Lecture04 - CIFAR10.ipynb

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    "<img src='https://www.anadronestarting.com/wp-content/uploads/intel-main_opt.png' width=50%>\n",
    "\n",
    "# 모바일넷을 이용한 이미지분류\n",
    "<font size=5><b>(Image Classification using Mobilenet)<b></font>\n",
    "\n",
    "<div align='right'>성  민  석<br>(Minsuk Sung)</div>\n",
    "\n",
    "<img src='http://solarisailab.com/wp-content/uploads/2017/06/cifar-10_labels.png' width=60%>\n",
    "\n",
    "---"
   ]
  },
  {
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   "metadata": {
    "toc": true
   },
   "source": [
    "<h1>강의목차<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#필요한-라이브러리-및-옵션\" data-toc-modified-id=\"필요한-라이브러리-및-옵션-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>필요한 라이브러리 및 옵션</a></span><ul class=\"toc-item\"><li><span><a href=\"#기본-라이브러리(Library)\" data-toc-modified-id=\"기본-라이브러리(Library)-1.1\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>기본 라이브러리(Library)</a></span></li><li><span><a href=\"#옵션(Option)\" data-toc-modified-id=\"옵션(Option)-1.2\"><span class=\"toc-item-num\">1.2&nbsp;&nbsp;</span>옵션(Option)</a></span></li></ul></li><li><span><a href=\"#예제---CIFAR10\" data-toc-modified-id=\"예제---CIFAR10-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>예제 - CIFAR10</a></span><ul class=\"toc-item\"><li><span><a href=\"#CIFAR10-데이터-불러오기\" data-toc-modified-id=\"CIFAR10-데이터-불러오기-2.1\"><span class=\"toc-item-num\">2.1&nbsp;&nbsp;</span>CIFAR10 데이터 불러오기</a></span></li><li><span><a href=\"#CIFAR10-데이터-형태-확인하기\" data-toc-modified-id=\"CIFAR10-데이터-형태-확인하기-2.2\"><span class=\"toc-item-num\">2.2&nbsp;&nbsp;</span>CIFAR10 데이터 형태 확인하기</a></span><ul class=\"toc-item\"><li><span><a href=\"#Train-데이터셋\" data-toc-modified-id=\"Train-데이터셋-2.2.1\"><span class=\"toc-item-num\">2.2.1&nbsp;&nbsp;</span>Train 데이터셋</a></span></li><li><span><a href=\"#Validation-데이터셋\" data-toc-modified-id=\"Validation-데이터셋-2.2.2\"><span class=\"toc-item-num\">2.2.2&nbsp;&nbsp;</span>Validation 데이터셋</a></span></li><li><span><a href=\"#Test-데이터셋\" data-toc-modified-id=\"Test-데이터셋-2.2.3\"><span class=\"toc-item-num\">2.2.3&nbsp;&nbsp;</span>Test 데이터셋</a></span></li></ul></li><li><span><a href=\"#데이터-시각화하기\" data-toc-modified-id=\"데이터-시각화하기-2.3\"><span class=\"toc-item-num\">2.3&nbsp;&nbsp;</span>데이터 시각화하기</a></span></li><li><span><a href=\"#데이터-늘리기\" data-toc-modified-id=\"데이터-늘리기-2.4\"><span class=\"toc-item-num\">2.4&nbsp;&nbsp;</span>데이터 늘리기</a></span></li><li><span><a href=\"#모델링\" data-toc-modified-id=\"모델링-2.5\"><span class=\"toc-item-num\">2.5&nbsp;&nbsp;</span>모델링</a></span><ul class=\"toc-item\"><li><span><a href=\"#모델-생성\" data-toc-modified-id=\"모델-생성-2.5.1\"><span class=\"toc-item-num\">2.5.1&nbsp;&nbsp;</span>모델 생성</a></span></li><li><span><a href=\"#전체적인-모델-구성\" data-toc-modified-id=\"전체적인-모델-구성-2.5.2\"><span class=\"toc-item-num\">2.5.2&nbsp;&nbsp;</span>전체적인 모델 구성</a></span></li></ul></li><li><span><a href=\"#모델-컴파일\" data-toc-modified-id=\"모델-컴파일-2.6\"><span class=\"toc-item-num\">2.6&nbsp;&nbsp;</span>모델 컴파일</a></span></li><li><span><a href=\"#모델-확인하기\" data-toc-modified-id=\"모델-확인하기-2.7\"><span class=\"toc-item-num\">2.7&nbsp;&nbsp;</span>모델 확인하기</a></span></li><li><span><a href=\"#모델-학습하기\" data-toc-modified-id=\"모델-학습하기-2.8\"><span class=\"toc-item-num\">2.8&nbsp;&nbsp;</span>모델 학습하기</a></span></li><li><span><a href=\"#모델-평가하기\" data-toc-modified-id=\"모델-평가하기-2.9\"><span class=\"toc-item-num\">2.9&nbsp;&nbsp;</span>모델 평가하기</a></span><ul class=\"toc-item\"><li><span><a href=\"#Train-/-Validation-Loss\" data-toc-modified-id=\"Train-/-Validation-Loss-2.9.1\"><span class=\"toc-item-num\">2.9.1&nbsp;&nbsp;</span>Train / Validation Loss</a></span></li><li><span><a href=\"#Train-/-Validation-Accuaracy\" data-toc-modified-id=\"Train-/-Validation-Accuaracy-2.9.2\"><span class=\"toc-item-num\">2.9.2&nbsp;&nbsp;</span>Train / Validation Accuaracy</a></span></li></ul></li><li><span><a href=\"#신경망-모델-검증하기\" data-toc-modified-id=\"신경망-모델-검증하기-2.10\"><span class=\"toc-item-num\">2.10&nbsp;&nbsp;</span>신경망 모델 검증하기</a></span></li><li><span><a href=\"#다음-예제에서는\" data-toc-modified-id=\"다음-예제에서는-2.11\"><span class=\"toc-item-num\">2.11&nbsp;&nbsp;</span>다음 예제에서는</a></span></li></ul></li><li><span><a href=\"#참고\" data-toc-modified-id=\"참고-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>참고</a></span></li></ul></div>"
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   "source": [
    "## 필요한 라이브러리 및 옵션\n",
    "\n",
    "### 기본 라이브러리(Library)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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     "start_time": "2019-11-09T07:17:40.051434Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "import glob\n",
    "import random\n",
    "import warnings\n",
    "import itertools\n",
    "from tqdm import tqdm\n",
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:40.520669Z",
     "start_time": "2019-11-09T07:17:40.057102Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:40.680258Z",
     "start_time": "2019-11-09T07:17:40.521893Z"
    }
   },
   "outputs": [],
   "source": [
    "import cv2\n",
    "from PIL import Image\n",
    "from PIL import ImageFont\n",
    "from PIL import ImageDraw\n",
    "from IPython.display import SVG\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "import xml.etree.ElementTree as ET\n",
    "from xml.etree.ElementTree import Element, ElementTree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.414586Z",
     "start_time": "2019-11-09T07:17:40.681323Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
      "/home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
     ]
    }
   ],
   "source": [
    "import keras\n",
    "import tensorflow as tf\n",
    "from tensorflow.keras.datasets import mnist,cifar10\n",
    "from tensorflow.keras.preprocessing.image import load_img,img_to_array,ImageDataGenerator\n",
    "from tensorflow.keras.applications import VGG16\n",
    "from tensorflow.keras.models import Model,Sequential\n",
    "from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D,BatchNormalization ,Conv2D,GlobalAveragePooling2D\n",
    "from tensorflow.keras.regularizers import l2\n",
    "from tensorflow.keras.optimizers import RMSprop, Adam,SGD\n",
    "from tensorflow.keras.utils import to_categorical,plot_model\n",
    "from tensorflow.keras.losses import categorical_crossentropy,binary_crossentropy\n",
    "from tensorflow.keras.callbacks import Callback,LearningRateScheduler\n",
    "from tensorflow.python.client import device_lib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.418498Z",
     "start_time": "2019-11-09T07:17:41.415674Z"
    }
   },
   "outputs": [],
   "source": [
    "import download\n",
    "from dataset import one_hot_encoded\n",
    "from cifar10 import load_training_data, load_test_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 옵션(Option)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.530169Z",
     "start_time": "2019-11-09T07:17:41.419347Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[name: \"/device:CPU:0\"\n",
      "device_type: \"CPU\"\n",
      "memory_limit: 268435456\n",
      "locality {\n",
      "}\n",
      "incarnation: 3224434792777753921\n",
      ", name: \"/device:XLA_CPU:0\"\n",
      "device_type: \"XLA_CPU\"\n",
      "memory_limit: 17179869184\n",
      "locality {\n",
      "}\n",
      "incarnation: 16232095803491643921\n",
      "physical_device_desc: \"device: XLA_CPU device\"\n",
      ", name: \"/device:GPU:0\"\n",
      "device_type: \"GPU\"\n",
      "memory_limit: 7638145434\n",
      "locality {\n",
      "  bus_id: 1\n",
      "  links {\n",
      "  }\n",
      "}\n",
      "incarnation: 6768635970174448390\n",
      "physical_device_desc: \"device: 0, name: GeForce GTX 1070, pci bus id: 0000:01:00.0, compute capability: 6.1\"\n",
      ", name: \"/device:XLA_GPU:0\"\n",
      "device_type: \"XLA_GPU\"\n",
      "memory_limit: 17179869184\n",
      "locality {\n",
      "}\n",
      "incarnation: 290946758098063534\n",
      "physical_device_desc: \"device: XLA_GPU device\"\n",
      "]\n",
      "WARNING:tensorflow:From /home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:174: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.\n",
      "\n",
      "WARNING:tensorflow:From /home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:181: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n",
      "\n",
      "WARNING:tensorflow:From /home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:186: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
      "\n",
      "WARNING:tensorflow:From /home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:190: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['/job:localhost/replica:0/task:0/device:GPU:0']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\"\n",
    "\n",
    "warnings.filterwarnings(action='ignore')\n",
    "warnings.filterwarnings(action='default')\n",
    "\n",
    "%matplotlib inline\n",
    "print(device_lib.list_local_devices())\n",
    "keras.backend.tensorflow_backend._get_available_gpus()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## 예제 - CIFAR10\n",
    "\n",
    "![](http://solarisailab.com/wp-content/uploads/2017/06/cifar-10_labels.png)\n",
    "\n",
    " CIFAR-10 데이터 세트(Canadian Institute For Advanced Research)는 기계 학습 및 컴퓨터 비전 알고리즘을 훈련하는 데 일반적으로 사용되는 이미지 모음이다. 이 데이터셋은 기계학습 연구를 위해 가장 널리 사용되는 데이터셋 중 하나이다. CIFAR-10 데이터 세트에는 10개의 다른 클래스에 60,000개의 32x32 컬러 이미지가 포함되어 있다. 10가지 클래스에는 `비행기(airplane)`, `자동차(automobile)`, `새(bird)`, `고양이(cat)`, `사슴(deer)`, `개(dog)`, `개구리(frog)`, `말(horse)`, `배(ship)`, `트럭(truck)`을 나타낸다. 각 클래스당 6000개의 이미지가 있다.\n",
    "\n",
    " 사진 속의 물체를 인식하기 위한 컴퓨터 알고리즘은 종종 예를 통해 배운다. CIFAR-10은 컴퓨터에게 사물을 인식하는 방법을 가르치는 데 사용할 수 있는 이미지 모음이다. CIFAR-10의 이미지는 저해상도(32x32)이기 때문에, 이 데이터 세트는 연구자들이 무엇이 작동하는지 보기 위해 다른 알고리즘을 빠르게 시도할 수 있게 해준다. 다양한 종류의 경련신경망은 CIFAR-10에서 영상을 가장 잘 인식하는 경향이 있다. CIFAR-10은 8천만 개의 작은 이미지 데이터 세트의 라벨이 붙은 부분집합이다. 데이터 세트가 생성되었을 때 학생들은 모든 이미지에 라벨을 붙이도록 돈을 받았다.\n",
    "\n",
    "출처 : [위키백과](https://en.wikipedia.org/wiki/CIFAR-10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.533775Z",
     "start_time": "2019-11-09T07:17:41.531630Z"
    }
   },
   "outputs": [],
   "source": [
    "# CIFAR-10 클래스\n",
    "CIFAR10_CLASSES = ['airplane', 'automobile', 'bird', 'cat', 'deer',\n",
    "                   'dog', 'frog', 'horse', 'ship', 'truck']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CIFAR10 데이터 불러오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.710937Z",
     "start_time": "2019-11-09T07:17:41.535270Z"
    }
   },
   "outputs": [],
   "source": [
    "# Keras에서 제공하는 CIFAR-10 데이터를 불러오는 함수 : cifar10.load_data()\n",
    "(X_train, y_train), (X_test,y_test) = cifar10.load_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.714145Z",
     "start_time": "2019-11-09T07:17:41.711953Z"
    }
   },
   "outputs": [],
   "source": [
    "# Train / Validation 데이터 분리하기\n",
    "# Train 데이터를 Train / Validation 으로 나누어줌으로써 Overfitting 여부를 파악\n",
    "X_train, X_valid = X_train[:40000], X_train[40000:]\n",
    "y_train, y_valid = y_train[:40000], y_train[40000:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.717631Z",
     "start_time": "2019-11-09T07:17:41.714942Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MNIST Train 데이터의 크기 : 40000\n",
      "MNIST Validation 데이터의 크기 : 10000\n",
      "MNIST Test 데이터의 크기 : 10000\n"
     ]
    }
   ],
   "source": [
    "# Train / Test 데이터의 크기 확인\n",
    "print('MNIST Train 데이터의 크기 : {}'.format(len(X_train)))\n",
    "print('MNIST Validation 데이터의 크기 : {}'.format(len(X_valid)))\n",
    "print('MNIST Test 데이터의 크기 : {}'.format(len(X_test)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CIFAR10 데이터 형태 확인하기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Train 데이터셋"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.720928Z",
     "start_time": "2019-11-09T07:17:41.718409Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train Shape :  (40000, 32, 32, 3)\n",
      "y_train Shape :  (40000, 1)\n"
     ]
    }
   ],
   "source": [
    "print(\"X_train Shape : \",X_train.shape) # 32*32짜리 크기의 RGB 이미지 40000개\n",
    "print(\"y_train Shape : \",y_train.shape) # 각 이미지별 레이블 40000개"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Validation 데이터셋"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.724014Z",
     "start_time": "2019-11-09T07:17:41.721760Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_val Shape :  (10000, 32, 32, 3)\n",
      "y_val Shape :  (10000, 1)\n"
     ]
    }
   ],
   "source": [
    "print(\"X_val Shape : \",X_valid.shape) # 32*32짜리 크기의 RGB 이미지 10000개\n",
    "print(\"y_val Shape : \",y_valid.shape) # 각 이미지별 레이블 10000개"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Test 데이터셋"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.727257Z",
     "start_time": "2019-11-09T07:17:41.725036Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train Shape :  (10000, 32, 32, 3)\n",
      "y_train Shape :  (10000, 1)\n"
     ]
    }
   ],
   "source": [
    "print(\"X_train Shape : \",X_test.shape) # 32*32짜리 크기의 RGB 이미지 10000개\n",
    "print(\"y_train Shape : \",y_test.shape) # 각 이미지별 레이블 10000개"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 데이터 시각화하기\n",
    "\n",
    "CIFAR10의 Train 데이터셋의 첫번재 데이터를 확인해보자"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.731158Z",
     "start_time": "2019-11-09T07:17:41.728035Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ 59,  62,  63],\n",
       "        [ 43,  46,  45],\n",
       "        [ 50,  48,  43],\n",
       "        ...,\n",
       "        [158, 132, 108],\n",
       "        [152, 125, 102],\n",
       "        [148, 124, 103]],\n",
       "\n",
       "       [[ 16,  20,  20],\n",
       "        [  0,   0,   0],\n",
       "        [ 18,   8,   0],\n",
       "        ...,\n",
       "        [123,  88,  55],\n",
       "        [119,  83,  50],\n",
       "        [122,  87,  57]],\n",
       "\n",
       "       [[ 25,  24,  21],\n",
       "        [ 16,   7,   0],\n",
       "        [ 49,  27,   8],\n",
       "        ...,\n",
       "        [118,  84,  50],\n",
       "        [120,  84,  50],\n",
       "        [109,  73,  42]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[208, 170,  96],\n",
       "        [201, 153,  34],\n",
       "        [198, 161,  26],\n",
       "        ...,\n",
       "        [160, 133,  70],\n",
       "        [ 56,  31,   7],\n",
       "        [ 53,  34,  20]],\n",
       "\n",
       "       [[180, 139,  96],\n",
       "        [173, 123,  42],\n",
       "        [186, 144,  30],\n",
       "        ...,\n",
       "        [184, 148,  94],\n",
       "        [ 97,  62,  34],\n",
       "        [ 83,  53,  34]],\n",
       "\n",
       "       [[177, 144, 116],\n",
       "        [168, 129,  94],\n",
       "        [179, 142,  87],\n",
       "        ...,\n",
       "        [216, 184, 140],\n",
       "        [151, 118,  84],\n",
       "        [123,  92,  72]]], dtype=uint8)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx = 0\n",
    "X_train[idx] # 3채널 RGB 이미지 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:41.849664Z",
     "start_time": "2019-11-09T07:17:41.731986Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(X_train[idx], interpolation='nearest')\n",
    "plt.title('Label : {}'.format(CIFAR10_CLASSES[y_train[idx][0]]))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "조금 더 많은 CIFAR 데이터셋을 확인해보자"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:43.156303Z",
     "start_time": "2019-11-09T07:17:41.850508Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fUXZW2f7+nS2xQNWnj3HqmaJsq9dSeZTrN8FgCMsa8s8/F6JEJQ0usMxM8BmaS3I71MJJUX1hKEm5byDuz8YVCvFn7U/VSjoznlZSEbAfh+IhtZ39MJNVPqYSEgyPUpqjfb1OLWydUgtBp5QzhEM8T32TP0mLU/4dDofUMby3EbXQVU/KglG1f3BmyfLL0qw75+4FcO/LOYdhLDXMbwyjPMxnDKN8zG8uHl5WUSTDMAzDMAzDMC4cFzwbzMWMDlk6JX3x5YYOM+fouAoJ3f39+zy7to4ZK0LpaeFVx+MDKo/nD77/uGe/9sb1nv2KyzeoY1VO3KBpYpYa51O/QO/ndOJm6DB/qe/4pQpYlNqnODokqnPX3vP9uzy7poah0htueKXv+HRGJ5nmuSJqVX82R188ffqkZ7c0dc7YPqPyCYUEjY35v3c6w5B0JsO+m/VlRlHPb3UeleYZKmGFT54FTPMvFX7XVVe0DEbnidbjhVOZVDI5JV/JFZfy5LLMZqElMak0z5NOKZlApnR9gUyuuHwzq6QFuazO4KRlOpZ5bLGTTacwcCr/LHQB9quqBuYfT+lc50rqUdtAOUk4zGNFyTsy5xiDQkpqkkvxGnVRntepfO8RlW0lFFTP9fExz06r+ZlEub+Wf0XVmBCJqrYqmbGWwTjlkwAwpjKR6VoNWnqms05FVbtzavtUyp/RrBj2Zt0wDMMwDMMwKhSbrBuGYRiGYRhGhWIymDIpuerdV1GCYZOBgWFl93v28BALIS3vYKinOsGQEwCMjvK8aUdJwMQ4Vzd/7zsPePYVGymJUckLfjF7gbGoKTdTi7/fqhXp0/rFxPiQZ+/evYPHqywSWy57hWfXNzONr3M6RKgkOL465hG1v35XwPPrvvr87l2evf3hRzz7v912m2dX1y7z3UNGF5jQ2TjU5TKqhHQmS1t85aQtw8ViJZLpwcrBfwEAuNp13vZMLQs4pgPM/JMBi2GlHcuXT4FZMXLKb8LTpGC6b+nMYHp7yFdQqHgxMVEHxEAJpCiZSVZlxciKzh6jhnMlp5xSxV6mkrTTaX82GC0fy6jMGBmdTUbv45P4FL8fY/GQzWQw2p8vblXVwGdqXGnB6pvruL+SuEypbDChGKUeUZ1VZlqmu4zOTKRkW319nCeFgjy+vp4+Gq2lPaUyxmRzehyhL4VUW6MhbtcymMERSmgiQSU/Vm3OThsTouqz8cuitWSHY15IXXt0gtfLJHXGmOLYm3XDMAzDMAzDqFBssm4YhmEYhmEYFYrJYMqmuMwgVyKsufeFo559/CVKX9ITIzx2gtko6hqafFfLBBh2HJ845tlTk32e/fMHz3j2Qzde7dk3/9L1nm1FKy4uyi1GpMNyOkuQy/hDk/te2OnZj/6c6XkTEYYjM0lKsLa+8pc8u6GeoVMd5nfqMSNaCqCapAvOjI5RivPTn97v2VdfTfnN617/Js/OTQu753QWJBUKHRykz4lq05pOSsec06F9e5exWElN9OPkM/8BAIhGKGupilNmGEw00o61eHYs3ubZNTE+j0Mxht6rq/zP6Ugd5TXZOLN7TQV4zCTinp3WWWkyqv+qjCw5JXcRJa2J6P7udOYZnbqGZlwVX8kkeJ502u/7aaViS6e0REFJHEJK3qZUNLGISV8WO8FwGHVt+b5b00TfWNZKuVgqySKNdep5PzLG7aLlkCpD0cS0jCeTSjqjn+FVdZTaJJPcJ53mNQIBSodHhign0eeREOUn4TDHr3iwuNxrYoLnr6pW0pUg7enEY0rmk1ZFotQYlEzyvsfU56dlaG7K74vFsNHIMAzDMAzDMCoUm6wbhmEYhmEYRoViMpiyUYnsp1hYJRZjiPP0CYbbdz591LMnRxj2CKqCFGeO7ud5HCUGADA2wnNNTVIuMzTQ69npCYZwf/Ljn3n29ddu9ezaBq5uNhYn51Pk6Cxa0jE4NOjZ+3bt9O139NDznp0cZSajnAqxnz5+0LOzQYY5r7vuJs+urVvOfVSWClEZJATFs8c88cRjnj0xQX/4/d//sGfXqVCpDtkD/swZAWVPjDMcGY8zjFqVYIElXQdKAvYuY9HiBNlCwaDJCT6np8aYdSEnJ5StpFOO/TWo+n0wzP7QG2fGCwCIK1lMff0Kz65W2WfiNWs8Ox2lf2QS3D8VpbQgHaL8ICccX6B8WSXU8GVsCqqsLSFVwEnVd0HEfwvI6exMWX4GiSiv3dRMO5Dl51odpyxzerElY3EQCofR0N4MwP+c1tlTdHHF4T7+zfuHRj27rpqys+Zm9uGaOj5nAWBknJKQ0XH6pRP2vZiSmURDqlieyual25qIqSwuqiClllnWx9V4pLLERKLFJS0ZJVdJpf1FkXQmGl3ALxTSxZYoowmGud3pzGOzGGpsNDIMwzAMwzCMCsUm64ZhGIZhGIZRoSx6GcysS5io0JwOm+Rc8TM4tX9QhcPTakXzk0+yaEwkxgwC/3Unw/g7d+317OZ2ZgYY6GZ4P+gY0h+f9Msb2loYUhoaYgjGgdtDMa7c3neI8pjPfe7rnv3ud78BADCVVCuWjUXFbKQvrkQmFL29qooSkGDI/whoamn17JZW1V97ejw7rEJ5/aeZoejkUcpjrria/uACOhONCs+rsGZ3NzMa7Xr+Gc++8srLPHvVqlWePaGkDVr2kv9ZZXRR2ZT6+nmNoMpqEY2pz0lJCSyB0uLFOYdsIZSt3caFdDYv6kASEYbMM2n+4f2FW9QFktPC4QP0g4Hjp3m9IAt5hZXsJBrm8zsco1QgUU95TFgVc8opqUyinr4VVNlqUqqwU0ZJCTI5huFzIWbDCYf80shcgPtF40r60kj5Qk01P79sSmWrUfoac5vFSc7lkMrmpRz1StZ7yWr2ySOHjnh2Xz+zdk2McT6TGad0N66eswj5x69wiA7RVEt/UN0KA8NqnhRQ8hWVbaxOyWu0BEtnQMumlBQOauxQbchmdaYkOvvEuNp/mjRSlLwmEtHFj5SUTu2T1dme9EcTmvm9ub1ZNwzDMAzDMIwKxSbrhmEYhmEYhlGhXFQymNy03+mgS0D/oOIPWZXA31fWSJ04qVYtH9h/yLO///2fe/axLl69Z4jhxeoGZgNoa+Jq47ERhlbGVQipf9Sf2aJGZXGJRClRqGtg+Ka6rtmze4d5Pw8+9IJnr+3MZ4wZU9kQjCWE6twxtWK+tWO1b7fBkQHPXr6c4fa2DkpQBropiUlOMGPMvj3sbzpBy5pLNnt2Yz37cEYVZfn+9+/x7OpqynQuu4zHbt++3bOvvooFkqJRhvYBX10ZOOEK/eERymAyOWYvOHL0Rc+uirN9yxpZ3MZYXIQiUbR0bAAAjKssQJmUyqI1yeduIEwHyWT4bM7k+DzVY0jAsY8CQDbKfqYLFQUcn/kuy3dj40k+vyNJ7t/WRClLOkVf7D5OOWV/kn03GOC9ieM5c1n6eMdK9unhICWT46D8EgBiDSvZphYlx4kyi40EONboyUMuoLQLVh9pUeJyOUyN5wsMhavZby+7hH//zesozdrxPGWPI6qg0OgQ+22VKpaVSPhlV51r13p2uxpfkir7Su8g5yuTqpDk4WMvefZLpzkeDQxxPEoqPY2WhG5YxXEtm1JZX1QBpylVsCmgHF9njAGArJs+68zjk6yq+WZUZZ/R502l+PmVwt6sG4ZhGIZhGEaFYpN1wzAMwzAMw6hQbLJuGIZhGIZhGBXKotesSwkbmPZNxBVPyxhWFbkyqgLV3t3Usb64e49nj41Td+Vy9Z7dfYYaqvpW6vqqqlhddGKM+sJkiqmRXJDa3TT8qRV7Btm+2sY16jfUPo2OqqqnYVXxK8xUQq0ded1ieHrZOmNRojVxpVI6zqbiaXVdve/nvQcOe/ZAP/vSulXsx1UJelZzI7WtI6ra7vOP3+/Z3UeoZX/tzf/Ns7sGqdN7+plnPfv29/y2Z7c00Zfuuuu7np1z1BVfvfUG3z0kYqwCOTjEKpVn+lgBOFZN/7nvEerl+1U6sjfe+uswFicNjS247bf/EACQHj3qbR8ZY989o9ZeDPZ1eXZKVSVMq3yNE0lW/k2O+1M3psZYzVHSfB6nJ/icn8px7BgN0u8kztSNVRnus6qZazFyKerUY2neQ98kNe4vnqH/Jc+w369fwWNPHWW/f+HgmO8e2us4Pg3Ucb+T6hlR3chUkdEqrsda/obfYFsD+crZlsJxcZFLZzDWk+/HYyrl4sgg+/ayRuq9L9u8ybMzTqf05HO9llMQrF/F9KMAkKhm302q9UvjKi1qW706b45+2dLItReRGCvAHzjKedjQKPt3Ti1kcjleS3SKRZV+NK5SV2Yy/Cx0NVIACKt0jb5rqLF3cozt0CkhcwHOxeJV/vMWY8Y36yLyHyLSIyK71bZGEblfRA4W/m841zkMY6lhfmMY5WE+YxjlY36zNJiNDOZLAN44bdufAfipc24DgJ8WfjYMg3wJ5jeGUQ5fgvmMYZTLl2B+c9EzowzGOfeQiHRO2/wWADcV7C8D2A7gT+ewXbPGl55xWuBNSsThtCKg69hxz37+WYbiD+7d59mREEMUh08w1PHiAVaqe81rXuXZbauY3mj//m7P3r2LacNyAZWSMaaqzWWUpAVAdSPPlc0wDJRSaYxaWxmmzMWYUiyUZThpxep8yNJkMPPDhfCbUlIWvd2VWXZTh/EAYMVKpm9bVqukViP9np1Q/bVBhSNX1jOsOTHK9F0Hdj/n2VMqTd3hM5QVbN680bO3Xsm0jPoBVV3Dvn33Pd/y7KHhfmhe/apbPTuZpp+IqqTa00cJxL7DTIvXN8DtgcDMoUlj7phLn4kHp3BZdT7Nbmjybm/7/obf9OxE5xs8O6YqiubSKt1cjM/WYIL7pIcpMwGAyJ5/9+wDB5707O8/x3D6mLD/Jp2SQY5R0pXqo+Sgtppp6LZtpK9AGMa/8wGmtus6yuf9sgglbEODlLd0qRTDU2l/muCeUfrH2BSPaUzRvyZ7OIaNpygPvf5a+pzAX1HYuLDMld8EQwHU1ef7+A3brvS2N9bxGd/dz37oRElulTykt/uUZ8eXcUxY3uKXXI6Os+9GVRrDYJRzlIBjH00qv1zRxrS61bVsX0O9qub+EiWdSPNa9TWseNozqqTJk5Tv6GqmQSUtzk5LsRhM03dzTqcEp50apwxtUklzUlnus6yF7S7F+S4wbXXOnZ2pngHQWmpHEfmgiOwQkR29vb2ldjOMpcCs/Eb7zPDwcLFdDGOpcF5jTf+Q1ZMwljRljzWZVLLYLkaF8LKzwbj8q7ySr/Occ19wzm1zzm1rbm4utZthLCnO5TfaZ+rq6ortYhhLjnLGmmX1iVK7GcaSYrZjTSgSK7aLUSGcbzaYbhFpd86dFpF2AD0zHjFLSmWw0Nv9+/BYmV7DVPhdZGyQWR5272JY/uA+Zn2ZUKt2g6oyVVKFMVyO4Z6rtnI19B23/7JnVzdwoPjsX3/Zs7NCSUyIUVCkGElBKMAQDQCMTzGkOKHCpZesYfWvjjau0D9wilUaI6BsJlGdv6Cu5GXMOxfMb8pB+08k7H8EVFUxVH/sBMOIsTBD7K0tzLYyPM4+qcPq0WquZ0rUs3/uenGXZx84csyzf/8jH/XsmjidI5tj/1+5mtVWn9/7lGcfPEr5GgBU1bGPB4O8v4lJ+vfx45S/DagMMFr6cuaMRQIrgPPzGTeJYDr/bA9mKC1pWKbkJPXMTqGrHWZzfCs/Oka5S4PKyLIm9bjvck1t3to+jJxRVQoj7H/t1eyXjWFGzDavYNj/ik6esyPB/lpVQ3lk9xizxHSE+Iy/op5j1iUrlV+r7BdJJY2sWeaX1cWCyu9URpuskijoTGpjqmhrLkOpwNlEIlbIdEEp22+C4SAaluef29duu9zbHlB/56CaPzQ0UOKSSrK/1CTYn/sGOOcZGvPLFRNxfjnIjvMi0SCvEahSz/Ip2imVWS8C9u/1KyiPaVrGuZRMUZbZO0A/fvEA/TulsgGGlKxnUlVnHUn6ZTBpJeXJqDlj/TLKWhKqInc0xnExEqa/JeJzkA2mBPcAuL1g3w7g7nPsaxhGHvMbwygP8xnDKB/zm4uM2aRu/DqAxwFsFJGTIvJ+AJ8F8DoROQjg1m/an3cAACAASURBVMLPhmEUML8xjPIwnzGM8jG/WRrMJhvMO0v86pa5akQpuYtOMq/R21WEDqlpCySOHDjg2fv3UO4yPMhQaECtrA+rRezxBEM0wWrKWmJ1DEEe72b4/ODeZzz7ym1XeHZVjOHO9uXq3vp5sfFRhhAj8IdDEnH+LpdmeEkL0E6eYkEPHbKpquWfNxbLfy8zFcz8MFd+IyKedKlU0YXp+8+ibZ4dj0V9v0skGJp78cBBz66v4/aRSUpfGurY3yIhFbJUq/hj1cwCMHxIFSYKs627n33Ms9evvcSzG1s7PXs0SVlARhUP6+6n9AsA9h2mr8eVDrOnh/t1dzM8m1ISiFCYPibiL1BmXFjmcqwJuCzCuXzYvW+I4fpwiH2jvlk9j6u5nirT+yBP1PdjzwwNs7jXlJLWAAASfNauaWLY+3WX0lfiMfazqjD9ZipFX3lkJ+0rLuFYsEE98RPC87z1evrlyTUM459WGpV7d1ACgKYbPfPKV77edwtVjvtNjnPcCmWY3cNl2e5ljuNiKMF7zpZcVWBcCObKb9KZDM4UshH19lMCeNUGZqQLhNg/V62iz7y4j3Oqunqus4q3UzK57xAz7AHA6g5KVtobaU8qSUxWSZkjAfWczrB/1qg21TTweb+ihe0L5TjObX+S9zY5qhI45HitzBTbIEHO1SIhfza9aFND0f209MWpSWpVjD7j1PAyMjRzIgmbuhmGYRiGYRhGhWKTdcMwDMMwDMOoUM43G8y8kFOr2EMhNlWE4YZjLx3x7EN7uSIfAAZ7ufo4m2EIJR5lSESHdepqGboIqrXsY8NcPZxUK5qro5Ql3P/Dezy75zTDhi21lM2MNzE+2NXHsEc8xtDN1DBD/QAwMkCpTUQVuujpofTFJ49QX7+yKhPB2HD+PLmsvxCGcTEzsyQmMG2Xq7Ze5dlPPkVpyrET9LNe3SeDXE0fUidr0L6krtHbzyJFm1R4NTNJH/vB97/h2dffzCxLy1cyVNrc2ubZwyP+EGJ3D6/R1kyHSKcpk5uaUimYlNMEAny2OKh9jEVFzmWRTub7QSzIZ14uyQxEwTEW1qqeZOaI6PADnj2Z3e/ZXUou1dXjD4efFFXYSI1biSj70+SIKkiUoVMEaniuvb3MLjGlirHEld2YYIj+xAj336kKHu3v4j6jVfSzy1/7Vp5n9WW+ewjlOPbUBOm/gTDPG65ilouMkrtII+/hbMIYU8MsLkQCiETysqqHH2Nhrxu3sp/Ujqlnv6MkankLpS/jSfrJ4aPMKBaN+GWFcTX3alByzHiEc6ZsjsdkJvn8rgnx2gHQ3q8K3E2o7GRvfuNNnv3sHkpR2let8uxENeVyoxNqHqa0wzLt9XZUFZl0SoI6OMLPaSrNe5ga5dg0MagyLo37533FsDfrhmEYhmEYhlGh2GTdMAzDMAzDMCqUipPB6NCZTnjR18eV6rt3c1X+MrXyOJdm+AUAqhIMdwScWpFbxRX0EmGoJJVkmGWgj6v9J1TC/3SSYcdciuesifCc+59lFpr6Bobu3QTbM6VW208kGTKJ5vxJ97NJ3ndOGKbJgNIZCfK8VSG2qbWeocza6vz+VhRpceGcK5n5pRgCht1FxexKncJNKyTWtIzyko2XMKvRyVOUdk1O0B+SSlXlHP1vTIdLtRxLyU+6RxgSRJx9++CTDMGeHKA/fPgjf+DZL6mCSj9/RGXvANCt5G8BpxvIz0bL6tIZlUVKZdpoa+5QZ30JxuJhYDiDr/wwn/UhHmUY+sZLVei+72uePTZC2Uj3MJ2lf4w+NKUK4tXW+R0qUc1xqL+PIe1mlfKhcy2f0ytbeHw4zPPeejUzJ0mY+5zu53P9u09y7Nj1Es8/OsHz1CzjuPNqJX1JrOn07PFpGjgXWenZwRD9ESrTSzrAcS4wxc8yHKDPhV3ex6WM55ax8OSyOYyP5P+mO3uYueXBh5/27Ftfe61njwzyb14bY99rqFaVUNPMyDIy6i+KFAmxf+w7wDlddYJ9b8uVWz37vke3e3ZfFzOVbb2cxc2GuinLXL1+s2cnfDXC2NY1G7hPQPlbzQTneRJSaQKnZSjMqYqWWV24U7lWcorjy4SSrbU08bOBmsceRXFs5mYYhmEYhmEYFYpN1g3DMAzDMAyjQpl3GYw7G5ZWGRhEGFoYGqD8RBf7GRxiCKWri4VVwgGG7lraGfoDgICKwqlABnJZhjwnUgzFj46qRPiqQlK0imGd8ATDHrqYRX0DV8kP9FMm8MyzDO+MuCbPzjquIg6FGCYJpJU0AMDJYwxHtS/nqv6GZQz9ZBxDK1UqlHPjq17p2Y2NdYVr6U/CWAyUI4PRCWB8xcaUwEzXTZLpoXB1gmu23eDZe/c+79lHjrCwjCiZSTpF/0mn6d9RlX0po+7l8HH6cVcfH0WBAMOUz+xgsbGvf4VZYiIqrhkJ+ws7TU5ShjA2xv2CUqLgmqOti17ccO1Nnv2NLz4CY/GQy+aQGs0/F+tVoasa1Vcm+lV/VcXx6pfRBzo7aCfUsxUBv+QSKmuFa2H/7VeSmtNDfM6fGlCZzlS/PDzA8z53iBmS9h3n/r1TKjOays6yaiMzOXXe8HbPrlp+vWcnhUVqqqb5fjbAzyOi5HGqFh8CKkNS1PF+gkLbBQrHislgFhMu5zBVKEhUX81+9YP7HvLsFctbPPvKS9d69tAg522ism5tWNnq2WNJJa0CcKqL0sKAKpDXsXq5Z48Oc97XfZLSx75TzDIz1EbfaG6mTGvDOs4Hx0bpS6EYpWZtCRY1CqrsNlNVbGtMFQrMZv0ZbVJqzMspd2pX2Qf7+liEaTzGsSkeo7xM1GT1cRTH3qwbhmEYhmEYRoVik3XDMAzDMAzDqFDmWQbjkEM+jJAcY+ii5zhX9g6osEdSFfCprWYsrvOGKz07IAxrBsMMKwBARq3CTask9+NqRW4gp0J/akVzLsCPZniIx4oKo0ZVMYvHn+aK6Z27GLpHiKt81131a2yPiqbUxClNqQv6i22MDSu5jAq1hrIM67S3sk3XvIJSmXXrWOjDzaJAjnExoKQe0CE7+lIyyXBfKOJ/BETDzFixprPTs9/4xl/x7G98o8ezz6hQZi7H7/7KrTA5ropZ1NIfYlX0t1FVLCKnCsaclW8BQFVc+XpEZWJSMjUAGBqlDG10gpkz6usY2qyqVs8KPg7wiiuZ7WDD+i0wFieN9RG84y2rAQB1aYahcyr715TylViaoe6UknAdU+PU2BT73GSWz1YAyKikQ5MpVQgpwz7eM8rrnTo5ofZh/x0LUKbiogzXh1awTZ0rmSGjrvNqzw5G2afDKzZ69niObQ0qZUpMyVgAwKkMY2ld/UX0M0IVqVHShZwuJubO3rO9C1xMhEIhLGvM97+USmdyrI/P5s985vO0/9efePaGDZQjj41yfKiqYt9pbKZ0FwAiKgtSSMkPmxopnXnqKYpCAkH2sVNnKMd64eCgZ7/hra/w7OoofXpyQsnZaugPGafGlKySPmdVoUlwMItH/fOzqDrX2CR9WhdFqlFZCRtU4aXqOLdHwzP7inmTYRiGYRiGYVQoNlk3DMMwDMMwjApl/osiFQqTDA4ytLJnzxHPrkowzLCshUnjG+qqPTsSYbguFKadyfpX6OvE9IEYwx3pJMMvk0mGOyaSPH5ggKGPgHBl9KkuFjx6YPujnj0yyrCME9U+VVyi9wylK9WqWJJkKP255jqGOAGgq4uSmuY23sOVV3Al9qVbGILauI72JZes9+xwISOCzhBiXBz4k8UwHq+ihjh67JBnP/zwzzx7y2UsfAQA1257ddFrXHsNM8MEg7zGT+69y7OPq+wuwQD76tAQfT2dYRh9VdMqz+5cfYlnd3WxsEVPNzNC7d71rGdvvpxh/roqhhMBIKUyPIWVxCwQKd7313fST7ZtpQzm0UceLba7sQhw0Vak1vwPAECPyiSWFUpFkiqT0USK760yQSWJUdKubI5jUzDil1wGVdeqUpKQeiVrrFVFZNp6mM2iOsbweX0Txw4XZEG8jCoydmiC1x5o2sD7SSsZS4/KENbCsTOpnhUp8fuNTiUlKutLTXpK7cIpQ0rdZ1BJVgNnTUsGs6gIhcNoW56XoJxSheWC6vl66kVKlv/iLz7t2f9LSWI2Xdrp2Vkl3Q0E/c/fdpW9LxCgn4yP6cKQ3D6lil7msvTLzRsoV1yhsthk0pzbRZUUJSb0q0klfUllaCsVDFKqb0dy/k4dUlmhdBGwXFr5g7rtunrOB5fVUeIZmVacsBj2Zt0wDMMwDMMwKhSbrBuGYRiGYRhGhTKvMhjngGwhc/x99z/mbT915Khnb92y2rPXr+FK26haLZzLqXCFWoUfUGFNAEjElURmisd0TzA0M5bUq4QZljnTfcazf3T3D3kNtRp4aJjniVez4NHYhErAr2QwdSoBP1QRjokkwzIPbt/tu4eNl1LW8ppXU6Kwbi1D9+s2sIhARyvt6LRiMcbFiiths489/8IOz37yqYc9WxdjAIDLtjC7RJWSjgWE/nPttld59sZ1l3r2ww9v9+y77/ke99lEydZVr2DhlrXq2NYWZgoYGWUI9vAhFmB66rEnPHunyr5U3eDPBlOtiliMZZjJqbuXfpkcY2h/MMhsAvv27PXs4ycowTEWF7lgDaaW3ZS369h3Q6oYXUQV44uoMLwO1jvlQ1CFtIKpMWiiKcpaQkk+w2WK2ZKioaM8vpmyFp1tQmcqO3T8tGfvPkZfDG2h9EUa2b5MhudMjdGHkGE2nLZl9I0w2O8BoC7LMa82y74fz7LgTV+WcoLDASWZSzCLDXV5poNZTEQjYXQWChJllSwjOcbnZtMWSk52P8453Cc+8Tee/cm//HPPvvxyyhuHlAwMABoame0oorKhDKpUeSPjfE53q+JCqzo431pdzz55/OnnPHv9Da/x7Gwtx4jNK3jsi8foM72q4FFGSd6cemZIwP9+O6hlbrX0rUiMbZpUMrKYKhDoK3YYsGwwhmEYhmEYhrFoscm6YRiGYRiGYVQo8yqDyeYcxkbzhRh+fB+T3UOt2m1vYWhkRK3ir1cr9F2cq+HjMYY3Ahl/wvrebspL+vsY7mhpobSkixE+PLWTIfCf/ewBzz5+6HnP3nIFk+5HY7owhipepDIFxFTi+3iUK4eTjiHI3p49nt1YpVdCA2/+lQ959uZNzBSzpnONZ9fUqMT+Sq6g0+FYFphFigASyPGHAqEgXVf031yFL7WcpG+AYe1QlGH3iaRyAABTSYb3q+PMxuSUxEwX2GpqZkaXZJrnjSbYJ99z+3s9e9Va+t6u3cx0dOAoZS3xOLM1bb6CIf/XvpphzV27XvDsO7/5Nd89TIzTh2qXMRPG1Lj2Ld7PmYFuz35+P32xfVkdjMWJOEEwnX8mO8fwdk7JvpzweRzJMNQfm6TfSJJjAqbY5yKTajuAeIqFYCIZFuLK5RgCn3L0zdNDtHcdpt+8eJRt6s22eHbNpjd59roOSsnawrzu2vRRXmv8Sc9OjDCDx+Yg38/FHIuHAUAozJ9HhinHOXKC93MmyGxJwc03eXbAV0Tp7PPBxpzFRDgUxPLGvGw35Dq87ckk+0VH/eWe3VbP5+OjD2737M9++u89+w//8Pc8e9sN/iJz42M8b0AVmBShXVNHyUq0htdL9rDfj41wzNr/LH002NLp2c2bKEFe0845ZjTCcWrPCfp9z5AqQBnkeBSN0s7/jmNvWlVGS6V4/OQkx52BAc5J61SGmuYGyqVLYW/WDcMwDMMwDKNCmXGyLiIrReRBEXlRRPaIyEcL2xtF5H4ROVj4v2GmcxnGUsB8xjDKx/zGMMrDfGbpMBsZTAbAHznnnhGRGgA7ReR+AHcA+Klz7rMi8mcA/gzAn57rRMlkEnv35Yuz9PYzNJDL8DvD3kPHPTsaYXjjVa9i+KWmnqHtiSTDdQOnGWIAgL4+Fkc53UXZyd79tL97D+U4J88wHD4yyn0knPTsYycYUsxk2Y5YhCGNREJlpxDeZ6KK7blKFTJ65TU89oZt/lCRLlLT0MAV96GQ/p7F0K7o0KNFIReKOfMZASDIh9rSGfbDQ4f2eXYgQDdet3YdG5FlCD6XY6g9rFbe59y0Ig9hnVmF53VKXhMOM/R3sovZLp7awdD7Lbe+zrMvVfKtp59hVpof3vsjXinC9q3uVDK1M8yIkZlilo31a5lJZsOmy3z38PCjlLCNjjPU2tSqQo0qE8ikKmARU6HJ1OT814xb4syZ30AcAoWCJRGV0MXlKHcJDNGHQkPsu9kxZh3CGAv2hUH/c2F/5rH+ceUT/XzwvtRPWcupAR7TTVUmJnKcR7WrAl2v3bTZszta2HerM//J/Scpb6sKUK4SaaftwJD8hMp+dqbfX0Tw4Gn64J4e+sFIDQuiLX/lR3iN2k28hmMmGZjkcj6ZM5+JhIJY1ZQvKtRcTclJVmWuCykZWUPV9Z49NsT+tu8ZZvD63N/+i2d/8A9v913vl265xrO17Co5wWuEVQFMVb8S/aOcV3UNcJ64/QX6dGQdx50rGyjXrKpmP+9oYj+PxuiHu1/i/Zwa5v4u53+/rTPFZDP0J13YaXCE59JFolqXsYBTYC6ywTjnTjvnninYowD2AugA8BYAXy7s9mUAb53xaoaxBDCfMYzyMb8xjPIwn1k6lKVZF5FOAFcBeBJAq3Pu7GuvMwBaSxzzQRHZISI7hgaHiu1iGBctL9tn1BsLw1gqvFy/GRwYKLaLYVy0vFyfGR0ZKbaLUSHMOs4rItUAvgPgY865EZ1dxDnnRKRoBQTn3BcAfAEAlnesdPc/8DMAQDbAVbhpx2bsPcqHbHU1T7lxE8OX2ShDF2MqVD2Z1FkxgJEJfhd59Kn9nn3oMEPr6ZzK+BCk7YTty6mQeTbLsHosyqwv4ZAqkFTF0E3nOhYpuuFVDNdvUcWfNqzjyuvmRlVcAkA4pNqnP2EVEvJlerEIZMUwFz5z6aWXurOZhgSUtQwNs0DEgQPs22G1WL19OcNs4TD9pKqK8q0V7ZTNAEB1givldfMC6nt9fz/957EnKTmprqZf3viq13p2MMBGbdl8hWfHq9im7Q+z8Njhg5TC1TcyPPrifkoSHt3JTDKNjf6sLdVNlAwM9PNzmuziueob6d+64NppVQipPsLPz5g/5sJvtlx+hcsUQvbBnCqS1cssLgd2ftOzq0KUuPQqecjoGJ/NNVXsZ1Oj/onNSycpoRzLchwKVPN53ljPzBaXrGaY/JJWjh0r6xhyD6Ue9Gzp57gYD7B9uSx96Og45QpdI3xWnBjgYHFikGNT9yg/FwDIJljAZtUrfs2zN2z9Ve5UxcKBKVX8Lyf0cXf2UWFj0bwxFz6zYeOlrqku/+xMxVVRJCW/nEyz3wbr+Ly/6lpmyVOqKxw+wGf2P//jv/uunU5TvnLr62/x7P4hSqrOnOHzu7mdhfPcFNs3AT7Lq5Yxg9lQD30yO6IyA6bYb1MZ+kBtNce+bZs4b0uc4LHHuv1+n0mpH1RWtoDK1lZbx/PWqLlhVYLjcMg/dS3KrN6sSz6XzncAfM05993C5m4RaS/8vh1AT6njDWOpYT5jGOVjfmMY5WE+szSYTTYYAfBFAHudc59Tv7oHwNkVA7cDuHvum2cYiw/zGcMoH/MbwygP85mlw2xkMK8C8G4AL4jIc4VtHwfwWQDfFJH3AzgG4B0znWhqKokDhw4AAFyAK2+DURYXGpni94cz/WzeQD9DfPEahnjGGaHBY4+xeBEAPPLYc54diTI80rqSq+wPHz3s2YEow+Gt7WvZjuMnPbuxniGXLVs2enbHSsoJWtopD1uzvtOz129gIaM2vbpfhUMCKqQD+LNw6AwWEtAxRv2dy2KPFcCc+QzA5ApBFSu75prrPLuxkWG2AweZMaW6lrKrVauYYWUyyTDgunUMfQNAJEqfS6UYptRh1ccef8iz77rrO579q2++zbO11Oboccp0EGQIPwtKyt70pjdw/5fob9t//hj3V8Vt+gZUUYwJZm7KX4NmvEr7E58hOVWgJqeKsunCSZdezrCrMS/Mqd+czXSUVfIxJPg3bb/qw55dU8fxoWGKg0pGZUsKBTg+pEboQwDQPs6QezDGvl9dR7+b6D3l2aeP38fttfStnaqQHyIM0UdV+Hyo96hnn+k64dlaiiKJTrZ7JTMnVV3O9myo4XMDAGqamIkmVt3m2Rk9BGVUsRjlQ36NRVHFhXFhmDOfcc4hVdB1ZLKqYJjK/pVW2VDSyjfiShKzfivnRbF6SoWP7D/gu95//juL2Y2OU6J485ve6NkTabajf5S+ISvY94LKN159NcfFzCglND3HODcMtNIHkjn6fU4leNJq5CvWUP5WFfdPmQ93URYzoqQ5NXU8RoLcHo/QR8PCc4UCyslKMONk3Tn3CErPAG8psd0wlizmM4ZRPuY3hlEe5jNLB6tgahiGYRiGYRgVyrxW/QiHw1jeng+vnepRieaF4cWJJEN/h48xDP/ivn7PHppgWObZ3SxSdOAQMzkAwJp1LKT00jEev3cXpQLJLI+JhJn9oa6R9pbNDK28+gZmcVm1mon2G5cxbNjc1uLZnWs7Pbu+QUl/VEje5dSfYVrSfQnp5ca6iIX+Mq2XEodL7GMsThxECqFnHY52lHds3Ei5y+luZlK58xv/5dnrN7DfrlzBMKBM+7r+/AtPefax4yx4dPll9KXTp3mNUVWcoq2VEoOcY18dGKKs5alnt3v2zmdZiGb9OhZYeeuvvcezf+udGzz723d9leccUIUmstpHgFGVpcL5syLwGFXAojpOGd7G1fycrrycRTW+ikdgLCKcQy5VyAbjKGuJxSlRicYpA0mn2TciEe4TVJKOtIqTBxoY3geAJjVeBFWmMwlS7hiKq+xh7fTBSJxZYmKODhkJsF83xvhcdynKetJp3lskzutmApQGnBzh+DKUpj/oAi0AgBTvL5vitUWH6JX8MlCi+FHOhp1FSS6Xw0RBjhJRco2IypaVc+xXuSylK1V1fIYuUwV+YioTioRUqjIA+3dRpvwf/85n+9g4+/fb3/52z06rTDQDQ7xenSpkNxWnv6VGaPdP0k8C/ZxX5sZVpj+n2qpqA0arOL9a0UFfBQAX5LUPvMQsNsOTvEZQ+W5aPU8CQSUXm8VM3N6sG4ZhGIZhGEaFYpN1wzAMwzAMw6hQ5lUGk4gnsO2KKwEAjz/KTEIuwPBbWEXcJpMMVe88xLD33Q++4Nm1dZTNLF/JbCsA8MTTXAHc28PsETWMjiCU5ArjyWFeo34FwyzX38Bw+KqVDHe2tbNAxIoVlMR0rGAhjYQK0fjXyDNWKCps9Atfn0T/iUplzpcStrH4ES8dTCBQXOIUAMOLsSj758NP7PDsIycpaXnLr3C1/f6DO31XO3TwqGevXUNpipYJDPQzi8tNr73Vs6+//pWeHY8zjtjUxNBhQwNDjf29fZ79wvPPenY2x35++3s+5Nm/c8cfeva3vnWnZ3ed4b0BwMgInycpVaAmPcXwar0K87Y1Up5WU0MJRCLOTAHG4iKTC2BgMv/sjQv/7rkQx5QMGFbPZJXcJcNnbk7pxHLqAR5w/uesA/u7fmRHw0oqEKVMpb6a/W9ySvVXJdWCsofH2e50iheYynKcSo2zrSMTPGdfUslmnBpDMv4MFOGQki9EVBYclc0iGOTxSumGXGTmbBZGZSMinuQlqMcX1SX19hqV8SunJi7jKcqrRI0byzo4LwKAjepcpw4d8uzv3cm54dgQq96/9e1v8+yGOo5zZ/oocUYz5WW6QFI4Sx+YmKAk5swQs7mEYqrPx9nPq5TjZ3JsDwBUK2nP5Wt4f3uPMvNT1zCzlVXVcvwLRfjMCM9VUSTDMAzDMAzDMOYfm6wbhmEYhmEYRoVik3XDMAzDMAzDqFDmVbMei0WxcWM+FVuNynw1MUVdX41Kb9W2glVBj3azGlUyS+2fG6M+as8DP/ddL6u0fU0q1VZtLY+pamG6uUyK313Wr2X6xY6VLGfV1kGd+iUbWBmupYX7h0K8rpYgipTQlp9TZm7fp5Y6cnatgq/7aG0r+8jqVawed+mmqzz7ZNc+z35+F9dyLG+jxg/wVyFtXkYN3sEDTNd44sRpz37/+9/n2TXV1OOlVBo4p3TjnR1s07t+8/c9+1t3fcmzn91NHf3n//Gznv2m17EI3y233OzZ9/zgu757OH7imGenVfHKnNJPJiJ8HgwNUIc4OspnQ3N9J4zFScYJelN5h0modLbBjKrAmKPOWmvWMzmtUw+o7arqLfwabVXwESGlc6+Ose8n1IIsUdrvCaUdT6qKjeksHX5KVdkdTdK3xlXW0inVBiUbRlo1zumHyDTdfSLOz2lZNcewqjD3y6m2ZpQ/SZxtEu+zsUqmi4lgIICaqvxzcWxMpTfMqjWFqop2KMJ5WChEO6CmlQFwHaC0+ucyVQmuN6xX+vf9u3Z59t333OvZPT1cX/ih32f14fYWVow/cobpE6dUDlHt9+EYFy2uXLHcs6OqDTGVzrc2wf0D4vf70VHq0XtPHvXs4y9yvJ1UFY1ra1Vl05xO3z2zr9hM0DAMwzAMwzAqFJusG4ZhGIZhGEaFMq8ymEgkjBUr8zKS61/JcPhPH2TatmUNTMkzPkzpi1MVBycnmXLrxHGmyImE/GG9pkaG5YPCdD2bN7Eq4oF9rNi49cprPPuyyygn6FjO0MWG9es9u7mZqYH80hdVpSpg34eMuUKFnVU4W4cpl7dSpvWB9zLt4U5VOXRskD6zacMrfFfoaKO069BhVgd+cPsDnl1fz7Depku3eHY6rUOEwaJ2VoX2V69kash3/dYHPTvw7S959kOPsN1dJz/v2R/9yP/w7Esv5XkAYOcOhlGzE9TBtLZQzhZWMpi+bsp61nQypNqonkXG4iKbA0aS+WfvWLb481hnLsyqkHlOyUMydC2k1AGTX4bZCwAAIABJREFUOX84PK3200/8SEDbbIdTMppUhtdLK8lYVl0j65Ps8KTanzIqkp7zyeT8lSPVL3w/JZPU1EwEeUMR9axR2R2RyarPQEtqTP2yKBERhIP5eUw0XKKCqerDetyJB7l/dSMlwdURSl16aymtAYCxMaYAdinOz9pVZfjhg5zrPXDfg549McIq1e/70Ps9e9NKjn9dPWr+GGAK7WVNnLfVJih30eW8RyeY0nH3rqc9+8XnWXUVAJ7Zyd/tfo7jTjLA+970qls8O6byhteqVOMZVZW4FDaTNAzDMAzDMIwKxSbrhmEYhmEYhlGhzKsMJhgMoq4+H3Z45asog5lSscYdDz7p2WOTDK2N5RhWGJtguC4S1hlfKFcBgJoqhmZGlaTmqSeZNSYRZyjvko2dnr1mLVcJX7qZYZnGRlZjDPoqShKd9UVLYvzZYAxjbhAVdw6q7BWdKyjZCoBhtud2UNIyoSRlAHDgAKUvu3c/p7ZzdfuNN77as7M5+uL4OFf+h0KszhZVldoCygUyaf7Q0sTMT7/xNoY10yq2//ij2z37rru/49mXX+aX8sRivJ5LMdTa2c7sNqfPdHt2OExZT1MjQ6RTKZVqw1hU5JxgvJANTCtWAvoZrEpw5lSWB6d8SFdmzKgwucv533PlcsXlNakcr5FVfppV44JWk2gJjj9zixpHnMoqU2JIES1DKzns+H+h7zWldD1TSvsikeIVtUV9NjbKLVYECOT/pqEwn6G6hGkqk1J2Ru3C8aW2ilKPOpX2LxLzTzeDbXzWLlMVrwf7WW1+7fq1nn08zRRHj2x/lPsPU7LyoQ9/wLNveOW1nj2lMq8MKQnNqWP7Pfvxxx/37Bf27OF1Xzqs9j/pu4dUkp9BLMo5qq5ivOuRRzy79xQlqK+9hfKYy7duxkzYm3XDMAzDMAzDqFBssm4YhmEYhmEYFcq8ymAALri97IpLvG1Btdo4PMVVwY8+xtW1g4MsXJJVIbqmJmZsqE74b2dkmFkeznQxlBGJ8Bp3vPc3PHvrVQxFbNxICUF1DeU0AWFbXYlV7yZ3MeaTEqW2kEvzu3giQqlHKsn+/+yzj/nO1bacK9SPHqckJqkKl8VUOPPISy+q7Vxx37SMWVVCDZSOSZBtCgpDn7ksfay9lZmY3n7bHZ7d10Ppyr59ez17KqkqwADI5tjWNR2qWJmSGHT38HmydhXlMWElbUtOkwgZi4ccgNTZDC/KKaJK7qK6oi+BiZafaFlKQJ9IZX8B/NlgdH2TgJKKOCVfcVqbo7JqSIkxRWd3yamBp9QYdD5v4Zw6KqvuW2fK8WXN8UmBlG3j36LEOedJktNKmyWqs+vtyZSqwqX+5pLh+FKt5C3NNX6ZciJG2ciyapWtpZ7SmaefYLaVkMqYonONPfPsC579qU/9rWe/733v9OymZmYG/PGP7uP5d7AAX3c3xxfd/6MJjp3VDRxPAGDFSkqkr9h6tWcnVVHAH//oJ559cu9uz/72GUpquk7fiJmwN+uGYRiGYRiGUaHYZN0wDMMwDMMwKpR5lcEIFxsjplaVR1TliJY2hiuqahiK6Igxef3ICMPcVXGGGxrr/bezrJ4SmRXtLPZy7bVXePavvvWNnr1hPYslRaK6kIQrYpncxagMnDAomFPL0EOqAExzIwsCRVSmlj27H/KdSwI81+Bgn2cnqukP41P9nv3igSc8u62FIcG6eoY8dQEnUY8cXaAmoLJJaJnb2g767W/exiwx//rFf/Dso8cO+e6hKshrdLQy48Bzh7gSP6mkB61KSheNMpNBx0o+D4xFhqNERGdLyio5SUC9qxJX4r2VKqiUVXba+Z/9elwIiA7SaxkN+1xOHaH7vn+s0X6jZTA5ZasrqSYJ/EWbiuGma2h0cSZ1vTF14rQ6JKSyc6Qd7Vxg5msblUfOOSSnzmZ7UX0vqzsZ+2pVFedkU1OUqEyOUwaTzbJfTKaZmQsAmqTBsxtVsaCmekqk6+q53VeQCyqTU5T+dvilY579mb/+O+4DZrHp6xnw7GhCyW9aKHGpV1n/1q5je1Z2rvTdQ8cqFmFKVPPzCKqiUpkoP78dj7EA6IkzzHrz4H3MUFiKGd+si0hMRJ4SkV0iskdE/rKwfY2IPCkih0TkGyJSqkyaYSw5zG8MozzMZwyjPMxnlg6zkcFMAbjZOXclgK0A3igi1wP4awB/55xbD2AQwPvPcQ7DWGqY3xhGeZjPGEZ5mM8sEWaUwbh8rGys8GO48M8BuBnAbxW2fxnAJwD86znPBYb/dOGS1maGHzrXM5R+9chlnv3II8+w0TkmwW9rZOhh81ZmsgCAtWsZsli5nNkp1qzh9pZ2XjuspDk+iYsOkYrJ/I2ZmUu/mfFaqq/mVP8Mq2IW42OUjgWDzHiyfj2zHgFAWoW2R0fHPLu+ieHIdG5S7cNrrF7JcyXiXNEfCPCljoguJKbD/JQIBJVUQVTGiauvvM6zX/+6N3j2E0/8zHcPjRFmGRhQWaS6h1kMo7aO7WttYjg2XkW7ra0Txvwxpz6THod05TNJ9PQyK5iIznIBZRcvZFdKcpLz5aMAXE6PF7pYEO2sKKmIY3/3ZYkpkd7Ft7VUCphZcK7zBNTPShGDSSVrCQT5i0gw6tnhDkrGxJbCzRtzOj9zzsv2klZSxEhUyRW1dDGopczsFwMDlJkMKMlydFq2vkk1Jo3GBj27SUk2wzGOF1tvuMaz9x1hdr8VSpoSDPHZf+gQC/k50PdWrmEBvlVrWHRp/SZmIVvdye2NzZw7uoy/UN7pky95dtcJZnepV9LKV163zbObllE288yzLLx0aC+LM1F86mdWXiUiQRF5DkAPgPsBHAYw5JxXAu4kgI4Sx35QRHaIyI6+3t5iuxjGRcn5+o32maGhoem/NoyLlrkaa8ZHh4vtYhgXHXPlMyPD5jOVzKwm6865rHNuK4AVAK4FcOkMh+hjv+Cc2+ac29bU3DzzAYZxkXC+fqN9pr6+fuYDDOMiYa7GmqppOZ0N42Jlrnymts58ppIpKxuMc25IRB4EcAOAehEJFb69rQBw6txHF85R+D8cZgitraXNs6NhhlNqGhl6r61lR5pSbxubljHc0LRyue9al2xQ4Y6VKzxbh+idCuvosKAO9+hiEXC+JfeGMSNz4TfnPL8KbosKqQdVmPLYMYbr+vq4Cn2l8gsAOPxSl2enUgz5RSOUslQlKD1bt4bh7+XtnZ4di2oZTAl52SzQ96ZzTNz06td4dsj5ixftff55zz545Khnp1L04xVred9Nyyh9aV3BZ0ZbG59Lxvzycn2mriqMN23L//0GBxlKF11cSGdemUW/1H33F4sXaRmMktTo7eKK7TJNm4ISv1DXLtHU0uqYUr+Q0j+pk4nvZpWMKEyJz1olLQ140wobIOeTl+sz+WwwebnIVEpl+lEFvyIR+lIgyDEhnc6ofTi3C6gULsGQvz9MTvKY1ASlzWklfTw9yLEKQfa3qmXM1nLgwA7PXt1BKXTbCr4cXq6K47W3M8jQoM4TirLdw0oyuf8A5TTH1HgCAAdfpJRlVScl3Fu3cYycnKDc56qrKO1uaaUk5ufqcz303P0oxmyywTSLSH3BjgN4HYC9AB4E8LbCbrcDuHumcxnGUsH8xjDKw3zGMMrDfGbpMJs36+0Aviz5lTIBAN90zv1ARF4EcKeIfBLAswC+eAHbaRiLDfMbwygP8xnDKA/zmSWClFp9fkEuJtILYBylF7xerDShcu55tXPOFg8sEgo+cwyV1Yfmi0q6Z/ObRYSNNRWB+cwiwsaairnnon4zr5N1ABCRHc65bTPvefGwFO/ZmFuWYh9aivdszB1Lsf8sxXs25pal2IcWwz1bQlTDMAzDMAzDqFBssm4YhmEYhmEYFcpCTNa/sADXXGiW4j0bc8tS7ENL8Z6NuWMp9p+leM/G3LIU+1DF3/O8a9YNwzAMwzAMw5gdJoMxDMMwDMMwjArFJuuGYRiGYRiGUaHM62RdRN4oIvtF5JCI/Nl8Xnu+EJGVIvKgiLwoIntE5KOF7Y0icr+IHCz83zDTuQzDfMZ8xigf8xvzG6M8zGcq22fmTbNeqLB1APlyuCcBPA3gnc65F+elAfOEiLQDaHfOPSMiNQB2AngrgDsADDjnPltwhAbn3J8uYFONCsd8xnzGKB/zG/MbozzMZyrfZ+bzzfq1AA45544451IA7gTwlnm8/rzgnDvtnHumYI8C2AugA/l7/XJhty8j30EM41yYz5jPGOVjfmN+Y5SH+UyF+8x8TtY7AJxQP58sbLtoEZFOAFcBeBJAq3PudOFXZwC0LlCzjMWD+Yz5jFE+5jfmN0Z5mM9UuM/YAtMLhIhUA/gOgI8550b071xee2Q5Mw1DYT5jGOVjfmMY5bEYfWY+J+unAKxUP68obLvoEJEw8h3ha8657xY2dxf0Umd1Uz0L1T5j0WA+Yz5jlI/5jfmNUR7mMxXuM/M5WX8awAYRWSMiEQC/CeCeebz+vCAiAuCLAPY65z6nfnUPgNsL9u0A7p7vthmLDvMZ8xmjfMxvzG+M8jCfqXCfmdcKpiLyywA+DyAI4D+cc5+at4vPEyJyI4CHAbwAIFfY/HHkdVHfBLAKwDEA73DODSxII41Fg/mM+YxRPuY35jdGeZjPVLbPzOtk3TAMwzAMwzCM2WMLTA3DMAzDMAyjQrHJumEYhmEYhmFUKDZZNwzDMAzDMIwKxSbrhmEYhmEYhlGh2GTdMAzDMAzDMCoUm6wbhmEYhmEYRoVik3XDMAzDMAzDqFBssm4YhmEYhmEYFYpN1g3DMAzDMAyjQrHJumEYhmEYhmFUKDZZNwzDMAzDMIwKxSbrhmEYhmEYhlGhXNSTdRHZLiK/M9fHisgdIvLIy2udYcw/F8onZnHsHhG56XyOLRx/VERuPd/jDWM+uZB+JiKfFJE+ETlz/i00jMpiIcYmEXEisr7E735bRO47n/ZcCBbNZN0Ga8Pws5h8wjm3xTm3faHbYRjlUkl+JiKrAPwRgM3OubaFbo9hFKOSfOZ8cc59zTn3+oVux1kWzWT9YkVEQgvdBsNYSMwHDGPWrALQ75zrKfZL8yXDuDhZ1JN1EWkQkR+ISK+IDBbsFdN2WyciT4nIiIjcLSKN6vjrReQxERkSkV3lhulF5P8UrvuSiLxJbV8uIveIyICIHBKRD6jffUJEvi0iXxWREQB3iMi1IrKj0MZuEfncXLXRWFoslE+IyDoR+ZmI9BdC9F8TkXr1e+9NSwkfOLvtGyIyKiLPiMiVJa51rYg8XmjjaRH5JxGJqN87Efk9ETlY2OefRUTU798nInsLn89PRGT1rD5cwyiwEH5W8J/7ASwXkTER+ZKIdBb6+/tF5DiAnxX2/TXJS8+GJC8R2KTOc7WIPFvws28VfO6Tc/LBGEYJFnBsWi8iPxeR4cLY9I1pu9xabKyQaXLngp99RESOFM7ztyIyb3PoRT1ZR779/wlgNfJvHCYB/NO0fd4D4H0A2gFkAPwDAIhIB4AfAvgkgEYAfwzgOyLSPP0iIrKq8IdcpTZfB2A/gCYAfwPgi2pCcCeAkwCWA3gbgE+LyM3q2LcA+DaAegBfA/D3AP7eOVcLYB2Ab5bbRsMosFA+IQA+g3yf3wRgJYBPnKOd033g7LZvFa79XwDuEpFwkWOzAP478r53A4BbAHx42j5vBnANgCsAvAPAGwrtfguAjwO4DUAzgIcBfP0c7TSMYsy7nznnHgDwJgBdzrlq59wdatfXIu93bxCRS5Dv0x9Dvo/fC+D7IhIpfKn9HoAvFa79dQC//vI+CsOYFQs1Nv0VgPsANABYAeAfpx1SdKwowa8D2AbgauTHq/fNdNNzhnNuUfwDcBTArTPssxXAoPp5O4DPqp83A0gBCAL4UwBfmXb8TwDcro79nRLXuQPAIfVzAoAD0Ib8JCULoEb9/jMAvlSwPwHgoWnnewjAXwJomrb9nG20f0v7XyX5RJHrvhXAs8XaWsIHPgHgCfVzAMBpAK+e6V6Rn5R8T/3sANyofv4mgD8r2D8C8P5p15kAsHqh/572rzL/VZKfAbgJwEn1c2ehv69V2/4cwDfVzwEApwrHvqZgi/r9IwA+udCfs/27eP5VmM/8fwC+AGBFkd+da6y4A8Aj0/Z9o/r5wwB+Ol+f6aJ+sy4iCRH5NxE5VginPwSgXkSCarcTyj4GIIz8G7nVAN5e+AY2JCJDAG5E/hvdbPBW4jvnJgpmNfJvFgecc6PTrttRok0A8H4AlwDYJyJPi8ibC9tfbhuNJcZC+YSItIrInSJyqnDdrxbOWYrpPuDb5pzLgdGp6de6pBBCPVO41qeLXEtnyphA3jeB/D3+vbq/AeSjAh0wjFmywGNPMfS1lheuB8DzpRPI9/HlAE65wmyjyLGGcUFYQJ/5n8g/458qSMOmvw0vNVYUY3r7fmF8ulAs9sUofwRgI4DrnHNnRGQrgGeR/8OcZaWyVwFIA+hD/kP/inPuA5hbugA0ikiNmrCvQv5txln0gxLOuYMA3lnQP90G4NsisuwCttG4eFkon/g08v36cufcgIi8Fb8Y4tS4Itu8dhV8YQXy/jSdf0X+nt7pnBsVkY8hLzebDScAfMo597UZ9zSM0lTa2KP9qQvA/8/em4fJdVZ3/t9TW++rWmq1WrslS17wKttsBgdjlgAhQ4AkDImZQEiYYULyZEiYzC8PZIYkZCaTZCYkMCzBDoEYs9o4BmPAYION8W5rsSRL1q6W1Oq9u7q2+/7+qOr3fG+prrpLanVXd5/P8+jRqVvvvfe91e+571t1vvecl0y9KMkz16A4BzkAvSIitGBfA2DfLPbFMCoxLz7jnOsD8NsAICKvBPB9EXnQOffCOVzDGgA7qH+V5qcLwkL7ZT0pIvVT/1DUIKUBDJUeRPhohX3eLSKXikgjgP8O4GvOuQKKv/y9RUReLyLx0jFvkjMfeKgK59xhAA8D+MvSMa9A8Zfzf4naR0TeLSLLS7+ADJU2Bxeqj8aiolZ8ogXAGIDhkr7ww+dwLdeKyNukmNHi9wFkAPws4lwjAMZEZCuAD1Rxjk8D+K8ichkAiEibiLzjHPpqLC1qxc9mwp0A3iQiN0vxmY8/RNGXHgbwCIoyzQ+KSEKKz3BcP0vnNQymJnxGRN5B7QZR/MIanOM1fViKD8quAfAhAOUPq14wFtpi/V4U/9hT/9oBNKD4zetnAL5bYZ8vovgwTR+AegC/B/hF9dTDZqdQ/Ob2YVT4TKT4wMKYhB8wPRu/jqKW8BiKD/N81BUfDoriDQB2iMgYig+b/ppzLl1NH40lS634xJ+h+NDNMIoPAn3jHK7lLgC/iuIN9TcAvM05l6vQ7r8AeBeAUQCfRRU3TOfcNwH8FYA7SqHY7Sg+tGcYZ6NW/GxanHO7AbwbxQfp+gG8BcBbnHNZ51wWxejte1H8YejdAO5BcTFvGLNJrfjMdQAeLa2v7gbwIefc/nO8prsAPAHgaRTnuc+f43GqRsLSNcMwjLlHRD4GYJNz7t3z3RfDWEqIyKMAPu2c+8J898UwahURcQA2n6N85ryxX2gNwzAMY4kgIq8WkZUlGcytKKasq/Qrp2EYNcJCf8DUMAzDMIyZswVFXXsTgP0A3u6cOz6/XTIM42yclwxGRN6AosY6DuBzzrlPzFbHDGOxYn5jGNVhPmMY1WN+s3g458V6KTfmHgC3oJgP+TEUU6ntnL3uGcbiwvzGMKrDfMYwqsf8ZnFxPjKY61Gs4rkfAETkDhSf1o0cCF1dy9y69aUMOk5TaxbTwBYpFPTLQyajD6g3NDR4eyI94e2hwdPezuXCiSP4uImEVi1vbNKc981kJ5OpqK4vGg4cOID+/n6ZvqVxgajKbxoaU661rfGM7RJKTesqmoj4K0vIDjcqKwAQcYCo4aPbi1lIz06MjuPozOGz8jH1nYCOX34NoSuUyvtLqEnlNjHRR3pO9A32O+fOKG1tzAnnMNd0ufXr189N7wDkcllvj44M6faszmHNLa3ebmpWO9JRa4YZ3FQqYHPNvFOV33S0tbre7hUAZvYXdxH2fOJm0JPQ9fBE4CrPR2fZG3zlcrZmfjOve+kodLqde16oONecz2K9F+FqTkcA3HBG50TeD+D9ALB27Wo88uj3Sr3TUydpIT06MuntfXs1u86ll/saD3hm+xPe/uY3NX35yePh/PTxuC6+u1ZogcKrrn2pt298+au83d2lxagkphO1RC5OFg5Ti6frrrOUuvPMtH7DPtPS2oB3vefG4hvk0ImE+k+Qz+u+AS02Y1QYjoZwjF4kuQ2AIAgq2ryIjSfUrxwveum4/MVZQgt3PU5dXZ2383QNBTpmENfrzGQmydbFUSxe9py86D78JT1H50jE49RG2+ep39y/v/mLr/qKkMaccw5zzVo8/vjjc9M7AMePHvL2A9+/29t9RzRxxCtf9TpvX//K1+rOwtMwj+WoL7zVzkfnMn8FETbfL85+3G3btp3DeY1ZpKq5pmfFctz5D/8LQPkPG5X/znmaj3IRP+zwOqpcxRG1aA79DDWT49L4zAf5Ss0jf5zh4qmO1qRBEHHeMz4Lmhd5jo1wjTj1O05zUKFQ8PYVr3lLxbnmgj9g6pz7DIDPAMC1265yU58az9/8sRRoQv3k3/29t6+55lJv73n6h95+8TlduPf2dIfOPZbWyf2hRx/y9v3fvcvbP3rZTd7+0/+mcq6elbpw50XLQl24W4rOhQP7THdPm5ta7IZ+7RB9VcjrAjMgp+dFKP/5uU1ewgtd3ocjW/xLNlJpPS4vrMlPeLGepAk+FdPFc5zubnyzUguIJ3TfurpkRTsohBc1+YweoZ5uiI5ulHydPDvkyb+jbrhGbcJ+s23bNkfbfZuo+3fo/shRG/Kz4eEBb+/bvye0/22f/6y3d+140ttN9Xq+iUkdl5dedZ22aVnmbfahGJ3bRUbSKm8PRbZc5aRvEgvPCUFA/l7QeTiZ1C+toc8yVnnhvlDnyKUI+8xlWza5qXtkyB8iFtJsR6UVjNE9NwgKofd4QRz6lZkbRfz6HDoWnTyW5DmPIrERa7hQdDfSrWa2dgrNQpFB6VjFNvkZnOJ8UjceRbg07OrSNsMwojG/MYzqMJ8xjOoxv1lEnM9i/TEAm0Vkg4ikAPwaitWhDMOIxvzGMKrDfMYwqsf8ZhFxzjIY51xeRD4I4D4UhWz/5JzbcbZ9BIL4VBg8FH7Q7wwdnSu8fdllKn35wt//nbe39Gj4rUk0RBfLhS/n4rUqZVndow+l7jusDwA9/uB93v5kh577Qx/8I28vX175ubKFFO5bQF1d1FTrNy5wyGSKspPQg5QUBmQ5idD372Syst6bH4YrlIXfJMsPZbOGT8Pikxl6kJsi4SxhY314c4IekA3p6DmkrpuTJF0JaQ2pn6zHd2VSnliOdISusga/MaUPrHP4Mie5iu2N+eNc5powEdKX0DlIfhJTe/szKrP8zvdUPnl67GToWPsP7fV2ql6TFvSs1R82Dx3p8/adX/26t19x0y3e3rLxoiquoPyN0EgmO0m2XnU6fRrMQw9+z9t9x/u9/ZLLVLJz9dUqeXas6zXNWM1R9VzjgExJUhglHePtLBVxscpthOap8vtplAwm6snLSP06eL7QuaBA8kiWWbLTsNSMJW9RmvWzMgO5TIz6wfN5oUwiVInz0qw75+4FcO/5HMMwlhrmN4ZRHeYzhlE95jeLh/ORwRiGYRiGYRiGcQG54Nlgool6rphCGtBw/aom/V7R2lDv7YZlGs7uPz0eOsOhx055+9Uvv9jbHRc1ebv+RQ1N3vsNTQO5bu16b//2b31A+1SW6s4wLiwOUpKgxGP0pHtBw9wcQCtwNgl6xLxQ4LC47nH2yB2FC+lrfYrSKWbpuJx+kX8FYJVKPMG+TiFBznxB0dIYpdNKRGRq4QwAABAnbQ+fjTPUcP5rRzIiTv1l0rHFQuU0D4EjKRkNqN3PP+vtf/3y572dy+uYycdYWgIkncoxu5Z3ajvKSNZ/XOeab9/5JW8PD6nkpPmd7/B2fUqPyf0bG1MZ5+CgynEGhnS+S6Y0vWp9veZ0P0opJvtPhzPEvfCCXvfAKb3Wg/s0+9/mi1Sa2tyu1xnMIOOOUds4ALmS/COcDKayPMSxhIQztYSkhzPLxh7KPx7Kd17ewwr7cp8i0gwGoYxIlaU1nB3JzUB+U04QcdxQpqSoz+ACZ4MxDMMwDMMwDOMCYot1wzAMwzAMw6hR5lwGMxUuiS5nq+8cOXrE2wMTGpZrmlDpy6ruNj2OaOgPAJ7fd9zbO3fqsa69Sp+4f8XVGtYbflCf/P/GHbd5+6U3vNLbV7zkKu1pRPny2i8fbSwUBECqVKEzRqHwcBEhF96hBIftcyybIblKsrwoUlJ9KJOdRCWScQ3PB05lYVmS3TQ3t3i7kcL5uaxK2/j47DEcOW2oV8lanIs8sS6nXJpGn1OeMgJkqXhUYWJMm9dR1hs+jGW4WBSEiqmQ9EXojcce16J5933/Hm8fOaIZU+KUVSUzqVIUAEgFOgYbGrXdWJ7GeLOeO+Z0+/ZnfuLtIZKmsCSrqUHH6OkTOq+d6lc757RYWapB58WWtpXafmjQ242tYb/p7tAsNqOjKqnZN67HfWr7D7x946ve5m3HZYet/t6CxDlXMRtMNFRoiKUoYNnMzDJqcfGkaglCGWq48nzl6qmhLEahyt6Fyu1nKIPhzGqR8p3pk75EYr+sG4ZhGIZhGEaNYot1wzAMwzAMw6hR5lwGM/XtgCMR/FQxf3/IxzR8/uTBYW8HFG/IjGo4cSgdDtun05yAXmls0tB6S5s+0X5Jb4+3H9n1grfv+tZXtc0ll3s7Hgrd0BO/Fj03ZgkRza4QBBymoyfuSerBnhSn4kKFHGU54TaJcCicpR+hgkRkJ0VvG3V1mpmpnmRoDfUqVWOVSo6kL5zhgrNK72i6AAAgAElEQVQGxCKKcHCaGC54EZQXlIizXIakakmSETkq4MTFM2YpZGnUEJz1Ja737OeeVNnjF2//rLcTddpmbFglIEcO7PH2yh7NsAIA2UmVVdVPqAymtVclKOk4+Wla5WB1jSoZO3RU5ScZktC0NasTDRzXDDAdHR3elpT6YqxeC5HVN+t8t6FbC/+1dup5AWDkNGWl6dBzpxL6edzzQ50L05Sp6eXX3qT7NumcaiwcAueQLRTvi1FFgfjezNlTBJWLz0VlRSl/FZxFGD0dXFQzYCEjZ4aJ0mbxXIPK885MZTB5lttFXQMfd0ZHVeyXdcMwDMMwDMOoUWyxbhiGYRiGYRg1ytwXRZr67T8y0qHBgW3XXe/tr3RoEYm+Ac1ycXpE7bGMhrYBIMlyGbIdyWtOnhjwdgc9Db+6Sds8/cC/eXvHL73Z21dd+VJvc9io6qIQMwyzmL5m6VFwDuO5Ykg6TgXDuEBQQ0rD2V0dq7w9NKyZH3JpLcjioFlREnGVqxTR8LyI+lMioRKXkASloG14GI+OqSwgkdA34qHaFHoNcX6KP15PtvavAC7sxDHH8G8OQWHC23mSu3CIlPfIpbnAlB63saEZxsKnkB/19mM/e9Db3/2373h7fETngYDi2eODR73dvVy3T4xrFhYAaGxQ2Ulzg45ZyeoU296kvol6HYv1KW2fy6vfNLUv1zb1eu5kSqUvjVQgMC8qFS3QWI9ThqfxET1++byTnVQ/qGtU6czkuN4T0gN6T/nWt/7Z24df2O3tt775XcX+5HQ/o/ZxAHKlLGORGVNY+strKtA8ELEWOuvyhbIJSYQkJmpdFSVZmVm2Ps5cU3FzKLvN2dZqQUhSUxmWr4YPNf3azn5ZNwzDMAzDMIwaxRbrhmEYhmEYhlGjzL0MpsKv/UIbC4GGzn7lV7Towt7nt3v703/9f70dZDSskHHhgzdSmGF4SJ/qHxvVUGAmo+dLNehT/B1tGtY8NaAhz/vu+Cdv93Sv9nb3yjXeDoeQOBRT+btRcJb4UNS3KQ6nhMNDJpVZbEzlsuDwIA+xVIOGrLdec623Xziw39sHt6sMJqDwdKxMOpZIqtTGOZWC5fMcptRweRCVlYa3i/pVKqlhe0dh1HjovHQ/yKrfxhMsg+EiLEkwOcoOk6HCMoHjkKp6Voz6B8rAkTDZ2YIlCApIjxdlId+9506//YHv3eVtLrLVVKfj7/DxY3qggvpKI0kjY1ToCwDaO1SKVl+vspNjxzW7S7JZx36SCnFl0yrlTNbruExnVb4zNK7SrvY2lcGMUHalhkY9b1yoWFlW/aGRioxlx/W8ACD5EW/nRlXukkK7txNx8om49u97993h7c7WYvuxMZXlGAsA51Ao3TtDEpJQlhTeISrrixK6g55FQiIRWWOE108R+0Znbpm+3+F5JCIjzdkyw0Ts7iI6GynTMRmMYRiGYRiGYSxcbLFuGIZhGIZhGDVKbWSD4VACxfcbG7TwxC23vM7bX/r057w9OKihtute9rLQqYb6NQR5YuCwt48e0zBnDByi1+8u8biGFFtTGn7f/aP7vP3tTi148a7/+GHtd5P2u0ChjokhLTpx+sheb586/KK3c+nwE/RtK3u9ve7yq73d3NrlbZYfxOKVn3Q2FiYCQSJeHKNSqBw2G+vTcXX0mV3eLjgdtzKpY4SlLhMUageAemgGlGSykd7hc2v4vJDV8ZpIJKmNniOWYMmA3nICktOw/I3HczJUOEnbuEC3xySc0SYOPV9KVHrQ1L7M2y2dmmnD5VRqc+KYFkPLBSy7MRYS6YlxPP3kowCAb31VZTDt9To2xkd17OcCHQMIuGBRm7cLJJfq7AqPuVSDjsehUZ2TEpTZKD2h8stYncpRJjK6fXmHnk9yVOwlpvPRWEb9r4my0AQ0XmOUISmbo3EcUdAMAJJx9fH6dpLsSLe3Tw2otC5Wp59ffb2e4/nnnwIATE6qdMeofRwiZDCc0SUkv+X1BUtLmLPJO3jhN5N9orLBsM0Hmsn6JzJvS8UTuPL2M9g9vL3aHRT7Zd0wDMMwDMMwahRbrBuGYRiGYRhGjWKLdcMwDMMwDMOoUWoidWPobamsuV6+XHVzq3pUb5rLq1bqfb/z/tCx9jyv+t0v/c3/9PaxA6pZb6JUVsuXa0qs+jrVNk5OqJ5xZFj1hT+9W9NVBeOqU9xy2RXav7Ehbx/Z/ay3j7+o2th8TtPLtVIaPgA4PaS6v45Nl3j7zb/1u97eTJVUw1jquYWOiCCVKupH8/Q8Ayvclsd1zPRkVWuarVP9+ZGMbp8kTW6uTlO/AUCmQM9tpFSjG1cJOhKUFi4I9BaSSFAjvoa86lldVvW2ElPfZX19np5biaeominp/fJUZZJ1uwDQ1dzj7bFB9d3coPZv3abN3l67Se8t933vtLdPnDpY8XqM2qdQKGCkpEkfHdYxcOqgpjBtaNbxnYPe15d16vjJBqohH05TWs9M+HeudKD36eY23aezXdMeTlKW1MZWTfXY2qptkinyIR7jCb2XD9Cc0H9a+72qS4/J1UiT5Mcxml/zOU3pCABZSuN6+tRJb48PUMXjlKZ37Fmn/rtsmT6ndfDQEQBAJmsVTBcUzqFQyE2ZnliMUylWTqsIqaxZF1Tet3gSfkHjnvIehpIpcj7EUMrEULnRim3O5/G96NSQ53Qwb4Y/jVlI3Sgi/yQiJ0VkO23rFJH7RWRv6f+Osx3DMJYa5jeGUR3mM4ZRPeY3S4OZyGBuA/CGsm0fAfAD59xmAD8ovTYMQ7kN5jeGUQ23wXzGMKrlNpjfLHqmlcE45x4UkfVlm98K4KaSfTuAHwH44+lP53wY4YwUONRG0TAdy2Bal2uYMnNIw5qr160NHWnDhvXe/skd/+ztVcs0TLnlcm0zOKghvv0HTnh7bIIqzKU05B6nMOJT933L2/se/K62p+hOJkup6goU6qFqeAPZcDjpxHHtx9BOlfW8uF9lNL/zP/7a25ddpZKYQkHDmjHfD0vnOBfMlt84B+RzxTEhLD/J69+2YZmmJOy8SOUdaFJ5TMeQyjv29akcKxELh6o5lWmSpGCxuLbjlHKNDRp650gep1+MU7qvREL3zdD2fJ4qmNKBMgWqLlrQ21Vb6wpvr1+t8jAASKb1WHVjWolxfExlDDsefsrbg8N6rKFhla1lsmGJkHFhmc25prmlFa+48RYAQDzQtIf/8L//Ss+X1DHd2a5zh6NxlicJV31KjyPxMhkMpV+Mk95leETnp+YO9dOBPvXHmGj7zl5NB5yhVIx1MUqr2Kj9S4/rvmNUdbQurm1amvVH1aNHj3g7nwmP71z2qLcnyA8KY9qPZat0zguoOvDIEMsYimktnbNH4uaCWZtrADiXLx2Tjy8V7VB10VjUuqLyvuF3yvbgSu8sQWEZTWS6Rj4+y2miKodWPGRIshPat2z9FK7Qyvb06yzeN7iAFUy7nXPHS3YfgO6zNTYMA4D5jWFUi/mMYVSP+c0i47y/+rri15TIrxEi8n4ReVxEHj916nRUM8NYUpzNb9hn0mkrzGMYQHVzTX+/zTWGAcx8rhkZHavUxKgRzjUbzAkR6XHOHReRHgAnoxo65z4D4DMAsG3bVW4qBBFQxauYVL7/soyjc1mnt2+48VXeTrZoGL539erQ/j0rNbx99cuu8Xb+tFZhW7V6lbdHx1TuMjSiA7eJztHWopXrgoKGBDtaVR4Ty5O0gOQAmZyGOiZz2maQJAoDWQ2bAkA8rjIAF9M/1zM//5m3P/vxP/X2n/z97d7uXElfpl1UhTFjDpmR37DPLO9udYVS5dI4h/Wogmf9SpWFrbz+em8nG3XcXtGk43P/3Xra1obwuFi3+jLdnzJTHDz8nLczGa1cmKKKuQXyh1Cokao4xihzTT6m2zOUSSZG47yQGfd2Z6fK1152wy94u6d7U+gacmO6T65Pqxgf37/P29+8/x5vP/rCQ97uWKn9SNWbz9QA5zjXbHPNLcUMJde+VKWBXatV7nKyTyUh6XHKkpLV7DGO1B0pkpUhCGc+Gu5XScmh/QPeHhvX+/yylbp/c536YyGv5xsYVtljPqvtA6fzUftyqhRMUpTTg1rJeFmHZpg5duS4t8dpXnO5cIXRlk7tR5beSraoP3WsUJ8dGlI/HTilfbryqosBAKnkwzDmjarnmos2rnXOlSqYUpvAVZZohIrQR2RkCWePKTs3HYF/NXahKqm0verbMUtwKstgwsqViKwvoSQ04YsItaMsZhFL2vC+bJd/OBU411/W7wZwa8m+FcBd53gcw1hKmN8YRnWYzxhG9ZjfLDJmkrrxXwE8AmCLiBwRkfcC+ASAW0RkL4DXll4bhlHC/MYwqsN8xjCqx/xmaTCTbDC/HvHWzedz4qinaENP4VKI4dv3aLaVAwf3evvaa670dmODSlQAIEvZHHJknzqqYcq9e/QJ+N27Dnk7M6kxl+6VJH0JdHt7uz5lf8N1L/H26IBGnHbvUsnNeEZji2OTGh4dGqOiS1mqnAGgs5WuicIsTjRTx1OP/MTb377na97+zfd90NtWHmlumS2/icdiaG4uFjdylH1oNK3ZGppJ7rKx9yJvi2jIuv1KDYu3OA1ZN7WECwqtX6symBcP7Pb2JGVEcq0qgxEakxkqeFSgbDXD0DE8Jlqoae0mLR42SDKEwZMqBetdoce/4frrvL1xvWaASSZVHgMAdS0qUcgcU6nD1+5S33j4mUe9vfJi3b8d6tOFcM0Y4wIz+3NNcewkSM7Vvlwzshzre9HbyZROhUFef8OKJdSHhgf1+ZGTx1VeBQDj45pJLFWn+7fUaQaZFGc8onlkfHycbJ0LJoa1TUu7+kdDQv29kKXsLAWdX6Rdzzs6osdsb9Kxnh5VPwYAR8X5Opernza36fVMTpKfnlZpak+Pzn9veMMvAQC++nWds40Lx2z6TTClNeE1WSwkeNHzhlKyRBRFCq3nzniXjkVymYjtYfkKFc6LkV9RPwokQY5KznJGoaYSuZz6elRRqKneeiskg4nQ7LjKL5xML3Kx3EqGYRiGYRiGUaPYYt0wDMMwDMMwapRzzQZzHhTDA6FE+1T8KBnT8N0DP3nQ2//pP3/I20eoENKqHg3FjQ4dC53pqstVIvPiXpWjtFImjWe3ayh0/37dv7lZw5/HjqqsJZ3WUOHll2pIMUFFKMbHVQ7Qf1rDo6PD+iT+yKRe88CohlxGy2Lvy9o1VBJQ4YEJkkSwPOK227/o7de+6Ve8vW7VVMYQE8QsJARAshQuC5L690+QeuXkoPrDkaMH9I28yl0G+lU2s7FnI50g/H09ILnL2uW93u590296O6kuiniM9+fMMBoG3HFMJQMjJN/qXK6ZmA71aUGXY+3q070d6octrZr1JiUqrWkoG9LDp9Rfv3Pvd9T+yY+93datx926RY8b49ouznQwCxeHIChKDUdHdPxt3azZYPbs/Km340m9fzc26th44UWdE06c0vt3IRP2m4Z63SdF47GNChglQNmP0urLdZQhaXRcpSnNKfXfhpiOxfEBlbvkMrq9sVl9bpJknxPj2n6kf5j6FtYGLO9Rn5J6vcEMj+kFDfR1ebt7hUrm3vvbt3r7uuuuLfa/mbLnGLWPc5DS+oPlJAEVcGRJCMtP4rQ2SdGfPUmSsEQ+vNwsjOs+aZJguTinXyEJFmXZ45HLGfMa6yhTEi1vuSBlntdOpFZxdD2pOr2IQpqyQ7lwKuXJpPp0EnoNdQEVEaTOcu2oGEtoEtMvxe2XdcMwDMMwDMOoUWyxbhiGYRiGYRg1ytzKYJzz4RWWwcQp7DE0qAUcPvHn/8PbbW0aGn/Vv3+1t5995llvP3Tfd0Ony+7b4e3mBBUnoifuTx3VEGGBnuYdH6MiF/3ahpPXx/cf9HZ6QsOL48Pa/vRp3T5E8pghksH0T1KIpiykn6DXBQrL5wO1hSQ4O7bv8vb2Z/WzWbdKJQ3GwsE5h1ymGF7L5PVvHk+oBGuMxtLB4xq237rpUm/HRjUD0oFDmuUlGdOwIQDE4xoKTCbryFbtSzyl3/HrKPzfUK+hw4aGVm+v6dRzpPP0BHxOfXJ9o4bgV2/WIkctlA0pltf2eQpNDo+qjwHArn3bvb3/oGZ4WkfHbW1XeVosTlKzgAs7WVGkhcrkZBp7dhfvhd/62j/77RNDKrdasUyLxk1m9H6fovG9vFuzonR265geOhXOpDJ4kqQpafWh0UDv7al6HWdZ8gMkKNMSjb+Y6H3dZdWHRsdINprS0HuqizLMpLV/3T2aAWdyRDPPtDWFZTDpMe33YJ+eeyKr+6/u3eLtd75TZZbXbNNsMDNIbGHUILlcBieOF2XBXOAum1VJR4xkj8vadVykSPvVTusRzqrSUq9FKgFAEnpvP3Fcs/Kl8+oP9U3aZmKSsvtRMbCmep2b6pYt9/bKHi2SeXpA7/enRtQ3HC2BG7tUDlkQlYElAi02FoyF55qRYb2fJEgi1NVAcpwCS4rUbqT5NaowKGNuZRiGYRiGYRg1ii3WDcMwDMMwDKNGmVMZjIMmtg89zSsafhsfO+HtKy7XAi8f+7OPe/vKqzTLy0MPPuzt//X/fSR0vl3PveDtxjoNpxwf1DDL8CSHvfW7ywQ9eTyW1d42JbSv+UOadaKPimTEAj1Ohp6kHqOw/xiF9Ico6UR5MORAn4ZvkpTZP0MPJRdor6FhDXMeOHAAxkInBokVpSZtrRp27Oxa4+316zU03dCgxY9279Hx/9QTmlnp4MGd3t6wjjLDAFjdu87bbS0aUmxuVtlNocDhed13Iq0v4hRuT5HUpo6fxIcOYi7IApLiODrO/v376Fz0hH6ZdKxluX4GN7/+9d5et1Gv57kd93s7KGiYk8O/7gxvNBYKExMTeOKJxwAAu3bu8dsLlBWidZmGvZs6aSos6NiKUaG9XEHHw8puzYoCAIMnNNvSieOnvT1A4fdMgYotkZzAUUYXTkA0mVCfyKVJApnWvqba1LcmBzVbTUBZjeIT2p9USu8h4xlK6wRgdEyvtaNT7wM3veaV3n71L7zU21u26H1HQCc0FiTZbBoHDhQlhHxLDWjdweN2fEKlla0NKhfLDOq4jeVUujLQoPdZAIjVaQG6U/363kRax3FHuxYAa6jXsR5MapvxIT3fPpKBnu7T9dkQScdGKKNf7/qLvd29WrMb7Tiix5mYUB9uGQ1nHGwc53uFXk+sUe2hEZXOTIxqv/O0iCvkp888Zr+sG4ZhGIZhGEaNYot1wzAMwzAMw6hR5rwo0lSGBSHpS99xDVPu3a0ZXP7zh/7A22vXaYgioFjh619/i7cLOZW3AMBH/+jD3n5+r0oCCjG97JFQ9EHDPTmSxMTpKV+hjDG5CbWHKdt9HCpxyVKMfpJCHRMUWspTaCle9ij94WGVFrTFqR1ltxkvkGyA9h0ZHKJXltliIZJMpdC7uhiS3njR9X57IqFh+FP9Gub+ykPf8vbIoG4fHNAMMPGEjouRMX0KHwB27n7K23UplZO0tuj5urpXensdyWh6V23w9spukhiQlCCfIR+lwZrLa0gwR5KY0RENG8aozdHDB7w9OBHOzHFJw1Xe7u5W6UtB9LiZPBetIN/gehyW1mLBkslkcHB/MbPF0UMaum5q0rB6/9ABb7e1afaHzRdp5qz2DpV/HabieJlcuDhKa6e2iyU0XJ9q1vOdPqH+6AqUJYYyLQU0L8bi2qaBsm0USD6WSqnMoKNNx2uawv7BGPlWg/Yz3hzOEHb9S9VvXvmKG7x99TaVnTY06ucUE84kZcX2FjqJRBLdXcWMLY6L99C6g//KWXrF2emGj6o8ZuCwzi8TVEAIADJNml2pmeaItiZtN0Rz20SMsqqQvGZ8TDMxCRUYO3KUMvFN6jUMZbTfe18k+doJnZuatmjmsAJlKhs8qbIXAFhB2QHzlDXnNPV7aEAzxkxSRpugkCcb02KzkWEYhmEYhmHUKLZYNwzDMAzDMIwaZR5kMKVsMJR1YXJUw9jNjRpuX0Gh9Fxes0LE45pMPk+h8Ztf97rQuQoU3v6rP/2Y7p/SsOPJYT33C3v3elsovJGhvmovouFQUSKh34e6V2kRjpdeoaHF9es1680jP3skdKztT6ksIUHFBuqof+P5yhIXvgZjYZLP53Givxh+b2jWMPy6dVrw4YmnnvZ2kNfQ2nU3aOaGXc/ryB0dV7uxPpzFwVGxifEJzXDUP6TFyp7e+Yy3RTRkefml13r7N3/jfd7uINlMAhz6U99tJKlZkuQnHZQNpqldQ/Ar16kv7XnxxdA1jIxo2HHH9se83denBcO4iFksNkm2HieZtAwXCxWBIFEqKlSX0Pt9V4dmQzlxQjOPDfVpuP4kFS/qXKEyqtWrVTYyOk5pkAAMUzaL5g4Nm7dSoZVUUo/bd1TPx9m8YnyPr9N+u0DD7y0d6itbr1zl7eXqZug/ptKf8VE9zkhW57LLLr86dA3v+w+/5e3JjEoZ9u/X7FFbL7nG28IV+0g3YfPOAsXFgHzxHhv6Cwb6ijNkCcljmtpUXtVJxY/6XtRMKk/v2R863WSzZpBpa1L7ple83Nt1VDAzPar39WGSB4+M0txRTxLnjPb11Ki2H82rfKteSCqz/5vefkn8l7zdtUkd62QunEEpO67zWdypHCeQylnFkuTTEF3Huhn4jP2ybhiGYRiGYRg1ii3WDcMwDMMwDKNGmXMZjJTizEcOaoGTRx/SAiXXXPdqb6dSFCag7xUcZuMnlSHhIiZvfouGMtZT1orGJn1i+BvfvMvbf/RhzR6zbJmGS2+4QbNwZDOU5H9AQ4VxygDQ3qEJ8a+88iXefuMvvsHbV1x+hbc72vVcX/7yl0PX8Acf/KC3c+OUUJ/DQxEymPb2dnplocmFSC6XxfGThwEABw9rSHHDUX2KfefuZ729fJmGIAeHtf3QiLYvgDKyZMNjp6lBs1fUt+qYqWtWSUhrh0rVelZu9vZ1177K21xEaSSt5ytQeLCeJGIxkr7s3K1ylW9/S7Pb9A/oE/ZUawwT5JMAMDSu0raJtMoTGhu0XYoyC/CxArqHuJj9lrFQqa+vx5atlwAAHrj/e357Nqth644ODb2PDGkI+8RRlXxxra6s0zB83oXHxiUXa/aIA4cOe3tiUmVcazatpf3VJ46+qJKYeKBTctypnCagezwlZEFTKxWjybGcSxuJU6naiuU6N7U2hUP6E+MHvb1jh95T0nn1/URS97+k9PkCZxbzMxYeLnDIlYpEsnSD782O5E6pVp0rNl18nbfXr9BxnhaVK+6a0HUeABRYOtWga7JcSuVmeRpYk8lObd+p52hbRpn4aM0oJINJZPUm3wH1h1RW/X7guR96++g+9ck8FekLsmGfGafpM1lQqU2CMo8FrBaTypKiYAbrM5uNDMMwDMMwDKNGscW6YRiGYRiGYdQocy6DmQqC9w/r0+2f/sJXvf1n61QesiWm4Yc8PcXuYhSb5IJFZU/UFiizxeVXqBxFoMd9xcs1YwYXzLho43pv/+M//r23Wym8PzpKBVsocURDo4ZZ2ttUisJZbKICh7/ytreGXj/z+M+9fdun/p+381ScqVCgcBJdW1ubXo9+8hawXEg4BMgFxZD5waMqHXt2p2ZAGafsLnt2a4GxJx/TTEIdnRru23qZhs7z5CMAMJlTvyxQFqRGKmBx7fXqM698qUq7Wps05BmjUGNA9WMaKYafm1S5yrfvu9fbn/yHv/P2U9uf1ONQ2DQINP7oykKIMZKILetSKcH69eoPHe1666tv1TYuVHhszm+PxizR0tKKm26+GQCwl2RVP/7xT7zd06vjIYhpGH7ghI7Lwwc0Yww4CxnCfhNk1L+aWtS/cpTxqL5NJSSbLlEJyWCfyikxQccl30xRBrNGkqQVKMY+PqZjN1tIURs9ZO8qKqY38kToGn76yAHtd079fWhYP5uenqh8aDyvmORyYRIgCIp/Xy6KxCmyHGXYy2V0XDz5lGZ6eWBcC/D1D6ov5Rp0fgCAySF9r0CyrQd+rvMc1RlCc6vKhTuW6bFSdSSLpupCE5PqPyNjKhGbpOKZmWH1vSCn88CR7SqDaT2k94Ct3eHqRSs6SapNxToD8geWWfLehRiv26b/3dx+WTcMwzAMwzCMGmXaxbqIrBGRB0Rkp4jsEJEPlbZ3isj9IrK39H/HdMcyjKWA+YxhVI/5jWFUh/nM0mEmcd48gD90zj0pIi0AnhCR+wG8B8APnHOfEJGPAPgIgD8+24FEgGSyGBNYv2GD3/7B/6RZWG64/pW8h3Y0Fa+4PWxHSzwcKBZPIcxLL72Y7C3agiQADQ0a0u/o7CRbJS4OGh4KSKLCYaN8QUMxUYUjGpsaQ6/f/R9u9fb996pUYD8VgiFFANoo1Lp27Rp9w2cfMBnMHDBrPuMgyAbF79RdK7TASl2dfs8epxBfLCA/oYJhw6c1w8XogO67fKWG7AEgEdfQ5spuzaB01TU3envNJdu8nRQNl6fTOraaGjUMz8/P73xOQ+9f/vLnvP1v99zt7YlJzVyzaq36HhcFy1N2jPREWJKQS6vvxklKEGT1c2pqVD+pS+lxA5KRBYGF8+eYWfObeCKBts5iZqR3/fv3+O1PP/6ctzOTKvla0aNh9clJjb0PnVSp49hpDZ9LMvw718EBzaTS1qFSyeZO9Y8BKpy0aqXem1sopJ922qaBsrU0NHKhJd1e36nF0RobNCQ/Mfi8t0cTWkwtH6hcocHpPQEAhsZ0Ljx+TH2lp+cyb1/2kq2oBMsmrCbSnDJrPlPMT1K6X3JWLFTOuJfPqG+c6NPx9uxuLS45OKrysOxk+D4dczRQ4ppNz4neg5N1Oh+NDjWTrTKVhkbdV0TnvExW7fSEjmeWjiVF55EULb1SCfX1ZEazqsUmyySXJJ0JKGtOjj4znkY4Aw5nHpPZyAbjnDvunHuyZI8C2AWgF6pyQkAAACAASURBVMBbAdxeanY7gF+e9myGsQQwnzGM6jG/MYzqMJ9ZOlSlWReR9QCuBvAogG7n/FfzPgDdEfu8X0QeF5HHT506XamJYSxaztdnMulcpSaGsag5/7nm1Jz00zBqhfP1mfF0tlITo0aYcboDEWkG8HUAv++cG2EZh3POiUhFfYVz7jMAPgMAm7dsdPf9+PsAgHhMQ3krN2p4/5m9272dpPB0HSW7T1IBomRSjxNP6nYgHDaPxdjW7yiN9Rr7uOQSLfDy9NPPeHuInhhuadOwjKPH7ONxDsVULuAUJX1hgjKZysbNWmxj6+WXe3vHC/tRia0X6zVs2bKJ3pkKQZkMZq6YDZ/pWtHqmuqLY66Xik20NmnhiP37VRLlKDPQimUq2dr+jIYBExSKW1a3MnTuNatUCrZls8pd6lP6JP7wzgPezhbIrzq1zfF6DbFvf1wzuvzrV77g7R27VBKzrEvlAhdfouH4ukaVtIRqFHGYthD+GNOjGm5tbND7Q1sH3Tfq1HczOZ2k8pw6I27ZYOaD2fCbbdu2+TarVq/zbd75q+/y9p13fNbbSafzy5p1Oo5XrdJzH9mn4fBjR8JfouMFDd2P9Ws7R4VSWpq0zegpzTDR3qbh/YZ6HaMvueZab29aq/6+/bHveDs9oLIZSepxCmmVj+UpS0wfZTBbtjyc2SIf10wvrqD3jpUr9Ljbn3nQ22vXaoa17pWrYMwfs+Ezvd0dbmpJyAV7IkwIFddbRmrKy9frGmlsXPsxMR7OJMTZxjjxViNl00uS/DkeV59LJAdpO0lOKBtMQBLkOKXr4/UZX5E49b1EUtunEnpxqXj4Y8w7lguxFoyl0K7SZsR4+wykYzP6ZV1EkigOhC85575R2nxCRHpK7/cAOBm1v2EsNcxnDKN6zG8MozrMZ5YGM8kGIwA+D2CXc+5v6K27AUw9/XgrgLtmv3uGsfAwnzGM6jG/MYzqMJ9ZOswkzvsKAL8B4DkRebq07U8AfALAnSLyXgAHAbxzugMdO3ESH/vbfwAAJJN6ag5LJBIafqir0xA2y2DqkhomSZH0JVVWxCROYWwOlSRpe0ODymD2HlY5wcCQSl8++YVPebtj+XI6N2W8oIIZCZbccJEVCsXE6TpZrpMouwYO5ZwcHfZ2OICppJr18/jxYw95O5kohlyGRobP2MeYdWbNZwRAfSlG1kyhuZ5lWtBlgOS5JOLAqlUayh4cUCnA8nbd9+pLrgmdr44eid/3/GFv95982ttNGQ1HrqAiYYfiGvJ/cM8Obz/3uMpd0hMatl+/UX1pzRqVwnHYkP2nrp4LFrE8JhyabGtRv+RwcJwTSoUyHLBsTT/BWCy0g3HhmTW/YQL6U7/lV9/u7X37NTPM44+ovOPyq1VulnOamai1Te/NjU3hsXH8gMpL4HR+4opgEwM6p6T7VCbW3KxZxQo0H2289Epvv/HGl3t71yOaFezU83oNjvIuTU7qOE4kqEALZbE5NqHZcACg2emNJEcf2iMl6SoALKP576ItOpf8wmvf6O2Odr0e44Izaz7jnEO+kPf2FFGZShxl1eP2ne2aIaW5gTKktJNflO3D6x4unMdtQvNCrPLvzM6xX5L0JSrbCsuUuT1PDyyVOUOvIhXN8OaQJInsyu2jmHax7pz7yVkOdfP0pzCMpYX5jGFUj/mNYVSH+czSwSqYGoZhGIZhGEaNMqfpDgqBw8hYMXQSEw2Zc6ibH1pmO6DwRj7PT9eyHRaHRGZfIWlJqkFlI8NDGtYboqfmf/SkhvFTLRrKidMXWqH+iasc9ohTHJ7DOKEQTTzc50Jer+mFF3ZXuprQ9+q+Sc1E8Hdf/Ly3g1JWgr5+S2m2kIjHBE0lOViQ1TE5OqhFIVIpDWcHJJDKFXQsXHa5Zm7YuvkKb3cv0ywTAHDyhGapaFqh0q5Jknb9/Ac/0u0nVNbyIklcnj9xyNvLKSx62eWaNWJlj0poslktnjE6ovYyymgTI4lKIs6+XpbeMqEOEVCmmFxefc7RLsk6vQcEdA8JuNqYsWBxNA/EYmrf8ou/6O3nnvq5t/fsPOLtrm7KJtSl4/jK67jUFxCTUW8PD9A4TWnxLUfZLybH1GeT9SpLS7RqJo0NG1S61tyq0pKLLldJzPPPaz9On9YMGUFSsz/lKYyfi7HkMnwNLqMSl9VrLvH25s1kb9VsUe3t2j4eIUswFhaudP9zoSpXUa0r+xVv54x+8UT0GAmthyQqS4pU3O4isqrwMUNCSReWTaJCKz5O2A7vW6DsYWFVi1TcHvpcQ5lkZqEokmEYhmEYhmEY84Mt1g3DMAzDMAyjRpnjqh8OCEpPEFM4ztGT56GncCnkEKeIdGFSJTRcmCic7B4QyubgAg5XqJ13+kRznOQrKSralAxIvkLh80JB9/XXBaCQK1AbtVkGE85SQVliUuHCTqFKMIXK4Zu6BpXmNLVrAv88nbtQkg5FRoCMmkVK0pb0pGamGB3VzBLZQGUjBdFx2Nu7xts3vuIV3l7Ve6m3Y1RIBQB6tmhBosCpnz308I+9/ezX+7x9aJcWMatr0rG6ZoWG/7du1sJLbSvU75MpHYyjNFabSJpGihbUJfjpfvLncr+nhACcEapA8rlcLiBbPzPOviQJywazGIhJZVni1pdc7e13/Oat3v7S52739qF9Kj3bXK9FIOu6wjfSLVfoWNm1Xf1jaFDlKI31KunacIXKSQKaay6hQkjXb9NMTW1NKhl774f+m7ePnVTJzu7dL3h7fEAlnUJzyOi4Xk99g8p6AOCyK1Qqt3adSnCaKOMTSO4Q8rogKj+ZsXBw0HxiJEEOKi8awjLjyjIOXsOdTSnF7znHmb6isr5ESVZYKkMyE17/zWARFFZARrcPHSsWoZ2ZATPpk/2ybhiGYRiGYRg1ii3WDcMwDMMwDKNGscW6YRiGYRiGYdQoc6pZFwdIoajlcayJQpSeiPPwkG6cKptmJzN6nLLUQJxasUBVFzklW4xSI2bJLpB2dfy0aoXdKKUD4uxGnIaHNF5RFbhYW8WayrIyiyG1VDan15Co17R6XRs0/V5dg342jq5HTKu+ICkEAUbT4wCAfEH//vm82kKV5EDpDQ8eet7bE2kdV42NqjPfuEnTsgFAT6/qch95RCvg3v4vt3l77/493l7eofryiy5e4e2uLq1C19bIOnU9V6qO0nq1qnY+aNJjsmaR5YuxuB4oKNPLFsApscguqAaf3UwoXapjrWKVukOj9uH7YCA6zm5+0y97u7dH9dr3fO1b3j50TFPnDo+Hx1xXh+q/t156kbdPnNJ2jY2atvTKba/y9sZNqhXfskW17C3kE3kal3XNun1jy1a1LyIdPD/LRY6Ty3Ga0/CkkKIq4QA9F0Ya4vD0zBpd+91vMeBTN9K2KGl6ZDVOJjINY/hgoXSNIe135fVTqB98SPbvUJbEiONUydn25bnDnUXnrnB6R9OsG4ZhGIZhGMaCxRbrhmEYhmEYhlGjzKkMxkHDCI5iBjFwZU8OjVCYgCMjFMNOUFy9PNVajEIWOZK+BBE2p2LksEQmo+m3UKA0k65y/0JVS0m+E6f+cUrHPOcJKgvp58f03EFWQ5gtHVrprmN1V8V+c7qifD5/Rt+M2se5AJlCUerlqDppQVT+leIxRvbQkFarffTnX/f2wf1a2TQV07SfANDWptUUBwZOe3t4VKVgXR0aLn/FlVRlkao9jhe0fbagcoN8muwC+b3oMRsbtU/JhN6iOIVYJqNh+kIuHF/N0+eUSNI5OKUjh/lDodpYRdtYJPA8EnqhY+6K67RC6Nr1m739hS98ytvPPq0SMQBARsdQilKS9qzQyqOJBr2XHz/+E92e0jSL9fXaZkNS5THNLZo+ke8DCCprFFhKwHNtMslTfngucFzWN7KCI+/BYXyTjC10HBylrmXJSWXNiYvSn0Qd/yxNQlWGwem4K6ddDRNV2bRy/2ayBIqqkHpGGssoOU6VzGRfm40MwzAMwzAMo0axxbphGIZhGIZh1ChzW8HUOeRLUhOWvnAIzZGeJMtVQSmzSUCVPFn4IqRWAYAsSU2yOQ17h+IgSf2+Uoh4ujmgkCJXGw01iutxkkkN9dfVaXg/QTIYrpo4PqZV5ThrDQAE43RR3CeSxAR0LM5oE6raNfWZmQpmQSExQX2q6KYcgSuQpoMr1abTOs5j5N5re1Q2VU+yj9Onwk4zPKgVEWM0WC5ar1KrjZu0Omlrl2bBSKTIlzKaDSYISdhI1hIKneu58oGO7XjAvqf7si/F4uHfHPLkDyyJceTHqZT2j7MsscQglJXAWBxQfDs0+dGfmqWRbV3LvP2e933A2z/63vrQYXc+86S39+3d4e3xcZWc1TXpGG9rU398pu+H3n7qpyqvWbl+m7e3XH6dt1/5shu83dKisrWoFB4XLqlRZf+NqmZpLASKY39GmV5CVJf9pHwflpcEtAac0UiSiPYRmphq5Ttnbc39prPzXD2Ta3AzaGS/rBuGYRiGYRhGjWKLdcMwDMMwDMOoUeY8G4wv1sBhAooZTJKMYyqDCQCkGlROEqdiKgkullQoC1JQ4Zh6ego+TmHzWELjD/3Dmj0DVGCpqUOfxI/XUcEWyhYRylbDYRnObkMBkRQVdkpRgaPxUwOhS+gf1z7Vt7V6O5NNezuXpjA+SXBYBpMoFcYwFczCIiYxNDYUpSaTmQl9w+nY42xCLDOJ0aDsaKciRS0agl+zLjwixsf1HFxApYX2aWmnDDL0dT8e03M3pTQ8zzKyPDj7kvp6jORlnISFJQmcrSKRYPkaVzICYiSdydI9gAssJakATEiak9UsO6EsUMaiIxR55vkoVnlstXaqFOzfveNdoWNdedU13v6X2z7n7UHKqDQ6oWPxVL9mgFmzarm3ua7fgz98wNv7D5zw9tbNmqGGZTCcCUzOSYpi8pUljeNsfTNZKdB9N6Lq4kyzz4UKRnLGGWojoQJ5tPaiDHqhmSCiKFLUeXm9xOcKtw/KNnBGQM5cVjmrYXQ2qoqnC2G/rBuGYRiGYRhGjWKLdcMwDMMwDMOoUeY4G0zlMEsQsqmAQ0olHQkqjsJZHULFiJLhokhxyvTCkhWWvqQHtXhLZnDU2y3LNeQZJwlOKLMFx+udq2gH5dKcCsQpBlKgYi8AEKcCMa09Gi51BQrvc+GADIf9SX4wFeKxokgLDu8RNN4C+p6d5zpaFIrj4ZmnzEqcSaUuHs4+1NjM2YtU+sI+ytKuhhQVMCJJWobkNJythSVvLIPh+0FdUvvAcHuWx0xmMqF2AcVRY0JZp2joZ8lPSFEUlrBZUaRFzkyKrFC4nUPmZUNj49bLvf1Lb3+7t793773eTg5rZpjJ4+ofLxw+4O11a1Z7u7lVpZJ1KfXfU6f6vL1ixQpvNzZqZqZz43zGu80rCx0Hh3xJNsj3yqhCQ8J6lZAMhjOvVC+DiSLm2BejZCqVzz2T44ekOEHlfcuLIoWLeHJxz6j+qR1aPk7buxl4p4jUi8jPReQZEdkhIn9W2r5BRB4VkRdE5CsikpruWIaxVDC/MYzqMJ8xjOown1k6zOSrdAbAa5xzVwK4CsAbROSlAP4KwN865zYBGATw3gvXTcNYcJjfGEZ1mM8YRnWYzywRppXBuGIMYKpqT7L0zwF4DYCpR+JvB/AxAJ8667HgfIaXRDxesQ3LXbgAUSgUUaAMERyjiYeDCfyArXBmFCqlNHpaw5F0WNRT9oxwNSIq3kKSnXiscrg0qlYEh9snR7QPp46eAFPfpk/7Jxv0y7Er0Pmo4wEXRaLz5UrFqFg+YFw4ZstvnHPIZEshcIqbJRI6FhL0hy4UOGSnUg/hYj8kS0lApWYAkIjIJhSyHY0xGuDsAw0NGpKfzIelXVPUUUYkjrWGxij9nMAhR8d+SFmjAMDRPYQ/swK1C0hGhhiFPzkLVBPfA4wLzWzONTMiIoNFSAYTivRzyDs8dbJ88/IrtYDRyhW93r733m96ezI96O1+Kth35LBmj2ntUB/KZFSu+e27vuHt3bv3evvmm2/29qpVPTAWP7PrM84XhXMhKUvUudWWqGwrMzjOdH2aguc2FyE7DlcAi5LEVD6TROh9eHsiHk7b4iJehRXSnKUpohDUDIQwMxKpiUhcRJ4GcBLA/QD2ARhyzk3NfkcA9EbtbxhLEfMbw6gO8xnDqA7zmaXBjBbrzrmCc+4qAKsBXA9g60xPICLvF5HHReTxIPQknGEsbs7Vb9hn0unc9DsYxiJhtuaaU6dOTb+DYSwCZstnJmyuqWmqygbjnBsSkQcAvAxAu4gkSt/eVgM4GrHPZwB8BgBSTfVuKsLowm0q2qFweCgTRuWQgRTKJB6cJYWOmye7ngoepZroaXrKGJPLVi6swhSor1FSk3CYRc0chUETZaF37lOWirTEIq7NBTOIWRlzSrV+wz6zYmWri5WKDQVOZRw5GusFSlFUYHlIlouCVc6gVMiG5WhCErFshuUuJAGI6/Y0tDhXslH3TbC/RmSAYckbZ90IZ+DQvnFGmvo6zRjTFAtfw0ROP6cs2ckEFVYjiV06qzI0PlLeflyYN853rtm2bdsMbnjTVyKRqCZS/pKrg6mUbOXaDd5+3Rvf5u1kfbu3G5s061Iuq2Ouh4olpSfHvL19+y5vj49pcaVdO3d4e8UK3ZfHukRekLHQOV+f6e5qcoWSPDCU9SSqkA8fh+yoMVaekSUkU2bdCL0R43s7zwWhbC2VixlxBsBQYq/QWi1iLRmLWF+VtQtJWVyW2lG2sZBKJ+K45cWWKjCTbDDLRaS9ZDcAuAXALgAPAJjKUXUrgLumPZthLBHMbwyjOsxnDKM6zGeWDjP5Zb0HwO1STCIZA3Cnc+4eEdkJ4A4R+TiApwB8/gL20zAWGuY3hlEd5jOGUR3mM0sEmWnS+lk5mcgpAOMA+ufspLVBF2rnmtc555ZP38yoBUo+cxC1NYbmilq6ZvObBYTNNTWB+cwCwuaamrnmin4zp4t1ABCRx51z2+b0pPPMUrxmY3ZZimNoKV6zMXssxfGzFK/ZmF2W4hhaCNds9bQNwzAMwzAMo0axxbphGIZhGIZh1CjzsVj/zDycc75ZitdszC5LcQwtxWs2Zo+lOH6W4jUbs8tSHEM1f81zrlk3DMMwDMMwDGNmmAzGMAzDMAzDMGoUW6wbhmEYhmEYRo0yp4t1EXmDiOwWkRdE5CNzee65QkTWiMgDIrJTRHaIyIdK2ztF5H4R2Vv6v2O++2rUPuYz5jNG9ZjfmN8Y1WE+U9s+M2ea9VKFrT0olsM9AuAxAL/unNs5Jx2YI0SkB0CPc+5JEWkB8ASAXwbwHgADzrlPlByhwzn3x/PYVaPGMZ8xnzGqx/zG/MaoDvOZ2veZufxl/XoALzjn9jvnsgDuAPDWOTz/nOCcO+6ce7JkjwLYBaAXxWu9vdTsdhQHiGGcDfMZ8xmjesxvzG+M6jCfqXGfmcvFei+Aw/T6SGnbokVE1gO4GsCjALqdc8dLb/UB6J6nbhkLB/MZ8xmjesxvzG+M6jCfqXGfsQdMLxAi0gzg6wB+3zk3wu+5ovbIcmYaBmE+YxjVY35jGNWxEH1mLhfrRwGsoderS9sWHSKSRHEgfMk5943S5hMlvdSUburkfPXPWDCYz5jPGNVjfmN+Y1SH+UyN+8xcLtYfA7BZRDaISArArwG4ew7PPyeIiAD4PIBdzrm/obfuBnBryb4VwF1z3TdjwWE+Yz5jVI/5jfmNUR3mMzXuM3NawVREfhHA3wGIA/gn59yfz9nJ5wgReSWAhwA8ByAobf4TFHVRdwJYC+AggHc65wbmpZPGgsF8xnzGqB7zG/MbozrMZ2rbZ+Z0sW4YhmEYhmEYxsyxB0wNwzAMwzAMo0axxbphGIZhGIZh1Ci2WDcMwzAMwzCMGsUW64ZhGIZhGIZRo9hi3TAMwzAMwzBqFFusG4ZhGIZhGEaNYot1wzAMwzAMw6hRbLFuGIZhGIZhGDWKLdYNwzAMwzAMo0axxbphGIZhGIZh1Ci2WDcMwzAMwzCMGsUW64ZhGIZhGIZRoyy5xbqI/EhE3neh9xWR9SLiRCRxLucyjAvBXI3/CvvuEJGbzmXf0v4HROS157q/YcwlF9LPROTjItIvIn3n3kPDqD0ulN+IyHtE5Cdn2fc7InJrFeea8/Xdgl6s2wRuLGUW0vh3zl3mnPvRfPfDMKqllvxMRNYC+EMAlzrnVs53fwwjilrym+lwzr3ROXf7fPfjbCzoxbphGAsfiz4ZxoxZC+C0c+5kpTfNlwxjdqkVn1p0i3UR6RCRe0TklIgMluzVZc0uEpGfi8iIiNwlIp20/0tF5GERGRKRZ2YauheRuIj8dSk8uR/Am8reXyUid4vIgIi8ICK/Te81iMjtpf7uEpE/EpEj5/ExGEuUeRz/F4nID0XkdMkHviQi7fS+/5VFRD4mIl8TkX8RkREA76FtXxGRURF5UkSujDjX9SLySKmPx0XkkyKSovediPyuiOwttfkHERF6/7dKfjYoIveJyLoZfbiGUWI+/KzkP/cDWCUiYyJyG4Xj3ysihwD8sNT2l6QoPRsqyQMuoeNcIyJPlfzsqyWf+/isfDCGcRbma37S3eWTIjIsIs+LyM30hpfQSFEy81MR+VsROQ3gY9Ot7+aCRbdYR/GavgBgHYq/QqQBfLKszW8C+C0APQDyAP4vAIhIL4B/A/BxAJ0A/guAr4vI8vKTiMja0oBZW9r02wDeDOBqANsAvL1slzsAHAGwqvTeX4jIa0rvfRTAegAbAdwC4N3ncN2GAczf+BcAf4ni+L4EwBoAHztLP98K4GsA2gF8ibZ9tXTuLwP4logkK+xbAPAHALoAvAzAzQD+Y1mbNwO4DsAVAN4J4PWlfr8VwJ8AeBuA5QAeAvCvZ+mnYVRizv3MOfd9AG8EcMw51+ycew81fTWKfvd6EbkYxTH9+yiO8XsBfFtEUqUvtd8EcFvp3P8K4N+d30dhGDNmvuYnALgBwD4U542PAvgGfxEo4wYA+wF0A/hzTL++u/A45xbsPwAHALx2mjZXARik1z8C8Al6fSmALIA4gD8G8MWy/e8DcCvt+76I8/wQwO/S69cBcAASKC5cCgBa6P2/BHBbyd4P4PX03vsAHJnvz9f+1fa/Whr/Fc77ywCeqtRXFBfxD5a1/xiAn9HrGIDjAG6c7lpRXJR8k147AK+k13cC+EjJ/g6A95adZwLAuvn+e9q/2vxXS34G4CaeG1D8kccB2Ejb/hTAnfQ6BuBoad9XlWyh938C4OPz/Tnbv8X1r8b85j0AjpWN+58D+I3yfUttD5XtH7m+m6vPsya0OLOJiDQC+FsAbwDQUdrcIiJx51yh9Pow7XIQQBLFb1vrALxDRN5C7ycBPDCDU6+qcFx+b8A5N1r2/raIfdk2jBkzX+NfRLoB/B8ANwJoQXGBMHiWXSqNcb/NORdIUQq2qsK5LgbwNyj6TyOKX4ifKGvGmTImADSX7HUA/o+I/G8+JIBehH3WMCKZx3kmCj7XKtBYLvnSYRTHeAHAUVdacVTY1zAuGPPsN+Xj/iAqzC8V+gCcfX03JyxGGcwfAtgC4AbnXCuKvyQAxQl5ijVkrwWQA9CP4h/ji865dvrX5Jz7xAzOe7zCcac4BqBTRFrK3j9K+7Jui49jGNUwX+P/L1D8peElpfO+u+yc5bgK23y/RCSGok8cq9DuUwCeB7C5dK4/meZczGEAv1N2jQ3OuYdnuL9hAPPnZ1GwPx1DcWFT7FDxeY01KM43xwH08jMcsPnGmDvm02/Kx/1aVJ5fgDPnp7Ot7+aExbBYT4pI/dQ/FL+tpQEMlfRIH62wz7tF5NLSt7z/DuBrpW91/wLgLSLy+tIDBfUiclOFByAqcSeA3xOR1SLSAeAjU2845w4DeBjAX5aOeQWA95bON7Xvfy09fNEL4IPn9EkYS5FaGf8tAMYADJfG8IfP4VquFZG3SfHp+98HkAHws4hzjQAYE5GtAD5QxTk+jaKvXQYAItImIu84h74aS4ta8bOZcCeAN4nIzaVnPv4QRV96GMAjKP66/kERSZSe4bh+ls5rGOXUkt+sQHGNlizd8y9B8XmOmRC5vpsrFsNi/V4U//hT/9oBNKD4TexnAL5bYZ8voviATR+AegC/B/hF9dQDaKdQ/Cb3YVT4nEoPMIzRAwyfRVE/9QyAJwF8o2yXX0dRX3gMxQd8PuqKDwwBxQF5BMCLAL6P4oN3mRl/AsZSplbG/58BuAbAMIoPAZWP/5lwF4BfRVE+8xsA3uacy1Vo918AvAvAKIp+95WZnsA5900AfwXgDilmotmO4kN7hnE2asXPpsU5txvFyNbfl/r3FgBvcc5lnXNZFB+ufi+AoVK7e2DzjXFhqCW/eRTA5tK5/xzA251zp2d4HdOt7y44EpbwGLWAiHwAwK855149330xjLlARD4GYJNzzjIhGcYcIiKPAvi0c+4L890XwzAqsxh+WV/wiEiPiLxCRGIisgXFsOU357tfhmEYxuJCRF4tIitLMphbUUxvWukXTsMwaoRFlw1mgZIC8P8AbEAxNHkHgH+c1x4ZhmEYi5EtKGpwm1BMG/x259zx+e2SYRhn47xkMCLyBhTTtcUBfO48n2Y3jCWB+Y1hVIf5jGFUj/nN4uGcF+siEgewB8WKm0cAPAbg151zO2eve4axuDC/MYzqMJ8xjOoxv1lcnI8M5noALzjn9gOAiNyB4pO6kQNBROb0adaZJF6O7NB57VzbOOdmmpPamH2q8puWjk63rLeU3nUG402q/stG7zB7g6Ryx6Mup9q7hCs7UvhV1FUE1J7aRJz70K7n+p1zZ5S1NuaEqueaWGPCxdpSFd6J+ANHOU7oxyypYE0d1YVeVTwU7x9xvtDZXNQ7jMygTRTVlkE42z5ntg+Gcwgm8jbXzB9V+U1XV5dbv3793PVukREEpTO3mwAAIABJREFUeW/nc5TEjFwjHo+rnUzS3uomTzzxRMW55nwW670IV3Q6AuCG6XaKz6FKfiZPz0bdYh3dTKOWAnwzXSh3pEJ++jbGBaUqv1nWuwZ/emfx2S8XBBXbxGmsxmI66iVyIp9+0XDGeyHnqHZRwP3WfaMOI/xGVCPaXEB4UIdyPQZ1Ef3I0Fa9gXKkke0PXLPBqpvOH1XPNbG2FNreu6n4IuQ29Pel4R3EKvsBj8VYoL4VKxuWjkadi6kd0PkCadDjCs9OroIFJPhFMPuL9XLfD383OP/F+vAXXqiqP8asU5XfrF+/Ho8//vgF79RiJT0+4O0Tx456W8h329s7vd3atVLb0MJYRCrONRd86Swi7wfw/gt9HqDSrx0SYVObiEW5RLzgc8QibrKGcT6wzyxbtRqp0rdxF+Nf9ir/yhderCuVl+oVz13RDhFaTJ/lYNMQ+jWSzFjAXxLIZl+l9kEsfBuLxbLeTuUm6VD6S0YGjd5OOFrsB5UX60btw34Ta03q37Lyd9yyH9Pp705+lqKx2DihX/w6Y92hY9U16tgaGtHUzenChLcnEzQWCzpGXb3um65T/y346utAnBfrMoMF+gzW2uc2vqffR+8bC+UnrKUL+8zatWtRKBSmtnObeelbrXBWNwn0i/n4yJC3R06f8Pbk2Li3B/u0YGrTCm2/rLt32n6cT+rGowiXX11d2hbCOfcZ59w259y28ziXYSwWpvUb9pmWjmVz2jnDqEGqnmukMV7+tmEsNaqaa5YvN5VfLXM+i/XHAGwWkQ0ikgLwawDunp1uGcaixfzGMKrDfMYwqsf8ZhFxzjIY51xeRD6IYgnWOIB/cs7tmLWenQPl0U5+jpIjGSxfiVOMI85yFzpYZcVtWYSeZTZz+xytsYCo1m9EgGQpLB8UottMEaPxLJGSGJaflHvN9FKbUFRUKpqIlp1H+EboZwOWu0Q9O0KtC+EPJp4Z83YioyHIvDTp9sYVdGrdPwg9eGp+XAuc91wTEcVnLWlYeaUvkjT+VmTU3pJsDh2rZ/kmb59qUYnL4MSwt1Oxk95uqdOHX3ef1B87Xxwb8XamgeeUytcQBY/dmcoYJCQzi3hINmJ75X3Nf+aT8/GbpS59YULTXdl86Wi+aGzU+aWtS2VyrZ16hGXLdLuLq/wtkar0MHyY89KsO+fuBXDv+RzDMJYa5jeGUR3mM4ZRPeY3i4fzkcEYhmEYhmEYhnEBmcNEiucJxSI4/WCCvm40psLfPRri+rqrTcOW3Z0UrmigUARlAegfSXv79PBExe3DGX0SOFOIyJAxg2jS+WTKLafahFtGbSMAEiU5iwtJXChdY8RfN/qJ/ugsRmG5S1Q6u7N2+Uxc5d8EwnIctQvk1KFTUR7bTJrkLfQUPgDkBvq8PTDU7+1Uqz5x372lR88ncbItG8ziQFSvFfF3DOK6PUEjv0CR7lxOJVLrKLS9ETqHAEBDXuUrTe0619TXt+n2eKu3N63SB8fHT496+9ghzSIhq/UcmTrtVD5GUi1yLU4nKRH3hNA9pDx1Y0TaUiYyP7z5irFYkej5Mojp+jHZoH7f0qRSzLqGFm83tetDvFUuE+2XdcMwDMMwDMOoVWyxbhiGYRiGYRg1yoKRwbDKZGNvu7evWdPh7c4yGcyGtZpidO0aDXuvbNXLrqcycbmEFkoZHNEwxtGDp7y998VD3t7Xr8Uv9verVKZvSItfjGQ0ZFngSpPUT66SV+1T/0B0FdZQVo2IFkZtI6BsMBTzjrEMJqLSqESmbYmoEoNy6Ux5T0rni9g3iKyyWPk43NeAK0VSa0eat/SQSgSG+7Qw3+TJPjDZoUFvj1HVyYu6N3u7kaQEac56Qxl0LLS/kHHTVtrle22C2gYRdoHSMbV0aTVSAMhN6lywrEVD4+MxrZTbf0ylW4cDnS+4xu6KpM5Bh8apKmqDtirE1CeEMhlFSV8YLppWTpREplrpi2USMRYrrmxsF2i2EpJTNqT0HhCPVc4wxgXJIwooh7Bf1g3DMAzDMAyjRrHFumEYhmEYhmHUKLUng+EwA1WqWL9Mw4MfeturdXudFqBoKfvqcdnV13o7SyGHiRMverswrpkkcgnN9LJ6hT7Zu7lOswBsadEwRv+4ynEOkfRlz5CGOJ/aqxKaXYf0XBm6zgLFQOQcQu8cQQl/BGeKXyLq6hg1ioggGS+G11xIrlFZBhOOpkVJWrhJ9HiLCmdHZZ8JWF4TOmxlOY6LkMS4jI7SoWNHvH36wC5vZ4eOe7s9Eb6GyYQet/eSq7y9YtNGb+cLet9IktfE6ZbozigYZSxIItIuhLKf8J86wf5EO8R1bKSz4Tvt8QMqvbq4QzM+tFKKlqFxlcpMxnT8bdm8Rdsv6/T2iT1PeDubpzt3Pfk+ZUYLyylnL2uLycEMo0i5V0lId0pmRIGxs2Vjmg77Zd0wDMMwDMMwahRbrBuGYRiGYRhGjVJzMhjOKNFE2V1+5cat3r5xkxaXyJw46O1UTotLAMD+px709rEBfbJ+8LDu0xxoMYue1Rq+jG/SzBHDw3rMsUENZTYn9Onf9XXa181XaRaaW66/xtt3P6Rh/O8+qfYAFVfSI5aYUeZ8fSMIyQyi88QYCwOBIFXK4BCAQ2iUGYbDbxF/56jMLmcMqqhsMHTYULYWlq/wDhGFJBztzUVckFXp2IkX93p76NmnvT1xRLfnRGUEV7z85aFLaFijcpf0yk3eziT0CX2BSt5S9Fh+NqZZPuIklTEWGgI/tiOkXqHhGjXWKXtKOquak5FYmUSqoDLNo3uPenvVxV3e3tCjGcn2nVBJZGJST96zcq23r6NiX0+N6zFPJbQf7IsshzsXuWO1IfrzCekbxky40BKsasetO2N+ZTmqemMglX8HD/tMaCad9tz2y7phGIZhGIZh1Ci2WDcMwzAMwzCMGmXeZDAc3Qg9OUsymMs3r/P2m256mbdjcQoDtq7w9tAL+0LnONWnWV/2aj0V5CY0BL6lm8L+edW7jPUf83YhrtlgCikNkx/r04NmxrX4xZYObXPFxSrZaapTKU+Q0mv49iN7vJ2epMf7EQ7PhiQHbFMIJUFfv+roRVOyKLAZoEIbRu0TE2BKDVagKi5c2yQmUXInCrmhcpzflX1fl4gn2kN9iuhrlOwqVAiCZTYZ9ZlD2zXzxZ6f/sDby49q+L85ozK3060t3h7Lh8VjbT3rvZ2hQmf1BW5HRZic9iMf0+Mmg0kYC5ipoRYRYRYqMlYIJSGrPI5zeS2U19VdHzpW/qTKYppIhJKM69jquGi9bm/XrC8jaR2XYyMq1eqN6dxxIkMFwQI9ZqFN981zShu6V0horiDKFXAzKKoUaj+LGWeMxU/5uIiSUbH07ELLq4KgcsavyPO66HahrHz0olBgv4zSk569n+XNDcMwDMMwDMOoIWyxbhiGYRiGYRg1yrzJYELSF9reUKddeuMvvMbbXV1aOOJTn7nN24mYhhyvaA6HLuqDOm9v2nqxt0fHNPNEQ4Nmg8kmx72dG1OpTEevhsaDOrX3HTzg7ZMntChGS6uG3jesP6nHSenxX3ud9mdoMuXtB36m2S8AIE+qmAT9terr9cWqZW3eXk0SnDoKxzaVvpfdv0f7YywMEqWYGmdPicUqh98ipS+hsF50aDHUKqSJIXMGRWZCPeKfBHIqLdn5mGZrevi+u7X9kQPebnEa5u/oVclbqr3J2/0T6s8AsKJefTQeqJ8kcpXlDQnRPmVFZWIx+yljAePCIecKxEkqkiWFVMBjmiVclAGGi5IBQEsLjblxLYTHGSKGSVVV36j37Ez+/2fvzYMku64zv3Peyz2zqrKqq7q6em+sBAGCBNEECULkUKJEc8aySNschuigBdkayf7D1iwaWwxF2JqZsGSOQ7N4Rg6NMTMSaW2UZiSR1IiURJGiICwE0dgINBpAoxu9VnftW+758l3/kdnv+14xE13ZXV2d1XV+EQicev2W+zLveffmO989B1mH1mjcSaVRmO+OYWQqa1bRjpNlnLSex014VKBMY5H+XtK4zcMywxjd8N7mgcpjx9wc/Gd2drarvbCArHwBTZJSKcylMhlI1cbGIDs7cADZ+vbs2RPZvg//cT00x99fFIlvgrdThr4Q8zAutNfv8GLDkWEYhmEYhmEMKDZZNwzDMAzDMIwBxSbrhmEYhmEYhjGgbKlmXQW/DkKq1ela+M1weA905vsKVHV0BbrU1RpSaA2lqZppETpwEZGDB3dF9kgK+r9XXj0T2U+eRpW4OuljF1poR/E0NFT7s6QvXIIWaa5EuqRzSAF5n0JrWG9B1LQ7g3v+kQeORHa+Bc2iiEiyhjRdxXHo0XeRfXAE9+Y10b7lRejxJWhrqJ46A62XMfioiiQ7+th46sYemnVO2abd7Y1fu/sxPQpCrksnSlCl39IlpGJ87ptfjuzZM0i7OkIav5Vd8J/8bfCT+QWkVtXV+Vg7yLUkG0LP+PqJ76EdTRzz/vtvj+xA8ZxpUMVTY7tBFUx75EVzPf7wqd+HPuzVgMajajytZ3FsNLLn5tCXiwG06Wvz0NwuKtZf1AJcI4NhR1K7Dkf2XWER289C91qdXYzsaYf2NbLwIb4H1q9715BhMbbWjBze0jXubPj7Z216q4V+OD09HTvmjTeQsvrcuXOR/dprr0X2zAxSlpZKmPeVy1j/x+kX+XrcpnQajjU6Cl/9wAc+ENkf//jHI/v221H5mu8nbMVTPcbSFcfzkXdtx/UUkrc364ZhGIZhGIYxoFx1sq6qv66qs6r6Cm0bU9VvqOrJzv9H3+4chrHTML8xjP4wnzGM/jG/2RlsRAbzBRH5VRH5/2jb50Tkm865z6vq5zp//3xfV6bQQFIQWrhrD+Qd3uXjkX1+HuHzDz2IdDv7j3wosmuteNh6fu1SZDfLkH9kR5Dep+4jzWKDJCshpQD61suohDosCH+OeZCc1KoIeyxS2H81vRf3E0DSkm+iPYdzuP89H0RIXkQkW0bVxuIIvq70CFKFLS0gFFqvIuw/sQ+h03qt/XmnkvFqj8YN4wuyCX6jInLlK+Nf1kpaFO0Rgo5XI91wu+MXj67R41wcCu9RbZdjf4sXz0Z2ZRY+nXTot5UQflUfRz+fuAO+MbdE6fEuws9FRIqUUtXVca7pp/4isl9dRdj16G0/Gdm5ITx/XNLGty3mC7JpY42TqN/1SDUa9ujHLBVpkFZklfroEj3LRUQmCvsiO2hBlrgwD1ljcgzP/OoyQvr1EJIYl4Ksc2URx07kME7lcpCDHRS0I1OF/HKG7mcljxsNSD7noBgQkbdL6ApYcnC9Mjtj0/iC3Ig5WkT36tcMS0VYuvLtb387sh9//HE+RM6exVjQaOA5zSkUub81m5B5cbrGWg1zMpa78HkWFzFH4vadPn06so8dOxbZLIn58Icxx5ycRDV7ERGh1KycltGxNIfa6q5DB3PVN+vOucdFZHHd5k+IyBc79hdF5JPX3ALDuAUxvzGM/jCfMYz+Mb/ZGVyrZn3SOXflddZlEZnstaOq/oyqHlPVY7YExdjhbMhv2GeWF+a77WIYO4VrG2sqrV67GcZOoO+xhosRGYPHdWeDcc451V75IUScc4+JyGMiIh7tpyR94ewNU8PUpBImKnMrCJnvffDeyP6rF17BPs2p2LXPn3s9st9ZwEr8Bw4i1P2eO5ExJplElasyxQiXFnDts+dQqVRJEjOSQcjl8EGENZsBzrO2grDm3fsgj6nP4ZxhNR5e9RIIoSxOI9xfDA9F9tAI5DtjRRzvUcadpaV2Zhjft3DlIPB2fsM+c+973usSnd1i0pfuxUVjYbl4ZLpHZpd1m3sldeD9YlkkOHNGGCvhhnNS1dKZafiSl4DULJ2GTyZb6LfpBkKfy995PrLHzsAXgkVIxURETs/9GprBsf4ZhF1dDn519iSyEhy+B5VRk2k8D4ybTz9jTWIq27vs4JX9yfZop1j1QQrvlxSh+kYi3oxdu/E8XxrFs9nzMJ7VSng2jzTwIjTMUfYjn/ahSrxLDcruksY4d8chtON9Qxhfji9jvPvOInxuKcdZYmK3IIkW3bd0//i0l6bIGFg2OtYcPfqgw/fb68cujy+wT548Gdm/+7u/G9lPPvlkZHMGl/bx3WVULGXh7Sy1SVA5d64ezNs5Mwyfk/epUPXrF154IbKPH4cE+0+//vXIfve73x27h4lJSLJ/4IPvj+zhNJxLfVzPJ7tfRcy1vlmfUdUpEZHO/62GvWFcHfMbw+gP8xnD6B/zm1uMa52sf1VEHu3Yj4rIVzanOYZxS2N+Yxj9YT5jGP1jfnOLcVUZjKr+roh8RETGVfWCiPyiiHxeRH5fVX9KRM6KyKc3cjFany8tkmhwXD2bRUaX7DBW1dcaCIcUstg+v4CiRk+cimeFGMkj1D20GyH3vNBK4gCr8pdXEE6vUgGjiST294qQ7xweR8GL0aEM2p1D6H76NMJDHoVRJYH9U1lIAGZLcRmMSyGjSyaHYxYWsN8whU7TSbS7kEPoJ5dvZxnwPMsGsxVslt+oividDA7qeklZKJzouutj4kf2/Id1C/+7h7xjSiraJaRIKxdtWpy7HNnVOnzpyH0PRfbCxfORPf3ic5F94eKzkT2Zhy/syVGmo2H4j4iIJOEPUwWESMORw5H97KmXI/vkGyhiM7nnYGSnR+8UY+vYzLFmI0WRehYF4kxl5Fs1H2H1N2ZOxg45Oop+M34PZImZPMadU68h80S5BMnK6DCF95sIy/sh+vX4CBUFXMY40MoiDJ/chX7/UBHbhz1kNfqLBRQGm8/QeCQioeJ6LcW9+iSJSJDUrbVOIGPcHDbXbzrfr3YvNFSpoI89/RSezb/+G78R2WfPIHseZ3Dh84jEZS2cuYWLCPExKcrQV6/Xu9p8npGRka42X3dtDXM+Lrq0soLMSn/9xBOR/QTJekREcpSl6Y/uxHjx0PveF9mf+cxnInuUpEMhFf/jNvXiqpN159xnevzTR696dsPYoZjfGEZ/mM8YRv+Y3+wMrIKpYRiGYRiGYQwo150N5lpxFA5oUmYYRxkiDt91OLKzCWRM2ZVCGPChu2DPLr8au8btlKzonUWEVhINXK8UIEz+ymWkLlpbwcplXjG8mwoY3XN4PLJXywjFvEzhzjOLCAN9/IeORnYmRIYMLUEmIC7+lSw73N/kMK6XWMIK/1YZ4Zu1BKQvjkJZyWQnxKn2+2w7oSKS6ESYW5wNZt0+3Q/2rr5Pl+tdwfUodKKxQkjdV/R7JD3I+rDf/8iHI7tagW98+QuPRfb0ZRStuHcEYc3bdqFv50cR1kzec0+sfVMkk0tdQtaN1QrC/k2SkTUaVPhmEc+ZqdsstL99YdFld7i/cuid7Zif+ZQZphrPbFGp4e/iCGQnzQDP+UYdZ1tewphy2zsh6WKZyRtLsMdJQXCEanXVycfnSgjJ7y1SxrN3YkwNTqI93z4H+ZeIyBzqMYlLQo5KtV5ilZR6yfKM7YkTlfBKf6KiPsvLkBr/xTe+Gdm//ZvI+vLqCWTe88hP1ktfGJaQFAp4ZrMEhYsfsVSEJTEMS2L4PBs5J9vZ7DppZYf198MZbl588cXIfuSRRyJ7dAxZxXoVFdsINnMzDMMwDMMwjAHFJuuGYRiGYRiGMaBsvQzmymJjXm1Oco1GDaHxpqMwfgYxukuXkTJ0PIdw3dEphFVERMao8EmSrlejME2lQSERCkFm05RVhQoeSROhixNvQb6ysooQ++UF3ENjAVkuPvzQ7ZFdXkF7VksLkZ0vIquAiMgMJbh5q4aQ/oE8JAHZNO57dRWrm9dWcPC+fW1NkOtV9cYYWK4Un/AoBJ0gn0kn0Z8bLc7WgFChOs4CRKvQYzFukRQVRmmRnwSUOsMP0L9LPq6RoceJKvZZW13FsZTRZfc4MlZcvjyNRpDsbO8wipallyD3CpqQrC0vY7uIyFAOhY3yTdx3zadiGx6eG4VdaMeFZYQ1J1rxzEzGNoUlLrRZexYK676dj61RlgsRkTqF1tM5hNDPn8Hz3xvF9sksiiipIjNMLovzJkrox7UmZF+zSxgvfA8ShXoNvvVWGXKuvbtxP3szCMnfm477zUsrkJ9VoUqQZpKfHd1TQdm4cgsQhtKqt/vi2ioKUk6fP4NdqF8dGEcnOU9Z/GaX8LxnOFOLSDxTzNLSUtftfAxLUxIk06pV4T+1GmRevSQ4IW33E92nwHxdLqjEMhuRuET6Yx/7WGR/9rOfjezhYcxdr8dP7M26YRiGYRiGYQwoNlk3DMMwDMMwjAFlS2UwXKZCKAOMR1kuMrTKd2EWMpPLFxGevjiLEM1CFfKTE6fjYY+JUYTQ75xE1peGQ+hwqYUwBif8z/kIudQFGVlWAlzPExw7Oob9803sv7aIUGMigXvm0A0Xdtqz+67YPbQaOL5GodZFqmeRpgJLniI81KBj65W27cLeq7ONwUNFJRG2vSYIKKMR/czOZeHGXLCo2qSV7qR2adGxwboaWSnaLxlSISSK3jVIJpAjac5oHZ3y2Wf+OrIf+7Vfjewf/MR/Fdmf+HHU6chSwZnJFPrwgxP7I3tkDSv6a034QqWG7SIiHvlGLQspwZtp/IPbBVnBPe96V2S/8sZrkd1qwC+N7Ydb938REaWMDyFJwGIFkrR7rqUW7e/WVVTKF9DP0hkKm9PxuT14tk8NYTxaW3g+spdnkeVrWCANq3mQuEzXIT8oVCGzmbv0RmQP7YPfzKaRFq1expg1tk7t84MTKOryehVSm1MljLetHGV/4k+2z8wWxuARtgKprLS/98XpM9H2+iLktJNDeDa///53RPY8SV9WX0E/5MwrSZKutEH/YemLC1m2Rv2KMqlUqIBRQLIWRz7aorlOq9U9C0ud5mH1BuZ/XNRPKeNS0IjL344eRYa/v/8P/n5kT07C51iOs5HiR72wN+uGYRiGYRiGMaDYZN0wDMMwDMMwBpStzwbTJVo2PIxsJocOH4rsTBphiaXls5F9/hJCLnvvfF9kP/qxj8fOe+48QoTL51Go6OVXIa9ZaEJek6UsEmWSxFQpw0aKwhh37EK7J4cQpjx7ASubs7RKOukhhLIwhxB7GOCcl6eR8UVEZH4OIf4srSpeq1NGG0r4P56h0CTJJiqd8Ccn5TcGH3WhZIJ2X6w2qSAJrWL3Wgi7pyiDUrNFq+odZZmgPtDw47/XG/RngsKIlExJkh60M8VFZJA49Sdfi+yv/85vRfbqBYT2z+7ZF9l/vIq+XjrzVmSPZUjWE6LdRSqYtkThzkoNoUwRkZkybmL06G2RHR5CJoxPHkbI/67bDkT2s8/+Fdo0g2eGsQ3pjDVcu6fld981V6csShwmT5IUjGRhKT8+dPoB/m36tTORPTeH7FxH70LxLq1DjpLOHY7sIerXBYX8wKUwpkzP4VqFcfTdVBb9/sIl+GU6AclXsIZja6W439yxH5nIpsbRptUXIGmbCzH2enmcKyDZgIvGSJPGbCfCMJRKpd0nVuaQcW91Dn1puIhn6ANHH4rs+3/gRyL7tdPnIvuZZ56J7Mcffzx2Pc4AkyB/mtiN4o9ZKoB5aQbztiplZQlYnka+m6Rxzo/J2eDrtTqyx6QzlNmMMjrt3r07sh/5AIodiYg8+hOPRvbdd98d2TzPuh7pC2Nv1g3DMAzDMAxjQLHJumEYhmEYhmEMKFsvg+nAq/KPHIH05e673xnZ4z5CheHLFyLbL+DYH/6x/yayP/zxT8WuUasjZDd94mRk/7N/9f9E9omnno5s14ScYKWKMEs6xIrmvVQgieoDyCtrlKFmFcfu3z8a2csLkANk69AV5KlQzCtnUexFRGR+EecaoxQgiQKyCVyaQUNWfIRfimm0O9UpnNNqWfGK7YS6QPx6u29VqCjQWg39J3XgcGTnqV9UA0i8XABfyNJq+7TEV+ivJiljERVPypJUyz+HEOmJL/8e7L9CmLMxi2wS+8Yok8XLL0T2mWefxD4B+nmCpAcrVcgIGmW0rUlZmerrihfV7pqK7N0/+qHIPrpvgo7Bo29uBs+W1XlI586eOCbGdkWjkHiKtno19KF6As/yFvlESKmTAnqeFmo40x4P2VZEROqKsePU6RORzVliJgvwgyXKnNTycGwiT1liqniuB02MHbuGIL9cqyAzzAhlTjo0jO2OfLzlYawd3Q0JjYhIqgjJWXkO8oBDadxDkzLDLFHmtiaNi3pFEmMqmG2F5/tSGGnPV0YnqW8ovtvDdyCj0S6SNDrKSPfA+/HMPXQI/e08yZJFRKam8Jz+0IdwzMMf+GBk83zlt3/ntyP76acxbyuVaZzjTDI0RuSpsNHe/Wj31F7Y97/3gch+93vfG9lHbr+96/4iIinyAc58s1nSF8berBuGYRiGYRjGgGKTdcMwDMMwDMMYUG6aDIZ/J8zNISvEWglh73feh5DL0OSbkf2D77o3sh/58MciO+HHl/oXslgFv28KWSGyw1htXKJQSaOJ1fEZ+hkzmcMfQ4pQ4XyFsm3ksXo4TCDkUshTiJMKaQwNI9wZFtCemdeQFUNEpNrAMYuLkMgUsgg75YcRXp2bQQaBSoVWOqc6hXUsG8y2woWBtBpt2UmJiwIF7Lp7IivhIyznO/hSpYwwurYQrvMpBC8ikqbiRN4awoulE2ci+9Kf/GVkh29BXhY2ScqyC306lUIf9uqQ8uQb8LdD9ChqUtWmZgl9eInueZFD7CM5YUY/gufD+QLapIsI4ZcoRYiXgEzgjsMI/+aSJhnbtiiywCg98rIkHxuhYndDIewqSbJKFew/0cRz9p7D6GMiImtUHGyFqnINUZ+tlPD8Lg4hq8Z8HZnBylWMha0A2b+cB99XhQ8VqIDY4grdQ/YwzpOAH+emIGmRVrxAnobwNT8PH/zI+x6M7L3TGLe+euZ1HJzE2Bt0Ukc5c59the8nIhlMLn9/tH3/7ciiJFzmAAAgAElEQVRilMpinuNRVjCeVYQkG34XFZz75V/+5dj1uBDSrl0oYOlzZT/KSPa//tz/HNlPPP6eyP7Tr389stfW4Bt3Hzkc2Q8/gP33kpRliMap294Bnx6hokaMW9ep+W/f75FqapOwN+uGYRiGYRiGMaDYZN0wDMMwDMMwBpQtlcG4zn8iImELoY5LlxHiO3XylcgeDbEa/o4jyBLzwUc+E9mNywghvvjtb8aut1ZB+K9O1TDO0mr9YUXIMvS5CAzJASiUWaNwZ8jJ+KvYXifpynCeCrzQPY/sRZillEEoJghPxe4hCCAVqFSQHWdlDaH/ofzeyK5Sm8prLINp338zsNjkdsK5UGrN9vc+XESGh7EswujJFP/mRmgxmUBfWJqfjuxaGaH2CSpyISIyskr97envRfb8Xz8b2cPLkNc4Cn8vU/iyRIHRoIZ+62o4Nk1yg1yGQv41lsQgzD9dpEw3eyFxK1PWGxGRlQKOWVjFM2RiGW2dbqJNZfLXZhXnqq4hg46xvXDiJOyMNnUa5Xzql2NUWO4jtyH7Qz3EARfIH3I+yRuH4/KxUydejOxvfucJXOMAQu5H3o1x57b9yHgRppGl6PyFNyJ76RKKwCQVfTRo4bk+tQf3cGgKbZpexPY6yXfSDr7vUQYPEZGlMiQOSSpGxnslG5DZja/Cz+ayaF+92PEzywazvVCNMr/4VCDIpw7AKpCW4A+lf1DaXqDsZFw0SERkhYo51qk4kU9jmE/SrIxgrvaBByFZ+cFHUBgzpCxLSZKleAp/cFSAaZwKgeWGkbnPkfzGUUdWjXfq9X/fSOzNumEYhmEYhmEMKFedrKvqAVX9S1V9VVWPq+rf7WwfU9VvqOrJzv9Hr3Yuw9gJmM8YRv+Y3xhGf5jP7Bw2IoMJROTnnHPPq+qQiDynqt8QkZ8UkW865z6vqp8Tkc+JyM9v/NKUvJ5CCZeXEJ5+/XVIQko1ZLMYySJseOYN7HP8FEKRIiL1gDJJLCPkXlmAdGbfCH6vlGlxfIWyBrQoLCNUsCVFYf9qHe2eGEdI/847OFMHwj4L88gMsJZGaDaRiP9+ymURjmo5uocqwrPVCrJccHGPRoD2XZxph/SbQTwDgHFD2DSfaTQDOXepLeXIDaMv7dk1Svtg/xT1z2QCUqlqibJVXER/kTdQEEhEZO5l+JNPGWCKdazwT1C2ozeoH54jiUsYwhYKTToKZZLaQFbTlDGGCsP4BxCmTO9HEY3iQXwW5VeOx+5hZQ5+0hpBqH4FlxbnIeTP2WoSJDcIW/TBGlvBpvmNOhGvi+KvmUN/qFKoO0igc+zJQ2I1sXs39qfiW0uzcb955SXIN+sFdOz5CVzjxRmSX44g61DCR4aWYcqKcWAfMnI0lyHJOn8aY6G0oFFI1iF1O5SBv7ZakEn6CcjeKhr/gOqCMazhQXJ38jyKoC1doIxkTYxbK0u4z2axff+mgtkSbsz8LJb1hGQg0l1Gq7Fvm+cw9DwN48cmEvCTep1kNJRNpnoZUrDKGvrn2O0YF/YMU5++hGx4S1SkKFWE7HhsAnYiiedBvHXaxfr+bDC9uBHymKu+WXfOXXLOPd+x10TkhIjsE5FPiMgXO7t9UUQ+uemtM4xtiPmMYfSP+Y1h9If5zM6hL826qh4WkQdE5BkRmXTOXfkZc1lEuiamVNWfUdVjqmq1u40dx/X6zPKKLXI0dh7X6zdhxSKIxs7ien1mbm6u2y7GgLDhbDCqWhCRPxCRv+ecW+XX/M45p6pd4wPOucdE5DEREU/VXdnLo6BDlQoTnbyEUEeClvGvLSL0V0j/eWTPzyOkP01ZLkREjr4Xq48fzEIS8PSTL0T22csI13s1rB6u1+j+WhSiIZlKIo390wnsf/dd8IvhIsLtVGdCZi4gXFNKI1zzgYexsllEZG4e2Swuz6BgUqWMEP3sDMKUSSrw4hSf38ziFRmMFUXaKjbDZ47cdsidvbAgIiJ7pjg8j77XaqD/ZNMUfiPJU6GEfYLX0Pdab52Nt/kS/ClHGZFqFJqskCTmBK3on/Phu9kE2pcZgizMG4I/ZIcRwk+NImNFfh8kAsUjKGYWUHtKFBJtNePvHErn8QNn+ACuV6Wnnack66HMF4HX3X+MrWMz/CYxlXX+lUcd7R2SdHE5g+/9qYvIfPTBAygCMxxAojJ9ETKTZ16ISy7Pk+wrdy9kmi4H6cwrbz0f2VMZyNh2D+2P7HIT2YjCNGVIonGnsA/9shpi7Fx1kI8VFD5QyGOfWhNjhd+Mh+qHQ/hsNYksNgHJFR7+gYcie44kB3907DuRrY2On1oBvi1jM3zm6NGj0T7xnrER6Ucv2QdnUon/SyaDZzMXQlpbQGEjHtvGSb6SHYNcbPoMJGnJCmSZo4cwjmR3oT8rZ4bp0epBZENv1lU1Ke2O8NvOuT/sbJ5R1anOv0+JyGyv4w1jp2E+Yxj9Y35jGP1hPrMz2Eg2GBWRfy8iJ5xz/5z+6asi8mjHflREvrL5zTOM7Yf5jGH0j/mNYfSH+czOYSNx3kdE5L8VkZdV9Urs7xdE5PMi8vuq+lMiclZEPr2RC6pr/z7wFCGyJhXyOfYaQo2tIwgV/s0PQx5yoIjw4KlL0Fk9cSIug7lYRWaLH/vgfZG9exyrh2cWEMYfyyEsE3JS/AZCNGkqAsNZbLwUwueXZ9GOv3wC7fvwvYcj+653vAvXomT8R9794dg9nDuPUOOTTyE8dPL1c5EdkNwhkaTiGVTAqdaR8lhgckvYNJ/xVCXd6Vu8Er/ZQHg9JFnKW69D1jL7vScjO3cMYfvscRRe8ZvImCQi0qLQdaWGf6OuJPNJZIOpFCETmNiDUOPILshaRiaQjSJH2S6yw5CmZXKwJQ0/dPQ+wQtxzwEVCJtfift9voR/k0XKfFOEn2UpPFtv4fOLxUVb2ylIekuwiWONRhkZXNj9eyxRsZczDchPll59BmdZQFi9tIjnb2UI44CIiH8vssa0suhb+TX032yAcavVokJ7VKiuvAZHWyB5Y1haiOyJMVx7bALZwpZWIMWZXUJbJwrYf6SI6xYyGLNERDTEB1Jbg7SA/c55GDtzKTwHQpIraGDysS1kU+dnWwlLddIZ9KVGBmNBk8aa/DDGlIDGhYUlzOGKHvr6aBZj02ZlZ9nKIkjruapXOeeekN6CpI9ubnMMY/tjPmMY/WN+Yxj9YT6zc7AKpoZhGIZhGIYxoGx5vOpKwI9/CnJkYW4VIbfj5xHe2P0mwnIX0gjfvfAWwoPTpXhocuY4JCgjPkL/R4r4jeKnEEYczsEuUuiw1URocnkJ4VLxsU/T4ZzLKwjDz15CGPVD9yObx+E7kanGH0a4pk6FZURELl2ErCEM8UFxbSMupJSkojgBFa3QK/Idq1SxrQjDUOq1dh+qlNE3SiVkezj+GooCvfJnfxzZScrQ8JBS6LxFEpBkPBReId9qFRCOzI0i/N0chZxk1xCKp4zvRhaMXbRPLodQZsBFMjhxDQm0AkfyMs7ARxlmuKDNSrkkTDqDf1s6jUI0ug8yncw4bEfn4mIgse3GtsN1G2z43wXfb50yey2N4nmqFIb3JyETyRXiftP00W+GSF9zRwrP+dt2H4rsgo+xZnURksbhFCRgh8ZI4nKRCuLNIUPYyMTtsCdRKGyZCi3NX0RhmaaH+xmZIB2QiGge04E8KYdIJCaXKAPM6eOUnawByVzoD4thXI24ooQkMVn4QJmy27EqMZPFuLP/MDKGrV3APLFKUsnhPMYjVsXdTFlLv9ibdcMwDMMwDMMYUGyybhiGYRiGYRgDypbKYJyIhN735yOJb0KMYnYZobWvPfl6ZGczCFmWSihsUV9X8GeIwu+ry5ANvLFMUhYKcyaWUTwiSckpQg9tShYQOtQkPr6wgZBqmovR5HH+WhVhmUuzKPI00kRI54234sU2zl5cxjFzOH5hGXaGilZwIZckyWMync/M20ZhH0Ok1QplpVPF1An63vLL6Cd/9d0nInvh+eci+4NV+ENyN1bSV4uQYzWLyM4iItLYhRB2cwxFVkqUreVlKpx0uY6+Xj2NcPvdU+hn9xxBpgznEFRnGUyLMkIFtKLfCykbjGD7KmXAWa7Bb0VEdlOY8/AZZJc6V4bPNEfRJo7HhlbI5RbByZUKfN3LwYhkSA7Gz/iAJDGOslQ4GqhSAYtDRCZX4Jt/48jDkb1v+GBkey3I2MoO8s18Af2XhhfJ5tCOxjj8b6WM8WutCcnA8BCkarPzOP/Jk8gqs6eOfu8N4zkgIlIo4Fy1MsbLp55GMafZOsajUgiJp7cXz5FoXLSxZufQy8ne/iCYJH1MkRTMz8EhGlS8Lucow9EUfIzPWV2jQmVDVGwzg3OG9L7aUbEkbk9Msn0TyyjZm3XDMAzDMAzDGFBssm4YhmEYhmEYA4pN1g3DMAzDMAxjQLlppcZcLH2OdP2D0xMurUKvtEQ69XhJzvhvjyAkfSylaMxmcPHiMPTiKSGNexV6vHIDmsJ0Ch+ZJnHORpM05KQ7zPtoU6i4of0HkcZrcRX6wjenofsVEakL2jc7h1SWjRrONVTM0hH4QHy6djbbbpTnxdPcGYON56mk0+3vbnUVOtLzF09G9uSu8cgeeue9kT1KvtQahxbdUQXfBlXPFREJqCoh22fnoFP/xiu49kwZKeWaNfjbEqUv1QQ5u4MvhZRDq0rrOWqUKnUoDWcqFOELnMYrNYH7FxFpLMKfimfgT/OkN6w6PEP4IeicVS29NdCowrSSntajPsfrp1pkO0Hf4OGFllWIV47rse8o7I/sjz74/shuUPVPbUF3/upbWI9VriDNot+CjrxExYXLdfiijMKuk6Z3kYbFOqVovO0upLbbtxe+n0rE009WF+C/b5w4D3semnf/HmjT3TCeKR6Piz0qxhpGnO5rGtRDv0zl4RtctVtozYijedjw7snIXpnG/uVljAmc4lR6pI9U6a5Zv5nYm3XDMAzDMAzDGFBssm4YhmEYhmEYA8pNk8FsKKsT7xRLq9M9zLa+GlWtgVDJpTWERB68D6l+7jtCIXQKU755FqG/y3OLkb1WwXl8H6HGLCIx4jzskyYJwJE7UM2Oc0M+f/y7kV0K4l9JjUKbi1S5LkcShVQSaYyU0jWGJAPKZNqhJc+z32fbiXbqxnYKqnIVEpJUGv0kR32pSpKYygGErC/nsU9A+rJqHfITEZHSAlKzVRrou29dROXCtSVIqZpNSnlHfnnmMvZ3AfZP+1SpjvqwT/3Sp2qQStXslteWaH+cxy/GKyaWKaXceYf7K43gemml6r6kqWEZjElitjNO3BXZE6uwyM428dBOhyTjIP9IkPQlQcPlZDKe8vQ9U3i2r8wgXehqQOkaKZWqCoX60+jLtRDal1IZz+9mAN9nX5m/NIPtPsadPbvR18M1tDto4fw5ifvN008jBex3z76K894NaY5O4bxK6Yo55el2qgppDB6cQjGRwbjVqGIcCZvox36C0mn78Kshqrq9OAM5ZDKLMS5XxD6OdW4sg6E0ju4mdm2buRmGYRiGYRjGgGKTdcMwDMMwDMMYUG6aDKY3FIbWDVQTZKVMPDVMLGPE9DL0JPMrCKeMDe2N7PFxZGhxPkIrXgIyk/klhDVXaLm+Rw0J6DfQyiqqzf3x178d2U89cwz7VJDlo6Gc2UVkcQEh/aCCkH5yF1VPFYRIPUdfKYUjPbXfZduRWq0ub548JSIiC0sI3zVaVPGzTplN0vieyz76ju8j5O8oK1ErjFf/TAbYb3EBffeVE2/Q9ajSL1UVVQojZhMIl99155HIHqbV/RnKRpHwE2SjfVkKr5ca8Le5ZUhiGlRxUkSkNIKsMW/tRcXG9F5kCshzpdIecheTwdwasCzDIxlW4hLJXeapIin1Y5+q6SZJrlL10f9ERGY9yCYbi5S1K0E6xgIyL3mK7YFHlXUT6OOJFOw8VanO+agsvDKD8ajSggzm0PsejOyZOiRplTr2+cZfPRW7h6fPo0q49w5UPPb2YExqNfE5UdHXHvJKk8MY14DC59Ikg6m00PcaVGE3n4NMixMRcSaZoRH4zPIcZTdKkzQyi31i2rlYpdV4U12PiqY3QgpmMzjDMAzDMAzDGFBssm4YhmEYhmEYA8oAymAY18V6G3T9nyQJqCPkeXkBMpgGrWjPUOaWfVNY7V+rQQ6QpopHa2+eiex6FWGZoImGNGs45+uUIYOSXMjkbqzKDxo4j4hIjYpBpalYgEeFO3yfZQCUSYM+EBeFKS00uZ3IZNJy5113ioiI/9aZaPviMkLtQ3uwov3ABELtRSooFHqQt4QpkgKQ5EREJC3omM8uIyNEin7WFyaokFgK+xfSsI8cgOTk/juRfSlDBSyEpDxcSCWggkU+hd1zgvvJkdSluSeemSNBWXPCFI5JJikDB2WKalLxMJa+cIYLY/txpZe7HhX4SjlIQlZ2oc9okiSG/DqLsgwlm/GCQpdmXo7s8mUUEPMoncy+SfTTQ6MHInvPOGRi+VHYyTza0WpAKuMl0ahdB9Duyy/AX2fOQEJz4RKkMk8+/3Rkn6vHpTyJeyEZC3bROEF+mmlSZhm6t+6+YjIyo39YyqJJPL8zBchdGmXM4TJ5zJm8FKQvQUDF0KhIGM/5FqYhiRkZxZiQIImm43mUH58y+zSmJBI3djptb9YNwzAMwzAMY0CxybphGIZhGIZhDCgDIYPpuXCWwyEbOdH6lbqUTaYVIuR5fhH22XmEEd//HoRQkjlcceY8wiZlWsUvtPp+KIOL16ngxewK9vE44wUtpc95aOfUBFY/i4icEUhw5ipoh+fIblCbWBETktyhE07yTAWzrUgmfJna3Za2DOUhIWlRrNBP4kvlXEIZTnhCxSKUM2K4ePjaOfx+f9c9t0f2odv345gMOlmKsr5kKAyYISkBS2hcAH9wLW4gbF5h7/hYuucsnT+bihd38VPwjSafIKQiLgK7V7Deirtsb7wuyowWSWJ0DCH2xC54jotJCdn2yI73jRUq0hKM47zpFHz2DBXUO7fwWmTnz5+M7P1DE5G9uwhJ20gB2VmGCpC9lVYhzSmT5PLL3/qzyD65dAbtnqBCfu/cE7uHoECFybjIEe/D0hfXXSZmfmNshF7ZtpoB5CiVCvr3GmXfW5tHMbCLlxciu0zJzRxNhpo1yGaqVZKUURajbDaeie8K/MzIUaElEZH9ByDx3LULMrcbIYmxN+uGYRiGYRiGMaBcdbKuqhlV/a6qvqSqx1X1H3e2H1HVZ1T1TVX9PVVNXe1chrFTML8xjP4wnzGM/jCf2Tls5F19XUR+yDlXUtWkiDyhql8XkX8gIv/COfclVf03IvJTIvJrN7CtfeM5hON4hfE0FXt58dR0ZD98FKvmiwXIUbwmVhvPnTsf2RkPH18yiRBKvY7zZ3MIFSbz2CfhEBIlVYGMjcR9qkqh+6pD+EZCSF8qFYSNnJIUIYFzDefa92MymC1jc/zGOQmDdvgvk+QvT2P7wKYGUL9SKoTkU4Es56/7vU7H755EGH481iQKkfO5WMoSXi1ThIiL3Q7rXSgjS6x51Dg6Z9CKZ7Spk7wmVqyFTG43h+0tA8xN5caMNb3qm1A/i4XkXY8DSLrYWicBYWlZkjJJtJSOKWIffwRylGWSNy7XEN5PzmKsSZzDeTIhZDYKZYCUAowPtRwVFruPsiUVMSbUvbjfcFGz3spUkgWR31gBsZvGDfEZ/j63QtbU0//I9pLwGS+DAkalNcy3WiT9zeTQ1xMklXRU5JLHgUSK514kfaGsasXxCWHSVFSJ4XGkl5/w9o18xld9s+7aXBH8JDv/ORH5IRH5j53tXxSRT171aoaxQzC/MYz+MJ8xjP4wn9k5bEizrqq+qr4oIrMi8g0ROSUiy865K690L4jIvh7H/oyqHlPVY5vRYMPYLlyr37DPrJbK6//ZMG5ZNmuscZVWt10M45Zjs3xmbm5uaxpsXBMbWrLqnGuJyHtUtSgifyQi79joBZxzj4nIYyIiqnrVWFk8GsDhg9hZux+7/m+WwdC/Vho4/o3zSIr/+HOvRPaH331HZGdpBXxjbTmyV1fwW6fJEXrFkuRCjjJnUBhVqjhnooX9h7Pxu3A+MtQslxHzLFECmCol+Xckm/GTlORf2zIYtUIVW8a1+g37zJHD+13Y+U57hdY4M4WSzikmAeHzkx2uC1/3DGezNIVkJxgPesPn7NWmmPykhzyB7Ra1odGgFACyTuLSI6Afu80ehZBMErP1bNZYk5jKchqX/ugRkt6w1IOzmJG0JB1yBiLaidIlaYZkKqMkraSuWKfBxmuy5Auh/jTVbApIPtfw4K9eGL/PBLe7T4mLZYC5eWyWzxw9etTFCyzeWHr1GW5DKoWOPDwE6cvUvsM4gDTOXqwQJHZZq+ClV7kMO0NFLnlMqdfrXffhY0XiY0+lAhlaqYTsMzzmsc33Xywi21Mv+soG45xbFpG/FJGHRaSoGgmk94vIxX7OZRg7BfMbw+gP8xnD6A/zmVubjWSDmej8YhNVzYrIj4jICWl3ik91dntURL5yoxppGNsN8xvD6A/zGcPoD/OZnYNeLcSlqvdLe4GCL+3J/e875/6Jqt4mIl8SkTEReUFEPuscpTjpwtGjR92xYyZdv5mo6nPOuaM3ux23OpvlN+Yzg4H5zY3HxppbC/OZG4/5zK1HL7+56mR9kxsxJyJlEZnfsosOBuMyOPd8yDk3cfXdjEGg4zNnZbD60FYxSPdsfrONsLFmIDCf2UbYWDMw99zVb7Z0si4ioqrHdtqv7Z14z8bmshP70E68Z2Pz2In9Zyfes7G57MQ+tB3uua8FpoZhGIZhGIZhbB02WTcMwzAMwzCMAeVmTNYfuwnXvNnsxHs2Nped2Id24j0bm8dO7D878Z6NzWUn9qGBv+ct16wbhmEYhmEYhrExTAZjGIZhGIZhGAPKlk7WVfXjqvq6qr6pqp/bymtvFap6QFX/UlVfVdXjqvp3O9vHVPUbqnqy8//Rm91WY/AxnzGfMfrH/Mb8xugP85nB9pktk8Goqi8ib0i7wtYFEXlWRD7jnHt1SxqwRajqlIhMOeeeV9UhEXlORD4pIj8pIovOuc93HGHUOffzN7GpxoBjPmM+Y/SP+Y35jdEf5jOD7zNb+Wb9IRF50zl32jnXkHZ1rU9s4fW3BOfcJefc8x17Tdqlf/dJ+16/2Nnti9LuIIbxdpjPmM8Y/WN+Y35j9If5zID7zFZO1veJyHn6+0Jn2y2Lqh4WkQdE5BkRmXTOXer802URmbxJzTK2D+Yz5jNG/5jfmN8Y/WE+M+A+YwtMbxCqWhCRPxCRv+ecW+V/c23tkaXhMQzCfMYw+sf8xjD6Yzv6zFZO1i+KyAH6e39n2y2Hqial3RF+2zn3h53NMx291BXd1OzNap+xbTCfMZ8x+sf8xvzG6A/zmQH3ma2crD8rIneq6hFVTYnIj4vIV7fw+luCqqqI/HsROeGc++f0T18VkUc79qMi8pWtbpux7TCfMZ8x+sf8xvzG6A/zmQH3mS0tiqSqf0tE/qWI+CLy6865X9qyi28RqvoDIvLXIvKyiISdzb8gbV3U74vIQRE5KyKfds4t3pRGGtsG8xnzGaN/zG/Mb4z+MJ8ZbJ+xCqaGYRiGYRiGMaDYAlPDMAzDMAzDGFBssm4YhmEYhmEYA4pN1g3DMAzDMAxjQLHJumEYhmEYhmEMKDZZNwzDMAzDMIwBxSbrhmEYhmEYhjGg2GTdMAzDMAzDMAYUm6wbhmEYhmEYxoBik3XDMAzDMAzDGFBssm4YhmEYhmEYA4pN1g3DMAzDMAxjQLHJumEYhmEYhmEMKDt2sq6q31bVv7PVxxrGduNG+Yqq/qSqPvE2x35dVR/t41qHVdWpauJa2moYm4n5jWH0h/lMb26JybqqnlHVH77Z7bgertaZDGMz2E6+4pz7m865L97sdhiG+Y1h9If5zOZyS0zWDcPYWdhbQMPoH/Mbw+iPQfGZW3ayrqqjqvqfVHVOVZc69v51u92uqt9V1VVV/YqqjtHxH1DVp1R1WVVfUtWP9HHtn1bVE6q6pqqvqup7O9s/p6qnaPt/2dl+j4j8GxF5WFVLqrp8/Z+AYWyMm+kr7cP1V1V1RVVfU9WP0j9EYc1O5OlJVf0XqrogIv9IVX1V/RVVnVfV0yLyn1/Hx2AYfWF+Yxj9YT5z7dyyk3Vp39tviMghETkoIlUR+dV1+/yEiPz3IjIlIoGI/CsREVXdJyJ/IiL/h4iMicg/FJE/UNWJ9RdR1YOdjnOw8/ffFpF/1Dn3sIj8mIgsdHY/JSIfEpEREfnHIvJbqjrlnDshIv+jiDztnCs454qb8QEYxga5Kb7S4f3S9otxEflFEflDfjiv4/0iclpEJkXkl0Tkp0XkR0XkARE5KiKf6uuuDeP6ML8xjP4wn7lGbtnJunNuwTn3B865inNuTdof+N9Yt9tvOudecc6VReR/E5FPq6ovIp8Vka85577mnAudc98QkWMi8re6XOecc67onDvX2fR3ROT/cs4969q86Zw729n3Pzjnpjvn/D0ROSkiD92QD8AwNshN9BURkVkR+ZfOuWbHJ16X3m8tpp1z/9o5FzjnqiLy6c6x551ziyLyf17Hx2AYfWF+Yxj9YT5z7dyyk3VVzanq/6uqZ1V1VUQeF5Fi50u/wnmyz4pIUtq/ug6JyN/u/DJb7shSfkDav/SuxgFp/3rr1qafUNUX6Zz3da5nGDeNm+grIiIXnXNu3bn39tj3/Lq/93Zpl2FsCeY3htEf5jPXzkAI528QPycid4vI+51zl1X1PSLygogo7XOA7IMi0hSReWl/Kb/pnPvpa7jueRG5ff1GVT0kIv9WRD4qbblLS1VfpPa49ccYxhZxs3xFRGSfqio9RA+KyFd77LveRy51aZdhbBXmN4bRH+Yz18it9GY9qaqZK/+JyMYzPlkAACAASURBVKi09VDLHV3SL3Y55rOq+k5VzYnIPxGR/+ica4nIb4nIf6Gq/1lnYUFGVT/SZSFEN/6diPxDVX1Q29zRmajnpd0B5kREVPW/k/ab9SvMiMh+VU1d4/0bxkYZFF8REdktIj+rqsnOeo97RORrGzz29zvH7lfVURH53AaPM4xrwfzGMPrDfGaTuJUm61+Tdie48l9RRLLS/kX2HRH50y7H/KaIfEFELotIRkR+VkTEOXdeRD4hIr8g7cn1eRH5X6TL59VZyFC6spDBOfcfpK3D+h0RWRORL4vImHPuVRH5ZyLytLQn5u8SkSfpVN8SkeMicllV56/xMzCMjTAQvtLhGRG5s3PtXxKRTznnFtYf24N/KyJ/JiIvicjzIvKHGzzOMK4F8xvD6A/zmU1C4xIewzAMwzAMwzAGhVvpzbphGIZhGIZh3FLYZN0wDMMwDMMwBhSbrBuGYRiGYRjGgHJdk3VV/biqvq6qb6qqrSg3jA1gfmMY/WE+Yxj9Y35z63DNC0w7SezfEJEfEZELIvKsiHymk/WkK4lEwiWTyc7x2L6RJnA7+dh4es7ex7zNmelMOJev2J7UMLI9OqcL6fzUjBb9BgroH0KyuWXX9hVc/aBu5w2CQMIw7P2hGTeUfv3GT3gumWrXi1AP/cr3fbLxdSYS+NIz2Wxk57NFbkVklcorsevV66XI9jzyhwRsVbRDHbankmhTKkU1Lhz8p1xu0LVb2KWFfZIZlH9oNbE9bGH/VDaJYyVOSH5Zq+L4fAHHBAH2r1Twh2p312hUq/POue8ra23ceK5lrBkZGna7x9tfl+ejPyUS6APpdJqO4F6EPtNsNCO7WquiTetecznyFefoH2P9Cdfgw32qB+ORj7O/87M8DMkneDwiP3M0fnFbEz77NNeh6d33mw34Rxgbh72u21ut9mc2NzMnaytrNtbcJPr1m3wu7YrFvIisnzvxvCU2c7l6G4T7Z3z/7leIw8fErqzadR92FJ/2SdAzwI/1W/KZHnNB9ovv9xG+P24Gndf12Cd2Fvx1eWat61hzPUWRHhKRN51zp0VEVPVL0k6r0/MBmkwm5Y47johI/KHEgys/iJgWDdT8gfF53u4Y7g78BfFEIkHnGvVx7J5EJbJzrVpkBzTIt6gZa4pJ0rzLRHbFRwr1Bt1zK+z+xbY3dH/YxztA924fdjnv7OycGDeVvvwmmfLlwDvGREQknUZfGhnF5Ht4GNtHxzG5uO/+eyL76H2fiGwXoB8+eexPYtc7dfo7kZ3L4/FQHMUx6QT6t4aY/BzaMxTZh/fDliYm6N99DkXgnnxqMbJrZUyE9t2+K7KXLmN7ZW0V17p3d2TTvLu9H/0IeP0EfnwcfXhfZM8twjdeenE5spNJ3HMY4jxnX3rZqjzePPoea3aPT8j//Yv/VERE8qMoEl0cR7+57fbbIlsFfiMt2JfPX4zsV1//HvYvxJ/TrRR8sBHmsJ8P//A8+EGKfpyOZkYjO5cvYJ8M/KwZ4HprlXJk1+o4Zz3E2OSSuIdkBtcqjuKcu8aHY/cQ+6FAPycuXpyN7Cr9+E2mca56vR7ZCyvtMeZ//9lfEOOm0pffFIt5+R9++qMiIhI0eX6BOUWg9LT1YHs0peIZiwqeoa1WXZgW9WnPw3OXpzNBC/07pHlfkybcDfKlVh3jxQj5z2RxLLILPn6kNwKcvxnySxucP5XC2JdIxOebSvNHnm+yPzTpzVCzRfM+OrZJ9i//yl90HWuuRwazT+LlVy90tsVQ1Z9R1WOqeqzVWj+sGsaO46p+E/OZoPuPV8PYQfQ91qzQDzvD2KH0NdaUK/HJtDFYXM+b9Q3hnHtMRB4TEcnlss73O78PWEGibHcPiPQKRWivcMj3HQ87QX9kKFy4O4U3E5MebK8Gu1HHr6dYOJLeoDQprKkUfondGzW1V5RhfbvjYRYOR/JnhnPFz8tRBmOQYZ/JD6fccLHdt5JJfJ/5HL7/oSG8HUjS27vXjz8T2efOv0z74I1aaRlv6UREMiRfyabRp32fwosp9KUmPd9LVZyrXkW/T1O0fe8U3nZkMnj7t3gR7b74xhLOU8E+e/fibf2BfXhTslrFsSIi+/ai3XmKDjz7zAx2SuJc0TNpHb2ifMZgwn5z55E7nOs8h0sVvG2T1bXIvHjpcmS3AjzjmzX044unT0d2aRX9MuHFJSTNGvrg/DIiNerjjXsyiZdVBYrgUCBWpqcvRXadfqjTCzmpN3GeRhP+4Tzy0QzZSfhrbQpv8cur8R80y9Tu4iiiWzMziIAlEvCbbB7jztIqIraBtD9jG3MGH/aZfXvH3JX5g2pcpHEFlgfH9qDvuhXQHInejAdh/Dktjucq/JYdvtUuXNqmTpK0MvlASG/BfWpVrYHBqVyBOiKZ7SUvI4kYycVa9Oae5aciIqFjiRDJ2RJ4Gx+ylJPe3ofU1nADWujrebN+UUQO0N/7O9sMw+iN+Y1h9If5jGH0j/nNLcT1TNafFZE7VfWIqqZE5MdF5Kub0yzDuGUxvzGM/jCfMYz+Mb+5hbhmGYxzLlDV/0lE/kxEfBH5defc8bc7RlUl0QkjxBaMSvfwQ3wlMP2u6BEyWC+gUVqhn6YV/mOKsOhkEqGZXbQQJ+EQrliuoa0rFJYXWhTRoMWjayQ/CZQXtlLjWMZCLffWyYD4T14Yq7HwDZ+2+6LajazcNm48/fqNn1AZm2gviElQCG54xCMb2zks12pie72CML+fgUzk4N6p2PVGRrAAL5NEKNxL4rxr9QuRvViDlODyPK4htHgoT9ldZmbhP6GjLB0kI1ueg3826/DDO27DAvmJIqQ86TQWkYqIpLO49q5xyGWOPQcJxNw5hEUL41hwxOtqPDUZzCBwLWONqIqXbD+TSbkoFy5BCnVhBnazjv7gUbh+9TJeRI6MoL/uHtkbu9wCjQsBLS7zKPuMz+NWD+lVhcL15SrOoxRW9xJoRyYDmQ3nImgGOLZBC7zXFiHxydHCORGRpXlkhkr7+ciuluDX2QIlSWjiHvbswSJeLzkiIvGFecbWc01+0+lEPA8LaS4U0vOxSTITnoT4PeYd3588A39naTFoK2SZJS36JJfh9vHlWELDT++A5k5hzwwutD9J0JRkzd+njKQJmk/SNuHMbTHZGnzRo2dAYgPvza9Ls+6c+5qIfO16zmEYOw3zG8PoD/MZw+gf85tbB6tgahiGYRiGYRgDyg3PBrOeK4VWuHCEo9hCXAbCK205Zzidj/Z26ypVpEkSMuEQ/pt0CIdnaKVuLeguWaEohiiFXzzKuckZJUK6twbfJ7XNj+WH5+uuKxzASf5J1sOhGaUwL4fxnWWz2Pb4vieFYlumwSHvkWHKypDhHLXYJ6AwJWc2uevIfZF9ZPIjseu98SoyP7x2HjKBgwexTulDH/nRyD7+5p9H9qsnvhvZl2YpHzPVLFimBBSJDELtmWH083oVkoIKZRZokN0kaVpS44+xyd2QtQT0hBgaxvUunUPmiyZlrlHyaZY9GNsNlSvZYDiLRLUOuxlQP6PiYAlH+1MKSJYeHvTjmSPHR5Fl5cIFSFk4EwSHyRMkodQexfI484Suy0LR7QCWACQUEpQW5ZKulkhaE8b7d0LgNzXej8agVAZ+VxzDsyZFNSCCznl1feUoY8BR+s5IBsLFglhy0kNaO1xArYCA+t5aLT4fabW4QBf6Yi6NOgXNABLHgOQ4SS66FyubQxlWYrKw7llYMtRvC0n0f5ajBXRs4MXvwaNCgEHQPVOgn6QaJZxbnc5bb149baZ5k2EYhmEYhmEMKDZZNwzDMAzDMIwBZWvjvM5FWWA4ROZT+C5eN4jCLCT16FU4yVsnIRl2CC0UQ4Q1EnQyilJKQBlqWhRDaVJS/CSFyanCtAxnSH7iEPa41MCxQdhd4tOz8pGsW0Hd4xCP5DExeZF+/0rsHh+dMaB4vkqu0M4oMUKZGHYVsXreT8B/mpQBppFE3zu8D6XVP/bIz0b2l77wrdj1fuu3/l1kl6rIAvGhD/5QZH/4gz8Q2Y888MnInp+fRpuoqFgugzZNTCIsOr67GNlvZhYimwshVSmLDbenQfU1dk/uid3DBJWWfusCpDwNeoakssjSUVvDsyFdhFRmaj8ejygpZWwHVEPxOgXChsbQz6bfPIN9qECJUPaHkCQqqSz8bH4FBYtOzaBAkojIXffdHtnj1B0XqaAQaytpSIkV0auQZCegSkhKEgCPMifxiTgTmEfayKCBY7lgzfJivCBaIgH5QSIFPzgwigxR43sgvwsT+Azm1lDB3usUgnKyrgiOMeA48b1O/9DYxAh7UD9kaXKDZBwLyw3anwt7xSUkScpwJCTfZbfkjClD2ZHIbtK0aImkaq3uU0ZpcgEikqOlSbIT0jMgR9tbpIMOqJ0icWmc9pAs813HstVQ1inf6yFz42OvuodhGIZhGIZhGDcFm6wbhmEYhmEYxoCypTIYJyTHoJ8JMXFIXAcTwVlieKUthxgytIpfRGS4hTBfmkJyIR1F+fdjCe/DHvKTmCyFwpq5BA4+kMJJ6xQnmanjplsc4nybwgHx69E/xOQs3dvqdV2NbzqY7YSqSCrV/n6zVMAr7SOjkZ+EHqtJUi7xsP99d30ksl9+DrKPb33ti7HrjWYhRxGHDBeZJq53/D/968g+eu+hyD5MhYrKWbRj7wSKGYkghH95Dv7ZdFyEhcKudS5ShLMUR3Gt244cid1DsYhw6XefR1GbhQXcd3YE8oa1WWQCyZPvPnQUhV7+/EtibDNU2n0nQyHtRhNjhKuiTycp20phBDqW+RL2ObOAvnjypXOxa9WLd0V2PgupiHOzaA+NBV4aduDDT2sCqRcXOVKWEFC43oX0jKfxiGUwPK55QpKbKgsFRA6SH42NQzpUpMxTqSR89sISxGGl5is4UbN9bCu8eoYLY3BQDcXTdv8LOR0eF1qkfsgyZZ4vtVgqE+uT8bmHT3+zJK1R437DRf4oYxjJxWKaMs5c41OWNJKKLpXRh2ukjUzQtYZyGI/SVNxLm/F7aLXQDo8/Ms6mQ58ZS5ZTnCVmA/pke7NuGIZhGIZhGAOKTdYNwzAMwzAMY0DZUhmMCoWyKVSitPreo98PDU5G3+KV9CyDwf65ML76PNFCOMVRMvuQVt8HdK4WhWw4kwqHL1sUgixXsZ1y48sYFakZSyHsvxpgpxJlbYnJesJ4aDIWwuSiSLQPS2VYNcPbe2XQMQYcF0rYCSeHtCq/hmi5JOg7b1ThA8XhKWxf2xvZX/qd34nsmcV4qHrXKI65e+8dkZ1P4bzTp1D86OUQK/H9+5A1YoqyRowMU9okReGJUo2eAUnqn2nsk6CsLbwq36OiYlwgrHOyyGxSBqaAMhYUCvDR+96D6y0uYJ9dBYRCje1F2HJSKbUdo1ZHRpY0FT5pNiCLyhSQCSWk/jffRGahmRoKISUakFGJiJy5gGvsG0J4289S2LuI7SOT6FuOQul79+F6vge/GSpgOxeTmZ+DbK1WxkOBM1uo8tgHH8rnyS9FpBVWI3uthP0SJA2bOQtZ2aVFKv6U2k/XaPtj2Lp6hgtjkNBIOsuZhXrksIupbzmbCRcR4rmNt66wV5r8LJnAM5szyNCppFzBGBS0YpplaiDJ3LhYUosK5bGsJ5bdDz7tSC7Gl/I5g42IJKiYU9AiqXWIdqSSuDcu7MeZYdbLn7thb9YNwzAMwzAMY0CxybphGIZhGIZhDChbnA1GJezIP2K/EmjZu6NV7J4glJAWhKf9sPvq5FyAMJ6IiEcrjFs+rsGhCKXADitFak0uBEAhd1phHNA+vBraBQiH5OkjTlEmjFbAYY/echXOFCPr/qUbnDHj6oEVY9BR9SSdaIereTV9s0n9kKQeGSpscmAcxYtOvQa5Srm0HNleZjJ2vVqIUKAnsGeXkBVjuolsK4c+/qORXU+V0G4qkjI5jn5frsGnGxQiXV6Ff6+W4ccNB19aXsSx5y/ORfbYBLK2iIgEys8TKrhGz4riKCQDn/o0Ctp89zso9PLMd5DJw9hehE6lXm/3g2oDfStFYexcEdmOmtRnLlNfXFFIu9ZotHzHIcjKRESKRZJuOfhacTf6ZnoE+/hUdCjnwc92DWN72KLweZ0K9nkY18aK2GfNm4/s0SKeA5ksGr5aRv8eHsU+IiK1JrIi1ddIyuDhfqbnz0b2RfLBSh1+mutcu9mMF8ExBhsVZGjhuQNLcZWzu7AMhvyn5brvs35uw3IZn/ZLUNGiFPnG2F74UovmjDPzlyN7tQZZmK8sr4adIJkkz0RZTcP3wOKdfDbuM5xO0AtwriCgz4P24c+ApZwbwd6sG4ZhGIZhGMaAYpN1wzAMwzAMwxhQtlQGIy4U18nIkPQRW8kHCG9nA4Qg0wFC1YUkQgm0oF84f35T40WR8gWEHJIUWilRMYiVEh/DVSiwf7PF2VbQ7hStJPZJHpPLIFTCq4qzdVoZTVeN5X9x62Qwcb1Q17ZyOCXkJdCxLDNXbBPHbCfyuTH5wAM/LiIilRLC3G+dRRGSgIq7vPvBH4rsQuqhyH76W49H9sgwZCzeuTdi11tZQRgxKwiL7x5GYZnVMrJArK4iC8beMchJnnzqO5Gdy1A2JXrknL0A2czFizhntQQZTItW2NcoNP/SS+cjO0jFQ5N7pnDeehPnHd0FCcQHH9kV2UcfPBDZd9+NjB+/8k+fE2N74nueFIba/WJtCX2gUUXf8ihTl0she1F6GNKXQgL9/qE7743s3eOUpkJEEmtvRfYQZb0YH4LUJj2KPpdIIBOL38D+1TLOW61gbKrW0O5aHVKWIISPplIo9lINZnAthX/cdgcKPmXycb/hjDYNknIuLuC8iRaO2Td6Z2TXG/C5imsXjPLEZDDbDb8z4Wjx/KLLv4u0fazbPgnKqtKgud26qU2sQJmQNJkLRg4P43mcVPhoo4b+edvBd0b24hrGr4V5yBhTHnw9S1lo1OsucXY88aJshZlsPENYvYJni6NshC6W7Y+KRLFEiK7dasWzAHbD3qwbhmEYhmEYxoBik3XDMAzDMAzDGFBssm4YhmEYhmEYA8qWatbT2pIjXltjN+ygR/eapEutUTpEyqVTyFLKrRyaPUPapcS61EBpH79FElTBlA6XCqV0LJOEypG2O0G5e7hiKivyKpRaq0opq0YmoHksNnGi6SouFlLqvZjmXETi2X1idUu7bucqp3wmXS8YM7YF6WRebtvzsIiIlMrQlC4sQqt68Tx05xrcFdlnL2H/KvXPTBY62vEJVCwVEQkozdS+XaiamGxBF7/chO9SEV+pUYq8v/7Wuchuhbje1G3Q6r78Cp1zHprcgBaisG/4lIZx5i06toJriYhMHsRnc/gwnP1T//WRyH74g9BCDo+Qj47ieh94GKnC/vzLYmwjPF8lX2iPGd4qUg8mk6QTpfVEycJEZGcKqMZZpKqjmQJV1159M3a9iRz2e+cUjs9nsD5kjir2Li6i/zYq0HtXaRCqVeEHtQbSrbaEUjSOwwGzI7CXFi/huss4z/Qs+no2Bw2wiEiJKqCmad3V5DjWdEzk4RPlVWjZ61SF9dJq+95Ur67DNQaMzpyLiraLR/MLrlTqsc6atnN6wiZr1tddiit7cupGrhLvGvC5sxfQp5dW4TPvfuA9kX1wCvr1YgFjW5nWe5VL0LUnqQJpi9NH0tyRq9zPL+BYEZGE8HpGmrtS2VPtkWabq7tuimZdVX9dVWdV9RXaNqaq31DVk53/j77dOQxjp2F+Yxj9YT5jGP1jfrMz2IgM5gsi8vF12z4nIt90zt0pIt/s/G0YBviCmN8YRj98QcxnDKNfviDmN7c8V5XBOOceV9XD6zZ/QkQ+0rG/KCLfFpGfv9q5/LAlxUY7JMnyDk6CVQ84fSI1NI2msrxjlcL7nnKtKZEcxTU8Tr/YhJ1J4CI12metQRWsSCqTS8IOeuw/u4Tw4PBu/KAdLSIE6c0j/VaCUkCGrXUhE8clwDjkQpVXe+1OYV4vKiVmcpitYLP8JuEnZNdoO/ScohD+nklIOs6dppSOpyB9WV2CREwpfZRPVRzvvOt9seupw36NElJflVYpRVwOof2AKvGeOn0msk+/eSqyJyfeHdkeVVi9eBYVEFtUfLhegf8oOXsmg7CpR2H3BlVXFRGpUFXHIlWpfOh9qDq5d18xsh1VSr40hzYN74qngjVuLJs51oiIeJ2HoVN0LpchyWAGz+PGEOwSVfxMU3x+NIH+sHsvpCEiIiPUgZs0Js2VEa5frEBmskxVhGt19PcapRUuldCv18oXIjszBB8f2oO+Pr+Ctr70AlKbvvY60ko2qWrk+x44GruHu47cEdnFLNJXjgqqHOfy+JxaPqqZnr7wdGRXOlLMUNcLH4wbwWb5japKoiMLCViWwRJa2pwkGUuj0ehqs5Q5lYEEUkQkkcDxzRpSILJk9+QpSi2cGo7M97zvXZGdTiCdYoH2GduHfltvwj9nL5+M7MU1PO8DGiOTsa6LP4J1XVopxSPPaT2ae/E8sdf8i1M69uJaF5hOOueuCIgui8hkrx1V9WdU9ZiqHquZhM3Y2WzIb9hnlpaWuu1iGDuFaxprVlaWe+1mGDuBvseaUrnebRdjQLjubDCu/ZOg588C59xjzrmjzrmjGb/XXoaxs3g7v2GfGR01qaFhiPQ31oyMFHvtZhg7io2ONYV8utsuxoBwrdlgZlR1yjl3SVWnRGT2qkeISBA6WVhrhxILWczcC3mE5UseV4HioxE+qDc48wr28Lx1mVRIFpOgLCl82iZX5GrivCzNKQf0K4NCe6SOkSaFe2oB/QaiVcFpRH1EqUJqikKtqcQ6KQ99QyMjCCOtUBqO2WWEkGgh9YZCK8aW0rff+AlfRkfbspPcECrDafID2KmFlyYLF/GdlxanIzsTItTeIKmZl4xXMfQc/K9FocNGiL7XbKC/ffvP/yKyd01h9X2+gPOePYUQ/sgwfN2nLFCNKiQCQYMyCLTgidk8/CpFfl+pk4ZGRPJZfAbpDPl0iGuU6yQxWEO2kJdfhWTgey+hCqRx07imsUZFJNmRF07tQ9XOch19f2GFDqCsE5kMVaOmjCZZqhRcmkefEYmH2VMkrQxItLlAspblFUTMalQFkbq7LC0j80StcTmy9xfgQyvLOOdLL5yI7GeeOBPZZaqEev+7IUkLAhqQRMRzeL5kPMhdaqtoVL2KD60suHZImaCSnWN7ZcEwtoRr8psrX1kqhT7WpEqjQaxCOp6znAGGbU+5Smd8flYl6ZhHWciGhpClKIUhQl74HrJ+veM990T2/Q8cxDmXcZ5LM+irTZL1DOXxQz4ISJq2hmicklTUsfx4fZ92NEEj+Q5XJ/WosqnQ8yQIOCPg1av9Xuub9a+KyKMd+1ER+co1nscwdhLmN4bRH+YzhtE/5je3GBtJ3fi7IvK0iNytqhdU9adE5PMi8iOqelJEfrjzt2EYHcxvDKM/zGcMo3/Mb3YGG8kG85ke//TRfi/mnEqtk+0kSyGUdIrCByQJ4QXJLZJ0NEjrUaeiKW5d4Z8WFSfy0pCXpLMI/9Uoi0sLEREJtXtYokphSkpQI8oyG2prq46TDg1BSrC3iIO1hTDJkMYzUOweRlsPH0bhjjX66p48DrnDhTnIHVgEs5Ewi7F5bJbfNJpVOXO5nT73yL4Ho+1HDiAMODuDvnf55KuRnacod7VBoXlard+ssRZApElZVlhFlWcNFy2JX15BZorzdN6JSUhi5qaRmeLVV16P7PEpkr+RJCZkDRqFXZ2PtqWz0FfWFuILo5oVhFfX1uBzp89CjnN5AZ/H/CIydjx/DNkBTh+n8KVxw9nMsabZbMrFy+3n4hvTKKZSq+H91Mo8Bpgjd0MCkg+QXWJtFRlPSjUoCRqleAai0WHIRpI01pSogNilBRy/OE9FWpYgqeFMGrU6FUuqQxITtBDGb7wGOc1zz70c2QtzOI+XgK8sLSHU/+QTyOAiIpLz4SvjQ5QtiSQBtSWSbA5Bfndb8RG0rzPWpL0/EePGs1l+45yToJMtyKMiR77PhZCoWBBN0GKyD5oLefQ+uLVuDqIkEUvQ9QoF9Nf9KeyzNAO/TNQx5xnPYV50Zhb7T1+Ev9VpLlijAklL83g2VCkjzdAuZJXZfxiZn3x/nbSYZKOeB/8JeRDzMG61SGrd75zsuheYGoZhGIZhGIZxY7DJumEYhmEYhmEMKNeaDeaaiX4dsGKFbA6hcNgkJn3hkAZFJZrrogqrVGCCV+hzrYbVOg6q0vFcqKhAxzYowX2JM9HQTRRIP7BEmVrGsgi13r8X9soShTur8ZB+qkUJ/ykceejgeGRXqgjFLKxAAlCOFYyylfnbkWYzkIudcN7+Xfg+k5QmKEX9wqPV5pkUFRKrICzXEoTmq/W4DCa2ot3HeVu0ct1zsHN0jYaw7AwhwRlyuJVV9PWDB/ZH9lwDchqfswmQ7/lp2p6HnY4ng5G5izjX8e/Bn06dgUQsVyCpwhrad/oN3MPquo/G2D4ErUAWOjUKvvdKVIVdps8iND7qj0X2vjyep/V5ZF45ceZYZKcy6PepZLzAy2Iaz/NGgOfxEmWYKFUhd6lW0C/rZJfLXCwJUptWiE5+6eKb2L9CGWrK8GuKtktIRaG+9z18Fhl6boiILN+PDn+lEJuISGUNz47lNZxrWFEczVFWjLW1tv8FDRtzthMqGhX5aZHEhbO7+CR3uVJASSQu6Qio8JYjOQgXEBKJz0mCANdLkBT40Aie2RPvRX+76zaS3ZTgD/Uy/PDUqdcie4Yywyj5Z3kVMrJmAD8sLMA3ilRkb2IinhKWlSxBrKAn7ieXI+ndyrVn6LM364ZhGIZhGIYxoNhk3TAMwzAMwzAGlK2XwXQiBeo4ewr+ncMsdZKcVCiMH1DsoUWhlbUgHnaboQIYIUtZKOy4UCPZDUlZaEF/k/csMwAAIABJREFUrIBT6OEjW16icCeF4jMkoWk00NbFRYR0apTZotxD1iMi0lzAfY+cRRh1cgqrlQ+MISRboIIeaySPWR+CMrYHvp+SXWOHREQkSZIT38f3mc1SsSDquA2SlPmOVqfXV2l7PPuQ+liJn6CV7gmhFe3kG6EgXBhS5hZeNT+UR5GLFhXC2D21L7JXqTDM5YtY6Z+kTFEJOme6gHBnct07h4tnISV46wRlY9qN9uUoVU65gmuUV+nzi380xrZCxXWeeckk/KZZxzO4RfmyqjNvRPZKGf5x7vzxyPapKF0qhewvIiJrq+hnLQrphy2MNS1KN6YsMaNxp1SGhKtaoxB9s042jX/kjGEI3w3Jdx25R0CDbdORVkZE5uaQcaZMY2Sphs/j/MLpyK6cgYMc2L03stXVOu2xDGTbFc5oF/8eu0ubWCqTTOLZyln8muuKInEGmSRJasprkKyMefCHsbFdkV0nWfSFaRTgq9Yg3zp0ENmKlpfg9/MLyAaTpExJWcp4NjyEtt19BOec2I0CayIiZ85C1rkwi7EtpPHWOcqsQ/ccsNzTu/r8zGZwhmEYhmEYhjGg2GTdMAzDMAzDMAaULZXBqDjxOqHHkCJwLBVhWi2SrlDYg8N6LfpjhYupiEhA/1amED1XC6orQhRJOm+CwhjlBq2Mpn3GKSMFhxcvlGHnUzhPUREGPb2IsP9SC19DLh///ZQoIcwSzp+K7L20KLk1hjDQ/9/eucVIcp7n+f27qvo003Pe3Zk974onkZJJiQwZwUkkyFJsOReyIUNwEhgyYMAXhhEZSAALvkqAGFFunNwZFqAARKBYFiDDUhw4EC0QCGXJFM+myRUP4p45p53ZmZ6ePlbXn4vurfet5gx3hhzO9nC+ByD4bU11V9XM/9X/d39vvV8izhudDsuUt2QwWt4yhp8gl0Ol3JN8bEpTllqdf8fVtYtpnAPL1wG2dkMqiJwm57LjIcl00uLrgxx/UAqZM162a07H4Lg/eZyuL1FlMo0//4XfSOMvFrn/n/3Zn6bxxbfY5AmSq7k8ZWCVWbp6AMDaDb5XrUm3jELAMmeirk6s8mckDIA1RTqoOAD5vtQyaHM81BscDxOhzClVlsZXb1CGdX3xShpHLcq5xsayY259je/bbPA+nxOHpEAUBEHE8rvTcakST82neOs8S0RakGRkLeIEJpJT7fXn4uy8e/3q9TT+wQ+eSGNREaHZ5nV25PcKkew02r2EarU4xxkHhHSYbS13UacuL9INde5Tl5hQtifIjreRCp3uAllYra0x/7o1SmKOHOU+tTYlJ51Y1lI15l4QcK759Gc+xfdfEUey0x/h/pGulziex8elqdiadM4EgIRytkpFmvzJpHL92mIaR3mZR0uU1al0aDvsm3XDMAzDMAzDGFJssW4YhmEYhmEYQ8r+ymCcQxT1StlagWtKY6JM756clCmlTOKlRJNI3b41oKZpy89i+VySD6SRi5TDY6kvjkYsuU94fS33qUhjmo8fZxnj5+Lg0s6L60SLZZaNprjEiO3EejN7EZMiOajKU9IvvsBGACP3nUrjZkNcc6R0GuRubTcZzEEi7nawstYrTz//Ep0pqlU6N2xssnxdiCk58TEdU7yUyAvy1LsbGA+xSKe6UjOPE7FGkUYXoeRMXsqimSZc4o6UL9JF460rfNL/t778y2n8+/+OGq8//vp/SePaBpvVlFqUfpXHs5KEyVmWSFsXGcfi+pIfE1mBSF9USZDLmZvFQcV5IN+XUU6WWG6X3j3oSHOUQMr1m21KyapNxoVNvtiDjkMA0GjJmOtkG9ulxwh4L9eJt5BTJw2W0qOYY1wdYDoxnS1U1+IldpKXLtG85EtzA7nfafL3sV4V+Zg4oI0VeE5TUvaPxJEq6O+zE4cLY3jwYJOfaKBh1i26XbXIEjnkO96pR07GfDTgSNfpcB5piOYrBmUnNzZ4Hl4knmEkjY1irovaiewT8jymj9B57F/80qfT+OyZe9LYBZS4/OjHf5PGL792LY0Dn/29FGV9FokT20yZkrnyqDgcijRMHWPMDcYwDMMwDMMwDjC2WDcMwzAMwzCMIWV/myI54Na3/fr0cLPDzwxhJE8bi1OFlyfa9UHlUGUzgw2FpIrdkI8lWTcZ2V+OsRHLTlLSL4rBfSIPBpdZHcRDH+FTyMizBPvSz66mcVVOrhBSllAeeCo4zDQVYHzlJg8eLrME2xDnGi15+m2e7jaGm3w+wolTPWnLwk3KXV545q/T2IOOFXef+GQaF6KH0lhdJlShIv2Nev8WS6RmZ+uc8/Je+mm/KI2a1JcikcZLnQ062ixeY4OVToevuOsjH03jubm70/ipC3S9qW3QvaPV5FP1AHBulrIwv8my49IqXQYgZd683HM2VQfj9r1nnLFH5PMRjh/vNepZqNLZYeQ1yrBi6WTXEtmIF9mW3kRbLZbYBxv+qPNWNte2vu+qxCpJtpYmZvJU5AT6npnXajJm9hFHmnD7Ma2OFNPSgEbvESN5ShRmZihX8yIPXa/3ft+53ODdxRhuPG4tonQsaKwuJ9qYL8nMDxwLoezjBpzHYpHUeHE1KpW4mGonbGy0sMq5Q3OjLprqKOK6aHyMMpOlZUooEfyDnJ/ktzgdXb7EuUbXnkEw6Noic2Eu3HJ7sci5Jid50mrp+jbboGwr7Jt1wzAMwzAMwxhSbLFuGIZhGIZhGEPKPrvBALm+biWUBiexyDu0GpCRbkjdIyelC61YBgMVx5ZISNT1JZQSZElcXyrqZiHNXpxs175Lbfms00xYHpmdYHlwcZWl1vmqPPEsWpwRcYwpDZQpI3GQuVlkCXIlYOm/ucDSVKOjJU8tQ966HpPDHCRKhRE8eNejAIAzcw+k24Mcn4Z/4R/+ZxoXxzgWijk6VrTWOa664oIxmDQ+1lKl5IDkUigleX15rI0xpHTalXK4kwyqFLn9+ed+msbPPvdSGi9eputRLA2OFsUNZ22Z5VEAWJ5hCX+yJOfRZDmyvsZjd6VBTeLkd5PYdxkHlW43QW2jN160SUsk99AkoKxlM2bclhK2FxmMyr8aDd7XB9HjqWQl4waTuc+Lo1mL46/RZElfXTj0tW1x1OjGMjup64vbehy7gblgdJQSoZmZmTSenqSs04trh5buA5GSjfavx2QwBwsHh6DvlNducxxqrGPJy9jW+cHJPpF21Gpnm8x1xVWsKzKynKyHpo6eTuPaBvNB3YoaIlkOXEP2n0/jlXU6KC2v0oWs0+R2nZs64gKVF+mXT7KdN13AOSUr8xH5ssy3ibw+EA33TnpV2mxkGIZhGIZhGEOKLdYNwzAMwzAMY0jZX7sDzydrRQWTKaFkKnNSTsmFmbqevKU8jTvw5H3itakLt3ekvF2QY5ekTDkqTR5GKpSc6MP3zQZLN4URlhDr0jfg0jylCG1tuCIOMD7HUso72mnIfu2yNCGQ5hleJDX69LXforayjTmBMaTESQ2r9acAAM6xHP3PH/tYGs/NfCGNm9L4py2V+p+tsXHEyhVJhgFXi0TK3J1466YNaswUd/UpdvmBOsZIvqqEZnyKcrFjJ8+k8eRlPokfhEymSnksjfMhLy4KsuO8tUkp0KLYQEVy7EKdt75cuSj78Ly7yP5ujINDp93G29d67knzyyyHt2OOp7jNsvrqBsdMXcrWXbmH6vwy6PKi0pRCgWVzzRt9TbYJytbv67ZxdNlOWpOILCXRpkiSf2WxLTsxy0YxAPDwww+n8QMfo+Tu/vvvT+NGnbKBV/7xH+Wc+D7TM0cAZOUDxsHA99dMcby1O0mpxL9pV8aYjueMslJuzV2fvZ+qSCov6xZ1savVKHcZG+P9vyuy5tY68zhuc87ygbqQcR0WizvZxYvM9clxzkeBfI8dybW9w0zJaZ5tLX9TZxiVyqikRqUy22HfrBuGYRiGYRjGkHLbxbpz7pRz7knn3KvOuVecc1/tb59yzj3hnHuj///J272XYRwGLGcMY/dY3hjG7rCcOTzsRAYTA/j33vvnnXMVAM85554A8NsAfui9/7pz7msAvgbgD9/tjRIA7b4epSmuE5E0YgkzZUC+Vh1g4kzpXsvt2afPtWwph8iUKLqia9FGFZMifTl6jOWXtpSHbq6x4UpxhLKUq0ssqc5L442OHMt1WQLJy/a8z5ZXu1Ii7WzTGEMrqi7ZWufCaq7pYPaBPcuZuFvFQvWHAIB6jeX8kdKRND51jqXJIJ5N41aTY7UYUGbyxHefS+NmI+ukUpY6XylSBxmOVy2xb9RZgqzWajyeNIIohKU0VjeOM+c/ksYPP/hYGt93LyU+d93D0uRf/cW30/jlF9nkwsVZGUypIk0oSuKaJI4AHTlXbe5RLsh9xnJlv9mzvGm127h4+RIA4JlX6S600eHf3YkM5vWrbNBVlVlx26ZGA9tVjpKRvkAlYCK9kpJ5Vq6oc5tKEcTZrE2xZFfdWWTvUpFyl7nZuTQ+eoRNZn7hgY9nruGee+7lecv1VUR+cGyO95ea5P7li5SuNVu9c9qJw4XxvtmznPHep7LGrMRl68ZgXkZcTp3nZB0Wd3R9lv1uOBLXl8gzHh/neNM5JdflPseOchxXxnkeKzfo9FIUyU6+LHOCLAZLcg45J25mIj8OQ3W3ya4xZRmHzU2eayzuNtr8SfO7q2vAwu2X4rf9Zt17P++9f74fbwC4AOAEgC8CeLy/2+MAfu22RzOMQ4DljGHsHssbw9gdljOHh11p1p1zZwF8AsDTAI5572991bcA4Ng2r/ld59yzzrln1evcMA4D7zdnVlfqW+1iGB9q3m/eNFrb+6AbxoeR95szm/V32FsYQ8SO3WCcc6MAvgvgD7z3VS2Tee+9yzrC68++AeAbADBZyPlbJed2S8rq6toiVQZd23elOqgPKqtJf36gNFmW0sxoRmojshNxfxiV38ZIIGUgaZgRSW1vZIQl9sU1lgTfepvOG9U636crF6HFFJUVdIPsnyRWRwCVCIkUKPuLd1vH6XnbB6b9Yi9y5qFPPuBnK18CAKwmlK8EIcdeGLBkF3c49trS2OGxT30ujUfL96Tx//72n2eOff2tn8t+lK8cOXKUx5PP+KUplvimpKT41htsZrS+xif6H/3kp9L46OzJNF5ZY5Ojeut6Gs+d5O/sS//2F9N4ZPLlNH7pWUoYAGBSmiIVJygHaFcZV68z51oi8XHaDC00N5g7wV7kzczEtF/Z7OXC6tpyuk+xyPvrqXsoDavXeP++Ob/I/eV+HCcqBRsYG3o/FlljrGNL8iYXSdMUkeO02yLV6jDWknlZpF3Hj7NpzPmzlJXde/fdaXzu3Lk0jkTm1ulkG7zUN/kBxx+RH4gMQh2SvExVN6qUH7T7zZw6sZb/jQ+SvciZE3PjvtHpjQH9FlfNthIvDfFEKqIEsu7wIn3pBlkJiRMXO5VzLa9yLohlbajSMz2/kjS+G5+gK58rbN0MLRKZzuRohcfq0JElL3KXnPzq1A0JALpiM6iOLlGoDn3cX6VhiSxwo2Dr36Wyo2/WnXMRegPhW977v+xvXnTOzfV/PgdgabvXG8Zhw3LGMHaP5Y1h7A7LmcPBTtxgHIBvArjgvf8T+dH3AXylH38FwPf2/vQM4+BhOWMYu8fyxjB2h+XM4WEnMphfBPBbAF52zr3Y3/ZHAL4O4DvOud8BcBnAl2/3RlE+wOyJ3pO+VXFJUa1US0ztE/ks0ZKOQlmXBpYSygNXE6nLgzi95OWp36KUKCrSeCmX8Jya66q74QvawUgav7VAbfF6QyU+8tqtVCkAEvlHN3yXz09SXtXXaFMp7TvgxVlGn+g2PnD2LGfCXAmTI70GJePl+7bcR582v/I2ZSw/feZv0zhf+Ps0Hq1MpfHRu1guB4DnXhLnjGuX0vgz58+n8fTcqTSenKLk5IGHHkzjH/yfv0rjH//oJ2lcmaEzxXMv8FgvX3gxjc+douPE7BE2Zzl1/KE0fvTRu9L45Ny1zDWcO82fBXneFEJx4FDZQrPBXG+0mcfVTTbSePYn/wHGB86e5Q0A3KqyZ1wXpPR++jRlWIUSy+Hd5ymxWrjBLyTXpLFK0s02jYnBErjvaqMUaVLWkoZjLZUA8PziLt/HqQRA5rmxCs/1X37u82n8pV//Uhofn2UOqVRUJ6H6QEm/WqVcbXqaea1l/DDiuU7PUFpw/ATPaWmpl0M56+KyH+xdzjikTX4CuVfmZH0RSTPGSJp/qaNRR5xQuonG2cY/KiXLF/i+zarIwkR6lg95vGKBspFiJNulwV1T8rDe5HqzJPIdXRUFGTdBabrU4vk0W9lnyBK5voyDTJ4SUm0wpTLLKM8E2ajx3rIdt12se+9/hO39/n7ptkcwjEOG5Yxh7B7LG8PYHZYzhwf77GsYhmEYhmEYQ8qO3WD2gnwhj1N3957A31jhE78rC4zXxFWl2RbZhzw5qw0oiiFLDFMu+4R+V037JS5ItaMgH1dCKVG023yvREqThRLLNesi2ak3VZZyu8ZEA9ulHKTNZwDAZRpsSJxRAokMRo6diGzm1uVbo4qDRbvTwZX5XgMgLcctSnn+qb97Mo1fefnVNL5yiY2D2uI4oeOzVKaUCwASaYSUOCbKi6/+LI1//jbdNUpSdlxrsKw+NcUyfJBnmfKHTz6RxvXNpuzDY33uM7+cxo89ciKNL1+/lMavvc7rPzpNOQMA1Ds8pyOjM2l86gT3m5mhFKhQ4P6aM80Gm1x89fdNBnOQ8D5Bq+9Kok4TOZk7tGw9N0d51i88yPyYW+bcdOnqpTReXs4+r1evc6xApI/j4jahcpf6JqVXoct0YeL+4jSh0pqkzdL76tKNNP7JUz/me8q8oQ4wx0QeMzXFHACAUoml+/WVm2m8sU6HqbmTfP14mVKZkRKbl0X5av9STHp5kHAAbpkf6V9OlCgZ+a02SFJJi+bbu8lgdC3SyTRPknWbKpAz2mF1X2LcVrm07D5a4jxXFC++fMj1XBLoOkrXm/xtFIvMZwDw8pvKOb6XGMsgYxzleH6al6OjWaecrbBv1g3DMAzDMAxjSLHFumEYhmEYhmEMKfsqg3G5HKJir9Q2OcuuC4HTJ2T5RHp1g2WWdkfKgFrGF0P8TvYBfXSlpN2SMktL95Njx/HW+wciofEiu7khri/a8EjLfzkpRyZSTwqk2YbGgz2LYmlcoe+rLgPaLEDrV9oHwVszpANJvd7Ci8/2HF4adT7R/soFOlb8zQ/+bxqvLLOhSyRlfpWOaSlz/QbL/ABQDvmzsDyWxguL3O/GCsvikchmygU2pDg6OZnGrSZrgus3q2nclcEaSUOlN994necqOfnK65TivL1AKU4oDaIAYKzC8/jkAx9P48VlSgbKIt/x0uilKtKXRpP3IuNg4b1/R9MfIJsHWq7P51nCnpmmdKogrg4P3H9/Gl++nG3E9fO33kjjdod5WhljI65A7tmFAnPr+CwbG126QjenF154Rq6H53f/PXSFOiPSrnZDXTQ4plXecuXipTR+6fkXMtegUoYTJyg/O3uGTlCFgDKA0gjfN/DcPl7pSWWCHTR6MYYH7xN0Ov2GVl1pfiTdr1pt3h9VopvbJlY5iXODUg9de8l6K6BssiTSkkTWZGHEe/zUOJuzrtfp1rLZFpmO3AtUUh2LA6AXN5iFRc6j09OUiznHMQ8A6xsikRY5pTYC3NRmY7ImnRQZ2uQEZWTbYd+sG4ZhGIZhGMaQYot1wzAMwzAMwxhSbLFuGIZhGIZhGEPKvmrWkyRBs6/fKY5S31MS7U4iNjm5vOhHG9QGtUR0HonW0IVZjZyXDnArN2krt3aT7xWLjirn1OqQr60URdck798UnRWkW6rabKlmS3WRxSKvX/W6fsBbUf+V0X+J3jf7EtOmf5gIczlMjfX0oE0ZJ6NFamGd6OAi0Yk6t/Vn8Zxo8wq5gfEiutq6el853YXvG8rzFuPSWbEgXeVKYptVE+1gV+265FY0NkI9b1466XVaag+mNqZZy9aZCVrKVcSaslajjnBphdZ7q+vsHhfHtBo7d+Y4jIOJg0PYt0ZTDa0+H6T30GaTeu9ajfPOZo0a2Imx8TQ+eZyabgCo1zm2Vlepdz0yw2c3CgUeu9thnqqF24lZWkjGD3wsjfOS+6dOnU1jta27ubq65fmdPXsmjV96kZ2CF+bnM9cQqq2lxFOip92o8lmRQol5Vm8wn65c6z1zonaxxvDj4dMOuiHkOSB5Ji6UucPJGAkCnRO4PU64PR9k9d6K2kDGHc479Q0ee2mez02dmON9fYTLKqxtSB63qBUPZYrYqHH7ZRm3OVmf6fMsywt8Ritx2SXzxDT18rE8t1hv8tksL3NseYS5FMrzXu2Y178d9s26YRiGYRiGYQwptlg3DMMwDMMwjCFlX2Uw3U4X1X5HuEZDOkqNsKRfHmdpLRaLnZaU5HNepCsFltvLEyyfA8hIWapNsU2sSiy7B1JOlwoFxqW71OgEy0NLCUuTVbGna0kXLZUcqIVWKKXPrL1RtuvbdjZIul0ZlNEYB5soijA72yu11cW6MZSOn60mS/Vt6XKaF6lVoSD5JlKZMJftKrfe5NhtN1may0sJ32cstygbUUnainRY7bR5fjq8g1BzQ2RxReb05iZLkJs1dlX0MWVtvpvNhZsrV9L4pTalAWGB5xeLdGhtjTIY7RJcrWZtLY2DgwftdHNiPQexpGuL9W59jeMpUMvfTW5fWqC8pVCU2juA8QrL20Xpcl2Z4FgeqTBeXaLU5spVjtfRUc4R93/sAZ6HyHTa0sFULeacTOcbNc05XvPd99ybxosDXVg1N9fWmTer68yD2S6lYV3RFvhIrPtu/W5y1sH0IOGcQz7q3YedFxljnuuqdotjr15jbpTLsoYrUw5Zb3D/YpGSsN7POL+USxyjSzXej4OA88Lxk7T7bneYD29cvp7GOZFN5kUqunaTY71e5fs3pOv2+ATPb0wkbznJn0KJ7wkA5QrzVefFCVmLqqVjUebhOJa5dgeSMftm3TAMwzAMwzCGFFusG4ZhGIZhGMaQsr8ymDhGdaVXynZVPj1fkQ5Rk8dY6iiMspRQFGmJky6LkZYliuxqBQAtKbN0HUv/hQLjkZxIX7QLlzjDFCLpPAeWTmfl4ealiPu321I2idSJQJ6kzqnDjLrQYFtU4qLd5rbvGKadVIN3bDOGnyAMMDXZy4PRCktokY6rkPGU5FKpyAGqn8rzMvZa9U0o01K+K46yO+LR2aN8L3ny/8rrbzJ+7UIar69TvqIlyEKF5zc+xrKjugm8vXA1jWsig7mxyO0daVfcjbOti5cXLqWxdiednWUJf3SUv8vXXnstjVfFUSPusoRrHCy892n355w4OPiYY39DpC/FiOOsKDKsEZFnqcvX2k2W0gEgzDh68RhxIs5gOqeUmZuFIueUm2uUep05R0eXtnRj7Mq9f32d+88e5f5330u5y1FxmAnlvnHhdeYrALw9fy2Nj00x32M5XkccnOIOr/P43Nk0zuV7v79CYXv3D2P4KORHcP7MJwEAYcD7Y1PkYvNXKTmp3hTXpColmjWmEsplysNarezaIwhFXiNjKRFXlalJnSOYP80Wc/fq1ctp3NjgwfOiZa7KdidrvhOnmTN6rJysF8NQuqgOrM9WVikRq67X5Ce6tBY3HZF+TokLoroDbod9s24YhmEYhmEYQ4ot1g3DMAzDMAxjSNnnpkgetWqvnBeGLOtFkTyhP8mySX6EspaylBadNEepiZf8/NuU1gDA+gafiG/U+BrX1cYY8rSylPu0WUynzXgzYblnVLxkTokzf0dcYlpePg9pYxls3Wjpvbi57Ow1fuD/xkGgE3cwv9aTkVy+xBLk9UVKSz76sUfSOJZy+YaUyBevswHKhozzVpslTgCYKnC8FmL+7IY4YbTkyfXNVZ7Ha1cvch8Zkw0pawbrzMlcjmX3ROQC10Si0pRmGSs3WHLcThIGAF5qlU7yuLrO46nUoTJGB6rzZ+nAMS1lym996zswDg7eJ2j1c0FlgtrspN2mE5LKsLRBUqPJ+732wNN9AKDeknEdccfy2Ewaq8Tq7Sscy+urHOOTk+JoJrfqq1cpAVtfY7m9I0qtfETZSSQuaSrRmTnCMf2Ff/WrmWv4X3/+rTROZK5SydhIXpwtxOlMpmQ8//c/BZB1CzGGnzhOcGOpP6497/1taUIZhBwLhSLHqt6P10USs7LKeafrs98NO3Eli2V9d2OFuTEubitnz55L45lpyqVzp7meq0mDu7xIvtbWmQ/tmOeXbUjJ/Rsy7zQaXFeq+xKQzS3I64tFblennIK6F8p2vS9th32zbhiGYRiGYRhDii3WDcMwDMMwDGNI2XcZTKPfnGhMGg0VxM0in+cptUFpSSNhvW+5zhLk5UWW2hZushQJAFJ9R5KIE4uUydelxDMmTZGOycO5oTwBr+9ZDFm6OVmWp+RFHjPfYtyM9WlolaOom0u2pK+ok8t2sUoCtDR1K7aeSQeLq1eu4Ku/93sAgOXFG+n2ZoulPH3qvSlNHjIOEh2WNbXk1kV2vC3OX5H95DUyrnQUZ3pzyQ8SybFEx6Fsl8pn5j11eyTXptKVgjRpCnPZ21gk/WpOnmMZ9fx9bHThxO3g+NGH0vi+84+mcSwOVCaDOViUSmU89GDv76rOLSqJURmMuhdpwzotVdc2G1vuAwDTo5S7NNpVHk/kNV2Za6ob3Kde5/bT4k5Rb/B4a2s8v40qc1ydOoBLafTWZUrSjh0/xl3EkezsXecz1/CJRx5O4wsXXkljdYPR644kLoibRdyXz3mTXB4oNms1PP30jwEA3Vjd5vh3royx4VFH5peW5JKuO9SRrD4gHdvc5L9b4ugV5fmaJOE9f2mJEpSmOP3pMMs5XauJi5FIOqvrlLXcXNXz1rmQeVIZ5bzRHRjSY3J/mJ6iNKfV4vG0+dEd7RmwAAAIU0lEQVTGBo+9vLycxnr/2Y7bfrPunCs6537qnHvJOfeKc+4/9befc8497Zx70zn3F865/O3eyzAOC5Y3hrE7LGcMY3dYzhwediKDaQH4rPf+QQAPAfgV59w/BfBfAfw37/1dAG4C+J0P7jQN48BheWMYu8NyxjB2h+XMIeG2Mhjfq2ncevw86v/nAXwWwL/pb38cwH8E8Ke3PaLrfT7odFhPCCOW0MbFmP7SEst9V5YpcVleZ+liaZ3yGC9G9kC2BOkCKY90WeKoSWWmKY/AJ1JOmQbLGOPy+TSv8h0x7D9ZZglkfITndHmD778mVRxs08io96Otf7Zdc6Pttr8XlxnjvbNXeVOrVfF3/+9vAQA5aWYkYVp27u0jjb3ErSEzdrQh1+Cw0OGjTbVC/VwvTkkiqcm8NHOu72zONXiugWzPF5hkeXnaPpJzKEgTsvyAJOHEOb7mzEf5Xl3P+0ZVnKJWq6+n8aUrfO38RToZGB88eznXJEmCzX7DL21Gp2NOc6JaVVkKx8bJ06fS+OgxNgrqDjgQlUdZDr82f4n7SQk8k4OSLeNjLLOfOsXjdcS1QnO/UqEUYaTM6xkZoztHIscanaDDWliU3Cplv2x9+LF/ksaxzHkn5tgcrTLN+RmSm4WIsrJT58/2fpy3L3M/aPYyZ8IwxMx0T84Vy31dx1523Ua5SjfJbbl/IA2Fglx2spmY4Dj2kpflMrcXI20EKPK0EcpjbqxQTpJp8reNDEbUnaiKY1FXHMnGKsyZtkiCxsdl/ANYkyZmrRbXol2RPG9u8hiZ34D8Y3x8HLdjRw+YOucC59yLAJYAPAHg5wDWvE/9fa4BOLHNa3/XOfesc+7Z1u3daQzjQ8N7zRvNGfuMZRwm9mquacgzHYbxYWbPcqZpHZuHmR0t1r33Xe/9QwBOAngUwH07PYD3/hve+0e8948UgtvvbxgfFt5r3mjObFMoMYwPJXs115Ss1b1xSNiznClGt3+BccfYlRuM937NOfckgE8BmHDOhf1PbycBXH/3V/e+9e/0v12PpGxSktJCWZ687Szw25GLCyxNbspX9OrOMliadFJncCoPcIwjKdXJA82Yb/Afm9IU6SQrNCiNcnB3tWlTh689Pcn3j8Sk/40Vxhst+fp0YHGm7+u3qaFsL3FxO9jH+KB5P3mTczmU++VqdVjRv6eW+TMNtrLnIPG7nKseI+MUI2WxHXyA0A8ZGblLoDHPO4qYS2Eo8h25ipyUKQsifZmYyd7GRsakGcYqa543V3kP6Yg7zuY6nTPmr7ydxs0ly5k7xfuda5qNBi688ioAIJbOQaUS5SotcadQKVlB5oQwCLeMW62s89jSEpuDtdQlI2Ec5GU+kjw4Mk23ltm542m8vsbmMMUC5QCBuHOUiiKJGZW4IAuvLq8/EXlD3FEnGeDINJuDffbTn+a5yhzUkm9fa5tszlSq8Pd66uQZAEA+T6mC8cHzfnMmDAuYmen97XI53vvV9acpayF1PAlE+tKWfFMZTHHgA3Qk46NQkmZLBY6l+eu8H88v8RLiLtdYieRbADkncRbMSzOvkjQmKolMOSyIDLor0k1xEhyriE0gAN/lNem8Wh7hfrPH2IhMXXaUkcroltuVnbjBHHHOTfTjEoDPA7gA4EkAv9Hf7SsAvnfboxnGIcHyxjB2h+WMYewOy5nDw06+WZ8D8LhzLkBvcf8d7/1fO+deBfBt59x/BvACgG9+gOdpGAcNyxvD2B2WM4axOyxnDgluP+URzrllAJsAbtxu3w8ZMxieaz7jvT9y+92MYaCfM5cxXGNovxima7a8OUDYXDMUWM4cIGyuGZpr3jJv9nWxDgA9hwv/yL4e9A5zGK/Z2FsO4xg6jNds7B2Hcfwcxms29pbDOIYOwjXvyA3GMAzDMAzDMIz9xxbrhmEYhmEYhjGk3InF+jfuwDHvNIfxmo295TCOocN4zcbecRjHz2G8ZmNvOYxjaOived8164ZhGIZhGIZh7AyTwRiGYRiGYRjGkGKLdcMwDMMwDMMYUvZ1se6c+xXn3GvOuTedc1/bz2PvF865U865J51zrzrnXnHOfbW/fco594Rz7o3+/yfv9Lkaw4/ljOWMsXssbyxvjN1hOTPcObNvmvV+h63X0WuHew3AMwD+tff+1X05gX3COTcHYM57/7xzrgLgOQC/BuC3Aax677/eT4RJ7/0f3sFTNYYcyxnLGWP3WN5Y3hi7w3Jm+HNmP79ZfxTAm977t7z3bQDfBvDFfTz+vuC9n/feP9+PNwBcAHACvWt9vL/b4+gNEMN4NyxnLGeM3WN5Y3lj7A7LmSHPmf1crJ8AcFX+fa2/7UOLc+4sgE8AeBrAMe/9fP9HCwCO3aHTMg4OljOWM8busbyxvDF2h+XMkOeMPWD6AeGcGwXwXQB/4L2v6s98T3tknpmGIVjOGMbusbwxjN1xEHNmPxfr1wGckn+f7G/70OGci9AbCN/y3v9lf/NiXy91Sze1dKfOzzgwWM5Yzhi7x/LG8sbYHZYzQ54z+7lYfwbA3c65c865PIDfBPD9fTz+vuCccwC+CeCC9/5P5EffB/CVfvwVAN/b73MzDhyWM5Yzxu6xvLG8MXaH5cyQ58y+djB1zv0qgP8OIADwP7z3f7xvB98nnHP/DMBTAF4GkPQ3/xF6uqjvADgN4DKAL3vvV+/ISRoHBssZyxlj91jeWN4Yu8NyZrhzZl8X64ZhGIZhGIZh7Bx7wNQwDMMwDMMwhhRbrBuGYRiGYRjGkGKLdcMwDMMwDMMYUmyxbhiGYRiGYRhDii3WDcMwDMMwDGNIscW6YRiGYRiGYQwptlg3DMMwDMMwjCHl/wPvzXfB1PYswAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x576 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 재연성을 위하여 랜덤시드 고정\n",
    "np.random.seed(1234) \n",
    "\n",
    "# random 함수를 통해서 임의의 16개 데이터 가져오기\n",
    "samples = np.random.randint(0,len(X_train)+1,size=16)\n",
    "\n",
    "# MNIST를 그릴 Figure 준비\n",
    "plt.figure(figsize=(12,8))\n",
    "\n",
    "# 16개의 이미지 시각화\n",
    "for count, n in enumerate(samples,start=1):\n",
    "    plt.subplot(4, 4, count)\n",
    "    plt.imshow(X_train[n], interpolation='nearest')\n",
    "    label_name = \"Label:\" + str(CIFAR10_CLASSES[y_train[n][0]])\n",
    "    plt.title(label_name)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:43.312118Z",
     "start_time": "2019-11-09T07:17:43.157305Z"
    }
   },
   "outputs": [],
   "source": [
    "# 데이터 크기 조정(Data Reshape)\n",
    "X_train = X_train.reshape(X_train.shape[0],32,32,3)\n",
    "X_valid = X_valid.reshape(X_valid.shape[0],32,32,3)\n",
    "X_test = X_test.reshape(X_test.shape[0],32,32,3)\n",
    "\n",
    "# 데이터 포맷 바꾸기\n",
    "# 정수(int)인 데이터에서 실수(float)으로 변환\n",
    "X_train = X_train.astype('float32')\n",
    "X_valid = X_valid.astype('float32')\n",
    "X_test = X_test.astype('float32')\n",
    "\n",
    "# 데이터 정규화(Data Regularization)\n",
    "# 이 과정을 통해서 추후 학습할 신경망이 조금 더 학습이 원할히 될 수 있게함\n",
    "X_train = X_train / 255\n",
    "X_valid = X_valid / 255\n",
    "X_test = X_test / 255\n",
    "\n",
    "# 원-핫 인코딩(One Hot Encoding)\n",
    "# Keras의 to_categorical함수를 통해서 모든 Train 데이터의 레이블을 벡터화(Vectorize)\n",
    "# ex) [3] -> [0 0 0 1 0 0 0 0 0 0]\n",
    "y_train = to_categorical(y_train, 10) \n",
    "y_valid = to_categorical(y_valid,10)\n",
    "y_test = to_categorical(y_test, 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 데이터 늘리기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:43.373557Z",
     "start_time": "2019-11-09T07:17:43.313198Z"
    }
   },
   "outputs": [],
   "source": [
    "datagen = ImageDataGenerator(\n",
    "    rotation_range=15,\n",
    "    width_shift_range=0.1,\n",
    "    height_shift_range=0.1,\n",
    "    horizontal_flip=True,\n",
    ")\n",
    "\n",
    "datagen.fit(X_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 모델링"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 모델 생성"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:43.376145Z",
     "start_time": "2019-11-09T07:17:43.374476Z"
    }
   },
   "outputs": [],
   "source": [
    "# CIFAR-10의 이미지 형태\n",
    "INPUT_SHAPE = (32, 32, 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 전체적인 모델 구성"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:43.799563Z",
     "start_time": "2019-11-09T07:17:43.377140Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /home/minsuk/anaconda3/envs/keras/lib/python3.6/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n"
     ]
    }
   ],
   "source": [
    "weight_decay = 1e-4\n",
    "\n",
    "model = Sequential()\n",
    "\n",
    "model.add(Conv2D(32, \n",
    "                 (3, 3), \n",
    "                 padding='same',\n",
    "                 kernel_regularizer=l2(weight_decay),\n",
    "                 input_shape=(32, 32, 3),\n",
    "                 activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "\n",
    "model.add(Conv2D(32,\n",
    "                 (3, 3),\n",
    "                 padding='same',\n",
    "                 kernel_regularizer=l2(weight_decay),\n",
    "                 activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "model.add(Dropout(0.2))\n",
    "\n",
    "model.add(Conv2D(64,\n",
    "                 (3, 3),\n",
    "                 padding='same',\n",
    "                 kernel_regularizer=l2(weight_decay),\n",
    "                 activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Conv2D(64, \n",
    "                 (3, 3),\n",
    "                 padding='same',\n",
    "                 kernel_regularizer=l2(weight_decay),\n",
    "                 activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "model.add(Dropout(0.3))\n",
    "\n",
    "model.add(Conv2D(128, \n",
    "                 (3, 3),\n",
    "                 padding='same',\n",
    "                 kernel_regularizer=l2(weight_decay),\n",
    "                 activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "model.add(Conv2D(128, \n",
    "                 (3, 3),\n",
    "                 padding='same',\n",
    "                 kernel_regularizer=l2(weight_decay),\n",
    "                 activation='relu'))\n",
    "model.add(BatchNormalization())\n",
    "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "model.add(Dropout(0.4))\n",
    "\n",
    "model.add(Flatten())\n",
    "\n",
    "model.add(Dense(len(CIFAR10_CLASSES), activation='softmax')) # 분류할 FC Layer 추가"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 모델 컴파일"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:43.884761Z",
     "start_time": "2019-11-09T07:17:43.801683Z"
    }
   },
   "outputs": [],
   "source": [
    "model.compile(loss=categorical_crossentropy, \n",
    "              optimizer=RMSprop(learning_rate=0.0001), \n",
    "              metrics=['acc'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 모델 확인하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:44.018731Z",
     "start_time": "2019-11-09T07:17:43.885965Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d (Conv2D)              (None, 32, 32, 32)        896       \n",
      "_________________________________________________________________\n",
      "batch_normalization (BatchNo (None, 32, 32, 32)        128       \n",
      "_________________________________________________________________\n",
      "conv2d_1 (Conv2D)            (None, 32, 32, 32)        9248      \n",
      "_________________________________________________________________\n",
      "batch_normalization_1 (Batch (None, 32, 32, 32)        128       \n",
      "_________________________________________________________________\n",
      "max_pooling2d (MaxPooling2D) (None, 16, 16, 32)        0         \n",
      "_________________________________________________________________\n",
      "dropout (Dropout)            (None, 16, 16, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 16, 16, 64)        18496     \n",
      "_________________________________________________________________\n",
      "batch_normalization_2 (Batch (None, 16, 16, 64)        256       \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 16, 16, 64)        36928     \n",
      "_________________________________________________________________\n",
      "batch_normalization_3 (Batch (None, 16, 16, 64)        256       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 8, 8, 64)          0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 8, 8, 64)          0         \n",
      "_________________________________________________________________\n",
      "conv2d_4 (Conv2D)            (None, 8, 8, 128)         73856     \n",
      "_________________________________________________________________\n",
      "batch_normalization_4 (Batch (None, 8, 8, 128)         512       \n",
      "_________________________________________________________________\n",
      "conv2d_5 (Conv2D)            (None, 8, 8, 128)         147584    \n",
      "_________________________________________________________________\n",
      "batch_normalization_5 (Batch (None, 8, 8, 128)         512       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 4, 4, 128)         0         \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 4, 4, 128)         0         \n",
      "_________________________________________________________________\n",
      "flatten (Flatten)            (None, 2048)              0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 10)                20490     \n",
      "=================================================================\n",
      "Total params: 309,290\n",
      "Trainable params: 308,394\n",
      "Non-trainable params: 896\n",
      "_________________________________________________________________\n"
     ]
    },
    {
     "data": {
      "image/png": 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PjxcA8s9//lMt+/nnn2XixImPjC81NVVsbW3lzJkzIiJSVVUlAwYMkOnTp6v7XLp0SWxsbBo9S+zPP/+sN+OwsfOorq6WlJQUsbW1FQAye/ZsOXHihGzfvl0cHBwEgKSmpoqIiIeHh0E8D5ehjtmO9+zZIx06dJB9+/YZjf/hmXEtIf76yh/24osvioeHh4jUfg4dHR1Fo9Go2//yl78IADl37pxa9vPPP8uYMWPUn6dPny4XLlxQf/b19ZUuXbrIrVu39GYzXr58uRw+fFimTZumN1t2fdDMmb6fBJxpmcyJnz/jmDDVo7EfoNWrVwsAuXjxolpWVVUlmzZtkjt37siiRYsEgOTm5uodt2XLFgEgERERIiLSq1cvgy/YLl26SPv27dWfKyoqpFu3buLv76+WxcTEyNmzZ+uMraqqSnx8fOSLL75QyxISEgSAnD9/Xm9fT0/PRidMIoZf7g05D11bJSUlapluWYXx48eLSN3T/D9c9qjEoqqqqkGx19WGJcTf0IRp9erV6ntbU1MjHh4e0q5dO3V7QUGBODg46CXHy5cvl5SUFBEROX36dJ1LOwBQ99Fdj9u3bxuNp67z4Isvviz7xYSpfhzDZELHjx8HALzwwgtqmbW1NUJDQwEAqampAGDwOKhuRXDdY+O6rpoHOTk56c3Y265dO4SFhWHhwoXIysqCm5sbLl68CG9v7zpj++CDDzB06FCMHz9eLfv6668BAN27d9fb18rKND21DTkPXVsPTqrn7++PuXPnIjMzs9kxWFtbN/lYS4i/oebNm4eSkhJ8/PHHuH37NsrLy1FZWalu79ixI2bPno2PPvoIixcvRteuXXHkyBH1cfPvvvsOGo1G7cari+56ODk5NSnGuXPn4rXXXmvSsU8C3RImDy+AS9Qa2tISOubChMmEdF+kmZmZeOWVVwy2675cs7Oz8dJLL6nlurFGjZ0octq0aVi8eDESEhLw2muvISAgoM79UlJSYGdnp05qpnPt2jUAQEFBAZ5//vlGtd2SunbtCgBwc3MzcyRN05rx37x5E05OTjh79iyCgoLw8ccf4+2338a2bdsM9p0/fz7+9re/Ye3atQgKCsJvf/tbNaEsKChAVlYWSktLDWaErqmpMUkS/dprr5llLbm2QreGF68RmQPXkDOOg75NSJck6SbL07ly5Qr++c9/qneS9u/fr3ecbibiYcOGNaq9Z555BtOmTcPGjRuRmJiIMWPGGOxz6NAh5OTkGCRLp06dgpeXV53xmFtBQQGAX66H7s5GRUUFAEBEUFRUpHeMoih1rp9kjifPTBm/MW+//Tasra0xefJkVFZWYsSIEQBqk5yHderUCbNmzcKnn36Kv/3tb/jTn/6kbvPy8kJpaanBDMHnz59/5LxdRERPEiZMJhQVFQU7Ozvs3LkTw4YNw8cff4z3338fy5cvx4gRIxAREQGNRoP4+Hjk5eWpx2m1WgwcOFCdG+n+/fsGdRcXFwMwXFRxzpw5uHfvHvr27QsbG/0bhkeOHMGKFStQXV0NrVYLrVaLhIQEzJ8/HwcOHMDChQthY2OD9957DwcPHkRZWRmOHTuG69evA6i9E9ZQ9+7dA1D7FKBOY87jwcTm8OHD6NevH2bOnAkAamK3dOlS/PTTT4iLi1MXGz148CBqamrg4eGB3NxcNfkEahNBR0dHfPXVV0bjLy0t1fvXEuLPzc1V25SHlr+4e/cuZs6ciaeffhqKoiA3NxfXrl3DoUOHsH37dvXptX/96196E2KGh4ejoqICP//8Mzw8PNTy0aNHo0ePHliyZAmmTp2K7du3IyYmBnPnzsWUKVP0rkdjn6IkInosmHcIlWVrylMD//nPf2T48OHi5OQkzz//vMydO1eKiorU7cXFxRIRESG+vr4SHh4uERERsmTJEikvLxcREa1Wqw7AW7p0qRQVFamDiAFIVFSUlJWV6bU5d+5cKSgo0Ct78Kmmh1+KosilS5dEROTEiRMycOBAcXBwkB49esiKFStkyJAh8uc//1mOHDki1dXVRs+5pKREoqOj1fpXr14tK1asaNB56AY/f/TRR3Lr1i3Jz8+XFStW6D19lZGRIQMGDBA7Ozvx9fWVjIwMGTx4sISEhMiOHTukvLxcoqOjxdXVVXbt2qUed+jQIenatascPXr0kbF/++23EhUVpcY1adIk2bNnT4Pfh5aK/+jRozJ69Gi1PS8vL3njjTfkjTfekF69ekn79u0FgPz9739XPzfPPvus/Pa3v5W0tDSJi4sTJycnGT16tMFnY9SoUfKPf/zD4FpkZ2eLv7+/dOzYUVxcXGTGjBly8+ZNKSkpkSVLlqixzJgx45EPFzwKwKfkjOFTSmRO/PwZp4jUs3LjEy4wMBAA+3ZbUu/evXHhwoV6FxC1ZG0t/tLSUrzyyiv497//3aoziCuKgsTERI7PqQf/3pA58fNnHLvkqF66xV/re128eNHcYVIDabVazJ49m8utEBE1Ep+So3q19J0T3XiYkpIS2NnZtWhbLaEtxH/69GnMmDEDpaWlqK6uxoULF8wdEhFRm8M7TGQWJSUlWLRokTrIec6cOUhLSzNzVA3XluK3s7PD3bt3YWVlhe3bt+Opp54yd0hkQoqiwNraGpGRkVi5cqXB/F+ZmZlYtWoVkpKS4O3tDUVRoNFoUFZWprffkSNHMGLECCiKgv79+yMpKak1T6NR0tPT8dZbb6Fz585wdnbGhAkT1IckdDZs2IC+ffvCwcEB3t7e2LRp02PRXnV1NaKiotRpYXQyMzOxcuVKzJkzR737TyZm1hFUFo6D4IhMA2Yc9H316tU2UXdT/94AkJ49e9a57fjx4zJx4kSpqKgQEZGioiK9wfsPy87OFkB/tQJLk56eLmPGjJHdu3fL2bNnJSQkRADI0KFD1X2ioqIkODhYtFqthIWFqUsYxcfHPxbt3b59W8aOHStZWVl11tG9e3dp7Nc7v++MY8JUD36AiEzDXAnT5cuXZfDgwW2i7uYkTHUtn5Oeni7dunUzeEoSgAwZMqTO96SyslIAqAmWJYqLi5PS0lL1Z93aifb29iJSm8ROmjRJ75iDBw/Wm1i2pfZ0fvjhB9FoNHWu51jXckzG8PvOOHbJEdFj6dq1axg1ahRu3rzZpuo2BRFBcHAwpkyZgo4dOxpsT0xMhKurK6ZPn47Lly+r5bq53Nq1a9dqsTbWnDlzDB5aqKqqwtSpUwHUThS8atUqve2+vr5wdnZGfn5+m29P5+WXX4aHh4e6vBG1PCZMRGRx7t69i8jISERHRyM8PBzDhw9HeHi4OiHnunXrYGVlpY7TKC4uxurVq/XKNm/ejHPnziEvLw+zZs0CAKSlpWHBggVwd3fHjRs3EBAQgE6dOqFPnz5ITk5uVt0AcOzYMbi5ueHEiROtc6EeYe/evThz5ow68/vDXFxckJSUhNLSUgQFBemtO/gwY+/F3r17MXPmTLi5uaGwsBChoaHo3Lkz+vTpg++//16t5/79+/jwww8xbdo09O/fH2+++SZ+/PHHZp/r+++/j7Vr12Lt2rUAgIEDB6rLTT2ooqICgwcPbvPtPWj48OFYt24dsrKymt0ONYC5b3FZMt6iJDINNKJLrri4WDw9PWXx4sVqWX5+vnh6ekqPHj2ksLBQREQ8PDwMuh0eLsMD3VXV1dWSkpKiji+ZPXu2nDhxQrZv3y4ODg4CQFJTU5tUt86ePXukQ4cOsm/fvgad64NM2SU3YcIEURRFKisr69xfZ82aNQJAFixYUOf2hrwXOTk5Ym9vLwAkNjZWrly5Ilu3bhUAMmDAAPW46dOny4ULF9SffX19pUuXLnL37t1Gn7OIyO7du9WuRXd3d1m/fv0j901NTRVbW1s5c+ZMk9qy1PbOnj0rAGT58uV65eySaxlMmOrBDxCRaTQmYVq0aJEAkNzcXL3yLVu2CACJiIgQkbq/FB4uqyuZ8PT0FABSUlKilulmcR8/fnyz6hYRqaqqatB5PsyUCVP37t3F0dHxkfs/aNy4caIoiuzfv99ge0Pfi169ehnU26VLF2nfvr2IiJw+fbrOVQcASEpKSqPPWUTkzp07kp6eLgkJCeqqBps3bzbYr6qqSnx8fOSLL75oUjuW3N7169cFgPj5+emVM2FqGeySIyKLkpqaCgBwcHDQK9ctXn3y5Mlm1W9lVftnr0OHDmqZv78/ABg8kt8U1tbWza6jufLy8uDk5NSgfTds2AAvLy+Ehoaq60jqNPS9qOsRdicnJ3XNxO+++w4ajQZS+590vdfIkSMbd3L/x9HREb1798Y777yDzz77DACwZcsWg/0++OADDB06FOPHj29SO5bcnqOjIwDgxo0bzWqLGoYJExFZFF1C8/Diz7pxIs8++6zJ2+zatSsAwM3NzeR1m4O1tbXegtD1sbe3R3JyMsrKyhAcHKy3zVTvRUFBAbKysvQWt9apqalpUB31GT16NAAYzDGWkpICOzs7xMTENLsNS2yPcy21LiZMRGRRdHcv9u/fr1eumyR02LBhAH75sqioqABQ+2RYUVGR3jGKoqCqqspomwUFBSaru6GJSktydXVVB2U/SJecPJykeHl5YePGjTh27JheeUPfC2O8vLxQWlqKlStX6pWfP38eCQkJDaqjPrpJHf38/NSyQ4cOIScnB5GRkXr7njp16rFoDwDu3LkDoHYQP7U8JkxEZFEiIiKg0WgQHx+PvLw8tVyr1WLgwIF49913AdR+CQPA0qVL8dNPPyEuLk7tAjp48CBqamrg4eGB3Nxc9Qv+QQ8mNocPH0a/fv0wc+bMZtW9f/9+ODo64quvvjLlJWk0Hx8fFBcX4969e3rlusfc6+rCCQwMxLx58/TKGvpe3L9/36C+4uJiALWPxI8ePRo9evTAkiVLMHXqVGzfvh0xMTGYO3cupkyZAgBYtWoVXnrpJezYsaPec1uzZg02btyoJrDl5eWIjIxEUFCQGs+RI0ewYsUKVFdXQ6vVQqvVIiEhAfPnz8eBAwfafHs6t27dAgAMGjSo3jrJRMw4fsricRAckWmgkRNXFhcXS0REhPj6+kp4eLhERETIkiVLpLy8XN0nIyNDBgwYIHZ2duLr6ysZGRkyePBgCQkJkR07dkh5eblER0eLq6ur7Nq1Sz1ONyD2o48+klu3bkl+fr6sWLFCbwLAptZ96NAh6dq1qxw9erTR18iUg76/+eYbASBff/21WpacnCx+fn4CQEaNGiXffvutQV2VlZUyaNAgvTJj74VWq1UHcC9dulSKiorUQfQAJCoqSsrKyiQ7O1v8/f2lY8eO4uLiIjNmzJCbN2+q7bz99ttiZWUlzz//fL3nu3jxYunZs6c4OTnJrFmzJCwsTA4fPqxuP3nypDpI+uGXoihy6dKlNt3egz755BOxtrZW29DhoO+WoYi08OqqbVhgYCAAYOfOnWaOhKhtUxQFiYmJGDdunLlDQe/evXHhwoUWX1i6sZr690ZRFHh5eeH8+fN65SNHjoSnpyfWrFljshhbWkZGBiZPntxq6zK29fb8/f3h4uKCzz//XK+8KZ9xft8Zxy45IqI2Ttdd+KBNmzbhwIEDbeYJqtLSUsTHx2P9+vVsrwFOnz6NjIwMg1nGATRo3B41no25AyAiak0lJSXqv3Z2dmaOxjQuX76MsLAwdO3aFWPHjsWLL76I5557Drt27cK8efOwfv16vWkULFFWVhaWLVtmMIUB2zOUm5uL2NhYHD58WK0vMzMTycnJuH37Ni5dutTsNsgQEyYieiKUlJRg2bJl6iDtOXPmYPr06Xj11VfNHFnz1NftotFoEBsbC61Wa/Frjmk0GrbXAFVVVdiyZQu2bduml3y9+OKL6hN6Dz+NSKbBhImIngh2dnaIjY1FbGysuUNpVe7u7hafLFHD2djYGExdQK2DY5iIiIiIjGDCRERERGQEEyYiIiIiI5gwERERERnBQd9G5OTkICkpydxhELV5plhT63GWk5MDAPx7Q2aRk5ODF154wdxhWMlUWBkAACAASURBVDTO9F2PwMBAfPnll+YOg4iIqMUFBARwpu96MGEiIouiWz6Fd1qIyJJwDBMRERGREUyYiIiIiIxgwkRERERkBBMmIiIiIiOYMBEREREZwYSJiIiIyAgmTERERERGMGEiIiIiMoIJExEREZERTJiIiIiIjGDCRERERGQEEyYiIiIiI5gwERERERnBhImIiIjICCZMREREREYwYSIiIiIyggkTERERkRFMmIiIiIiMYMJEREREZAQTJiIiIiIjmDARERERGcGEiYiIiMgIJkxERERERjBhIiIiIjKCCRMRERGREUyYiIiIiIxgwkRERERkBBMmIiIiIiOYMBEREREZwYSJiIiIyAgmTERERERGMGEiIiIiMoIJExEREZERioiIuYMgoifTtm3bsGHDBtTU1Khlly9fBgC4u7urZVZWVpg6dSomTZrU6jESEQFMmIjIjP7973/jlVdeadC+P/zwA15++eUWjoiIqG5MmIjIrLy8vHDx4sV69+nZsycyMzNbKSIiIkMcw0REZhUSEoJ27do9cnu7du0wZcqUVoyIiMgQ7zARkVllZWWhZ8+eqO9PUWZmJnr27NmKURER6eMdJiIyqx49euA3v/kNFEUx2KYoCv7rv/6LyRIRmR0TJiIyu8mTJ8Pa2tqg3NraGpMnTzZDRERE+tglR0Rml5+fD1dXV73pBYDa6QSuX7+OLl26mCkyIqJavMNERGb33HPPwcfHR+8uk7W1NV5//XUmS0RkEZgwEZFFCAkJMRj4HRISYqZoiIj0sUuOiCzC3bt34ezsjIqKCgC10wnk5+fD0dHRzJEREfEOExFZiGeeeQYjRoyAjY0NbGxs4Ofnx2SJiCwGEyYishjBwcGorq5GdXU1140jIovCLjkishj3799H586dISK4desWbG1tzR0SEREAJkwWLykpCUFBQeYOg4iIWlBiYiLGjRtn7jCoHjbmDoAaJjEx0dwhUBu3Zs0aAMC8efPMHEn9/vd//xeKouCVV15p9bZPnTqFtWvX8veNWhX/U9w2MGFqI/g/D2qunTt3ArD8z9LYsWMBADY25vnztHbtWou/RvR4YcLUNjBhIiKLYq5EiYioPnxKjoiIiMgIJkxERERERjBhIiIiIjKCCRMRERGREUyYiIiIiIxgwkREjfLqq68iIiLC3GG0GZmZmVi1ahWSkpLg7e0NRVGg0WhQVlamt9+RI0cwYsQIKIqC/v37IykpyUwRG5eeno633noLnTt3hrOzMyZMmIDc3Fy9fTZs2IC+ffvCwcEB3t7e2LRp02PRXnV1NaKionDt2rUm109tlJBFS0xMFL5NZAoBAQESEBDQ7HrGjx8vMTExJoioaa5evdpidZv69+348eMyceJEqaioEBGRoqIiASAAZMaMGQb7Z2dnCwC5ePGiyWIwtfT0dBkzZozs3r1bzp49KyEhIQJAhg4dqu4TFRUlwcHBotVqJSwsTGxtbQWAxMfHPxbt3b59W8aOHStZWVmNrr8uACQxMdEkdVHL4TexhWPCRKZiqoTJnC5fviyDBw9usfpN+fuWnp4u3bp1k4KCAr1yADJkyJA6vyQrKysFgJpgWaK4uDgpLS1Vf66srBRHR0ext7cXkdqEdtKkSXrHHDx4UABIz54923x7Oj/88INoNBq5d+9eo9t4GBOmtoFdckTUJly7dg2jRo3CzZs3zR2KUSKC4OBgTJkyBR07djTYnpiYCFdXV0yfPh2XL19Wy3WTdrZr167VYm2sOXPmGCyKXFVVhalTpwIArly5glWrVult9/X1hbOzM/Lz89t8ezovv/wyPDw8sHDhwka3QW0TEyYiapCamhrs3LkToaGh8PHxAQDs3bsXM2fOhJubGwoLCxEaGorOnTujT58++P777wEAaWlpWLBgAdzd3XHjxg0EBASgU6dO6NOnD5KTkwEA69atg5WVFRRFAQAUFxdj9erVemWbN2/GuXPnkJeXh1mzZqlxHTt2DG5ubjhx4kRrXo567d27F2fOnMGIESPq3O7i4oKkpCSUlpYiKCgIlZWVj6zr7t27iIyMRHR0NMLDwzF8+HCEh4ejsLBQbcvYewAA9+/fx4cffohp06ahf//+ePPNN/Hjjz82+1zff/99rF27FmvXrgUADBw4EF26dDHYr6KiAoMHD27z7T1o+PDhWLduHbKysprdDrUB5r7FRfVjlxyZiim65H7++WcBIF5eXiIikpOTI/b29gJAYmNj5cqVK7J161YBIAMGDJDq6mpJSUlRx5TMnj1bTpw4Idu3bxcHBwcBIKmpqSIi4uHhYfBZf7jswbZ19uzZIx06dJB9+/Y169xETPf7NmHCBFEURSorKw22PVj/mjVrBIAsWLCgzu3FxcXi6ekpixcvVsvy8/PF09NTevToIYWFhUbfA53p06fLhQsX1J99fX2lS5cucvfu3Sad4+7du9WuRXd3d1m/fv0j901NTRVbW1s5c+ZMk9qy1PbOnj0rAGT58uVNbkeEXXJtBb+JLRwTJjIVU41hejhp6dWrl8FntEuXLtK+fXv1Z09PTwEgJSUlatnatWsFgIwfP15ERLy8vAzqebisroRJRKSqqqp5J/V/TPX71r17d3F0dKxz28P1jxs3ThRFkf379xtsX7RokQCQ3NxcvWO2bNkiACQiIkJEjL8Hp0+fVgebP/xKSUlp0jneuXNH0tPTJSEhQTp06CAAZPPmzQb7VVVViY+Pj3zxxRdNaseS27t+/boAED8/v2a1xYSpbWCXHBE1i67L7EFOTk4oLy9Xf7ayqv1T06FDB7XM398fQO1j981lbW3d7DpMKS8vD05OTg3ad8OGDfDy8kJoaCiuX7+uty01NRUA4ODgoFc+ZMgQAMDJkycBGH8PvvvuO2g0Gkjtf5L1XiNHjmzcyf0fR0dH9O7dG++88w4+++wzAMCWLVsM9vvggw8wdOhQjB8/vkntWHJ7jo6OAIAbN240qy1qG5gwEZFZdO3aFQDg5uZm5khMz9raGtXV1Q3a197eHsnJySgrK0NwcLDeNl2imZ2drVeuG7Pz7LPPNqiNgoICZGVlobS01GBbTU1Ng+qoz+jRowEATz31lF55SkoK7OzsEBMT0+w2LLG9uhJVenwxYSIisygoKAAADBs2DMAvXz4VFRUAap80Kyoq0jtGURRUVVUZ1NXQ5KS1uLq6qoOyH6RLTh5OUry8vLBx40YcO3ZMr1x3J2n//v165VevXgXwy7UzxsvLC6WlpVi5cqVe+fnz55GQkNCgOuqjm9TRz89PLTt06BBycnIQGRmpt++pU6cei/YA4M6dOwBqB/HT448JExE12L179wDUPrmlc//+fYP9iouLAcAguXkwsTl8+DD69euHmTNnAqj9UgeApUuX4qeffkJcXJzapXTw4EHU1NTAw8MDubm5asIA1CYTjo6O+Oqrr0xxiibh4+OD4uJi9Xrp6B5zr6sLJzAwEPPmzdMri4iIgEajQXx8PPLy8tRyrVaLgQMH4t133wVg/D0YPXo0evTogSVLlmDq1KnYvn07YmJiMHfuXEyZMgUAsGrVKrz00kvYsWNHvee2Zs0abNy4UU1my8vLERkZiaCgIDWeI0eOYMWKFaiuroZWq4VWq0VCQgLmz5+PAwcOtPn2dG7dugUAGDRoUL110mPCnAOoyDgO+iZTae6g75KSEomOjlYHC69evVpWrFih/rx06VIpKipSB3MDkKioKCkrK1MHb3/00Udy69Ytyc/PlxUrVuhN+peRkSEDBgwQOzs78fX1lYyMDBk8eLCEhITIjh07pLy8XKKjo8XV1VV27dqlHnfo0CHp2rWrHD16tFnXR8R0v2/ffPONAJCvv/5aLUtOThY/Pz8BIKNGjZJvv/3W4LjKykoZNGiQXllxcbFERESIr6+vhIeHS0REhCxZskTKy8tFRESr1TboPcjOzhZ/f3/p2LGjuLi4yIwZM+TmzZtqO2+//bZYWVnJ888/X++5LV68WHr27ClOTk4ya9YsCQsLk8OHD6vbT548qQ6SfvilKIpcunSpTbf3oE8++USsra3VNpoKHPTdJigiIq2VnFHjJSUlISgoCHybqLkCAwMBADt37mz1tnv37o0LFy5Y/OfYlL9vI0eOhKenJ9asWWOCyFpHRkYGJk+ejLS0NLbXAP7+/nBxccHnn3/erHoURUFiYiLGjRtnkrioZbBLjoioBWzatAkHDhxoM09QlZaWIj4+HuvXr2d7DXD69GlkZGQYzDJOjy8mTGSxHh7wS21XSUmJ3r9Pgueeew67du3CvHnz6nw6zdJkZWVh2bJl0Gg0bM+I3NxcxMbG4vDhwwZTPtDjiwkTtbgNGzagb9++cHBwgLe3NzZt2vTIfcvLy7Fs2TL87ne/Q6dOnZrc5s6dO/GHP/wBv/nNbzB8+HCMHj0a7777LlauXGnWtZ/quxaHDx+Gn58fFEWBoij4/e9/j9///vfo378/Ro8ejQ0bNqhPkLUVJSUlWLRokTpIe86cOa3W/WIJNBoNYmNjodVqzR2KURqNplW//Ntqe1VVVdiyZQu2bduGF154wQSRUZth1hFUZFRbH/QdFRUlwcHBotVqJSwsTF0iIz4+/pHHlJWVSceOHZt03jdv3pQ33nhDevbsKadPn1bLa2pqZOvWrdKpUyeZOnVqk86luRpyLa5du6YuxaBTU1Mj+/btEw8PD3nxxRfl3LlzTWrfVDN9P87a+u8btU3goO82wcaMuRo95nJycnD16lVs3bpVLfPz88Pw4cMRFxdn8IiuztNPP43nnnsOt2/fblR7IoK33noL58+fR2Zmpt4q8YqiYNKkSXjhhRfw6aefNu2EmqGh10I3mWP79u3V/RRFwahRo9CvXz/069cP/v7++PHHH/H000+37kkQET3B2CVHLebKlSsGAyJ9fX3h7OyszkdjSsnJyUhNTUVUVJResvQgHx8f9Wmx1mSKa+Hq6oq//vWvuHTpEgeaEhG1MiZMj6GSkhIsXboUISEhCAsLw+uvv464uDh1+927dxEZGYno6GiEh4dj+PDhCA8PV2cm3rt3L2bOnAk3NzcUFhYiNDQUnTt3Rp8+ffD9998DAL788kt06tQJiqLoLUPwySefwNraGuvWrcPAgQPVJRweVFFRgcGDB6s/l5WVITw8HDNnzkRMTAzee+89g8HBx44dg5ubG06cOPHI805OTgYADB06tN7rM3bsWIu9FsYEBATA2toaX3/9dYOPISIiEzB3nyDVr7FjKiorK+X111+XkJAQqampERGRTZs2CQDZt2+fFBcXi6enpyxevFg9Jj8/Xzw9PaVHjx5SWFgoOTk5Ym9vLwAkNjZWrly5Ilu3bhUAMmDAAPW4+Ph4ASD//Oc/1bKff/5ZJk6c+Mj4UlNTxdbWVs6cOSMitSuLDxgwQKZPn67uc+nSJbGxsdE77z179kiHDh1k3759j6y7f//+AkCKiooadK0s7VroABAvL69HHufq6iqdOnVq0Dk+iGOYjOMYJjIHcAxTm8CJKy1cYyfSW7NmDebPn4+LFy/C09MTQO1yFP/4xz/w1ltv4aOPPkJsbCxyc3P11j/6xz/+gcmTJyMiIgIrV66El5cXLl68qNeui4sLCgsL1WUYKisr0bNnT3h7e2PPnj0AgPfffx9jx46Ft7e3QWzV1dUYOnQo/vznP6sriWu1Wrz77rs4f/68ujQGAPTq1QsZGRl67VdXV9e7Kv1rr72GtLQ0g3N7lL/85S8WdS10FEWBl5cXzp8/X2fc3bp1Q3V1Na5du2b0HB8UGBiInJwcg+U36BenTp3C2rVrkZiYaO5Q6AkSFBTEiSvbAA76fswcP34cAPQed7W2tkZoaCgAIDU1FQAMHq/VLfJ58uRJAHWvwu3k5KQ3CV+7du0QFhaGhQsXIisrC25ubrh48WKdCQIAfPDBBxg6dKhegqDrWurevbvevrpV2h9UX7IEAL/+9a+RlpaG8+fPNyhhsrRr0RCVlZW4ceNGgxddfVhaWhqCgoKadOyThNeIiB7GMUyPGd2XeGZmZp3bdYlIdna2XrlufM2zzz7bqPamTZsGOzs7JCQk4L//+78REBBQ534pKSmws7PTG+MDQL1Lolu5vjl8fHwAoMHz/FjatWiIo0ePoqKiwug4rUcJCAiAiPD1iJfuzpK54+DryXpR28CE6THzyiuvAABiY2P1fhGvXLmCf/7zn+rdk/379+sdp5tYsLF3Lp555hlMmzYNGzduRGJiIsaMGWOwz6FDh5CTk4PIyEi98lOnTqndcA/HU5cHV7qvS3BwMPr164e4uDjk5ubWuU95eTm2bNkCABZ3LYypqKjAe++9h759+2LOnDmNio2IiJqHCdNjJioqCnZ2dti5cyeGDRuGjz/+GO+//z6WL1+OESNGICIiAhqNBvHx8cjLy1OP02q1GDhwoDofkG5szoOKi4sB1M50+6A5c+bg3r176Nu3L2xs9Ht5jxw5ghUrVqC6uhparRZarRYJCQmYP38+Dhw4gIULF8LGxgbvvfceDh48iLKyMhw7dgzXr18H8Mvdn/3798PR0RFfffXVI8/dysoKW7duxdNPP41BgwZh9+7dapKlq3fkyJHo1asXAFjctdDFWVebZ8+exZtvvok7d+5g27ZtBnUTEVHL4l/dx4y7uzvS0tKwYMEC/Otf/8LFixcRGBiIDz/8EIqiwNbWFqdOncJf//pX/PGPf0SfPn1gbW2NTp064ejRo7CxscHHH3+sJiqxsbGYPXs2Nm3apHafxcTE4P/9v/+nTpzYvXt3zJ49G7NmzdKL5dSpU/D390dpaSmOHj2qt01RFPz000/o0aMHjh49iujoaAQGBsLZ2RkzZsyAt7c3fv3rXyMrKwvdunVD+/bt8cwzz+hN6FgXLy8v/Pjjj/j444+xYcMGhIeHw87ODjY2Nhg5ciSSkpLUOZos7VqkpqaqS6VkZ2fjjTfeQPv27dG+fXu0a9cOQUFB+OMf/wg7OzujnwMiIjItPiVn4Rr7lBzRo+gm7Ny5c6eZI7Fc/H0jc1AUhU/JtQHskiMiIiIyggkTERERkRFMmIiIiIiMYMJERGQimZmZWLVqFZKSkuDt7Q1FUaDRaNSnH3WOHDmCESNGQFEU9O/fH0lJSWaK2Lj09HS89dZb6Ny5M5ydnTFhwgSDaTs2bNiAvn37wsHBAd7e3urDC09Ce9XV1YiKimr0zPvUBglZNK5tRaZi7rXkrl69avF1N+f37fjx4zJx4kSpqKgQEZGioiIBIABkxowZBvtnZ2cLALl48WKzYm5J6enpMmbMGNm9e7ecPXtWQkJCBIAMHTpU3ScqKkqCg4NFq9VKWFiY2NraCgCJj49/Ytq7ffu2jB07VrKyshodg4hwLbk2gt/EFo4JE5mKOROmy5cvy+DBgy2+7qb+vqWnp0u3bt2koKBArxyADBkypM4vxMrKSgGgJliWKC4uTkpLS9WfKysrxdHRUezt7UWkNlGdNGmS3jEHDx4UANKzZ88nqr0ffvhBNBqN3Lt3r9FxMGFqG9glR0Qt6tq1axg1ahRu3rzZpupuKBFBcHAwpkyZos7x9aDExES4urpi+vTpuHz5slqum3y0Xbt2rRZrY82ZMwe2trZ6ZVVVVZg6dSqA2hUEVq1apbfd19cXzs7OyM/Pf6Lae/nll+Hh4YGFCxc2Og5qG5gwEdEj3b17F5GRkYiOjkZ4eDiGDx+O8PBwFBYWAgDWrVsHKysrdYHi4uJirF69Wq9s8+bNOHfuHPLy8tQJPXWTq7q7u+PGjRsICAhAp06d0KdPHyQnJzerbgA4duwY3NzccOLEiRa/Rnv37sWZM2cwYsSIOre7uLggKSkJpaWlCAoKQmVl5SPrMna99+7di5kzZ8LNzQ2FhYUIDQ1F586d0adPH3z//fdqPffv38eHH36IadOmoX///njzzTfx448/Nvtc33//faxduxZr164FAAwcOFBde/FBFRUVGDx48BPX3vDhw7Fu3TpkZWU1OxayQOa+xUX1Y5ccmUpju+SKi4vF09NTFi9erJbl5+eLp6en9OjRQwoLC0VExMPDw+Az+nAZAPHy8hIRkerqaklJSVHHgsyePVtOnDgh27dvFwcHBwEgqampTapbZ8+ePdKhQwfZt29fg89XpGm/bxMmTBBFUaSystJg24N1rVmzRgDIggUL6tzekOudk5Mj9vb2AkBiY2PlypUrsnXrVgEgAwYMUI+bPn26XLhwQf3Z19dXunTpInfv3m3Uuens3r1b7Vp0d3eX9evXP3Lf1NRUsbW1lTNnzjSprbbc3tmzZwWALF++vFHtg11ybQK/iS0cEyYylcYmTIsWLRIAkpubq1e+ZcsWASAREREiIuLl5WXwGX24rK6kxtPTUwBISUmJWrZ27VoBIOPHj29W3SIiVVVVDT5Xnab8vnXv3l0cHR3r3PZwXePGjRNFUWT//v0G2xt6vXv16mVQb5cuXaR9+/YiInL69Gl1sPnDr5SUlEadm86dO3ckPT1dEhISpEOHDgJANm/ebLBfVVWV+Pj4yBdffNGkdtp6e9evXxcA4ufn16j2mTC1DeySI6I6paamAgAcHBz0yocMGQIAOHnyZLPqt7Kq/fPToUMHtczf3x9A7eP5zWVtbd3sOhoiLy8PTk5ODdp3w4YN8PLyQmhoqLrAtE5Dr7euO/JBTk5OKC8vBwB899130Gg0kNr/EOu9Ro4c2biT+z+Ojo7o3bs33nnnHXz22WcAgC1bthjs98EHH2Do0KEYP358k9pp6+05OjoCAG7cuNGseMgyMWEiojrpEhrd4sM6ujEdzz77rMnb7Nq1KwDAzc3N5HW3FGtra1RXVzdoX3t7eyQnJ6OsrAzBwcF620x1vQsKCpCVlYXS0lKDbTU1NQ2qoz6jR48GADz11FN65SkpKbCzs0NMTEyz22ir7dWVzNLjgwkTEdVJd2dj//79euVXr14FAAwbNgzAL18SFRUVAGqfGisqKtI7RlEUVFVVGW2zoKDAZHU3NIlpLldXV3VQ9oN0ycnDSYqXlxc2btyIY8eO6ZU39Hob4+XlhdLSUqxcuVKv/Pz580hISGhQHfXRTero5+enlh06dAg5OTmIjIzU2/fUqVNPVHt37twBUDvQnx4/TJiIqE4RERHQaDSIj49HXl6eWq7VajFw4EC8++67AGq/oAFg6dKl+OmnnxAXF6d2Dx08eBA1NTXw8PBAbm6u+uX/oAcTm8OHD6Nfv36YOXNms+rev38/HB0d8dVXX5nyktTJx8cHxcXFuHfvnl657rHzurpnAgMDMW/ePL2yhl7v+/fvG9RXXFwMoPaR+NGjR6NHjx5YsmQJpk6diu3btyMmJgZz587FlClTAACrVq3CSy+9hB07dtR7bmvWrMHGjRvVJLW8vByRkZEICgpS4zly5AhWrFiB6upqaLVaaLVaJCQkYP78+Thw4MAT0Z7OrVu3AACDBg2qt11qo8w4fooagIO+yVSaMnFlcXGxREREiK+vr4SHh0tERIQsWbJEysvL1X0yMjJkwIABYmdnJ76+vpKRkSGDBw+WkJAQ2bFjh5SXl0t0dLS4urrKrl271ON0g7c/+ugjuXXrluTn58uKFSv0Jv5rat2HDh2Srl27ytGjRxt1vk35ffvmm28EgHz99ddqWXJysvj5+QkAGTVqlHz77bcGx1VWVsqgQYP0yoxdb61Wqw7gXrp0qRQVFakD5QFIVFSUlJWVSXZ2tvj7+0vHjh3FxcVFZsyYITdv3lTbefvtt8XKykqef/75es9t8eLF0rNnT3FycpJZs2ZJWFiYHD58WN1+8uRJdZD0wy9FUeTSpUtPRHs6n3zyiVhbWxuUGwMO+m4TFBGRVsvOqNGSkpIQFBQEvk3UXIGBgQCAnTt3mjmSWr1798aFCxcs6rPd1N+3kSNHwtPTE2vWrGmhyEwvIyMDkydPRlpaGtszEX9/f7i4uODzzz9v1HGKoiAxMRHjxo1rocjIFNglR0TUTJs2bcKBAwfazNNRpaWliI+Px/r169meiZw+fRoZGRkGM4PT44MJExGZRUlJid6/bdlzzz2HXbt2Yd68eXU+nWZpsrKysGzZMmg0GrZnArm5uYiNjcXhw4cNpoWgxwcTJiJqVSUlJVi0aJE6SHvOnDmt2m3SUjQaDWJjY6HVas0dilEajaZVv9gf5/aqqqqwZcsWbNu2DS+88EKrtEnmYWPuAIjoyWJnZ4fY2FjExsaaOxSTc3d35+KrTxgbGxuD6Qbo8cQ7TERERERGMGEiIiIiMoIJExEREZERTJiIiIiIjOCg7zZCN+kgUVPpnkTjZ+nRcnJyAPAaEZEhzvRt4U6dOoXVq1ebOwyiVnP27FkAQN++fc0cCVHrmT9/Pl577TVzh0H1YMJERBZFtzxEUlKSmSMhIvoFxzARERERGcGEiYiIiMgIJkxERERERjBhIiIiIjKCCRMRERGREUyYiIiIiIxgwkRERERkBBMmIiIiIiOYMBEREREZwYSJiIiIyAgmTERERERGMGEiIiIiMoIJExEREZERTJiIiIiIjGDCRERERGQEEyYiIiIiI5gwERERERnBhImIiIjICCZMREREREYwYSIiIiIyggkTERERkRFMmIiIiIiMYMJEREREZAQTJiIiIiIjmDARERERGcGEiYiIiMgIJkxERERERjBhIiIiIjKCCRMRERGREUyYiIiIiIxgwkRERERkBBMmIiIiIiNszB0AET25SktLUV5erldWUVEBALhz545eefv27dGhQ4dWi42I6EGKiIi5gyCiJ9PHH3+Md955p0H7arVavP322y0cERFR3ZgwEZHZ3Lx5E66urqiurq53P2tra+Tm5sLZ2bmVIiMi0scxTERkNs7Ozhg6dCisra0fuY+1tTWGDRvGZImIzIoJExGZVXBwMOq70S0iCA4ObsWIiIgMWQ+hggAAIABJREFUsUuOiMyquLgYzs7OBoO/dZ566incvHkTzzzzTCtHRkT0C95hIiKzcnBwwB/+8Ae0a9fOYJuNjQ1Gjx7NZImIzI4JExGZ3aRJk1BVVWVQXl1djUmTJpkhIiIifeySIyKzq6ioQOfOnVFcXKxXbm9vj1u3bqF9+/ZmioyIqBbvMBGR2T311FMIDAzEU089pZa1a9cOQUFBTJaIyCIwYSIiizBx4kR1lm8AqKysxMSJE80YERHRL9glR0QWoaamBi4uLrh58yYAoHPnzsjLy6t3jiYiotbCO0xEZBGsrKwwceJEPPXUU2jXrh0mTZrEZImILAYTJiKyGBMmTEBFRQW744jI4tg09cCkpCRTxkFEBBFBp06dAACXL19Gdna2eQMiosfOuHHjmnRck8cwKYrSpAaJiIiIzKWpQ7ebfIcJABITE5ucqRER1SU9PR0A8Otf/9rMkTSdoij8+2hEYGAgAGDnzp1mjoSeFElJSQgKCmry8c1KmIiITK0tJ0pE9PjioG8iIiIiI5gwERERERnBhImIiIjICCZMREREREYwYSIiIiIyggkTERERkRFMmIiILNSrr76KiIgIc4dhkTIzM7Fq1SokJSXB29sbiqJAo9GgrKxMb78jR45gxIgRUBQF/fv3t+hVKtLT0/HWW2+hc+fOcHZ2xoQJE5Cbm6u3z4YNG9C3b184ODjA29sbmzZtemLaq66uRlRUFK5du9bkGJpFmgiAJCYmNvVwIqLHlqn+Po4fP15iYmJMEFHTXL16tcXqDggIkICAgCYde/z4cZk4caJUVFSIiEhRUZEAEAAyY8YMg/2zs7MFgFy8eLFZMbek9PR0GTNmjOzevVvOnj0rISEhAkCGDh2q7hMVFSXBwcGi1WolLCxMbG1tBYDEx8c/Me3dvn1bxo4dK1lZWY2OITExUZqR9ggTJiIiE3sc/j5evnxZBg8e3GL1NzVhSk9Pl27duklBQYFeOQAZMmRInde+srJSAKgJliWKi4uT0tJS9efKykpxdHQUe3t7EalNXidNmqR3zMGDBwWA9OzZ84lq74cffhCNRiP37t1rVAzNTZjYJUdERHquXbuGUaNG4ebNm+YORY+IIDg4GFOmTEHHjh0NticmJsLV1RXTp0/H5cuX1XIbm9pFLdq1a9dqsTbWnDlzYGtrq1dWVVWFqVOnAgCuXLmCVatW6W339fWFs7Mz8vPzn6j2Xn75ZXh4eGDhwoWNjqM5mDAREVmYmpoa7Ny5E6GhofDx8QEA7N27FzNnzoSbmxsKCwsRGhqKzp07o0+fPvj+++8BAGlpaViwYAHc3d1x48YNBAQEoFOnTujTpw+Sk5MBAOvWrYOVlZW6gHpxcTFWr16tV7Z582acO3cOeXl5mDVrlhrXsWPH4ObmhhMnTrTm5VDt3bsXZ86cwYgRI+rc7uLigqSkJJSWliIoKAiVlZWPrOvu3buIjIxEdHQ0wsPDMXz4cISHh6OwsFBty9j1/v/s3XtYlGX+P/D3CGqcEjwEaLiChlhj0fpzrVXETUMvdNFaFSwwzNNlpWgY4Lr0NVdK2wj8Cp0U9TI1wcRvCqaJh2zxsG267hoqGqIiIIqCyPnw+f3BzhPDIDMMhwF5v65rrpr7OXzu556HmY/PfT/3AwBlZWX48MMPMWfOHAwfPhwvvvgizp071+xjfffddxEdHY3o6GgAwMiRI2Fvb6+zXkVFBTw8PDpdvPHjx2P9+vXIyMhodl0MZuylKTwEl5yJiFpDS3w/Xrt2TQCIm5ubiIhkZWWJtbW1AJCIiAi5evWqbN26VQDIiBEjpLq6WpKSkpRxHwsXLpRjx47J9u3bxcbGRgBIamqqiIgMHDhQp2uiflnd2BrffPONWFpayt69e5t1bCLGdcnNmDFDVCqVVFZW6iyrW/eoqCgBIEuXLm1weVFRkbi6usqKFSuUsry8PHF1dRUXFxcpKCjQ294ac+fOlQsXLijvvby8xN7eXu7du9ekY9PYvXu30rXo7OwsGzZseOC6qampYmFhIadPnzYqVkeOd+bMGQEgH3zwgcGxOYaJiKidaanvx/pJy+DBg3W+8O3t7aV79+7Ke1dXVwEgxcXFSll0dLQAED8/PxERcXNz09lP/bKGEiYRkaqqquYd1H8ZkzANGDBAbG1tG1xW/3imT58uKpVKkpOTdZYvX75cAEhOTo7WNlu2bBEAEhISIiL62/vUqVPKYPP6r6SkpCYdm8bdu3clLS1NYmJixNLSUgDI5s2bddarqqoST09P+eqrr4yK09HjZWdnCwDx9vY2ODbHMBERdRKaLrO67OzsUF5errzv0qX2a93S0lIp8/HxAVB7K35zmZmZNXsfxsrNzYWdnZ1B68bFxcHNzQ2BgYHIzs7WWpaamgoAsLGx0SofPXo0AOD48eMA9Lf3jz/+CLVaDam9+KD1mjhxYtMO7r9sbW0xZMgQvPnmm/j8888BAFu2bNFZ77333sPYsWPh5+dnVJyOHs/W1hYAcPPmzWbVpymYMBERPeT69u0LAHBycjJxTZrHzMwM1dXVBq1rbW2NxMRElJaWwt/fX2uZJqnMzMzUKteMoenRo4dBMfLz85GRkYGSkhKdZTU1NQbtozGTJ08GAHTr1k2rPCkpCVZWVggPD292jI4ar6FktrUxYSIiesjl5+cDAMaNGwfg1x+biooKALV3nxUWFmpto1KpUFVVpbMvQxOW1uDo6KgMyq5Lk5zUT1Lc3NywceNGHDlyRKtccyUpOTlZq/z69esAfm0nfdzc3FBSUoI1a9ZolZ8/fx4xMTEG7aMxmkkdvb29lbKDBw8iKysLoaGhWuueOHGiU8W7e/cugNqB/m2FCRMRUTt0//59ALV3c2mUlZXprFdUVAQAOslN3cQmJSUFw4YNw/z58wHU/tADwKpVq3D58mWsXbtW6WY6cOAAampqMHDgQOTk5ChJBFCbYNja2mL//v0tcYhN5unpiaKiIqVtNDS3nTfUPTNt2jQsWbJEqywkJARqtRrr1q1Dbm6uUh4bG4uRI0firbfeAqC/vSdPngwXFxesXLkSs2fPxvbt2xEeHo7Fixdj1qxZAIDIyEg89dRT2LFjR6PHFhUVhY0bNyqJa3l5OUJDQ+Hr66vU59ChQ1i9ejWqq6sRGxuL2NhYxMTE4O2338a+ffs6RTyN27dvAwBGjRrVaNwWZezgJ3DQNxFRg5r7/VhcXCzLli1TBhB//PHHsnr1auX9qlWrpLCwUBnMDUDCwsKktLRUGbz90Ucfye3btyUvL09Wr16tNclfenq6jBgxQqysrMTLy0vS09PFw8NDAgICZMeOHVJeXi7Lli0TR0dH2bVrl7LdwYMHpW/fvnL48OFmtY+IcYO+v//+ewEg3333nVKWmJgo3t7eAkAmTZokP/zwg852lZWVMmrUKK2yoqIiCQkJES8vLwkODpaQkBBZuXKllJeXi4hIbGysQe2dmZkpPj4+0rNnT3FwcJB58+bJrVu3lDhvvPGGdOnSRfr169fosa1YsUIGDRokdnZ2smDBAgkKCpKUlBRl+fHjx5VB0vVfKpVKfvnll04RT+PTTz8VMzMznfLGNHfQt0pExJhES6VSIT4+HtOnTzdmcyKih5Ypvx+HDBmCCxcuwMiv9jYzbdo0AMDOnTubtN3EiRPh6uqKqKio1qhWq0hPT8fMmTNx8uRJxmshPj4+cHBwwBdffGHwNgkJCfD19TX6b4NdckRE1GFs2rQJ+/bta9O7o5qjpKQE69atw4YNGxivhZw6dQrp6ek6M4O3tjZNmOr2xXeGuO1FXl4edu7ciffff9/UVenUOtN5yHPOdIqLi7X++7B57LHHsGvXLixZsqTBu9Pam4yMDLz//vtQq9WM1wJycnIQERGBlJQUnWkhWlurJ0zV1dVYs2YNPDw80KtXr9YOp+Wjjz6Cp6dnm8dtTy5cuICVK1di+vTp+PLLL7WWPffccwgJCWn1OrRVnIYEBQWhd+/eUKlU6Nq1K/74xz9iwoQJGD58OCZMmICvv/661etgyHmYkJAAd3d3qFQqqNVqlJaWai0/dOgQJkyYAJVKheHDhyMhIaG1q220zn7OmUpxcTGWL1+uDNJetGhRm3aRtCW1Wo2IiAjExsaauip6qdXqNv1hf5jjVVVVYcuWLdi2bRsef/zxNompxdjBT2jCoMbS0lLp2bNnswZbaVy/ft3gdcvKyqRXr14tErcjKysra3DWXj8/PwkPD2/RWA19Pq0RpylycnIEgLi6uipl5eXlsnjxYmVwbFO1xnlYWFioDHKcN2+ezvLMzEwBIBcvXmxyfdtaZz/nmvL92FkZM+ibqDk6zKNRGpqKv6muXLkiHh4eTdqmJeI+DBr68Wppxnw+baWh46+srBQLCwtxcXFp0r5a8zwEoDxnqf7fV2VlpQCQioqKJsU2lc58zjFh0o8JE7W1TvNolBs3bmDSpEm4deuWqatCDeiIn4+5uTlsbGyaNLaoLY4zPj4ejo6OmDt3Lq5cuaKUm5ubAwC6du3aarE7ko54zhFRx9XmCdPly5fh4+ODnj174ne/+x2OHj2qLLt06RKmTZuGsLAwzJw5E6NHj8Z//vMfAMDmzZvx888/Izc3FwsWLFC2KS4uxqpVqxAQEICgoCCMGTMGa9eu1Yl769YtTJ06Fb169YJarcY///lPg+u8Z88ezJ8/H05OTigoKEBgYCB69+6NoUOH4qefflLWu3fvHkJDQ7Fs2TIEBwdj/PjxCA4ORkFBAWpqavD9999jyZIlcHZ2RnZ2NsaMGYPf/OY3yM7OxrZt2/DKK69g5MiROHnyJH77299iwIABSE1NRXp6Ol566SX06dMHQ4YM0Yqpr90aUlNTg507dyIwMBCenp5Kec+ePeHn54clS5ZgyZIlcHBwgJmZGX788UejPp8HxWmsnZrS3keOHIGTkxOOHTtm8GdZ19dff428vDy8/vrrBrdnW5yHDg4OSEhIQElJCXx9fVFZWfnAY+A517bnHBF1YsZemoKRXXKLFy+WgwcPyueffy5WVlZiZmYm//73v0VE5IknnpCBAweKSG33g62trajVaq2YdS/xV1ZWypgxYyQgIEBqampERGTTpk0CQPbu3asV93/+538kMzNTkpOTBYA8//zzBtc9KytLrK2tBYBERETI1atXZevWrQJARowYISK1k6C5urrKihUrlO3y8vLE1dVVXFxcJC8vT2tirg8++EBSUlJkzpw5UlRUJJcvXxYA0qNHD0lOTpa0tDQBIAMGDJC//e1vUlhYKGfOnBEAMmbMGK366Wu3htru2rVrWmVVVVVadd+/f78AkNDQUIPj1I/RUBx97VRQUGBQe4uIfPPNN2Jpaal81o3RtG1gYKD4+/vL73//e7Gzs5MvvvhCOXeMPc6WPA/r/klGRUUJAFm6dGmDy3nOtf05Z6imfj92RuySo7bWYSau1Eymdu/ePWVE/f/+7/8iKCgIr732GjZv3oyoqCg4OjrCz88PIoInnngC165dU553pFKp4ObmhvPnzwOonWr97bffxsWLF+Hq6gqg9q68L7/8ElOmTFGeinzhwgXU1NQoz0/q3bs3SktLm3TbrZubGy5evKg14ZWDgwMKCgpQVlaGv/zlL4iIiEBOTo7Ws22+/PJLzJw5EyEhIVizZo2ynzt37ug8dbv+8T3++OO4ceOGVkx7e3tUVFQoz9HRtENj7dbQvhsqKysrwyOPPIKCggKo1Wr07NkT//znP5UHIzb182koTlPb6UHtrVFdXW3Q09NVKhUGDRqEQ4cOoaSkBNevX8fu3buxadMmvPnmm/jwww+VB3Ka8jxUqVRax+zr64udO3ciKSkJ3t7eWst5zpnmnDOESqXCc889Z5o7eToIzR18zz33nIlrQp1FVlYWTp48afTEleYtXB+96t5+OGXKFAQFBSEtLQ0AsGTJEhQXF+OTTz7BnTt3UF5e3mh3hKY7r+6XkpmZGQIDA3XWrftk4z59+uDChQtNqndDT0a2s7NTJk9LTU0FAJ3bKzUPeTx+/LjWfur/cDWkoVs1e/bsqVP3prbbgzzyyCMAam9HvnXrFpKTk7WeIt0ScZraTnXVbW8NQ5IlDXNzc/Tv3x9AbQL84osv4sknn8TChQvRp08f5WGP7ek8jIuLw3/+8x8EBgbiX//6l9YynnOGaelzjog6KWMvTaEF7pLT3Hr8pz/9SURE/vGPf4izs7N8++23DW6DepffR4wYIQDkX//6V5PiGnPnnL79vPDCCwJAzp07p7VOaWmpAJCJEyfqjV3/+Aytu752a2jfDyrbvXu30n1TX1M/n4bKm9NOzbnj8UF1y83N1ekaM+V52NDxnT9/XqytreUPf/iD1nKec+33nGvq92NnxC45amsd+i45zQRrkyZNAgDMnDkTlZWVmDBhAoDaAZx1qVQqrSdyP/PMMwCAiIgIrUtsV69exbffftuqda9P86/V5ORkrXLNMY4bN67VYutrN0Pdvn0b8+fPx/PPP4933nlHKT979qxBcep/Pg1p6Xaq+0R2Y2iuHjg6OiplpjoPNXHqx3Nzc8PGjRtx5MgRrXKec6Y554iokzI200IT/wU1ZMgQASB37txRyt544w2ZPHmy8r5Hjx6iUqnku+++k23btsljjz0mAOTUqVNy/fp1GTRokFhZWcm1a9dERCQjI0OsrKwEgLzwwgsSGxsr4eHhMn/+fGXwbd++fQWA3Lt3T4nj6OgoALSe3q3PgAEDdDLTfv36CQCprKyUkpISUavV8vjjj0tOTo6yTlBQkIwcOVIqKyu19lM/tuZfu4MHD1bKBg4cKACkqKhIpx7V1dUGt1tJSYkymFejqKhIAEjfvn2Vsj/96U9iZWUlly5dUsru3LkjYWFhBsWp//k0FKep7fSg9hYRSUpKEmtra+Xqw4No2rZ///5a5Tdv3pTf//730q1bN/nHP/5hcHu21nmomWAzOzu7weNYsmSJVpvwnGv7c85QTf1+7Ix4hYnaWnOvMJmtWLFihTGJ1nvvvYdp06bhqaeeMmj9wYMHo6CgAF9++SVOnDiBlJQUDBkyBH/729+UsQOPPvoo/v73v+Pf//43Xn31Vbi4uODUqVO4du0apk6disLCQpw/fx7u7u4YMmQI7Ozs4OPjg4yMDPz00084efIkBg0ahPfffx/du3dHZGQkEhMTAQClpaXw8PDA2rVrsXv3bgBAeXk5xowZo3cczCeffILt27cDqJ0Dx93dHZ999pnylO3KykqMGTMGr7/+Ou7evYvPPvsMZ8+exaFDh2Bra4v169ejsrISq1evVmLfvn0bTk5OcHBwQF5eHlauXIkTJ07g/v37eP7553H58mV88sknqKmpQXFxMUaMGIG4uDjs2LEDAGBtbQ03NzdYWlo22m7Dhg1DZGQkTp06hYKCAtjZ2aF///6IjIzE3//+dxQVFaFHjx64ePEiPvjgAwwePBj5+fk4cOAAvv76a/zlL3/BmDFj8Pzzzzf58ykpKUFERIRWHHd3d8yZM+eB7dS1a1eD2nvUqFHIzs7Gt99+i+nTp8PZ2bnBzy4xMRErV65EWloaCgsLsX//fuzatQuffvopPvvsM7i5uWHbtm1wd3dXtjHFeXj37l389a9/xaVLl3Dx4kX0799fGW+lMXbsWBw5ckSZBqFr166YOXMmz7k2POc0c2Hp09Tvx85I07aG3jhE1Fw///wzvv76axiZ9qDN7pIjIuos+P2o37Rp0wD8mjgRtbaEhAT4+voafZdch5npu7WoVCq9r4sXL5q6mkRERGRCbT6tQHtjbKZJREREnUenv8JEREQdz6VLlxAZGYmEhAS4u7tDpVJBrVajtLRUa71Dhw5hwoQJUKlUGD58OBISEkxUY/3S0tIwZcoU9O7dG3369MGMGTOQk5OjtU5cXByeffZZ2NjYwN3dHZs2beo08aqrqxEWFoYbN24YXYdmMXa0OHgXCBFRg0z5/Xj9+vUOse/m3CV39OhReeWVV6SiokJERAoLCwWAAJB58+bprJ+ZmSkA5OLFi82qc2tKS0uTl156SXbv3i1nzpyRgIAAASBjx45V1gkLCxN/f3+JjY2VoKAgsbCwEACybt26ThPvzp078vLLL0tGRkaT69Dcu+SYMBERtTBTfT9euXJFPDw8OsS+jU2Y0tLSpH///pKfn69VDkBGjx7dYNtXVlYKACXBao/Wrl0rJSUlynvNsxOtra1FpDZZffXVV7W2OXDggACQQYMGdap4Z8+eFbVa3aSpgUQ6+MSVRETUMm7cuIFJkybh1q1bHWrfTSEi8Pf3x6xZs9CzZ0+d5fHx8XB0dMTcuXNx5coVpVwzHUTXrl3brK5NtWjRIlhYWGiVVVVVYfbs2QBqJ8KNjIzUWu7l5YU+ffogLy+vU8V7+umnMXDgQK3JbtsCEyYiIhO7d+8eQkNDsWzZMgQHB2P8+PEIDg5GQUEBAGD9+vXo0qWLMmddUVERPv74Y62yzZs34+eff0Zubi4WLFgAoPYBt0uXLoWzszNu3ryJqVOnolevXhg6dKgyN5ix+waAI0eOwMnJCceOHWuTdtqzZw9Onz6tzPxen4ODAxISElBSUgJfX99Gnzuor8337NmD+fPnw8nJCQUFBQgMDETv3r0xdOhQ/PTTT8p+ysrK8OGHH2LOnDkYPnw4XnzxRZw7d67Zx/ruu+8iOjoa0dHRAICRI0fC3t5eZ72Kigp4eHh0unjjx4/H+vXrkZGR0ey6GMzYS1NglxwRUYOa8v1YVFQkrq6usmLFCqUsLy9PXF1dxcXFRQoKCkTk11nY66pfhjrP0KuurpakpCRlHMjChQvl2LFjsn37drGxsREAkpqaatS+Nb755huxtLSUvXv3GnSsdRnTJTdjxgxRqVQNzrxet65RUVECQJYuXdrgckPaPCsrS6ytrQWAREREyNWrV2Xr1q0CQEaMGKFsN3fuXLlw4YLy3svLS+zt7bVm9W+K3bt3K12Lzs7OsmHDhgeum5qaKhYWFnL69GmjYnXkeGfOnHngMygfhGOYiIjamaZ8Py5fvlwAaD22RURky5YtAkBCQkJExLCHAzeU1Li6ugoAKS4uVsqio6MFgPj5+TVr3yIiVVVVBh1nfcYkTAMGDBBbW9sGl9Wv//Tp00WlUklycrLOckPbfPDgwTr7tbe3l+7du4uIyKlTp5TB5vVfSUlJTTo2jbt370paWprExMSIpaWlAJDNmzfrrFdVVSWenp7y1VdfGRWno8fLzs4WAOLt7W1wbI5hIiLqwFJTUwEANjY2WuWahwYfP368Wfvv0qX2a97S0lIp8/HxAVB7a35z6Xu0VEvKzc2FnZ2dQevGxcXBzc0NgYGByM7O1lpmaJtruiTrsrOzQ3l5OQDgxx9/hFqthtRefNB6TZw4sWkH91+2trYYMmQI3nzzTXz++ecAgC1btuis995772Hs2LHw8/MzKk5Hj2drawvg1weotwUmTEREJqRJaDIzM7XKNeM5evTo0eIx+/btCwBwcnJq8X23JjMzM1RXVxu0rrW1NRITE1FaWgp/f3+tZS3V5vn5+cjIyEBJSYnOspqaGoP20ZjJkycDALp166ZVnpSUBCsrK4SHhzc7RkeN11Ay29qYMBERmZDmqkZycrJW+fXr1wEA48aNA/DrD0RFRQWA2jvGCgsLtbZRqVSoqqrSGzM/P7/F9m1oAtMSHB0dlUHZdWmSk/pJipubGzZu3IgjR45olRva5vq4ubmhpKQEa9as0So/f/48YmJiDNpHYzSTOnp7eytlBw8eRFZWFkJDQ7XWPXHiRKeKd/fuXQC1A/3bChMmIiITCgkJgVqtxrp165Cbm6uUx8bGYuTIkXjrrbcA1P44A8CqVatw+fJlrF27VukaOnDgAGpqajBw4EDk5OQoP/x11U1sUlJSMGzYMMyfP79Z+05OToatrS3279/fkk3yQJ6enigqKsL9+/e1yjW3nTfUPTNt2jQsWbJEq8zQNi8rK9PZX1FREYDaW+InT54MFxcXrFy5ErNnz8b27dsRHh6OxYsXY9asWQCAyMhIPPXUU9ixY0ejxxYVFYWNGzcqiWp5eTlCQ0Ph6+ur1OfQoUNYvXo1qqurERsbi9jYWMTExODtt9/Gvn37OkU8jdu3bwMARo0a1WjcFmXs4Cdw0DcRUYOa+v1YVFQkISEh4uXlJcHBwRISEiIrV66U8vJyZZ309HQZMWKEWFlZiZeXl6Snp4uHh4cEBATIjh07pLy8XJYtWyaOjo6ya9cuZTvN4O2PPvpIbt++LXl5ebJ69WqtSf+M3ffBgwelb9++cvjw4Sa3kTGDvr///nsBIN99951SlpiYKN7e3gJAJk2aJD/88IPOdpWVlTJq1CitMn1tHhsbqwzgXrVqlRQWFiqD5QFIWFiYlJaWSmZmpvj4+EjPnj3FwcFB5s2bJ7du3VLivPHGG9KlSxfp169fo8e2YsUKGTRokNjZ2cmCBQskKChIUlJSlOXHjx9XBknXf6lUKvnll186RTyNTz/9VMzMzHTKG9PcQd8qEeOePqtSqRAfH4/p06cbmaoRET2c2tP345AhQ3DhwoV296DxadOmAQB27tzZpO0mTpwIV1dXREVFtUa1WkV6ejpmzpyJkydPMl4L8fHxgYODA7744guDt0lISICvr6/RfwvskiMiog5j06ZN2LdvX5veHdUcJSUlWLduHTZs2MB4LeTUqVNIT0/XmRm8tTFhIiJ6iBUXF2v9t6N77LHHsGvXLixZsqTBu9Pam4yMDLz//vtQq9WM1wJycnIQERGBlJQUnWkhWhsTJiKih1BxcTGWL1+uDNJetGhRm3aZtCa1Wo2IiAjExsaauip6qdXqNv1hf5jjVVVVYcuWLdi2bRsef/zxNolZl3mbRyQiolZnZWWFiIgIREREmLoqrcLZ2bnNH75KpmVubq7E7za/AAAgAElEQVQz3UBb4hUmIiIiIj2YMBERERHpwYSJiIiISA8mTERERER6MGEiIiIi0qNZM30TERERdSTGzvRt9LQC8fHxxm5KRPRAmkde1H9gKhGRKRl9hYmIqDVonr+WkJBg4poQEf2KY5iIiIiI9GDCRERERKQHEyYiIiIiPZgwEREREenBhImIiIhIDyZMRERERHowYSIiIiLSgwkTERERkR5MmIiIiIj0YMJEREREpAcTJiIiIiI9mDARERER6cGEiYiIiEgPJkxEREREejBhIiIiItKDCRMRERGRHkyYiIiIiPRgwkRERESkBxMmIiIiIj2YMBERERHpwYSJiIiISA8mTERERER6MGEiIiIi0oMJExEREZEeTJiIiIiI9GDCRERERKQHEyYiIiIiPZgwEREREenBhImIiIhIDyZMRERERHowYSIiIiLSgwkTERERkR7mpq4AEXVep06dwtmzZ7XKMjIyAABffPGFVvkzzzyDESNGtFndiIjqUomImLoSRNQ5JSUl4Y9//CPMzMzQpUvtBW/NV5JKpQIA1NTUoLq6Gnv37sWkSZNMVlci6tyYMBGRyVRWVqJ37964d+9eo+s9+uijuHXrFrp169ZGNSMi0sYxTERkMl27dsWMGTMaTYQMWYeIqLUxYSIik5oxYwYqKioeuLyyshKvvPJKG9aIiEgXu+SIyKRqamrQt29f3Lx5s8Hlffr0QW5urjLGiYjIFPgNREQm1aVLFwQEBDTY5datWzcEBgYyWSIik+O3EBGZ3IO65SoqKjBjxgwT1IiISBu75IioXXjiiSdw+fJlrTIXFxf88ssvJqoREdGveIWJiNoFf39/dO3aVXnfrVs3vPbaayasERHRr3iFiYjahcuXL+OJJ57QKrt48SJcXV1NVCMiol/xChMRtQuDBg3CM888A5VKBZVKhWeeeYbJEhG1G0yYiKjdmDlzJszMzGBmZoaZM2eaujpERAp2yRFRu5GdnQ0nJyeICK5fv45+/fqZukpERACYMJnctGnTTF0Fonbl6NGjAIAxY8aYtB5E7c3OnTtNXYVOjV1yJvb1118jKyvL1NUgAtA+zsf+/fvjN7/5jUnr0JiTJ0/i5MmTpq4GdSJZWVn4+uuvTV2NTo9XmExMpVIhPj4e06dPN3VViNrF+Xjnzh0AQM+ePU1Wh8ZorgrzX/vUVhISEuDr6wv+XJuWuakrQERUV3tNlIioc2OXHBEREZEeTJiIiIiI9GDCRERERKQHEyYiIiIiPZgwEREREenBhImIWtxzzz2HkJAQU1ejXbp06RIiIyORkJAAd3d3qFQqqNVqlJaWaq136NAhTJgwASqVCsOHD0dCQoKJaqxfWloapkyZgt69e6NPnz6YMWMGcnJytNaJi4vDs88+CxsbG7i7u2PTpk2dJl51dTXCwsJw48YNo+tA7YCQSQGQ+Ph4U1eDSERa7nz08/OT8PDwFqiRca5fv95q+546dapMnTrVqG2PHj0qr7zyilRUVIiISGFhoQAQADJv3jyd9TMzMwWAXLx4sVl1bk1paWny0ksvye7du+XMmTMSEBAgAGTs2LHKOmFhYeLv7y+xsbESFBQkFhYWAkDWrVvXaeLduXNHXn75ZcnIyGhyHeLj44U/16bHT8DEmDBRe/IwnI9XrlwRDw+PVtu/sQlTWlqa9O/fX/Lz87XKAcjo0aMbbPvKykoBoCRY7dHatWulpKREeV9ZWSm2trZibW0tIrXJ66uvvqq1zYEDBwSADBo0qFPFO3v2rKjVarl//36T6sCEqX1glxwRPTRu3LiBSZMm4datW6auihYRgb+/P2bNmtXgxJzx8fFwdHTE3LlzceXKFaXc3Lx2buGuXbu2WV2batGiRbCwsNAqq6qqwuzZswEAV69eRWRkpNZyLy8v9OnTB3l5eZ0q3tNPP42BAwfinXfeaXI9yPSYMBFRi6mpqcHOnTsRGBgIT09PAMCePXswf/58ODk5oaCgAIGBgejduzeGDh2Kn376CUDt89mWLl0KZ2dn3Lx5E1OnTkWvXr0wdOhQJCYmAgDWr1+PLl26QKVSAQCKiorw8ccfa5Vt3rwZP//8M3Jzc7FgwQKlXkeOHIGTkxOOHTvWls2h2LNnD06fPo0JEyY0uNzBwQEJCQkoKSmBr68vKisrH7ive/fuITQ0FMuWLUNwcDDGjx+P4OBgFBQUKLH0tTcAlJWV4cMPP8ScOXMwfPhwvPjiizh37lyzj/Xdd99FdHQ0oqOjAQAjR46Evb29znoVFRXw8PDodPHGjx+P9evXIyMjo9l1oTZm6ktcnR0egi4Qeni0xPl47do1ASBubm4iIpKVlSXW1tYCQCIiIuTq1auydetWASAjRoyQ6upqSUpKUsZ9LFy4UI4dOybbt28XGxsbASCpqakiIjJw4ECdron6ZXVja3zzzTdiaWkpe/fubdaxiRjXJTdjxgxRqVRSWVmps6xu3aOiogSALF26tMHlRUVF4urqKitWrFDK8vLyxNXVVVxcXKSgoEBve2vMnTtXLly4oLz38vISe3t7uXfvXpOOTWP37t1K16Kzs7Ns2LDhgeumpqaKhYWFnD592qhYHTnemTNnBIB88MEHBsdml1z7wE/AxJgwUXvSUudj/aRl8ODBOl/49vb20r17d+W9q6urAJDi4mKlLDo6WgCIn5+fiIi4ubnp7Kd+WUMJk4hIVVVV8w7qv4xJmAYMGCC2trYNLqt/PNOnTxeVSiXJyck6y5cvXy4AJCcnR2ubLVu2CAAJCQkREf3tferUKWWwef1XUlJSk45N4+7du5KWliYxMTFiaWkpAGTz5s0661VVVYmnp6d89dVXRsXp6PGys7MFgHh7exscmwlT+8AuOSJqdZous7rs7OxQXl6uvO/SpfbryNLSUinz8fEBUHsrfnOZmZk1ex/Gys3NhZ2dnUHrxsXFwc3NDYGBgcjOztZalpqaCgCwsbHRKh89ejQA4Pjx4wD0t/ePP/4ItVoNqf1Hs9Zr4sSJTTu4/7K1tcWQIUPw5ptv4vPPPwcAbNmyRWe99957D2PHjoWfn59RcTp6PFtbWwDAzZs3m1UfantMmIio3erbty8AwMnJycQ1aR4zMzNUV1cbtK61tTUSExNRWloKf39/rWWapDIzM1OrXDOGpkePHgbFyM/PR0ZGBkpKSnSW1dTUGLSPxkyePBkA0K1bN63ypKQkWFlZITw8vNkxOmq8hpJZ6hiYMBFRu5Wfnw8AGDduHIBff2wqKioA1N59VlhYqLWNSqVCVVWVzr4MTVhag6OjozIouy5NclI/SXFzc8PGjRtx5MgRrXLNlaTk5GSt8uvXrwP4tZ30cXNzQ0lJCdasWaNVfv78ecTExBi0j8ZoJnX09vZWyg4ePIisrCyEhoZqrXvixIlOFe/u3bsAagf6U8fChImIWtT9+/cB1N7NpVFWVqazXlFREQDoJDd1E5uUlBQMGzYM8+fPB1D7Qw8Aq1atwuXLl7F27Vqlm+nAgQOoqanBwIEDkZOToyQRQG2CYWtri/3797fEITaZp6cnioqKlLbR0Nx23lD3zLRp07BkyRKtspCQEKjVaqxbtw65ublKeWxsLEaOHIm33noLgP72njx5MlxcXLBy5UrMnj0b27dvR3h4OBYvXoxZs2YBACIjI/HUU09hx44djR5bVFQUNm7cqCSu5eXlCA0Nha+vr1KfQ4cOYfXq1aiurkZsbCxiY2MRExODt99+G/v27esU8TRu374NABg1alSjcakdMuUAKuKgb2pfmns+FhcXy7Jly5QBxB9//LGsXr1aeb9q1SopLCxUBnMDkLCwMCktLVUGb3/00Udy+/ZtycvLk9WrV2tN8peeni4jRowQKysr8fLykvT0dPHw8JCAgADZsWOHlJeXy7Jly8TR0VF27dqlbHfw4EHp27evHD58uFntI2LcoO/vv/9eAMh3332nlCUmJoq3t7cAkEmTJskPP/ygs11lZaWMGjVKq6yoqEhCQkLEy8tLgoODJSQkRFauXCnl5eUiIhIbG2tQe2dmZoqPj4/07NlTHBwcZN68eXLr1i0lzhtvvCFdunSRfv36NXpsK1askEGDBomdnZ0sWLBAgoKCJCUlRVl+/PhxZZB0/ZdKpZJffvmlU8TT+PTTT8XMzEynvDEc9N0+qERE2iAvowdQqVSIj4/H9OnTTV0VIpOej0OGDMGFCxfQ3r+Spk2bBgDYuXNnk7abOHEiXF1dERUV1RrVahXp6emYOXMmTp48yXgtxMfHBw4ODvjiiy8M3iYhIQG+vr7t/m/jYccuOSKiNrBp0ybs27evw9wdVVJSgnXr1mHDhg2M10JOnTqF9PR0nZnBqWNgwkRE7UJxcbHWfx82jz32GHbt2oUlS5Y0eHdae5ORkYH3338farWa8VpATk4OIiIikJKSojMtBHUMTJjIJOrf2USdV3FxMZYvX64M0l60aFGbdpG0JbVajYiICMTGxpq6Knqp1eo2/WF/mONVVVVhy5Yt2LZtGx5//PE2iUktjwkTNUtcXByeffZZ2NjYwN3dHZs2bXrguuXl5Xj//ffx+9//Hr169WpyrOzsbGzatAm+vr74/e9/35xqA6gdg/LHP/4Rv/3tbzF+/HhMnjwZb731FtasWWPSh2M21qYpKSnw9vaGSqWCSqXCCy+8gBdeeAHDhw/H5MmTERcXp9xy31FYWVkhIiJCmTgxLi4Ozz33nKmr1WqcnZ358NVOxtzcHKGhobyy1MGZm7oC1HEtW7YMWVlZmDt3LtLT0/HFF1/g9ddfR3FxsXK7bV3du3fH22+/jcjISKPmxOnbty/GjRuH119/Xbm93Bi3b9/G9OnTcf36dWzbtg2/+93vANTO6bN9+3YEBQVhypQpRu+/OfS16bhx4/Dkk0+iX79+cHZ2xuHDh5W6JycnY/HixVizZg3+7//+D08++aRJjoGI6GHEhImMkpWVhevXr2Pr1q1Kmbe3N8aPH4+1a9c2mDABwCOPPILHHnsMd+7cMSpuc2d8FhFMmTIF58+fx6VLl9CzZ09lmUqlwquvvorHH38cn332WbPiGMPQNtXMft29e3dlPZVKhUmTJmHYsGEYNmwYfHx8cO7cOTzyyCNtexBERA8pdsmRUa5evapzp4eXlxf69OmjTMbXHiUmJiI1NRVhYWFayVJdnp6eyq3jbakl2tTR0RF//etf8csvv/BOHCKiFsSEqYMpLi7GqlWrEBAQgKCgIIwZMwZr165Vlt+7dw+hoaFYtmwZgoODMX78eAQHByuPZdizZw/mz58PJycnFBQUIDAwEL1798bQoUPx008/AQC+/vpr9OrVCyqVSuuZSJ9++inMzMywfv16jBw5Unl+VV0VFRXw8PBQ3peWliI4OBjz589HeHg4/vznP7faXVBHjhyBk5MTjh079sB1EhMTAQBjx45tdF8vv/yy8v/trU31mTp1KszMzPDdd98ZvA0REelhsikzSUSaNrNyZWWljBkzRgICAqSmpkZERDZt2iQAZO/evVJUVCSurq6yYsUKZZu8vDxxdXUVFxcXKSgokKysLLG2thYAEhERIVevXpWtW7cKABkxYoSy3bp16wSAfPvtt0rZtWvX5JVXXnlg/VJTU8XCwkJOnz4tIiJVVVUyYsQImTt3rrLOL7/8Iubm5s2atRaAuLm56ZR/8803YmlpKXv37n3gtsOHDxcAUlhYaFCs9tam+tpAw9HRUXr16mXQMdbfL2eeb5wxM30TNQdn+m4f+AmYWFN+oD7++GMBIBcvXlTKqqqqZNOmTXL37l1Zvny5AJCcnByt7bZs2SIAJCQkREREBg8erPPHZ29vL927d1feV1RUSP/+/cXHx0cpCw8PlzNnzjRYt6qqKvH09JSvvvpKKYuJiREAcv78ea11XV1dWyVh0tSjMc8991yDbfQg7a1NNfQlTE5OTtK3b1/9B9jAfvnii6/2+SLT4qDvDuTo0aMAoDWPh5mZGQIDAwEAqampAKBz66rmCefHjx8H8OsT3+uys7PTmoG4a9euCAoKwjvvvIOMjAw4OTnh4sWLcHd3b7Bu7733HsaOHQs/Pz+lTNMlNGDAAK11u3RpvZ5gMzOzRpc/+eSTOHnyJM6fP2/Q08LbW5saorKyEjdv3jT4yfX1LV68GM8//7xR23YGmkeb1H8wLlFrOXHiBKKjo01djU6PCVMHovnxvXTpEp555hmd5ZpEJDMzE0899ZRSrhkX06NHjybFmzNnDlasWIGYmBg8//zzmDp1aoPrJSUlwcrKCqGhoVrlN27cAADk5+ejX79+TYrdWjw9PbFx40acPHkSf/jDH/Su397a1BCHDx9GRUWF3nFaD/L888/z2YaN0DxDjm1EbYkJk+lx0HcHokmSNJP8aVy9ehXffvutctUjOTlZazvNDMpNveLw6KOPYs6cOdi4cSPi4+Px0ksv6axz8OBBZGVl6fywnzhxQpkrqX59WpO++Z38/f0xbNgwrF27Fjk5OQ2uU15eji1btgBAu2tTfSoqKvDnP/8Zzz77LBYtWtSkuhER0YMxYepAwsLCYGVlhZ07d2LcuHH45JNP8O677+KDDz7AhAkTEBISArVajXXr1iE3N1fZLjY2FiNHjlTm8SkrK9PZd1FREYDaKfzrWrRoEe7fv49nn30W5ubaFyQPHTqE1atXo7q6GrGxsYiNjUVMTAzefvtt7Nu3D++88w7Mzc3x5z//GQcOHEBpaSmOHDmC7OxsALVXbZqqtLQUQMOJUXJyMmxtbbF///4Hbt+lSxds3boVjzzyCEaNGoXdu3cr+9LUb+LEiRg8eDAAtLs2rdsG9WOeOXMGL774Iu7evYtt27bp7JuIiIzHb9QOxNnZGSdPnsTSpUvxj3/8AxcvXsS0adPw4YcfQqVSwcLCAidOnMBf//pXvPbaaxg6dCjMzMzQq1cvHD58GObm5vjkk0+URCUiIgILFy7Epk2blO6z8PBw/M///I8y4eGAAQOwcOFCLFiwQKsuJ06cgI+PD0pKSpTZpjVUKhUuX74MFxcXHD58GMuWLcO0adPQp08fzJs3D+7u7njyySeRkZGB/v37Gzym6ejRo/jqq68A1CZbf/vb3+Dl5aVceevevTseffRRrQkdG+Lm5oZz587hk08+QVxcHIKDg2FlZQVzc3NMnDgRCQkJyhxN7a1NU1NTlUelZGZm4g9/+AO6d++O7t27o2vXrvD19cVrr70GKysrg9qUiIgMo5K6fTvU5lQqFeLj4zkegtoFno/6aSY11YxlImptCQkJ8PX1BX+uTYtdcmRSmofINva6ePGiqatJRESdHLvkyKT4LyYiIuoIeIWJiKgNXbp0CZGRkUhISIC7uztUKhXUarUymF/j0KFDmDBhAlQqFYYPH46EhAQT1Vi/tLQ0TJkyBb1790afPn0wY8YMnbtQ4+Li8Oyzz8LGxgbu7u7KWLzOEK+6uhphYWHKuEbqoEw6bSYJwEdRUPthyvPx+vXrHWLfzXk0ytGjR+WVV16RiooKEREpLCxUZnGeN2+ezvqZmZkCaM/u396kpaXJSy+9JLt375YzZ85IQECAAJCxY8cq64SFhYm/v7/ExsZKUFCQWFhYCABZt25dp4l3584defnllyUjI6PJdeCjUdoHfgImxoSJ2hNTnY9XrlwRDw+PDrFvYxOmtLQ06d+/v+Tn52uVA5DRo0c32PaVlZUCQEmw2qO1a9dKSUmJ8r6yslJsbW3F2tpaRGqT1VdffVVrmwMHDggAGTRoUKeKd/bsWVGr1XL//v0m1YEJU/vALjkiMqkbN25g0qRJuHXrVofad1OICPz9/TFr1ixlyoq64uPj4ejoiLlz5+LKlStKuWYura5du7ZZXZtq0aJFsLCw0CqrqqrC7NmzAdROrBsZGam13MvLC3369EFeXl6nivf0009j4MCBeOedd5pcDzI9JkxEZLR79+4hNDQUy5YtQ3BwMMaPH4/g4GAUFBQAANavX48uXbooz9orKirCxx9/rFW2efNm/Pzzz8jNzVXmptLMN+bs7IybN29i6tSp6NWrF4YOHYrExMRm7RsAjhw5AicnJxw7dqxN2mnPnj04ffo0JkyY0OByBwcHJCQkoKSkBL6+vqisrHzgvvS1+Z49ezB//nw4OTmhoKAAgYGB6N27N4YOHYqffvpJ2U9ZWRk+/PBDzJkzB8OHD8eLL76Ic+fONftY3333XURHRyuP8hg5cqTyKKG6Kioq4OHh0enijR8/HuvXr0dGRkaz60JtzNSXuDo7sEuO2pGmnI9FRUXi6uoqK1asUMry8vLE1dVVXFxcpKCgQEREBg4cqNOdUL8MgLi5uYmISHV1tSQlJSnjQBYuXCjHjh2T7du3i42NjQCQ1NRUo/at8c0334ilpaXs3bvXoGOty5guuRkzZohKpZLKykqdZXXrGhUVJQBk6dKlDS43pM2zsrLE2tpaAEhERIRcvXpVtm7dKgBkxIgRynZz586VCxcuKO+9vLzE3t5e7t2716Rj09i9e7fStejs7CwbNmx44LqpqaliYWEhp0+fNipWR4535swZASAffPCBwbHZJdc+8BMwMSZM1J405Xxcvny5AJCcnByt8i1btggACQkJERERNzc3nS/7+mUNJTWurq4CQIqLi5Wy6OhoASB+fn7N2reISFVVlUHHWZ8xCdOAAQPE1ta2wWX16z99+nRRqVSSnJyss9zQNh88eLDOfu3t7aV79+4iInLq1CllsHn9V1JSUpOOTePu3buSlpYmMTExYmlpKQBk8+bNOutVVVWJp6enfPXVV0bF6ejxsrOzBYB4e3sbHJsJU/vALjkiMkpqaioAwMbGRqtc88Di48ePN2v/mkfmWFpaKmU+Pj4Aam/Nby4zM7Nm78NQubm5sLOzM2jduLg4uLm5ITAwUHnuooahba7pkqzLzs4O5eXlAIAff/wRarUaUvuPZq3XxIkTm3Zw/2Vra4shQ4bgzTffxOeffw4AykOs63rvvfcwduxY+Pn5GRWno8eztbUFANy8ebNZ9aG2x4SJiIyiSWjqP0RZM56jR48eLR6zb9++AAAnJ6cW33drMjMza/CB0Q2xtrZGYmIiSktL4e/vr7Wspdo8Pz8fGRkZKCkp0VlWU1Nj0D4aM3nyZABAt27dtMqTkpJgZWWF8PDwZsfoqPEaSmapY2DCRERG0VzVSE5O1iq/fv06AGDcuHEAfv2BqKioAFB7x1hhYaHWNiqVClVVVXpj5ufnt9i+DU1gWoKjo6MyKLsuTXJSP0lxc3PDxo0bceTIEa1yQ9tcHzc3N5SUlGDNmjVa5efPn0dMTIxB+2iMZlJHb29vpezgwYPIyspCaGio1ronTpzoVPHu3r0LoHagP3UsTJiIyCghISFQq9VYt24dcnNzlfLY2FiMHDkSb731FoDaH2cAWLVqFS5fvoy1a9cqXUMHDhxATU0NBg4ciJycHOWHv666iU1KSgqGDRuG+fPnN2vfycnJsLW1xf79+1uySR7I09MTRUVFuH//vla55rbzhrpnpk2bhiVLlmiVGdrmZWVlOvsrKioCUHtL/OTJk+Hi4oKVK1di9uzZ2L59O8LDw7F48WLMmjULABAZGYmnnnoKO3bsaPTYoqKisHHjRiVRLS8vR2hoKHx9fZX6HDp0CKtXr0Z1dTViY2MRGxuLmJgYvP3229i3b1+niKdx+/ZtAMCoUaMajUvtkAnHT5Fw0De1L009H4uKiiQkJES8vLwkODhYQkJCZOXKlVJeXq6sk56eLiNGjBArKyvx8vKS9PR08fDwkICAANmxY4eUl5fLsmXLxNHRUXbt2qVspxm8/dFHH8nt27clLy9PVq9erTXpn7H7PnjwoPTt21cOHz7c5DYyZtD3999/LwDku+++U8oSExPF29tbAMikSZPkhx9+0NmusrJSRo0apVWmr81jY2OVAdyrVq2SwsJCZbA8AAkLC5PS0lLJzMwUHx8f6dmzpzg4OMi8efPk1q1bSpw33nhDunTpIv369Wv02FasWCGDBg0SOzs7WbBggQQFBUlKSoqy/Pjx48og6fovlUolv/zyS6eIp/Hpp5+KmZmZTnljOOi7fVCJ8OmnpqRSqRAfH4/p06ebuipE7ep8HDJkCC5cuNDuHtA8bdo0AMDOnTubtN3EiRPh6uqKqKio1qhWq0hPT8fMmTNx8uRJxmshPj4+cHBwwBdffGHwNgkJCfD19W13fwudDbvkiIjawKZNm7Bv374Oc3dUSUkJ1q1bhw0bNjBeCzl16hTS09N1ZganjoEJExG1S8XFxVr/7egee+wx7Nq1C0uWLGnw7rT2JiMjA++//z7UajXjtYCcnBxEREQgJSVFZ1oI6hiYMBFRu1JcXIzly5crg7QXLVrUpl0mrUmtViMiIgKxsbGmropearW6TX/YH+Z4VVVV2LJlC7Zt24bHH3+8TWJSyzM3dQWIiOqysrJCREQEIiIiTF2VVuHs7MyHr3Yy5ubmOtMNUMfDK0xEREREejBhIiIiItKDCRMRERGRHkyYiIiIiPTgoO92oCWebUTUUng+Ni4rKwtA7WSCRG2Bf5PtA2f6NjE+uZqIiAzBn2vT4hUmE+MfAJE2zWNZeAWHiNoTjmEiIiIi0oMJExEREZEeTJiIiIiI9GDCRERERKQHEyYiIiIiPZgwEREREenBhImIiIhIDyZMRERERHowYSIiIiLSgwkTERERkR5MmIiIiIj0YMJEREREpAcTJiIiIiI9mDARERER6cGEiYiIiEgPJkxEREREejBhIiIiItKDCRMRERGRHkyYiIiIiPRgwkRERESkBxMmIiIiIj2YMBERERHpwYSJiIiISA8mTERERER6MGEiIiIi0oMJExEREZEeTJiIiIiI9GDCRERERKQHEyYiIiIiPZgwEREREenBhImIiIhIDyZMRERERHowYSIiIiLSQ7eyuuAAACAASURBVCUiYupKEFHntG3bNsTFxaGmpkYpu3LlCgDA2dlZKevSpQtmz56NV199tc3rSEQEMGEiIhP697//jWeeecagdc+ePYunn366lWtERNQwJkxEZFJubm64ePFio+sMGjQIly5daqMaERHp4hgmIjKpgIAAdO3a9YHLu3btilmzZrVhjYiIdPEKExGZVEZGBgYNGoTGvoouXbqEQYMGtWGtiIi08QoTEZmUi4sLfvvb30KlUuksU6lU+H//7/8xWSIik2PCREQmN3PmTJiZmemUm5mZYebMmSaoERGRNnbJEZHJ5eXlwdHRUWt6AaB2OoHs7GzY29ubqGZERLV4hYmITO6xxx6Dp6en1lUmMzMzjBkzhskSEbULTJiIqF0ICAjQGfgdEBBgotoQEWljlxwRtQv37t1Dnz59UFFRAaB2OoG8vDzY2tqauGZERLzCRETtxKOPPooJEybA3Nwc5ubm8Pb2ZrJERO0GEyYiajf8/f1RXV2N6upqPjeOiNoVdskRUbtRVlaG3r17Q0Rw+/ZtWFhYmLpKREQAGkiYEhIS4Ovra6r6EBEREZlUfHw8pk+frlVm3tjKRERt7V//+hdUKhWeeeYZU1elVUVFRQEAlixZYuKatF8nTpxAdHQ0f4+oTT3ootEDE6b6mRURUVt4+eWXAQDm5g/8enoo7Ny5EwC/a/WJjo5mG1GbanLCRERkCg97okREHRPvkiMiIiLSgwkTERERkR5MmIiIiIj0YMJEREREpAcTJiIiIiI9mDAREXVgzz33HEJCQkxdjXbp0qVLiIyMREJCAtzd3aFSqaBWq1FaWqq13qFDhzBhwgSoVCoMHz4cCQkJJqqxfmlpaZgyZQp69+6NPn36YMaMGcjJydFaJy4uDs8++yxsbGzg7u6OTZs2dZp41dXVCAsLw40bN4yuwwNJPfHx8dJAMRERtaCpU6fK1KlTm70fPz8/CQ8Pb4EaGef69euttu/m/B4dPXpUXnnlFamoqBARkcLCQgEgAGTevHk662dmZgoAuXjxYrPq3JrS0tLkpZdekt27d8uZM2ckICBAAMjYsWOVdcLCwsTf319iY2MlKChILCwsBICsW7eu08S7c+eOvPzyy5KRkdHkOoiIAJD4+Hjd8voFTJiIiFpfSyVMpnTlyhXx8PBotf0b+3uUlpYm/fv3l/z8fK1yADJ69OgGfxArKysFgJJgtUdr166VkpIS5X1lZaXY2tqKtbW1iNQmr6+++qrWNgcOHBAAMmjQoE4V7+zZs6JWq+X+/ftNrseDEiZ2yRERUZPduHEDkyZNwq1bt0xdFS0iAn9/f8yaNQs9e/bUWR4fHw9HR0fMnTsXV65cUco1E6Z27dq1zeraVIsWLdJ5IHVVVRVmz54NALh69SoiIyO1lnt5eaFPnz7Iy8vrVPGefvppDBw4EO+8806T6/EgTJiIiDqgmpoa7Ny5E4GBgfD09AQA7NmzB/Pnz4eTkxMKCgoQGBiI3r17Y+jQofjpp58AACdPnsTSpUvh7OyMmzdvYurUqejVqxeGDh2KxMREAMD69evRpUsXqFQqAEBRURE+/vhjrbLNmzfj559/Rm5uLhYsWKDU68iRI3BycsKxY8fasjkUe/bswenTpzFhwoQGlzs4OCAhIQElJSXw9fVFZWXlA/d17949hIaGYtmyZQgODsb48eMRHByMgoICJZa+9gaAsrIyfPjhh5gzZw6GDx+OF198EefOnWv2sb777ruIjo5GdHQ0AGDkyJGwt7fXWa+iogIeHh6dLt748eOxfv16ZGRkNLsuADiGiYjIFFqiS+7atWsCQNzc3EREJCsrS6ytrQWAREREyNWrV2Xr1q0CQEaMGCHV1dWSlJSkjPtYuHChHDt2TLZv3y42NjYCQFJTU0VEZODAgTq/BfXL6sbW+Oabb8TS0lL27t3brGMTMe73aMaMGaJSqaSyslJnWd19RUVFCQBZunRpg8uLiorE1dVVVqxYoZTl5eWJq6uruLi4SEFBgd721pg7d65cuHBBee/l5SX29vZy7969Jh2bxu7du5WuRWdnZ9mwYcMD101NTRULCws5ffq0UbE6crwzZ84IAPnggw+aFB8cw0RE1H601Bim+knL4MGDdb7D7e3tpXv37sp7V1dXASDFxcVKWXR0tAAQPz8/ERFxc3PT2U/9soYSJhGRqqqq5h3UfxnzezRgwACxtbVtcFn9fU2fPl1UKpUkJyfrLF++fLkAkJycHK1ttmzZIgAkJCRERPS396lTp5TB5vVfSUlJTTo2jbt370paWprExMSIpaWlAJDNmzfrrFdVVSWenp7y1VdfGRWno8fLzs4WAOLt7d2k+A9KmNglR0T0ENF0mdVlZ2eH8vJy5X2XLrVf/ZaWlkqZj48PgNpb8ZvLzMys2fswVm5uLuzs7AxaNy4uDm5ubggMDER2drbWstTUVACAjY2NVvno0aMBAMePHwegv71//PFHqNVqSO0FCq3XxIkTm3Zw/2Vra4shQ4bgzTffxOeffw4A2LJli8567733HsaOHQs/Pz+j4nT0eLa2tgCAmzdvNqs+GkyYiIgIffv2BQA4OTmZuCbNY2ZmhurqaoPWtba2RmJiIkpLS+Hv76+1TJNUZmZmapVrxtD06NHDoBj5+fnIyMhASUmJzrKamhqD9tGYyZMnAwC6deumVZ6UlAQrKyuEh4c3O0ZHjddQMtscTJiIiAj5+fkAgHHjxgH49cemoqICQO3dZ4WFhVrbqFQqVFVV6ezL0ISlNTg6OiqDsuvSJCf1kxQ3Nzds3LgRR44c0SrXXElKTk7WKr9+/TqAX9tJHzc3N5SUlGDNmjVa5efPn0dMTIxB+2iMZlJHb29vpezgwYPIyspCaGio1ronTpzoVPHu3r0LoHagf0tgwkRE1EHdv38fQO3dXBplZWU66xUVFQGATnJTN7FJSUnBsGHDMH/+fAC1P/QAsGrVKly+fBlr165VupkOHDiAmpoaDBw4EDk5OUoSAdQmGLa2tti/f39LHGKTeXp6oqioSGkbDc1t5w11z0ybNg1LlizRKgsJCYFarca6deuQm5urlMfGxmLkyJF46623AOhv78mTJ8PFxQUrV67E7NmzsX37doSHh2Px4sWYNWsWACAyMhJPPfUU/j979x4WVbX+Afw7Il4hASFBxUQQscbSfDyaiHoy0UcNs6OAih7K1KOlRBhi6vmZR8zM61G6ecFMTTD1qGiZmGahUKnZSVJUREVQ8AISIAzw/v7gzI5hwOEyMFy+n+eZp4e1195r7bV3e15nrb3Wzp07H3luq1evxubNm5XANS8vD3PnzoWPj49Sn6NHj2LZsmUoLCxEWFgYwsLCsH79erz11ls4dOhQoyhP686dOwCAAQMGPLLcCis9qImDvomIal51B31nZ2fLvHnzlAHEq1atkmXLlil/L1myRDIzM5XB3AAkJCREcnNzlcHbK1askDt37khaWposW7ZMZ5K/hIQE6du3r7Ru3Vo8PT0lISFBPDw8ZNKkSbJz507Jy8uTefPmiYODg+zevVvZ78iRI9K+fXv59ttvq9U+IlX7Pvruu+8EgHzzzTdK2p49e2TEiBECQEaNGiXff/+93n4ajUYGDBigk5aVlSXBwcHi6ekpQUFBEhwcLIsXL5a8vDwREQkLC6tQeyclJYmXl5fY2NiIvb29TJs2TdLT05VyZs6cKU2aNJEOHTo88twWLVokLi4uYm1tLTNmzJCAgACJjo5Wtp88eVIZJF36o1Kp5MqVK42iPK2PPvpIzMzM9NINQTmDvlX/26iIjIyEj48PSiUTEZERjRs3DgCwa9euWi+7e/fuuHDhQp1/zlf1+2jkyJFwdXXF6tWra6hmxpeQkIDJkycjNjaW5RmJl5cX7O3t8emnn1ZqP5VKhYiICHh7e+uks0uOiIgalPDwcBw6dMhob0fVtJycHKxbtw4bN25keUYSFxeHhIQEvZnBq8NoAVPJPvTaZKpy64q0tDTs2rULS5cuNXVVyAga0/3Me9d0srOzdf7b0Dz++OPYvXs3AgMDy3w7ra5JTEzE0qVLoVarWZ4RpKamIjQ0FNHR0XrTQlRHtQKmwsJCvP/++/Dw8EDbtm2NVacKWbFiBQYNGlTr5dYlFy5cwOLFi+Ht7Y3PP/9cZ1u/fv0QHBxc43WorXLKk5KSgvDwcPj4+KB///5VOkZAQABsbW2hUqlgbm6OF198EcOHD0efPn0wfPhwfPnll0autb6K3M+RkZHo2bMnVCoV1Go1cnNzdbYfPXoUw4cPh0qlQp8+fRAZGVnT1a4y3rumkZ2djfnz5yuDtGfPnl2rXSS1Sa1WIzQ0FGFhYaauikFqtdqoX+yNubyCggJs3boV27dvR8eOHY178NKDmio7yC43N1dsbGyMMlD8xo0bFc778OFDadu2baMfoP7w4cMyZ9v19fWVhQsXGrWssq5PTZRTWaWXh6iK1NRUASCurq5KWl5enrz55pvK4NjKqon7OTMzUxnkOG3aNL3tSUlJAkAuXrxY6frWtsZ+7xprpu+GjC8hkSmgJpdGKWsK/cq6evWqeHh41Hq5DUF1g4WKqMr1qU3GaIOyjqHRaKRly5bSpUuXSh2rJu9nAMo6S6X/p9ZoNAJA8vPzK1W2qTTme5cBk2EMmMgUyguY6sSg75s3b2LUqFFIT083dVWoDI35+jRt2hSWlpaVGltUG+0VEREBBwcHTJ06FVevXlXSmzZtCgAwNzevsbLrk8Z87xKRcRk1YLp8+TK8vLxgY2ODv/zlLzh+/Liy7dKlSxg3bhxCQkIwefJkDBw4EP/9738BAFu2bMH58+dx69YtzJgxQ9knOzsbS5YswaRJkxAQEIDBgwdj7dq1euWmp6dj7NixaNu2LdRqNX7++ecK13n//v2YPn06HB0dkZGRAX9/f9ja2qJHjx44ffq0ku/BgweYO3cu5s2bh6CgIAwbNgxBQUHIyMhAUVERvvvuOwQGBsLJyQkpKSkYPHgwnnjiCaSkpGD79u2YMGEC3N3dERsbi2effRadO3dGTEwMEhISMGbMGNjZ2aF79+46ZRpqt7IUFRVh165d8Pf3x6BBg5R0Gxsb+Pr6IjAwEIGBgbC3t4eZmRl++umnKl2f8sp5VDtVpr2N5dixY3B0dMSJEyeqtP+XX36JtLQ0vPrqqzrppr6f7e3tERkZiZycHPj4+ECj0ZR7Drx36+e9S0R1TOmfnKrTJffmm2/KkSNH5JNPPpHWrVuLmZmZ/PrrryIi0rVrV3F2dhaR4m4DKysrUavVOj+BlfxpXqPRyODBg2XSpElSVFQkIiLh4eECQA4cOKBT7v/93/9JUlKSHDx4UADIc889V+G6Jycni4WFhQCQ0NBQuXbtmmzbtk0ASN++fUWkePIyV1dXWbRokbJfWlqauLq6SpcuXSQtLU1nQq333ntPoqOj5bXXXpOsrCy5fPmyAJA2bdrIwYMHJT4+XgBI586d5YMPPpDMzEw5e/asAJDBgwfr1M9Qu5XVdqXH9BQUFOjU/euvvxYAMnfu3AqXU7qMssox1E4ZGRkVau+qKKt+IiL79u2TVq1aKfeMoWO0adNG/P39xc/PT/r37y/W1tby6aefKveglinv55L/f65evVoAyJw5c8rcznu37t677JIzjF1yZAqoyYkrtZOgPXjwQBkJ/+9//xsBAQH4+9//ji1btmD16tVwcHCAr68vRARdu3bF9evXlXWKVCoV3Nzc8PvvvwMoniL9rbfewsWLF+Hq6gqg+K28zz//HC+99JKymvGFCxdQVFSkrHtka2uL3NzcSr0u6+bmhosXL+qcs729PTIyMvDw4UMsWLAAoaGhSE1N1VmT5vPPP8fkyZMRHByM999/XznOvXv39FbLLn1+HTt2xM2bN3XKbNeuHfLz85X1b7Tt8Kh2K+vYZaU9fPgQLVq0QEZGBtRqNWxsbPDzzz8rCxpW9vqUVU5l26m89q6K8uoHFN83FVk9XaVSwcXFBUePHkVOTg5u3LiBvXv3Ijw8HK+//jqWL1+uLMhpyvtZpVLptJ2Pjw927dqFqKgojBgxQmc77926e++OGzcOycnJekty0J9OnTqFNWvWICIiwtRVoUbEx8enzIkrmxqzkJKvDb700ksICAhAfHw8ACAwMBDZ2dn48MMPce/ePeTl5T2yG0HbnVfytUAzMzP4+/vr5S25IrGdnR0uXLhQqXqXtaKxtbW1MulZTEwMAOi9FqldnPHkyZM6xyn9hVOWsl6xtLGx0at7ZdutPC1atABQ/Bpxeno6Dh48qLP6szHKqWw7lVSyvY2tIsGSVtOmTdGpUycAxYH00KFD8eSTT2LWrFmws7NTFnusS/fzpk2b8N///hf+/v745ZdfdLbx3q0YU927sbGx8PHxqdK+jQnbiOqCGhv03a5dOwBQvnx++ukn9OjRA126dMGCBQtgYWHxyP21D6BLly7VVBUrTPurQlJSkk669hzbtGlTY2VXtt0e5T//+Q8+//xzvPvuu3jmmWeMXo4p26kmaZew2Ldvn5JWl+5nCwsL7NmzB7m5ufDz89PZxnu3YkzVTmPHjoUUv63MTxkf7S9Lpq4HP43rU+5zokaeAoAyMdqoUaMAAJMnT4ZGo8Hw4cMBFA+8LEmlUumspK19KIaGhuqcwLVr1/DVV1/VVLXLpP1X5sGDB3XStef4wgsv1FjZhtqtou7cuYPp06fjueeew9tvv62knzt3rkLllL4+ZTFlOz1KyRXZq0Ib7Dg4OChpprqfteWULs/NzQ2bN2/GsWPHdNJ579bve5eI6hAppSqD7Lp37y4A5N69e0razJkzZfTo0crfbdq0EZVKJd98841s375dHn/8cQEgcXFxcuPGDXFxcZHWrVvL9evXRUQkMTFRWrduLQDk+eefl7CwMFm4cKFMnz5dGTTbvn17ASAPHjxQynFwcBAAOqtuG9K5c2e9c+7QoYMAEI1GIzk5OaJWq6Vjx46Smpqq5AkICBB3d3fRaDQ6xylddm5urgCQbt26KWnOzs4CQLKysvTqUVhYWOF2y8nJUQbhamVlZQkAad++vZL2t7/9TVq3bi2XLl1S0u7duychISEVKqf09SmrnMq2U3ntXVnaNujatavetqioKLGwsJCvvvrqkcfQXqNOnTrppN++fVv69+8vzZo1kx9//FFJN9X9rJ1gMyUlpczzCAwM1Glb3rt1997loG/DOOibTAHlDPo2W7Ro0aKSAdT58+fx5ZdfolTyI3Xr1g0ZGRn4/PPPcerUKURHR6N79+744IMPlD7/xx57DD/88AN+/fVXTJw4EV26dEFcXByuX7+OsWPHIjMzE7///jt69uyJ7t27w9raGl5eXkhMTMTp06cRGxsLFxcXLF26FM2bN8fKlSuxZ88eAEBubi48PDywdu1a7N27FwCQl5eHwYMHGxy/8uGHH2LHjh0Aiueu6dmzJz7++GNlBXGNRoPBgwfj1Vdfxf379/Hxxx/j3LlzOHr0KKysrLBhwwZoNBosW7ZMKfvOnTtwdHSEvb090tLSsHjxYpw6dQp//PEHnnvuOVy+fBkffvghioqKkJ2djb59+2LTpk3YuXMngOIuFjc3N7Rq1eqR7da7d2+sXLkScXFxyMjIgLW1NTp16oSVK1fihx9+QFZWFtq0aYOLFy/ivffeQ7du3XD37l0cPnwYX375JRYsWIDBgwfjueeeq/T1ycnJQWhoqE45PXv2xGuvvVZuO5mbm1eovQcMGKDMJ2TI8ePHsWLFCpw+fRpZWVlo0aIFLCwslIG7169fx1dffQVvb284OTmVeYw9e/Zg8eLFiI+PR2ZmJr7++mvs3r0bH330ET7++GO4ublh+/bt6Nmzp7KPKe7n+/fv41//+hcuXbqEixcvolOnTkqXt9aQIUNw7NgxZRoEc3NzTJ48mfduHbx3tfuVHlhKf6rK9xFRdb377rsYN24cnnrqKZ10o7wlR0RElaMdG6cNnEgfv4/IFFQqVZlvydWJmb5rikqlMvi5ePGiqatJpfC6ERFRXWPUaQXqGv6rpH7idSMiorqmQf/CRERERGQMDJiIiKhBunTpElauXInIyEj07NkTKpUKarUaubm5OvmOHj2K4cOHQ6VSoU+fPoiMjDRRjQ2Lj4/HSy+9BFtbW9jZ2WH8+PFITU3VybNp0yb06tULlpaW6NmzJ8LDwxtNeYWFhQgJCcHNmzerXIdylX5tjq9xEhHVPFNPK3Djxo06f+zqfB8dP35cJkyYIPn5+SIikpmZKQAEgEybNk0vf1JSkgCQixcvVqvONSk+Pl7GjBkje/fulbNnz8qkSZMEgAwZMkTJExISIn5+fhIWFiYBAQHSsmVLASDr1q1rNOXdu3dPXn75ZUlMTKx0HUTKn1aAARMRkQmYMmC6evWqeHh41PljV/X7KD4+Xjp16iR3797VSQcgAwcOLPMLUaPRCAAlwKqL1q5dKzk5Ocrf2sWmLSwsRKQ4UJ04caLOPocPHxYA4uLi0qjKO3funKjV6krNyahVXsDELjkiokbk5s2bGDVqFNLT0+vVsStKRODn54dXXnkFNjY2etsjIiLg4OCAqVOn4urVq0q6dv4sc3PzWqtrZc2ePRstW7bUSSsoKMCUKVMAFK8csHLlSp3tnp6esLOzQ1paWqMq7+mnn4azs7PO6gDVxYCJiKieePDgAebOnYt58+YhKCgIw4YNQ1BQEDIyMgAAGzZsQJMmTZQJg7OysrBq1SqdtC1btuD8+fO4desWZsyYAaB4EeA5c+bAyckJt2/fxtixY9G2bVv06NFDmVC1qscGgGPHjsHR0REnTpyo8Tbav38/zpw5oyyVU5q9vT0iIyORk5MDHx+fRy7UbKi99+/fj+nTp8PR0REZGRnw9/eHra0tevTogdOnTyvHefjwIZYvX47XXnsNffr0wdChQ/Hbb79V+1z/+c9/Ys2aNVizZg0AwN3dXVn/sKT8/Hx4eHg0uvKGDRuGDRs2IDExsdp1AcAxTEREplDZLrmsrCxxdXWVRYsWKWlpaWni6uoqXbp0kYyMDBH5c+makkqnARA3NzcRESksLJSoqChlLMisWbPkxIkTsmPHDrG0tBQAEhMTU6Vja+3bt09atWolBw4cqPD5ilTt+2j8+PGiUqnKXKqm5LFWr14tAGTOnDllbq9IeycnJ4uFhYUAkNDQULl27Zps27ZNAEjfvn2V/aZOnSoXLlxQ/vb09JR27drpLINUGXv37lW6Fp2cnGTjxo3l5o2JiZGWLVvKmTNnqlRWfS7v7NmzAkDee++9SpUPjmEiIqo7KhswzZ8/XwDorHUnIrJ161YBIMHBwSIi4ubmpvcML51WVlDj6uoqACQ7O1tJW7NmjQAQX1/fah1bRKSgoKDC56pVle+jzp07i5WVVZnbSh/L29tbVCqVHDx4UG97Rdu7W7duesdt166dNG/eXERE4uLilMHmpT9RUVGVOjet+/fvS3x8vKxfv15atWolAGTLli16+QoKCmTQoEHyxRdfVKmc+l5eSkqKAJARI0ZUqvzyAiZ2yRER1QMxMTEAAEtLS530gQMHAgBOnjxZreM3aVL8ddCqVSslzcvLC0Dx6/nVZWhdT2O5desWrK2tK5R306ZNcHNzg7+/P1JSUnS2VbS9td2RJVlbWyMvLw8A8NNPP0GtVkOKf6DQ+YwcObJyJ/c/VlZW6N69O15//XV88sknAICtW7fq5Xv33XcxZMgQ+Pr6Vqmc+l6elZUVAOD27dvVqo8WAyYionpAG9AkJSXppGvHdLRp08boZbZv3x4A4OjoaPRj1xQzMzMUFhZWKK+FhQX27NmD3Nxc+Pn56WwzVnvfvXsXiYmJyMnJ0dtWVFRUoWM8yujRowEAzZo100mPiopC69atsXDhwmqXUV/LKyuYrQ4GTERE9YD2l42DBw/qpN+4cQMA8MILLwD480siPz8fQPFbY5mZmTr7qFQqFBQUGCzz7t27Rjt2RYOY6nJwcFAGZZekDU5KBylubm7YvHkzjh07ppNe0fY2xM3NDTk5OXj//fd10n///XesX7++Qsd4FO2kjiNGjFDSjhw5guTkZMydO1cn76lTpxpVeffv3wdQPNDfGBgwERHVA8HBwVCr1Vi3bh1u3bqlpIeFhcHd3R1vvPEGgOIvaABYsmQJLl++jLVr1yrdQ4cPH0ZRURGcnZ2RmpqqfPmXVDKwiY6ORu/evTF9+vRqHfvgwYOwsrLC119/bcwmKdOgQYOQlZWFP/74Qydd+9p5Wd0z48aNQ2BgoE5aRdv74cOHesfLysoCUPxK/OjRo9GlSxcsXrwYU6ZMwY4dO7Bw4UK8+eabeOWVVwAAK1euxFNPPYWdO3c+8txWr16NzZs3K0FqXl4e5s6dCx8fH6U+R48exbJly1BYWIiwsDCEhYVh/fr1eOutt3Do0KFGUZ7WnTt3AAADBgx4ZLkVVnpQEwd9ExHVvKpMXJmVlSXBwcHi6ekpQUFBEhwcLIsXL5a8vDwlT0JCgvTt21dat24tnp6ekpCQIB4eHjJp0iTZuXOn5OXlybx588TBwUF2796t7KcdvL1ixQq5c+eOpKWlybJly3Qm/qvqsY8cOSLt27eXb7/9tlLnW5Xvo++++04AyDfffKOk7dmzR0aMGCEAZNSoUfL999/r7afRaGTAgAE6aYbaOywsTBnAvWTJEsnMzFQGygOQkJAQyc3NlaSkJPHy8hIbGxuxt7eXadOmSXp6ulLOzJkzpUmTJtKhQ4dHntuiRYvExcVFrK2tZcaMGRIQECDR0dHK9pMnTyqDpEt/VCqVXLlypVGUp/XRRx+JmZmZXrohKGfQt+p/GxWRkZHw8fHhivFERDVo3LhxAIBdu3aZuCbFunfvjgsXLtSpZ39Vv49GjhwJV1dXrF69uoZqZnwJCQmYPHkyYmNjWZ6ReHl53IFvyAAAIABJREFUwd7eHp9++mml9lOpVIiIiIC3t7dOOrvkiIioQQkPD8ehQ4eM9nZUTcvJycG6deuwceNGlmckcXFxSEhI0JsZvDoYMBEREbKzs3X+W589/vjj2L17NwIDA8t8O62uSUxMxNKlS6FWq1meEaSmpiI0NBTR0dF600JUBwMmIqJGLDs7G/Pnz1cGac+ePbtWu01qilqtRmhoKMLCwkxdFYPUarVRv9gbc3kFBQXYunUrtm/fjo4dOxr12E2NejQiIqpXWrdujdDQUISGhpq6Kkbn5ORk1MVXqe5r2rSp3nQDxsJfmIiIiIgMYMBEREREZAADJiIiIiIDGDARERERGVDuoG/tpGpERGR82jfR+KwtX3JyMgC2EdUNejN9nzp1CqtWrTJVfYiokTt79iwAoFevXiauCRE1Vm+99Raee+45nTS9gImIyJS0yxFERkaauCZERH/iGCYiIiIiAxgwERERERnAgImIiIjIAAZMRERERAYwYCIiIiIygAETERERkQEMmIiIiIgMYMBEREREZAADJiIiIiIDGDARERERGcCAiYiIiMgABkxEREREBjBgIiIiIjKAARMRERGRAQyYiIiIiAxgwERERERkAAMmIiIiIgMYMBEREREZwICJiIiIyAAGTEREREQGMGAiIiIiMoABExEREZEBDJiIiIiIDGDARERERGQAAyYiIiIiAxgwERERERnAgImIiIjIAAZMRERERAYwYCIiIiIygAETERERkQEMmIiIiIgMYMBEREREZEBTU1eAiBqvnJwc5OXl6aTl5+cDAO7fv6+T3rx5c7Rq1arW6kZEVJJKRMTUlSCixunDDz/E66+/XqG8YWFhmDlzZg3XiIiobAyYiMhk0tPT4eDggMLCwkfmMzMzQ2pqKuzs7GqpZkREujiGiYhMxs7ODkOGDIGZmVm5eczMzPDCCy8wWCIik2LAREQm5efnh0f90C0i8PPzq8UaERHpY5ccEZlUVlYW7Ozs9AZ/azVr1gzp6el47LHHarlmRER/4i9MRGRSlpaWePHFF2Fubq63rWnTphg9ejSDJSIyOQZMRGRyEydOREFBgV56YWEhJk6caIIaERHpYpccEZlcfn4+bG1tkZWVpZNuYWGBO3fuoHnz5iaqGRFRMf7CREQm16xZM4wbNw7NmjVT0szNzeHj48NgiYjqBAZMRFQnTJgwQZnlGwA0Gg0mTJhgwhoREf2JXXJEVCcUFRXB3t4e6enpAABbW1vcunXrkXM0ERHVFv7CRER1QpMmTTBhwgQ0a9YM5ubmmDhxIoMlIqozGDARUZ0xfvx45OfnszuOiOqcpqauQHUlJyfj5MmTpq4GERmBiKBt27YAgKtXryIpKcm0FSIio+jfvz86duxo6mpUS70fwxQZGQkfHx9TV4OIiIjKERERAW9vb1NXo1rq/S9MWvU87iOi/4mPjwcAPPnkk5Xab9y4cQCAXbt2Gb1ODYX2H5h8XlJtUqlUpq6CUTSYgImIGobKBkpERLWBg76JiIiIDGDARERERGQAAyYiIiIiAxgwERERERnAgImIiIjIAAZMRERERAYwYCIiKqFfv34IDg42dTXqpEuXLmHlypWIjIxEz549oVKpoFarkZubq5Pv6NGjGD58OFQqFfr06YPIyEgT1diw+Ph4vPTSS7C1tYWdnR3Gjx+P1NRUnTybNm1Cr169YGlpiZ49eyI8PLzRlFdYWIiQkBDcvHmzynVoMKSei4iIkAZwGkRUTWPHjpWxY8dW+zi+vr6ycOFCI9Soam7cuFFjx67O8/L48eMyYcIEyc/PFxGRzMxMASAAZNq0aXr5k5KSBIBcvHixWnWuSfHx8TJmzBjZu3evnD17ViZNmiQAZMiQIUqekJAQ8fPzk7CwMAkICJCWLVsKAFm3bl2jKe/evXvy8ssvS2JiYqXrICICQCIiIqq0b11S7yMNBkxEJGK8gMmUrl69Kh4eHjV2/Ko+L+Pj46VTp05y9+5dnXQAMnDgwDK/EDUajQBQAqy6aO3atZKTk6P8rdFoxMrKSiwsLESkOHidOHGizj6HDx8WAOLi4tKoyjt37pyo1Wr5448/Kl2PhhIwsUuOiKgOuHnzJkaNGoX09HRTV0WHiMDPzw+vvPIKbGxs9LZHRETAwcEBU6dOxdWrV5X0pk2LF5IwNzevtbpW1uzZs9GyZUudtIKCAkyZMgUAcO3aNaxcuVJnu6enJ+zs7JCWltaoynv66afh7OyMt99+u9L1aCgYMBERASgqKsKuXbvg7++PQYMGAQD279+P6dOnw9HRERkZGfD394etrS169OiB06dPAwBiY2MxZ84cODk54fbt2xg7dizatm2LHj16YM+ePQCADRs2oEmTJsqaWllZWVi1apVO2pYtW3D+/HncunULM2bMUOp17NgxODo64sSJE7XZHIr9+/fjzJkzGD58eJnb7e3tERkZiZycHPj4+ECj0ZR7rAcPHmDu3LmYN28egoKCMGzYMAQFBSEjI0Mpy1B7A8DDhw+xfPlyvPbaa+jTpw+GDh2K3377rdrn+s9//hNr1qzBmjVrAADu7u5o166dXr78/Hx4eHg0uvKGDRuGDRs2IDExsdp1qZdM/RNXdbFLjohEjNMld/36dQEgbm5uIiKSnJwsFhYWAkBCQ0Pl2rVrsm3bNgEgffv2lcLCQomKilLGfcyaNUtOnDghO3bsEEtLSwEgMTExIiLi7Oys96wqnVaybK19+/ZJq1at5MCBA9U6N5GqPS/Hjx8vKpVKNBqN3raSx1q9erUAkDlz5pS5PSsrS1xdXWXRokVKWlpamri6ukqXLl0kIyPDYHtrTZ06VS5cuKD87enpKe3atZMHDx5U6ty09u7dq3QtOjk5ycaNG8vNGxMTIy1btpQzZ85Uqaz6XN7Zs2cFgLz33nuVKh8NpEuu3kcaDJiISMR4Y5hKBy3dunXTe8a0a9dOmjdvrvzt6uoqACQ7O1tJW7NmjQAQX19fERFxc3PTO07ptLICJhGRgoKC6p3U/1Tledm5c2exsrIqc1vpY3l7e4tKpZKDBw/qbZ8/f74AkNTUVJ19tm7dKgAkODhYRAy3d1xcnDLYvPQnKiqqUuemdf/+fYmPj5f169dLq1atBIBs2bJFL19BQYEMGjRIvvjiiyqVU9/LS0lJEQAyYsSISpXfUAImdskRET2CtsusJGtra+Tl5Sl/N2lS/Cht1aqVkubl5QWg+FX86jIzM6v2Marq1q1bsLa2rlDeTZs2wc3NDf7+/khJSdHZFhMTAwCwtLTUSR84cCAA4OTJkwAMt/dPP/0EtVoNKf4Hv85n5MiRlTu5/7GyskL37t3x+uuv45NPPgEAbN26VS/fu+++iyFDhsDX17dK5dT38qysrAAAt2/frlZ96isGTERENaB9+/YAAEdHRxPXpHrMzMxQWFhYobwWFhbYs2cPcnNz4efnp7NNG1QmJSXppGvH0LRp06ZCZdy9exeJiYnIycnR21ZUVFShYzzK6NGjAQDNmjXTSY+KikLr1q2xcOHCapdRX8srK5htTBgwERHVgLt37wIAXnjhBQB/ftnk5+cDKH77LDMzU2cflUqFgoICvWNVNGCpCQ4ODsqg7JK0wUnpIMXNzQ2bN2/GsWPHdNK1vyQdPHhQJ/3GjRsA/mwnQ9zc3JCTk4P3339fJ/3333/H+vXrK3SMR9FO6jhixAgl7ciRI0hOTsbcuXN18p46dapRlXf//n0AxQP9GyMGTERE//PHH38AKH6bS+vhw4d6+bKysgBAL7gpGdhER0ejd+/emD59OoDiL3oAWLJkCS5fvoy1a9cq3UyHDx9GUVERnJ2dkZqaqgQRQHGAYWVlha+//toYp1hpgwYNQlZWltI2WtrXzsvqnhk3bhwCAwN10oKDg6FWq7Fu3TrcunVLSQ8LC4O7uzveeOMNAIbbe/To0ejSpQsWL16MKVOmYMeOHVi4cCHefPNNvPLKKwCAlStX4qmnnsLOnTsfeW6rV6/G5s2blcA1Ly8Pc+fOhY+Pj1Kfo0ePYtmyZSgsLERYWBjCwsKwfv16vPXWWzh06FCjKE/rzp07AIABAwY8stwGy5QDqIyBg76JSKT6g76zs7Nl3rx5ygDiVatWybJly5S/lyxZIpmZmcpgbgASEhIiubm5yuDtFStWyJ07dyQtLU2WLVumM8lfQkKC9O3bV1q3bi2enp6SkJAgHh4eMmnSJNm5c6fk5eXJvHnzxMHBQXbv3q3sd+TIEWnfvr18++231Wofkao9L7/77jsBIN98842StmfPHhkxYoQAkFGjRsn333+vt59Go5EBAwbopGVlZUlwcLB4enpKUFCQBAcHy+LFiyUvL09ERMLCwirU3klJSeLl5SU2NjZib28v06ZNk/T0dKWcmTNnSpMmTaRDhw6PPLdFixaJi4uLWFtby4wZMyQgIECio6OV7SdPnlQGSZf+qFQquXLlSqMoT+ujjz4SMzMzvXRD0EAGfatERGohLqsxkZGR8PHxQT0/DSKqpnHjxgEAdu3aVetld+/eHRcuXKjzz6GqPi9HjhwJV1dXrF69uoZqZnwJCQmYPHkyYmNjWZ6ReHl5wd7eHp9++mml9lOpVIiIiIC3t3cN1ax2sEuOiIgeKTw8HIcOHao3b0fl5ORg3bp12LhxI8szkri4OCQkJOjNDN6YMGAipKWlYdeuXVi6dKmpq2JQ6UGyVL76dF3ru+zsbJ3/NjSPP/44du/ejcDAwDLfTqtrEhMTsXTpUqjVapZnBKmpqQgNDUV0dLTetBCNCQOmRu7ChQtYvHgxvL298fnnn+ts69evH4KDg2uk3E2bNqFXr16wtLREz549ER4eXm7evLw8LF26FP3790fbtm0rVc7evXvh7e0NlUoFlUqF7777rty8J0+eVPKNHTsWx48fr1RZjxITE4Phw4dDpVLBzMwMnp6eeP755zFw4EDMmjWrSutEPUpdvK7R0dEYMWKE0sbPP/88nn/+efTp0wejR4/Gpk2blDfI6ovs7GzMnz9fGaQ9e/bsWu0iqU1qtRqhoaEICwszdVUMUqvVtfrF3pDLKygowNatW7F9+3Z07NixVsqss0w6gsoIOOi7+h4+fFjmDMO+vr6ycOFCo5cXEhIifn5+EhYWJgEBAcqyEuvWrSt3n9zcXLGxsanStc7JyVEGMnp5eZWbb/z48coAyFu3blW6HENu3rwpAKRr165K2u3bt2XIkCFiZWUlP//8s1HLq4vXVdsGTk5OSlpRUZEcOHBAnJ2dpWvXrnL+/PkqlW+smb4bMj4vyRTQQAZ91/v/c/gAMI6yvlhrwo0bN2TixIk6aYcPHxYA4uLi8sh9y1paoqIAiLu7uzRp0kQuXbqktz01NVWGDRtWrTIqWo/S7fzbb78JAHn55ZdrpbyaUJnrWl6dUlJSxMHBQZydnSU3N7fSdWDAZBifl2QKDSVgYpcc1apr167pDRr09PSEnZ2d0bulSnvzzTdRVFSEtWvX6m379NNPdVaIr01PPPEEAODmzZsmKd8YjHFdHRwc8K9//QtXrlxp1ANLiahuanQBU05ODrZv344JEybA3d0dsbGxePbZZ9G5c2fExMQgISEBY8aMgZ2dHbp3747Tp0/r7H/p0iWMGzcOISEhmDx5MgYOHIj//ve/AIBff/0Vnp6eUKlU8PLywr179xAcHIxOnTrpjSN5lNjYWMyZMwdOTk64ffs2xo4di7Zt26JHjx7Ys2ePku/BgweYO3cu5s2bh6CgIAwbNgxBQUE6s/JWJE9pRUVF2LVrF/z9/TFo0CAAwP79+zF9+nQ4OjoiIyMD/v7+sLW1RY8ePfTaaP369Zg0aRJmzpyJFi1aKGNWVCoV3N3dlaUQSsrPz4eHh4fyd25uLoKCgjB9+nQsXLgQ77zzjt6A2mPHjsHR0REnTpyoULuOGTMGTzzxBMLDw3XOX6PR4PDhw3jxxRfL3bcmr/uPP/4IAHB3dwfQsK+rIWPHjoWZmRm++eabCu9DRFQrTP0TV3VV9ifmoqIiuXz5sgCQNm3ayMGDByU+Pl4ASOfOneWDDz6QzMxMOXv2rACQwYMH6+zftWtXcXZ2FpHiidmsrKxErVYr27Ozs+XJJ58UJycnycvLEy8vL0lISKhw/QoLCyUqKkoZ/zFr1iw5ceKE7NixQywtLQWAxMTESFZWlri6usqiRYuUfdPS0sTV1VW6dOkiGRkZFcqjhVLdJNevX9dJS05OFgsLCwEgoaGhcu3aNdm2bZsAkL59+yr7rVu3TszMzOTu3bsiIvLee+8JAAkKCir3nGNiYqRly5Zy5swZESleMbtv374ydepUJc+VK1ekadOmOtd637590qpVKzlw4IDBdtXut2LFCgEgy5cvV7bt3LlTVqxYISLld/sZ67oDEFdXVyksLJS7d+/Kf/7zH3niiSfksccekwsXLjTo61penUpzcHCQtm3blru9POySM4xdcmQKaCBdco124kqVSgU3Nzf8/vvvAICOHTvi5s2bOsdp164d8vPzlfVzgOKp5h0cHODr6wsRQdeuXXH9+nWdt3tOnz6Nfv36oU+fPpg2bRr8/f0rfV7dunVDQkICsrOzlRXQ165dizfffBO+vr5wdnZGaGgoUlNTddb1+fzzzzF58mQEBwfD3NzcYB7tekyl26OsNDc3N1y8eFGnjezt7ZGRkaEsZzB69GhERUXh4cOHMDc3x/nz56FWq9GvX78y10EqLCzEkCFD8I9//ENZITssLAxvvPEGfv/9d2U5iZJtUrL8wsLCCq3krlKplLW7OnbsCGtrayQmJqJp06YYNmwYdu7cCWtr63InIDTWdS+5eGWLFi3w+OOPw9PTE8HBwejatSsWLFjQYK9reeWX1qlTJxQWFla6i3LcuHGIjY1Fv379KrVfY5KcnIzY2FiMHTvW1FWhRuTLL7/kxJUNSVmvaNrY2Oh1cQQGBuLFF1/Ehx9+iNDQUOTl5UGj0ejk6d27N+bOnYu4uDj06tWrSvXRruytDZaA4llWgeLuoZiYmDLrrV3g8uTJkxXKUxllrVRtbW2trIcFAEOHDkVRUZGywGaLFi0AAM8//3yZx3z33XcxZMgQnS9VbXdM586ddfJq26SkigRLJbVp0wavvPIKbty4gd27d+PcuXPo0qULrK2tH7mfMa+7m5sbRAS5ubm4du0aNmzYgK5duwJAg76uFaHRaHD79m307NmzUvsREdW0pqauQH3z008/wcfHBx9++CFmzpyJ7du36+UREVy5cgWOjo6YNGkSfv75ZzRr1qzaZbdv3x4A4OjoqCwOmpSUhKeeekrJox1H0qZNG+Tm5hrMY2xvvPEGWrZsiSlTpiAmJgaXLl3C4sWL8c477+jljYqKQuvWrfVWyNb+snD37l106NDB6HWcPXs2wsLCsHr1avTo0UNvkdCy1NZ11waFDfG6VsS3336L/Px8DBkypEr17Nevn0mWRqkvtL/Is42oNpX1j7L6iL8wVdLkyZOh0WgwfPhwAMUDaUtbvnw5Xn75ZWzevBm//fYb/u///s8oZd+9excA8MILLyi/Jmj/xa+lnUCvonmMrbCwEL/99htiY2PxwQcf4D//+Q8WLlyo90vQkSNHkJycrPeleurUKaUbrnS9yyvPEO010v7XxcUFo0aNQlxcHG7evIknn3xSyVte125tXfeGfF0Nyc/PxzvvvINevXph9uzZRq0/EVG1mWDclFFVZRBjbm6uAJBu3bopac7OzgJAsrKylLTOnTsLACksLFTS2rRpIyqVSr755hvZvn27PP744wJA4uLi5MaNGxIbGyvjx49X8s+cOVPMzMzku+++q1QdtYOPCwoKlLTPPvtMevfuLRqNRnJyckStVkvHjh0lNTVVyRMQECDu7u4VziPy58SOnTt3VvJkZWUJAGnfvr1ee5TUoUMHAaAca/HixeLs7CybNm2Sr7/+Wk6ePCkJCQk65xEdHS3PP/+8rF+/XvmsW7dOAgMDZcGCBfLLL79I06ZNpW3btvL1119LTk6OfPvtt/LYY48JALl69aqIiERFRYmFhYV89dVXj2zL1NRUASApKSlK2rFjxwSA3oDxjh07CgC9eYCMcd2vXbsmAOSJJ54ot64N+bqWVycRkTNnzsjAgQPFyclJ4uPjy22fR+Ggb8M46JtMAQ1k0He9/z+nsg+A27dvy1tvvSUApHnz5hIdHS2HDx9W3sCaPXu23L17V9atWycqlUp5o+rOnTsiIhIWFiZt2rSRv/zlLxIbGytr164Va2trGT16tGzYsEHs7OxkxowZSnnvvPOOABArKysJDw+vcD21AdOKFSvkzp07kpaWJsuWLZM//vhDyZOVlSXBwcHi6ekpQUFBEhwcLIsXL5a8vLwK50lMTJTZs2crM2GvWbNGbt68KfPmzVPSVq1aJcuWLVP+XrJkiWRmZsqaNWuUtJCQEMnNzZUjR45Iu3btlHTtx87OTnbv3i0nT55UZtMu/VGpVHLlyhURETlx4oS4u7uLpaWldOnSRZYtWyYDBw6Uf/zjH3L06FEpLCyUI0eOSPv27eXbb78ttx337dsnL774ogCQUaNGydGjR5Vtf/vb35RgOD4+XubPn6/UxdvbW44dO6bkre51j4uLE29vb+X4r7/+usTGxpZZ54Z6XX/44QeZMmWKkj548GAZNmyYeHl5yd/+9jcJCwvTub8riwGTYQyYyBQaSsDUaN+Sq+vKe1urrgsPD8edO3fw9ttvAyjuukpJScGxY8cwZ86cerPaOemqD9d13LhxAMDxOY/QUJ+XVLepVKoG8ZYcB33XsooMfrtw4UIt1MT43n//fYSEhChjrYDiQcwdO3bEgAEDamQAN9U8XlciIg76rnVS3A36yE+3bt2UWa1Lz25dl/3www8AgI8//ljny/XMmTMICQnBtm3bTFU1qgZeV6I/Xb16Ff/+97/xwQcf4PLlyw2uPCofA6Y6Jjs7G/Pnz1feeJo9ezZiY2NNXKuK+eyzzzBr1ixs2rQJHTt2hLu7O7y9vXHmzBls27ZN5200qj94XUnr0qVLWLlyJSIjI9GzZ0+oVCqo1Wplqguto0ePYvjw4VCpVOjTpw8iIyNNVGPDUlJSEB4eDh8fH/Tv37/cfFlZWZg1axaGDh2Kp59+Gm+//TZcXFzqfHnx8fF46aWXYGtrCzs7O4wfPx6pqak6eTZt2oRevXrB0tISPXv2RHh4uLKtsLAQISEh9XqtS6MxxcApY+IgRiISMf2g7xs3btT5Y1fneXn8+HGZMGGC5Ofni4hIZmamMoB/2rRpevmTkpIEgFy8eLFada4NpZcMKi0tLU2effZZcXV1lfT09HpTXnx8vIwZM0b27t0rZ8+elUmTJgkAGTJkiJInJCRE/Pz8JCwsTAICApRludatW6fkuXfvnrz88suSmJhYpXqggQz6rveRBgMmIhIxbcB09epV8fDwqPPHrurzMj4+Xjp16qSsJagFQAYOHFjmF6JGoxEASoBV1z0qgBkxYoSYmZmV+2ZrXS1v7dq1kpOTo/ytXQfTwsJCRIoD8YkTJ+rsc/jwYQEgLi4uOunnzp0TtVpdpTdZG0rAxC45IqJquHnzJkaNGoX09PR6deyKEhH4+fnhlVdegY2Njd72iIgIODg4YOrUqbh69aqS3rRp8TtF5ubmtVbXmhAVFYVDhw5h2LBh6Nu3b70qb/bs2WjZsqVOWkFBAaZMmQIAuHbtGlauXKmz3dPTE3Z2dkhLS9NJf/rpp+Hs7Ky8KdsYMWAiokbrwYMHmDt3LubNm4egoCAMGzYMQUFByhqSGzZsQJMmTZS3W7OysrBq1SqdtC1btuD8+fO4desWZsyYAQCIjY3FnDlz4OTkhNu3b2Ps2LFo27YtevTogT179lTr2ABw7NgxODo64sSJEzXeRvv378eZM2eUWe5Ls7e3R2RkJHJycuDj46O3xmJJhtp7//79mD59OhwdHZGRkQF/f3/Y2tqiR48eOH36tHKchw8fYvny5XjttdfQp08fDB06FL/99ptxT/x/PvvsMwDFi0IPGjQIlpaW6N27d4VWIqhr5f3zn//EmjVrsGbNGgCAu7u7sqRSSfn5+fDw8NBLHzZsGDZs2IDExMRq16VeMvVPXNXFLjkiEql8l1xWVpa4urrKokWLlLS0tDRxdXWVLl26SEZGhoj8uQpASaXTUKJ7pbCwUKKiopSxILNmzZITJ07Ijh07xNLSUgBITExMlY6ttW/fPmnVqpXeTPWGVOV5OX78eFGpVMqs7yWVPNbq1asFgMyZM6fM7RVp7+TkZLGwsBAAEhoaKteuXZNt27YJAOnbt6+y39SpU+XChQvK356entKuXTt58OBBpc6t9LmU1UWmnQl/5cqVkpqaKrGxseLo6CgqlUp+/PHHelHe3r17la5TJycn2bhxY7l5Y2JipGXLlnLmzBm9bWfPnhUA8t5771WqfDSQLrl6H2kwYCIikcoHTNqZ3UsuLyMisnXrVgEgwcHBIvLnrPsllU4r68vP1dVVAEh2draSpp1F3dfXt1rHFhGdZWkqqirPy86dO4uVlVWZ20ofy9vbW1QqlRw8eFBve0Xbu1u3bnrHbdeunTRv3lxEROLi4sqcUR6AREVFVercSp9LWe3cokULcXBw0EnTBnF+fn71orz79+9LfHy8rF+/XpmRf8uWLXr5CgoKZNCgQfLFF1+UeZyUlBQBICNGjKhU+Q0lYGKXHBE1SjExMQAAS0tLnXTt4sYnT56s1vGbNCl+vLZq1UpJ8/LyAlD8en51lV74uKbcunUL1tbWFcq7adMmuLm5wd/fHykpKTrbKtreZU3ua21tjby8PADATz/9BLVaXeYcdiNHjqzcyVWAvb293jisv/71rwCAixcv1ovyrKys0L17d7z++uv45JNPAABbt27Vy/fuu+9iyJAh8PX1Lfc4AOrn2+JSAAAgAElEQVTEzP6mwICJiBolbUCTlJSkk64d09GmTRujl9m+fXsAgKOjo9GPXVPMzMxQWFhYobwWFhbYs2cPcnNz4efnp7PNWO199+5dJCYmIicnR29bUVFRhY5RGV27dtUbAG1rawsAZQ6Cr+vljR49GgDQrFkznfSoqCi0bt0aCxcuLHffiqxU0ZAxYCKiRkn7y0bpwbTaSWNfeOEFAH9+SeTn5wMofmssMzNTZx+VSoWCggKDZWpnSjfGsSsaxFSXg4ODMii7JG1wUjpIcXNzw+bNm3Hs2DGd9Iq2tyFubm7IycnB+++/r5P++++/Y/369RU6RmVMmDABDx8+xC+//KKk3blzBwDwl7/8pd6Vp520csSIEUrakSNHkJycjLlz5+rkPXXqlM7f9+/fB1D8K1ijZMLuQKPgGCYiEqn8GKacnBxRq9XSsWNHnXE1AQEB4u7urgxyHjNmjACQhQsXyqVLl2T16tViY2MjAOTrr7+WwsJCcXFxkdatW8v169eV42jHIpUca/TZZ59J7969q33sqKgosbCwkK+++qpSbVSV5+WUKVNEpVJJVlaWTnpqaqoAkJSUlDL3CwwM1Cmrou2tHfRcUocOHQSAaDQaefjwoXTp0kUAyKuvvirbt2+XBQsWiKenpzLoe8WKFfLkk0+WOxantJycHAEgXbt21dtWUFAgarVaJkyYoKStX79e7O3t5f79+3W6vFWrVsmmTZuUFxgePnwoL730kvj4+EhRUZGIiERHR8vzzz8v69evVz7r1q2TwMBAWbBggc7xfv31Vw76rs8YMBGRSNUmrszKypLg4GDx9PSUoKAgCQ4OlsWLF0teXp6SJyEhQfr27SutW7cWT09PSUhIEA8PD5k0aZLs3LlT8vLyZN68eeLg4CC7d+9W9tMGTCtWrJA7d+5IWlqaLFu2TGfiv6oe+8iRI9K+fXv59ttvK3W+VXlefvfddwJAvvnmGyVtz549MmLECAEgo0aNku+//15vP41GIwMGDNBJM9TeYWFhygDuJUuWSGZmpjJQHoCEhIRIbm6uJCUliZeXl9jY2Ii9vb1MmzZNZ0bsmTNnSpMmTaRDhw4Gz+/YsWMybdo0ASDm5uayfPly+eWXX3Ty3L9/X1599VWZPHmyLFiwQPz8/CQ5ObnOl7do0SJxcXERa2trmTFjhgQEBEh0dLSy/eTJk8og8NIflUolV65c0TneRx99JGZmZnrphjSUgEklIlLjP2PVoMjISPj