Food Vision- Final.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "13231e65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GPU 0: NVIDIA GeForce RTX 4060 Laptop GPU (UUID: GPU-bf713eb1-4e27-c357-a14c-b4dc279425ea)\r\n"
     ]
    }
   ],
   "source": [
    "!nvidia-smi -L "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6c7d3c91",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-06-28 11:02:25.615322: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
      "2023-06-28 11:02:25.708079: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:7630] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "2023-06-28 11:02:25.708094: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "2023-06-28 11:02:25.708405: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1500] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "2023-06-28 11:02:25.744934: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2023-06-28 11:02:26.382466: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /home/vis/.local/lib/python3.10/site-packages/tensorflow/python/ops/distributions/distribution.py:259: ReparameterizationType.__init__ (from tensorflow.python.ops.distributions.distribution) is deprecated and will be removed after 2019-01-01.\n",
      "Instructions for updating:\n",
      "The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.\n",
      "WARNING:tensorflow:From /home/vis/.local/lib/python3.10/site-packages/tensorflow/python/ops/distributions/bernoulli.py:165: RegisterKL.__init__ (from tensorflow.python.ops.distributions.kullback_leibler) is deprecated and will be removed after 2019-01-01.\n",
      "Instructions for updating:\n",
      "The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.\n",
      "Notebook last run:2023-06-28 11:02:27.163649\n",
      "Tensorflow version :2.14.0-dev20230627\n",
      "[INFO] helper_functions.py found in directory, skipping download\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "tf.config.run_functions_eagerly(True)\n",
    "import datetime\n",
    "import os \n",
    "\n",
    "print(f\"Notebook last run:{datetime.datetime.now()}\")\n",
    "print(f\"Tensorflow version :{tf.__version__}\")\n",
    "\n",
    "# Downloading the helper functions \n",
    "if not os.path.exists(\"helper_functions.py\"):\n",
    "    !wget https://raw.githubusercontent.com/mrdbourke/tensorflow-deep-learning/main/extras/helper_functions.py\n",
    "else:\n",
    "    print(\"[INFO] helper_functions.py found in directory, skipping download\")\n",
    "\n",
    "from helper_functions import create_tensorboard_callback, plot_loss_curves, compare_historys\n",
    "import tensorflow_datasets as tfds\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c0404b0b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-06-28 11:02:27.879196: W tensorflow/tsl/platform/cloud/google_auth_provider.cc:184] All attempts to get a Google authentication bearer token failed, returning an empty token. Retrieving token from files failed with \"NOT_FOUND: Could not locate the credentials file.\". Retrieving token from GCE failed with \"FAILED_PRECONDITION: Error executing an HTTP request: libcurl code 6 meaning 'Couldn't resolve host name', error details: Could not resolve host: metadata.google.internal\".\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "food101 in tensorflow datasets: True\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-06-28 11:02:28.668254: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-06-28 11:02:28.719316: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-06-28 11:02:28.719410: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-06-28 11:02:28.721068: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-06-28 11:02:28.721155: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-06-28 11:02:28.721212: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-06-28 11:02:29.142263: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-06-28 11:02:29.142378: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-06-28 11:02:29.142457: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "2023-06-28 11:02:29.142527: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1814] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 6076 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 4060 Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.9\n",
      "/home/vis/.local/lib/python3.10/site-packages/tensorflow/python/data/ops/structured_function.py:258: UserWarning: Even though the `tf.config.experimental_run_functions_eagerly` option is set, this option does not apply to tf.data functions. To force eager execution of tf.data functions, please use `tf.data.experimental.enable_debug_mode()`.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "################ Loading the dataset\n",
    "# All the available datasets\n",
    "datasets_list=tfds.list_builders()\n",
    "\n",
    "# Set our target datasets and see if it exists.\n",
    "target_dataset=\"food101\"\n",
    "print(f\"{target_dataset} in tensorflow datasets: {target_dataset in datasets_list}\")\n",
    "\n",
    "# Load the dataset\n",
    "(train_data, test_data),ds_info=tfds.load(name=\"food101\",\n",
    "                                         split=[\"train\", \"validation\"],\n",
    "                                         shuffle_files=True,\n",
    "                                         as_supervised=True,\n",
    "                                        # True = tuple format \n",
    "                                        # False = Dictionary format,\n",
    "                                          with_info=True\n",
    "                                        # True = metadata -> tfds.load() returns tuple (data, ds_info)\n",
    "                                        # False = metadata -> tfds.load() returns tuple (data)\n",
    "                                         )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dc03eda5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FeaturesDict({\n",
      "    'image': Image(shape=(None, None, 3), dtype=uint8),\n",
      "    'label': ClassLabel(shape=(), dtype=int64, num_classes=101),\n",
      "})\n",
      "********* First 10 class_names\n",
      "['apple_pie', 'baby_back_ribs', 'baklava', 'beef_carpaccio', 'beef_tartare', 'beet_salad', 'beignets', 'bibimbap', 'bread_pudding', 'breakfast_burrito']\n",
      "*********Take one sample from the training_data\n",
      "<_TakeDataset element_spec=(TensorSpec(shape=(None, None, 3), dtype=tf.uint8, name=None), TensorSpec(shape=(), dtype=tf.int64, name=None))>\n",
      "*********Single element values\n",
      "\n",
      "    Image shape :(512, 512, 3)\n",
      "    Image dtype :<dtype: 'uint8'>\n",
      "    Target class from Food101 (tensor form):18\n",
      "    Class form (str form): chicken_curry\n",
      "    \n",
      "**********Checking the min & max values\n",
      "tf.Tensor(5, shape=(), dtype=uint8) tf.Tensor(255, shape=(), dtype=uint8)\n",
      "******* Plotting the image\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'\\n    Steps to do before forming the dataloader:\\n    \\n    1. Need to convert uint8[downloaded type] -> float32\\n    2. Make all tensors of same size\\n    3. Scale values between 0 and 1 and Normalize the values of the images\\n\\n'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1sQ3EGInR0ydWIUaKwhIVJKVRxpB03uw0eB+o64b5bMHR7RPO7dXsTbbFiRjLzs4Ov/9Hv8/VG1cZb2+TsPgA0+kur3n1q3jFY6/k3X/8x7z97b/PrZs3GJUOSKQUMcaglZbVqaTpS2tZuihFQpFSIqVEjLLhaK1JEbwXsTilFd4Hgo8oLZuPUYaoxcF0nScG0FqhsCwXC5ROjIqCcmtKDEE0fGKkrhseeeSljMcKlEarJJuIUmilsMh3rdT6xld5E/w4Bi6f763f+XjaeCxtfCkFSqvh31YbrLVYI5ucSlCUJU3d4JyjLAq5e41BayOfjbUEFE1bo4LHliUqb3akSPbbQDq10aTsIrSS9dC2LVZbqqLE7W6zXCzyH0bqWjb+qiwpC4c1ZjjS/bj+BCTFsAn297a1DpcDHaXydtlvlGiMgclkTDo4YF5WzGZzlnGJUgVaK0ZlQVkVWTMrUXSWplliC4fVjhg7yqqk8x0xgu8CITVEGsjX1mqNSgFCwjuNosIohVY6b/By4kZp0AmVwOj+SsZTV0DO+x4R0vNcFHWf1+/Dsft2CovnbuFjImrDzeImxXhKtbWFKUpmyxnHs2NiCpSlZVRW4D2LkxNuH95kNZ9RL2fUbQcmEVY19Y2W2yfH+BSybk0CA9ZZUoKmbjGmoNCOc7sHPP6KV/PyR1/B+YPzLJZzbl67xZNPvJ93/sE7uX7lKvWipmsDXdcSU8I5g28D6Iihw4SK2Hq6ZYsuHQSFbzwWze50TBcsKdR4ZfBdIJHQWuUIOxJCQCmFLQpC8IQU0FmETWsNGkJoUR7axrNcNMznDcdHS27dPCGGiu3JmIBnOt3hwYcf5vb8hJ2dHQ4O9tne2Wd354DpeAeFJXUti+NbvB/PfD5juVxgjMVZh1GGFCORABiU0iQSISViiPIVI8ZolJZbJ/hA9FEWswmElEgoisIRfISYMMZI1hMTKXRZcRRsoVGLROw6nDEURqNVx+1wgveJohxzsJ/Y3tnNzsCgFBg0BiXOEnXHjfxx7BHuYZtXI9212lV+TJFIpD4gUFruSWMJeQNPMZFijue1RmvNaDRiMh5hlKKLkagtHbJZq5gIIdCGSDAGXRU5co2o/Dr32nx8DAwjo1NCA2XpcFWB1QpSJHQtwWg0iqpwFM6g++wgRXqv88HuhKQkU0gKAgkfAinJhqpy8HHqDJXKGVbCGI0rnGTIMRJiABIJCexSSvmnhHWOpEY4K1mWD73z1XRNg08J44q81rUElFZTWIPS8llUzolz1hqjFCp7s5TEgao+YGIz6l9H/2p47hDz5U+//66Gn1+IY32hdt9O4fDpK0QUjVK0SmEnU8Z7O6iyAKOxLjsDAsuTGSeHh9y4fo3Z8RHEIDeZgRADvvPgFarTdKGTiEMlYhKYYzSesDfdZ3/vHLs7Bzz68Mt5yUMvI0Z45qkP8Mwzz7CYL7hx7SbXL19ntWhom475bE4MkaJw1KEldgGHZ2tcMHYjSlOhk0ElR+hqQgcGi1IWHyKhbQltwLceYy0gN66xmkTA48XT54WijSKEhO86lNbElGhTZLVqOTlZsbvTcvtogffP4MwNHn+14eKFS4TocUXJbLbAuILpZMGFc5fY3drGaof3nklhuHRuH6siy8WCa9evc3T7JEdFkLxcL4mkItYWxJQgSvoZUZJ2h5DPV8AcUHTe42PAFSVGWSAQUiBGRYopR6EakA0jdQljFMEYlssVjEqqaoQPiVXd8tzlq7RdpByNmLgRRlk0DNmBzpvGOtpMG/8/s3uZbFU5RL7HbxUKrTXOWmKKECIpRAItgZizyYQrLGXh2NnaQqNovKdB0a2WhM4TE0M2p0gYEr2Itx5eXeV/6+GnFMOQ+bqiwlUVReGotMakMaFrqZdzQmconWEyKiSYyHmGvhPz2LD1656+HiGmYVuM+fV7xxA2HFiMkbb1tF2i9S11u2K5nDNfLAZHWdcrlrXBOYc2hpQCRVkQU8AoOcu6rgkx0baBQKJt6yEz67qOwmmm4xFbkxGVdRTWYYzBoAfILaUEKcjqU+vASJ4hQZe82TT8Lm6sFHXH1/Bg6mHWF38V3bdTmB3PCQqic6jxCG0N1jlsWVKMKow1dPWK24eHXHvuOQ5v3ODk5JgUPEbJRlOOHLZyWKVp2w7ftoQUUICzdvDMu5MdLl56kIceeITdrT2qcsztm4dcefYKzzz7HDdv3RrgpXbVsZyv5AP0STbHKDcGSRFSy972lKqaYmxFQtG2ihgdCUckELpA3XWEEEk+YbSlcCUpJYkudH/xEyF6jDU4Y9FaIvbOe7RJuLIk4okhUdee+bzh5o0Tbl6f0XWR46XnEz/xE1m1NX/8rj/hxs1DQgSSZnd7n4vnLmF0IhJJoSV1NfvbW5zf38O3HbPjBT5kkDUJfKBQhBwZpQgpxSEi6aNLjSZESDHm50fBbUMidAIZSYSicpgiXykpUoSu7YihI8WE7yQTUUkxnUzxEY5nc1CG8WTKI+UDGKflJk4bUJHkIPmfAjWt0+iPD/uQkNFG1Nw7hJSzA2D4To6etYaisKQQiamTzzFGog+gAlopysIJdGMFtkm6IMSA0ZJlEAMJhTEGayTC1XlbUiRiv2EpPTgIcsBBSlhtMK7AGos1GqsV0WqqwjEZVRitGDnLdDzGZacgr5Hueu8f8rqpAWRBaY3OtYThDsrHCEEQg7aNtHVN17R0XTc0ISolmU7rW0zTYAuHtpqoFdYLlEpKBA+djxA1Bmi6lqbt0FqhFXTeU6fEViVQkkZhNsIvyPBtEshWK/ngVP50e0es1Noh5MrRqfe/rrutjys+9aMTVt1/TcFotHNMd3eYnj/HZG8PNxnjk9QAbl0/5PjwkOPDWxzevMn8+Jh6tcqFkEg1qhiNJpy7eI5yXHHr9i1uHN5EK0thHdPJhHJUUZYFly48yCMPvYTd7X3apuNP3/OnXLt6nePbM5q6wcfI7GTGYr6ibTuCz2FCMvhOcPOyLIg+4IqKarKDLSf4ZEleUsbOK0I0NF1i1TUs2442JIm2keHoIUgEbYxGKXDOIoF6ko21S/gu0DStFKOsJalECFCvOm4fzWlWgeAl4r55fMIHrjxH0zY8+8yzaKNZrWpOTmbcvHmT+iULRtZB7Ii+oWuXJBRdqzk5OiL5SApKNn5tBJoxCp00KYQhFZa6AbkWknDOklIkqoQ1Fp2fabQlhAzdJcQpRsnVjTFSW9EKpQ1NW7Na1YQuoNDiGLRDKYm8Do+OUFozHpWcP9gTaC37Un2viLf/8aMU7fx5sud3ButN/vTjmr72nPJ/4kg3ny5PsNZKBhsU2mRwImVygbMopAYVgsChWoPJsKFPiYYWvGTy1mi0Og1t9GeZUpLPKp9XT8aIArhLZumMbHe56D2djKmcpbCacVlgBN8a6g0JRdrIGNTmhVL9K6/frUKQhhAj2kltJPbuMz8hkggx4r2nqRvZJxZzYgxUlWS41lpC9LRtS4xBAlxr6bpER4dOHdEHUkDqa1HWlARE2WkQiSEQvWRr43JEYWx2DBnoy/CcoAtaMiAlmXPvCMRJILDa+q2fsgE0eh4o78W2+3YKk4sXGG9NGW9vs3Wwz9bBHqYouHLlCjdvXOfyM88yv32Mb2vqxYIYItYYYkqyWUwmjMZb7B9c4Nz5A/b2DyTKPDqCoIgdjHYmXDh3gQfOP8Sk2ub41oxnPvAs73rnu1nM5+iM9/sQmc0XdG0HSWOME7aMkc3cGIvvJJ2uRiNcNUWZghAUTb0k+I4uswua1nO8qFm2gRg1JiKLKuXIQgt0AooQvBSNkhYILMg9XjhHQuO7gHYKhZbM4GjGQq2wtsRVBd1qwfwDS+qmIcaIU475fEEIkWeffZad6ZRLFy+wWi64desqMbYsFg2z2YrVYgn0EIwihkjjVxhrsUaiRRSZgWQoS0fnQ2b8SLqulNycvm1BCdNBIk4t6WxSfTA2pNlSn0hYI4NvYlLUTYcPkc7fptv2jEYVtgtodcSTTz6NM4aLBwckNZRF6Z0V+V2sb+90N33i48gG33hqq1fCNsr7Z0wRlMkYfMr5Q1/sVQjJLJJSlAwxybVOKeYJbZGYAiQtkX8UsoXJWHhSnhRijnYTRNm0SBGtycwnKZSmfG4xJRbLJV0Cl5SscyJYCSQKZzCM6IymNCYXutfZD8gG2Uf5QwTcX4O0dgpSVxAGFj18mtKp2yYhxIqopPCslcK3Lc1qiW9bjFLYsmQyGeOKAh89pq4FYQgdCY3RdnjxhKZpG7rG53Uj96xRhugj1ko27YzDGYGN+o2/3+xT8MQQcv4g97lRQuDQ60+ZzQrC5v976+Hq52MVvdir576dwsXHXsZoNMI4RzI9Y0VxcnzM1ecuc+v6DdpVDSESQqIwjmgE73SFoxxNQFuOZwtcWTGZTDm/f4HF8ZLQdSxDTQyHjKttbt864cpz17l18zYnRyccHZ3g2w6ddPbcEd+0KKUxtkAbu2baGCeF6qaTDdJVEDXLkyWdCtAsaVZLms6zmi9p5ktWq45VAIXFRUWKEeuMFFgVKC3QRwhJHIfN0FH28tZYfEz5Z7kpvQ94HzDaMJ0UVKbAx1o4B0phjMXkc63rhpvXr/PuFPnAB95P6FoMkgKH4IfFnWIiBlncwwabIil6CisRocm01MpZnLM0dUvXtShtJFrMm3PM0aRWaigoJqLUR1AoHGkoJAJICoyWaNDHRLtY4kNkXDdMRlU+HuxsbbO7vUNV5NurP1XWBcJTQeFmVe3jxO7GzIc8L2cJAhtFkIKuihh950XKBVWlcdoQEhgFMQZ88PhWCdtHq8xGC+QaNAZwRqJ7H4UiKbBkAiVBRFIZt04bIJ+SzVDw/Yyb58gcBSpqSifFXYzB5z8xGU/vo91+K3y+q9M7x5QhrJg2k0u1wToSEkVCanpRJbQWJzStKrrpBGdyRqxsZj8lrNKUZUlKkboOqJRZeyGSglx0lV8rIVBRPzbVWkuKAWcsRVlSuhKtTc7SAjGpgWqrlML2dcgM6+rUv/tcXwFUn4nxsV8K9+0UHnz0pUwmE2KIPPvMM7zvPe+lbRqefuppDm/dwnddru4LTVJu0kgXPElr6rZjdXjE8XzG0dEJ+/v7xKg4d+4i0Qdu3bzFzRtHdN1TPPvMNWIMnJzMMcqgtcVZRVM3dG0riyYmtDWS1nlJKUFjtOCB3gfhHy8bjq7fZB4ailAzUoHkGyIKG6GMCRcDxkM0JhevhMmjUsbGo0QKKeZlmjI2iUArIAwQZQxaJ1kwQYKaEKHzgbbrwEBIko6iDMEnklZELTwiZRSdbzi6fQvvG4nmsCitKcoKs4rE4ElJCf7rhI5qtcKkhLOGre0ttra3GU+ntN5z+/Yx127cyMGIRJpKC/NKKQXGDA5hc9GGIOm1c5aiKAQuCJHoE8ZEtDEYY+h8YFU3kgJrxUwpLl+5wsH+Hg8/eEmuJQGjNnOGbAoGvuHHid2BFksmsIGvS0VJkVE8qeOEIJldhvL6eEDl3wv8kAEZpYZ5z77tMFo2UGtl09IZ0pCtyKLR6BBxKQ1OZ13ryVuzUrksikTAiGMwVpiC2phcn0j5vFXOQARuwZAzzXVNQI4t9YA7O2gHZ7NxzYR1lf8yR+39+fTBTcxsIqUV1hrGo0qyaCRIa1uPj5Gm62h9h9Ga0WiMcwVt0xFDFDakD6d6R3onFJNAU6FtBW7TJdZYjDXcmQ0rlGQG1mRqd//42t31tYV1/px/93zL4Xm9xYvrRu7bKRycO4+KidnxCYc3bvD+P3kPi/mc1WqF955Iou06klIUSqOTyrRH8CHQrWpCDJShJCRouo6qrNjZ2ub8wTkunH+A97z3PcxmC2YncsyUMgauNaHzUvCMSbx4TuliSvlmyEXXfIPYokArjV/VLGOL80sKE6hKRakTk+kWo/3zHHrFHz55hbqek0wi6BxJE+lCHIo+SglaaLTBpHwTKCULFijKAleWoCNRexJyYxkEf+3aDlumDM1IgSwlhVKSbscoN5wKibZrgIBzBdYUQoONjuA1y2VLCBFrNWVhUSrijMYlxWQ84sGHH+CRlzzCZGuH+WrJk089zWI5Y9X4gRqtlcYGS/SBjgRYiX6SRPpaqUwTFnZEyotB6IAKlEEZI9lRDMRME7TW4Kzl8PCIy1eucuH8AZXThBDQdqOysHEPf6yjoj9Luzs7WFvvGAbsZKOo2lMnY0qcKjT2f5LCsMmAwlkr0XEmRDjnBPZEYlOVIipJhqGdwSjEKWRnQg/rpCjReLojk8k0Vlj3o2htIPdNxJhIVsu9beX1JarPcFCGLdVGiriZLKrhP4j5ffYOUvZqPVyXkHJWkw8iMFIidoHYdYS2JSaNj0nqhFFo2ylJ1G5yX4dVlhgjjdY0sSaGKNC0lf0rppgZeZBiGOBalfsOUoqEGIkadOYUizPJTZyb93zqGVhrB9AziXTqncbdtgG43uPRF8/u2ymYELl6+QpXnn2OK089w+zWbVKMpK4dNhdlJVX1XQAf0Npgi4Iu+bXj8B7VKLSyEDusXlG6OaBoW6FzJoRyZq0j+oBOnrZppV4AwqLJ7JWQIigtzgJJY1VeGKREaltS59kZWx6/eMCFscGljvHWNgcveZSlm4Adkd73DLfqhlYpuRFROGtQuZkuxiCYqxboR6OJRIiynGPGdHs4KSYpNFlnMcZIgaxpJd2sKlKSXkbnLEpB27TcunWTUWXZ3tlif39nuCbjYpvypVNuH865duUGi/kCRUSbRPAtViX2xhN2trZ4+OIFLp07wI1GQKBwsihXTUeMAWM1hXOUrqJtG/lsjUBhMcQcvAeUhiI3zcUoWVdpLSgLeRH6zkunhJJItV41KBRt23H12jVOZi+h2N8Znr+Jmm/axyF6NNgAoyQ1bLv9tiDRZhR22QZ8st42cm4RY8a0BQqUpi6FUeUQPK3R/MyCyXUDYx2FLoU2rBRJRYbiNqB7jL1nuJEGqjP0WYilqAqUFrpzSAmbJHArnKMajVB9JpOS1BKSFLzvfU02obQMoSUygUKj+8w95Z6MKNfAx4hHseo6lssVy8WS2XxBCAjc2XlChqIiCWVy3YxEYQus1iTr0CU5V5H307YdddPQ+oA2Gq0sKlhcKZmCUmpgfqWUz1H12YBaZ3Y5M6CH0k45gEjPx/tYr4X7dgrv/IO38/RTT3Pt6jWOj46oVzXWGLrgaTuPsobCWpQ1+NgSfEdSCW0gtMKL11rjmw6nbY42Eov5ivnxgnq54ub1m7ReIm/rHF29Ei62kdTXGotJkHQCDCHKhxFVFLwUkdwgV/yNMjhdMEJzabTFo9M99kyHigalDQWKWBTs7W6xNS243azQxogDMJqicAOk0jUtMQnnX2v54AwaV9iMObbCQnJy06L7pjbBZjvfUY40W9tTdvfOE5MmRCn8rpYLlosj5rMZVo/Zf+CABy6cJ3hPvep44OIjPPLwKwhe8/TTz3L5ymXmx7epl0fMbt9C+ZaDIrJXQRWWnFy/wsoHjpYr5ifHxBDwviX4hHMFVWUpXEXbuSEjC0E2gxgCKgpTJWXHhoGyKCiKghClmJ8AVxa5kJZQyuBDpF7VpOhYLpccz+bs7mzhdF9+u4dDUM/3mxfB0kdvgfXb1hoCu9Puxv97kkAaNol1bWW95cr2IO5Zvied6aTK5K1D9dC/9IPoTHmMa4hTJZ2bBvuvnKUi8IsW/jIuCeSqh8g9kZTKWawmILRkYQpJodrHhM+MHFJeB8pitMaaXADPzkRpicY3jxmRwnmPr8tV0RvXQYK9pNaOIYX+ypAhYkWKZsgWklIEFXIwJky6putYNa2QU2Kk85Kh9DCQ0gZjLMooVEikTEV1uf/DGEfrPa2Vc3UurCE6VVCVjmpU4gqHNeCMotAGp8gsJNm3VPKoHp4lO7fB7bF2Eve5CjbXi/oorJz7dgrv+KO3c3h4yGy2IIoGAl4LIUxHgVN8LbIVKUa6GNAhEdtIXdcoqwdutNGWetUwP1lSWIeOMJ/N8U0gBLmRQsYcUxJOsVVKONEqkYwjREVKAk0EvHT3qoTWKUMxklV4L52dZTKYRYMxHUVpQBeEkLh5dMRz165wsphhLDhj0BFc4SgKh7Wa8aiia4WNZLTN3YnCkx6NK3Z3dwnRc/naVZarJSpotLWYssK5AqU19WrBZHvC3v4e5y6cJybLZLrD1tYOJ0eHPPnEuzk5ukGzqrl1/TqxWWKNhmCwFx/hYGubqCzb21tcfGCfp554D1eePKGjY1woHtoquXB+B1MVXD++zeXrtzhpPMerhtC1ku4CIIwSbRImSkMQebFqlbtArUWR8F1LWY6yF1QYIxuQs4WQB4oRwXtWy5U0uaFlYQGz2YLDw9s8eOkiLmcc977pP5r1hCE2uw97/rT9+Z6fNsP3u/5y4+e08d7zRipbXC6gqr6lS2L5DNxlzSMt2ZnO39XAgM+RacJYaf5MSjbTGJKwcGLMhAYjW6607hCUEA50ijgiLnPsyZo7cYBo8vVTEgEnJU7Kx46euBo6T7IRE6GwlmjIDVuJLgRC12UFgELOOeOHJl8HldafUBRWh9Svcl9EiLLBxyi1qZhkw00oiGq4XgLjaHQKlMYRRyOR8OgiS1bQtRlyk3NTMRG9J+lM4jCemCVkdHYcVikqa3EKuUbO0XYdnfcobSidZlSVVIWltIbSikMwJHGymCz7koZuCrW5pat7ZM8bAcMHM3Xq3y/uGrr/jubDWzRNm6voCm0M1hUZchC2QxAXT4i99k4ktHLjFsYxGo0ZjUaMRhNSiFy9co121TAuxmgMhStIKheNEzl1lAayQKJwFqwhhIgPiqSFmy2fdgQlgm5Y0BEInqQiQUMba5YdjI2hrAo6o5nNFzx9dMLl6zdZNg3KVRJV5UK5QWG1prCOUemIIReavOCvo9GIl770JXzqp306Sit+47//Ju974n20viN2kpq3TUuildb5LjCfz1H6EFdO2T+4wCOPPIK/eIHQrXj3yW1OTo5oljNuXFM4Y7CmYjLZ59GXPs50uostNLu7W4zHJV3borViZ2uL7b09rLXMFktu3LzJtWvXOao7mghNkIyNBDF0LBdz6no1kE1QuUaSkrz3steoKSmLAuMMrfekLGy3tbXN+XMXuHjxIr4LPP3U01y5chVjDGVZAIGTxZzr129w8sjDjMp9+tj6Y50af3C7v8W13uLvJ0NA4LOBMdZvA5slR52/p8ygWZd5U+93cu1sU0BQ4JOY4Qoj+jo6DTInWkFUkaS1ROr96WiFc1ZqQbnRU2nJQGJ+ZYGZ8gapegZQJGaRL1c4XOsGp+SKgrIUeDElkYUJmZLZdZ5QBkjrAq6yhtBfCQVsXIOhkJwS3nfSO5QJHSnIfqC06uvWAk37DEMqqR20bUfoPKUzGDWm8wVt42mahq7r8CRxWAnZQ0gkJ9kOMaGrCjeuGE/GOOdIGVY+mc1YLFfEGCmsonSGsrBUVucMIfanlR3CcJrD3fOhNvyPtd23U6jremjisK7AWIdCsWoa4ax3HZ0PRCN0rZgEikg5bfWdKHKaiWVUjbDacuvGISfzGbGVDkqtRciqbz5xzuUbGwhCRY3JELXIUqQEaI0tDFYp0AFnFCYJ554uUfgW6xTRQW0icVyJaFdKHC6W3Dw+oQ0RjKHzHuNs1i8xEivlwnZMWTuojzQSOKvZ3t7CWsVyuWQyKtnd2RGnpgyuLOm6RNN0lKOC4APXLl/n9u0F1o2ply3T0ZRHH32ET3jNJ3J86xqXn22kca2LqKgIXccTTzzBaDzlNa95Ldt7e9TNguOT28wWM+mWtA5TjfDaMmsWnCyXLNtGnJNyQ8OSBpSKBN8QvUZpK5mC8hSFKMqWZcl4PJKGt+gB0NZSUACa8WjESx55KS996aOcP3dA9ImycHjfEUJiNKrwXUfb1SxWNbP5nAsH+3mhr7dSNWytH8UF8mEc+r5jrvR8Wcg9Hks9DKKG+kocovCe9x8lQt+ETDa+1FD8Z9ggpcir6dVoUQptLCEJfTLGSNJRoBg2GDAJ6SFSKnf/euKQIa63sJDx/BATPkjQFbMIhjY6kxNygTrXCQqbgVWt6Zp2wP67rlt38G5UXZPquUbqVG97l5vUktaZyZRR9xTlTlaKmIQmHlLEd36oe7R1I7TzVS30cqUliC00JiVaoE0KUzLQrn30qCSOIkaRylFKejm0ghA9PgR82xC7Riip5YjpqGBrVFJai1V9hpCppwMISP687vfm+tja/ctczGboLKesjcUEKfJ0XUdIchlEhlZYKQYtkUK+CZq6BYTjr5LCahFiCyGyakQG15VF7jaMGy3p4ixEdkEazkIygnUqkXauRiXGOkgdGo+RxI1kgaYh2URTeJqqRO9NqS6eY2vnAH8852Y5YTXZpZovOTyaEzrBWpUPQ/NVIkrEkllPWmmcdTirWCyOede73kHbdChgezqh8xFXVlx64CG2t/e5ev06V65cpixsVqh01Kuaa1evcvvwNq94+cvY3tpiOtliMp6i0ig3JWmsEenu9773PRzPjtna3cHHwI1rV0QGeTTGVWMoRlx45CGqcyuuz5aE6zfxMVCMRhjAhCQRnnOQNClpnCsJKUmTmzMUhWV3d4v9g31iCizmM2KQ32klMsMPPfAQr37V4+zv70s2keDg3D77+7v4ENjd2adpW27cuM6yEVkAKcRLX8u9YaSPzmr5aAJTAyKs7njwHu9lHaVLLUBqX7kpLf9bAoncJKV64buUu9LleVqv+1MG6YvcGzNoS2mDFN6Ecx9iJAW/diD5GJv/DiEMWLvOBI4edxfmmSdmaZKkZT0XpaXrLF3XDdRlY0QlQG/CNBlZiFFozEqbXJPTA4TWf04BkWoJMdJ2kiEURQnG5OBFD4UUgZakFwitCZkFF71QqVVKFMbItqxU1mmCYjTCFwXBe/qekBgCTfAYkx1UiJI9+I62XtHphs63JMAS2BqJ6N/ezhYH21tMnMVmiEjnuofu3bDqXcJfHLtvp6CMZjQe5WarFt/VxCSYX0pCSTPGodAE7zHaEVOg6dohVfZdR7NcMU8K3wbatoOURddiQlvB8IuizE4ht4qTMhdaikpN8CRlshZPh+6g0hqVWkJoiZD1WAxmbLAOfAGrApaVZVmWHJw7z4W9CzQ75zHXD3E3b6HMDVbHS+rlgrZtpZs5KyGORxWjUUUClstl5j2vuHbtCuPxmJTg+GRG03rAoLRlOprw2k/4BB5+6GH+yDnqdkVZVcSk8D5Stx1Xnn2W/93WLBczDm9eRyHRV+sjxEDlNBBArbhy9TLPXvkAxjnwUnJcNi0pzLnwoCaYAopItb3F3vlzjHxAG4c2Ip3tipLxaARomjoQgvRHdCHmjMuxs7vFxUvnGI9HIiJ2MqPrAru7u2ht2NvbY2dnC5cZS10IpOgJvqWtG9LODtV4xHRri9g1dL7LEgmbd9NHc7v+SOz+lm7iXq7tNEiw/rfKhVOBYHwIWas/yzVoLb0HWg9S2H0NYjNTiL2qZ0o5WJHN1lqbO5rJjBeF1hZvoPGN0IhjGPoXLEJT7ZlI1liMNvJzz/UfvvL5ZoSgpysnJRpJcSSKwU0jDZLOGpzONZIUSYQhqNNaD70t0DfDbXQlJ/ApEUPKFFCBcZPOASBrdVMfAmgjHcwwOAPfdUI79V4kNUxucFNqkIWXeqDMFIiRXAvrnbKoL5h8/jFG6fq2Cqct1jmMtYzKgsIaJqOKrVFBoUATpJZAdggDuhUHB76+M9Rdj/15svt2ChcuXOLgYJ+joxNu3TrE64RvOunkU4ayrLDWZfy0yymWRCs+yM0flKJeraShJWuU94XnmCEjn2sJSmus1QPBQxHFu2sjGYs2Od1OtE2N7zyaDqc8Tkk3pXOG6WSLsRNMvXaGExRTBSOlGe0fcFBuo7cPqHYPGFUTTm7c5ub1ayxXEnFNxiN2drfZ2dtha2vKbDHnqac/wGo1o+0aQgzUy1V2CgtQws/umsBTTz5FYSumW9vsb+9xNNdMt7e5cP4Cbec5Ojrm1uFNrl1+jpQ8ZaEpnaGpO8FhQ2TFEkVkvFViO8uinoPWOO2olKPSBToZnvzAc1y+cZMuBBb1isn2DrtFiTJm6MTc3d5jurXFcr7i+GhO3XayNRgrcuIkdne22d/b4/z5cygiN27cYLlcsr21gzFWPoPQoSmkUKaFnNusFswXS6bLLfbPXeTcuQNWi5N89/QyAZtxodi9l8Z6ydzN4Tn1PzaqdT04sv5/urOSkTI//l5H3sDcNxZtv1nefYZrmGeQHhki7YyHh5C7bROLphVIJ8WBhaMGAbok2vwqdxtkmnVKQrNMOeL0Qf69OZFAMHAvfHfBBwX2yBTVNkvJ9zDPeDQC09eSGPoMQPoLvPdDRozWxKSHuoaCvF4l+i2MoXAG3yl81zIPHYSRQC9aD9k+9HM/skPIDi5mbEUBKcbBccY+41F6gJdQORtIMUtqMBSOUwgDC84ZhdNO+oNMIviQCSIqOyvpDyCzoHR/n1iBwLQWNlaug2O0RhstwWFR4qylcLmobAyFShhiVgLerCHksCFlptEd99yf58zhvp3CaDRGKUMIHpRGG/BhRUoi5aCNJkZPQlOWDqwM7/De0/kOclFYKU3biFy2QDWK0pYSlXhPCknwSmOGYpl43TTg+SkFrHGMCofvO21jg7Oa3a1tHIrKllRFyWjkSLGlTpHDpiOczOgmc8qLiWkwTHcPuPCSHV6WEtcuX+H42i1uXrvOe594L9dvXKUoLNPxhOl4Qte1HB8d0zbSQKa0JvlEFztZ6FHRBQ8kCmfoVi1PP/k029vbVOMR49GE8wfn+ZRP/hR2tnc4Oj7m9/7v7/Lud/0xIUaMtpRlxaiqmM8XHB8f09Q1KXYsVjPQUHcNaEVhSyZFxVY5JRZwe7UaeNxFWTAej4boTCGw0f7+PufPn+fKc9e4euUGTecpyoqt6YTp9hbH8xOObt8mBk9TLzg4OODcwR5xd1smsrmS2WzG/OQYZzWVq7DaMK5KRmVJvVphFRzs73Cwt8etG9eoCgcp0IsvM2y2z29po8v5+Z+3sazSqW95QfcQzN1P7c9FmsLypqTIUggMBeHeFwzH7fXx8zn2TZP9s2KINO2K4CWa7dpOMiUSPvYNagrnCoqyGKiaPVxEhpYkUcixdOqhksxe0Vq4/sNXRMf8PfXT9iSqN8ZAm2ibhrZtB52s0hX0W5fq6xdINhNyFiNQlNQjeiehCMTsvJzSGGeJZUloPau2oW08tUrEWGCdg+yIdKYkD9czF81RKjOJ5LV9CDKLIw9+EnUPuWe8F3HKoas5N7LFEETlIEZcZgTG5FERrNZEq0i5HwHW/RUqO4iUpNqWetE6IySaTLjDWoc2QvrolWSt1lgt/TlCEpaKiM7ZWgYW6fs91q14z3P//jmz+3YKR0fHHB+fcHR8LHKywGq1lIhHa1rf0guuXTjYp7Ij0SxfzQmhI/q8ALUmWtEXjyGhlSO00imrjUHZdapYFGbADkVLJGKsZVKWvOQlj/JJf+Wv0LQtb3/773J46wp7uyMeOH+ARWGixjctJ4sTlss5SgkV89q84ah12O0HeWx8nsde+jDTrSnaGs7v7NE9tGQ+mzGqCn73/y64efsGIQZmixmL1ZLj2QzvI9qIvHbwQoElZdVRD0pZkpchJdG3HN68TlKa7YMDXv2qV/PgxUuMRxXn9nYpLDSrGZcvPwckiqJgd3eX3T2R6L5+5QpNE4hNl6teEkGFAE0bMakleujSer6Cc5bZfJHHDVpSUhht8E3g1o1Drl65wZVr1+m8pxpPaNqOZV2zalacnBxz9cplrl69zKWLF7h44Ry+65hOJrz0JS/l3N4uh7duMzuC6tx5UInJqGRna8L85IjQtRQaKqepMpxA8pDMkFJvWnreXf9DL5q+iCnH6Q80bPMCUej1zt5D/j7LlPQFXHlYamUxZxdrFqlsuBKP9KyaTJFMwrSLuQbWdZ1kBqnXGsq1AKOlhqDA9JXLjfrB5vn3wU9iXU+T1wwD/t8/P8YoYzgBndYNbALRrN9XChHfdiJoFyI+Eya01qS8Wfpcf+glNkLwGc6SArBO+X5WAaMSZGp2aQ1d4fC+xYeO1TLQNi1VVUljWy+BMbw7qaGkJJCX8Dj6c4KkUn4fvXPWg9rv8Bn3maJ4Z+mr6WsyRnSgtFY5gBTmVw9bhbCuqeRUA4XOchQGbRTKyOCcPuPq1WPJdTGrhaelyI2b8mHRj9U8bUNq+hfG7tsp3Lh+CxTUbZMho1w8ki4VGVeZL2I/unIyHdGFKdoqurxo+ugmJhlbqQn4TonSaZ/aSdiGNjIFyvs6qwtCVRVcfOgS/89nfxqf87mv4/bt2ywXhzz5ZMAqwRMVgncv5isWsxWrRnSHPBE/azmprxH0e3CjA175qr+CswUQmY5HmGLMdDzmkUce4l1/Muby1ZYuBI6Oj1m1jcw/UIpqNGJra4/YBepVTdOJ1G7wCWcVXdOhomLkSo5nxxweHxOU4vKzz3Lr1k2KBy5htWFnZ4vdnS2e+UBL27VsTcfs7u6SSBydHGUWV5RN1VhizF2oRYnLejKNDzSdx+csxRpDbfUwcrFrPVpbbt86BhSLZU2XR3Eu6475YimTp0holUgEmnpJbFsWx0ekGDl3sMfOZMyFC5eoCkvoWoEttGIyGnHh3D6LkyN8s+QDT72PxcltDJHtC+dwes3EEFMb3++9YFSGhTY1aIaNc2Mj7b82bVMjZwCBMkY+zMjoj5NEQC6ERMpQSYzh1EYUYxicgvc+a20l4dWz7q7tYTrdM4ryaySEENE7adcLxpEyVHEa3uod250MpJTS0Gwoay6K5AJK+ncUmCQjXjSaqihRCPOvqRtiiLRNgzF2cArWWhIqQ1vShIgy63YI1ZNFc1d6Srn7OQEisbI1GaFI+LalbmrqWuioVTWi0OuZwJt1mJRTIN8FvO8GByjQkkjBiHqAgpQb9iJDYJFyIKZSwiqI2mCVwD1GC5U8RfmsYxRZcKUUKisMGG1yVthPRdNZW6p32ilD4RFnZMNPMeZpgtBL2KokWYDu8aY7M9y/WP4AeAFOYblaySIFQOVRlSZ3+YrUtFaSKp6cHNFkzZXxqKIaFfjgabsO30dSIdGsGrpWhmWrXFcIIWC1AwVNXWONJkSPzscrC8fWZIROgT/4/d/j2cvPsVzMGJUlt24ccuPKAoui0CW+8ZLKk4gBfK5rHC87nr12yPQ9T/DKV76Gv7r7GiDhg+fkaMZivqCuBfparVYoo2mDZ1W3ohKqFEU5kTkOEYIHohZcMxm6NuCcwnvPcrmUAqwP3Lpxk3e9611cvHCBrcmI8WjE0eFNbt28znx2QlHKAlouF3SxY9UsKMpCuNk+5elSCkVBwuGDNJgJi6tPySNe+YybKpyxtK3HuZJV6kRWPIv0uVIKjE3b0uYmo7IsKQpDaD2L2QzfrBiVBX57AjFRaMPe9g7HJ8cs5nO2JltMqpJHHnqIqihkatx0wv7uHkVhqKoSKQ3186TWTVof0jb2+rszgn5exFqN8tRzFaD1gPunmJk4eShSj2v7oUAZabs+c+ijzD5qT4OTIpGbyuT0+iLq+pyS4OQqi9DlyD0hZAlpiHRD8Gh0P91iHfmmBH496zJnJnGAYTZrNCFIyK37sasxovoCNhIRGy3SJr3cRX/d+kwpJIYMRJxBD6/011IiY2KUIncqRNUz7wXOWKqiYFRWNK3IwnddJzOjnV1/dpsfbRL2Yu8ExAn2GVbIcu2WoDTBB7ouEHN/gvytFIpTEK2zqiqpCodRihTCQHsdjuXs4AjWzCtAZZlx0baRTn6d4TwlNQGNTKQbiu0kApl+mq+pSupOd7DRuf4Xy+7bKWhr8F5kHiQqkgq7qARqvE8YA9Yq6sWciMaXBdpayqpEe7ngwea2yqSx2tKYDu8VSlmJVpTcoCEGrFUoa/JQ8o2hLynw9JPv4/B4zvHxCW1X0zRLTo6OSb7DKk0dWzQGlQQvbEPAawW2JMTEcllz7eoNrl69xie8+hUYlTDGEVLkfU+8l3e+4x0cHx+j0DR1Kw1FUcbwoTTzxYrQRUpX0LYdWlnapsvXReFVYDaXYnTMfH/vO2bHx7z993+P4Bv29ne4evUyzz37LCFG9vb2mU6nHB0dE1NHVRScO3eOk6MTlvMaH/L78HJ9VAwQQl6gmS7cg6FKoruui1miWyFD5NaQi++8FEcz3KC1pior9vd2cAaWixn1fIkOAdqOsXNURpM0nPiOm1eu4C4lRqMJ25Mx25OXyjQ+J3owRg3xJTn7HhYaZOT1+fAjddoRbGYJm4wcoVPenU1IE5TO8ET/XCne941VfdTfO5YugNZ22OT71+h/Vnkz7qGJmHphxt4pZLhIZVxaCRyhdY68TU8pTUO2nU/21PvsN0yhb2bl3RBRymDzyEfIDggvEErG+gdHqcXR9NfD9pi4tcM1HGCvDacjjiIXy3vIRiGKATFm2NfjUxo0lmKSxtKtrQl1K70B+o73RrojDMjOTystU8/y+WwiLSlC9NKD0LUtyiisWtdUEP8rSr7WMCqL3CmdoTEkU0hZzK6/tloL6jDoOaVEL7PR5649GUFlqEizIf+dkpBZWCudnnYI/SPPnwm/mPa8COw97H7O5v4LzcWYZbfEGEVRCPOkaVd52lMSKWcjyp2VG6OCl3mnOhE6mYJtcvQRguCApS0pJiMCmsWqoe5aibyUkhZ0dO5kli7DEAKFczR1zftvvY/5bCGwSZQpSODWGGwEqxPGCuuAkFAp9y8gQ3JuHd7kPe/5Ez75k17DuXP7aG0oRhNuHR3x7LPPsjiZgQ+YKItNRYXG0CWYzVcsTUNhnExco8N3MReMtQzjaMHj8yYhw0ZC1/Lcs89yfHzMaDImkjg8PAGVaFrPyWwm17sq2BpPYawpyxGX4zXq2YKoEl3boRRELxmBNdKuPAzKQQ8c9R6G6OOYtm3zAgyyIUcFVg94dGULHr70IJfO7XP18rNcvfwszgeam4dc/pP3oGZzrDXgO7asI86PUSqxPZmijMuMsH5zydEaazaRHhr+sw7PMLShL9z2d67OxUQBngelUGJuihQH4b0ffo4hCOMns35QRpxh7KNSP9QD4gZNU8JHjVKBRFbEVFoGsucemR7eGJyTkXtZacGjU0wbw1akgCrHzyKKzkqPTj5vk5k4KrOMQsgDcpRcE9vPQMjsmV5DKw4bUb62GbLu6eEoRCE0ivhc17bDJqlSpm8qn5GORPA+X/+18OGwcWSZbaXSmvCRRGesjSIr45DeG2c0qSjYnkyH+QWFK7DaEDufh99kTk7wsgWrngIrede6p00eC3T4TtF1PhehZcqgKCN7lAJnEqUzbI2rTJmVWQkxC1UaLTWFNMQfecNWcaD2Sj2w7ytIKLXuSu5HyvZyHAPwufG3G55v2C9PPfdeG+qfY7tvp2BNj4X2PxtMprf1Sp8pRcrKUZgKnSTdSzERfERrI8XR6Fk1LXXTorWlKCrR0QmBrhX6pEpQWEm1UxS2kysKjJHZzrcPb7NcLVnV0pNgbZEHXySRrqbL20eOLJXCFSWlKUEb2i7StDKk54//9E95+x+9g7/22Z/FZFQxmox5zWs/iaeeforjkxMKV9P5FUppXBbGssbS5WpZUppepTUiuG7I5TmBGfIGoxRO7lqZt3wyo246uug5OTkhKdn4ppMx29tbRO8JvkPloTbWOrR1mBBo2yan2uT5zCI1ItK+mraTDV/njcz7hFJhHSHmbnCdm3UI0thjk3zpzqPajjLBdlFysDXmYHtKlSL17UOqqpC6ylRjgwffibZMxqRTnkebiMQ8Dawv6kl0KMXPLnQDTCPd6nLtelEzYFDBBAYJBuHey6L3vockc60qxIGCKXTAXsVyDZcYIzexdNCbASJxVu6VofiseoVRM/zcY+9aayzriLvf6I0xw8bfH3/dMLY+dh8pi65QypVXidANkHTWRUqZy78R1eYLIxGwysKLWStInprlo7NEhLV2cAoprwe4uyazLtzH9XVS0gwgooeSHfU1gJA/Z5snnRmdr4E2ub6aZbXJHde9c+8zk+xAU59FKIEZB8vvo+/Ojl7ei9EanfQgoVdYg81zk1VmA/Wa1NLXkZlfKoMU9HBmjucVeQ0JQ2poPCO/73RnzL+R9Ww4stOmPshPL569kCzhfu3+nYI1GKsHr26daKXbQiZ8ee9pmpqmaUT8jkRVVkwmExSK1WpF23qscVjtMLrJXPwGlwzOwHjk8J3OnYo9thgxedHGlFitGkLo6EJH24kIm3j3vDgTkNZ668mDcdK9W462iMqQmpbQBdoQuHn7iCeefpq/+imfwmg8xmjDo489xmf9P3+N1armXct3Qdvi8vxVFUE7h44J3zWZupYXh5V0sy8GijopKOtQVlGWJVtb2wSg7ToWq5qjkxOUgRg8s+MTovc4Zwhty3K5RGvNeLrFZDJFm4LFckldN7kYp4nBIwNPzBB9xoyhR2TBZirHutCn+9GbsjkrDY5EZS3US64++X7q6xWV01za3uLczpTdnQnWWmJo8bU4oJOuxY1aujzWtCwr3GiMKfqpWGm9sMgLM8sUhBipVyvatqVtW3xWrSRneqlfrT2028NCKmc5cGqz7y2xEdVHZDvqN/dceO+hks3oP/WYgVanng9qkEIYOooVGGOJSq5zX2MzG9BMX2tYUzJPdyQzbPgbjmIAITI0ks9JZBYiMZLnhacshhfRA9U7HyFfi816i+mbxnImFpTOReUN6QzWdZneUSilstppdpAaBLGUAMP3UGXqWVJxuKabx+1rNyrpARa887XWn18fEKjhGvW4v9zG/fEl9LdaZngY1cvkyWbew1dpcDpqPbMi1wf6PUJerafMpnUywZ8VAPTny+7bKZRVQd0siRGKwlIUjhilELta5SgtRkL0FKMRVVmyu7PHdDrF565WazwxKEZlZDodU69q6rpBaUg+kAw4ZWi6PBQ8SBbS9yz094pAAIoUBYpomo6ed6zJDUFa5CFiymm9LRhv7bCzdyDO4MZNjo+PWXae3/2DP0QXJa942aPs72xxsLvDZGeX6e4e5XhKmSm4KiS60EJCtE40xBQIoRva8FV/SZP0XZCCdDlWBZPJhLIsZBodkh0VVlM39aAXlbynWawIxtI0bdZ4sky3S0bliLbu0MkMDlBnplXygY5+g8pYehCWTFFUaCXzluk3xpTwTYNRitI5ShKjFNnSMFWeSfLs2IrdyjC1Ct3W6OjwXUvddWhX0KWEni04OZqRrMUWFeOtKaPxCOsc4/GIoiyz+IssrxhB5W5UYqJrpYDvo3RfK63xMWSMXL5ynD5sliCQjFKZl59tM2qXCF8Pxcw1VMSp6H2oUfRRqu4VcNcF5K7rBucywEM6zzPu6w0mN1rq9eAW1X/laNlmpz0UwlUaMqV+I5PzWc8JWb+5jQ1qY6O2Jut+ZeudcMoU1WHTzZkGvSNlY0NU6tT12LyeUs2VHESuS26+Y61p1CHZvQhhZgdphPPfO9EQPUrZoQYzXPcYB7kPYYPFXOfKn68Id2G1RVuZOJhiJHqPIs8kz9nZMI9guL5qnR0NgUlfCci1gPx++8YzuYaqT2w/Lu3+h+xYJR5bkzm94IPccJtzhMui4uDcBXanEybjMTIDtR44y5GYB3s7RoXBT0aECPMl1KuWtguEAIUzopdjBJqRARkRF8260ESvLS9TzPpiVdQKk4AkolkmQqEsDz/yEj71Mz4LrOP3/+//5YknnmB2csyVm7f47f/vf/I7/+f/cOn8Pq96/HFKZ7l5dCRZQT92kCDy30RGZYUrJjRdzWy+zDoxcbgWQwGyv/l9oF4uhdZmnWjPa01ZFCgEBtFGEbrAarHEWpcZMYEY5nQenCuo61beV86krLUkHwgqDBh3r7nSMzBChotUko7bGAO+64i+w2rZWItkmGjDrjNMrWbbKvZKy5bVjGyiaVe09YIuSlYQWYF1tHFFUAt8AoxlNB6h8vyF6XTKaDweCs8xJpS2lNWYajzGaicaUkWC4Ae5B2ko6mmJOs+RzvBThlKGpqBcr9F9x2tW2JVCd9bx6Tt0WUepOjOEBshE9Rr+anA4/e9FewvEqclOYYbrnDcYLcNayOMve4fQZ2h9wnYnxVSyHnUqaxg2/rxp9zBg3xXcw1PO2uEzTXk+glZrGMjkzzrGvvMnZyHcCaetYZzNKB7W8Kv8myED7M+5d8Tk64xya1mLPDe8vw/TxnFPZSgb/5cnRsj7CYrcWGawzgzwmJDeBca2mUnUQz0MNZe0Pmx2ipo1hLS+Hmyoz6r1zPDNFKF3qnec9V9Gu2+nEDIHXgpSUVgbfZqPXDNjLFvTLR544EG2xhNC12aOdyLFQOO9sIeUzm35hqp0gBSom1HHbDYnRSnORiUfY5dlm0O+8VUS9pM2vR6JQ9rgPdFLLBDzzdEP9A4xcXD+PH/1k/8qrhxRjMa8+hM+kT9597t45zv+iPmqZracs1jMuHV4yHhUMTs6xmhNWY1p2walNVUGPyeTEWVVEmc+Y+eBvtGGlNCuGGowCkm554sZdV1TjkYo64T22nliZsSkCHXnxXGYTMNL0DaBrosU1UjUKjGkGHJPhAbikAWQEm2WrzDWMSqrLC0sU9iMFqFCTWRUWEqjmFrNTmk4GJfsV46RSeyUhgvbE3Z3tuiixxBY1V4yMms5mi9pQk0TE9gCZUuhuCah6gXvmZ2csFzMcK7MxXBRuizKJeOtLUajKRiLs04cgtEoaymQMadGryN21a9k099vecPUGxt70MLGypurTtJspPKoRXEOvQjcOkIm39k6xTx1j42NcRPSWdc6QNgoKd/8feEUNqGn4S+RTTRu9D+sXyelDYglR/IqF3xjfo8WBjydPrJPUkCXgUiI5LNew2qSyKicHSipz5An7bF2lv017jf4zQxC5X6Kzfc+OBB6J7sp1LeW2NB2DZ2l1FcLTmcjADrDSiAzFVS/MecMR5xgWr8fYzKZQ5yCJgc8cvT1sU4VfvuGwAEdGj6bNUx0l3ti/a4+fuy+nYLPLIU1/ifFW1+vZMNyjvF4i8l0h14QrhoX1MsFoKiq0UAXU4DKBSTB3yPWJNykZDQqmUwnLOuOZd1Sty0+Cj6vcxSlkfnPRmdYyQt9NYVMRUvC2CgKN9AGfQycnMxYzOccjKd8wqtfLYN0Sse73/0ulssFRM88dKyWC6bTKc4YWi8NSRgNeSqc1uByl6NW5I0/gcoMkiTps3UaZyzEiO86gvcURaD1LW2ImTmic3Fd/iaEQFc3dFqUKZUW2p/Q8xLWOJJRJCsbXuziAFv086lBMiSdF/Kw7cUgGu8q4nRkZA1bZcHBeMS56ZixUVSqY6twbFeOcaFQocVoGFUVMSVuHp0wWzXMW0/UDl1UmKKi6KP/whLpcgYnxcEuBNokhAClDbXPGxYaXY0xTqjLKJBJPkZkElgvUGFWQdSnI9nN6NbavoM7O4we/mCNq/ebnrV33PoKVFrrAJ1+jXWWofMQmb7wao0QAULONoaIlTg4CfnbdSdxXwjuncFwCkNmIteuf11rNGVZbFBGZdPs54MblVk8G3UFeV5PwcysKS1Ty9o8D2QosnPayfa27gGRgnMcWELrrVIZLbWC/LeDHpQC6DvB8zmpHrfvaz5RHJnKGUG+drp/PynI6NuUBgaWBEQxIw8CI6b8X0Bmovef3Ob3Pp5YZwibz1g/726HcPe//7LbfTuFzaKV7rsFg3ylqCiKMaNqCklzMhf4o3CWNiseSo+DLFwFhM4T2zazReTmwAjLaWs6YbolEty3Do+IR7fp2uzVk9DMlBXVVJSSxrjgBzqqRDJShBtVYzrv0RqeffYZ/ttv/iZ/7XM+l5e//OXUTcNqscDZXoFF7uCYEvWqptMGhTRsdV0HIQAxF3g7FJbRqGInbjNfLFmuVrlpx+VIPgiMRco3cs5d+pS9L5KAiI+FgDM2NzQpYq/ZnyTT0N6LNkxKGU6RNpoQPCr2OjXkNn2hCnZtDTHidJ5clyImBZxW7JQFe9MRe5OKLWeodGJsFaXTOAsJT9NFyumEVd1yMl8wmy+Ztx2dMowmE2w1RrsKV1WU4wnFqMA62bS6pqFdLYUeSqINjWwwRuY8K6MptaZ0Nmd7SthWag2n9PGbSmqA2FX/vyHMWxdaN56Rs1F9auPbrC30j/W/N+aOvush4lfDRt4/nvrMI22c4/DKufYR+/OUTFVtvGaMWZYkrl9P54E4m689YNs9BKSE2o1igz66udVljFwJlLiOtOVASiusFXG9PtArimKdXQzPzQ5igLX0sK56eHR4rlLr+mzu9EUxnP+QgQy1i/769jTVdXaiFSSdg4AM4cU8aGJgK6k1c6wX2du0e6E//Yv21+uu2P8OtGl9pI377ePENdx/R/NiCUoEokgDS1CKTsqgtcX7yHIx4/h4xnK5ZDQqScFD9DSrhTSYFGzooSiBTlJHUZQopWm6gNbSoWiLkvFoTFkW3Lh5nbpuhIesDRFZVDrrpLSdl0HcSlGWDmtHbG1vcXD+AOccJ4sFq9Wc977nTxhPxuzsbDMej9jd2eKBC+dp5id0rWQFoe1khCgaUqRzJqsgRqxRuCxn3fka6wr2drZlToECpRqUkgjMdx0mRaEEGoMrJAJWxmBTv9lIIVOGr0sa75zIWGhtWdUtdZ4iBVq6qGFY6ClnGynr+UioKkqPRkGKScS7UoDoccYxKTVbhWNrVDAtFCMCJTAyhqqwVCOHq5w0/cWOWzducDhbsFg1tEERjaMYT0i2IGqLcSXb+/scnD/PaDJmNKlwxrI4Oebqs89y+8YNKaTHPEzJCI6OUiTrcNUIVzj6lZlyLUmGqeiBAQP9TIZ+jd/57x7i6G9OMksnPzIgbKlH2tjcCcwG1LEJAw2b+EZtIh9uwPEZomCGesAmDz7dwcbp5eJPuRKlUL1eks5smgz/BCTz6RlOikztzZ3apLh2CYqNa8E6W9g4vTtZUZvfT2VJ+dj5rcp10X3Gv7lJ9thSLprrNRlAMgZ9iu4LWV5CZ1p1zmz6TV/E6aQmkZBaTq+gHFPvINVGprAZJ2z+lE9r40zZvEdO2caz0nqd3eOP73zwL5Xdv1NY1hRFgdGJxndDDcH7SIrQNp4YliyXK5SWjsqtMJFJaAqMdbjCQoY5CElmCtQNrlyfhnMG0PiuRRtDWRjO7e+iCNy8dZNm1Ui0bKSQmEi0vhMNFO1EQdQZnLNUpWVnW8TumtCyM9pia/eAxeyEZ595mlc//iouHuxz6dw+xzevUa9EjruOiaauc+KQCF60ZQqzbv8PsSN0Aac05WjElp2CUhTFKrfki+cU/rrGFQ7tpPi4xjNFI6cLkdB1FM7iY0KHwNjaoaiYgjD0dUwiSJbn7obQSeSHEdw/9ynIjhdl0h3C5LAqUijYGjkOJiO2nKYyGkugIDEpLKVTlKWhqAo8idnJEcfzOSeLhjqAciWuHGOKCjua0CVD4wNF6CgnEw4uXqAcjWRRp8TuuZK27bh54wZt20pR0Ogc8ct4xuA7lBJVWaUMylqyp0M2Zt1Tzuk38AGl34hWNyP+TcZN2sDs1wXGHiq5I57UOgsvwqZTOBU5b7xeVOJl+s1O5dcm4+39/SO2lnO4U2ZiwE5YZzMDYyjSd/nRs5T6M9ZK4VOmxfavsznVLD8mPQF9hkNuONXDeYSNOszmOfRZQMoDrqR/QY6jN+sIaeP6R6kxbDqFPkvZ6EBY1zNUr5S64eCzo7VKCZyI6EBGnwgpQFSn5k9sCkyspSXWDZt3WiLdY0u/1yZ/Lwdw5hQGk+gmbkhd5HQU0T9KCbR2FEVCu6x+SM+ZD1TOEUKiWdW0TYOvW7qmxfuOUXIUlRMp3lamHjnnhCUTA0Vh2N/bQau0lq6OEv2ElNlMhRt0W2LweAL1ynAyO8qsEssDD1zg/MUHmS9qjm8fcnz7FrduXOPo1i0MsLsjk89msznPti2rVY1O0udgjcYaJSl+7uqUBqpaMhRTZFZWricYnRuvZJiKydhpiGGg7jF0eEsXrUgWQ1Ay/lTngUX9JhNDwFidI+7MgDGWQIdRBtSaVZJIogGjJCouS8PuuOJgZ8L+qKRKAR07bIqUWmFUpHQlRWlpfcvsZMnh7IR5XdNFSzmayvAjI45rNl+waAJdjIzGE84/sMJHKJTBI3CghcwsWxKahkk1kk2fPnIWDXprZA42uTgpG/9adkD3G6ZiA2pYL871/bgRK+Zfb6prbkpW3HV/93+pTmcLp7OR9d6LkkL2WlZ6wwHkzVtOs1f/7PH1lH2e2tj8N51Hf95xAyZTGxDQGh7pP/8ubfRqqA1H0z97oNPk41q7TqY2nOm9GEgqv9ehmtdPIxwO31/v9TGkd6JnNZkM/6TBsQ2XKeaJBvmNqo3nrJlYfTe7kuQyZyr5soj2mt78YF5sO5X+Pc9zNh//s3EW6/vwxXdT9+0UutbTZbmKsiwR3fJE23V0XcdoOmFnb5vxeAIqUjcLnNMkH/BNSxugXq5YLJa07YrQtigiRWEoVUGb4ZFRWQomDwSiOB0ShVWc291mdzrm6PYRh0fHdKmTi2EUyvaQCsTkISiaZsWN61fBaLa393DWYEkc37zO9Wc+wLt+/3e5df0aoW3YzwO69w522Z2MqOcnHKdEWZaMxgXOCkfbty1JRaw20tFppNPaWCNqq2lJCAmbOdpd9HShxaeIU2TcX9hRWpmMDyt6yqa1FpShbTNc1IuQhURI3YBnByW0XqOl9qBV37gmuu5WkBcqrZlYOKgcB9OKndJS4VFdgyZRVQVb0zFlURC15mTVcjSbc+tkRh0SpqwoxtvY6TadVhzPa46XK04WNR5FUY7YtyVRWRJGiuNKnOLx7Vs89fTTXL9+SzLGPHdDKYVzItNhjKEsS5xzUihnM/rrN+Q+le83Psmw1B1rUVxCTxXNQYnayCDMWv+mh44E6ZHXimpj481RfW/y80Z9Iv+1yiwfwVSzDpOKeXwlubSQhhqE2LoHon8sI049PC8/BMmMYuiloUXgrR8bqZV0paeoidn5S/9EpskqlYf6xLzZZifgPTIpUeeOd79xXfLzWDd4CSXW5g26F6Yjf8lo1x6WSwL49+yLoQ4ivRo95LbOCELyG1e5d35SLk7SijxsgCo7St3DWIOT1evofzNgUPfeJj9YTnD3s9aBxsaNcMdfxPXvh4OrU09J9z6V57W1+z/9skPTHap3o6edQop3PrL+932ewwtyCkopokvEKDCPRHvSsNa0NVFFqukI4RhHutWKdrnEty3LLtA0HbPlEh8ajI6o1JKUofQlzhc4E6kKR1k6aQbSmlXb0TYdzoBSFl1anNkhKc/RfEEXE52PNF1DWZYYY/BtEPXSFloVCAjP/frlK9y+cYvrV68TOynOdqsFRkVUPWNnZwfaCZOi4NzWlEopptMxo7HDOVBahn1YYzHGUseELSuUsqSouX08Y7Xs6NoF3ufGtizy1aZIU7cobTLzJdNmVT+AXGoPSYlqpWwkedJUENmKfqgHKjcL+kTUWU5CiUNAIZBRCJjQMSos5ycTLu2OmbiE6ZaoGCmMwVlD4SxJG5adZ7aYMa8989rT4SjGU6rtfYI13G4js+WSw6Njlm1L6wPFeMz+3j4ve+yVvPTRlzOeTOlj/NAJbHT58mWapqMlMR55jPESPcdEUZYobTA5COhhhl436IOZeZ6bfHMx9TTFzYUa9SbU1OPRmxDOGpI65RSGzSn/rZKsQjqFIyn5/B76EbVBNnEkWyatnZPO5xDiGqpKG2eitYa4lt723kOMApkGJWuhH6GJiFCCSM1oTiP9IQLaSHBBEt2qnIXpDA9FJdL2g7PM0dVaAoSM3PVbkdQCFRplNf1vBqKDYpi42De6qUyQIOtQ9Z81arPoK9mIoBJyrU0ezKU3YMCoDSnJ2Eyl9Abc2G+X/Sb9PPfQPe+tTUWp/hG18bvE+uIMdwW92z/9N3rjXlJ3AGcfwu5KOtZOSG4/k99hf2ydEcaUL2cP4fVvs3fO928viJJqrB2GiUgULHOWjTEQE0eHt2mbBmIk+Ba6jq5eZXE7w6puWbXSwaycMAxaH2jaDmdbxkVJ4ayMDNQJnyJ1G+h8i1NWKJveU5UF588dYIuSo9kCHxuCCLTQ68F3vssTmDrKqmK1WvG+975PVBlRTKoRVguttFmtqBeiNdSFQFlVBF8zHjnGY4exEfAYA7t72zz04CMU5Yh53aFdRYyaWzePOLx9Ir0JxuBbkaL2MWKsFNU672XEaL6xeuG2Pl0WKQBgoxCf8g2vtdBbVY68AFKKJJ8IKVJMKrxvZYypUpiYGFvH9rhib2vKuDAov8IQqKzDGZeL+4rFoma2qpkta2qfUG7EaHuPYrJDmxTH8yXXD29zMp/L+ykKqsmUg4PzPP74q3nta1/L3t4eKSFCbjGyWi45vHXI8dEJbdsyKku6ztPqFhAHNlE7jMcTnHMbsEDPKH9+u9+gK6FOrf9+04Z1RhBZQz19tiXXdhOeUlmbClJUWSJCDtZrMCnIss55U0uJGO987dOfaQ/X9IXyvniaT1Do1GnthGIIhKDxXoHd6OBVmRrdn8fwmklGbypp8JNzMCiVnTC5uTNoPNl55ZPtaa/9nievIfWxpAWukw5kCVB6GKwvaA8qqaw7l/tGv/769jWewTklgTzJrzPsbHqt69Rfc+89GJPrFnnTU6yvwEcBxdnUQ918gV5hlY1HPqhT+pCWXyffsGl4bN2R3c97C6m/pgLX9pTcDxVUfTB7ATUFSXV9iJhcnPJNg0lCI9UpsTg+oZ7PcdagCKTOk4LPolZeWDT5xulCoDBG5IFN393rBuaRtpq6a6lClOJyksJTTJG27fCtZ39vj72D8zx3/QaHxzOS6nWHICmNj1HEsvL0sdVS6JHjsmJaVVw4f462GXN4PbJazlkulwSVKFYlMcoUtLZNKO8xVgaYj7yhLGH/YMo5N2Y03eP20Zzbt4/ougbvG/qCXL5yxAAxdaBE8M/nYUPCKMrNSVrjfYDMcukHgfTFxaFLltP4s7WWQqshzrFak0KgSIndyZQLO1O2xyMKHSBoLClnOo4QoV22LOuaedvhkyLZAjvawoy2WLSBazdvc2t+wslyIfMARhXFaMzewTle8crHeeXjr+Tg3EHuPBfYJEWo65br128xny9QkTzYRdF2gaoqKasRo9GE8WSCy70Fp5qH0sYG+WJaytFcPvTQn5ujqtPYvhru++GRXByVAnM+z56Gybqmo5UaJpf19Tg2N48NDF42sc04VTZck6M8m3s4eimXvjCMzpIuGTpS99ieTFIDuUE24Y2IO2eyMYjiqOk7j8nbUqaeSvDU34dynYYGvByjGNTQwd0P79FDzUwyhr6B7VT9g3UDIDBIXPfUYZFs6dla4oAHgTwtci4pBlJWOUWvr+kLvXs2C9M9XXzdCd47hbXTlq07nvrtvYCbD8/6yK//MTuFBIG1cKSPCZ+kPyMqKPOAofWbeCE5gtgLkLmQZqKUTjcCxRCG9CRE8fKuKolILUEjaXLTRplOZgwqgLaWalIyKjTOyuVMSYZzAIO8waisCFNPaDw6QtKaxbJmsVgx0Ya98zu8cmuLZ65c5fLV66wa4cIbLTRZpSH4zAYKENqOVYjUVTU0zySyvr1OxOAJXm76oBXBJ7QN6BgIeJaLY24dXqUoDOce2MY5w/HxITduXqNulvjc7JWslssbFTF6fI8P43PDjiwSwYAl6jN6zeiIIZJCGq4FZEgpz8/tu0ZJSBTWJZwCq4R1MSkL9iYjtsoCl3sTrDUyW1cbfIC6qVk1DcuuxWOIxmDLCRQTbp4suX54zPFsSUOgTTJMRRcl27t7vOQlL+U1n/AaLl28gMpwltHSNet94PDwiKtXrlMvW8ZlSYxZ98g5YlKECGU1kmwlR6w9pDAUGj+MG3rTNhdp/7M81m9+awG1hGzZsQ87Faej+AFvz5BI30kN9KHqXUXb/DmGrBZ8CnjInmg9i2HjPDc2eG2EaSfdxQzXJ4mIVIY1GN6RUv2GzvDudX6vKUmkGaIn5Ghb1nAfkPfvkwHeMloPYoF9pqAUqL4rOl8PkbNOp6Cynr2kjYK0Zl1FNovhp7uoB4HCtK739OjEuvGvp8jK65k+A8uHXItcvJCtue+3vtskWVrj94ms+prvGpHX6Bsa1/fTZl3shZm64zuDQ/Uo2hDpogzd8jF/TiiizTCd7nV94XTh7f7s/mUuEL2YlCMqayzOWuqmposeQiCFQFCgos/NWx1aiUZSGxIhqhxl7nPp4gF7OxPq+TEnt68ynx+jose3jXDWlaIJMinMIPlxyno9vmkJbScD5IuCcw88xEsffgSlLdeu3WS5qoWdZATHjJ1kD1ZZTFlQlRVGaZ577lli1xJih/ceaxSh8Xif8F2gcS0pVbgi0poO5xSNabh+/RopKo7mHbNV4P1PPM2Vqzc4OVnStRHjSlk4GkySuU29dHWIaYiCRdNHMNaQM64+9dNKS9agGGCGrutkMl1P06MvzIHWkcIobILpuOLc9hbntrcYWQVdQ2hbaRZ2Mkf6aDZnWbcCG2gNZYUdT/HKcetozo1joaJGpUjOYquSyXTMpUsXeOUrHuMTXvNqHnrgElVRiFNCEX0k+sDtwyOeeO/7uX3rNjGKUFo/5L6XHCmrEds7e7k/od98+w31Rcr+1b3jxbWzWDsH+SlHrnd6k7ucU6aXJj045ihRkUTM6IERlIaNY818WsNHG/MZhi1E0Z+ANGhpXFlIEJaLvDLqb70p5hm2p95r3iZPnb04kPxKUdZrSmDshlRIVhiOKU8WQyDBYWC90aQ8dEaQbJuF2/OGn+9T37RgI8rI8KcYRcajbbt1JpwDm3UviDiqzSL8ECTFSMpyLn1gCiJlrm2Ps2/QUPNl+cjuozV5NSEQW58thOETiwzzmodM7fnpsB/+mfS0XS2wug8EIGmb62TymTgl56bZvMNfmL0gSmqMCu9jhmgKqqIkdgLtOKOJRHzoSDICAYKXSWERgjIU1ZgLFy/wkpc+ysMPXUDjeebJucyP7ToZfZkgXZVxhMWowjmLMwbagOk3+BAorMUWBSkE6uWCyXSHl7/kJZSu5LnLVzmZL6R3wRoMMs5SbnDh/vuuxebUXMVE2zS0EbRKBCPvs/MCA5VRY2wgJckmTo5XdN0NwpUjDk9W3D48ZrGsaZsgTIwUZMNISVJkBfgEbt0gFYNARSJtIdOlVAnOOplVkTXpY4ykfrRgLxKWYQqUpjAWqxUm1OgYKcuC3VHF7njEyCp0lFqIUY7oWxZdTV17TpYdXYjosgLjMMWIoBw3ZwuuHZ6waiNRSxE6AaPRmIPzF3nsscd41ase5+GHHqJ0VhxCxoKD9yyXKz7w1NO8/4n3E7qQ5wtoFIYQJIsYjUfs7e8z3dnG9NCROl1P6CPgj8xO7+73Otwai+6jwHW0v773152+A2V143Gy417XA9LgLGT6mkYk3HroZHNwfP6TXDCVucsxaw6JGa0HOY0YJCOPIQ5NfVGDMv3rZ9ei1m8s518yMlIprMgCoMh0UbV2BCh5Xs8S00pjdV9PUKjBISRkJkGGsNBErfEp0CE1yK7rMNahtcyB9t5n0UJpyuu7lrUxa+w8O0yZTb6WSBd2Xsjy3JIhxRQhGcnCNcMwJ5GL38hY5CDDtbgblly7TZXIkwz7TodEUpaotETmSWjOIgEv6jf6FIRHdrybQt3Pfy/fif2nje+9uN9aSDCHLdqQCPjcsNhPTowgn6VShBRE+TWz4F6Ic7j/cZxaD40uXdfRNg2F0UxGEwonA2h819LWtTAwksxGJka00hTjEfuXHuCRRx/lgYcfYmd7wmpxBAqqUYUbFxil6dqO6zdvEYHRdCIbZIrYpNidTDHWMBlNUMZiikLEsVKE0FEax8MPXGJUljzz3GXmsznRywKKuU/AlCLFbJV41370Z0K0ZArriFETo9D/5vOWuk1oHShKTVEErOvQtxsChmXTsVrVdK3MntZGproZY/MaFcEya6QxLuUboW84UmTpj7SOahXrIl8voNAXIYfNs+9izUNaCq0ZWcvedMq5nS22RgWFkrqFFLxTXpSe2aql7hRYi7MFxXRKHeD27SNuzZcsW080DuMc1hVU0xEPPfQQj738UV71+Mt5+KEHGJdFXhjS6Ne1AR88zz17hT/9k/cwn83pcUVptIuEmKisYzSesHOwL8KAufh4KqL/YM7gBYU+95m+D8Flj8NsOJJ7nEuur+bFnmlJ2bH10IbOQnIhY+/rofTraHyAgpI0Z8mx19AUCDTYY+n9/SAQi3TzG6DvHTj1Psj30XAVsjxEhpCs0ZnOLNlDiJFAXwRHIAgtz9Ebd+GaJqHWG3MfTefXN1rT9RmDjxgb0cYOdQKh7MqwJBWFdWesiFv285036zhD8SK/Xk/jThvvdQ3xaZI2Mj50qF2s6ZsxM99U78jz4bXaAJxUL62nRJAyJuaNkDFWnQhXaqVw1jAqLNYoCguVs2D0qSj9w8kY7uRjMTgpKc4rrWXyn+8dowKVMGmdUaR8Fj1sSIbj3L3bdE7ZC5i8VhBVoBfZ6toWjM4T0gom44oYSkJViBZR21Jawbc8itH2HhcefICD8/uMRyVKiaLj1taYwp7HiSfh8NYh8+UxSSvCYkmMCZMiE1swLUaMRhW7u2NcWcjoxZRwxqBDh/cdW9Ntth9+EB0jl7nKarGi9a1EOkDyHlsWGA1dlqb20ctCcQXaFgSf2SNJNrOu8WgdaUPCNC0kT4o1USmatqMLwvu2tgByYS5vCmrQl5eJb9DjpsgksZSn2PULMkRsYYb5Bz2m6/PNHDIkobKT6wuBJnm2RxXnd7fZ35qKQ2gb2q6lqRs6H+hCIJJY+kgwDltWMBqzCnDl8Da3TmY0AbQtsdYyGo+Zbm2xf26fx172Ml720ke4cO6AaVVKjcV3NE3HarmiawOHt2/zx+94B1eeew7fdTmSstnheka6ZDSZsHfugP1z5zCFk2JmvxerHOB98BXzImFL9zpMv33mBZh7Sta4f15mqZduCLlLMwyLru9E7rdRRYZilMnZwXp+wPos0nrjz7buMu5nZ+SNRkuEr3SeI5ASAS9jD0hyLwzuoD/ne79vcTDyk9BPNXl+Ef2woX7d9BucuuNIvexIyBH25mYbgkjWWMXQaBo2+jU2u6g365TiTKR3YhgQhIj5pRhQOuXzlUw6KiPFViVTEUIkB6NJ1k/vLNO627r/ua8T+RTk80wMNYoQEk2IzOqWWydLjlcNXUyAprSG7ckYlMJGiEkmMtr+Yr246NFwwN4hC7Qojl5k+wPRGClAI8BeXwIXSvCdZOXnt/t2Cv1tAfJht0kay4yBzne0nXT8YqTYaK2hGFcUVUVEMd47YDIdozWEkDF8q9nd3eY4tTgt8sjFogYzo+06CDKfwCQoSqF0liFhSpsLyVqUH10/9zfSreYo49jbnqLSBY6O5hwfn9A1LcRA9J5mVZPKQvoDYhDBPGNwpbCOQh70Qb6BlNGonjnk1UA4ifl5koaD9wmnE0Up8h8hc7kF+5WRpDGzKMgflsnd2ylTU0mimWSNTJMiOwVhr+RNR6vh0zC5UWy7HHN+b5eDnS3GhcXXK5rVQrrHQ6DuPMu2E046GlVY3KiijoGbx7e5PV/QpYSyDleVjMZj9vb3OHfugIceeohHHnqAc7s7TMoSHSNts6Kta1armuAjs5MFT7//KZ59+hm89+IUlLBVfNdRjCuMMUy3p5w7f45qNNpYPDk67SOhe4Xnp5bFfXqFzcNspNB3PLx+7A6Hsy4cp1OP5fhr/XOOxDZfN/WdzGm98Sl1eirZgOMP/86bXAzSl5Cnqq27jNk4jsqOJkfQ9E1wGUbIEfXdxVaJIQU2U4Mj66EibYfAFACjNpzBJhzTO57szY0S/9i/2lrGgyET6GqZtBdzM4PpC9k9fJivR98f0ZNOikJk6El+LRMOoISRFxKCCChFUBGVBOc3SkQxhSmVhSxj7+xjvk+9rOMoYpfOWEZllQdRKZZ1x9HxgpNlTdAO5SwxQpciURswlpQH8KYhe/kIYheVBrhps0LUu3nJAVQOpOIwdxuS7FPDp9zLh6zVdiFh7+OkXoBTECxNG6HX9UJrbZfQOoHylM7Ri1ppYwcGkS1KxuOKclSigKatRTcIj3Q1FxitaWsZyxiSYtV0FGVJTApntETxOZKo6wYfOorSoTHErhukg31sSWgKV3Jub4ftyTZXrOPW9RsyoAbBv5vVKkfggc5HtI0YZ/EhSDdqpoD2evQJMqQE0kAiongmi3Z10WesUa5T23XEJJOhYt401h6bzLaRj7trW3EQ+XpJs5LMZNBkqZC8cJxzWG1IXViLpynY29lif2eb8ahAdR2ha/FdS9O2hKRoE7RJY4sK4xzl1oSkLVevX2e2WOGVRlmDKQom2xMO9g+4dOkS58+d5/y5A/a2pkxGFbFpODy6JQKHriCFSL2sefrJp3jm6Q9Q1/XAWun7Sigdk8mYydaE8+cP2DvYx9geL9nYdHtc5kXKBF6YpVN7+3qzzr879fiaHaMU8gHENSQov88duWQe/dCwtWlKFG43MGOB3DKenhQmSjDSR90pRVKUmRueLrN5AknJhlYVBTqLRK9ZOBuvqEAN8JU8K2bGzAbWNDjRnlkjT76zSWtt/QjYLvlBfXUd5SuZ0NZJnaHdyAQKJxMJh8lveY2QkMmD3lMUBaOqyhG+IASdTwQfaFpP0zR0TTM0eWYGP0ZlgcvcmFcUxSCZnlKibduB1SRzrBWpgKJImQ4sfQBtzGwfpYhR9iDrHBiHshajDNbpYRyukEY/POtDDkVGhUBqQf1nQV/ETkMhXaskvUlaZxaU2vj8bY/i3lUrez67f6cgYQyRSAoBrSKtEWaJc4q6jbS+o3Q2yzeI5+xixKTIql6R5nParkMZhdOJyiZSkA8mKM3t4xMOj2a0XQJlyQ4QrQ2uKEQ5VCmapqbzin5eNCqhTJ7U5gq0toS2pqjGTHa3iQG6VY3valJMeYMXXaWcaeI7T1gsZYqXFQeUEnQ5gpDLqoUFlWx2DJCil4f1eiJc1/mhEByjz12eOQo6hRdLZhAyzTTlgqLUGNQgNxyImfqXI0lE4sAaw6gsmJaO/Z0dtiZjDLCqa+pa5mWv6oY2JFo0ypaUkymUjk7D7aPbzFdLlLOMqxHKFhTVmIODc1y8eJFz++eZjCdUpSMFz2o+53g5o1nNqZxDlZHVsua5Zy/z3Ac+QL1cDlOwQtZxmowqxuMxo+mEcxcucOHiRapRxbqTdSMKv+P7C/YN97zn012/GzbKvBMOvxqKk7nO0UevPf0z3Xmu6+Jiz78/pW1EXzxOwwyATesx9pTWKqxS+5LfC1000nXiOKQbOZEyXGVy0NI0HlRCY0gxZ5cp5GDmTrfQO901BdNsbDVr5lc+id45kgSb34D6yFlJigEfIl0uJNNnB1n7KKVI28ro3sVqRZvXh1YaZ0sJ+LSj60Lu4/EsFiuWi5UEQrakKivKou/XkL6f5WrF0dExs9mCerkUuNUonDGUVlMWmqoqh89FJvmt5T2cK7Iz0kNhX1vp4VHa4GOkC3k0rBEJF2kQtxSlk7noxmC1orA5gPwIHMJdn1FiY430NQJx1UabnDPk+oY2uH78KkhzW5J70vsgjjh4HtjZ+ZCvfv9OIXhh1YQeO4nSfGVgVTfDrNQYQduEsY4uJmwEGyLdfEHdeWxRCF/eKlpnKZ3BmJKu7QjREDDUXcIHDTF7PmupXEnpSoyKolAaPG2dCX/GSlONVoTQorWnKB2pq+lQjCeO6XbF4TH43FgWIiRjZTHmADUGjTElUfrMGPjg2efK2EfR+48RktIkpQecVCkt1f4ISknWIdiwLGaleq64LEi5qURWO3gpdktEKBlDGwIpeJIR4TOrRVIheoHUnFKMVODC9i7nt7eYFo62bWjbjlXTsWoiTUis2hY7mlCOCorKogrHyfEhi/kRVemoJtuUownGVWzv7bN/cJ6d7d1BZ3+1mrE4uYVKCROCsMFGI+qTJdevX+fy5SvU8xmEIMyW7ES1TlTjiq3dLbZ2tnjgoQfZ2d9DG7txs/dRDQMuL79awy79RDKdJdOBXNSVDUJnBFVeWjZMpY0wUqKHHjvPniClkBu61LDQpFwq110Cn7ThNPJsZbWmXqaYBxol+fs+M5A9NNd6lGDNOmm6TKkMedCOAqnL9W83pQEijCnPEMhQST+Zr9eAMpke2g+sd4WVCWxKoXVfYxB5l/6eEbVZeW/yXnvSwtpOO2F5rb7kOvxWkRmzObAh5cYxcNqgQh6dm52gsVZmcicNaslq1dB2nqoSaNmNC3zydHUnGXcmsayaFSGIWkLKhQ7p4M3rLinatmO5XMqc+LqWiF9rgrHEqEnKoI3LXc8G7xOJQFFIrUvnmSMhCLTrjJV5DkmhjCb4Dh9alEqU1mCUQTknQ49MorRQqERpwKkk8voqDvdKyl5WKNt9cCIoRE+3Xbvr9b9VWisaSA1R9hmfhAwckWug5E4T6F0pfBTF5TpC27Q0TUPdNDRNR9M21HXNA/+/v8KHsvtvXtPCQYe8GBRSHNNaOozzhDJjLdomlEvYYLEh4WKksF449l2TKXaa1jnKomBve4vxuKLxGmPnKNORQktKUsgqbcHB3gEPP3CRlDoOj25yfHzMarXE2pLSlPhObhzh9ScZ6alb6jAjKIMPDdW4ItYtdVPjk8ZoJ0qLKuUIwuZhPoI79rTCPiIi9nIHErWH5FFG6icJM6jIykqSRSM3nh6081WertZPkhIfkrJEiUyj6rpuSL21tQS0SGqnrFlkwKXAxBrOb095YG+LQiV827BaLFkslswXK5ZNy7KRXgOrNePpmGpUsQodVsPOzpRiNGE03WE02aGoJkymOxTliBgCtw9v432H0R6nEoUxjF2JRTO7echqseD4+JjZbCY6Prm457ShKBzVqKIoHdu72zz8yMNcfOAiriiGeyoOl6nfYDZMyYJQ9DM8BGNufWA2m2OMZTwao7TGt9IP0wsEKhLtYsZyKec1GskGZHuIQiuSTyhjUdYSEeqeyFckiZy1WRea8yJfn2n+iHvwPfuPvjA8vJfUx3UJZxQ+bw6prznkxjaFWj+W+t9nmDGsu+OdLXJPQRocRKDDaktSfR9LonBOhs+oRIhhgwmVO6GHJGBjS7oL2jr1YdyRXcma6U2a+eS6qaxMqX0AbYR1ZESAoSwqRuMJzkcZ0VpKYXS5asR5K4VvO5w1TCZjYlVCSpRVIfPLE/iwlh231jIajYdMXGo1aoD0QlS0PkhG4iSyDjHRtiLbrrSiLEuKwqGVxTkrDlRnUUUNhTVE5P11SYrlOgUmRcmkMIycximZV2JY131AEdT66mmFDFRSud1NiZBlf69sqvPqftYK0qyWcsbnFbQx0vgo6hA5YPU+M0LblrZtM8U90HYtddNmGu+aGfeh7P77FGIgJU/fhcvGBUhpHbWpIEUvrRQxioJq1xpi6SQKbvubGpy1lGVJaS1VJRFhP55T2DcBZQxFUbK3f8ADDz6E0ZFqXDKbLfChxlqBgrquy2GjyhdKfl62nroTiQpnC5yTSIa+03QDQI1IkRnWImbrG19kATYXj0hPMEQDvcUkBeZhgLmWHo5N0knfrBOClwltSqNNr0bZPydHiTnSs05iYqMVNinGVcnezjajqkJqNQ3zxYLZbMZ8uaL1nqShKCtcVVJWY5Q1hK6WhqiyxJUjjBNdKaMVIXTMZx1N17Kqa2IIbI0dblJl+YolftVwfHib1WIpEaxWGOcE+4xRHJjRlFXJ1vYWFy9e4OKlC4zGo1zUk4FCaw75xo2mAPQwGlN47eJET45PePefvofr12/gXMHB/jlSiixncwqjOdjdYXdrinOGm1ev8swzz0BKXLpwgYODAyaTMdYalDGMt7YwZUn0AW1t1qhy65NR0nVN6ou4mYy52ZmcIqTTDWj950bq4aCsjaQVMWPtKqkBdyfEYVMQCqRgBtoIwaGfMCbFWoE+SFm8DikmB+ReXa1WMgO8FE0ra+R1qqqiqiqZg41CEYZzltf+0EDdB0OjtYJ+Yp3WYJNBOZ15tkYaIBUoYxmNp4Q8ijakxHK+olmu8mcsMvGjsuTgYJ+t6RRjNKOqwhp7SlbOWstkMsUYx2Qypa5r2rYj+JihqYjVmY2lTa4nmAHWNDbPXKnKAa51zknGqaRoWyRHUXhC8kKfzcPECmfYmpSMypKqp6D2vSyb90BfpxIvRcqBX0ATVG4j38gQ+s8iqV5SKND4gI/CfKzbllXbsmo6mqYdEIqQYbuQmxFJGb7N2XB/D92vHtILaF7zmNwgM7AntMF3Ge4wihjWeKcW9p3IPOdJTSFHPSl3ZJZlQYyJw8MjjJkNOJjvfP4ADEVVsrWzzdb2DuPpFkZFipNjJpMtqTt4wVxFXyVJNwk9Jz9Sd55V60W+QEuUbowh+UjbtaREjl41IUcVsGZPDO36rOUm+gEiKUMlggcDec6yRBlZvKKvHyShw/UNOdbaAcd0TgZQhBCG4qDSWrDaLmO0zuUqd8Q6TWUN25MRo9LRtQ2L5KmXC45PTpgvayl0awXKMppO2drdIxnNsq6pm4Y2dESlMUUpw0xSIsZAXa84PpkJY6vtRKdIbRGtZtl2rOYL2lXN7OiYGBO2sJRVhVLCsIoqYpyhqCzTrQmPvuylPPbYy9ne2d5gz8gS6Atlmyl0f636MplW0vfx3LPP8vbf/wOeu3KV1aqhqkbcuHydtmmoF3NcdgrndnaYjktmR0csDg/Znkwp6g41W9I1HV6LDMv/n7v/frbkyvL70M92mXncdWXhG+1mOAyOROpJetKL97eLDCookmMozkx3T3ugAVSh3LXHpNnm/bDWznOrgJmpjhi9oJQIAFXXHJeZe6/1XV8zxowJnj4mbNOwOr8QG2rFrIWtohuzDI/mG70O/gRejBX8wswpwEc667E6M9S4QhkW389h0CFijZ80zAlrVp1YRQQomH7OhWHoKTnLouZaUknc7na8evWatgm0IeCs5eT0lErTdBZKSfdzeO7d39+/7L8vjdEgIxmh38r1X4xU2aXAFBPjJFkiU0Yt90cO/W6G4oaDkCPk9x1t12G9zEjE4FLeRxURem/oWkMTOrpuyTiM9+7biDeI+NVLFru1hqyIQghe80+sloVVSyT6bGtFP9SEhlL0ng8tTbtgEcIcHqa5cG9BcfXqpVQkwJJwb1GRY9afVMx/mMZ5prTbbWUOECemMTLGSMwi6J10k9Cm6LtWfApVC8oi891CEejr+0789xzvL15zgulK0LzYRjjniDoIdlVpW4QeVgnPBsheXrpgqLUCL8pGiKRhIoSG5XJNE1qapsNaSVxbNJ71ZsN2f+CrZ8/xNtMfBi4ePsZd3/D69RtZALOyoiapyqZpZBgn+jGKPN0KFheTVLJFL2DxREo4rU7v3wRJW9XjgFAWfZDfjdMItggjSAfTx9tI/6sXsO6L8+GcE/hIBYGUQklZrKSVsYFBE7N0EyoJY2XQ73zDog0Ea0hxYjcc2G93bHc7DkPPECMueFarDevTUxabNQSHTQ2lseT9llzMvPikNDH1iXHK3Fzfst/vcdbhTQNp4rDbctjuuL2+kXyMfmCxXMoCaorwvCkUZ1iullxcXPDpp5/x+Q8/5/zBRX07OsC9pxp+t3qpgTIItfn16zd89eWXfPnFl/zql7+WdjhmdtxxKYAbwVqShau+J93esF92LELDg8WaRycXPFmfyGBumnDekfcH7nZ7VicnGGPY3t5CzrTnF/iuxQY/v7Ta0RyDYuZToxVwPkKDVclsoAYHmONKMdNRDcfHrd+UP8ri4oyh+uiItYVkHqQUlYoq17psqiJkM9awXm/Y7w/c3FzzcrulbRuWqxVNEMiuFHHrZfaZ+v7jO9vD+6wlOg+yyiCSz0ZU2ClltrsD1ze39OPEmDIx6nWQtPByhs3mhPVqyWq9ZHOyITSNmPYpEysrXCeD/ONrrWaKtSKW4X3GW2gbCb9qgojM0E3VqhJZekCFAE2dTwGmYKxl0bW0bUPBzlCwNQZPpecKG6ZatBe9hgVylsU5YokUpikJGqIC4Nu7Oylqx4l9f5Du0UievcwSjjqXorMrjMH5Bu+F0KHZjPM6c78IFdhaTl8I4a1s8n/seO9NwWhVLFWyn3GqruuUFaMvPFdZtlRL9QXmlMU/pbbA+vVpnDgkYOHo7UhOmdVqRdO0rFYrvDFMqfDtq1dcXr2h8bJDe+e5ur0jyu5EjKPQSdU6YoqJaYykXEjANI1gDMY3WFsIjXCMKz0uxUzwjfiGKOtE/PLltdZBn6kJWhxvAji+f1Cs3OrlpgwTg2Ucx/kGqxe6qSdQT3il5lUGi1e7ga5r2CyXnKw6zNjjkzBO9ocdse/J48B+vxesEfF98m3H5uyMdtFxGHqW3QkPHj6g2d6pFkPC0KdppO8nsI4xRob+IK42zpDjxH6bOOTIsO+Z+p6SMhiJ+TRzRm6WlrsJnJye8Mmnn/CTn/6Y84sL7YgKGOlGagVc3lp+jvYRKL5+c33D3/7t3/GLv/sZu+2W3XYnkYxJrRYKIoxyVogPjWei0MeJ5ekJZ5szHp2ecLJcMg4CreA9tgk01lLGkeVmQ7dYcOgHDts7ls7igqjRjQ4Kq4OEME6r6ldb/3sL1GxYl4+iKPRdvY17i/mcpBge+fmFMsONGIWc9DOSCli6F+8swUsngC6IGMNms6FtW9brNW/evOHu7oY3l5e0bcvJyUntYSpgylur/dst21uQhrYy937wPkxy1GzM/9MNolbMORemONEPPbt+ZIoZjCN4S3AOZ6WKXyw6FosFwXu1CU/ivmt1M0v1HJTZKZW6+M0d/fG1pJQZxonc91hraIKsWyklmsbT6HzLG+kKpCGUzUrEgLJm5VLhPblmbak03Xxvc1LWmWzn4ohkhHwwFRhSoR8n+kM/D4Dv7u4omdkTqpSMVXizboBiYa7XVC5YI1kuwmxMkmOtRoZ1rak0XK/FemU0vt/u/scMmt0xoUk6BlHwpZQlkQ1lh2QY0wgm47zDGJgmSSrz1skgFkMb/OyZbo1XOlovvF+1jO77AVJiJ80XbfB0jcOQIRcmxWUrc8cGTxwmDvteFmnsHHNZMDgXwNrZqym0LXYYOOyHucIbx142h1JkED3DXtIK5yTJV03jKUWtP6JsFvVD96GZh3oGN+Oczle9w31Fp8wgnPMYHKYqPnVo6YCubTg93fDjH/6Azz75EJ8Sv/n5zxjvbrmLUcKMhp7+sGecJgqWZrFgdXJCt1pyGCeudrc8aAOrfCbUwVREiZ0LvlkwxUi/69nt9vR9L8NK75jGgbgbGQ97rDE0PuC8p/Veqo82YLyjOMv69ITHj5/wg88+57PPPuP05GT2tak369x1GV1Yyn1M9VhYjMPEr375G/7iP/0lt1fXxGkiuAZTwCP53N6CyQUTkyzcubBwnqVvyP1IDAMlJnKcKDFJhWcNbdNQnGPX90wFwqJjuVqRvJeEsykeMy20GpNuT667mpyHERrxTO80UhkaA84LhCKLuQ4XS8H7o+105cwbc888QjcbYxVGEhocOUoUa3Be5gsyudTNVX/byOD08eNHnJ+dcPXmksPhwLfffss4jjx8cCEmkfeGxO/sBTKfuHfUq/pdhfR9WxbZxI8zCskWtyR9dJH6GIL3dJ3BjBNTzEIiCZ62bei6juVyIbqeFBmHgZwibdvgg9d7pirJj/bkVucE1oIPVRgoHZrQeZWpOIqOQdTSk3Rcei22PtB1HT54pmnEWel2rYVF19H4oDkoSb2RjnOYChwemWxHMDHrYHzCMiSZCwwpsx/ECSBmLQisxzXVdVccpZyz96B6nSNiBQ4LQRGbJHYllZVmK9XW6/fEtPT+ZvE+xx/RKciNUXEvUfgOyk6tlZAS+4wlU1tumSsUY+d8Z0Oc3Tmd8xymAWsT3mdMqtN/6A8HvEXM76wYgU2ToWSJ8EspzousMxKJGbNcyLkcaaNWwFTB4qZCMRbfCM84lyJBNTqTcE4wuJwSOcl7nuGDVLDuHR8bmKv7rHMBXJ6rhiqcwRTBdPWOyvlYGQbnZdFQ2qLMNQrOFrrOs1p3XFxsePr0IX/y059wd/mGL3/j2abI1PfEvpesCJ3VhLahWy1ZbjYUA/tDzzBGXr16w+12L7CUqZuko+9HLq9uOBwOyrYxJJPY73aShzGOWCOteNb327Qd1jt8aGiWCzbnZzx++oSPP/6ETz/5lEW30Hb6HpxWN4J3F56c56CmysT56suv+U//x3/i1ctXxGHCYsEOBK18Wu/EsTMlmDImZ1rrCNbhjaVxDdZYxjhx6HvImRACy81KnGqNpes6dqMIJiOFYRg4UViPZHGN3HwYo/bTRv363SwPS9nMMKPYY9cqGd3YhWQw3bteZOh37JaP1gv3uwa1vDb6OGpLPk2TVH9BhKCyTOb5eQ1iB+GahiePHrHd77i8vORw2NH3C9GpHNPt373J57NTF153by5Wj6rirhi52Hcwrw1WLrD607IoDwdyjlhE0Om9p2s8q67jdLNhseiEWpsy41gYJx2gOh2SIoCMtwpL5awkhCPZrxijlvSykOaSxY9tHBnHQeA3Ddmqv0+BsRSG8VgYhiDEA+8t4zDRtS2LxUI2hzpPvLdVZlPmzbQUYc1V08IpZvpU2I4Tfd/LXKta+esjWO2SzbyxyH+sOcI+1giDsTrnOudwTQCSMu9Ec1EoNLoReFudaFGrnfdb7v+o5LVSBO+q2J0ITeTECN7uRWCjfvmm2vTWFnJSTBQYknC0nfNQLN7LB3p/cOK9V84/xJi1Spf8YUqhlDRfpAaDS04wQeOwXoZyh75nUkwumyJKZeQC9ibQNA02W4ZhYBxHvK8WFYIXem+xtgqM0gyVTdPEHCZia6WXZ1ZRHRrWv1snm5gMexRW0E7Be6dCtoz1aKiJxQfPogs0jWWael6++JZfN57bN695ffma/rAnDxNxHOmHAwahby66lvXpKafnZ0wp42JiaVZgpfJwIRB8wxgj11d33NzecuhHWQS05YzjBJqR4K0skL5p9XUFQtux3qxZnqw5e3DBo6dPefrhB1xcXLDolhqWckzbksru/tlVWKRibrqJ5lx48e0L/vd//7/z9dffyPlHshzSNNEECY5xqLWzMZLNETwXZ+dcnKwxOeG15Z+mSN8PMtNBzpv3DbvDgXa14uLBQ7IxXN3ecDPesj7Z4LpWF7wKf1bHUIWM7q2R1hqcVWPFmOfKruLMslA5CO9WaRV+Oork4G2BXA3zkWhaWexSElWwtxKnWhdyQ5lhHotsIqGR/HBrZJ7njCz29yv8+xvDEc4rc7BNKklmHIql37fsmM0ZS6Hve3a7nd7jlnaxolksSMUwHPYMhz1xOJCNowmBk5MNp6s1iy7Qta0WVmiOtlTsMUaiFajMOjsDjAVhCZaUZuKGTFeYtR0CL6nVOEUXxSARnvrx14E/RobMqRR1MbCMUyQmyzQlGZKPkSYEgpPBtfNeik2rMHjJWiQUxmkkTUkcpVOmnxK7YWQaj1nYwGxlk01R4oGdITfJJ7F4rzoLDMabeRbiFEI0xmNsEWKB8/PvyX2rrDVjcN7+83cKxzm3PeKqVAfMccZWh2Gi2rtKkSULZuVlY6VDEE+SpAOzBsHnRJpx329mKpmYrfLCpSZKWRbYaguRszid2snijNj0CqUVyXBW6qkMVeVGSimRUyF4j2+dvLusO7wAinpjiA6hcsOtEdrdjCWWmoQlbKm2DeKEotVf5U7LYH3Aeulcjp9NIWWxtTBGFuW2Ef1GcF42spLY77f84Q87nn39JePhQDwccBlynMRPyVkwFttIl7A62dAulpg4sTIGMw4Y68lGDLTu9geJy7yRDUGGb3LD4gMGubiCC/jG44MntC3rxZLNesNmvebk9JSLxw959OQxF48esTk9wfsgrCS1RabWVMbN5/T+SiTrnlgu51x49fI1//7f/3t++ctfivvqEOl8S7GGVbfCpAPWZExJBOtofSO6CP2zNXqudAO4vdsyjgPoguqcwwZPu1zytFtgsxAG8hRJ0wQlYbQSQ4WJ2EIpdh6imnlp0kpPYQhjjGRzp+MsQWxSZOBX9Geqffb9TaFeSznWDVQXX4U55DUFUnJE5aSX7KUqtHJdFoUipbMRBk5wlvOTEyEpgNxnuHd6tbqNzWeF6tNEqVMIjhe9/kylgvf7A7e3t9xtt5oFbViuDizXK8aUudvtyXGiawJN17FYrzk/O2fReERzWvscKdamvmcaBlISBCAHoWwHhYdSTpiigZRa6MybQxFkQjr9CVuyWEB4LwVZKTPMUrSwlKLNQ84477VTTKr1MEwpE2NP34+CzzvRN1X8v5jCVMSKLiXxLkv33JkzhpIllwJFD0BV31a0SblYHXKb2cXVe4fzx/XTOUFDqpLdO08Ick6tMTRNzaxWdMXZ+Wdt3Qzf4/ij4jijmrYJv14qjrfNvqTar6IMUQrKwmCtJDCVmaZnj/ASkXnTSVW9WIhpIudE0wSCwgUmw5RlKBM1KMRYxXKLjHgErXES7mIQdau5J+PXwUyMEyVlvHM0zlPahmESOXPJBiEFGTW/qzd4lcybeXAoG0CeYSQdq86fi9GW1jpxNpypYQpQWntsJb1XPYIVH6cYJ3KWqmRCNsY0TthUZGCX8rzxNE1gsV6xPjnBNw3DNIq6tA7jELrvvj9wc7vl9es3pFy0wlCLAesIHkJo5MLynmbZ0rYdq8WC080J56enrNZrHj58yOMnTzh7eMFqvcYFyf51Tv3uq++81Sq7pteYY4la1AOqdnvffP01v/vd7zgcDqRRKMJd25FiIuWJRjsEZ8XOYNF1BOdhEjqtI+OtUHZ3ux3X19fKOhFnX2Og7Toef/AB42HA+kZzPAznp2cE9a8x5n7lLFekYkLzDVEUy60L6Oz774ouCFXdWn/daA71MbdrDuoBMcHzGZPuXUAVr1eKa32+nDPjMJCmibax2Eb0LcJIkq7B6SxHNl7PsfP5vvv7fp8g16KzFbYx2oHc+9kieH3f93KuNPypaTusE5qytRajkHETHKHtWKxWtItOu/0kaLzOTcZpYrvds9vvyUltKUydHzlBpEzRMB0RStbXnEstJit8lDWX5IgM1M/R6ddLyWDErts4i9dZUQHJm7Ca9ZCFGVhKIWXIJTHEKJ2CM2Sja5F2Hykl6XBlBCUqdsx8fQTnaFyYmY01AbJCijlVNbid2U7GeqwTq5O69sh8QSxNrP5deTE0Tv4sazQYZQdC+92T/87x/pRURDQjnhvyyXmN6LRObJ6z1htGnQmjwkUzBqY+5zEKtldbKachJOIA6u5V4VpJK9MpZakOcp5wXm6MaRrnNkkm9bKQVxxbMP57yVK5ELz6+4+RKY80oRHLAOdwOevCLx92jFlETKZuEEXDLMA7g3UVBsmkaQQMPjT6HnSGYhKmJJoQ5mjFXESU5qwVTyd5w3MVk3KULISsLocmSWiQEzy0YtgiXhIK3sIHlus1y80arOF2d8c4RqIKqPpx4m674zCI0nGaJnIRKqVzjia0motrxEOmCUK39YHVasVms+Fkc8LZgwecn5/zwQcfcHZxTrfsdLiobBmdwVhrNBDkuAqVeXHVQ508DWKA9vvffsn1m1uI4JHs7zgMNCGQph4TzLECMiA7tgif+qmoetWLynMciMPwVlcXgmcZOtbrU7wL9LsDtzfXtIuO07MN9AMlHGDZgWYjo13wjLjr6zfHNzUXSM45iitEI9BGVnaOc+ZeEaXeSu/sM9gKxzAjjLnIxm8KJF1U5FqHNEZiiiIIpRwFSnXHqYUQxznHfcr1W1teua+pQAgZplo16Bma37dRcoRoCTCW0LVShGHouoXSOGGaEu1yyTCOOBcITcAAY79n0mvEK7kkpSwmdaO4BDch0Oq9GZxV+LbSfJXhlbPCRGJnIkaM8jlWEaUQYJS9ZZBhOxIaVqHf+pHXlEDrnLDmSoFiyC5RoizehTJ3HrmSCwrzTMmWyrZTG4rWUx1a64xR/Ir8sWPJR3jVLarQTBlF1iEvU+etRgovsQgCg9cseqeFgaHmfFiDKqTfPeP/8PHem8Lp5pR+GEShHCcVeZSjTYPT7iAehzwpRzBO/JKAYrNCCXYeThXFQVNOWrUKiwk9QT54MEHVexEjpg9YI5WRM9W2Wmxy5/YxT/I8oRG1qtZnJWVMLpDQ5CpZyMYUtUUzShcUyqXHElMhpoxFcH7nnbSKZaLkjAuqRo1lxtCtMZQ0YR20QYR9DgupYLzFGlFGNl1H27UaMDQyHHr2Uy+wWMrkbHBRhnfOGqaYCMqRtM4wDkJtXS3WrNdrlqsVLgT2/YHL6ysRxRTUWVKMyYYx0g8T4xipzqvWgPeGtvFKZZONwddqxYkpYbvquHh8waeffsr52fmsuhVGS8LqDVJv3LpC1c3gLUqkMcpQccSp8Ntff8mvf/E7pu2Ij0YX/aTkg4g3mdAs9PMy5DwyDll0KCljjYfJEhD+ex4niCL+00uQzhmiDWz7CXtzx2G/oz/sWa6WLEJg2u8BaLqGFCM3ux2r1VoFjuY4JykV/nv3OJ4rZ72wX+oNX47QQJ0EZI4D6KKfiXF1+zluLNij7XbxohZ3rScnSQksQ8R7xLKheiYd21XdCmSDNvbt2QVI0Td3OlnU99YayvwW70F+CMOo6NzM5so4gmItxntSpUNaR1Db6kXXEUJgGidub2/ZD5LM1jQoDGIIrqENuuE0DW3TqKdaFtyWWlhYKbacjmpr7gS1WCq44PR9ZoVrj4stoAyk2rU7Cd7i6EFlFWUoRda47GvHoeCflTlQxpCtCFMLhWz15ygqZi3zhuScUXuuhHdBvl83X+3IZgdhCl6LNMhi1GeMzhrE+8rrjNYagy3o/OGtyxFzXwv+HhjSe28KH3/4IdvdlrvtlinGmXc8TZM0JW0rLW0pUrwhNhZwxN0tstiALFIGUW7OtUw5fuhgdFeUBamq+ZzJtN7JySiC4cn1UnBefWpKAWMFzjD1cZRxMEUGmIfAxlpiHMlFZgdWLXOtMzgtr0wRXxfvg0Bg9UY2Tqr4LDijdbV6ETqanCipWiwFctRhYMY1LV3X0C0XhOBn6lz1RZLXK4K6mKHkSBMksyKTJGwko/qPwLJb8uDiAQ8eXIA1XN9cc3NzIwl4uYaro4ZjiThkTFaTPyxN08jQXSukVDLDNGKDZ+E9i+WCR48f8oMffMbHH3/M6cmptM9agx7XmCLxoVJgSeVL1XQcq+2UxQHUOo/Bcnd1yX/5i7/g+tVLrCpcgzXkZCAnnHF0bUdQJoqQxwspiUW5s4K3YkQtO04RmxIlRqaUlQ1jOORM6AfWMZJ2O7a3N+QUiabgty2Xz29ZbW/5uJNEOmct4zASpyj2ETMn/PtDS2Y1trYnYuYnr80k5gyOuf0oGe5tLtVv61jsFWWl1edFoc843+HeO0pM4j5Kpmlb8UNS+ib6k/U1v007PfZxojmBKuXO5i2k761DBGr6yNqRTFmyQqqFh2DeQSDIphFIwzjwhUW3oCBzG++PRA5jhFbrnPhnheB1UdQ1wgjbqVjRpswbqZEiwuh1J7MlIcPUOYtz5u0FmArvIl2BnrNKiT/OHcDgZphQNtwyz1G9upMmqzGiOd9DE9y9wCSxHZG8bieZ7JWirYK3OjcourkFb1UYXDt4MUN0CqdbUMLF0bG3EiLm9/ieHUI93ntTePjwASenJ2zV/noYBu5229l9rxhx9TRFFnrnZeeM6kkUvJhNVfZSlcLXXdvce+k1P8DPlYF2cSoe6WPEV6WxDxDFAtuqR0FGQ0iso+ggqiZ8YSQFrG1bYhQurzGGmJJg/laDSUzBJOl2JFPWCVSkH7zzXvMbCmS1CM6FkuIsYhJqreCYpmSaUIVPRQJAyORpZNcfZCEbJ3HnLNIlpShzG4emrGHFI7GIeMYaSxMcy67j4uKM89Mzzk/PwRZevnxJZfxYxOPA5MKgi3HJ0rm0rVhbr9ZLsRNQi91CoW0kS/nTz37ARx9+yCeffszTJ09pu3ZeECuzaD50gcjm6Gs0Y+IcXTetEeFcSRFjMrdvXvDiD7+H8UDnAl1oGIeBkhNNcLSaTkcuZA1FclYT67LoSIzmSU8pkXImliyuplYW6ill0pTpX7wkqgtmf+h58vABk5948cXvuT3s+KixPDj0hOWKVbsQT51pIgc/U5Z17f7OemmNJaZjHnPf94TQ0IZGr02korzHdCkIll2D700BW+y8uczspHk+VaFZq1YNooCvatkyDEQXlc9+T2FQBI9XkJl6c8kaWWYYT3eQuYv/vs1PH1Des7VSNaeiQiwRoS40blU2ukIddct7N0JBpdLcZTPJSh1uFLqsrKR6rZl7gs8625iH9apBksvQgXGSwaIbtTXHjuytd1Rz1C0YhOl13CkVNq6sIf288qyTqsrzIrYXRrqG2mLNMBCquNY1Td6XO8LaBaz1omWq+hOjgl91gRYYXphFxtjqxjV35UbvrYpJ3u/W36NBmI8/SqewWi7p2pZxlPCW5WrJ4dCzP+wZx5G9PXAohVR02m2L2txmchTnz4rTGaXYCYThKcarK6gTCp9WRimL+Az9ULUw0QCbRpxNzaQzDSMtulauU51FpCgD5Xrx6smuEJet9DJTsF6rqVTIvuCTfN3UCY5WHdIvWK3ArbSfVtvoNIn9ghNxjjhvOrpOZyRFqukcoyiQS1EKnFTv0iV5SjGkKC2ytVbZGCpkUWGKxXG6PuF0c8JmveGDp085PZdB8N//8pc8+/Y5/TCAQk8ofulw+BA4XW1Yn27ouk7iOlNhjCPL5ZIf/ejH/OSnP+WHn3/G+fk5m/VGTcP0n1qFmuMlVxCcNdeLtOjmUIRdNfvxz0tQIo8juzevaEksHViTCSScF7Aw50iZhO1hS4Es1V8GrPMyzMuJjLCoamdUSqJYMRnMWaiBKRf22x3++oYUE8F7FmfnnF+csdvfsCoXPPnwI7puQR4jRd0v2yYAwiAjyHU8u6TeO2btirGkkkS92ve0bachLKpnyTKMNlkyM9R7T/9znD3MRy5Cf4QZW/fe6z0yCQ1VF5ikdO+UktrU+3sK8vrp1xu7vm7m81nPaVEo7PsWlHqP3f95KfbKPTLJvU6naBWvqME4DJKYVoyazb3NaJz9nu5talYrsjJvNMzPdfy8dGBrBBa2TiOHSsFkcSY28+ZRr2GjLgz3WFfzuTz++UgnNRRn5q6tdhQxJR1eHz+xlER1XD9qqxT2I4/tuElJUerIJanbr8M6S+M8yEx7HjKj0aFHOrPCttq513N6LN3qefqek/nO8d6bwpvXr+jajuVqSRM8zon1wrhcMcVTST9KEnW5OxyYYiaOE+M0kFJimsb5w0764R133jLv1sF5hZSkoi+5kKdMsUXZT4nQyuA6VwGQdh7186gUrEIhjnGm9QnDRasv5eCnFMkmKxRiK2yJQ2mEoWBsmSX18lhgUEsNLN6AJ9FYGf7YYnAkFq34E1kr2oqmk4sj5kQqMKbErh/oh5ESM3mKGIyY3yno5BS3lGtX+NRNMHTB0bUNrlhONhsWyyUnJ6c8/eADnnzwlI8+/ZT1yYa/+uu/ltnCMNL3Awc3ECzY0HB2ds7Dx49YrpcUUximiaZrOTPnPH76mP/X//Q/8vkPPufsZD3foPcT495uSst88RmMWAHookKWxa9CRznJUD5NE+Pujrs3r3n19ZesgsWcrmV4HiMGTymtWJQAi0b44ULdTJhccE6JDqUOCwupMNsKg3RdUyrEXIT65x2X13eklOi6lt0w8SdPP+LkwZ9we3vNan3CcnlCPPTcXV+zOTnBLRoJZbeOaOsC+t2Zwv3qXiCQRuijJaspGSQjDJZcoOgCNi9qxmCExqJ48PEwupDF2mkoHEGsSXcOY49nZRgGUhISgsyNrG7D5TvnLiN07NkuwX5XtPb2r9SFp8yQZ90k7vvsZEUP0FkF2uWkGBnV42dW3FoJvgnBKWyi4GOp5zEd/17uU7SOLykWhNg5b3YVujmKTCtTUrREfj5vtfCs1XzWDrSAWpeo2R4AlqAsu6LnpcG/JWotQE73LTjki8ZWuOu+c+nxuY0y62oXIPNXXbsotXrQa+K40d//79uH+c5n9Y8d770pvPz2W5xzrDdrVssVPgQRMTlHG8SV0TqHxbAfegl2GDQ4fhgYxmHGzWswd4xR6JBUi9cjEmasIRgJwZGWPUvVSKYUK1i0zgWstZrqWNTC2ry1AXkrLViKMhgOqvJrGnn8opNRyWFIWjXJB2ltweZMShOm8va9BJcErUKDtTTO0HnDsvEEK0lMizaganVph5sG48RDPmbop0jY79jue5wd2ZWDDKSNBJBboyElKgLsmkAToGsN60VH17Q449isN5ydX3B6doFvhA2yWC55+OARn376GYvlktubW25ubklTYrSF1q95+uQp5w/Oxf+IxNoamq7j5PyUT37wKT/56Z+wXq+w9yrIyp+vt0at5ISCmpXLL9WszVBiJPUDOQmFcn9zw9XNFa/fvGZ7d8dwd8O022IwnC0b1t4Sx0icxIHXOYdddRgsoWmIyuCIWkyEEFiuVkSl6MYCpR8YDwMV40kpk0oBI6wd57z4UFHo9wPffP2cn/z4xyw3LfvtHm8b1uvC7vUNv//7v+f05ISPf/pj2gdrcBnXecRs4+3j/s2fdSC9XC4JKnpyVnx0Gu9lniJX2EyDrLRcSh12Cmb+lk9UUcsMc3xOQQyE3FEtGGqiG8CksJJ3Dhf8MWQHQzGVYp5mGGc27hOwXQSf91hix4WxUFlLx8WwzGlnzJ2PismSzFeyCsvqvVa9ppx6ZzlX5wg151oW3jgN83sWEkZSM0LZpOtnKFCywjq56IBXlPByzQqluW4SR3wNpU/XYlPfPxU+qmhBfU5DUn1N1g08GzMzmCjKrtI8+fq6MUdV+zzTQCiwTr/n7t1XMqGtOWv1hcr/a3E2X4sVI9eN6ni8/2ThvTeFFEfGIbHfbQlBsk6tc6zXa9qmEz+crmO5XLFcLjG1osuZ/X6vZm39vSCIxHa71WpHYCKD4IySzFVEAUimepU7LM43NI2fh5yVpSOuiJKHLFROOSHBC3XRijRWWkqrQynA+rc9S8TWW9o46wzBBgiG0Qt7pG0bdUVVnxEv7V3rLYsgnkCNM7qAO0luAhbLFdZ1FOuYcmZMCczAMEScmQheIjG1mKIUj7ceUzwpSiiIq0wDnDIXPF2Q4JLNyTnrs3OKcez7gaRCosePHrNcLLk5ueFl+xpnPeMh0/glp6cnnGzWwhtvG3wTWJ6sefL0CU8+eMpmvZbLab5w7x2lLixa9eYKJVnQDSEdDrz6w1e8+vo5JSX6w4Hrm2tut3dst1up1IMRznoScaMBMavLiRRFVU3J+NByslqRsaBD8P1+T9u2PHr0GN+0HIZJ3vubNxyi5FRInrjcPtV+ZRzk+itZhE3jvqff7Yn9mrs310y7nrXr6K9uuHr+kldfPaNxno/bn2A2jQz4jZi6vcviue9rVf9/2O9pQ8D7JaRMo51wTQtDBUey4MpnW/Hy+jipug4btXLQyjsrs64uQu5e9xKCEiOUOz8l6QhyRVDrY9/bEO5/zRoD1omJoD6ssKh0MyhHY7qU0j0YSG1LkggG728aBtTxVQSl1dDNOUvbqgJbZ3I5H6MtSxGtQH0sQDeXrG7N9/3EjlYX9WvO1GwTowJUe+8cvbtc1seqf9a5xr2qvhIoXDlGYFYILtVNdobf7nWUwR9hsfn5ubdBFJUW5rlAroepc7r5C/V/x4JB2B1l/mqp0/D5z/yTxx+hUziqB8f+QK+74d3NDd41Yn29WnLYnLJYL7l4+JBHjx9zcnKCsYbXl2/Y7nYStXc4EHNkt9vNLZqIk2Tnn2LUrkKQabGcEPw+mYRr1XkmibjJGPEqsnozZS8DoIJ0A/UiVt6lqBKD7Nyp1BAUGTA56wheqnpJvzIEL8Z43nlRLKttcRPEg6drAq21eCM9j9cBs1x8ouVISeCZMfZsDwex9Z4mxilhbRDHyLCAAuMwIQQOLxGCGss5jZZFaGhb8Y/vmobN+oSHj5/w8OkHrE7OML5hmKR6CU0n0Zqn55yenONtiymWsY+0zZL1yZr1Zs3J6QmrzZrFesXZw3MuHjygbRvSW7Em33ccTQCdmiRWhlW8ueU3f/szvvr1b4n9QGu9aAn6A/1uy257JzTg1YJF14gd9zDQBE/jAs4UchyJY6Lg6M2eOIycPXjIBx9+SAiBb54/46Cxg6HrePj4Ec1iyfLFS/7m735B32/J+TjByLni3UJlLhTImcNuy69+/gturl7w+tVLTIHrZy9hygy7PSUXvvr9F5hF4OzjJ6yePMQEmQ8YcxRGOecUvrRzp9A2LSEE/vD733GyOeH84QNRq3tHCkHmPRw3Bql+ZTZWb2SpMGWBtNVyW+99e69MvA+T1H9rZ3TMglauvS7q6LXvjSWpcKJStcHMm6fEeSLZ6zrrE4+x46ZSirD08hQpUZMQZ01NnpW89eetRtHWPOejh9jb1t7192WhFNFaFcjWQ/l9HM0F5b0JbFZzKYz6CNU+6Z3r+zut33f+MP/YXMXrZnEEdCTLufijUaFGzCj0bOaZwn254HG6UIA0Q61vP+f3rehvdwPHr8pjzWp5eOsz/ceO998U7NEELmcZSIIhxoloEkM/cNjtuL26oVl0XF1fs91u+fDDDznRdLAQgto0LyhkhtMTuUBiEfOrJEyfmITyKo6TlmkSCpezgSlPZCfldNZNIXgHOau8PIoK0koHga1qxzwbZ0EhOCdQFEXpaPLBCaMjqK+IxVvxR6IIdOK9I8VJPUXAkQnW4koBpb9Fo144WRgXU4wMwy3jKLTQMUUZwFtB3Z0Vh9Ss7aUt4I1a9qY0V9ElFtVuNCyWKxbdgoePnvDxJ5/x+KNPxMIiyXA0FchYcopYG/CuoW1a1ss1MWTabsnm5ITNyYrNyZrTi3PWJxs2Jxu6tlFsWy7O+8O+esnVvOmo1hFFK9USJ9K+55tf/4Yv/v5X3L25JB0G8jjStS2JTBwHyjRR0sTtzcQ0LNQiXEy/DoMsxDmJ34xzDX0/cHN1hQ8tyx8uOL845+bmht3+wPbujl0/sB4jn/3ojCcffEj7uy+42+5VkKSMqyKbdk4SmSqUYVE6f/WHL7m6fE6cRhbtgnSYWDYLTjYnqoh33N1uMVcdfr0mbJYV5J/dg4H5s5gHzs5yfn5GHvb88he/4OLyMT/68U9oWjW0U4pjLDIct7MXDjMporLIxJFXfLTqeTnSJuvicG9hKKLXqHBqXXDrtVzzRAwiirJVi184iktzloAqhPFWqbHVebjoJlFfT50xVCitbgb3OyoDM8zoTNV0GHn8aldh6iAXgZmSdIzHEB3eed9vzwzq81ecXu79aosvRe59eEun4Peu8ft1+judRLm3Ibzz08UcB+K1Wnd1sDxX7FVIV6v6cu85yv0n+U53Lo9q3v6iOf5ZUKN3txw5pKvinzzee1O4uDin7wd2u52cDPUcjznNJ7nkwtAPpJIZ48SbN2/45puvWa1XrFYrOsVXnRfBVH0vAt0ZDdO2QCsMBbWcyC0Y43E2kE0iG4mAzEk8URqt/tM0MY2jQDvGkGIU6blO6yuXmZwlKa7IplFnFrkUFauIytLWBVshKnltanw1DsL7L4U+JfI0keMkQ1XjlFFiwAVihnE0M6vKKKUsAyUlhihmdClmzeTVmyTJUFIuKjcP0y0O7xvWmxPOHzzi7OIhUzGMcWLsD+x3d8RpEAJvjNgCw+FASYVVt6J0hna54PT8hNV6zXojG8PJyYama/SCrJ5F311sQDuyUhOnDFFD1uM48pu/+Rv+y3/4j/TXd9hUaLHYnCnjKOyPlISlUjLTVMi5p2sausbNkaXOWk4vLlguFvSHQaMsDW0TWC0XnJ6esV6v+ebZM7aHPbiG17e3bIcBfOAw9IzI4pWSLCJOacpN4zEpQ5KOUqwCIlGdOUvbYpyhWIMJngcXD1meblg8OCVsVmK5buuQ8R3vIoU26kxLMHrHg0eP+eDyimGauLm64uzigqZpKUBMAo0kvRkshhyr/9aRclmHt8Xkt56zspBmumpMc7V95IG9A63oOmRKIacyX3f3X39WtXDduIxUTcomkk6jGHPsOOoqru+7dhn3H1M2Ah2uOynovH5d2RTz4+R87JKOLKb7m8vxuYr+zhEWqlTeuZh/a9j79kL/Dizzjx51wf8ehN7c/59RuBqxdzfmnubDvAUFfbcPOX7lu3ef4eg8rD9xryA4atj1u/V86Gb9HV/G7znee1NYLVficz+OUsXZotWXDFyctYL5lcLYD5Q4YaxhGHrsa6meuq5juV5KElLbKIVNIBFjxMkveJknpJSEbYTF2UDKI6ZYbCMOqC44vbAzaZowOWFypvEypMkp4yz4VgRZKUZKirOfS83+zarAni8YrVBjLlgsQxpUeCef/zSNWv1EcpIFmixWC0YrMAwY56kglvFeguCTLoTKokp6YzlvSZP0mMFWG2Vp54O1iBBabogmtLPAbLXasDk5xbiGm7s7vn39kjevX3HY3mJLZtV1bFZLTJJquMRI17a4pqFdLViuVqzXKzYnG1arJaENqh25J7CSNzO3wu8ewkgSP/vxsOdv/vIv+eV/+iu2l1e0xpOGgQnIU2R0juIMU8nzAM4EK3OUXMQJtyQWbcvJai3W2Eo5dNbhvai+f/vr3/D61WteXb5hu92ynyaycRAacaMshtvdgWGKpHy8U42BSKZxjeDvxpGKQQaaCYoneMc49IzdRNMuuNnvME1DOF3jqZi9LJLoQnPMRTDza507BZ2PWGt59Oghz58/Zxr6uXNp2w6bEkxJsh90wa4FSFbWi7H3XAA4noz7m4NewHMFfR9DrtBNyUU3gqravcfBVzhNHt7oTCCRjH6tIKKxCh+VorRSvX+0MzD3XhcwY+h1gXdO3IWNxmHCcRZz/z29O+swdcDLcYNzCt1U3UsNtMLUABzZzWoGzLuQzHFOULQAus8ou78km3e+/G7v/E5lXzep+QfyvN7fA8b07/mt3/meh//ua3jr9f1Dd6c+SzkyxN7neO9NIYQlq5Uj44Atw9CL0tdbxUCP1aVFJvApSdvnvOz0+zjR9zuMFb8fH0TN6rW9bRpPCM18XmJOghEaS1Kvfd8EQnB4zawF/XGd0Poqty9qlzsMsxe9XFzyUlNSoQ+iGagY4Uz3o16s8lrcbFYlr6nRkPeYjGCjVgI16kBKZiNJWEtOeOIkVXZbqXhDzkxxQjTdUpV1reQQjFFfGxlrtc03VS3qMLbB+JZdP3L79R/45uVL3lxdYkrhZNGJZ4xxjLthNg4LXUPTtJq3sGaxXrLabFifnNAuujnYBVPUvqTeOFVzUC89GVYWK/injYm83/Ptr3/Hb//jXzK8vmSBhTTJJluEFlrQSg6LTYWGIGGGpuALNbgWWyz97kCaJl18DY3zrJYLNmcXTMPEy29fMsaIM57WWXajRKP2/cSQjlDMlAXaMdqJeWvpc6Z1on/IOZGK+ihlWYxjLmy3O3y7YHVyxmAhLzq68zP8siNiSOOklijSlYqjqFioVKO8eTHTuddysWLTrThcb9naN5w+eYwPXsVnYqNioo45vYXiCMYqFTPPJ6DUarUuxEXhJBRbVyikZOmo5QGPjBhTqqpXjqRQjLCReLsqr9dDrgW2XhW2akakIMqxdtoC0XhdpIt182eQS6E4tWf3TvOXJX9AhuEZU8y9jaLMQsv7bKuihAuDwajFTN30ZYZiEKppmX9ODn3t9+DQtzk5/9DCeh/e+f7v1oX5fgU/bzGm/uddQOefON5tJWbBYXnnVb/VN1DfZy6i7yoUUol6v/7Tx3tvCk2zwLpAMeI7PuXIlCRT1DmDLRZjPWTxFs85zR4wZm6BIWv1n2OZBz5qXIAL4sopraW0vhiR02eVtDtjCM4q1qztdJQZh8HMEEvJR1fTe2dGbiLK3NZbq1nJpVoQJLXy1VvMVvlOhbwscUpMsdC4IFYU+tpkExOdxNGwDmxRuMRagg003tM4J95ISbx9vPfgPW2jA16T5OTmTHHyviqXWwaHgf2+59WbX3O73XKYRtbLFU8fP+JkuSSpGRw5Uyy4JtAuFizXC5p2QbdaS4ewXtMuFtha7SKLzncu37ohFNT1UypCcqbf3vKr//SX/Pov/0/i6ys2JpARGMOC0keNqnVVZJML3nq81Y3P1OhSgU/6w0AcJzU7lECRk/WGTz75FIxju9txt91xc7NlyAONC0xZrq8YM7HU66FWnEpXDvWmYV4k4zRhveWwkxmG8Z79oSe+uWI0jo8fPuTiww84f/qYWDJGmWhVh2Ew4nJZkPmDXmdOWXRFrS3Ces2Tpx/y9e++YHt9y+nDh/K5WqsD0UwxSTbKOqfJFl8clDQr/SskOv8/5fl1GOX2V92PuXcWTV2cSq3hZLErRhbgSn+Ue7V2G1Kw1IS3nGtFXAsFqdbtvWGrAarnf/VfMlZtsusQ3Hud6WmnrrCPxBfVDdVKt2iLQr1GExHtDDHVjPHaKdWNoToa2HvQ1vGursfbg+bvH+R+93hX5XF/STbmeO/Mn//cdb9zmO/8QYR5/+DP/QN/f+ssy5GVfVUDu4xhFtH9U8d7bwpZP4q2bTnz5/jguNveMfUDcRA3T2dEkWwSmJzm1B9ZICMYL46oxUhABrLQVel/rgNBfS7fqERdO4eUMlPJJO+YxnHGD8XqoBZSZsZ2TTFCOZ0v8Fr5GEox6stylKnnIsZZWasvmRoVvYlksZKKXxb8lBXBSzrQ0se29cL00lFI5gOULAtF8E4jHj0GgatCE/BNkN8vUWw1TGIyqDOrKDEXbaD1DpMTu9sbLm+uGaeJh08ecX52xrprdL4RFWMVWE7owktWqzXNckG7XLI5PWGxWOCbhiPbQRZuC8eKt97Yx8JRv2DYXd/yl//u3/Hrv/gvmO2BDktiEs+lGOVcG3RxNJQ4HW0HEAV5LjrwN3JtiN0BArOp4Vm0BWM9Fw8fcnp2yt3dHb/73e/xwdIkgQfTNCLyP1UbWyse9rqY1ArR6XDWWQvOi2K6oIlZkv43pMTAjnzb8DhFIRsYy9AfiAehEE99T3CO5XoFRn63YuXH7GpdQpyVBW3Rcfr4ISln/KIVR04jmhwfRFw3kkjGzpobMX+zuKyvzyC+RCBkBbV+qJRG+Y54KpV5FTxCDLIhHLF+UZrLgpnvLThyrqUKUNSImSqrEFpRKrkznmIrVbcOVS1Vy2vUTsZWS2rrySWSyhEKkjN3pIrmnGdtwWxDY44/XzUVcPxa3XQqZFU1NnW+cISL/q87/slF/f8PhwzCzfxn+aze74X8UZtCVq5/CIHFckmhMPrAvuznATNoC2etQv4SeFEXE4lVtDMOGZwMyeYhUalUuYK2CDJL8EJDrRVfVKGUt05DYY47eA24kaBzJze9fn22dDaykcSoTKZSMFZCvLnvr5Il6MNY1A1Sqh3v/YzHCjPKCfafRV1alPXQ6GtLKWOcF7y4SFav80JNjHES4y/vxFYcI7a41qopXCI5ufkaZ1kEBzESp5FlE1gvO85WS5bBY3LUylFps22DbxvWJycsV0sZ9i87utWKbrEQK+O3BnD3WmtZzeddoG4G9ftxGPn617/jd3/394w3W5YJMpFsZQEU8y+jLCsQZfZ9EzPdDEgYI4KlGRK0ChuWorMBuLm95Wc//xlPP3jKYtGx3+/IcSJ4y5TFAzQYUX0HA2MWGNBaq6Eneh3q1eKdAyPBNhjxr48FSpJq3VtLt+z45JOPWJ6s1b/Kc/ntKw7bLZ11bE5OaH3gbie6i5OLM4IXFXGGGbosVkSJBNicn8jryAIlUmQY7NAK2kjEZ5l34bpQviNW0tNTMwNKlaWZAjgtbAoVg69e3XUDOcI0NXvdYvVesHUzsVYorPE4VK/Me+krpGJnXqxrNWrmc2iqCLMOuo1sRNYcN4B539LiTbQLbi7ygrE6hBf6s+yVR6YRCGNKHH3tvQVQi535Gr43P/x/yPF9Y3JDDbXSuNgkDtTvc7z/plCSnjOlU1mpPoX3K1zjaYzkSXJYg7NSKZra7nGknGn1C4ZE0oSv49DJlKIVxXH3d9aRvSUayAjc4m29aJgl9HJhOIVwDDGK1751dYBbhAVktKtIR3dGa9yMadb4QWePgdf2XiCKt1afX1dKKyZwMU0Y20hXAZDVk1KrspKLuDlnB15mI4vFQl6vDmCdGnkFZ0nK9qAojc+oh0uWanWzWBKahuAMeewpzhFcwPkG7zQxbdFxdnZGt14S2pZutWSxXs6GaaBdVO20uHeTUv/CfH+h30vDxM23rxhvtqysw02TsL4UKrTKspJEsDLDgXKOjOL3k2wMtqCnRytKQ9M0Enw+SSzk9e0t14ctL1+/4NGjR6JraDxTTCzbBuMsfcxkA6MO/r2T7isZMSqrEY7WyXivRl7GlInqyV+x8ClF7rZ3PHv+nI9+/EOWXuZe56cbLp895/mbSx4/ecIwjrx+/RoXAov1mqYVRa/TRTzHhA2Woe959ew5IWceP3mKcU4rcelqxZdHbcttElO8rF1qkRmO0UHucbFHS/hjEVxnGJLZrV1Drcj1PFaGznf8juo8QbdPEcpZ4DikrBnq81yiqHeQ0U1Qf884cR6YNQhy0+k6UofTx9dV4z5LzvP9VzsTWYOYN6963BehzRCSrlPWHJXf95fD/ydtCe8CYvUwMzBX5vVxGicW4Z9+zPffFHThBBmo5oIEv2PJrSR6ycIsnOAcE9nWakEWnUpRqwtDvUJySnNsXB0Ge+fBZKoXYBXO2BCEY069qN99pUp3066j4qjWSPh11na4FLCanWB1EOa95goXMNJ9i0e54qjOoX4sAhF5I9ir4KwqXvIOssA/NXijDvcoCa/MlKhq3ap9kJvh2MWgeRVefHHnzakUQ5wGjCk401GSJ7iWVi2duyBRnsY6mrYFI1m97aJjsVzSLZZ0q6V4zVO0s1Ffo6rbKHPToBce1An9fPkVyMNIv93R323prMcVpVBqd8C9m7Li6kb94401SGgI1FCfnLO4fyKzHmMtJeZ5ELo/DJgExWSGaSBYJ0pVioSYW0NhkgjWlLQrNXXNlMej0i8Ftqqb9RQnZbJUZo285unuhp///GdsTtf8+f/wr/EmsF6IjfjzZ8/43e9/z+P+wJvXl2z3W6Zp5Mc/+Qmr5YJheyfkgcUCQ0OeCtuXr/n2yz+w//RjPvn8B7SnpxhfwMoWkkXDJli6QjQ5F6pjngy00Q6rLq4oZKqwyzw0dtz3aKozN1uYLZ5lIa2btPZQ+Z6hgi74xdl5FyjHSYDwyYudz3XdMOpMxQd/NISbYaXjAn78OnN1b+5ZdMg1L2y/4MNbLCX4BzYFU+Gz+wQJwxwWxP+zNobvP44VXEqJvu+JMXKyuvgnf/P94zhzVNhHFJH1KZ1zdIuFLm7iPZ/HSMnSas8zBZup5lPGOLkJFLc35ei/MjsURsk8LaZWMOgQTWCf8p2Ly8zto9BZIzVVqXFBuoMiaWkYqcaPkzEzPwcZ8WhBbgYbROmPwmDWO7EGx0pkidpiWyvDQEfRsHOBI0yq9E5te9G4Si8QVNM2VD6596KGRGmIqJGZs1JtGiS0QzxghHLrvCVOgfWyhVJogqNbdFjrcSHg24blas1qtWK52tAuFxiNGKRkHeiXGR60xpKM2idYo6iwuXduMqSEA1589TW//fWvxZJ7FJbXFCPJO8YUmWJUXYosDkaHpPM1oXesAcZxYBpFU+BdICdwvpk3pGKEVZNSYhh62iZgDKQcMaYwDj1Yx6JpsDEyTYUEM7OlaB64c2JfUkNQClmKB118MFa8qWKUOcA48vz5M/7jf/gPxLHnT//ln7FcrwnBsz5Z4UPLo8ePcc5z9fdX/P3PfkF/c8vTiwvMNBEMnG42LM4vaBZLPlye8uzqlr/94j/w/O9/xed/8lOe/OTHhNONVOiNsNosaj6oSt1UMs550VxwDxpXg0JKDf+pIrPj4lAHyjUUKBWZ6OR5azFIYqneG97NxVbGaECRuB7XaPlSd3trwXowx2LMKjRX0xDlFB67/vuL+HEhP1b58lr11SuhwSjUN7sc329ZZ9j4+PtvHdr2vuUd9O7P/LdyvMMsun+8C3vVLTpzhHbfPvNaJGSJTn13Q/2Hjj/C5gIxlMPMkI3RBTsjMYcW2RyikUpaBo2yY9d0LrmYbK1z5nnCfREQSGHkdAGvMJIMt3TYdm9oUpTnXkx9jqOraVUXvsWDdrWNrq2XzirUmlrEY9ruqreKRI8WTC6y6VGwwc0VFiWTE9IxKOSTpukeDm/F4tg6MH7GPuv7MEaGYzPNTw35Gk1Fi3qSJbpU3nR1LLUKx1lXg8QNeEdYtCzXa05Oz1huNoS2xQQvyXMF3ZglFrTe47FMTNNAcA6KJZeIQfQLRYeHxmbyNPH61SuuX7+hxJGEYcxCF0zzha2brZ7n2spWN07rJU9BciOsLlqJQ9/L80yJYizeN7phpnswoJ4+pVxaK++/GMuYahWdKFHyPIpaJeRaGKAVr+LnxhhSLOQim0fUjtLkhHGO1y++5b/8xV9w+e23bDZr9nHEL5f8+b/+N5yenYtyf73m6y++YGEcJ+1CSBjbLcN+YHp1gwueuLsjbA/0L15xtd0xXl0x3tzw8b/6lzRPHiEuXZXvr0SLDODIWQgL1oGziAVKEbpvrYIFsy9SuFnJPqbOcagwj/aEBqz12mkkYk660sj1UUohGUs2Aio6CjhLsFYdi7U4q8ZxxszkEqPXYr1Lq3Ctzgjme/H+TOHe4l6/drx/zNub4XvU+u+in99B33W+8se2Df9tzSQUMaFSGgyVLzmlSJwmDvsDwzC+9yO+/6ZgBDZyPmCcY4pxvn4sQnfyxmBNIVrLZB39cCDGapnMDH9kVJSURJzj3dt7eN0kZrJQZVdoRYsuLkfBmbbYRvMCylGs0zqhuOrYT4fZYpmNscLyUfzSkChJI/7KvSolOxW9mRkXFT8VWaQru0UwbA32UBWtD+plnytN755TpbMazWnm4XWRuxyDCMK84s5aDGKtIWZhalVjsZzFYC9YR0Kyab13LNZrzi4u6FZrXBPk5p7FRfN/dPOUv079gW+/+Zpl1/H08SOMDyJ4ws4MLZsL06Hn+s2lDG9zISmUZlUBLqrrCvGpLTO60BQRaQWCXDtGc6p9wzCMpHwAnAijcha7jWIlW2PqSV4CjRZtIxRSpXQaNRuMas5WChQnanB3rzqtgrCSk3R5BrUolw6iulxKDojGtOaO7dUN3+Qk4sjg+OjHP6ZtA6Vk2qbhw6dPuPn2BTZGVj4wGks/RWws3N685vbulv6wY7i6wg8DpST6OPKH8vf4RceHyw5/cUZJmeurO3a7nmICWI9vFhgnOh5h8OW5MItpQqrrtxerytCZzei0WvfWafZ4VP2NkJCtQoRFr/1cZE5WLDq2NEpF027EVA8fgV+tdTpQlnNqZjo3av8g97NVOOseN+utdblemmZetfnOz/xjh64Q/8DP36d86p9Keeuv/60e9zfTeoia6WhRIpoE7b6Hkb7v6fuB8f+KTUGYG0cxiMUes0ydWElnkuaGCr/YOpgmT4wTY4zCCla4jzqIEhmwLurHC8EYecPaT2gHeKw4pUuRV5Nnb3VzHK5o9Tx7tOjv1bxhioiXMIJVOh26llLIUyIaWTyDF9pRLlFDsgWmCs6/5U2Tk0jtqxd70WophFar0EQbHKFt8CEQc5b358QPqSpCQW5EZy3W6aA2Z+kAkDSxqB5LCQMHB86TbCBkyD6QrBNb77aD0GCCFx1CHdzpKYiT+CTlHBnGAyWObK8v+ernP8eVQv70E1IsXG4j+wS3hz3bw1ZUyne3vPndl0z9SFOEZ269VLYYJwNxI9VdilHYI8aQikSoJt34vBNL7BBaDWSSi6QglX8mM8aRqEydEBqMKQzjKAr6NuF9wDUCK445McWRlCdSVkFhxetzhfIqM4N53iAUVcnCkFlSIRthMzXBUabI9uYaO4lpX/GOZ7/5LV988CGf/fgnhG7Bcrnkh59/zm/+5m/427/8zyxK4axrSMVwd3UtFt7jgI0TnQE7jbhS8P2Bw6uX7F4+ZNMFYsr8/pe/5G9//ksOQyLhCd0K37R0y5UUOSWxWi3Vxr1ojKPofNqmUUPHYyeOXpvV3l4cSIURZZ0EuDivQlInjKaaK22dw3hZTJOpHYbkHRRrSBklathZbwDo16uduuE4vlZkAHNvIztuanXLMPNiUY/a2R+P7wNbzPd87x9f7818Pfzf6ajbacyJGAcpSr3HO8/+sOf6+or9djfHo7Zt+16P+96bAlmsqVOKoK5/97NHS0mzkyFIXGXQRc9nj9G0tmr0ZYvCLgj0Ui+mykBwzhHjOC/UwBGCQK9zWWeOXYU57qbCIEKe535tYIQ250OYjbqc80chXR1AamXlqqUtQJJKuZg8V7hQWRYWjMM5L9YVriqd9WesQDTWyXPnNJEU184oI8qKEK52NgL7x9kzPlMXXy9wiBH+9jAODDc3YD3tdkfTLbi823K53XNyuhHfqcVCchOmiUPfs9v33N3dst/esL275e76DcPdLdP2jnLYs7KOqyePORxGfvPtNW/6yG4aiCbiMTQpss6GU+8JziNrk6hSrRU/nbrYZmWa1c/fVoEXSgCw4rMjF3fUeYPFGbGQEPqywg96LrzqP4pWqsMwkoCJqhfQmyZnmdMcLxaFEgtGBT65KNxijpx3inZ21so14ByuZHGrjRMuBG5fvuI//m//jq9/9wWPnzzlhz/9U87OzzjZrHlzfcVue8tNnGisw9mO84sLHoZTGpd5nXriYY+ZMpvg2fiA6QfGm1tyaOhC4ObNFV9+/YwxGYprwAWKsZKQVxJNEzSt62glYYzROMtGIc/6mduZBUQxalEtzqHBOZpGLGaCc4TgaIKw+7z1tD7QtZ7WO9rg5+e1PmBcg/ENvukIXSebt8baOie+RrO53veszO8u8TMKAKqTKe/89PdtAt994H9YYPbu39/CKP7vdxgY+p6r62vpnhcL2qbh9WvJK6kio3r+3+d4703Be2kPp36Y1cBGBTIxpqP4pRRZxIyeGGPxwVOQiiJlxUhn4sdRWFZKgXtUtOroOA+Yi2BV1h69ZuZNKWfJHaDa5CospPBWpeDNvyfIrba6MuwuRWyvLQ5rCg4IphBMwauXSqn+/EmCcnAWr8NUKntKmTP1ZqjPOTs26vtLMYJxstgbDeowwjrJ+bhYkTU3IhvGcSDGJJGTBnA9zb5njBI/is4ccimEJtAtWhn4qW6kHwYO/UBMmaHvGYc9aRrJ04CNI34a+OTBOau2Zbh8TWMD9Af2NzsO00hxAsl0zkvFOUUSVvN3BX+P6hA7F3amsmgyGZkH1UUs5UI/TLhJcO6YjlYEWRlgPnhKlo7DO6Fsdl0rJnKpIPKPQpzUTypmTWYTYVdBBYy6Kch8q5KGdeCOWogYo/OhMhcuwQeapkVMXgpxHEhDj28abl+/5ld3dzz78g9MuwOffvgheeglI8IadocdyQdONysOw4ANLYvNEn/lmQ4FZwz72zt8gfVqjWk7nPM8uHjAxekpX3z5DaYYNesbOYw9CQhNEF8xpXtbe/QxEpjS46zGdd6DR+qm7J3YQOQYMQa8F4Gat6Lz8E42RI9j5QPrzrFZNJxvlpysVzTdAlzLWByHbIjWY5tAu2gIbaDtOvE6Wy7UKlxChuSx/ZFtWO/JWflQwR8U869fr4v3vUVcTqeO4t89jhuInnZZQ8z3bTLzlPad43jv3v9m7Wb/4aP+/D/2M4X7r/H+881fKXVWJF+dx42gzs6GyqScpmn+l1KYpkkCzg4HSimsFgvWq+4feT3H4/07BSTjANUIxDRphSfDqUrLbHyYRVw4i7GyUHvjaIzHYEgxM/QDwn02xJjxXmy16+YgG48sPOQyV/4aNYIxZk5vq06RBplZOGMx2eCtByIxT4KluiCOjKVASTSan0CRoHepjDQsvEw0Fhobaa3kIjdNgzGS/jVN6gmPDCNLlJOYgGzFftsHR8nC6Om6jhh7UpywTiy5RzIYT4mJqUilbY1jHLPODSTGNKt1dpqE0SOBKZEpCQRQgCFF7S4KlPuxgwoDoBhzYVbeVihJWvmEyRMtievdHU0euGgzy+WKdWfw1yNuOkCyLBcdLRKG41CzLStmbcPQk4ym4uVC8AHvm3m4XNQiuhoixpQZxgjq/DlNYkYYQtCOzSCSdlWxxonQNIz9pMl9DmPTbI+dU8TlTIvQmk2CVAwxyWDbKCVY5jhqNa4uls55xBjPEJze0imRhohddjx48AjnnLblV/TDjuAbShy53u35m7s7vliu6LxlGSR4yRjm83i73fLs5QFDZMiRQ5pYOE8/DLx584b17R3LRxeERcfjp4/55OOP+fnPf8PtdiCWzJCTYvyFOGSs5pFjBdbJ2llhRJ8TSxSo1BhSPhqiee+Y6j00RYFJG48xSplGUtKcM7TJMVlL6RKPPzrnk8eek0YgK79Ysy0tP/v6Jb9/+Yrd0NMgeSfRgO8WrDZrurZlvVixDC3eWlbLFZvNhm65ZLle0bUtIXi86nYodt7kmJlTR3ILFIrOD0Fh2HLcNKyurHPByFtLP1Q42lRDuu/vNuTR7h/3RtfvbCCyT5h7fz8WoeVep3u/SHx79nHcIBLV2ynrXFNIJSllXrx6Qz9OXDx8wnK5EQgvZaW/C+Q+DAM5TSwXHaSRw2GHxXGyeg+RAn/EpuCM/CdnUecKdSopjCT7vXfiplmThyrmZdQr3yqMYLE0jaY2aaweHLNdKyyVFQY4HqrunRJt1yjMUo5D06J/LhXnj8Qo9M2alhaOen1RS6caDiJitAA0wbPpFixbRx72eJvFwC40hHZBKobt9kBKmW6xwDWePkYO40jUds2UhM9RupqSyeOBFEfiNDFNI77piMNEZCImGKY9oga19IcDQxxlkdfPJ01RE+XEA8YYQzaVU58xzpJyVNdXDROxjpIn2bST6hGsUBExZp4JFYS9Y3LCMLE3idEkSlowjT3OFHzJBIosmuNI8YhTrjWYIF1kypMsRvcqvZwL2SlBpV78uTBNspmLM2qFMwzGeoJTCqw7dnwz+0TjXGvnEWMUWBL02qmBN0KTtEZYOLkk7RJUo2KseHJpap8Ix+qcirlzFAaaBsaUMmfiSgNXZjacAw7bHcN2yzJ4xkVH4w2xP3C23mAojOOB290NMQ2UKHGgMUtc5mG3Y393y2K/x3QtjfdsVktaH4jjnfg66eIvxYelFKdCTyPCNmMgxrlDrW6tWSnaBZkbCP17ohInTJHfKzmRTaQJAjM2xdP5htZaLk6WfPjoAesu4ErkcIj4buLxo6fEdsUuRX775Rdc3t4wTCPJO/xqgX/dyL1tLI0NmAKLrmW5WtN0HYvFgsViwWolSYCb1Zr1ek23aOiaRtcEr7kLCEytiEEBpU7f02HUBWOeIRdmhwL9mbd+5K1Z831Q6f4Wcu/anbcX+9b3769RvPP3ek0drebf9SbSra2IfqYSM8ZhLxtDTrRtyzRFdndbbnZ7doeRB4+esF4u6fd7onbRGCvplsOBJsjsbLNasVi05DTxPsd7bwqtC4xRtApFW/wpVUaPGtEhG0IpBadDx+oHX8UyEmIjFg5xmhj6/p718DEIpMri6+5b6Yz3xTrzrAGdb2B0g6jDrULTePmwKSQ1PnNG5PzWiDLZUaM1HZ1vODtZ8+hsTRcM25vXxFF48W3XkQvs+4GlMyw3G05OTzl/9IBhinz97DlTTMSS5jhQawXWGPoRSibGRL/dgQschokxZWIxJCxjzPTjBMaSLToIN8dNDJiydFfOO4qVTIaYC3ma9CLXzytliEfWSY6JbBCoxaj5nzJTKAVrMt4kSon0Y+R27NktWnyxlCGSDluIE227pPOOzlvMNEGxuCCLWCpyTaRYQ1HkYk9EcEJAKCWpFiProp7BBh1+Kryh4iXvPc57ZQQlKBn/PQVd0RLy/uwppySCKyNwXXCijXHey0aalVWkYjDUxHGGMvMRxogFDocDr1+/FvsUdcq1rjnWec4xTglXMsl7fBNYLTt6EmMcGIYd03BgGntGzd2wCYYcsW4ijT1pd0e+ucSUxIhj2t5hc8ShTL1iKA5d5KQgIkMySWcihqKzuVIKU4nM2cB675ViyGUSeq9ujsF4Qsl0IXC+XrFadgz7LWPfc7Je8YNPPuJi43A+s+sjsR8wpmG6veMuPmN58Zh/+cMfUKaR30+TkD0M7HcHYt5Jt6hdf0kCHxp3qU6scg68l89rsehYr9asVytOTuT+2mzWLNqGzWpB1zZ0i4VEd1qPM63Af9KoCssw13XJUbKZ2VBHmOi7zKSqWnm3Y3h7Q6hfsfwxh0G6xXkDqo+mFaz26xiQ0LKUuL255s3rFzgDrXc8/eADShFyT46Z7e0d292Brm0xSe7tzeaEnDOHw45pHCB5QA0ccxE36/c43ntT2KyWvHn9RpxPQaEjicXz9zIQKhffGUeRMFvdYDPOSytblD1jHDRdIE/H8O/7/95Pi5qXf50BpBgpGIITR86sFbMtgrc5L9WFtG1FflUtfqWrsTQqdmo0oq91ntPlikXrsVPP2A+kw55gCibCcDvIXCQKtLUwSy6WLSsLpInzzhOTYbuXdt+UTOtbXNswJc9hyowxszscZFiIBptMiSlJ9WtyFjVwkcW+3Bt6y00vMwj5rOPRObNuHHM7bGdFtVV2V0ojZTy2unUYZ42w4ykRWxLeFlI/cdgNbLoVrTGslFEmEaQWp22tLXKjp5jACmTXuCMF+PiviKZyFssUhzm6iio7qMBcXFSsnDr30QYvxYRzRx+deRNBNoOqCJfuVauyHI8LaZRqqSj0FrxQjacpzzTUUmc5ddBZ1E5F6b/GqmIeJ7oBo1YQRmmi1nJyespnH33A/u6au+srzJQxRoR24ptlMc6TD6NAaPs9/e0V09USpp5tsqTdHSaO5EmyRAyayZGLQh8yNNaaed4M6v+P8AsUlJo6TmSidP5F4kIfrNdsFh3nmw0PT05YNYE8jfT7PWcXFzz98DEl7tnfvuFm3zMNI94bzlcieht3N6zbln/9pz8hx8Tvvv6a/d2NUo8hYckkvA3S4aXMNAiNVvRPch2/uZJK3jtHCJ6maei6lsViQdd4FgvPZr1itTphuVpztjnl7PSMzWZF2zW0rccHcQjwxpNx1FFiFXi9PWC+DyodvynAg33n+/X44zYEQDuA42xCqvq69CodGMswDlzdXHFze8PQ7znsdjhrGCwsugXL1YamCQKb50IeE+RM64XQ4p0IT5ddh1sucM5wd3PN9dUVpMSDiwfv9Xrfe1P48Wefc7jZchhHUsnkbPBaqaKYFxxdC2soTD3k5pX/R63kqmHckEaCc0yxiJLVSZch+KIKjLSal5zoBObIXrIVakKZLimSEEZTSXIDSCSfdAjeGoIxdN6y8GI6Z0qhNYXWFkq/ZzsdsCScTbQhMIzC98VarA20bSDYjJlG0n5H2u/xccSkwnnXMSjLJ+fEcr1ivVxwERqmWNgfDmQsCctUDK+vbrna7jikzN5MHKZReP6oECwLRykmgYkw0pHFkqmpC+LhdLRtEPsHQ5rkAhTxVh1YF6acZbbhnFp2QMiFpQs8OllxEmTDjVMiYHh0umGIE1Gr6jRGXAa8dCFTP6lwTWAaU4zCNorU6T1XCpQs0JfoBeTGTUlgEKPXlPNqw5Em7t/AonWRIuut3GHFnOvf5TMRhbQ4RMj16pzRYVwW7ULR/N9qQWKE2prVHddY8eUiJ7xrWK/XGFPY7XcMw0EqUednYkAhS3iMF+8kyWCGEAylRMZxIFtH27TY0EAEYzLDfsfdq5ecrBvWFlq3gKHHI/dBHCa5bxQyrX1M7YiLqZCHQiVGlq+ab2zm4iHRBsN6seR8c8qjBw/48METFsHRGoPNGVcy4Dk5P+OjTz7m5GLDm1cT+/3A7fUdeYo4P5HdFU+6FauwwnrD+XrNn/3oh+x2O66vL9VLCtKklYhvsD6Qi9GQKy0AU9ZirxpiQiyFfpy42+2x9gZnwfpME2qHEFgt1pxsTghNYL3uWG86NpsFFw/OeHD+gM36jK5phGpsDI0TdX6ZS5B3ZwBvM6TuQ0bvbg1/zFGJMIJ2ZGKcyDnhnSOXrHn0if1+z9XlJft+JwPirCnp3rPd7XGhnU0Cq6jWlFoEJcZhFJ83YNF1rNdLGmfJ00iFlN/neO9N4c9+8lOuX1/yzfPnlEPPkKJQO71nilHN3ISnXKGinMU6oVTKYUoCHTkLRZ0ks+QGON/Ijm6lMhTFZIWIpNsw1iIhUJW3L/OMrDeONV4w9CRLrjPQNl6iIEvB2ULTBBrnaK3DG3AkXCrYUig5srsdxWHUZrrWs16vWa8X5JzoDz39IN3CYtGybAMmjpwuT3lwuuF3X37JEEfOzx5wGAYuU2KIE42znK6XuNCSc2FoPKFpsT5QXGD78IK7YeJqv+fbN9dc393Rx8xuiIxRlbgU8hQxScRykOcLDSs4otHOiJxJWSpiV7Sj0xStqtT2TlxZnQVvC74UOut4sFrw8YNHrFtL6nf0h4mcC0tnaXwrRUFKlByJQ6TF4oJy4pMspClJF+eUsqsNjKa61epdoLRswETpCP3M2jKM4ygVPkXoldU11nimSUPs719XOkOpCVMmSz621znYlBJpnLCNVPzOiq12jomSJsHm9dotCCuoQnfOGpoQODs95cHFBf1hT7/fieuvig7TlFSFLzCjDw23t7e8fv2a1lts40UtnRNTymKjjhXatjWUFBnv7ujfvGbZBtq1lS60DcRpEF8jq6JPqtMskp9c7qmZ0cWsFKYkjrkmy3twxtBYw4N2wQcPH/P5Zz/g4w8+4nxzQp4G+v2OV8+f8/r1K25vLyUF0WU+735ISoV+LDTdKW4ldOGmXRDHERMnlssGkxOPNis+e/KQy1fPeH19JXCnERaYLUkCfnLBJvXIyuWoUbKyNKea6Mhxg8cYjCt4nzHZkqaM5ZbGv6brGpw3FEasy5yerjk/u+BkI+drs15xutnw8PwBp5uNQE/OzTOkop+XKdUBodR2+p3t4Ag7SWFyb9uYUd57aEdBczJgf9hLaqUq5muXm1JkHGXRttbSdQumaaA0jULekYxhfxjI5pacLev1BusCY0xMYy/3tarHp3EkjiMxOFaLB3TBs7/bsttt+fbblzz64Cf/fJvCB48f8//9X/8X/o///Bf85ne/xzrPbhggqbYgiculBGLLoKR+YAZRsYJsFBZhfkg2bJrb3RACyervVW5zkU0ABAd3zmKL1YXAa/BMpZQmgjJ7Ou84PznhfL2CFLm7u2OKkUXXirFeQbKCkwio2iA5z+PYY70lBI8xhdA2ksnrDO1iyQPvWazXguEOUTqOtuX09Izbuy1XV1ficmosbbegsSvaxQqMw1vHYtkRmwYL+KZhsdqILUPTMlnHq+sb/vDsOS8vb3l1dcfV1TWHXnDGDhinUUKMjHxGVkNVvHL/rXZiKSWFZ1DyLbNwb9aHZ6FwupyxFBoDp92CUAppPxCnSSr1YphSxARJOetTovWOaUpYA4u2k+dUHN5lycqwWnmnLN/LupFlZVaVXMR/PyuLSDULUtEUKkO0DpqlRfaAnVlns+Wzdqj3vXXGmBHCTcEbzczQaFWLWJZ4I5+PKUVMEEvGZPHxFx+tjM1AjNy8fk0aesHr+wFTO7ckA8NiJBAIxB0054m+HxhKojnb4NqGpmkYdj1TGrHKyppy4nS1pPOWtN9x9/IlYSw0pbBZLvAhqMJYacoVirBQTJljYC22rlaYUgWnIFGxltVqxYP1khPnWBsP+57t69dsX72m5Iz3lquba569eM5ud4sPnpv9Hc9ePGfRLbHG8/DBY5rgubu9ZrvfMwwDTetZrRa4lHl4uuZf/vhzDttLfvnbnuvbG4y1dO2S0C3ZjRNmmCRMKBkNXSrz5iC61jwXlzHJXMSHRoqIOuzPUgDlBIf9iHFZ/rWFcbrhzeUd5MRqscQ7x8lyxaOHD3n06BHn52c8eHDB5uSE5WZF17V4U8FGWeGLKcfN4t7iL1cTCr8iXZj+OcbEMEiO/eFwwFjL6emZfF53N9zc3FBKYbFY4tXcbxgG8Y+rjtPWst9tcVb9x4JnqZnkPoj2xIdWGH0ps93e8vr1K0AIMtNgGVDFecxMw8jNzQ1XV1fsdnv+1b/+p9f6994UpuHAJx9/RLdcsd6c8Ievn/HV8+fqESM3nQy7yluOjpVPm4xECip9W5wqKQIb6SReWCOSsWr1Q5k0Navyq42VoZ5Jdb5g58GgM4ZQIBh4eHrCT37wA/7sRz9kEQJf/OFLfvf73ystrzANI8YIpuktdG3LsmuZUiPQhNd2P2Vutjt183TCJXce4wxxjDTWMcbE9d2WwxAZs2Ha9Vxv78B6zh89Amd5dXPL6dqw3JyybhcQJ5aLBW3bUowhLFcsTs/4/NOP+Mnnn/Ly8paXb264vLri5YtX/OHrZ+yHgcM4cZgiUylExNIiZlEKxJQE7tDFv6R7SnCtSMWwTC3FS6RpRG+yWS54ulhwtlhgp0gcesZpIJaookRUiOTEPM0abNOIsttI1SvfSPjgycWIQV4qEi1q8uxhJTfWMdjIWiPn1GrgTpTzHTS7WyidQiQo9miW9q7sf4aOSpGbx4vYstJOrbWSYVBE1OiM9C3OOqm4jTj8pFKwWTySQpAKzOTCOPZcHvYyM3Oi/i0xY1UDkZFZxvXNLV+UTCBxe7MlWLlh+35gjFK9oxtfKQmhgIp9hk2J4e6WbBv224l+v6OIuRPVhM5Qw2oMsc6cSrUEUTzcCKPL6LlrneN0ueJivSHd3nL14jXXL97ggtd5TMQ5q0rwCE1gzJHD7Q23+x3OtqxXJ+wPwk4a+i2FyGa94nF+QtMsCE2DDZ4PH57zP/93f87JquXy8hKMYb0+pVttuNrteXl9yxfPn9Nf3pCSdgv6+itDx4cg93vWTtMKlTkmmWW5InOrqYyUIhuacYApRCumk4ZMHCZMLuybO26urnj17Qt8CCxWC5brJevTE54+fcLTRw94cH7GcrUkWFmDYo5K0a0dgtoBVh81LUr6vhefoRi508JwGEfW6zXeB2IbOAwjMWeJGzaWYZzo+57DYT8z5bz3wqxDslbmjOxsmWJmjAPrVRDo0XlCAFiz3d6x3+2YRmGUBWvp9zueP/ualDPXl9dcX99weXn9Xmv9e28K/+Wv/5r/+f/9v/LxZ59y8egR//X//Buav/sZX37zjP1hj3deugP11ql4drEG5z1tCDin7W0pRG2vrLMEDNVBNaXjhSFzAzsvDsZYKJW6ZWRjsTovsI7GgCfRmsI6BJbOcr5oeXR+xrox2Djw/NtvGadR8Oos+oiz01O6tpXXW7HhDKkkpiizktAEQgPxbsf13Y5hGAnAyWLN1e5AMZabux1DTOz6G273PWGxYuwOxFy4ubnjej8x4Xl4esq6Ua+ecSQ0gWXjWXQBnGe9bHn6+DGHITHFyPX1LX//69/y6s0Vlze3fPvmim9fv+Z6d5itvb0/DvRzzHNexf2BrWD7aTbukyFrInjD2WbNB2dnXFhHvLlh3/dMcRCxmi5iNb5SIKFqSigbsiTF2VnYmJK89iHJuZbAdzcnZxVk7mScGOtURlRVmfsZ/1Q9RVF3XH3+d4eq4uLqZofcaZqwNtSe/jgerJsDR3GadVao1spsm00Kk4bN6NA8GBFgBqCxjpxkuO6cIRern21mP45MQ09joMSJaAzfvHgj9NhsCL6Rx00T3kJwnilOHPoDy2ZN8FafQz5npSTM8yNbMXEj1+ZsBjmHRwmrx+Si70Ff+zBwd53h0BPHiZR1aG+lMvbe0HaNJPFZmKYeDIwJSJF4u2O//wpvC21rOTtbE7qOYYrshsjSNtxdvuIw7PGN5+MnT/nw8WNKhsNhYHV6xn//rz9jlzL/9j/8R6a/+wVXd3umMWJNmTVIZGaPJdSaJOYsOSRId1dnil0TBPYxEphVjBBfLFCyRusm0btYJ25b3ljGQ8/l5RvGFLn+7BNM+gld2+CDJxmJ+zUYNQlUJqERB+b+0HN3ezvrPrbbrZqCNvR9T85ZlMVtK6JH7whNQ5fl/E2aSJhKwVgRlvZDxE4yEyzZ4H1L23p1A0AKznHk6voG515QCnRdS9e2TKNodvqcyUncUBsVC27Waz788CPWm1OG8f38j957U/jZz37GxYOH/Gnb0K1O+O//h39Ds1hwe/e/sd9u1fpBbBhQSE6So4xCBveCwPWidsbMRmV1oQClj+lAzSmkgBVqYp6E2mUx8zB7ZhVkaZtCsDBNXL98wS/HA2/OTwldi8sRTwFnGW0hkbCuYbFc4ozl9uZ25vzmnIhZYjJdcCwWLQvjMXHicDjQHwaCNRz6SURSzrPdj2wPA/thYiwWGy1X8TU2BELTMvWZ7dcv2PeJH33yARNinSDJz4YyjiQz4ppWFKUMYODh+Zo/+5Mfcbcf6KfIm9stv/7iD/ziV7/lxZtL+mkkGdGF5FJmZpZVF1SpBKXSylnoosEFnHXE2JONJU0D+5sbFsbi+l5oblk4RME3GrQizpfeWpJJpDHp/asUYGvIMeuGMDGkzJhFzEdNGCvSqZQiQhtR/qKRqZmkC79TdlsV4HnVLFRtxbsmb+iwrRoESuKeDt2tLKPSpdjZox95R0eGigoNq+WKKWXuaEsRL6bGqTliycrAsjK/yHF+PmMcKWcmMsEGoQ2nQQgOOucIBpwpBAtdFwi2MI6RwxBp2gWrbsGph7ZrhTBhDSXdG4yqWBFlqsk7rHTULCLJYuR1YvEG0jiwG0bB8/MRoslRFk/rGnIxTGOkmCxkhko7xzBOmRQHFp2HceLmVp6/HzKHwdK2HYe7K65vL9mcrEW/czgwHAasD8Ro+PBTz6effcS/ujnw4tU1w/gN1/2NFIJFzkcumTxOZBPnkXBK8j4k5heWrefh2Yanjy6wxrLb7tnuD2A8KRfGUWZ/1khXuPSBk3bBwnqCb5RIUDh7cM6f/os/5Qc/+IyuE2ZPcY7GNPOsBt0QKrW1WoK/evVq1lRZL07Km82GrusIITCpuNI6R9stMNbR9z3jOIonmnUc+q2ERC2yRL6WQkkQc8Z7vY5LZugP3Nzccnt7w3Z3B8DTp495/PAxzoo41pQMDrog/lfSfVoWiyWYqsb8Z9wUvvrqS/7dv/23NG3LT//0z2gXS/7kT/+E128u6fsD+/1+VoaOMZP0ZrReb5BcE6PktQkGrtiXs/OwqWkaYcdMMjyJSRWLKoijiANowdBYh/cN0yC0vULGZBnGxkPP1WHP8OoFl+uOdrFkIjMMI0OM1PDaYRi5vLrClMLt5TVksVUQEdkowS4W7oKjvd2JIIgiplN5ZN+PYCypOLb7gSmL5iD5hjwm0rTj9OIBTz/8jPOTE7758gvuUsEvT3BdYBUMeRrZ7g40KePbBqz42bQBRhLFeC4uNizXa6Zi+ORHaz7/6Z/w8Q8+57/+3c/54ssvudlec9AhlvNhZqgI7fVYRdbsaozg6947TEns72648weWrqHTSjOnSDaOlIskpJVEGzqc95QCU45kXTyqNcQwjExpYkqJMWeGlCnOYU2gWDFjcxoqj3WknDA2Y4yTgHYV7E3lmLeboswepHKLc8VW9BqreFJWfLdGsQrzyWiHJNCkd1bnWehNf+wiKk22zi4MEoZU2R0lJazx2CLzCKdDyjRJsA9qrxKCl0V7kspM4B8/J9CJrbXBW4MxYl9BG8DANE5M40iOEWubmbqapsKUE94K3JLSJEyTIEwcowPnnBSKTTJ/WzYdSx9wpcAUmVKe2VqNDbpXG6UGqzElQsctqRBLJmOxJWNSlAV32NOEzO02cbvbEV7fsuuF3vrmxR+IceThk4esNyu+ffaMyzeXBNeyOXtANIF/1Sz5/LMf8P/5XyZOz37Or3/9a25v7+jHkWmKdG0rnUGMVKM9caoVa/vT1YIPHp3z0dOHfPzBU5bLBc44truBfswULPvdnm9fPOewP9A1DeenZ/O5GIeBq7sbfNfw4x/8kD/7kz/FegvmeI2AUXdY7UR1SG6toes61psN9sUL7u7uxITQdjhnefjwIavlilzEtHG3OzAcDpJZnhKHfuRuuyWEAbDs+pH9bs/N3Y7q4GyVUTSlyDAM9EPP/rDj5uaa/rBnc7Lh008/Yb1Zk3PSmaJ0vyE0NMHTOM9ut2O/34vtjxU7nn/WTSH2e2wauX3xgv7JhzT9yOrRBf/dv/6XXF0/55s//J7OwrTd8fpWd+xiJV8ZCepOJcvFpvzvUgw5SRZDnMToxujA0HvAWIoROGGGKozcSKu24WxzxtnJGUPf8/zZM8Z+h4SBGw6DVMjWWdLdHnuY8F3DlAv7fpQAlyI2C7fbLc44EtA0gdOzU5arFa8vX/P68g1TEmuJEiNNkEVnzCJgmmISOMoGsQwvMBXxlMkxY52nNYaTtuXi9IQ3jeCZjz/5gE3jWDae/dUbdleXkAxMBUap9nwTMI3HtguKDzTZ0kcgtJw+/YAnn3zG5z/+KX/1V3/Fr377S16+esnt3R1JBXSHcRQFr5WAFIpAJsVmipFBbWcsp95z2gROmoZgHURIk8wnrHVCD5wmyAY3esBQ07bGnCn9iMsyMeqj+PLLv5UOmmcxm3DspUO0gOI1csMWjl7wo9ioJJcVS5eKUW5YzXYwBet0sVWKnjyO0nRLERpnkTmXMYBzGsaEdpZi82DVPgIjYVHBOUqOc5C98FDy3HkBWF+zD8RcTyxZsnpVyWusFN1UsuSMFzELzDkRYyZ4ociGNAELoBB7y/buhjsapnGYu7ZUChhRfBtjCcXhsNLpWTN3zDqVY2EDJ4sljWH2LCNHvDXKRsqyUBjJCU+l4ExQrYhlzIVDP2GsoQ0WFxwkmMaMKRLD24+wH/YY+y2Lbsn1m2tijvSpsN7suLnecbsdMKXn6m7H7X7Lm9cv+fG/+FM+f/iYR//mz/nR43Oef/ucL7/6iilGTs8uOBwm7rZ36tSaSdPI2gaCM3SLlkXbwGHk+uUb4mbFRx98xMUH51xdXlOKITw453TV8ubyCm8sm/UJVzfXvHpzyWHo2fY9p+5MxH9TwgcR1XrnSSURUxSbHPUz63th+Sy6TjF9x3qzISEzscViOS+6BekWKY7ttufy5pJdv9MOZqIfRqYUoVhubu64u5XFe5rkOcU9IWCtYTjs2d7dMMWRGCdONyv+5Kc/4eOPPySniKQ3quOzdropFg7jyDQpjd0I+6zkY6TqP8umYOLE2nvaVEg3d9JQlszDh2f8j//Tn/PhowUfbFbcPf+Wf/uf/5qpH5lMUOqp1ThNQPHLVD+9pGpknQ1MqSjO6RkHGZxYf8wucM7RNZnHZ+c8Ojnn4ycfqijnjhcvt+QpK74t2oZRCiTSNGAn6TpSzqxCQDJIIjlLBVGMpV0tcF3Adh6/aCnBS1VtCoc4EslH3r+qM4uR4SROfYZihCLqVjslxstXvPiN4ebbb7i9veJ89RFdF1guG1DL6jj07MaBpuvwztOPE2nwEBqcDbimY3FyRucbpgyh6Vgax8n5GR9/9AG/+NVPePbsGV9/9RXffPMNd7stt/sdhzhyGAehYxaDNxa8IZVIyJFFtjxZnPLp2RldyZRhJOVEtJDxkrrlwAahAOdUKFGZ28YzponDdMCOEoiTi+RRRKAovVSn9EpTrSEgVbzmcd4Jtop+fqZgnIQ0TVHmDtaLk22aMrU5sAWSFYdZqZSPdhQpJRKWqOIy5x0W9b3KSSw9dMHGSE6FJj4IZFGiiKpipFo4W6sdls605FoSIkSt0o0xavNtZ2ajNfedYUVf4Y1Ah94IHp4muQZSSUzecnd7y11piIceppHWtkSj1tWIr5MtBlJhImGtx5mCzTIUDcaybjsaYygxKsNLYDZHpvGW0HnOLs5ou47buztu7m45TAPBh1koiXGi9zBRmYIW2wicmI2V/Ow08er1a9qmk5hZA2XXs+sn9vs9u11PExxLa9ndXvP7X/4tN6++5vGjp3z44Uf8d59/zL/64Yf84ldrrq5u+PyHP2WzOePLL77i9uaatnFcvnpFM4m2pJ8m+pQYdz0vbvc8Ly/49utXXFycsbu9ZXd3h+taTGjUHy1ze3PN3W7Hzd2WfhrBWbZ3O/7rf/k/8d7x5//mX4rDsTIdgw+au6Kpihiu3lyzbRxPnjzF+8D5xQWbsxOhq/c9MUX2/QHnGw77iS+//Ipvnj1ne9ixG/b40NB0rUDNuwOXlzdcXd1w2A+MQ5T1zkgmTfAO7y3LrhHmXEwEa/nwgyc8fnhBjtK5d61SV2MRdlYqJFs9rIyOZRKURJz+mW0uttcHvv7yOY9PnvLp00/xGwPjBDby4PSMzZ/+C9qSMFOkW69x456MBzWpQ1hk6llSay1DckUjGButGAXuSHGiWPDGClspZxrvODldcb5Z0BnD4eaGbyep4tPhQEAqt4Bh4QT3jKnQLhbEKdEf9oK81jhKU+055N+YM5fXV2wPW6xzjNPEFKd5+JnSRPaeEoLw8cdJ2FI+yMqpG1GjVamz4tJa9jvefP0Vrm1ZLFvGm1u++uUvGS/OiPstue8pU2QCYjbYdiSs1vRTom0b8GKbPOUsNseh2iTLK3/8+AEXZ/8jh/2B/XbLs2fPeP7iW549f87vv/qS58+ec3t5BWPExiy++W2HyxMnIfCw6VgZi82ZMavpHkY8MYBdv1dtiSzUITQzmwfEobFMWZTJVqrmUvnf+iKzWg9U91iQmZEtMqT1RmicYncx1+IUhbliEUDMGodVVpWpcyeraXdqkW2sbB5TTgJ9qOLTFClAbCWVcxwsW2tmqICUVN0spIaYkmZ/2JkCWwyqQhcfpPmKNu6efUhW7yUZZpc0KUwqXan1DoJaf2AYrWU0nsZ6ypRxztAYT5MdnTUkY5hUKFojXo9oj7qjUgjO01rZAKdxxCmtVzY4cCFQDLjg2JxsePT0Kae7HYdf/4brly+V6q3pgNZRjMx/LHbOCpeN2IpiecpM08AwTDSt+O+kYSLlgRQjxnmKdRxGuZ+GceD6+oYXz17y8tm33F5f8sFHTzlpO66nS+7eXPHTH/0pK9fxX//6r9heXpMPPTHBlAs3+53Aktaw7wf6aeT5s29pG4l8jcNAstAsFmK9niQutu8HXGiEseVkren3WxpvlUqMCkXls52JDEqXvby+YpomusWK87Mz1RRMshnkAWM9d9sDL17dcHN9x9dfPxNYbOo5TANN0+C8Z8qF7a7n6vqG/b5H12ymKSqVP6tYEsauY7Pq2KxWPH3ykE8//oQ2iHmoMYU4TiqnMTOi4nVTzzHOxJ1Z5PnPuSkc7kYu7TXPTr7h2dOvcc5ztg4Un1mv17iLU/rrK15e3tIPEh5ZolglY5xYXAAYWTBMHYAaI/Q8K7DAYtGxWK7oh5H9bqfQQyKnERsa1m3DyXLB4fqO/c0tb559y35/UMFSEtzRoelnYqeQp4k8CWe7FLGoiOMoFUDO6ukvG1c/jUw56chB4CyrN6Crm0iSpK7QBMW0HRk74+/WW23gRUUZdNhkrMWXQtre8dXf/5L+4pzOOdY6mLIuMCVDP4G1DclM+G5Jtz4le8/2MIBrsQFyidhiiMMgN7oRv/vN48c8evSQnx5+zNX1Fc+eP+cXf/dzvvr1b+mvbxnuxMOoW3haB00pLHFw6Mk5EoeRfhjJ1kHwROqMhdlH53A4aFWlJAH97I46W4lSzcjwuVinOhK1RIeZk11MISbkriiOYiEXDcRRFlAV3gF0rZ8XXdkU7DxIl8E0iu1r1SfwuAzw1FtJLEF0DoJ0HLlaVxiZc+UpkWLShD5zZHBRpHvK0uY6K4ZtqOqc+pqj3NgFxO6dgqsqeyw2eJplR86RlEZxrShAsXS2pQ0d1rYE1+KQAkwiW6XPylmMB61zuCJmk8ZA4wOLpsFTmIYenJt9xKxz2gVIh3O732NfvSIaJ+FHRSggwxhpGosrKkRUYaoM7NVW3Gb1FiqqJxDfrIRakOj1bjT5cIziLKDjLKw+z8vnL7i9ueLZN49YbdZcv77h+Vffsr/asl6esL284dtvvyHniTSKrmbKmSEmpixBU2OccNbQ9wdIYgzng2M47Dikci/RMBFLLzC2k3PtyCy7IOriLMXFNEWut9dCc3eOvh+4ubnl6uqGYehx7gvcD380f89YS0owjAOXV9e8ePEGMAzTxO1uxxgHDkNPKlsOfU8/VBPMiRgzzniCb8W0swh8ldNEaOQeWa9W/OiHn/LB44ds1h0mF4I1M6FD2JlupntnhTKNMerqYGaT0n/WTcEQmIbE65ev+fr3X7BoPZvzjuihNUvM8oI4Ji5fX5KjMgUU45w9aowj26J0RKgqwpxhHHqsdXSLFQ8fPaZpO148/5rLN2/Y7m6JsceVjt2tZXf5irjvaV1gv9uz227Vv6jQOUtrJW6+CaIuNa5ht9/TDyPFWrqmBX19MQrlr1hZ0I0PJKWNGWQQG9oGbz0eEQTlKG4uzorVrySGGXwQD/txnCR4xlq60LBoGlzwpCyL+YLCdLvlahhYtQvcyRl75+hL4eKjD3nw8WcUH8jDgOvW2GaJsYZuIadr6AeFrxJ5GpnGkZINbdvRtAFDoe0annz4hKcfP+XzTz/m6ptv2b58xRe/+BVf/+Y32Dzii8xJfEp47ZbqxZQRmCQiFW1WV1OBZiIhFKZUZvsKqUYAKyEvrhGmkMSdOqIK2KqlsDEqSMpJOg0ruH7OleKqdhNZbMTrAHlUSwCo0adGq+aj/1Ut2yXMSeEbYyTwyQp331R2LUIBNEjxaIwEGyYSxQhDzninQ2IxOiwJgbjEaEuuo2KIJYl7nlbvlnubUM5YL7kSxjk25xecXpxhrOEwHKSLGAU3HpoFvl2CESsMg8Fj6KxjojAmGe5ntecxCmXKiNlQXJztLRKFPo44Y2g19W8YDzoIndi9eM3z15eis0iFWH0ejGZOWCtsmJhIpuBcUfZYER2BEcGcUffZMUbVcTgs8ntRF+1ijHg3GaGVupLEMPJupB8O4uszwTQl/vrlDcEFuiYwTgdSTGoPb3ChZYoT+3E86hkwWJNn91RRCQvkl3IUAV3jBQFIkWbRYbwj9jsMx86TUtjdbfn22+fSWVhBDPb7A7vdjsvLK37zm9/yi5/9PefnF3SLjouHDwlNwzBF+jFzdzgwDNJF4jzOwHTYs93uub3b0g+TzMKw6tElczNnHSVlphwxZOJU2Jyd8cMffM4nH33AsvM0TqBwsthZpJSYyohzgfuZp5I4KQVqcAHvraAO/5ybQrGObAp3d7d8880f2KwDT5+eYjvPob9jFTztNPH09Jxn3Uv2057sLMnYOWs3myQMoXqzKbwSU+aw29OPI4fDxGp1wsefnPLwwUOuL98w9HssEWcksez68pK471kvV6QovNypZFpnadqG1ovKedEtePLkKR99+AmXl5d88YevmGLCWKebkrh4xiJDvGINrhEJfANM04gtItqSTU08hYqxZIWVnJfdfJoiphRWy45V19GGAClhcqYN0DTyOaTk6Jxl3bWUmNjf7ri72nLbD+RFx5+cP+CzswvccgW3d1xdX3FiAt3JhqZtFR8sWGcZ0kTbNcIe2o/EpMKjUhgmwafXmzVPPnzEk7M148dPaQ30Vy+5e/GcNA2UOJGNIUapJCUZTgRN0Um2cckR6+WCNUYuLqND1JrdXFXnxlisl/lPTlHYFMgiYK1FGKXanudCjgIfiuunURfIeO/xZJEqKnSTICXtWkCjPadZ0Fapqg4z6xGMQlhFrVdmBYTSFcXWu+iMAd2YVANjJOks1QGz4vJFufLT7OGjZn9qESrOrIGCZcoTqUQMDjKcnKz44LMf8PiDpxgNbvBdQ397x6tnz/C2sHx4xsn6nKfF8cWuZ9oNZO/p48jdXpgqyVpiEiV2UHiMFIlD/Qxk4J1T0plMYej3jHGSZdAKvTaqVYg4ijpCI3qPHGUxLcbigqdRGK4KtnI65q9jUOGkPF4/DOR8hOaKMQxTxFIIxZGtwXoxjUxxhD4plOsxxWGKYyg9B2cpecJ5Rx8z2VhIg1hhZMPQT/hGukI925q9XXDeSIKcxpTGmLHO4HyY5ytjf+CLX/2Kh48fsz47YxgGbq8uiWo/PQ6TUruleLm5vuHb5y/44nd/wHnPYrlkvTlhc3qCDy3tYkkxHuPB4uiMox/3jFPkMIzkYlTtjjoVS5ZJyhGDEBBySnhn+PCDD/nxZ5/x8OEDCSlSaDDgSTHLeXVOWTmiFeq6lqbt2O/3kr2hmg/feLz/Zw7Zsd4w5YlsApeXr/jyd5mzTcvjpw/Y7be43/2W1XrN548ec/vxltvf/p5SCoNa/lYfcWft7NlTVZhjP9Dv96L6mwrffP01zjnOTjY0oRGOerGsF2JRMU4T+75njIk0ysK9aoJW6lboXxmKFd+cR48eslws2G53bLd7Dv0gFaWRfOASk9L0pLU3zs/GXNVXRCyW5US4YmjbBbFMCFNfhqvoAHS1WnJ+dkqOke31tVxQQw9IuIz3hsWiY+hH7vZb3lzecH3oMasl6de/4fwHn/HZT/8FKWW+ffaCvp/45ORU8HcJHsY4iytiBx6MIeTE3YuXTLe3rNYrrLekMhGDwXqPKRPOZR48POHB43NuXn1NP+5lFQsBY71QSauRoanWD0VMzHTxE7TvaG1trcd7GKYombxObHrHfsCiyGCOGNSy3BjpzHIiRekanJFKLyfpQvr+gLFGGUDC+AnBQ2G2NinlCFUZql9OnsVbqXYLxpDVA6gOuJ0Vz5kSI8HJEFxuRglaylnYQsaa+RooBi0ekNmHVwdeI6151JmJdRayLE6pqGo710pUcPlsLGMp7GLEGvjgo49YPn1MuduyOTmjn/acf/oBzcVDFj/+KWc/+ilfPHuBbxpevHzBL3/1K95c39Crx5S3Rvy+jFC9TZaBbHBO/J0yUBJplDlILgnjA5uTDev1Cf048frqinEcccYSmkCOBnLU3HHHcrlk0TaklBiGXuYgpcxxtaC03zoHKmrmli3GemKSBRArKvwsbAWdQRV1KlCNUxIqMMXgizDnUs4kK8re6geUi3yu8vmqKaBhHrDW6t8rbGatqP6dzimNN5Q08bvf/gbTNHz4yacq2ps4jD3DMIjWwHth9Oz2bLdbhnEgFxgPA9t9z8s3V9IxWYf1oup2PshmFDzjNLDfH2QDtw6LODPkSTYCp/CqZFwUgrd8/MFT/vs//1c8ONnQWLGi8cjcz1tLdk6s8JtGDBkxyiJL0IIPgb6PUszkxGLZ1e37n29TSEYGIHfDFtKBafj/sfZfz7Jc2Zkn+NvKPSKOvBIaqTMpkmSJZlfVCOuX/sena2pKdFmRVSySyUwgIRK4AK46MoT7VvPwLY8DvkznmAG0NKYA7j03wn3vtT55z/31Gx5dnlHygbPTE957/z1+8pOf8t7lBY/PTjhM12zSyK7UY/Z/a0s6aqTMhf1uy/bqljZnQodWMof9nsN2Tz875fnTpxzu3nLY3hA6jCkyDmveztfyCPTG2bgCs6YrAXRJSXV89fVXlCnjQ2B7LyeyMmF0gi+dB7V3ixlz1qw2UVsnhWQQiMdVk0EaJFCbDgrvIfhIqZX77RaP46ycKpUzKsCt5JkYo168GMkdCJFDqdwdJvZz4VDvuPn095Rx4K+ubnj/+bu0w8Td2yv6foYhsb+5odE5Oz9jlUb2uy35MBEPhdVUabtrdte3VN+5ub/m7NEZFxfnJGC6u2d79Yo87zjUiakXUgy06AnrkTpnmYZ6N1hCUEGt6jNovRNStHrMzhBUs1pyO0ZDdN/pTUqJhfj0C0zTdWgVoDRtWg1tD83DQvzGlI6lMHJkB2twiwSf5HuxkholnNrl4CzGGkl6S1nkpl7MgxGjzfljBhPBm3qjQi8Ui7/uXqqIbv9c7ZWKNuYK5IUvMw7BG2bfTMgg5Uo3aEXbQAbKnPnDty95uzsQx0QPnl/88hf8m//bv+Ps5JTcOm/3eyKNJ+enXJ494q/ffY9f3e9ppTLt9/y3v/kb/uN//C98+fU3HLrgzGAXQz7s8THqezLlUcuF0iuFBRaDVRL38LOf/YzuAn/7d/+Dt28fOg6GMTLEFd4LclGFJsfcqmCcnXNqcmtNm4VPCVf03w9J+T5LkPpC5tZW8V4ZXQ4Ykj/Ckr0tJr2Is+ysFD2kqNTew0yb56OxUVtAMDFKplWLWk+REBzBtrUFxirN1Gy2vboQqDlzuN+S9xpGSi2UaaKVSZ6QJke5VNCKvs61qTulalBQ8msnd3luFg7VBRkvO9aHgWA58CZ/zeabkZpos1rx5PFjfvHTH/HO00sSkGgEKj1XhmFgjInmkaozRuaGlEW+sc9SG642G27ubul0Ls9OGcfxuE3/YJdCyRMuePa5kNyAn2D34htev3rF2Xqk7A+4Unl8dsbTH/+Iv/yzX+J+8ymvb7ZUPPsySYHRKr2o57geZubtnnrYEb0UD91LXZKnicuzc3703rvUwz1ff7Gll8wYz/UHDIlaJylijCBzSCnQi6pdOEy0qTLd7UhDojSYp0LHM6zX0J1efu/o3dsBY2anpqmU3oVPhkCAI/Sg6dHyhJzC3GiNw/7AvJ3I08wQo6a2oOCvMhdKm+kuEoYt3kXup0lJkkGHaCuVl3/4ir/PlelHPxaRFSPbDz7k/MkT+qR4grYa9ZJVubzHLgNLLY683bPf3XHz8gWvP505PTvl4uyUIQTy7Y2SYVMgU9XjGwJxHCldwYb0WUU5CCZp9iBLD2Dhcw5A9ZlTlqrGGRwh45Me8JPVCJZh5XzAxYG5Nu6nTJ1nuo94J/1+LRnMZOfNGQ9S+0SnmO9uXJRJmwQLGTe1RAkvk+aSzc/38pI0iZp7dunaaNhmqAA22QEstqNjMQtdjXJORrqGYBWa4kNCwFr9FmWTM37DPAtGeNfumefKdHMHwTGerPkf//Pvefz4Eb/+1Z9ScsbHxK4UHvWOi57gEys6t1fXPHp6wb/9t/+LIjb+z7/h6vqO6TAxHQ7UWcRlq5XcOzF2Ws2WN+agNYaYGDcrHj99wur0jHm/gziwGkcl6HpIKXKyXnGyXll0SDMX/0wIjmi5QlBF6psZsdLo3bB8ZwIf29iis7wmOB7czTYvfDwKBXpXLE6Ka3xIdBo9dHpwJoN1lmSr794FT0y6FEquWPKIns2qLLbWJYnIuagozIGLnliqnMjDljxNtDmDs8spTzLCdsQf2WCxbLKH2o4XgiJ6vAbL2umumbjRoWItG1xMdYc1LCpyRYNS651xteKj99/low/e58nFCQmrDO4VXxXmuRkSKXimWjhMM2XKhHFF9IHt4cDN/R21N06KonwWf0t3gsN/0EshWbZR63DfKzl01i7hCoS5Ms4FQqC6zriK/Pqjn/P0+Tv85tMv+Pyr7/j2zVvmWqjzRMmF7GbaXHG1ExepYIysNiecnJzQa+Nsc8LPf/ZTXJ2YttfcvHnF7fUtu9sdrXScE9G4GleMaST5SLA4B5xihkvLZK8Px3mlWDa8Yc/Yy+1M/SRizLVGzWosqk0Thk8DPngjcKQ+UhQCplBRrk3Nika+ubonBs9qSGw2K1KImj6Aacoc3lyB89xst5QuB6pDQV7lfsvVV1/z5W6PC5Fxs+Ht13/gdDWyDoFdzrRDgVHmwOA8N/e3lO2Oy/WGdQzc7Xbkqxuub96y2wy0p494dHHB2sOjszM2qzWv82uK1xS3z+p8rkC1EDI5PD3Vycbv8MdsoRAiJc8ifkvDRxlunPNy25aKLxbh4dTX4KPHJysDqUUdCtgL30WO1SI9r1+I7xCIBHqFNjdqr1KTWIJpYEl+XaKvBROJLhaM0Uuju0ZwnoDyi4agyI7eq2Av53DdH9N9xVfrIsi1Up0y/nMWB+NCUFRBcEfZsusGTbVlqpDCpdRGbkaEl0JwUqG57qj7AxfDKdNux8tvvmK+2/Lux++xevQUT7Bco8pqTIzPHtFa41E656//13+NTyMvX73lu29f8pt/+EdKPzAOA8k7ktMAFlA+0NJ6l2IgDZF1iJxvTqjzzO3NFmrjZL2h9cJqveLs7ISLs1NqqWy3O2qZOexV+qI5tx35tG5VksFIUDWtQbfUJu906PdmbXrO07KiZLozt/gSSRIj0Uu62Z2VQ7VCyZneI/P8z9VQzj0cvs6pbhRzs+OWwEgR75PlEoUUJDRwFWrj9m7L3fUtebeXcKFl6BmVSC1KOqAWesnaHqM12tVmCi0dR9uwzQABAABJREFU9t7Ls7Q44Z31hHhvcDnieOjaoFz3lNxJAd5/5yl/9es/43wzQs2sAgweWm4EOtFJ7h19JIyKKj9k5Ve1Utnv92zv73ExstpUNicnHPZ7rq6vqGXm/Oz0h70UxjgwzTPNOabmKRV6VAxFTJ6TR0/59b/+17z30bu0wVHnPR+8/4yn77zPu5//gf/4X/8bn37+Bff3d/ZiRA0aBTZDonRwIar96Z13GDcn3N/ecXdzy6PLRzx/9pzD3S2H3YF5P9NylQ09BEJIBAKhO1wBqpRAC5Qhw9yDiakcMd9GLcrm6SaXoztKtu5or96BwTn1TBs+W3uzJizLRGEh+4R3l2XCqJ35UGhlL1FAKYQUcd0ZJqh4ARWmy5NBhZArrW15c9hxcnbOKgZuX77i/tFjiIntfk/wkWFYkcJIS43bNnFz95bmK883p6w3K4YUOOzuqDmyHwOnq4FHlxc8e/qEp5ePefnNS1pu5FA47K9F8hqe3rteesdD4Fxv6ikAiKaBrzpRj74JgOACJ+tTkuvM2y1xUay0os/GR8boaD2wy3rp1YesCb71RqmKEglplNu86DJyxu/0pm2kO8URCEqy3KcmZZitALCs/sikRm20rgjtbng2fSn90SGjHKVGD/ZsILhjrlXTbfXMvQgiEctKNec12EFgIXmlW6JtVbyG910Kvd6pc+HsZMXV2zfU7R3MmRbgvcePcZfoH3DaaJ2X7yGkyNN3n/HLP/kl77x7z9nZl3zz4gX3qBdj9IHkHAOWrxS8jKNI4LFeJQbn2N3cMuHYVx2YvVdqKeqLiI4hOFP37eTwDd4OcpW4eAvsU09ANrWhDq22JIrS8UGfrXeeIenKzq1J7ddRp0VXDLu8n2UR8Cq11VVyUXxKq8Lgg1tiUPTdLoVby2anJTNQnV5sSXITjSL4sDeo2ixq33P99ort/R2rVVJjpNOQluKyGQvyHgyu2ldjE+3caF09HUtoIWig8mEJ8dTWYj8lvS8lYZ0YPO88f8KPPv6Qx4/OyNtb1imxHgPkgqeRgjo38qHT5slIef0+11dX3O32NO85O1NE+8nZKd6rKfH+rvPixQvuTk/4xa/+9Q93KYSgwKtmius6Z+72E5voGavjej9R08B4fs7t7o7pfsezi+ecrjb89KMPefXqFa9ffsf27ka4vofQNX0OPpK8p3QIvXG+WfH42TNW65EXX39FLSJqOv4IDwVgjIlxSMTeTEXj7VAoSqJEcc7FdL0uKGunVrHxwgs1HTdt19RiVaFGOM5NCY6L7E7uVPX8uqrpk27GHhdYzqJgD2NrjdK1PicfaFWRA6RErooZiGkgjVZYNM+0ru3JtUYKnl4yL1+8oLXO+uKCqUj1sd5siEOirzcMjy65v3pN3d5xdnHBxUcf8LTOfHv1muur14TbyKPHjwjBc7rZ8PGHH/PN19/y5s1b8mQyT28blP1fM1VWaYWcdSkMYSDgyEXyzCUKQ3HoBc8D1JMCuAq9zjrUuqflDEkkaCWQbfOolobZcUcncM2FzEy3+ArlIFWm1mSKck6ZPn3xSogbqK2qzN4umWAJrn65uLy2EsEp1s9RiqAju+ibPRfOOyowt0pundJMcVQyrnkLLvOEKF26L1KIeCOvc5EhqfRg/JOI7WpTZmuFm6sbPv3dJ6y942wYmUpl9eQJq9ML/NkpDmcFVdp+VEkaeOedp9zc3nG3vcW5zmo94nNlFQO+VMYUJKPOmaWIqpVKmSHHmUOduN7tuc+Z+8OeJcAjpUArEzdXb8UnzSbNtr7skBJDjPJYNKkJFzhoIfFbX1zc8gf01ghJSrRubvIYFa7ofKc3Tf21aiALUVLcXCrN6RDVnKXgxEAnWGRO61IB9i4iXeKQJJkm7nhIW3aOvDFN7l89uJ2r67fc3VwDp6Qh4KI23DElqtOmEFJQoq69F5WlUGcxuMGClzlTp3lz+bMIX21j7LUTvEq8fvKjD/nLP/8TLi/PmbZ3lMOedfS0PJF8YFiPUKvqCTrs7rfi7VJkN2Wub+/IrXJ6cYkbEqRBYo88EYLj/OKM7f0tN7e3f9RZ/8fDR+vE4AIdz3Qo9CI9Oq0xTYWvv33F/+e//A27VhlOzji7eEKvwrznmzdMb77jxHVCLupkptHjgGudzZCoNXMyrEj5QN/ewsnIevOUQ5754rPPePvmmtv7A3WeGGLjch0JAaKvbJxjFQOuVaZ2EM47d0ZGxnFFyctDukSfVZyTmSbTbTqWZLS0ZbLUoV5rptmUNBp55x3mw3jo6621szsccB2GKFlrzQXwVoiRFanRFX5cpmLa/cpqtWbYrBnSQCr6eVP0nJ+fcH5+wTisuL/f8ck//oaT83MePXvG4WTD3XrFxTvvkMaRdz76Ce70gpvXbzg8esTF48e89+w5/vET/u7//E/cfPM116/fchYiU+v45Hnnw3e53t5y2E94L/4jxmgqDtX31d7pzOqcRhLjglfmDh1M4inxlaar1WrF6eYE1wtl6tQmnb/zgU7TZ9qrvpfaGLw+18NUyPaZdbzUSLmyXm8IITBPky4XJ/dxXHgHg39CDIRWmKclIdPkrLURQreGOExeC84s9tL0i0R+SOsVOTjXSnaOXW3ss/Kcll5p19Vuhrm3XRf53H2l+2SXS5dBKQVrFTSIoRTEsMNcZ17Orxld53YYuSsFf3nB5BxPPv6Qs3eeS1NfOzEkQtBPeHFxws9+9iEvXnzNyfmafZsZB89Zisz39/RpTzkqoOBgB+r2UFiVmQLsZjmCmymonPeEpqavOqsK1XVHypViGy2t4l04bmsOq3kFai94J79OrVUbPQUfIq5VynQ4Qj3QVNnZhdkHFyF5KpVdmQBHVUIh3iVCM8gHhQPWUmmhUQlsD3vKPCsOPwRcUApAR94iWqf2QEGwXfdBlbR2ps218erqFScXa1rvrMIg852pg+IwUujcHLZs5wOlG9/UqhU5SRHXO3ivy6fVLo7Ue6Y8E6I7DlLDELi4OOMv//zP+Ot/9S/50UcfMO13fPnZJ5ylM85PNqxWgxIRchHfZkmtYxrxyItRpopvns0w4ksnDp6ctVXtD3viMFCHRBoGTsMxQP6HuRRyVTyCIpI7MUBygVAd0NjvD3z25R94+uF7/It/83OePH1Otf7iF7//hO+++JT5+o6221G3mdID6Vw9C6Nz+DiQkvL2Yz7Q91tef7Xl1dVbXr25YrvbcrjfHtfhk9ONFBetkHAkjzk1FUTnnGfE4V0kRU8MzpJZFRpVeqfkwpwrc3c0gvXfLsSl/tyLe3ZumpSj90TvGWOU4atzhE26kZ45z/Qej96G1utRutiwgwFH8JrGpzzDfiezTIg8fvyYi/MzeR5OTpn2E87tRCRPM29fvmS323N3d8vPUuLk3XfYrDZ8/OML6kc/UppnDGzOz3h/NVBa4W/+/ZbXd1tW4y33hz1Xuz1TzpydnTNPb3XxDyNLdo+iJmR+UjBhk5qmVsiFYJk43qkYprYq8s6eEfEK+Wh68xZ10n2gIeK24xhihJAUFWGbWjnWFeq/rFkHR62KTQ9G1C3eF+e/L1Ft9MXjEKK2RdPhB5uwa2tH+aLyYoR3N0sXdgYl1VaZe+PQYUIGte4DPiQWPCpGb7JXZRUEUyMtkFspAhRaVVF9a1JVLZHVgSYCe9lUSiUd1kfcfJ4mpv2O8fz8eGEtjuYQAo8uL/jX//pf8O2Lr/li2hNKJvhOinA4ZJHutRm0JRFALZm53RPXK1ovlle0fN79GF5I95YM0BTB0AtEz+A93eK3e9NFs8RuOBaiXVuaUmktlsW+I+ssO35Xi1mx1kKempHIigLH67KorVKqXcI2fLhmRVEpmhqwPeD8NLylBtdSFDkTPK1Za5/r5i4XRLCfD1zdXPN8/4xHqwtSGvAhUByMmw3bXLi6veFuvyM3uapLqfIB4I+RGHLqR4valsCgmgLN+Yin0lrh5OSUv/qrv+Bf/eVf8O47z/C9cX9zzfnJmpOwZkwyvbWsbVMChEhz7qiz6E1c73oYxHHQKXlmyjOlVXbTZDztinlWZ/wPeilsp5lUG8FXes6E3hhjJC24WYgMqxUXj5/wzscfEc/PObz4A999+zXfvfiK+zdvqPsZP+2JueBD4mxwDMmzCYlVUtlHw9OnA/nujtvdjqurN8yHCXJmRSfFKClZa3Bk9TutKh0yxSQFhU3r3TJoenfkedLD2Du5Q8lFE6PzJn00rNEmYNB2GVLEstDkXbIXp3uOBNOCcYrfsg6AmOhmRQ9eD0wAhcM5Uam1CxYZxhHnvDKapgNn/ozxZMO42bDf7YkxsV6f0FpnP01sb2452Ww4XN/IbOce4dgwrFewGk3llUmXl1x++CHPf/pTXn7+Ga8PE6103ry54nA44FxgtVo/lNS0Jixdb7gR8FbdaSEtDh3OvSimG9ftpQh6mdAhWS2XyrtlA9PhNOXC3LoZwALJKZ02uAjdsd8fKKWyGkZVEPpk3cZFh3gIEBMhDpZ46hQBbrzRwkvUXBWmiEjXaZp0YHsZrTwOlwuhmSlRwnqWSAzs5SutaaPs/gixYZuJ98GITSO9nT/CVd/3ddSmz2zhPBxeA0zXBZyw0LImR/BHH3zEh7/4hTB5K3yxIA1zZ0sm64Pn3Xee8b/9P/8f/O7JJb/7n3/HdHdDaYWQgprzSgPTxuuATtTeCN6zWW2oLjDlWRe4bjR7b8Dyx1mqT2XQMxc6FnXeFsmylHaq27UhoC9R5v0oYXVhwcP1l/wN5lmaZzpexKzz+KBYjmNXBYKqUor0vkB0Jg7otny1Sp93BFcefm8pGXR5dMmRHYGIJ8UEvjHPmd5hGFbEtMKnyLgamWvj25cv+cPX33B9c8+cK7lDKwuq0I+/vzKvqqJNnN4bH2XeO+x2OA9PHz/i3/2bv+b//u/+Lc8eXbIaEr5lrpCMesqZfJBHyKFNgabUBSOH7AIUdLmxn9WnyGQXXM4zKSmHKk/ZzIkPn/kPcilMpZHrLKNUb6y8ZxVh8OozHs9O+MkvfsmPf/kr4tMnMATa4Lm5v+bVq++o+z0nIfLu2SmrMPPm9h4/73j6+IInZ5f43rm6vub2/p582DHd31Od48RLHdSKqvECyhufs6RvQ4h6KbPIPbrZ803yBUVfTmkUKkswVEHwUAy61XXUSW2wzDE66AyGMBJtCTyby4xz3rYPqWS6x3qK7TZxndLVwSvFi2SuvXVcdIwp0ryndUdaJVbjmu12x/XdLS55NmcbfEzs8wwW53B3e8v99p71ekPZn3P/+jXb21vS/RWXH37A2C8lbx0TbjWC7zz5yY/5qxT55PyCbz//nN3VW2qDu7ut1D4dYpRLuZRip6ZFkeAp9vP3ZgYdbBIKipgO1g0wDgNDGsWxdEtCNVmnuFj5Dw6zJJMuJHrNlFwZ60hKI6frFStrsIppIIQkArhUXK2E0Om1mIQX6Lp8XG/4JMxdEFhfTNEikY23wCm2Aiyy5DDjqzwXq81KrXXVMOBl8ytZcehOQXCKr9Dlv1TB0t1Rmy7yHVPUKA4C148Xa2tVOTcxMB9memt4L8Kx0nl7dcV/+Pf/b/a18vO//AsNDF3OepV3mn/EuixSDPzZn/2Sn3z8Pj//6H0++81v+Px3v+Pty9fKKQpN78XiqbBndp4zw2bNahg4TIpOiSESnLOtWYFq3gxt0Tm8vT+tNXzw1inhBSY2ZxuwezCRWnInBrU4j356g4X0702m6fRZlWpNZ16ZTFiRTcmq3nSmgCJILTbXctT+N/wxjqRSiHbEtV6tEAeTFcvk6HGsNidsYjci2uPCQBhWhBS52018/tUL/v63n/DlV99xt8vkqu1OGyo6nJ0ynhajI12KPe+9PASuE214ee/5M/7VX/6aX/zoQ1MVwe3VLaugM6jOs2K8rT1NXqCZWtXc6NFwkWfFw6TVyGo9cH5xwb5U7vdb7WBOzL33Gra2h+0PeynkInWID44xQPSdQCW6zma14vLxJR9+9CHPPvgAt1krm34cmJugJZoKcJ6cnfHs2SnpxTdMNeN64XQ9QuvcefBU8mGm1ZnmFBwWaiX2RhoGrYZzpitFTZJDMzARAyVblkgVBOTFNdkBb9HGtYIFSC1mJyyqAOf04HZBFwr80gMkiXEwyaTwuSWYrWJ69mKZM7Uy2YEkaVyD2owD0ss1jCPjamQ/TRz2++MB1Ggcyszm7JR3332Xkmdu395Ay+z3O/b3W1ouvPkmEGojrVdML/7A5XcvefLRB5y884zV5QUxbGS8G1dcfvAhv96cstqc8rf/4T/IPV6WSDtTgCxEn+waMmi5TEsDzkW8V6x5DIHovL38wvZjcEauqof7+Aubykup1o1cO6U6u5SlhqmlMvUJh4pahjHJ32Cmo2me8b1BK8x5Vm9C8NLguyjMN6okJnRJFVu3Q8siChruSPJOpai4p0oskEKAqIwbqrqgFZOtn39creTHML13M7UZtdpE3GwqXqDEh6pQZyqRWvWzi1TXwJFikhqtSfNf6Yobj4Hdbs/nn/6eCrz/s5/y7Kc/BovEaEgL77tXQVFrkAvr9cCv/uxPOYmBw90dt1c3yvZqHdd1gC0Jq60ZJOSE2y+bwTKJaz/0xw14iMrykslKCjxtlFZA4xwpRuuV0D/furZq5xouxocUWrBb1XT7mIQUJXwqs2iBnDhuKeoD0AUs9Zj6s/v3FUfOW2T7Equi0iav6Y7eu7XJYe5qSbJPzy5YD4FhdcLq5AwXI1e3d/zjbz/hky++5OuXb7g/zOTqaC7agLg03WkAArm/g48cM6FQRlcuGe8gBc+j8zMuT08JXdv83faON999y2G7ZQgOt1ZApmiXRrGUXZCxznWZ1eaS8cERXcI5nc0ecb2zJaT6oCH57u6eb7/97o866//47KPuZIEPgTHB6DtD6KxT5GQ1cH52wmazkgqgdViNuM0pswuk9QnDuGba7nFz5WTt2azW5N2W+TDx+s1L1uMaFzynZxu2uz25VkJShLayklBoWKl4lAo555k6u+PKOwwDwVkqKc4khcKP9bxYzaILdP9QhK4/oD0nWtj1zy/4AQ+8wRJZAA9qCNcUs1wNe31YtXVhJHN2YrK5Wgu5d4ZSGL26XO/3e3aHvTKUYuRieMTm9ITN6QnP332H6CMvv/6GaZrotTLvD1zV17hcOLs4Z+qF3c0V+bDnac7M04Hz9pSwNre3C6zPL/nVr/8FKzx//5/+I//4d39HybPZ7Dm+sM77h7RPOt0Fi47uxEXJY69Bq9XKWQLznPEus0rp6AVZynZqEyST8XQvU2A17iZgqi6AVqktM6aRpZApAVOr1DyTkrKXYoyKYWgOvCfnA64tcRUVndrKn/ExKmOraWtrXZBQaZWAlGHNI9WLdwxxYBxHWvD0Utjeb+Wh6M76gPzx+9XzILw85yr36pIEacBvKwZxLmotU3bhHSmOhtHPUGaG9ZpHT57y7OlTVmng7uqaL373KcPJCWfPn+AGm+S7coNcq5A1cNT7PXm/53S14uz0VD+jTbStdFOMyTuQs1z/U80qrsKa52x4cShp2BvMpq3MLg6tSag+VbWgcUgMKZEnGUoFkcnPowugH9+ZZlH0Lkhqq6HLPjPzHulR1OcFzlrYOF6yS4NdN1l3qbYYdl0a+rft+Go3e5e7GSlxSwpBY7ffUy/PCWnEpxXdJ16+veHv//E3/Pb3n/H66lq1sgQzq1n6aG8GX/pjZM9D89+DksoHR8uFYUycrkZO1yN5d08vM9evX/Ldi6/ZpAFvLWo+aLuYp0m5RdGqaIt6mnsTzFRLxXdP6pXDPNPvbpmrfDXb/QEXEsHDzeu3fPrpZ7z45ps/6qz/42MucmG1HqE38jTRx0BMIymquHxMEVpj++YN548f405PGZ++w09+9Wd898nvefv1S0oPbO/uuZ0r1/c7plq4ur0lhMB2b/HXwdOs1IZWCSmR50kxA3PWdNSaadG1suVa7cuJpDRIldI6vWZNCs0MT6gprXWHI1CaAvq6M+OUkaqYLFMLhIWLBZVWzFOW6opu+Up60HWJ6D97p6l1KZKfi1JTK02xA9ql2e12VDppXIHpvad5ps+OVy+/42/+9m+5+fE1l6fn+KB4gJgC2UOdZ8bNmloyu9tbUhJufvviWwA22zu219ecXFywOT2jTTMpDgyrE37yk58Ttltu37zl66/+YERsNqJMl2WzyyGGSHEi171FQPdFY+66cYoyZzlr1Gu1sF6vaN5R7TDKrZFb1oUQk5RFbYFhRMrmecL3KheyeReqVaeOKbAeEsU1xhgYV6MIuJKPL7/C16DXYtJTQSCLHPWB/FXsQweLoHDy26DLaz8dCDExrtaMMRIOB/ps5HOtmsqcp1uhSXBLKCDkWggelRK1RimzyXa9HVT9qKVnnhnPTrk4P6flmf32lu48h8PE9fU1znlWqzVuznz9yWe82xuX7z9XNHuz9L1cmK6u2V/fcHd7x8lmzTiuefr4iUygKDTv5vqWeS4SNZiZs9igEsJSdORFuqMNSB4cHe6tLOIDcNHjnArnmynRPJrKl27sEBIpeQ7zrOm26S3BOesqqWbY1PC2rJa9N5OUqvfcO8m6vfd4F00yrSDE1mQqzLlix6llmklcIj5H3F3JxS6UQKr+uHFNJdPu7/nqO0cuj+GzP/DVyze8fvOG33/xBbf3W0qH5jVIpujtnJBQonXTyhmX5I4XNkcfTJkrwSlG/9mjSx6dnnDz9jVf9Jn93Q1DDAS3kNdZRLg9q+I6ByqVPBd7Bq072zsF3a02NByvrm7UWzFl5tLZ77bc3n3Li6+/47vvXrLd/sDw0SpGEuZkXB4YBymJTL27veb26g3721uG7RZ/dsY4rHj+ox/z/kc/4g+/+ZQwdupsEbLbLZnOwfDV4NDhHoKKK1onpURyTjkjdQlqkws2Lo5HSUD0hftA65BLtXTTaFtqYCoFV5vlu3vlG1Wb2JyIm9o7wW7ljrTMICJdxrVmZGxX7EWSDtuCCFmSJw1KNtfk0j72/eA0XT6tQN11/DQRh0Hxwr0yTZk5z+wPB65ev+bi7IKTYeSw3dFy0eefPOOYGMdBoYBhoB4OvP36a77+5mvC6YaTx49Yn59zeqpgwXeePef583eIwXN+fs7TZ0+4u71he3tjdaiKKmjOW+uWpnDnwwMJi5kAfWdMI643pmliu9/hnEyDrUdws+Co1ig0crd6TpNOtOPKbQO1kZsyRzXFktQm2AhHio6TzYpCZVwNxORpzZG78v2d99SiXmLvjRgvjUYB8w2wTOjSmOnQiOG4KZU8H4nqaZ6p3rO3y0PZPA1rMVBVY9fBtBgYlxylZnHIR1/EAtcUUyNZLEp3npgU2TLv95rkS2G7O7Dd7XHd8cH7H/Dj9z/i6rDn9dffcPHkEu8HfKlM2y1vv/6Gl7//PdPdLbk2/uJf/itOHz3hZz/7OZ999iVf/uFr3l7dKKG36x2T/1tQh/NCAFx/iPgW8K4q3CV8UI5tjrxJjLoIXXMPm3FuR9WN/nyC4FrvNrQFg1h1wXQPvunvb4vizVuKqbc+BhtOvPfkmg1y0l9lMVoueiYjwnEKxHRdBHsI2nS7taiFIDxgadBr3XG3O9C55nY/UVpX1P6sw7UZ9KRQT20q3VVkigOWi60rZ2uBsx2YM7+TQuD89IQP3n2X954/ITq4u7ri7GRN9I7pMB3VaiVnci6M40iISeeNKSOnuVBatY4Th0srwrhizpVDaewOB67v7rm6ueXt1Q2vXr/l5uqWORfD0n/AS+F8VNys740hKJE0xoHHj5+QUuJ+v+dwd4srM2W3w93viEEP3vN33+XyyWNu3DVvb7dspwO7w4FMZxM928NeOHBr4Lz0t7US0sBqEUEsAVgpMcYITjrjaS5QJPXMtVBqJfnAGHRRVPtyShOeGp1ghB4CxXTkrWvybShyeYmycD6QRuGWc852lstQk0ujJWsfs9/DLRdB78RmkcxOmfTOe5qT4YemRbq1Rs9ZRqhpptIUa2xKi+3dPbvbO16l7zg/P2edRnxrjHGg9cr17Q2b8QC9U8pEB/bTxJv7G3Y148eBMAykYWRzcsJPf/JT2p/8KaerkZvbW0UFBE9t8mLgoNCpBHqE4pQwqpRbkZPdsPqTccUYk+SLrVkMgb6sRmfKs15Ye5hd8MQlIXPBY5cV20mtUS0X3+E5HLaGcZsJqsM4RM5WJzjvydVslKa9dsEpctktuLj6E6RoORhsqI2nBKfGVFPWLBo/EedJahuUebXLM3e7HaV34jjgfJIJz178aHHSrYpUlSRVWfgpGgfQCs4ndQl0ZwSlI5fO9c0d93db8rSDMpNiwISSJP+G7158w48/+hHvPn5M3SQlyha9J5//z3/k7/7Tf+H6xdckYH16wvPLp5ydXHK6PuGXv/gT7u4nrm62eJ9wAdabM1BZ6gO+3x8gUZzir8PCnTmDe+w7XMqRFsNhtS18mfiXOsvGLMy+1GOgHIsc136CVjq4fLwAYpJ4oZV2VBvxfQ4CT3PaLmQk1f9echH3x3IpYKVDHWWayfCX59nECzpQvQ94KwHKrfH65p64O2iTmRWeF9IgvrE+/ExyMptE2uCk3ppiToxr9EcJrmMcEhdnJ3z8wXu8+/wZ0Tk248DZeqTVwm57b4IPx2HKR6GDycWgSzq9m2ZKa6Q00o1jaD7i0po0eLavrvjkiy958/aaq5s7rm/v2G739Iba2L4Pl/8Ql8Kgr+SI2VWrxotpZLNZcb/b0vPMynfG4MnTzHZ3y7plNqsBF+U2dNExrFdsemc/y7aeS4UoHNHRKVX/8gHZ2mNSUiL6wxFtEikIosCmdJsOoluy9qspGpwVtgdaCFQa+8OkiASnfHMRYQtpteCpcjUv2TbBPdQTtiYzk3Na8YJzBDj6G5w9LEe98qJmMbLL937Uovem/oN+TNy0w7JbWFZrTIeJaNhunQr7+y3Je3bjClpnSNEIxEKeJvX93neGccXsHdM48EWeyPe3bE42HPZ73r59y+Gwl6+Cos/U1vPWlV6au6CfEAO+NVzO+CHSgsdFBZbF4FmtR5mJeHCd5qo8/qX5y6hAlpwikf42T3l9Xq1V6uJQte9DF4e1qZVivJXJPT0mSTTj3YLzdxmsvLcLA/3+KofRP1dbVy9G0Mt7LIOywL/cCofpwH46kH0QpIEOpSUGfLkclnrS5YA4kqMWRd5NguVtMlXy7LJVdNYp0H3kMKk+0wF3N3f8/ref0ufGj3/1c9771c8gV+o0s7u948t/+h1f/uZ3hGnPKkZCg68+/Yx33/uIk8dP+PGPfsywPuHi0VM++fQzXr5+zTTtdckveLvxOr3LK+ENchmGdCR6m/M085f03sg5S8lkRNvymXkvrqZ3hdNJaSTYSIOdlS6FiO+mBPKO1hSfjtO2VxciuLXjweq8fERSoVczjZpM1+DM5XkR1yUyfoF0YgiQksFQS+y2hp3WO7VL/FBrk1KxVYOdLM3XOBDvvPEg9vuaMsq7gLecpej1rHY4kvQfvf8eH33wPutxYBwGzjYbaIX7u3vBOl1DS22C84Zh0HtvjXvTnJlLYxjXbE5OKFUx4IXA1d2B2/t7Pvn8D3z6+dfsponDnJlyo4WIC466DDI/5KXgeiF0+3JrozhH9pXrmxvydKCVQpkO5GnHxaDQrVYG/KzA3hgcc5lUXBIdlxcXvHuy4dWrV1C71TAaYkFgCIFApFfBM6VUy6OphCFYSbytkO6BqEpIa19KYbAQN32hCkDLTQ+5i4PF5DZF+Bp80ZsOF9exD74c8bvgvOo2XQRXZanvggmC8yQnKR5F/ERzinroXrdEDfWIu9emSXfpmVDG0ILYBFJSEcfyZ57zTAryYdRSFUTnFdCnJjIL4TLVVM1ZXEit+BTANe6v3vDlYQ/es59mdnc3TLt7+SgkddAaT6c1T25dxFUrkD29FobWGVxjngJDUN5La/V4CUry501haAmNptzqy8PUHcGIxyV1NQZP9OAoqBtZL4nw+gbNkk5btc+lWB6SLp+Uklb1oN+71yVk0TGuEh69WN02Gm/DAAtPYBBE8YHBOopdf4jfKLVQ5gkXOtEP+Ghpnb2b5+TBBf8AZQifh8UEqYuodIUBLsMFRhjHoEC4YGRqLpm7mxs++e0/8fLNKx598Rk//fNfUVvhq88+59P/8XeUmztOomM9bogNXnz5B/7hb/+Wv/jrf8P5k6ecPHrChx//hA/+4Z/4f/0f/56vX/xBzwbdtjARyUeICPlp4lLh2fs/k36W+iDcCN5/789maaB+acNrRwksNMv4AlywASkKeF0mbfv9v1+1Chhs2aFXspeSjS5Jbuv9eDg3u3T78WawAcQuermIH0pmWjWiGhkb93nGBfUm1Cr/RwzRakb1zroqpVWhyyuj0CxJzIMzc1w5Ks9ijIzDwMXZKU+fiONZrwZOTzbM08x+e8c0HcxR/yCYcU6DTl3C9uzcCXFgc3JKGkcCnbzbcXW35bvf/4HP//Alb6+v2B1mDtl8Cc5L9t00NPv0A8NHkmIr94dW8F3r2WG3o857hujZ31zz5suvuPjxL0gXzwjnF2y/uubTL/7Am9s7DnkCV0kenj294C/+4i/59ttv+bt//C3baTKiKmkKCMmwf0evM7mWY4F7WDD5I7lkPAKQojL+5RwW71HM3EKDuTXTYFsoHpgyRoebR2oRb3gjThJBnKPY1Oq9kYXo4NS/62QQaeSdlY1Ao+nFEiNrE4Q2FFO86/cJS2yGKg9jUFF7tBgN57yicmvVoTUmas7kWRHRylNZNjlJMZxzKgnpYr26k2Kr9c5+NzFNO1rLRth1omXnixBcIpGlGiol41slDZHVkBiTxy/mq2L4vXPK8R/lBj1gRGO2aHDjKZwzg5Grxxe508EHcInWHLupkOylir5Drg8k92R5SV0XaOjxSAKnFAnRmyu74lqEZhHgC+ZbqyVsBgpK0GwhsBpHqZpiZO6duzxzN88UpNvveFxTQUxtjeh0eTunTJ9mDXCOpnhtx1Hxpo3YiMJjDpJMbcEvBHWwkqKiMMW8V1PeobN/seO7V9/w5WefkPPMfntP2e25WG/44KOP+fC99wG4vd3y5g8v+PL0N3z8p3/CoVbu9weeXZ7ys4/e5e23X8JyURnchxm8gndEF0Wud11imr91QMcQLPpE35tbVDZN033rmEhU793yZlQjqxe+bTGOeYsCkS6kkvN0VATq0vI03+0/deasTVSDY7dtheOhLaTJIs3N1AgPl5Y2DG/vsuCmjqc6cGlAxT3tGI9ymKfjZrlcUj44gpVd6ef4/nDAUS21eHqGoPTm6zdXXJyseHb5Hr1X9tMscUYYCD1qy26duRyIrVMP9Wi8wwXG1Zo0qp51O1fmufDVN6/45IvPefn6Ddd3d+wOB2qHEBXvEe1i611x6v2H3hS288xIYj0ovC54Eb7b7S1jdMTNmrpPvPrqK04//5J3nrxHvLykhsTdLnO7OzDXBrXgW6Md7ln7ys8+/oCbu1s+++prtjsrj2/qW+2YdLA8VFD2rjwcZ8mnzos3OExqYBtPAmNKRGdTQBa522ul+wZBReu1te8Rw5KpSTuuyTR0W2nt8aQ7q+wMVBzNdVyI9hDr15qtS1iFQto+iuHDvTaondQEFy3Gt9I63vwTPgSca9Qq2VkI4/GFbU0PyVwqORdaKfSqntbekHkPd4RPvPekGMmtkl0lZHSZ5mxlLFkXrRMuvOCz/tgNITjOd2cvuhRAJ6uB09XIZrAsG7uEHCL2Y1RYWke9BjUr8bR71Vuq/CTQkPu1o43MmWFJ8khBFa1Cz/ozYhtQM+VFa4v6oy6UANUpNC7YoeQ61LlyyHpO5mw4sbODwZRI3nvFBHhH1tHArhSu54l9g+KC0lLNSNmbNpkQg8EWleQdLEmfGvSNuPU20Wq7UbOfwzdTwHTBFc53qqm71F/czLjUyGXSlzzDzf2d4rub2uhc8AxnZ/zkT/+Mi/NLrr7+mi+//AP7t2/45re/4Zs3r/n27Vs+/tGPeffyhJ9/9B5ff/eC3W7HYZaWnZiOEtIUIsF1kZ1FkdCCUh0hJUIKzHZ4L53bGnLETwn/ztomvKM460xoylVaOriDdWO0XPQc+GpxMBI21CqoSsXZ/bjBKjsIG+CUGhBCoC2qPqdHpZSmVA8HLikcsTbrcUFCh2YIQ3cSLFSDntzyHfPAazfr2fDBEbzqPedsasloJHqV+S5iPoXSqYfCfbll6Jlnl2vm6Zz93jGmxOnZKd4lWoH9fs9+vzOHuxRbLTdCEOoSYgQf2M+V67sdL777jn/65Pd88/I7dtbJ0rpCPzvRkBNHCgqnrK0fE45/sEuhB92ozYsIrD2TS2O9Ho7EWG+Vw/2W1y++Jj3/gufRcX5ywqOzU+XXmFa95sp3L1/x9//4j3z88U94/vwdvnt7zc3tvV5yF626LplsFJk3HGTrN+gu40MiRHX8tt6Ux4PUDrIDyf2JNV/Vvhx8OsaXjPxiOLoLkXLEWjHSyprWnG0UTiQphivK/Kugt95V+CNiSrnvg/Ued9Mb575opJNid5u2khgwjJQjlp9cU2Jl06ESrXSklaKmM2DRi0tNoYmlGpRWWjPjWD86QxcohiYDUu6F1gW/yMFsD45Ja4ODUCvjmNgMkbN1YjTVVW/1eJjEEAhDIsZkJjbFGpQsbsRZiZLz4Qgt1N7JbWEaug4IB2mRRxoR7zvHTKGcs74HLwlgq/Zz4MjZzE10cx172y5VBlMMG07jIBik2UuX1OpWemOeKuUwsyuV7TyT6ejKC0dDFd4R7MSprdDRRRO9J9cZ783I5ZbY7UBtCoXT8KE47MVhG7zHO8FIdI65PHG5PM1Fn6cZh+ThznXSKkFvXL254vrNW0Yz4V08fsTJ6YniuncTh+tb7s+uuHh0ydNHl1zfXXF7d0urxQ6LcJTMti5J7hLNfByecLSiIEMMauxdk/bxsVmSamujOys9cjqQl+ekW4lVrYWFZWpNF37n4X2rTRBb6OKbypLHZJuL6ygGorVjivFyEC7uyWDbrjoQmnGONjwhfqA2uZ+bfebOLYmn1bZ7y5vy/mi+q6bgMuwLFmm6EfYhQOpdm/Rhli/E7/n2i0I7XPPxxx/wzrvvcn5yRu+B7W6nM7TL0Hi/n5iKxBsxNtanF+TeIGdudvd8+tmXfPr5F3z78g25NbpXR8iy+anXI+icWgQApRks+X/91x/fvGa4eW6N3goDVaYbYLNesx4H2biDJ9RMv7vm8PWX1FwY6Dy/vOTlYeJ+Pyv/Zq589sXXFBKr83MVmVRJyJyVatPVmYsdlti61pFBg45FJ2uV9UFRxnPOcrw6Z7haNEmhlBC+qpqw9Yfe3W7qlFqFB0p/rQ+4HycgTStLh8PysAB28FpqpMn1mpFQwR7yUvRZBovroAkPTcHTvLdCmohLHtegOYc9zpqCatb02DlOXAuX0NuD+xMj0BfxZVsmaylspZ6pSppsDssvko+jW5SDHJn6eT0wpsBqTKapBouGxDutqUttes2ZWlCyZYfoH1ysIUimWMwA2FqjYhdzXUpw9DMn4xOW3BpvqZTgzEhnxSdgxCFHfLmUcoT/vFcxUO8LMS1J5RJBsVxitTX2uYikK5W5daYGuauvwaMpYfk1Wyu6uIM3QrUxFx3sg1dnbm0P/olOw0dvMKXiUnQwWmicqVXcMmB979kK0eOJNF8YY6IGDTljTIroMELu5v6etzfXHKYDrAYenV9ysT7hOgxsr66pc+bt27fs93sboY3c7zowh3Ew8rTbZ+wXgJNcC3WWSixEwUitWQNdN9K+axuWWMCUSMEbXNjsjHVHLJ5j1EU/fs/NXPYP4XK6RLypyZaE1W5GPNDAGGOg5UxtmeCiTJYshUuClYdh1NBV2jF6Zpq1cbfAMR1YEJKgyUUw4LqIbYkhlggcuyzp+ObsMFZ3uq8zQ2+cpsRpCqxdY75+zbe7N7TdNXdvXnH39oqz8yfMpTFNM9c314zrFXPJvL264u7ujnG1YlifCTba7/jyxTd88tmXfPf6DXMpRzm8d5ZB53Wky1Cp/pd+NNEtvZH/v//6/+NSsBejNuY8031nkxJzybQ+MIyR9ThS88TNty/w48D+1Xfs9jtuX70hNCvUaFBKp7vI/VR4dX3HOBfmuQgL65aqGJSBsphqiq2PzrDgRftdcz4SZt05i3h2JK92rmIPaweq4X1VbK7yUbo2imYHdHdqM3O9QxNPEZugKxeCwvicVmTFYogo7aZRp9tBbE7NgkleUceCc0gzvZCMVhdIl2ksmGKpBZlZ2iQ9tFq7KtFeVGrFd/VKtJxpzR3VTjEE+3kd/XuKIA1/wjoX2AYn3LHBMW5a/75TqqS30TnG6FUN6NBk5poZyzBVli7rUjOtQYyRIUWLlWiU5YUzrDlXbTvVvlsHJCe4qtaCG4ZjbIbr3Qh18MuL2ZWIi8VaaMq2n6GI8zpeAL2bR8TiTVol12oXrTciv7BvsJ0zUykUPMUFmndHbX/ommIjHMvf+/Ls+AcJcsfiE0xFEyJMVo/YewNTRYXgLXoa66CQu9rxz4n55ZCMi1S0q4w94DjbnPDus+d89NOfMjy+YHzzitv7O85WGx5tzokE8mHm86+/4rtXr7iZdpQiviZbh3UaBkVsGLflnbagZs+M1D2WPtvBOUGAGEndqmS3rclnIQinUXLF94iLi6rN6G2nTU7BhPozakFXgoGUZImU5I9pTd0DzXVCFy7YnPwplkJkSEWRPLUXYhoYgrK0hkHc1OI0LrkyTQpXHDpEGnvfyE4XNrXrDPDyV1Q7a5Sr9hCP45ynh3jkL3EN3xrBNVLLnI+Rp6eJEw/JGZ/hG4fr17y4u+XVNy+5fPIO3Se2+wNznnnyzjPwgW++ecmL775lGFdUEmm95uWrN3z17Uuu7+6ZizbwtkCVOP0Hu8SCD3LWY10vMel9/CEvhdyFqzU60YxIU9Yf9n7v2BjXkOcDN/s913e3nJ2fsz9MvL265fbtFbu7rRQYRMUFN8/9obCve6bcZOoxCaMIWeHoPgrjnkvWi+0DPgkPmucMQAJpmJ1MbRVPLk3KJFsDm94uAxgcuRXBS5amWmyCcz6YFKoe5YSu12N0+FIK3x2EIQm7XMi1psPcOUcPgWb4dXPKju90QlPkrqZERXBXyyhR+1k1mdwir3T0qnUyOa9pXaedlEa9AYsCBsPjC70uwAz6M7GQglkTnlckQ7cHXb/c9yOUq7mDAwOd5E2W3BT77PvS0rZguTo0U0pqSHOOwUGYC1OrNI+5vj3TPAvH9SL9g1OuC7UpSt354wEeQMGHdK3K3ytCisEIzSJ4jMWNbZDdomjpLN4F27IsA6jniVIrU6nsCexLUWqEswu9ybzkvTMDk+LBo0Ub9GpZQlj4X2saJrr7Xvx6Na6sGdEuk2IIgiuik2RyDFJleSBqHQOcJKBV0t/1kOgpUnImOM/p5oSnT58wpAQezt59RtuuuXt7QzwcCMPA+x9+RNxs+M3nn7DrGTfpnYghCg6yS2eaJ3xQ6XypUrA4O5SPqb88KHq8Tf29VaulrMcQQbdsdF4ATPJqaSz2XRiJRXcPyqEYI9Fb7Lorts0pSal38w85DVcebWDLdtpRkdawHgkxsEqRy5MNJ+sNKQaGlCizYnJEomei96zGgXUK7H1nW2emaWJ24okWdZJf3o+m50fCDnEbDmcbZMOVKpWmq5wmx7NN4tHgOYsO3yo+eoiBQ83UXri7esvV1R2FwJQLw2ZFj1JIvr665vZ+R78/cD/9A2lcc3N/z/Ywa6jzen+jvde56Dn3lsYscyXGXz5snT/opdAtvrbSSM4pkdQJEvDBM5fM7d2tpiXvuLu/5erVyDRXbu623Oxm8lxwMeFd0EvpPFPthK6JtNvB1jsmVbRWJ7QxRDpzLert9Z7cMzEFaZub4ouLYeouVKIXXFGdqacwJUJvuOB02wINHcL4oKA2cVQsCgtnbO6yNnakNAgpEJNOpcWNWVvVQWs3dsQ4WydSe5EwLki6Rm8PITBXEeLLVLtAqM5cvT4lO6S8Zf43PM2cnxa10K0wxuSlSwa/NyPMcdWnG9Zv66cPmlKNb1C/XmcInmA/g+9dF8KiXuHBZb4EO3dbsxd8VcIQCwlsjeo91iqhA6ULj10ypALSpNfWqb7jO/gOLSylOg8H/JAsaqFrcwPBDx1MX1+kUrJYcB8tGnxRoywXprMYbCKuPmx2EhQYXGTYMqYGW/4KUX0DzaAfuqCXvkgrW7cKTuxXFB/jUNhi9EFKvq7QwG4HZffaTPVLKh4lmDpqTMlw4kLJM9vdlrvtHWHlWL//nCdPH8E48s0nX1Ku79mExOb8lB//7Ke0r77gdqtK3OXPMU+6oFkMYQ39wN4OesPhj5i7DQJHiNEGHFWb+uOQ4Ox7oMnpPKSEL8IwG2qw08aqYSzERByi/DCuMc0HaunEuKIWSzxwDh8jzmtY0pCm/z+uV6xP1oJVWyM5dYMn7/CtsE4RYuA+b/G1gAvEEDg5PeFsFbja3bJF6QnyZAqrr0ZKswhOms4lkZyZwQW803e69p1TD5dj4OkmcRJg7axBMXSK0/s/o40z16Ytdc4cSmY3zWQC291eHRjec7fd07bTsb63OXdMYw4IRXA4ZYKZe78b56g8MYlJ7P7/v/zrj74UZGpRbLWs23qp0iDt7Ho9soqBPB3Y3t1SasXHmeajEaDQXWAujtxhrlB6ZbrdkoZ0jHD24UG7LretSmh8SHKcukT1HteE+/oFCjq6LnWcF3T45b4UxQj30TEq0kZcAg+SsgW/b4sv4UHKSOeI92KHyfLPLVCWM9OcnklBB9ZBRGkPum4plAwW6TpI2zRRcjn+PcVW7Vr19y0hdL53qbe6/vvgTBGBPypeKt2mnIefs7ZmhLk396+jtyI4L1dy04ThGjqkvGMMOkiTEXZUy4+xfynTXSFx3lloRVdERLPtTGRyNVI+PPznJi4nYzEVdhEHi3XWX+akNtVRbp1gk5rzij0PplhqJVLgIU6jWoFLF3cg3NxbWYv9PO4hkyh4zyoNZHRItkWKYn8GxSyLEM7zTHUQnUpP2nJYWUlPq41eNIn64wrf7XuQYz0mRZX7LiOjx+Ebgla8dRJ0vdStVlwttBJotRJGpQrnnLm9uebbb7/hR/lPuFivcONIOj3hnZMzHl8+4+0XX3P14lt221umqktSpHhkP0+00vAxSoVhHE6pxWBbJ+NhA9yDIU9Q0SL5drTqjs91qXqGF+dzX5RDNeOchAExBQUo5tmMjv44cD17/pSz85Grq++4upmZpkLOW7qLpHGwAMV2JIO7hxQkDY4hEJqe9VWSdNrTwPKnNicrVsOKTRrZrvbUosvIp8gcO3vnH7hTkxTPvQIKgXw4ATy1F+VPdaEZsVVCnTkdIk/XiUerwNoVRjqhdes20AtSg1faahEkejBvQS8e5kLzkdkuJp1ZjrlWug2PrdlWHiwtQWCHGueMKMcu7ubgaO/9oYnmlvWQB9//2eFYa5P+uo+sNqf4mLi7v2fOk2zV0dFcwEVlgM+1M5vqJJdKrjMxZ6k16IYZe8v1t8kLjrpnNb+Z5HHQgzT32TBJ7ENwMvL3ftwcmn0o3Wb02maCSSeXcpzcjLOwKGCHe1ivWdbmBen1/yy5sZSiL7CBs4o/XRj6uzsqbl82Dken9yo9c1DmUDc+xBFMySQCVnycDpZeCtU7Il2+Ae/wxo0sB3Nvgni810PTDa7qdjkK2xaO23qjFuz31jo6GHnafCQklZWXeZakclEXVR1ssPgMOOLgh3mSAqVro6pdHEtpuhhEsNtla5tl8Ko4DRZ37ZbPHPfwMBtZ1nrD1S6+xGtbXcVEljFEkJp952HJtK+V+r3snCMctEh+UazxZj1SHdRDZVou2Qo+6mdoVTlODkc1/Xpv6s91PUBVaqhvFRflgI5RU+xYI9vtThcK37tA6Ep7dQ9ppUMQ5EEp2sx8IHjPMAys1ytl9HeZGL99+R2//d3v+MnJmvfff1fGzgDDk0see8/2sOO761d8+vlnfPviBfN0IHlP9RFio4cowcYiUGiVOivT6ei3aUpEXS4GUIeBuhnk6CcoR4oj5m7bhHFDuVR7Fr2oLafpP89VF0MvbLeJ9z/+mPc+/jlvr1/z+99/ztVb9X54F/DdSHnkZUpBBVhDipQiN3+MgVVKeDpl3gOOcbNhsxpYDyObcWQ1jGy3W+a5ME978txIHdYhss92WfpgoY3dSoSws8DZM4R4vZoZaWxC5/EAj08Sl0Ng6JVgnNtigqxOm0fOjTk3dYtkwAlybU4Bf/KEBUln7fxQMuzDMOoNJm7mSermnVha7qpF1yxdHePwA5vXYuskb7idk5t1HGTnnubMzd2d1dNV9rky10armZY7+wL3uZuSw9Ob/oDFpImldutb9seDTPLJYgFWiqEovUOudpg2QtfUv3xJrcsgpE8mGuFn6Zb20OuAZtl3NeV5i6/oiDswHLR1lbvLDCNuYblUpENTZ233CvQCkctKZF0UGd1+fWF8tRVr11LpRjOn6Ga91oHXuuHUzSor9fb0ZTLHpKiIlKwmjaUWm0xFNi2nql9uVBYxn9ajttQpCt8hREfygXVKlhsF3duk0doxrK5k8FgEgl/a6rrpyhdYSocsbrnXTaYYwDsZ5JxxFs6ZQsRJx+GajEwK4ZOhZ0k5dX75BfXdUZccKYEyzYl7cL2qPpWHXm5tJsuFLkJYxB+WWSOIdAyOvfM4Ms7KhkJ4kOA2w/QWPH2RqGIHZ68qpe+1kMvMo9NTPv74A9778ANevn3Db3/7CdvtJP7DecaUdNl1HT7RB4YUuDg95/Rkxe31DVNRQ6CKVWbmecZ7z7ha0YDD4cDXX33No48+4v3ucc3y94NjeHTOh7/8OfRKPuwo+z2vX79if5iOTvwpm6rNGefTbbPyDxDQsTfAcVR0YX+vc+a36BDTaJuBhQLa+7yIIIbo7GK3AaZUQURpRSkzr958x+O3A4/e+YCfvfshaQP/9E+fcbivHO4ywY+sxoHkEph4pUzzMWraAX6VJNsWrotLSQrAXJj6gSENtFa4295zOMyC/zysNytWm4Sv4JnV81xnpiqlkretsbQOMdp3XRhd4zzCozFyPng2FBIQTV7rgqDdqYhb2zfHdobtvrEvUF3Eh6iOeAvFc1FxIN1qbOXNaEfVnI3IlJrphkI0FJHhnRUqdazx0SvJehz+uLP+j7wTSEhzP8Yg8tAbTu3AxchUCoebG1t31WxWemfKhf3cmHuguqhSj96OkMIi8XM+ksbEakikIBNGaQ+ySh1wKnOptZMVgyg536CJ1QSAdCRNzWXp7zWY1C25NsL+RULqwHJOOHd1Vvy96OmBYyR0Exqug7TZ5SEiUc7HcPzPi4tyOYBA2HMtUtLEgALbahERZsmQ0zSTl3iF9iCLy9Wihrtcxu047UuJMlqw1+LiFhzGUaLqYLkh7L5oC9d31NiPITKGaH3X4gymUpirogAAqofsFFFdJrtQgySs1VZ3/HJN22Fvh3j1MoiFLq+Ls8/XY+Rhxww2i+MWlmTaBwKzG5QZGGLUZG0XZnRe9Zs+ACqd1/bSBYP0Tl5c3/Y9drvM1dZX6aUxH7bkqSqB0gtyO254bkEBrGXLe4MW9b0HgzV8razXAz/68D3+7V//NX/+l3/B7z79lNu3N3y+/Yqas8pYvLqudYEKrvRd0lyPXfwumLMX9rsdrRY2mw3jOLLarBkJJBz3b68p17eM40oTp++EFBgvzxjXG54+fsbFr9d8+/Jbfvu7T3j55rUg1K7U07mKD1uiV3rvdG8HGw8QzxIl7304bgrVzJmL+kiR1bbh2bYfvJRztVl4panXore4kSYV4t3umv18yvmQ+PmffMj541N+909f8vrLLb4m1quRdVzr95sL21xUJVqaoqS9UgWSj+Z70XNyc3NNb52UBvaHidu7e2uWC4ToGX0kpoTvjlUu8hzhYJpxrZpvSirA6uzddY2Nh4sh8HgdOY0w9oLP2hRbg9mG4dxhnxv3U+V+bjTWKgTyieqdGv6qwgpF9GmjLrUdo3ya65YE7O0ilvNbUTIm16XRcqG1Ih6t6wIJ8Y8jm//46OzgORlHNuOAbwXXTGOdBtbrDdu7W01mMUo1Y5LSQ61s5yzsOEBujmxegBi8kcqSmC4wQS6FaAag0h+UIhXzGlRdEGmIuABzyYyjbOq5LquekihB7uNl+rHzQHb9KvOSDmvdztGcqcvhWU1iKUJzuRD0vy4TsFIghe07lKja+wKyOWp3+iUNh/UumM+nHS+TXMsRJ21d5fXZcPYFigm2UmpxkUFIMBm4mqkG/8QQDZqo5PYAyT2UjxgHgkEV3rNOgw7ZrhfNOfRQmlmstCUBNGhjKO2Y9x4Q/HMsGXJLv0AneHXgLnLdApYoqVgF4fSY0cgRWWSvy78Wuav+uWgTZzQfgxRHdlkahBaMf9GB2s1pqmk1t0kfg9PUu5xbPui5q0dVmLcIlCb+hwXeWS5bafsXKHApz1k2qvWQ2KzX7LZbPv/sU7x3XN3dU7M2uuW7LubY9j4c4xVqrdzd3rC7v8Xj5EOpjdU40Kq6ppc/z8npKc+ev8dHP/0ZrFbs3lwzPH4ingBoruNTYPPokt0//CN9mnj65Ckvv3vJ6zdv8R56Lvqzdwk8QzTBh0Fw6lZwx20ae/alxIq47o06bhSnFNxmHFa0AUFk8mIPlmghBqWiFnMxJ7em+nsOu526RaYdYTzhg5+8w+p0zVenb3j7zS33N3t2pTP4Ud3lqzU1FnxwpBRYrUbWq5HBB5wpAVtTf8l+f7ANHnCRMAyWbtzJ+wMtF2KIjHGgTjPJecYY8c2rCdJeo32peCqb5LkYA482kbPkOEmeAQ3GeIlZam/04NnPjftDZl86uTmVOFlcT60YhxCoNZs6LWqucZr2fZQCa1F/zfNEr91MuxJi+OBELGMRNQZTpxBZb9Y/7KVwNiQ2KbIZI55AL5bK7rySC8PANE+0Hqh+YG6dfavsa2N2XsRvVeG1YBq3GA/pVOHwXS/UNB3wTlHJFWheGGRpjdwVyOWDhyhC1HeHd+boLTaNd73pLnhKmaR1DtbWhWjyUirDOMpB2UWkL4f9NE+SGC5EYkd2f9OWL/WFOVf9PcEpcG0hmbsgo+68GpJcJ5YqFU9wDDESgqeUYJ9bf8h5F+OOazpkH9ymTb+mV+xyL8VylizB0uAt6fcNX/Q2SbglZEwgUvAe3zvrIXEyjpwNA7GrQN3HcKzl9D7S8uFoTIR6jBHWf+4y/zS13aWYmFsBZzlPXd9bc4siqRN6Z+jqSpCiJDL4IPzVw+Adrqu3w3WTBwanCIaGLo4GZJWXOBaIC7q3RaDKi/ywZkpvXvAUFqIePNKjNxx3uXEonV3tVOelGjMjU6kKG+x+gT0yAcdqtVJ2T5lxNEJyrIc1JynSeuPN1Vvu7+/5u998Qmmd3WGiOU91iucIy8ZnYoLkFJ3tg1zQd/f3RO9V0lTVKudRxHfonjEMPHvylI8++pgSgmpoDXdWKCP4lDh9/pSnP/kx333yezYxMQxr5lKZeqEG+3k8LIF+ej9t2m+CBlJSjk7OynhSLPlM9PH47pbWpb6r6mJoBvk5r/DEpQhJ4ZGJ0vR9+8VDxCmH68zLr+4ZNxvc2uPOC89+Erl49Jz/+d92XP/Tgd1tIzTPStgVvje8l0cBHD1DafK8VOvb2O0P7PYHYloRh5FxtSakgbu7O8iF1mEdEsknRdpniyDpgra7t3euz5xQGX3lyWrg3ZOBy9QZXSGiEDrSwE1u3BdBaC3DfupM2VEJzF3n4VSrLlKfqD1Sqcwty2PUjW8LMtn2psFwzpMc795T6wyt4MNgfek6K7uDnAtp8JyenHFycrZI4H64SyG6xpOLU05PN+zu7tjNyu8/HHTg5lyY5sJcOhVJQ/elMDfh3h1l6oRaLWunkyyLvnSVbU+7TA0iRlOKTFlVgT2q1a20RrGgrgC4JtVHZYl4ECGjjaIZAaN/BodBBdoSlkq+Uoth4ZL9afoTTBRTMvbfYIzeWY0jISURfU1BYIVGq85c1t0SNpfDWLKz1hqxq88hBfNpdHRAdAfWpYtpn2trx14HQ31EchZtIZh1vXlJOkMIOG+Kp8Xc5JxeZJs2NBU7I+v0UK2HxDolViEoG2nBLZ03zqWJzAteyh+3kPbtOME4F3AEnJPnIu+LKaE0SVeTzWIEYXCdtGDxROjqCPDBy8AGYOR4Q6qKI6+Akc9mnNLEbKq1Jm9BtShtumJVcOZi1TVBcUrXlVRSE1Wlsq+e3VyZqx2oFo/RzcSIM26qK5+I3sh5IiYPTh6eHrTJNWvS6jmzP8x0dzhGejQno6WMaM5QLotl8J7VkHj+zhNaq7zImWm/ky/CO8Y4skojJ+s1wXk2aUXe7vinv/kb7g4Tp+8859ePLhjff87gA7OTwms82/CjP/8TzjYbPv2bv+Pm9la8Xmvm61lgP49v9oxYLhhGqC+JvUuK6cL/Lxsv9pk9bNHVyGiTugZ3LO1RP7jxZXS8BS9CoM1w9XLL5uKOcNppqz0uDaTzkZ/++jm7w8xn/3BFnp06u1uBNnGyFlyUDxOHqRDpMpDWqnIt67IotlFiMHEcRsX1G0zrigQerXamaVaEhfF/vjcGOvTC+eh5NETOkmcTO1ETLlNtbKeJt4fMdjbLnouUUsml2+EVFM5pJtvcGlPtJqEPljC7SL3t/7eiIWpBVtBmhKnf1F4401zD+0YcPGfnp5ydnQKeOc8/7KXQW+Vw2BPjA5Oe55mlKq/bH8FHuVVLr+wPM3MDfJI0zaIHVuPAkIT99dbZTXrQSil4J2nZMAxyErpuRr1uxqfAkm6KXPfiHLua1GoX8ZpbtYArz7KSdB4ieUuxvJ9aH/4MhsMvZGkxLbdfpE+tYRkO9CxMtNcKXuFuHumXvQVjBTxTLbhZAtM+JubeKC2Tp2I8gsz4rZlO3+vA1mGqh6GYoqYd1U7B8PhqxRlqnFsOS/kCtP30Ui2Kwh0hh+48PkTGFBnSIBms0wG+pCk2w7e7EeXBFCUgh6R6KrzhyhIPLBzTcshhBKWAFf+gxOpIoYLishe+Jxg8Q+8kS3cstUBTa1ahS9ZoPEFzACqKl7vUUUtjruXoTWnoAsitMPVOdhi8JTktQUaNYlvZPOej5wQTQvSS7RmvR1hEn5dN7jERLf7DYfLBnLV59cUlbjlC9kwvn5vvyAfiH1RWrdk0bp9FLZUW1Q0wpEQtmV4LtTvu7655dHbC/uoN97s9t2/ecHF5zo/8vyA9e4w/GUwO3FlfnnL5zjOq81zd3DMvLV5jxDXFQnsqzaud0AevrdNzPOTrUnXK4iWy1ADzf/iownnx8fIkxBCPESzOGvdS9FQXLAqkHcUDums729sD16/vOHmciGMiuMJm4zk5G/nJL95lfzPx4rNr5oPHZ6BU1vEUNyRJtl2jOkV2zLnQyPaeKXKGnIk5q9ERywkrmVI7KSmEc8423FgqQu2Cdr1znKzXXG5WnJ2MjMnhXcE18xDUzmHObHcT27nRXMJ5wUjVOC0XnEq3vKd6lUYtKEilqTUyBBbdCOb4xhSKrWrYjTZE6njqxnM1ei+s1pGTkxHnK7vdvUICf8hLwbXO/c0tZZoUWGYPRe/WsmUPRLSbOHdPIVi4lwOncDJhzFHkT7fmJu+JIVGDt8lTL7KPkdaEizfXwEfTOpupJmfMMGxRFfrsmjMYoWkTaObs9aafrjnr8PL6cBc98DHPxA6/XGd8E2beSiGaYzX4wMp5qvPgLIbZN1yvDMGRvP6eRuVmPwONNo7sejbXtLwaU1GWTW/aUhxe0szgaAgX7K0pDdUOItcroVnmk+46EdFNWVBW0mcRBNqYvE2Zzimcb4EFfNBEsqi2gnEA0v3rSgqLyuLojHTKR/JLJ60/wh9KogSq4AcMd16UEYtwyASFStWsqiqMMah4pWvDWXiCYNxAXKZYhdKIBPAAmt5byWaGLBoI6LhkSowqCKpVmRVL7WZmtEgTZFSKAVJYxgIMG18+ZkkyaQUfo2IEkoLH8N26NaB7fzTIjS4I23fBLsjlV+ZBRXUUDFQdYM1RSqN8e8D1znSYjhLgkjObcaRS2N3fE706f89PRl7evqHvd9Ttjt/9p//M7ZvXvPcXf8qTn/+E4fGFbbwdNyaG01NqCOQm1VioUtb0tnh0iojN2GneqnCtC9sh7kZ9C+hT6s3iTRpD8HLrN/OI+KY/vm3fy9DjrDnMmTmu21bncSLxD423394RRgjxiWo72wxu5um7p/zpX71HKzu++f1bgt+wWZ+SwsAqrvC9k+d75lqUKAvHhjWcZZjNM72rtMd7QcKlNEqdmYtJhBFk3CxnLaaEcwOuZ4PS16SQ6L3qvfaB2uFQC7vSmYrOiBaieXPETXYkynBJz2uplbkqmp/e8SES4kCwobVW1XPSu5zZJtfvTUNwtJwqZ0OZkLjO5mRg3ATut7fsDlshHz/kpVBrJcagJqKikveYEsNqpO/30rEDNJmMcpced2lKkusVTWVlpuZJWxQihGPygh9iPE5Th5LJTpNysxezE8TmIw6il6op3Em31Viw1H7M2Vlkk80IpW4QzxLBLDz+IdJCF4iRsqZOkcmoQS50V0jDinWQo3kcHMEX1mnk8dmGZ48eEWNiPxf+8OqKF6/fcJ33TE65/9FaxWopTEZ8l1xxNFWYNkdzle67CRH6semr1mYBbNpMNKF3+zMq8sLZxB28s2lDzVkqQNGD0Wt/UEcBtWnt9956lQ1W0EWEsGZTphxVZ84f+3aXCb5a/opKixQLsByIS3DdkazvS+a7R1ln3ZRIy50dsCR+mnVi9OAJreG89RV0g4nAXLIWX2G/l5Ru8nF05FAtxeohF6a56+UaxwEfIvtpMjpZTn0X9Nl6JGv1rdLR76/4b6nZnFd3AA7LnlHfRrW4imrwnUaObodoxIf2kItlW+o0zdSsVNQhqA+6zJnDdscQAykoAuTm+g1fJ6UVD1PgcHXH/O3M+fk5fPwx3O/h/AxiBDx+GBnPT9hcXtBffmff/9Ij7umuHLPCQEIM16FVxcks6jZdCHoeUopCEKr+HLUuKhiLAmndFE6RIY3mENfvUGPTZtUXP1Ig9EDNje3VgU5liAlXL2nAeBqofs+Td1f88s/fpeeJ+Saxamv8nDRht0LBHT0S3apSlZqs54LWOMxZ6atOMSPdywPcLJwxmpRV4ZZSN1WU0eW6WuImr2ehOJi8oOKbfeFuahy6oKCKE2Ji8JWJdam5MDfxn7nqZ/MukIZBEnys3KmYUtPO4iViJBhfswy7ITgjlwvD6Dg9XzGu4Ha7hzDhY/+jzvo/+lIIIQir7U0flvc2nTdFCwflfROCVAwdugu0rpvQe9Pfe48jHKGEaNHFISZytonTKadIjmM9QLnaetcafYn6dfE4JXaxhpp6qx60ZgdqjEkQUy2UqjW9Lq5A/+Bqdd7TqNQitj56JS/21i3QrxJ8YEyBTQycpMgqOlLUhXGxibz/+JTnj045PztndXrOm+2e33z+JZ9+85IX+8rNdn9UK1UvAH22junlwGjLobnIS+1SlBfAyFHnpIYAfJe7ty4hb33JQBJh27o+e5zy+aND0REGZzgfjn9f/l7bkwvm0M7Zfjq94C5KPlrMbV6rAsycFyQTTUZb9aHqcllW8GZ4Ldb5kBK9VnIWdBG8Dtkl1dG7JbvKjilTX9RFYWGy1u5EJC/ekNah+gejZEOyZ1+WBExvcRzQUbCg7zCGSHUzIURSSuwmjttYwfijJkkiTnp9193xz6b+X8GZc61SwJi71zvh6K2p9KTVougCuiX6LpCdYJ1WK8r6VNxItInWB08vM61mDvvG7S7yk1/8Jbert9y+vcGXwgrPk/MLUoO+n2FlnMTpKT/6sz/jR59+xhdff0252zLXRgzRng+prroTqe5DsGAOlSkt077qMCX4WA120DdJIXM2OTCCRoNFLzw8057kPck6LLpFrPcueXHDi/hpkd115pvP3tKb44lbc+FGKBObMfDO+xdQfsKXv3nL9CZbhtVMoJlKyBF6pNTMlLPxd962Ji9IqS8JuxpCuhOE2pwnDQN4/+A76tXUcJLv3h8m8jwREYyD8YdTdSqY6o7DXI4mWZw7phO7mBTfbtLeXrP4SPMkFZOalyZyfkgDrgnSDuop1vuAbXdRWUySpRZW65Gzi5GTs8h2jrI888flXPzxjmbTKDsfzY1aNAnGSBxXgFPF42EmNwch0X2kdhV1LBJIHcSR1TDo3xMIcTxCFbkV6XVbI6wkM91PBwqYIqOBC0zzLFzbwdJ5670unWpSwe6Etc222ThzW+oLlj65dX1R7rh2OWKUqqaUB+lccp1VSJwOI8k5TobIaQysQyMFwRynNOJ+xyEf4OYtPHrCu8+e8ehPf8bPPvyQv//DS37/1Qtu7rfMHXa5kHvBeYhDsEz0Ijy/dXxfumA7MQkY0gUpRZa2RDPwtHY85IMRs3Or+NaJ0mpKpumjKY90uLZuChXvoRr3sTyUJjsl61BacqNikzchFwtNW2Rk6JmIaSQmw6lZwkOg5MJhnsiSNTEMowhlWaoFHXaLT+7NOqtFFnYsKygElnws15fgNduGenvYSMUgUbFLESNEm7au5XDSVCz/S/SBUjKpVR1adFzUxei8pwSoNTCVmYOVrmiF9SS7wJaYgd6X581LGBGdzHDfG9bE0aiwp/VKGEaGGJhndYag5VdO5iR1yeA9g/dEp16ImCLT3ZbP/+kT3FSITXDt9avX/MN//+88/dNfMpQDJ++8g1+vGGLi0ZMLfvSLn7L6r/+Vu+2Omtux56M7j09JwYFOWWPjEIlEsh1a52dnrMeRk5MNMT4Q/vM8cdjt2O+nh9RT1c8p7C4mQlRJj7iJSMAbv+jwyKzV58rogsLyXGW+LXz1yUumeknvjzk9D8Rzz5giz959zP2bma+uXpFrIU/Ike+WDC1tAqrKNAK8KcG1NH3AzkcNiYgvCDiICsz0eEHQtKPnaa7q0JhLJ3plKwVTP5YGh9LZl0pxgeI8I3IbS9zicGkAgmTQtVNalgR/HAhjogVvqimrRzUVnnNd0u95MkOaiTcMvsZXDtM9aWis1msuHulf63N4e/32yAX9YJdCbw92awu7oTuY5opripWYSmVq3dx/OggeJgTlu8QQCDEq1Kov05am2Nat3wBwMUgn3sW9K0fFKzKhVbL5JJZJcnk/+yLXaVrpRTo8uFoXJnQphse4CKd7wCgbd3TQRptqxuDZpIH1MDB6zypEhtBJTnACTYXz+15oDkpctozK5vIR752dwPvvsmmNb16/4Wq3487DhONQK3OD7CyyeoFACkc9fzdPAN3Ru9e/bLL0OGZzNmqCs+ayrl6CbOom5zopOpvczeVbiz7v3vBNlywsk7Gm+2Bpr1LeOF1KZTp2Q7vuTAoI4IgtUnNj8V4256S8yIVSZh08OOhysybnzHuhTUyyRWXpF/OBLL6CxSjnDIMu5gDvNMl4LV+pFnXpKtffTG8gYrtpKziW1xtsQ8kMvYNX1EkoEGsWP+MhpUQLHdcacym4tiijNPTENBANxhtCIHRHmTMxBA6TNtcFBgzms/BOVZ4GZBlJL3lqjIExDQw+kHwghahYEzrROZKXqdQRmd/eMDTP4/Wa1dkF7/zkY7ZDICbP+eMLSnT0AHOZGb3jvXef89HHH/LNN9+akdSMkh5cVs5TTFF/7iEypDUxBVKMnKzXPH50qdiE3pgOB0opxOTJ097g4sAwjpTSmeeqSBspJiTBRttl8IEYPeMY8T4wT0XCCB8Iwwo/eOa647Df8erre8DzwcePORkiPTcGn7h4csab8xvu396yHlaUuRDDYGGIep9qa1TrmHdOen7Xm3kPlMSsIiAl4vZemeaDcY12WXpMyBGYmuphXWtHX42+OUdGKc1iYER0B1ObiVszCW6zU8v4pV4rrThwgcWkuTQpLpWaHsc46tgOXt4F5x25NFqbGUaPD431JrI+DWxOA6ePzjl/PFLKD6w+ko+g0gnS4ZqULOeJ/W7HXDvdR3xKFmOgAzemQQiatzx47w1qkByvN928uGA3bVemewwcSpWsD5GkrXHsaV7cxhpv7Avp2LS42L5lmvl+PPBioJFzdgn4Aqrcuo7OmBJjSgq8KhnXGtECtsYYWIVA7B3XqgEKipGeW+e+ZFoItAC13pNzZ7M7sD4759F4SXj6iOena765uuLFmzfcz4XiE/tcdNh2mLPglCnLUNSq02bkpRpafu5qD6F3ztZ+7cFLtWivhRqCDii7UOdSGVwn0s030nGlkptKk4aUdNloBbOyns7UdAGEKJy4ZG0w3v6+2qxFLEgc4IxziDFKOlsLrWVwnZSE1/qgYqFViFJMdVVMqmKzM5fKXLIMZVG5OrtcdDhG+UAWpUurjeKkhClok6q98v1kW7oug9VgBLT9nnpUzXDl5SHp5pOoPllooR2a0dPLg7HQW8dBaUX+Ce9NEis1WStZUFkaLMNqofm1XS4x0IFF4tmPfo4YgzqqnT+mxdLacZsExTkPHsbmGLqnt8LsoEz3vPf8Qy4+fBe/WbGfD7x5/ZJ3nj7DOxHUz58+YbVK7A4HDXcmPXbeEUngG6cna54+f8zF6RlpCBaop+C7eXuwdFfbbIBxHOh0QhgIYcV2e2C3n+mdY/R1KTKarULi8vyczcnINKmOchgjIY34uOLs8pLzizPmNnG3u+PF6685vO1sTxoXJyNxbLjBc3Z5wfMPDmyvtuQ76y3o4kqaq8YPueMBj/fqZ1gGhSFRyrKJLtupQXwLvOoV3++8huNDrSZpfhgM1BmxnEXazFuzDdVZranzSnuo9Qh1Yhwa9ll2L2NjrZJChxiOKj5FixeGIeFdJ88HcOLNfPSk4FitA5vzxLh2NDfpYh+bcVs/4KVAiAQraKnLIex0I86lc6gNFzuxO5JNVtSGMx17jEvwmFPZva1GsnEDTpN2NtOU60sOi2XeYOqILk8BRsh1lBDauw4Go52tSW2JL7BtwkhOZwqEo8MSe1kd6g9YlC9OWSJjgjGahNO6DLzJN8uiwQ8j2YlgnbojHzK7aWKVYaqdw37m5GRms1px8eSC85OR0zHy5vbOdM2ZeS4WGe2ZgmPvO1OFuTXua2YudmgYnV4x6ZUPBtUpm8WbXBSvAnrfTNHkVLaRUiT2QmjuaP7CHsKMJucFA+0O5mMon2dIo+G+MM8HsO+ILqzbO3Evzis6wMXwkKHvVLUZx6TYCedJTb83HVKKVjyjUX7hDTJLdLNqWhvYn9M2RbsEivPMvUn/jW1dR5OaxVQHbX6um3z4eyt1dzrUm++0Jr4HH8jNMZUCVc9SDIHNuCIanCcdvjdJsXEipYD3JAvkW2TVzS4LPY/auEXCLxxHP0akSPhgMsWmeBSasr98VNtXcw4XCudnj9gMI7027vOWz373j1zVPb+6OOH8ZEX77hXt5Wtc9XB2zjoFToJnMFXgMAzk1pmLJaSWhkvqI/ZeIoL9/sD11Vumw0FxMyUzDpFHFxesxhHvYLMaGaeZw1TIcz0qfxTyFkhDYFiNpCGxSiPRa2iQgMUazb0DJ6/JMAycbU65fHzJ82dPyT3TfIFyRhgh5x29Fi6fXPL8/T2v/nBDqifk/YTrxT4vfbd+kSqGAC4YbyOYGIOJY1KoYa2FYJlFKtxaPCpLJIk6DIK3yd4EDzEmg6DMR+A6zQfqEpFvgZBTVpghDlzQYY9tHuUgKDU6Z8O0naeGkuA0GHjnCVFcRwyOYQzEofP46RknpyPD6Aip0ShM5cA0737YS0EFGx3CUtgtkkQa8IU59+TeoVmC4oJV07TiO03rzXTwDkXpykcks0/tKoNvTWSPFvxA7YWcpfUtziY8wye6C0dFy6IHlyvYgU/6Eu1WtmEMUDTDkcxF/z/GJSJCSqAhJVbBHU1VHqREsE0DZ8FVhsMv0Tqj8wxBnc3b3YFpmuilsMobhsHz6GQF/REnq4EpV01U2z15ytTQmXpk3ozMrbEvhW0e2eWqC6er9OiwrMcu0IIypZodMMLjPa0U5t6gZqidVRxoQ2SpO0zBE23N7VUEZ+9dxUPOW0CXYLfQO7GL0+k85CyF5fJ1ehHCcZ+Wqktx0MrXCWkgjoOZ2Tw+V9pkhTMd8jxLNBBE3ur604EavBJ3sxnDJJPV5SVXfWDunbmpxFxKaEmKxad4kg+auPsDnOS9+ihqzvqxfaB5z1J2hJN6pBUNLJgabLTWrVyLVYc2aN0ymbQ9xiFB70z9oY+DLqJepLK2k6VRTiGA+g5KKcwu03EkJFl0NILXVFuL4pNzgLt8z6FsGVxgbpXDds/u97/l5GzDz3HcfPEHdm9vub/e4Z9cks7OeXJ+ysXJCdf3O7of8K1xsdlweXnBfJg47Lfkeebu/o5pOkCv3N3dsd/t1OLVK7UELs/POTs7lYLHNdrNHVfXd+z2heAHxvWK7mb1KQchDqUWcvfsc8f7SiPjvV2+DQ77A29vbvjm5becnp9wenqiC2ezwvmB0FbUXJm7DFybszOePC/k3cB07SnZ0IBi8TEs94Fg6OWSKK7QapUb2A7n1k0a7zm2/oG8BUvEREqDiOnWWMoEnJPoI3QUQW8DwsEpHbV3800UVbfmVnBeZ0vzwfgwDTFD0PC2xD87HoTSKarlMUShL7U3CJ71ZmBzOvDk6QUnpyucU5lQYWbOexoLxPsDXQrNQmGWlMDqPCU67grcZmFzq6SkTZzwal3MVjxv5CLOiumbymRalS63dTk9m092apvZx+SPOnAV2JVM69ucPsDgRRg20zlLQmYuy54Fq/Tv8SFgeKlkrQqf06ZyMkiGloIipJOXxT25Re4l08jCSGBGM7qs/aU3Veh1mJoavQanaOfr+3uGeaKnwNk5DK5zMSbS2Rm71YHbGNjt9rRaJZ0LChU8ZGnvt3NlarBvsJsLt7uJ3VQ4tMJMMCWLVuRqTUzRGx8AzHTup4lAoSfP2rqBoVtUSKD3csRd24LJm6wUp5h0Z1p+75wuzkGSydqqDjiTFX8fvnFu6UsA37t8HyEw+EAP1eDEzjTPuCh3dOmO2jVB+ygzzzyL4BWp++CTmC1gba7t2DsdYyC5YMVBR1bYDEF60fXdLcoqDS4pRFM4LZ0R3TL8bQjpekGdBa+VKhIQgNJJQ8RHr3A4AzmX96LbswJYJHVXFARO0k/94jik9st9RgVIwcQQCwyrn8k7NQxup0nx3UWfQxpHhuC4+eQTPntzzXw/sbu9513vuXv1LXkc2ZSZR5uB+dljdrmzPcxsxhWPTs84hIirmUAn7w74sbJaD5yebhjHqMu7asCb5gPeezabFVPJ4hrzxGHOrNeJYRyJw8A0Z3LJTFNm3s8kPOuYGFeJUudjIFzDEdKacbXCB8/9/T13d7e0UvRrrVacvDljdTYwbjwxNk5Xnl//+b/hf//ffsRv/sfv+W//5T9z+/pbmLO+erRB6wsUJB2jA5fMi9KtM3vxCilyptaqrhdnSQU2oNAfIGrBTtFEEMZaugdYqFIpxlbOucj3YebAY3eMfbcek/qbD6Tb+4lT7lfvnlJmFeokSfGHcSCmwNnFhmfvPuLpszNOzxPdCdpvPVNz+WfIyA9yKcQo9+pUhI9NznE7Fe5zZ9s9YxqZCZA7IZrxp3ZKFiEcFnKQRvdy8s210ewhX8hErclavTuCQ5aJUYY0EYv6NRfOW3BJ9VKu4CSVa335cqQG0QdsFwpSn+QiFY6PVjDj7aFwncGp5jNYlV5rgoaWYh9F5zZqnhljJHq10rV+4FCLII8O0wyH1tmMIk79/Zai4gdqKdRZEsj1KtJ7oHXTt9lE2wZHLo6cPBnH1D374rhbb7i633O9n7ipjgNm4gMyjuYtWru1I148u859te4H0vGAG40E7c3gmG5Jtg6wqbmbxyQ0r67qXu0Ai8ei9iGNLOmYMahBrbvOakjaLry2D4XbSQXV7UBu3hHTytzIwUxRszJ5KrRZ67YiTYTjlqLmqmw69JCieI6uYp7qhcV3wySjw56FZr6O/vAMOHUEt5YtLlsHQHRePEM10UNvQKPWia4RUNlazjqUqx3ypm5ywbT7PDTfgW3MPCipusGW0UyFdZ7BMoRSUHDh6PXSqrEjyCHcO3lSaZXrjeQjvnTYHujDPYfSKFOhHQ5cff4pq4tLGAeePHvKs5MVb+9uFQY3SShyGyGkSAiO0Dpjj1yenDGsPTf3EyFEYnCUXCjzxPb+nt3ujnHlmcssYHPwtF0lt6wATe9JmxWxD9TQaZM2z9xmvQPFyo+AECNnF2ecnV+wWq1pvXN/f8+3L77j7v6G5m/x19cMq4HVSqqsy7Mzfv7RKT//5a/54ONfcJj3/Of/45qy3VO7VDvRK7reu0DAUbqZyBq4qO220S1htB2hvG6kLwY/99aP/g0VsFlawHKRtGbnnyS8E02bJkp37t3jQxcsBITmSMEzhEQIzjKudH74EHRm9irPTysMQ2dYNcZVpHnwA5xfrHny9JxHT9esTqAxcdjvaFkVtS6HY9z5D3YpzDWrKpKAGwZ66xzmiamL4KNVKU6ct6KNTplmXNfk1YNWKmHLne4DzXwFU1WTE3CUYB4jKQxnXQ56F7zp9RfNMMcDS6u+F8zQFY53TAa1bUErYJDMzC6cBc9d4htCjObsVQF2tIjrKc/HCA4RVhZEZ38m75ThZIwHFckQlwt6qh0C7A4z03RjU4Iz3beXxLOob9a5YAqdprUbSUu9D7iuwyelkRQGxnGG7R43Wfa78TALdh1iYBySLlG7mOdS1fes81aekGCqslqOzWXQKXn+XgxFO3I3wTiCYEmcQxCe2ov4GHkUVEzvu4gw5/Xnas5kfK2yCDFaB1KgVkWuz7VTFrVVtW/Ra3BQem02ubP+2ThEhnGgw7FgZMmQCthz0TrDEO2lXfobhN0Pg2CxhtrQZHjsuOAZh9GiTbQNJecECRXbNrB8HF3nFimymPzcEYcGluXBFFUyHsXoaVUYeIyBVuQNWiZT59TTESQb0zNtxKn38fh801B6bu+kkJjmAn1PM1Xb9d0tm1qpmxX7ktnf3jDvdnpXXWAcggpraMz5wJQzKWyO4YHRJw6HA/v9QT6K6Oi+cbO9osaJuBoZzwfeGZ5x+jhTiuPs/AnjuCYMK1pvbHdbSchb4ebta+7v79U4Nmcl+9bC/XYrzD7I0KoARm1Lc5Y/gDt37OZ4s77m2fPf8Jf/6q+5fPSYZx9+gF+tmbkiDKPGQBegF2WuhYHdXEzvrxiXpfWwdk9rkp2OKVmEtj8mJSv7yURDrdtELzq7NIUELt0nrXdaXHKjGs5H4yoEycfgLcjOhs2mTbG29rDBGodA7cToGMbEap3EQyTHxZNTnr3zhNPTFeM60urMfn+glEwrjXmaqbkQXPhhL4XtYYePiR4G6ImMzDm7PFu9ZmUwh2+p5louWVV5QX2zi3Fp+dMKh+/HlfrYAeDt1rZLQWFQzYjMQAidUjKlzLjaLb3RXK/2AgW0rUy5QhTBCpYH1AuLkaujCa2UrNROB9kruVE/h/733uvxXe5GZLaGsG2k4CHo4eqLjJKlT6BRMUnt3Mi1kHwjxUSKgXmeyXmm8VBK0rsOPN+xTUeHiAcrcMl0p4JyH0dcSqz3e252e/ZN+TVtSJQuFUuKywWjS6zYQVq7BRY6yYGDc7r0ArhSZAyss0F/D1WZ3juGEKVWwrD7YEVF0S7ybnlOXcS/t2Rc7xQbrDRZxZlIeqoDdl+yQWaa5B26fHwMUp7hyKVQSiO4YOt2ss7saNEmHGEwcUbyO1Snhr1FfuiCI/nheKkvEl9vzF63n8s7fY7RntUQI9CYWuYhpqFJduof1vQFnsoLudyWHuoljloDjlJkZVhKwTLwHSTvLW1W9Zs+OtYxLCwQ3ULmvHfU4iht0kUxJGqItDQwx8D9/VYKm2mSmiYGXu9ecndzw3zYQ3cMw0iIjlIzhzwxTXtojVIH7rdbdgeYpj3b3Y4pz3TXSKMqK/1U8DQuz1cMcSCWkVV2lOr56OOf8c7zD8ilcZgm1psTYgzcvHnNl599zpvXr5U7tZ/Y7fZs7+7Z7/a8fXsl13caCD5Q5izO0tKMcy60eSaFyBQyn372JV9/+4qTR084ffoO4+MntDdvBLscDnIpR08wlmkVAiRrBtSLLejHOKMYA8O4fuhsxlGL8p8wF7gEHV7y56aN9RjAiaf0YlE6i/O/oXpPOcEF37qj7NSxBAlq2KEUXGioPc2xWSeGUR6HGOH88oT33nnC6cWG2gvlsGfOk7wgRRxGyZ2ShX78oJdCGKLSBPEcWmWfs0lJ/TKM6997JZC2WShaMFy8m9vTeWh4c3w2y1l3BguYr9fw19rlgVg09zRLC+zWK4Az3LYdX2KZPMx8Rj/icsceZtfwhhljB9Qin/WG2hzDr1DPgTJ4pI5xXZI63Q79SEjXuVCiY7BY7O70ewgeMPiqSiI7JoezMhBh6ZDrgdaKpsPQLHtFhJjTuIlzUjw0a+pS6EdnwHMxBMa44WSM3EwTh1rJ3gnL9BKsLtLcjgUIdhF1sXuGoCht76x/oknwGpyKXhxAqw+T7bGNTJ6K4DvKmlZuUmnL72Wqn+XPirMIEkeuzYxB2ghyx3JgKpNlXhW75BvyXEyl0FsTsYz7Xh+wPqdWq5Q/vdKqfX4umArFRIi5QJPWP9hzE5zIwmqbQ20ic+eiF51QRJJbBlMPgjd7MNLX1CdHbsFLLlobVOyCswti8J7QBfWB4LRcYKFucpFcMXRFaIcUoVST/UryvajF5FXRFGgfP3EYGE5OODk9470PPmBzes6nn33G27fX1DQShoGziwv288yzy0dcl06eZqUb55m5zuwPBw7zxBAD+3miXC2fadFhTKcwc6iV4azz9Oyc0+cnzH5iqoVpqswztJq43d3y3vgRJ6cb2AeePn3K48dPePXyTA15Q+CwO1Dnwnq7I6ZEa1fMh2wbip49zWhyrWPDljg0By5wvz/w3Zsr3s+VR++9z4/+9M/45uUr+n6Pb0IOAuqy6M02hjGSa1Hvhqm+PKbeQ34Fm8h0xNl7WKpCEn2IOodatUWtK93B6b/LWWeJCw8FX4t02xkf2VpFLY4PnRqlZuo84Xxns0mMq0BKMCRIsTOMkctHpzx+fMbZSaKVA4f9TrEYTefqPFuMT3PMh0oz2fAPdikMq5U6eZvDZUknmnkIpNMVqUfF2HoRl6WpkLwv5jM46uX3pUBX+iROHoSOZczb2n3cHugWhCdIKKUouWv3dnPbu2jWe1qn9/mIP7u+XAySO0bvjzfzwh52GrU6adxp6m8J6mRYDhAV8pTlTqCUQiPagyNX8m5/wC3Qik2NvjvcbHnotZGruRnHJD4iDez3xQwznZhGvJHupuOB3i14yzNET2io/KbLARy9Jw2B6Ad2pbLvld08kxs4F3FOk3exaXZujeAqwcGIlR45aAZjgRQcSrO1dVZxl5pmQlD9qR1mrRa9ILkcpx3vPT4ZFGYvs8dUXl2Cg7kV8UxO6pO5N4pz1OCPxqN5LsSu4L7eBPskH/AxKUAsWLCdfT9yj3YzZfnjn623RqUxBLnxu/E2LkR6ryz1hzJJfl8xJIKS1uw71SFMlMRw7pgowhmsKSiq+ypXrw92wOj3WL7P2haJdGaprSylWDGQeW8MLgoWJTHNM87ZYFCr+B97B0KIuKCegkNV/s5PfvkrTj/8Eb/9zT9x880L0mZDSAMDjieXl3y73XM3Z6Y8S3WGM6+J+KDdYY+nEyzkUMmohZ4grROXzzdcvneJ2zj29wfmqXHYF0oJpLDhyxdfc7ebePr0HU5Oz9mcnjHsdjTvWF+eMd6dcL8/MLfKdr9jsj5w0LO5SoococP2cGCfpWQKuGNnx26/59k44tLALldyjPzZX/+vXN9v+eRv/zsld+a6l2Gw6TNTurGnOFXjFjv7vSksayvUWb6fhiTeqiR9SAyubYGfPbmqHMsbt7AUZTmDXvWcqnrT+aiBqjYLnKwUZ1AqhZwPOF85GRObjWNcQQiVFGFzsubkZOTifM0QO/vba0H5RamvQgEc09wo1TFPle3dgWn/A5vX1HQVGGJQImebabnIRYonRMEJvj6YLvCCjRpOJTldUsJcly1B65SPVrBjt6T67fWyGJV/JOiE54WjosWbEun4l72QlpPJEoMdhNTrBTPlC131gUs1ZatVMbYe4lwZUsJFZTMpd0aJj64rZ772xmwbSIzRQuecPSjgCccwLdcdvqhNjtLpLS8iK0rQ6u18UDhaDIQ4QF9iyttD7LKRZkLYOtE1k/TK4+AbjLqfcN3Toy60GlTuIZOYRsrcGxHH7BxT78Jcl4fdLtDe2nHKb3Xpv7awuQUOdNJXY19XcNFIfSNcjXBXFLNWaYIm5AqqNnRYuq64GBUrScEzl4qrlez0q7UuYi6kdIxOWMxDoLunlKqNxwdil8lMWL0CHc3ZaKQt+L5srFZI5HWhRe9xdgEeV4naCCkxSLMoMt/Mgd0IJJHqgaXf23l3HED0qWgDUnChKjmVrWNkJku8trNXwDK7qgLrhugJSZk6U870Juc5adB20zv71skvvuHH/6Lz+K/+JT9fn/Dfb++4mybcYeLk7Iyz0xnXX3A47JlagxSJcWAYEsyNJWhxyc8KXhLsIQXWj0aefHDBk4/OOHs2MOU9rTkO+8zt7Y5WxFGUeeZ3//gZ81zYbM748KOP+ZM/+RMuHp9xv78nl8LhcGC33XJ/f8/r169oB0U/rFcrNqs1MVg8iwd/cORW7QBctkbh/Ydpltt8GDl7+pRf/8v/hf3NHV9s/wGX9dmJ1C+UWh4UiDbRY99Lpyo6PxqH5jRoNlMNORdN3KD3kyYIfcoZX5uJMzp4lSY5t2y1pnp0kOdJjY+9C2L3grYbB3zInJyMPHq0ZrVSNHeI/1/W/uzHliw78wN/aw9mZ3D3e28MGTmSSSaZxaKqCqVSqwV0txrQXy6g+0ENCEJrKFWRKoqsnDMjbtzBh3PMbE/98C07N6v7QdlAJBAkkxFx3f242d5rfSMcDoG7U2KaYV1fUMfORukNpa9CrYOldC6XjetSuV4rL08LtXzHktRtrUwk4jxxnCdOZTAvqw4qU6fsTpisRXhYNPOQOWHv0pzvihi7HXZqkNOhF4InK/oUtJeo7DIwHfpOpBLEXu8bhckeT4h+CGViEF16K+FxOKJ5AJUmbA/5wknkqnrCaoE+SWu8l7KkGIlzJDRoZWPEJnOVRaofImUYo1ZqGzcTXzQjkohD5r1W1Y4mFQ7kKJw+5omU9iwfN/f1oa3FJ+XcXfYI0Bp126ilu1MzkL1foZkx5okFYxmeoBoVU64S30I32HrlpQ/6iNRghO7kcDCpoVDqZ/LPdZhHjusU1KSEvr/eOqMvxJA8D0g/BzvHEORn2GnsrTWKBWpvLK2zduhB01QP4aYAMXfQi2/xELObySt+UiWh37vF4Qm4+v3pd+3XVlD3Ag5nmT8fKWYCCi3v/rxJ3+64Pt3J6n4zJ5WmeJDopLYNV9KJAdbAYoOtbjqQugqo0hCun1KCpiGiNcm0b017XX3AZbSbIGGM5m1te4eJxBK1Vh9OJvZcp1o7z89X/uHf/x1/bollWTm/ecP48I4e5RBvtbEtV1pRGmwbjWxwd3dmXSLLut5grz46SVMRBEVJ58OBkJMGva1zeVp4+/UHPrx7YrREsBd6S1xfNq6XlW/He37zT7/h3e++4ac//wuWemW5XHj88EhdC8vzM22Tmm8OieM0c/QsreXyQgLO80RjsJXGUjQ0pJSxoQ7rdVlJd3fMx8xPf/Yz2vXK8uEjv/x3/47WB8cY2Jx/THFQW2EX/O3iDxoepyMYNPjvd/RPYoddllx7Yyub/FVDv5NbGrNHuuyoR6uFFrTtp+SJuX3oHAOGFeZZNav3dzOHGaYk3jRPkZwjkUZZCqXo544mQ7Eg+cF1bXx8vPDx8cq2NmqFbWu75eG7uxTMkvAxawzX+IcQ3ZmsA3zbFqb/BHvTpUAwqmPE+PTUXA5oQY1AezJoGMFLX/Qh1lpvfxZIyaR47U+3ehuqwiQELClzpBAYId3WTMFRuItVUpdgyC4+Okp/9ca0sccYewm8OclVKodZEQ3dBpYnwlCtZzEVcHfH8avzJXOKkl561s2ufVaOiWSZlqSlD3SHuXBCKngYXPAUWNUttmFQ1N8wWqWWTZBKyKTd1zEkxcwpQpDaZvROC66vt4jlCKWo69UldI3IISZyyiK167j5JiwJP92qS1o9VE8kBZJsuoosjuGd14nq35CNJjNXSCxlY2tNXIKTv0tpbEhNYzG6vlxigzo6vXjbm0aqW+5MdN5o7J977xo6LLrrHqlyeocuJVK2yNjL5f0ykSnTsOhhfl3QT/TL0BC/gosn9BkrNDHCzTG7V486FiEpr3sZPqmJNB0m02WXooLXmm81Mkh2SttgwGGaJWE0QZ85R2KK7JbKVq+CnAYk1GlAioRh/Md/+EeeXhbuXr/hx3/257z6659Rl4Vf//4PXC4Lo8PDwwP9MFM9EdRAbYCbEoiDQUyBiuSjhMhSNp6eL/CucqiRy/WF3/7yHe/ePrJcCjYyehsy29pc8ty5O8/MIfD+D9/w9sNbV8cUqF2y49JIc2aOSbDKujBapJfK+XAg5MhWK2vamGJkq521G3OMrJcLtRQm5FWJd5G/+du/ZXt85PnDe56//ZZuAz3CQ4KO0MGzjyrKtGq9U0f7pO7y7K/eG73oz7abQ7m6FHz4hqxNMJjI3eAcJ7cLQxEZY99ImkQmh3nmdJo53sHDw4HjMWBjI8fBcY7yA+ElZnXQmmEjUkmsa2HZCs+XlafLyuPThVUNZ5glek+7aO27uxRK0ynTt41W1XUwDJHMLuItvThTp8lGl4P+mdb6TYG0basyd3ZDjpOW+Iu3P5S7ogMgpORsv0xkrX/KPmpjeAhapy0bljQh1iZsmOAv7K76CP5ydxlC2BUuMUIPhAQJXQ7bVnVAlI2yqbBjcrVAHXJdk6Q+6Jt6fNvW6F4veYMAhlQN+8+Ykm79lJNjxXJsQ7+lnAYLOtgEcOnASvkmoZQZLJCnrAwaN5ztztqBH2a7wsEvC1plhK6fF6M3WIou1RwSIydPhLSdrleqZFVMdPNKwOEFNQxuwV2GeV+EDvuApLE2dHPUInXZZV3lzAbWOryDQ+5lRS8HylDBS3f8HcO17CK8LX2aqPc8LRvSZXfz5Fj08ze6LtaBAsQYxNpuJD7BbgICs+Dy5CCuoUudtivQcorMOROHNugeUNKuXy77lrcXy9Qu78FA5GjyGGyGCP1o0LxEJe4wpX9uMQay+T8PwvT3l9IPGUWQT8pHsuBGU9OFOWB5vvDu62/YtspPf/JjHr76ko/ffM3WBzFlzuc7Yk7Y+cgWlUD89PGJVnSBmkHrhRagjCIfwd0dx/OZGBPb2hnPg8tL4fHjlctzoRU9tb2tGI0pTvRWOUwTf/nTP+fNZ6/57e9+x4e3b5lyJqcMQwm7968mDimTQ2TURiuV63qVyCMaoel9sdaIrTGb8Pw4Gt9+/Xveff0192/eKCI+RO7u7/j53/4Nv/inf+Dv/uf/mVFXrGd6LWx1dYUgN7FAcJNtiMFvR50xMRoxZrpFqukMaL25DHyPbNc2EUxwuoyQ4ybySDk5b1Q8CbWg/oPM/f2B+1dHTg+BnDqHDFM6EISvSGgTkobMpMKsdYXLtfH8svJ8WXh8uXK5bj5MqkMjepOehfEnnfV/evZRkuqh9sFl3bjUopfWs2WSVyQ0Z+81fYkYq/7hiZGXDFTyRQVr7Wmf7IeIk3Vt1BvkEINq/QZd8s0x/ig6NmIxqYe3NOjGCPl2M0bMSVKXAeKKhqHAssCeNRIIKesWr5VWBzUofrqWSmudZS0y3Q0V+ahbIgofL00xBWshji63rk+oWjUVKKEUCM9icdJ2eOiaBccshw6p4ganMlQ3OvzgmJJMPjGC9UBvKjnq3R/AoAey5UwZxlYqSy20aJ6xU4lpIk+BGGe2F+HQxaAgqCx0FGZXvQSl66Ju3SMxtnIz6OnuNWKSBjuYSGpr7VblOcag10azzrLzCTFL2+2ihc6uSlrUY42GCgu6bGJMDI+VuBUhIcXZLQvVouc3gdyN+jO6y1Pr6OQRxQGxN7f1m7+Fvrdb6C4qtZBNRLymfW0pyY2OyWQUDM0DHJsgKNxxLaIlIAxwr4TVJRrixJQSW1+JKZGC2rYsQBzqx87+nIzWHTb1Z0oSe8pWHZcWhIJfJmEoi+x4PvGDH/2YpTZ+8Y//xMvLo6Zz889qmMtMV8LhoIGgdvkiTDE1l77RR6ONQp4nPvveZxzPZxqV9eVKIBH6gSmd+fKLBy7PC8/Pl1vSayByf/eav/zpn/P555/xu9/9lvdvv6ZfVvJd5gdffsH9+Syesjdt0H1Qt42nxye269Wznz41uMUghU+tlUjg6f23/Nv/8f/NtXfCYebHP/kJD/dnugW+/+Mf8J//V/8lH54+8Ltf/hM2ZvJI5D4JPYhBm4Hn1IzaoUpFWbYiz0SaSdmh2aYBpjnZLPOtnzHgQXnyIGDKV9o9DmMMCUpozFPkfLrn4e7E3d2JwzFxvI8c5sCUBtZWRtukRuxGb8ZW9fUv68aHp43H58rL5cpSCqV2SovOXSSfI4KrNb/jSyFk3Ta16XBZto21VUZU7vjeXTBGJ6NpjdGoDcrYsV0Zu/YSd03unoPvc38fnTgCFlFP854U6A9n71KA/JEU3C1WgnpGiPIEjOFysa5ya8wxPqQLb7q89mTO0zxpwmxaczGFpvXe9f23wbDI1rqmOoOYFXTW+0ZvUmfowDJyTDfzEeyXwPALydULjsGnIBOTDrJOKf3W+NRapXvvw1aEGwcb9GZEBBftKMvtJPPYhA5ct43Ni49K7xQgtEGlgg3y6cTxeGRKicvjE0utjAapa8rspTGqOIU++u1y7U3JjPJSNZ9yI4lBaN1TZvVZm/97MCT9C3qZylCoX+2K/l1bo5lgv7GvIGY30UGMwT0DSS7lncj2hN2yk9IxS4bqZr/h8STNsX/zz6x3pcSmIVVY9UtvOBykb6Er6h2w0N1JrO2k1aZIc1NWTvIcr+qb3GjKoGrNpdD77713sCD4pwvuUlqqsVeQ7matiGFdbmgNLtqYRGIONzgKDiV0giWvt0187/s/5Ksf/4Tjqwd+8NO/4N3HR/79f/g7fvXb3/D61Wvm45HreuXx6ZF3ywvXYITjTEqzAvFqI1hkOkw0CoWNTuR8d+J0d+Z0PrNui2IueuaQJt68UXBlDC+czw8c8gHDOEwTf/aTH/Nwf+btN3/gmz/8lu1yYbLMMWYOFphDoDhvdJxmogW2GLk+v2iyLs3D4cxDK/XZjFaZpyNlW1k+dv6n/+F/YCmF/+v/7b/mX/yrfyF1ZE786Kd/xt/+63/Jy/WR61MiMZiDUcpC7ZXQBdnROrUoAj8NKNWHUH+ZpQYTd7QrjkwPFmaIFAeFIw7FsuxO57ZUnVY2OB0PvHo4cX935HjMnI8zp/NMOgZC6Ar0UyGtYuLr4HotPL8UtmJ8eLzy+NK4FmOruzzZs94suaLOg0O7Yni+00uh73HMtREHJKKy3INSQ1trioqwSqsb0WE02cjkQpaaNBByYoSg5qGAW/VxeaA40P0wtZ34ie5jsP5JCeI63yF20Tc9wS4DX7H2BFU/EFLUSqrMNWNKE4esVdWGJGGjVbkIW2dbPCDOIE+Z1jqlF2JWmB/N+4sHmIk/SGFwfzxyPk7QKr1unsCqHzB4llJCVv/o0RnF5YWYJyWMnUvRNqGzXoa2LCs321oVI+1EYIgTg8BSOxcalzFYSmEdQ8qprjAyMwi1s5TO6TwznSaWpbO8XFjqqkA/l+2OPkjsrszmERDeP8u4eTGsqYFujm7AM0FIuw9EIYeKT1aQXKMk2PBgxeHxytFI0yT4aijhNUSTQqRLz30zIyIMvzn3YAHnqPBI6z1mXYU/MQbwy6X41B68sKQVGdFijP4SD3IKRMatohH0OW+bsqVGH4QIcwhgiThUnlRrpfZKcye1CqUEF9EHOU9MacLczBmGwvCaj/8BsD1EMurPMOvcwvvdQdv7kLmwIW4qwAiBDRiHmXB3R50OvFs3jl98yT+7O/DN29/y8vhIL411vbBcHh0DN+oKvXiyboMeK3nAlDNlWyUFtsQUE19+/jm1C/qwYGy1MNoz67rxcHfH97/8Pl998RXrsnKaT0TgN7/6Bb/7zW/g2nh1OHOYZu5OR0LvXJ+e6L1xnA+CXHpjXa9sZdFnBExJkeshGUvZPOYhYZNEIn0Yy+XK//5v/1fqdSEy+M//zb+mG3z25ef87b/8z/jm7e/5p3/433h5fOT58kJdVzCVZMbdgBoD0zHQcyIfJpa1oi4ohXmWWkQwO5eZzUvDLLiz35MDmoyvzd85QyGtp9OBz16fefVw5nCIHHLkMBunU4DU5BfZCoHIGDNbSzxfVt69W6UoWorURTXRxgSms2lHYWjmZ+eg9Orw559GKvzJl8Ics6CDYuQBqXdi866D4G7VNghN0MwchdHfHtzuuus/wmsHjTI8Iwi7RQOMYTed9n74jz8aiMBvPl/9y16kMaAHnyB9lTOE7ZrHWezS1BDMLze7VTFGM6agF5EYKSFQS/eocGGOtVf6aISu0hVzFUzEOE2J02HmmBNzjkQ/WCx7leKipNIAtxYtG53eCjakn96TZevwpiY3tCjNM/pnKeVSVxoX080HoIG8MFh6Y7FBCZF1dPVdtybCeYijqRVeLhsWXkjdWLbG6CIzm0U2V0f5kU71dMsoYc2trHyHfczlwKULatp7p4PD9sPJbouayCvqTCgO7eCmxZwmEbxx0qVEhxFcJLAnK+l/1i5yNYRArx6aODwMsWt1EuEXbwok64JvBE2JoJZfQF8jJVWbtlH0QFm4hZ+1Uuitk7Mu7Ihn9DPIQZJRuiSv6pjWZiM+QQd5iol5PnCaD4wi+NJap1c8IVX/jLwxQ3HjMcDQlDkQDBEc994Pmuj1qekwczg/8OG68PyL/wiHE/dPT/yzv/1bvvezv+RwF/jF//b3XMrKPAVyhNhEwCmDSi9SQp9H2RblkTVBVNTBHDKHlOmWaPcPHq19JQ2kuuudvm3EAceY2F5eePuHr/mnf/gHrpcLr+7umedJcm8zmQsdAKxlo0ZFej8+feDp5ZGBpNopJUKOzIdMbBOVzseXK8OHx9SNowVGrfzyH/+R/+7/+f/gxz/6Pj/44Q/AAl9+/yt+/rd/y69/8ytevvmGp6cX1suFKSmFd5qSc4uCB6dp1ueQM9vWWZZN358nnra2kWxiNEVZ52Aub8YP4Ubrhd5WpilzOh45HSfu7w68eSWF0TwFpuyS6r7Q18qeAr21wcu18vS48PS08O7DC1uRrL8Po3UNX7t5kd51liD3dYg+jEQ3+X2Xl8IhK2/nMGWOZeKwbuR15WnTBzQk1CUOOOWZh2Pm7nxmWGBZN66bDqWtVdrYXPkhlUq3qGhZnypVKj/IcQJX5FgbUrcMrc1t9FteznD29o8Rs72pCD6pTsbo1BGwvquC5C7NQkRJpg/EPJbDgn6pYezSv4rRSAwmk7QtIRf3nDJ3h6NXF5qUQbUSmgxL0Mgx0Htx6AEljg5VAI5onuLoTVwerdE7hKT4kN0JrsOv091jYVUVortBEESI7ZHWeHxE8zpAYW9BxrGtUDYd9HGYgu6QWkwEvEdhm+lz6VL0dN1B+p4jeuDMt7wwHGt1fNizfbTQRcWSmIj5zYeX4Z6HOqS86iZPxzDxNb13oldm7sahsU/XtTBSptMptehy8mk/BX2ihitKar+V8YXgsui69xxoUtxjxcfI6D1rn3qnm2AyEaODEZTKOmzc+JUAMkM52RsC5HxgNC/c6dC6CoQi2r5HVYSzHLWfyO8Q7Jamicu42cl3D40KruGPWS7ZeZ757LPP+N6Pf8LSO/PDAy0mpilhU+b+9Su+//lnfAyRyxef8cOvvsdpW1mCuoUv1431shCaMPZeAsOrXS0YozQev31Hb8VzlrTdXteFtmzU68Jl2fj985Xnbz9qcKqd5fmFXiunw4FpyrdyGhxnNzNK2ViuC+uysMfsT/PkSkf5E0Jx0cCepeV9D5jyocKItBg1dJRNar8hE+bD8Z6//uuf8w9//3d8+81bLi8vHoPdGKOyLoUWBQETFYEeoxGTIvQJgaVVelm8NKgTYiZlc3hw0D2mXnB3pTUhBafDzOef3fP64cz5PHM8Zg6TstVyDtRNA0cd5qazyvNl4dt3T7x798T1WmnN+2fcSNdbRVE8yutSXMdegVy9ptg+Ddjf5aUwUeV8zZFDPnJ3OnBXKx9eXljKpnV5kVzu8/s7vvr8M77/vS+4vzsDnafnJ56ennn3+JFvH594XhfWPlg7lGQ0U+hVb7Ki55S0xvVwuy00/ClhU1kkmi1wz4L18Sl7ZpdMhqQ1yvSiRnCsVhfCIQqDDQNi3bNJhouo3GgVTGultBiEYZzmxJu7E4eQYLiOX/IYYei9EcaubpJDNERlsk+mv/bc9RT2Lcn0sAOEQAma7DF3ByMvxgiuuPJLYWyDYzhocnBVV0ySbloTHyIX+HTjcywqeK4gEk1KI/vETbjKJcWo/J8hbXXMSvwcY5AmEenmmTJ9VyGBmweHCNNoWBKsl3PkeDqKO3l8wuogkFzDvxu1PoXBGbjyxkTUul+h9aGNs3XW6herKaUzhMAUZ5eq7soobSmjV2rT1GlhcgJcrtLsVZ/Vm9P2//QOa1W4Y3B1ihrUBgwv0JHemWmKHL2bwNzDsVc/MiBaJkVdtvqYJWlupSqRxy+9XdI69l8HOGatpIBgCoNjOMnuXE+KHrncG5HO3WHmBz/5kQri58x4/IA9fuQUAmsw5mDczZkSBqfDgXg88fRy5f3bd6yXlVoFC6YQOb2+53A+EeeJtmy8+716kdWB0ljXVb+rrRJzJozG9fEjNgTTTlHdC/ulvhdZCRUTIb+tK9u6ccV9Gu7RyDkzUqSWQi0NtpWQE5Yie+eFBphAQN3YxOD91pkc9/BKeHj1in/5r/41v/7lb/jmm7e6XIf/LnuldHl8ylpJuTHlmZQGIWbyPHHmxDY29PFr4AnehRCMWwpwd9gox8Dd+cQXnz3w+vWJ+7uJwzFxmveomKYBxIeu1oyXy5XHjxc+PF549+0jT88LZpmYZglyLLlaqn4SF1jwTVrvslrkdi5weDTNd3kpBJTQOCBHaYLneeL1eea6bZRSaFslY5zmA1+cH/jRm8/5/hdveHV3pJaFl+sLb99/y69+9we++fjIx+vC42Xl2+uGZ4PSTdCJVEHmPIR5bo4uCHkc9H0Nw1U3Tr6Z3aa9XRGjD8xvcvcGxC5pYA5B24ETz9FEgo6hqITiDXEWIsmUsHmMgdOUOUXIwSGJodgBC1C3ogY3IEW7tYwJ+RaXEHqHuuvbpdQJUTK33jqW9Dkz/NAaFYsyOvXRaL264UpF67UrvmJthcU6K4EVaelbaX4gJVUCRk3SG5URdRhHC7RSlQ+TkidvymvRa3VyXw9V8xiTZIoYiEHptWFoaqyoFF1tZ4Fmg62L8LcpM2JgK5WtN9bSWUcTrBgSeecLXO89fFuRk1mX1f73ol8W27ZxubwQ8+STf9P3Ez6Z6nY4AAsKTtTux/4KDXNJYpeRTYO6cNmYIm3TsCD/jA6sEPQ9ROeA+lCJOykTm5RXtaOL3XmnPE1MwW4prGOYu9Z3uNR5pB3+DLoMuu1ihehwnJ6r0T9FPCuzqbEuC9eXJy5PH+WZoFNtQIwcsnGvNl3K9YWnjx94fvrIUivWKpRCxPje569IX2ZGMy7Xha0U3nzxhvP9Hc/XCx+fPrKsC92UfhuBuzjz6tU9o8lfRBfJ3pt3Sh8Owrvd1d714VDqRgyB4/nEw909l3iltcblcuHp+QkzY54PGDLgme25aI2+gSU5228DTdhl2bBdF56fnijlC8yd71Oa+dlf/Zyf/80/8fd//7/x8cMjmcYU3fnuhGhpG1ij9xVqJU9NXNAcefPmTl4fUzDf5XKlFmVW1VJ8s40cp8Trhwdevzpzd3/keIhMqZODeMnhQoPWO2XrlGq8f7zw/sMj7z888fKycr1WIBPTgTZE5GtkiFJ9DqEgOD+GDzZx7MGOjpz071h91MrKfDyqrNuC5E9bYTocND1aghSJXZPFWDbK0zMv1pjKiUOC8ygwZ9Lnr/neq3uW2vnwcuWXf3jLWpHRJ2Q+Xi68e3q5OWZbcCbAX5JAgKEPpoMrYIRDJO/X7X3PPN/zSYRp00W4ppRUooOpbznokItBL3hlUMw+ObFbwXzyuj/OzNH0EvkE3XulFm95qo1gw4PakiteRIpoMvLvw/RLU/G8ZJfDoZ4ebhmuXjo+3KngE2qTCitNE1OeWNaV0mAZgxW1sVWPjAjDsBEc5zb/jIS9DcXGKpUTQUfNbf3794zZzbhjLh8OTiSb8jwE5/VO801ruNNcZj5BSUaAGFlK5eVyYfE+DUeqBHVhHp3BDT7Av65yrrkdnrjPRd+mDoKU5DAd7Im5OrRHMJ+gx81EWKvgq+gwj5mMljpkB22Iys5OnKuXwT0xTTzSrjixG7MypE2PgV6NUap6d53TytHkBanK7E8hYjES/HPeC5tS3h3LuqTq8F5tBD3d/BUIkusDaodaN/07rTKlyGVd+NU//e9cthXLidd3R756deLufKasG90zqkZrtGVhzpnXbz7j4eFBwXfVKGXw8fER64PL0zPLcqVcFrZ10YUwJmKKHPLEF/evmPLE9XJ1aLKzleIqQsXNxJw4HM7EkChb5e3bt3z48IFt27h/OHN/d0cfg5wzOUeWdWHd9HnVVpnn2bk18W6BQJydbXHD2T5KbNvG85PI70M4gPMuh8OJv/6bf87n/93/i4+Pz/TtSikNo2KTuI6YFJNTaoFWJUhIKqKa58DDwz3Hw5HlcuX9e3h+emFZNhgbNgbzlHj9cMeb+zOHQ1YycgwcD4lpjvS+Ab4hbY2np4WXS+UPbz/w8fGJ61JEbvdEiJnRlUIc9mDJJo5J3faNnoRYmH06FzEjxYxKyL5j9dE0RYxOsiF8uxWudYXNVUFNq3Uvur0frxu2XHg+ZT6cIuc5cDqpm/XVlHhzPtFjYlkrn8fMslXqgJ4z3z5P/MdR+LhulJC41MI6VEtoo38y+ERFU1S6r/RRRjVwKWODINMJ/hDJWWzMMal6r0kNk/wC6V2HWZonztMEZly3qyKNk5ystCpVoQWvJ20s20orzVUqcMyTO073vKZOGJKy5uCbQ9PaXLuch7ULJ27AVgs1KHPHBiorqo08HQTjpUAPgth2iWP1QvetFC51o8/SnIt8aVgYxJEIQ8qfVtSRYW6H2qdqEcYKGtwvNEVF4yGIeH4R/u8aKAVGF4fbjKtvF7szvQejXxYpVQa67B2K6WPc/Cq79HVPP63VMWc3mIyuwqS1bLd0U5yAFjrmkQJdef8hBHoTeTuCPBbiSwQnSCcc5Uh3E15rndard0jsTnEnvdzPsJaieOVporbyqcOi6eeOvWG1aCvoij4OXcVB++bVh7qizUMcAd/UAmUnL3P0KVA5OmAe6OhbkA8UGDeS/PHDB/7+3/07CMa1FrbWOJ5PfHH+IfW68Jv3H1jG4PHlmWVdWZaVkRun+wfujkfevHlN74PrS+H9+yf1kRel3z4+P3K9XhkBAhlLUiOGCs/vPjDlSdlZfTDHSX6ZKuivlELdisqA8gGzwOl0Yl1XPrx/z+X6zOl0Yp5nGIM5yzf08vTivQbafFJKbLWASd5ZnFeK005MemFUq3z9+9/yZ3/2I+Zp8r4Xo8fEz372V/zr/+K/5Nt3H/jwh99yXReOhwO145H8s97fbeefFFeSEhoGrTJl4/z5K86niafHR95+85YXKqfTmbvzHa8fXjGlyJSM+ZA5HhM5RwkSXIHZeuL5ZePrbz7y7t0Tjxe109XaCSETLDO6LGyYRDhjCALtnmVmLlvfL0u62gqxoK7sXm8JrN/ZpdCHiLrNV6NA53iY3bw2KGVVUUczRoFRBnW9cH2JvMzG6RA4zZnPP3sDGNPhwJ/99C+Edb9c+PDhkXUMKoWeoX9+z7fLwksbfPNypa6bdyEYNE897V1RChYcfvL5wOR6xpNR9fZ0f3l0aLReqZhgJFe9gLTuRA9BS4nDPGMG23qh10pZIWdNjpaSnLhFvg2GE4OIrA5uWGpNgXfZQwNHc/I8RLba/DLQZNpc695CkFzX9qhpfYt7tETYs596p5RCJzi8omkhx0FD6onB5sa6oQnVf9aICOHu+fAR+SsCqvOcUnTC227T+O156N2TUBVdvceQdBcGhBjoXSmohtFMnovlehEhjU5wRVLsv5hP+LnyjoQJh6iXaAwPZHM1kIdUiJC1nRDH4zaqJL1EQpDkdHJ4qW6+WQ4PQev7Ch68XEhbUWvqOQgWCTkIk22f6lsDijjX9Jsx5Hwf/r2mYBynLI7Chst2222lpzdws+LuwQnRE12du+hIUhhjpAxtZCnK/zBavz31eZpgaKuYvJTmerkwULbViGoKrGXlcW20YGwhcCmFl7WwlkZO6h1+eX6hMziczrRqrNvKdbkqodbUFrjDnHGPTOmwLQtzhFF14YmzUi9zjIl5ntnWjWVdeHlR0U6eZg7zzOFwkCdoW1lMSEDKSSzegClFgndb1FJ8i1S68lpWaNUFIAeIidqNNEXW64X/5X/8nxhj8G/+y/8zn3/xJbXrEs7TkZ//s7/l3/37v+Pp/TtqKZSm9IUYM7Xu3eLJgzebd79IfLCtV9px5jBFHu6OiqKI8Hh84jAfOB6PGqJDY54m5slUjIOUaa0bL5eVjx+fefv2mfcfXliWxloHvQUI2Q1oUmQydqUbzmFoI0opM8wrC5pKtUbA1aISMdj4lKn1nV0Ka2nUoIl27C9ikuZ/2Rb1DsQgHX8t0k2XDqaAuhEz3Srj/UcixvG08vjuPV989hk//cFX/H50Hq9XxmEiZqO2jUYm1s5SAqWoJs9GgpCJFliqDFhq83JMbV/nb5ANHjglXK0NRT20MWh9r9bUy9RGZ+ta2WiNOE0AggBq8xRDnJBVsF1f1DvbqrtIY2LOqggcvVNKJfSm9raiSV62BxHk1QI1SJJZ8OBAM0iRHnfEuzMm5dhUcwgqmidqam1OU2YOEepgKx7y573GOUZyDbe6xj1m27IuqNrEbUxR+vNRK6NV2oiMVohpxyXH7a8/zqMaY0/T9L/fpcYZJkAFUIOam3wGdosEqHWA+WeH3drEautSfxl+0fpk7M/ejg8H5wuiG8jgdv8Dw6OldVFWC34Z+SXmZjUfF5zM1e93BNMl4b+TDBClwBu9o0QX/4Zq43CYbrLn5L9PuW4jLQhH77WxR493+6O0VOc0gpkauGJglOZkk37H3UnzDspIqiIYc0r+z4z9inTOQ/6aaZ44zUfiPDEfj6Q0c33+yLfPT5RppueZfHdH4EJMwu2n+UhMEx+fnql1eAy5D1jBOByPhJhZtkVwBkFqLIL6l9dnPzjBYuIwH4lZf7/VTnN37xiD6/XK09MTe9Lw3fmOGBUjcne+IwQRsWU6UJt4vt1BHEzKvNa7AgeLEeZAiB0LcipfXp75xT898+7de2qD/9N/9V/x2fe+gKEz7Xvf/wF//fN/zu9//WverouqWXuDZSManE+zJ/HeRMzaSDHKtqkB7jBxOt0xvTrz6u7I+3fv2Nbinc2BRGfOkJL6GUpR2sPzZeXrt498/c1HPny4sm4DLCvbzOGvtm+DfmboYJczPmCM2hRiGfV+9d6d5zJC6y560RAf6ncMHy2twaapro0knN00haw+7ZpvE8MQOReNxYRn2wgwEnVRRsnz5UrdKu165Uff+4ovvvyM+PTIlUFNxrvLM/15IY7A/ZTpbZBDYWuB2gNrl4Syt50UjD6dC8r4T4waPhnL1+C9uPv0nSI9GGvdaK1QhxJSw8hkdKFs60K0welwYkoydNWuiaI1ubFDnDSRhqTDxgbWh+SuwZijqbqxdHKeGBilDSxNtFJZR2fDWIdHJuSETX4QV5UNWe+E3olDBUYy4OkwHM6LDDxsLyRSzhAiLSf6SGzqlrlBcDEo+G0bGzYCMQpyC8jHQFcdYncN+b4p7Eqp3bL/iejUXwM9oDupvac3up9duLjnxTBMcRtRgYCuLcRS8gPQvQ5O8lYJYZVS6heTvCjNhac4tOIxKwMpVoIcnyH4z+OKjNvlFhTSuBN2A5PxDH1LW+tYqVIoDaTmybqEmosdbvWdtoc6CqoIKeugmfQMllKp3dvbWr9BjiGLt8DfodG7p3c6vIZ92pDGuB0ChMBWCodJDWWlKJY9JU2ZfUDfKp2Nl+vCdW387t1H1pzphwN2vMM2WGvnw9MLx/sH0jHwsiw8P13kpkW9FwzJdbdWlQraGnZ54eB+me16pZSNnDJ9GHVbKXWozrSj/3+SNH2HYwYi7GutPD8XTocjhzQxp0xKgZeYZdb0d31EowajgjiCqGyu6BCN5cRWtJnmPDMw3r59y3/73/63fPvhI/+X//t/zfd/+CNiSpzvH/jbf/mv+M2vf8HT40fWq9rmtm0jRX2uWPINTn3JvRcFTbaudFkGhzlxPEw8nI88nI+8f/ee6+VKsKjO99QJplqsWmDdGt98+8zv//CRb9+/KFl6qDhsrxIYXREqe1xFb5LHtq6vC4rRNwaSvXdtEHVzqFz/fhpI+v5Hm/53cim0oQc85pkRYF0Xtl4pdEiiwNZVrrmcojAuU9H8cCPTUjvHALFvxFaZYuDrt99gDKZ5ZmmVd0/PvLSi9X3bqF0yvnPO5JDZeuTp2pRHExRMpXEyetidOc6m//dwU9uejmpOOHYQSWXQm9Ful4Jr4h1sTqaQuClF5jxj9qk20oa52UsyuNEVyrc5RJBSZI6ZbOpXHv5ph6DK0taHSNogB3IxXaLdX37LAXpzbftgFPdJuCY5dKUwZjP6KLRuNz2/7f2+DOaU6Mx/RJr1m0SUGBgpQZM0NqUoPXr1JqnuSp0/eqD8E3cZqG89DEfpPMRuGCkN71PuOjSDUUpjGxKshqByotEb1rUJiRvQZyeVyth3UwjD3cuCfYKb0xI6qGKwTwRs1Ge8bHuvMhSr8lDcmG0vT496JmJIEPxy7R0LXsE6unwbZVCru40Nkm9QcQxYN8F7Tcal4Afdzg9E71Xb3dXm1RS7H0RfxnOwPJ4juJluz3HqozNCcAVTotdKK1XT4ydcwbeZoUiaF2Vi5XwgHzofPyY+PH1k7YOXrXCtla3p+avLSowzHx9f+PDyzIeXR15eLrewQ3UMB1+O9khppeb2y4UtBWx4JWWTaQ+C6mY3xT28fv2K4/FEe3lmbR2CMXl+2PX5hWW9KmtLWfEcpqyk1tagVj2PIbqr3vvFXfCRUiDlwDYqpXTmaaa1SqmdkBJPj0/89//9f8/LWviv/5v/hh//2U8YGA9v3vBXf/3X/PoX/8Qffvd76rJSqvucesWYbyGVJtOSb3XpJnAx86Kk2DjMiYf7k97d1pSZFTq1FfoYvFwb7z5e+O3v3vHu48KygaUJs3SDu8eNP8FDQIPk8qazTAhbx3yIG129DGH0m3R6TpFDSswmccMUv2P46Hh+4NXDHd//4gta2fjm2294//TIWlb6gDQdSNORshTY9to3abgLXnAeJAc8BePueGKeDwSMy7bxXAovy5UPz088LgtLEyzUt03Km5A5BkVSGAVaoYbA0gZrr7QgeZ8qU/SBmgXX/nY9Pch/UIcrR2phdGGRo7ZbhEbOGWsiZ/MUydOsUpcwPMTM5Y7ujBWWiwhMFJwmE4oWzpCi44FNG1Trt0KWrRTW3pUlFQLr6NRgWBnE2WV2UZvXsAxFbvLUBfmksSuvjK3J3Y1lRh8slwthmiCLJ0gmJdAYOFEmPiCncVOsqM9Ck/+cM7V0atW6fIOOgv578EA59SgMWt1NZgpSU66VLuCO+JIyVL3Zg5JEFSMvf4gefqXYlqaNJvhBJ85BpOwYOJ+hS8GQAkd9Bvs2I1WPJZnSuuH5MIo4EQ+BLhkfLPaK0RiEaVtQ9MEoqiYl3ASsDPZ+bmQa7HLEppxdd67nRH+WTHG9iceIZjL3VRXJxKQLvK6FEcylrqZeagPYk3N9I2sDS7ocYohs6woDlrpSQmGO0y1PbCu6gAmNsiy0ELA8c8wTL8uV5+cXXpaNy2Wh1c7aOk/blR6AqEj6umkqnecj0zxTW3Mnd7+R+rXJuTvqJmGCx3H0Nti2wjTNtNZY14150vO5LivbkMEqJdVi7tEmy3Wh18ZhUoS7dQ+T86h+QZpGN03H05Q4Hg/EFCkvC8tSoKnpLOXJPTSNtm78h7/7e37283/G5199n2HGfDzxZz/7K370D//Atx+fuC4bbRjbtkI3TseE+c0cEIEbU9JQYDqcS1V69DaGb3tyuJem56m2xrJVrmvl7btnfvv7dzwvg3UbdFS81bqYUWW16Rmro9EKXgqm2t8dwqplg1LkeQrmMd3DkYnAeYbTZBxi4DRPnI6H7/ZSON295osvvuRf/It/wXFK/P4Pv+ff/v3/yj/9+pd0BufzHV9++RX0wfb8Qr0ut2o9JToqzXBKUrJM04G70x2vHh443p1J88QDnXg6ET584GUrxONgvm68f75wXSspQ4qDkBunh0ztgaUO3l8XLnWhhsjWAmVEjIkxkm8NgiAGynPfPKZiTgmGCMVaVj8gJ07TEVohAVM0kok0VHyByMUedTiFpKmlVa8gxXN/XMpahrp2ow0ae3m3Jjnlp3DD0VstImEHtA2sBHpQiJyFCFPComGlkUtnHjB3tEXgF9MuV3O8u9Um53RWs1NIUVHPuPzV85aCmYp7HCYP/iCPDmHYzfjShvwXFlQktHMJgcCUD+TeWDwKpLdGiBLFt9rpIXpUiCfGRm+CcyhuOBTWGDfeo/emgL7kBkWX1o1wq8Pxiyl6XaqT3wlG7PQ0GN1uhrQUFbKoQz/Rg3GtguMUHaH+BP0leK2b4ZFJPpU2cQXO7O8d0zSPV0YvcTL8c6geX9zJPum1Ll9AztmnTHfOzpM2ntEJpu+zt04t+t2F8UcZVDliQbzBuqyU6l/HWRIMqstvX9YXUs4c8gNf/vBHjJTof/g9W4dlK4xk3oxYuCxOpg/PnXKinpgheEFTEBB4nGdKXW+xG3ESd6CNQiq06TAzzzPn84l1XSjbypwzh2livcj9HKI4o4jaw/Q7LbfOjNGqQixDVJ8Jg1o3mi+GOWZOh5mtNrZlVcRIb4JFbZcEuxS4bDJC9s5IQd/f3T1/9vO/4Ve/+4brS2W9bKSYMdvofZMKLCnkMmZTjliEw+lAG52X64U5Jm21tamnfJNs/+UZGomldL5598zvv/7AUjp1qJcl3N6h5hL1KpMpPjwyKLWTYiaOqA6PYATr5BSYMGxUTjlxPwVOGQ4ZzrORY2HOgTl37s/fsXktjMF6Wfjw7h3j7syUM5+/+Yzfv/2asoigORyOfP75Fzx/eGJ5uTAtL7x7946npydClipk7YOpNbYuuKQEOKdInidyinwejDhNPC+Fjy8LIVxYS6f3TW7ftpGtccwTh+M9zRLz+/e8vTyzoiyawKfJVCeYU3pDh0/vjXBwm/0AhjwFU86cjicO0wQ1EEYnm0kl0uutfHsnPMdtQ2jKGfEJtA9p30cQfq7uV7upbRQPLrij7m5DM7LtlXyCx0aJxKPyf7bWILoscfcydMVCRJ9Eh31SKDQbNPNoYeRHUC4UN+XUbfrf40PwBMp9C+giGac8AR7Kp4GZgLwc5vlIwSLRVBqj4DdNM9guF1bnxCfjjV+hMRB2R8bYW9bCDfoSHOT/jnNIowuKs7Ab1NxXUMV9xABtKwoV3D0GAXo3z+AKn/75BkpTlbKnNal95CnIN35Cem+XMXeRzM1/jtoaFkzJsGE3G3ppT69qx7PBFDy7ZwwJCYLguRCMyQ2DKU9usK3y3zjn0LqiUTRwiCeBdpPKWojEpAbAm6eEKBHEkCExzwfm45HpdOLd4xPPzy8MjLu7e8Y08XS9UKpwb3lCugdYShK71qow1hCk4w+T/DtDHRM5JQKqy621cl0V+RxCZNs2lrRSt81TTgUbpiBJ+XpdtXXEpMQB98jU2uSOH52tapOVeVV8S5qzhqoQbgkEvSqlWcohpRm03c3eO9mhqdE7tagT5Xx/x/d/+EN+8MMf8ftf/sYb/rrUdA7XhDBIEXJOpFlwjg11glffxgIa0rZlZV1UYNRt5uPLwrfvP/Lu44Xna2NY8s4PgUTRt+Qx1E5po9+g7tGdWB7BU3oLaRRsrJyC8TDNHKYD94fMKcMpQ46NOSnm5f48cTzMzPOfdtz/6c1rtbE8PfLbX/6Cd1Oitsq3H99Tilaey7Lyj7/8FZfVayhj4tUPfkI/HHn6xS+4XC9QG81QaN71Ch+MpW1ctpXzWXBSH4PUjQnjbpqID3tRxAvXbaO2QuiDFDqnmDgc7jjnidcvJz7Wwvtt5cN1Y/UuhmqCDoLjgCHsKapSvMSeCHMkTNIPR3OczvSLkqkIBHEEVwQMuRfHAJxsdWlrjMbWBTCop1044pzVmibJrL4fzLHRspEscAhSIlmXq3obg1FUKiMIIMmY1RuJTo2y48euC0wHqB/wFmhRU1cbwz0E3HortAKoUzp4DAjIfxA6Mt2lCD3fzHY5J4zgk3YjR2X9dATFpAhhCObaaqMM9xd0KWzowyW1Yb+nfUqC7oqKMaTlD2knYLQ69dbA5EvBeaqOPHwETeVEc1JcGHtre6Q3uEZPf+a4oXKATGx9DIK3julCM12kcecCjJD2+BX5ZKjd2Q6pqnryGBQEdyk6BMyC8pVShyF4Tp0YSRLbIKe+wgUDrRd3knv9oxPiIKiwot9frf5zBDc1udpldAVE9tY8i0rR0cOMp8uVj7/4JU/XKx9frpTgMT1aI4mTX3oeD69hTQ7ZrRRabVI89Ug+zpTNJd2uj9f17nW2Hp8SXLY9aiOGwDxPej96v2VFBYMpT+yd1DKc7C7zzt4FMFycEIJKlkLUJWgx3syJw5NJLQ9Ga+I8hpGmA1NMHA+z4JZgJAustRIM3rx6xc/+4qf88j/8B5bHd4wO82FiPkxMs86HKSXmSVlHo0mV2FCtbPek5rJubJeVVishZtZeePv+mT+8/chlbdQeJACh+fOsQSf474pg7oJv0D1DrUPMhUQjj8L5aNzPiTeHzOtZLvk5w5zhOAemaBymyDRFXt2fOBxnV4B9h5dCvV7pDN4VrX6WA7WsjNZV2BEHjy/f8LIU5tMDd28+45Rnzp9/xfHxhW+f/qOKK3JUKUkptOdnttZ4en7m4XzifDpzOp7IKXOwxDTPfPbqyGk+E+wtX394TyuLEyqDsW6EsPEqZea7V7zqhfT0yPKyUDxlNbiU70aOxkAcmtii58SkoLU1BhE1tM2lg27W8ulSPbjCkkvtWEj7mUXfa+h86t/LaG6tYR3FSfik10rFLHrrXCB6Tr5AEU+ZvG7qcs4Ri0ar1RueOhWRpNX8hRoq5tnJXnVWd0pveumHIqbNS+566aTYveL6U/GQ+aHYetE2EUxta2M4Xi/nbvILgTHcbb0TXHKI4yqZ4pyC+iOcnAwe34ArwfDMd5PgeYBIxWCKjeBTMurwd4WhzUHKM0Udq3MY71yIbnTzTW3oAtrLjXZycviFh0M4twyqofwmfDIeGs8Fh+TEMCcO/dmIGL00KjAFv5w9TDHaIJp4teaXYyCQQ+Qwzfr5u4aO2jrrtjeC6dLYIaR244NwElf5V0L2/Fb30pmiijtKb0wHQTd9wG+//oY2H9haZ+2NjcGlbBS4BRKWqgjvw3Qgz7NUM22vj5QRMbk/4TAdCKj4qiwFiwpT7K6u2pM5rSucbsqKmF7X6817UmtVPlLOyjgaw83au7nQtHGYLlCLgZgjRP18nUEOQT0sDaypd7mwECZxi8mFCKU1tmXhmz/8jnfffM3dZ59hrUFrzDnx4x/9kH/285+zPH3g+UPjMEOeFH0RAwTrWK+Enm7D4MADBtxr0ovIcEuRtTS+ef/ENx9eWAoQJ10I3W7R7PgFHkJwsYwgQBvitFIapNY4BzjnwCkFHo6B+2PkIQ8ecuEwJeY5krMxJeN4yDw8nIhJ5seQDAvftST1+clVFok6Zw6nAwPl4mzLSomDTuTpZWFlZn6dCPOZ8+nIw+Mz0zffUMZg65VL0eGmyXblOipLWTlfFl7dFe4PJ8YwpuOZ8zTDfeR5ufL08sxlv6RqZV0uxDaY8qwUwhy5j4kj8NJUI4kF54IFRoQgRdE0TcQY6V0ykJ28TAGXswZXk9TbQVkcZ61jUBuE3mQKwhgWZTjzw3cndtXzIBlZ6JpOx9B0dgvMC1E4tRNIecA0pKPe458Vk/tHByjiztfesT6Yb98xN1mkhcjw0Dp2qMi3JR2InxqsrHZJX/lEHJprnncFjtJrG6MXmBQyZv59jNbZuwIklY0SCvTG5lKw/WU3jxrYcWt93koZHegD6uhNU+WMT4hBJUe9dfJQCFkP8hLULrlx69yCAYfHoTCk48bMnf/dfRTD1RzKfgr/X1kxusvH7fsrW6PSqaizopngQfPLX9Hs3KJFFKM9mILJTDgULJc8myuYHwg+eFgMhK7PsteBJb8B0HBS3E9CDBTUPifFCu7EFpSxZ/2bJXEuvdEcYimo+vR521hbYxtdfp8UKW42JBgpTcSc2FpldE3+vTZthQMOE95Znhm1kkKiDdjqdnPoW/Dfce9O1HYSna1Kxjk8fkU95fr7cii7OdKVWnSR8r10pkmb5Gh6JrbhsCqCj3qp3pjWWMoz1gYxTzcY2Eagl41f/tM/cby756//5m+YjgdoG5PB/fnIz//6r3l+/5Zf/6JBeyGlTkpGTvKgSN5pPvBB7ILDapfqSvBrYiuF9x8vvPu48LJ22kiCjdBoNc9ZA00ZgjiBVjYCgxAHsVdSLxzj4G4KvD4kXh8TdxPczXCcBucE58k4zkm9KHMkRCNPgftXJzAj5njzLH2nl8K2XCVZtA4p3lzMvcptuY5OI9KLGP6vv33HWhufv3mlIgrkvItNB20Pg0ZkqQ5SL411fWGMQN0a23XjfL+qd3ieuTufef36NUvduFwXlk1pin1q3M1aS8dInGLg4XjgmYV1f1FwieDuTE0y2V17hbJCTAQbhNHIEcd8hfElP/g6YI1bDEaMKg6qW9WHnXRgBzOWVolIfdBNfcC2r4C7+cwn6Yq2HvOXYbh64eAW+Jd1k+ktgeXMCIgbsN1hqUO0tMLeNWDIFRujpisbmoKbB5DFxj6f3w7NXgqjqEXMGmq0YgAJ6zDnJA6k+PbiUEHwl23PUup9YK4+2ifLVivFL4G9DEnmNbfkI0JTAo+xn4N+Ge3qJu+5QPh2Q5LcYMp3ggBhtxfpz5ek03sYQkC8SKE1d6rGpPKefVvwfUlYsl9gKfrFIZ14GYNeCkqflB+jdcEPcxJEszMi1OHpqMrZT66iijF6jWp3jku/B3NDWzDvpdgKPfrFHIIT2EGfbdfFmdOkw6grG6h1bZHDzaWH+USl8/WHDwyM64DLuvLxcr3JhLfeGXWweeRLThMh6UJoW9HT3/0zHZrKt1JvwYJqGVOkemtVvz7TJFwdsxS1Fyit07qipPW7NeZ5vvletnV1h7dI/e78SC0bsQvu3d3c+NcxE6TYtqpLoQ3JmWvjUprUR8czkxkWM9u28Otf/pJl2yjbxg9+/CPOr87iXWLkhz/4Ph9/9jPK+sTT+9+R40bOcJjEddxKrggudHBk0hVKrRvXZePjxyfevX9iKQnImk/9ArehzxxUtHXM+tr6mRvZOjkWplB5lSOv58CbU+LVHDjlzt0hcH+OnOZEjHIxz8dAPiQsQD7OTOeDw4eJNE2fINn/g//8yZdCSiLZBIv46t2qEgXLcIy3M6gslxeudVCWlY/fviWORi+FvhVS0EHSuwpWugFJL/kxRw53rzif7mj9A7/75i3vrwvH169JpxOH04m7h1f0GCm9s75cyb1wZCLHoNzyGDmeZlKrtOsqGMMPRhC00uuAnDzULPjhJkvUTozu3bo7PMHOLbgawIIe5tYDlU5hsJYN61KEBL8MylBEtmz4CrOLpsTVGLyCsTUmJ2hba9BEKk1tUNug4hNw27x1KtKDby27TnrHaPELq3fC2JjcadrZs6JMJOXQzy7oRBECGSMT2FMX824So6vbossRnXzD6t7uhMnjQAiMJsVL9andGTqpi4J+z71WTfEWXOIbXW2hFyZiLjmVizZZ+ESKs28vPkUO6ecDglr2iIpoexWqQxGj+/dcSSlhQSR824EpE5auF9wvbVeWWbQb2Vy7MqOEuylnqO9a8dHV4JcT7DxL0M+2R5aXKtns5D4Mqv889kldtbf45RzFe4U9U6mJHzDvVbDgHhzvp6A7fyR+YQ8jJCRqa6ylcB3Gh23jeV1kqkuB6ptcnpy0df9JHYPSqno7hocxOgS6bhstRNrzC4eciVEO3xbMeR4R+1JLu+/D9/XZ+Y3emhcP6d1Kbtpq3VU4Q1DVQD0Wrbp8NYvPMBtUGwSiNqVaqEXbWRiKrGl9ozXFpRMi8ylSt43WB7/+xX9kXRbev/sZf/nzv+Th1WtinDgcDnz/B9/n7dsvKesHRdxbYfTGNM/cn88cpgPrtnG9XlnX4qGVet630nj/4Yl37z9yuWysfaaZ+I/oJLsZWK+cpknPd6/MYyhCh8ZhCtxNB04xc5/gPhoPB+N+jhxy4HwI3N9PpBRpo3G8P3M4HQhTYhuNdJhJpzv3kMlfFtJ3vCk8XxdOB8/c9ZX6iy8+58znhG+/5fkP39I6hEkRFFNSRMLlciW0QjatsaMNiIJqylqF84XAccqknNmIjMORu+9NfCyVd5crcwicUKNYyJk4z6RTo/gBVGyQUEBUQJV9KYmwETTgh7tj/q131rU79itFSh1S06dgtyykveqzOy2gCWg/OPQSjmBUh5RaMEgQYnJVUaclqYoaSszsQ5rzOczeqeBft3X9d4cz6J1skYc5saAHXgOlXrBuOjiiRzd0Bm00vVhBZSQRJYQGIOVMCgncK9BWFYJjkSlPzFMidE3f+88ch6ApxUm020QcQ6SM5tyDK5vM1RNBB9XSqlynITispj+3OmT0SeWkKbL7hbZvOyqV0SUZ2RNnpW6KJn4jBf+8dnK6iJCd3WB143NcYdSGyqDSHh/hWL4uG1OBkC/3xHHrCpimyS8N76bgU8SHBbn1VdM42FmXYZ88EGN0SvfBwmMOVvsU456ithYbjuu7GixP/hwPQXN7xPJQ5oI0sk5m153D8q87ouKlex0oLNFYe+NSYRnQPBEWpJ7qHlND+NT5Xcp2EwRom+pEInF88rr0brR1FYzYGyEltdi5EGDfpobLfQdow2PcLs7u/pLQtc2NVhhJv+9pnhSd416R1Zv6FCio4WPyd6bWRi2FVqsiVboe5lYrrS+cmlruknNrWyn87te/5t23b/nmm9/zr/7zf8MXn3+PUhqn0x0/+cmfsy3vWZ+/pa+PtF6Ypzu++t6X5Dzz/v0HtlIIrVOWQvEe9+fLyrfvn7hcKqUoKlL92f68hy7otTWOsZMZxFGZrDFb4JiNh1Pibob7OZDqyutD5u6YuZsT8xw4HBPzIVAxQjhwuH/FdDqQTzOHGBkxYocDwwIWMiHP/InFa3/6pTBSpodEHZW1Fsb1hVfnmfPDPZ/zGd8+L3y8bK75XwDo0WjbIoLOhhQiSOdvhibs0lHu7aD1hfLbP/Dt0wvTlHkphaVWnp+euTr2vmyLHjQL9BhYW+PaCmaDOeogjyEKuzWj8snhLNOSV362yjAd/jucQIx0TDk9VZdYtuBlFdwIxV1xU1uljM5GZ2NQk5ObNuQnGNpCmrdEba2oH7l3DiORx14Q34i1cYyROSgWI45+w48nIgfnPfCX34YOruAvsQVF6Xbr/rJ2LGtCzH4IGshYlvGDpzCHxCFGZpOCKUYYGUb3Fb5rEl7WTVNrjHrp+vDLESehdVAWpJpqphiCtXe23rnWShmDEbN4C3yDM8fvu09P++VSm0+n2oLMRGbn5LkuZuT/nwvCPinFCISY6fhGMBTFsrUO66oClhiZ0sQAtiIOSt4DdSUEPzRLKVId7XxDFwMCMioO/xkUZS+qXHLURh0D6yp7yubbw2jqC8dopksgRyjmdaUh3Jre9udua4LtdBAKNlRQoQaarcpgZvu2NNRh0Vr1ZsPAWjvX0liGpNB9GGHo+6+tMZr6hi0ofyklSX5HHxQkn+0m8+f+uYZuN4kyZpRlc/RPcmN9Ti4DFqKmXupdih3MDWmfhCF6Zp1MNs/6wag0xfNPE91M3/P+mVugNkV0e1SkLt08YSkxXOU13JOjZjVFe1wen/iHv/8PnM/3HP6zE3k+kHPm4dUrHl695tvLey+vMsq28vj4ESzy/PzM1eX4pQ+WrfByfeHp6Urrgm1ChpkJhrweOZredyqHyYh9FZdxzMwxElrhzXnifOgcY+XVIZE6fHY/cTxoSJgOicNpViJsD/Q4YdOBapGQZvLxSDXDDkfUixIZKTH6n3Yr/OmS1CnTo1G2zrKuDOt8fPxAu75Q00TOXrlYhduWa5ELeHSmADLpdVrZwJKs7SQvZJFCYPTI+nLl3cvLDeud5lkZI8tKnia24oUUpd5w38q4RTh0FwWmoDrHMhwy6l5vOT7BAyJVfTLUo0vtwq/xZFNc2RFs7z8wye9Ak3eIlFbUDRygB2MkI2VZ4GvZqDRihDpFanWjWWgkFJFgrZJ6l8piGBMwm+SwtRSqAFlNP6YJ2wDaJ7miAZHorlm9S6N39RoEbtlEKcmuLxlpZI7qwMAvqz151Fy9Uz1aYesKe4NPEs5bBWfnht/3MWgBLCZaraylqDfBDFwy2XZtdvz0oo5ebz8H/n2kEMhmTL4RRRukqniUHIwcvBPXIGIyI4KkvztsNYyCeIcWArMJuth6U2zDUJ1jGopk2SW9wy+5PU4h7FxAiNTqUSdD/BIo0iIE5x28qY6uRjjrnTI6RJGqoytiJQcTT9Q9F8f8WQvxFr3Rm/gCM2PyJNS9rrY6+LW3G8cUCEnCitr1VigRxxN40btSuwyEOx+IX2q1Vb/wFI+fc/LD3beDLiVaH4N1W4kWmKdJ/ht3s6uKS0iC+XfXh8qrYBCdxgpaLcQt04l+s5jBPE/ElLQ11XqDw0pVblicMmur1F7IB3393rv6G0ohuOzMulRyeZq0qTsU1kOHTRfJFCPJNAw+fXjCME6HI2tZyWnifL7jQ0y0EDjkmd47b9++ZWtdG9aQGm4pjWUpPH585ullhZEYQ96NHDKjaWiI1iUq6ZUcjLtD4hAGR+vczZlTPvLqZMxJvML9oXPMmYfzRNwrd6dAnxPpNBFaJMUD+XSmRYM400KiYeQ0YzHLn2Ppthl+Z5fC3/7Lf8Fpnigvj7z7w+/Y1gvvP3xkTBNXg6fnRZbtEWi10ehMcSYnI+JFHqPRTDp1RQIPfERXQ1XvLvdcIfhUa4WcoS0bB6QSWddVON7wGr8Ubm1ePRh1CJePQy8keJDYrm8OmvbH/sOFT6oeBnL4Ds04rQ96U65NcPOa+aTaAhDkR+joMBxBL+Reh7ynbrTe2UalO06+1kIKjdjBamUaELsrnjAYUroMZHAhJa3fO5xjBs2zcoLJyBPlQt6VLa1WEtJDJ8+G6r0rvhnI3jwX+z51A81zZ8zcwqvCl2k6SnbYGjlntlpFXOtuovTGqJ0N1auW2hXZMURmspOBXTeWhUCpjRQ+adCDH642OlNW13U2mCySQyQxOBKYXB44x0BGnE+yoDTYJOZGeUuSxNahjooeFM7XTLLirUla3FEE9PpHarI9RsNMl3+t3qQXsksk3QnfivMOwS8CbTet1ZsfIQyF5oXh8tamru4xpBiL7tswE24XgsdSmzmc1V1TLz9CbYIhcbiFqE+wOe7X/D0SvyCFVBlq+BogYYR1N+tpO2m9fSL7HevrTeKEGMVLBR9OFPUuz4y1RrJ9oxzs/Rq3yHozyWkDjF7lGQkKLQy7QWFIFVZqpdHJOWvIQJ+xFvzA4Xi8/XnrttKtM6cjIWU1zm3yBuAcYk6JFCXdFe8zieIyvWU4X9WD/opB3RilFGqt5Gnis8++4PnjZzzWF1LoZBuUsrFuC6V1D1gMXF6ufPh44boUBI4F9wAp9UqX/GC0lTgKpzlxNwVeHRLHYIr+OUzcHxOnXJgSzHnmMMH5MDFNPlTlGeZEPB+Id0dimwjxQD4d9U6fjoRp8koJhRLiNZ5/nF/2nVwKX/3ohzycTlALd/cPvFye+cVvf8XXjx94aZ1rRwqkrjTMlEyGCp/mIp5QapHe4bquDEVAynHYJCNrdLaqaOFsMNZCrI1UCtO6MqWJXhulSabZY2AdEUagEmnDeCmNy3WTcmJ3fN7wPHPXsP/f5tlILlsJQ+odiSOaplrfNmI3oucQqSnTbtLPMAZbQ3AAA3olRXPPgqZSJeINrc4EWgP6IFqCENhcepdR89pkwyf2ffsJzLiLeHzSRbc+qHyCLkbvjNKdoFMcAkklPA0j9XEz8Dk3RugqUIoW6BGfLI0Ro/53l0x1IKVD7AGbdZnTbpyperebMO6NIfiOvVb1k7LGBreiEbrgoZgTachsNtF0CZh+5tgbx2DcRSMHv9CSPndzRzCowlQ4fHRT0WCtfjlZcNhMP9dG5zoqa5NjPMWky8P0V6VB7TQUU219YDneVDs2RKxrT7Ub+XTjFdBkPUADELr4gyVGUJf1tTaiDbahLZCBYsQDjNaYXPrb+9DGOKQSaq36pWVeCyl4p/VGD5LoVhTHXglscPurdJlI9/C8FOUtKesiWbb3gPTW9HMNiDG7y9fX0BQo22DbKqHs4Xhy+Q7nWLRsSg5s0aBqaOo2lP5KYIRBKxKv7KqcXDtnIjlF0jSo3l+tdzmwllUqvRSk4rJOaxu9rsTR1I9tRowapGqtUlblQuyVmH0TG7jyr8s0Niqtbqj8aIAlDocHTqfPuUwf6e2iiO4e6F3lT8HgulQ+ftx4eq6UOrxcy7tVwvDLQBH6kcIxVt5MxptT4Bw3Zuu8Oswc8sb9USa0nAJ5isQ4CHMmzDPpcMCmmRYMO8yEwxGzCQszPSeIkTHNkCf3FglOV7r64DtvXvvyiy9ZXp75zW9+x/PTE68/e8PDF5W3ddAuF0pd2GwvRNfU03ulD620MYgHMPukOlEsMyzbJsLPTPk4IVKb+IZuEFol9kHqkKo4A4tJzWFbY6mq7sMdvGtzeV3rt1Ay28nBG7ncdKnALepi+KSTXCkiw5BCz8KObg+k73dcsog3JwaFzlX3EpgrKpS9PLA2XEutNXznBzQ4B4+MEGF7O9zC8NA94a6BQBqKYh61UHtnjpGlKJulbPV2KMUQmKcs3L6b3kaHzUYQWd1GpwzVPGpFaiKWPb577xXQdChXqLTnVcBEkNGomapLqynSeBu6pFaHjRrhhslKwurfoxmhA02w1mxGMshmzDaYR+dsgVMY5DE4hMDcO8lg8p6IYIFh3sY3hEsLEVF6KlEvgvk2l2MgWpL6je4d2ZLY1laljrLO8N6l5i9SYvdvFO/jAGxopR+dWjfo6szGNCE6YuIyRW5SzmRGzjPWdRgN66yt6XY1qdFSR0ok53ZsuO9lV8EF88RVCSh0X2jwqgOKD2nVIs3UdLcOBS42k2Q1T5nz+cybN685Hg+8PD3y/pu3lEUG0eN8oJuxlN33YIJqxlB0kGlgcJmZxBzJDYJRCi/wOPWu9kF9For2aL0R29i9nWxVm8GBSJwGcXKuYDSPG9E73DxbK7h8eAzxIdb12Ua0oQy0fe7Q6VY2bL0yuWABzHstost3M4dDIqTEeikwIjEeub//kuvdE9ent2y10Gun9cDoiael8vi08PG5sm7Qh96mGCVYHV2RFoLRO+eceTMnXh/gyMJDUlbRw1lb8/0xk2dX9E1e6xoDLWem01EiAzN1nYdAtwFBNbgxJkHpvWtbClGmWDrb9sK2bd/tpfD297+Ti3FAWxfWy4XTfOSQZ1p5lGegS3ljviYHd+/2NpzgtduDFX3C6Xscru14lxfdJ9hq1YuICsAV/VCxIAWPBaO2AWUjDkkbdQjBSPGm0sH2rcAPf1/rpdMXtKQt3WWbjnMrBFUH/DAvivetRh+1slRqU36K8ldciRPtlo0zevdQQNfnd782hktXxx7yFpmiTCxba0SPsx5dLWdaS11eZojki1HcjAQOn9zMPr/G7AcyYFO8Oa9jjITY6a0K7gpGGkYtVRdXiBD1sUhZU2kez7vjyq1W6ghsrbMUhcK1IH9CcxhjhITFpKRSZ/v333RwnXCKgUNKHGMkj85E54QxD+PcB+cQBRU5sXw4zGRXBA2/WIcfWoHmkk7xJjqM9PW2dWOeZpWdhyCSNfgl0DRdM3ThN9NkajZ8U1TuUh9VstSuWIyUowcLDien/8g5PcLN9bpDfq0U8VGW2dvb8MN8n/zNRPSGoQ2tjUbeCeRdn49unD5cRVW7DzxB8Afqdd5MBrVtQGnqNG4RbAheXJcr18vElCKvHh64Px5oPpmnGPjw9Mz27j1lW/SzpcnVaTvHFvhjNdZoXWayoPA4ui4B0y9FvzPspjhqDj21jtzvA9bWSOtCMHETtSv+ZId8Om70C0FS+ZQYKXPIM8n8jBpqHsTfs9ZUMrNtm57PVAmuvAsej9LKxtOHD8zn4Qu9Dtr7hzdcnz9juTxSeqB3JfJe18K37x55uhSWzVv4XPEYwBVVYH3lPEXOOfKQjc+PgXNq3KeJh1PiNAcOUyLnwPGU90oRdaqESDVdwJYmqbJiJE3iC8xb7SQQ8Ocv7Huq3tv1urBeLyzL8t1eCr/71a+gdaaUuDuefDpRSX1ZC72CiIBdmaGHANMLiCnFMnSfssauNvAP0DNMhHs5UegtV3V0l1I2HXrRSHgkhQ1CUqjWqE5ohkgLezyzr/fDPyb/8yUBHO5D2CEmRIZ7jsvwA0IE637Y7jEJXjzTFAFA0EPA0AM7zNO6feKTRE4ZOrfIAv9sY9AUaX5I7rK+slVGaIxeHS5AD8mitT4SaKUzWXbNt1Q9yv+BUXcllJQHtXT5NvzCyNFf7q5msYxvEl4qv+PL4kiczgxSCHWLkuJilGEyp2G6HE2/z4D/DkzqqOCHx6frX5feAZh8MziMwRHjdUwcIxxscLDA7OoiS9qAYgpe1OPx1baroTR2hqRpvYOmxmBsZaPXQgOSqbEsISHEQEUtKQauqAinWVAUCj6h93aL9gCF3bXa98H91petGtUozNyfO3lCFFxoXRWqwfR99qELVBfmcOVMdE7LoZPkkS2eNvwpx188QGsdI2Ip+JSsv2rvXLeNtUO3oOwsv6BG6yyXK61svDw9cnc6cT7M4nbypAvJezUMz6hyGKz3PTa7u2ggaVvdpdNDMc47ZzD8kB3hk6otRTlt17r486UNow+4LCu9N3U0I9FJR88vUdBQTKZJujfxMzGq/7yPXS7BUivLumnbiIHQO61UelVqarJIjonRG2//8Af+/b/9t3zvBz/h8y+/Yj4eqW0w5Yn7+9d8+/bI1iP0xLKsvHv/zNNlYymdYVHFUM7FjA6ZwZwCx2S8mSN3OXAXBq8inKzzxd2R08GYp4BFmOaodF8zQszEKSsdKUXi4UALUX02MUnFl2Yl60ZPLzCl+Y5RqXWhlsq6LlxfXliuF6/d/S4vhd/8hsM8cTocuD/dUyg8LRe2dWPdZO9u1qEKOmrsuKExRtDK3Tqrl9uP3rEsScSUM2maFCNRBNh0ICQVqVObXxjccLKtFoc6BinFG3E8RnB4Qx8uen19uml+KA1a3TAEk/RuPoNz0/LuR3aI0bPMpdPG9uNMTWq7AN8cNLfAbbIcCHt2/w5pyliHEZrnKLl8VDXBIiqbfA0xJIzGui7EMLzwO2FmXLdC6Qqs25pBUDrn1osw865NIOeDsO8ul3ijKn456KIqEVJvclCG6OY1XP+uwy/4NtNdudDGoNfBSLB0wXRLH2xj5w66MGM3/w32OItxSz/dw8gyMLXG1AfHAOdhnA3uY+B1itxPmWl0rBVSgBDRJtcKvW2C8WK4FZRjpvgK/7wxkbOOwHDIibIV6NKpRyeyu6EDZoqsfqmuLTjsJYGjnNeNEIZ4JQ+ha7XKDW/yYBh4Q5e2SzmqJXjoKGEzRP15IZg6otH3QNDWKqijSETRZYiLXdlDqo0dnyZ102fuHLMm3BAozqOUNrhuha2DJflnrNlt41BzV6fVwvL8zKPXnM7TzDxNbH0QYyZP5h6KJid/bd7s5go4dAnEGNgTcndFVrNBKe32LIjIdvd5CHQfJvGNOMXkohOIzvON7im/vQkyGTLMttqowXPJ+iDmyDQlqc62wnVZWbcVUiJaZIqKe6i1qx64V0ZPGPDh7Tc8Pz3z/t1HfvznL3z1wx/x8OqBnmeOd6+5e/ic9x+f+Pj0NY/vX/j2w4XSdNnaLnmtFeuSHE9Bz/PrQ+TNbNxl4y7A62lwPyXOsXNMgfkYGUmJr1tvjJBJ80R0p7dNE/l4EleQD1gSf2Bpog//eiJm6aNSSuHx8ZHr9SpDYSn0Xj+BMd/VpfB0feblMnjOM8+HC2GeyXcnRlRJtMpr9vVbE2jtjvECrSgOutamiXf/Z4NW0GnKUBuliVDbqyQGws2GH9jD5G8IXX/GGEbc9bc+IbW6MwGGVmzFMOyDi5TCQ9HZvtXIOBX/SCsf/ev5oe53QW1aYc2kEuqO18sLIUJ4tK5+ZY+z3m/x4hNmpylYC4+JaJ2wFU2c+vBow4i1MufIF5/f89VXnzEfMtu68Xi58vi0cl0HU4ksWyMPyRPnJN4mpUQ+zJAiV1dTYChkLQkXLmVTVg3DHcWRuam4Z1+fu5lnCumlrnz63ZQ+WNpgadBG0D/b1XKACfbbBwNthMJ7E4M8IAMnG9xF45wT55A49s4ZYx6Dcwwkk4wyuIIquhtZ34tC6WorYEaeZ49bUBhdrYPRgxP9MkpacjWI+xtCr8Qhue1IenYSg3nOjBHYPFa2mrKg9j5q8+1TZKJpG2SPKlEE9/CsfEMZ+DEJMtoNjKVLMArDOyQ+ZSKFIBh2DKW+lu6RGeZErw8bw5/pkDMVHVCETC2Nl1LYhpsVMRhqkMt+6AbbpeB6fSRM6H5oVm0vMfu2zQ32KUXKKcV1BBnfgiuu/E8Kpnd/P4iCO8SrP4sxaosp66auCyfZtYk0XYhmUkfR3bnr8Ndogp9DJKZISpmybAryyxIDgFH6yloqvQ+mlEg5iYNoRdtkjBo/e2X0zhQSdVv43a9/xfPzhet14Z//i39JjJmYDjx89hUPLyu//vXXvH/cqC0Jmg0KtWylEFxqes6Ruxx5OCQ+OwXOsXCXOucIxzS4P02cZiOkgUXnsA7GKH6uRJUoBYfGLB8gZapv28OCIvRbZVhD3c+VbV15fn5mXa4qCcJj/Lv/Pr/TS2G9kD2Ct7ns8uPjRy5lU1JncrfsznDbINRKG0aLktT1IWmeDY85G/IS7IUs5nBFqZXuMr8QBjlESmtOdgWC49ki7JK7WjWVtSYZnnoCfGPg06oNkgB6k6Jkd5hXMe5Rx34ojj2YzSshfWIZfoj0oA7iNIzJ4TLzSwiXsI82cPsxtW3ekKQMJHUuD0LrxN6ZLXJMidkS2RopD968eeAv/+LHfPnFK5b1hcenwlYGW+qM5omkXbtVnBLTNJHj5BG8gZEzpzGzjg45UYGtrrTeedl0UZfeiCkrJTYkV9U0D2GrEIO7tjV9VjN6qaw9sHXYxGzTughpNU11egi6QP1SSKaLIHdJ+44xcG/G65Q55URunUxXU1QyGAU/47SQxUEwSTWT904v68paC5iXjzjB6HF4gnM8gri36rJeRXyY8ygg3wJDcNacEtUrU0v55MBW9IN8MtECNHODv2CUMDrBFS9ya8ugN7rwYXZys3uLmET6Ht/QCKH71qdLoJeqn2Hv4B77hLyTiXJCEz2MrjVKb6ygek0LrLV4053iK/aDNjg/pntJKhpL0b0mMvNZCPQybsR692yr/ZJovbm01E1hrurb1VO1FucWDYifYE1dG5i5ymevunS4Tomh5quhfpM7tNxalVu8Q7bgXhnlPDUG11JIeaYyeNlWrnXzQUJehj3qRblgEsNA0uU4+o3nfP/2G14uF9I08f0f/JDpMHP/6nO+1wa/+d0fePf2PdTdxiQTagiQhkLq3hwT5xS5nwOnWLifOvdz5pzh/hCYDxGLjTAFLBs9wbVv2DxxSCdSnplOJ0YIVEtYyvQg/qD5gOs+SxmK18rl5ZnnxyfWdRGy4QbB6s/Kn2hT+P8jEG/A8Xjg/Po1p9MdSylcHx9Zynbr3tUvV1BLa5WldeaYBBdVx/+BZIE5OkkUpSSqTgbBuB3K8olpEksm0qqDDkNT2uRkUW1cTbLBbH4g1d3S5oSrvwQ2YJi7OXXeO+GlBwKHHfb/vV8Mn2SPWS7RqjUaJ7ziaGTfTFJMLHXzoLM9DHoQQiOhQC0bnUhnDsZpOnAMidkiU5AmP1hjsPL6NDHboFwvLJcnlucnqUN64xAzpMDd4SAiClM7U8qUUrluG0ZknieOwdiQM3WeDiwbbGuktSB/weisQ16A4WSy8nok02xDG0ILSgct/ky0mAgpUlqn0rGUhY1bcDJfm082Jb9ONI6mLeAQjVcWeYiBCbXTTck4pkDrG6XpZScImhm9qcUuyyHK6OQYsDDpoQ8iZrWdaaVvoyoa2eE/2auC6/y1DYWo4MM6qsecDLINZvwww9xMaWwV6igOrfkWOfBDfni3N7csnhC0WbSwP1N4r3BjoMN5OKzWTR6A4WT5CMLit6HIE0FWzSWdesOrq9DMjKV1ltZYzViHcWmFpTUZON2WuCfHetLSjYQV1Ko00xD9Amnd29h0AMlM5pdidMe1HzY23GOCQ2d9Tzl1QUgVLwZgQdlc6jSOTPMs9eCAupcj4fyQ846wiy1wr5A+S3Fe4klGDCytwbawtcHzujBiIB8UAZ5zlmLLTF9vd53XggoLE8kHvd46y+WZ//V/+Z+ZDwe++vGPmaY7HkbgBz/6cz6+/8C333xD3VZaWUl0Zhsck/F6jryajIdD4OGQuMuD+0PnNEWmoCjsbpUedQLbFIlzxnIkponARJwPpHnWZkCEIIireBaU7cNzXSnbhfV64fLyzHK9ONmNBlTvkzAgfteBeHk+UBpstfP56cz98Ug4nfjm+dmLYkQCYypW34PNppRc5243lr825c7j6oWY1N1sQxrtHKRl33pVOUkwEaQOaUzmBzGoZB698yHgElTxGoYwyeEXkaY6b/eK6grAcdLhWvkc440j18bt7EKHMvyhRnxHqCqBb01hWapwFKwxWhHx06MHjIkbSUkKoznNzNGYCcwYx5iZiET08xMiIwaOMVIuV7brE5fri1b3ohJz+iBPkWmeAJ9Ig1790RuhylhFi4xhbNcrS69Mx5kpGIcpYeFA9R7eS6170riMf4ijKU269oY2hjKgWIAcORxOTKczL9eFx8dndiUNDoGMPmBIUjzZ4GSdh2jcJzhHuLPAceztcSLcU1SOzVY7naCBMewudP2eepMyzSwwpyTlGejQ2g/cqIt/n5pC2B3sODYu1QstMKJ5/AFkG+QhMQA4JCMlgQt8Itb37HsdUPvX6cNByyHjo34uY3Ohwe4dUQ6/Np8QlLclQYN4G/n9XKnWRTDHIEnnzifosdTkTzRd7ODyYFxwq6ydG57fxcuoT9L889QhMroC9KLLkPtobKVSOi7UGPpMY7793LWVT2bDHGXk3N3eY/iWo0uytX5DA5o3w+UpM82TOppLoTnUi0OaKSXVmjawPsimS2bYuMnERcoGbFpZLguXl2dKG2x/FMtReiOMeIO0VPOqMqeckzZRdH4EM6+45OZKVw3nzPk+8flX3+ezP/yex6cn6rYQeyOPyjEO3syJN4fI/QQPs0LsHg6Ju7kzecpqDJLbWoSWIjFl8nzCpkzMEzEcgCA/igWR2C6A0aUIvRS2deV6fWFbLxJQtD1+xtyoKjMxlnxIGd/tpTDNR6wPUp45Hk96CZvWx2SB8+HAZVnY1oWYfLpKiRETvbmhI+hWD6NLLuYTXXPSKwQpM8xfPr2xmuiCF9roBQx+uUhfLtjD8dHRNPmNQKvFYQtTDrpj3o4NSUTCbuESVKI+XS9c3/9e17ZQXEYXQ2TOgSnrM2i9k2YV99RaWLaNc9YDr3pGqTMiM1MI5KSIhikEJlCzUq1kkykrBUVud4PYBtvLQqkbaylOtAaoBqMRR2MKUEvV7Ff19VLrnIJKTmoVeZeHsdVOuVywNPQzzEfKYeLydKFcNi5VoWZTVIqn0oBNmmmMUjbBKTlDjKRpYj7MyjV6fmJdVhmWghyc1rXqptE4pMCbKfEQ4N46DzmQW3fDmpvabDBGVbBf1+SdSU4KB6C5Tl1QV7wd9OKHoil3qNXCCP47dmVP9CyeXh2+waEPT0xMnpArgtcJvDFo3TzxU8R79EtioAm6jz2xVbLWEYR3g3kciI7v0XRY7od6jPLjREmkdBhjmJcjjS6n9Z6E2du4XTi9ee9wDGy10KrypkqILL3xsm2sXZWhgo124luv1fDtOAy/kIT0qS62NpXl1Eapjd3byT6MxfBJPsuuKNOGWcquhdcz0F0SHIKRcpTTvDcsBKZ5Zppn9T8Dt4Y5U1JB3pGEIZd98MHPugmGRjzGVorEBDlRU2BZitzdOUtAEgPDFAsShy6pVorHsXemMRMte8y5NgktqHrHDwddWnV00jTx45/+lK0uvFye+N3libEO7lLgITZeZ3g1Dc65cTdFTlNX90FSW+SQYw7LStMNMUCcFFpnE8FmQspsWxFpndRS171+ABQJvi5X1uWFddtYt1VxHjG6yk0DQFV/KxYSpRdK/Y7Nazagt8715cq3X39L7Y2v33/LKJU44OTKGqtXrcNRmTLVJ6I+1ExFk+EqTVnQwND0IduYlBE7yakMHE1LKqiVLFEJmqJ/h69J5g5d4ZYDgj9kuK3dsW1/7ehDKatxJ8xMQs2yl6K7csKGUkBV6K4DQ7j1kCrGOudD5tWre+5PJ2rb+PjhvfDqKbnjWFHOrI2JQCaSkSEqGYwof0OwTg5qYxoG2wiMTTd8rZ1WoLSNran0xEKghUqNm/5UC+SYMEv0MFO6TGUbghPmkFV/ulwIcyeejoSkTJcYEku4MK4iJ/c46JQUy9yIgvg8MsIsYDGxlsL6+KQV1Q+6vfN5jwvJGMeUeZg0Rd1ROY/CGR1KZirMGeaVasIFlGdkSa1yZTBqpYWq0vk+SMm/Xldz1f77ySFC6LdY8eTPFylqkh+dtns8YhYUEwKjF69u7d4mB3MwapepMuBKse5qod0V3qVGClHqmNrUBma7lK3vQXVuh8E3Udz1jEqBaK4isn6LpxcVYZ/4Zb/jdvLfRqeO5l3gJtNaGyylMFK+CSV2xQ+Y4r3ZuRf/Ocbwzalq4IgyxwVL6h/xy82cs+mtEbI8AtF9NqVsEjSwQzzR29VuPDIWjEi8Hf6tVZZVEs7m21QM6gKxW5yIoKdbLhco9iRKjafSpiFOJCfKumozQKF+JEHUO48TY5TQIEry+/zyzHE+EcOk8ELMc8MkPInBuL+749oaS+kcz2e+/8Mf8PSXP2V7/y1br3w5Bx5i5RwK9xnuj4m7Q+B0NI5pMKNBtwfP4hqDlDMjeBlVc5GKGde66AJOCfPyon2AXa4X6rKwLRda2TyCvKv0K8tlvcfGKFJGHppO5ni++24vheuyqnlpE8yTcr61RE0KMcHmiV4KS1dwlb4Zr+Vr/eZobm74qq1RQsQ6rLVKPTAAAn20W7nIaDoslCMPvRVxDrtVfqjJIfol0YdvA8FfJsdPg+t/zW9cdcqq/KSDE7bjpoDY26L2CyhaIke9CDlFMpGIuoqPYXA3RXI6ketKayLZiEZrcp2GmJhCEvnG/udqwjSflgJdwW/TRGjGsm3U0tnWwosnMg7ki0iT8ijqspE8UDLOE4f5oEOvVJV9B8/pT3rAaltpVeU9A5hOibv7M3enE+vTwvp0ZVsLiUCeZsq2OSHdZSQ0uwW/DYzSLtzqNJPUPxqIOmE0JgucY+YuBY5miq7oBps7eP0CH1WRFSFFbQW1YU2VoRFjRB3OKUtds0MrIUaieTYUWs9HSDooosM7o9O9g7kiDmogqEZ87/BsoapIglaZzJhiYOkdQmKETBuVVtUmN2y4GVFl9btqrY9Oabv+zV/R4bCT//3RhKmHAUR1e+upc8goCPsvrdGqX9Bhh0CRljTo7xcGhEgFltpYW1dKpokb0PPuZUNmHgLow9folC61UMe3CM982iW+uy9DB3vfr21t66Xdtu8dUurdITKdZHo/feuM3p0hQ2bFgoauVrtSDti9B66QM5edewezbpjAlCeFZaZ4k/GmnMiHTKrZjaNe9NOaB0HqGx/OydxI8OFhmtFcKCCoq45O2lZ6rxzmRN2My3YhWeR4PvOXP/tLrm//wLu6cOwLD9m4j8b91Hh1SuQ8mOMuLAmqGk0aPkLK4glSBlNoHaYGucHwvCkN4maB3qtSWZ9foBdG26ilYCEp0ia6gdCJZVUNRyVEjMh8uud7P/jBd3spXLbC6XAAizxdrkRb1QO7dWfx5ReYp6RAvLq7miNbrR4F4URUGbxcC70OTvOkw94P6O7kpPVPNYVu9HeCVg+cCGP8UJkgOPbrK3KMgQnzDtdPTP2OQzZvPbKoBFCG4hMCgxQhG9IQx8AcYE6R0RtzCqQsZdQhJGITeTkxYL1SNmmPh2VBTWY3Ry+IGBXuHLEgaG1XoYgbaYy+6j0UUK0E0S6ppJzZkZglLY0mKCoa1LJi08xhypQGbchZOqdMss48BLO1uvJ8HdAyRW4s7h9OfPW9r9iuG7/6j7/mN7/8LfN0ZD4dYM5s1wvLptay1iUFLj6xVleVmI+zw1UYsTVOYfAmJ96kzus0OFKxUglTJohD1oUNTDm4YqvR+8YhTyLrA+TDrLDDXthqc0WYDsaQEiEmSnPDhzdg1fHpZcnDYxXyxEgTsLKsRWX0LmY4Hyb6GBpo8BL6PjikwNYbaTRmOmurbKNTvD/ZMHozr4iUOEKZVeNGrtIj1gbYLgt0vsNE4BvK3bexu5sDKU60ogKX6M99dMd9922mjEENgWLKV9qss9L0ex0dGyooCkMGul0iql4I2EuSdKkbMTssthsWgzgP7NO/Oxy6akPQ4h78B+Nmqqse8x1Tco5J7+pWK9M0S1xSN+H3OWOh3SJFQggOG+09DJLqphSopRAxDimTULTLVlZGjlgOzIfEmVnPUZWPISajh11OLG9I6MYUJ7Xv+aZUe2FsEOMBC/IBxWh8ePc1Hz58Qz4/cJg0sM6HI/GzL/nrn/8NvykL62//kUPYuM+Vz06B06zIj5Q9xypFVpMrPh7OxHkm5IMb0aLg9KCUZiypbaAo+qS1yrptXC4ikmUi79ReCW0QSPRW2UoXTFQqoUHMd5wfvsf5zQ9ZyVzi8U866//0PoUxdLhnb+9aV/3izYu6GQq9Qh/+sA49UHoRPBCDVs6hGIsYJSFbmjTJUqq40ckVJMEnne6mluF4vshfrdr7xSBY2Qmy7hEVQyqI3dQj5FmTk2zz7qB27sI8bO2UE6+OR16dZubQCa2K/B6NPOXbun1MM7TBuq70Vmievxf30DdzotvNRfOcyDEzhm88Az96dO0l85C/0W7uw9AHtEYy4/5w1IGAIj1SipqO3PV5ebkSBhyPR45hoj09M9JMzBP3x5mlVdo7qZZKmCBmhlUO08RP/uwn/PSnP6WWxrfv3kMMbKVQaiFkZaqUVun9U81iSPkTZDTc8T0Ue50ZTNE4mrk0L3FMgdS7ZMQxyQHc9inYZZx+8Q10CJgpDK50RYp055QweVXc9ceI2hjaaLRSBWNEDQDJoUyV0Ojzmyb9/HHAuolHCjFynE5YCuQpU2tluV6Z0kRsw4liY4sKbWzdp2aLjql7l7arcmzg5UMB6w4V7dEZ++HcpYzyhHNRwzEoHNAkxe5VGUk6dnWAK7hPevaONoa1FinEUAGUWefTGKQJfufE9iHEASTBYA5J7W7lsEOojoP/0WmgA3aE278vpd2nS2E/M+Q21ns2HHLDf8dzmJmyNmcpqvxrdH3/4CkAHhGuYdpcZda9PKeyjkIKM5Z0jhwOM2MYy/Pqz4Ckp8EVYPsza5540Fv9tOX42xijMpC2svLb3/yacDjwwz//Cw7nB/VZhEBMEw+v31B+8ENetkdO2zsOceV4NOZJBsmQhBYofVdnlaUZSzONoNiZblhKzn2EP3JFq3N6Wxe2srnqsdJNn4ngWZ03pVYWR2bGiPTaefPwwOdf/RmvvvdTlpGUsPon/OdPvhT2cpUNw5q+2V0BEUPUN+oPxNgnhiBiN6U9bgJ/WZQPlBQUg1I6BPu0Pad8X6GC44j+tdrwGc4Poe40sYX9SNHXx6RWiLZL8fTCjt1hagGXSmBdhPQxJR6mibs5c3+cOU+ZNFQAkoJe7BzS7eLZn+GcosNeWoPNBFtEws2CruhK1ThGNybtZqQdw7QwoHfVBa545+2A0phSYj6c/OUdTPPM8XggTSp/uV438t0sPbPj+d3gdHfmfP9AmieeLi+8PD9zyhNjbtghM8XKNB14/fo1P/jhD6Ab/8W/+TfUS+FX//Qrlqcnagwsy5VaVBYznFwcXS93dLxY3SmNCOQYOcbIMQYO08Q8TYThKasx+FRoxN5dGea4SJdax2K+4dxa8jwDx1DXtzOjAUlVy7YQsuTCZecXglHH4P58R0oTH5+eNBXGyOn+RBnQQmLdJDAYpVLLyiHPnI8nai1cLEsLHiGPgZXKdatSJ7lm36KJR5NkaM+HA9tzkCK36FW4wU7m75V3+On5DdzMeQ4uuoLG4y+CjJdtdFe1Ce8vLj0Un+efpxleLw+7MXOYbys+fDiLLK5A3Mwu2wy74grjU6nSHkWjy0Kha3uuMP9p/MYQdPPH/138jr84hndUj5t3Igb1vwdXG4JH2vfmfEAAJHGlK7tqLwJSZK/URXPOxFNQzLgbt/ZKVfkhpPm3AZ1Amg4aHJq5wbaJM1tXfv2rX/P2/Ue+fvuev/irf8bn3/8hfRg5Zu4fPiP94Md8uH7APlQyz4S5y5BmenbzdCDPWQQ3EmkMiwoU9K2WnVNqugBLKWqRWwvbelV0u8NDvXWapzPIYDioFiUKIBDixJdf/ZjXn/2AkO9Y6iCeT3z2va/+pLP+T74U6l7I4b/o3hoxiTxLOTPobOMTu939qB945PKoOjAM1U4mxQ9U3FvgUQi4ZhufRvv+sLguurbqf+r49HDhJBjugR4ODWlUk2mu79NKoYcgrHpUIp08Bqcp8fow8/qQOc+TVEJNlZ0Wkj+UaF0LRidocvTpK/gwZYiQTr79BAvKXEFlPOJGnAC6OTPNHdiCZna5RwiZzCDEzDQfmfNB07t3F4w+yJaY8kRiZlggHQ7cffYF4XDiftuwfOB0d0+pjVobb+5f0deNui4wIOeZ2uHx/UeW68rd+Y5Xr17z1z/7Gcu7J/7wuz+wuYIqIF383oNhocOwG5EfepMJL4g7OITAIQRlC7XCuq3Ck+PkE41SWcc+Bo7ubmRluNRabkqVunXWUkhJxU1xP2hB7t6hp63WXY6qjS6FzBwn5sOB+4cHvv3wkbV3vvzqe1ieef98oT+/yJm7rCwXnVaff/YF58ORd1+/5fIi6CzUwsiBcWecWuNaijfKKQJ7a5Uwz9qK2S9Kj2Ubeiu4HYjOwQTzmOPu2LsO4djYxx0VzLjjPQb5RoprX8eArTcn1fWs7gKOvUK0VR2MMhHiKp5we4dsNxoMka/BCfI+mlz+cT/yP10KO/kNnwY2xY58aozbzY97cN3w93L/M/RpKIxQMJFDOX2/VTW4td7oVRvVFCah7m0Qhjip3qBcVsLcCXPybV05WcEC1Y0PI3hUeEqkaZbJE9OvJUj6WWqlbkoAjtLSYhjr5cp/+Hd/x+OHZ/7mX3Vef/V95vOZfL4nf/El/fH7lH7BtkEPV3qoKJLbM9AIt4SDSlRPRZ4F37lXpQ89v8tyoW7iDGjisFTSo4G2VfE4t6SEDqUbzSYImfn8hi9/+FecX31BJXMp0F9W7OXKD/+Es/5PN6+VwsH2w0srbh/j08P1R+qe0b0e0PmBPUQruKsyuAJB5hl3Bw9NXT62SC/vvEIfY++quT2QO9nlqKY2B9dBG59W5NE7tSshsrtccAwjDpFA55Q4mnE3Z14fJ445cEiKV4gDVVl6uik4LxLMpbB2m6iaywrdcXe7sDpdskM9Fl4xOWAoNoFgtw7bHTYyU8/0NJ8YGOsqOZqC0MZN1td6p2yF4/HIw90b7h9ec3y4h/lAPJ344u6eMM2UKnXW+XiGPmjLwsvHD57xHynrxoe37/j6D38g/iDRWuEv/vwnbN8+8vjNW8pW9Pn6px2DuJjqUmKBFII+sgUOFjgg5zJDprbNBnk0miWKRxynEHSwuJpLv35JN28uVgt+8CkKIlu8CZSkUAE1dykGQe9YvPFUo1bWlwspRn70458QYuIXv/0tLy8vfPmD12wY75+eOM4HpsOR8/nEtm5sW2WyynE68Pr8wPvHR/rTR1rdaCEx5cQpJZbaWHpjXK66eLeVgnwmFiNdV4J+rzdOaN9sEb5t5jJXQTyjiQ8YziqbH2g7LKTIc3kOWt/LczyuOn4KRjOXonaH9Qb7oS6yeU+s3aXAu3x07G/W0PezyzSH2U3Pn0N0uEgwmtDaTkpJhHaQ8qg7P7I32NVWBSHvm4x5/LOvVv1GP2jbsdDoRCXZ8gmF0JQs3mDrha1XdYL0TpgUhT2QUztPmTSSknH9gsppcqOtYLJmghEvy4L1yAE5zQ/zzFo2VQI045vf/Z7S/kd++s//M/7sJz/h1ZyxdGS6e4Utr7HnhdZEWk8pyoMV92Q1CW20bctTY1mAdvUe6lJWnh6fdIn7uffH21kHWvOtvA1G1KVgeeZwuiekE599/gOOD1+R5ge2rbG2SikVe375k876P51TQDb6WhtT0G27OyG3UoTFpSSVje1Tb7+pjSzJZBWGDrXiHgeiYp8HIgKrx2XvVY07VCOSLUp14STdp4vBD9XuuUoGUzJynkjR5O4dlWzK8rFgHKfEOWfucuJscIiB8xQ4HSeSuWRtAG3cLr8QnGQ2o1ZNEcGCyEu/GKUWKd6m9Z9OUxaFPZu5ksQ7d3a/xRhakVNMTKcTp/tXxJj5+PGR63VVH7Rn0oQAy7rxslzJzy+U1bt+T0fuXs3E44wlQQLX64Uf/vDH3J3OPH74wDetUZeVQtO0nwZsjWM+8nD/wDkf4LJx+pfQXl74t//7P/K7Dx8o/vMOx4UDf7Qpue/iGCJ3OTMHJZCmLo15N9w0JfxbyblBh3yQ7pzhUEFrVNINcuwMLGXmw4HRGs3M1+4Bw6MgXEEWYyYGqd1SMJZ1ZXP37+9//WsqghauT0/kH0f+6i/+kjTNBDPOh5nf/Po33N3fc3c6szxdsK2S88Rhnnnod9h2YWwL27IRSr1VUvbeGFdY/PfbbDiUJfIo+WUgZejYZ5+b6XE4XLJHSmszs1tab4i+8Tpk2tjhKwXkWYzsial77ay5VyQl79AYQ2R3d85vuIls1Jtx7vYfv7jkrbid2bftRD/DuL2DSsCNt6FNkdrxBicFCzdnsx4fj8N29Q8+UDKGssOGpwLvB6JDcQP/jMS2+vMXiCR67ZS+EVskzkmX6GiEqGfMbBe/6FBuTd+DAS/LhafnK9eXhfvTax7MGEPNc1OK9F7pZYBNPL7/yG9++SvePLzm8OYVU0iku3v68open1ivF2Io5DS0rUwz3ZI8LFXQUvefR4munWWtrNvKulx4fnryM0IeEoafRUkQ1BhBsuSuPnnmic+/+CEPb75HGxMPr7+kcWRrieJlO6V1Hp+v3+2lUH3SziEqWdSdMFupmuhw8qPvwXOqZLSwh4QJFggpgjWf4B0ykpD6U5rm7eHe3ZbOJzTJO0JyeZpDLWZSQO0l4LTOfJj48s0r7vPEcrnwzfv3lB7cMBI5TolDDBz4FLkQRqEuDZsmYvYXvTdtsZ55RC1M00RIgbH5ie8P7T4NDc9x6l2k6zRNnA4zvURKWXXJINfxLZgsBr9kUR590mQzYoSUGLEKGvn/sPZnzZZkZ3om9qzJ3ffeZ44TU0ZEZgIJIIEqVrFVYpea3aJJrQtdyWQyST9RZrqVmczUN5SpJXY3WyySQLEKQ6ESQA4xx5nPHtzXqIvv8x1J3Ygyy6SlEQVkRsTZ232tb3jf53WyKJ1DUmwr5Ji4ub1lvdmxjZFHJfP4xQtCL+3pwWogeMtyOOTo+GjvHUkxMl7uaEOH6W/J28Tj88ccL1dcv3rL+O6SP//Zl7hhyeaX/4677Zak7Bkj5nVAWES9NfTO02Nwpe67oqauUlmISiXYgrTLqYJpGZjNU/XjkrM26bCUCNkPgxz8MSEy2KzKErvfydSG4grY/zrBiazU07i7vhKgX6n0BwfcXH5gGJZ8cn7Om3fv+PbrN3Rdx2IYODg8pPc977cTd5stKSVOj49YtoGjPHF9eUPaJVKrTDRa10kU5L6rEvpnMLJkNEgJ3JiXayI+mJ+ZUkWObdShn2rCFFUHIf9KrlmVSfNgFj3wZKGZVeaqJAvsvFDWCUkrso+bOxT5vRUnb2ZDneZc69LY6u8/bwtns5qwmqz+WnqJGUPN8uuW/S5hzuDW79XIMxFLlm4gqFwbUBCTkAsUfDcTaL1z+6KpNAMq1WxGPqPgLNVUKdqsYOKbkSINI5G1NniybZQiIgaLxpvmyO3dmt0oI5uUolTqIWgsr8pljQMaNUdamshpZDd1tGDwiwPcwTEt3ZHSHduScEUk2hYnI55c9uddQ/I30nak0hjHSIyJ3bhhJs5OsZDVxGeNZbMddZriyNVQisF2A+dPXvDZT74kN8fdOjNli42NZfA4F/BEKo3d9AOH7JRSNNtV9dSKCxAdNDrnmhHXUu3Ig29EOaEPv0hDZc5pkIVk0560NrkorM7ijS4TRV42L8XaXpLXqkDInBE8Qhe8GJPSxGBF9bLqLIMJpCkwpTmKz+FNI1AYjGFhoVO3damW1oJU77rjEH+DJaUJqjycUt00aGLyqTSqJqrtlQ21qatQwH8hBGqOivQQiN2sCbfOI8wo+TWSqo7KtCY34f2MaUc1stS03nFwdIRxhuuLC6ZtZIyR+C6zSTu2ceTHX37Jsg+cnz8iZqkv+2WPDZaxZrCO49Uh3WrFNld+9W9+Seh6/sV/9c95+OCcy9WSdnzEZy+e8fuv/8j9ZiMviVOUSUGX8I7eetnDNDBFyJ6tzVNjqfZzLYxNgIUEg7ciVxwR9c1cedKaIsY91gZyheOzR5w/eMC3f/oT292O3nYEL3NmiwANZY/jGLqeajtKTnROFqGdtxwcHXO32ZDiiC+Ng9ARSuH2wyXp/h7iRDf09CFwdHTE6smBZDffr9nc3ZLzxIPjFYvDh1yvDtiuJy6vr7m6v8NYQzg4IGx33EwTmywHXHFelUDStek6XR4f2v7whP0UXS5TBNBntQurTXNFxJghTthaFRNvNKREpNhYNUUi74q1evEUQWLUKF111uUturCsteF0LwAfl9wWqwV92490DQJjNEbHpY2PikEQT4LKWCV2FzWjKpDQNJ39zz2CFJPBWgUYSudcENd26IJ2LNIhlFopWUZoPsiYJoQgjDQj/33SPUUzuk8sKmhJoqLzviOlwt3tPZvdSMoy2mqtEONI5w14hCxspTrPtVDTREsjtskhP0bx4tjFIS6eUMdbWixkW4gVWswy/tSgLGflIks5SiebM9MkrLQcI1AInWSq5Bx1CS8BWbk0uqETEYq1HJ8+4uHjFxg3MG4jipgjdB0gxXnnO2Gt2R+YffTxyZ2t+7NZxezbSjGK6aikmX0CkgDH5LaTVCu5VNLsfjROAVqiOZ8XKrPz01rhhDTtJoqGjJhacR56H1gNA8uhw7VKmjzGVNq0I9WId4bBGVpGEto0W9U7Q/DCXqJVgXbh8L7o0swT9M/TeU8KTtEDKhbQ5dzsWpbSWSopMTUVUhRceC2FYfAfMRu1YFHfgFbUqRZya9SUSLstSxfIuWBtEIcpjZQSvusotXJ5fU3XB5FZWjGUbacddu359o9fcX9/y4PHjzl/8gmuH7ChZyoTTz9/AZ1le7elVXj67Dmt7/j3v/sN/83/5f/G7vaef/HXfw2t8fb1a95eX1NTZtF19F2gWMt6HKm1qoNY/0YOMd2wisrGyIhgDuDBWZHnWY847oSeCXroFKssKpFc5pRxXc/1tvDjP3vBw+L57k9fUadJdPIpM1hD72XcEWPCW5H+ziueVgt5HBmdo8aIyZGuNVbOYaeJzYcPbG9uGDrHZ48e8/j5CxKGs/NzHj1+yu/+/b9ne3/LsnM8PDzk7MExT0/OWG8iX3/9NTVPxFKZWsOEgMmFmkbZD6DqJDNbJvUvfYdyzvulsNWR2jwOlVGoEVkjEJqOQLy4eTGymMwqjRWEhqBeVAO0XxBjjLiPrXQhJRZZZPLRT2TtvP+T3YBTMFyt0gW0pn4G5u7D7MUV++8P/e6BZj6m3tEazUIX/L7jn+dpkgkt74QRWqB8Uk069YqlFkM1ol6rBUrW3YhxxCnTNYln9U02u6mKEjC1KpJQKx2HtXIxpjRikHdzN42yr8sFgyWOI/d3t5iWWK16sOJutiZotkrBlAlnKt4ZplzBOPp+CctD7PaQ1hKVSEbHm024RNI5i6s6xsi4G+VM0EWyx8mYPn5UWJY6G0M7kWn7BWnK9KsjnnzyI84efEJzjkO/xPcZ6wKLRUfJouwzSOdkdS/x/+uv/78uhVnq2Kosdb1S9yofQz+ck8NhQLqKURkjRR/+4ty+2khN/vu+X+gi1+xBdbVVWi6quJBFlTEGk7OwkmrVKtWz6HuODlb0wVHGnbhisbScaK6BHu61SjCONbDoZKTSedkxpJx0t9GoSWBqxiCOYERJFLpB4XdZxlSK+jVVFRRIg51L2c9CjZXPIeZM2iSshU4j9Zr6O0orGi4uVWBOmWk7Ah5rZXFXmqpIStmjlsuMHLeWfrGQyrCJ5HPabHm5/hPr+3umGOkOjyjWszg65vHzp7z48edMdzteff0SZwNTAZsN65s7/u6Xf0e+WxOvr7h+956r7RZLY9H3ZG+JRgxHNHHkinhFFFO1yoih6mxdEN6ShZtQx2ptoJkXZQ42b1Uc8PN+qamSZuh58vxTjk/O+OIX/5Sf/pN/ym9+9St++2//DeP9DZ0PjDHRTKbvJWxlfb8WsGAwLIZOAGK1MG7uCf3A0WJg2qzZXFyytrd0zXAUOnbbLePVDVcucBsj05T54mdf0vcdd9fX2LLDTBvy+oijs4eApMAdLxasN1vKbuTAWtrQy/Ock+wXdORX2yyNaHv8hGCn2/6dKqZhbNs/f7mKK92qQshYYWMFbyV0yRpiLkz6TAhuouwvmtoaLRdRizmRSDff9jgKGekIjM8HD1hmeF1KWboEzQtAq3vDXqy0v1SMtj+1ZlrTPeD8DKiowO53DvM90TCKQmH/DBTxrljFkqvr2Ojnlkomp6rUGyfsq6JngbPKR2sKTxSVTy1FLoWG5mKLOqxkERRkjQR2zhFckMuwZna7Nd4VSglY3+3NbNYYegfOCGetFUGvt9rwrsMMK1oaqUVGPDlNUkBZ6RqnaSK2RoyRaZr0dJ1T4QrBu72gRBSrlVYzwQas75lyI1XLg+Mzzh99QtcfUq3hYDmwmUZahUUXJA2zWbZjJO+2TPEHTl77fks5V+pWDRkz9dGFIPp/i/D1EXxFaZWaEqUUeZBpupQqQv3EKs9fdbdNeCOlzCwcpw+mPOgheHFM0+iCZzEMDF2H18tJWm5pw2POTCmRU9k7Izsf6H0vTkdk6V2NxfiO0CzOOJyVpfmMycgx4Y06Htqsrxa8AUY12W3GLtg9gsHN4fJIq5+SSHu7LlAjTOOoYzcjqVjeyT4hS+cSvKOUKPJKY6nVkHYTzTS89xK0UTMMjocPzvnkyRNyTux2OwkRCR1GL9VdTEz3t1zc3/Ls2QvOHz1ic7PhD7//I3e7keuLS3bTjrdv3rG+uqQvGV8bd7tRxl1GOCsSeiROV1Pa/nITd6t0jqLDN3tzocrC9oj0jOwAki0fF6MYum6gH5bc3W+ptXF2dMqzz3/CFz/5GZ988TOsqRwdHmNz5ne/+neMt1e42mjTJHwcY3FtVu00spendm/h8gFnPA9PTtjd3uHCwOHxCfeba5YGrl6+5vZ+w5d/9Vesjo5488033F7d0HImbjbcTjt2lx+4fbRmOD1nOXQ8PD2FlEi7UTT7fS97oGmkxsioW+X5MKzzYYoiquex2fc+Kuvlny+pUlrGWcEeWCcjojmXw3uZoUtwk6FkyU4wVYod2kfT1/6ln0eZtaoSJ2CtZxgGrLE625Y4x+//VbVytYqpaCoksbqPmG8JmZt/ZPA4Z3FdhzGQYlKFmOJHrLinrQoWaEJctSCXo9W4SQcxCro758qMpG+lyPgqFtlLFQnwqaGjNSuUZdOoVnYBNjhC3yG+DVUiBcHyBN9hWqNzniE4qIn1+o5+6OmGA6zraGRoDmsy07hhyFGKnmqIRd5573qKcVCgqOkR7YZLTOzWG82tNpQ4Z07oyr5kmiYpGkSkM++RyDN+xLI8OuT0/DGhXxKTXvoxiQm4VWqZmLaR29s1tzcbpixk6P+Uv/6TLwXvjTKFJAzEIiHqtcoD15zc2taJAacYgdlZZIQgbkmwVeSDZkbqUkWh4fUQ0RQmG9x+7ppLJpeERaSmPohW2bbKIgQGJ1AuoxI0vAeqoGdT01va0XkJo3ddJw+K6LowKMnRCEBohqHlWjAZ8RXsl8lyuJSGJkdNEjpei7LwLbZ6kYxhGEIntFQDNY6kCrFCZzzFFsYiVUpTiR05y3Ko83IRKhPJOa/dRZUxApXgwBgJf/etsGDkZ198xoMnz7jbjrx++44xJT7c3jKlwmZMXL6/Yb3bsdsk/Bc/xTjD1d0Vby+uaEAIC0pxZDqWy0OuLy+5uNtiOk/RyqxT9ZUFWstYVcRkpDMQ2oVUlvLEqHLEyMVHbTQnUjwpheTlXC5XnB6fcnx0zP16y25MPHhwjqVS8sSH199xe3XN47NTPn3xGd/84+9Z31zhvKdWQQF46zAu4L2h6zuGXlAZJZf9TPzgcMFmu2UYDiQTuFQOFiu6VumPj3kXJy5v77CLQ24+XHOyOuann37B1//4G9K0JlFYv/vAkBpf/OhzHj44p5bClCe2MeJNY+ktxy6QTKbuRrJxqChVRmroCFIZTkYXCkbfIWfBO6sZvI6+C8zKfu+NLtRl92BE6k6rH2NTRXkklbMzM8NIqmTjHLUKKyoEGYmUVEnjjuCl87VFaMaiEJIiSPKam3Tf2tmgM/95IT0bVucxsjNGfk89rFIpBCNy9JKLzMubobeOIXj63snSOCfxBtmqXagANUUx1EALLWMMxhsKELVjFyZboihOXtRqMlKyrRLzJAj7rpPRcNcRYyamSI5ZMro7J3BKqymKfqKUjmpEvbTdrHn36jvByhwc47wEkNUSqG4guyWxRXytDFbGqrvtjnF7z7QVaajRuOFaxdSnYktyzTK2dhbTNILVOFIGHzxHZ485e/SMcHTO28t7pimDNeQacUHMogbDuB25ub5nu4u05vA/tKO5UL53MIpaROzgYMzMI5f/Zw1aPRRh4auWuVnVtBtVLSDpZSDVfSsyo27GklWLa/XDyjntGSo2pz2jyFugJLlFlaooZ43kAMgF7ehCL7K9WvchJTVnTKv476kqcpN5nzcAkiRmq5AlZxZOa22P/h7jyDhlGYkahw0deUyUKhLUVDM9jqHvyS2DhVgq691EzRNjERqmzJPFNe6sWOyNl6B1rCxKnXWyoCuZ3hv6YOisBNMse0N1ibK7xfpnNO/405u3vHr7Dtt13G8n7neJhOfk9IRFN5CmCRysTlZsXn/HVOHg5Jwf/fRLTs/OKCWRu695Nya2uy3GwmI5cHR4wEGK3N3dKKaEj+RYZ3DowrFqVkWrVOskTU8TzvDozFQ+Z+s6wrAgBHmgq0YbpnHN62++Yn13xXh3zdXbC75qDdMk49oGz/36lqASWKlkxTHjs2Hcyjgt1wrWsug6huWSgmdYrXj27AXW99xf3pDXG8bayBWWR6c8++KnjOtIne54/vgFvhRev/+Om/GebCx9tZycPMCZxtnDB8Q28e7De3JKLIIo3YzpIUXWSRzcYMhWlVhKfpqzHmT3IIWQeDXU3U2l1ojzVvdrDc2jpWrHVZuEr5RSSKVgnezCqEUuGoMGJ8kOK3jFjNQimJZUCE6W9MNyydY5bm/upGBTl5DByvhImy6hDejYRxEg1dh9cJVTU1YzRlRATWnJFd0ryhjKqY+hC55F6LClqCej6MWRaOqCNxgwVgycRsUlVgrMqUoAkAUoGRs8znqmkoiIX8nWucOV3Yr16juyljSpWbIVYkyE3rHoB3pvMC1T4k4KRwz3t7estzsub255+MlzHj/9hIODJRnP1DzVL8huIhcpPm2q7DZb4naNm7uGLHK5meYQnKipSi246nTs5okpkzN0B0s+efETjh+/oNiOlx/u2K539M7rs9E4f3hGro3ry0s2my27XcQiRfLsP/nhLgVtzYXwaRTzq7KwpjGZihVoM6+kQec8uYoCZ7bvNz1AmippBBkhh2g1RkicJcv809Q9O0ikh7LX6INjEYLEetZCq/PIZrb1y1LbKYPB66O9f+nm3UgTeuu8bCtateci885mNOFoBoNpa9wUSDaHqAvetsnnUlE2S2JMa8bQwdEhBllMoUt22Usg4zIXFHUrb12MkRpHCU33HcOi4+z4lO39HZu7Wxa952DZ8+jBCY5CGu+4uLrmN7/6N3y4uWY4fcSyd1zf3LCeElNubGPGuo407ahpx5uXL+mCZ73dIvycxtHpGcvDY2JpPHjwCNcNjDnx7bdfM00jtRkePDiXrhBYY8hx0uNNxghFNpIy18Yymw1Tzjp2kHFT8LJ4D8ELusJ5Uorcp0grkUUIkCeub+5Y315jUyQQ+PDuHa0mStqRcxIeVe3fR+kAAQAASURBVEka4iK/v9XEsRqlvV8sFpwcH3N6dsZidUQ/JM4ePOTFixfE3GDKEBzvb26o00Tc7bCLnk+++BH/8O9+xe7+jq0xPPuzP+PUTLx99R4/WWo0eGc5WRwy9ivu8DIOK4ZgDBaP7RfEuCaryMIiS3Sri3dD04wCIyMTY7C6a0G71nn2FGZWkF5yKRfZ2aW8N0DNz7CZzW9V4zZh77zHOgkymibIhWDFtHnUdxwdHbILnrTZcJ+jKOKMFGdNF+KliVtXDsmZ31+ECgwfu0C9TqRREReujBBlXOIAnNmPOJ0VRlrXddRiGNV5n2IGrHaictA2KtXO5GMwWcxybUbHNPFWxRgFL96kaPVdJ8KSGun9AmMsQ+doOYmk1lS8cwRnGIKl89KVVIpkbkjUCONuy/XXf+L9xRX36w2fffYpi85hrceGBb5P5JyY0pa8HdltR0iFYNoeu9Ec85sjijLjoUmR6V1PLJVsBlbHJzz85FNWR+fc3o7cbG5JGlo/pkRvAmcnJxyfnnF59YH1KPJxrMH6QC2N/D3ixA9yKXjn9r6AppXg3DLOgDpTPyqTMHMGgcOQ9WCYGUfqa9B5c9d1sjh1loIh5SgHujHYIkHvMz7ZWSutpvMM3knoemt7rHCxbt+SUSqd83Q+SKZvFZV2pzJYo7NeUOembfgu0GoVJEWVX7eUhKHJchWEk6NuZGM9vjP6s8vP75ygLcZtpGWRwaZxS9cJ9lke8kRJI61W+r6TmSbCVs+lEjdr9XhYUpzIKcq/f3TIbn3HGEe8q+R6RDONq+s7tps1ZbtljCPu8IzYHWJt4/L2jup6Ukw4G0nTluvrC/oQODs9YTeJesb3CzbjxGacePjoMWcPH9MvFpy+e831zRXtDqZpYhwn+k7w1c55mi20kqEZRYDXvQxzzt7FfHSo08QrgJUXIxjJOYgx0aYIJeNa5fD0hIPVgrhds93c8vJPE7Z5VqsVzsG4mZh2W7rgCM6rKkYKjlKr7IkawpMqRcUQolLpVoGD5ZLLDx+4vrnFNcP27pr72xvqmNit70i7Dd3JAacvPuG73/yO6gOPHj+hP/KU/oh3v/uWq/stzx6d04wj+I7jg0PqjaTGGeXr2H7B1TQxFXGpei8CglKh4iSpr1X2cjuPyJ6ZmVCox+Cjs3UPIsTIqKVZSi6CaShFQGnOqfJFDklnpGsXx7ej73tCbcQ2yrvVxO3O0HMQAudHh7S25n5StZ+SB2ajpuyWdd6tXcIsJW9N9mRtj+sQE5x0kHLhOe06iu7+NrWSbaK3lm7osN7RNcTDo3LRpAUYuiyOpWA9YvICqHnvd6ElMbTWiqXimlxCNkbpEDpPjhPNGELnJbuiOl1cF7yxtJJwnXR2xoC3DWulKyrWsuw92+2GP/7hK6iVF8+ecDh0WD9g+sK02zFNmbgVw6OrReCN1pKKiiy0K8JKESuKqkrtLVM2LA9POXv6Gf3hGVMRl/zQOeoUFQvTWB0e8PDRY1YHSxoiEri+vmGctkgIry7uf9hLwVK1PW+gB6KiBGBfoYuxSr58b51GC+rCq4pqSPCWH//Z0qpwY4wsxVIpDF0gl0JnDP2MuM2VDsMyeIbg5QtuVRY6mkomowtpwzye3luGzmKcIWVd/uqDiNFln6pmaq5i3zczRamJyQZZfNcU95AuZwTyl2uVHIgqxh9rLa00nOb+dgvHcrnAmKZpTqK/tk0D0WslpYrzhtXBAavDQ3Eva7DINE1MU6S0yvHJCX0IVGdY9CtiSfz2q69YLDrquKXFzHIZyNtbLq6v+PomcdUG1tEw1YqphYXXRLcgZqub21uM83TDgv7oAcPqkEdPn/PP/vqveXB2yq///m/ZbkdC17NcHXBzc8XFh0uclVxuZwLNVVLMlKrQNjMrDuVTTLUIGsMaDG5/0NUG3ndULOvNjrjdsvSewRmWwVHGkWSgjmuahpEXOlKy5Diy3a7BQMoyXpAmGeXCGKacCCLoYrvdklJms9mxXK7oup7gO5arA7brO6bdjrhdM+121ElkrmHZMzYwy4Hu8JDPf/SXPPnLL2nHns+uN/x+9e+5fP0ae38PxpCdw3S9hL1kMVSaUrEUTg8PmLZbSkrSURsUaoY+abNYVQqteT8vC1kZiVntJua/pEtFN3eWUuV5TTrT74yIHgKWYA3eqKutGUmmq/JvLnvBrbdSaTkybtccHx7x6PSE0izx+paYM+ji2ADWBdHsq3dodh3Lf56T6gQO6Zqlevm996q0JvJwFBlTlCEVrSN3Hpyhcx686O2NKrBaEnMgztNaJVfxvxhnxfVtrMhadTLXeclzNzhshUXwUCupZlItbLcjzVuCXdA76AZPGjO2le/lqMueMdcMeSJnZalWuSyC8YzbHS9fvmTRdyyffYL1PcFZFrVSdjdE50U63qDlinfy/Tl9ZiVjvkoGOrK0tmSGgzMePv8Jy6NzUjXEbKhNis5gK5txg7GNKUZu7+44Oz/h6SfPWCxXrA4+8O7de7abkZSEgvCDXgpGQV1WM4xnbLBUK22/AJKWVQ5mbxxTjlIpUvcPEK2qbFENMrUS+p5YC7EKaC/WQuecBPsUidQcfMfgBVExBBkZSCudSVPBKHRrRlJY5wk6g6dWggG8YJ4tRiccukxr6tRUblFKOrOepXEqsxPVhzwkUyzkpmhuI+wZOexkjn5wsBTktml0XcBaSXoqVRQg1hmmGCX0fjeC7zh+cM7ZwTGbceTq6oIxFaQU6onNYK3DLQ/ZxJHdZuLi/SWtJJ48OOPRySlPH58y9IF1M3z4D3/i2/cjk1kQq6H3gWYKh4cHPHv2gtVyyfXNNZfXdzx5+phnP/6S48fPePL8M6aYuLi8ElNNg4PlARbDdr1hs95Qa2HoOx3pyWG/7wYUdRxCUNNi3Y/2nBUuUNGQpaYocUn9SvjW8E0uLtMai+BZeEcxjUXn6BcrhsWCUjt2u7UwrXIG43HBI3ugxpzRnVqFJIfVNAlr/v7ujr4Tk9onT59xdnxAXvW8fHVLTDt8NbTdlloSq0+ecXB1x9APXLx6w9nnL1g9/4zu8Jxf/C8O+Mdf/nvWV++xoeDbMXl3x2grE4nddmJKheY9/bBg4Sy7qVDyRDMOqjqvqaqwkYWwtVL5iqBHPrPgJQNZnlsZM6YskEY5GBuxSmBObQ3TCrkkgpe4y94FgpUs9JTE8FmN0FZ7Je7GcSJPke3mHm9g6Ac6Z+gsSrXVTIUm3TN1NifqWLiK8MFgVEmkewY1XRndLTjNuKi1Yb382q0UbKlEZ8mtMObMajEQvCe1JumBpZArkhNe5RqdJbnNGPEtIdQFUSpmlguvB74n6Bi584FUC1ebe2zKFGtYBLM3y4Y+YItE+M5RvpRKLQmTPSK49hgcwXV6kBpqyqSY8b6nNVFV+sUBw+ERcb0Ad4fFY6qM+kqpaEgMrTbZOVZDwWK7gYThyaOnPH7xIy5udzQXxHQYMyVNksKWRox33NzcAI3PPn+BtY6TkxMWiwV9P/Dyu1e8f3/BNI0/7KUwQ+2Q83E/+jGqbDDeU5Xe54LmJRhL8EGwBxpk0pRZUtQFLFZ5YbfIMkzmzd6KYokmL0znAkvvWQVP5xqmJGpOYjzTpSatEpSZ1Jpo4gXjrPIMKxGSpcoBUbLuQrT6kiWWUbenLrW16yimSaVljOYzqAMaQEck39edG0QpEJyTlz5YYoz7DFtnDK05rAu0kkgxsd7suL694+xBz+r4lOv1hpYhdD0Hp+fQDdxNkXWu3N5tuL+9I1ZHywW7nlgdHpJtoFsdcNwt+Oxz+MP919gUCKHHu0YgcXp6CrVwdnpM1wWMC5w8fsyXP/uS5z/9BScPHnJ1fcN3337NdrPh2dMn5DTx4cN77u/vubudaLWRYhYljabq0YSCb52TotGYPasq5ShqFfuRW19ao6SMr9BbkQTPJGHBqCdyyczy12effMKDp8/YbLes12uG5cD95h6vo4RcRF0TvBQuzWgVVst+hJJzFiRxLrz67jum3Y6HDx/y8PE5Jw+PmXZb2iZz8foV3/767/niySOgcv3uLbuLW6Zxy8/tf8XJj79gdX7GL/7zv+Lm7Uv++Pe/5Ob9mm0ayRRijkxxxxgzwS0xKdK1wjJYdruJ5r2ohZSvE4LX+XyDNsPxKt4bHTeJ9Dtn+cytmxeUEiSV9JmtKrSQvV+hxInWN9ndFZX+GsmTsNYSg6fWwnbcMo0jLSW8Ndzc3bAYBioBT6OzkomSWhWTnEZnGg1pkkms1f2FUxaSGt1aFUWaESktTSTc1TdSVQWTBYxj1PHX0AVs65lilB2GM5RYtDPMpKq8pyqydZNlBygJbxZvG72Hg9CzGjo6A12FGhPBFFpnoXZYX5moLIYe1wVSSkTTaLEKIsVbHFLElTGTdlvwPdZbnAsk5FIL1u6zWqRA7KglYbuBsFgR+gXGd9AED1JyplXZHVgVtdRSBNsxdOA9/eKQB48fE4FiLYvVkun2njHtaDnLWMiouCAXYpy4v1/jvSOlRN/3PH36lGmcuL29lUvoh7wUZvR00TVSo+HQGLtSQReKTvMGcs4kXR77ELBNxjDfz6rVApvaGjELVE90euIs9EBnYRU8B8HRtYptmd550f8aQShbb6HKqMLMEjwMwXk6J2YxWaQWUo7KHTdzN/xxCa7bOFnSuf1/V2aUgtN1apVlsrVepMVNf4YURcdk5KKr2y1dJ5K/XYrEuKPmIqlS1opZqdU92CpPkbcfLrjd7OiXB9huRdomajNMGEq34OLqlovLa2JMZDzFdsRWqVPBX91BMGxK5vTRgp/+2S+Yjp7yN7/+E3e7zNHBkvPDBT/59BmDlx3L2ckxxyenfPqzP8evlixC4OnDRxwdrHj/6ltanHh8fs7QBRZ9z+3NDdRKjJMGH30MZJndrk1rqVYrRjEOBanqqpEQmKwjPJG1yrPkgdQa1QSqMcTa6FcrngwDb16/ZozCcJlyYjPuyE2yiBd9jzOGpIdPZ/R7yVncse2jugzAO68yzInri/fs1jdsNtccnB1ibBOmzfqab3//W04fPSTdbMh39+TbO17/9vfYpePszQdOn37Cg4enPH7+jNNg+DZY/sPNJaOBMWVICZczjBM+QF8KC6DX4aT88KI6MlSJGKVRnMU0cSzbKhdFq4KgL1X05k1d7DFnJvXi1JIk+hFDZ2AwYEumTbLHac6J/yXNY1yj6rAiSPQcdYkrn9OUxPuwDIGFdn27UbAMwTmyaRQjiPuiSqnOSGJZrY1xzNIFWCsXXbMfD007+zbafkntUQmudexKoY5bgvMMQy9dhbN4LJ0a8ubX1wI1Jz3EBWviySycYWErXUv4UjFFKKreViyBhYdYJAvioO8YDo8opXB3d8cuJ9lrNhm7ee9pHeymwpQSMTWsbxA6guvEVDqNtFzwVjLonVtgWiKXM+LRA8J6w1QqrUQ5L2rFFUMwcp3MkaU1yRL95z//nKOzB9xPidB3xBxpCN8pNfHF1CqG35wyt7d3vH71GmctOSdu2x3D0HN4dMj5wwe8ffv2h70UqratNWWpAI1IDwXRI4qSoesVF8wes4uVFKmWilbzutwVDasWGXoZaFNmWsPnTOcMqxA4HAIr7yBGyIlsJfhGjGWNoNApmvx3tYp6wDurD7xgiKse3uiOg/nPCHsia85FpK/KFzIWyLpcMxoVqpekHDKaqas/K7pHySmRc2SoA4thQUlRsgP08zJlVlA0uWiQKL5ps+FmvaXr15RmiHKb8f7qhrHCerPhfpSHqhlLxkO/ZB23mM2OdgF0PQdPAyeHR/zFLx7ihgMurjdSoUw7bq6v+fOf/oTtZsPdZs3R6UM+e/4J37675uuvvuLm+gbnDBevv+X2wzsWQ8fb7y4FodHEMDgMPblEahYwXUmZlJLo7ktFpkYNU+TCmHXqRc4BSpOLoiKz6GKMwOqapRhLxBCbYZsqzz/5hO7gkM1my+JgxZgLb//xK25u78B5MYpZjW/UX9POvBuQxSpSPVvr6EKgDx6ZCBdqnihpxNQlq2XPuB5J00hd37OiYYPn2ekR/dEJsSS2F5fcW0dfKgfTlhZ3vPvD77n57jv6mFhVwy5mpimrWELGBFl/7pVTsBrIclHFESlncsuYYqkkgrfYFshWAG5zFTPnEtDMPpRKup9Ej2MZvFBq9bsCcKpASiliFCWSm9BW2/xrGitoEuVOVUVcDyFoKI1jFTpRx+XEmDIxJ2IWCbb1ogjs+55mDLvg2U2RVKsSXitZ3z9rdaFbJbOkOd05lEqscrm3ZJhiItfGwcEK18TgtlwM2JgYx0kkDVkIAiH0HK6Wwhmrkd5UvGm0nETaXRW2V4UDRRGPTWdlTG2b5IvE0BONx7amTC2HbYZF6PHOYqbENmbStKO3DmvnxLOGN8I5M4hfwxmD61d0Bw/wB2s225G4S3LpW08sjYRECbRaNTt64OHj55yeP2G7i+ymjA0LrPUcrJYkb7m9mbDeUVPVUXdjHCeur294+vQpxjim3YbdbsswDPL5uR9YkupcD2RyTuQmFbmguORAwzSadcK4KQXj5IGXMYAspPacF3VEGj2cZ174LGv0VDoaJ13P6WrJ8RBwKVHINIrM8qzdb+u9F98EmksAapgxMutuiOKhFMhFDvhcNL1KzXcfVStNkbuqjtK9g9MgINOMHu6zld5gjBzuVavfUitTqYxTpHiHNQPFyEyfLIH3gtSWUdO8MKy16o5CtPI+DLRW2W0nttPI9f0t1nmmlBS4J/+8qNosYy2sc+ViN3Fwc0/rrzg4fcjz0yWfP37E7//wJ75685pV13F/fiXGpQY/+/GP+eLLn1HMn/jDN6/4+qtLhi4QauJ4EZjixN3NNTd3N6Rpx3LouV+vBVZmhD7ZkJCdUmVMMQfgzLNl+azk4jWqzrLVy2y1VSqCj65ABFyzxGa53UVeLA55/ugZ9/e3LA6PoFuwOj7h+n5NtZnckHZaN9xRPS2uajSqHjizlViqMqmQrQVnO3pvIWVaLpyeHlNsYHd7w8tf/5q+W+DbhMVCmQgTrFJkev+Wl29fkTa3vH/5DWlzi4uRvjUGY8gugLU0q6NRK3LVaGScFmudBw5gGs5bkVar1HsOlq9V4INWlApixMoJnGRIlFxoKeNz43gReHhwyGHXcXywxDnD3fqe+3FLaTJ7rwZSrrSSFOYoktNaKq2KozfFIuqfoNPzJoT1bhhYDgs2uy27ccdoGmMTaajzjuAbjoR3geXBwNQHtnFiyuKfGFMR5VnNhCA5DjlGnHMsl0vZUdYm4ookAT05Z7brrcp0oQs9dugx6Ag3ZboQWHQdnbf0nadvBpfFLljb95bkitapqTAVQek715HGxHq9puuGPdGgNUFqJF8ktz3I92maJDXaWjU2N2FtIPSOMo2MmzVHpyeyWWsGMxwRjp/QbyPlZsPt9Qaq+DhiTHgvmGyqeJEePXnCo09+TMyOcbvD9b0kXTqD6xyEQAgdkwvUOEFr9KEnl8x2s2N9v+H8/AGtVu7ubtiVDX3oeHB69gNfCt5L9a9xfSBONGkavjfjLPOHnmnOk5u85JI72uRFVLjdjHCfDxdDw9VCbwxL51gFx1EfWAWVNbpAqx5TxVk7+w1SjprDK1+CNTLqkWbAUoos4pIuN42Tit7haFbczs6pUsqKSWacRvKYda8gt3/vHFgnuAtjZZZXq7z03tMQgNiUM5sU2aVM3I0k68T81qRSkchONFhFL7AqEXvzAr/GuJ+PdsEJlVTnxT446UqKUGZrTqwOFrSSaF3P1WZH+eZbNtst57dXPH3yjH/yT3+OzRN/9+9/yTpF+pp4/PAhxnku37/l5e9+BxkWwTGEA1rNbC83XL55xc39mvV6Q0mJw9WKxWqFdYbLm2uhMlqVonr5Mxm97IB5ULK/eGsVf4eOUUHzNmLNWOMwWAks94Y6RlbNso4FGwsHZ48Ylj2//oe/4eruTkaA1pF1Xt1mzwhlVhprWYjGLkLXhCFFVVKnc4JGjhObm8y03nJ0dk5qhuvLG/7D//DfMwxLDpeHOGPx1uGC5e79aw7NE5bB8+71d5i0w9VEbYW+8yINdJ6dxig6dARhJHFwt62MKZKqGM2E9+9lkVwbve/wVkCMsxbONLA6MhqniWqt8LJKwzcIGBYVlqWxzJUz41kuFzxarbjarrle33HfRjGNGTW9FVHPzVnSQREwUn0bahZ5sbVN4XhCMu4RxMbSDeTOK/gSYorEaUcad/i+Z+E8YdGB9TLuy1m9FGIya7VQnacbeg4ODtSjkzlaHLBZr5lilJzinHFOcTsh6BK1l+40R4J1oiqMkdyazPibpLI1K4FCc1BPzYWSG8VYqg9QxbSa1jvqQuCdrcrFuc07XGss+oFaI9Mk7CITgkjUjdBvm7Q5XF+84w//6PnJl19y/vgRxjtygakY3GqHWV6zrhds7na0kmnA0PdiHAwd52fnPP/8z/DdilIEQVKLjNtyFFRQ13WcnJ5RamPcJWhabANpmrj8cMknT54QDhy77ZppGun7joPV6oe9FNBZOcYK7G3WLCsILVjLlEV5IOwfHTfN6OyZj6IH4TwnxTaZA1rBLodiWTnHYe84HnqW3hJMxTh1LOf/r0OmNa2YhSnkkFGFdRLXWKvKRotUKJKCZgQ4ZlU5Y8xezz6b6aY4MaUJq5dNTgk3DHSd0+W4qKeolZREidGcXJypNaZSiLUSd5HYDAdDT6mV3nndvWhIt1Ioa2nEVDSyE2iNkhLLo0Oef/YZDx4/4unz5xwcHYHzvHn7ll/+8ld8eP8erOPwMLBanrBcHfDo4UOenD+ANOIplN0amycOh4DXcMBpHLm4uOT4+Jhxs+bq3RvWsfL+/QWPHz9ltey5rpnx7pY8JQ4PDggxcv74EWePHvD63Vuubm+Y4oR1VjTvphOev44CrTV0vahfrJVOLOfM3oSomObaGjEmjCuyy6lOgIZY3l/fMf329xhrWS0GTg8XvHz1mvV2x5gyfddTkhjUShG/hLHg9svmj2mBzjhhH3lHME1c0M4Qp8j19Q1S61i22w2xNg6WSzEP5YTrA6uDQ1KMHK5WnD9/QX98RD90lLTl+uIdGyOoj5YyYXVI50fG9QZjjDC1uiCafAtOZhiAhOBkI8t1a4zipQUpYa1Xr49csWhvIcvFLKqeLJdCbx2dsbLHKJX7yyvipqc/WBCMKGQ8huDm1DRx/McqI8AQehaLA7yVAgeVajelsZZaRX1T0j4DOwRPsTClRCuFXlEduTZaEvJosw4/OKUOO1KoH7NRqvzcxlpMzuTaKCnS9wOmFflz90EpyuL+TznSm57eCYre7DHi6t5mHt9I7WqwNOOpZBWNyN+CY3AyPfByvjmnSi8vkleDZMYYRtrkiKlSEQNvK5WcI66T5zvFKH6LcWI37fjZz3/BJy9eEIZD8CN2OGBx8pBu9Z6r242cRc5BseQKp2cP+PzHX7I6OFVFo5w9427HYjHoRtqSY2axXHH24CE0w+Z+TU4JU0XdeHdzw/XVJScnxyz6ge1mTaQSuh+afWShliJtjnNkVJGmlXirTUO3JTO2NiOJSNZjcRQD1UPWMcs8x6wtM1jH4AxdaxyEwOlywcki0DtD8EaXYshBUaXkk7FRUBenzNhzguaketyMAvMKLsguwMpD7s1suJNRkFdHaasaGmKEJjn0gxz8rRCcx3uHU4gWWAqqFLDQucBUC/ebe4qxjCmLe9c4YkxMZcQ5T9dZiqmUWLBYgu8pDQ0qkifYul4wuqZxeLTiwZMnHB2fcXjykKef/YQvfvFzFk+eUHZb/vzP/w1//7e/5P7qglXIHC46rPP8xV/8JZ//7Odsr6559c03fPfyFb/++19zd3PP2UHHLlpOHzzj+HBJTls6VwmMtPGe9ftvePv17zhYrshThGnk9PCE4fSUl+/fcXF7xX2d2O1GmrVMMWqFkqT1tgHjPSmNKjvNeOsFlNcQ3j2WmAulNJwX/0RrlVIgNfmMa27EVtnEO97f3soBFidOVwuOj48kWzrLHqPmjKmGUhK9FyR3MVYMdbXQnMH4jsViSR0GcivkzVrAcZ0n5cY2jXu1UhlWHJyc8vDpc07PH/PNq9ccHJ8RS+Pt/XsOP33K8PgZ97sNb95fYA+PeXT2kIs3b7n++jvqYkVnGyaP9AcbakksXADj8DFCiezqAes8kZ1lItOsxVToTAAjnh3njVBHkSLHWAc4csmkUcPoqxQQ8/K8OZiQC2d9t6WfOro4klpllyOo3n8ZOoIzlLhlaSuHq15pwnLQabI0jUbfBTrnyOOWcdqQs4TaNGSk0i8GfGfJWZRHQS+20tAuzpFSptQk9AIrQ+dSKkkP4mYa47SFKklntowcdAY3dLJ4HndsYpIOPWfSBHQ9NNmlmGaUpuxpFlLLwo/yTrwARRb51jq6vscsAwUjaqdUFMOe2K631E5AlA2lpupYuBbdhxjJDC80TBfAejnTjLjp87Tl2z/9kc3dLWXa8exHP6H3sDpYMB0f8+DJU27v11y+f0vdTSTveXL+gC9+/FNOTs7JOrEwKp/3vScjoUQigHTEONEvBp588pTbuxvevnpNK1Iy7HY7Lt5/4PjoSIq1LpDmd+OHvBT6LkgSUhNr+zyeyVl686oP0LxBN14CL1pFlq6qVJE2WTNpWxOoXorQPL33HA8DZ6slB53DKnwvzXru+QGqTZU7WcdSEkUpyASj4ylRnzT1H2DMx0DzpvJT2r5LaMysFkfMUasFx8wlsuqw3v9aVkJ3pjgJfVBJh7lKzjJN5uldFwi9LJv7Tgw7wXpKUgxwQ7sTdExgcR4WnePo6JhpSvzhT1/zq9/9gf/23/w7Hj5+zKPHj1gOgfX1BZu7a1xN7NqWdDCwXK548+qlmM2WBzx8/JTT8yfc3G+4uV3zi5/9hPVYsd0hq6Hn/nbk9//we25u7zg+fcDhsODm+pZv379n2XcsesfF1QXx/pbsLHfjlutX39Aw7DZboV5iODw94ujoiKdPnzJuN3z7zdfEtCN0ktWbYlGprsUa6Za8d1gjIzHj5NItDaZcsJ2MG0rOFO0+HI2wGDDWEpNih5vkUjSMzO+NYrcbGv2aGVOhO+jJrfH44UOenRzz7o9fsbm6FOczYkyyqlLbTBEzRtztLcuzhxycnPL8R19w8Pgpj99f4Erj7dUNUx558Ow5hw9O8aUxFs/BpjKmxJPnT1itAjfvXzHd3WBrY7fbwd09rmbMYmBn4fVuLalxCj7sjKU1C1bzFNS0Nl8KMYss1em4rGn0a9cJxrvVyjZOxCokgJwiYyvIlKlqjrN2yq2I52cIhK6nAKlqTgjSHVQqzQTkCITFcoFFwmCsNSwWHYuDQRR4tTFqhsmMjbfz5VIBBPteaapUVhlzlbFY5xxh6PHWivs6iLfHGoNrGRuEBdZokAu5jUCjVxS9mfEyKSvPSLqjUgpVo1O70O3FIBijo2OYUqTUTGwT0Rm5CL0AMpv6F2gSneqsJ05Zwq9m4YqZz7+ZBVW5ubjgq9/+lvVmy8Nnz4QVZy2npw94+OiWy/dvyTnz4PiYn3/5JYu+Fy9XkfW/qeLvanPMoREwIMgIjwmG5ZLzR4+otfLhzTvG3Yg1hovLK84fnXN8fITznu20I21+YHR2USlhUgVBNewTwMROoE5GXdZSxLZtmtFFat37GvauzNagqEZZXZjOyiZttxsxLdN1bm+Ia9JTIeEk4gI2Vma1pab9HLvOgfJVNNXOCr4aENdmq2oYEfT1zHQySmeMux25FkIIhC4Q1BTXShGjVACaKJac92AF7b3oBxmB9QOlim7eek/fL+i8xdaIKUX+nSrmotZEdz0v3aGxXA4cH604OT3h69dv+XB7h+mX7LZbPlxe8Y9/+ApnoUxbbKv0tuLzhmUf6Pqe3/zDHzl/8HecPzjn5OSEn37xM774+c/prefFixcsjk548+GS3/39rxl3G/owMPgDVotT7jYNazusD2QK682a3VjYrCv0Ad93nJ+d8u7de1opLEIn1YizPH/xjLPTU26uDMvVAhclIzdlMbRVKq6pOo3ZSS6ZEE6JsEaNhLN6raoU09DwuluZSiY3UWpQLaVmiQe1Rv0KcoCZ1hTZbJmMxLhebde0JG0+Qw/WUnKiGEfO8rzc3t2TmqEaz+dfOB6en7O5v+PBp5/z6U9/Qru7Z9ztmGqhHg5MtrFebzH9wKMXn3H4+BGP/8lP2V2+Z1czRwcn7Db3DEeZ/uiEzbjDbzesS2GdM3naEYvwgBpZ0/jk5/+PcDJNApiapgK2UnDGsvCezoiEe04+q1ZMbSlHjPrMmjGEIHTTEITz1fkO18tsXC5g2e30LmCRAmeWfoauYzV0mFpI1jBNI9O4o5lG6DtWq0Mqle0YZeTi2GPhrQ/7sySXrDt/qzRhmYwEp7s3zXqQEDnpgJbDgs4Y1rstuWTpDLD4Xrg+oHGlKQsyIjj80O1FLEUvn7zbkas4obGiWsutkaYkF7A1+2mEdF+SiNgAVc/sUR85F6pL2KLpdzpWtk2k9zkV3r99xy4Lmv/09ER2pwZOT455/OQxabflL37xCx4/eYhrjfXmFtP1QoK27HlQQh2WfWTRKFNjxJluneXJkyccLg/57ptvGLc77u83vH37ntXhAYvFku1uqwbEH/BSGEshY6jWSUxcFZWMdXPrJId8c9LypCYHaLBe5KBFeftGqnI768arSAXnmT61kVIk5kk040VGPK0WbG04ZJnZKpp3YEAzEIyX8c/3A0Tmh0K+MPbSVKtLSVOrJls1laxVhuDJVT50qzK4VgslRZHj6qgJY+lCLxC/IpdPCAFfNFSdhnMBaw0lR6kgklQ6pXyPLIm8EKj6o+96PvnkE55/9inrmHlzeYV1RQF8cz5xppVEsDDaxsJZ0lRh3NLvMuux8u7DDcvFkj989Q2f/+73PH74iAenpxwfDixWj/jdr/7fvH35J548fsH15RUfLtdMzZBiJcaMXRhSTdze3XGzixRrOH/6mOeffM60G7kar1gdrDg7PcM4z8nRKUdHx1xcXNA0Z9rURlJBgWvyYLf9pd3EIe6cmgjlcvbq/2iI4sY27fCcoxknCi0jnoachJXUOYcxHq9y51nXPtEo3vH4+XP+t//7/wPf/eEP/If/7r/DjyMrddZGDA2FvGFJYyTmW3I2fHjzjqPTU9GCX75nO0UuL685PjrFDws637FNmd//8WvqXeSTZ5/x6Mdf0J+c8+7igskOeOc5f/ZQ0AY5Me12HFy8Z5cLt+sNcTexronUBEuBE3JnM99jR6Gdb1FZZU64Vjk6OGTlAnWMtClSnd2D66IYaNAUa9AOW34LCzZIUWeaqNiMFa2esfvvxytOAiy+U5WZlcjK2jJTLOpgr9RhYLPdsdmNxJzxodvLuGuWg9uqryelJAesnlPNWkxpRDOpFFRjZ5vgcnrfYygMPlCceJ2wgpgophHTRIlJOgUKsWkcqhUwJk0gk6UU7SodtcoF0owVR7UR+Wnwlr7rFIXiJfOlNowX1PkYJ5leGDmzco7IztWL2kgLe9tkrDpux70y0hnp6JaLBZ999ikPT4/54rNPGbdrxs0aZ5rkWDgB/5km5Fdq1WyWhjZfNESlNU6J48NDTk7PiDHz5tUrNts1X3/zHUcnJzx4eEo/LBjH3Q97KaRaKEb2Cc3WfbWfm+QkVIGwMGcrWGMgKzveGKhO1SYyJnFmnu97zGxsa7MgRZzHKY6kWCR43Uk1boxVFY5QUUvRSE9r987W1mS/MZtzihp1nD7sQqNUJ7UxMv6qYoix1kgbp0tRcU8KtsHqqKkqjVO++dmQ02S8hKHqoW11QZjjtKdaigkpQZ3jDSveB3nZ1NRjjWG93vDy1St2O7GmT3GiWa+hLOqsNla+E0TrXOYYSxqljtzVLX245zIEbm/v+J/+1V8RQuDbf/cNn332Cf/kz37KdH/P2zdvuL64pj8848GTZzx4cEJMG0rdEUKHc4E4bYjIIjpXwziOgjHZjuz6HY8/ec7lxRW3d3fEaaKkTJwmeYh1OWp19FdmM5kun/fPWEmyFHTI99dksi2tpHCyttO419unWvffQVZpL4p1rzlTraE5j+kGlkfH/OTP/hwa/O2//h+JtTE4Rx86HIbtbodpTtK1rPhQ1vcbfv13f0foO45PT3lw/oDDo2Mu373m5R+/Zjg85VP3cx7/+DMePnjIb1/+lsm+xj19wsOTI1y3wrgVq+OeJ589ppZI2m5Iuw2Vxt39Hbf3t2x3G8oo3auwFQTPLDkEHwubkjM1J1rO+AbDYsHxYkHfLHGKslidZc0zFlVVRd5IBev2ec11b/BLOTFprrbBEqzIuHEyCbBWXLNTyRgnaYW+CxxphyEXSOXq6ortmGQBngulTvJ9OK88LOl6vPeQmwIBi3Y9TaTMNPUXKR4lyujZe1loz519qYLrGKeduHq146xqYGytYZMWFT6I8S0INHHumuYnr7Umu0flnxnvcTZgjfve2FqUc6kmsiaieR+orTKOIyY0fO2xTsZLtckkQogFUuhZxJvT9z1TcJydnfDZZ5+yXA7UMrG+SdhZKVWlI2iaAW+swdtZtCPLzNYaOSaqMazXa2KXOD8/pwsdL19+x93dDe8/XHB2fsZqebgvln+wS2HUli+pjh7lC82soKKGmr08cX6gdbTk+058C2rFtzRJW6JJWpZ2GjlnkhOJpj7jFGewzRCTcNYtdg+ka7XhvASGFL0AvBptYhYlTzNqWmty49ZaMBIEofNaqyEk8lrkkgHBZtCqKJSsXExtvqiN0Y6paLqYXDg5yfy7KkivVZm/GmtlqWbE7WmQcVUrYjxJKdJZR+cDrTWmaeLym294/f5yfnRF4aQXj6AC5swJS25CavXOElsjTZnOGjbbNcerFb/4+TOM9Wx3E2/fvOP26j0/+9Hn/O/+N/9r3r19z5t3V1Q38O56I/GdHi4u1zjvWR4c4u+27HZb1ncbSm70fU+vErrQ9zgMIXR8+903TOOGOI6Mu5HWsuA+gqiQpilKYNKMBtEEKmdU6VIzxkh2RclZnhOxpJCa4W67lZCZhgoW5PMwmgdt9kl3TZ9FR8Piu4Gbi2vev37HFBMmFzY5k6YohYxx+gzIwRkUz3F9dcXJ6SnTZsvrb77m2bNnECXlbblasAoDdUw8Pjvj9L/+X7I4f8Sb62v+8R/+wCfn57huwauLC46enrFadpATu5srasmcHa54enrKzf012xyZSiKhz6GVCNhK2yt1WinkGEnjROc8RwsZqZgYCeghZcSnIdXwx72ZNeIGdlZ2gSkluRQo7GKUkZsxhDDQnOz/pEoX/8G421BTolstqPrrGGv20bAN2E6R7SSKKJDixGEk88A5SlFCq5Oxa2kNmzQOs4h6qOaMr5YQoFkJ/JlywqaE6wLGibihFBlhJ4XyhSACh1bS3kQ2Jy3O0E5rLSF0ezNdcF4mHc3IWEaLwuADzjpKLkxxJPhOsO5ZjLAVo1nJnt00sd1uwY34rqfrlyyXK1EPloIxnqr47gMW0nnEHb7rSFPi+uaKwT+klsJiMXB3f08qBpcihkrXB0LwdGogTFXOSO/koqvIZVpVBRlD4vDokAfn5+SSubi45O72nsOjA7qw+IEvhZzFrdxUdqcLXsF5Ga3mxBhT9eYvVZDXBhkRYMXP4KvkJ9eSsbo4MoqzTqkwETFG05ucJ2YB5fkmYLxaEQ1312sgTZClcE7COgpBEQzK1ykCt/PeK/5aWknvVf+fysdOI0uOw2y0avMICvY+BusE6BbV/DKz0Y2TRWdVY55RFpDR/UVzDuMcOWZaK/iuwxgJMm9GHZ81k0qWhKoQ6PuO1KSlzzgsjSlOYAx9UHmrV629KST1QtgmgeLWBfywBBt4/fY9280W0kRc37K5uOLLn37G82dPODpwFBvwrzKuP+G7147r9++ZxolNFlx6PwyEvif4wKJf8PDsjP/sL/8zSq1c399RDByvlry7v8WqJBHElGW1M2q54ZqDZnDeYzpHqVk/J6lu5UIoeolMhCCL/pwLDlGZWeSSFw+JE3qtdo/Ny3/OSWbuwQXRe+cZzCcO0pwjtSacD3LZOsFqF5U5G7m6GTcbhi7w6us/sfCOZ48eYU9OOP/iZ7RqePXb33JfMkc/+YLFUeDTRz/m4vUHOmv5y3/2V3z3x3/k5dvXPHl4StcK47TBUTgcAg8OFpytllysb7krM8HW09T/N2eA15TBWHof6BeW4Jw4fGvBG3WD5yxxkyGgqaiiTEJzC+b9jDGUKp6dQgNjcV58NzlFQYV0PZ3uXMYoiPeg5GJDZcyJOQQG5N+tzYDzQhRuRdlNVvhaxlC8HtB6JliVdnov3XYcR1JKjHHCZ3lXvc7UKZU27ghdRyyVVGSnVIoWkq0yDJ10SLXJ5+CEwZaToO9xTkCLurestal0ucn+0Hu5REF2ExbilBl3UfD+DVqVbI6K+m2aUJdjiqSUSBr723UDwfdgLN554jjS2hGl5H3ln0vh+uaW4CzHiwXWOvpuoEYpLOM0UmuG1quwR7A+ErMqcmLrRO2VNbs+xsRiseDg8IDd7pj7+1s26w2nJ6eEHzqOM5WKV3UHGJwL4shLGiAvjYIsTkuiAZ3VYG2QVl8XqbY2XK14Iw+HdxbnBUth9aUsSWz+At8q4iI2cqhi5c9DLoRONMo5SlardWLhRw/yJCeIdChRMBvee3lo5/kf8r+31vaQLxnBiJ46Vwn52QecIPPOnIu+DPLPG5ERA20/xrI6v7TG0qzA+GSMpJeMlzBva7zMIFNiu9sxLHpscHgvB4C3DqN4DF2jMNNmbZPxldELs+zxGdKuT6nwj3/8Bmtg8B29s9jiuLy651/9q3/Fz37ynM9+9FzIjOM1f/zTN2xHWHYdu809JWUen5+RkcutCx2L0PHs/IzzgwXNwIe3L4k1s3KG0EQx1Gkljy7SjRVfRmtaJLSPKAr5vnRkoqD9XLKmz1VKTAxDL8WI/OP7cWMzH7Ogc62YLKNC7+RCKA3ylPQCCfIc68E/s5dSE7UP3u1RK1ZnuXEcub24pOXM677ni5/9jAcvnlJC493v/sD27o6jJ+d0B47WV6rPHB4Erl++wZwc8+zTJ3w3XnP97g3bmyvi7RUHnYeSWVrDUd8x+ECohck5ml70pRZKzYK4bhJKtPABV8WkRY5QHabJzq3WAkWeKfE3iOfGVO16dadXmzjMZ7d00+7fGEn7ki7F0QeP7wI+GHKSyNOSJMyozAo7K/Lqqsvb2ubdjBSA5ntFUm1NHOxVioyistWq50I1MjY2yJgllSrAOB1XVwpjE1SMdZKXmEqUmFra/vf1weP3gEG9BGYBjOHjyFdZTF0QXwPsp5HSzTjLarVizmcx+u7SIE4TU4pMMYkZUJ/JHCdyznSdLvybBk8VkU9b1yTbBY9xljFGbu/uWfgOHzrYTXIONcHF5FaJ8jrgQ2AYnO500P//48+E7mmnnewOTk9PWC4HmarkvM+D+cEuhTFO9CodnJUhrSrMKktwtGCSgSLMoVQKWRUUzgVBSteCAzpnWHSi1qFJUE7TBbZ1UqHHKoe45LA6QEBgzluaVRVUSjrukdu+czJ6mA8Xi9OupuyTzmoTVpOpMr9nxmMjRjeRgYlqqswHvDXqzaiiHW8qowxeRkClUKgSsYdiMIwsyQzs8drCBfK0udJwhlbtPtmuFllkbcctB90Bi2FgmoQvI2hgg/PiAq9tHr3J/HcO+Um57B/GhiFXw/XdFmPgwcnAwdEp090dN5srxvWa8O1rVscHHJ2dgYE//PH35Bx48vhTwuNTjpqlOzykHwaePHrE7dUlr77+Fu6uuH35J3728y/59F/8NX/3m1+zmQLTXc+77S25TjpPluU8ptF5yzglcisydlKswTzdQy+PZkQXnpOQIOfEATnI51EfCDROO4lamaZEtYXBe4JVlHkupBhZrzeM446YM6ZK15FaxVTxCbjgRfJiLDbPXCR5VjJwf3PDWwPPXjzHnR6JW3W858A1TntPSjuWoeFXgbS2XNxc8Ob9dzz/8ef86EefkS4/8D5u+e7VLbdxxJlG3G7pSmGwBt8MJWWR5DYxTLYqQU+LLuB7L6ydUkkqVkBVitZpkluTIsE1Q8vz+FMx99bQmpFuQBfZqILLaFHhdNlftWuYs52dEw5YVdR8qWKeK1HUSiEEbAjkKVJKJXhH10nOsNXvtCRJIstFLoVqJGimViEhe+8p+s+mlIg5y55tlqJb2UHUxn55rCZ/qZ4rmjNg1S1dP4Z+6eVfG5rf3ct0WF5X8dN4KU7ndeH8Dvd9R0rixE4pMa53Il9NkZSz0BH0WS5N/uypZKzvMNaRcuT27pph2XN8ciQZ8TlifEedIvfrHQf9yKrvEdmNXpK6Z2nIxR1KxlmLDwHvvSYVZvFv2Zn51lGNxIl2wXO4WnG4WjH0HavhB85ozrXiW8NpRyAu4qZco7I/oOYKTH8yGcE0o7N3PSxpVB3PWGdpuX2U4aLRlkjFa3WW72zA6K9TlERYquYk+CAtqNUFbJMHItWiX1TFN09YBIa+E3XUOAnm2iDKCa1YahVlTLNzUpzZz65rkcpyXj6VkmUkMS85tSvKpephLSlJ8tAVKFlCfpxXCmjBZMitMOkc2BnJqphiZEXl+PgQ7x3XN3fsdjupvI2waKoRtIA1EnNYmyHbStOLBiwV6RTc0OO8xw1Lnn76I3b3t/zjb65Z7wr2asPp2zveXu2YcgPjSTkypjXHJ2d0eK5uLvjkwY/5r/9nf8Wrb77hpGVanOjiHZff/ANPXnzC00PHb96+pasjnzw8ZkoLbtdrYikMqwHjA/fbHTFKtTjuEsNqKc9TqfsX1LbK4eEhrS64+PCBUjMhSFSnBJ8oYbM1jbdsmnEhB6I3Eq3adZ3QuZxEPW62G7bjSK4Fa6QarLnoaDFAsHSLgcF5ym4ibiIpTiIgqLK8Xvs1v//Nb5n6wNmL55yFwNIb4rv33F69p96vOfnsR6SLG7r7G3aXH3h98Y7zY6naHi477jvL5fWNHHxTpI07bEwSKtQaUQ+8UoRGar0XzErXYUslxwlKJVhRx5UmHZWv6nepjday7lYQR55MVdRl3u1HZHOHX7VwkoxtccZOY8WVDOpr2EduGhkTmWYxtkGzxCoKnhk9Evqe5WKQcCVVyhQl5n6/O6RKHoYj4HsBF0reueAmnO4Kay7ybGuhU7O8R94FrBF2UG+dhurI+2F0hua0WJ1HwVa5aPMZNWeb1JoFqV+y/IjOMQwDOVXiFIWDlJJEmFIVe2KpRoQzxoqsuaiMtzYpSPJmTXwTmdLEo/SYg+MjKX6cJ3QLWorsxkjnAs53MG2Zc6/lbM16acNut2NoEJYB7wy1zAl84kx3zhBUNeWsZdELxC9NE6vjwx/2UpAwmwaaXyp9qC6dmfcI4r6UFYNmOasSQOIu5xtY2fCmEIw4Eb3eCrlkdUrLrHNeJM6pWiATmkwlV8FQW11kVdAX3u7n/DEJvtcYQ+/E5FKyZD4IakGYQ8yKmGY+Xko0UpFUuJR1ptv3cpmpduH7SVi1yfK5NOlBWxMpoEVs7Ab5hVsRjnppTRKw9POVJbm0tOvthnqRefzoEQ/PH9CFwJvXr0X/XWeFleBFWqukNNGUU2/1s5IXwCvkzxB8JxGAfcfR8JDkPLviCDvDemdhqrx8+46L6zusM2ynO8JocW7BwlXWV+94990fePHwnOWXP+LDy5fKDbrnT7/+JWePHvDnP3lBP1is9zx78RnXd2v+w69/y/1uIiwWYCHmiV1MOCy5RNHo56JUTmmDu64jBM/d/R3r+1GWxk2IllgrBX1roglHO4m50zAz4FBPQ1WaFG3H0WKggAbNFGpzEOHg4IBmjM7RC8MwqAS07Be9b16+YqyVJ28veNIvsMuFPJO7NV//4x9h+Bu26x1L63h2doaJiXfffEfME7VO3Fy9Zbe+pZVCrI2SKr420Eo0zSMka6X71dm6aVBiJo4Rr/6bWrOmG8pooGh2iSRo67LdyMFsvQgwJNNc1E5GqY/OSEKbN2YfvWuUFtB0dl1VHhm6gHEeF6ywnHJjt5sY48h+v63vxvx6CJBSHO61CC8MXUS3Zmg5U+czA8sQBpaLBcEH1us147hTnquOY3FqonV6KYjxrzPS9bdS1JBo92Mcp76i2ftSS1MgpvCsRBko+R0ScmSIcRJSqrUYDzUbvLXiI3Ca46HRo7kKEqUYL6NPZDFsWyWtR8Y0sh63PH76mJOzU5wPuMGIYTYV1puRzsuZKaNVhYk2FbaUwuSEfxSCZxgGloNMK0LowHh8JwooYSaJWm3cbLnZrakp8uMf8lIQsuTHnFao2krKQjioI7Pub2IN8xZims71pAI3bZ5rig09NPENpBhlFu09zqtSQtlKtbV56oex4mzMTaoGpzLM3CqhQghOFzwdKW8kTMcalUomSs3CNtGdgUXkoDKe041+E69BUsZMLDJz9hhVx0BrYpgQjIbE5BUkBKVpaTaD/koTySpop6EuaVEiCbLX1KptMTgk2e31m/fkVOm7joPVks1mS8oJU7O8+LMss8ln441kz9aG0DORw3ZKEes9V7c3/PFPX2NN4/Z+TfOGXY3cjxtWByu24wZaw9mOnMWg4+vEce8Zby74H/8f/5Jnjx/jGqxvbwUxTWEskeu7C1Ynp+TtltIa6WzD/+Sf/DknJyf8D3/zb3l/ec3d/ZpWKkPoiEWIsVlBa3MWRW2VDxcXLBaDyBu1+u1DkEvWikLIIXNeoaGC04uwlEzKVrg5vqPof+/7jqGXhV7JFXQu3mjEGKkp8e0339Bby2Ho8EjVCobFYmAIQfANOcPNNcnA5viUtlvh+o7Ndsvd+kaYWVSq8by/ueHZ02ccd56vXv6R9eYGQ6aVSEqZbaoUP7BcHjLEik13Mo+3RrI4uk5HGlZGWbngmqGzgd47qrVsY1RzpVSmDSOXpvOSW2DlgpyXnEV3ZNZaOmdl7Fmq6OINOG+l83YQs4TeG5VYyrvkBMGgRV+sRVLRmvh+JFNZkNZYaE1GzCklCTkqkk8yG0ZNtZSUYZpwToCTq8WCs+NDEVvYytoVIpK7DcJW+7jfVPWikUJM50nkVrDN0lkvikAj724zjWIKucqYZTPtlIIqXLOhG3TvWKlZkOalFjG1ecMySBFgdP9JtoLxaLK3SGMkjJGw6PZTC0wlbndsp4kpJaaYeHR+TvAdrUKMO1Lc0Dlwds4pkc4OGnlKQKRfNFoW8cHhcsFqsVSTbY91gQJstzuury/ZbNaMu514eVrj6vKCf/aDXgrNEFzAd0EylXNUh5yBVjV8vdFK1Lk6clhWwElWQDVKW6wV1wQtUKujRKnCmwLS/PzyaxUhAL5GbkUHqNIZeCdwjSkVLFkXiEYUJfOeoJl9KE5scT8vrGoGqa3RrCyQcq4fXdMIXlsO7RlI5ihVZ7OzT6LKzM84R6pVKnmrODcrKqbW2kcVk/7tcboj0MVwk3YYa0lNFvHByYjs4uqK0+MjZaLLzHJKUf682k1Z2/YZD63Kkoqm7KZuoJTEdtxSauPbl99y0HUcHa8Y1xsoI2O+ZkHD20jNEyZ0xLFijjpODlecHS6JY+L68pJX333H+YNzdilxcX2N7wLbuIPNhvrukpwa3TAQ3EuM8dxud4ybLZv7DTmJ9DGXCsaJK7TJ8hxkRZ9KAmupu50sGr3skkptSDyA/GzWSGVptX0P1u45SqiMtaSoaXtVfS7iNDXF0LL8Wi54MV2WgreWIXg672g50fWB87MHPDg55erDB0xqLIcDeld4sHJ0hz1xuaJ2Axws8D5Rb3cc9x1nh6eUEqjecX9xxbi5Ie02WCuBTAXLmCs7KltXBc9hA8FZQu/xvcD7JCbSkGPEl8bCd7oER5RgSPeUTUWaXv08rQgSfHDaKanUGnkWHTJms6VhinTKIUiWcVUqby0FCT2WcU5t8k7WUkkl05DsiG3cyWVWJT50miYWweOdkeq5ifjBWUc1ltD32NALI6wJM8lhCNZgamUIht5VbJs4HAyDX3IfI8U4pimxS0nMfc5jdb5urHTfrRnpSGvBFkPnevrgmVJkTBL3m1pmmybZR7ZGj6HvRSUVQo+xht12I8+MdepZEkBm55zmsRvGMbGbImOpFCy5GAqNKSZsEKezaRWxhxhyytxc3TCNEzVlnj56xHIYqDkTx63kYqSNkFO9pxTBmKDvdo2J4ibStCPHEbsYoGTWdyO73cRmHLm/v2c7TqK27D2rYaWiix9YfTT0/b7a1127UlBnPW5SGaYcxlWVRVbRA7Sm0LemFV3dxwuaUvBu3h3ILM8ARtEYTeeOxqr2eN81wMwwqlXoLNYYAZ0hdvUQAkYj62aZqvdepXJig885q1Su7StHUUSATliZOxR072B14UMxH8NldK5oVfUxzy7n/2z1syq10kz5OGOtEgReLfuRloyV1TCzkxjPRd/Rd4HVaklXesZJfBgxF1zwPHz0iC+//Dm1Vv7h9//Ih4tLYky0ZvBDJzx/IMaRZBs//9nnHC0+p6VbXE1cX14xOMvJaiFoijSxW6/hZMXxyRkHq0P+4i//M/74xz/iQscQIxfbLR9urtiOW1LJDN1AjZVFbvirW84ejhysDlgtVywXI8lO3O9GplzJGFGl7QPpBa1eyiwJRcw5teL0JQlOnwttqZ01Is2k7cdG8yVRaiGmjF+u2Ew7utWSs6dPYBhI026/S2oCpcF2gaHrSNPE2JoAxJzl0ZNH/NU//+d89Tf/jg9v3nF2dIy3mYlErpHjk0PsYsXjz19QN9f8/r//b2Hcsb694eDoXOCGBwuePHrAy9c7bm9vaEiA0rYZ7mPlzlimnLGaxWwMtCIy41IqY5lwscjYxCoUrhb6odNRkbiUvXdS9RvNUzeCGmmaG96aAf01jJkLJnlvZhxMU817rVrpm6Y8Ia9eCIM0Wk0STkrdm7WMikOaExUSzcqYroqcE6xWwLORbB4Kzz6CgGuyN9xsd8i0SyN6fdi/n8awV1BZMyMx9KzQ3UfMGdca292OpVlSqvznEAKFsje2dsHL56g4HRQRIvtAQ0wTu92W2greO3I2dNbjQyd5FkbOuKSy3EZjN+5IVbLnvTdy6cofkhgj4zQJIiQXnj97Qj8MUEX+OixXHCyXlBQpMcmkxUFJSdzjzrDZrHn37i03V9fqp8gCmWyN0PUcn5ywWi0JXaDmzGaz5ub+5oe9FOb9gFEVjbdOVAgKf5KXWOZ3c1spITdGg1ZkBqwjXuZNTCtaJThVKiAtk9Gto5Ah5/8bzVNWqaeZAXUfk49KLbIUVA17r/M18739hsDugnQdukuY/zc9b5iDeXR1sJcuxiimHx8aDqfLuqYjNWmJS5FWmQbGSeiQd072ErA/vGb+/5xFTRG/xFzplVZFy29gN26JcWIx9MSUVLIpexPrJZ50s9lydXXF4eERT59+wtmDh9zdr/E+cP7oMa0Z3n94T4oTNx/ec3V1yZMvPuHFpz/leBF49c13/Hr7D0z3UT5ja2g5cnNzyzfWsVzd8Ys//wtOPnnO3/3m18SUGa3lcjfKTqBUasschIGcC/f3a26ub/jxo8f86PMfEavBbneYbseHqxtyTlK3fm/kqE+MKLxqgybZCJLzq0KF1v6jz3D+kmotdMbQhU6VNg3bBWIt3O22vL2+4uT8AcdPn3JNo0w7sFJMTCUT+o4pZZZeQndqzhjvePnyJeb/9f/kwfERn332CcvFgsUy8M2b7ygUnvz4UzrXcf36JW17w5OzE95/e8dufce4GSnThPcSEOW9uIRTlcMkx8pYYVsLUy5kA63ZvcyT2YQaI32VKjSmKst0Y+RZmOfsmgvS9N2r2sXKhLHt93ny2X3MvLBGiZx6GcjIU76Lhih7Ui6UNElWc+iE1FqLAvoU61IrwVkKcj4UFVmUKtkEcUZjA9VEmSBoah9VclaKkwtrypm8rbKotiJBLU5EJM4F+l6YY/LOFmqRP6uY1+re3S2/R2a324mPqAm076OyqKfvAovlgAXiFLm738jhGrq9iCTVIuM30wT0WQq5SVb0Ps3RyplWW6YkNDyqkJIs6q36lOTDNaw3G/749Z+Yxh2ff/qcvu+Jk4hJLi6v2dzfsVwMrIYFPgS6VQdUUk7c3d/LpKbJDs65IB1T6KR7G0dxOafIzeUFFxcfqLXyf/whL4Wm7G+5HJqy6R2UTLF1LyeUqn0+JOWgnM9Waxomi0VctPXmowzR6Ba9aCi4AXWLyMutygn5vYVauFcKzZ3D/OXo3/vOpskM2ijjyDtPSYVY4vfUCG0/z1azAbOOHp2/plo1q1oujVKVIilHPbOcYdY1l1JxswlPK7fZ1+CMkYUdEm1I+7ggnS++Oa7TIEoF5xzed2S9PGrJTFOkWyyIJbF+s+Hd23cMi6XOGD39sODk7JRnz5/x05/+jL/927/lq6++Yr3s+ebbb0j3H7h7+oA/+9FnvHj8jPXlhnGdsP0Cuo7lwQHPn3/K5fUtf/j2FXex8tlPfsLJJ8/BGM5y5no38frVdwyhZ3V4xNJ3dCFQreHVy9dsp4Tpe0qpdF3Pg2HFekqM67Uc9vLlqfTQiZs0ifzQeafL8wo177MZgla1lvIxLrVWjJewFSN9AK4LbEtit17zb3/1S3760y/5i//ir/GtUFNiN20F8WAtoQvEzQY2G8rNNXevXtF2G0yF26sruloI3lHLCP6AKUfqds3Vq+/IsfD6j18xXn/gfNXTtcbtZsOUxN3tu8Z6ey+HuLMq17bEBtlIvrTQeqTq9Mai+F4Zuxih9AZr6UPAInJd65VFNndPumCW53Av55JOdS8WMfsnFn3e5uc7q549eEE1GCdRmRVxUk8x0VkJoRHuZdUKWRVFVllHxjAJC51aEjEK6htjhRlU5MxISZah1hhw6mkqlZKTdj5eMw6cCDiMJQRHUIZZSnIJCFom6fxccqyls5G/ZSwUMAbW63umccR3gWG1YrkYWC4Gdrst99stOas8102ELijHTDMicpNTU5VGU8qyaMZKPABNJwFQcyW3RAgO34KYEHOSEVQnnclms+HV69c403j88FziQKcdl9e3vH/zhoPVkqePH/H86RNC8OLmt/KzNColA8Zxv96wvrqmYURBVQu77VYx41tqLZydnf0nnfX/6TuF2vCdzi6LLpkNemia7/+TWvG1fVtqWsNbRzUqe2sC0gtWLpm502ha+dYiblbvvKhqShH5WRCJmmminmilYLRimmVv1srBIg6/rERSZSN5K2oNba+bPtRFXZ5yOUilog2CjpwAI2hsjOIYWpNsVKSSwkAVW60+gH7ffewlcfriNIMs2NBlnzUaEypjN9FmO4zJpBRx1tAvFsKFR1pvUd/K5RF3O4k5bCgvxxFTFvmg83y4uuKb717x9OlTul5cqRlYT5Fv39wz3l6xu7zh82cvODs557/85895+MknrGMiU3nyyQtSqfxf/5v/ht9/+5KXt3cMR4f40OGM5fzFp2Tj2K03dAdHrPqOzgeev3jBsFzw5v0F0YpL9vL6moggso3ijqHuPxuvPKKMyE3R0ZDF0OthMGdzz3sbaxVJHhQYVqv+7yIjbdWwSRt++ctf8uHmlsPDQw4PD1gteowz+GHJsDqgGzrC6pAHw8A/+7M/4/oPf+Bf/p//T+S7O1KJpM5xcHLIuLnlfn2N956jwwO2b17z/u17fCnY7ZYPlx94eHYky+aauF8nUhL1ya5kSeTDkb2jhEDDk2siqqSzNTksrT7T0PDoz9yayFRbJSN7KOskcSslSfs1xuhodDYxig/AmKZmuLIvwuy+Yy1gKp2XpL+5GGpWLrDWBGMSq87LfVByAMQyA/Zk92esoRjYxUSKEdPa/p1zXjAXRuWy8r43rDfa/SqJoFRshVgShUZfmoxr9XLrnBfRRy0kVYaVHGlVdou+Eyf/sFjgnLq8W2G7LXv+Ut8FgpN+aLPdElNmSoVcZMQcYyKryKU2WdxXJGbXe93z1Cb54E4kuaUVlV+JkrJVQ60yUXBeDHdzMTtfdrvtlq+//oZpu+XJk8csFwPD8gCc5937Czb3G4bQ8cnTx5yentH3HaVkrq4vub5ZsxuzZLevN8Scac3qrqRiTWPoA6eHJyyXyx/2UpgNayj8rjaR980NwdyKzgaY+cCaswqs3qDoctVrtzW7Uu2szFEjmvwa8mI35a90IcjOIEVmWqP384ErFb4x7HcVOWX8IPyWUqStm9VSMteUVjuX+QU0+kAWnceKCe/jXyrtU8etYTbGmL2aqGnFqwQwvUSq/h7zDNTv557zy7nfzeiclFbonASC1FLk4TOGHDN957FNWmGncLDOWWqUxV8cBUTmul4dpJlUdnzz7bd0fSBVWI9bTK7EacKlxGG3xbR3dO6G0wePMN2K6+2asBhI5RWHZ2f89X/xX7L51/+ar15+R3r7jtAPGGM4PztldXzKOGVwgWocOMfp6Sk/+uLHPHx8xe/+8Afe1xvG3Y7r7ciYBVvunFHKZNuPLaqadGSHIy5VZwydE6NeK7MT+eMeSBRTRrsEGUsaAy1ngu+xqfLh3Xsubu/plktWRysWi0HzvYNSM8X0dtwFNpdXnOQMxtM5z8I2umY46gdsv9TLKDBOiXR/QdissbUSciJPOy4+jJLaZizVGmrLVKRSLtYylSbB935gqo0xF3KF6qRDdFYOyVqzOGyZBReVEqWo8rpbQFV6c4CNd3Jg1yYsnxnzIge9aN+tsULinEewDSxeqKHzWEkJBkYVPtY5MVOpbFh09O17I09VwhkpfGIpe/ED1svPY3XEqru52Xczy0HnECDr5d1MOStS3GL1ffHeCxbdmv3otdWiaXDq6VgsGQ4PWSyWe8/BdruRi9OKIc1rFzpNkwg2GnT9AFGQ9sZaUi4qb9ZOqxVyTZQkucyVWSiioMd5tG7UF4huYGvVpb1TA57uO5swrcbtFmcMi2HByckpp6eOcTvy7XZivd7y9v0FrVaurq+xtrHbbdmNIyk1xih4+lyykB4QiN4w9ATvWK6WrA6P9vLgH+xSSLVSdZbdrMzLUimqrvn+pWD3l4Fqb3S3IJwWU4u0wrVg1UnprDDLa9PDvTVSmuQCsUaNGKJ4wEhF2JzM7q2dZ8vmo2dAR0JBA+XnxeU+9ckKCsM7D8bu8dYzT13aP0UnWEVu694BI1WRtbMste1HVc3KSGk2ds9GPXTe6vugM1CRBxaVkzb93Np8uVVpRUUxoxfyvICuDVc0YLKJEmpGOQTv5aBpFYOTS8d30hE18ZFM20Qssjp3JuDCQHGGTWpwu4W85XqbeHVxxSaNdIueT158Sri45OmLFzx8+JCvX7+mtMrd7Z28KFlkvTfre1qK1NWCT5895eTBGXf39xwcrDg8WEEtLPoF6yjGt2aFPWOrLkqNuJtTivResB/7TkEFBt5KxnFrTZZwRRzyphZ8C4ROXnZvDM7K2DHVgskNUwrTNFGcpWxhzJGhG+g6uaCmFBm9Y1w3/uZXf8u5Mdgp4avBFIjrLdNmy/nqlMODQ0JYcH9xxfXdNUPfs17fkXNi6DtSK6QpEmnEWrTqNmzjyK5AtJ5kLdtc2ZTGlLOMj5pVvMU8o9bD3JqZfkij7GmwWRlR3s8HvFwQUWNS5d2olJJ04SzB92D0ObZ74J7RZzZnKWDmgka+Gysh9w2qytJFICEy6qZjI2NloeqsE0eu7pHnggt9j6qOqur8Dpj5IpIdgtOdpezpZMeW80d4ZJ5Ggp+Likyrcgh67/DeE7oOazSMaRyZppEYIwCr5VJYT1kKPsnhMKRUlFhsdSwFOUcZ8xrd8SCk0qJG29nz0JT4W3T3ZfTcsN8raoQ5pcgM6zDek1MWPHYu3N3e8dq9IYSOzz/7jOfPP+Xu6oZ3b17z7s07Lt+/k+4iCNbDO48xgTSffepvmdElxlqG5ZKDo2OG5ULozD/kpSCHlGhxjRVFQU7ScjY9+OeZusxeCg6jyN6mB4cYh5yBzlo6a+mVUSPrJ8mr3aOnMftqUgrvrAtlJbCqGca7TqtM+XBqExSCVb30GOcYQEFkWN0VyA5bZrezZFR+DKtmNUT7q7sDY+a4TpEJOmb8tS7SMf/xqEirGasvoGDGRVnR2vc+XMUIWL3oGk0xG5VaP36mTtob+T31kpsPzU+fPePhoyd8uL7mD9+9kQrVdzKHdZ5Ui4D2dNlnndcgJ091jl2BWjPBBtJ2JN3dM6Yd/UKc0MenZ7z+m1dcb7b86NlzHj9/zm/+4Xe8ev2azf0d0zQxjjtsTQTTePP+HX/4+o+Y2vjFL37BJ0+f8Ktf/4b17Q3TFCm5klVEQLPfwzQIQZbWvjcmkgfVGy0yEF/BNEas0VGkjgj6IIlZnbEYhJnla9tnIjdrKSUyRZFdyihOMN1GZSwxJS7Wa6yznHiPo+douaBsrnnz3Uum7T1Pzh/RG0FCHzjLdrdlESw5OK7u12xjIrUGQZhBU4w066nGU4OjGE91Pc52pPWGrB1rrEWWqqoK8kZosQTPMHQchI5Q5bNqBYwRUUPVznleNNdWZraKvOhe5KQpCpXUOb/viiXIPu+Xr/P3UIvkohTABemmUNBdrnys1ouMC6y0aZKc5j1RQYet6rhUi6zZU5Sr+AAMFd8pZ8lZcZsbKZRE7aNO6v2OsO3/3oczeccwLLDOk3NmO47UNMmOIkbG7U4ui+AAGW/G2kgp4YwY2lDTn6wkix6uRt7BmcZgRAabatV8dX0P9RK1evgb9FyooqhDuVJNLwXrYNzuoDX6PtB3Pa1kbq6usMazGAbOT884PT3l/ZvX3N+txV1v5ecOXeBguaJfHdINS3wn2RW5VoypDIue1eGK5XJBtxjE4Mv3D50f4FLAmv1Cy8rxritWHZ/ogaxGZIxeCL2RmW+uchDKrsDSO0+vnBJj5DKwVqM2UcmZHsS0qoey/FFiUUcm+gDvvzC7R22I5R5qEVdyKVLBNyMVlxz+QitU3cJesmp1jmqc2PjlIjIaSFhppWFVIbIfnemBLRVF3l8K1lgNTpGH21qLCQKumy/TvV9C51oSxSdyP4kCnQ2DgowutYn2GTH/dc7iKQTbWPUdQ+fJLrA8Oefo9AHL42O+ffWSr776SqmjHS43nP5spVVSa5I61zKmQUqTqj4aN1eXpDhxe78mtsb5o4G/+OlP+ad//mf86u/+nvcX73n99i0fLj6wvr3luiQaiT98/Sd+/Omn7FR/bU1T3bUYpFJuWq3Ji6ZJTcIxSlnGjOpeFn6SzL7nitZYyeDu+45FCCxCIFij4oQKOgoxJqA0d1rNxNTwncXhySVSslBTSzPUJBGxY6vcpESomVPvZWmaK8F6ttsdr1+/ZmE9R4dLtrsNOSds14E3VGup6oidi6f1eksLPcl5jp484r/+F/8rrnYT//bXv+civqFsJznDtVOupWFswwZDQOB0y75nGXpaTOQkhZM48sF1glaWCa383EICloM1BGFQ1dKIUT5zGVPZvRBCOtuPHcRHwYT8XsbqvkZY9My+6VmyJ0pAKRJza+JJqRoBKkswqaYRz5FgZeRi8XshhUgEPkpl5fufd07z1MEay9B5hr6ntU53DV7T5ipFM1KYuycgl4TzlnEa5aJFOvOaKtZ28mesRUKgmlGm08fKe55KzLLn0qp0X8iF4hQAug8pakISaMgifA+va5Br0jNTkB41oFktjfu7G77+45+wP2qy/1od8v7tG+1A5LMPfaDvFpgqiqmoJGPrHd1ioB8WrA4OODw6JARHKokxxR/2UpgUAtdU2WO14p/zYq2ZyYNNHxhBNiy6wOAduVNmiBG7eTDqQjWAQ3HVhimL69iYSgid8MS9RPTNIRpVnchdkC9S3H8y+nFGFAoVaStz+0jQbMbsJaAzVgKtRgGd6Uu1g7MCw8uaA41cCq3pP12EDjljGeQbFScpemhJ6E1RRVXRak5eOOs+LpysFWkeyEWxX