4+KCenwYRVdO4ceMAALt27TJxTYp1794dFy5cqFPPpqo+L0eOHAlXV1esXr26hmpmfAkJCZg8eXKtrcXZ0MsDil9asLe3x6efflqp/VQqFSIiIuDt7V1DNasdHMNERESPFB4ejkOHDtWbt6NycnKwbt06bNy4keUZSVxcHBISEvRmBm9MGDAREdWA7Oxsnf/WZ48//jh2796NwMDAMt9Oq2sSExOxdOlSqNVqlmcEqampCA0NRXR0tN60EI0JAyYiIiPKzs7G/Pnzlbe/Zs+eXavdJjVFrVYjNDQUYWFhpq6KQWq1ula/2BtyeQUFBdi6dSu2b9+Ojh071kqZdVVTU1eAiKghad26NUJDQxEaGmrqqhidk5NTo158tTFq2rSp3nQDjRV/YSIiIiIygAETERERkQEMmIiIiIgMYMBEREREZAADJiIiIiIDGsxbco19FWUiKsZngWFsI6LKq/dLoyQnJ+PkyZOmrgYRGYl2+Y3AwEAT14SIjKV///71fh6neh8wEVHDol1vKjIy0sQ1ISL6E8cwERERERnAgImIiIjIAAZMRERERAYwYCIiIiIygAETERERkQEMmIiIiIgMYMBEREREZAADJiIiIiIDGDARERERGcCAiYiIiMgABkxEREREBjBgIiIiIjKAARMRERGRAQyYiIiIiAxgwERERERkAAMmIiIiIgMYMBEREREZwICJiIiIyAAGTEREREQGMGAiIiIiMoABExEREZEBDJiIiIiIDGDARERERGQAAyYiIiIiAxgwERERERnAgImIiIjIAAZMRERERAYwYCIiIiIygAETERERkQEMmIiIiIgMYMBEREREZAADJiIiIiIDmpq6AkTUeMXFxeHcuXM6aYmJiQCATz/9VCf9mWeeQd++fWutbkREJalERExdCSJqnKKiovDiiy/CzMwMTZoU/+CtfSSpVCoAQFFREQoLC3HgwAGMGjXKZHUlosaNARMRmYxGo4GtrS0ePHjwyHyPPfYY0tPT0axZs1qqGRGRLo5hIiKTMTc3x/jx4x8ZCFUkDxFRTWPAREQmNX78eOTn55e7XaPRYMKECbVYIyIifeySIyKTKioqQvv27XH79u0yt9vZ2eHWrVvKGCciIlPgE4iITKpJkyaYNGlSmV1uzZo1g7+/P4MlIjI5PoWIyOTK65bLz8/H+PHjTVAjIiJd7JIjojqha9euuHz5sk5aly5dcOXKFRPViIjoT/yFiYjqBD8/P5ibmyt/N2vWDH//+99NWCMioj/xFyYiqhMuX76Mrl276qRdvHgRrq6uJqoREdGf+AsTEdUJLi4ueOaZZ6BSqaBSqfDMM88wWCKiOoMBExHVGZMnT4aZmRnMzMwwefJkU1eHiEjBLjkiqjNSUlLg6OgIEcGNGzfQoUMHU1eJiAgAA6Y6b9y4caauAlGtOn78OABg8ODBJq0HUW3btWuXqatAj8AuuTruyy+/RHJysqmrQQ1EfbifOnXqhCeeeMJk5cfGxiI2NtZk5VPjk5ycjC+//NLU1SAD+AtTHadSqRAREQFvb29TV4UagPpwP927dw8AYGNjY5Lytb/q8l/7VFsiIyPh4+MDfh3XbU1NXQEiopJMFSgRET0Ku+SIiIiIDGDARERERGQAAyYiIiIiAxgwERERERnAQd9ERGRUV69exYEDB5CXl4cxY8bAxcWlQZVHjRN/YSKiSuvXrx+Cg4NNXY066dKlS1i5ciUiIyPRs2dPqFQqqNVq5Obm6uQ7evQohg8fDpVKhT59+iAyMtJENTYsJSUF4eHh8PHxQf/+/cvNl5WVhVmzZmHo0KF4+umn8fbbb1cpeKnt8uLj4/HSSy/B1tYWdnZ2GD9+PFJTU3XybNq0Cb169YKlpSV69uyJ8PBwZVthYSFCQkJw8+bNSpdN9YhQnQZAIiIiTF0NaiCMdT/5+vrKwoULjVCjqrlx40aNHXvs2LEyduzYKu17/PhxmTBhguTn54uISGZmpgAQADJt2jS9/ElJSQJALl68WK0614br168LAHFzcytze1pamjz77LPi6uoq6enp9aa8+Ph4GTNmjOzdu1fOnj0rkyZNEgAyZMgQJU9ISIj4+flJWFiYBAQESMuWLQWArFu3Tslz7949efnllyUxMbHSdYiIiBB+Hdd9vEJ1HAMmMqaGcD9dvXpVPDw8auz4VQ2Y4uPjpVOnTnL37l2ddAAycODAMtteo9EIACXAquseFcCMGDFCzMzMJDY2tl6Vt3btWsnJyVH+1mg0YmVlJRYWFiJSHJxPnDhRZ5/Dhw8LAHFxcdFJP3funKjVavnjjz8qVQcGTPUDu+SIqN64efMmRo0ahfT0dFNXRYeIwM/PD6+88kqZE29GRETAwcEBU6dOxdWrV5X0pk2Lh5Gam5vXWl1rQlRUFA4dOoRhw4ahb9++9aq82bNno2XLljppBQUFmDJlCgDg2rVrWLlypc52T09P2NnZIS0tTSf96aefhrOzM95+++1q1YnqJgZMRFRhRUVF2LVrF/z9/TFo0CAAwP79+zF9+nQ4OjoiIyMD/v7+sLW1RY8ePXD69GkAxeuzzZkzB05OTrh9+zbGjh2Ltm3bokePHtizZw8AYMOGDWjSpAlUKhWA4vEpq1at0knbsmULzp8/j1u3bmHGjBlKvY4dOwZHR0ecOHGiNptDsX//fpw5cwbDhw8vc7u9vT0iIyORk5MDHx8faDSaco/14MEDzJ07F/PmzUNQUBCGDRuGoKAgZGRkKGUZam8AePjwIZYvX47XXnsNffr0wdChQ/Hbb78Z98T/57PPPgNQvA7goEGDYGlpid69e+PgwYP1rrx//vOfWLNmDdasWQMAcHd3R7t27fTy5efnw8PDQy992LBh2LBhAxITE6tdF6pjTP0TFz0aGkAXCtUdxrifSo8tSU5OFgsLCwEgoaGhcu3aNdm2bZsAkL59+0phYaFERUUp4z5mzZolJ06ckB07doilpaUAkJiYGBERcXZ21uuaKJ2GMrpp9u3bJ61atZIDBw5U69xEqtYlN378eFGpVKLRaPS2laz76tWrBYDMmTOnzO1ZWVni6uoqixYtUtLS0tLE1dVVunTpIhkZGQbbW2vq1Kly4cIF5W9PT09p166dPHjwoFLnVvpcyuoi69y5swCQlStXSmpqqsTGxoqjo6OoVCr58ccf60V5e/fuVbpOnZycZOPGjeXmjYmJkZYtW8qZM2f0tp09e1YAyHvvvVfhstklVz/wCtVxDJjImIx1P5X+IuvWrZveA79du3bSvHlz5W9XV1cBINnZ2UramjVrBID4+vqKiIibm5vecUqnlfclWlBQUL2T+p+qBEydO3cWKyurMreVPh9vb29RqVRy8OBBve3z588XAJKamqqzz9atWwWABAcHi4jh9o6Li1MGm5f+REVFVercSp9LWW3fokULcXBw0EnTBnF+fn71orz79+9LfHy8rF+/Xlq1aiUAZMuWLXr5CgoKZNCgQfLFF1+UeZyUlBQBICNGjKhw2QyY6gd2yRFRtWm7zEqytrZGXl6e8neTJsWPm1atWilpXl5eAIpfxa8uMzOzah+jqm7dugVra+sK5d20aRPc3Nzg7++PlJQUnW0xMTEAAEtLS530gQMHAgBOnjwJwHB7//TTT1Cr1ZDifxTrfEaOHFm5k6sAe3t7vXFYf/3rXwEAFy9erBflWVlZoXv37nj99dfxySefAAC2bt2ql+/dd9/FkCFD4Ovr+//s3XtYVNX+P/D3CIaCmAomqPj1goQ1mubPqLxVKvigB7NHxBDwlvq18oqCZnQ8JqYmog9Qz8m8nrTAI5aSaSmaHQTzpHa+pYKJqAgIkihxv3x+f3Bm5zDgzHCbAd+v55mnZu2911p7sWF/3GvttWrNBwBu375dp3qQ+WLAREQm07VrVwCAk5OTiWtSPxYWFqioqDBo33bt2iE2NhZFRUXw8/PT2qYJKtPS0rTSNWNoHn/8cYPKyM3NRWpqKgoLC3W2VVZWGpSHMfr27aszANre3h4AahwEb+7lTZgwAQDw2GOPaaXHxcXBxsYGISEhtR5bUzBLLQMDJiIymdzcXADA6NGjAfx5syktLQVQ9fbZvXv3tI5RqVQoLy/XycvQgKUxODo6KoOyH6QJTqoHKa6urti+fTtOnDihla55klR98PLNmzcB/NlO+ri6uqKwsBDr16/XSr906RIiIyMNysMYvr6+KC4uxoULF5S0O3fuAACee+65ZleeZtJKT09PJe27775Deno6goODtfZNTEzU+n737l0AVU/BqGVhwERERvnjjz8AVL3NpVFcXKyzX35+PgDoBDcPBjbHjh3D4MGDMXfuXABVN3oAWLNmDX777Tds2bJF6WY6evQoKisr0adPH2RmZipBBFAVYHTo0AFHjhxpiFM02siRI5Gfn6+0jYbmKUhN3TPe3t5YvHixVlpQUBDUajUiIiKQlZWlpEdFRWHo0KF4++23Aehv7wkTJqB3795YvXo1Zs2ahb179yIkJASLFi3CjBkzAABhYWF4+umn8cUXXxh0jpqZymsKTP39/aFWq/Hhhx8qaQcOHICDgwOWLFli1uWFh4dj+/btSmBeUlKC4OBg+Pj4KO19/PhxrFu3DhUVFYiKikJUVBQiIyOxZMkSHD58WCs/TeA2bNgwg86TmhFTDqAi/cBB39SA6ns9FRQUyIoVK5QBxJs2bZJ169Yp39esWSP37t1TBnMDkOXLl0tRUZEyeHvjxo1y584dyc7OlnXr1mlN8peSkiJubm5iY2Mj7u7ukpKSIsOHDxd/f3/54osvpKSkRFasWCGOjo6yf/9+5bjvvvtOunbtKvHx8fVqH5G6Dfr+/vvvBYB8++23SlpsbKx4enoKABk/frz88MMPOseVlZXJsGHDtNLy8/MlKChI3N3dJTAwUIKCgmT16tVSUlIiIiJRUVEGtXdaWpp4eXlJp06dxMHBQebMmaM1I/abb74prVq1km7duuk9vxMnTsicOXMEgLRu3Vo2bNggFy5c0Nrn7t27MnPmTAkICJB3331X/Pz8JD093ezLW7VqlTg7O0vHjh1l3rx5snDhQjl27Jiy/fTp08og8OoflUolV69e1crv448/FgsLC530h+Gg7+ZBJSLShPEZGUmlUiE6OhqTJ082dVWoBTDl9dSvXz9cvnwZ5v4nx9vbGwCwb98+o44bN24cXFxcEB4e3hjVahQpKSkICAhAUlISy2sgXl5ecHBwwCeffGLwMTExMfDx8TH7341HHbvkiIgawI4dO3D48OFm83ZUYWEhIiIi8Omnn7K8BnLmzBmkpKTozAxOLQMDJiJqEgUFBVr/bWmeeOIJ7N+/H4sXL67x7TRzk5qairVr10KtVrO8BpCZmYnQ0FAcO3ZMZ1oIahkYMD0iqr9pRNRUCgoKsHLlSmWQ9oIFC5q0i6QpqdVqhIaGIioqytRV0UutVjfpjb0ll1deXo7du3djz5496N69e5OUSU2PAVMLVlJSgrVr1+LFF1+EnZ2dqavTZI4dOwZPT0+oVCqoVCq88soreOWVVzBkyBBMmDAB27ZtU15bp8ZnY2OD0NBQZeLEbdu24fnnnzd1tRpNr169uPjqI8bS0hLBwcF8stTCMWBqwaysrLBkyRIkJyebdI6a+khPTzf6mNGjRyvjFnr16oX4+HjEx8fjxx9/xOzZs/HBBx9ArVbj4sWLDV3dJlOXdiEiorpjwNTCtWnTBk888YSpq1EnaWlp8PX1rdOxmhmkrayslDSVSoXx48fjhx9+wB9//AEvL68a57Mxd/VpFyIiqhsGTGSWbt26hfHjxyMnJ6fB83Z0dMT777+Pq1evNru3WRqzXYiIqHYMmFqYoqIiBAYGYu7cuQgJCcE777yjvJVUWVmJ77//HosXL0avXr2QkZGBl156Cf/zP/+DvLw83L9/H8HBwVixYgUCAwPh4eGBwMBAZcmHpKQkLF26FL169cLt27cxadIk2NnZoX///oiNjVXqoC+frVu3olWrVsoyGPn5+di0aZNW2s6dO/Hrr78iKysL8+bNU/I+ceIEnJyccOrUqXq106RJk2BhYYFvv/22RbQLERE1MlPOmkn6wYiZmcvLy8XNzU1mz56tpF29elUsLS0FgJSUlGjNWvvBBx/IsWPH5I033pCsrCxxcXGRVatWKcdmZ2eLi4uL9O7dW37//XeJi4uTtm3bCgCZP3++nDp1Svbu3Su2trYCQBISEiQ/P/+h+eTl5YmISJ8+fXRmtq2eBkBcXV219vnqq6/E2tpaDh06ZFDbVT/+QY6OjmJnZ9ci2sVQxlxPj6q6zPRNVB+c6bt54E/IzBlzg4uMjBQAcunSJa10FxcXrV/GJ598UgDI77//rqStXLlSAEhmZqbWsbt37xYAEhQUpJVXQUGBso9mWYYpU6YYnI9mmYwHVU+rLTAoLy83qD30BRZOTk7StWtX5XtzbxdDoIblHfjhhx/z+JB5swS1GN9++y0AoGfPnlrprVpp97xqunc6duyopCUkJACAzmuxmtXTT58+rZWXtbW1so+XlxcWLVqEK1euKAuG6sunPiwsLOqdR1lZGW7fvq21+ntzbxdDLVq0CC+88EKTldfcaJY2qb4wLlFjSUxMxObNm01dDdKDAVMLcuvWLQBAbm4uunXrZtSxmht+Wloann76aSW9S5cuAIDHH3+81mM1b6Q5OTkpK9jXJZ+mFB8fj9LSUowaNeqh+7XEdnnhhRe4NuFDaNaQYxtRU2LAZP446LsFcXV1BQB8/fXXRh+redJR/VjN7MwPPompLjc3V9nH0Hw0T3M0E0iKiM5s5CqVCuXl5Trl1XdOqdLSUrzzzjsYNGgQFixY8NB9m1O7EBFRIzJ1nyA9HGD4GKYLFy6IpaWl2NnZyZEjR6SwsFDi4+Olffv2AkCuXbsmIiI9e/YUAPLHH38oxxYWFoparZbu3btrjbNZuHChDB06VMrKykTkz/E0D44j2rVrlwwePFjKysoMzmfixIkCQEJCQuTKlSsSHh4unTp1EgBy5MgRqaioEGdnZ7GxsZEbN24o+cTFxUm7du3km2++eWhbFBYWCgDp2bOnVvq5c+dkxIgR0qtXL7l48aLWtubcLoYy5np6VHHQNzU1DvpuHtgl14I888wziI+Px4oVK+Dt7Y3OnTtjzpw5GDhwIJ566in88ssv2LVrF9LS0gAAS5Yswbx58zBw4EC0bdsWiYmJeP/99zFt2jT0798fFhYWsLOzQ3x8PCwttS+VzZs3Y/r06aisrERmZia+//57WFpawtLS0qB81q9fj4yMDGzatAlnzpxBZGQkYmNj0bNnT+Tl5aG8vBze3t7YuXMnzp49CycnJwBVE1G2b99ea0LK6hISErBjxw4AVV1gL7/8MqysrGBlZYXWrVvDx8cH06ZNg42NDYCqVc3DwsKadbsQEVHjUomImLoSVDuVSoXo6GizGU/Rr18/XL58GbxstDWXdjG368kceXt7A/hzLBNRY4uJiYGPj4/Z//141HEMExEREZEe7JIjo2hmDS8oKFC6tIjtQvSga9eu4dChQygpKcHEiRPh7OzcosqjRxOfMJFBCgoKsHLlSuWtrgULFiApKcnEtTI9tgtVd+XKFYSFhSEmJgYDBw6ESqWCWq1GUVGR1n7Hjx/H2LFjoVKpMGTIEMTExJioxvplZGRgx44d8PHxwYsvvljrfvn5+Zg/fz7GjBmDAQMGYNmyZXUKXpq6vIsXL+LVV1+Fvb09OnfujNdffx2ZmZla+2zbtg2DBg2Cra0tBg4cqIyTBKre3F2+fLkytQu1UCYdck56gW81UQMy5fV08+bNZpF3fd6SO3nypPj6+kppaamIiNy7d0+ZxXnOnDk6+6elpQkASU5Orledm8KNGzcEqH2W+ezsbHn22WfFxcVFcnJymk15Fy9elIkTJ8qBAwfk/Pnz4u/vLwBk1KhRyj7Lly8XPz8/iYqKkoULFypLIUVERCj7/P777/Laa69Jamqq0XXgW3LNA39CZo4BEzUkU11P165dk+HDhzeLvOsaMF28eFF69Oghubm5WukAZMSIETW2fVlZmQBQAixz97AAxtPTUywsLCQpKalZlbdlyxYpLCxUvpeVlUmHDh2kXbt2IlIVjE+dOlXrmKNHjwoAcXZ21kr/+eefRa1Wa01NYggGTM0Du+SIqFHdunUL48ePR05OTrPK2xgiAj8/P8yYMQOdOnXS2R4dHQ1HR0fMnj0b165dU9I100m0bt26yeraGOLi4nD48GF4eHjAzc2tWZW3YMECtG3bViutvLwcs2bNAgBcv34dYWFhWtvd3d3RuXNnZGdna6UPGDAAffr0wbJly+pVJzJPDJiIqFb3799HcHAwVqxYgcDAQHh4eCAwMBB5eXkAgK1bt6JVq1bKDOX5+fnYtGmTVtrOnTvx66+/IisrC/PmzQMAJCUlYenSpejVqxdu376NSZMmwc7ODv3790dsbGy98gaAEydOwMnJCadOnWqSdjp48CDOnTuHsWPH1rjdwcEBMTExKCwshI+PD8rKymrNS1+bHzx4EHPnzoWTkxPy8vIwffp02Nvbo3///vjpp5+UfIqLi7Fhwwa88cYbGDJkCMaMGYNffvmlYU/8v3bt2gUA6NGjB0aOHAlbW1sMHjy4TqsOmLq89957D5s3b1aWKhk6dKiyhNGDSktLMXz4cJ10Dw8PbN26FampqfWuC5kZUz/ioocDu+SoARlzPeXn54uLi4usWrVKScvOzhYXFxfp3bu35OXliYhInz59dLoTqqfhga6ViooKiYuLU8aBzJ8/X06dOiV79+4VW1tbASAJCQl1ylvjq6++Emtrazl06JBB5/qgunTJvf7666JSqZQZ2x/0YF3Dw8MFgCxdurTG7Ya0eXp6urRr104ASGhoqFy/fl0+++wzASBubm7KcbNnz5bLly8r393d3aVLly5y//59o86t+rnU1EWmmSU/LCxMMjMzJSkpSZycnESlUsmPP/7YLMo7cOCA0nXaq1cv+fTTT2vdNyEhQdq2bSvnzp3T2Xb+/HkBIB988IHBZbNLrnngT8jMMWCihmTM9bRy5UoBoLWUi4jI7t27BYAEBQWJyJ/LwjyoelpNNz4XFxcBIAUFBUra5s2bBYBMmTKlXnmLiNYyNcaoS8DUs2dP6dChQ43bqtd/8uTJolKp5Ouvv9bZbmibP/nkkzr5dunSRaysrERE5MyZM8pg8+qfuLg4o86t+rnU1NZt2rQRR0dHrTRNEOfn59csyrt7965cvHhRIiMjxdraWgDIzp07dfYrLy+XkSNHyueff15jPhkZGQJAPD09DS6bAVPzwC45IqpRQkICAMDW1lYrXbOQ8OnTp+uVf6tWVX9+rK2tlTQvLy8AVa/m15eFhUW98zBUVlYWOnbsaNC+27Ztg6urK6ZPn46MjAytbYa2uaZL8kEdO3ZESUkJAODs2bNQq9WQqn8Ua33GjRtn3MkZwMHBQWcc1ssvvwwASE5ObhbldejQAf369cNbb72Fv//97wCA3bt36+z3t7/9DaNGjcKUKVNqzQcAbt++Xad6kPliwERENdIENJo19jQ04zkef/zxBi+za9euANDs1sizsLBARUWFQfu2a9cOsbGxKCoqgp+fn9a2hmrz3NxcpKamorCwUGdbZWWlQXkYo2/fvjoDoO3t7QGgxuFC5l0AACAASURBVEHw5l7ehAkTAACPPfaYVnpcXBxsbGwQEhJS67E1BbPUMjBgIqIaaZ5qVB9Iq5mkc/To0QD+vEGUlpYCqHpj7N69e1rHqFQqlJeX6y0zNze3wfI2NIBpCI6Ojsqg7AdpgpPqQYqrqyu2b9+OEydOaKUb2ub6uLq6orCwEOvXr9dKv3TpEiIjIw3Kwxi+vr4oLi7GhQsXlLQ7d+4AAJ577rlmV55m0kpPT08l7bvvvkN6ejqCg4O19k1MTNT6fvfuXQBVT8GohTFhdyAZABzDRA3ImOupsLBQ1Gq1dO/eXWtMzcKFC2Xo0KHKAOeJEycKAAkJCZErV65IeHi4dOrUSQDIkSNHpKKiQpydncXGxkZu3Lih5KMZi/TgWKNdu3bJ4MGD6513XFyctGvXTr755huj26guY5hmzZolKpVK8vPztdIzMzMFgGRkZNR43OLFi7XGrhja5ppBzw/q1q2bAJCysjIpLi6W3r17CwCZOXOm7NmzR959911xd3dXBn1v3LhRnnrqqVrH4lRXWFgoAKRv374628rLy0WtVouvr6+SFhkZKQ4ODnL37l2zLm/Tpk2ybds25SWG4uJiefXVV8XHx0cqKytFROTYsWPyyiuvSGRkpPKJiIiQxYsXy7vvvquV33/+8x8O+m6h+BMycwyYqCEZez3l5+dLUFCQuLu7S2BgoAQFBcnq1aulpKRE2SclJUXc3NzExsZG3N3dJSUlRYYPHy7+/v7yxRdfSElJiaxYsUIcHR1l//79ynGagGnjxo1y584dyc7OlnXr1mlN+lfXvL/77jvp2rWrxMfHG91GdQmYvv/+ewEg3377rZIWGxsrnp6eAkDGjx8vP/zwg85xZWVlMmzYMK00fW0eFRWlDOBes2aN3Lt3TxksD0CWL18uRUVFkpaWJl5eXtKpUydxcHCQOXPmaM2I/eabb0qrVq2kW7dues/vxIkTMmfOHAEgrVu3lg0bNsiFCxe09rl7967MnDlTAgIC5N133xU/Pz9JT083+/JWrVolzs7O0rFjR5k3b54sXLhQjh07pmw/ffq0Mgi8+kelUsnVq1e18vv444/FwsJCJ/1hGDA1DyoRkUZ/jEV1plKpEB0djcmTJ5u6KtQCmNP11K9fP1y+fBnm9ifI29sbALBv3z6jjhs3bhxcXFwQHh7eGNVqFCkpKQgICGiy9Q9benlA1YsLDg4O+OSTTww+JiYmBj4+Pmb3u0DaOIaJiKgB7NixA4cPH242b0cVFhYiIiICn376KctrIGfOnEFKSorOzODUMjBgIiKTKCgo0Ppvc/fEE09g//79WLx4cY1vp5mb1NRUrF27Fmq1muU1gMzMTISGhuLYsWM600JQy8CAiYiaVEFBAVauXKm8+bVgwYIm7TJpTGq1GqGhoYiKijJ1VfRSq9VNemNvyeWVl5dj9+7d2LNnD7p3794kZVLTszR1BYjo0WJjY4PQ0FCEhoaauiqNolevXlx89RFjaWmpM90AtTx8wkRERESkBwMmIiIiIj0YMBERERHpwYCJiIiISA8O+m4Gqq9VRFQfvJ4eLj09HUDVZIJETYG/k80DZ/o2c1z5mojo0cDbsXnjEyYzx18getRolm3hEx4iMiccw0RERESkBwMmIiIiIj0YMBERERHpwYCJiIiISA8GTERERER6MGAiIiIi0oMBExEREZEeDJiIiIiI9GDARERERKQHAyYiIiIiPRgwEREREenBgImIiIhIDwZMRERERHowYCIiIiLSgwETERERkR4MmIiIiIj0YMBEREREpAcDJiIiIiI9GDARERER6cGAiYiIiEgPBkxEREREejBgIiIiItKDARMRERGRHgyYiIiIiPRgwERERESkBwMmIiIiIj0YMBERERHpwYCJiIiISA8GTERERER6MGAiIiIi0oMBExEREZEeDJiIiIiI9GDARERERKSHSkTE1JUgokfTnj17sG3bNlRWVipp165dAwD06tVLSWvVqhVmzZqFqVOnNnkdiYgABkxEZEL/+c9/8Mwzzxi0788//4wBAwY0co2IiGrGgImITMrV1RXJyckP3cfZ2RlXrlxpohoREeniGCYiMil/f3+0bt261u2tW7fGjBkzmrBGRES6+ISJiEwqNTUVzs7OeNifoitXrsDZ2bkJa0VEpI1PmIjIpHr37o1nn30WKpVKZ5tKpcL/+3//j8ESEZkcAyYiMrmAgABYWFjopFtYWCAgIMAENSIi0sYuOSIyuezsbDg6OmpNLwBUTSeQkZGBLl26mKhmRERV+ISJiEzuiSeewMiRI7WeMllYWOCll15isEREZoEBExGZBX9/f52B3/7+/iaqDRGRNnbJEZFZuH//Pjp37ozS0lIAVdMJZGdno0OHDiauGRERnzARkZlo3749xo4dC0tLS1haWsLT05PBEhGZDQZMRGQ2/Pz8UFFRgYqKCq4bR0RmhV1yRGQ2iouLYW9vDxHBnTt30LZtW1NXiYgIAAMmk6tpsj4iIqLqeLs2LUtTV4CARYsW4YUXXjB1NYjg4+Nj8uvxwoULUKlUeOaZZ0xWh4cJDw8HACxevNjENaFHRWJiIjZv3mzqajzy+ITJxFQqFaKjozF58mRTV4XILK7H8vJyAIClpXn+e87b2xsAsG/fPhPXhB4VMTEx8PHx4RMmEzPPv0hE9Mgy10CJiB5tfEuOiIiISA8GTERERER6MGAiIiIi0oMBExEREZEeHF1JRERN6tq1azh06BBKSkowceJEODs7t6jyqGXiEyYianDPP/88goKCTF0Ns3TlyhWEhYUhJiYGAwcOhEqlglqtRlFRkdZ+x48fx9ixY6FSqTBkyBDExMSYqMb6ZWRkYMeOHfDx8cGLL75Y6375+fmYP38+xowZgwEDBmDZsmV1Cl6auryLFy/i1Vdfhb29PTp37ozXX38dmZmZWvts27YNgwYNgq2tLQYOHIgdO3Yo2yoqKrB8+XLcunXL6LLJjAiZFACJjo42dTWIRKThrscpU6ZISEhIA9Sobm7evNloeU+aNEkmTZpUp2NPnjwpvr6+UlpaKiIi9+7dEwACQObMmaOzf1pamgCQ5OTketW5Kdy4cUMAiKura43bs7Oz5dlnnxUXFxfJyclpNuVdvHhRJk6cKAcOHJDz58+Lv7+/AJBRo0Yp+yxfvlz8/PwkKipKFi5cKG3bthUAEhERoezz+++/y2uvvSapqalG1yE6Olp4uzY9/gRMjAETmZOWcD1eu3ZNhg8f3mj51zVgunjxovTo0UNyc3O10gHIiBEjamz7srIyAaAEWObuYQGMp6enWFhYSFJSUrMqb8uWLVJYWKh8Lysrkw4dOki7du1EpCo4nzp1qtYxR48eFQDi7Oyslf7zzz+LWq2WP/74w6g6MGAyD+ySI6IW49atWxg/fjxycnJMXRUtIgI/Pz/MmDEDnTp10tkeHR0NR0dHzJ49G9euXVPSNZN4tm7dusnq2hji4uJw+PBheHh4wM3NrVmVt2DBAp1FoMvLyzFr1iwAwPXr1xEWFqa13d3dHZ07d0Z2drZW+oABA9CnTx8sW7asXnUi02DAREQNprKyEvv27cP06dMxcuRIAMDBgwcxd+5cODk5IS8vD9OnT4e9vT369++Pn376CQCQlJSEpUuXolevXrh9+zYmTZoEOzs79O/fH7GxsQCArVu3olWrVsqC1fn5+di0aZNW2s6dO/Hrr78iKysL8+bNU+p14sQJODk54dSpU03ZHIqDBw/i3LlzGDt2bI3bHRwcEBMTg8LCQvj4+KCsrKzWvO7fv4/g4GCsWLECgYGB8PDwQGBgIPLy8pSy9LU3ABQXF2PDhg144403MGTIEIwZMwa//PJLw574f+3atQsA0KNHD4wcORK2trYYPHgwvv7662ZX3nvvvYfNmzcra7sNHToUXbp00dmvtLQUw4cP10n38PDA1q1bkZqaWu+6UBMz9SOuRx1aQBcItRwNcT1WH1uSnp4u7dq1EwASGhoq169fl88++0wAiJubm1RUVEhcXJwy7mP+/Ply6tQp2bt3r9ja2goASUhIEBGRPn366HRNVE9DDd00X331lVhbW8uhQ4fqdW4ideuSe/3110WlUklZWZnOtgfrHh4eLgBk6dKlNW7Pz88XFxcXWbVqlZKWnZ0tLi4u0rt3b8nLy9Pb3hqzZ8+Wy5cvK9/d3d2lS5cucv/+faPOrfq51NRF1rNnTwEgYWFhkpmZKUlJSeLk5CQqlUp+/PHHZlHegQMHlK7TXr16yaefflrrvgkJCdK2bVs5d+6czrbz588LAPnggw8MLptdcuaBPwETY8BE5qShrsfqN7Inn3xS5w9+ly5dxMrKSvnu4uIiAKSgoEBJ27x5swCQKVOmiIiIq6urTj7V02q7iZaXl9fvpP6rLgFTz549pUOHDjVuq34+kydPFpVKJV9//bXO9pUrVwoAyczM1Dpm9+7dAkCCgoJERH97nzlzRhlsXv0TFxdn1LlVP5ea2r5Nmzbi6OiolaYJ4vz8/JpFeXfv3pWLFy9KZGSkWFtbCwDZuXOnzn7l5eUycuRI+fzzz2vMJyMjQwCIp6enwWUzYDIP7JIjokan6TJ7UMeOHVFSUqJ8b9Wq6s+RtbW1kubl5QWg6lX8+rKwsKh3HnWVlZWFjh07GrTvtm3b4OrqiunTpyMjI0NrW0JCAgDA1tZWK33EiBEAgNOnTwPQ395nz56FWq2GVP2jWeszbtw4407OAA4ODjrjsF5++WUAQHJycrMor0OHDujXrx/eeust/P3vfwcA7N69W2e/v/3tbxg1ahSmTJlSaz4AcPv27TrVg0yHARMRma2uXbsCAJycnExck/qxsLBARUWFQfu2a9cOsbGxKCoqgp+fn9Y2TVCZlpamla4ZQ/P4448bVEZubi5SU1NRWFios62ystKgPIzRt29fnQHQ9vb2AFDjIHhzL2/ChAkAgMcee0wrPS4uDjY2NggJCan12JqCWWoeGDARkdnKzc0FAIwePRrAnzeb0tJSAFVvn927d0/rGJVKhfLycp28DA1YGoOjo6MyKPtBmuCkepDi6uqK7du348SJE1rpmidJ1Qcv37x5E8Cf7aSPq6srCgsLsX79eq30S5cuITIy0qA8jOHr64vi4mJcuHBBSbtz5w4A4Lnnnmt25WkmrfT09FTSvvvuO6SnpyM4OFhr38TERK3vd+/eBVD1FIyaFwZMRNSg/vjjDwBVb3NpFBcX6+yXn58PADrBzYOBzbFjxzB48GDMnTsXQNWNHgDWrFmD3377DVu2bFG6mY4ePYrKykr06dMHmZmZShABVAUYHTp0wJEjRxriFI02cuRI5OfnK22joXkKUlP3jLe3NxYvXqyVFhQUBLVajYiICGRlZSnpUVFRGDp0KN5++20A+tt7woQJ6N27N1avXo1Zs2Zh7969CAkJwaJFizBjxgwAQFhYGJ5++ml88cUXBp2jZqbymgJTf39/qNVqfPjhh0ragQMH4ODggCVLlph1eeHh4di+fbsSmJeUlCA4OBg+Pj5Kex8/fhzr1q1DRUUFoqKiEBUVhcjISCxZsgSHDx/Wyk8TuA0bNsyg8yQzYsoBVMRB32Re6ns9FhQUyIoVK5QBxJs2bZJ169Yp39esWSP37t1TBnMDkOXLl0tRUZEyeHvjxo1y584dyc7OlnXr1mlN8peSkiJubm5iY2Mj7u7ukpKSIsOHDxd/f3/54osvpKSkRFasWCGOjo6yf/9+5bjvvvtOunbtKvHx8fVqH5G6Dfr+/vvvBYB8++23SlpsbKx4enoKABk/frz88MMPOseVlZXJsGHDtNLy8/MlKChI3N3dJTAwUIKCgmT16tVSUlIiIiJRUVEGtXdaWpp4eXlJp06dxMHBQebMmaM1I/abb74prVq1km7duuk9vxMnTsicOXMEgLRu3Vo2bNggFy5c0Nrn7t27MnPmTAkICJB3331X/Pz8JD093ezLW7VqlTg7O0vHjh1l3rx5snDhQjl27Jiy/fTp08og8OoflUolV69e1crv448/FgsLC530h+Ggb/OgEhFpwviMqlGpVIiOjsbkyZNNXRUik16P/fr1w+XLl2Huf5K8vb0BAPv27TPquHHjxsHFxQXh4eGNUa1GkZKSgoCAACQlJbG8BuLl5QUHBwd88sknBh8TExMDHx8fs//daOnYJUdE1AR27NiBw4cPN5u3owoLCxEREYFPP/2U5TWQM2fOICUlRWdmcGoeGDCRSVQfqEtUUFCg9d+W5oknnsD+/fuxePHiGt9OMzepqalYu3Yt1Go1y2sAmZmZCA0NxbFjx3SmhaDmgQET1cu2bdswaNAg2NraYuDAgdixY0et+5aUlGDt2rV48cUXYWdn16hlGWLfvn34y1/+gmeffRYeHh6YMGEC3n77baxfv96kaz097DyPHTsGT09PqFQqqFQqvPLKK3jllVcwZMgQTJgwAdu2bVPeIGsuCgoKsHLlSmWQ9oIFC5q0i6QpqdVqhIaGIioqytRV0UutVjfpjb0ll1deXo7du3djz5496N69e5OUSY3AtEOoCM140Pfy5cvFz89PoqKiZOHChcrSFhEREbUeU1RUJJ06dTJ6AGNdyqpNTk6OvPzyy+Ls7CxnzpxR0isrK+Wzzz4TOzs7mTVrltH5NgRDzvPWrVvK8gwalZWVcujQIenTp4/07dtXfv311zqV35yvx6ZSl0HfRPXBQd/mgT8BE2uuN6ibN2/K1KlTtdKOHj0qAMTZ2fmhx9a0vEVjlVVdZWWlDB06VDp16iS5ubk17nPy5EllKY6mZMx5opYlITIyMsTR0VH69OkjRUVFRtehuV6PTYkBEzU1BkzmgV1yVCfXr1/XGbjo7u6Ozp0768ywa05lxcbGIiEhAcuXL691xt+RI0cqb0I1pYY4T0dHR7z//vu4evUqB5YSETUgBkzNTEFBAdasWQN/f38sXLgQL730ErZs2aJsv3//PoKDg7FixQoEBgbCw8MDgYGByizDBw8exNy5c+Hk5IS8vDxMnz4d9vb26N+/P3766ScAwD//+U/Y2dlBpVJpTfH/8ccfw8LCAlu3bsXQoUOV5RgeVFpaiuHDhyvfi4qKEBgYiLlz5yIkJATvvPOO0YN6DS3rxIkTcHJywqlTp2rNKzY2FgAwatSoh5b52muvKf9vbm2qz6RJk2BhYYFvv/3W4GOIiEgPUz/ietTBiC6QsrIyeemll8Tf318qKytFRGTHjh0CQA4dOiT5+fni4uIiq1atUo7Jzs4WFxcX6d27t+Tl5Ul6erq0a9dOAEhoaKhcv35dWcXbzc1NOS4iIkIAyDfffKOk3bhxQ3x9fWutX0JCgrRt21bOnTsnIlWrdru5ucns2bOVfa5evSqWlpb1frxcvSwRka+++kqsra3l0KFDtR43ZMgQASD37t0zqBxza1MN1NIlp+Ho6Ch2dnYGnWP1fNkl93DskqOmxi4588CJK03MmIkCw8PDsWTJEiQnJ8PFxQVA1bIA//jHP/Dqq69i48aNCA0NRWZmptY6Rf/4xz8QEBCAoKAgrF+/Hq6urkhOTtaaBM3BwQF5eXnKkgplZWVwdnbGwIED8dVXXwEA3nvvPbz22msYOHCgTt0qKiowatQo/O///q+ySndUVBTefvttXLp0SVnSAgCefPJJpKSk1HkStprKenDbw1alf+GFF5CUlKTTRrV59913zapNNVQqFVxdXXHp0qUa692jRw9UVFTg1q1bes+xer6LFi3CCy+8YNRxjxLNxJPVly0haiyJiYnYvHkzJ640NVNGa2Tcv+i9vLwEgBQUFNS4/aWXXhIAWktJiIikpaUJAGWJhZoGXdeUFhYWJq1atZKrV69KaWmpTJ48uda6hYSEyOrVq2usb/XBx8YO+jakLEPNnDlTABi8RIa5takGHvKEqbS0VB577DHx9PTUe3415csPP/yY54dMi2OYmhHNDMFXrlypcXurVlU/zrS0NK10zbiYxx9/3Kjy3njjDdjY2CAyMhJffvklJk2aVON+cXFxsLGx0RqbA0B5uqFZcb4h1FaWoUaOHAkABs/zY25taoj4+HiUlpbqHadVm+joaEjVG7T81PCZNGkSJk2aZPJ68PPofKKjo+v0u0wNiwFTM/LMM88AAEJDQyEiSvr169fxzTffYMSIEQCqVmZ/kGZCwNGjRxtVXvv27fHGG29g+/btiI6OxsSJE3X2+e6775Ceno7g4GCt9MTERKUbrnp96uphZWnUtHL5g/z8/DB48GBs2bIFmZmZNe5TUlKC3bt3A4DZtak+paWleOeddzBo0CAsWLDAqLoREVHtGDA1I8uXL4eNjQ327duH0aNH46OPPsJ7772HDz74AGPHjkVQUBDUajUiIiKQlZWlHBcVFYWhQ4fi7bffBgBlTM2D8vPzAVTNSPugBQsW4I8//sCgQYNgaWmpte348eNYt24dKioqEBUVhaioKERGRmLJkiU4fPgwli1bBktLS7zzzjs4evQoioqKcOLECWRkZADQfWrzMPrKAqqCmg4dOuDIkSO15tOqVSt89tlnaNOmDYYNG4YDBw4oQZamfuPGjcOTTz4JAGbXppp61lTm+fPnMWbMGNy9exd79uzRyZuIiOqOf1GbkV69eiEpKQlLly7Fjz/+iOTkZHh7e2PDhg1QqVRo27YtEhMT8f7772PatGno378/LCwsYGdnh/j4eFhaWuKjjz5SApXQ0FDMnz8fO3bsULrPQkJC8Ne//hVt2rQBAPTs2RPz58/HvHnztOqSmJgILy8vFBYWIj4+XmubSqXCb7/9ht69eyM+Ph4rVqyAt7c3OnfujDlz5mDgwIF46qmnkJqaih49eijdXrUxpCwAsLKyQvv27WFlZfXQ/FxdXfHLL7/go48+wrZt2xAYGAgbGxtYWlpi3LhxiImJUeZoMrc2TUhIUJZKSUtLw8svvwwrKytYWVmhdevW8PHxwbRp02BjY/PQNiAiIuPwLTkTM+YtOaLGxutRP82kpvv27TNxTehRERMTAx8fH/B2bVrskiOT0iwi+7BPcnKyqatJRESPOHbJkUnxX0xERNQcMGAiIqImde3aNRw6dAglJSWYOHEinJ2dm015TV13Mh/skiMiakJXrlxBWFgYYmJiMHDgQKhUKqjVauXtR43jx49j7NixUKlUGDJkCGJiYkxUY/0yMjKwY8cO+Pj44MUXX6x1v/z8fMyfPx9jxozBgAEDsGzZsjoFHE1dnrF5RUREQKVSKd8rKiqwfPlyo2feJzMjZFIA1+4i82HK6/HmzZvNIu/6rCV38uRJ8fX1ldLSUhERuXfvnjKL85w5c3T218won5ycXK86N4UbN24IUPsM9NnZ2fLss8+Ki4uL5OTkNKvyjMnr7NmzYm1trTMz9++//y6vvfaapKamGl0+15IzD3zCREQml5aWBl9f32aXtzEuXbqEgIAAREREoHXr1gCqJjIFqiZI/eSTT3SeInXr1g1A1ZQi5s7Jyemh26dPn46ff/4Zu3fvhr29fbMqz9C88vLy8OWXX9ZYt44dO+Kvf/0rvLy8UFBQUK/6kGkwYCIik7p16xbGjx+PnJycZpW3MUQEfn5+mDFjhjLH14Oio6Ph6OiI2bNn49q1a0q6ZvJRTYDVXMXFxeHw4cPw8PCAm5tbsyrPmLzWrFmDoKAgre64Bw0YMAB9+vTBsmXL6lUnMg0GTERUZ/fv30dwcDBWrFiBwMBAeHh4IDAwEHl5eQCArVu3olWrVsoNJD8/H5s2bdJK27lzJ3799VdkZWUpk3lqJmjt1asXbt++jUmTJsHOzg79+/dHbGxsvfIGgBMnTsDJyQmnTp1qknY6ePAgzp07h7Fjx9a43cHBATExMSgsLISPjw/KyspqzUtfmx88eBBz586Fk5MT8vLyMH36dNjb26N///746aeflHyKi4uxYcMGvPHGGxgyZAjGjBmDX375pWFP/L927doFAOjRowdGjhwJW1tbDB48uMGWTWrM8gzNKyIiApMnT1aeGtbGw8MDW7duRWpqqtF1IRMzdZ/gow4cw0RmxJjrMT8/X1xcXGTVqlVKWnZ2tri4uEjv3r0lLy9PRET69OmjM/6iehoeGItSUVEhcXFx0rZtWwEg8+fPl1OnTsnevXvF1tZWAEhCQkKd8tb46quvxNraWg4dOmTQuT6oLmOYXn/9dVGpVFJWVqaz7cG6hoeHCwBZunRpjdsNafP09HRp166dAJDQ0FC5fv26fPbZZwJA3NzclONmz54tly9fVr67u7tLly5d5P79+0adW/VzqWlMUc+ePQWAhIWFSWZmpiQlJYmTk5OoVCr58ccfzbo8Q/JKTEyUTZs2Kce4urrWOubo/PnzAkA++OADg+vAMUzmgT8BE2PARObEmOtx5cqVAkAyMzO10nfv3i0AJCgoSERqvnlUT6vpxufi4iIApKCgQEnbvHmzAJApU6bUK28RkfLycoPOs7q6BEw9e/aUDh061Litev0nT54sKpVKvv76a53thrb5k08+qZNvly5dxMrKSkREzpw5oww2r/6Ji4sz6tyqn0tNbd2mTRtxdHTUStMEcX5+fmZdnr68cnNzZebMmVJZWalsf1jAlJGRIQDE09PT4DowYDIP7JIjojpJSEgAANja2mqljxgxAgBw+vTpeuWvWWPQ2tpaSfPy8gJQ9Wp+fVlYWNQ7D0NlZWWhY8eOBu27bds2uLq6Yvr06cpC1RqGtnlNY2g6duyIkpISAMDZs2ehVqshVf9o1vqMGzfOuJMzgIODg844rJdffhkAGmUm/4YsT19e8+bNg5+fH1JSUpCcnIzk5GSlnZOTk3W63jp06AAAuH37tlH1INNjwEREdaIJaDQLD2t06dIFAPD44483eJldu3YFoP8NKXNjYWGBiooKg/Zt164dYmNjUVRUBD8/P61tDdXmubm5SE1N8/BnZgAAIABJREFURWFhoc62yspKg/IwRt++fZGdna2VpnnbrKZB8OZUnr68Dh48iFdeeQWurq7KRzNw39XVFR4eHlrH1jYgnMwfAyYiqhPNU43qg19v3rwJABg9ejSAP28QpaWlAKreGLt3757WMSqVCuXl5XrLzM3NbbC8DQ1gGoKjo6MyKPtBmuCkepDi6uqK7du348SJE1rphra5Pq6urigsLMT69eu10i9duoTIyEiD8jCGr68viouLceHCBSXtzp07AIDnnnvOrMvTl1dRUZHOUzpXV1cAVddj9aehd+/eBVD15IqaGdP0BJIGOIaJzIgx12NhYaGo1Wrp3r271piahQsXytChQ5UBzhMnThQAEhISIleuXJHw8HDp1KmTAJAjR45IRUWFODs7i42Njdy4cUPJRzMO5MGxRrt27ZLBgwfXO++4uDhp166dfPPNN0a3UV3GMM2aNUtUKpXk5+drpWdmZgoAycjIqPG4xYsXa41dMbTNNQOVH9StWzcBIGVlZVJcXCy9e/cWADJz5kzZs2ePvPvuu+Lu7q4M+t64caM89dRT8vnnnxt0joWFhQJA+vbtq7OtvLxc1Gq1+Pr6KmmRkZHi4OAgd+/eNevyDMmruoeNYfrPf/7DQd/NFJ8wEVGdtG3bFomJifD19cW0adOwdOlSBAcHw87ODvHx8cocQuvXr4ebmxs2bdqEt956C+PGjcPTTz8Nf39/5OXloby8HN7e3mjfvj3Onj2rU87mzZuRm5uLnJwcZGZm4vvvv6933lZWVmjfvj2srKyapK0CAgIgIkhMTFTSDhw4gFmzZgEA5syZg3/96186x23YsAHDhg1TvhvS5h999JHSZRcaGor79+9jy5YtyrIcISEhEBHEx8fDy8sLX375JQIDA5GdnY09e/Yo46NSU1Nx+fJlLF26VO/5nTx5EosWLQJQ1V344Ycf4ueff1a2W1hY4IcffkCbNm0wbdo0hISEICkpCf/+97+VMT3mWp4heRkjISEBFhYWmDx5stHHkmmpRLhcvCmpVCpER0fzl4fMgjldj/369cPly5dhbn+ivL29AQD79u0z6rhx48bBxcUF4eHhjVGtRpGSkoKAgAAkJSWxvAbi5eUFBwcHfPLJJwYfExMTAx8fH7P7XXjU8AkTEVET2LFjBw4fPtxs3o4qLCxEREQEPv30U5bXQM6cOYOUlBSEhYU1WZnUcBgwEZFZ0qy31VLW3XriiSewf/9+LF68uMa308xNamoq1q5dC7VazfIaQGZmJkJDQ3Hs2DGdaSGoeWDARERmpaCgACtXrlTe/FqwYEGTdpk0JrVajdDQUERFRZm6Knqp1eomvbG35PLKy8uxe/du7NmzB927d2+SMqnhWZq6AkRED7KxsUFoaChCQ0NNXZVG0atXLy6++oixtLREcHCwqatB9cQnTERERER6MGAiIiIi0oMBExEREZEeDJiIiIiI9ODElSamUqnw/PPP880JMgv//Oc/eT3qoXlj7/nnnzdxTehRkZ6ejqSkJE5caWIMmExMM2swEVU5f/48AGDQoEEmrgmReTF2dnlqWAyYiMisaJZliYmJMXFNiIj+xDFMRERERHowYCIiIiLSgwETERERkR4MmIiIiIj0YMBEREREpAcDJiIiIiI9GDARERER6cGAiYiIiEgPBkxEREREejBgIiIiItKDARMRERGRHgyYiIiIiPRgwERERESkBwMmIiIiIj0YMBERERHpwYCJiIiISA8GTERERER6MGAiIiIi0oMBExEREZEeDJiIiIiI9GDARERERKQHAyYiIiIiPRgwEREREenBgImIiIhIDwZMRERERHowYCIiIiLSgwETERERkR4MmIiIiIj0YMBEREREpAcDJiIiIiI9GDARERER6cGAiYiIiEgPS1NXgIgeXYWFhSgpKdFKKy0tBQDcvXtXK93KygrW1tZNVjciogepRERMXQkiejR99NFHeOuttwzaNyoqCm+++WYj14iIqGYMmIjIZHJycuDo6IiKioqH7mdhYYHMzEx07ty5iWpGRKSNY5iIyGQ6d+6MUaNGwcLCotZ9LCwsMHr0aAZLRGRSDJiIyKT8/PzwsAfdIgI/P78mrBERkS52yRGRSeXn56Nz5846g781HnvsMeTk5KB9+/ZNXDMioj/xCRMRmZStrS3+8pe/oHXr1jrbLC0tMWHCBAZLRGRyDJiIyOSmTp2K8vJynfSKigpMnTrVBDUiItLGLjkiMrnS0lLY29sjPz9fK71du3a4c+cOrKysTFQzIqIqfMJERCb32GOPwdvbG4899piS1rp1a/j4+DBYIiKzwICJiMyCr6+vMss3AJSVlcHX19eENSIi+hO75IjILFRWVsLBwQE5OTkAAHt7e2RlZT10jiYioqbCJ0xEZBZatWoFX19fPPbYY2jdujWmTp3KYImIzAYDJiIyG6+//jpKS0vZHUdEZseyekJ6ejpOnz5tiroQ0SNORGBnZwcAuHbtGtLS0kxbISJ6JL344ovo3r27VprOGKaYmBj4+Pg0acWIiIiIzEV0dDQmT56slabzhEmDY8GJyBQuXrwIAHjqqadMXJPG5e3tDQDYt2+fiWtivjT/gOf9iJqSSqWqMb3WgImIyBRaeqBERM0TB30TERER6cGAiYiIiEgPBkxEREREejBgIiIiItKDARMRERGRHnxLjoiIqIW6du0aDh06hJKSEkycOBHOzs7Nprymrrs+fMJERNSMPf/88wgKCjJ1NczSlStXEBYWhpiYGAwcOBAqlQpqtRpFRUVa+x0/fhxjx46FSqXCkCFDEBMTY6Ia65eRkYEdO3bAx8cHL774Yq375efnY/78+RgzZgwGDBiAZcuW1SngaOryjM0rIiJCa96kiooKLF++HLdu3apT2Q8l1URHR0sNyURE1IAmTZokkyZNqnc+U6ZMkZCQkAaoUd3cvHmz0fKuz/3o5MmT4uvrK6WlpSIicu/ePQEgAGTOnDk6+6elpQkASU5Orledm8KNGzcEgLi6uta4PTs7W5599llxcXGRnJycZlWeMXmdPXtWrK2tda6R33//XV577TVJTU2tUx0ASHR0tE46u+SIiJqxzz//3GRlp6WlISAgAKdOnTJZHWpy6dIlBAQE4Pz582jdujUAoH379gCAESNG4JNPPsGoUaO0lr7o1q0bAKBXr15NX2EjOTk5PXT79OnT8fPPPyMhIQH29vbNqjxD88rLy8OXX34JJycnJCcna23r2LEj/vrXv8LLywtJSUmwsbGpV5002CVHRERGu3XrFsaPH4+cnBxTV0WLiMDPzw8zZsxAp06ddLZHR0fD0dERs2fPxrVr15R0S8uq5weaAKu5iouLw+HDh+Hh4QE3N7dmVZ4xea1ZswZBQUG1LmMyYMAA9OnTB8uWLatXnR7EgImIqBmqrKzEvn37MH36dIwcORIAcPDgQcydOxdOTk7Iy8vD9OnTYW9vj/79++Onn34CACQlJWHp0qXo1asXbt++jUmTJsHOzg79+/dHbGwsAGDr1q1o1aqVcjPKz8/Hpk2btNJ27tyJX3/9FVlZWZg3b55SrxMnTsDJyclkT50OHjyIc+fOYezYsTVud3BwQExMDAoLC+Hj44OysrJa87p//z6Cg4OxYsUKBAYGwsPDA4GBgcjLy1PK0tfeAFBcXIwNGzbgjTfewJAhQzBmzBj88ssvDXvi/7Vr1y4AQI8ePTBy5EjY2tpi8ODB+Prrr82+PEPzioiIwOTJk5WnhrXx8PDA1q1bkZqaanRdalS9j45jmIiIGl9DjGGqPrYkPT1d2rVrJwAkNDRUrl+/Lp999pkAEDc3N6moqJC4uDhp27atAJD58+fLqVOnZO/evWJraysAJCEhQURE+vTpo3MvqJ6GGsa1fPXVV2JtbS2HDh2q17mJ1O1+9Prrr4tKpZKysjKdbQ/mFR4eLgBk6dKlNW7Pz88XFxcXWbVqlZKWnZ0tLi4u0rt3b8nLy9Pb3hqzZ8+Wy5cvK9/d3d2lS5cucv/+faPOrfq51DSmqGfPngJAwsLCJDMzU5KSksTJyUlUKpX8+OOPZl2eIXklJibKpk2blGNcXV1rvUbOnz8vAOSDDz4wqh6oZQwTAyYiIhNoqEHf1W9kTz75pM7f8C5duoiVlZXy3cXFRQBIQUGBkrZ582YBIFOmTBGRmm9E1dNqu4mWl5fX76T+qy73o549e0qHDh1q3FY9r8mTJ4tKpZKvv/5aZ/vKlSsFgGRmZmods3v3bgEgQUFBIqK/vc+cOaMMNq/+iYuLM+rcqp9LTW3fpk0bcXR01ErTBHF+fn5mXZ6+vHJzc2XmzJlSWVmpbH9YwJSRkSEAxNPT06h61BYwsUuOiKgFqWlMR8eOHVFSUqJ8b9Wq6k+/tbW1kubl5QWg6lX8+rKwsKh3HnWVlZWFjh07GrTvtm3b4OrqiunTpyMjI0NrW0JCAgDA1tZWK33EiBEAgNOnTwPQ395nz56FWq2GVD2g0PqMGzfOuJMzgIODg844rJdffhkAdAZHm1t5+vKaN28e/Pz8kJKSguTkZCQnJyvtnJycrNP11qFDBwDA7du3japHbRgwERERunbtCkD/G1HmzsLCAhUVFQbt265dO8TGxqKoqAh+fn5a2zRBZVpamlZ6ly5dAACPP/64QWXk5uYiNTUVhYWFOtsqKysNysMYffv2RXZ2tlaa5m2zmgbBm1N5+vI6ePAgXnnlFbi6uiofzcB9V1dXeHh4aB1b24DwumLAREREyM3NBQCMHj0awJ83m9LSUgBVb5/du3dP6xiVSoXy8nKdvAwNWBqDo6OjMij7QZrgpHqQ4urqiu3bt+PEiRNa6ZonSdUHHN+8eRPAn+2kj6urKwoLC7F+/Xqt9EuXLiEyMtKgPIzh6+uL4uJiXLhwQUm7c+cOAOC5554z6/L05VVUVKTzlM7V1RVA1fVZ/eno3bt3AVQ9uWoIDJiIiJqpP/74A0DV21waxcXFOvvl5+cDgE5w82Bgc+zYMQwePBhz584FAOVGtGbNGvz222/YsmWL0v1x9OhRVFZWok+fPsjMzFSCCKAqwOjQoQOOHDnSEKdotJEjRyI/P19pGw3Nk4uaume8vb2xePFirbSgoCCo1WpEREQgKytLSY+KisLQoUPx9ttvA9Df3hMmTEDv3r2xevVqzJo1C3v37kVISAgWLVqEGTNmAADCwsLw9NNP44svvjDoHDUzldcUmPr7+0OtVuPDDz9U0g4cOAAHBwcsWbLErMszJC9jaIKtYcOGGX1sTRgwERE1Q4WFhVi7di2AquUrwsPDsX79eqULKTQ0FPfv38eWLVuUZSJCQkK0bvCbN29Gbm4ucnJykJmZie+//16Zj2j9+vVwc3PDpk2b8NZbb2HcuHF4+umn4e/vj7y8PJSXl8Pb2xvt27fH2bNnlTytrKzQvn17WFlZNVFLaAsICICIIDExUUk7cOAAZs2aBQCYM2cO/vWvf+kct2HDBq0ba9u2bZGYmAhfX19MmzYNS5cuRXBwMOzs7BAfHw9LS0t89NFHettbRBAfHw8vLy98+eWXCAwMRHZ2Nvbs2aOMj0pNTcXly5exdOlSved38uRJLFq0CEBVd+GHH36In3/+WdluYWGBH374AW3atMG0adMQEhKCpKQk/Pvf/1bG9JhreYbkZYyEhARYWFhoTVBaH6r/jghXxMTEwMfHB9WSiYioAXl7ewMA9u3b1+Rl9+vXD5cvXzb7v/N1vR+NGzcOLi4uCA8Pb6SaNbyUlBQEBAQgKSmJ5TUQLy8vODg44JNPPjHqOJVKhejoaJ1Ai0+YiIioRdmxYwcOHz7cYG9HNbbCwkJERETg008/ZXkN5MyZM0hJSUFYWFiD5dlgAdODfehNyVTlmovs7Gzs27dPeTRPzdujdD3z2jWdgoICrf+2NE888QT279+PxYsX1/h2mrlJTU3F2rVroVarWV4DyMzMRGhoKI4dO6YzLUR91CtgqqiowPr16zF8+HDY2dk1VJ0MsnHjRowcObLJyzUnly9fxurVqzF58mT84x//0Nr2/PPPIygoqNHr0FTl1Gbbtm0YNGgQbG1tMXDgQOzYscPoPBYuXAh7e3uoVCq0bt0af/nLXzB27FgMGTIEY8eOxT//+c9GqLk2Q67nmJgYDBw4ECqVCmq1WhmIqXH8+HGMHTsWKpUKQ4YMQUxMTGNXu8547ZpGQUEBVq5cqQzSXrBgQZN2kTQltVqN0NBQREVFmboqeqnV6ga9sT/K5ZWXl2P37t3Ys2cPunfv3rCZV5/J0tiZVYuKiqRTp04NMjv4zZs3Dd63uLhY7OzsHvlZyYuLi2ucgXXKlCkSEhLSoGXV9PNpjHIMtXz5cvHz85OoqChZuHChstxDRESE0XllZmYKAHFxcVHSSkpKZNGiRQJANm7caHSejXE937t3T5kleM6cOTrb09LSBIAkJycbXd+m9ihfuyINN9N3S8aVJ8gU0JhLozxsanJDXbt2TYYPH97k5bYENd10Glpdfj6N6ebNmzJ16lSttKNHjwoAcXZ2rlOeNbVjWVmZtG3bVnr37m1UXo15PQOQESNG1PhLXVZWJgCktLTUqLJN5VG8djUYMOnHgIlMobaAySwGfd+6dQvjx49HTk6OqatCNTDHn8/169d1BvO5u7ujc+fOOjPF1oelpSVsbW2NGlvUFO0VHR0NR0dHzJ49W5npFoDySnj15QUeVeZ47RJR89SgAdNvv/0GLy8vdOrUCc899xxOnjypbLty5Qq8vb2xfPlyBAQEYMSIEfi///s/AMDOnTvx66+/IisrC/PmzVOOKSgowJo1a+Dv74+FCxfipZdewpYtW3TKzcnJwaRJk2BnZwe1Wo1///vfBtf54MH/z969x0VV7f0D/4yDooAKggEqHfFCY47m0Z9RWmma4kuNskdEOYDk9fEpLwSCHuPk6Ug+aooe1Od1NC9Z1AHLK1qdTM1CMC2zUypqiDdQCB0hAbl9f39wZscwgzODwAz5eb9e86pZe++11l5s2F/3WnutPZg5cyZ8fHyg0+kQEREBDw8P9OnTB99++62yX2FhIWJjY7Fw4UJERUUhICAAUVFR0Ol0qKqqwpdffonIyEj4+voiJycHQ4cOxR/+8Afk5OQgKSkJISEhGDx4MDIyMtC/f3907doVaWlpOHfuHMaNG4eOHTuiV69eBmWaazdTqqqqsH37dkRERGDIkCFKeocOHTBx4kRERkYiMjISXl5eUKvVyvwp1v586irnXu1kTXubM3jwYGWJgprKysrw9NNPK98PHToEHx8fHDlyxOK8a/roo4+Ql5eHKVOmGKTb+nr28vJCSkoKiouLERwcjPLy8jrPgdeufV27RNRM1X7kdD9dcvPmzZPPP/9c/vGPf4izs7Oo1Wr54YcfRESkZ8+e0r17dxGp7jZwdXUVrVZr8Ais5qP58vJyGTp0qISFhSkrE2/ZskUAyN69ew3KfeONNyQ7O1v27dsnAOTJJ5+0uO5Xr14VFxcXASDx8fFy6dIlZXVkf39/EREpKioSPz8/Wbx4sXJcXl6e+Pn5Sbdu3SQvL0+OHj0qTk5OAkCWLl0qBw4ckGnTpklRUZFcuHBBAEj79u1l3759cvr0aQEgXbt2lRUrVsjt27fl5MmTAkCGDh1qUD9z7Waq7S5fvmyQVlFRYVD3Tz/9VABIbGysxeXULsNUOebaSafTWdTe9ZWWliZt2rSR7777TknbvXu3ODk5KdfMveh/RhERERIaGiqDBg0SNzc32bBhg8Hq2CK2vZ5r/n4mJCQIAImOjja5ndeu/V677JIzj11yZAuoo0uuQSau1E+CVlhYqIyE//vf/465c+di8uTJ2Lp1KxISEuDt7Y2JEydCRNCzZ09cvnxZWadIpVJBo9HgzJkzAICEhAS89tpryMzMhJ+fH4Dqt/Lee+89vPjii3B1dVXKraqqUtY98vDwQElJiVWvy2o0GmRmZhqcs5eXF3Q6HUpLS/H6668jPj4eubm5BmvSvPfeewgPD0dMTAyWLVum5HPz5k2j1bJrn1+XLl1w7do1gzI9PT1RVlamrH+jb4d7tZupvE2llZaWonXr1tDpdNBqtejQoQNOnDiBVq1aWVSOqTJqp1vbTnW1d31UVlZi+PDh+O///m9MnDjRaJslq6erVCr06NEDX3zxBYqLi3HlyhXs3LkTW7ZswSuvvILly5crC3La8npWqVQGbRccHIzt27cjNTUVo0ePNtjOa9d+r92goCBkZGTgiSeesOq4B8nVq1eRkZGB8ePH27oq9AD56KOPTE5c6dCQhdR8bfDFF1/E3Llzcfr0aQBAZGQk7ty5g/Xr1+PmzZu4e/fuPbsR9N15NV8LVKvViIiIMNq35orEHTt2xNmzZ62qt6kVjd3c3JRJz9LS0gDA6LVI/eKMR48eNcin9g3HFFOvWHbo0MGo7ta2W11at24NoPo14vz8fOzbt0+54TRUOda2U00127s+/vrXv2L48OFGwRIAi4IlPQcHBzz88MMAqgPpESNG4NFHH8Xs2bPRsWNHxMbGArCv63nTpk3497//jYiICINFKwFeu5ay5bVLRM1DgwZMNenHl+hvPsePH0dwcDDWr1+P//mf/0FSUtI9j9f/ATp//jwee+yxxqqmRfRPFbKzs9G7d28lXX+O7du3b7SyrW23e9m1axfee+89LF261KhNG6IcW7VTamoqnJ2dlWCmoQUFBWH27NnYvXu3UoY9Xc8uLi7YsWMHBg4ciNDQUINtvHYtY6t2euKJJ2yyNEpzoe/xYBtRUzL1DyOgEZdG0U+MNnbsWADVCyKWl5dj1KhRAKoHXtauYM2VtPV/FOPj4w0ef1+6dAmffPJJY1XbJP2/Mvft22eQrj/H5557rtHKNtdulvrll18wc+ZMPPnkk5g/f76Srl9E0dqfjym2aKfPP/8cV69eNQqWai68aWqFbWvogx1vb28lzVbXs76c2uVpNBps3rwZhw4dMkjntWu/1y4RNTO1BzXVZ5Bdr169BIDcvHlTSfuf//kfeeGFF5Tv7du3F5VKJf/6178kKSlJHnroIQEgx44dkytXrkiPHj3E2dlZLl++LCIiWVlZ4uzsLABk2LBhsm7dOomLi5OZM2cqg2Y7deokAKSwsFApx9vbWwDIr7/+anH9u3btanTOnTt3FgBSXl4uxcXFotVqpUuXLpKbm6vsM3fuXBk8eLCUl5cb5FO77JKSEgEgjzzyiJLWvXt3ASBFRUVG9aisrLS43YqLi5VBuHpFRUUCQDp16qSk/dd//Zc4OzvL+fPnlbSbN2/KggULLCqn9s/HVDnWtlNd7W2pAwcOyLBhw2Tt2rXKJzExUSIjI+X1118XEZHU1FRxcXGRTz755J556X9GDz/8sEH6jRs3ZNCgQdKqVSv55ptvlHRbXc/6CTZzcnJMnkdkZKRB2/Latc9rV4SDvi3BQd9kC2jMiSs///xzef7552Xo0KEyY8YMmTNnjqxbt87gj+e6deukffv28vjjj0tGRoasWbNG3Nzc5IUXXpCCggJZuHCheHt7y8cff6wc8+9//1sCAgLEzc1NOnfuLPPmzZPbt29LVVWVrFixQpnxeN68efLrr7/K8uXLlbSoqCi5e/eu2bqvW7dOOWbJkiVy+/ZtWb16tZK2YMECKSkpkaKiIomJiZGRI0dKVFSUxMTEyJtvvil3796VO3fuyJtvvmkwA/PJkydFpPqG+9prrwkAcXR0lAMHDshnn30mDg4OAkDmzJkjBQUFkpiYKCqVSgDI8uXL5ZdffjHbbidOnJA5c+Yo5a5evVquXbsmCxcuVNJWrVqlvI2l1Wpl3rx5Mm/ePJk6dar06NFDVq1aVa+fz507d4zKKSwsvGc7WdPe5tR8s6v2R6VSyc8//6xcm506dZKDBw/WmdfHH38s48ePV4739/eXUaNGyaBBg6RXr14yadIk+fHHH42um6a+nv/5z3/K6NGjBYCMHTtWvvrqK6NzKS8vl6eeesogjdeufV27egyYzGPARLZQV8DUIG/JERGRdYKCggCA43PugfcjsgWVSmXyLTm7mOm7sahUKrOfzMxMW1eTauHPjYiI7E2jvSVnD/ivkuaJPzciooZx8eJF7N27F3fv3sW4cePQo0ePZlNeU9fdnN/1EyYiInpwnT9/HitXrkRKSgr69esHlUoFrVaLkpISg/2++OILjBo1CiqVCgMHDkRKSoqNamxeTk4OtmzZguDgYAwaNKjO/YqKijB79myMGDECffv2xfz58+sVcDR1edbmlZiYaDANQGVlJRYsWIBr167Vq+x7qj2oiYPsiIgan60HfV+5csXu876f+9Hhw4clJCREysrKRETk9u3bBi831JadnS0AJDMz877q3BRqL+1TW15envTv31/8/PwkPz+/WZVnTV7Hjx9XXv6p6ebNm/LSSy9JVlZWveqAOgZ98wkTEdEDJjs7GyEhIc0ub0udOXMG4eHhSExMRMuWLQEA7dq1A1A959aGDRuMniJ17twZAODr69u0la0HHx+fe26PiIjAqVOnsG3bNnh4eDSr8izNS6fTYdeuXSbr5ubmhjfeeAOBgYFWLZNmDgMmIqIHyLVr1zB27Fjk5+c3q7wtJSIIDQ3Fyy+/jA4dOhhtT05Ohre3N6ZPn46LFy8q6Q4O1UN69QFWc5Wamor9+/cjICAA/v7+zao8a/JasmQJYmJi6pyVu2/fvujevbvBZLf3iwETEVEzUVhYiNjYWCxcuBBRUVEICAhAVFQUdDodAGDjxo1o0aKFchMpKirCqlWrDNK2bt2Kn376CdevX8esWbMAABkZGYiOjoavry9u3LiB8ePHw93dHX369MGOHTvuK28AOHToEHx8fHDkyJFGb6M9e/bgu+++U2Z+r83LywspKSkoLi5GcHDwPdcdNNfee/bswcyZM+Hj4wO9Tr2gAAAgAElEQVSdToeIiAh4eHigT58++Pbbb5V8SktLsXz5ckybNg0DBw7EiBEj8OOPPzbsif/Hu+++C6B6WbIhQ4agbdu2GDBggNEs9vZYnqV5JSYmYsKECcpTw7oEBARg48aNyMrKsrouJtXuo+MYJiKixmftGKaioiLx8/OTxYsXK2l5eXni5+cn3bp1E51OJyK/zcReU+001BiPUllZKampqdKmTRsBILNnz5YjR47IBx98IG3bthUAkpaWVq+89Xbv3i1OTk6yd+9ei89XpH73o0mTJolKpTI583rNvBISEgSAREdHm9xuSXtfvXpVXFxcBIDEx8fLpUuX5P3331cmwNWbPn26nD17Vvk+cuRI8fT0NJjV31qm2lnkt9noV65cKbm5uZKRkSE+Pj6iUqkMViuwx/IsySs9PV2ZtFZERKPR1HmNnDx5UgDI0qVLraoHGnOmbyIiso61AdOiRYsEgMHSLSIi27ZtEwASExMjIqZvILXTTN38/Pz8BIDcuXNHSdPPZD5x4sT7yltEpKKiwuJz1avP/ahr167i6upqclvtvCZMmCAqlUr27dtntN3S9n7kkUeM8vX09BRHR0cRETl27JjJFQkASGpqqlXnVvtcTLVz69atxdvb2yBNH8SFhobadXnm8iooKJApU6Yoy0mJ3DtgysnJEQAyevRoq+pRV8DELjkiomYgLS0NANC2bVuDdP3CwUePHr2v/Fu0qL4dODk5KWmBgYEAql/Pv19qtfq+87DE9evX4ebmZtG+mzZtgkajQUREBHJycgy2WdrepsbQuLm54e7duwCA48ePQ6vVQqofUBh8xowZY93JWcDLy8toHNazzz4LAI0y4W9Dlmcur1mzZiE0NBTnzp1DZmYmMjMzlXbOzMw06npzdXUF8NsC6veLARMRUTOgD2iys7MN0j09PQEA7du3b/AyO3XqBMD8W1L2RK1Wo7Ky0qJ9XVxcsGPHDpSUlCA0NNRgW0O1d0FBAbKyslBcXGy0raqqyqI8rNGzZ0/k5eUZpOnfNjM1CN6eyjOX1549ezBs2DBoNBrlox+4r9FoEBAQYHBsXQPC64sBExFRM6B/slF7AOyVK1cAAM899xyA324SZWVlAKrfGrt9+7bBMSqVChUVFWbLLCgoaLC8LQ1i7pe3t7cyKLsmfXBSO0jRaDTYvHkzDh06ZJBuaXubo9FoUFxcjGXLlhmknzlzBmvXrrUoD2uEhISgtLQU33//vZL2yy+/AAAef/xxuy7PXF4lJSVGT+k0Gg2A6mux9pPQW7duAah+ctUgavfRcQwTEVHjs3YMU3FxsWi1WunSpYvBuJq5c+fK4MGDlUHO48aNEwASFxcn58+fl4SEBOnQoYMAkE8//VQqKyulR48e4uzsLJcvX1by0Y8FqTnW6N1335UBAwbcd96pqani4uIin3zyiVVtVJ/70dSpU0WlUklRUZFBem5urgCQnJwck8dFRkYalGVpe+sHKtfUuXNnASDl5eVSWloq3bp1EwAyZcoUSUpKktdff11GjhypDPp+++235dFHH5UPP/zQonMsLi4WANKzZ0+jbRUVFaLVaiUkJERJW7t2rXh5ecmtW7fsujxL8qrtXmOYfvjhhwYd9M0nTEREzUCbNm2Qnp6OkJAQTJ48GdHR0YiNjYW7uzsOHjyozCO0bNky+Pv7Y9WqVXjllVcwZswY9O7dG2FhYdDpdKioqEBQUBDatWuH48ePG5WzevVqFBQUID8/H7m5ufjyyy/vO29HR0e0a9cOjo6Ojd5O4eHhEBGkp6craTt37sTUqVMBADNmzMDXX39tdNzy5cvx1FNPKd8tae/169crXXbx8fEoLCzEmjVrlGU54uLiICI4ePAgAgMDsWvXLkRFRSEvLw9JSUnK+KisrCycPXsW0dHRZs/v8OHDmDdvHoDq7sIVK1bg1KlTyna1Wo2vvvoKrVu3xuTJkxEXF4eMjAycOHFCGdNjr+VZkpc10tLSoFarMWHCBKuPNUX1n2hKkZKSguDgYC6ASkTUiIKCggAA27dvt3FNqvXq1Qtnz561q7/99b0fjRkzBn5+fkhISGikmjW8c+fOITw8HBkZGSyvgQQGBsLLywsbNmyw6jiVSoXk5GSjQItPmIiI6Hdly5Yt2L9/f4O9HdXYiouLkZiYiHfeeYflNZBjx47h3LlzWLlyZYPlyYCJiIiUNbcacu0tW3nooYfw8ccfIzIy0uTbafYmKysLb731FrRaLctrALm5uYiPj8eBAweMpoW4HwyYiIgeYHfu3MGiRYuUt7/mzJnTpN0mjUWr1SI+Ph7r1q2zdVXM0mq1DXpjf5DLq6iowLZt25CUlIQuXbo0aN4ODZobERE1K87OzoiPj0d8fLytq9LgfH19G3TxVbJ/Dg4OiI2NbZS8+YSJiIiIyAwGTERERERmMGAiIiIiMoMBExEREZEZDJiIiIiIzKjzLbmGXuWXiIiM8W+teWwjsgdGS6NcvXoVR48etVV9iOgBp1/OIjIy0sY1IaIH1aBBg4zmcTIKmIiIbEm/flNKSoqNa0JE9BuOYSIiIiIygwETERERkRkMmIiIiIjMYMBEREREZAYDJiIiIiIzGDARERERmcGAiYiIiMgMBkxEREREZjBgIiIiIjKDARMRERGRGQyYiIiIiMxgwERERERkBgMmIiIiIjMYMBERERGZwYCJiIiIyAwGTERERERmMGAiIiIiMoMBExEREZEZDJiIiIiIzGDARERERGQGAyYiIiIiMxgwEREREZnBgImIiIjIDAZMRERERGYwYCIiIiIygwETERERkRkMmIiIiIjMYMBEREREZAYDJiIiIiIzGDARERERmcGAiYiIiMgMBkxEREREZjjYugJE9OA6duwYTp06ZZCWlZUFANiwYYNB+mOPPQZ/f/8mqxsRUU0qERFbV4KIHkypqal4/vnnoVar0aJF9QNv/Z8klUoFAKiqqkJlZSX27t2LsWPH2qyuRPRgY8BERDZTXl4ODw8PFBYW3nO/du3aIT8/H61atWqimhERGeIYJiKymZYtW2LSpEn3DIQs2YeIqLExYCIim5o0aRLKysrq3F5eXo6QkJAmrBERkTF2yRGRTVVVVaFTp064ceOGye0dO3bE9evXlTFORES2wL9ARGRTLVq0QFhYmMkut1atWiEiIoLBEhHZHP8KEZHN1dUtV1ZWhkmTJtmgRkREhtglR0R2oWfPnrhw4YJBWrdu3fDzzz/bqEZERL/hEyYisguhoaFo2bKl8r1Vq1aYPHmyDWtERPQbPmEiIrtw4cIF9OzZ0yAtMzMTfn5+NqoREdFv+ISJiOxCjx498Nhjj0GlUkGlUuGxxx5jsEREdoMBExHZjfDwcKjVaqjVaoSHh9u6OkRECnbJEZHdyMnJgY+PD0QEV65cQefOnW1dJSIiAAyYbC4oKMjWVSCyK4cPHwYADB061Kb1ILI327dvt3UVHmjskrOxjz76CFevXrV1NYgA2Mf1+PDDD+MPf/iDTetwLxkZGcjIyLB1NegBcvXqVXz00Ue2rsYDj0+YbEylUiE5ORkTJkywdVWI7OJ6vHnzJgCgQ4cONqvDveifCvNf+9RUUlJSEBwcDN6ubcvB1hUgIqrJXgMlInqwsUuOiIiIyAwGTERERERmMGAiIiIiMoMBExEREZEZHPRNRERN6uLFi9i7dy/u3r2LcePGoUePHs2mvKauO9kPPmEiogb3xBNPICYmxtbVsEvnz5/HypUrkZKSgn79+kGlUkGr1aKkpMRgvy+++AKjRo2CSqXCwIEDkZKSYqMam5eTk4MtW7YgODgYgwYNqnO/oqIizJ49GyNGjEDfvn0xf/78egUcTV2etXklJiZCpVIp3ysrK7FgwQJcu3atXmWTnRCyKQCSnJxs62oQiUjDXY8TJ06UuLi4BqhR/Vy5cqXR8h4/fryMHz++XscePnxYQkJCpKysTEREbt++LQAEgMyYMcNo/+zsbAEgmZmZ91XnpnD58mUBIBqNxuT2vLw86d+/v/j5+Ul+fn6zKs+avI4fPy5OTk5S+/Z68+ZNeemllyQrK8vq8pOTk43yo6bHLjkianAffvihzcrOzs5GeHg4jhw5YrM6mHLmzBmEh4fj5MmTaNmyJQCgXbt2AIBnnnkGGzZswPDhww0mDdWvpefr69v0FbaSj4/PPbdHRETg1KlTSEtLg4eHR7Mqz9K8dDoddu3aBR8fH2RmZhpsc3NzwxtvvIHAwEBkZGTA2dn5vupETY9dckT0u3Ht2jWMHTsW+fn5tq6KARFBaGgoXn75ZZMTcyYnJ8Pb2xvTp0/HxYsXlXQHh+p/0+oDrOYqNTUV+/fvR0BAAPz9/ZtVedbktWTJEsTExBh0x9XUt29fdO/eHfPnz7+vOpFtMGAiogZTVVWF7du3IyIiAkOGDAEA7NmzBzNnzoSPjw90Oh0iIiLg4eGBPn364NtvvwVQvT5bdHQ0fH19cePGDYwfPx7u7u7o06cPduzYAQDYuHEjWrRoodyMioqKsGrVKoO0rVu34qeffsL169cxa9YspV6HDh2Cj4+PzZ467dmzB9999x1GjRplcruXlxdSUlJQXFyM4OBglJeX15lXYWEhYmNjsXDhQkRFRSEgIABRUVHQ6XRKWebaGwBKS0uxfPlyTJs2DQMHDsSIESPw448/NuyJ/8e7774LoHqdwCFDhqBt27YYMGAA9u3bZ/flWZpXYmIiJkyYoDw1rEtAQAA2btyIrKwsq+tCNmbrPsEHHTiGiexIQ1yPtceWXL16VVxcXASAxMfHy6VLl+T9998XAOLv7y+VlZWSmpoqbdq0EQAye/ZsOXLkiHzwwQfStm1bASBpaWkiItK9e3ejsRy102BiXMvu3bvFyclJ9u7de1/nJlK/MUyTJk0SlUol5eXlRttq1j0hIUEASHR0tMntRUVF4ufnJ4sXL1bS8vLyxM/PT7p16yY6nc5se+tNnz5dzp49q3wfOXKkeHp6SmFhoVXnVvtcTI0p6tq1qwCQlStXSm5urmRkZIiPj4+oVCr55ptv7Lo8S/JKT0+XVatWKcdoNJo6xxydPHlSAMjSpUstrgPHMNkH/gRsjAET2ZOGuh5r38geeeQRoz/4np6e4ujoqHz38/MTAHLnzh0lbfXq1QJAJk6cKCKmb0S10+q6iVZUVNzfSf1HfQKmrl27iqurq8lttc9nwoQJolKpZN++fUbbFy1aJAAkNzfX4Jht27YJAImJiRER8+197NgxZbB57U9qaqpV51b7XEy1fevWrcXb29sgTR/EhYaG2nV55vIqKCiQKVOmSFVVlbL9XgFTTk6OAJDRo0dbXAcGTPaBXXJE1OhMjelwc3PD3bt3le8tWlT/OXJyclLSAgMDAVS/in+/1Gr1fedRX9evX4ebm5tF+27atAkajQYRERHIyckx2JaWlgYAaNu2rUH6M888AwA4evQoAPPtffz4cWi1Wkj1P5oNPmPGjLHu5Czg5eVlNA7r2WefBQCjwdH2Vp65vGbNmoXQ0FCcO3cOmZmZyMzMVNo5MzPTqOvN1dUVAHDjxg2r6kG2x4CJiOxWp06dAJh/I8reqdVqVFZWWrSvi4sLduzYgZKSEoSGhhps0weV2dnZBumenp4AgPbt21tURkFBAbKyslBcXGy0raqqyqI8rNGzZ0/k5eUZpOnfNjM1CN6eyjOX1549ezBs2DBoNBrlox+4r9FoEBAQYHBsXQPCyf4xYCIiu1VQUAAAeO655wD8drMpKysDUP322e3btw2OUalUqKioMMrL0oClMXh7eyuDsmvSBye1gxSNRoPNmzfj0KFDBun6J0m1BxxfuXIFwG/tZI5Go0FxcTGWLVtmkH7mzBmsXbvWojysERISgtLSUnz//fdK2i+//AIAePzxx+26PHN5lZSUGD2l02g0AKqvz9pPR2/dugWg+skVNS8MmIioQf36668Aqt/m0istLTXar6ioCACMgpuagc2BAwcwYMAAzJw5EwCUG9GSJUtw4cIFrFmzRun++Oyzz1BVVYXu3bsjNzdXCSKA6gDD1dUVn376aUOcotWGDBmCoqIipW309E8uTHXPBAUFITIy0iAtJiYGWq0WiYmJuH79upK+bt06DB48GK+++ioA8+39wgsvoFu3bnjzzTcxdepUfPDBB4iLi8O8efPw8ssvAwBWrlyJ3r1745///KdF56ifqdxUYBoWFgatVosVK1YoaTt37oSXlxdee+01uy7PkrysoQ+2nnrqKauPJdtiwEREDaa4uBhvvfUWgOrlKxISErBs2TKlCyk+Ph6FhYVYs2aNskxEXFycwQ1+9erVKCgoQH5+PnJzc/Hll18q8xEtW7YM/v7+WLVqFV555RWMGTMGvXv3RlhYGHQ6HSoqKhAUFIR27drh+PHjSp6Ojo5o164dHB0dm6glDIWHh0NEkJ6erqTt3LkTU6dOBQDMmDEDX3/9tdFxy5cvN7ixtmnTBunp6QgJCcHkyZMRHR2N2NhYuLu74+DBg3BwcMD69evNtreI4ODBgwgMDMSuXbsQFRWFvLw8JCUlKeOjsrKycPbsWURHR5s9v8OHD2PevHkAqrsLV6xYgVOnTinb1Wo1vvrqK7Ru3RqTJ09GXFwcMjIycOLECWVMj72WZ0le1khLS4NarTaYoJSaB5WIiK0r8SBTqVRITk7mLw/ZBVtej7169cLZs2dh73+SgoKCAADbt2+36rgxY8bAz88PCQkJjVGtRnHu3DmEh4cjIyOD5TWQwMBAeHl5YcOGDRYfk5KSguDgYLv/3fi94xMmIqImsGXLFuzfv7/ZvB1VXFyMxMREvPPOOyyvgRw7dgznzp3DypUrm6xMajgMmIjILty5c8fgv783Dz30ED7++GNERkaafDvN3mRlZeGtt96CVqtleQ0gNzcX8fHxOHDggNG0ENQ8MGAim6j9ZhM9uO7cuYNFixYpg7TnzJnTpF0kTUmr1SI+Ph7r1q2zdVXM0mq1TXpj/z2XV1FRgW3btiEpKQldunRpkjKp4TFgovuyadMm/PGPf0Tbtm3Rr18/bNmypc597969i7feeguDBg2Cu7u71WWdPn0aL774Ijw8PNCxY0dMmjQJubm59a779u3b8fzzz6N///4ICAjACy+8gFdffRXLli2z6eKY92rTAwcOYPTo0VCpVFCpVBg2bBiGDRuGgQMH4oUXXsCmTZuUV+6bC2dnZ8THxyuvZG/atAlPPPGEravVaHx9fbn46gPGwcEBsbGxfLLU3DXxzOJUC5rx0igLFiyQ0NBQWbduncydO1dZCywxMbHOY0pKSqRDhw5WT/N/+vRpGTdunOzcuVNOnjwpYWFhAkCGDx9udb3z8/Pl2WeflR49esixY8eU9KqqKnn//ffF3d1dpk6danW+DcGSNr127ZoAEF9fXyWtqqpK9u7dK927d5eePXvKTz/9VK/ym/P12FTqszQK0f3g0ij2gT8BG2uuN6grV67In/70J4O0zz77TABIjx497nnsvdZZqsuaNWukuLhY+V5eXi6urq7i4uJiVT5VVVUyePBg6dChgxQUFJjc5/Dhw8raZU3JmjZFHWto5eTkiLe3t3Tv3l1KSkqsrkNzvR6bEgMmamoMmOwDu+SoXi5dumT0psfIkSPRsWNHo2UEGsKcOXPQpk0bg7SKigplHhtL7dixA2lpaViwYEGdSyQMGTJEeXW8KTVEm3p7e+Nvf/sbfv75Z76JQ0TUgBgwNTN37tzBkiVLEBYWhrlz52Lo0KFYs2aNsr2wsBCxsbFYuHAhoqKiEBAQgKioKGVZhj179mDmzJnw8fGBTqdDREQEPDw80KdPH3z77bcAgI8++gju7u5QqVSIi4tT8v6///s/qNVqbNy4EYMHD1bWr6qprKwMTz/9tPK9pKQEUVFRmDlzJuLi4vDnP/+5Qd6C+stf/oLVq1dj9erVStqhQ4fg4+ODI0eO1Hncjh07AADDhw+/Z/4vvfSS8v/21qbmjB8/Hmq1Gv/6178sPoaIiMyw9SOuBx2s6AIpLy+XoUOHSlhYmFRVVYmIyJYtWwSA7N27V4qKisTPz08WL16sHJOXlyd+fn7SrVs30el0cvXqVXFxcREAEh8fL5cuXZL3339fAIi/v79yXGJiogCQTz75REm7fPmyhISE1Fm/tLQ0adOmjXz33XciIlJRUSH+/v4yffp0ZZ+ff/5ZHBwc6v14eefOnfLMM88oY3jeeecdZdvu3bvFyclJ9u7dW+fxAwcOFABy+/Zti8qztzbVQx1dcnre3t7i7u5u0TnWzpddcvfGLjlqauySsw/8CdiYNTeoVatWCQDJzMxU0ioqKmTLli1y69YtWbRokQCQ3Nxcg+O2bdsmACQmJkZERB555BGjXz5PT09xdHRUvpeVlcnDDz8sgYGBSlpcXJycPHnSZN0qKipkyJAh8uGHHyppa9euFQBy5swZg339/Pzq/ct/69YtOX36tKxdu1acnJwEgGzdutWgHvfyxBNPmGyjuthbm+qZC5h8fHykU6dO5k/QRL788MOPfX7ItqoXaKJm4fDhwwBgMI+HWq1GREQEgOo1igAYvbqqX+H86NGjAH5b8b0mNzc3gxmIW7Zsiblz52L+/PnIysqCj48PMjMz0a9fP5N1++tf/4rhw4dj4sSJSpq+S6hr164G+7ZoUf+eYFdXV7i6uqJXr15o3749wsLCsG3bNkyePBlAdXvcy6OPPoqMjAycOXPGotXC7a1NLVFeXo4bN25YvHJ9bfPmzcOTTz5Zr2MfBPqlTWovjEvUWNLT0w2GH5BtMGBqRvQ33/Pnz+Oxxx4z2q4PRLKzs9G7d28lXT8upn379laVN23aNCxevBhr167Fk08+ifHjx5vcLzU1Fc7OzoiNjTVI1y/2WVBQgM6dO1tVtiVeeOEFAECrVq0sPmbIkCHYvHkzMjIy8Oyzz5rd397a1BIHDx5EWVmZ2XFadXnyySe5tuE96NeQYxtRU2LAZHsc9N2M6IMk/SR/epcuXcInn3yiPPXYt2+fwXH6GZStfeLQrl07TJs2DZs3b0ZycjLGjRtntM/nn3+Oq1evGt3Y09PTodFoTNanoegnrRw9erSSVllZec9jQkNDMWDAAKxZs6bOSS/v3r2Lbdu2AYDdtak5ZWVl+POf/4w//vGPmDNnjlV1IyKiujFgakYWLFgAZ2dnbN++Hc899xzWr1+Pv/zlL1i6dClGjRqFmJgYaLVaJCYm4vr168px69atw+DBg/Hqq68CAEpLS43yLioqAlD9qn5Nc+bMwa+//oo//vGPcHAwfCD5xRdf4H//939RWVmJdevWYd26dVi7di1ee+017N+/H/Pnz4eDgwP+/Oc/47PPPkNJSQkOHTqEnJwcANVPbSyVkJCAzZs3K0uq3L17F7GxsQgODlbOa9++fXB1dcWnn35aZz4tWrTA+++/j9atW+Opp57Czp07lSBLX78xY8bgkUceAQC7a1N9PU2VefLkSYwYMQK3bt1CUlKSUd5ERFR//IvajPj6+iIjIwPR0dH45ptvkJmZiaCgICxfvhwqlQpt2rRBeno6/va3v2Hy5Mno06cP1Go13N3dcfDgQTg4OGD9+vVKoBIfH4/Zs2djy5YtSvdZXFwc3njjDbRu3RpA9fij2bNnY9asWQZ1SU9PR2BgIIqLi3Hw4EGDbSqVChcuXEC3bt1w8OBBLFy4EEFBQejYsSNmzJiBfv364dFHH0VWVhYefvhhi8Y0FRYWYv369YiOjsbEiRPRqlUrvPrqqwbdTo6OjmjXrh0cHR3vmZdGo8GPP/6I9evXY9OmTYiKioKzszMcHBwwZswYpKSkKHM02VubpqWlKUulZGdn49lnn4WjoyMcHR3RsmVLBAcHY/LkyXB2djbbpkREZDmV1OzboSanUqmQnJzM8RBkF3g9mqef1FQ/lomosaWkpCA4OBi8XdsWu+TIpvSLyN7rk5mZaetqEhHRA45dcmRT/BcT0YPn4sWL2Lt3L+7evYtx48ahR48ezaa8pq472Q8+YSIiakLnz5/HypUrkZKSgn79+kGlUkGr1SqD+fW++OILjBo1CiqVCgMHDkRKSoqNamxeTk4OtmzZguDgYAwaNKjO/YqKijB79myMGDECffv2xfz58+sVcDR1edbmlZiYaDA3W2VlJRYsWKCMa6RmyqbTZpIAXIqC7Ictr8crV640i7zvZ2mUw4cPS0hIiJSVlYmIyO3bt5VZnGfMmGG0f3Z2tgCGs/vbq8uXLwtQ9wz0eXl50r9/f/Hz85P8/PxmVZ41eR0/flxZhaCmmzdvyksvvSRZWVlWl8+lUewDnzARkc1lZ2cjJCSk2eVtjTNnziA8PByJiYlo2bIlgOp5uYDq+b42bNhg9BRJP+Grr69v01a2Hnx8fO65PSIiAqdOncK2bdvg4eHRrMqzNC+dToddu3aZrJubmxveeOMNBAYGNsgC5NT0GDARkU1du3YNY8eORX5+frPK2xoigtDQULz88svKlBU1JScnw9vbG9OnT8fFixeVdP1cWvoAq7lKTU3F/v37ERAQAH9//2ZVnjV5LVmyBDExMSaXSgKAvn37onv37pg/f/591YlsgwETEdVbYWEhYmNjsXDhQkRFRSEgIABRUVHQ6XQAgI0bN6JFixbKDaSoqAirVq0ySNu6dSt++uknXL9+XZmbSj/fmK+vL27cuIHx48fD3d0dffr0wY4dO+4rbwA4dOgQfHx8cOTIkSZppz179uC7777DqFGjTG738vJCSkoKiouLERwcjPLy8jrzMtfme/bswcyZM+Hj4wOdToeIiAh4eHigT58++Pbbb5V8SktLsXz5ckybNg0DBw7EiBEj8OOPPzbsif/Hu+++CwB4+OGHMWTIELRt2xYDBgxotFUAGrI8S/NKTEzEhAkTlKeGdQkICMDGjRuRlZVldV3IxmzdJ1Doj0EAACAASURBVPigA8cwkR2x5nosKioSPz8/Wbx4sZKWl5cnfn5+0q1bN9HpdCIi0r17d6PxF7XTUGMsSmVlpaSmpkqbNm0EgMyePVuOHDkiH3zwgbRt21YASFpaWr3y1tu9e7c4OTnJ3r17LTrXmuozhmnSpEmiUqmkvLzcaFvNuiYkJAgAiY6ONrndkja/evWquLi4CACJj4+XS5cuyfvvvy8AxN/fXzlu+vTpcvbsWeX7yJEjxdPTUwoLC606t9rnYmpMUdeuXQWArFy5UnJzcyUjI0N8fHxEpVLJN998Y9flWZJXenq6rFq1SjlGo9HUOebo5MmTAkCWLl1qcR04hsk+8CdgYwyYyJ5Ycz0uWrRIAEhubq5B+rZt2wSAxMTEiIjpm0ftNFM3Pj8/PwEgd+7cUdJWr14tAGTixIn3lbeISEVFhUXnWVt9AqauXbuKq6uryW216z9hwgRRqVSyb98+o+2WtvkjjzxilK+np6c4OjqKiMixY8eUwea1P6mpqVadW+1zMdXWrVu3Fm9vb4M0fRAXGhpq1+WZy6ugoECmTJkiVVVVyvZ7BUw5OTkCQEaPHm1xHRgw2Qd2yRFRvaSlpQEA2rZta5CuX7D46NGj95W/fskcJycnJS0wMBBA9av590utVt93Hpa6fv063NzcLNp306ZN0Gg0iIiIUNZd1LO0zU2NoXFzc8Pdu3cBAMePH4dWq4VU/6PZ4DNmzBjrTs4CXl5eRuOwnn32WQBolIlpG7I8c3nNmjULoaGhOHfuHDIzM5GZmam0c2ZmplHXm6urKwDgxo0bVtWDbI8BExHViz6gqb2IsqenJwCgffv2DV5mp06dAJh/Q8reqNVqZZFnc1xcXLBjxw6UlJQgNDTUYFtDtXlBQQGysrJQXFxstK2qqsqiPKzRs2dP5OXlGaTp3zYzNQjensozl9eePXswbNgwaDQa5aMfuK/RaBAQEGBwbF0Dwsn+MWAionrRP9WoPfj1ypUrAIDnnnsOwG83iLKyMgDVb4zdvn3b4BiVSoWKigqzZRYUFDRY3pYGMA3B29tbGZRdkz44qR2kaDQabN68GYcOHTJIt7TNzdFoNCguLsayZcsM0s+cOYO1a9dalIc1QkJCUFpaiu+//15J++WXXwAAjz/+uF2XZy6vkpISo6d0Go0GQPX1WPtp6K1btwBUP7miZsY2PYGkB45hIjtizfVYXFwsWq1WunTpYjCmZu7cuTJ48GBlgPO4ceMEgMTFxcn58+clISFBOnToIADk008/lcrKSunRo4c4OzvL5cuXlXz040BqjjV69913ZcCAAfedd2pqqri4uMgnn3xidRvVZwzT1KlTRaVSSVFRkUF6bm6uAJCcnByTx0VGRhqMXbG0zfUDlWvq3LmzAJDy8nIpLS2Vbt26CQCZMmWKJCUlyeuvvy4jR45UBn2//fbb8uijj8qHH35o0TkWFxcLAOnZs6fRtoqKCtFqtRISEqKkrV27Vry8vOTWrVt2XZ4ledV2rzFMP/zwAwd9N1N8wkRE9dKmTRukp6cjJCQEkydPRnR0NGJjY+Hu7o6DBw8qcwgtW7YM/v7+WLVqFV555RWMGTMGvXv3RlhYGHQ6HSoqKhAUFIR27drh+PHjRuWsXr0aBQUFyM/PR25uLr788sv7ztvR0RHt2rWDo6Njk7RVeHg4RATp6elK2s6dOzF16lQAwIwZM/D1118bHbd8+XI89dRTyndL2nz9+vVKl118fDwKCwuxZs0aZVmOuLg4iAgOHjyIwMBA7Nq1C1FRUcjLy0NSUpIyPiorKwtnz55FdHS02fM7fPgw5s2bB6C6u3DFihU4deqUsl2tVuOrr75C69atMXnyZMTFxSEjIwMnTpxQxvTYa3mW5GWNtLQ0qNVqTJgwwepjybZUIlz91JZUKhWSk5P5y0N2wZ6ux169euHs2bN2t0BzUFAQAGD79u1WHTdmzBj4+fkhISGhMarVKM6dO4fw8HBkZGSwvAYSGBgILy8vbNiwweJjUlJSEBwcbHe/Cw8aPmEiImoCW7Zswf79+5vN21HFxcVITEzEO++8w/IayLFjx3Du3DmsXLmyycqkhsOAiYjskn69rd/LulsPPfQQPv74Y0RGRpp8O83eZGVl4a233oJWq2V5DSA3Nxfx8fE4cOCA0bQQ1DwwYCIiu3Lnzh0sWrRIefNrzpw5Tdpl0pi0Wi3i4+Oxbt06W1fFLK1W26Q39t9zeRUVFdi2bRuSkpLQpUuXJimTGp6DrStARFSTs7Mz4uPjER8fb+uqNApfX18uvvqAcXBwQGxsrK2rQfeJT5iIiIiIzGDARERERGQGAyYiIiIiMxgwEREREZnBQd92oObsv0S2xuvx3q5evQqgejJBoqbA30n7wJm+bYwrVxMRkSV4u7YtPmGyMf4CEBnSL8vCJzhEZE84homIiIjIDAZMRERERGYwYCIiIiIygwETERERkRkMmIiIiIjMYMBEREREZAYDJiIiIiIzGDARERERmcGAiYiIiMgMBkxEREREZjBgIiIiIjKDARMRERGRGQyYiIiIiMxgwERERERkBgMmIiIiIjMYMBERERGZwYCJiIiIyAwGTERERERmMGAiIiIiMoMBExEREZEZDJiIiIiIzGDARERERGQGAyYiIiIiMxgwEREREZnBgImIiIjIDAZMRERERGYwYCIiIiIygwETERERkRkMmIiIiIjMYMBEREREZAYDJiIiIiIzGDARERERmcGAiYiIiMgMlYiIrStBRA+mpKQkbNq0CVVVVUraxYsXAQC+vr5KWosWLTB16lT86U9/avI6EhEBDJiIyIZ++OEHPPbYYxbte+rUKfTt27eRa0REZBoDJiKyKY1Gg8zMzHvu06NHD5w/f76JakREZIxjmIjIpsLCwtCyZcs6t7ds2RIvv/xyE9aIiMgYnzARkU1lZWWhR48euNefovPnz6NHjx5NWCsiIkN8wkRENtWtWzf0798fKpXKaJtKpcL/+3//j8ESEdkcAyYisrnw8HCo1WqjdLVajfDwcBvUiIjIELvkiMjm8vLy4O3tbTC9AFA9nUBOTg48PT1tVDMiomp