/Kh/HnrPl4i1up1LJVhFxyDd9ha+PD6FW5xwJc/+SmbXLkeI77vSLmy3SViaUwp00rjeBhYBI+jSYCIEQ9Ja+xJscEaPJXN/TVQyFMkTok7LL/71S/5z//5P+cvv/yS9eef8u7ygourS/7+7/6Wi/dv2aWJN2/f0PLEt9/+iWYMlxfvOD06YsDRNlvaJG5lve4oFSHBzst2ffmt3rmmoVwa8Sf4xUDvA8E5uiCUXdPUiGVUOaOHrHPyAqacqMFQWmKMjVYzwUDolhhkLGq8ZWqNhKW5noura7wxHNQMvlGicG9MrZT7JLngvWOXRi7v7pgaDIeHbHc74maDxTIMK+5zoRpHJeBCD1PDhp6uX4C523szZPuuUDoa3klX3ErFeBnvTNOk2GvzH3Wd8z7toy/H60xduuSu6+h7Gc1Mo6A80BGTFDKC065VdgZWp1itapevy+k8Rmatk5sLGdjPyGsulFQwNih/TJfKyD5yfpYlgxrd4cn3LPsR4YRZ4+TymRfiVbDzznu6IJdC1u435gzWszw8oht6BcNFJQgYchwJwVNyZqPmrpkUax0YK0E7BqHpzvSGadoJQ0tl080YQucxuquZc5lbMyhj9+OZYGbEihpKvd+Pftu+AEpQMkERLuv1PV3wvH75micPz3ny+Ak3l1fUlJRrZSi5MW4jqY4iizUGFwJHpyccdB3dYqBZx5QSY5rEMf1DXwqplr3hZP5yMSKznJ2lciEASAtjm6XzjlU/0EJgckY38lWomdVIKIouVw1omLtA3kAqw1JmBYUBE4g5aZXspQovTZdyknHQStVLpGqloKoHNewY/YJRLXubb3Zb98EmWIkQFCemJWkO62y1aQZxJLdZrSTYhFIEbTtfXsbKn6vU8lGaO1dnGA0AqvsAn5nsOGfFGueE19IkUco5J4e2LuS8qrK6ELi5u2dzt6Y/jhQ/cLuZeH11R8ZwcXUtEYldT0djGTyLzuGtIdhGiTLS6YxAyQzQSoLsODw9wRjDou+4vbmjpMJ3X3/Ner1mODhkdXLE+8v3bMYdy4MFXMB6u8HRuLhqHC4PNKTIszg4hFiwu1GqxtqYU6Rqa7qDkjhEW7N6E4TnY42CBRGRQNeJ+qmWLEo4VBlWslwQupeRLGyPd+CqZPnWJJ97sBL0E9NEMjpOK4JIeHB8wqeffs7xbuTmH37PdtvkGaHS9Z0obbzh8HAFtbK9v2NYruSFN8KcSkkWlSmLasWFntv7e/7lv/y/k/zA9SRuX6PKm9zkLPFYHJIBcnyw4mzZM+gzT/bElPZjS0wh50jOMm41xuiISFlHmH3BMxvdjJEDdr6ISsnyXnhxBotOZL4oPoIsYa7apbs2GLm0sPprysK1zgZE7eLn3OzKrFCyUI2OjeUCjFPCNSsTglp1uS7/uzOQmxyi3gf60GnGhryXRY2uLkjE6PyZdn23H/ukIAKPpN2p0JLBWS9Jgq7tL4L5EnLWCoqC2QRYdTIh426RSNuPh0JtupuUP3OzkAUVTWGWq37sxOSCaLSqBC8VB9zf3uOaoXeWs5MTnj55wtWHD1IwI4XbtN2JQAIjqXgpYbxI75uVjId+0eODZzfu2Gw2P+ylkC3QCg5p52ZnrvVe/iAYypQwreBcU5UO9N6zCIEcG77rKdUzjjvhqTiw3hKMwxRw3kAIJJP3FfNUomwnKhKdaAMeyXJwzhPjqDhqMb5RRUnULztMFL1uy8Itcc3rC+Hwitiu1pCbyFQr9WPeAcp0ryq/RSqEmJOA6/ShrMgyydYGRVQvzctQ1M7FAk0CyeV3h1mkoV1Xnb0YVpZF8lIVrZblxXJOlEe5VYIz5Fwx1ZC8YekHnj7/nKNx5Fe//Qe+/eYVrV+xzhW6gVQKY4wiRbSG4AzBZHxrhNZYuo7qGimOGJPVMCdY4tIMUyx0y55tnNjEzCIM3Ox2pJsb+jjBzSXfvPwWHxzLgwW+c9Tm2KWIxRGcNNFkx3Y9sp0i424rxqXZYVtVbksTjpazNLRAQLKzrZ0PH60aY6ILgc5ZbM2UVICCa43dVKE0TLA419G1ytJZxmRAZYJUSylNxpE2UZ18F65KcEx0HV/8l/9znp+e8e1vfs32/Vu2l++J45b7UHn24IgXq2PM9R3jh0uWFsKycl8Sb2+u2caRUVPmiodgRBGUx53gLYxjWy0T0JzF9Z34FVIhlEznPUfdwKPjMx6fHtOZxrTdMI0TzTuoVVyuOWGc3eMZJKDJfUSQt4ZpskgtJQrPynumnKQjdB/n4d5bNabK/5018KDUislVxmMgx7vSgLt9VV2YGpIhrnib5kSeOks7BVFSVSlkcJ1TZaIqzozFzJ4dmi6XdSeB3XsOKkZ8HlNmTNIR+76nuEbOE6ZKYVGBcZzY7XbEGMkpsegHwqIX2rKCMXNJxLzbj8/a3KE3mUSUOWGxQcmyxPXeqqR9lphqAI4e+jJWAtTkKiITSWu0NI1HNUr+rSK8aSK9rTmzvr/nwjo653l4fgpxx/b+juDErJpKI0uVSa2NGEemkrld39JdLAhdx9mDM05OTri7v+PD+w8/7KXQjNYYc+WtkLs6y66MHPDWNF3SiHSt5ERJXqI3m8w0DaKUCcFrRSobeiyYlgVURpUOzDpNHULVSYaGY8oFciTFIg+20aVrKyy6QPj/sPanPbZtWXYYNuZca+9zIuI2r8m2WMUiSyzKRZAqybAhCrJgG/qv0hd/MWxANiDTEC1IgiVLlG2KUpnFrMqqyvY1t4mIc/Zea83pD2OsfeLRJvMWkJF4yNfEjThnn9XMOeZo1oUt3d5xqgYvC9yqDv9JtwOgwTVvcdIdC3cIM36TNLyRIXon5WQt6FJatFAsZZ/L/peXQXGsXtR+Dx1aakOFk0cEh+pGquqBl+s59941mA5kkrKKbhi9AWVBG4nn1vHnP/8lTg8PiLriY/uAfTxjlBWXjx/Y+eSgj3wtWA1YCnAuDGpfa8Xd+Q5xd0eVce+AG0q5QyLx8XLF/viMJldPRADbjg2P6B8+IKLj/fsPqEvBdb/gfFpR3HF5vKAjcR1Au26AFYykwWBvjXMmr0ASyrMktLDJpuJUHKfzioLEUHjJZKSk5i7FgLVWWAxAQTM2VbDCsTEGigGvlwU9HTkCLQwjHNmBbaMdxigDd+d7RE+U5Yxf/Pob/Ef/+/8Dvv/97+P13Rk/ePsa66t7/OizN/jjP/x9rP0KfHhC+8lf4OnbR/jbz3B/Lhh9wwkNTfnU7brDPFFKxXI6YbTE6Du6FTxtAx8zcW079s44zrtlwetTxV1xnMzQni74AMPdUjA6B9hhLEyXpWJZCymlzllfccDrcohIA0zsSkBmeMb3OwbW04J6WmCjofeBfdC0zmSe5L7Qox+dv1M/08zUjRnp5UZdyabLHYX00PSivUO2ncis8GSXtawFq5Lzip4XLyYnseRgIhpev/qM/mAwjAC2Nkh7BVCXFVEce98BAxZfkL1hbw3v37/H9XrF6XSmuPLuHh527LveOkY+krEFO7qQGInscjNGCKpONBkpTuThJbkECSIaoCHl3naEO3qqkdB5ypn7tPBphHFFuR/bhfBiJC660D7/4fdw/7d+Dz//8z/Hdt00mnD6LbUhJtfAaJyRXK5XoBR8+PgBmYbL5XpcXr+1S4HuhY5FXvUghM6QcFXSrjCUTKA608LYFm4oMmfrcvcsMpUi/kstgWPi2ZwvzDBumOyiYWh9w97o38M7yrDWKpXyTpfGlWEVtVbpO0nRnHnSMKds3YBhiQaQrWNJ8ZNRAOZGa99Ayn0SopppNgEjFW3gCCyZsXmR1GSEfPF7a7LskAVH+iGPXwpdMItawSx5DLfo98+W9GhVhUe20fG8yboXA/tXv8bPv3mPkO/M8/aMIc0IE9wc59MJr9aK12vF6oa2b9j2HRaJ+/MJP/jRD5GZ+Obbb2BmePvZW7x/fMbPf/FL7K0pca7j6fkJj88XXNuuzaHB8dMVd3crlvOKV/evcX264P3lCWMfMBTYciKX2hzAEFznR2UIcNh2vW6wpaIVQ1moSk0z6ljE9DJh3OZMHstZOYDsld4Hxk5b7GW9w91pRbOBp8dH7I2WKL6eMDxgwUoeex6uoqUYfvGzn+HnP/srFEu8Oq84FcOPv/gC4/kR6+MHvC0Fn51WbF++xg9/9Ldx94Mv8PCLn+Pr/Qkf3j9i8QVeDddo2EcHdgrXtgQe246nNvDYOraYB0jB6bzgbj3j7JyrbNuGd23Hsxvc4ujSgXk4M0ayjzgKCFLCXV3obR9Pa/c5oMYIQIdjqYtiOzk79oOCAcFzsr+OQaNCMT/aaPxeg2Z20GCZ1O82ZByZ0ySS1XEGhVYa+d3gU5C+C3PqMUAm4f3pDDhtq/c28PHpGZGJu4cHvH7zmp5Mz4/oo7E7vmyc6+wNy7LifD7j1as3HMhvjWtKr4kW/CteMggjBva9q/BNJrwJ5os+NBivMJPYD4LWNR+EIDCODl8O5g0WwEgOn0ukZqrzsqD/VGbier3i62/f4dX9Cd///A3efP4FfvHzn6NnMqY4DfveJNR1dBFyaPo38PT0qNnSbQD+m74+nX2UhGiW4jrsaJO7LhV9aCBVWL54AqsVnMqCkoa+M0CmxxRnlWPze4o+B/5cj8CSThrqWvH0/Iz+PBBm8CXRsqBnoZgrE8tSUSpphS0S2WmHW8BKplamnEGpZGnMVd4iEG7YMzDcYLUS48xxdBARU9+QMKtYVrZpPWg7cBOxcRMUY0IUQ8q7/uw4DPyq29FGIoECmZbNS2aweoMqqjnQH1pwBlZ7tRZEcsC27zsaEn5/wpYduwF7DuwRfE8p+upI9DCMWuAmOmKw+okYuLZGiuDkrrvjzds3OL95DawnfPvhA/ZgstzeO9rWYLW+GBbWg4L76nyP+1cPOD+8wr/4yZ/h8fkRZgVM2GOOtLnDw3VRM/nMcPOD8sqWe9s2YAxUKZVdmRHIlM1CYuDGszdl2JLFRhU1AuitI8YFr853iDev8K4PfNgb2t7QU5ncLZEVOL0607m3JmpZgQxsbaflutMV9OMvf42/dXeHv/9v/hu4bBu++NH38Nkf/E3gvCA+vMdDWVHbkCNrAnCYr9hG4jkHrrXiY+94GgPPo2FPVuHFgZLMCO5+m4VlBi0ygkNYk7htjAY/mexBgCxMoksjnz4HDvYc70wWMstyQkHFvm9ol451KTitK0rhsHX0LiuLwDCw+9Jh77M71qVwU+qbDvnCz6YP7D0IQWViqY51pZNtdFI+LWVF4a45AtlfHCorYpTTXTw+PsLKgvMd4aMRTBlsj49oOWC1YB9dA9xA3xoiEqfTSWSOwOVCGmi/7oQhB1lOp7ridP9wHMS0+B5Hd9VTwUyVwrTepo/Zy1jTPBhY87mYkZJeU/Yf4CwHIMrgMJzXFQ8rmXPFDFtreN4785gLPZJ+9otf4e50wudffolv373H9vER2+g0llQ0gBcHoiOSiYFwnoF35xWA43q9/nYvhdNSsRgppBSSUWULJ/vAXeHp7rBuqBGoLiM7qXEdfrCXOBSEyhDaF5+8oIR88I20xTUMT63had8R1ulmWRzL+YwQEyUy0IexXS2G1joQifO6onhy6F1W+GpHld/lbrgNtuJzMLnIEiMBqreRUieyanHGUvFSmyWOiUZn8+3EcaE4CLUt68riGKygJpd5mnfNy4fRohTv0G+e8EdXrgPFPQ54gRUQknPH43ZFA0AfxRQ9FoRVMuAa6uVuGIvh0piBsdQFGYYWA8/7hvfPT+xKloKP7YryzdeyNxhYziswDNka2rXxgKgrTc6aQuGzILthKSvef3jCh8sVj52q3KWuQAS2F5x4Ds95eR+MDBh6H0z7giNLAgby8nlfs0sLOnU2JAoSFfLnd4MZGV+jJR7Od/jyB19guTvj648f8aYueOgDy4dHvHveGenojhgGuDMF67ygLBWtbwDIjkl3NBEVPmwN33Tg199+wB/8jR/g7BW//qf/DJdf/QrPv/oK5cMj3sLxaIZ9KRhbRxuJDcBjH7iMwOaGp9FwiYGWtPiopSL7QDMp9i05P4Boo4A8tcR71wVSxHmZQrKhIWlCczGtZQ5l7aBPtyTBAGYwH6iF/kBTiNVjSEE0WWK8gEyX93E5JIVqHHSzY+hNJBEzfv4L6dOBDiYXAbBELUVhUbrsgzOGCFXcxuTH1nYs1eC1oywrltMJDcDzdsXzu/dMQFOutEUi2sCqmMxt2+COg42UjSjE6AOeifOywtYJ53IGSWhIhQttnw+0YFEkpktrM1XdMwd8Egf2vUlvJbhdYj1LCTIHZ2AVDAmq5SaWbQnECGwReP/hI7765lv8zg+/j/s3b/Dt4zO92JI2Oozj7Ow0VLA+vHlAresxy3B/0TL+Ni6FdSmwQe+VVaTvHjwYw+xFdZZYS8F5qQx86XEwbXypCEC3rhNjFi20LgvuVg4EawQ86Ch5fnNC3Tfs795hBzANtepSifmPzuFwDqyVToFj37G3DgZmUB8QfUNYpWAlCXu1AC6tIYI+7iVSlK88Nl8bxLHNIdFJQa2O1ptaaOG7qU0XwcN3Vg3Ji6OYaIHFBLUMbPsu/yS1dodz5ZxLTJ626LO6hIY+W6+0DhgA3rz+DNvo+Hhp8NEYEBOhjkYGYn3AekO7Gp6jY10qxhKH2ypn4HE44L5/uiDF0OljKCydg7A7rxgJ9JH0gllW7D3gCXzzzXugLni3XfDxuuFRFOM1oIEnW/KZzFUmdDYGhU4aBUQk9mioTggJkKOn88BcSlHbzUqYzrhA6sAE6JD79vVb/PgHP8Bnn3+GH7cd7/cdX12uHCS2d3i+dnQEZzSlY9sbmncUNMJuVerw5GV83S94fXePayasLvjdH/8NfNZ3fPjLn6P94j1OX3/EvRusLij3gL9+gzfrCf/Pn/wUHy9XDDM8bhsu5tiCRnjcYwvWuhCmrQuq1lXrjYeKTViRMFABBAmwYj9mWSJADEFEPUi9jUzsg+SKbW+oxRlaUxcMc1z3DrdOsalyBiL9wMHZ7Yi5FyF492Zz0SMQyVjYGGT5ZLLAKNVwWiqqJVowq7t4VRJiI6ssBskkSnnTsA5de6X6AvPAtu1YjJf0JIP0DHXuFHcyR4VD5lIKXYvR0BoN/xiWdIPW9rbDn0MzvM6ZpDu2xsLTj0KWQjrXH7whCdzrtAtvRxdV/KZJYoFYAOMclDGkgdUrTu7wGFSej8BpWTAanWXpzGD46utv8OrVPV5/9hmWb95hfHzifqwFw9jxrGtFWQqW84LT3emY47hVxCi/3UsBmajFsRbDXa0oRl+SMChsg7d0wIBGzu2pUPFpDs0GGNNYwIpgSEUIGLY+cKoBgj2zymHLVeuKh1dv0K8XPLeOrKq23eFGHJSutYkciTRify0Aax3bvjEVqq7YA3i8XjHcMbygg+yTbQQW4+VV3Q/80KwepqmtN7gwyN7laumB6mREZITiHYX3glGcBvolLTOCsBS0vTNpLqY9uG56zWyoKoVETAXuFP1MgzKXerELQ/7m3Tvcv3qF1w+v0PsHZALL+URIIIFaDGPfEaMpkayijcS1PSPTaBxWKywHOmbaVMPoDedloXNtH0g49jYQIITXB2BeGZoDQxuJVgq++fCIr54f8bh3tEnBywB66gLkzIj3H0kCa5Ed8uiwSLFUCjuoPnCqVGFHBNo+UNaF2PMc2g9SewtEaAiyXbbnC7796mvsz0/47Htf4u/9wd/GWE742dfv8JOf/gz/r3/6P+H98zMuRgikW2K3wOqERffG8J0MVubujqe24bos+Pb5CT//FW2J87FhiYreWJMvZrg7LWgeOJ9OePPwCl8/X2QoadiD0EokswIqHDk6wgsiig46ssCw+FForOsqtglhJPURB4xxE3qmICAe2D2AloRMEwkbXLte6FYAqxgARg6Qq+9w0LRyFkohzNwA0oQLIRGGTTlhI+mIDI51XbCeV7gllmIoFqi+cGiRDIRq+6Z9Zbr4hsSmBXVdUMaAOUm6MMfTvh950NfW0EKjpMJCIraGHAwRGhHoLQ7ixuiBhoEKdvg07OT8jxkSQgFUlHG+QEhsH1SDi1KkPBSuiXIwjm7arVo4e01dJOGk/ebodKFF4M3DHRYAHoOqeyTqUoB1gS0O3zlMv2xXZHZ8+PiI733ve/j8e1/i8fmKp6cnUq5diYTV8fDqDvVEDUaJSfUeeLhffruXwrpW1GRW8mLMyl2rU1pdC7Zd1LiQY2kwcMJAihvl7RpGwTgJDypSAcPz3pEj0EtBjQEfA6fTio5A1go/nVETsNyYNTC0MEG6WwE3dHTmGEwFLC0qDMMo8b/0jmvnxktXSEgOWuKaodcFUBtoTqiKuGIeC2AMwUNI4tUOrIXMoTE49AVS+RHEiXnBkWpK8ZG6BDNYsk0FiAPbd9gMatyd6m3y7smVNs0FAODDxye8//CI0+kO9+sZbobTeqarplMvEqUgxoLMjt53DsFAGG8fwQCbUhBh2Pt2sDOGQqt7bzrQgCSJDuacKzT9+2GGaw88PV7x/nLFVcNcXyqhrpx4q+C3oL04NGeYFf40bSuloMrmhH9OsZJjILrD6sKMjyBrLDufjxv/vmHHcxJeinaHv/OHf4i//0d/hGYFr05/gXK5ov/we/jTv/hL/Co2PG8NWR25JK57oBeueyuLqLIQ1RN4yo5XP/wh7n/0I+B6wfUDMxSW738Pz++/xXVr2HvD9tTw4WnDdn1GLU7vqqBFQwqeoj+dVLEAYjBwZ6poeQ7dLiXeq7JMKSt60BQuVXQ4TwhUB5oZ2rZjGwPbALZg+MusYlfnwBTB2NkCrpmRgcwOL2STjT44g1GBB+CWD6B1WpeqvAT5IPkUIWrQanIhkGiRITSViWMS5XHGRv8x9IEmhhFmBwReAuz2Z9gXkJ3Daxf5Y4wm6KocWoLpwEqXZSm6Tdb66kCnC8G83HpyDonj2RvXK58ApsXPTc+h3PlS0ZNQWchfauofRttwXgpqJvOlnfmO67IiiyG8AMnEyh4DXZ3Z0+UZb0fH288/xzfvP+L5esFoDZn0BVtPFXd3K9JZlBKZMO3f3zL7aIyBxXnAr8WxGh9IWZjEdEmjZ7rw7MVfXAhgvuw+OoYUxqPz4aV8bloyOzZGwkdH9g1+vaJnopxPKOczehZeQp3MnCIvotGZanBal8P5MQFsnWZTxQvCDcMIEax1IYQUAxhDcXkcFPeZd4BJOZtUPi5KgNWIQXbBwHEZRCp5yif9jOpOA+EtWxYebrMVTf6sunDWMm2T55DU54wiQzJ+LpIRynAIMj1oHbKidw5OTw8nrHVhuEshD5yHJjnpPR29QzhyRcRAbw3X1rCsK5Z1AdSlzctxKZV01WiqiDj8oxGgK8VqAF6xm6NnIksltRdM6lKeHmcvBpISCoPiqzbnHBgfw8uc0FBieGCthV0mpjBqIAc33VILFe0RgkAG7u7v8fp8h/vTCQ8Pr/HDH/8OHj77Al//5V+gv/sGn1ngDz57wLp9DvvmG7zDwJMlHrcrrhuwrneAVSw07MI8A3sG7j//Pv7oH/5DfPHlF/jqT/85rt/7EtccGN9+g0u/IrLBrx1j2xglOxqy7TjXBZ+d77BfGh7WM7ZgVOjiRbMkUpxrvam0QwM4t5sBJS+IW9IfXXfF/IlAHzuukbh22i0EKMrbgr5GPmhqt/dCGrfbYauNonWoONse0yjPcH8+o9TlSC5rEr7V4hjFYf12SbjzogOUsmiJUuUkCmBdSFDorR2Mm1oXOJgg1/pGQ0Nz7CAENhIIJ0d/19zBMZ1WKf4i5ZR7sbxATdjRT7eBlOX3DAfjs6vLwmfaGgzyN8oU5AkYWBRMiw73wgJ00PiwmN9cUXNa0kzbG7Bj8oLFDJCOpZrDI7AWDvd7dBRUrKVgLzRI7H3gm2+/xXJa8bu/93v48vtf4OPHd3j+2OCL4+7hhHUt6GM/8rbnzIabquNTvj590Hw6YYFa8sH4zGKsAuiNX7Eujuu4+XBYgQ7twSSlDPQ0DkmNAplN1rQmjK9bx+qGZT1ju15Z6T9f4W2Q7xtshR2JskhoE5r0ewVyYLrI76rWTYfngMMrb/oxBgetSwWM/vvGwp4Hv6oPN0JcrAakvI1phKUHHomtNdo7y5mV6lEOg6EFNwbdLTlQTkxnV0JG5F/DpnDuFlxCub/8pZyw2Ry6uqiqVh25E/pi25qHhz7ABVuc3ig+NOwX/uxe0IdMx0yeMIMQwhykmdFNdmU1gBGJ6hXhrAyts1LrSVJBSyBKhYXpApEv1MRioZDTnE8HU4gCQBeunjPtHECBm0GHyoLF2EFU0E65RFLkJuLA3XnFmzdv8Pb1a3z/iy9xOp/xL/4//xynWvH29QPOMXC9PuFv3FW8/cFnOJXAn3z9NX52ecY43xGG3ANWeDFnacAoSDf0BH757iP+T//oP8Pf+t3fxWf393j1+fexfv4lXmPgj+5W/OS/+C/w8//2v4MPw93dgr/7ox/h/NU3+MlX75hPbCts6fh43bGH8pUhh94I9N5QrR7WLWXCHWLNlFI18DTAhpxGg3AtkgZ4vaMNYFhBN+6J9ILLrrQzA4rsWO5PC1azw4qC4TusinN0ZGeuyeLlYMjNrtYr5ys7CrAlc5kDNxsaCdbW6ljYChEGbJtcgxuKYFja2PBzD5DZtpxWPF6u2DstHTj/Ap1Bdalaat2+cDKIkM9SsIOaB6VkUMf3jQz9HELHpbCKp0isUyEd058MB+yZKTGlZga1FlRfWCTq52UMXrgsBVGr4bQu8NGxOHBeKs5L4fNli6NNnzAwNIruzsDed3zz7hu8evMGy7rg7du3QHCN3p1XWOV+N8WwIqVTKa6c6N/ipbCuFXWw2hm9YwwqALJ3ViFhsHTZGPNwKCjocHmi08dlqKrRWUU+tXjWIwYagmZitWKsC3rjMBO69adKUEckB4+VH+yyroh9I3XPQUWl4Agcg6BpNsYNRtqqJv4HA0gOicDBKJitO9cRD8aM1I/mQV0FN9EkS4edKm3m38qau3VuuimuAjBdFM380EXMh0S81LUIAchSAJlHJZ3gjGFdTogM7Dvtp1V2EroCc4tHcrt1PQcudD6HBLBtO5ADtRx0C4aeGLBUVniLOUYyehGgDqJEQQewJ7BnkogwW+laURKATy1LHJz2l9yW+XwnlCTmJaCKrYPdQikmHNeoTQFfW+GnjVNdUdeK01rx6tUDyrpgXU/Y245f//KXePq24vrxA77/6g7vP77DWoA//PwztH3DZd/ZkRXHLh1NgClXpXJYnl5x6QP/9E/+Bf7kT/4cqxd89vYVqgO//4PP8e//vb+Lsd7Dl3v4leliMTbcrRXf++wz7Os9cNkR151h7/t2VKruzP3egkPf5bQKRlPXMOiJNU0koYG9Ow+/o+ItRZBr56Uf1IxbKcgctJgpfkAo1AWAjL1CnB36jI4QKjAreGpEspAsMhrpn/XhTMtulz+VLL1jBE5F4qzRaasSAXg74JbidghU+eU36m0mrFQgGD/6kqSwi53nI4GYMA00q7vRQ2cmujstwKe1Dvc6tUU2ErW1Q5g2Idw5wOdyNfpqaa1OjQL0s7rsQw4kQSwm8C7TxeGoXnG3VM74CjsQSO2MHITAkgPkDOpD6kJb7w8f3uHzL7+PH/7ohzivKx6fPyJtYN83WE3pvbhvetrR8X3K16cPmqOhlILTeUUdqbBoHh6Ac/2Yiz3CdiXNsMfAHh0dQAhqCBhmpnOtBVsyiLDUigWJLQL71mCZ6GmHGRVUQbnR7mjvGogVegO1Mej1bvRY6p3VzLJw8XflxAZwHN7bnljXBaeV2Qp7duKVM//YCszIMKbozoX/V1jvcD1o18CztYaylGNYZgb4QtO2srCyQ6HFRHg/wnPm4Z9DavDsKMU0rmZlg4xDVp8TQkqKtHrfkJm47DtCG/HaG8xX4qWqUzgc5oC6tU66p8uHPUk1NsTtghOVcfQd7rj59hcewP0Y8hWgcvB82ZtUoEP4Pp1XTWKhFPOoCGY8LQtKneyjEIRG63UrBJ0GJ5jMWbCbEVuFlOR6bmsp+PKzz/G3f+9v4s33vgCWivu7OzzcvcLbt2/x/EQL4u9970vE5RHbu3f0tB8DX6wr/t6Pfoj0gv7rb9GuF9jpHnBSRi2Akk4djRn6aLhenrGH4YKCD5cL3IGvvvoKP//nf4rvXR7xOyBbb7s+4emrgY6CN+dXGOczwlc8b9+ixoC1xtkZHNUKzDuy70gfGimp0xpdGQrMjOhNVuhOiC2GojuVvjdHUjEGPHlxbtv01ed+GhGIhR5btVDtvrohR2OgzGBeNokmi3z8TUNp8BAGC4jnpwuu101ZJyRWuOOYYYzRWPCIvtpldLksKw9FkzmfkQYM54VA76aCtFtYkOlyWL0Ich3HBUMIkuw7IZXs8pNC1oMa77ywOFznoMN2BySoHMc5YMRzpR2YAsdDpixIGbLMoDjXNFBnW1+NqXa18vBf3FA91TXR6HIacA4JD2nbTdZiaNC+t4Zv37/Dw+s3ePv6DdqrK/ZxwdZE4+0JFEFbgst65CHs/K1dCiU51BrLiuYV3QuerzuVoJUPqslffFYVY0IhhVGcewQl2YOmUMu6oks+jwyUJGenQGEew1CWE7I3bDFg9eYuKmgeuxaIm+PSpqOpI0B5PdwoaBl0TB0JtLxRMMcIbGi4TEwcrLJu+CCbjqWUw9ICGlwutTAgY3TNAQsvht6O9rEuHBxbrZhUrE0dUa48JFsfQL8qbIibgopusFICXRHNASQrfxQ/lJdjDIwumAiJ6yAssBbHdXDOY4JWTuuKdTlLgs8BVsKEOYMY7MRM05iN2xs38z6wLJXpbftAloqBio6KBmAL0yD/BbZr9KSKYHh7SpBUCjHU6uKox0DfN32W9JCa0FWmNikM0cgjP60rFpdK2x1oO+5qwffevsXr+zs8P36L3/s3/ib+wb//H+DbX/0KX/3FX+Lzz17hzdt7/Jf/+B/j47uv8Op0xqUDH1qi9MD3HgxfLgv+wY9/DGTB//DLr/HrfcelOrYE9ubIwsdvbaAsBUBH64FSVmSsZCh14OvrwDIu+N6aZG21wFrotfT08R08gZMvuC/AEh1FbJsFTp/NNDGTBprvWODwdTkOvzHGYSt+7f2ILl2UoZHdsV3JXIkgzTtjwIfjbLwwrHDW10ZHdsbCnu5OFEsuFYsvGOhI19xKxnTIgQx2NJnJEKxS8LxxUByNLDPU1EC3kxBghkgHJOTiHKIiweyHMDJvEoMEFKcqN2UtM0JdM8jzzwigS4dj7DLouEorE4s4fJRyQpR5g41aJEaTyR0Ca61wOSy3foNPz+cHJFIED10IY6D3VJFYMFMdMwJLcRaZYnmh0MKjeqLaQMkON1L3DcEccuP+aEGSShgPnoyO0UH0pNBpocfA82XD8+UJr17f4/xwhl+K6nNHREMtBW3n5V/kmOD2acf9pw+aJZ0n7szbt0OKxxi0kOYYn9zqkciuoaRPn6F5qkrsYcT2s7DVxLzM5tAMQCiU3Qovnow82rBAHq6rS13JTtBQCMYhuIHeQn1wxehSV5ITh8Nt7wdlrTgV2VMWkHJfNIKI+tArEAJOzG8wzvxf3nISmCCl6jyB3jdc9x1DC84yKeYWLRPB3zGFRzluEZ0M3cGBy88PvJQCXyoP7iCdlNx94t8GQ5mvMfiaz6czEmR9XVpDA2TtMeEm0+CXvydmlSUobWRibx3L+YxST8hLR4+OPbSgZ4AB998xh5lJfNygQR8gb7xABPSWw1OH6tkhiqoVp/nhQqpfaw2LLbDKirIujKHc9w2/fv8OOK+4//JLnMzxy5//FU7V8Pz8iM/fvsb7d+9wMccP3nyOuH6Ozx7u8e6rn9IWGRU/fLjHt6+vePr4iN52nNcF17bjGgPldEZZZNZXK2dU4OE0EmgwPGfH1QyPSHQE7l6/JvsjOYcaGazE24beNrhPDHjg7nxGWKI733trDburQz0YLjg+nIm2RFD1TNZWPSCMEJEDyerxVFnBt04o+Biejo7ESXBPYh+d+8AntMno0uIcAqcGqtNWosXNtpufoyAvUzaD1pN5QUlaMdDSWvbWUKaD3XzJJulgjI6RcghWlzn3G+FgwUKzOpYCm/Aq6dKzWKUo1DFBKhJHTO8VMK3dyNtw+BCuquNoKrxIIglg8NI1GIrlTceg358WnPmkFM6mSGKnxY/pZw1Bz5EdHRNe5bPondqRIrX/4+MjXr96wMPDHV7d36O3K7I7Whhfz7Sh9+mp9jJa+F/99dfwPlrYzpgEGiOxR0fbG4o31LJQjDKHO5KxTz2B1UWHhLyNCoVAvVPT4IKGiO9p4CgetxV+0CGswkH2xDBeVNUpsJntJ4wHXzXD3jYGXZj42klrX0JO7DCmXUQtzui9EfKAyYOutpQiT/uBUpdD6j4xxbmYmRZVb//Obxv20nmB7roIR4TUptQ2eOaEQDmoVsUTMuNLAM7p/fHzj3Ahd4Tsd5nIppzfwtc6IhFieCAX3J0qXt3fo64d9nzBpTUOc4tJW5EUH2rAzmdbeLFawUAgzPG0d+zXwHOjMCqNBw7zlfPYWAYeSOY3JTfHiGyx6Vzrh9im1kruOtiJuhmWwpzeop/dR8fWqAZ9dTrh7du3PLifnvD0+IT9z36CD+/f4wff/z76dcOv/urP0XrD7/7u38DdacHzhyf8evs1Sk9s+052Tms0T4Pj9z5/i14cf/ruHdlw64oAM7At1sPWhGe1HY6kA4buhqcE3qfj/Nn38LAsePfNt8hkpvLWOj62wbVdSNgoJ8d6oqlkWQpOyz16b9iuFx0Kk26No4g5bFOOvx9i7ySWZUWTe6wlqDfxioECXwwY9DAq7lgmjVXD1S06cuL3TrfcOQtaULCsJ4q7tiuenxsubaNrJyhSXSqdiAEo0IYGhJ5S3B6FFm4HtdvB9AjMQoTztb11pNObCEjMIKEUSwtQ9oaEdKVU1IVFxOHN5tRRhC6L+fVSnDYppfTTCl6mLeBjHJdJCqlwsGgj6CBIS+8rU5R0ET6IOKSG9kC6wZ1rnFRiEzJh3EfllrBoRsrwaHQCoE6q4+PHJ9yd3+H1wz3evnmDy/OjCowVI9oByxr8O/qK39ql0LT4iKfdDuAeHSNcuKaGK6IQwug+iggUYecHh9kUymOulpCydBsd1ZTAljzcqnOY1WMch1WKi25H20C/E5PoK7UQpjjMHWitH9bYrSsUwx2lJDKXwyoBJj4x+DvWyrjHSHLxLWc052Ql3b7sXzqwoQU43Sl7UlEaoPivD0ZCQtTX1NsZAC8J1+wMeZgITkrdTIqD0yJ5ZB6Lf9oR1LocsJfXqaXo6C2YzqSQkm3bASdlNROARFXZhnycZguv9t8M+x54bhueB9CyoIWhif3ibkdHRyGeDP4A4byOsiw4l8rkuFoBVAwJo4qDGcyggrrA4GKwZCpUZFoMlIKH16/pCvnuCX3f0SLg2xXPj+9xPa3wDPz85z+D14Lr00fcP7zC9nTFuDTcLSfc1QWldDgSrXEjvqkLfvfVHVrb8NMP73E1w16AZkH3z50ai9N6yyBYloXVvxf0coftVPHtaLDGXOarGz5sO8ZywvnNA67XDfXxEf3jFSdbUQrQ25WuoQtT5UKzKeCmZXCTYA+JKrFmb7cM3hGkWTt4ONdlhdciSjOFlLbkcRlM5+OMRJrmPkW5DS0w6+peEmNxRK2IEXjaGh63DVtvvOLritOZHv45KAgjFMjK22AiP2jwaS/IBZonQK+FedOGUQI1mLgI7W+ABzlsivbyO3txHs488DlTZLBWslMfN5ibfkXsOnomPAbtXDQvnNnQy7LA0mV1TRJFl4Ct6HXM1DrTe63ucJ/usFz7i1xgqzkyh2jAukTtRPGlVzzvHWO7omWy2vcbYQagZcfT4xNGH7i7P+N8usP1+oxMoBYK1TJTc5t+wM2/6evTk9dUFdcq+X4aymlBHSsyBMXsGw9gUP1JPNwPqCZBO+0U5MJAblbMVvxgwaT7YYTlqPCVfiwETsE4TfmqI6hRaMH8AZudBlj1lkpzrmlwNQBMkyKGlrOtXkplyHayEynC8IoBp0rce8hn3pLhJzkkx9eNnpMRMXnBABKhimNIXwGyPirDeJjqAEzuauQ41LzTSCzBam4+K4pqaEVMmKrSIwlUf6Pe6HVDofFV8IplYvQNl36FGbCe76gpiY4xqJieCuuiACV4augcaJixrIaGgigy+gqnwC4TI3dMh80jN3gkzdlkbc2ZxyIfrQ44M5YL/USo9wDVujZmbjVpx3xehN+KWv3HywWX5ydctx2WgX0E6hjo7Ypte8bijn/zD/8QX3zxOX79zTe0srju2BHMmsjE2DaUIBRQ3FHWFV8sK8arMxA7/uqZ9MkoC677Tnw8Em5n1KWC7OSBfXS0pWL57Av8O//eP8TbWvCn/83/HVtdcXm+4hlPGFaw98BlJMIK7u7usdQVLhgFQY1LWVfSpkPznGWhDfug8JGJh/TAGcGs71KLCAm3ypBpg/QvK+boMbAUw7qcCeGMIep2EO4Fu+3IhjaIzUckxlLo4jsCew98vG54bkNiNQ5Eq1xt29hpBuByQFaxxoLwBiO73+Zj02uqlArdkJxNFu4mqIIH7MUhZ4oJVoWfEw6KoyOYSuUhJ9kx9/DRMeQtRwQMYkrNxWCEYcxlaafLzE1nBZIXqi4HE5JB1iHXM8DzqZhhLQVrrewyQudq4eCd88zUJUdH2K5/DsHovU8ngMTT0wUfP37E+W7F69evse9XPF8+opRyXGbzsmwvioZ/3denh+wkMbDA7AJoo8BhFW/fttNZsQd0GDGVycSDJwWN9hVmQSwYCRsdADnE5IATW16X9aj44+gUTPbd4hcbEGLjANOVkMMmE4Ogj0463qxKAJTKtz46h1xWxGgBh8q1FAp8DMxFbvsLW2IeRMV5aaUn0KGuw79TsfRZ0QMoy0rnRSNa6saEJGKw3CQH3K4/Pzc6NH+BgDLYpOWZFvu4/bORPrvtDI5hReK0P4hAth0FHafBhXp3PuHNqwdse1O4DTu4Y7PVFVYUKKJB8h6JPYAru2tc24DXBZBo0Qq59GOk2EK3Z5K6QL/TUYHPj3Yl/LyLzU120x6UF5UljHOlTWrYRdYkbR+Huno9nfE7v/NjfPnZ5/jRj36M0Rrefvkltr3jJz/5M7z79s8QbcO6LwgMFATua4HFwHh+RHjB66Xib7x6wLV1RCOpoMHJHkOi7VXdmsEXR1kq9gx8u13xIQyv336J3/93/z306wXb3rH3jtP5Af/dP/kn+O//yX+Pno6H+zf0WFLwjS2cYUUMLJXdd628BJlvnIIuONTfe0NkYCnsCAaSzrBBerLrIKICmQ7HxXAkDZr2XM65YQwKH8tCIdiIgyySvQPrimtvuA6qfdP9YIoZIKU62WNyfBSUUg/47/bZm+Zzc/B8o4EX0LMrese6nmBCDebEONQ1R4xbEZ2kX09B2TyvcqIXY2BK5KeWwOXpNGmko3eMHChBKqlrjkrfEBasRV0PadCGnEaBEsY5gOloMGcH1e1Y16HLXC9ZP5/vocdAwOkAjUAbKWEuIXjX69/3hm++eYdXr15hXU84n++w7xsiG1KFbynMkdn33/KlwME7xTCj7WqDKqwSGqjryhnBropYPiyQcGWAcu0x5KFeCuGA4vBItOyomjlEUhy399laAXXRHCLAbkLY+YRMAlp4WpQlGZCTCFXUFK7FmN8jPNJNwzNHscTJEuvCiqGNjQcbtIZmJ/HiQPPDe13Q1YsvYpscBJO5JnX0oTeYAOeEpKiboMibld/0rD8+B7XiZSq39TqmX5RJExClY7/SIqAsgvqaAnR6QzG6rra2w5eK1w8PqMuO697QpVTuUOYAFKiyUJ2+X3dce0dL52DZF/TsqLNDkzaCqB4xVDqqFpQk0wi4aSzm+xidlr+EkJhlYVrYSzFdClXVD+cuIwb6aKjmaOLxpxlsWdBBF9y//MWv8PW37/HTv/gZ0oC7+wc8vH4DW06IuuJyeUIbwHpamQ9RDKfzArSGaDsWA96uZ/yNN2+Ap2fkdUdDA4LkhrYx+7YvBTULrJL6+83HJ/wf/9E/wpv7B7y6O+HVwz3uznf4wQ9+iP/gf/kP8b4F/qv/9r/HsMI9kY6SBZmNKIlxwLqUok6E9hYcNNJyIgEgBobsHawow6A1BttovaxTpRvkvQOcOaVCj2DAsqwATJeJ4j5RZH/dId0wMgPjesXT9ar5mGANVf4R4xanCWkMdKhWrdvIJFTlIa1WSB1sgnfJeOvBCyF1sZjToJCCt5ByeKa2zYtUpIYX+/EoniK+s1dfXkyHAtkUp5s60IVI9NjlggRauE8oW55FyzR1FMw5ZwlAHnBSRooCHVjXaW1PAkhYqEuhNxZnjVMPoZmert3RWSBaJt6//4B37z7i88/fYFlWLMuKbdMcZyQyCf/OyILf9PXpyWtJylePgAWFaLRxULaCF9R1RVpH2kBgIBrzBMgUuFW3U5QyPdN53gY6wA8emJnXSH0oKWVfGif/zD1OfeA8UFNdgyMApxJ00kXdefnwvxWFofNALs5EsqU6TnbzaUFxMjAGsKwrTrUeLWnfdzpMari1rqsGf/3YfGa0sJ0H/OxkLIAY7QUbwgQThZSWdjyvnEOxmCpNXRizstP31bKS042EaXHDqKqOSNSVR3aLAAox8H102HbFmivc2fIv4EC/peL+9Hkv5rBasSewZeIqy/F0ulXSGC1ugrIMCZiqdISczRhosx2DWoh1qXDBasS7b5x6czKOllqwFpOoa8fMHW7tlvc9zLA3HpjVyece1fH14xUfnxse1hXVDa9fv0K++wiUX6PUBVhXDL/C64rdK3pJPI7EkrSLj0YTxLMZfvT6FdbzGfbNN2jPV0RzxFhpsxIJj4WHqxeUpcDS8HzdcNkafv7eFMNoeH3/Z/gXf/VLfPXzX2CUqlAoYG8d6B3mTAOf1WscdhOSq2gAOySAZCGwqFAirLj3jkM0BbHUjFz4YVTLqtg+CoxifgxlIw3bTsvzASIFKb+fHAPXNrC1gZfxqDA+M08xckwK+2W99YnGuNB5WXHegKO4GmOggF36vvFSQCqbOoKW+sWxx0Dm0DBXITIvZniY8wRpFkxF6t6bXsZkOrEDL+o6wvVMk9V/laBuZGqmpfU1IzitUD8xU/8isRjnNDTFU0E99QxGhpHFjcmXwDHjCNmY0MQw0bsuCThKJQNssqmKEYLet45vv3mPh/t73N+9xvMz85gJ6xJ6ou7it3wpkAfPA8vzBbYGVYOZMKOV84xDpK89q5sMwMoNHphUsTGIS3HRsLqcPjrrUqGsIl2QVPKODLqU5sT6cHj03C4UO36HC+oJAJ5+wBTztZIRMCgrnyrRPNYwXGKVedhP1SLAwZw7Kzl3P9pMgyAvLR76/TACsIsGWJw6h4mrBnip8YKQzW5RZ6HX2nXBjK6ZiwaFXkl9HYMhNpzlTXESL4hSF0IOTiZQOH33m/Dk0CLqEdgHISLqGOjpbq0z8SlIrx2IQzFthReiWZ2fGC27Z0eoZ4IxOw+6mSIkuupcQzk4kJ/K3OQHdUCIlsB5pYnavm24Xq+0kZ4RjuZo0AE2DOiBmoGrdAJb+mEwdjqdsZYFuZzwuDWgkyf/vD3jeb/gs7sTTmZYIlHbjrVUvK2OHz6ccE1CSdcONAdZN85DtXVDnCpOdYH7iZe182BdSsHTvuF/+JP/Ce35gm1QpOZmdMt0Ol1CXUJMg0nEoYqfat5aXRs+DxhoaKZWKmGDOe+a1MkEdQnB8hPFKxaJ0QAdjPEi3c25bnNSxo2FRetSEXvh3M+NVfVk3OiSWcpCoshgt2E+Z1CN0LBMMw/WYtsRchctYiRNxpA5Ya4cA9WNeeYWiBBJ48D6eRa4DnwWnrdZw7LWY/bAs6EIpdAMYtLejcryzGTmwfSn0qEzWUuRivBNHsDU7qZ80Djzc5P5HncZISJZyZiREJNpCOcFRAdkikFHAB2BsXcsq7opnqRwL+gBPF82PF02nO/vsCwrOP/m6+SQPYF/Ccn4V319uqKZZzbbc1UNI0JVmR1sIQ6STYrbKTG3YxaRs12a10ACvfPGXgSL8AMeaKOL06ucgUIjLZMBScm5aG8DpeJOatqBPQOQ0w4XnzqQ0fV9vOiKQ/71CYSqsQjR5OgQOvHIfMHX18M4PJMMrHTn3x+ahVoxAmjJVnJmAWQmB5vLwqpEFQtgghQo5WduBeCFLCP1lLwUSjlmCgAr9hhURy6aDbTesZYKr/Uw3OsRyM7h/1Lpg99VobSR2DMPNXkHEDI07AF0SMyTAJyLk+rPQRRvwgdF4TFmrOgHDygO4BI9OdBD0iqFFwZ986FiI4JdiSNxdz7j/u4Oi/Jsp4UKL8cKmMR8IxBWUHzF5bLhsT/jblnwuEv4dVpwHYBjh02mVRierzu2fcf9UlEGDdfuYbjzgjU67rziy/OKKxLtecc3VxEJ2kD3gSr1qUUKPklpWgz364q2NR7ay4JmgRYNMXasy4LTUjlgBp9RzNwRmDpu2hW8rILHC9qowVSB4hi6znILmceeTM/DLyyjkyp8QBM3TQlp3OysISpmZDDTeIj6bICFH7+rKefYK8khlgEWTzOHQMUR5r6xY58wITCk3haqMAOtZIuemk2k05rDoP0BneWGo5A83kfytDEzLEulrY7PGR1V+jTUAyFi/dzjoomAl4pVcaWWySAfQU6jd6S5XjcPSptnT6qQ9nK8tsPva1IN1e1HJCHdTOxDRBPnhZuD+88HfdJmNzMGu7q9Dbx//xH3D3dYT3codcG2X1Erz55QMfYpX58+aO4MGQkxh0wf1DS0S+FlcKPpXKX6NDPgJdVmflfMNBf21CeYGVBne5S3apEjUlY3wsXcOew1I1VtRLsJo1iGi41ES2BWBbeLItXi0mscoq1VIDv2Pg7WD78tuSlcePgLxgJMJlh1BoPguKDcaeMRYgwBhKmGQXbPrKjqQo7+5E1xfjF9V9hhAWJEHDoGGneZ325/Goy1A7JzaUTcDdu2wVZmZ4/smBxKM2Ob2jrMmC/Rk6rvnkC4mCLJqoPMFNlsmGjDIbfLACsSHThjDAw3LEYbkphwj4qDaaY2h9P8bApT6kYHRodBzp86YDNTtuNNAUWAVYoSN0FyNDgjvDQGkHtDpR8DFgwZIiY6BiwGsvMgYAhNRxqwloJr8vBc3LCMQO0dtTheFceXdyc8J3BtO8ZIXPrAnhtG0hrEo6FEwFfIDtuRW7AbMNJrl2o4rRWXDbiMDbAd1R0nJ269rLSUGBMOVDE2jRK5xgoHs34jGdDivMNsYKkLWWSYhZs6kWCUaQIHBZXPX5+zOZbqSC8IDXeb1jFZLS+YQ+rQZyZCNcO66D1HYAStOTJC1hhMPpykgTnnMJDSG7LtqIdaGIB19LYf8aQMq+dMkbqCwkvTtF/nAVcnWw2y3phuBRxq905xIM00ee7Mw9MMsFIR2bDWglf3JxRzjL0d9N9iRk3BSJiFrC1SQUlETsLkXmmmS5KFch40XV38ObC3QDPqZoa5crMJnUeSTu5uWNeFqvdO48O9d3z97j3uXt/j9et7nB9eiSYMDu9TjK5P+PrkS8GyAFkYdYnQIWaHutaSVMZpqVxLxfmMm82z3W7DqUDMEAXTiJ8mGPE5oSRXyzqCLKExgFHVQoZ6WVBsM/nV5L1x8yTZlKjGAWnGTS1JufgUjdF0r/cgRVS0QPN6eIbcLcLOlwUWzuFX0o0QNvgaYw61TZzjW+s775GlrlhK4nK5IEbD+XziwN7kfClcl74nXEDMVBaIksTj6VNTFcTOw7JpsFi9KtaPcFUKH90HLZA5hANqXTDcsEtUZ4V2F9dIbEE9SQaYlwz60AcGLTG0uGvlZV8AsiOS9/YwdnvSOaL3xrbfXCIefc6CMAyAB7AWoNqAYcBdDI4xjkq27fTMDwxVzbRlbp0mf8uycL35tDZP5ELfqVmdVjlqOgylOlrQwiUskM7DKsbAngOOwG5Mx7beYSsFmuc+8H035Orw5x0tgLSFeRVRsXUgYkOm4e7uzIMsBqmIadhaR6krhhd88/iEtRj2dcXdWoBTxWqB81IZaGN5BEmxIyNpg5CkI0sexUFC3+/yEMp+s2Wf2ccNUiRzT44RgInlloKw/AaDTssWNj3Ep10qXAe9kliADUIxpaB4RZE4de/MNagrP5vRODwv7ogx0AY7R39hQTp6wovyBdQB994wemLYoOeW1j6FZrfsgEAc3ktVB+HsGObFoSXCjiBm2ZkqDua+40FfPbGWxKsTNTVX63hqTc4IPIO8EtaZppXpSVaiQUXuLdsaBD1uZ6OOsj2ALRJXA5oQl4gBcHSJadhpI+CDDEpfCrIHBgKP1w3vPjzhfH+PWu9Q/Bl939Et0XqQFPQJX598KTgkhggFfAgDTx3uwM0vH4Ic6lIZ0n3IdMkmmbRUYseBahUTz5uittE7DkbDizcTZlLnUXnrNAhRJTltHwym4JY5CWHuKxdaqrLgoywYAeyRuFw2ZL8wM3ZWWDqwhldMRk0phUZ4SU9/M4nIkp+4SXVsOpTcCtWPKRqqkZqXGWoZNWyfg0OwO4KnNr70CEY2lcuXCQli8WBlP7nNxEu1AsU5T3Nhk13fR8pmsYqGgV0D3jBeHm2wm5hio/RbhQeYDMvIsJhtc1GVSvxflaHT08UylZlg8KFaTK3YhBkYCGRYTTRUJ7xAu+V6PKtapfRGao5TEeiATRU5IyARiSMPWN1smB1Mral+TQCYbrnmpO32TgZIcexzKBoBdIqA6hj4DIZ6d+L7v3Z8HYFrDvTOVDVbK3oGnq8XLJmMitU+yFJgy4p/+3/x7+L5jx7xT/4f/w1G77gE0C4ND6ujjYZzLUCww6tO1h1nDLzAM3E4iUIdaCnKFh5DDeFcF4YajmiAlcS2b5zZuKG3HR434ed0tjUvB/xFFwNBhsbXdFoq7s8nzjc6u7tJBKC6mxdYrZU0cdN6zJd2J2LGqJsG5iEeKB4HNOVeZAU+ECE6OsgEOmildhuuR+IIoQLYNZSyUAsy4amiYk+vxYtxbjm6UIEBy4GH04K7E/26bDGMlar0hAEl0Tsvy+mzNJKmf1MEa0E6P4LD8QHNEaTjapHYxsA1EnspCFFzAcFZRhsYFy3ZnBfZ6OqYLNEi8OFyxZvrwMPpAafliuePF1x3ukb71Hn9hq+/1kwhhFdO0UiEOEjBTRw2ce0XAjIjNMDqfMrcgdClkAm28KqkZ7USL1pL6KEwdazf8DGXercQnzak7IA14I7BNLcQ7cwksJoK6TGr7IlN71hlidtHpwsqyCappdCbJjo9S4KhQ8uiOUhS1FVx0w6QXccN0seQpQW7otNp4eGmwbHpQpnMkoiUEyMtQ6oMxXjgJiIalYrJ58pYSl6602/FTYEf4OYc+rlMjhsoPbGexX7QcKssC87LitLbgddHdLgVFAdCg+Hi0yVSMZuY+H/IOtmPCwqYZ5ba8vk6ozM2ceFAeq0L7tYFq7x2EIMHRSQGGkPWjW3+HIZOuTZpwrQlr0s9TA1T8CArX6lgEwd0aQCqLoYx05Jz0p2VTFeohO2DA9YIIES8WGvFm5Pjko6ny4bWd/qBIbF1wjbLumC5I9+9i45bSsX57g7/2//wP8Tv/97v4r/+r/5LfPPVr/HVr3+Nj99+jb494vnDB7z/6iucayVE2uOwY5hisVncTBNFJoyRsmrqFifLj/8PJIq6qJs+YETQvZRvn4erU9vCdcQ5Ej2q5HArO4sZo2lI1JVMozaaWFN5rIvehxg0dsCLBu7hA2bHzD2wYy+Y9sx6WlkU6pvNqFuZPmMzjnTSmC1vRngvadyThXNTUedhA2EpuDQCyAG3xN1pxcP9nTqbhlINyyrDTRWumU0QdTkKjcj5bJNus0Z1f7E8PMigrOmMVMFCj7NhcVycFlNXYYcGIqYTQhbUZdHDCzxfrnj3/j1e//hHePXqFR4/vsfT9qTL/gar/eu+Pp2SauKsO6SK5WFBDM0wE9TcqS1IDf9KWZDJfAW8eE0Z/MCR5NxS9HUTk5SlEvdMMVz4MQLxgkJXKlxsl9SHOXFn3iTEW1k9FlnxsuqN5ES/qbULById3SXEASEpCimJp04TK7Op3mTIT61VMFeKdcZNBgndIgbDycWSyZRiVHkFOTgwt0lHC9ForQgqm/GfEy+VBsR4+dGRVrMSJGJ0XQqmtDe7bbQIRDNsG1kcz0/PRzVVa4Wv87DhRieMp48gHSOVMAfZgBRt3j4LBn+x4KHXOnBjgXHzIgLRBmoGVi94OK04VwXn6NJaiiGNdtEWqUqZB3/K4jtpD0rVb1KoWFIArARErvnKPBwweKHsuR+eW+waQp95YpF/EKmfxG3THG0oj/hQCwdWAK+q4W01jG3HVZX8PgLX0pBe8Hy5oojZ5oUV+HXf8J/+o/8L3r5+hdOy4Iu3b/C9738fX3z2Gn/n7/4B/uv//P+G/91/9B/DlgW5a99wMwI+1P2oSEjZtJebqPG0nriehiDWTFbY6iDO5xOrbkFqI25pZMtC7U70puQwDvpXpzBxrScynNTVWTIEpoq23bftsLtmdTsFmLJMMdK13fwmZjNTU2fHe2USomiyxYROkGBB1wEGdlUNwrtEfAej78VBONPrbBJXXnxNH6nog525Zh61GN6+fo3ihsv1GdDlMWnsXUXraV0I5Ya0U7q4KqoyETrCaJ1t8gcbQYgpgoPllnSKbckuIDWId3DvGaa+Y6Ak528sbpSuaAX7vuHp6QnbvuPh/g6vX7/G8/aMfb/SJv8Tvj69U/Ab9tY7EMHFYvADYpmVLlLgzmzRQL+QiaFl6AMIQi3mtKO4efqIcSBoxAEpiDlMeulQOjFBbnxg0r1YuTi80P4XYvaM0TEGsf6m4Rlbcrb0o5ArbCCkMRdKqR33zlCZakr6cuL8lrTFcKQyjJOWARiqMCkQCqdXPn3vB+YYHRqFFCZtwOAHFOdeUUxiN1U5y2Jw0ebcixhFs62O42IcSTZDrRWLNklPmpa16Tklhs+yLtSZALhuV2Y4O4PXJ1fe9Fk45I0jm+/Z6mNey6nLal6gFrS5QKIWQ5koozvuq+PVWnAqQMkOjMRoHfenFef1hIyBfYOYM2Q+5eBMq/gMZ9Kg0nD4YhmYyBZejg7lYIItC33rJ6V6Eh0KK7FIAAvf7chBxlUmbLALcwccDlMOcGbgZInPF4dhwXvZk5T1jCgLnp83BAYeHu4EyVCcte8N+3VDccOyFPTtirvzHR7uT/i7P/nb+PXPf641yp+3LCvIoE54V/6G1u9kxS024QV2AjkPKM3R3ByeTGlblpWzon3nrZ+81JdaqWZWcTRyYN87CgJl0cVm86IQY8wd8Ho806NbVoXuhRV0602EEQlY5ywkbgI3HJfCTY9B7zPZ3kvX4IUMIM66IBKD1qg5Z1zTIiWVzZw4nItfikPpDBsYwQjOasCyGN68eo2HhzNy3w5jQguRAGpB7KFimfPUSQLok5DiVRARL8WOCfU5mBFJ37htDGzBIXOHZhHGCyGMXYCbyeBOhXimhLFUqY9ByPP5csHHj4+4/97nuLu7g7vhul+/A8P/674+fdDsU39QQONuAxTC4poxmHDsyaMmLXIIY5srU3S6uXCEk4bw5fk15G44W1sEH8BSKt+c2tJUlRQx/YEgG25eAu5Kt1Or2iMJtUjh7Ek76jQcFwePZTbXqYyIPgb2DCwZ5DmXyup5EA6YlxKH3rS4JSOrC67hZdGH357n3AzOOUn0ibNKVTmGfg+xVG5yLXyb1x87AzNZFcTAkYqVxNK9FNkbmIRIvBiGnq9bFQ11aEEo52AhxTODmzmhj1Cvr5QqhejQ5iKLCVb19PRZmyFN8n4kIURQE/BwqjgVAH0HM28LPXncUQlQMYcADD6qMKRcUxPsNL0UVpSi5TIQpgLVZVimtTXXDMQnN9z8biJwWk7ocIxGvx/qPxZYKceQOsI0JDUKlkYi+47iwH0tyNVoX9wGrV+Cnlm9k7Uz7dSraJFwitr6tcGNbKbLt8/Y/t/P2J+fMRJ4//EjHpYVDZ2HtYktpwNt06VIvdD0zpdDqC48Qi6ccU3b6NEbHHQZ7jE4I1hXPq5pPZMJyAbfMrB4PYRm5bCfDow+9Q15ZByb8PSI2wVsTu+fFIwH3C7lWsrtogY4i2T1R0EeWEmnaLr5Ap6ykJ1KofeaOdfMQB4/k5+89h2kbp5zjaAy2hBYnIyz6VG0Xa+IfcN1vzH7bCkHdE0jCsOIfswJxyS+hEg16upyDFJNzeClIpKf36XTM6sbMPzF6xRxpuh8YgEQQkzYCfXeEW6yTeeF9O237/D6/oxlXfDw8Aofnz8ceTG/6euv0SnQUG0Obw8PcOHUvMk04BkhJoE8eQrVhjPnYGjxZJoiIBMdXYtElQOnK2JO8CONGLAGnNeV8wQAXkmb7K1hHzu9UrQwhiiNk4qGUC4wqSkUpKUjMcT4k5JYr7M4Ob4wRhlmWWCFaXJ1GAoc1XjRxL4fC5VwGg/w3kM+Jlzo170RC53YKjigLaWij37bTKG0pNGJ03rVRmQSXGogyI9G1stqw6egbW4GAMflMC+GdDpHIlVhyOcpI7BWx+m0wo2XVQbhhYDYGWIwRY4DDpkY8ayYZmVvbrhbT6jrivb8hLE1CQdJP6w5kK2LDeRADDJX1IEhgh2j+OKkK6bMCm3OJeG1wMAubMh3/nDSndhxkGk2RleXxQjTkAdU71KjeyFkqOH4ULe7KORma5w+VJ1rEUEX3Rg4ecHr84JWFmxXdm+lVozesV3ZrdQRGGvS7Kw1dk+V8FWLgQrD0+MF0TtqWbHFxoEixNARNj0p3kWfzXQmho690GfA8CuIki3BmC7CuX4mhbL6tFkW62gICta8rBqpp2nASZqiCH7ftu8q+jQXWNfj0AbiEMyZ0SKHGLm6Ab2WRSZ1cxY555iOir5dqSwuFPeFDjkSJBg/uhSH63l0zcW+O9S2g9bObaE1PhoLT+clSGRiRdt3PLcN0ZtsegZhs/WEkxcOlDOPywuA3o+Gp2YI5zkGzfMmzDoG8LRdMUD9UgfgyyKhmamwnDY2IFtTw3hTl2jzkleB03vDGIHH5yd8/fU3+N3f/THevn2LX3/zK3qbfcLXpyuapbSdVbFuBNRa5JUyAFlXU1QxIZ7bjT4x8FoZD0kEhHDDoYrW7zssoQVZ8UEwqjOROJ9oDRDB5CJouMfNQjdTOEVds/qntQYEYfGnkkaqDRVkOqWq+rmQaiFUlEYRlcGxx+RZJyC5PR0rXbJ4tbzgBReZhAEAwildPvqCcQwQb/8l15qtzhhxqMOrO9OoktU8FZ+sjL0k+jGAdH1uAzMI/WBjcNwCJC92pKGgYF0WCgghuiacG8h5ebURuLZNMEM5Bmk2TcbAi2qM0GCXkNpiwFkWFx4DD+sJp+K4X1csJgGR80CyEXC1y6M1jBfMJXfHIvbK7Yuf0YRL3egUG8Jnuy7OCUu43ZStk310aBvGgOSoSHP0EUyxGwP36xm7qNFt22ARhOQQ7J7NMfqOngPuFXfLivtwPG8D1+sFdWXU6xgd65kFSASdOem2iunRhqNpDiNbZll5KNiMpuQQ9HjdPiGiybqRfkRDUNc8CSBsOokim3D/6rwQiiCUl4l+lsBa6K56VNxTB6PDysF5i6lbmbbmVZj+7JKPrPMIZSyoHzfZX2dgbzsmU2qITBDGir9KhBXJPz8tXqZZHxEHKdtdlM8Xn+/UV7z0KJusQYr9EhgkStxLJLldn+UjpZRCM5TheNrpgOB1xSK2Exqp0iU7c7EjcNl2+FpIB46EBWcv2i0IFHQMdMHX4Y5SZ5fFC7e1JkuTaRfv2sfO9R2DXnMGhQsZ9tbx+HRBbwMPr17j1eu3eP/zj//K8/3l16fnKYxxLIZZtTLP96YTgNNa270cOH+tlXh6kkLI4Qk3qKmKOKr4GAe+D/01chzDZ9NtOzuOqao2u8E/ZoVqzRDTRpfADafkjuuja4DIgY3rZh7bxgGl2RF5WThdpw8QtPAHGfJppMSZQcMfQmmjcbjO1LnCYfK48cnnJWR+uzR50Aoecs4BhtpFT+UIBBdopih2sv4IVdYOVRAJmXDxa0z2SXIWI2KgoH3TUI0iGZviCqN8fx6rpqHlhGBMTrS60jAD12ulV3x1oCTZIwscVgvOS8X3Xr3BaoalGEoJ7Pszh8etEw6qUvaqUyhq04/5BW7zAX8xM+AHzHXjDjTZH9uEKCM0RIQYQjg+i4Sely5wM+OFHtSOXMfA3tlR+LIix8COYBJYDFgLBsgn0LaGqJwLnQoZPzQjDCWdVRUa9RBKUcQ0f79EaTaobm0BSBkeGS90Hqqmwcmb2RRG6SDWY5mH7Owuw4DTQpio7TtOlYl1B1vL6E9Elp8szlf5+/B6UnpcYmvcR1MrMzrN6XwB3V3haL1jb027z5CD5IugU+Ktkzs6Bq73kamhsiBXUUljMlftBgOh8JKifxAORlFmiooqxuS4XRI3/yOgSmzXM7AsBfd3d1iXBZfnRA9gG4mt88JbzYA9kNZwXhc5MrOQ8HLrEOasB01nX1AzVcFnF0iiHH2QiFOccPsInWU8sRKGEWQw1uJwB0XE4OdZQJi55IzcDKA1XK8bnp83fP+HX+DLL76HX/7qV5901v81FM39GFoRdeDfhzlKWWCScTv8NuR94Q+SYIt6nDcvOoepJji+5gGek9o1KVx83iNol8wEJ3kDEWjn98+DO/hA4eWFNQQvIDNX0pkOOKOj4eqOdC6cWujxX420MG5Y4aPFKe6Sna2BNEUqG8kZboMJa2nsSMPKUalmJrKD7IPkYJQELlPlJfxfnkDu/Aymw6P57SCsXtAxK+y8tcuT2mkuLYkSoyxFA1b3l0GfJfk5OXDYmQD8/67WtZYFGANNtgNForIw8uPdUtnBDo9OXnfvOJ0WvHl4jc/PK7589Qq5b+jblb7+7oQmPTBax2gdsAWzipwwQx8DvmgYn65gEz8sG0opGDp4a608MufAVJ1AjmlRgqMgOf7ZDH1SXf12GbYR2PuGao678/nIIzBIJZry5Bq8GLZtw9YTwx0WoKZFawaZaPtO5lyp1C+YmE/zUghWkL6e8PqLz1Fqwcd335L9U8kSYs2kww3AzPLmwcoDamjedSuymLBmheHxGQ7PhdnERYw7wbx92zAysIBZHSyiybqppSgvIRAlDzYXwrDWBYvssWccpifg+owm5DiZMxM2srnfM4+L//CkgS7xl8puSIcwhg5cXY29YfgNPvsOhAoc6+E7/84dY+yg3omZ024KLdI+ClfWvDu6V1xGYlyHaMtkKc0Y0BESn+acJaijcof5Qsw7pbcqjjaArXegAD0Z8DSPQassrOtC++ue0oO5ofUAYsd6liu0/kwoGvZ6veLrb77Bw+sHvHr1Bm/efP5JZ/2nXwraTBZJVXMChtBQh1UIRgI2xAtn2tlxQOUx6xNbRYsEyWhHtXowfKcanE+HrA9iu310WJO//lJlWOf64aobkweJlQLzxEvOOubrM6DnQG8Bc2b/3i0LJv5ppixVUSOnI2yCXUJLwRYGVLNDyJdBbURX5ZQ+TcBUnWszsw0eej0upTc37xjERCPYzt/gGVYH9mJmMCNMzcBLTkwaA9vNJk8izhB44HtOlWoeMxRhY2yvQ0s5OUuflc38HAETLZkPYOhnTKUrCwNS+6oV3K0LXtWKOzfUoA3Apkunq8sxM5R1RbWK6otgKa6VoQP8EJvhNttgPVCO9XJU+5jjbgiTwXcuhJf/P/9cIqV45eZO4xRq9YL1fIeyLOj7QJaK733/c7x+eMAvfv4LfPPNV4RBZRFhpoCg6Ii9sWiaHXHruOKi+YjDjO6qhyLXqOM5nVf8g7//P8f3v/gcf/onf4JvfvVLPD9+xIf332K/7MKUOXxHpg5OdqrwW8gMD9+BUipOpzO8Vuz7jrbth69YaJ4Cd6QuVQQrdiSOzJJidP+05Jo9LSvMOTx1d5yWSdFO7Nt2wKAOTBCY/85C+QB2O+xxOy9MOPyNOcSizGFo2RGdqvkxKOhKUNGPntiSiMYiNXOXud+kRM/lPi9RuNE8MYHTWvFwd2bwfdux7x1bH2gwhFWEFzQ4et/RLTByoPeGtdDxF6Kjp9Yazzvpp2wGCZHhxohdDehjzh5NFHvuP+uOVin+gxm7Cs1jqV8C6qmiWkrk5ypA2OM/fnzCN1+/w+dffo4f/uDHn3TWf/KlEJ0wQzirKb5pRnBm4mhpp3gjMJCDrd3EB8ldd3HbiQUO4Y2z8zhAnlnxOqmtff53v6kbWSVN2iZ0aLNqymKwPm152WkMpX5Bm6hMAr4HauXBtTi51fMcmRXn3hp98+WPEr0BA8gaWEpFVrpNluLY9warCfSpWuTrjcHZw6T7xSA8wDkND9Zq1FJEDhngcTjcRieeODcRgGWpglVSSU/QcOq2uQK3oBFXnkOCsZsDkEiHVM652UOD8bl7zGgX3OW9b0Yb7CZICoBcZIs85E2wEUNrKoDVHAsSm/KgP7u/w93phO2y8fBxV7cCsth0ONIRlzBD6jlgXqp6nw5epBwYF9pHxKQUuCAv+XC96AzMZG0eLy4IM4kynIr3EVSfu8NqxYBgRavoEXi8Xjl3ON1h6x0tEnuSULBZEg5oDSjEw1ErvNJVdcQFZal8dhN2VZeb1vHcEr/86iuczyf87T/8O/jjf+ePkb3h+ekJH99/wJ/95Cf4F3/yp+iKYIyR6AhV9rSKmMK1HgO1UATZx8C+bSgwnM9nGAhvTR68uePu7g5tdPTnXcl4cgxwsqe8Ek5qjbkOJBkY368KnJn0VUql0MpSxBQa3yUgq+g8EIU5f8jODoCq9SLa68JzRDCzmyOKH92EPkQkKDZ0WXdMmBpa+6lzYHbcboU5HW3QQn+tmo3pLPCEeLAIY6da6oJMwj5Pe8eWtCUpsiGBceDtoVnAspAQMCQelXaExZbsyQch2YFbh5RpyJEYoeE/jO6rSSboiOkJVSUq1F5AAFZw3XZ8++4dXr19i9e/7U6h4KShJSQjT4qsWkMtznCY5ItdCqS84xDXUDT05Zsbgm8mp50Fq3xDxO/1wsEX0jSIk/mVREwRjtO6oi5k9PdOBkstiwQfA/WuIlPhI9HRovG2PlpvnQHVsdaCtYpNITiHvunkoptw3tFZLfd07J10zlpXpFeyDGDYcqf/vGJL25xtWFceBHNvoQ1YRAmcdNSlUCCEIoviLgMv+Tb5QhiK1k+qNpA6TEmNJb472L0gscfAnIeNCA2Vgb43ZHYsaRR9sZxmlVJug8GUkI2U6FAFx01jmJYjedhelAiUNJzCsLSO9vEj2lpRQb75tZNsQDScdGYe6GyTBxgf2NvAmNUigLQqPF2zEOdkpCUFitNlc11OovEOlCIO+oC6jy6rFiCTZmVU1ZYDogsw/tLMse87LqNhaxssHfd3ZyzF8Mtf/YrztLLgqQW2QYz4advxvF0PgsOqDopxqol9b4y0XIGn52eEAfev7pG9waNLnQtYKfizn/4Z/uIv/hwPd7xE37x6jdf39/jbv//7KGXFT37yU7RHrvExaCmyWAUtish6ap1GhA5D2y6oypYgYYR065F0JI4IKtnF7KnFcFqZGdBax56c4V2en2Hums11mHWM3lDLiQf+hGa1hynE5DpNo00DTz3OJclcJPi71OU7XeHUNHXZShSrtHhQdxwYh9cSgl0PLxR+7oaktqiYhMHq2pMU6JEsXmAdta64uzvBk/5kRC4SW9/R6gJIfEorm4IWnXomOAWcOYAk5JORyJ5AMbRsaGiq8Dnbozkgo467GcOtknD5y6hRFtc3Q08cvTIFnMUGlsIwrRB6U9Y7tG0DHPjm/SPefnzC27ef/XYvhZA8fzIbrFDqPnIcXH2bWEMkGHzBN19U+Q8oRGVCFnp7mq3yZvWZwcqqBPOmnrTQDES8EOXAVNzdEr04mGLbm1ERwVQ3Oy2HZuCI3quO0QPIjtHJjQ4pO0OWGS9HHi6YKjLRRgA+4MHWehukN0bwvwWNnjhEghwVX7TJRE9ICQVEM0yGeYwc2IPV0jAuFiQPQi8LRyMxDvXmhHYm4JoT00wFvQctj2fFNzREdECt7U28BB1es+W2UjR85aCsB+Mf54Cemgt5z2jwjz6wZOJcCu5roVIZhBxa2/EYA0shaycR/AwKh4y9k9kxceXRidEODZbnXJlq1alXSBSv2mghmzzNvfrQzKFS+evE8Psgg2yqgIcOsZkhnPpZTQrmCYNaMTSnjqSPQLeBLQYjSveGS2OIfakcwrvJ1bIsaHzh2MCOb9t3dNCm+v7+hEVqV35+vLB2xY1enp7x7pt3qGb4+quvRbdVxscYIAW4yICwS8xJ40MO7O2AWN0rMgL73g+LkH1vh1AxBpmFy1KOtQYnTLs1xdsKO2+jYeTAsi5HJxHaI2OKOcucuw3F2vKwnIXHrIwNVMJPxtTLnGHmopN5xYLK5NBKlfnoHZ4iTBz6p1ARwzWfZnRh0B7smq310bFIKU1mE/daa7Q6X+qCLAV70BesQ5obJCHmpcp5oGNdqnRCpGjDjUK1vLEf4S7GFVQIuyIA7IDLZxARrbLzOH9uMPwMB+LssRYcLq1d72EEUYR37z5gXc+fdNZ/uiGea0A8T8hMdQHTu0fc2+QBPqM1kXFcJKNL1JFgKznbPoOGvxQGHYIUwR/zMAGEI+vN7p2OrUtx6SbkxzMxzAzUyoGMm6P6ir3tmEZ8bnQ3JA6XiNEOB0Vooc1KBcKvJ04NS2ApaEh83C4o7RbeU2vFCGGLMI5aUpcmJEtxww3G0AIGuOBiiP4qAZz+WwSDVpBBdW2wWvcJe8yZiYaKriqkVMJDPGy4EVOwVSl+xF4Ssps0VajTizmb56u3uR4o2OHwXwykpMipIFEH08oelgUPS8FpcayVYr6tN1brpzOK1NY9u7Qr02rh9mxKMYWcsz6kr9L8lHAM0+GzAjXOKZaKpVZcr1f0fYPZwstT9BXqQxbA8sB0kx8150GDnd1AEjISNNpU3MAcGwa2fcMA2Up9HlaF1GtAGjWAkaJ14WUiqAnpaHvD5XLhDG5dYbagFCWCCTLss9gaASwVv/7qK2QELtcL0gx14QygdZr5mRkZKQSFMIeopsvopZI4NRMMzW+QUwdRYF7J+ddaru4qTigMNDMmq0VnhZ9TWBYH/DMhTXfnjEYEARTDsJuqOHV5uALsp52Mido6mSbmdgxbA3hhkHnToxzfD82q3HGTexKSmiO14gU5ILdeFgeTap2de4DixdldGfecOhtoTRGKmjPOSX2dg+7b7ofEvtREadIiSPSAL75z9poulPzOvyccHxijY993CRv1uWISLzpKcXx8fMSrV6/+fw/2/z9fnw4fFZCqqQ+jK0GsLtIlqJJ0cIKOMvE7nvmpyguqLN2oapy2GMeDELY4F+2Mzyu6MfsIwVApeMBRfBE1EbBIGk5ZwnwyTW4Dt1LnUBzwqrhAhcxPyiPZCHPANa20VaX79FQJHgRB35KSgSp/kjr/3G1Cwg0x+tHyuvBM088bSaxzCBqZgp4Js7HvLQgzbOOWJWumizhFQ9XvKtoIZz/x9yuvoengJe1P7wdGy5K5oPR7ieGyizEN5bpac36GrpuCDzQiSD/NxL0XPJSKh+I4FU4zJnZvRphub50BQ6Ui4Oi9wT1RCzu6Pi0nCgPMc8gxU/DleOGpFJpFlLrgtJ5RKi2Xy1rQHdhioDtFUF6gKpe2zWazqs3jAk6TQAqJJk2AS1jVIWOyzFvmRKlYa4GPAeusLvnpqyApIiwUQmsYIj8ASGeVjkyMOx4uqy18rCEHYGMFPQ+Nve2kfRfaJFhx+LLCsmP0Iev2F8RjrY1MIPuEqCji7BEHD34ca12VfXDwzmjIjpG0YylVVuQGLFaQjfvRwg5fswB1GNPH/2aTieOAP0qllAgWQJbA6O1GCtAcrTWSN2ZjcVhVzDWMSdKdR/XNISAFe00jRZf9BH/B1FYl9kajSS+07KhLxaLchgCI5weJuTTjy6PrnEry3jusKnzMkrb8oc4dRE+8cN205LwHpWIaA85CZ/qVARNCEyyn9XAURvnCHmjhn60HBZcFQOsNj89Pn3LUf/qlUCuHV+o+RYGS8AQ8xGLkMaAUUY5vEGp5DHozrAJmXKXFhEXKsfAnbEPVMTiAERCXZugZsoUoCNCnnR2FZgXOzdhjCJ9LpIWoneP4MLXGMG2x6dUyNQHTZExBIo7bhxHcjME/xKpF1Vao0ipWD4ioVlpXZ8xaBUCSzTW7rTGGFjxtyUdqMJc8lN1YLN76tcTMsp4lLuEnR3oF5jkCQnPIhAXdHA9sAbNymhuEP9C0MN1X4Z95XEQZtFUYqlyqhuxWHUsfeEDgzUK20QrApYoNzUoyqXuh2aGhyuRxZAIBpE8nVwgWCBqgVc1URLCI5KHVRZH1kkSgSsVaKi77jv25KxmLB30xO7