8wkRENvfQQw9hyJAhBk+Z1Go1hg4dymCJiOwCAyYisgthYWFGA7/DwsJsVBsiIkPskiMiu1BYWIiOHTuirKwMQPV0Anl5eXB1dbVxzYiI+ISJiOxEu3btMGrUKDg4OMDBwQGjR49msEREdoMBExHZjdDQUFRWVqKyspLrxhGRXWGXHBHZjdLSUnh4eEBE8Msvv6BNmza2rhIREQATAVNKSgqCg4NtVR8iIiIim0pOTsaECRMM0hzutTMRUVP7/vvvoVKp8Nhjj9m6Ko0qISEBABAZGWnjmtiv9PR0rF69mvcjalJ1PTSqM2CqHVkRETWFl156CQDg4FDnn6ffhe3btwPg31pzVq9ezTaiJmV1wEREZAu/90CJiJonviVHREREZAYDJiIiIiIzGDARERERmcGAiYiIiMgMjq4kIiL6nbp48SL27t2Lu3fvYty4cejRo0ezKa+p624OnzARETVjTzzxBGJiYmxdDbt0/vx5rFy5EikpKejXrx9UKhW0Wi1KSkoM9vviiy8watQoqFQqDBw4ECkpKTaqsXk5OTnYsmULgoODMWjQoDr3KyoqwuzZszFixAj07dsX8+fPr1fA0dTlWZtXYmIiVCqV8r2yshILFizAtWvX6lX2PUktycnJYiKZiIga0Pjx42X8+PH3nc/EiRMlLi6uAWpUP1euXGm0vO/nfnT48GEJCQmRsrIyERG5ffu2ABAAMmPGDKP9s7OzBYBkZmbeV52bwuXLlwWAaDQak9vz8vKkf//+4ufnJ/n5+c2qPGvyOn78uDg5ORldIzdv3pSXXnpJsrKy6lUHAJKcnGyUzi45IqJm7MMPP7RZ2dnZ2QgPD8eRI0dsVgdTzpw5g/DwcJw8eRItW7YEALRr1w4A8Mwzz2DDhg0YPny4wYSYnTt3BgD4+vo2fYWt5OPjc8/tEREROHXqFNLS0uDh4dGsyrM0L51Oh127dsHHxweZmZkG29zc3PDGG28gMDAQGRkZcHZ2vq866bFLjoiIrHbt2jWMHTsW+fn5tq6KARFBaGgoXn75ZXTo0MFoe3JyMry9vTF9+nRcvHhRSddPmKoPsJqr1NRU7N+/HwEBAfD3929W5VmT15IlSxATE2PQHVdT37590b17d8yfP/++6lQTAyYiomaoqqoK27dvR0REBIYMGQIA2LNnD2bOnAkfHx/odDpERETAw8MDffr0wbfffgsAyMjIQHR0NHx9fXHjxg2MHz8e7u7u6NOnD3bs2AEA2LhxI1q0aKHcjIqKirBq1SqDtK1bt+Knn37C9evXMWvWLKVehw4dgo+Pj82eOu3ZswffffcdRo0aZXK7l5cXUlJSUFxcjODgYJSXl9eZV2FhIWJjY7Fw4UJERUUhICAAUVFR0Ol0Slnm2hsASktLsXz5ckybNg0DBw7EiBEj8OOPPzbsif/Hu+++CwB4+OGHMWTIELRt2xYDBgzAvn377L48S/NKTEzEhAkTlKeGdQkICMDGjRuRlZVldV1Mqt1HxzFMRESNryHGMNUeW3L16lVxcXERABIfHy+XLl2S999/XwCIv7+/VFZWSmpqqrRp00YAyOzZs+XIkSPywQcfSNu2bQWApKWliYhI9+7dje4FtdNgYlzL7t27xcnJSfbu3Xtf5yZSv/vRpEmTRKVSSXl5udG2mnklJCQIAImOjja5vaioSPz8/GTx4sVKWl5envj5+Um3bt1Ep9OZbW+96dOny9mzZ5XvI0eOFE9PTyksLLTq3Gqfi6kxRV27dhUAsnLlSsnNzZWMjAzx8fERlUol33zzjV2XZ0le6enpsmrVKuUYjUZT5zVy8uRJASBLly61qh6oYwwTAyYiIhtoqEHftW9kjzzyiNHfcE9PT3F0dFS++/n5CQC5c+eOkrZ69WoBIBMnThQR0zei2ml13UQrKiru76T+oz73o65du4qrq6vJbbXzmjBhgqhUKtm3b5/R9kWLFgkAyc3NNThm27ZtAkBiYmJExHx7Hzt2TBlsXvuTmppq1bnVPhdTbd+6dWvx9vY2SNMHcaGhoXZdnrm8CgoKZMqUKVJVVaVsv1fAlJOTIwBk9OjRVtWjroCJXXJERL8jpsZ0uLm54e7du8r3Fi2q//Q7OTkpaYGBgQCqX8W/X2q1+r7zqK/r16/Dzc3Non03bdoEjUaDiIgI5OTkGGxLS0sDALRt29Yg/ZlnngEAHD16FID59j5+/Di0Wi2k+gGFwWfMmDHWnZwFvLy8jMZhPfvsswBgNDja3sozl9esWbMQGhqKc+fOITMzE5mZmUo7Z2ZmGnW9ubq6AgBu3LhhVT3qwoCJiIjQqVMnAObfiLJ3arUalZWVFu3r4uKCHTt2oKSkBKGhoQbb9EFldna2QbqnpycAoH379haVUVBQgKysLBQXFxttq6qqsigPa/Ts2RN5eXkGafq3zUwNgren8szltWfPHgwbNgwajUb56AfuazQaBAQEGBxb14Dw+mLAREREKCgoAAA899xzAH672ZSVlQGofvvs9u3bBseoVCpUVFQY5WVpwNIYvL29lUHZNemDk9pBikajwebNm3Ho0CGDdP2TpNoDjq9cuQLgt3YyR6PRoLi4GMuWLTNIP3PmDNauXWtRHtYICQlBaWkpvv/+eyXtl19+AQA8/vjjdl2eubxKSkqMntJpNBoA1ddn7aejt27dAlD95KohMGAiImqmfv31VwDVb3PplZaWGu1XVFQEAEbBTc3A5sCBAxgwYABmzpwJAMqNaMmSJbhw4QLWrFmjdH989tlnqKqqQvfu3ZGbm6sEEUB1gOHq6opPP/20IU7RakOGDEFRUZHSNnr6JxemumeCgoIQGRlpkBYTEwOtVovExERcv35dSV+3bh0GDx6MV199FYD59n7hhRfQrVs3vPnmm5g6dSo++OADxMXFYd68eXj55ZcBACtXrkTv3r3xz3/+06Jz1M9UbiowDQsLg1arxYoVK5S0nTt3wsvLC6+99ppdl2dJXtbQB1tPPfWU1ceawoCJiKgZKi4uxltvvQWgevmKhIQELFu2TOlCio+PR2FhIdasWaMsExEXF2dwg1+9ejUKCgqQn5+P3NxcfPnll8p8RMuWLYO/vz9WrVqFV155BWPGjEHv3r0RFhYGnU6HiooKBAUFoV27djh+/LiSp6OjI9q1awdHR8cmaglD4eHhEBGkp6craTt37sTUqVMBADNmzMDXX39tdNzy5csNbqxt2rRBeno6QkJCMHnyZERHRyM2Nhbu7u44ePAgHBwcsH79erPtLSI4ePAgAgMDsWvXLkRFRSEvLw9JSUnK+KisrCycPXsW0dHRZs/v8OHDmDdvHoDq7sIVK1bg1KlTyna1Wo2vvvoKrVu3xuTJkxEXF4eMjAycOHFCGdNjr+VZkpc10tLSoFarDSYovR+q/4wIV6SkpCA4OBi1komIqAEFBQUBALZv397kZffq1Qtnz561+7/z9b0fjRkzBn5+fkhISGikmjW8c+fOITw8HBkZGSyvgQQGBsLLywsbNmyw6jiVSoXk5GSjQItPmIiI6Hdly5Yt2L9/f4O9HdXYiouLkZiYiHfeeYflNZBjx47h3LlzWLlyZYPl2WABU80+9KZkq3LtRV5eHrZv3648mqfm7UG6nnnt2s6dO3cM/vt789BDD+Hjjz9GZGSkybfT7E1WVhbeeustaLValtcAcnNzER8fjwMHDhhNC3E/7itgqqysxLJly/D000/D3d29oepkkbfffhtDhgxp8nLtydmzZ/Hmm29iwoQJeO+99wy2PfHEE4iJiWn0OjRVOXU5ffo0XnzxRXh4eKBjx46YNGkScnNzrcpj7ty58PDwgEqlQsuWLfH8889j1KhRGDhwIEaNGoWPPvqokWr/G0uu55SUFPTr1w8qlQparVYZiKn3xRdfYNSoUVCpVBg4cCBSUlIau9r1xmvXNu7cuYNFixYpg7TnzJnTpF0kTUmr1SI+Ph7r1q2zdVXM0mq1DXpjf5DLq6iowLZt25CUlIQuXbo0bOa1Z7K0dmbVkpIS6dChQ4PMDn7lyhWL9y0tLRV3d/cHflby0tJSkzOwTpw4UeLi4hq0LFM/n8Yox1KnT5+WcePGyc6dO+XkyZMSFhYmAGT48OFW55WbmysAxM/PT0m7e/euzJs3TwDI22+/bXWejXE93759W5kleMaMGUbbs7OzBYBkZmZaXd+m9iBfuyINN9P37xlXniBbQGMujXKvqcktdfHiRXn66aebvNzfA1M3nYZWn59PY1uzZo0UFxcr38vLy8XV1VVcXFzqlZ+pdiwvL5c2bdpIt27drMqrMa9nAPLMM8+Y/KUuLy8XAFJWVmZV2bbyoF67IgyYLMGAiWyhroDJoWGfV9XPtWvXMHbsWJtOdkZ1s9efz5w5c4zSKioqlNeHG4KDgwPatm1r1diipmiv5ORk9O/fH9OnT8fAgQPh6+sLAMor4bWXF3hQ2eu1S0TNT4O+JXfhwgUEBgaiQ4cOePzxx3H48GFl2/nz5xEUFIQFCxYgPDwczzzzDP79738DALZu3YqffvoJ169fx6xZs5Rj7ty5gyVLliAsLAxz587F0KFDsWbNGqNy8/PzMX78eLi7u0Or1eLEiRMW13nPnj2YOXMmfHx8oNPpEBERAQ8PD/Tp0wfffvutsl9hYSFiY2OxcOFCREVFISAgAFFRUdDpdKiqqsKXX36JyMhI+Pr6IicnB0OHDsUf/vAH5OTkICkpCSEhIRg8eDAyMjLQv39/dO3aFWlpaTh37hzGjRuHjh07olevXgZlmms3U6qqqrB9+3ZERERgyJAhSnqHDh0wceJEREZGIjIyEl5eXlCr1cr8Kdb+fOoq517tZE1718df/vIXrF69GqtXr1bSDh06BB8fHxw5cqReeX700UfIy8vDlClTDNJtfT17eXkhJSUFxcXFCA4ORnl5eZ3nwGvX/q9dImoGaj9yup8uuXnz5snnn38u//jHP8TZ2VnUarX88MMPIiLSs2dP6d69u4j81nWi1WoNHoHVfDRfXl4uQ4cOlbCwMGVl4i1btggA2bt3r0G5b7zxhmRnZ8u+ffsEgDz55JMW1/3q1avi4uIiACQ+Pl4uXbqkrI7s7+8vIiJFRUXi5+cnixcvVo7Ly8sTPz8/6datm+Tl5cnRo0fFyclJAMjSpUvlwIEDMm3aNCkqKpILFy4IAGnfvr3s27dPTp8+LQCka9eusmLFCrl9+7acPHlSAMjQoUMN6meu3Uy13eXLlw3SKioqDOr+6aefCgCJjY21uJzaZZgqx1w76XQ6i9rbWjt37lS6qHx9feWdd95Rtu3evVucnJyUa+Ze9D+jiIgICQ0NlUGDBombm5ts2LDBYHVsEdtezzV/PxMSEgSAREdHm9zOa9d+r112yZnHLjmyBdTRJdcgE1fqJ0ErLCxURsL//e9/x9y5czF58mRs3boVCQkJ8Pb2xsSJEyEi6NmzJy5fvqysU6RSqaDRaHDmzBkAQEJCAl577TVkZmbCz88PQPVbee+99x5efPFFuLq6KuVWVVUp6x55eHigpKTEqtdlNRoNMjMzDc7Zy8sLOp0OpaWleP311xEfH4/c3FyDNWnee+89hIeHIyYmBsuWLVPyuXnzptFq2bXPr0uXLrh27ZpBmZ6enigrK1PWv9G3w73azVTeptJKS0vRunVr6HQ6aLVadOjQASdOnECrVq0sKsdUGbXTrW2nutrbWjqdDrm5uTh48CBiYmJQXFyMrVu3YvLkyQCqrxtLVk///+zde3hM1/4/8PeIawiJWxJERYjRDtV6NCotqoiDRvWQkEYaFIeWIgRVbY8jFI3LL+L0oarVciTqHtoqotqQ0GqdU5cEEbdEEiFEErl+fn/kO7smt5lJJplJvF/PM48na++91tpr9uz9sffaa6lUKnTq1AlHjhxBVlYWbty4gd27d2Pz5s145513sGLFCmVCTnMezyqVSqftvL29sWPHDkRERGDo0KE6y3nsWu6xO3r0aNy8ebPElBz0l5MnT2LNmjUICwszd1XoCeLt7V3qwJUm7cP0+GuDr7/+Ot577z2cP38eADBr1ixkZmZi/fr1uHv3LnJycsp9jKB9nPf4a4FWVlbw9/cvse7jMxK3atUKFy9eNKrepc1obGdnpwx6FhUVBQAlXovUTs544sQJnXyKX3BKU9orls2bNy9Rd2PbrSwNGzYEUNTvJzU1FQcOHFAuOKYqx9h2etzj7W0sW1tbJeBo1qwZxo0bhy1btigBkyHBklbdunXRvn17AEWB9KBBg/D0009j+vTpaNWqFebNmwfAso7nTZs24X//+x/8/f11Jq0EeOwaylzHbnR0NLy9vSu07ZOEbUSWoMpG+ra3twcA5eJz+vRpdOvWDR07dsQHH3yAJk2alLu99gRUfPZhc9DeVdDOGaSl3cdmzZpVWdnGtlt59uzZg6+//hr//Oc/8eyzz5q8HHO2k9aIESMAQOeCWlnaKSz27t2rpFnS8dykSRPs2rUL2dnZ8PX11VnGY9cw5mqnUaNGlZh9nZ+/Pto7S+auBz9P1qfM80SVnAUAZWC04cOHAyiaEDEvLw9DhgwBUNTx8nEqlUpnJm3tSTEoKEhnB65du4bvvvuuqqpdKu3/Mg8cOKCTrt3HgQMHVlnZ+trNUHfu3MGUKVPw4osvYu7cuUq6dhJFY7+f0piznbS0g1YOHTpUSavsG1LaYMfR0VFJM9fxrC2neHlqtRpffPEFIiMjddJ57NacY5eILJwUU5FOdl27dhUAcvfuXSVt2rRpMmLECOXvZs2aiUqlkkOHDsnWrVuldevWAkBiYmLkxo0b0qlTJ2ncuLFcv35dRETi4+OlcePGAkAGDBggoaGhsmjRIpkyZYrSabZNmzYCQB48eKCU4+joKADk4cOHBte/Q4cOJfa5bdu2AkDy8vIkKytLNBqNtGvXTpKSkpR13nvvPXF3d5e8vDydfIqXnZ2dLQCkS5cuSpqLi4sAkIyMjBL1KCgoMLjdsrKylE64WhkZGQJA2rRpo6T9/e9/l8aNG8ulS5eUtLt378r8+fMNKqf491NaOca2U1ntbahVq1bJpk2bJD09XUSKBkJ8/fXXxdvbWzlGIiIipEmTJvLdd9+Vm5f2O2rfvr1OenJysvTp00fq168vp06dUtLNdTxrB9hMTEwsdT9mzZql07Y8di3z2BVhp29DsNM3mQPK6PRt9fHHH3/8eAB17tw5fPvttyiWXK4uXbogPT0dX3/9NU6ePInDhw+ja9euWLlypfLMv2nTpvjll1/w3//+F2+++SY6duyImJgYXL9+HaNGjcL9+/dx4cIF9OjRA127doWdnR08PT0RHx+P3377DdHR0ejUqROWLl2KBg0aIDg4GLt27QIAZGdn4+WXX8batWuxe/duAEBOTg769++vt//K+vXrsW3bNgBFY9f06NEDn332mTKDeF5eHvr3748JEybg3r17+Oyzz3D27FkcOXIEtra22LhxI/Ly8vDJJ58oZd+5cwdOTk5wcHBASkoKFi9ejJMnT+Lhw4d48cUXcfnyZaxfvx6FhYXIzMyEm5sbNm3ahO3btwMoesSiVqthbW1dbrv17NkTwcHBiImJQXp6Ouzs7NC+fXsEBwfjl19+QUZGBpo1a4bY2FgsW7YMXbp0QVpaGn744Qd8++23+OCDD9C/f3+8+OKLRn8/WVlZCAoK0imnR48eePvtt8tsp3r16hnU3i+99JIynlB5Dh06hPXr12PZsmW4du0aIiMjMW7cOAQGBirH3fXr1/Hdd9/By8tLGauouF27dmHx4sU4f/487t+/j++//x47d+7Ev//9b3z22WdQq9XYunUrevTooWxjjuP53r17+Ne//oVLc+wY0AAAIABJREFUly4hNjYW7du3Vx55a7366quIjIxUhkGoV68e/Pz8eOxa2LELQNmueMdS+ktFrkdElfXPf/4To0ePxjPPPKOTbpK35IiIyDjavnHawIlK4vWIzEGlUpX6llyV9WGyBCqVSu8nNjbW3NWkYvi9ERGRpbGIqVGqCv9XUjPxeyMiIktTqwMmIiKiJ9nVq1exf/9+5OTkYOTIkejUqVONKa+6665PrX4kR0RET65Lly4hODgY4eHh6NGjB1QqFTQaDbKzs3XWO3LkCIYMGQKVSoVevXohPDzcTDXWLzExEZs3b4a3tzf69OlT5noZGRmYPn06Bg0ahO7du2Pu3LkVCjiquzxj8woJCdEZULagoADz58/HrVu3KlR2uYq/NsfXOImIqp65hxW4ceOGxeddmevRsWPHxMfHR3Jzc0VE5P79+wJAAMjkyZNLrJ+QkCAAJDY2tlJ1rg7F50IsLiUlRZ5//nlxdXWV1NTUGlWeMXmdPn1amQfzcXfv3pU33nhD4uPjK1QHlDGsAO8wERE9YRISEuDj41Pj8jbUhQsX4Ofnh5CQENSrVw9A0VAgQNEgpRs2bChxF6lt27YAUObwI5bEycmp3OX+/v44e/YstmzZgpYtW9ao8gzNKz09HXv27Cm1bnZ2dvjoo4/g6elp1Lyy+jBgIiJ6gty6dQvDhw9HampqjcrbUCICX19fjB8/Hs2bNy+xPCwsDI6Ojpg0aRKuXr2qpGvHz9IGWDVVREQEDh48CA8PD7i5udWo8ozJa8mSJTpj7hXXvXt3uLi46MwOUFkMmIiIaogHDx5g3rx5WLBgAQICAuDh4YGAgACkp6cDADZu3Ig6deooF5GMjAysWrVKJ+3LL7/EuXPncPv2bUydOhVA0STAc+bMgbOzM5KTkzFq1Ci0aNEC3bp1UwZUrWjeABAZGQknJyccP368ytto3759OHPmjDJVTnEODg4IDw9HVlYWvL29y52oWV9779u3D1OmTIGTkxPS09Ph7++Pli1bolu3bvjtt9+UfB49eoQVK1bg7bffRq9evTBo0CD8+eefpt3x//PVV18BKJrHtV+/frCxsUHPnj1LTPtjieUZmldISAi8vLyUu4Zl8fDwwMaNGxEfH290XUpV/Bkd+zAREVU9Y/swZWRkiKurq3z88cdKWkpKiri6ukrHjh2VKYK0U9c8rngaHuuPUlBQIBEREdKoUSMBINOnT5fjx4/Ltm3bxMbGRgBIVFRUhfLW2rt3r1hbW8v+/fsN3l+Ril2Pxo4dKyqVqtSpah7Pa/Xq1QJA5syZU+pyQ9r75s2b0qRJEwEgQUFBcu3aNfnmm28EgLi5uSnbTZo0SS5evKj8PXjwYLG3t9eZBslYpbWzyF/T9wQHB0tSUpJER0eLk5OTqFQqnemdLLE8Q/I6efKkrFq1StlGrVaXeYz8/vvvAkCWLVtmVD1QRh8mBkxERGZgbMC0cOFCAaAz152IyJYtWwSABAYGikjpF5DiaaVd/FxdXQWAZGZmKmlr1qwRADJmzJhK5S0ikp+fb/C+alXketShQwextbUtdVnxvLy8vESlUsmBAwdKLDe0vbt06VIiX3t7e2nQoIGIiMTExCidzYt/IiIijNq34vtSWjs3bNhQHB0dddK0QZyvr69Fl6cvr7S0NJkwYYIy/6ZI+QFTYmKiAJChQ4caVY+yAiY+kiMiqgGioqIAADY2Njrpffv2BQCcOHGiUvnXqVN0ObC2tlbSPD09ARS9nl9Z+ub1NJXbt2/Dzs7OoHU3bdoEtVoNf39/JCYm6iwztL1L60NjZ2eHnJwcAMDp06eh0WggRTcodD7Dhg0zbucM4ODgUKIf1iuvvAIAVTJDginL05fX1KlT4evri7i4OMTGxiI2NlZp59jY2BKP3mxtbQEAycnJRtWjLAyYiIhqAG1Ak5CQoJNub28PAGjWrJnJy2zTpg0A/W9JWRIrKysUFBQYtG6TJk2wa9cuZGdnw9fXV2eZqdo7LS0N8fHxyMrKKrGssLDQoDyM0blzZ6SkpOikad82K60TvCWVpy+vffv2YcCAAVCr1cpH23FfrVbDw8NDZ9uyOoRXFAMmIqIaQHtno3gH2Bs3bgAABg4cCOCvi0Rubi6AorfG7t+/r7ONSqVCfn6+3jLT0tJMlrehQUxlOTo6Kp2yH6cNTooHKWq1Gl988QUiIyN10g1tb33UajWysrKwfPlynfQLFy5g3bp1BuVhDB8fHzx69Ah//PGHknbnzh0AwAsvvGDR5enLKzs7u8RdOrVaDaDoWCx+J/TevXsAiu5cmUTxZ3Tsw0REVPWM7cOUlZUlGo1G2rVrp9Ov5r333hN3d3elk/PIkSMFgCxatEguXbokq1evlubNmwsA+f7776WgoEA6deokjRs3luvXryv5aPuCPN7X6KuvvpKePXtWOu+IiAhp0qSJfPfdd0a1UUWuRxMnThSVSiUZGRk66UlJSQJAEhMTS91u1qxZOmUZ2t7ajsqPa9u2rQCQvLw8efTokXTs2FEAyIQJE2Tr1q3ywQcfyODBg5VO359++qk8/fTT8p///MegfczKyhIA0rlz5xLL8vPzRaPRiI+Pj5K2bt06cXBwkHv37ll0eYbkVVx5fZj++9//mrTTN+8wERHVAI0aNcLJkyfh4+ODt956C3PmzMG8efPQokULHD16VBlHaPny5XBzc8OqVavwzjvvYNiwYXjmmWcwbtw4pKenIz8/H6NHj0bTpk1x+vTpEuWsWbMGaWlpSE1NRVJSEn766adK592gQQM0bdoUDRo0qPJ28vPzg4jg5MmTStru3bsxceJEAMDkyZPxyy+/lNhuxYoVeOmll5S/DWnv9evXK4/sgoKC8ODBA6xdu1aZlmPRokUQERw9ehSenp7Ys2cPAgICkJKSgq1btyr9o+Lj43Hx4kXMmTNH7/4dO3YMM2fOBFD0uHDlypU4e/asstzKygo///wzGjZsiLfeeguLFi1CdHQ0fv31V6VPj6WWZ0hexoiKioKVlRW8vLyM3rY0qv+LphTh4eHw9vbmjPFERFVo9OjRAIAdO3aYuSZFunbtiosXL1rUub+i16Nhw4bB1dUVq1evrqKamV5cXBz8/PwQHR3N8kzE09MTDg4O2LBhg1HbqVQqhIWFlQi0eIeJiIhqlc2bN+PgwYMmezuqqmVlZSEkJASff/45yzORmJgYxMXFITg42GR5MmAiIiJlzi1Tzr1lLq1bt8bOnTsxa9asUt9OszTx8fFYunQpNBoNyzOBpKQkBAUF4fDhwyWGhagMBkxERE+wzMxMLFy4UHn7a8aMGdX62KSqaDQaBAUFITQ01NxV0Uuj0Zj0wv4kl5efn48tW7Zg69ataNeunUnzrmvS3IiIqEZp3LgxgoKCEBQUZO6qmJyzs7NJJ18ly1e3bl3MmzevSvLmHSYiIiIiPRgwEREREenBgImIiIhIDwZMRERERHqU2elbO6gaERGZnvZNNJ5ry3bz5k0AbCOyDCVG+j558iRWrVplrvoQ0RPu999/BwA899xzZq4JET2pZs+ejRdffFEnrUTARERkTtrpCMLDw81cEyKiv7APExEREZEeDJiIiIiI9GDARERERKQHAyYiIiIiPRgwEREREenBgImIiIhIDwZMRERERHowYCIiIiLSgwETERERkR4MmIiIiIj0YMBEREREpAcDJiIiIiI9GDARERER6cGAiYiIiEgPBkxEREREejBgIiIiItKDARMRERGRHgyYiIiIiPRgwERERESkBwMmIiIiIj0YMBERERHpwYCJiIiISA8GTERERER6MGAiIiIi0oMBExEREZEeDJiIiIiI9GDARERERKQHAyYiIiIiPRgwEREREenBgImIiIhIDwZMRERERHowYCIiIiLSo665K0BET66srCzk5OTopOXm5gIA7t27p5PeoEEDWFtbV1vdiIgepxIRMXcliOjJtH79erzzzjsGrRsaGopp06ZVcY2IiErHgImIzCY1NRWOjo4oKCgodz0rKyskJSWhVatW1VQzIiJd7MNERGbTqlUrvPrqq7CysipzHSsrKwwcOJDBEhGZFQMmIjIrX19flHejW0Tg6+tbjTUiIiqJj+SIyKwyMjLQqlWrEp2/terXr4/U1FQ0bdq0mmtGRPQX3mEiIrOysbHBa6+9hnr16pVYVrduXYwYMYLBEhGZHQMmIjK7N998E/n5+SXSCwoK8Oabb5qhRkREuvhIjojMLjc3Fy1btkRGRoZOepMmTXDnzh00aNDATDUjIirCO0xEZHb169fH6NGjUb9+fSWtXr168Pb2ZrBERBaBARMRWQQfHx9llG8AyMvLg4+PjxlrRET0Fz6SIyKLUFhYCAcHB6SmpgIAWrZsidu3b5c7RhMRUXXhHSYisgh16tSBj48P6tevj3r16uHNN99ksEREFoMBExFZjLFjxyI3N5eP44jI4tQ1dwX0CQ8PN3cViKiaiAhatGgBALh69SoSEhLMWyEiqjZeXl7mrkK5LL4Pk0qlMncViIiIqIpZeDhi+XeYACAsLMziI08iMo3z588DAJ5++mmT561SqXg+0WP06NEAgB07dpi5JvSkCA8Ph7e3t7mroVeNCJiI6MlRFYESEVFlsdM3ERERkR4MmIiIiIj0YMBEREREpAcDJiIiIiI9GDARERER6cG35IiIiEzo6tWr2L9/P3JycjBy5Eh06tSpxpRX3XWvSXiHiYjISL1790ZgYKC5q2GRLl26hODgYISHh6NHjx5QqVTQaDTIzs7WWe/IkSMYMmQIVCoVevXqZdGzOiQmJmLz5s3w9vZGnz59ylwvIyMD06dPx6BBg9C9e3fMnTu3QgFHdZdnbF4hISE6g0oXFBRg/vz5uHXrVoXKrjHEwgGQsLAwc1eDiGoBU51PxowZI4sWLTJBjSrmxo0bVZb3qFGjZNSoURXa9tixY+Lj4yO5ubkiInL//n0BIABk8uTJJdZPSEgQABIbG1upOleH69evCwBRq9WlLk9JSZHnn39eXF1dJTU1tUaVZ0xep0+fFmtraykePty9e1feeOMNiY+PN7r8sLCwEvlZIj6SIyIy0n/+8x+zlZ2QkAA/Pz8cP37cbHUozYULF+Dn54fff/8d9erVAwA0bdoUANC3b19s2LABr776qs4o623btgUAODs7V3+FjeTk5FTucn9/f5w9exZRUVFo2bJljSrP0LzS09OxZ88eODk5ITY2VmeZnZ0dPvroI3h6eiI6OhqNGzeuVJ0sER/JERHVELdu3cLw4cORmppq7qroEBH4+vpi/PjxaN68eYnlYWFhcHR0xKRJk3D16lUlvW7dov+zawOsmioiIgIHDx6Eh4cH3NzcalR5xuS1ZMkSBAYGljnHa/fu3eHi4oK5c+dWqk6WigETEZGBCgsLsWPHDvj7+6Nfv34AgH379mHKlClwcnJCeno6/P390bJlS3Tr1g2//fYbACA6Ohpz5syBs7MzkpOTMWrUKLRo0QLdunXDrl27AAAbN25EnTp1lItRRkYGVq1apZP25Zdf4ty5c7h9+zamTp2q1CsyMhJOTk5mu+u0b98+nDlzBkOGDCl1uYODA8LDw5GVlQVvb2/k5eWVmdeDBw8wb948LFiwAAEBAfDw8EBAQADS09OVsvS1NwA8evQIK1aswNtvv41evXph0KBB+PPPP0274//nq6++AgC0b98e/fr1g42NDXr27IkDBw5YfHmG5hUSEgIvLy/lrmFZPDw8sHHjRsTHxxtdF4tn7meC+oB9mIjIRExxPinet+TmzZvSpEkTASBBQUFy7do1+eabbwSAuLm5SUFBgUREREijRo0EgEyfPl2OHz8u27ZtExsbGwEgUVFRIiLi4uJSoi9H8TSU0q9l7969Ym1tLfv376/UvolUrA/T2LFjRaVSSV5eXollj9d99erVAkDmzJlT6vKMjAxxdXWVjz/+WElLSUkRV1dX6dixo6Snp+ttb61JkybJxYsXlb8HDx4s9vb28uDBA6P2rfi+lNanqEOHDgJAgoODJSkpSaKjo8XJyUlUKpWcOnXKosszJK+TJ0/KqlWrlG3UanWZfY5+//13ASDLli0zuA41pQ+TxdeQARMRmYqpzifFL2RdunQpccK3t7eXBg0aKH+7uroKAMnMzFTS1qxZIwBkzJgxIlL6hah4WlkX0fz8/Mrt1P+pSMDUoUMHsbW1LXVZ8f3x8vISlUolBw4cKLF84cKFAkCSkpJ0ttmyZYsAkMDAQBHR394xMTFKZ/Pin4iICKP2rfi+lNb2DRs2FEdHR500bRDn6+tr0eXpyystLU0mTJgghYWFyvLyAqbExEQBIEOHDjW4DjUlYOIjOSKiSiqtT4ednR1ycnKUv+vUKTrdWltbK2menp4Ail7FrywrK6tK51FRt2/fhp2dnUHrbtq0CWq1Gv7+/khMTNRZFhUVBQCwsbHRSe/bty8A4MSJEwD0t/fp06eh0WggRTcFdD7Dhg0zbucM4ODgUKIf1iuvvAIAJTpHW1p5+vKaOnUqfH19ERcXh9jYWMTGxirtHBsbW+LRm62tLQAgOTnZqHrUBAyYiIjMpE2bNgD0vxFl6aysrFBQUGDQuk2aNMGuXbuQnZ0NX19fnWXaoDIhIUEn3d7eHgDQrFkzg8pIS0tDfHw8srKySiwrLCw0KA9jdO7cGSkpKTpp2rfNSusEb0nl6ctr3759GDBgANRqtfLRdtxXq9Xw8PDQ2basDuG1AQMmIiIzSUtLAwAMHDgQwF8Xm9zcXABFb5/dv39fZxuVSoX8/PwSeRkasFQFR0dHpVP247TBSfEgRa1W44svvkBkZKROuvZOUvEOxzdu3ADwVzvpo1arkZWVheXLl+ukX7hwAevWrTMoD2P4+Pjg0aNH+OOPP5S0O3fuAABeeOEFiy5PX17Z2dkl7tKp1WoARcdn8buj9+7dA1B056q2YcBERGSEhw8fAih6m0vr0aNHJdbLyMgAgBLBzeOBzeHDh9GzZ09MmTIFAJQL0ZIlS3D58mWsXbtWefzxww8/oLCwEC4uLkhKSlKCCKAowLC1tcX3339vil00Wr9+/ZCRkaG0jZb2zkVpj2dGjx6NWbNm6aQFBgZCo9EgJCQEt2/fVtJDQ0Ph7u6Od999F4D+9h4xYgQ6duyIxYsXY+LEidi2bRsWLVqEmTNnYvz48QCA4OBgPPPMM9i+fbtB+6gdqby0wHTcuHHQaDRYuXKlkrZ79244ODhg9uzZFl2eIXkZQxtsvfTSS0Zva+kYMBERGSgrKwtLly4FUDR9xerVq7F8+XLlEVJQUBAePHiAtWvXKtNELFq0SOcCv2bNGqSlpSE1NRVJSUn46aeflPGIli9fDjc3N6xatQrvvPMOhg0bhmeeeQbjxo1Deno68vPzMXr0aDRt2hSnT59W8mzQoAGaNm2KBg0aVFNL6PLz84OI4OTJk0ra7t27MXHiRADA5MmT8csvv5TYbsWKFToX1kaNGuHkyZPw8fHBW2+9hTlz5mDevHlo0aIFjh49irp162L9+vV621tEcPToUXh6emLPnj0ICAhASkoKtm7dqvSPio+Px8WLFzFnzhy9+3fs2DHMnDkTQNHjwpUrV+Ls2bPKcisrK/z8889o2LAh3nrrLSxatAjR0dH49ddflT49llqeIXkZIyoqClZWVjoDlNYWKhERc1eiPCqVCmFhYbWy8YmoepnzfNK1a1dcvHgRFn7KxejRowEAO3bsMGq7YcOGwdXVFatXr66KalWJuLg4+Pn5ITo6muWZiKenJxwcHLBhwwaDtwkPD4e3t7fF/zZ4h4mIiCpt8+bNOHjwYI15OyorKwshISH4/PPPWZ6JxMTEIC4uDsHBwdVWZnViwFTLpaSkYMeOHcpjBEtWvHMrVb2adHzUdJmZmTr/1jatW7fGzp07MWvWrFLfTrM08fHxWLp0KTQaDcszgaSkJAQFBeHw4cMlhoWoLRgw1WIXL17E4sWL4eXlha+//lpnWe/evREYGFgl5W7atAnPPfccbGxs0KNHD2zevLnMdXNycrB06VL06dMHLVq0MLqsxMREbN68Gd7e3ujTp0+F6rt79254eXlBpVJBpVLhp59+KnPdEydOKOuNGjUKx44dq1CZpYmKisKQIUOgUqlgZWWFwYMHY8CAAejbty+mT59e4tXfyrLE4+Pw4cMYOnSo0sYDBgzAgAED0KtXL4wYMQKbNm1S3iCrKTIzM7Fw4UKlk/aMGTOq9RFJddJoNAgKCkJoaKi5q6KXRqOp1gt7bS4vPz8fW7ZswdatW9GuXbtqKdMsqn2oTCOBI31XyqNHj0odLXbMmDGyaNEik5c3f/588fX1ldDQUHnvvfeU6SBCQkLK3CY7O1uaN29e4ZFei09VURFZWVnKSMCenp5lrjd27FixtrYWAHL79u0Kl1eWW7duCQDp3LmzkpacnCyvvvqq2Nrayq+//mrS8izx+NC2gbOzs5JWWFgo+/fvFxcXF+ncubOcO3euQuXzfKJfRUb6JqqMmjLSt8XXkCe4yqtsMGGoGzduyJtvvqmT9sMPPwgA6dSpU7nbljfUviFMsY8AxN3dXerUqSOXLl0qsTwpKUk8PDwqXVdD6lF8X/78808BIG+88Ua1lFcVjDk+yqpTYmKiODo6iouLi2RnZxtdB55P9GPARNWtpgRMfCRHJnPt2rUSnf0GDx6MVq1amfxxUlWZOXMmCgsLsXbt2hLLNmzYoDNDfHV66qmnAEB5dbomMsXx4ejoiH/961+4cuVKre1YSkSWqVYFTFlZWdi6dSt8fHzg7u6O6OhoPP/88+jQoQOioqIQFxeHkSNHolWrVujatSt+++03ne0vXbqE0aNHY/78+fDz80Pfvn3xv//9DwDw3//+F4MHD4ZKpYKnpyfu3r2LwMBAtG/fvkT/j/JER0djzpw5cHZ2RnJyMkaNGoUWLVqgW7du2LVrl7LegwcPMG/ePCxYsAABAQHw8PBAQECAzmi6hqxTXGFhIXbs2AF/f3/069cPALBv3z5MmTIFTk5OSE9Ph7+/P1q2bIlu3bqVaKN169Zh3LhxmDZtGho2bKj0NVGpVHB3d1emMHhcbm4uXn75ZeXv7OxsBAQEYMqUKVi0aBHef//9KusIGxkZCScnJxw/ftyg9UeOHImnnnoKmzdv1mnHvLw8/PDDD3jttdfK3LYqj59Tp04BANzd3QHU7uNDn1GjRsHKygqHDh0yeBsiokoz9y0ufWDELfTCwkK5fPmyAJBmzZrJgQMH5Pz58wJAOnToICtXrpT79+/L77//LgCkf//+Ott37txZXFxcREQkLy9PbG1tRaPRKMszMzPl6aefFmdnZ8nJyRFPT0+Ji4szeF8KCgokIiJC6bcxffp0OX78uGzbtk1sbGwEgERFRUlGRoa4urrKxx9/rGybkpIirq6u0rFjR0lPTzdoncfb8PHHG8X7/Ny8eVOaNGkiACQoKEiuXbumzFbt5uambBcSEiJWVlaSlpYmIiLLli0TABIQEFDmPkdFRUmjRo3kzJkzIlI0o7qbm5tMmjRJWefKlStSt27dKnkkt3fvXrG2tpb9+/cblIeIyKeffioAZMWKFcqy7du3y6effioiZT8+NNXxA0BcXV2loKBA0tLSZM+ePfLUU09J06ZN5eLFi7X6+CirTsU5OjpKixYtylxeFmPOJ08qPpKj6lZTHsnVyoErVSoV1Go1Lly4AABo164dbt26pTMolr29PXJzc5V5bwBg9erVcHR0xJgxYyAi6Ny5M65fv67zVs5vv/2G3r17o1evXpg8eTL8/f2N3qcuXbogLi4OmZmZyszla9euxcyZMzFmzBi4uLggKCgISUlJOvPxfP311/Dz80NgYCDq1aundx3tPErF26O0NLVajdjYWJ02cnBwQHp6ujJK8YgRIxAREYFHjx6hXr16OHfuHDQaDXr37q0zwq9WQUEBXn31VfzjH//AmDFjABRNcfDuu+/iwoULyjQQj7dJRQ/H0vbx8XoYMpO7SqVS5u5q164d7OzsEB8fj7p168LDwwPbt2+HnZ1dmQMQmur4eXzyyoYNG6J169YYPHgwAgMD0blzZ3zwwQe19vgoq/zi2rdvj4KCAqMfUapUKvTu3bt2v8lTSdo3+Hr37m3mmtCT4ubNm4iOjubAlZagtFcrmzdvXuLRxKxZs/Daa69h/fr1CAoKQk5ODvLy8nTW6dmzJ+bNm4eYmBg899xzFaqPdkZubbAEFI2OChQ91omKiiq13tqJKU+cOGHQOsYobYZpOzs7ZR4rABg0aBAKCwuViTEbNmwIABgwYECpef7zn//Eq6++qnMx1D5G6dChg8662japCoYES49r1qwZxo8fjxs3bmDnzp04e/YsOnbsCDs7u3K3M+Xxo1arISLIzs7GtWvXsHHjRnTu3BkAavXxYYi8vDwkJyejR48eRm1HRFQZdc1dAUty+vRpeHt7Y/369Zg2bRq2bt1aYh0RwZUrV+Dk5IRx48bh119/Rf369Stddps2bQAATk5OyqSeCQkJeOaZZ5R1tP0/mjVrpkzMWN46pvbuu++iUaNGmDhxIqKionDp0iUsXrwY77//fol1IyIi0LhxY8ybN08nXXtHIC0tDW3btjV5HU1lxowZCA0NxerVq9GtW7cSk4SWprqOH21wWRuPD0McPXoUubm5ePXVVytUz1mzZnGqpXJUdGoUoorSTo1i6Z6IO0yG8vPzQ15eHoYMGQKgqANscStWrMAbb7yBL774An/++Sc++ugjk5SdlpYGABg4cKByF0D7P3Ut7cB3hq5jagUFBfjzzz8RHR2NlStXYs+ePVi0aFGJOzg//vgjbt68WeJiePLkSeUxXPF6V6XSZvsuTvtda//t1KkThg8fjpiYGNy6dQtPP/20sm5Zt42r6/ipzceHPrm5uXj//ffx3HPPYcb7gtcxAAAgAElEQVSMGSatPxFRuczQb8ooMLKTZnZ2tgCQLl26KGkuLi4CQDIyMpS0Dh06CAApKChQ0po1ayYqlUoOHTokW7duldatWwsAiYmJkRs3bkh0dLSMHTtWWX/atGliZWUlP/30k1H7pO00nJ+fr6R99dVX0rNnT8nLy5OsrCzRaDTSrl07SUpKUtZ57733xN3d3eB1RP4akLFDhw7KOhkZGQJA2rRpU6I9Hte2bVsBoOS1ePFicXFxkU2bNsn3338vJ06ckLi4OJ39OHz4sAwYMEDWrVunfEJCQmTWrFnywQcfyB9//CF169aVFi1ayPfffy9ZWVly9OhRadq0qQCQq1evGtWWj+/j44M9akVEREiTJk3ku+++KzePpKQkASCJiYlKWmRkpAAo0WG8Xbt2AqDEOECmOH6uXbsmAOSpp54qd39r6/FRVp1ERM6cOSN9+/YVZ2dnOX/+fJntUx5jzydPInb6pupWUzp9W3wNjTnBJScny+zZswWANGjQQA4fPiw//PCD8gbWjBkzJC0tTUJCQkSlUilvQt25c0dEREJDQ6VZs2bywgsvSHR0tKxdu1bs7OxkxIgRsnHjRmnVqpVMnTpVKe/9998XAGJrayubN282eJ+0AdOnn34qd+7ckZSUFPnkk0/k4cOHyjoZGRkSGBgogwcPloCAAAkMDJTFixdLTk6OwevEx8fLjBkzlBGs16xZI7du3ZIFCxYoaatWrZJPPvlE+XvJkiVy//59WbNmjZI2f/58yc7Olh9//FHs7e2VdO2nVatWsnPnTjlx4oQyCnbxj0qlkitXroiIyPHjx8Xd3V1sbGykY8eO8sknn0jfvn3lH//4hxw5ckQniNUnMjJSJk+eLACkXr16smLFCvnjjz+U5T/++KO0adNGjh49WmYee/fulddee00AyPDhw+XIkSPKsr///e9Kfc6fPy8LFy5U9snLy0siIyOVdSt7/MTExIiXl5eS/zvvvCPR0dGl1rm2Hh+//PKLTJw4UUnv37+/eHh4iKenp/z973+X0NBQnd+JsRgw6ceAiapbTQmYauVbcpaurLesLN3mzZtx584dzJ07F0DRI6fExERERkZizpw5NWaWcqoaNeH4qI3nE1NjHyaqbto+TJZ+TWSnbxMq7U2i4i5evFgNNTG95cuXY/78+UpfK6Co83G7du3w0ksvmbQDt6Ht2KVLF5OVSZVTnccHEZE5sNO3CUnRI85yP126dFFGta6q0a2rwi+//AIA+Oyzz3QuimfOnMH8+fPxzTffmKwsQ9uRLEd1Hh9EVDFXr17F//t//w8rV67E5cuXzV2dGocBUzXKzMzEwoULlTeVZsyYoQwSZ+m++uorTJ8+HZs2bUK7du3g7u4OLy8vnDlzBt98843OW2T05OHxQca4dOkSgoODER4ejh49ekClUkGj0SjDYWgdOXIEQ4YMgUqlQq9evRAeHm6mGuv39ddfw9PTEwsWLMCAAQMwbdq0cqchqq68ACAjIwPTp0/HoEGD0L17d8ydOxedOnUqdd2QkBCdu/wFBQWYP39+jZ7H0mSqs8NURYCdNInIRMx5Prlx40aNyLuqO30fO3ZMfHx8JDc3V0RE7t+/r3Tynzx5con1ExISBIDExsZWWZ0q67PPPhMAcvDgQREROXfunACQ119/3ax5iRRNifT888+Lq6urpKamlrvu6dOnlRczHnf37l154403JD4+vkJ10KemdPrmHSYioiqWkJAAHx+fGpe3qV24cAF+fn4ICQlBvXr1AABNmzYFUDS+2IYNG0rcRdL2f3N2dq7eyhphy5YtAIBevXoBAJ5++mm0bt0aR44cMWteAODv74+zZ89iy5YtaNmyZZnrpaenY8+ePXByciqxzM7ODh999BE8PT1rVFcSU2PARERUhW7duoXhw4cjNTW1RuVtaiICX19fjB8/Hs2bNy+xPCwsDI6Ojpg0aRKuXr2qpNetW/RukjbAskTa/Tl27BiAou4XaWlpZU4LVF15RURE4ODBg/Dw8ICbm1u56y5ZsgSBgYFlvnTTvXt3uLi4KG/BPokYMBERleHBgweYN28eFixYgICAAHh4eCAgIEDpT7Jx40bUqVNHuchkZGRg1apVOmlffvklzp07h9u3b2Pq1KkAiia4nTNnDpydnZGcnIxRo0ahRYsW6NatG3bt2lWpvAEgMjISTk5OOH78ePU0lAH27duHM2fOKCPhF+fg4IDw8HBkZWXB29u7xDyMj9P3vezbtw9TpkyBk5MT0tPT4e/vj5YtW6Jbt2747bfflHwePXqEFStW4O2330avXr0waNAg/Pnnn0bv2+rVq+Hi4oKZM2fi+vXrWLduHebOnYtt27aZNa+vvvoKQNFk1f369YONjQ169uxZYgaAkJAQeHl5KXf7yuLh4YGNGzciPj7e6LrUCuZ+JqgP2IeJiEzEmPNJRkaGuLq6yscff6ykpaSkiKurq3Ts2FHS09NF5K+ZBB5XPA2AqNVqEREpKCiQiIgIadSokQCQ6dOny/Hjx2Xbtm1iY2MjACQqKqpCeWvt3btXrK2tS4xSb4iq6sM0duxYUalUysjwj3t8f1avXi0AZM6cOaUuN+R7uXnzpjRp0kQASFBQkFy7dk2++eYbASBubm7KdpMmTZKLFy8qfw8ePFjs7e3lwYMHRu9famqquLu7S7t27WT27NlGb18VeWlH6A8ODpakpCSJjo4WJycnUalUcurUKREROXnypKxatUrZRjuwcml+//13ASDLli2rcJ1KU1P6MFl8DRkwEZGpGHM+0Y7q/vjUMiIiW7ZsEQASGBgoIqVfYIqnlRbUuLq6CgDJzMxU0rQjqI8ZM6ZSeYuIzpQ0xqiqgKlDhw5ia2tb6rLi++jl5SUqlUoOHDhQYrmh30uXLl1K5Gtvby8NGjQQEZGYmJhSR50HIBEREUbv37Vr12T48OHyt7/9TQDI3LlzpbCw0Oh8TJlXw4YNxdHRUSdNGzj6+vpKWlqaTJgwQSfv8gKmxMREASBDhw41ui7lqSkBEx/JERGVIioqCgBgY2Ojk66d2PjEiROVyr9OnaLTr7W1tZLm6ekJoOi1+8oqPumxud2+fRt2dnYGrbtp0yao1Wr4+/sjMTFRZ5mh30tpfXHs7OyQk5MDADh9+jQ0Gk2p47wNGzbMqH07deoUevbsibfeegt79uyBu7s7Vq5ciQ8//NCofEydl4ODQ4m+X6+88goAIDY2FlOnToWvry/i4uIQGxuL2NhYpX1iY2NLPHqztbUFAIsYtd8cGDAREZVCG9AkJCTopNvb2wMAmjVrZvIy27RpAwClvqlU01lZWaGgoMCgdZs0aYJdu3YhOzsbvr6+OstM9b2kpaUhPj4eWVlZJZYVFhYalIfWggULcOfOHfTv3x/169fH9u3bAQAbNmwwKh9T59W5c2ekpKTopGnflGvevDn27duHAQMGQK1WKx9th3u1Wg0PDw+dbQ2ZhaE2Y8BERFQK7R2L4h1ktQPPDhw4EMBfF5Hc3FwARW+D3b9/X2cblUqF/Px8vWVqR0k3Rd6GBifVxdHRsdTBF7XBSfEgRa1W44svvkBkZKROuqHfiz5qtRpZWVlYvny5TvqFCxewbt06g/LQ0n4/9evXBwC0a9cO9vb2FQowTJmXj48PHj16hD/++ENJu3PnDgDghRdeQHZ2dom7a2q1GkDRsVb8Tue9e/cAFN25ehIxYCIiKkVgYCA0Gg1CQkJw+/ZtJT00NBTu7u549913AUC5wCxZsgSXL1/G2rVrlccaP/zwAwoLC+Hi4oKkpCTlov64xwObw4cPo2fPnpgyZUql8j5w4ABsbW3x/fffm7JJKqVfv37IyMjAw4cPddK1d0BKe8wzevRozJo1SyfN0O/l0aNHJfLLyMgAAOTn52PEiBHo2LEjFi9ejIkTJ2Lbtm1YtGgRZs6cifHjxwMAgoOD8cwzzyh3ecqiHQfr4MGDAIDr168jOTkZY8aMUdYxR17jxo2DRqPBypUrlbTdu3fDwcEBs2fPLnfb0miDrZdeesnobWsF83SdMhzY6ZuITMTY80lGRoYEBgbK4MGDJSAgQAIDA2Xx4sWSk5OjrBMXFydubm7SuHFjGTx4sMTFxcnLL78s48aNk+3bt0tOTo4sWLBAHB0dZefOncp22s61n376qdy5c0dSUlLkk08+kYcPH1Y67x9//FHatGkjR48eNbqNqqrT908//SQA5NChQ0rarl27ZOjQoQJAhg8fLj///HOJ7fLy8uSll17SSdP3vYSGhioduJcsWSL3799XOtQDkPnz50t2drYkJCSIp6enNG/eXBwcHGTy5Mk6o2FPmzZN6tSpI23bttW7f6GhofLCCy9IQECAjBw5Uj788EN59OiR2fO6d++eTJgwQfz8/OSDDz4QX19fuXnzZpnrl9fp+9///rdYWVnJlStX9JZrjJrS6VslImKmWM0gKpUKYWFh8PLyMndViKiGs6TzSdeuXXHx4kVY2il49OjRAIAdO3aYPO9hw4bB1dUVq1evNnneVSUuLg5+fn4mmffTUvMylKenJxwcHCrUn6o84eHh8Pb2trjfQnF8JEdERNVi8+bNOHjwYI15yyorKwshISH4/PPPa21ehoqJiUFcXByCg4OrrUxLw4CJiMgMtHNyPUlzc7Vu3Ro7d+7ErFmzSn07zdLEx8dj6dKl0Gg0tTYvQyQlJSEoKAiHDx8uMZzDk4QBExFRNcrMzMTChQuVTtozZsyo1scq5qbRaBAUFITQ0FBzV0UvjUZjsgDBUvPSJz8/H1u2bMHWrVvRrl27ainTUtU1dwWIiJ4kjRs3RlBQEIKCgsxdFbNxdnZ+oidxrUnq1q2LefPmmbsaFoF3mIiIiIj0YMBEREREpAcDJiIiIiI9GDARERER6cGAiYiIiEiPGjHSNxEREdVuFh6OWP6wAmFhYeauAhFVI+20GcUnXSUiMieLv8NERE8W7Txv4eHhZq4JEdFf2IeJiIiISA8GTERERER6MGAiIiIi0oMBExEREZEeDJiIiIiI9GDARERERKQHAyYiIiIiPRgwEREREenBgImIiIhIDwZMRERERHowYCIiIiLSgwETERERkR4MmIiIiIj0YMBEREREpAcDJiIiIiI9GDARERER6cGAiYiIiEgPBkxEREREejBgIiIiItKDARMRERGRHgyYiIiIiPRgwERERESkBwMmIiIiIj0YMBERERHpwYCJiIiISA8GTERERER6MGAiIiIi0oMBExEREZEeDJiIiIiI9GDARERERKQHAyYiIiIiPRgwEREREelR19wVIKInV0xMDM6ePauTFh8fDwDYsGGDTvqzzz4LNze3aqsbEdHjVCIi5q4EET2ZIiIi8Nprr8HKygp16hTd8NaeklQqFQCgsLAQBQUF2L9/P4YPH262uhLRk40BExGZTV5eHlq2bIkHDx6Uu17Tpk2RmpqK+vXrV1PNiIh0sQ8TEZlNvXr1MHbs2HIDIUPWISKqagyYiMisxo4di9zc3DKX5+XlwcfHpxprRERUEh/JEZFZFRYWok2bNkhOTi51eatWrXD79m2ljxMRkTnwDEREZlWnTh2MGzeu1Edu9evXh7+/P4MlIjI7noWIyOzKeiyXm5uLsWPHmqFGRES6+EiOiCxC586dcfnyZZ20jh074sqVK2aqERHRX3iHiYgsgq+vL+rVq6f8Xb9+fbz11ltmrBER0V94h4mILMLly5fRuXNnnbTY2Fi4urqaqUZERH/hHSYisgidOnXCs88+C5VKBZVKhWeffZbBEhFZDAZMRGQx/Pz8YGVlBSsrK/j5+Zm7OkRECj6SIyKLkZiYCCcnJ4gIbty4gbZt25q7SkREABgwWbzRo0ebuwpE1erYsWMAgP79+5u1HkTVbceOHeauApWDj+Qs3LfffoubN2+auxpEOm7evIlvv/22SvJu3749nnrqqSrJu7rx90uGqMrfE5kO7zBZOJVKhbCwMHh5eZm7KkSK8PBweHt7oypOH3fv3gUANG/e3OR5Vzf+fskQVfl7ItOpa+4KEBE9rjYESkRU+/CRHBEREZEeDJiIiIiI9GDARERERKQHAyYiIiIiPdjpm4iI6P9cvXoV+/fvR05ODkaOHIlOnTqZu0pkIXiHiYjMqnfv3ggMDDR3NSzOpUuXEBwcjPDwcPTo0QMqlQoajQbZ2dk66x05cgRDhgyBSqVCr169EB4ebqYa6/f111/D09MTCxYswIABAzBt2jSkp6ebPS8AyMjIwPTp0zFo0CB0794dc+fOLTNYCgkJgUqlUv4uKCjA/PnzcevWrQqXTzWAkEUDIGFhYeauBpGOsLAwMdXpY8yYMbJo0SKT5FURN27cqLK8K/r7PXbsmPj4+Ehubq6IiNy/f18ACACZPHlyifUTEhIEgMTGxla6zlXls88+EwBy8OBBERE5d+6cAJDXX3/drHmJiKSkpMjzzz8vrq6ukpqaWu66p0+fFmtr6xLH/927d+WNN96Q+Ph4o8s35e+Jqg6/IQvHgIksUW05wV+9elVefvnlKsu/Ir/f8+fPS/v27SUtLa1EXn379i01z7y8PAGgBFiWqE+fPgJAJyBp3bq12NjYmDUvEZGhQ4eKlZWVREdHl7vevXv3ZOHChdKlS5dSj/+zZ8+KRqORhw8fGlV+bfk91XZ8JEdET6Rbt25h+PDhSE1NNXdVFCICX19fjB8/vtQBPMPCwuDo6IhJkybh6tWrSnrdukXdUevVq1dtdTWWdn+0cwVmZmYiLS0NAwYMMGteEREROHjwIDw8PODm5lbuukuWLEFgYKDO47jHde/eHS4uLpg7d67R9SDLx4CJiMyisLAQO3bsgL+/P/r16wcA2LdvH6ZMmQInJyekp6fD398fLVu2RLdu3fDbb78BAKKjozFnzhw4OzsjOTkZo0aNQosWLdCtWzfs2rULALBx40bUqVNHubBlZGRg1apVOmlffvklzp07h9u3b2Pq1KlKvSIjI+Hk5ITjx49XZ3MAKNr/M2fOYMiQIaUud3BwQHh4OLKysuDt7Y28vLwy83rw4AHmzZuHBQsWICAgAB4eHggICFD6+RjS1gDw6NEjrFixAm+//TZ69eqFQYMG4c8//zR631avXg0XFxfMnDkT169fx7p16zB37lxs27bNrHl99dVXAIrmMOzXrx9sbGzQs2dPHDhwQGe9kJAQeHl5oWnTpuXm5+HhgY0bNyI+Pt7oupCFM/ctLiof+EiOLJCpHiFcv35dAIharRYRkZs3b0qTJk0EgAQFBcm1a9fkm2++EQDi5uYmBQUFEhERIY0aNRIAMn36dDl+/Lhs27ZNbGxsBIBERUWJiIiLi0uJOhZPe7xsrb1794q1tbXs37+/0vtn7O937NixolKpJC8vr9S8tFavXi0AZM6cOaUuz8jIEFdXV/n444+VtJSUFHF1dZWOHTtKenq63rbWmjRpkly8eFH5e/DgwWJvby8PHjwweL+0UlNTxd3dXdq1ayezZ882evuqyKtDhw4CQIKDgyUpKUmio6PFyclJVCqVnDp1SkRETp48KatWrVK2UavVZR7/v//+uwCQZcuWGVwHPpKrGfgNWTgGTGSJTHmCLx60lNY/xN7eXho0aKD87erqKgAkMzNTSVuzZo0AkDFjxohI6Re14mmlBUwiIvn5+ZXbqcfyN+b326FDB7G1tS0zr8d5eXmJSqWSAwcOlFi+cOFCASBJSUk622zZskUASGBgoIjob+uYmBils3nxT0REhMH7pXXt2jUZPny4/O1vfxMAMnfuXCksLDQ6H1Pm1bBhQ3F0dNRJ0waOvr6+kpaWJhMmTNDJu7yAKTExUQDI0KFDDa4DA6aagY/kiMiilNY/xM7ODjk5OcrfdeoUnbqsra2VNE9PTwBFr+NXlpWVVaXzqIjbt2/Dzs7OoHU3bdoEtVoNf39/JCYm6iyLiooCANjY2Oik9+3bFwBw4sQJAPrb+vTp09BoNJCi/1zrfIYNG2bUvp06dQo9e/bEW2+9hT179sDd3R0rV67Ehx9+aFQ+ps7LwcGhRN+vV155BQAQGxuLqVOnwtfXF3FxcYiNjUVsbKzSPrGxsSUevdna2gIAkpOTja4LWTYGTERUK7Rp0wYA4OTkZOaaVJyVlRUKCgoMWrdJkybYtWsXsrOz4evrq7NMG1AmJCTopNvb2wMAmjVrZlAZaWlpiI+PR1ZWVollhYWFBuWhtWDBAty5cwf9+/dH/fr1sX37dgDAhg0bjMrH1Hl17twZKSkpOmktW7YEUNS5fN++fRgwYADUarXy0Xa4V6vV8PDw0Nm2rA7hVPMxYCKiWiEtLQ0AMHDgQAB/Xbhyc3MBFL2Bdv/+fZ1tVCoV8vPzS+RlaNBiao6OjqUOvqgNTooHKWq1Gl988QUiIyN10rV3kop3XL5x4waAv9pIH7VajaysLCxfvlwn/cKFC1i3bp1BeWhpv4f69esDANq1awd7e/sKBRimzMvHxwePHj3CH3/8oaTduXMHAPDCCy8gOzu7xN01tVoNoOiYKn5H8969ewCK7lxR7cKAiYjM5uHDhwCK3ujSevToUYn1MjIyAKBEcPN4YHP48GH07NkTU6ZMAQDlorZkyRJcvnwZa9euVR6l/PDDDygsLISLiwuSkpKUQAIoCjJsbW3x/fffm2IXjdKvXz9kZGQo7aKlvQNS2mOe0aNHY9asWTppgYGB0Gg0CAkJwe3bt5X00NBQuLu749133wWgv61HjBiBjh07YvHixZg4cSK2bduGRYsWYebMmRg/fjwAIDg4GM8884xyl6csPj4+AICDBw8CAK5fv47k5GSMGTNGWccceY0bNw4ajQYrV65U0nbv3g0HBwfMnj273G1Low22XnrpJaO3JQtnpr5TZCCw0zdZIFN0Us3MzJQFCxYonYhXrVoln3zyifL3kiVL5P79+0pnbgAyf/58yc7OVjrdfvrpp3Lnzh1JSUmRTz75RGfAwLi4OHFzc5PGjRvL4MGDJS4uTl5++WUZN26cbN++XXJycmTBggXi6OgoO3fuVLb78ccfpU2bNnL06NFK7Z+I8b/fn376SQDIoUOHlLRdu3bJ0KFDBYAMHz5cfv755xLb5eXlyUsvvaSTlpGRIYGBgTJ48GAJCAiQwMBAWbx4seTk5IiISGhoqEFtnZCQIJ6entK8eXNxcHCQyZMn6wwYOW3aNKlTp460bdtW7/6FhobKCy+8IAEBATJy5Ej58MMP5dGjR2bP6969ezJhwgTx8/OTDz74QHx9feXmzZtlrl9ep+9///vfYmVlJVeuXNFbrhY7fdcMKhGR6g7SyHAqlQphYWHw8vIyd1WIFOHh4fD29oa5Th9du3bFxYsXzVa+oSry+x02bBhcXV2xevXqKqyZacXFxcHPzw/R0dG1Ni9DeXp6wsHBwaj+VOb+PZFh+EiOiMiCbN68GQcPHqwxb1llZWUhJCQEn3/+ea3Ny1AxMTGIi4tDcHBwtZVJ1YcBExHVOJmZmTr/1iatW7fGzp07MWvWrFLfTrM08fHxWLp0KTQaTa3NyxBJSUkICgrC4cOHSwznQLUDA6YnRPG3g4hqoszMTCxcuFDppD1jxoxqfdxSXTQaDYKCghAaGmruquil0WhMFiBYal765OfnY8uWLdi6dSvatWtXLWVS9WPAVIvl5ORg6dKl6NOnD1q0aGHu6lSrxMREbN68Gd7e3ujTp0+F8jh8+DCGDh0KlUoFlUqFAQMGYMCAAejVqxdGjBiBTZs2Ka83U/Vo3LgxgoKClNe7N23ahN69e5u7WlXC2dmZk7jWEHXr1sW8efN4Z6mWY8BUizVo0ACzZ89GbGys2caVqaybN29WaLs2bdpg4MCBCA8PV8ZFMdbAgQOV/g/Ozs44evQojh49ilOnTmHSpElYtmwZNBoNzp8/X6H8LUFF25eI6EnDgKmWa9iwIVq3bm3ualRIQkKCMt5KRZhixGft6NENGjRQ0lQqFYYPH46ff/4ZDx8+hKenZ6nj2Vi6yrYvEdGThAETWaRbt25h+PDhSE1NNXdVyuTo6Ih//etfuHLlSo17K6YmtC8RkSVhwFTLZGdnIyAgAFOmTMGiRYvw/vvvK28SFRYW4qeffsKsWbPg7OyMxMRE9O/fH0899RTS09Px4MEDzJs3DwsWLEBAQAA8PDwQEBCgTNUQHR2NOXPmwNnZGcnJyRg1ahRatGiBbt26YdeuXUod9OWzceNG1KlTR5nGICMjA6tWrdJJ+/LLL3Hu3Dncvn0bU6dONXk7RUZGwsnJCcePH69UPqNGjYKVlRUOHTrE9iUiqs3MOGgmGQBGjBScn58vbm5uMmnSJCXtypUrUrduXQEgOTk5cuLECbG2thYAsmzZMjl8+LC8/fbbcvv2bXF1dZWPP/5Y2TYlJUVcXV2lY8eOcvfuXYmIiJBGjRoJAJk+fbocP35ctm3bJjY2NgJAoqKiJCMjo9x80tPTRUTExcWlxMi2xdMAiFqtrlC76ctj7969Ym1tLfv3769wHlqOjo7SokWLJ6p9OTKxYYz5/dKTi7+nmoHfkIUz5oS7bt06ASAXLlzQSXd1ddX5MXbp0kUAyN27d5W0hQsXCgBJSkrS2XbLli0CQAIDA3XyyszMVNbRTqcwZswYg/MpbWqB4mlVGTCJFAWYlc1DRMTJyUnatGmj/P0ktK/2BM8PP/yY7kOWrS6o1jh06BAAoEOHDjrpderoPnnVPpaxs7NT0qKiogCgxGux2lnPT5w4oZOXtbW1so6npydmzpyJS5cuKRN96svHElhZWVU6j7y8PCQn/3/27j0uqnLtH/9nBDwhingAVHwUjMYaS/OrpqiYJZi6MdsKpqhYqVufPCIome62W8pDij1I9WSmaZpgmimY5TF7EA87q70zBQsRDyCIosj5cP3+4DcrBgZnBgZnwM/79eJV3Guta13rZuFcrK7syKgAACAASURBVHWve93Uefv7o9S/0dHRD3V/9U1AQADmzZuH/v37WzoVsmIJCQlYv369pdMgA1gwNSDXr18HAGRlZaFjx44mbav9oE5JScGTTz6ptDs7OwMAWrVqVe222ifJ3NzclLfO1yROfXT06FEUFRXh+eeff+B6DbV/+Y7DBwsICED//v3ZT2QQCybrx0HfDYharQYAxMXFmbyt9gpF5W21MypXvIJSWVZWlrKOsXG0V2G0Ez+KSJXZyFUqFUpKSkw+FmPVdm6qoqIivPnmm+jVqxfmzJnzwHUfxf4lImpQLH1PkB4MMH4M088//yy2trbSpk0bOXjwoOTl5cnRo0elZcuWAkAuX74sIiJdunQRAHL//n1l27y8PNFoNNKpUyed8TFz584VLy8vKS4uFpE/x8FUHP/z2WefSe/evaW4uNjoOGPGjBEAsnTpUrl06ZJERESIk5OTAJCDBw9KaWmpdOvWTezt7SU1NbVGfZeXlycA5LHHHquyLDY2Vlq0aCHffPONUTG6dOmi037u3DkZPHiwdO3aVX777TedZY9C/3KQqnFM+f2lRxd/n+oH3pJrQJ5++mkcPXoUYWFhGDduHNq1a4fp06ejZ8+eeOKJJ/Drr7/is88+Q0pKCgBgwYIFmDlzJnr27IlmzZohISEB//znPzFlyhT06NEDNjY2aNOmDY4ePQpbW91TZf369QgKCkJZWRnS0tLw/fffw9bWFra2tkbFWbVqFW7cuIF169bh9OnT2LBhA/bs2YMuXbogOzsbJSUlGDduHLZs2YKzZ8+aPAnl8ePH8cUXXwAov321Zs0a+Pj44OmnnwZQPhFly5YtdSakrCw+Ph6bN29WYjz33HNo0qQJmjRpAjs7OwQEBGDKlCmwt7cHUP529LVr1z4S/UtE9KhRiYhYOgmqnkqlQnR0tNWMgejevTsuXrwInjZ1o770b0xMDAICAqw+T0uztt9fsk78faofOIaJ6g3tS3Af9JWYmGjpNImIqAHiLTkyiXbW8NzcXOVW1MPyKPz1Zcn+JSLg8uXL2L9/PwoLCzFmzBh069bN0imRleAVJjJKbm4ulixZojyNNWfOHJw6dcrCWTUc7F+q7NKlS1i7di1iYmLQs2dPqFQqaDQa5Ofn66x35MgRDB8+HCqVCn369EFMTIyFMjZs27Zt8PPzQ1hYGIYOHYpZs2Ypr/SxZCyg/BVCs2fPxrBhw/DUU08hJCSk2mIpMjJSeRIVKH/idvHixcrULtRAWXDAORkBfMqGrJCln+q5evVqvYhd09/f48ePy4QJE6SoqEhERO7evavMBj19+vQq66ekpAgASUxMrHXOdeWjjz4SAHLgwAERETl//rwAkJdeesmisUTKXy/0zDPPiKenp2RmZj5w3bNnzyqvP6ro9u3b8vLLL0tycrLJ+7f07xMZh1eYiKheSUlJwYQJE+pdbGNduHABkydPRmRkJOzs7AAALVu2BFA+n9fHH39c5SqSdqLarl27PtxkTbB161YAQJ8+fQAATzzxBNq3b48jR45YNBYABAUF4ZdffsHWrVvRtm3batfLzs7G3r179T5V2rp1a/z973+Hn5+fcmudGhYWTERUb1y/fh2jRo1CZmZmvYptLBFBYGAgpk6dCicnpyrLo6Oj4erqimnTpuHy5ctKu3Y6CW2BZY20x3P8+HEA5behs7KyMHToUIvGio2NxYEDB+Dr64t+/fo9cN0VK1YgNDRU53ZcRU899RQ8PDwQEhJich5k/VgwEdFDce/ePSxatAhhYWEIDg6Gr68vgoODlXEnGzduRKNGjZQPo5ycHKxbt06nbcuWLTh//jzS09Mxc+ZMAMCpU6ewcOFCdO3aFTdv3sTYsWPRpk0b9OjRA3v27KlVbAA4duwY3NzccOLEiTrvo3379uHcuXMYPny43uUuLi6IiYlBXl4eAgICUFxcXG0sQ/29b98+zJgxA25ubsjOzkZQUBDatm2LHj164Mcff1TiFBQUYPXq1Xj99dfRp08fDBs2DL/++qvJxxYREQEPDw/MmzcPqamp2LBhA0JCQrBjxw6Lxvrss88AAJ07d4a3tzccHBzQu3fvKrPpR0ZGwt/fX7naVx1fX19s3LgRycnJJudCVs7S9wTpwcAxTGSFTB1zkZOTI56envL2228rbRkZGeLp6Snu7u6SnZ0tIiIeHh5V4lZuAyBqtVpEREpLSyU2NlaaNWsmAGT27Nly4sQJ2bFjhzg4OAgAiY+Pr1Fsra+//lqaN28u+/fvN/p4K8Yz5ff3lVdeEZVKpczYXjmWVkREhACQhQsX6l1uTH9fu3ZNWrRoIQAkPDxcrly5Ip9//rkAkH79+inbTZs2TS5evKh87+PjI87OznLv3j2jj0srMzNTvLy8pFOnTrJgwQKTt6+LWNqZ+deuXStpaWly6tQpcXNzE5VKJWfOnBERkYSEBFm3bp2yjXZGfn1++uknASDvvvuu0TlwDFP9wJ+QlWPBRNbI1H/glyxZIgB0XuciIrJ161YBIKGhoSKi/4Oocpu+osbT01MASG5urtK2fv16ASDjx4+vVWwR0XlVjSlM/f3t0qWLODo6VhurIn9/f1GpVBIXF1dlubH9/fjjj1eJ6+zsLE2aNBERkdOnTyuDzSt/xcbGGn1cWleuXJFRo0bJiy++KAAkJCREysrKTI5jzlhNmzYVV1dXnTZt4RgYGChZWVny6quv6sR+UMF048YNASAjRowwOgcWTPUDb8kRUZ2Lj48HADg4OOi0a18mfPLkyVrFb9So/J+y5s2bK21+fn4Ayh/Pry0bG5taxzBGeno6WrdubdS6mzZtglqtRlBQEG7cuKGzzNj+1jcWp3Xr1igsLAQAnD17FhqNBlL+x7XO18iRI006tjNnzqB3796YMmUK9u7dCy8vL6xZswbLli0zKY65Y7m4uFQZ+/Xcc88BABITEzFz5kwEBgYiKSkJiYmJSExMVPonMTGxyq03R0dHAMDNmzdNzoWsGwsmIqpz2oJG+549LWdnZwBAq1atzL7PDh06AEC9ek+ejY0NSktLjVq3RYsW2LNnD/Lz8xEYGKizzFz9nZWVheTkZOTl5VVZVlZWZlQMrbCwMNy6dQtDhgxB48aNsXPnTgDAxx9/bFIcc8d67LHHkJGRodOmfVLOyckJ+/btw9ChQ6FWq5Uv7YB7tVoNX19fnW2rGxBO9R8LJiKqc9orG5UH0mon6nzhhRcA/PlhU1RUBKD8qbG7d+/qbKNSqVBSUmJwn1lZWWaLbWwRU1uurq56J1/UFieVixS1Wo1PP/0Ux44d02k3tr8NUavVyMvLw6pVq3TaL1y4gA0bNhgVQ0vb740bNwYAdOrUCc7OzjUqMMwZa8KECSgoKMDPP/+stN26dQsA0LdvX+Tn51e5uqZWqwGUn0OVr2DeuXMHQPmVK2pYWDARUZ0LDQ2FRqNBZGQk0tPTlfaoqCh4eXnhjTfeAADlg2jFihX4/fff8f777yu3P7799luUlZXBw8MDaWlpyod/RRULm8OHD6N3796YMWNGrWLHxcXB0dERBw8eNGeX6OXt7Y2cnBzcv39fp117BUTfbZ5x48Zh/vz5Om3G9ndBQUGVeDk5OQCAkpISjB49Gu7u7li+fDlee+017NixA0uXLsW8efMwdepUAMDatWvx5JNPKld5qqOd3+rAgQMAgNTUVNy8eRPjx49X1rFErEmTJkGj0WDNmjVK21dffQUXFxcsWLDggdvqoy22Bg4caPK2ZOUsM3SKjAUO+iYrVJNBqjk5ORIaGio+Pj4SHBwsoaGhsnz5ciksLFTWSUpKkn79+om9vb34+PhIUlKSDBo0SCZNmiQ7d+6UwsJCCQsLE1dXV9m9e7eynXYQ7nvvvSe3bt2SjIwMWblypdy/f7/WsQ8dOiQdOnSQo0ePmtxPpv7+fv/99wJAvvvuO6Vtz549MmLECAEgo0aNkh9++KHKdsXFxTJw4ECdNkP9HRUVpQzgXrFihdy9e1cZKA9AFi9eLPn5+ZKSkiJ+fn7i5OQkLi4uMn36dJ3ZsGfNmiWNGjWSjh07Gjy+qKgo6du3rwQHB8uYMWNk2bJlUlBQYPFYd+7ckVdffVUmT54sb731lgQGBsq1a9eqXf9Bg74//PBDsbGxkT/++MPgfrU46Lt+UIk8Am80rcdUKhWio6Ph7+9v6VSIFDExMQgICLCaFyJ3794dFy9etJp8tGry+zty5Eh4enoiIiKiDjMzr6SkJEyePNks7z+01ljG8vPzg4uLi0njqazt94n04y05IiIrsnnzZhw4cKDePGWVl5eHyMhIfPLJJw02lrFOnz6NpKQkrF279qHtkx4eFkxEVO9p393VEN7h1b59e+zevRvz58/X+3SatUlOTsY777wDjUbTYGMZIy0tDeHh4Th8+HCV6RyoYWDBRET1Vm5uLpYsWaIM0p4zZ85Dvf1SVzQaDcLDwxEVFWXpVAzSaDRmKxCsNZYhJSUl2Lp1K7Zv345OnTo9lH3Sw2dr6QSIiGrK3t4e4eHhCA8Pt3QqZte1a1e+xLWesLW1xaJFiyydBtUxXmEiIiIiMoAFExEREZEBLJiIiIiIDGDBRERERGQAB33XAwkJCZZOgUiH9pyMiYmxcCbWj7+/ZAjPkfqBM31bOb75mojo0cCPY+vGK0xWjr9A9KjRvkaEV6+IyJpwDBMRERGRASyYiIiIiAxgwURERERkAAsmIiIiIgNYMBEREREZwIKJiIiIyAAWTEREREQGsGAiIiIiMoAFExEREZEBLJiIiIiIDGDBRERERGQACyYiIiIiA1gwERERERnAgomIiIjIABZMRERERAawYCIiIiIygAUTERERkQEsmIiIiIgMYMFEREREZAALJiIiIiIDWDARERERGcCCiYiIiMgAFkxEREREBrBgIiIiIjKABRMRERGRASyYiIiIiAxgwURERERkAAsmIiIiIgNYMBEREREZwIKJiIiIyAAWTEREREQGsGAiIiIiMoAFExEREZEBKhERSydBRI+m7du3Y9OmTSgrK1PaLl++DADo2rWr0taoUSO89tprmDhx4kPPkYgIYMFERBb073//G08//bRR6/7yyy946qmn6jgjIiL9WDARkUWp1WokJiY+cJ1u3brh0qVLDykjIqKqOIaJiCxq0qRJsLOzq3a5nZ0dpk6d+hAzIiKqileYiMiikpOT0a1bNzzon6JLly6hW7duDzErIiJdvMJERBbl7u6OZ555BiqVqsoylUqF//f//h+LJSKyOBZMRGRxkydPho2NTZV2GxsbTJ482QIZERHp4i05IrK4jIwMuLq66kwvAJRPJ3Djxg04OztbKDMionK8wkREFte+fXt4e3vrXGWysbHBkCFDWCwRkVVgwUREVmHSpElVBn5PmjTJQtkQEeniLTkisgr37t1Du3btUFRUBKB8OoGMjAw4OjpaODMiIl5hIiIr0bJlSwwfPhy2trawtbXFiBEjWCwRkdVgwUREViMwMBClpaUoLS3le+OIyKrwlhwRWY2CggK0bdsWIoJbt26hWbNmlk6JiAgACyarExMTg4CAAEunQUREFhQdHQ1/f39Lp0EV2Fo6AdIvOjra0ikQISEhAevXr3+o5+PPP/8MlUqFp59++qHts7YCAgIwb9489O/f39KpUAPAP5qtEwsmK8W/LMharF+//qGejy+//DIAwNa2/vzzFBAQgP79+/P3lsyCBZN1qj//IhHRI6E+FUpE9OjgU3JEREREBrBgIiIiIjKABRMRERGRASyYiIiIiAzg6EoiIiIAly9fxv79+1FYWIgxY8agW7dulk6JrAivMBHRQ/Hss88iNDTU0mnUC5cuXcLatWsRExODnj17QqVSQaPRID8/X2e9I0eOYPjw4VCpVOjTpw9iYmIslLFh27Ztg5+fH8LCwjB06FDMmjUL2dnZFo8FADk5OZg9ezaGDRuGp556CiEhIdUWS5GRkVCpVMr3paWlWLx4Ma5fv17j/VM9IWRVoqOjhT8WshbmPB/Hjx8vS5cuNUusmrh69WqdxQYg0dHRZol1/PhxmTBhghQVFYmIyN27dwWAAJDp06dXWT8lJUUASGJioln2Xxc++ugjASAHDhwQEZHz588LAHnppZcsGktEJCMjQ5555hnx9PSUzMzMB6579uxZad68eZXfidu3b8vLL78sycnJNcqhMnOeT2Q+/GS2MiyYyJo0lPPx8uXLMmjQoDqLb64PuN9++006d+4sWVlZVeIPHjxY736Ki4sFgFJgWaMBAwYIAJ2CpH379uLg4GDRWCIiI0aMEBsbGzl16tQD17tz544sWbJEHn/8cb2/E7/88otoNBq5f/9+jfKoiAWTdeItOSJq0K5fv45Ro0YhMzPT0qk8kIggMDAQU6dOhZOTU5Xl0dHRcHV1xbRp03D58mWlXTvRp52d3UPL1VTa4zl+/DgAIDc3F1lZWRg6dKhFY8XGxuLAgQPw9fVFv379HrjuihUrEBoaqnM7rqKnnnoKHh4eCAkJMTkPqh9YMBFRnSorK8OuXbsQFBQEb29vAMC+ffswY8YMuLm5ITs7G0FBQWjbti169OiBH3/8EQBw6tQpLFy4EF27dsXNmzcxduxYtGnTBj169MCePXsAABs3bkSjRo2UD7GcnBysW7dOp23Lli04f/480tPTMXPmTCWvY8eOwc3NDSdOnHiY3VGtffv24dy5cxg+fLje5S4uLoiJiUFeXh4CAgJQXFxcbax79+5h0aJFCAsLQ3BwMHx9fREcHKyM8zGm/wGgoKAAq1evxuuvv44+ffpg2LBh+PXXX00+toiICHh4eGDevHlITU3Fhg0bEBISgh07dlg01meffQYA6Ny5M7y9veHg4IDevXsjLi5OZ73IyEj4+/ujZcuWD4zn6+uLjRs3Ijk52eRcqB6w9CUu0tVQboFQw2Cu8zE1NVUAiFqtFhGRa9euSYsWLQSAhIeHy5UrV+Tzzz8XANKvXz8pLS2V2NhYadasmQCQ2bNny4kTJ2THjh3i4OAgACQ+Pl5ERDw8PKrkWLmt4r61vv76a2nevLns37+/1scHM9xCeeWVV0SlUklxcbHe+FoRERECQBYuXKh3eU5Ojnh6esrbb7+ttGVkZIinp6e4u7tLdna2wf7XmjZtmly8eFH53sfHR5ydneXevXsmH19mZqZ4eXlJp06dZMGCBSZvXxexunTpIgBk7dq1kpaWJqdOnRI3NzdRqVRy5swZERFJSEiQdevWKduo1epqfyd++uknASDvvvtujXMS4S05a8VPZivDgomsiTnPx8pFi76xIM7OztKkSRPle09PTwEgubm5Stv69esFgIwfP15E9H+AVW7TVzCJiJSUlNTuoCrEr+0HXJcuXcTR0bHa+BX5+/uLSqWSuLi4KsuXLFkiACQtLU1nm61btwoACQ0NFRHD/X/69GllsHnlr9jYWJOP78qVKzJq1Ch58cUXBYCEhIRIWVmZyXHMGatp06bi6uqq06YtHAMDAyUrK0teffVVndgPKphu3LghAGTEiBEm51IRCybrxFtyRGQR+saCtG7dGoWFhcr3jRqV/xPVvHlzpc3Pzw9A+aP3tWVjY1PrGOaSnp6O1q1bG7Xupk2boFarERQUhBs3bugsi4+PBwA4ODjotA8ePBgAcPLkSQCG+//s2bPQaDSQ8j+sdb5Gjhxp0rGdOXMGvXv3xpQpU7B37154eXlhzZo1WLZsmUlxzB3LxcWlytiv5557DgCQmJiImTNnIjAwEElJSUhMTERiYqLSP4mJiVVuvTk6OgIAbt68aXIuZP1YMBFRvdKhQwcAgJubm4UzMS8bGxuUlpYatW6LFi2wZ88e5OfnIzAwUGeZtshMSUnRaXd2dgYAtGrVyqh9ZGVlITk5GXl5eVWWlZWVGRVDKywsDLdu3cKQIUPQuHFj7Ny5EwDw8ccfmxTH3LEee+wxZGRk6LS1bdsWQPng8n379mHo0KFQq9XKl3bAvVqthq+vr8621Q0Ip4aBBRMR1StZWVkAgBdeeAHAnx9SRUVFAMqfNrt7967ONiqVCiUlJVViGVugPAyurq56J1/UFieVixS1Wo1PP/0Ux44d02nXXkmqPHD56tWrAP7sN0PUajXy8vKwatUqnfYLFy5gw4YNRsXQ0v5sGjduDADo1KkTnJ2da1RgmDPWhAkTUFBQgJ9//llpu3XrFgCgb9++yM/Pr3J1Ta1WAyg/zypf5bxz5w6A8itX1PCwYCKiOnf//n0A5U9vaRUUFFRZLycnBwCqFDcVC5vDhw+jd+/emDFjBgAoH2ArVqzA77//jvfff1+5bfLtt9+irKwMHh4eSEtLU4oGoLygcHR0xMGDB81xiLXm7e2NnJwcpa+0tFdA9N3mGTduHObPn6/TFhoaCo1Gg8jISKSnpyvtUVFR8PLywhtvvAHAcP+PHj0a7u7uWL58OV577TXs2LEDS5cuxbx58zB16lQAwNq1a/Hkk08qV3mqM2HCBADAgQMHAACpqam4efMmxo8fr6xjiViTJk2CRqPBmjVrlLavvvoKLi4uWLBgwQO31UdbbA0cONDkbakesNDYKaoGB32TNTHH+ZibmythYWHKgOF169bJypUrle9XrFghd+/eVQZzA5DFixdLfn6+MsD2vffek1u3bklGRoasXLlSZ3LApKQk6devn9jb24uPj48kJSXJoEGDZNKkSbJz504pLCyUsLAwcXV1ld27dyvbHTp0SDp06CBHjx6t1fGJmGeQ7vfffy8A5LvvvlPa9uzZIyNGjBAAMmrUKPnhhx+qbFdcXCwDBw7UacvJyZHQ0FDx8fGR4OBgCQ0NleXLl0thYaGIiERFRRnV/ykpKeLn5ydOTk7i4uIi06dP15kwctasWdKoUSPp2LGjweOLioqSvn37SnBwsIwZM0aWLVsmBQUFFo91584defXVV2Xy5Mny1ltvSWBgoFy7dq3a9R806PvDDz8UGxsb+eOPPwzu90HMcT6R+alERB52kUbVi4mJQUBAAPhjIWtg6fOxe/fuuHjxotX/PqhUKkRHR8Pf379WcUaOHAlPT09ERESYKbO6l5SUhMmTJ+PUqVMNNpax/Pz84OLiUqPxVBWZ63wi8+ItOSIiK7F582YcOHCg3jxllZeXh8jISHzyyScNNpaxTp8+jaSkJKxdu/ah7ZMeLhZMZDUqD9Qlys3N1flvQ9e+fXvs3r0b8+fP1/t0mrVJTk7GO++8A41G02BjGSMtLQ3h4eE4fPhwlekcqOFgwURmt2nTJvTq1QsODg7o2bMnNm/eXO26hYWFeOeddzBgwAC0adOmVvuNjIys9WO9u3btwl/+8hc888wz8PX1xejRo/HGG29g1apVFn1H1IP69PDhwxgxYgRUKhVUKhWGDh2KoUOHok+fPhg9ejQ2bdqkPFlUX+Tm5mLJkiXKIO05c+Y81FsrlqTRaBAeHo6oqChLp2KQRqMxW4FgrbEMKSkpwdatW7F9+3Z06tTpoeyTLMSiI6ioivo+6Hvx4sUSGBgoUVFRMnfuXOXVFpGRkdVuk5+fL05OTrU67rNnz0rz5s1rHCMzM1Oee+456datm5w+fVppLysrk88//1zatGkjr732Wo3zqw1j+vT69esCQLp27aq0lZWVyf79+8XDw0Mee+wxOX/+vMn7ru/n48MCDtIlM+L5ZJ14hYnM5tq1a7h69Sq2bduGWbNmYf369di7dy8A4P333692u6ZNm6J9+/Y13m92djb27t1b44kMRQQvvfQSfvnlF5w+fRp9+/ZVlqlUKkycOBG7d++2yG0hY/tUO5ljkyZNlDaVSoVRo0bhhx9+wP379+Hn56f3UXIiIjKMBROZzZUrV6oMePTx8UG7du2qzKZrTitWrEBoaGiNb8ft2bMH8fHxWLx4MZycnPSu4+3tjXHjxtUmzRoxR5+6urrin//8J/744w8OSCUiqiEWTA1Abm4uVqxYgUmTJmHu3LkYMmSIztWHe/fuYdGiRQgLC0NwcDB8fX0RHByszCq8b98+zJgxA25ubsjOzkZQUBDatm2LHj164McffwQAfPnll2jTpg1UKhWWLl2qxP7www9hY2ODjRs3wsvLS3n9QkVFRUUYNGiQ8n1+fj6Cg4MxY8YMLF26FG+++WaNr95ERkbC398fLVu21Lv82LFjcHNzw4kTJ6qNsWfPHgDA888//8B9vfzyy8r/W1ufGjJ27FjY2Njgu+++M3obIiKqwNL3BEmXqWNGiouLZciQITJp0iTljdqbN28WALJ//37JyckRT09Pefvtt5VtMjIyxNPTU9zd3SU7O1uuXbsmLVq0EAASHh4uV65cUd7Y3a9fP2W7yMhIASDffPON0paamioTJkyoNr/4+Hhp1qyZnDt3TkTK3w7fr18/mTZtmrLOH3/8Iba2tiaPlUlISJB169Yp3+ubUO7rr7+W5s2by/79+6uN06dPHwEgd+/eNWq/1tanWgBErVZXu52rq6u0adPGqGPU4hgm44BjTsiMeD5ZJ1sL1GhkRpGRkTh+/DgSExOVW1KTJk0CUD49/8qVK5GUlKS8RgIA2rVrh7feeguTJ0/GO++8g1WrVqFjx45ITEzEm2++CQCYOHEigoODdd6xNGPGDKxZswYffvghhg8fDgDYuHFjtU+PlZaW4s0338Snn36KXr16AQA++ugjnD59Glu2bFHWc3d3h7u7O5KSkow+7tu3b2Pjxo0G51nx8/PDvXv3HvhWeu2yvLy8aq9UVWRtfWosW1vbGt+2jImJqdF2j5KEhARLp0BEdYgFUz13/PhxANB5nNXGxgZBQUEAgPj4eACo8oit9gWdJ0+eBKD/LdutW7fWmUDPzs4Oc+fORUhICJKTk+Hm5obExET07NlTb27/+Mc/8Pzzz+u840l7S6hLly4662rfsG6smTNn4m9/+5tOkaV9f1hiYiLsGPjWwwAAIABJREFU7Ozg7u4OAA8slgDgiSeewKlTp3DhwgWjXpppbX1qjOLiYty8edPoF69WFhAQUKPtHiXr16/H+vXrLZ0GEdURjmGq57QfvpXfmq2lLURSUlJ02rXjYlq1amXS/l5//XXY29tjw4YN2Lt3L8aOHat3vdjYWNjb2+uMzQGA69evA/jzjfM1tW/fPgwdOhRqtVr5unz5MoDyl7H6+voaHcvb2xsAjJ7nx9r61BhHjx5FUVGRwXFa1ZFKb2znl+4XAERHR1s8D341jC+yTiyY6rmnn34aABAeHq7zi3blyhV88803ylWPuLg4ne20EwKaesWhZcuWeP311/Hpp58iOjoaY8aMqbLOoUOHcO3aNSxatEinPSEhQXmzfOV8TJWfn1/lHxltbBHRKSArvulen8DAQPTu3Rvvv/8+0tLS9K5TWFiIrVu3AoDV9akhRUVFePPNN9GrVy/MmTPHpNyIiKgcC6Z6bvHixbC3t8euXbvwwgsv4IMPPsCyZcvw7rvvYvjw4QgNDYVGo0FkZCTS09OV7aKiouDl5YU33ngDAPTOz5OTkwOgfCbbiubMmYP79++jV69esLXVvat75MgRrFy5EqWlpYiKikJUVBQ2bNiABQsW4MCBAwgJCYGtrS3efPNNfPvtt8jPz8exY8dw48YNAFWv2tRWXFwcHB0dcfDgwWrXadSoET7//HM0bdoUAwcOxFdffaUUWdr8Ro4ciccffxwArK5PtXnq2+dPP/2EYcOG4c6dO9i+fXuV2EREZBz+61nPde3aFadOncLChQtx5swZJCYmYty4cVi9ejVUKhWaNWuGhIQE/POf/8SUKVPQo0cP2NjYoE2bNjh69ChsbW3xwQcfKIVKeHg4Zs+ejc2bNyu3z5YuXYq///3vaNq0KYDy8UezZ8/GzJkzdXJJSEiAn58f8vLycPToUZ1lKpUKv//+O9zd3XH06FGEhYVh3LhxaNeuHaZPn46ePXviiSeeQHJyMjp37mzymKbqNGnSBC1bttSZ0FEftVqNX3/9FR988AE2bdqE4OBg2Nvbw9bWFiNHjkRMTIwyR5O19Wl8fLzyqpSUlBQ899xzaNKkCZo0aQI7OzsEBARgypQpsLe3r3V/EhE9qlTCG6ZWJSYmBgEBAbyPTVaB56NxVCoVoqOj4e/vb+lUqAHg+WSdeEuOrI72JbIP+kpMTLR0mkRE9AjhLTmyOryaQURE1oZXmIiIiIgMYMFERGRBly5dwtq1axETE4OePXtCpVJBo9EoTz5qHTlyBMOHD4dKpUKfPn2sevb1bdu2wc/PD2FhYRg6dChmzZqlvGfRkrFu3LiBzZs3IyAgAAMGDNC7zqZNm9CrVy84ODigZ8+eygMVxuZUWlqKxYsXKw94UAMiZFX47i6yJpY+H69evVovYqOG7/46fvy4TJgwQYqKikRE5O7duwJAAMj06dOrrJ+SkiIAJDExsdY515WPPvpIAMiBAwdEROT8+fMCQF566SWLxtJKTU2t9r2LixcvlsDAQImKipK5c+dKs2bNBIBERkaalNPt27fl5ZdfluTk5BrlWNPzieoWP5mtjKU/oIgqsuT5ePnyZRk0aFC9iF2TD7jffvtNOnfuLFlZWVViDR48WG/M4uJiAaAUWNZowIABAkAyMzOVtvbt24uDg4NFY1Wkr2C6evWqTJw4Uaft22+/FQDSrVs3k3P65ZdfRKPRyP3792uUHwsm68NbckRkda5fv45Ro0YhMzOzXsU2loggMDAQU6dOVeb3qig6Ohqurq6YNm2a8sofAMrEo3Z2dg8tV1Npj0f7nsvc3FxkZWVh6NChFo1lyJUrV7B27VqdNh8fH7Rr1w4ZGRkm5/TUU0/Bw8Oj2hdpU/3DgomIzOrevXtYtGgRwsLCEBwcDF9fXwQHBytjPDZu3IhGjRopLyfOycnBunXrdNq2bNmC8+fPIz09XZnMUztBa9euXXHz5k2MHTsWbdq0QY8ePbBnz55axQaAY8eOwc3NDSdOnKjzPtq3bx/OnTuH4cOH613u4uKCmJgY5OXlISAgAMXFxdXGMtTf+/btw4wZM+Dm5obs7GwEBQWhbdu26NGjB3788UclTkFBAVavXo3XX38dffr0wbBhw/Drr7+afGwRERHw8PDAvHnzkJqaig0bNiAkJAQ7duywaCxDvLy8lPdBVlRUVIRBgwbVKCdfX19s3LgRycnJZs+XLMDSl7hIF2/JkTUx9XzMyckRT09Pefvtt5W2jIwM8fT0FHd3d8nOzhYREQ8PjypxK7ehwm2T0tJSiY2NVcaUzJ49W06cOCE7duwQBwcHASDx8fE1iq319ddfS/PmzWX//v1GH2/FeKbcQnnllVdEpVJJcXGx3lhaERERAkAWLlyod7kx/X3t2jVp0aKFAJDw8HC5cuWKfP755wJA+vXrp2w3bdo0uXjxovK9j4+PODs7y71794w+Lq3MzEzx8vKSTp06yYIFC0zevq5iaen7+esTHx8vzZo1k3PnztUop59++kkAyLvvvmtyfrwlZ334yWxlWDCRNTH1fFyyZIkAkLS0NJ32rVu3CgAJDQ0VERG1Wl0lbuU2fR9qnp6eAkByc3OVtvXr1wsAGT9+fK1ii4iUlJQYfawVmfoB16VLF3F0dKw2VkX+/v6iUqkkLi6uynJj+/vxxx+vEtfZ2VmaNGkiIiKnT59WBptX/oqNjTX6uLSuXLkio0aNkhdffFEASEhIiJSVlZkcx9yxtIwpmEpKSsTb21u++OKLGud048YNASAjRowwOT8WTNaHt+SIyGzi4+MBAA4ODjrtgwcPBgCcPHmyVvG17xhs3ry50ubn5weg/PH82rKxsal1DGOkp6ejdevWRq27adMmqNVqBAUFKS+p1jK2v7W3Iytq3bo1CgsLAQBnz56FRqOBlP8RrfM1cuRIk47tzJkz6N27N6ZMmYK9e/fCy8sLa9aswbJly0yKY+5YpvrHP/6B559/HuPHj69xTo6OjgCAmzdv1nm+VPdYMBGR2WgLGu2Lh7W0Y0NatWpl9n126NABAODm5mb22HXFxsYGpaWlRq3bokUL7NmzB/n5+QgMDNRZZq7+zsrKQnJyMvLy8qosKysrMyqGVlhYGG7duoUhQ4agcePG2LlzJwDg448/NimOuWOZIjY2Fvb29li6dGmtctJXqFL9xYKJiMxGe2UjLi5Op/3q1asAgBdeeAHAnx8kRUVFAMqfGrt7967ONiqVCiUlJQb3mZWVZbbYxhYxteXq6qp38kVtcVK5SFGr1fj0009x7NgxnXZj+9sQtVqNvLw8rFq1Sqf9woUL2LBhg1ExtLT93rhxYwBAp06d4OzsXKPiwZyxjHXo0CFcu3YNixYt0mlPSEgwOac7d+4AKB/ET/UfCyYiMpvQ0FBoNBpERkYiPT1daY+KioKXlxfeeOMNAOUf0ACwYsUK/P7773j//feV20PffvstysrK4OHhgbS0NOXDv6KKhc3hw4fRu3dvzJgxo1ax4+Li4OjoiIMHD5qzS/Ty9vZGTk4O7t+/r9OufXxd3y2ccePGYf78+TptxvZ3QUFBlXg5OTkAgJKSEowePRru7u5Yvnw5XnvtNezYsQNLly7FvHnzMHXqVADA2rVr8eSTTypXVKozYcIEAMCBAwcAAKmpqbh586bOrS1LxNLSzqCurzg+cuQIVq5cidLSUkRFRSEqKgobNmzAggULlByMyUnr1q1bAICBAwcalRtZOQuOnyI9OOibrElNzsecnBwJDQ0VHx8fCQ4OltDQUFm+fLkUFhYq6yQlJUm/fv3E3t5efHx8JCkpSQYNGiSTJk2SnTt3SmFhoYSFhYmrq6vs3r1b2U47ePu9996TW7duSUZGhqxcuVJncsCaxj506JB06NBBjh49anI/wcRBut9//70AkO+++05p27Nnj4wYMUIAyKhRo+SHH36osl1xcbEMHDhQp81Qf0dFRSkDuFesWCF3795VBsoDkMWLF0t+fr6kpKSIn5+fODk5iYuLi0yfPl1ncsZZs2ZJo0aNpGPHjgaPLyoqSvr27SvBwcEyZswYWbZsmRQUFFg81rFjx2T69OkCQOzs7GT16tXy888/i4jIyZMnpXnz5noHvqtUKvnjjz+Mzknrww8/FBsbG51tjWHq+UQPh0qEr4a3JjExMQgICAB/LGQNrO187N69Oy5evGg1+WipVCpER0fD39/f6G1GjhwJT09PRERE1GFm5pWUlITJkyfj1KlTDTaWOfn5+cHFxcXkMVc1OZ+o7vGWHBGRBWzevBkHDhyoN09Q5eXlITIyEp988kmDjWVOp0+fRlJSUpXZw6n+YsFERPVGbm6uzn/rs/bt22P37t2YP3++3qfTrE1ycjLeeecdaDSaBhvLXNLS0hAeHo7Dhw9XmfKB6i8WTERk9XJzc7FkyRJlkPacOXOs7vZLTWg0GoSHhyMqKsrSqRik0WjM9uFvrbHMoaSkBFu3bsX27dvRqVMnS6dDZmRr6QSIiAyxt7dHeHg4wsPDLZ2K2XXt2pUvaG1AbG1tq0xJQA0DrzARERERGcCCiYiIiMgAFkxEREREBrBgIiIiIjKAg76t1Lhx4yydAhGuXbsGgOejMSIiIrBr1y5Lp0FEdYQzfVuZhIQErFu3ztJpEFnMTz/9BADo1auXhTMhspwFCxagf//+lk6DKmDBRERWRfs6iJiYGAtnQkT0J45hIiIiIjKABRMRERGRASyYiIiIiAxgwURERERkAAsmIiIiIgNYMBEREREZwIKJiIiIyAAWTEREREQGsGAiIiIiMoAFExEREZEBLJiIiIiIDGDBRERERGQACyYiIiIiA1gwERERERnAgomIiIjIABZMRERERAawYCIiIiIygAUTERERkQEsmIiIiIgMYMFEREREZAALJiIiIiIDWDARERERGcCCiYiIiMgAFkxEREREBrBgIiIiIjKABRMRERGRASyYiIiIiAxgwURERERkAAsmIiIiIgNYMBEREREZwIKJiIiIyAAWTEREREQG2Fo6ASJ6dOXl5aGwsFCnraioCABw584dnfYmTZqgefPmDy03IqKKVCIilk6CiB5NH3zwAf77v//bqHWjoqIwa9asOs6IiEg/FkxEZDGZmZlwdXVFaWnpA9ezsbFBWloa2rVr95AyIyLSxTFMRGQx7dq1w/PPPw8bG5tq17GxscELL7zAYomILIoFExFZVGBgIB50oVtEEBgY+BAzIiKqirfkiMiicnJy0K5duyqDv7UaN26MzMxMtGzZ8iFnRkT0J15hIiKLcnBwwF/+8hfY2dlVWWZra4vRo0ezWCIii2PBREQWN3HiRJSUlFRpLy0txcSJEy2QERGRLt6SIyKLKyoqQtu2bZGTk6PT3qJFC9y6dQtNmjSxUGZEROV4hYmILK5x48YYN24cGjdurLTZ2dkhICCAxRIRWQUWTERkFSZMmKDM8g0AxcXFmDBhggUzIiL6E2/JEZFVKCsrg4uLCzIzMwEAbdu2RXp6+gPnaCIielh4hYmIrEKjRo0wYcIENG7cGHZ2dpg4cSKLJSKyGiyYiMhqvPLKKygqKuLtOCKyOrbGrJSQkICrV6/WdS5E9IgTEbRp0wYAcPnyZaSkpFg2ISJq8Nzc3NC/f3+D6xk1hmncuHH48ssvzZIYERERkbUYO3Ysdu3aZXA9o64wmRKQiKg2fvvtNwDAE088YeFMHj6VSoXo6Gj4+/tbOhWrNW7cOADg5xGZhfZ8MobRBRMR0cPwKBZKRGT9OOibiIiIyAAWTEREREQGsGAiIiIiMoAFExEREZEBLJiIiIiIDGDBRERERGQACyYiogbm2WefRWhoqKXTsEqXLl3C2rVrERMTg549e0KlUkGj0SA/P19nvSNHjmD48OFQqVTo06cPYmJiLJSxYdu2bYOfnx/CwsIwdOhQzJo1C9nZ2RaPdePGDWzevBkBAQEYMGCA3nU2bdqEXr16wcHBAT179sTmzZtNyqm0tBSLFy/G9evXa5SjScQIY8eOlbFjxxqzKhER1RAAiY6OrnWc8ePHy9KlS82QUc1cvXq1zmLX5vPo+PHjMmHCBCkqKhIRkbt37woAASDTp0+vsn5KSooAkMTExFrlXJc++ugjASAHDhwQEZHz588LAHnppZcsGksrNTVVAIhara6ybPHixRIYGChRUVEyd+5cadasmQCQyMhIk3K6ffu2vPzyy5KcnGxyfqacTyyYiIishLkKJku6fPmyDBo0qM7i1/Tz6LfffpPOnTtLVlaWTjsAGTx4sN6+Ly4uFgBKgWWNBgwYIAAkMzNTaWvfvr04ODhYNFZF+gqmq1evysSJE3Xavv32WwEg3bp1MzmnX375RTQajdy/f9+k3Ew5n3hLjoiIzOL69esYNWoUMjMzLZ2KDhFBYGAgpk6dCicnpyrLo6Oj4erqimnTpuHy5ctKu61t+csw7OzsHlquptIez/HjxwEAubm5yMrKwtChQy0ay5ArV65g7dq1Om0+Pj5o164dMjIyTM7pqaeegoeHB0JCQsyeqxYLJiKiBqKsrAy7du1CUFAQvL29AQD79u3DjBkz4ObmhuzsbAQFBaFt27bo0aMHfvzxRwDAqVOnsHDhQnTt2hU3b97E2LFj0aZNG/To0QN79uwBAGzcuBGNGjWCSqUCAOTk5GDdunU6bVu2bMH58+eRnp6OmTNnKnkdO3YMbm5uOHHixMPsDsW+fftw7tw5DB8+XO9yFxcXxMTEIC8vDwEBASguLq421r1797Bo0SKEhYUhODgYvr6+CA4OVsbUGNPfAFBQUIDVq1fj9ddfR58+fTBs2DD8+uuvJh9bREQEPDw8MG/ePKSmpmLDhg0ICQnBjh07LBrLEC8vLzg7O1dpLyoqwqBBg2qUk6+vLzZu3Ijk5GSz5wuAY5iIiKwFzHBLrvKYkWvXrkmLFi0EgISHh8uVK1fk888/FwDSr18/KS0tldjYWGX8yOzZs+XEiROyY8cOcXBwEAASHx8vIiIeHh5S+WOjchv03H75+uuvpXnz5rJ///5aHZtIzT6PXnnlFVGpVFJcXFxlWcXcIyIiBIAsXLhQ7/KcnBzx9PSUt99+W2nLyMgQT09PcXd3l+zsbIP9rTVt2jS5ePGi8r2Pj484OzvLvXv3TDo2EZHMzEzx8vKSTp06yYIFC0zevq5iaek7J/SJj4+XZs2ayblz52qU008//SQA5N133zU6N45hIiKqh8xRMGnjVPyAevzxx6sUOs7OztKkSRPle09PTwEgubm5Stv69esFgIwfP15ERNRqdZU4lduq+3AsKSmp3UH9/2ryedSlSxdxdHTUu6zy8fj7+4tKpZK4uLgqy5csWSIAJC0tTWebrVu3CgAJDQ0VEcP9ffr0aWWweeWv2NhYk45NROTKlSsyatQoefHFFwWAhISESFlZmclxzB1Ly5iCqaSkRLy9veWLL76ocU43btwQADJixAijc+MYJiIiUmhvmVXUunVrFBYWKt83alT+cdC8eXOlzc/PD0D5o/i1ZWNjU+sYNZWeno7WrVsbte6mTZugVqsRFBSEGzdu6CyLj48HADg4OOi0Dx48GABw8uRJAIb7++zZs9BoNJDyixY6XyNHjjTp2M6cOYPevXtjypQp2Lt3L7y8vLBmzRosW7bMpDjmjmWqf/zjH3j++ecxfvz4Gufk6OgIALh582ad5MiCiYiI9OrQoQMAwM3NzcKZ1I6NjQ1KS0uNWrdFixbYs2cP8vPzERgYqLNMW1SmpKTotGvH4rRq1cqofWRlZSE5ORl5eXlVlpWVlRkVQyssLAy3bt3CkCFD0LhxY+zcuRMA8PHHH5sUx9yxTBEbGwt7e3ssXbq0VjnpK1TNiQUTERHplZWVBQB44YUXAPz5gVRUVASg/Omzu3fv6myjUqlQUlJSJZaxBUtdcHV11Tv5orY4qVykqNVqfPrppzh27JhOu/ZKUlxcnE771atXAfzZT4ao1Wrk5eVh1apVOu0XLlzAhg0bjIqhpf1ZNG7cGADQqVMnODs716h4MGcsYx06dAjXrl3DokWLdNoTEhJMzunOnTsAygfx1wUWTEREDcj9+/cBlD/NpVVQUFBlvZycHACoUtxULGwOHz6M3r17Y8aMGQDKP+gBYMWKFfj999/x/vvvK7eZvv32W5SVlcHDwwNpaWlKEQGUFxiOjo44ePCgOQ7RZN7e3sjJyVH6Rkv7+Lq+Wzjjxo3D/PnzddpCQ0Oh0WgQGRmJ9PR0pT0qKgpeXl544403ABju79GjR8Pd3R3Lly/Ha6+9hh07dmDp0qWYN28epk6dCgBYu3YtnnzySeWKSnUmTJgAADhw4AAAIDU1FTdv3tS5tWWJWFraGdT1FcxHjhzBypUrUVpaiqioKERFRWHDhg1YsGCBkoMxOWndunULADBw4ECjcjOZuQdFERFRzaCWg75zc3MlLCxMGUC8bt06WblypfL9ihUr5O7du8pgbgCyePFiyc/PVwZvv/fee3Lr1i3JyMiQlStX6kwEmJSUJP369RN7e3vx8fGRpKQkGTRokEyaNEl27twphYWFEhYWJq6urrJ7925lu0OHDkmHDh3k6NGjteofkZp9Hn3//fcCQL777julbc+ePTJixAgBIKNGjZIffvihynbFxcUycOBAnbacnBwJDQ0VHx8fCQ4OltDQUFm+fLkUFhaKiEhUVJRR/Z2SkiJ+fn7i5OQkLi4uMn36dJ3JGWfNmiWNGjWSjh07Gjy+qKgo6du3rwQHB8uYMWNk2bJlUlBQYPFYx44dk+nTpwsAsbOzk9WrV8vPP/8sIiInT56U5s2b6x34rlKp5I8//jA6J60PP/xQbGxsdLY1xJTzSSUiYqioGjduHABg165dZi3WiIjoTyqVCtHR0fD393/o++7evTsuXrwIIz4SLKqmn0cjR46Ep6cnIiIi6iKtOpGUlITJkyfj1KlTDTaWOfn5+cHFxcWkMVemnE+8JUdERA3e5s2bceDAgTp7gsrc8vLyEBkZiU8++aTBxjKn06dPIykpqcrs4eZUpwVTxXvoD5Ol9mstMjIysGvXLrzzzjuWToXM4FE6n3nuWk5ubq7Ofxua9u3bY/fu3Zg/f77ep9OsTXJyMt555x1oNJoGG8tc0tLSEB4ejsOHD1eZ8sGczF4wlZaWYtWqVRg0aBDatGlj7vAP9N5778Hb2/uh79eaXLx4EcuXL4e/vz+2bdums+zZZ59FaGhonefwsPZjjMjIyBo94TF37ly0bdsWKpUKdnZ2+Mtf/oLhw4ejT58+GD58OL788ss6yFaXMedzTEwMevbsCZVKBY1Gowyw1Dpy5AiGDx8OlUqFPn36ICYmpq7TrjGeu5aRm5uLJUuWKIO058yZY3W3WsxFo9EgPDwcUVFRlk7FII1GY7YPf2uNZQ4lJSXYunUrtm/fjk6dOtXtzsw9KEpEJD8/X5ycnKrMdFoTV69eNXrdgoICadOmjVn2W58VFBTonVl1/PjxsnTpUrPuS9/Ppy72UxNnz55VBhXWRFpamgAQT09Ppa2wsFDmzZunDI41VV2cz3fv3lUGS06fPr3K8pSUFAEgiYmJJuf7sD3q5y7MNNN3Q8aHkMicLD7Td9OmTdG+fftax0lJSVEeKTRGkyZN0K5du1rvt75r0qSJ3vYvvvgCy5cvN9t+qvv5mHs/NZGdnY29e/fWasI97Vwe2snqgPK5QNasWYNmzZrhgw8+MCleXZ3PLVu2BFA+R8zHH39c5SpSx44dAQBdu3Y1IVvL4LlLRNbKagd9X79+HaNGjUJmZqalUyE9rP3ns2LFCoSGhtbJhGu2trZwcHAwaWzRw+iv6OhouLq6Ytq0abh8+bLSbmtrCwCws7Ors33XJ9Z+7hKRdarzgun333+Hn58fnJyc0LdvXxw/flxZdunSJYwbNw6LFy/G5MmTMXjwYPznP/8BAGzZsgXnz59Heno6Zs6cqWyTm5uLFStWYNKkSZg7dy6GDBmC999/v8p+MzMzMXbsWLRp0wYajQb/+te/jM553759mDFjBtzc3JCdnY2goCC0bdsWPXr0wI8//qisd+/ePSxatAhhYWEIDg6Gr68vgoODkZ2djbKyMnz//feYP38+unbtihs3bmDIkCH4r//6L9y4cQPbt2/HhAkT4OXlhVOnTuGZZ55Bly5dEB8fj6SkJIwZMwbt2rVD9+7ddfZpqN/0KSsrw65duxAUFARvb2+l3cnJCePHj8f8+fMxf/58uLi4wMbGBmfPnq3Rz6e6/Tyon0zpb2NFRkbC399fufJS2bFjx+Dm5oYTJ06YHBsAvvzyS2RkZODVV1/Vabf0+ezi4oKYmBjk5eUhICAAxcXF1R4Dz13rPHeJyIqZ+x6flnYStHnz5smhQ4fkf//3f8Xe3l5sbGzk3//+t4iIPPbYY+Lh4SEi5ROEOTo6ikajUWKg0liG4uJiGTJkiEyaNEl5U/HmzZsFgOzfv19nv3//+98lJSVF4uLiBID079/f6NyvXbsmLVq0EAASHh4uV65ckc8//1wASL9+/USkfPIyT09Pefvtt5XtMjIyxNPTU9zd3SUjI0NnYq53331XDh8+LK+//rrk5OTI77//LgCkVatWEhcXJ7/99psAkC5dusiaNWvk7t278tNPPwkAGTJkiE5+hvpNX9+lpqbqtJWUlOjkfvDgQQEgixYtMno/lfehbz+G+ik7O9uo/jZWQkKCrFu3Tvle39vVv/76a2nevLlyzjyI9mcUFBQkgYGBMmDAAGndurV8/PHHVd6WbcnzueIxRkRECABZuHCh3uU8d63z3NXmxTFMD8YxTGROVjFxpXYStHv37ikj6v/nf/4Hc+fOxZQpU7BlyxZERETA1dUV48ePh4jgscceQ2pqqvLuGJVKBbVajQsXLgAAIiIisGDBAiQmJsLT0xNA+VN527Ztw0svvQRHR0dlv2WqdHY5AAAgAElEQVRlZcrtmLZt2yI/P9+kx2XVajUSExN1JnFzcXFBdnY2CgoK8NZbbyE8PBxpaWk6763Ztm0bJk+ejNDQUKxatUqJc/v27Spvy658fJ06dcL169d19uns7IyioiLlHTnafnhQv+mLra+toKAATZs2RXZ2NjQaDZycnPCvf/1LeWePqT8fffsxtZ+q629j3L59GyEhIfjkk0+Un311k/GVlpYa9fZ0lUqFbt264ciRI8jLy8PVq1fx1VdfYfPmzfjv//5vrF69WhnjZMnzWaVS6RxjQEAAdu3ahdjYWIwYMUJnOc9d6zt3K+7/2Wefrfunfeox7RN8zz77rIUzoYbg1KlTePbZZ42qb2zrOpmKjx++9NJLmDt3Ln777TcAwPz585Gbm4sPPvgAt2/fRmFh4QNvI2hv51X8x8TGxgZBQUFV1q04dqVdu3a4ePGiSXnrG/vSunVrZdKz+Ph4AKjyeKX25YwnT57UiVP5A0cffY9qOjk5Vcnd1H6rTtOmTQGUP0acmZmJuLg45QPHXPsxtZ8qqtjfxpg5cyb+9re/ISkpSWnTvucqMTERdnZ2cHd3BwCjiiUtW1tbdO7cGUB5IT1s2DA88cQTmD17Ntq1a6e8NNKazudNmzbhP//5D4KCgvDzzz/rLOO5a5yHee4SUT1g7ktWWvpuhWgfGf7rX/8qIiJnzpyRrl27yjfffKN3G1S6bN6vXz8BoLyLxtj96murSf4V24YOHSoA5Ndff9VZJz8/XwDIyJEjDe678vEZm7uhftMXu7q2r776SrntUpmpPx997bXpJ1N/bk2bNtX7XiLtV7du3YyOpe9YKkpPT69ya8yS57O+frpw4YK0aNFCnnvuOZ3lPHet79ytuH/eknsw3pIjc7L4tALV0U6MNmrUKADA5MmTUVxcjOHDhwMoH3hZkUql0nmT9tNPPw0ACA8P17n8feXKFXzzzTd1mntl2r8y4+LidNq1x/jCCy/U2b4N9Zuxbt26hRkzZqB///4ICQlR2n/55Rej9lP556PPw+yn/Px8iIjOl/bt6iKCS5cuKevqe3O2KbRXD1xdXZU2S53P2v1U3p9arcann36KY8eO6bTz3LW+c5eI6gFzV2Ba3bt3FwBy+/ZtpW3WrFkyevRo5ftWrVqJSqWS7777TrZv3y7t27cXAHL69Gm5evWqdOvWTezt7SU1NVVERJKTk8Xe3l4AyNChQyUqKkqWLl0qM2bMUAbNdujQQQDIvXv3lP24uroKAJ23bhvSpUuXKn8hduzYUQBIcXGx5OXliUajkU6dOklaWpqyzty5c8XLy0uKi4t14lTet/av1Mcff1xp8/DwEACSk5NTJY/S0lKj+y0vL08ZhKuVk5MjAKRDhw5K21//+lext7eXS5cuKW23b9+WxYsXG7Wfyj8fffsxtZ+q6++a0veXfmxsrLRo0UK5+lAd7c+oc+fOOu03b96UAQMGSOPGjeXMmTNKu6XOZ+0Emzdu3NB7HPPnz9fpA5671nvugleYDOIVJjInU84nm7fffvttQ0WVdjCUKW/Qfvzxx5GdnY1t27YhISEBhw8fRvfu3bFmzRrlnn/Lli3xf//3f/j3v/+NiRMnwt3dHadPn0Zqaur/x969h0VVrv0D/46ApkjiEVBwKxhijUX5mgdU2FZoami9Kmp4Kg9XvpUHFGGbpiSmFpKvjLk1o8tTgkrlqcwDZhsPtbXcb6agIScBEZSDHOR0//7gNytHRmcGB2e07+e65uriWWvd614PK9btrGc9CyNHjkRhYSHOnz8Pb29vdOvWDS1btkRAQABSUlJw+vRpnDx5El26dMGyZcvQpEkTREZGIj4+HkDttw39+/fH6tWr8dVXXwGoHc/i5+dncPzK2rVrsW3bNgC1c9d4e3tj3bp1Sj9UVlbCz88Pb7zxBm7cuIF169bh7NmzOHz4MBwdHbFhwwZUVlZi+fLlyr7z8vLg5uYGZ2dn5ObmIjw8HCdOnMDNmzfRp08fXLp0CWvXrkVNTQ1KSkrQq1cvbNy4Edu3bwcANG/eHF5eXmjWrNk9+61Hjx6IjIzEqVOnUFBQgJYtW6Jjx46IjIzEv/71LxQXF6NFixZISkrChx9+iK5duyI/Px8HDhzAzp078d5778HPzw99+vQx+fdTWlqKiIgInf14e3tjypQpd+0nOzs7o/q7X79+ynxCptBoNMjLy8Ptp3l6ejq+/fZbjB49+q6TOcbHxyM8PBy///47CgsL8d1332HXrl349NNPsW7dOnh5eWHr1q3w9vZWtrHE+Xzjxg188MEHuHjxIpKSktCxY0dlvJXWCy+8gISEBGUaBDs7O0yYMIHnrhWeu0uWLMGoUaPw1FNPGbX+X1F9rkdEd2PK+dRgT8kREZFpVCoVYmNjWQzcA69HZE6mnE9WO9N3Q1GpVAY/SUlJlk6T7sDfGxERWVKDTytgbYz4Qo2sEH9vRERkSX+5b5iIiOiv6+LFi4iMjERcXBy8vb2hUqmgVqtRVlams97hw4cxePBgqFQq9OzZs85Lra3J5s2bERAQgLCwMAwcOBAzZsxQXt9jyVhZWVmIiYlBYGAg+vbtq3edjRs34tlnn4WDgwO8vb0RExNjUk7V1dUIDQ3FlStX6pWjScw9ipyIiOoHFnxKLiMj46GIfT/Xo6NHj8q4ceOkoqJCREQKCwuVedqmTZtWZ/3U1FQBIElJSfeVc0Nat26dAJD9+/eLiMi5c+cEgIwYMcKisbTufOXQ7UJDQyUoKEg0Go3MnDlTmjZtKgBkzZo1JuV0/fp1ee211yQlJcXk/Kx2HiYiIrI+qampGDdu3EMX2xTnz5/HhAkTsGbNGtjZ2QGA8oLuAQMGYP369XW+RerQoQMA3PVpWmuwadMmAEDPnj0BAE8++STatWuHw4cPWzSWlpubm972zMxMZGRkYPPmzZgxYwY++eQTfP311wCg8wJyY3Jq2bIl3n//fQQEBJj0CjRTsWAiIvoLu3LlCoYNG4Zr1649VLFNISIICgrC5MmT0apVqzrLY2Nj4eLigqlTp+Ly5ctKu3Y6CG2BZY20x6N91VJJSQny8/MxcOBAi8YyJC0tDZGRkTpt/v7+aNu2LXJzc03O6emnn4aHh4fORLbmxoKJiOghVVRUhPnz5yMsLAzBwcEYNGgQgoODlfEdGzZsQKNGjZS574qLi7Fq1Sqdti+++ALnzp1DTk4O3nrrLQC1LySdO3cuOnfujKtXr2LkyJFo3bo1unfvrswNVt/YAJCQkAA3NzccO3bsgfTT7t27cebMGWXm9zs5OzsjLi4OpaWlCAwMvOd7Bw31+e7duzF9+nS4ubmhoKAAkyZNQps2bdC9e3ecPn1aiVNeXo6VK1diypQp6NmzJ1566SX89ttvJh9bVFQUPDw8MGvWLKSnpyM6Ohrz5s1T5gezVCxDfHx84OTkVKe9oqIC/fv3r1dOgwYNwoYNG5CSkmL2fAFwDBMRkbWACWOYiouLxdPTUxYvXqy05ebmiqenp7i7u0tBQYGI/DkL++3ubMNtY0yqq6tl7969yniSd955R44dOybbtm0TBwcHASCJiYn1iq31zTffSLNmzWTPnj1GHevt6nM9Gjt2rKhUKr0zr9+ea1RUlACQuXPn6l1uTJ9nZmZK8+bNBYBERERIWlqabNmyRQBIr169lO2mTp0qFy5cUH729/cXJycnnVn9jXXt2jXx8fERV1dXmTNnjsnbN1QsLX3ngD6JiYnStGlTOXPmTL1y+uWXX+76fsm7MeV8YsFERGQlTCmYFixYIAB0XtsiIrJp0yYBICEhISJi3MuB9V3QPD09BYCUlJQobZ988okAkDFjxtxXbBGRqqoqo47zTvW5HnXq1EkcHR31Lrsz/9GjR4tKpZJ9+/bVWW5sn3ft2rVOXCcnJ2nSpImIiJw6dequLwnfu3evSccmIpKWlibDhg2Tl19+WQDIvHnzlNcrWTKWljEFU1VVlfj6+sqXX35Z75yysrIEgAwZMsTo3Djom4joEZeYmAgAcHBw0GnXvjT4+PHj9xW/UaPay0OzZs2UtoCAAADQeZF1fRl6RZU55eTkoGXLlkatu3HjRnh5eWHSpEnIysrSWWZsn2tvSd6uZcuWuHXrFgDg559/hlqtrvOycBHB0KFDTTq2n376CT169MDEiRPx9ddfw8fHBx999BEWLVpkUhxzxzLVkiVL8MILL2DMmDH1zsnR0RHAny9HNzcWTEREDyFtQZOamqrTrh0X0qJFC7Pvs3379gDu/uSTtbKxsUF1dbVR6zZv3hzx8fEoKytDUFCQzjJz9Xl+fj5SUlJQWlpaZ1lNTY1RMbTCwsKQl5cHPz8/NG7cWHmH4/r1602KY+5Ypti7dy/s7e2xcOHC+8pJX6FqTiyYiIgeQtpvNfbt26fTnpGRAQB48cUXAfx5EamoqABQ+8RYYWGhzjYqlQpVVVUG95mfn2+22MYWMObg4uKid/JFbXFyZ5Hi5eWFzz//HAkJCTrtxva5IV5eXigtLcWKFSt02s+fP4/o6GijYmhp+75x48YAAFdXVzg5OdWreDBnLGMdPHgQmZmZmD9/vk77iRMnTM7pxo0bAGoH8TcEFkxERA+hkJAQqNVqrFmzBjk5OUq7RqOBj48P3n77bQC1F2cAWLp0KS5duoTVq1crt4YOHDiAmpoaeHh4IDs7W7nw3+72wubQoUPo0aMHpk+ffl+x9+3bB0dHR3z33Xfm7JK78vX1RXFxMW7evKnTrn18Xd8tnFGjRmH27Nk6bcb2eXl5eZ14xcXFAICqqioMHz4c7u7uCA8Px5tvvolt27Zh4cKFmDVrFiZPngwAiIyMxFNPPaV8o3I32jmu9u/fDwBIT0/H1atXdW5tWSKWlnYGdX0F8uHDh7F8+XJUV1dDo9FAo9EgOjoac+bMUXIwJietvLw8AEC/fv2Mys1k5h4URURE9QMTZ/ouLi6WkJAQ8ff3l+DgYAkJCZHw8HC5deuWsk5ycrL06tVL7O3txd/fX5KTk6V///4yfvx42b59u9y6dUvCwsLExcVFdu3apWynHbz98ccfS15enuTm5sry5cvl5s2b9x374MGD0r59ezly5IjJfVSf69EPP/wgAOT7779X2uLj42XIkCECQIYNGyY//vhjne0qKyulX79+Om2G+lyj0SgDuJcuXSqFhYXKYHkAEhoaKmVlZZKamioBAQHSqlUrcXZ2lmnTpsm1a9eU/cyYMUMaNWokHTp0MHh8Go1Gnn/+eQkODpZXX31VFi1aJOXl5RaPlZCQINOmTRMAYmdnJytXrpRff/1VRESOHz8uzZo10zvwXaVSyR9//GF0Tlqffvqp2NjY6GxriCnnk0rE8FtNR40aBQDYsWNHA5RsREQE1N6+io2NxejRoy2dCrp164YLFy5Y3Yuv63s9Gjp0KDw9PREVFdUQaTWI5ORkTJgwASdPnnxkY5lTQEAAnJ2dTRpzZcr5xFtyRET0yIuJicH+/fsb7AkqcystLcWaNWvw2WefPbKxzOnUqVNITk6uM3u4ObFgIiKiOrTv5GrId3M9SO3atcOuXbswe/ZsvU+nWZuUlBQsW7YMarX6kY1lLtnZ2YiIiMChQ4fqTPlgTiyYiIhIUVJSggULFiiDtN99912ru/VSX2q1GhEREdBoNJZOxSC1Wm22i7+1xjKHqqoqbNq0CVu3boWrq2uD7su2QaMTEdFDxd7eHhEREYiIiLB0Kg2ic+fODfqCVnqwbG1t60xJ0FD4DRMRERGRASyYiIiIiAxgwURERERkAAsmIiIiIgNYMBEREREZYPRM3zt37nwQ+RARERE9MCNHjjRqpm+jCqYTJ07ofSkjEZG5aV9dceeLT4mIGoKbmxv69OljcD2jCiYiogdF+x61uLg4C2dCRPQnjmEiIiIiMoAFExEREZEBLJiIiIiIDGDBRERERGQACyYiIiIiA1gwERERERnAgomIiIjIABZMRERERAawYCIiIiIygAUTERERkQEsmIiIiIgMYMFEREREZAALJiIiIiIDWDARERERGcCCiYiIiMgAFkxEREREBrBgIiIiIjKABRMRERGRASyYiIiIiAxgwURERERkAAsmIiIiIgNYMBEREREZwIKJiIiIyAAWTEREREQGsGAiIiIiMoAFExEREZEBLJiIiIiIDGDBRERERGQACyYiIiIiA1gwERERERnAgomIiIjIABZMRERERAbYWjoBIvrrOnXqFM6ePavTlpKSAgBYv369TvszzzyDXr16PbDciIhupxIRsXQSRPTXtHfvXrzyyiuwsbFBo0a1X3hr/ySpVCoAQE1NDaqrq7Fnzx4MGzbMYrkS0V8bCyYispjKykq0adMGRUVF91zv8ccfx7Vr19C4ceMHlBkRkS6OYSIii7Gzs8PYsWPvWQgZsw4RUUNjwUREFjV27FhUVFTcdXllZSXGjRv3ADMiIqqLt+SIyKJqamrQvn17XL16Ve/ytm3bIicnRxnjRERkCfwLREQW1ahRI4wfP17vLbfGjRtj0qRJLJaIyOL4V4iILO5ut+UqKiowduxYC2RERKSLt+SIyCo88cQTuHTpkk6bu7s7/vjjDwtlRET0J37DRERWISgoCHZ2dsrPjRs3xsSJEy2YERHRn/gNExFZhUuXLuGJJ57QaUtKSoKnp6eFMiIi+hO/YSIiq9ClSxc888wzUKlUUKlUeOaZZ1gsEZHVYMFERFZjwoQJsLGxgY2NDSZMmGDpdIiIFLwlR0RWIysrC25ubhARZGRkoEOHDpZOiYgIAAsmq3PixAmsWrXK0mkQWczRo0cBAH5+fhbNg8iS5syZgz59+lg6DboNb8lZmYyMDOzcudPSaRABADIzMx/4+dixY0f87W9/e6D7vF87d+5EZmampdOgR8TOnTuRkZFh6TToDraWToD027Fjh6VTIEJcXBwCAwMf6Pl4/fp1AECrVq0e2D7vl0qlwuzZszF69GhLp0KPAJVKZekUSA8WTERkVR6mQomI/jp4S46IiIjIABZMRERERAawYCIiIiIygAUTERERkQEsmIiIiIgMYMFERA9E7969ERISYuk0rM7FixcRGRmJuLg4eHt7Q6VSQa1Wo6ysTGe9w4cPY/DgwVCpVOjZsyfi4uIslLFhmzdvRkBAAMLCwjBw4EDMmDEDBQUFFo+VlZWFmJgYBAYGom/fvnrX2bhxI5599lk4ODjA29sbMTExJuVUXV2N0NBQXLlypV45khUTsiqxsbHCXwtZC3Oej2PGjJGFCxeaJVZ9ZGRkNFhsABIbG2vydkePHpVx48ZJRUWFiIgUFhYKAAEg06ZNq7N+amqqAJCkpKT7zrmhrFu3TgDI/v37RUTk3LlzAkBGjBhh0Vha6enpAkC8vLzqLAsNDZWgoCDRaDQyc+ZMadq0qQCQNWvWmJTT9evX5bXXXpOUlJR65Vjf84kaFq/MVoYFE1mTR+V8vHz5svTv37/B4tfnAvf7779Lx44dJT8/v06sAQMG6I1ZWVkpAJQCyxr17dtXAMi1a9eUtnbt2omDg4NFY91OX8GUkZEhr7/+uk7bgQMHBIB06dLF5JzOnj0rarVabt68Wa/8WDBZH96SI6JH2pUrVzBs2DBcu3bN0qkoRARBQUGYPHmy3ok6Y2Nj4eLigqlTp+Ly5ctKu61t7VzDdnZ2DyxXU2mPR/tOwJKSEuTn52PgwIEWjWVIWloaIiMjddr8/f3Rtm1b5ObmmpzT008/DQ8PD8ybN8/suZJlsGAiogZVU1ODHTt2YNKkSfD19QUA7N69G9OnT4ebmxsKCgowadIktGnTBt27d8fp06cBACdPnsTcuXPRuXNnXL16FSNHjkTr1q3RvXt3xMfHAwA2bNiARo0aKa+SKC4uxqpVq3TavvjiC5w7dw45OTl46623lLwSEhLg5uaGY8eOPcjuAFB7/GfOnMHgwYP1Lnd2dkZcXBxKS0sRGBiIysrKu8YqKirC/PnzERYWhuDgYAwaNAjBwcHKmBpj+hoAysvLsXLlSkyZMgU9e/bESy+9hN9++83kY4uKioKHhwdmzZqF9PR0REdHY968edi2bZtFYxni4+MDJyenOu0VFRXo379/vXIaNGgQNmzYgJSUFLPnSxZg6a+4SNejcguEHg3mOh/vHDeSmZkpzZs3FwASEREhaWlpsmXLFgEgvXr1kurqatm7d68yhuSdd96RY8eOybZt28TBwUEASGJiooiIeHh41MnxzjbouQXzzTffSLNmzWTPnj33fXww8RbK2LFjRaVSSWVlpd5YWlFRUQJA5s6dq3d5cXGxeHp6yuLFi5W23Nxc8fT0FHd3dykoKDDY11pTp06VCxcuKD/7+/uLk5OTFBUVGX1cWteuXRMfHx9xdXWVOXPmmLx9Q8XS0nc+6JOYmChNmzaVM2fO1CunX375RQDIhx9+aHJ+vCVnfXhltjIsmMiamPN8vPMi1bVr1zqxnZycpEmTJsrPnp6eAkBKSkqUtk8++UQAyJgxY0RExMvLq06cO9vudoGsqqq6v4O6Lb4pF7hOnTqJo6PjXWPdbvTo0aJSqWTfvn11li9YsEAASHZ2ts42mzZtEgASEhIiIob7+tSpU8pg8zs/e/fuNfq4tNLS0mTYsGHy8ssvCwCZN2+e1NTUmBzH3LG0jCmYqqqqxNfXV7788st655SVlSUAZMiQISbnx4LJ+vCWHBFZhL43srds2RK3bt1Sfm7UqPZPVLNmzZS2gIAAALWP498vGxub+45RHzk5OWjZsqVR627cuBFeXl6YNGkSsrKydJYlJiYCABwcHHTaBwwYAAA4fvw4AMN9/fPPP0OtVkNq/xGt8xk6dKhJx/bTTz+hR48emDhxIr7++mv4+Pjgo48+wqJFi0yKY+5YplqyZAleeOEFjBkzpt45OTo6AgCuXr3a4PlSw2PBREQPlfbt2wMA3NzcLJxJ/dnY2KC6utqodZs3b474+HiUlZUhKChIZ5m2oExNTdVp147FadGihVH7yM/PR0pKCkpLS+ssq6mpMSqGVlhYGPLy8uDn54fGjRtj+/btAID169ebFMfcsUyxd+9e2NvbY+HChfeVk75ClR5eLJiI6KGSn58PAHjxxRcB/HlRqqioAFD7BFphYaHONiqVClVVVXViGVu0mJuLi4veyRe1xcmdRYqXlxc+//xzJCQk6LRrv0nat2+fTntGRgaAP/vIEC8vL5SWlmLFihU67efPn0d0dLRRMbS0v4fGjRsDAFxdXeHk5FSv4sGcsYx18OBBZGZmYv78+TrtJ06cMDmnGzduAKgdxE8PPxZMRNTgbt68CaD2iS6t8vLyOusVFxcDQJ3i5vbC5tChQ+jRowemT58OoPZiDwBLly7FpUuXsHr1auVW04EDB1BTUwMPDw9kZ2crhQRQW2Q4Ojriu+++M8chmsTX1xfFxcVKv2hpH1/Xdwtn1KhRmD17tk5bSEgI1Go11qxZg5ycHKVdo9HAx8cHb7/9NgDDfT18+HC4u7sjPDwcb775JrZt24aFCxdi1qxZmDx5MgAgMjISTz31lPKNyt2MGzcOALB//34AQHp6Oq5evapza8sSsbS0M6jrK5YPHz6M5cuXo7q6GhqNBhqNBtHR0ZgzZ46SgzE5aeXl5QEA+vXrZ1RuZOUsOYCK6uKgb7Im5jgfS0pKJCwsTBlEvGrVKlm+fLny89KlS6WwsFAZzA1AQkNDpaysTBm8/fHHH0teXp7k5ubK8uXLdSYDTE5Oll69eom9vb34+/tLcnKy9O/fX8aPHy/bt2+XW7duSVhYmLi4uMiuXbuU7Q4ePCjt27eXI0eO3NfxiZg+SPeHH34QAPL9998rbfHx8TJkyBABIMOGDZMff/yxznaVlZXSr18/nbbi4mIJCQkRf39/CQ4OlpCQEAkPD5dbt26JiIhGozGqr1NTUyUgIEBatWolzs7OMm3aNJ3JGWfMmCGNGjWSDh06GDw+jUYjzz//vAQHB8urr74qixYtkvLycovHSkhIkGnTpgkAsbOzk5UrV8qvv/4qIiLHjx+XZs2a6R34rlKp5I8//jA6J61PP/1UbGxsdLY1hqnnEz0YKhGRB1ifkQFxcXEIDAwEfy1kDSx9Pnbr1g0XLlyw+v8fVCoVYmNjMXr0aKO3GTp0KDw9PREVFdWAmZlXcnIyJkyYgJMnTz6yscwpICAAzs7OJo+5qs/5RA2Pt+SIiCwgJiYG+/fvf2ieoCotLcWaNWvw2WefPbKxzOnUqVNITk6uM3s4PbxYMBGR1SopKdH576OkXbt22LVrF2bPnq336TRrk5KSgmXLlkGtVj+yscwlOzsbEREROHToUJ0pH+jhxYKJrMadTzbV16VLl8wShyynpKQECxYsUAZpv/vuu1Z3u8Uc1Go1IiIioNFoLJ2KQWq12mwXf2uNZQ5VVVXYtGkTtm7dCldXV0unQ2bEgonMbuPGjXj22Wfh4OAAb29vxMTE3HXdW7duYdmyZejbty9at25t8r6io6OhUql0PqtXr6537jt27MArr7yC5557DoMGDcLw4cPx9ttvY8WKFRZ9iea9+vTQoUMYMmSIcvwDBw7EwIED0bNnTwwfPhwbN25UHoV+WNjb2yMiIkKZPHHjxo3o3bu3pdNqEJ07d+YLWh8htra2mD9/vlUVcWQetpZOgB4tYWFhyMzMxNSpU5GcnIz169fjjTfeQElJifKI8+2aNGmCOXPmIDIy0uQ5caqqqvDll19i+fLlSputrS0mTJhgct55eXkYPXo0MjIysHXrVjz//PMAauf02bZtG2bOnIkRI0aYHNccDPXpiy++iCeffBIdOnRA586dceTIESX3ffv2YdasWVixYgW+/vprPPnkkxY5BiKihx0LJjKbzMxMZGRkYMuWLUrbkCFDMGjQIKxevVpvwQQAjz32GNq1a4fr16+btL8vv/wSQUFBOp7eqfsAACAASURBVG+grw8RwYgRI3D+/HlcvHgRrVq1UpapVCq8/vrrcHV1xbp16+5rP/VhbJ9qZ79u0qSJsp5KpcKwYcPQo0cP9OjRAwEBAfjtt9/w2GOPPdiDICJ6BPCWHJlNWlpanSdC/P390bZtW2VCPnMREaxYsQLz58+Hv78/3n///TqvhzBWfHw8EhMTERoaqlMs3c7X1xejRo26j4zrxxx96uLigg8++AB//PEHn9ghIqonFkyPgJKSEixduhTjx4/HzJkz4efnpzOOp6ioCPPnz0dYWBiCg4MxaNAgBAcHK69m2L17N6ZPnw43NzcUFBRg0qRJaNOmDbp3747Tp08DAHbu3InWrVtDpVLpvF/p008/hY2NDTZs2AAfHx/lHVa3q6ioQP/+/ZWfy8rKEBwcjOnTp2PhwoX4xz/+YfJTUEVFRRg0aBB69+6NEydOIDw8HF5eXvjggw901ktISICbmxuOHTt211jx8fEAgBdeeOGe+3zttdd09m9NfWrIyJEjYWNjg++//97obYiI6DYWmjCT7sLUmZUrKyvFz89Pxo8fLzU1NSIiEhMTIwBkz549UlxcLJ6enrJ48WJlm9zcXPH09BR3d3cpKCiQzMxMad68uQCQiIgISUtLky1btggA6dWrl7LdmjVrBIB8++23Slt6erqMGzfurvklJiZK06ZN5cyZMyIiUlVVJb169ZKpU6cq6/zxxx9ia2tb7xmlCwsLJSIiQonx2WefKcu++eYbadasmezZs+eu2/fs2VMASGFhoVH7s7Y+1QIgXl5ed93OxcVFWrdubdQxanHmeeOAMzOTGfF8sk78S2hlTL1ArVq1SgBIUlKS0lZVVSUxMTFy48YNWbBggQCQ7Oxsne02bdokACQkJERERLp27Vpnv05OTtKkSRPl54qKCunYsaMEBAQobQsXLpRffvlFb25VVVXi6+srX375pdIWHR0tAOT8+fM663p6et73hfmf//ynAJDnnnuuTh730rt3b719dDfW1qdahgomNzc3ad++veEDvI32fOSHH34e7IcFk/XhoO+H3NGjRwFAZ74PGxsbTJo0CQCQmJgIAHUecdW+5fz48eMAoPdN2y1bttSZhdjOzg4zZ87EvHnzkJKSAjc3NyQlJcHb21tvbkuWLMELL7yg81JK7S2hTp066azbqNH93x2eMmUKZs2aheTkZJ12Gxube2735JNP4uTJkzh//rxRbxW3tj41RmVlJa5evWr02+vvFBsbW6/t/ioCAwMxa9Ys9OnTx9Kp0CMgMDDQ0imQHiyYHnLai+/FixfxzDPP1FmuLURSU1Px1FNPKe3acTEtWrQwaX9TpkzB4sWLER0djT59+mDkyJF619u7dy/s7e0xf/58nfYrV64AAPLz89GhQweT9m1Io0aN0KpVK7Rt29ak7Xx9ffH555/j5MmT+Pvf/27UfgDr6VNjHDlyBBUVFQbHad0N32l1b4GBgejTpw/7icyCBZN14qDvh5y2SNJO8qeVlpaGb7/9VvnWY9++fTrbaWdQNvUbh8cffxxTpkzB559/jtjYWLz66qt11jl48CAyMzPrXNhPnDgBLy8vvfmYQ1ZWFrKysuo8zWZofqegoCD06NEDq1evRnZ2tt51bt26hU2bNgGA1fWpIRUVFfjHP/6BZ599Fu+++65JuRERUS0WTA+50NBQ2NvbY8eOHXjxxRexdu1aLFq0CB9++CEGDx6MkJAQqNVqrFmzBjk5Ocp2Go0GPj4+yjw+5eXldWIXFxcDqJ0g8nbvvvsubt68iWeffRa2trpfUh4+fBjLly9HdXU1NBoNNBoNoqOjMWfOHOzfvx/z5s2Dra0t/vGPf+DAgQMoKytDQkICsrKyAMDoqQHCw8Mxc+ZMXLhwQcn/rbfewogRIxAaGqqst2/fPjg6OuK77767a6xGjRphy5YteOyxx9CvXz989dVXSpGlzW/o0KHo2rUrAFhdn2rz1LfPX375BS+99BJu3LiBrVu31olNRETG4V/Ph1znzp1x8uRJzJ07Fz/99BOSkpIwatQorFy5EiqVCk2bNsWJEyfwwQcfYOLEiejevTtsbGzQunVrHDlyBLa2tli7dq1SqEREROCdd95BTEyMcvts4cKFeP/995UJDzt16oR33nmnzoSRJ06cQEBAAEpLS5XZprVUKhUuXboEd3d3HDlyBGFhYRg1ahTatm2LadOmwdvbG08++SRSUlLQsWNHg2OaOnbsiK+++gobN27E8OHD8dhjj2HKlCl45ZVXdNZr0qQJHn/8cZ0JHfXx8vLCb7/9hrVr12Ljxo0IDg6Gvb09bG1tMXToUMTFxSlzNFlbnyYmJiqvSklNTcXf//53NGnSBE2aNIGdnR0CAwMxceJE2Nvb37MPiIjo7lRy+30csri4uDgEBgaCvxayBjwfjaNSqRAbG8sxTGQWPJ+sE2/JkdW582W6+j5JSUmWTpOIiP5CeEuOrA6/zSAiImvDb5iIiCzo4sWLiIyMRFxcHLy9vaFSqaBWq5WB/FqHDx/G4MGDoVKp0LNnT8TFxVkoY8M2b96MgIAAhIWFYeDAgZgxY4by2iBLxsrKykJMTAwCAwPRt29fvets3LgRzz77LBwcHODt7a2MDzQ2p+rqaoSGhirjFekRYslZM6kuvoqCrImlz8eMjIyHIjbqOTPz0aNHZdy4cVJRUSEita/5wf+f6XnatGl11k9NTRVAd2Z/a7Nu3ToBIPv37xcRkXPnzgkAGTFihEVjaaWnpwugf1b80NBQCQoKEo1GIzNnzpSmTZsKAFmzZo1JOV2/fl1ee+01SUlJqVeO9T2fqGHxymxlLH2BIrqdJc/Hy5cvS//+/R+K2PW5wP3+++/SsWNHyc/PrxNrwIABemNWVlYKAKXAskZ9+/YVAHLt2jWlrV27duLg4GDRWLfTVzBlZGTI66+/rtN24MABASBdunQxOaezZ8+KWq2Wmzdv1is/FkzWh7fkiMjqXLlyBcOGDcO1a9ceqtjGEhEEBQVh8uTJynQVt4uNjYWLiwumTp2Ky5cvK+3aebTs7OweWK6m0h6P9rVNJSUlyM/Px8CBAy0ay5C0tDRERkbqtPn7+6Nt27bIzc01Oaenn34aHh4emDdvntlzJctgwUREZlVUVIT58+cjLCwMwcHBGDRoEIKDg5UxHhs2bECjRo2Ud+0VFxdj1apVOm1ffPEFzp07h5ycHGVuKu18Y507d8bVq1cxcuRItG7dGt27d0d8fPx9xQaAhIQEuLm54dixYw3eR7t378aZM2cwePBgvcudnZ0RFxeH0tJSBAYGorKy8q6xDPX37t27MX36dLi5uaGgoACTJk1CmzZt0L17d5w+fVqJU15ejpUrV2LKlCno2bMnXnrpJfz2228mH1tUVBQ8PDwwa9YspKenIzo6GvPmzcO2bdssGssQHx8f5fVGt6uoqED//v3rldOgQYOwYcMGpKSkmD1fsgBLf8VFunhLjqyJqedjcXGxeHp6yuLFi5W23Nxc8fT0FHd3dykoKBAREQ8Pjzpx72zDbbdNqqurZe/evcqYknfeeUeOHTsm27ZtEwcHBwEgiYmJ9Yqt9c0330izZs1kz549Rh/v7fFMuYUyduxYUalUUllZqTeWVlRUlACQuXPn6l1uTH9nZmZK8+bNBYBERERIWlqabNmyRQBIr169lO2mTp0qFy5cUH729/cXJycnKSoqMvq4tK5duyY+Pj7i6uoqc+bMMXn7hoqlpe/3r09iYqI0bdpUzpw5U6+cfvnlFwEgH374ocn58Zac9eGV2cqwYCJrYur5uGDBAgEg2dnZOu2bNm0SABISEiIiIl5eXnXi3tmm76Lm6ekpAKSkpERp++STTwSAjBkz5r5ii4hUVVUZfay3M/UC16lTJ3F0dLxrrNuNHj1aVCqV7Nu3r85yY/u7a9eudeI6OTlJkyZNRETk1KlTymDzOz979+41+ri00tLSZNiwYfLyyy8LAJk3b57U1NSYHMfcsbSMKZiqqqrE19dXvvzyy3rnlJWVJQBkyJAhJufHgsn68JYcEZlNYmIiAMDBwUGnXfvC4uPHj99XfO0rc5o1a6a0BQQEAKh9PP9+2djY3HcMY+Tk5KBly5ZGrbtx40Z4eXlh0qRJyjsXtYztb+3tyNu1bNkSt27dAgD8/PPPUKvVkNp/ROt8hg4datKx/fTTT+jRowcmTpyIr7/+Gj4+Pvjoo4+waNEik+KYO5aplixZghdeeAFjxoypd06Ojo4AgKtXrzZ4vtTwWDARkdloC5o7X6KsHRvSokULs++zffv2AAA3Nzezx24oNjY2ygueDWnevDni4+NRVlaGoKAgnWXm6u/8/HykpKSgtLS0zrKamhqjYmiFhYUhLy8Pfn5+aNy4MbZv3w4AWL9+vUlxzB3LFHv37oW9vT0WLlx4XznpK1Tp4cWCiYjMRvvNxr59+3TaMzIyAAAvvvgigD8vJBUVFQBqnxorLCzU2UalUqGqqsrgPvPz880W29gi5n65uLjonXxRW5zcWaR4eXnh888/R0JCgk67sf1tiJeXF0pLS7FixQqd9vPnzyM6OtqoGFrafm/cuDEAwNXVFU5OTvUqHswZy1gHDx5EZmYm5s+fr9N+4sQJk3O6ceMGgNpB/PTwY8FERGYTEhICtVqNNWvWICcnR2nXaDTw8fHB22+/DaD2Ag0AS5cuxaVLl7B69Wrl9tCBAwdQU1MDDw8PZGdnKxf/291e2Bw6dAg9evTA9OnT7yv2vn374OjoiO+++86cXaKXr68viouLcfPmTZ127ePr+m7hjBo1CrNnz9ZpM7a/y8vL68QrLi4GAFRVVWH48OFwd3dHeHg43nzzTWzbtg0LFy7ErFmzMHnyZABAZGQknnrqKeUblbsZN24cAGD//v0AgPT0dFy9elXn1pYlYmlpZ1DXVxwfPnwYy5cvR3V1NTQaDTQaDaKjozFnzhwlB2Ny0srLywMA9OvXz6jcyMpZcPwU6cFB32RN6nM+FhcXS0hIiPj7+0twcLCEhIRIeHi43Lp1S1knOTlZevXqJfb29uLv7y/JycnSv39/GT9+vGzfvl1u3bolYWFh4uLiIrt27VK20w7e/vjjjyUvL09yc3Nl+fLlOpMD1jf2wYMHpX379nLkyBGT+wkmDtL94YcfBIB8//33Slt8fLwMGTJEAMiwYcPkxx9/rLNdZWWl9OvXT6fNUH9rNBplAPfSpUulsLBQGSgPQEJDQ6WsrExSU1MlICBAWrVqJc7OzjJt2jSdyRlnzJghjRo1kg4dOhg8Po1GI88//7wEBwfLq6++KosWLZLy8nKLx0pISJBp06YJALGzs5OVK1fKr7/+KiIix48fl2bNmukd+K5SqeSPP/4wOietTz/9VGxsbHS2NYap5xM9GCoRvunUmsTFxSEwMJAvoCWrYG3nY7du3XDhwgWryUdLpVIhNjYWo0ePNnqboUOHwtPTE1FRUQ2YmXklJydjwoQJOHny5CMby5wCAgLg7Oxs8pir+pxP1PB4S46IyAJiYmKwf//+h+YJqtLSUqxZswafffbZIxvLnE6dOoXk5OQ6s4fTw4sFExE9NEpKSnT++zBr164ddu3ahdmzZ+t9Os3apKSkYNmyZVCr1Y9sLHPJzs5GREQEDh06VGfKB3p4sWAiIqtXUlKCBQsWKIO03333Xau7/VIfarUaERER0Gg0lk7FILVabbaLv7XGMoeqqips2rQJW7duhaurq6XTITOytXQCRESG2NvbIyIiAhEREZZOxew6d+7MF7Q+QmxtbetMSUCPBn7DRERERGQACyYiIiIiA1gwERERERnAgomIiIjIAA76tlJxcXGWToFIeX8Wz0fDtH1FRI8mzvRtZbQzKxMR0V8XZ/q2PiyYiMiqaC8S/FaLiKwJxzARERERGcCCiYiIiMgAFkxEREREBrBgIiIiIjKABRMRERGRASyYiIiIiAxgwURERERkAAsmIiIiIgNYMBEREREZwIKJiIiIyAAWTEREREQGsGAiIiIiMoAFExEREZEBLJiIiIiIDGDBRERERGQACyYiIiIiA1gwERERERnAgomIiIjIABZMRERERAawYCIiIiIygAUTERERkQEsmIiIiIgMYMFEREREZAALJiIiIiIDWDARERERGcCCiYiIiMgAFkxEREREBrBgIiIiIjKABRMRERGRASyYiIiIiAxgwURERERkAAsmIiIiIgNYMBEREREZoBIRsXQSRPTXtHXrVmzcuBE1NTVK2+XLlwEAnTt3VtoaNWqEN998E6+//voDz5GICGDBREQW9J///AfPPPOMUeuePXsWTz/9dANnRESkHwsmIrIoLy8vJCUl3XOdLl264OLFiw8oIyKiujiGiYgsavz48bCzs7vrcjs7O0yePPkBZkREVBe/YSIii0pJSUGXLl1wrz9FFy9eRJcuXR5gVkREuvgNExFZlLu7O5577jmoVKo6y1QqFf7rv/6LxRIRWRwLJiKyuAkTJsDGxqZOu42NDSZMmGCBjIiIdPGWHBFZXG5uLlxcXHSmFwBqpxPIysqCk5OThTIjIqrFb5iIyOLatWsHX19fnW+ZbGxs4Ofnx2KJiKwCCyYisgrjx4+vM/B7/PjxFsqGiEgXb8kRkVUoKipC27ZtUVFRAaB2OoHc3Fw4OjpaODMiIn7DRERW4vHHH8fgwYNha2sLW1tbDBkyhMUSEVkNFkxEZDWCgoJQXV2N6upqvjeOiKwKb8kRkdUoLy9HmzZtICLIy8tD06ZNLZ0SEREAIwumUaNGYefOnQ8iHyIiIqIHZuTIkdixY4fB9WyNDdi7d2/Mnj37vpIiIjLk119/hUqlwjPPPGPpVB64wMBAzJo1C3369LF0KlYrKioKAHg9IrPQnk/GMLpgcnV1xejRo+uVEBGRsV577TUAgK2t0X+eHhmBgYHo06cP/9beg/abAPYRmYMx3yxp/fX+IhGRVfsrFkpEZP34lBwRERGRASyYiIiIiAxgwURERERkAAsmIiIiIgNYMBEREREZwIKJiOgR07t3b4SEhFg6Dat08eJFREZGIi4uDt7e3lCpVFCr1SgrK9NZ7/Dhwxg8eDBUKhV69uyJuLg4C2Vs2ObNmxEQEICwsDAMHDgQM2bMQEFBgcVjZWVlISYmBoGBgejbt6/edTZu3Ihnn30WDg4O8Pb2RkxMjEk5VVdXIzQ0FFeuXKlXjiYRI4wcOVJGjhxpzKpERFRPACQ2Nva+44wZM0YWLlxohozqJyMjo8Fi38/16OjRozJu3DipqKgQEZHCwkIBIABk2rRpddZPTU0VAJKUlHRfOTekdevWCQDZv3+/iIicO3dOAMiIESMsGksrPT1dAIiXl1edZaGhoRIUFCQajUZmzpwpTZs2FQCyZs0ak3K6fv26vPbaa5KSkmJyfqacTyyYiIishLkKJku6fPmy9O/fv8Hi1/d69Pvvv0vHjh0lPz9fpx2ADBgwQG/fV1ZWCgClwLJGffv2FQBy7do1pa1du3bi4OBg0Vi301cwZWRkyOuvv67TduDAAQEgXbp0MTmns2fPilqtlps3b5qUmynnE2/JERGRWVy5cgXDhg3DtWvXLJ2KDhFBUFAQJk+ejFatWtVZHhsbCxcXF0ydOhWXL19W2rWTqNrZ2T2wXE2lPZ6jR48CAEpKSpCfn4+BAwdaNJYhaWlpiIyM1Gnz9/dH27ZtkZuba3JOTz/9NDw8PDBv3jyz56rFgomI6BFRU1ODHTt2YNKkSfD19QUA7N69G9OnT4ebmxsKCgowadIktGnTBt27d8fp06cBACdPnsTcuXPRuXNnXL16FSNHjkTr1q3RvXt3xMfHAwA2bNiARo0aQaVSAQCKi4uxatUqnbYvvvgC586dQ05ODt566y0lr4SEBLi5ueHYsWMPsjsUu3fvxpkzZzB48GC9y52dnREXF4fS0lIEBgaisrLyrrGKioowf/58hIWFITg4GIMGDUJwcLAypsaY/gaA8vJyrFy5ElOmTEHPnj3x0ksv4bfffjP52KKiouDh4YFZs2YhPT0d0dHRmDdvHrZt22bRWIb4+PjAycmpTntFRQX69+9fr5wGDRqEDRs2ICUlxez5AuAYJiIiawEz3JK7c8xIZmamNG/eXABIRESEpKWlyZYtWwSA9OrVS6qrq2Xv3r3K+JF33nlHjh07Jtu2bRMHBwcBIImJiSIi4uHhIXdeNu5sg57bL9988400a9ZM9uzZc1/HJlK/69HYsWNFpVJJZWVlnWW35x4VFSUAZO7cuXqXFxcXi6enpyxevFhpy83NFU9PT3F3d5eCggKD/a01depUuXDhgvKzv7+/ODk5SVFRkUnHJiJy7do18fHxEVdXV5kzZ47J2zdULC1954Q+iYmJ0rRpUzlz5ky9cvrll18EgHz44YdG58YxTEREDyFzFEzaOLdfoLp27Vqn0HFycpImTZooP3t6egoAKSkpUdo++eQTASBjxowREREvL686ce5su9vFsaqq6v4O6v+rz/WoU6dO4ujoqHfZncczevRoUalUsm/fvjrLFyxYIAAkOztbZ5tNmzYJAAkJCRERw/196tQpZbD5nZ+9e/eadGwiImlpaTJs2DB5+eWXBYDMmzdPampqTI5j7lhaxhRMVVVV4uvrK19++WW9c8rKyhIAMmTIEKNz4xgmIiJSaG+Z3a5ly5a4deuW8nOjRrWXg2bNmiltAQEBAGofxb9fNjY29x2jvnJyctCyZUuj1t24cSO8vLwwadIkZGVl6SxLTEwEADg4OOi0DxgwAABw/PhxAIb7++eff4ZarYbUfmmh8xk6dKhJx/bTTz+hR48emDhxIr7++mv4+Pjgo48+wqJFi0yKY+5YplqyZAleeOEFjBkzpt45OTo6AgCuXr3aIDmyYCIiIr3at28PAHBzc7NwJvfHxsYG1dXVRq3bvHlzxMfHo6ysDEFBQTrLtEVlamqqTrt2LE6LFi2M2kd+fj5SUlJQWlpaZ1lNTY1RMbTCwsKQl5cHPz8/NG7cGNu3bwcArF+/3qQ45o5lir1798Le3h4LFy68r5z0FarmxIKJiIj0ys/PBwC8+OKLAP68IFVUVACoffqssLBQZxuVSoWqqqo6sYwtWBqCi4uL3skXtcXJnUWKl5cXPv/8cyQkJOi0a79J2rdvn057RkYGgD/7yRAvLy+UlpZixYoVOu3nz59HdHS0UTG0tL+Lxo0bAwBcXV3h5ORUr+LBnLGMdfDgQWRmZmL+/Pk67SdOnDA5pxs3bgCoHcTfEFgwERE9Qm7evAmg9mkurfLy8jrrFRcXA0Cd4ub2wubQoUPo0aMHpk+fDqD2Qg8AS5cuxaVLl7B69WrlNtOBAwdQU1MDDw8PZGdnK0UEUFtgODo64rvvvjPHIZrM19cXxcXFSt9oaR9f13cLZ9SoUZg9e7ZOW0hICNRqNdasWYOcnBylXaPRwMfHB2+//TYAw/09fPhwuLu7Izw8HG+++Sa2bduGhQsXYtasWZg8eTIAIDIyEk899ZTyjcrdjBs3DgCwf/9+AEB6ejquXr2qc2vLErG0tDOo6yuYDx8+jOXLl6O6uhoajQYajQbR0dGYM2eOkoMxOWnl5eUBAPr162dUbiYz96AoIiKqH9znoO+SkhIJCwtTBhCvWrVKli9frvy8dOlSKSwsVAZzA5DQ0FApKytTBm9//PHHkpeXJ7m5ubJ8+XKdiQCTk5OlV69eYm9vL/7+/pKcnCz9+/eX8ePHy/bt2+XWrVsSFhYmLi4usmvXLmW7gwcPSvv27eXIkSP31T8i9bse/fDDDwJAvv/+e6UtPj5ehgwZIgBk2LBh8uOPP9bZrrKyUvr166fTVlxcLCEhIeLv7y/BwcESEhIi4eHhcuvWLRER0Wg0RvV3amqqBAQESKtWrcTZ2VmmTZumMznjjBkzpFGjRtKhQweDx6fRaOT555+X4OBgefXVV2XRokVSXl5u8VgJCQkybdo0ASB2dnaycuVK+fXXX0VE5Pjx49KsWTO9A99VKpX88ccfRuek9emnn4qNjY3OtoaYcj6pREQMFVWjRo0CAOzYscOsxRoREf1JpVIhNjYWo0ePfuD77tatGy5cuAAjLgkWVd/r0dChQ+Hp6YmoqKiGSKtBJCcnY8KECTh58uQjG8ucAgIC4OzsbNKYK1POJ96SIyKiR15MTAz279/fYE9QmVtpaSnWrFmDzz777JGNZU6nTp1CcnJyndnDzalBC6bb76E/SJbar7XIzc3Fjh07sGzZMkunYjUuXbpk6RTq7a90PvPctZySkhKd/z5q2rVrh127dmH27Nl6n06zNikpKVi2bBnUavUjG8tcsrOzERERgUOHDtWZ8sGczF4wVVdXY8WKFejfvz9at25t7vD39PHHH8PX1/eB79eaXLhwAeHh4Rg9ejQ2b96ss6x3794ICQlp8Bwe1H7uJjo6GiqVSuezevVqk2LMnDkTbdq0gUqlgp2dHV555RUMHjwYPXv2xODBg7Fz584Gyv5PxpzPcXFx8Pb2hkqlglqtVgZYah0+fBiDBw+GSqVCz549ERcX19Bp1xvPXcsoKSnBggULlEHa7777rtXdajEXtVqNiIgIaDQaS6dikFqtNtvF31pjmUNVVRU2bdqErVu3wtXVtUH31SBjmMrLy9GhQwdcv379vu+HZ2ZmGt0Jt27dQocOHZCfn2/19+Eb0q1bt/DYY4/By8sL58+fV9rHjh2LJ554AuHh4Wbbl77fT0Psx1hVVVXw9fVVJtwDal+gOWHCBLRt29akWDk5OXBxcYGnpyeSkpIA1D7iOn/+fHzyySf4+OOPERwcbFLMhjifi4qKlPlfpk2bhn/+8586y9PS0tCpUyckJSXB09PTpHwftL/yuQtYdgzTw4JjasmcTDqfzD2KXEvfFPqmunz5svTv3/+B7/dRACPf3XM/6vP7aWibNm2SSRXpXQAAIABJREFUtWvXmi2evn6srKyUpk2biru7u0mxGvJ8BiADBgzQ+5RVZWWlAJCKigqT9m0pf9VzV8R8r0Z5lPGpbTInU84n2wYp2czgypUrGDZsmEUnO6O7s8bfj4hgxYoVSE9Px1dffYU+ffpg8uTJ6NSpk1n3Y2trCwcHB5PGFj2I/oqNjcVzzz2HqVOnomfPnujcuTOA2nwBwM7OrsH2/TCxxnOXiKxfgz8ld+nSJQQEBKBVq1Z4/vnncfToUWXZxYsXMWrUKISGhmLChAkYMGAA/u///g8A8MUXX+DcuXPIycnBW2+9pWxTUlKCpUuXYvz48Zg5cyb8/Pz0jk+5du0aRo4cidatW0OtVuPf//630Tnv3r0b06dPh5ubGwoKCjBp0iS0adMG3bt3x+nTp5X1ioqKMH/+fISFhSE4OBiDBg1CcHAwCgoKUFNTgx9++AGzZ89G586dkZWVBT8/P/ztb39DVlYWtm7dinHjxsHHxwcnT57Ec889h06dOiExMRHJycl49dVX0bZtW3Tr1k1nn4b6TZ+amhrs2LEDkyZNgq+vr9LeqlUrjBkzBrNnz8bs2bPh7OwMGxsb/Pzzz/X6/dxtP/fqJ1P625CioiIMGjQIvXv3xokTJxAeHg4vLy988MEHOuslJCTAzc0Nx44dMzr27Xbu3Inc3Fy88cYbOu2WPp+dnZ0RFxeH0tJSBAYGorKy8q7HwHPXus5dInoImPsrKy3trYRZs2bJwYMH5Z///KfY29uLjY2N/Oc//xERkSeeeEI8PDxEpPa2gaOjo6jVaiUG7vhqvrKyUvz8/GT8+PHKm4pjYmIEgOzZs0dnv++//76kpqbKvn37BID06dPH6NwzMzOlefPmAkAiIiIkLS1NtmzZIgCkV69eIlI7eZmnp6csXrxY2S43N1c8PT3F3d1dcnNzdSbm+vDDD+XQoUMyZcoUKS4ulkuXLgkAadGihezbt09+//13ASCdOnWSjz76SAoLC+WXX34RAOLn56eTn6F+09d36enpOm1VVVU6uX/33XcCQObPn2/0fu7ch779GOqngoICo/rbVIWFhRIRESG2trYCQD777DNl2TfffCPNmjVTzpl70f6OJk2aJEFBQdK3b19p2bKlrF+/vs7bsi15Pt/+v3JUVJQAkLlz5+pdznPXes9d8JacQbwlR+ZkFRNXaidBKyoqUkbU/+///i9mzpyJiRMn4osvvkBUVBRcXFwwZswYiAieeOIJpKenK++OUalUOoM/o6KiMGfOHJ3Bq9XV1di8eTNGjBgBR0dHZb81NTXKu2batGmDsrIykx6X9fLyQlJSks5gW2dnZxQUFKC8vBzvvfceIiIikJ2drfPems2bN2PChAkICQnBihUrlDjXr1+v87bsO4/P1dUVV65c0dmnk5MTKioqlHfkaPvhXv2mL7a+tvLycjz22GMoKCiAWq1Gq1at8O9//1t5Z4+pvx99+zG1n+7W3/W1fv16TJ8+Hc8995zOv/irq6uNenu6SqVCly5dcPjwYZSWliIjIwNfffUVYmJi8D//8z9YuXKl8kJOS57PKpVKp+8CAwOxY8cO7N27F0OGDNFZznPXes9dlUqFWbNmoU+fPiZt91einXjyzteWENVHVFQUXF1drW/Qd1pamgCQnj17Km03b94UjUYjH3zwgbi6uupsgzv+FRgQECAApKSkxKT91mcguKE4fn5+AkDntQEiIqmpqQJAmU7/Xvu+8/hMyf1e/aYv9t3aRETGjx8vjRs3VqasN3Y/d4t3e/v99JM5BvBXV1dL06ZNpXnz5vXa/m7HuGbNGgEgy5cv12m31Pl858/FxcXSrVs3adu2rVy5ckVnOc9d6z13oec1Efzww0/Dfoytbx7oTN9OTk4AgI4dOwIAfv75Z3Tv3h3u7u5477330Lx583tur52h9eLFiw2bqBG03yqkpqbqtGuPUfuYd0Mwtd/u5euvv8bmzZuxZMkSPPPMM2bfjyX7Sbv/Vq1aoUuXLmaNq/3W9ZtvvlHarOl8bt68OeLj41FWVoagoCCdZTx3jWOpfoqNjYWI8HOXz8iRIzFy5EiL58HPo/EZOXKk0f9vPtCCSTsx2rBhwwAAEyZMQGVlJQYPHgygduDl7VQqlc6btLV/FCMiIiAiSntaWhq+/fbbBs39TgMGDABQ+xbu22mP8cUXX2ywfRvqN2Pl5eVh+vTp6NOnD+bNm6e0nz171qj93Pn70ceS/QQAWVlZyMrKUgocrft9Qkpb7Li4uChtljqftfu5c39eXl74/PPPkZCQoNPOc/fhOHeJyMqIEepzS65bt24CQK5fv660zZgxQ4YPH6783KJFC1GpVPL999/L1q1bpV27dgJATp06JRkZGdKlSxext7eX9PR0ERFJSUkRe3t7ASADBw4UjUYjCxculOnTpyuDZtu3by8ApKioSNmPi4uLAHW/Wr+XTp06yZ3d06FDBwEglZWVUlpaKmq1WlxdXSU7O1tZZ+bMmeLj4yOVlZU6ce7cd1lZmQCQrl27Km0eHh4CQIqLi+vkUV1dbXS/lZaWClA7CFeruLhYAEj79u2Vtv/+7/8We3t7uXjxotJ2/fp1CQ0NNWo/d/5+9O3H1H66W38bY8mSJfLuu+/K+fPnlT4OCAiQV199Vaf/9u7dK82bN5dvv/32nvG0v6OOHTvqtF+9elX69u0rjRs3lp9++klpt9T5nJ2dLQAkKytL73HMnj1bp2957lrfuasFcNC3IRz0TeZkyvlks3jx4sWGiirtYChTZp/t2rUrCgoKsHnzZpw4cQKHDh1Ct27d8NFHHymDVx9//HH861//wn/+8x+8/vrrcHd3x6lTp5Ceno6RI0eisLAQ58+fh7e3N7p164aWLVsiICAAKSkpOH36NE6ePIkuXbpg2bJlaNKkCSIjIxEfHw8AKCsrQ//+/bF69Wp89dVXAGpnEfbz8zM42Hft2rXYtm0bgNq5a7y9vbFu3TqlHyorK+Hn54c33ngDN27cwLp163D27FkcPnwYjo6O2LBhAyorK7F8+XJl33l5eXBzc4OzszNyc3MRHh6OEydO4ObNm+jTpw8uXbqEtWvXoqamBiUlJejVqxc2btyI7du3A6i9xeLl5YVmzZrds9969OiByMhInDp1CgUFBWjZsiU6duyIyMhI/Otf/0JxcTFatGiBpKQkfPjhh+jatSvy8/Nx4MAB7Ny5E++99x78/PzQp08fk38/paWliIiI0NmPt7c3/h979x4XVbnvD/wzApoXErwhCiWSSImFxxdp4u1ooSnhrq2gRqaVuuWoqSiC/nSXiZF5fcHs2prR1jTFdJuiJy+I2kYxd1rnaCoqgSIXgUQRkOv39wdnVgwDzgwMzICf9+vFq+ZZaz3rux4Ws76u9aznee+992ptJxsbG4Pae/Dgwcp4QrX57bffEBMTg4iICFy6dAlHjhzB5MmTsXz5cuWcA4CbN2/iv//7v+Hv76+MVVTd3r17sWLFCvz666+4d+8evv/+e+zZswefffYZPv/8c7i7u2P79u3w9PRUtjHH+Xz37l189NFHuHbtGq5evYqnnnpKeeStMXLkSMTHxyvDINjY2GDKlCk8dy3o3NX48MMPMWHCBPTp08eg9R9HdbkeEdXGmPOpwd6SIyIi43BqFP14PSJTMuZ8atQ+TJag+qSsNf1o5g0jy8HfGxERmZPFTo3SUAy4oUYWiL83IiIyp8fuDhMRERGRsZgwERHRY+PatWtYu3YtYmJi4OnpCZVKBQ8PDxQVFWmtFxcXh9GjR0OlUsHLywsxMTFmili/bdu2wc/PD2FhYRgxYgSCgoKU+Q7NWVd6ejqio6MREBCAQYMG1bjOli1b0K9fP9ja2sLT0xPR0dFGxVReXo7Q0FDcvn27TjEaxdSv3RERUd3AjMMK3Lp1q0nUXZ/r0YkTJ2Ty5MlSUlIiIpVzTuL/RnueMWOGzvqaUd2vXr1ar5gb0ueffy4A5NChQyIicunSJQEgf/rTn8xal0b1ORqrCg0NlcDAQFGr1fL+++9L69atBYBERkYaFdPvv/8ub7zxhiQnJxsdnzHnE+8wERE95lJSUjB58uQmV7cxLl++jClTpiAyMhI2NjYAKocCASoHKd20aZPOXaTu3bsDQK3Dj1iCrVu3AgC8vLwAAM899xy6dOmCuLg4s9al4ezsXGN5Wloabt26hW3btiEoKAgbNmzAvn37AAAbN240KiZ7e3v89a9/hZ+fn1FzxhqLCRMR0WPs9u3b8PX1RXZ2dpOq2xgigsDAQEybNg0dOnTQWb5r1y44Ojpi+vTp+O2335RyzfhZmgTLEmmO58SJEwCAgoIC5ObmYsSIEWatS5/U1FSsXbtWq8zHxwedO3fGnTt3jI7p+eefh6urq9bI/6bGhImIqIm6f/8+Fi9ejLCwMAQHB2PUqFEIDg5W+nds3rwZLVq0UAZuzc/Px7p167TKvvrqK1y6dAmZmZmYNWsWACAxMRELFy6Ei4sLsrKyMH78eHTs2BF9+/ZVBlOta90AEB8fD2dnZ5w6dapR2mn//v04f/68MlVOdV27dkVMTAwKCwsREBCA0tLSWuvS1+b79+/HzJkz4ezsjLy8PEydOhWdOnVC37598dNPPyn1PHz4EKtXr8Z7770HLy8vvPLKK7h48aLRx7Z+/Xq4urpi3rx5uHnzJqKiorBo0SJlQFVz1aWPt7e3Mi9jVSUlJRgyZEidYho1ahQ2b96M5ORkk8cLgH2YiIgsBYzow5Sfny9ubm7ywQcfKGV37twRNzc36dmzp+Tl5YnIH9PWVFW9DFX6mJSXl0tsbKzSn2TOnDly6tQp2bFjh9ja2goASUhIqFPdGt999520adNGDhw4YNCxVlWX69GkSZNEpVLVOFVN1VjXr18vAGThwoU1LjekzdPS0qRdu3YCQMLDwyU1NVW+/vprASADBgxQtps+fbpcuXJF+ezj4yMODg5a0yAZKjs7W7y9vcXJyUkWLFhg9PYNVZdGTedATRISEqR169Zy/vz5OsV04cIFASAff/yxwbEZcz4xYSIishDGJExLly4VAFrz3ImIbN26VQBISEiIiIi4u7vrJDXVy2q6oLm5uQkAKSgoUMo2bNggAGTixIn1qltEpKyszKDjrK4u16MePXqInZ1djcuqx+/v7y8qlUoOHjyos9zQNu/du7dOvQ4ODtKqVSsRETl79qzS2bz6T2xsrFHHJiKSmpoqvr6+8uqrrwoAWbRokTIfpTnr0jAkYSorK5Nhw4bJN998U+eY0tPTBYCMGTPG4NjY6ZuIqJlLSEgAANja2mqVDx06FABw+vTpetXfokXl5aFNmzZKmZ+fH4DKV/PrS9+cnqaUmZkJe3t7g9bdsmUL3N3dMXXqVKSnp2stM7TNq85dqWFvb4/i4mIAwLlz5+Dh4QGpvGmh9TN27Fijju3HH39E//798fbbb2Pfvn3w9vbGp59+iuXLlxtVj6nrMtaHH36IkSNHYuLEiXWOyc7ODgCQlZXVIDEyYSIiaoI0CU1KSopWuaZfSPv27U2+z27dugGo/c0nS2VlZYXy8nKD1m3Xrh327t2LoqIiBAYGai0zVZvn5uYiOTkZhYWFOssqKioMqkMjLCwMOTk5GD58OFq2bKlMer1p0yaj6jF1XcaIjY1F27ZtsWzZsnrFVFOiakpMmIiImiDNXY2DBw9qld+6dQsA8PLLLwP44yJSUlICoPKNsXv37mlto1KpUFZWpnefubm5Jqvb0ATGFBwdHWscfFGTnFRPUtzd3fHll18iPj5eq9zQNtfH3d0dhYWF+OSTT7TKL1++jKioKIPq0NC0fcuWLQEATk5OcHBwqFPyYMq6DHX06FGkpaVh8eLFWuVnzpwxOqa7d+8CqOzE3xCYMBERNUEhISHw8PBAZGQkMjMzlXK1Wg1vb2/Mnj0bQOXFGQBWrlyJ69evY+PGjcqjocOHD6OiogKurq7IyMhQLvxVVU1sjh07hv79+2PmzJn1qvvgwYOws7PD999/b8omqdWwYcOQn5+PBw8eaJVrXl+v6RHOhAkTMH/+fK0yQ9v84cOHOvXl5+cDAMrKyjBu3Dj07NkTK1aswLvvvosdO3Zg2bJlmDdvHqZNmwYAWLt2Lfr06aPcUamNZoyrQ4cOAQBu3ryJrKwsrUdb5qhLQzOCek0JclxcHCIiIlBeXg61Wg21Wo2oqCgsWLBAicGQmDRycnIAAIMHDzYoNqOZulMUERHVDYwc6Ts/P19CQkLEx8dHgoODJSQkRFasWCHFxcXKOklJSTJgwABp27at+Pj4SFJSkgwZMkTeeust2blzpxQXF0tYWJg4OjrKnj17lO00nbfXrFkjOTk5cufOHYmIiJAHDx7Uu+6jR49Kt27d5Pjx40a3UV2uRydPnhQAcuTIEaVs7969MmbMGAEgvr6+8sMPP+hsV1paKoMHD9Yq09fmarVa6cC9cuVKuXfvntJZHoCEhoZKUVGRpKSkiJ+fn3To0EG6du0qM2bMkOzsbGU/QUFB0qJFC+nevbve41Or1fLiiy9KcHCwvP7667J8+XJ5+PCh2euKj4+XGTNmCACxsbGR1atXy88//ywiIqdPn5Y2bdrU2PFdpVLJjRs3DI5J47PPPhMrKyutbfUx5nxSieifBn7ChAkAgN27dzdAykZEREDl46tdu3bB39/f3KHg2WefxZUrV2DAJaJR1fV6NHbsWLi5uWH9+vUNEVaDSEpKwpQpU5CYmNhs6zIlPz8/dO3a1ag+V8acT3wkR0REzV50dDQOHTrUYG9QmVphYSEiIyPxxRdfNNu6TOns2bNISkrSGT3clJgwERGRDs2cXA05N1dj6tKlC/bs2YP58+fX+HaapUlOTsaqVavg4eHRbOsylYyMDISHh+PYsWM6Qz6YEhMmIiJSFBQUYOnSpUon7blz51rco5e68vDwQHh4ONRqtblD0cvDw8NkF39LrcsUysrKsHXrVmzfvh1OTk4Nui/rBq2diIialLZt2yI8PBzh4eHmDqVBuLi4NOgErdS4rK2tdYYkaCi8w0RERESkBxMmIiIiIj2YMBERERHpwYSJiIiISA+DO30nJiYqAzwREVHDWL9+PQcJfgTNG3u8HpEpJCYmYuDAgQata1DC9NJLL9UrICIiQ124cAEA0K9fPzNH0vjGjx9v7hAsnqEXNyJDDBw40OAcx6CpUYiIGotmWpCYmBgzR0JE9Af2YSIiIiLSgwkTERERkR5MmIiIiIj0YMJEREREpAcTJiIiIiI9mDARERER6cGEiYiIiEgPJkxEREREejBhIiIiItKDCRMRERGRHkyYiIiIiPRgwkRERESkBxMmIiIiIj2YMBERERHpwYSJiIiISA8mTERERER6MGEiIiIi0oMJExEREZEeTJiIiIiI9GDCRERERKQHEyYiIiIiPZgwEREREenBhImIiIhIDyZMRERERHowYSIiIiLSgwkTERERkR5MmIiIiIj0YMJEREREpAcTJiIiIiI9mDARERER6cGEiYiIiEgPJkxEREREelibOwAienwVFhaiuLhYq6ykpAQAcPfuXa3yVq1aoU2bNo0WGxFRVSoREXMHQUSPp7/97W/4r//6L4PWVavVCAoKauCIiIhqxoSJiMwmOzsbjo6OKC8vf+R6VlZWyMjIQOfOnRspMiIibezDRERm07lzZ4wcORJWVla1rmNlZYWXX36ZyRIRmRUTJiIyq8DAQDzqRreIIDAwsBEjIiLSxUdyRGRW+fn56Ny5s07nb42WLVsiOzsbTz75ZCNHRkT0B95hIiKzsrW1xWuvvQYbGxudZdbW1hg3bhyTJSIyOyZMRGR2b775JsrKynTKy8vL8eabb5ohIiIibXwkR0RmV1JSgk6dOiE/P1+rvF27dsjJyUGrVq3MFBkRUSXeYSIis2vZsiUmTJiAli1bKmU2NjYICAhgskREFoEJExFZhMmTJyujfANAaWkpJk+ebMaIiIj+wEdyRGQRKioq0LVrV2RnZwMAOnXqhMzMzEeO0URE1Fh4h4mILEKLFi0wefJktGzZEjY2NnjzzTeZLBGRxWDCREQWY9KkSSgpKeHjOCKyONbmDsBYaWlpOH36tLnDIKIGICLo2LEjAOC3335DSkqKeQMiogYxaNAgODk5mTsMozS5PkwxMTEICAgwdxhERERUR7t27YK/v7+5wzBKk7vDpNHE8jwiMtCvv/4KAHjuuecafF+af4Dx++TRVCpVk7zAkWVSqVTmDqFOmmzCRETNU2MkSkRExmKnbyIiIiI9mDARERER6cGEiYiIiEgPJkxEREREejBhIiIiItKDCRMRERGRHkyYiIhMYODAgQgJCTF3GBbn2rVrWLt2LWJiYuDp6QmVSgUPDw8UFRVprRcXF4fRo0dDpVLBy8sLMTExZopYv23btsHPzw9hYWEYMWIEgoKCkJeXZ/a60tPTER0djYCAAAwaNKjGdbZs2YJ+/frB1tYWnp6eiI6ONiqm8vJyhIaG4vbt23WKsUmTJmbXrl3SBMMmIgtkyu+TiRMnyrJly0xSV13cunWrweoGILt27TJ6uxMnTsjkyZOlpKRERETu3bsnAASAzJgxQ2f9lJQUASBXr16td8wN5fPPPxcAcujQIRERuXTpkgCQP/3pT2atS+PmzZsCQNzd3XWWhYaGSmBgoKjVann//feldevWAkAiIyONiun333+XN954Q5KTk+sUY13PJ3NrcpkHEyYiMpXm8n3y22+/yZAhQxqs/rpc4H799Vd56qmnJDc3V6euoUOH1lhnaWmpAFASLEs0aNAgASDZ2dlKWZcuXcTW1tasdVVVU8J069YtefPNN7XKDh8+LADkmWeeMTqmX375RTw8POTBgwd1iq8pJkx8JEdE1ITdvn0bvr6+yM7ONncoChFBYGAgpk2bhg4dOugs37VrFxwdHTF9+nT89ttvSrm1deXkEzY2No0Wq7E0x3PixAkAQEFBAXJzczFixAiz1qVPamoq1q5dq1Xm4+ODzp07486dO0bH9Pzzz8PV1RWLFi0yeayWigkTEVE9VFRUYPfu3Zg6dSqGDRsGANi/fz9mzpwJZ2dn5OXlYerUqejUqRP69u2Ln376CQCQmJiIhQsXwsXFBVlZWRg/fjw6duyIvn37Yu/evQCAzZs3o0WLFsrcW/n5+Vi3bp1W2VdffYVLly4hMzMTs2bNUuKKj4+Hs7MzTp061ZjNAaDy+M+fP4/Ro0fXuLxr166IiYlBYWEhAgICUFpaWmtd9+/fx+LFixEWFobg4GCMGjUKwcHBSp8aQ9oaAB4+fIjVq1fjvffeg5eXF1555RVcvHjR6GNbv349XF1dMW/ePNy8eRNRUVFYtGgRduzYYda69PH29oaDg4NOeUlJCYYMGVKnmEaNGoXNmzcjOTnZ5PFaJHPf4jJWc7mFTkTmZ6rvk+r9RtLS0qRdu3YCQMLDwyU1NVW+/vprASADBgyQ8vJyiY2NVfqQzJkzR06dOiU7duwQW1tbASAJCQkiIuLq6qoTY/Uy1PAI5rvvvpM2bdrIgQMH6n18MPIRyqRJk0SlUklpaWmNdWmsX79eAMjChQtrXJ6fny9ubm7ywQcfKGV37twRNzc36dmzp+Tl5elta43p06fLlStXlM8+Pj7i4OAg9+/fN/i4NLKzs8Xb21ucnJxkwYIFRm/fUHVp1HQ+1CQhIUFat24t58+fr1NMFy5cEADy8ccfGx1fU3wk1+QyDyZMRGQqpvw+qX6R6t27t07dDg4O0qpVK+Wzm5ubAJCCggKlbMOGDQJAJk6cKCIi7u7uOvVUL6vtAllWVla/g6pSvzEXuB49eoidnV2tdVXl7+8vKpVKDh48qLN86dKlAkAyMjK0ttm6dasAkJCQEBHR39Znz55VOptX/4mNjTX4uDRSU1PF19dXXn31VQEgixYtkoqKCqPrMXVdGoYkTGVlZTJs2DD55ptv6hxTenq6AJAxY8YYHV9TTJj4SI6IqAFoHplVZW9vj+LiYuVzixaVX8Ft2rRRyvz8/ABUvo5fX1ZWVvWuoy4yMzNhb29v0LpbtmyBu7s7pk6divT0dK1lCQkJAABbW1ut8qFDhwIATp8+DUB/W587dw4eHh6QypsEWj9jx4416th+/PFH9O/fH2+//Tb27dsHb29vfPrpp1i+fLlR9Zi6LmN9+OGHGDlyJCZOnFjnmOzs7AAAWVlZDR6vJWDCRERkQbp16wYAcHZ2NnMkdWdlZYXy8nKD1m3Xrh327t2LoqIiBAYGai3TJJQpKSla5Zq+OO3btzdoH7m5uUhOTkZhYaHOsoqKCoPq0AgLC0NOTg6GDx+Oli1bYufOnQCATZs2GVWPqesyRmxsLNq2bYtly5bVK6aaEtXmjAkTEZEFyc3NBQC8/PLLAP64KJWUlACofAPt3r17WtuoVCqUlZXp1GVo0mJqjo6ONQ6+qElOqicp7u7u+PLLLxEfH69VrrmTdPDgQa3yW7duAfijjfRxd3dHYWEhPvnkE63yy5cvIyoqyqA6NDS/h5YtWwIAnJyc4ODgUKfkwZR1Gero0aNIS0vD4sWLtcrPnDljdEx3794FUNmJ/3HAhImIqJ4ePHgAoPKNLo2HDx/qrJefnw8AOslN1cTm2LFj6N+/P2bOnAmg8mIPACtXrsT169exceNG5VHT4cOHUVFRAVdXV2RkZCiJBFCZZNjZ2eH77783xSEaZdiwYcjPz1faRUPz+npNj3AmTJiA+fPna5WFhITAw8MDkZGRyMzMVMrVajW8vb0xe/ZsAPrbety4cejZsydWrFiBd999Fzt27MCyZcswb948TJs2DQCwdu1a9OnTR7mjUpvJkycDAA4dOgQAuHnzJrKysrQebZmjLg3NCOo1JctxcXGIiIhAeXk51Go11Go1oqKisGDBAiUGQ2LSyMnJAQAMHjzYoNiaPHPvNrd7AAAgAElEQVR2oKoLdvomIlMxxfdJQUGBhIWFKZ2I161bJxEREcrnlStXyr1795TO3AAkNDRUioqKlM7ba9askZycHLlz545ERERoDQaYlJQkAwYMkLZt24qPj48kJSXJkCFD5K233pKdO3dKcXGxhIWFiaOjo+zZs0fZ7ujRo9KtWzc5fvx4vY5PxPhOuidPnhQAcuTIEaVs7969MmbMGAEgvr6+8sMPP+hsV1paKoMHD9Yqy8/Pl5CQEPHx8ZHg4GAJCQmRFStWSHFxsYiIqNVqg9o6JSVF/Pz8pEOHDtK1a1eZMWOG1uCMQUFB0qJFC+nevbve41Or1fLiiy9KcHCwvP7667J8+XJ5+PCh2euKj4+XGTNmCACxsbGR1atXy88//ywiIqdPn5Y2bdrU2PFdpVLJjRs3DI5J47PPPhMrKyutbQ1h7PlkKVQiIo2Yn9VbTEwMAgIC0MTCJiILZO7vk2effRZXrlyx+O8zlUqFXbt2wd/f3+Btxo4dCzc3N6xfv74BIzOtpKQkTJkyBYmJic22LlPy8/ND165dje5zVZfzyRLwkRwREZlcdHQ0Dh061GTeoCosLERkZCS++OKLZluXKZ09exZJSUk6o4c3Z0yYHkN37tzB7t27sWrVKnOHolf1zq3U8JrS+dHUFRQUaP23OenSpQv27NmD+fPn1/h2mqVJTk7GqlWr4OHh0WzrMpWMjAyEh4fj2LFjOkM+NGdMmB4zV65cwYoVK+Dv749t27ZpLRs4cCBCQkIaZL9btmxBv379YGtrC09PT0RHR9e6bnFxMVatWoVBgwahY8eODbqv2vzzn/+Ev78/VCoVVCoVTp48Weu6p0+fVtYbP368MgeTKSQkJGD06NFQqVSwsrKCj48PRowYgaFDh2LOnDlac0CZgiWeH8eOHcOYMWOUNh4xYgRGjBgBLy8vjBs3Dlu2bFHe7GkqCgoKsHTpUqWT9ty5cy3ucYspeHh4IDw8HGq12tyh6OXh4WGyi7+l1mUKZWVl2Lp1K7Zv3w4nJydzh9O4zNqDqg7Y6bv+Hj58WONIsBMnTpRly5aZfH+hoaESGBgoarVa3n//fWU6iMjIyFq3KSoqkg4dOhj9u67LvmpTWFiodIr08/Ordb1JkyYpnSkzMzON3o8+t2/fFgDSq1cvpSwrK0tGjhwpdnZ28u9//9uk+7PE80PTBi4uLkpZRUWFHDhwQFxdXaVXr15y6dIlo/fN7xPDoIl20iXL1FTPpyb3TcEvONOo6YLYEG7duiVvvvmmVtnhw4cFgDzzzDOP3LamKSEaal+1ASDe3t7SokULuXbtms7yjIwMGTVqlNGx1iWO6r+vixcvCgB54403GmV/DcGY31ltMaWnp4ujo6O4urpKUVGRUfvn94lhmuoFjixTUz2f+EiOGlRqaqpOp0AfHx907tzZ5I+TGmpf8+bNQ0VFBTZu3KizbNOmTVozxDemp59+GgBw+/Zts+zfFEzxO3N0dMRHH32EGzduPFYdUImocTX7hKmwsBDbt2/H5MmT4e3tjcTERPzHf/wHevTogYSEBCQlJeH1119H586d8eyzz+Knn37S2v7atWuYMGECQkNDMWXKFAwdOhT/+7//CwD4n//5H/j4+EClUsHPzw+///47QkJC8NRTT+n0/3iUxMRELFy4EC4uLsjKysL48ePRsWNH9O3bF3v37lXWu3//PhYvXoywsDAEBwdj1KhRCA4O1hpR15B1qquoqMDu3bsxdepUDBs2DACwf/9+zJw5E87OzsjLy8PUqVPRqVMn9O3bV6eNoqKi8NZbbyEoKAhPPPGE0tdEpVLB29tbmcagqpKSEgwZMkT5XFRUhODgYMycORPLli3DkiVLjO4Ia+i+4uPj4ezsjFOnThlU7+uvv46nn34a0dHRWu1YWlqKw4cP47XXXqt124Y8f3788UfluIHmfX7oM378eFhZWeHIkSMGb0NEZBRz3+IylrG30CsqKuT69esCQNq3by8HDx6UX3/9VQBIjx495NNPP5V79+7JhQsXBIAMHz5ca/tevXqJq6uriFQOqmZnZyceHh7K8oKCAnnuuefExcVFiouLxc/PT5KSkgyOr7y8XGJjY5V+G3PmzJFTp07Jjh07xNbWVgBIQkKC5Ofni5ubm3zwwQfKtnfu3BE3Nzfp2bOn5OXlGbSOBqo93rh586ZWWVpamrRr104ASHh4uKSmpsrXX38tAGTAgAHKdpGRkWJlZSW5ubkiIvLxxx8LAAkODq71mBMSEqR169Zy/vx5EamcNXvAgAEyffp0ZZ0bN26ItbV1vR+XVN+XiMh3330nbdq0kQMHDujdXrP/NWvWCABZvXq1smznzp2yZs0aEan98aGpzh8A4ubmJuXl5ZKbmyv79u2Tp59+Wp588km5cuVKsz4/aoupOkdHR+nYsWOty2vCR3KGQRN9hEKWqameT4/NwJUqlQru7u64fPkygMr5cW7fvq1Vj4ODA0pKSpT5cQBg/fr1cHR0xMSJEyEi6NWrF27evKn1Vs5PP/2EgQMHwsvLCzNmzMDUqVONPq7evXsjKSkJBQUFyszlGzduxLx58zBx4kS4uroiPDwcGRkZWvP2bNu2DVOmTEFISAhsbGz0rqOZS6l6e9RU5u7ujqtXr2q1UdeuXZGXl6dMRTBu3DjExsbi4cOHsLGxwaVLl+Dh4YGBAwcqcxNVVV5ejpEjR+Ivf/mLMtS+Wq3G7NmzcfnyZWUaiKptUtdTtKZ9VV1myEzuKpVKmbvLyckJ9vb2SE5OhrW1NUaNGoWdO3fC3t6+1gEITXX+VJ3H6YknnkCXLl3g4+ODkJAQ9OrVC//v//2/Znt+1Lb/6p566imUl5cb9YhS830yfvx4g7d5HH377bcYOHDg4/dWFDWIb7/9lgNXNiU1vabZoUMHnUcT8+fPx2uvvYa//e1vCA8PR3FxMUpLS7XW6d+/PxYvXoyzZ8+iX79+dYpHMyu3JlkCKkdRBSof6yQkJNQYt2ZyytOnTxu0jjFqmmzR3t5emccKAF555RVUVFQok2M+8cQTAIARI0bUWOeHH36IkSNHal0MNY9RevToobWupk3qqqZ9aRiSLFXVvn17TJs2Dbdu3cKePXvwyy+/oGfPnrC3t3/kdqY8f9zd3SEiKCoqQmpqKjZv3oxevXoBQLM+PwxRWlqKrKwseHp6GrUdEZGhrM0dgKU7d+4cAgIC8Le//Q1BQUHYvn27zjoighs3bsDZ2RlvvfUW/v3vfyszPddHt27dAADOzs7KpJ4pKSno06ePso6m/0f79u2VSRcftY6pzZ49G61bt8a7776LhIQEXLt2DStWrMCSJUt01o2NjUXbtm11ZsnW3BHIzc1F9+7dTRJXbfuqj7lz50KtVmP9+vXo27evzkShNWms80eTXDbH88MQx48fR0lJCUaOHFmnOHfv3l2n7R4XKpUK8+fPb3J3BMgy1fSPrabgsb3DZKgpU6agtLQUo0ePBlDZAba61atX44033sCXX36Jixcv4q9//atJ9p2bmwsAePnll5W7AJp/qWtoBr4zdB1TKy8vx8WLF5GYmIhPP/0U+/btw7Jly3Tu4Bw9ehRpaWk6F8MzZ84oj+Gqx11Xj9pX1bj10fyuNf995pln4Ovri7Nnz+L27dt47rnnlHVre2zYWOdPcz4/9CkpKcGSJUvQr18/zJ0716TxExFpPBZ3mDT9Kape1DSPRR48eIB27dpprVdRUaH8iz0jIwP379/H0aNHkZ2drTyy+/HHH9GtWzfcvn0bv/zyi/JFP2vWLHz66ad49dVXlQuUMar2rTl27Bj69++PmTNnorS0FN9++y0iIyMxZcoUpQ+KWq2Gt7c3Zs+ebdA6AJQ7DZrj1bQDAOVOVvXlGvn5+QAqR3u1trbGqlWrcODAAfTt2xfJycl48skn0alTJ/Ts2VM5jri4OEREROCNN95QRvwVESQnJ6Nt27ZYtGgRdu3ahSVLluDpp5/G0KFDkZiYiPT0dACVd0SqP66rjb59vfTSSzh48CAmTpyI3bt3K4lMTTSvtWdlZcHR0RFA5SO2/fv3IygoSGtdzRt9Dx8+VB47AaY5f27evAngj99bTUJCQprt+fHSSy/VGBMAXLhwAfPmzcPdu3dx8OBBWFs/Fl9pRGQOjdzJvN6MfaslKytLFixYIACkVatWcuzYMTl8+LDyBtbcuXMlNzdXIiMjRaVSKW9C5eTkiIiIWq2W9u3by4svviiJiYmyceNGsbe3l3HjxsnmzZulc+fOMmvWLGV/S5YsEQBiZ2cn0dHRBsepectqzZo1kpOTI3fu3JGIiAh58OCBsk5+fr6EhISIj4+PBAcHS0hIiKxYsUKKi4sNXic5OVnmzp2rjGC9YcMGuX37toSFhSll69atk4iICOXzypUr5d69e7JhwwalLDQ0VIqKiuTo0aPi4OCglGt+OnfuLHv27JHTp08ro2BX/1GpVHLjxg0RETl16pR4e3uLra2t9OzZUyIiImTo0KHyl7/8ReLi4qS8vFxvGxq6r6NHj0q3bt3k+PHjtdb13XffyWuvvSYAxNfXV+Li4pRlf/7zn5V4fv31V1m6dKmyH39/f4mPj1fWre/5c/bsWfH391fq/6//+i9JTEysMebmen7861//knfffVcpHz58uIwaNUr8/Pzkz3/+s6jVaq2/E2PwLTnDoIm+1USWqameT4/NW3KWrra3rCxddHQ0cnJysGjRIgCVd+fS09MRHx+PhQsXNpmZyqlhWPr50Vy/T0xNpVI1ybeayDI11fOJ968bmCGd265cudIIkZjeJ598gtDQUKWvFVDZ+djJyQmDBw82WQduwPB27N27t8n2SfXTmOcHEVFDY6fvBiaV8/U98qd3795KHxhjR7c2p3/9618AgM8//1zronj+/HmEhobi66+/Ntm+DG1HshyNeX4QETU0JkxmVlBQgKVLlypvKs2dOxeJiYlmjsow//jHPzBnzhxs2bIFTk5O8Pb2hr+/P86fP4+vv/5a6y0yevzw/CCgchy5tWvXIiYmBp6enlCpVPDw8NB5iSEuLg6jR4+GSqWCl5cXYmJizBSxcSIjI032mnx960pPT0d0dDQCAgIwaNCgGtfZsmUL+vXrB1tbW3h6eiI6OlpnnW3btsHPzw9hYWEYMWIEgoKClBdWysvLERoa2qTnsKyzRuwvZRLspElEpmLu75Nbt241ibpRx066J06ckMmTJ0tJSYmIiNy7d0/pvD9jxgyd9VNSUgSAXL16td4xN4Zz584pLy1YSl3VpzGqKjQ0VAIDA0WtVsv777+vTMkVGRmprPP5558LADl06JCIiFy6dEkAyJ/+9Cdlnd9//13eeOMNSU5OrlOMdT2fzI13mIiIzCAlJQWTJ09ucnUb6vLly5gyZQoiIyNhY2MDAHjyyScBVI4btmnTJp27SJp+bS4uLo0bbB3k5eVh3759cHZ2tqi6aqsjLS0Nt27dwrZt2xAUFIQNGzZg3759ACqn4dLYunUrAMDLywsA8Nxzz6FLly6Ii4tT1rG3t8df//pX+Pn5NaluJPXFhImIqJHdvn0bvr6+yM7OblJ1G0pEEBgYiGnTpqFDhw46y3ft2gVHR0dMnz4dv/32m1KuGUdLk2BZspUrVyIkJMQkj+NMWVdtUlNTsXbtWq0yHx8fdO7cWRlzDoDy+zpx4gSAym4jubm5OtMZPf/883B1dVXegH0cMGEiIjLC/fv3sXjxYoSFhSE4OBijRo1CcHCw0sdj8+bNaNGihXLxy8/Px7p167TKvvrqK1y6dAmZmZmYNWsWACAxMRELFy6Ei4sLsrKyMH78eHTs2BF9+/bF3r1761U3AMTHx8PZ2RmnTp1q8Dbav38/zp8/X+vAsF27dkVMTAwKCwsREBCgM79iVfrae//+/Zg5cyacnZ2Rl5eHqVOnolOnTujbty9++uknpZ6HDx9i9erVeO+99+Dl5YVXXnkFFy9erNPxRUZGwt/fX7ljVh+mrOtRvL29lWmQqiopKcGQIUOUz+vXr4erqyvmzZuHmzdvIioqCosWLcKOHTt0th01ahQ2b96M5OTkBo3dYpj7maCxzN3ngIiaD2O/T/Lz88XNzU0++OADpezOnTvi5uYmPXv2lLy8PBERcXV11am3ehmq9DMpLy+X2NhYpU/JnDlz5NSpU7Jjxw6xtbUVAJKQkFCnujW+++47adOmjRw4cMDg461anzF9TiZNmiQqlUpKS0trrEtj/fr1AkAWLlxY43JD2jstLU3atWsnACQ8PFxSU1Pl66+/FgAyYMAAZbvp06fLlStXlM8+Pj7i4OAg9+/fN/i4RETOnDkj69atUz5rBh2uC1PWVVVNv/+aJCQkSOvWreX8+fNa5dnZ2eLt7S1OTk6yYMGCWre/cOGCAJCPP/7Y6PiaYh+mJpd5MGEiIlMx9vtEM6p7RkaGVvnWrVsFgISEhIhIzRe+6mU1XdTc3NwEgBQUFChlmhHUJ06cWK+6RUTKysoMPtaqjL3A9ejRQ+zs7Gqtqyp/f39RqVRy8OBBneWGtnfv3r116nVwcJBWrVqJiMjZs2drHE0egMTGxhp8XLm5ufLOO+9IRUWFUlbXJMeUdVVnSMJUVlYmw4YNk2+++UZnWWpqqvj6+sqrr74qAGTRokVacWqkp6cLABkzZozR8TXFhImP5IiIDJSQkAAAsLW11SrXzPt3+vTpetWvmcOyTZs2Spmfnx+Aytfz66v6pMcNJTMzE/b29gatu2XLFri7u2Pq1KnK/JEahrZ3TX1/7O3tUVxcDAA4d+4cPDw8ahy/bezYsQYf16xZsxAYGIikpCRcvXoVV69eVfZx9epVox5NmbKuuvjwww8xcuRITJw4Uav8xx9/RP/+/fH2229j37598Pb2xqefforly5fr1GFnZwcAZh+xv7EwYSIiMpAmoUlJSdEq1/QNad++vcn32a1bNwC1v/1kiaysrFBeXm7Quu3atcPevXtRVFSEwMBArWWmau/c3FwkJyejsLBQZ1lFRYVBdQCV/aVGjBgBd3d35UfTad3d3R2jRo0yS13Gio2NRdu2bbFs2TKdZWFhYcjJycHw4cPRsmVL7Ny5EwCwadMmnXUbspO6JWLCRERkIM2djYMHD2qVawaeffnllwH8cSEpKSkBUPnW2L1797S2UalUKCsr07tPzSjppqjb0CSmvhwdHZVO2VVpkpPqSYq7uzu+/PJLxMfHa5Ub2t76uLu7o7CwEJ988olW+eXLlxEVFWVQHQBQVFSkc4fK3d0dQOXvwZi7gKasyxhHjx5FWloaFi9erFV+5swZAH+cVy1btgQAODk5wcHBocbk6O7duwAqO/E/DpgwEREZKCQkBB4eHoiMjERmZqZSrlar4e3tjdmzZwOAcuFbuXIlrl+/jo0bNyqPWw4fPoyKigq4uroiIyNDufhXVTWxOXbsGPr374+ZM2fWq+6DBw/Czs4O33//vSmbpEbDhg1Dfn4+Hjx4oFWueX29pkc4EyZMwPz587XKDG3vhw8f6tSXn58PACgrK8O4cePQs2dPrFixAu+++y527NiBZcuWYd68eZg2bRoAYO3atejTp49yR6U+zFmXZgT1mpLjuLg4REREoLy8HGq1Gmq1GlFRUViwYAEOHToEAMr4XZrPN2/eRFZWls6jOwDIyckBAAwePNj4A2uKGr3XVD2x0zcRmUpdvk/y8/MlJCREfHx8JDg4WEJCQmTFihVSXFysrJOUlCQDBgyQtm3bio+PjyQlJcmQIUPkrbfekp07d0pxcbGEhYWJo6Oj7NmzR9lO0+l3zZo1kpOTI3fu3JGIiAh58OBBves+evSodOvWTY4fP250O8HITronT54UAHLkyBGlbO/evTJmzBgBIL6+vvLDDz/obFdaWiqDBw/WKtPX3mq1WunAvXLlSrl3757SUR6AhIaGSlFRkaSkpIifn5906NBBunbtKjNmzJDs7GxlP0FBQdKiRQvp3r27UW1TU0dtc9UVHx8vM2bMEABiY2Mjq1evlp9//llERE6fPq2MJF79R6VSyY0bN5R61Gq1vPjiixIcHCyvv/66LF++XB4+fKizv88++0ysrKy0tjWEseeTpVCJiDRyjlYvMTExCAgIQBMLm4gskKV9nzz77LO4cuWKxcSjoVKpsGvXLvj7+xu8zdixY+Hm5ob169c3YGSmlZSUhClTpphkPk9LrcuU/Pz80LVr1xr7Nz1KXc4nS8BHckREZHLR0dE4dOhQk3mDqrCwEJGRkfjiiy+abV2mdPbsWSQlJemMHt6cMWEiIrIQmnm5msP8XF26dMGePXswf/78Gt9OszTJyclYtWoVPDw8mm1dppKRkYHw8HAcO3ZMZ8iH5owJExGRmRUUFGDp0qVKJ+25c+da3OOXuvDw8EB4eDjUarW5Q9HLw8PDZBd/S63LFMrKyrB161Zs374dTk5O5g6nUVmbOwAiosdd27ZtER4ejvDwcHOHYnIuLi6P1QStzZ21tbXOkASPC95hIiIiItKDCRMRERGRHkyYiIiIiPRgwkRERESkBxMmIiIiIj2a7Ftyj9ssyUTUcPh9ol9AQAACAgLMHQaR2TS5qVHS0tJw+vRpc4dBRA1EM5VG9YlYiaj5GDRoUJMbx6nJJUxE1Lxp5peKiYkxcyRERH9gHyYiIiIiPZgwEREREenBhImIiIhIDyZMRERERHowYSIiIiLSgwkTERERkR5MmIiIiIj0YMJEREREpAcTJiIiIiI9mDARERER6cGEiYiIiEgPJkxEREREejBhIiIiItKDCRMRERGRHkyYiIiIiPRgwkRERESkBxMmIiIiIj2YMBERERHpwYSJiIiISA8mTERERER6MGEiIiIi0oMJExEREZEeTJiIiIiI9GDCRERERKQHEyYiIiIiPZgwEREREenBhImIiIhIDyZMRERERHowYSIiIiLSgwkTERERkR5MmIiIiIj0YMJEREREpIe1uQMgosfX2bNn8csvv2iVJScnAwA2bdqkVf7CCy9gwIABjRYbEVFVKhERcwdBRI+n2NhYvPbaa7CyskKLFpU3vDVfSSqVCgBQUVGB8vJyHDhwAL6+vmaLlYgeb0yYiMhsSktL0alTJ9y/f/+R6z355JPIzs5Gy5YtGykyIiJt7MNERGZjY2ODSZMmPTIRMmQdIqKGxoSJiMxq0qRJKCkpqXV5aWkpJk+e3IgRERHp4iM5IjKriooKdOvWDVlZWTUu79y5MzIzM5U+TkRE5sBvICIyqxYtWuCtt96q8ZFby5YtMXXqVCZLRGR2/BYiIrOr7bFcSUkJJk2aZIaIiIi08ZEcEVmEXr164fr161plPXv2xI0bN8wUERHRH3iHiYgsQmBgIGxsbJTPLVu2xNtvv23GiIiI/sA7TERkEa5fv45evXpplV29ehVubm5mioiI6A+8w0REFuGZZ57BCy+8AJVKBZVKhRdeeIHJEhFZDCZMRGQxpkyZAisrK1hZWWHKlCnmDoeISMFHckRkMdLT0+Hs7AwRwa1bt9C9e3dzh0REBIAJk0VZt24dzpw5Y+4wiMzqxIkTAIDhw4ebNQ4ic3vppZewYMECc4dB/4eP5CzImTNnkJiYaO4wiHR8++23SEtLa5R9PfXUU3j66acbZV+mlJiYyL9fMpnExET+A9rCWJs7ANI2cOBA7N6929xhEGlRqVSYP38+/P39G3xfv//+OwCgQ4cODb4vU5owYQIA8O+XTEJzPpHlYMJERBalqSVKRPR44CM5IiIiIj2YMBERERHpwYSJiIiISA8mTERERER6MGEiIiIi0oMJExE1moEDByIkJMTcYVika9euYe3atYiJiYGnpydUKhU8PDxQVFSktV5cXBxGjx4NlUoFLy8vxMTEmCli40RGRkKlUllEXenp6YiOjkZAQAAGDRpU4zpbtmxBv379YGtrC09PT0RHR+uss23bNvj5+SEsLAwjRoxAUFAQ8vLyAADl5eUIDQ3F7du36xwnWRYOK0BEjcbFxQVPPPGE2faflpYGJycns+2/NidPnsSmTZvw1VdfwcbGBqNHj0b79u1x6dIlzJs3D3//+9+VdUeOHIlnnnkGPXr0wPbt25vEBMX//ve/ERoaajF1devWDS+//DLeeecduLu76ywPCwtDWloapk+fjqSkJGzatAnvvPMOCgoKMHv2bADA3//+d/zlL3/BoUOH8Oqrr+LXX39Fnz59kJGRgX/+85+wsrLC4sWL8d5772HNmjVwcXGpV8xkfrzDRESN5ptvvsGKFSvMsu+UlBRMnjzZLPt+lMuXL2PKlCmIjIyEjY0NAODJJ58EAAwdOhSbNm3SuYukmWOvKVyE8/LysG/fPjg7O1tUXbXVkZaWhlu3bmHbtm0ICgrChg0bsG/fPgDAxo0blfW2bt0KAPDy8gIAPPfcc+jSpQvi4uKUdezt7fHXv/4Vfn5+KCgoqHfMZF5MmIio2bt9+zZ8fX2RnZ1t7lC0iAgCAwMxbdq0Ggfs3LVrFxwdHTF9+nT89ttvSrm1deXDAU2CZclWrlyJkJAQkzyOM2VdtUlNTcXatWu1ynx8fNC5c2fcuXNHKdP8vjRzHxYUFCA3NxcjRozQ2vb555+Hq6srFi1a1GAxU+NgwkREDa6iogK7d+/G1KlTMWzYMADA/v37MXPmTDg7OyMvLw9Tp05Fp06d0LdvX/z0008AKufTWrhwIVxcXJCVlYXx48ejY8eO6Nu3L/bu3QsA2Lx5M1q0aKFcRPPz87Fu3Tqtsq+++gqXLl1CZmYmZs2apcQVHx8PZ2dnnDp1qjGbQ7F//36cP38eo0ePrnF5165dERMTg8LCQgQEBKC0tLTWuu7fv4/FixcjLCwMwcHBGDVqFIKDg5U+NYa0NwA8fPgQq1evxnvvvQcvLy+88soruHjxYp2OLzIyEv7+/sods/owZV2P4u3tDQ+hoHoAACAASURBVAcHB53ykpISDBkyRPm8fv16uLq6Yt68ebh58yaioqKwaNEi7NixQ2fbUaNGYfPmzUhOTm7Q2KmBCVmM8ePHy/jx480dBpEOALJr16561XHz5k0BIO7u7iIikpaWJu3atRMAEh4eLqmpqfL1118LABkwYICUl5dLbGystG7dWgDInDlz5NSpU7Jjxw6xtbUVAJKQkCAiIq6urlL966x6WdV9a3z33XfSpk0bOXDgQL2OTaRuf7+TJk0SlUolpaWlOsuqxr5+/XoBIAsXLqxxeX5+vri5uckHH3yglN25c0fc3NykZ8+ekpeXp7e9NaZPny5XrlxRPvv4+IiDg4Pcv3/fqGM7c+aMrFu3Tvns7u6u8zsyR11V1XRO1CQhIUFat24t58+f1yrPzs4Wb29vcXJykgULFtS6/YULFwSAfPzxxwbHxuuB5WHCZEH4B0KWyhQJk6aeqheo3r1761z4HBwcpFWrVspnNzc3ASAFBQVK2YYNGwSATJw4UURqvoBWL6vt4lhWVla/g/o/dfn77dGjh9jZ2dW4rPrx+Pv7i0qlkoMHD+osX7p0qQCQjIwMrW22bt0qACQkJERE9Lf32bNnBUCNP7GxsQYfV25urrzzzjtSUVGhlNU1yTFlXdUZkjCVlZXJsGHD5JtvvtFZlpqaKr6+vvLqq68KAFm0aJFWnBrp6ekCQMaMGWNwbLweWB4+kiMis6mpL4q9vT2Ki4uVzy1aVH5NtWnTRinz8/MDUPkqfn1ZWVnVu466yszMhL29vUHrbtmyBe7u7pg6dSrS09O1liUkJAAAbG1ttcqHDh0KADh9+jQA/e197tw5eHh4QCr/Ma31M3bsWIOPa9asWQgMDERSUhKuXr2Kq1evKvu4evWqUY+mTFlXXXz44YcYOXIkJk6cqFX+448/on///nj77bexb98+eHt749NPP8Xy5ct16rCzswMAZGVlNWis1LA4rAARNTndunUDUPubTk2FlZUVysvLDVq3Xbt22Lt3L7y8vBAYGKi1TJNUpqSkoE+fPkq5pi9O+/btDdpHbm4ukpOTUVhYqJWgApX90DT70Wf//v21jg/l7u6OZ555xuBk15R1GSs2NhZt27bF4sWLdZaFhYUhJycHw4cPR8uWLbFz5044Oztj06ZN+Oijj7TWbchO6tR4eIeJiJqc3NxcAMDLL78M4I8LUklJCYDKt8/u3buntY1KpUJZWZlOXYYmLA3B0dFR6ZRdVUVFhdZ/Ndzd3fHll18iPj5eq1xzJ+ngwYNa5bdu3QLwRzvp4+7ujsLCQnzyySda5ZcvX0ZUVJRBdQBAUVGRzh0qzXhHImJUgmPKuoxx9OhRpKWl6SRLZ86cAfDHudayZUsAgJOTExwcHGpMju7evQugshM/NV1MmIioUTx48ABA5dtcGg8fPtRZLz8/HwB0kpuqic2xY8fQv39/zJw5EwCUC+jKlStx/fp1bNy4UXlsc/jwYVRUVMDV1RUZGRlKEgFUJhh2dnb4/vvvTXGIRhs2bBjy8/OVttHQvL5e0yOcCRMmYP78+VplISEh8PDwQGRkJDIzM5VytVoNb29vZbBFfe09btw49OzZEytWrMC7776LHTt2YNmyZZg3bx6mTZsGAFi7di369OmDnTt31uPIYfa6NCOo15Qwx8XFISIiAuXl5VCr1VCr1YiKisKCBQtw6NAhAFDG9NJ8vnnzJrKysnQe3QFATk4OAGDw4MHGHxhZjsbvNkW1YSc/slSoZ6fvgoICCQsLUzoQr1u3TiIiIpTPK1eulHv37imduQFIaGioFBUVKR1816xZIzk5OXLnzh2JiIiQBw8eKPUnJSXJgAEDpG3btuLj4yNJSUkyZMgQeeutt2Tnzp1SXFwsYWFh4ujoKHv27FG2O3r0qHTr1k2OHz9er/YRqdvf78mTJwWAHDlyRCnbu3evjBkzRgCIr6+v/PDDDzrblZaWyuDBg7XK8vPzJSQkRHx8fCQ4OFhCQkJkxYoVUlxcLCIiarXaoPZOSUkRPz8/6dChg3Tt2lVmzJgh2dnZyn6CgoKkRYsW0r17d6OOtaaO2uaqKz4+XmbMmCEAxMbGRlavXi0///yziIicPn1a2rRpU2PHd5VKJTdu3FDqUavV8uKLL0pwcLC8/vrrsnz5cnn48KHO/j777DOxsrLS2lYfXg8sj0pEpDETNKrdhAkTAAC7d+82cyRE2lQqFXbt2gV/f/9G3/ezzz6LK1euwNK/qur69zt27Fi4ublh/fr1DRFWg0hKSsKUKVOQmJjYbOsyJT8/P3Tt2hWbNm0yeBteDywPH8kREZlRdHQ0Dh061GTeoCosLERkZCS++OKLZluXKZ09exZJSUk6o4dT08OEiYgsmmYOruY6F1eXLl2wZ88ezJ8/H4WFheYOR6/k5GSsWrUKHh4ezbYuU8nIyEB4eDiOHTumM+QDNT1MmJqp6m8IETU1BQUFWLp0qdJJe+7cuRb3qMVUPDw8EB4eDrVabe5Q9PLw8DDZxd9S6zKFsrIybN26Fdu3b4eTk5O5wyETYMLUjBQXF2PVqlUYNGgQOnbsaO5wGtWWLVvQr18/2NrawtPTE9HR0UbXcezYMYwZMwYqlQoqlQojRozAiBEj4OXlhXHjxmHLli3Kq8TU8Nq2bYvw8HDlVfItW7Zg4MCB5g6rwbi4uHCC1mbE2toaixcvtqgkjuqHCVMz0qpVKyxYsABXr14169gy9ZGWlmb0NmFhYThx4gSmT5+Od999F0lJSXjnnXeMGjcGqByrRtP/wcXFBcePH8fx48fx448/Yvr06fj444/h4eGBX3/91egYLUVd2peIiJgwNTtPPPEEunTpYu4w6iQlJUUZ28RQaWlpuHXrFrZt24agoCBs2LAB+/btAwBs3LjR6Bg0I0i3atVKKVOpVPD19cUPP/yABw8ewM/Pr8bxbCxdXdqXiIgqMWEii3D79m34+voiOzvbqO1SU1N13j7x8fFB586dlcH/TMXR0REfffQRbty40eTeeKlr+xIRUSUmTE1cUVERgoODMXPmTCxbtgxLlixR3iaqqKjAyZMnMX/+fLi4uCA9PR3Dhw/H008/jby8PNy/fx+LFy9GWFgYgoODMWrUKAQHBytTNSQmJmLhwoVwcXFBVlYWxo8fj44dO6Jv377Yu3evEoO+ejZv3owWLVooUwbk5+dj3bp1WmVfffUVLl26hMzMTMyaNcvg4/f29lbmy6qqpKQEQ4YMUT7Hx8fD2dkZp06dMrKFtY0fPx5WVlY4cuTIY9G+RET0f8w6bCZpMXZk17KyMhkwYIBMnz5dKbtx44ZYW1sLACkuLtYatfbjjz+WY8eOyXvvvSeZmZni5uYmH3zwgbLtnTt3xM3NTXr27Cm///67xMbGSuvWrQWAzJkzR06dOiU7duwQW1tbASAJCQmSn5//yHry8vJERMTV1VVnZN7qZQDE3d3d6HarLiEhQVq3bi3nz59Xyr777jtp06aNHDhwQO/2+uJwdHSUjh07Plbti3qO9P044MjMZEo8nywPEyYLYuwfSFRUlACQy5cva5W7ublpXSh79+4tAOT3339XypYuXSoAJCMjQ2vbrVu3CgAJCQnRqqugoEBZRzOdwsSJEw2up6apDKqXmSJhKisrk2HDhsk333xT4zJD6IvD2dlZunXrpnx+HNoXNUwTwR/+8Kdhf5gwWRZrUJN15MgRAECPHj20ylu00H7SqnksY29vr5QlJCQAgM4rr5pZz0+fPq1VV5s2bZR1/Pz8MG/ePFy7dk2Z6FNfPY3lww8/xMiRI2ucANPKyqre9ZeWliIrK0tr9vfHpX3nzZuHl156qdH219RopjapPjEuUV00palyHhdMmJqw27dvAwByc3PRvXt3o7bVXKhTUlLQp08fpVzTH6h9+/a1bqt5k8zZ2VmZeb4u9ZhabGws2rZti8WLFzfYPo4fP46SkhKMHDnykes1x/Z96aWXzDKXXFOhmfOLbUSmwDnkLA87fTdh7u7uAICDBw8ava3mDkX1bTWjKle9g1Jdbm6uso6h9WjuwmgGfhQRndHIVSoVysrKjD4WADh69CjS0tJ0kqUzZ84o/1/fsalKSkqwZMkS9OvXD3Pnzn3kus2tfYmIHndMmJqwRYsWwdraGkuWLMHhw4dRVFSE+Ph4pKenA6i8KwFAGTOo6lxcISEh8PDwQGRkpPLYBwDUajW8vb0xe/ZsrX1VTTaOHTuG/v37Y+bMmQbXo0nuVq5cievXr2Pjxo0oLi4GABw+fBgVFRVwdXVFRkaGkgwYKi4uDhERESgvL4darYZarUZUVBQWLFiAQ4cOAahMOOzs7PD9998/sq6ioiKtNtO4cOECXnnlFdy9exfbt2+HtfUfN2ebe/sSEREfyTVpL7zwAo4fP46wsDBMmDABnTt3xowZM+Dp6YnnnnsOFy9exD/+8Q8lcVqwYAFmzZoFT09PtG7dGmfOnMFHH32Et99+G3379oWVlRU6duyI48ePayUEALBhwwZMnToVFRUVyMjIwMmTJ2FtbQ1ra2uD6vnkk0+Qnp6OdevW4ezZs4iKisLevXvRo0cP5OXloaysDBMmTMBXX32Fc+fOwdnZ2aA2OHPmDPz8/FBYWIjjx49rLVOpVLh+/TqAyoEon3zySa0BKatLSEhQplRJSUnBf/7nf6JVq1Zo1aoVbGxsEBAQgLfffhtt27YFUDk7+tq1a5t1+xIRUSWViIi5g6BKEyZMAGBZz66fffZZXLlyBTxNGkZTaV+VSoVdu3axf84jWOLfLzVdPJ8sDx/JkcXSTIL7qJ+rV6+aO0wiInoM8JEcPZKmX05BQYHyKKqxWPpdF1MwZ/sSEZHheIeJalRQUIClS5cqHYTnzp2LxMREM0fVfLB9qbpr165h7dq1iImJgaenJ1QqFTw8PJQXETTi4uIwevRoqFQqeHl5ISYmxkwRGycyMlJ5m9PcdaWnpyM6OhoBAQEYNGhQjets2bIF/fr1g62tLTw9PZX+jVVt27YNfn5+CAsLw4gRIxAUFKRMWVReXo7Q0FBl+BdqBsw4aCZVw6HwyVIB5psa5datW02i7vr8/Z44cUImT54sJSUlIiJy7949ZbTnGTNm6KyfkpIiAOTq1av1irmxnDt3TplCyFLqunnzpgA1j34fGhr6/9m796io6r1/4O8B0UcEA2+ASo9Ch6YcO3b8GRVeWlhoysHqKBiiaYY+erqoKMLxUnHE1PLCwqmWprbMG3T0MQOezGuWt3yyOo+mUCEoCnJJBBnufH5/sGbrMKMzAwMD+H6tNas1n733d77fvXfsj/v73d8tERERotVq5a233lJeYZSYmKis8/HHHwsASUtLExGR8+fPCwB54YUXlHX++OMPeemllyQzM9Pq+vF60PrwDhMRtVpZWVkIDw9vc2Vb48KFC5gyZQoSExPh5OQEAOjatSuA+vm8NmzYYHQXST9Rbf/+/Vu2so1QXFyMvXv32uTJTFuWdbcycnJycOXKFXz22WeYPXs21q1bh7179wIAEhISlPW2bt0KABgyZAgA4NFHH0WvXr1w6NAhZR13d3e8/fbbCAkJMZh2hNomJkxE1CpdvXoVwcHBKCgoaFNlW0NEEBERgWnTpqFbt25Gy5OSkuDl5YXIyEhcunRJieunk9AnWK3ZsmXLEB0dbZPuOFuWdTfZ2dlYvXq1QSwoKAg9e/ZEfn6+EtMfr6NHjwKo72YvKipCYGCgwbaPPfYYfH19sWDBgmarM7UMJkxEZHMlJSVYuHAhYmNjERUVhVGjRiEqKkoZ37Fx40Y4ODgoF77S0lKsWbPGIPbpp5/i/PnzyMvLw6xZswAAp06dwvz589G/f39cv34d48ePR/fu3TFw4EDs2bOnSWUDwJEjR+Dt7Y1jx461yH7at28fzp49i9GjR5tc7unpieTkZOh0OoSFhaG6uvquZZnb5/v27cPMmTPh7e2N4uJiTJ06FT169MDAgQPxww8/KOVUVFRg1apVeO211zBkyBA899xzOHfuXKPal5iYiNDQUOWOWVPYsqx7CQgIUF49dKeqqioMGzZM+b527Vr4+vpizpw5uHz5MtavX48FCxZgx44dRtuOGjUKGzduRGZmZrPWnZqZvfsE6Tb2WVNrBSvGMJWWloqfn5+88847Siw/P1/8/PzEx8dHiouLRUTE19fXaBxKwxjuGGNSW1srKSkpyniSN954Q44dOyY7duwQV1dXASDHjx9vVNl6X3zxhTg7O8uXX35pUVvv1Jj/f19++WVRqVRSXV1ttOzOuq5du1YAyPz5800ut2Sf5+TkiIuLiwCQ+Ph4yc7Olm3btgkA8ff3V7aLjIyUixcvKt+DgoLEw8NDSkpKrGrbyZMnZc2aNcp3tVrd6HFHtizrTqbOAVOOHz8unTt3lrNnzxrECwoKJCAgQPr27Svz5s276/Y//vijAJD33nvP4rrxetD6MGFqRfg/CLVW1iRMixYtEgCSm5trEN+6dasAkOjoaBExfdFrGDN1QfPz8xMAUlZWpsTWrVsnAGTixIlNKltEpKamxqJ2NtSY/3/79esnbm5uJpc1rH9oaKioVCpJTU01Wm7pPn/44YeNyvXw8JBOnTqJiMjp06eVweYNPykpKRa3q6ioSF599VWpq6tTYo1NcmxZVkOWJEw1NTUyYsQI2blzp9Gy7OxsCQ4Olueff14AyIIFCwzqqXft2jUBIGPGjLG4brwetD7skiMimzp+/DgAwNXV1SCuf5HwiRMnmlS+g0P9ny1nZ2clFhISAqD+0fymcnR0bHIZlsrLy4O7u7tF627atAlqtRpTp05V3hepZ+k+NzX2x93dXXnv4JkzZ6DRaCD1/5g2+IwdO9bids2aNQsRERHIyMhAeno60tPTld9IT0+3qmvKlmU1xrvvvouRI0di4sSJBvHvv/8egwcPxiuvvIK9e/ciICAA77//PpYuXWpUhpubGwDg+vXrzVpXal5MmIjIpvQJjf4de3r6cSEPPPCAzX+zd+/eAO7+5FNr5ejoaPDi5XtxcXHBnj17UF5ejoiICINlttrnRUVFyMzMhE6nM1pWV1dnURlA/XipwMBAqNVq5aMftK5WqzFq1Ci7lGWtlJQUdOnSBUuWLDFaFhsbi8LCQjzzzDPo2LEjdu3aBQDYsGGD0brNOUidWg4TJiKyKf1djdTUVIO4fpLOZ599FsDti0hVVRWA+ifGbt68abCNSqVCTU2N2d8sKiqyWdmWJjC24OXlpQzKvpM+OWmYpKjVamzevBlHjhwxiFu6z81Rq9XQ6XRYuXKlQfzChQtYv369RWUAQHl5udEdKrVaDaD+WFhzJ9CWZVnjwIEDyMnJwcKFCw3iJ0+eBHD73OrYsSMAoG/fvvDw8DCZHN24cQNA/SB+aruYMBGRTUVHR0Oj0SAxMRF5eXlKXKvVIiAgAK+//joAKBe9ZcuW4bfffkNCQoLS1bJ//37U1dXB19cXubm5yoX/TncmNgcPHsTgwYMxc+bMJpWdmpoKNzc3fPXVV7bcJXc1YsQIlJaW4tatWwZx/ePrprpwJkyYgLlz5xrELN3nFRUVRuWVlpYCAGpqajBu3Dj4+PggLi4O06dPx44dO7BkyRLMmTMH06ZNAwCsXr0aAwYMUO6oNIU9y9LPoG4qQT506BBWrFiB2tpaaLVaaLVarF+/HvPmzUNaWhoAKHN46b9fvnwZ169fN+q6A4DCwkIAwNChQ61vGLUeLT5qiu6Kg/yotYKVM32XlpZKdHS0BAUFSVRUlERHR0tcXJxUVlYq62RkZIi/v7906dJFgoKCJCMjQ4YNGyaTJ0+WXbt2SWVlpcTGxoqXl5fs3r1b2U4/4PeDDz6QwsJCyc/PlxUrVsitW7eaXPaBAwekd+/ecvjwYav3UWP+//3mm28EgHz99ddKbM+ePTJmzBgBIMHBwfLtt98abVddXS1Dhw41iJnb51qtVhnAvWzZMrl586YyWB6AxMTESHl5uWRlZUlISIh069ZNPD09ZcaMGVJQUKD8zuzZs8XBwUH69OljVVtNDdS2V1lHjhyRGTNmCABxcnKSVatWyU8//SQiIidOnFBmEm/4UalU8vvvvyvlaLVaeeKJJyQqKkpefPFFWbp0qVRUVBj93kcffSSOjo4G25rD60HroxK5D95w2kZMmDABAPD555/buSZEhlQqFZKSkhAaGmrvquCRRx7BxYsXW93LmRv7/+/YsWPh5+eHtWvXNke1mkVGRgamTJlik/cfttaybCkkJASenp4mxzfdDa8HrQ+75IiI7GjLli1IS0trM09Q6XQ6JCYm4pNPPmm3ZdnS6dOnkZGRYTR7OLU9TJiIqE3Rv5Orvbybq1evXti9ezfmzp1r8um01iYzMxPLly+HRqNpt2XZSm5uLuLj43Hw4EGjKR+o7WHCRERtQllZGRYtWqQM0n7zzTdbXddLY2k0GsTHx0Or1dq7KmZpNBqbXfxba1m2UFNTg61bt2L79u3o27evvatDNtDB3hUgIrJEly5dEB8fj/j4eHtXpVn079+fL2htRzp06GA0JQG1bbzDRERERGQGEyYiIiIiM5gwEREREZnBhImIiIjIDA76bmVycnKQnJxs72oQGdG/Q4tMy8nJAQD+/0s2kZOTw6frWhnO9N2KTJgwAf/617/sXQ0iImoFxo8fz5m+WxEmTETUquhfv8I7NUTUmnAMExEREZEZTJiIiIiIzGDCRERERGQGEyYiIiIiM5gwEREREZnBhImIiIjIDCZMRERERGYwYSIiIiIygwkTERERkRlMmIiIiIjMYMJEREREZAYTJiIiIiIzmDARERERmcGEiYiIiMgMJkxEREREZjBhIiIiIjKDCRMRERGRGUyYiIiIiMxgwkRERERkBhMmIiIiIjOYMBERERGZwYSJiIiIyAwmTERERERmMGEiIiIiMoMJExEREZEZTJiIiIiIzGDCRERERGQGEyYiIiIiM5gwEREREZnBhImIiIjIDCZMRERERGYwYSIiIiIygwkTERERkRkqERF7V4KI7k/bt2/Hpk2bUFdXp8QuXboEAOjfv78Sc3BwwPTp0zFp0qQWryMREcCEiYjs6N///jf+/Oc/W7Tuzz//jMcee6yZa0REZBoTJiKyK7VajfT09Huu89BDD+HXX39toRoRERnjGCYisqvJkyfDycnprsudnJwwbdq0FqwREZEx3mEiIrvKzMzEQw89hHv9Kfr111/x0EMPtWCtiIgM8Q4TEdmVj48P/vKXv0ClUhktU6lU+H//7/8xWSIiu2PCRER2N2XKFDg6OhrFHR0dMWXKFDvUiIjIELvkiMju8vPz4eXlZTC9AFA/ncC1a9fg4eFhp5oREdXjHSYisrtevXphxIgRBneZHB0d8cwzzzBZIqJWgQkTEbUKkydPNhr4PXnyZDvVhojIELvkiKhVKCkpQc+ePVFVVQWgfjqB/Px8uLm52blmRES8w0RErUTXrl0xevRodOjQAR06dMCYMWOYLBFRq8GEiYhajYiICNTW1qK2tpbvjSOiVoVdckTUalRUVKBHjx4QERQWFqJz5872rhIREQAmTO1WcnIywsLC7F0NIqL7SlJSEkJDQ+1dDWoGHexdAWpeSUlJ9q4C2cHJkyexbt26Nnn8f/rpJ6hUKvz5z39u9t8KCwvDnDlz8NRTTzX7b1H7x3+ktm9MmNo5/kvn/rVu3bo2efxfeuklAECHDs3/5yksLAxPPfVUm9xP1PowYWrfmDARUavSEokSEZG1+JQcERERkRlMmIiIiIjMYMJEREREZAYTJiIiIiIzmDARERERmcGEiYju6cknn0R0dLS9q9Hq/Prrr1i9ejWSk5MxaNAgqFQqaDQalJeXG6x36NAhjB49GiqVCkOGDEFycrKdamydxMREqFSqVlHWtWvXsGXLFoSFheHpp582uc6mTZvw+OOPw9XVFYMGDcKWLVuM1vnss88QEhKC2NhYBAYGYvbs2SguLgYA1NbWIiYmBlevXm10PamdE2qXkpKShIf3/mXL4z9x4kRZsmSJTcpqjCtXrjRb2QAkKSnJ6u2OHj0q4eHhUlVVJSIiN2/eFAACQGbMmGG0flZWlgCQ9PT0Jte5JZw5c0acnZ1tcg7ZqqzLly8LAFGr1UbLYmJiJCIiQrRarbz11lvSuXNnASCJiYnKOh9//LEAkLS0NBEROX/+vACQF154QVnnjz/+kJdeekkyMzMbVcfGnk/UNvAOExHd086dOxEXF2eX387KykJ4eLhdfvtuLly4gClTpiAxMRFOTk4AgK5duwIAhg8fjg0bNhjdRerTpw8AoH///i1b2UYoLi7G3r174e3t3arKulsZOTk5uHLlCj777DPMnj0b69atw969ewEACQkJynpbt24FAAwZMgQA8Oijj6JXr144dOiQso67uzvefvtthISEoKysrMl1pvaFCRMRtUpXr15FcHAwCgoK7F0VhYggIiIC06ZNQ7du3YyWJyUlwcvLC5GRkbh06ZIS10/GqU+wWrNly5YhOjraJt1xtizrbrKzs7F69WqDWFBQEHr27In8/Hwlpj9eR48eBQCUlZWhqKgIgYGBBts+9thj8PX1xYIFC5qtztQ2MWEiIpPq6urw+eefY+rUqRgxYgQAYN++fZg5cya8vb1RXFyMqVOnokePHhg4cCB++OEHAMCpU6cwf/589O/fH9evX8f48ePRvXt3DBw4EHv27AEAbNy4EQ4ODsqFtLS0FGvWrDGIffrppzh//jzy8vIwa9YspV5HjhyBt7c3jh071pK7A0B9+8+ePYvRo0ebXO7p6Ynk5GTodDqEhYWhurr6rmWVlJRg4cKFiI2NRVRUFEaNGoWoqChlTI0l+xoAKioqsGrVKrz22msYMmQInnvuOZw7d65R7UtMTERoaKhyx6wpbFnWvQQEBMDDw8MoXlVVhWHDfXnlZgAAIABJREFUhinf165dC19fX8yZMweXL1/G+vXrsWDBAuzYscNo21GjRmHjxo3IzMxs1rpTG2PvPkFqHhzDdH+z1fFvOG4kJydHXFxcBIDEx8dLdna2bNu2TQCIv7+/1NbWSkpKijKG5I033pBjx47Jjh07xNXVVQDI8ePHRUTE19fXqI4NYzAxZuWLL74QZ2dn+fLLL5vcPlg55uTll18WlUol1dXVJsvSW7t2rQCQ+fPnm1xeWloqfn5+8s477yix/Px88fPzEx8fHykuLja7r/UiIyPl4sWLyvegoCDx8PCQkpISi9slInLy5ElZs2aN8l2tVjf6HLJlWXcydT6Ycvz4cencubOcPXvWIF5QUCABAQHSt29fmTdv3l23//HHHwWAvPfee1bXj2OY2i9eUdspJkz3N1se/4YXqYcfftiobA8PD+nUqZPy3c/PTwBIWVmZElu3bp0AkIkTJ4qI6Ytow9jdLpA1NTVNa9Qd5VtzgevXr5+4ubndtaw7hYaGikqlktTUVKPlixYtEgCSm5trsM3WrVsFgERHR4uI+X19+vRpZbB5w09KSorF7SoqKpJXX31V6urqlFhjkxxbltWQJQlTTU2NjBgxQnbu3Gm0LDs7W4KDg+X5558XALJgwQKDeupdu3ZNAMiYMWOsrh8TpvaLXXJEZBVT41Hc3d1RWVmpfHdwqP/T4uzsrMRCQkIA1D+O31SOjo5NLqMx8vLy4O7ubtG6mzZtglqtxtSpU3Ht2jWDZcePHwcAuLq6GsSHDx8OADhx4gQA8/v6zJkz0Gg0kPp//Bp8xo4da3G7Zs2ahYiICGRkZCA9PR3p6enKb6Snp1vVNWXLshrj3XffxciRIzFx4kSD+Pfff4/BgwfjlVdewd69exEQEID3338fS5cuNSrDzc0NAHD9+vVmrSu1LXwtOBG1iN69ewO4+9NObYGjoyNqa2stWtfFxQV79uzBkCFDEBERYbBMn1BmZWVhwIABSlw/FueBBx6w6DeKioqQmZkJnU5nkJwC9WPQ9L9jzr59++46P5RarcZDDz1kcaJry7KslZKSgi5dumDhwoVGy2JjY1FYWIhnnnkGHTt2xK5du+Dt7Y0NGzbgn//8p8G6zTlIndou3mEiohZRVFQEAHj22WcB3L4oVVVVAah/Au3mzZsG26hUKtTU1BiVZWnSYmteXl7KoOw71dXVGfxXT61WY/PmzThy5IhBXH8nKTU11SB+5coVALf3kTlqtRo6nQ4rV640iF+4cAHr16+3qAwAKC8vN7pDpVarAdQfF2sSHFuWZY0DBw4gJyfHKFk6efIkgNvnWceOHQEAffv2hYeHh8nk6MaNGwDqB/ET6TFhIqK7unXrFoD6J7r0KioqjNYrLS0FAKPk5s7E5uDBgxg8eDBmzpwJAMpFdNmyZfjtt9+QkJCgdN3s378fdXV18PX1RW5urpJIAPVJhpubG7766itbNNEqI0aMQGlpqbJf9PSPr5vqwpkwYQLmzp1rEIuOjoZGo0FiYiLy8vKUuFarRUBAAF5//XUA5vf1uHHj4OPjg7i4OEyfPh07duzAkiVLMGfOHEybNg0AsHr1agwYMAC7du1qQsth97L0M6ibSpYPHTqEFStWoLa2FlqtFlqtFuvXr8e8efOQlpYGAMp8Xvrvly9fxvXr14267gCgsLAQADB06FDrG0btV8sPm6KWwEHf9zdbHP+ysjKJjY1VBhGvWbNGVqxYoXxftmyZ3Lx5UxnMDUBiYmKkvLxcGeT7wQcfSGFhoeTn58uKFSvk1q1bSvkZGRni7+8vXbp0kaCgIMnIyJBhw4bJ5MmTZdeuXVJZWSmxsbHi5eUlu3fvVrY7cOCA9O7dWw4fPtyk9olYP0j3m2++EQDy9ddfK7E9e/bImDFjBIAEBwfLt99+a7RddXW1DB061CBWWloq0dHREhQUJFFRURIdHS1xcXFSWVkpIiJardaifZ2VlSUhISHSrVs38fT0lBkzZkhBQYHyO7NnzxYHBwfp06ePVfvG1EBte5V15MgRmTFjhgAQJycnWbVqlfz0008iInLixAllJvGGH5VKJb///rtSjlarlSeeeEKioqLkxRdflKVLl0pFRYXR73300Ufi6OhosK0lrD2fqG1RiYi0WHZGLSY5ORlhYWHg4b0/2fv4P/LII7h48WKrP/9UKhWSkpIQGhpq8TZjx46Fn58f1q5d24w1s62MjAxMmTIFp06dardl2VJISAg8PT2xYcMGq7ZrzPlEbQe75IiIrLBlyxakpaW1mSeodDodEhMT8cknn7Tbsmzp9OnTyMjIMJo9nIgJE5mVn5+Pzz//HMuXL7d3VVrE/dbe5qB/D1d7fB9Xr169sHv3bsydOxc6nc7e1TErMzMTy5cvh0ajabdl2Upubi7i4+Nx8OBBoykfiJgwkZHExETExMQgMDAQvXr1QkREBEJDQ/HZZ5/Zu2qN9sEHH8Dd3R0qlQodOnTAqFGj8Ne//hXBwcF49tln8Z//+Z9QqVQ4cOAA4uLi2nx77aWsrAyLFi1SBmm/+eabra67xRY0Gg3i4+Oh1WrtXRWzNBqNzS7+rbUsW6ipqcHWrVuxfft29O3b197VodbIriOoqNk0dtBvQkKCuLi4SE1NjRQXF8tLL70k3377rcWvJLjTlStXLIq1FP3svX/605+MltXV1UlwcLD8/vvvUlFR0ebby0H/lgEH6ZIN8Xxq33iHiQx89NFH6NOnDxwdHfHAAw9g9+7djXq0NisrS3mM916xluTl5QXA9CzRKpUKsbGxcHFxQadOnawuuzW2l4iIbIczfZOBK1euNHkm5qtXryI4ONhgvhRTsdbk559/xtNPP92obdtie4mIyDq8w0QA6icDnDVrFsrKypCXl4dZs2Yp30359ddfMWHCBMTExGDKlCkYPnw4/u///g8A8Omnn+L8+fNKOXeLAfUT861atQqvvfYahgwZgueeew7nzp0DUP+KhZkzZ8Lb2xvFxcWYOnUqevTogYEDB+KHH35Qyjhy5Ai8vb1x7Ngxq9tdXV2Nc+fO4Y033rjneq2pvUREZAf27hOk5tHYMSy4y9idhvE//elP4uvrKyL1k/K5ubmJRqO5ZzmmYpGRkXLx4kXle1BQkHh4eEhJSYnk5OSIi4uLAJD4+HjJzs6Wbdu2CQDx9/dXtvniiy/E2dlZvvzyS4vaZ+rT8A30rbm9luAYJsuAY07Ihng+tW/skqNGmTVrlsGYoO7duyM9Pd2qMr7//nts3LgRGzduNFp27NgxjB07Fn369EF6ejr+8Y9/AAAmTZqEqKgo/PTTT8q6ISEhKCkpsfgN9mq1GhcuXABQ/+6vzMxMjB8//p7btKb2WuNuL0Gl2/TvGiMiuhcmTNQoc+fORVlZGT788EP88ccfqKysRHV1tVVlnDlzBhqNRunaMsXUizHd3d2NJg20NFlqyMHBAQ899BD+/ve/33O91tZeS4WFhTVqu/vJunXrsG7dOntXg4haOY5hokY5c+YMBg4cCB8fHyxevBguLi5Wl1FUVITMzEyTk/81fOt7c4uMjLzn8rbaXmnw1nh+DD8AkJSUZPd68NM+PtS+MWGiRpkyZQqqq6sxevRoAMYXfJVKZfTm+oYxtVoNnU6HlStXGqx34cIFrF+/3qr6NPfTaK2tvURE1LLYJUeKGzduAACqqqoM4uXl5QDqn/DSy83NRUlJCQ4cOICCggIUFxcDqB+n07t3b/j6+iI3N9dgmoKGsXHjxsHHxwdxcXHIycnByJEjceHCBXz//ff417/+ZfSbeqWlpQDqZ+bt0KEDUlNTMXHiRHz++edKQmOK/ok/c6+zaO3tJSKilsc7TAQAOHfunDLQOCsrC3Fxcfj3v/+NS5cuISYmRoknJCSguLgYy5cvR9euXbF48WL4+vpi0aJFcHd3x/Lly+Hs7IwJEyaga9euOHPmjPIbDWOdOnXC4cOHERISgr179yIqKgr5+fnYvn07XF1d8eGHHyIrKwsAEB8fj5KSEiQkJODq1asAgCVLlqCiogKdOnVC165d7znh5MmTJ/HWW28BAC5fvozY2Fj8+OOPRuu1hfYSEVHLUwk7Xtul5ORkhIWFsV/9PsXjbxmVSoWkpCSEhobauyrUDvB8at94h4mIiIjIDCZMRERERGYwYSIiIiIygwkTEVEL+/XXX7F69WokJydj0KBBUKlU0Gg0yhOaeocOHcLo0aOhUqkwZMiQVj1z+6ZNm/D444/D1dUVgwYNwpYtW4zW2bx5M0JDQ7F48WJERkZi586d9ywzMTHR5GSun332GUJCQhAbG4vAwEDMnj1beXK1trYWMTExysMSRDYj1C7xXWL3N3sf/ytXrrSJsmGHd38dPXpUwsPDpaqqSkREbt68qbzTcMaMGUbrZ2VlCQBJT09v0XpaIyYmRiIiIkSr1cpbb70lnTt3FgCSmJiorBMXFyf9+vWTGzduiIjIjRs3pF+/fpKQkGCyzDNnzoizs7PRefzxxx8LAElLSxMRkfPnzwsAeeGFF5R1/vjjD3nppZckMzPT1k29J3ucT9RyeEVtp+x9wST7sufxv3TpkgwbNqxNlN3SF7hffvlFHnzwQSkqKjKqx/Dhw03Wp7q6WgAoCVZrc+XKFZk0aZJBbP/+/QJAHnroIRERuXz5sjg5Ocl7771nsF58fLw4OztLYWGhQfzGjRuyaNEiefjhh43O46effloASEFBgRLr1auXuLq6Gqz3888/i0ajkVu3bjW5jZZiwtS+sUuOiGzm6tWrCA4ORkFBQZsquyWICCIiIjBt2jR069bNaHlSUhK8vLwQGRmJS5cuKXH9ZKVOTk4tVldrZGdnY/Xq1QaxoKAg9OzZE/n5+QCAbdu2obq6GiNHjjRYLzAwEDqdDps2bTKIL1u2DNHR0Sa74/T77ujRowDqJ6QtKipCYGCgwXqPPfYYfH19sWDBgia1j0iPCRMRAQBKSkqwcOFCxMbGIioqCqNGjUJUVJQyNmTjxo1wcHBQLmKlpaVYs2aNQezTTz/F+fPnkZeXh1mzZgEATp06hfnz56N///64fv06xo8fj+7du2PgwIHYs2dPk8oGgCNHjsDb2xvHjh1rmR3VSPv27cPZs2fvOhu9p6cnkpOTodPpEBYWds+XO5s7Vvv27cPMmTPh7e2N4uJiTJ06FT169MDAgQPxww8/KOVUVFRg1apVeO211zBkyBA899xzOHfunFXtCggIgIeHh1G8qqoKw4YNAwB89913AIC+ffsarKOfFf/nn39WYomJiQgNDUXXrl1N/t7atWvh6+uLOXPm4PLly1i/fj0WLFiAHTt2GK07atQobNy4EZmZmVa1icgke9/ioubBLrn7m7XHv7S0VPz8/OSdd95RYvn5+eLn5yc+Pj5SXFwsIiK+vr5G5TaMARC1Wi0iIrW1tZKSkqKMaXnjjTfk2LFjsmPHDnF1dRUAcvz48UaVrffFF1+Is7OzfPnllxa3987yWqoL5eWXXxaVSiXV1dUm66G3du1aASDz5883udySY5WTkyMuLi4CQOLj4yU7O1u2bdsmAMTf31/ZLjIyUi5evKh8DwoKEg8PDykpKWlSW48fPy6dO3eWs2fPiojIoEGDBICUl5cbrKfT6QSAPPXUUyIicvLkSVmzZo2yXK1WmzyPCwoKJCAgQPr27Svz5s27az1+/PFHAWDUFdhcWvJ8opbHK2o7xYTp/mbt8V+0aJEAkNzcXIP41q1bBYBER0eLiOkLWMOYqaTGz89PAEhZWZkSW7dunQCQiRMnNqlsEZGamhqL23qnlrzA9evXT9zc3O5ajzuFhoaKSqWS1NRUo+WWHitT4388PDykU6dOIiJy+vRpZbB5w09KSkqj21lTUyMjRoyQnTt3KjH9+KyKigqDdcvLywWADB48WIqKiuTVV1+Vuro6ZfndEqbs7GwJDg6W559/XgDIggULDLbTu3btmgCQMWPGNLo91mDC1L6xS46IcPz4cQCAq6urQXz48OEAgBMnTjSpfAeH+j81zs7OSiwkJARA/SP2TeXo6NjkMppbXl4e3N3dLVp306ZNUKvVmDp1Kq5du2awzNJjZWr8j7u7OyorKwEAZ86cgUajgdT/w9ngM3bsWOsad4d3330XI0eOxMSJE5WYWq0GAKXLUE//wu/evXtj1qxZiIiIQEZGBtLT05Genq7UNT09XelW+/777zF48GC88sor2Lt3LwICAvD+++9j6dKlRnVxc3MDAFy/fr3R7SHSY8JEREpCo3/5r55+bMoDDzxg89/s3bs3gNvjWNo7R0dH1NbWWrSui4sL9uzZg/LyckRERBgss9WxKioqQmZmJnQ6ndGyuro6i8poKCUlBV26dMGSJUsM4gMGDAAAo+QvNzcXADB06FDs27cPgYGBUKvVykc/+F2tVmPUqFEAgNjYWBQWFuKZZ55Bx44dsWvXLgDAhg0bjOpjKmkkaiwmTESk3J1ITU01iF+5cgUA8OyzzwK4fQGqqqoCUP/k182bNw22UalUqKmpMfubRUVFNivb0kTEnry8vIzusAC3k5OGSYparcbmzZtx5MgRg7ilx8octVoNnU6HlStXGsQvXLiA9evXW1TGnQ4cOICcnBwsXLjQIH7y5ElMnjwZbm5uRm05fPgwOnbsiPDwcJSXlxvd6dLfmRIR5U6k/vzo2LEjgPqB5B4eHiaTI/0dLE9PT6vbQ9QQEyYiQnR0NDQaDRITE5GXl6fEtVotAgIC8PrrrwO43bWybNky/Pbbb0hISFC6Tfbv34+6ujr4+voiNzdXuYDf6c7E5uDBgxg8eDBmzpzZpLJTU1Ph5uaGr776ypa7xOZGjBiB0tJS3Lp1yyCuf/TeVLfRhAkTMHfuXIOYpceqoqLCqLzS0lIAQE1NDcaNGwcfHx/ExcVh+vTp2LFjB5YsWYI5c+Zg2rRpAIDVq1djwIAByl2cuzl06BBWrFiB2tpaaLVaaLVarF+/HvPmzUNaWhrc3d0RGxuLjz/+WGl/aWkpNmzYgMWLFxs9PXcv4eHhAIC0tDQAwOXLl3H9+nWDLkC9wsJCAPV3sIiazD5Dp6i5cdD3/a0xx7+0tFSio6MlKChIoqKiJDo6WuLi4qSyslJZJyMjQ/z9/aVLly4SFBQkGRkZMmzYMJk8ebLs2rVLKisrJTY2Vry8vGT37t3KdvrBux988IEUFhZKfn6+rFixwmBSwcaWfeDAAendu7ccPnzY6v2EFhyk+8033wgA+frrr5XYnj17ZMyYMQJAgoOD5dtvvzXarrq6WoYOHWoQM3estFqtMoB72bJlcvPmTWWQPQCJiYmR8vJyycrKkpCQEOnWrZt4enrKjBkzDCaEnD17tjg4OEifPn3u2q4TJ04oM3I3/KhUKvn999+VdTdt2iSTJ0+WRYsWyYQJE2TDhg333Gd3G/St1WrliSeekKioKHnxxRdl6dKlRgPKRUQ++ugjcXR0NKhDc2rJ84lankpEpMWzNGp2ycnJCAsLAw/v/am1Hf9HHnkEFy9ebDX10VOpVEhKSkJoaGiL/N7YsWPh5+eHtWvXtsjv2UJGRgamTJmCU6dO2bsqVgsJCYGnp6fJ8U3NoaXPJ2pZ7JIjImohW7ZsQVpaWpt5akun0yExMRGffPKJvatitdOnTyMjI8NoFnKixmLCRETNrqyszOC/96tevXph9+7dmDt3rsmn01qbzMxMLF++HBqNxt5VsUpubi7i4+Nx8OBBo+kXiBqLCRMRNZuysjIsWrRIGaT95ptvtsmuHVvSaDSIj4+HVqu1d1XM0mg0bS7hqKmpwdatW7F9+3arBpMTmdPB3hUgovarS5cuiI+PR3x8vL2r0qr079+fL4VtJh06dDCa2oDIFniHiYiIiMgMJkxEREREZjBhIiIiIjKDCRMRERGRGRz03c5NmDDB3lUgO8jJyQHA42+JtWvX4vPPP7d3NYioleNM3+3UyZMnsWbNGntXg8hqP/74IwDg8ccft3NNiKw3b948PPXUU/auBjUDJkxE1KroXyuRnJxs55oQEd3GMUxEREREZjBhIiIiIjKDCRMRERGRGUyYiIiIiMxgwkRERERkBhMmIiIiIjOYMBERERGZwYSJiIiIyAwmTERERERmMGEiIiIiMoMJExEREZEZTJiIiIiIzGDCRERERGQGEyYiIiIiM5gwEREREZnBhImIiIjIDCZMRERERGYwYSIiIiIygwkTERERkRlMmIiIiIjMYMJEREREZAYTJiIiIiIzmDARERERmcGEiYiIiMgMJkxEREREZjBhIiIiIjKDCRMRERGRGUyYiIiIiMxgwkRERERkBhMmIiIiIjOYMBERERGZwYSJiIiIyIwO9q4AEd2/dDodKisrDWJVVVUAgBs3bhjEO3XqBGdn5xarGxHRnVQiIvauBBHdnz788EP8/e9/t2hdrVaL2bNnN3ONiIhMY8JERHZTUFAALy8v1NbW3nM9R0dH5ObmomfPni1UMyIiQxzDRER207NnT4wcORKOjo53XcfR0RHPPvsskyUisismTERkVxEREbjXjW4RQURERAvWiIjIGLvkiMiuSktL0bNnT6PB33odO3ZEQUEBunbt2sI1IyK6jXeYiMiuXF1d8de//hVOTk5Gyzp06IBx48YxWSIiu2PCRER2N2nSJNTU1BjFa2trMWnSJDvUiIjIELvkiMjuqqqq0KNHD5SWlhrEXVxcUFhYiE6dOtmpZkRE9XiHiYjsrmPHjpgwYQI6duyoxJycnBAWFsZkiYhaBSZMRNQqhIeHK7N8A0B1dTXCw8PtWCMiotvYJUdErUJdXR08PT1RUFAAAOjRowfy8vLuOUcTEVFL4R0mImoVHBwcEB4ejo4dO8LJyQmTJk1iskRErQYTJiJqNV5++WVUVVWxO46IWp0O9q4AtQ3Jycn2rgLdB0QE3bt3BwBcunQJWVlZ9q0Q3RdCQ0PtXQVqAziGiSyiUqnsXQUiombByyBZgl1yZLGkpCSICD/t6JOUlAQAdq/HnZ/z58/j/Pnzdq/HnR+e/+3zoz//iSzBLjkialUeffRRe1eBiMgI7zARERERmcGEiYiIiMgMJkxEREREZjBhIiIiIjKDCRMRERGRGUyYiIiIiMxgwkRENvHkk08iOjra3tVodX799VesXr0aycnJGDRoEFQqFTQaDcrLyw3WO3ToEEaPHg2VSoUhQ4a06tn1N23ahMcffxyurq4YNGgQtmzZYrTO5s2bERoaisWLFyMyMhI7d+68Z5mJiYkmJ8j97LPPEBISgtjYWAQGBmL27NkoLi4GANTW1iImJgZXr161TcOI7kWILABAkpKS7F0NsrGkpCSx1Z+BiRMnypIlS2xSVmNcuXKl2cpu7Pl/9OhRCQ8Pl6qqKhERuXnzpgAQADJjxgyj9bOysgSApKenN7nOzSUmJkYiIiJEq9XKW2+9JZ07dxYAkpiYqKwTFxcn/fr1kxs3boiIyI0bN6Rfv36SkJBgsswzZ86Is7Oz0bn48ccfCwBJS0sTEZHz588LAHnhhReUdf744w956aWXJDMz0+q22PL8p/aPZwpZhAlT+9ReLhiXLl2SYcOGNVv5jTn/f/nlF3nwwQelqKjIqKzhw4ebLLO6uloAKAlWa3PlyhWZNGmSQWz//v0CQB566CEREbl8+bI4OTnJe++9Z7BefHy8ODs7S2FhoUH8xo0bsmjRInn44YeNzsWnn35aAEhBQYES69Wrl7i6uhqs9/PPP4tGo5Fbt25Z1Z72cv5Ty2CXHBG1aVevXkVwcDAKCgrsXRWFiCAiIgLTpk1Dt27djJYnJSXBy8sLkZGRuHTpkhLv0KH+5QtOTk4tVldrZGdnY/Xq1QaxoKAg9OzZE/n5+QCAbdu2obq6GiNHjjRYLzAwEDqdDps2bTKIL1u2DNHR0Sa74/T77ujRowCAsrIyFBUVITAw0GC9xx57DL6+vliwYEGT2kd0L0yYiKhJ6urq8Pnnn2Pq1KkYMWIEAGDfvn2YOXMmvL29UVxcjKlTp6JHjx4YOHAgfvjhBwDAqVOnMH/+fPTv3x/Xr1/H+PHj0b17dwwcOBB79uwBAGzcuBEODg7KxbS0tBRr1qwxiH366ac4f/488vLyMGvWLKVeR44cgbe3N44dO9aSuwNAffvPnj2L0aNHm1zu6emJ5ORk6HQ6hIWFobq6+q5llZSUYOHChYiNjUVUVBRGjRqFqKgoZRyPJfsaACoqKrBq1Sq89tprGDJkCJ577jmcO3fOqnYFBATAw8PDKF5VVYVhw4YBAL777jsAQN++fQ3W8fb2BgD8/PPPSiwxMRGhoaHo2rWryd9bu3YtfH19MWfOHFy+fBnr16/HggULsGPHDqN1R40ahY0bNyIzM9OqNhFZzN63uKhtALvk2iVbdUlcvnxZAIharRYRkZycHHFxcREAEh8fL9nZ2bJt2zYBIP7+/lJbWyspKSnK+Jc33nhDjh07Jjt27BBXV1cBIMePHxcREV9fX6M6Nozd+dt6X3zxhTg7O8uXX37Z5PZZe/6//PLLolKppLq62mRZemvXrhUAMn/+fJPLS0tLxc/PT9555x0llp+fL35+fuLj4yPFxcVm97VeZGSkXLx4UfkeFBQkHh4eUlJSYnG7TDl+/Lh07txZzp49KyIigwYNEgBSXl5usJ5OpxMA8tRTT4mIyMmTJ2XNmjXKcrVabfJcLCgokICAAOnbt6/MmzfvrvX48ccfBYBRV+C9sEuOrMEzhSzChKl9suUFo2HSYmpMioeHh3Tq1En57ufnJwCkrKxMia1bt04AyMSJE0XE9IW0YcxUwiQiUlNT07RG3VG+Ned/v379xM3N7a5l3Sk0NFRUKpWkpqYaLV+0aJEAkNzcXINttm7dKgAkOjpaRMzv69OnTyuDzRt+UlJSLG5XQzU1NTJixAjZuXOnEtOPz6qoqDBYt7y8XACYpZVpAAAT70lEQVTI4MGDpaioSF599VWpq6tTlt8tYcrOzpbg4GB5/vnnBYAsWLDAYDu9a9euCQAZM2aMxfVnwkTWYJccETULU2NS3N3dUVlZqXx3cKj/E+Ts7KzEQkJCANQ/jt9Ujo6OTS6jMfLy8uDu7m7Rups2bYJarcbUqVNx7do1g2XHjx8HALi6uhrEhw8fDgA4ceIEAPP7+syZM9BoNJD6fyQbfMaOHWtd4+7w7rvvYuTIkZg4caISU6vVAKB0GerduHEDANC7d2/MmjULERERyMjIQHp6OtLT05W6pqenK91q33//PQYPHoxXXnkFe/fuRUBAAN5//30sXbrUqC5ubm4AgOvXrze6PUT3woSJiFqV3r17A7g95qUtcnR0RG1trUXruri4YM+ePSgvL0dERITBMn1CmZWVZRDXjyN64IEHLPqNoqIiZGZmQqfTGS2rq6uzqIyGUlJS0KVLFyxZssQgPmDAAAAwSv5yc3MBAEOHDsW+ffsQGBgItVqtfPSD39VqNUaNGgUAiI2NRWFhIZ555hl07NgRu3btAgBs2LDBqD6mkkYiW2LCREStSlFREQDg2WefBXD7QlhVVQWg/gm0mzdvGmyjUqlQU1NjVJalSYuteXl5Gd1hAW4nJw2TFLVajc2bN+PIkSMGcf2dpNTUVIP4lStXANzeR+ao1WrodDqsXLnSIH7hwgWsX7/eojLudODAAeTk5GDhwoUG8ZMnT2Ly5Mlwc3Mzasvhw4fRsWNHhIeHo7y83OhOl/7OlIgodxf1x7xjx44A6geSe3h4mEyO9HewPD09rW4PkSWYMBFRk926dQtA/RNdehUVFUbrlZaWAoBRcnNnYnPw4EEMHjwYM2fOBHC7i2fZsmX47bffkJCQoHTf7N+/H3V1dfD19UVubq6SSAD1SYabmxu++uorWzTRKiNGjEBpaamyX/T0j96b6jaaMGEC5s6daxCLjo6GRqNBYmIi8vLylLhWq0VAQABef/11AOb39bhx4+Dj44O4uDhMnz4dO3bswJIlSzBnzhxMmzYNALB69WoMGDBAuYtzN4cOHcKKFStQW1sLrVYLrVaL9evXY968eUhLS4O7uztiY2Px8ccfK+0vLS3Fhg0bsHjxYqOn5+4lPDwcAJCWlgYAuHz5Mq5fv27QBahXWFgIoP4OFlGzsNPYKWpjwEHf7ZItBr2WlZVJbGysMoh4zZo1smLFCuX7smXL5ObNm8pgbgASExMj5eXlykDfDz74QAoLCyU/P19WrFhhMAFhRkaG+Pv7S5cuXSQoKEgyMjJk2LBhMnnyZNm1a5dUVlZKbGyseHl5ye7du5XtDhw4IL1795bDhw83qX0i1p//33zzjQCQr7/+Wont2bNHxowZIwAkODhYvv32W6PtqqurZejQoQax0tJSiY6OlqCgIImKipLo6GiJi4uTyspKERHRarUW7eusrCwJCQmRbt26iaenp8yYMcNgQsjZs2eLg4OD9OnT567tOnHihDIjd8OPSqWS33//XVl306ZNMnnyZFm0aJFMmDBBNmzYcM99drdB31qtVp544gmJioqSF198UZYuXWo0oFxE5KOPPhJHR0eDOpjDQd9kDZWISAvmZ9RGqVQqJCUlITQ01N5VIRtKTk5GWFgY7PVn4JFHHsHFixft9vuWasz5P3bsWPj5+WHt2rXNWDPbysjIwJQpU3Dq1Cl7V8VqISEh8PT0NDm+6W7sff5T28IuOSKiZrBlyxakpaW1mae2dDodEhMT8cknn9i7KlY7ffo0MjIyjGYhJ7IlJkzUohoO1qX7W1lZmcF/25NevXph9+7dmDt3rsmn01qbzMxMLF++HBqNxt5VsUpubi7i4+Nx8OBBo+kXiGyJCRM1u8rKSixfvhxPP/00unfvbu/qWOXgwYMYM2YMVCoVVCoVAgMDERgYiCFDhmDcuHHYtGmT8iQPWa6srAyLFi1SBmm/+eabbbIbyByNRoP4+HhotVp7V8UsjUbT5hKOmpoabN26Fdu3b7dqMDlRY3AME1mkqWOYKioq0KdPH/zxxx9tbrzAtWvX0KdPH/Tv31+ZUE9EkJqaijlz5sDBwQF79+7Fo48+aueaWo9jOCzDMXztE89/sgbvMFGL+I//+A/06tXL3tVoFP1Eip06dVJiKpUKwcHB+Pbbb3Hr1i2EhISYfLSbiIjaByZMRE3g5eWFf/7zn/j999854JSIqB1jwkTNory8HFFRUZg5cyaWLFmCf/zjH0YDeysqKrBq1Sq89tprGDJkCJ577jmcO3cOALBv3z7MnDkT3t7eKC4uxtSpU9GjRw8MHDgQP/zwg1LG//7v/+LJJ5/E66+/jqVLl8LJyUn5nXuVDwBHjhyBt7c3jh071qS2jh8/Ho6Ojvj6669bTduIiMjG7DT/E7UxsGLivpqaGvH395fIyEgl9vvvv0uHDh0MJomLjIyUixcvKt+DgoLEw8NDSkpKJCcnR1xcXASAxMfHS3Z2tmzbtk0AiL+/v7KNn5+fdOvWTfkeFhYm+fn5ZssXEfniiy/E2dlZvvzyS4var1ar77rcy8tLunfv3mraZilO3GcZa85/ajt4/pM1OOibLGLNoFetVovXX38dFy5cUF5rAQAPP/wwMjIyICL4/vvv4e/vb3L7lJQUjB07Fmq1Gunp6QYDMj09PVFcXKyMF+rVqxcKCgqQkJCAN954A7/88gsefPBBXLhwwWz5QP0rOSx5o71KpYJarcaFCxdMLn/wwQdRW1uLq1evtpq2WUI/6HX8+PEWb3M/+te//oUnn3yST2K1Mzk5OTh16hQHfZNF2CVHNqfvmurXr59BXP/mdQA4c+YMNBqN0Qs4RUS54Jt6waa7u7vyHjEA+Oijj+Dq6oq33noLTzzxBG7dugVXV1eLygdgUbJkTnV1Na5fv45Bgwa1qrYREZHtdLB3Baj9uXr1KoD6t8736dPH5DpFRUXIzMyETqeDs7OzwbK6ujqD5Ope/va3v+Hxxx/H7NmzsX//fgwbNgwbN260WfmWOHz4MKqqqjBy5EgAbbNtn3/+udXb3E9UKhXmzp3LaQXaGf0dViJL8A4T2Zy+Gy41NfWe6+h0OqxcudIgfuHCBaxfv97i33r77bfh4+ODr776Cjt37kR1dTUWL15scfm1tbUW/5YpVVVV+Mc//oHHH38cb775JoDW0zYiIrKhlhosRW0brBj0+tNPP0mHDh2ke/fu8tVXX4lOp5PDhw9L165dBYBcunRJKioqxMfHRwDIq6++Ktu3b5fFixdLUFCQMnC5X79+RgMy+/TpIwCkurpaREScnZ3lxo0bIlL/pvcHHnhA/P39LSo/JSVFXFxc5H/+53/u2R6dTicApF+/fgbxs2fPyvDhw6V///7yyy+/KPHW0DZLcdCrZaw5/6nt4PlP1uCZQhax9oJx7NgxCQgIEFdXV/Hx8ZEVK1bI8OHD5b/+67/k0KFDUltbK1lZWRISEiLdunUTT09PmTFjhhQUFIiIiFarFQACQJYtWyY3b96UdevWKbGYmBgpLy8XAPKXv/xFVqxYIZMmTZLg4GC5dOmSiMg9yxcROXDggPTu3VsOHz5813Z89913Mn36dOV3n3nmGRk1apSEhITI3/72N9FqtXLr1i2j7ezdNkvxgmEZJkztE89/sgafkiOL8NUQ7RNfDWEZnv/tE89/sgbHMBERERGZwYSJiIiIyAwmTEREdvbrr79i9erVSE5OxqBBg6BSqaDRaFBeXm6w3qFDhzB69GioVCoMGTIEycnJdqqxedeuXcOWLVsQFhaGp59+2uQ6mzdvRmhoKBYvXozIyEjs3LlTWVZbW4uYmBhlmhIiu7PvECpqK8BBr+2SvQe9XrlypU2U3Zzn/9GjRyU8PFyqqqpEROTmzZvKAwAzZswwWj8rK0sASHp6erPUx5YuX75819cKxcXFSb9+/ZQnQW/cuCH9+vWThIQEZZ0//vhDXnrpJcnMzGyW+tn7/Ke2hXeYiMgusrKyEB4e3ubKtqULFy5gypQpSExMhJOTEwCga9euAIDhw4djw4YNRneR9JPB9u/fv2Ur2wje3t4m41euXME///lPzJw5E25ubgAANzc3REZGIjY2FkVFRQDqZ79/++23ERISYvTybqKWxoSJiFrc1atXERwcjIKCgjZVti2JCCIiIjBt2jR069bNaHlSUhK8vLwQGRmJS5cuKfEOHepf0KBPsNqibdu2obq6WpkdXy8wMBA6nQ6bNm1SYo899hh8fX2xYMGClq4mkQEmTERklZKSEixcuBCxsbGIiorCqFGjEBUVheLiYgDAxo0b4eDgoLwvr7S0FGvWrDGIffrppzh//jzy8vIwa9YsAMCpU6cwf/589O/fH9evX8f48ePRvXt3DBw4EHv27GlS2QBw5MgReHt749ixYy2zo8zYt28fzp49i9GjR5tc7unpieTkZOh0OoSFhaG6uvquZZk7Jvv27cPMmTPh7e2N4uJiTJ06FT169MDAgQPxww8/KOVUVFRg1apVeO211zBkyBA899xzOHfunG0bDuC7774DAKOXGevvSP38888G8VGjRmHjxo3IzMy0eV2ILGbvPkFqG8AxTO2StWM4SktLxc/PT9555x0llp+fL35+fuLj4yPFxcUiIuLr62tUbsMY7hjbUltbKykpKdK5c2cBIG+88YYcO3ZMduzYIa6urgJAjh8/3qiy9b744gtxdnaWL7/80uL23lmerc//l19+WVQqlTKze8Pf01u7dq0AkPnz55tcbskxycnJERcXFwEg8fHxkp2dLdu2bRMA4u/vr2wXGRkpFy9eVL4HBQWJh4eH1TPIN2xLw2MxaNAgASDl5eUGcf2s+k899ZRB/McffxQA8t577zW6HqZwDBNZg2cKWYQJU/tk7QVj0aJFAkByc3MN4lu3bhUAEh0dLSIiarXaqNyGMVMXUj8/PwEgZWVlSkw/C/rEiRObVLaISE1NjcVtvVNznP/9+vUTNze3u/7enUJDQ0WlUklqaqrRckuPycMPP2xUroeHh3Tq1ElERE6fPq0MNm/4SUlJaXQ7TR2L4cOHCwCpqKgwiOtnuB88eLBB/Nq1awJAxowZ0+h6mMKEiazBLjkistjx48cBAK6urgbx4cOHAwBOnDjRpPIdHOr/JDk7OyuxkJAQAPWP3jeVo6Njk8uwlby8PLi7u1u07qZNm6BWqzF16lRcu3bNYJmlx0TfZXknd3d3VFZWAgDOnDkDjUYDqf+HtMFn7Nix1jXODP0LuvVdhno3btwAAPTu3dsgrh8Yfv36dZvWg8gaTJiIyGL6hCYrK8sg7uHhAQB44IEHbP6b+ovn3Z64aqscHR1RW1tr0bouLi7Ys2cPysvLERERYbDMVsekqKgImZmZ0Ol0Rsvq6uosKsNSAwYMAACj5C83NxcAMHToUIO4qWSPqKUxYSIii+nvWqSmphrEr1y5AgB49tlnAdy+wFVVVQGofyLs5s2bBtuoVCrU1NSY/U39I+a2KNvSBKUleHl5Gd1hAW4nJw2TFLVajc2bN+PIkSMGcUuPiTlqtRo6nQ4rV640iF+4cAHr16+3qAxLTZ48GW5ubkZtOXz4MDp27Gg0JYT+zpOnp6dN60FkDSZMRGSx6OhoaDQaJCYmIi8vT4lrtVoEBATg9ddfB3C7y2XZsmX47bffkJCQoHT97N+/H3V1dfD19UVubq5yYb/TnYnNwYMHMXjwYMycObNJZaempsLNzQ1fffWVLXdJo40YMQKlpaW4deuWQTw/Px+A6e6nCRMmYO7cuQYxS49JRUWFUXmlpaUAgJqaGowbNw4+Pj6Ii4vD9OnTsWPHDixZsgRz5szBtGnTAACrV6/GgAEDsGvXLovaqJ+pvGGi6u7ujtjYWHz88cdK+0tLS7FhwwYsXrzY6Om5wsJCAMZ3nohaEhMmIrJY586dcfLkSYSHh+OVV17B/PnzsXDhQnTv3h2HDx9W5ghauXIl/P39sWbNGvz973/H2LFjMWDAAEyePBnFxcWoqanBhAkT0LVrV5w5c8bod9atW4eioiIUFBQgNzcX33zzTZPL7tSpE7p27YpOnTq1zM4yY8qUKRARnDx5Uon993//N6ZPnw4AmDFjhvL4/Z1WrVplkDhYckw+/PBDpcsuPj4eJSUlSEhIUF47smTJEogIDh8+jJCQEOzduxdRUVHIz8/H9u3blfFRmZmZuHjxIubPn2+2fUePHsWcOXMA1HcXvv/++wbTBURHRyMmJgazZ8/G4sWLMX36dCxYsABLliwxKuv48eNwdHREaGio2d8lai4qERF7V4JaP5VKhaSkJP7BameSk5MRFhaG1vJn4JFHHsHFixdbTX30muv8Hzt2LPz8/LB27VqbltucMjIyMGXKFJw6darFfjMkJASenp7YsGGDTcttbec/tW68w0REZCdbtmxBWlpam3n6S6fTITExEZ988kmL/ebp06eRkZGB1atXt9hvEpnChImIWg39+8Lul/eG9erVC7t378bcuXNNPp3W2mRmZv7/9u7QSEIgiAJoCxxRrJ/YsCvQTQYkQBWCuhTIhwhwK9atuBWDYq6u3kuA7+bX0NUT0zRFKeWW7x3HEZkZ+75/rU2AuylMQHPnecY4jp8h7WEYbv3l01IpJTIz5nluHaWqlHJbcXm9XrEsS6zr+jUEDi10rQMA9H0fmRmZ2TpKE4/Hw+Oyv3RdF8/ns3UM+HDDBABQoTABAFQoTAAAFQoTAECFwgQAUGHTN5d4LRz4rxyDXGGtAJds29Y6AgA044YJAKDCDBMAQIXCBABQoTABAFR0EfHTOgQAwF/2Bum6vosgkYLEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.summary()\n",
    "\n",
    "plot_model(model, to_file='./img/model/cifar10_deeper_cnn.png', show_shapes=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 모델 학습하기\n",
    "\n",
    "Keras의 `fit`의 메소드를 통해서 간단하게 학습가능하다. 이번 예제에서는 여기서는 10번의 epoch만으로 학습을 진행하도록 한다. 그리고 앞서 준비한 검증 데이터(Validation Set)을 통해서 신경망의 오버피팅 여부를 판단하도록 하자."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:44.022026Z",
     "start_time": "2019-11-09T07:17:44.019945Z"
    }
   },
   "outputs": [],
   "source": [
    "EPOCHS = 30\n",
    "BATCH_SIZE = 32"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:17:44.025550Z",
     "start_time": "2019-11-09T07:17:44.023160Z"
    }
   },
   "outputs": [],
   "source": [
    "def lr_schedule(epoch):\n",
    "    lrate = 0.001\n",
    "    if epoch > 75:\n",
    "        lrate = 0.0005\n",
    "    if epoch > 100:\n",
    "        lrate = 0.0003\n",
    "    return lrate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:24:21.587525Z",
     "start_time": "2019-11-09T07:17:44.026494Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/30\n",
      "1250/1250 [==============================] - 15s 12ms/step - loss: 2.1046 - acc: 0.3937 - val_loss: 1.5979 - val_acc: 0.5324\n",
      "Epoch 2/30\n",
      "1250/1250 [==============================] - 13s 10ms/step - loss: 1.4991 - acc: 0.5481 - val_loss: 1.4156 - val_acc: 0.5945\n",
      "Epoch 3/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 1.2415 - acc: 0.6197 - val_loss: 1.2577 - val_acc: 0.6463\n",
      "Epoch 4/30\n",
      "1250/1250 [==============================] - 13s 10ms/step - loss: 1.0915 - acc: 0.6582 - val_loss: 1.7156 - val_acc: 0.5706\n",
      "Epoch 5/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 1.0060 - acc: 0.6908 - val_loss: 1.0384 - val_acc: 0.7007\n",
      "Epoch 6/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.9503 - acc: 0.7108 - val_loss: 0.8362 - val_acc: 0.7566\n",
      "Epoch 7/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.9021 - acc: 0.7286 - val_loss: 0.8567 - val_acc: 0.7598\n",
      "Epoch 8/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.8801 - acc: 0.7394 - val_loss: 0.9405 - val_acc: 0.7205\n",
      "Epoch 9/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.8496 - acc: 0.7527 - val_loss: 0.7569 - val_acc: 0.7852\n",
      "Epoch 10/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.8373 - acc: 0.7579 - val_loss: 0.9149 - val_acc: 0.7421\n",
      "Epoch 11/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.8197 - acc: 0.7654 - val_loss: 0.8689 - val_acc: 0.7550\n",
      "Epoch 12/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.8116 - acc: 0.7693 - val_loss: 0.7151 - val_acc: 0.8063\n",
      "Epoch 13/30\n",
      "1250/1250 [==============================] - 13s 10ms/step - loss: 0.7930 - acc: 0.7769 - val_loss: 0.7829 - val_acc: 0.7865\n",
      "Epoch 14/30\n",
      "1250/1250 [==============================] - 13s 10ms/step - loss: 0.7873 - acc: 0.7772 - val_loss: 0.7954 - val_acc: 0.7848\n",
      "Epoch 15/30\n",
      "1250/1250 [==============================] - 13s 10ms/step - loss: 0.7813 - acc: 0.7849 - val_loss: 0.8798 - val_acc: 0.7563\n",
      "Epoch 16/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7696 - acc: 0.7855 - val_loss: 0.7179 - val_acc: 0.8123\n",
      "Epoch 17/30\n",
      "1250/1250 [==============================] - 13s 10ms/step - loss: 0.7600 - acc: 0.7913 - val_loss: 0.7361 - val_acc: 0.8044\n",
      "Epoch 18/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7661 - acc: 0.7927 - val_loss: 0.7500 - val_acc: 0.8034\n",
      "Epoch 19/30\n",
      "1250/1250 [==============================] - 13s 10ms/step - loss: 0.7563 - acc: 0.7959 - val_loss: 0.7687 - val_acc: 0.8002\n",
      "Epoch 20/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7536 - acc: 0.7969 - val_loss: 0.8324 - val_acc: 0.7798\n",
      "Epoch 21/30\n",
      "1250/1250 [==============================] - 13s 10ms/step - loss: 0.7467 - acc: 0.7993 - val_loss: 0.7171 - val_acc: 0.8170\n",
      "Epoch 22/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7490 - acc: 0.7957 - val_loss: 0.7118 - val_acc: 0.8182\n",
      "Epoch 23/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7417 - acc: 0.8015 - val_loss: 0.7241 - val_acc: 0.8190\n",
      "Epoch 24/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7335 - acc: 0.8037 - val_loss: 0.7377 - val_acc: 0.8147\n",
      "Epoch 25/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7338 - acc: 0.8034 - val_loss: 0.7701 - val_acc: 0.8091\n",
      "Epoch 26/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7364 - acc: 0.8040 - val_loss: 0.7439 - val_acc: 0.8130\n",
      "Epoch 27/30\n",
      "1250/1250 [==============================] - 13s 10ms/step - loss: 0.7256 - acc: 0.8076 - val_loss: 0.7171 - val_acc: 0.8243\n",
      "Epoch 28/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7173 - acc: 0.8131 - val_loss: 0.7393 - val_acc: 0.8173\n",
      "Epoch 29/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7181 - acc: 0.8126 - val_loss: 0.7066 - val_acc: 0.8211\n",
      "Epoch 30/30\n",
      "1250/1250 [==============================] - 13s 11ms/step - loss: 0.7220 - acc: 0.8117 - val_loss: 0.7163 - val_acc: 0.8190\n"
     ]
    }
   ],
   "source": [
    "opt_rms = RMSprop(lr=0.001, decay=1e-6)\n",
    "\n",
    "model.compile(loss='categorical_crossentropy',\n",
    "              optimizer=opt_rms,\n",
    "              metrics=['accuracy'])\n",
    "\n",
    "train_set = datagen.flow(X_train,\n",
    "                         y_train,\n",
    "                         batch_size=BATCH_SIZE)\n",
    "\n",
    "history = model.fit_generator(train_set,\n",
    "                              steps_per_epoch=X_train.shape[0] // BATCH_SIZE,\n",
    "                              epochs=EPOCHS,\n",
    "                              verbose=1,\n",
    "                              validation_data=(X_valid, y_valid),\n",
    "                              use_multiprocessing=True,\n",
    "                              callbacks=[LearningRateScheduler(lr_schedule)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:24:21.932518Z",
     "start_time": "2019-11-09T07:24:21.590687Z"
    }
   },
   "outputs": [],
   "source": [
    "model.save('./bin/cifar10_deeper_cnn.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 모델 평가하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:24:30.316554Z",
     "start_time": "2019-11-09T07:24:21.933581Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss : 0.6295287955284119\n",
      "Train Accuracy : 0.8461499810218811\n",
      "Validation Loss : 0.7161091759681701\n",
      "Validation Accuracy : 0.8190000057220459\n"
     ]
    }
   ],
   "source": [
    "# Train 데이터로 평가하기\n",
    "train_loss, train_acc = model.evaluate(X_train,y_train,verbose=0)\n",
    "print('Train Loss : {}'.format(train_loss))\n",
    "print('Train Accuracy : {}'.format(train_acc))\n",
    "\n",
    "# Validation 데이터로 평가하기\n",
    "valid_loss, valid_acc = model.evaluate(X_valid,y_valid,verbose=0)\n",
    "print('Validation Loss : {}'.format(valid_loss))\n",
    "print('Validation Accuracy : {}'.format(valid_acc))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Train / Validation Loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:24:30.484782Z",
     "start_time": "2019-11-09T07:24:30.320794Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Train / Validation 데이터에 대해서 Loss 시각화\n",
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "epochs = range(1,len(loss)+1)\n",
    "\n",
    "plt.plot(epochs,loss,label='Training Loss')\n",
    "plt.plot(epochs,val_loss,label='Validation Loss')\n",
    "plt.title('Training and Validation Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Train / Validation Accuaracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:24:30.616033Z",
     "start_time": "2019-11-09T07:24:30.485766Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Train / Validation 데이터에 대해서 Accuracy 시각화\n",
    "acc = history.history['acc']\n",
    "val_acc = history.history['val_acc']\n",
    "epochs = range(1,len(loss)+1)\n",
    "\n",
    "plt.plot(epochs,acc,label='Training Accuarcy')\n",
    "plt.plot(epochs,val_acc,label='Validation Accuarcy')\n",
    "plt.title('Training and Validation Accuarcy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Accuarcy')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 신경망 모델 검증하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:24:32.126360Z",
     "start_time": "2019-11-09T07:24:30.617073Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Loss : 0.7393944273948669\n",
      "Test Accuracy : 0.8158000111579895\n"
     ]
    }
   ],
   "source": [
    "test_loss, test_acc = model.evaluate(X_test,y_test,verbose=0)\n",
    "print('Test Loss : {}'.format(test_loss))\n",
    "print('Test Accuracy : {}'.format(test_acc))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RenNet으로 학습한 신경망이 과연 어떠한 이미지를 잘 못 예측했는지 확인해보자"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-11-09T07:32:50.380313Z",
     "start_time": "2019-11-09T07:32:47.241070Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 16 Axes>"
      ]
     },
     "metadata": {
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     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 재연성을 위하여 랜덤시드 고정\n",
    "random.seed('intel') \n",
    "\n",
    "# TEST 데이터 예측하기\n",
    "predicted_result = model.predict(X_test) \n",
    "predicted_labels = np.argmax(predicted_result, axis=1)\n",
    "\n",
    "# TEST 데이터의 정답 가져오기\n",
    "test_labels = np.argmax(y_test, axis=1)\n",
    "\n",
    "# 잘못 예측한 데이터 찾기\n",
    "wrong_result = []\n",
    "for n in range(0, len(test_labels)):\n",
    "    if predicted_labels[n] != test_labels[n]:\n",
    "        wrong_result.append(n)\n",
    "\n",
    "# random 함수를 통해서 임의의 16개 데이터 가져오기\n",
    "samples = random.choices(population=wrong_result, k=16)\n",
    "\n",
    "# CIFAR10를 그릴 Figure 준비\n",
    "plt.figure(figsize=(12,8))\n",
    "\n",
    "# 16개의 이미지 시각화\n",
    "for count, n in enumerate(samples,start=1):\n",
    "    plt.subplot(4, 4, count)\n",
    "    plt.imshow(X_train[n], interpolation='nearest')\n",
    "    label_name = \"Label:\" + str(CIFAR10_CLASSES[test_labels[n]])\n",
    "    pred = \"Prediction:\" + str(CIFAR10_CLASSES[int(predicted_labels[n])])\n",
    "    plt.title(label_name+', '+pred)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('./img/result/cifar10_wrong_result.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 다음 예제에서는\n",
    "\n",
    "지금보다 더 많은 레이어를 가진 신경망 모델을 통해서 더 많은 클래스를 가진 CIFAR100 데이터셋를 분류해보도록 합시다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## 참고\n",
    "\n",
    "- Intel\n",
    "    - https://www.intel.co.kr/\n",
    "- Intel OpenVINO\n",
    "    - https://software.intel.com/en-us/openvino-toolkit\n",
    "- MNIST\n",
    "    - http://yann.lecun.com/exdb/mnist/\n",
    "- CIFAR10\n",
    "    - https://www.cs.toronto.edu/~kriz/cifar.html\n",
    "- ImageNet\n",
    "    - http://www.image-net.org\n",
    "- Tensorflow\n",
    "    - https://www.tensorflow.org/?hl=ko\n",
    "- Keras\n",
    "    - https://keras.io/\n",
    "    - https://tensorflow.blog/2019/03/06/tensorflow-2-0-keras-api-overview/\n",
    "    - https://tykimos.github.io/2017/02/22/Integrating_Keras_and_TensorFlow/\n",
    "    - https://tykimos.github.io/2017/03/08/CNN_Getting_Started/\n",
    "    - https://raw.githubusercontent.com/keras-team/keras-docs-ko/master/sources/why-use-keras.md\n",
    "- Keras to Caffe\n",
    "     - https://github.com/uhfband/keras2caffe\n",
    "     - http://www.deepvisionconsulting.com/from-keras-to-caffe/\n",
    "- Fully Connected Layer\n",
    "    - https://sonofgodcom.wordpress.com/2018/12/31/cnn%EC%9D%84-%EC%9D%B4%ED%95%B4%ED%95%B4%EB%B3%B4%EC%9E%90-fully-connected-layer%EB%8A%94-%EB%AD%94%EA%B0%80/\n",
    "- Convultional Nueral Network\n",
    "    - http://aikorea.org/cs231n/convolutional-networks/\n",
    "    - http://cs231n.stanford.edu/\n",
    "- CNN Models\n",
    "    - https://ratsgo.github.io/deep%20learning/2017/10/09/CNNs/\n",
    "\n",
    "- VOC2012\n",
    "    - https://blog.godatadriven.com/rod-keras-multi-label\n",
    "    - https://gist.github.com/rragundez/ae3a17428bfec631d1b35dcdc6296a85#file-multi-label_classification_with_keras_imagedatagenerator-ipynbhttps://fairyonice.github.io/Part_5_Object_Detection_with_Yolo_using_VOC_2012_data_training.html\n",
    "    - http://research.sualab.com/introduction/2017/11/29/image-recognition-overview-1.html"
   ]
  }
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