QgOXgRVy8sKibVGmIgeREkSn46Zxo4hGQ3FLSgtyEV/zxqpk0BLQpOimu9jqaAoJ3rBykLksbLWOsPMJyWBS06nUgFE83ZRFkWDME4TZfj4kzWs+QAd4xAsRsJhNi9VPGqVMfU84xQmpkd8wAgMTxFkZ77btKuQf1NsoODKLAxxm3fOiNBTTMzapFCKXq6CCbVFDyU59+TEDC5+CzQmlhwcF6u9O2ic+78Wa4bI+eFAh6MIwJLvVGT+ZKZXz7MUTMwEtj3juvW4CdCOFMTVNSJcukIShUJprpjcepEMgbglaabQjUSQCTXrhpqMRL9gHnZ4c89eNObABMRuP3F/8afbOW2j4/MiFLg4H4PWcCMMfDx6bd8KaxrfaFOlHFW1kPpnLMyFtY/dOsHPxVRSlUdY37IxLmLOVZtTKIjqjp1OEFDYXK5Az6VjUEv8dYKKhIoculU/cEO1VEX0tAm9XUMzS/msjFeSrOMYUfAy4yunwMzb5NeLqx6izGJbCT57/RREeVOiEqMDkRi5Kx6WDFNMy6yq3ip9pyGXVo05sfh9x1LC12eMTgA5qC/AKYoTAhPn4uEoPDRqc3u7OBUz6ptVvKCjgxkjtAUTr/fmVE7MrDWqqE8h3tmhorEq2XB23XFyR0uX/oEoboYxN0RifO6oiwL4QFBJTz8qBuphe+7NQ5/17JoXdRjUDi54IxYLGhjoF+eUVrHdXRc2w4kLa5paheI3lBBgd28gAlpLEhQpDnEkBlI+vZncIApO5ci8cm0kohdYbouy5HCWY4Z17SDQUN7H9i2Lk8mVraToTlGYN92TMijFjoAuxh3s/LdW0PR5XG+u0e0hu16wdbpjWR1gQkvh0NmkzhgnEggWud7xJwTMiJ2qZXragSyVvR9HLMbwGUTov0piJgzvYK6MK/jtme5TjBdWsGChxAMPXp2WeGTsk1/qENfYrdD0Jw5JLf+WzO6qbinEIAXccQB3boU/whSd4uXw+p+zqNCQ/hpy701UXKd1ibRB4Oo2s79CHBGhCQELQQCyfNtWU4saFKGmGkYx/nBvTbU8WXysplMugNd0Fk71d58pHbLqoibDoMdXciBVgeAiksvBSnbkm3bPums/2vMFDQEndi+FlNE44FfK+l/fQCHXjZVQedhJTGrleltVOVY2UegRsAWOa7K9mJqGUyW4qUYhVpFQ0fQLrf7LXZuXgqBgVJvQ9Kitmtdpd7UBTcD26aNsjmxvhlx2LWZzCdGCWVJFyymdKlteqeU40CFBp7sLALh4hLPy9UM5spuMGPkZwa6bB5ibiK1ojG4qIZmNLMVb2OgrMt3FgOgQSzPLgqmKimshNQJPbTRYXBoRs9nHmRLV5+isdDwi1UpDMemRU6edWJdFjycz3hTK86losyuxagu7mJD0eHSD1pxSFRGvxsjdms3GvPpxItDKAiFj6r2R6dgzGs9jMeiB6KT+tqSFGBmcgM2ZJxmLm+pRLgx3c1Z1o8gi2fIOqXpdQyIpmiB1QpcrUOmqMSDh4vXhUyX4rIiIiyxg1Yh89C3A+WmH1MmVy0Pf1J0z6cVYyQJsmNQuTu7HXN8/0c/xP3v/S5+9rOf4Ze/+jW2Lsg0kpd9AmEFER3n0wmOxHa9Ym+7LkPcFN1OB2Aq/anfmZqhmXxnfc50jJer5jaRA/CbEeMQKcRmnrDeY5EgrbWGa2/MaJB+Jp3pbHNwNQtL0rWnAv1mSWNOMV5A7D69j0lzhxkyTE6is2JXtwv9zEx5aLnyRgbyeoUZcD6tTIsrFd07Yu/wTNQ0Bgq5jOrAeFdarNDU7/my8eBOw0iXbQqLK1+qNFQmOExkCvaoQjGoxJ6D5ZumxY7OoZRJylGR3QTp13oozAF6jM1L5lO+Pt37qHVyYQ/NATHrdbXjtnIYuoEmqvoACZPEAXuUnE6kEDxAbPsITcmqqp0CEdMhbC8q+hnKE0l8r2ci9cb7GFi0uSdCfMxtBHVBlDiRO6ApLi8rECecaAqrIDJk3JU54MqRDopFCopyF/ieTIrImzc8MfgGVl2m4VJimsgxJIcW5LeWdeo6oNnBweNGiv17U4Puox+iQYjOhwmxiNsfSlObOcsxEkPVE10e1f6LlZMmHxng8JzhpWO6DKSPAEStLapg6617PEBkHXx4QdfLRBfjpYpnjRfIltmcR2n4bXytCRDaMRbnIw2wemhi0hLXbeMsYF3gi0RSUksvzuE1TNRfVbxtNHHHdSEI0uqDHvus/P12cXFxUwOuz2ipFctpRa2GwBAzh13xNTquPdEo/6aRoMsltTPjYEkWRbs7ntTVmTvOy4LFjV2XDiIY8IMf/wD/m//V/xrvv32Hn/zZn+NXv/wlvn33Ds9PF/z6V7/E5ekJMMdyOmPEwPP1enQ3bQyE45gv2LIinAaAfRCKHDmTzyTCclKmI0kb96MQIysujXngfXSuCfxL8wKt+Sao9GWgjqcLatYBGGSijQBFqIKI8kVRkHM2M4flx9yKM7TDAcBEeddlOm1wbiQFdvejk8lV2n4MtSdjL4PQoFUeKGstqJWQ9VLlnJuJvZHSy/PNkHpODn3WWlcZMtkLagoOZATfVd1HvISSbsK4YxCftwK3tUZtlZXjUpneTQex5zd8/TUGzVUvUoZarnmBRFkz8WhdKyIKM5U13nenIGRWrjzUJiOBVRtbbmG7PKXZwkFDV10qzvmfWlyf144yC2Rop1MlE0c1OjuOVEdALE5hMSMO7/IpAGOrHUdVXQqDR+iHL0rs4MXiOd0dNTwV0J82cXnnQFAbjYeffI6QR/totxcwhwc4MC2+/aND4+3mx/fMIR5pklKI6scnSEvsIbiucBOEWvqiwy3NiBOrkoI2WTE/4DQ/XgPhFCQOGKH3hus1cY1EMdJQi3QMxSF+9ozC5DyEWgD+LhORYV5+yBDLQ48h7RAfZjBT29JxqhXdDZZFXlHk5mNxZQvwM+3RETlQrfAQ0c+dyRYDc9aRsCp16GGiplAnJc1ZisoKkQY06iyVEIyL6tz6oGreBCOAnUnYJBPMjk5rLgbGMOzbzeIDAJbX6hp6Q287FmHFf/Wzv8J/+n/9R/j87ed48+YN/mdffom7u3u8ffsZfvHzn+H//J/8J/jZX/yUbq+9YVXxZKUg244WgwfutHAwI/w0Evt25fcesOq0iLixayYN1iwxaejmk9Y8VO1Ti8TZ3MoRnJ5zfucvwP2mTZj5K679S6U0mVtjdNrEQHvRvvv6aI2Tx14ulQI4vp+bititIAuLIzda3ETfsfeBtA1LXQDwM0/Q/LAKvmVgDjBT52Z4T5dYNM0JbxmtMFKsuS420xjjSIU0m4QCHPPWOV8phbqN6V47IbjMVG6LziKjYLCUgvV0JjRdCjwGMPDb7xRqXbDvOwLMEwBM7SFb1enKWIyVYikLWqNNwxEWkdOVdBxt3PR9dzN4LWIS8AScD3l6uGSy+jKEhFiun83ErRwd5W5FcQbSF5cDad7wPOKVfryuo+gybu5qEsJh9jn8U7VWrOtyXIYOzhqGMac5TGIZY1eAWeWqsreYalFtokxikKqAQ+rIice6+MZ5PFsgJtbK60qVESv4mJuXO0oQjNrNTIzedMGxQ+mtS9zmVB9zyioGE6tnl9aj2DQFNAxosDh/F2bnQL76pXdc0nA+32Mt5aYgPw4H0kqngro6Lad7o3iKaXq3KuilYpoPi52LqxNxk9pYxQcvWsfpdEIsOAJKOAca8KKgEnn355hZEIDNDkfPjzTVPA6bYrzgaOjITcjnqVkPOMAdIO4+07RaBLo7BliFT+x6Hx1+WnnppgHRAVmfZDp871qxidNSqYavhGjmAPPjx494/PCEWhacz2espzNevXqNL7/4Et/7/HOspzP21tFSbrPLglevX6EuC06j4cPTI67XKyZRYamKY10W5L5j5gNAMI+ZH4yfkUERJgTrDpnhFScbqdHeo1aKTKnL2DTc1sGIWQHn0SHMzmIWoGXRIFmbdUKwh+uqnjcEE48R6kRmy8nis1g57DJmIUI2OjteXTFwJ6U5unLK7VbAzkIiYxDGdv0LaadGBF1NR5DoYZVrDepWxETqMcGwxKTl3N73i9eo75od0HHpaYZQkAe5ZtrlH/Y3KSFbrViA41L5jWf9J30XcGCLSJm0WUhKzQOBr58VZLEi/veMw8StlYvBCEXdphGqisWdb72hCqYpjgNeMZutk5K7uPfpiWN0Ze2j43nbEBk42YJhQBniVkN4onC5ubGMZzMA48DWgcQA5EdjWljcELqo+AmK9qo1kbwUUF0VNz/oMLb8E8qpzlt/urtOn5qa5OLP1zjZGVNPMAf402vdIRZFKowoUlxsXh6kS06RT8GQuZdXcrL77OQmY6nUg9JajT4t4bcOywF5OrHtZ+wiozYnRjQX9qyEtsHELijCcxoNpiq3ovcwfx5dA3nJAlNzwctkbm4YvWOoWl6wS/vixsN4Uo/XZUVWQwe/Ny2wqwsZOWCDlwpU6RbzI/rVj16VG5cXpqszUVSnJ8ZoVGMbGXlMAWWwVE9CRy1YxrQEdkEHtEpwkBigw+soQPieMxL7vsOd9MJt25CZuL87o7gdqmHasNDm+/m6YdsH3r37iL/8y5/h7ZvXePf+vdYiD+tXr9/g4dWDWF1gQWKc8wSGUtIco8/8FFExrZBJJCIAu6cJdfLzBFLzDna/ru45JjspEzE44M5IDAemII4FlMwtQ5ftUUROmvg4dA9FnHy3G54/1AHkhJiOwlBCsGLH3s+gFQt8MiPZxVkGSq2kD4cIFsd7UBE2WNVrdRyamhFDXl0qJyNhdVb+U3c06aU4CopZfgowOmxwZtfRmjJYjn+PgzpfC7tw91k+zA50wKPcCDt2o/n/pq9PnynoYfHv5yEwGSvTvwQTAzlw5kz6j9QJuWRi6e1YTGTtcAg4FPTiwsW9Tql36uewqt2ZgE04IYUTHR928tAoJuigcKAIIDMmKYhVRophMqtFk68TtFj1M4tex8EAUnsKtZzuBusdDLifnPI8DrEUndDSj2HSEAzEjmHSHFV8Gy0dkClVNATf8DncNg7k3cPXlubSM3DIPvFUgPMBKxSczdYWbuLjiy9uOHQoDFXga5scbD6Tm/Hc8QZVpaRwYBTQVTIHMjtc1N5i/qILUEsdiYIZmJOwGLQlf5HjAHDTpjMQfusNHL06K7o02HJC5jis1jEoGpzxRrRyn5x5/W4TayX59y2AEOc1hPOWpRymhYep4gyImRoSPVOTWpo5DA0tB8IMewS6OfakzmQYDyqTevxG1a5amwWtyaTOpo0I13stC07LosFvQaRTuAbOJVrf+f3ueHx8wtY7n9No8Ex8eH4GpOwfQUqrlYL1dEIxx/164oW5dxUZ6hrlB8biMNCleE6j4DJF/NhF90wjRbm1ht53LBDUbBJigr/X681lmGtNbKSErFUgi371BJpfsvunqUMiCPHOgzEJBkYLDFmGDDfYgGZehbblTqg0RqDnkPtsUpS1FFgqlyVZzRcvzIyIQJmBY0rf84RQDsbEthgMazJDi4ER08srtW5u88AZe4oMCjUz1LmJZl/ZobXRkKC/WI5GEd96OuA9EgwI2Y9tgyfzxpmRjUO78Ju+Pv1SwLzJDCHGBWmDaln0RqhT4MIJm6EuNkexx4F8Kjc3xevlyo0PCbYCsEHjPK8Va3HMIJsBHqymfIGhAcvBbzbynZuiLbsugmlr4eIW99Y4eJ145qxa9WEdMhsdYsewLMbRptF+gd/rRpUl8eFxVDuzzU9QCi/QUDMV/g66cbLLIuCKYxZwU4TO4XQI30yYBpyl0KgrZ8eSdEU5yHv5gpGijoPWxfpEbHLub5+jGfHTpThhOz0/VqnjaFFZPWoDp+YSxRGFXZK7w8MwlyNFey6Dw5D2RbOGBIpcOTEHugA65NePRBZaPrfW2ZkZL7bedzTBWtNWPCOPC3nGPbqTzjr0DNIoQBuRcpMlfHAM99IOh+BZ+LQIjKRLrJuhaFdaAl4rWgYuo7N7KAV7Jq6Dv4cXAc32fLJiBCvO4ipmSx5ggNUI6nMGEMNhryvWpcJch/uYAVd2rNk0YNv3w/bict1xPp+xjcCvvvqGx6k7re+9YvTAelpwPt3B+kC/XCSOK0DaYRUyVy0Tx3CsOcbdpuoIx7DgvMSorA5ZSzd5WcH8yOcAGPTDIpOX4pAXmOlzhCctHfL2PsfU/Bz/XvvbZT+PVESrnuuEsVU91+r8fJPzKYDGiz0D6ADAGdxSyiEGZbxu54UGXk7VDCdR6iOBYbyI6Kg6Z1mOCDKeWFOprk+QxRe0u6bbcxynbTGZ9qmAI+W1yEeN+24Mzf2gSy+BVSl0i/IX5pr4lK9PvhQSeShdXfaz5MryDuem4RviwUNGAHAbcITaxmnOZVoo57vz8d+3trHasETrO99cvXnnF30AqQXldmvZzIT3Qi0fezVWYmLRzANodi3zosi4qZlJCysHXOSuYSj68edCVeXxu+W3MvZdh5pERq54QT+uGcFGaiZ8IiSTwvjiEgI7CS19ADw8ps32ENe9lJeCO4rcLAoy69HdUAw2ccwZc8hKxuZQJQmdzfbTBmBBAdS87E0bkTYMWhv6frYDhVUxAGi+BBPLSjODWVmP6FgVJUg2CDBFhL13QhXGQfBMvKPbpi5RUf5CkNBMoyIPviqgHhyk6nKnIFFupAAp07rg6aI7LUdSKv0Eyky6gmYG0zNnHIcPIDtpCDJ0Kn45O6D9Bd9eYlqfu8zYXHAgVOUy4GkyrhIjO/ZhyD0xLFCqIfKMZVmOgXytfqPtZh4XanF2EmVdADMa8IF20/cP93j98ACMgcvzM+dMY6AaDlM8k4FkQANxfd6QhiaTXe3oA6G4RxfxgGvCDz+t0GU/vZaIAPBn9q5ZlX5+6uA+HGyrmG2zuFRVPE0GJyNuwpHLut6iV+e+A7dmk1sxwDlRxk24mlp7TUyl7ANRK84LzfCmfbeLiVQTqEiUkSxeK+cHAcMWJMBQWT5XFYRAcFaBpH8SbOq89N4mtJS3/TUGLW32vGnDY3Qsy4pFEOhSC+dtGRKZdkDn17TA+E1fn3wpbFsji6hS/DGxu9lSTxpnKQvfyEhGxL1YSC7q0Ay8yRBMouJwerhM6liAYTqt0Rl1XSpKLQejgQdpVbiLYhon7Qy4LSgkRmO4dTETRCVYJXE4unJhmW7yPCqXGCm7b3V1kUeXAJv0zlnBC1y2KUy6HenxL4n4oFfnRUwuzMFqHM8gc2KCrmGSshUsD1iLq0PQ2zwAoY2XxNz3bGy93REo9IPC7TnOrobTMV6ctDVInCvZJQFgxsfO7uuW5aBDN4EGxw62vDwcmfNsCXiwqqOdB2GUGqEEM4rLDGBXg2k5AVjlou9X+clbIQ4ecvkEoa0IUV89kIIPjyed9Ny/GaLx348kfIDJoZ/DOr1Gcz+sGyxTVTMJD9MFlBeVuO/uGF7o929g16TDYc7WIPiKnSiOA5BF3fys7YA3m0no2DueLs8IJB7KpPISHkDewrCqi+2zVKzriuv1ynlf1WxA8zq6C+vz3jd8vX+NxQueLxcgAJvaGlXKLOz4GR3WNvZywDkvXq1FQYCZuO3bA1fVM9ZFdtCz41bkpbGmnj5oh6JXn6kB+A4pYRaelgd0eny3YLvpvswZhSiq2n98XzMnBIpL5ZysJC2zT17gwQyVmgMFFNI5qHLGKjO/60ZY2RxdCEfKyTgn8Jh5vD4DaOWi9al77viqUqLDcBRbSND7rXAWVtw5m4xp7Ell8xQ7fsrXp18K142+8kF4Zn4w5QVbAHowxOf536eicB4aqqkwVc1zkEqWhx1Ci9533cpsTdsIjLGxSwEhAoZWkMGCY46hSyU6q3iLW5Ysby1Wh70fKVyud+Niwtwm/fQ4b8KUc1YkAPogljovvekPb4LTyEQBJhwFMyynE9vZSZkdt9+T+p55ucwOxkwRpVq2t1yAG4WXLBoKziaNcXagOf2NzNCLozdeTAfFeEJc8nhytdmTUWQZ6J3Dagam82KIVGbuPAwEoVxzKNaQPO61OGyI5QNOO7o8f2pZ4LGjBDUWPN6mQcrNZqBnwsdAqYnRnP47Sg8LGKbT0FJXFgSj88KYzJLIQ2PB9yrPIXUoQ1zxUlcA5JLHCG1K/v3sshyCDYzrPF7MPQI8aEcwhL0bg5j2zhwKX7hOAa6PzBeHmj7biQ9PmCbBb+qjAzsOqmIfA6VWvF4XTHoBMPFpFg8xBl69fo0/+qO/h+vlgj/95/8cj0+PeN6e0fqOaA3Pz89UP+8N2/WKse2c+2RiWRYU8KI+5mlONgtngnHsu5diMXaSldAT5uvtYuAUTEeAOdcrlRd88XGI30IsoRD7LoGjm5/nyHzuqd89u5kjD0TTmEl756kr1qNmP9Nl+FbA3aitmbOzS8ALoUiIYYnE4gWLF1Q2dnpugbWuSHdcWoMJqUjNO+ZrNz407ohkQUcEYBzvZ0JIXCPqgKWdqJUXruWLWR2gCznViWiOK3QGRyH6r//6dEVzpb/Q1nZg73AvEknchDuzRRw5EKPjpjvQg01RHnXoGGaFAFE1qSa9WWnwwbiZLHNxXJ/0WdLIyoHRBqMC6/R1KUfFwScrFaMm/0uR2IlBCVx8nYKbKWop+t1dP+e2INkpTEMzn9x5pKwnoNkJ5wPTB6aWBb6ugAGtbfTcKYbe29G+jjR4FuktEj5wbL6J4ZY6aZtcuK6hvAovvt1qMBTBRrNCk1akH9rJ40Ca8JVnANEPtkWRuKpAXi8wTO+jKZsnT1zb0ByPbcfjzhCX0yG6khtmzsQpw1INNgZMFWI12hBPXjqZXhOHNaCLRWKObAN4YUcQGVjBoVoKSqMC+YWfzlKkGtfsA3moTNOA0Ru8EPaZQ84+eClA1TxBYEFexNu0sclA2ntnl6Ah+B4SM2XHWkVBlm9YIglDWBFfezLMcHSSN+EYLZv5jA3WGp4vF3hxnJaK4iY9ye0wWJYFp/MZn3/5BX7nd34H/+CP/y1cLhd8ePqAGA0//elP8T/+j/8jvvnqa3aU/eae6tIuTOKF6bVMIkmqE+W2ph5jFjp1DuJ1iNO+GaKc87Kiy4S6BbyEpAGAJAEIBgs4979QBh2vx8UwMhEqdua6juSlP9XzZFzf6LU0s7bj4om80UQnNZ7zCkKTrfOscRgWrQOlIR+phMXm7DNQ1xXraUU+PiOCLq7mBRPYC6Wu3QpSO+y+R4yji5/7s/iN8FLXKkcAzUg6L2gD90o9CvU4/sr5QD7h669HSU0cFQ3nx47MdlT7pRQsKz324S80BjY/fx62y7JQxSzXy1o1WdfwNWIynfjP7oUWFpHySbklojE0hW3uyGD4O2Z8H50pyULS49epuatLgCh2I3jgIDD7GAWNaKEopH4a103jO9iLoaS94FmDByp/TmKtdKNcxACwombVEuupwkLVt3NDDQQtIZwsExp5aUELGzxaeRWKdLj0o8qBBWYFaQZW1mGicQ7czAnzdviMlPujMo1zYDHSXEcOVSyCO+xmWjZDWVhN4cZD7+2wEJmmfGQhB/K6aVDrsCRX3wXRzBQ3MqRw6A+G2u6c2ox9l+WJw/f9gF3MCpD9BgsaYb8JfUIbeRg/4dBh36MfkOiBOkgRPZlTAXYQpBBDFwytDHZdenCgw9GSbBOzSs3MIfoinEI4z46QISFKUpJzJuGFs5XeaasejXkbp3HCddtglsS8Za3BxUFvocfnJ/zTf/Y/4M9/+lPc3d/h4f4eb96+xo9/9DfxB3/wd2Bw/Of/+D/DkOcQ6ZjlgIV4muKAP0cM1KK9qTuySyvD4qLIFgUHxp8Apt1NTCq6ZmXUvAV6tOPynZXyvDcmRJtJkguManIyeYBbBoFgyeQ6TPDAJ5GVZIchczi6FusSPvD7CStyT8913MdQocjLN4P5CyMSd6eF1NakpY2XGXI10DIoVJTjMlXH8rwyJ7wDlZNao+5+kFm4hu246KFntm8bai3UTdmNYg8xo8wdIxh6lJlY1xWndUXxTzvuP/lSmJt/gi2EMoDWFLCjSyj3RC03CAmQICNY4XERQc6UjloqenYsZUEbDYACLcA20OAyGNFgBqHBC8vmGahhlYcYlYU3aKoPydlF6pnYmgGg+56M8qBkL1XVre28nErFZOXUCbmA0ZbTs+XgAjvZJIMmRTfmUU7Gz9RKJNbzilJ0uGQCQ1YHxgPNzRCFA9BD9u882KD3Nq2850VXysR4TRUXuNCM3UUenPqC2DpCVSlA8VwGaMEhnUAthtNyh7UCp2VBnZS8EWSZhHyujn4YtNBIhxdy8HexKpBAtg6mVk1clQ9oqoHn/6bNBXMepFqX905HP3DoiXXLwU90Qa7Hta6gaH1eZLQuN2Gts/ydzpLTH2tkKpznBVxSRFKYrX9q7UjbQLycn3c38tcjGY2ZWmdzkM4LVTvJpY2Y9GJMLx0cB8GEZgyA1arDmeloT8/PvOCio9zfw90V70pIYUIul+uVM4KckCNwd3eHf/uP/xj/1r/1x/if/tk/wy9+/jMGxOuvFKPwODD1Oujw2g+YBwCm0GymGvKZ+iE4vPH2h5iL7GhjPmPdIYcKWc8HgKxFDK3NC+MG3ZGRZtpvmufEPHQDSFLih0M+VRSl1nLgtVqA+sGzDojEJMFNk85I5re4cebR245SHHcSkJmFBJ4AfMcAcNk7LmMgRVvPo79hcbB4PciGrmdR3HA6reBA3gG8YM85O4QxuAf3fSeRoHCQnJM0EUF6OEgY2PeG+/MDad6f8PXJl8JBorcJUeThlniwDXQLD0/UOifsk/nB3jCTqtzqFTkG9nYFqsGXihIFITZGUyi8eSLTEabLQBmnKGKySFjE25IfsiFh1Y7B7siB6IP4myeN2nRAOt8KMuXxI6hrHxweLyC0wOJS+CBYza624jbQBeaAGC6rBggXdFal67KIiUGfGy+uwVggi6FCASNWGPKSA5ODPbOqSynCuHFcCHPwXKU4vaGRbBmnUC6DA/VaDNUZ3OJTTxGJSOKRtRZUozDm7rSiOF0hqxWMvSNjBwVLVRf9DBTiPCKVZztGJ7Be8mjTp9UFv+TDNA9b/dvj/4MOrDAQyfdZGaYukwmT5lFh9yQUMMSayjFQnVGMoHwVk/lC9hcH0a6KHrhVp/NGze90CLwwhy6gyCkY4toJ4zwlyCI9DtQZFgPMQ1OQq2jFRAe5ZspxORovH6lzvVZ91qy6L5eLPLbi6O6mwMmrH7CZxXwVQIyGaBRE/fmf/xRffvEF1vWEu7t7pDr0OTOInrKqUfGhziFCxI3ZhQFA0jH0+D15s1YYwvgzb7DT7Ui5dfWs7IfMFvk9/HMyYuSvgeyIZIJHUCdT2kdlmrhNN1F2tV5uWqrDkhtxfC45qXTzMxadVhUPkQTtDzNDN+qfxt71qY0D5kvwc8tSgLoc6xmIY7ZhzjdX1RF7TjGrYetEO2DAZJHNWdIianhmHJn0A9MLjoJHgDO3tawY2XC5bFjKBa02fMrXX0u8xiqJ1hEZFFXAaa2cwufNDeWIvKTJWy31hVKSNxxc9EYDMBJtbCgLA77H4K04smGOHTnL5Ifty3TY5NAqeudgS8wcQk7E3Uslrt57FytBHjddal9oT6YW6BzkiaPdwYuICE0ekAuM1WHV8Cd1uE+8WU5KvLOMw9HrvuFOilTSZuOoQmhAVwSxcONU0LjtxqK4fU3uMn9HIqIf0EGmpA5JL6ruoW6e3UWFo1bK5DOolkQw6HypFefTQgO2woFj2g2CSakyM5PtsjacDQYvjRgYc/EjbypmCDJSFTg3Y1d7L56CIEGoaovDumPw1Dzw8kDOkxjTfnwcbb5hNCpaLAPrqsPfABhtJKYginRQfga+FKSm/pO9l8l8a/rdSCk+OuNWoU1ruB2YWkcT/pjGf0U+SVBHYS440BMIeQjpYEiYvt/pbRMTAhT/3vi5DKldCxJXpyjr7u7ueEalFFp1CMKZs7xaV0QM/OVf/SW++vWvMXMPeuxaXNB7siNg3l2wpRVYobniDFq66Rem6WICQR+ySbl2E9sqeRGm1u4cQmfombsfmQkGIz09lXyGaXGiY2PacReJ4hIM90qJEwVXZQJeFkKzJtuZ2/313a+8PYCJSBBGYhdTVMylVyQCe3RqGLTXUUwXg1OwNrt8fWaTbmqgI2ydRnqdeRqHQFLkmcnCqgp4mv88O81SFQsgeD91NrVBNugIIheXbT9cZ3/T16d3CnbrFKBFPd0Hx4jjeR7MALkEmoXyYh3VK43S6oqlVFVtKUxySuxpPj+7D1fVjYQweKD19qJKYcThDUZR+yga4RisIGB+yNwhnjYr5zww5hmgMgCkBm2MK5zpXhpcZ9DDBIHVJ00sjps9RqLUFH3zpiGwyeecm04A07pWWJouH1ZTxV12CMR2Z7LS5DgfxTaU0FSmqE6XgpTOrE5M4hwa0I0wrAtkLDYQGMes53w64bwUnJbKNjsGX4cGn7VWWKSqk/zOX8dinxhJYYs8b15SFOfQa9qri3Otw9A0r5isE5gCTgTxzNvjJZc7wWSwSXk0TKpsHHCNJ0WRyDm34s+q6gQiAsPaiy6GX2TC9aMjnhhz15rCIThLRHKgOKmm8xJjl6bP23CzQhd0ZLMygUn8xcMMGoCOJsdRc87qxu1ZbNcrbNTD1n66js7nM5/RYe+QqS6Kn2fvHa9fv8bXX311XHjUaEwaBwvC0dllAyw4al1YdL3sVqFhvfbvsjBgp811Ni/M+eX0i/IJOXE58xLTRcaMZP6HqSMQsKhiwnhxCkoinMt9VM3JRgRzoa2+yCaYZxr4u4vOspCfVTjnPHGscy29TNGeJTiUf9m02+fDrjCXd7I6c5NdiylqFPOsDDoR1KVqjdNKBTYzE8SWmp+n1uQsQOc8NGd3qwto9IHny5WsxDBUb6j19K854G9fn34pBDCb/Jf/PzG+VIV3mLLhxYZIBpynJbLQpwZyDC2F7dNSz8TOBvniTV49qpcOBk9y5fHfu0uJ2lAhu2q/3aJxLESJTo72Hbp5J758aH8lipq++azuiiqOWzPHB+LmXJSpStyAaP0QB1mhCyMD43lI7a2hBnB3qmTHIujBPgIY9OnxUrU5aHnNYA2H+61dJxQjt8hMHCFAYljMxT8pqWNQ3Vp8Yrl5/GWCtk7rgtNamaMQnbkApxXTdA86eFCUGRE6dFIMKHdUM+w5R3tiqAiCs2JUMBs33MjEWhdhwWKGpFTi+kzKPAxBfGAecD4HiXq/mRBlOm8kCL3DSMPWBCEij4MM4FpMkwCu96M4sLnCDdx8IFyUCcANJan3mNAXZ0N6ojkJAH5LORs3IdWs5FvvcEuk5mIuKG1WiKGfEzrED/2NsHcXBHgZtFdZ1xWXy4Wv3GQsadLmlJt/mJWKTPls0TiHQ/YRokx3zLwGw8wjMWY5zN7dTHj7jeWXGbRkcDHZ1D3xQlqACLLhkpV0KpSoCq6a7B8zwTVB+3L4bQ7B96ZOM1lYvhxmAwr2iQ73hcVfTgV2YhJ4Ezj2yFFouCjwR0cGWCoSFlMkWpDGDIcpXGSRwR86SQ5eFpgxU4RzeZ4f1BFRVELhq5LdJDDrg5kNB+vt4CcdteTRqUNFpzvkDE2qPb3pHJlDmhR2XNf9twwfrbXwoMYM2g75/jh610DG7Khoi09WOge0aYkUtau1jZ1DrchO6lxNDkGKHlqALIdEYh/qItQKTYEWWUo8YAzC1LPyoBycIXgyfGemxnlxeOWiGi2gwF4ADKPoo6FYRc0kZhfi2JeCZVmO50Evoxmmw4N2DNoBwwxtBGwkrFO5y8WeyOzAWhFrgaJTsHfAkgyWnkAJ+sJUp9Lbgo1z+u19A0GIzKVaGlD1TUiKzDAG80Qk1vOJVUXXMjZqOBKMKbw780KgHhMUCroByYNrXcj2ip6I1Bwn+OynaIgOqLgF8EhTMoZSwCBjPWUsm7xTLHlZTCpqxG1tpQ5pLm52GK139GDKnk98Ql8tGnrqcnXCQXtPRDTCdcZLnElvpnV5M3ScamBaXch+QzAMwIowYla8c34xk/l4m8xOZ8RAWjLrOgMBXmajE+7jBVU4TNelQWM6wx7TXG6GLYkRFoP6GCnIpwZlawN+2dAD2BuzMl49vBK9lbOrIaqxgetrEiyW+zucX73G4+WC1rqOITLCjjhK5SYEQBv8CPS2YUE9vMMSCVvkkQQq3j0NxRb0DF2QNxFaAGg5MIY0RbrF0xglOtJgRVG7hfvVAGTvLE7MBJGMo8bpQ3TyxRG5y98q9IoKWgwshTT5vTVdppUeUC8v5DHE5mMiXTfOH8pS0AeLlxEda63qRA3uiy5AUvWndfWyFrSxw8EL8HK5YFlWvHq4x+XyRIhyp+X1tbUDquc+59lXSz0G2ZznrQr6MmzXDa03WZIASDvICWTrkazxtP2W4zijNU7JlR8bDBw+2nwyBrlJrVZYtqP1mW0PcBuORib20YiLRofvfGDLsqAkK4/W2o2OBX74Ex8tgjsmpDO7ABY0fiyw0CJZihxb3RCq2HG8NB5Srfcb1KMf9pL37frnCSUU4QJUhVJVWDBbYfLTu77XtIA5yA20NqtJ0lRrWVCXebawSin5QsI0WL2Z4bDDSFFhD9O+NLF+iP+OkbIvf9FeGw74hJekYVkXLAuxTQf0esox0IIJzlO5ZqruCmS30btYOKI85axk2DqSQ005fziPjCmd6INrZ1Z/bD1ZpR/zg0hwiH/rhCbz5RAD+YTo/MhguHny4MU6IfgwB9bMFNYagR0XzKSahmjQL4fEB0SacXTIsBc0ZjMA/IxCHUEGLxrOEqQ6Fow0NzpUIXKwC2oqMLudBMY47A4m3JL6vHp0wXDcg9vecFqbjCFZVEyYYyqOzWjW9vrhHl98+QXevX+HrTX5ERmQCoOHATaOZz7EmBu9Ye87Y1SdAUMQekBCSIPbzTrEZG0+tF8TecxcQg6jyOmuOuEgKe21L+YmDz2v1Hqca6EcxIw89DQpykdXMp7haCoAo7fVhJyMHwbmqTDT/ybCx46ow4xQ7AzXMWH6xV10ep4Vy7pSo7KszArPxPnMYm8Mnm/7vrNLbU2dqXQ9/xIcON/nhDC3bcMA41nHGNKNie56CGNncW63bJLf8PXp3kcZqtBFi9RmH2MOPrh5S6EdQeZUVvLGnOEvRf/uRuPkNH0u9G3bDh5xUXU+hywAbmIy4Pgz0AfqwC2GTpttLshZtbkVLHVm/QKtUTldC9XM27YfC8z1wZZSDvuAG38/cTqfOQFwY5vs086aC3LkTfQGMBSc9EaF3biheGIR53ipC2EEM4Tz8DbR2aqyp0kH1UEijHjCaokXSWEx0HseHOspbJsV2swaXteK8+mMUhZeOAYN8V3wncNeDIu5uUmDq+ZkoWi4fxxKqavM+O+K8E6BP5jWHyKbH9RSwfCs0sdtAR/Dff35Q2Bls3Kag7bbUG4KIKE/Bbsd3lStzzkYYZWCSf00DZD5FWBnRn8awaTz900GGPgHgi9KZwqJCjn1OMauacoG4XZ0vPypQA6puCOx6EKca3FejsegURdo6oCY6+6g+pphWSpOp4XpaGYqGmiJfYg6QXfRzz57i/v7e1yeL8eFfqjV3ekXBHUEk1bsjtYJ87bWuXiSNPKpoSkFqJNe6Y5onRBJpZCwKB0sIo+zZMJTszCYh3+qM/eckMosdvjZTPO41GK3FInDnY6ux0USU0zMz+0omvS5vVg380B2Vf1W6L+0mGGpC5jtwr0SYxwz0FoWeK0oxdH2AYcftiLTBnzOYWZaWiZh3JEBW5YXVtmEivd9P37GmF2v4k55Rk8IeRzdyk0fceyE3/j11wjZqYBPRfB0jeQNO28oLtwOK7cH+fKmm28yXvwMm7c+5i18qwKbbsCDZqefNy28W+9YlwV10QAt87iNj9cEsCIXH38e0qXODmQ5lBfAjR8+c3xfvoehcPqb1zkhAOh75iyiMKNPxlQvq9r/b3v/2mxZklyHgcs9Yp9zM6u7+t0NSAABgiIpEqJMY6b5pDHjmI3+/IzNjIkGmQhqIBBPkupXdVV1Zt57doT7fFjLI/YtUOhsM3xT7rbqysq8eR57R3i4L19rOQPvHIEYD7GzDM/PJ5q9iM1BAREDBu0CaI0sWqfYGKvxlIkzT4xgKGNTVI2x1TqwlSlvFSqD59P9De63+9rMZsT6MSc6ulg3sZqU2TW43hopnVJfW/h6nnWlq5XuXhooJIzTpiLWoJSoASVzLNyYByAPxYiiLTKwAbt6rKpkNdi1TlBqd+larCJ38jN4fR+od5BQPiloKOoQ4C/px++rj1WJSR3HRYIgzKLPwwW1qtEZhDTLwpgHLFATwijSS9EhAbNYMAnXkJ4dsL5/rXGXA+9jDOQLXYdbb0h7A+8NvfPwyUzEeBDibQ0Wgefn92it4zgoLjSV0JW0pfY9ABzOqXX1PFJMojkDL+dDquqVIqCO8khQR6JEKfng1iFZSYFZBe1C7QWVwmAX6+ciOlQVmwhA0/yQdPP11ghhaU8TllTMqSSv+graTo6tCjcz9ExCzL7hIK4gHjYxmNy50yqccYx/xRB4fn7hPOwsFlrD4/FYcQQgZH6/379BnmH8Os+T873Pk/PUTZBiakph1vwTX4QZMp24i1Y1BSgg/Obr420u3BdPewXzkFDsSkHUzxS3nhABM0kqGqsxatvQLQGX8VR5qNQiHML2VhZ4HPBz7IwCDvSdTbBnRCM0/vdYOB8znsGmk2Cm42ADbAw2YXYJVvZY3/zOO0ByEfur8rUfx2X+woYxkMSPY8EshFRoJCjPo4cYM2ci84EZYx1KfH2szeMqaYuTT/Vzidb289EEIQXNqup4zzlTWfN5hemzUWYLPqvZsQA3mt18kQkyAtaJs/qcmDZFxHWZ/IlZJjfIgq5KZBQJNdY59KQOBwCaG62wmzsLAzbF73pdEwpadFSWKfGUDlAUhNTZQI2xFbYM1kp2VvRVHm9sILJVzey51cFcVGzUwacqKVkbcGRt6LNT9LY0L/q8NbkQVt/BUMymalzVs5467dc9UAD0xdIKPD8eyHfJ6rgZbkkTvBrI0sHPMCLw/sN7fP7t7+Dzb3+OX95+iZeXUhfzoINjBZ1ZQTs0XKcRjy86LqygGACmgUvnWM8j9Xmrap2V1fumXc5VEenAreTuIkrd88KBdtAIcWfM3Fsp/6qCfV1rwMwoBFSQrvvopjnjra3Xigh6gamp7p3eV+fL83ITSJFjKC5Vb/F5CjqUD5NgndYOEkFaWyLdWx36K1bGQkEej4cca7le+nFQmazeko+Ad8YyU5XvTmt5XntP1Xf6TddvZ3NRa7BoT/I8L0fTyrBr8pEbH/DQCQcF0XownIhE++FuO5tt10xK7JlSP2YCz88vMON0ref5jBezpdZzY68Ber3CdTkom5hsBb4xBoVVqqp635OKusZCXuGfWjxtZSw8GEpF6G643W8b861ApZ/2NFgpoSHMM6cCb4izntowAWRHhmGKwUPfmDoocvOaAXg3TCt6bWGPxXd2lMU3P7pJtblZHb31dRAQwsJmxGhxcfqWekIyCXR32NFhYwAnG+0du+y21ATkCjCmplzY4sG7FVNH9yXBwSdDDeAsnUatLaByUMbuHSALFqQOwlbWW4cStCYLgljNxcUnUdWQU/AZD7emgSyFdUeCgdH4rFore2TAai7vTNQc8DJeW83zuida56m1W1UBp5TRKrnchZc9hP7xqr4EEaQC4IzAOZ6XFXhzQ+Qdt/tBeGWcOGSkCPBF3r55g9/5yU/wi5//AmN8iTkeqp4ShrbuZSbZfmT3kbc/VHVEBlX5wKqyOUQqdsCG4Ms5V8OeFeO+N1UJWzOyo2Dr3pcIrntfTKcSA65elIu44DvWmBlSUOVK/DIXhJeXz1AJV+rP2WIp/zLNem4dKbX8bpQrW4dhDHor9d45u8P3emudhJVTXmtHb3h5vCjeAI/zIc1PLMEqzGTXHlp7svk/J8Z5Ar2jtBSxqtMNGdca+Zjrt7C5sFebDyBbpxZl9QFCtLMmEcd1Jmr9zMoIBA0Rsgj5CxGvrXF7zBzi1WdYSl5lK3NSXFRme6nXWH+nFlqzJVJDMlusEqspOKzvK2EOJ0ep2tBQoMq4K0DRZZEbdoyxfh62A1IEDbdcTaTyY4pJqKEyQ2vCLIxUNkNhnsysW7+D9uAmGlushvFcmAUXV8EWBmWQsqU2s+VSaTCMk2KOqoSO1nEcfX231RjWvTaQ+VP8fh5KDZaBPDV6c/Cgkr6MsSeTFF5ojq+osaUVMWtwT3rrZ6yDtbfbggjMgRnj8gwEPVa2V3AA2O/izGwscSGzxr50G/XUsxgbjGgLSqum3wjagNQY10CK/VQ9hN3ParYhrurPVCLA78kM+DxP/ezuPWUmckweLNjT3qxXlZmXNS1BoJ5pIJAjGfz0e+8/fOB3ahD81XCo2c192uGW+PXXX+HNm7f47LO3+PLLL3F/OthfAJBhr+51HW5mRlqtk7I7qprTfuvh6x5pM3Itb8QGUF8IsPV3YbY0DsVgi8w9Wz2T/Yt65m0HTn5OJ6ziXOectLaps1fyyDU2WWsrnnUxDQl1kywA9UV5WAcQ7N1B65ixTpBzb1XgrX5EPWPXfQOAcZ54/+H9mp9cvY91+FciYju2LZha38uU2ZV9R33nSj5K11R6st90fbxOAa4vzw1UWGfEa+51lUFZ1bppMba2ehKPca5FQLrcZg/VQyuYpq61+ZGv3wu7LFrzVIWpmqqGBNBywLMpZhoOr1ergMEba8qExznoYXM5Xctc7QpfVPDnnORY2cUr1tScMBiaH6+CHUu9VKnuKPdMwKl0Bo23mvnWMjAN1gP39RpTkv1mbdt4w1Yg8H6w38KbSfZQI4f78ThpTy0LjdNOHAcpcC+twXySnWQ08SLmyTKbPkAOa13Cq0YqL5JQy+W5kkWiIKrFUdknNwwZKOc59HM8dMeki2wiZa1eEFz5EtmuJKF1oSxX0XH1FBjzWcoz56+F+homrLWaQ6IwNa8LyqzGb5kPurxsQgczDzNSCcv4bs3H0HoykIZqWluENBu80T4ko+aYB717oJ6QkPgyGaxqdPWunNBnBIfIf/jABvPRGm7HG9ScEagimxb48OEDPvvWZ/idn/wIX/7qC7x//x5e9yAmoO9ZvUHi8cqqay+0ssB2TitzGXasYA24TOAqsHvv+5nk3mMV8GcSgir7i5ncF0VvZUZSn2cfXgax97x6l4S0vxlP1vcB6EycQJTV+QUpIHEhYToUMoYa6Lagc8I3Dg1mvhyGGqhUTeI6XEBn2kRuKHEQckyAsQisSCvJbXq28GJEUYeyHXJVkSwB515sNUfkN12/BXyUC0dlRizfIw3s/ubJq7p/Z8sVPC+nnFtffYbWmhS7WGIvupbrNVUS0Sk11kMF1O9ILFvdOalUbr0hz5OBzHFRTBty2h7PyUjJh6LPFoiluOb3D53MvOmky9qCDep7AViHwu49sGfA0aWAySrA3GVHwewVcNEzXRnxA1mB1RsMwkhB6C5C9Furw/Tq159rgVQ11suHxSDOJaGPDOoQWms4TwrixqAl+eMcGOMB3TaMwcyomGGuDReqRLhwaxCQqcEv/ykwr6gMdwZ/NrMC5qUxvx8v1uGdgTkfq4Jxv4i87PKzWbh3CusVHBD7derld0UXKwAX1Fl/fsViN47vSlYlFPPXTBn+mu8JVXoF71SwgQ7K1hyVetRc5Jw8supQq/tiBfkBi+W27E2ABXdlJucQG1XLH95/QHeaDX72dJdPFv/SFb/+yU9+jJ/97Kf4+utf4XZztGywfluMpUwJPyGITnz8SjKO+4Gnpyc83Z+ACDyeXzDOk72HMfAQRZqDkRSwgUUV3fMEsBIYjt6Vj5rSg+PW15Cl8zyJJvqlKlFFZlnJG3YFiA1Vk12lpGLyZ8cYQGyRYyj+1WFmRriVsYEHMyGp6pdh9X62WSAh8FPsq0xW14vCbKZqnH1Fq40aeUkifVHWGxrXXGJ7W2ndm/ZdrVVCY/ug/U3Xxx8KszbV/sBNc0lrE9acWKpEX5/Kr76YEWsrapbJUqI+chrhgBHbcK9KsYJHCJFs2lw1Q5cFdGHwMpVLQe1uoJr2nGjG3sFxCfb1fsu4ynaDuXDGtelNZ3q+rih2ZrTvwatmdD9QvLeau2rKqtiUctn9+hLvzISsK3g4WwIzh7K+WNDFrtRfVyq8b742oVni1joyXVkGn8exfKX4HGMO2MGfNwMOP/gQTHh+BUVNupqROAMLN16bXVgvHHQESaOLKRoK9l9zKRKCauq71BozPSNaekdUFrrvLyBqazoSQ9k3FAz2oaNW+jo402izviAcsY/WxhL8VKM9ly9/QWh51UKoYS2WFZeIBHl6LhmxAk/N3agDZQbN5FBBV3cQ2gMmDYRf1hRE27WuaJpkyFjBDnPi+cMzx9m2Tkz+VeMx8dVXv8J/8Ts/wX/9X/8zjPnC4Og3HPfPqDpe0ChV2kXhhZS+/ehkIB3EPUupzkopV6CcCTagJWiEILeqGlv1L7ThbcHW7GFUsJwpGBHrlMSmElaze39DW+/B/541CTGUrY/BjzOVuejQSR18G5lgBVhBOJLoBz9CYMxYtiuZCRGjFhS07bAdEFUZsan+1nw31fXfreLfZd15koYPETAu4QZAKml6TW3+mOu30CkUFapEFfwnLgGf9FSHtWpQKQqrlF8D5+3CTNHfvVJPC/YpbcBqqiTx0oa+MjNmFbawez603XPgfhGnG3VAMZjOlK9N6xcsFFJo+mYtLJojVo+kmn911XvWZ7r2Ugqyqs9UeCMDCAPhxlUbm4xJWuJ1UYcye6rHi+tiMizbgzWqeVoH6BZ7zRWQHIl2q3LTlrnaZl0k6O7Kz1Te702UvFJ8pu3FmKAozI6Gbgf56CaYo9aDVTN3B/GQr33du8JXF5UwqynPDTGEh6+AB84maL6ZYLzXB8xKVLXnaZfjryuRyJQqthHCWomIi+6pDbxsJuoeWtGT+Vlilk1DVXxNsAGzP+ge8HB0ZGt4errvbBeQ2hrAfc8iNjMs12Pbivau6q5+30RNLALCy/MHJtC61XMMvH//Hjc1S2/3204eE3g8v+DD83v80R/9ISIf+Iu/+CuMaHAnccOqyWp7rgifpUwun4FTA2XKxXOemr2chEoCWI3WRT0NYufLf0iwR1EvF2V95ooRVWmZql5WLil4n3+WvpM4rp0d2OMVTRuAA+PUTAnZk3C6HzUeVvCPhIxlb0Mh2VgVTkIkAdGKAacXmKpod4ck6oR3ReSIDK2LJjdWrMzeYav5bbmJMXUWbqRmFwPVv61T8pqg/qbr411SwWYm6VD68sK6yj8okzMJuHB06iWDMgORaTAH6WKslhjk9kxVrCwMKN8fZn9VwtVNIE5W2CLFL5m0vK6qphpQlf0l+G9vDTH4+Z/nWBvHvOExBrpw5JYJm0VrpXlXpiYmOdQcV8ZWQUzjC9kbqeDP7H+qaimslR70US+mLLmgnUvjUvetTMiaUeBmSK63NE24qieA3YwqrYhyLwQpqBl1eNc+MshZi99HtMVQ5ZdIDgNaZIKm4H5l1ZTjqTjs0GEh3yCzXEHW9HyTzYjF0DiOdql08tWCrilZpoM0yorESry0hXBFeS2qac2iWAcTAAsNZ4mJM08ap7kanTpwzFkVT61zXBKArcPBOiirajz6DWbGYHM53AuHbqqOzseJ85S+ocgL7aAWQur0fqgqR2KMEzMGLc57X3+HQoe5sOtqWNZ+OpHwx4DDYd7xLTdy3FV1uDt+8bOf4fd+9yf4oz/4R/irf//nePflV5iTLr/MyR3tduyDVN99zsHmafNV/SHk71NJnQLXUmML9iDCmDthTO3xda90f22iNWLjY9JmAvVMc0lLUPAgxep8XYohZY9tghSvvUEHutGws6unU0gG1pqfmOPEOE9SqHOK7ELG0fIbW0neJaerBZCC+AI05EwJJFVJFHsTYToATJRgbA84I/QXY657uHPjikfaU4JYUgOyPub6+EqhJVTva1MCjr05YLZuQMwEfDMlmjOTc2WwS6DPc2PxdkPlER/GpqduawkujqYys+a4IqqfgXWD2Acn1z3F3XfiPTA0ONRbyKxbyF6J/FWiUTLvVhkeYHis7LUq74LBGCD8Fb/crMmplYfKzCGFtYKN1K6rN1Oe8VDT7CRVlRjzxHHv6Mq6FWqRSbO0QENvhonL/Io6RJYSnUHNW0e36i/UgRrIMYpLsBaygSZdUEl/TjXcZKMRVaWpcskQO6iCeeMzYC9FkFTahlUWYwrw3NDKjHNnhKYqQJhys11R1nCldXBoHboSEYNJRAi0lInban6zAWvqyzw/PuA5nnX4bVYPQCsBIHdzPVOHXb3tFcrkUCPzXLTnHQxk4KYgUFUXD/fN1hvBw3gO4tIvL9gVqnOTPx7P9aBWAKv7uXp35mtfenNYa3iMia/fv4c1x/244dYahWsA3n31Fb784gv8t//qj/EXv/9f4ssv/i0eZ+KcgPWOlzNwS+i5AxEDzQjRjnkCo7xaLrGjEh0Fy8UMBJXkFTqvla7IxPxHh8JjvqddfarSmIUkALg2VtfBXbHF17MsEsHqL1ZlYpoVDXkbxYANw/ny2IwnALEcXwUpQT0ySxkl64BVgEfsXpu7Uxxnmz1mtnuhqer+JltuQJRU6UsgfYg19obS9JrWdJDaGkrE6ZADZoToivr+MddvYYhXQ9qnnjmzQr8IUQAsW4maNsQGJDMWv2R/MJ2EF5jmFRUrNyPpyvkHjKVbnfZVBaBwswsODCBzQxG18NZBhgtEoays+yUHJlBpAACNBElEQVTzy7ke1DbVKvYKT/TWTsFLTdLywg2BTBcMVVzoC/c/cwXggiAK5mmNwY8HDpA5KbjTwqblsgbQQP4sHoD15Sq6g6QokLk3BbNssUfqdHPQix1Q03/icb7wM9T0M93gZm2xW2oO98LhddCvnkxRPUM4apgygRT+uj/XZvXQuO3qIT9Nk+KselF49fzq+xa9deG/qh4AVWexN01movdjPTcOYeL3GidttAkT1mriEJ9aR3AXY2sfSgp9mHOQ2SNPGuj3M5J+TJF7XvnSzUxEDB64MWWxUVngTnzaoeoY5aO04Uti8gw+VcVkJuzC8DvHwPj1r3k/vmXod0NMw4wT2YC//qu/xj/7p/8E//pf/2v87Oe/wv/2538D97JaDzy/PAM1kjMnhqsmTFzEmfsQo6jyMsTmcqeqz9AWzKdGb+5+SO21Waw2JuYobzUVf7pfjClNa9ldrgBFBKiqG9jurkZkY47E1GQ5BNfOeHCwzuq/rH2lf2DY3kj2jf5nxcQ64oBdmzMOGlj5W2riH+jrJv4U3IFmWyhbVVVE9V5E2AnS1KvCrorKlMRj7jv/m66P1ylUow0VmHIFhcAFEzZBZkkM0mZVDG0dHhsP5JfgUa/fw6YMwi4/j703CbbwxK+AXmwXF9TEZ7If5vV1gG/0BoB14G1cev+s1bHMD4RyIGSGPVGGbWZjHTZIQxubVjuDPHIknTArD6qyfVZTsu6DV1UsHNpoNTyqSjPAnRbIJH/uz1xumMjLgI+C3xIgL77K9MrS9gS9sv/NDBxH48S1KCoe1rM4jo7b7QY3WjjD+Zzn3JlfAvRq0pCZOvQNgntsZ4jrfpujRqru5q2yRwX063MEXh/6lbEzqzbUCbKavEmNAHs/CYB+V7eDhIPmNfxlooC0+ldG4dy4ZIFbcDkESXrdgyCWvgRTgsoADhDavSge0JGsJFtz0hWT9+NqJZNgNUDMuy3++fVQSMdiz1S1VftnBIMuJ7f5UsNCh+KvvvwS//ZP/xT/4//4/8B//3/97/Gf/tPP8esPzzjPF7R+1yEfIsaCrtCCY0rUWEFvLg+rWnuXfaXKiRm+Rt5KVLdEiPU6ETjFUJvFrEm7WILzZOjHTroqNaROoPpTBS3NZaOTZhjz3IlaIQvqty2okd8CMCy/I4Fel0MMSnax1iuqUko2nysxG9I1QJW8V1K8msn8LIyv5dhahxPoGhBkPJmbnJaxqq3ebzCTngKv99jfd338oZBlbKaHmXuDAyAUU7FTC7l+gwfJJXvVrczcWbdB2ZeYHKhS73KA1JJKPTcDoFR6+6KYrWXHoG8gU+W139KVrrWaeV5c373B6s99nd6vl3VNnKvfXWV8Am3uQyENqCE7tViqkcWD7fJZJGAriMxVJiIlQFOWH8kZzmNOil4U0EtMY35hQNVhhYL06j5Ulcd/6nC8Uj5NVMb6HnUVnKeKXCU6liHdggO8RghiNed2E34H8aoOm7LQej7VJKw1VAG/KL+12K/P65olryy+7Db0s/Wsx6Do6vHyWH+3Mj0GA2WkUZh/rkCxkota37mDbyUYr5Mg3rDUml+D5Htb1S+dH2wF/cWQUrCB2aIcpujB1+qnIvyriqld5lKItRIJfPjwrIzzM9xvnVVnO/Dv//Kv8af/7n/Fv/yX/xL/9t/+Kf7Nn/wvcANinkhrKGpnJcRz5hp5ufb4BUG4VjJr/ZivezLGQJ4npu/nBtAnypQ8OLporCJIOJbxWxnNHcdxSRxyNYLXaNDc6/J6v8754MFsNQpUCWelZZnaw/WslYFrD9nle1cxYgBKDVNrYK0Fd62rYkmZvqPU77WIKombgmSti14KIAMzTEmE7hsgdEYUaJ0h5nvE6W+6PvpQuB+urjrpgPTLBzLHyti5QIjjNjM2kwv3F2RQUEsqy84pWMYpYuPwEL7nUnNe4IXQARBQj+KSxS8MGtgHTewqZmfN9mrh1aL9Joxz/ZmwiifXGytcUAEsItDNILEs71VVM0Vzs71Rmnf4Y1wC1K58VgPMpPZ22X/nfi9mYVIvKpsg558LrfeO83ysUZZskHNBjZxA0r0RoMFYMcsSiTPo7z4xYVGH398NthmxBGq8JYRFGhj8RobKdP5xM9seUAqyZJe8rs7KtfUVNCQ9gndTpqbGuoM4e8QSsS2n13idIWWOBecxeHA2wXHcMR5LREHcWc8gZiBcDUBZMKw1b7I2EATS/PKMJqu13vb7maoMZsiqNLVOWfw2WG+ifnbi3KvKJjTDSXl1zlem9nfXDvU4OxjJhWcnKpk458D7D886ZN8iG/Dh5YERA/+v//f/F//3z76Ff/2v/zV+8cWv8Jd/9bd4edDaO4zzqeEczkMjyIKKdrN93+c9qa9+/+plBCP0HJCZJaPugjizmuIZq6qq70KUwAkrafPNeWJqQmMd3KxINgtx7bc50YyHC/cHKwRCj9WrTFwp92NcKtgrhFmvq6oolBh6I/vNPLffWJ0cl6SSMLt6ipTiI6SkdzegiD0AUiBLQIkWKqHa952HcyXV/8CN5mqPZueQk8MMYQ3nZPc9dTNTQaEajQU3uRnCNo1vDtK4XI07umZexDsKYKnMCMCib1UPISIWfbEeev2av6hPvxdiBd9XzUm99lWAtt7vsoiXdLyCFGwjhLapkUVlZEZCER3FaNQL1HuteRGohrcOshlaLLYapkAienuVmRf0VKuLpWNiWQf7zqxr0c5M2NwHI7H+xiEwEdCsIwZqNfcJY7DfAheLRzG8spK1CJWo5mRJ21vDXPOwebKWhcljPrZ3k+8FXc+APRXSYdemU9Api5NvPvurkpzNNVlMJIPOHNIuaCIXf91XBbyQIpaha+1kzCUco1WBL9FYwQHmWJbfVs9ExYlnYjweAEh5rGyenHWy0DjFzdf3mElH3RQ3v77XnMkpfa2SMYpwVhX9jcqpMua6zsHZ5xFzJU4wsr6+9fYJL+dAwPGLL77A//Rv/g3+b//D/4D/y3/33+FXv/oaP/3FF1Q4R7HdABjNBTF1yMekyBFATVbc71/VNvsctTYPid8406StyqyU55mX5Aqh6iQAnPr1EIzLa46ByLKVyfV8XQfiVQBrqHW7ojR/V9k86diEb6LWhu0uwTcTV18VmYKx3p/PPXUIUNcF7Vyu/fUOMNs9kzXjRR8tr+8r/Q0hq5Q3Wlt9CsYKX1X5x1wffSg83TlhybwtPD/A8mSGi8srJ9URy6EQyo7MHbcaiqMg56ZRgQWgXyqOSJa8xG+vDxALF6xF7xKA+YVLzuwIUp1+o4L4z1QKdUhsSILZWP2IrZKtmmmAYW80rbrVnHQFKtH9wQBT07JI5UwZwSFzYdWWQIoNw6zBFqrJB16QjS0DuZgBqFna3dfPpCiB7P04rhuS96aym7Ln2NUKoAZ/VGM7cQKY52aVIRM2sO4bx04GmjCFMrkrOOiqoXArJ1RcFmtxx2NtcGZ57F9UwGOGRmvxEo5VRrSeFYravLO72lDnOPUMNow0dHD55fsXdl/V3cKI609jvqoqHdsQbdkNGA+GOUqLYEDvKCQrV5JIAeGIqVkbgmBh66Dneg+RDoroUcyaS3YoSKS3b1bkUGIgkz7N/B5z4vn5gV/h14iYuN1YoZwz8bf/4T/gf/6TP8Hv//7v41/8y3+Br/6f/x+8+/CMeT7IjgJo242GkRNNlJomOGw5jl4TB32Omr0Ow0oUXAc+EuvZbio6NCGNvzfG+WoPv37+VV3ilRld0ZLrkGLCVr5XTbECyzlhxYkLQHDVZhWE1kpVnpCdk57DKoIFRdbY3Mv/k6mUmv/MZCoDsAxWFeY454mQlsW9KmWgxlcVjFYsvzV/RNURZ6D8A7OPno4Dj2QWjEZMdGagHYd4tsKGCaYywOcWnlRmO4I0PQfxuZxjGVHVGQ1gmTytDNP2SW5ZibQgFhQzX/+ldZJJlxj3vWFe9Qm+UQkAQO818GdTXItCWxMX4W1VfC7qq97x8voO5LbAIAykBpOaWVwrhFFqsAetw0O1ITP70lrEnDjPgnEMc+5KYMTJQ6G3dTD0TkvwMuB7bQm8DQy/6eW0abdVFnNIupWuQUFWhXjVYYSMwAyyNkVkqG9SjTlNW6s0XdcV4+V72+Lbs4pgIHjIbLAOBD4zvn5NNHv9rDdk4thYcv3dKs0NCYhtRjhIBneoILSdgPnVAjnmClybgfXNdVCfZSrzBULeTty4tAbPVVVIrDdS1f6F218BUKKsORLh25a6roIxwjaUU4QFVDXnBgd7A2lgxf/hA2ZMfPvbb9GPjkjg61+/w//yp3+K43bHv/rjP8Yvfv4F/t3/78/w/Bj87IDWFw+6ZmXjbOv7A9Cs5H1fMhJTGbOByUZEkHuvgyBm6W7A9a8Av4YoXfZoHQRc15vGft3rO5Dj1f0yE8z2DXQlA7CGxR5KTL1+LpPFWsNzVvJhGg8MFNzIccBUeNMckfBp0YUdRquKZAN/9WGTaxLNcLjD70+g3uAymwZJ/yjR35f6PyB4zvV8Go7j48L9xzeakWiNGYDLhGwsZ0EN2p41r5Z/A5nLQIwZb+J2NBxXJXQUCwYrw1m/UeXg5cGbSiv9xv6AYttcN6Lpyc5LSV8LZH2vb2TGMfj5d0Dk4qsKwFbpzw/mytDrHmUEDw15FUXmIi7VCV7ZMLLYVpC5mPK/OWGqIl5BALmzvYjNMqhGXN2Gx5wAAn1M0ftAVsb4RkNWbCMeJl3BEcsSvR4JYEtYU8KZVxmYsF/TvOvmyTkFUfju3CysC2xXgdabo/c9qGhXcdWD2o3WrmqzlK500lS2rGY8l86uZurgrKZj6iDY0AoAJDLmhW4sF15ciAjK9iKLFaTq0VmajyiNQPWamO03K9WzXjsIafCgo3XGGMF5uq7ZHzH3FEHUM9Y6bsKSRVP+O1i9fv14PF6v80Uu0NquNQlWi3ANy3l54P3R8HS/AZF4/+4Z/+7f/a/4l//yv8G/+m/+GC/nib/6m/+AD4+B5g2PCHjnRLI5StGMVaXWxbPqMk5Vc8K91oICIhNzr02zKqne6XRao4ArE28XrUox6NiUxXIOrlnihv3sY072nFTx00U4UY1s8wvkojUfgoWqd/Qq0VRMmhHwopebtEi5bbBXJcB6TWuWqIn1hhHzFYmimfOQjglYR+/7nwgeGjkTo5L2dMzYTs3cwlzfH3P9Fi6p/FLdfUEyXRggYPKbb4jsCjibblajH4dmAXgnW4DNO84WXkwmYcYm1kplm3WIVCVgheWkclVBAVUqVe2QwhK/WRFUANpNzHr95CCNS8nZ2sbtiXFiBehXuKL7CgQljMnJ7NNsC6fG4OFX+Udrvqi0tOOVScjVyqMemLjc9XlrI5TT6jpTExqIogA3GUTKrqKC3dXWwmz8nexKT375zpupdBVMUJV6nw1mAzkDN/1eFfE5y+WxqiYZl1ll5WzGtlaftawmXjvS0p+oIxqfC39uVxcwF0lBrBxzoO3stCzNzS+6GH2uyqZQnxlQ8pNb+arDu2FnhlcVPt+nKIRYGbzOHBTtt0za2Bu5zHx2MfbqdfN1JQJsxldrNHLkMCMslfcVnrmuz7rMjJPwsKGzBadYIs3wOCfw7gPXe2942Ilf/epL/Mmf/M/4r//Fv8Af//Ef48PzM/793/wH9sbm5AzxqcaqfePeZi7abFWBZo60gcix9i6SeydDEImCc6LW+HVdmEz9TBRswozUsZiGKoGVX2LP7Y7N+MkA0hMWht5u+2DCa4h556wbDrruva5Ysu7j0mUZrHVC6VpPdolVhk217pBTgTva4MyFcqnlSOKGx+OFBIgi64RIOiGoNEO26b7ujRmArnHIY+Bjrt+KkorLhj2khMQUbu7a5HVDmnEc4xLf7MCXmGie6MLvgLayPwAo5j0VgNXigZgNgp9qI4EP+Np3yEiKuQRnVHCtB/taDHfdMFqMzeXpz0OqmlOZr5uLMYcW2l4gtUht7gBHqMNW0KmLGzIUHEj5NVOprQTr1ZQ393WPmOldWECog7LuMQ9GNyqpd/OxNmWuz3xtRhdF8gofzbQFlQA6mCLX5nYzTHo7Y44HThhuogZ+k4XCjSYjP9sQU9aaydBIUW4G9lnKjpww45pXwVdegXnPtzBhrFgeRbW+atwpk4KEKcMMbIijMtA1p1qNvjkHGpTJm5gsgXX/ixRRNt1lMsiejZFHXa6MAflK0eG3Hw3tdkMmMMYLkJwvUXYbVQ3SPLEqLjJ+srJTZbn78DW86pFU1cSGlbL13YdgvyF5iH84uY/ePuFob/DymDi/+BX+7M/+HP/F7/0e/tk//Wf433/+S/z8yy/xGAHIAbhZ4/6dr6nHwHWtGlz0bJjIGYndY+CnFdRX66fs9H01riNjiUG5DyfmHADaSmJaKe0LrtOcdr7mZiZeK9jrNLbKEFLdr1rL/M/E5cTgPk2hDNh0+1bPkJg50lLDejif/ehtmdu5OSeyZcBbQ4fouAbcNOOhDqsxBtKmkoSOww+cp3qjWvtF9kiv7sdvvj76UBhFg9KzjDjR3dGLjTLnyv5qolckvzRAil0rXBGctEZzKd7wxQ0GN04NmzZ3DHnTNHPgcLxA2WxjljMzKE1PrAlslmpSNmZmtTAX42KWWGuXiEenIniMIQYVRBSolRGIZW/9GpOMIGZcVtIpgVB5v1oCcZ6w1tDNQIaq7C9iaiEQbmtusG4yCsttOqcsBfV4fW8i75LV26Zm5uSmiWQJ3VuDa1YvY4ehaI5X2G0LqoQHl5MjiI3Pk7DEPAM1V3rodhQwN8Zj3ZtVCpdATkGsMp6qUqi1wGr6jjjByWWOmScrIWfm/mpuM2QlUpCOiAiBavwrc1RjOyRYKhg0ZpaVqmCHBLJmiSe6AlfCly3ya7ZT2YgUC0iHuDEr5c81WOvrZ1PJU7/5groMbLBSplL2HInWjwUFwGwZAkYAZyTMcx8SjSr48+WB+3HDyAFA84TnxDknapJaJPsbu1qey3Kju+H5ceI8XxBIfOvtZ2gJ/PKLX6H1G77//R/iv/3jf4X/6U/+BD//4pfrO+c8MWbAvfNg877XFDSnevmZJRpYYeJSuYr+zwXv7D9YTkEthjLYK9Ziap31fqznMM5z6WM2T0iBPSX8VJ+hPL6axDjj8QIYg2kz9QKQl94TaJCnV/Y0tH4j9dgN8WAD/Fj0UEKkRfZYZBgdChwQtskfBvWL5snqgjgYmrHfOdXDaUZdZiDRIHquGFfuwOMxECPR/cZErv9D9xS86GCV4QLneAAhdZ/KYzYjsTI2FByRtC+oCWucE1svrozT2fqKOaEknDTCVBAFkJZ4urWFJyeIgfeuhRYSfLnTCjn590q1OVfY2hSvUmRlBsY5V8UwxtyqU/4A5/DqIHSU1whjSmaSxlkbONVcrQOmGCmoQ8XUT5DzqIIZXMKsiDW3ojDgJfazeiUGvlaTzHRwFBWv7IELykECEUPzHdo6GIthVD5AdagTfkvASixm6xDRBMR1sGwMuJg6fL/zlJAoUz8imq0BVu43ZvBRQ0VCz0vVDQIYWlSCLWG2Dj/TfVmVaEoZeiEYVDZYvx4xKSzKFNyTGC/sxdTsDt0uDA03MqeojWZzZQi4K5Q6FFa1lrUPeIiRICH4QP8bj8d/NmOvw3+qDwKrPM/2oaRqsTKDGQOGQaFgTGQ8C17b0EbMgLdDA1xM9s51uGGJMS0dcQ58HQPtONBvT7g1w4fnB375819inoGf/OhH+Of/1X+F8e/+Lb746it6Vg0tAyi5gXpKvWvP+YbWohS82oMGQYSq/DTukl5PVDtrwe3nU3RTkStqLVVPsV1QgsLaiXbwttF91HC71byIRL83Abu073CZ0h2KW/y8jqfbbcVHOpnq+WlPLTdk275tyMuQJRcCcznYEoHDnfbj2NUdm8eDui8YpxzOiTkmvHcSI4KVbE7GgUPJ3VRvsTynftP18S6p49rI4UONlJdPY5AeZZOLLQaDlqy1hkz663sFD31pN+mPoKCnhmd533DTHuTSgxVCZOKcU9i+cfyeTuaMBrsIgwhvKfDgmyyk0iNwiDmzKkIVbBwnYLlmzxYeDDWw0rQ59XOZgTlqqtrF7VNlR9QC4JdHDWgJvZ5bVUuEesrLpbfOMKKA62BmOzNU2m4Ya9FDEYuKaMrQ+Vn4uruRqY9XzeIk66YqEc6fBpaSFMwqvXUF1kCmhn6AQfwKb82cizZc/SbUeERsmCa1HmDSfyh4LMgvCKlsPL9YPZtBVRlmZiJG6tAQth9b/fvNxmxmaqRBwiyQNuoprWEuvLY4MEKUyNzwSL0mGWl7Ut+18V4/U+v/736WUPXc95+1Orx3gz73i4m+DfakVhImC+bLe7yCyKz++sWTjCGHz0DEkV+/e4+jH/j228/Q0vDrd+8AAG/fvsEf/KPfx8t4wf/yp3+K98/PxZpHNfH7cVD8WP/dNEtYs7vXpDXd7VV/59YtXeHNgk9VFq772ZSI1c9dB1ytmBWAr2FBJihwK4FHMpm8y+RyQa6d67ofTj+hpK7ENE5gmRDq8C16ah3j3TVUS8kAby/t0DOu82D43+eyvbZXayYzL88KS/O1Ym3sOFD3AADOmK/e4zddv8WM5pLc29oIbAIZxpSNdkozAKyMrz4wHUIN3TZbB5483RxaSuUK6IBw3DO20vYgr5WjETPRBhBoiGxilHC0XwYrljmHMr0aMoM1ECSi1Nmp2KfS1chGcHPcuos5UKwQZqhzDjR5fkS9nw4Tg+GMAXdSYQsWY6yjIEk3lIcViDlfh/rEjGWy1lSN1OZg1piA84Dywkn8td0Ds4mLbqKCJghldK+FBjCzvVhGpOi0USwc6TI0zo/3DgDmq0Z+6BxBmoadCxbxsoVWI7YqEjFM+LmUZV3gtjrIADG43GDWl4VB6/tAiYToi3zPdklIgL356t7Xl1+B9fL71X9gRuvAKFqn7aYzS679V5muclm7AUmfqCxmlp5LXc5ycVUTq2hVhmq6Ce7FoLFVXSyrER0Q3jpnUiA1t5tVvFuK9sjqjs/eATTAtr6hvsEVQuTtMGQ6Pjw/YPkVGhrun99hZni8vOBv/vav8ZPf/R384e//PsZ44M//4i/w/h2nBc7JkZahKkexEF7HmQ4uIIn7G7NmR2KKNdWl4i3lO/tXQNFrzZhNxoWtA+xAWd+hYpbJHK8SnWY1zpX35W4HP6fIGZwyqUTWORTKU2xBBM7HqerMtfdjeWftw8iWPcaV8FL90lnPtA7uDIlOWYG+7sts4euU8Pc4bhiTBIHmB86XF7g1NOtorkRyBnBRO/+m66MPhWM15wIRtj54pHjfyS9eA9RbfXFRxByGuEAfmRxS7YE9WwHFwlA2bAQXQjvHjKXRmC/MnOT5470jdXoXXtyPBrsd7LrPXcGwodl0IJmUj/yzJkHezMJ1iVoYEr2XslDB2EnFpc0z9Pe5uaxX3aOMKMHsPFmUWjGskt+4gjUEfVgGQou+4KKYc90HwNgoXBuJv93kt78yLttsoSutk390EfphZ6n161qAmSlrgZ1lKD4LdqCnSpl4AQWNYAWCwq/TTNVNceZZvkf9MLDgH8DkJ5/79aoSMAa5GTtDrFe4PmfY+pvrUCpo8ZssHQCISmjMAOye0xCzq/yv2Bgtfxrdkcs9q5ae6UYRt95XZaa4vPf1cDKYKjMx6YKJCPTdYYWTXyp3vR4TKK6bXrM+lHUjC25RRqlq9NU7a13E3AlNZOLlceLrX/8at97xrc/ewpA4xwM//9nP8KMf/wj/5A//AIjAn/1vf4n375/JjjoO9jKM5BGYS59ULsFUnDff67n8mZpgQm/MgHv1nnxrosr/KlJWGEgNprrMNshK2nT7tH26CbrVM4gxCGsv0aEOlHDKrhoABMgIE3S87CgMt87DtqA/N7Cfai4EYp/kqXUYoqNeKzeuv9ShkIJyRV0XsaO7M9GttYeqpLAOuGXZU9USfKEGv+n6LcZxxpKGt35jU6PKJkjUBFPDLxd/vxgBtVlWyZ8JhyZFldzbaNQGcZnZlGQnncOrL15IACwCnqQIltKxE6RftEl3F6vnAPIy1as1TAAPs6W2dHXpSxjyGCc8KQjhICCulqMcFyMwzdFd2YsxQzqE11YWzmjPCWn12nNOpItqt9TTuRZwY1oFq8MFUoCq2bWYRrLUCPu7Nub06GE2VIZtBdHEnMvpcUEfddCUSZc+/c58WDqnF9XVF5YfoKUHAGo0LrEmFCFbF4trDh0Qyq7j4mqqw6k29SvTRSh4uqF6EcXV1wKSA61+VptssajGWBDDN+1OTFn7hqt4H9wdrR9iRDGyLn6/1QFaz1oQXiSAffCE+kzXjO83XWXHUc1TVkBiv8lWYmqYE58Nh0aNOdAbbSPcCH+mqs26R1NECVcmYithkNJZVTTc1qRA94YPH57xhf0KhsTbN3cYgA/v3uFnP5348Y9/jH/yh/8YcyT+6q/+Gi+PU4keA2g/Otw5EIiHgmGMXFm40iA0Z9CzWr9Tld/h4BnC/TKS+6F39rnW/qkqZ/UllAjqHtWCLBZhTT7czyWV6MYSfRabiELTgisb3jzdgaQVOT8LRXXneTImumqBdFQGMWesGJk5VwBHUYrd8ThP0A2gC24TQ1EJ43EccAAvLy9wB3o71p7unQOCygXYmutgzlcWPn/f9fHeRwpkvG0Ts7QjmbIg0AkOBuuczMADednYvJkwW7TD1hpu9zuiPNQVSBf1syp+bIELJ8AxG89IjJeTi++4MfgO+cIkcDRCI9Xc9CRM4+44Y8J6Q7uJPgnWhqaKqN9vyNuhg2TDVhVIIox0suaahjVxux9rI1Y/wHtHjEC4Pn8mKxl9p1Q1xb5F4LjfMAFCRVJ81pjJamwXpTAjEMbFTf8izV1QpXUcTYN8zpUtFWdb8iDUoVNBrjXhyUPeTBmwDAAaxwjw4JVx2xRFtMGQ1JKtcrgsyBJkuvCNtRFxaVpnqgl64dALUqt+yyvXV+zKBIC+t7zzZZIWElKWhQjfmhuv/JoKZlqUxEviXewjvBrMk2K0qdLTwVIsJAamqhB5GPfeyUaD0lRldwAZIy8vD2V2vP+9keVEmEBeQN1XpRjzxJTYjPc6YGno3kRLBRuk5gichCeJz4A+/DJXq8pnUZBZ8R1Hh/uBmAMtNNfDDDFOPF5e8O7dOxgC33r7FnMMvHx4xpdffIHPv/Nd/NE//kMczfGXf/XXeH55UT+mIB9VcYJzD9tIQusNh1fSsBuzVfkRqg65NTu8H4wDjcnJnHPNwuAeI2vO+xaAmsnGZipwB9XGx3Hgdifd8zxPOBy3fhBFiClIVMlaJ6vKMzmUKmmCSeZSoHVHxNZAVX+lKjsaWnGdEXnhvaiEgYccG+HfNBHkfcAK+DWVMiKoTb/YyTB51zjYmGraf1xC8luxj0qUQhQgVabV/AHh6+7M4EUbY31Ay9qmcrYG9fB0J32scNXKlHdD28U6MHgyUOkZrcqD7CLegHEOStbloHnOnfFxU5fvy0DvjsMuJmxZlDcI+mA9xvGF/P5uMupTYEfSn97dMIVv9/tB6GkSn/fmmAaMM8hkMEIygDxPlLG1o6+sBgjkxidY5hoxWUuWmJ4gPAFaBjg/rA4EfuY5TiCZ7RcPPM0XQ6wpSFL7UYaEzLIdzEx64bN1QEEQRj1nCB82q7IACxbTYRH6KrW8Q2uooBbwq6hZ7eqpaIAMCPkx2CeulD4hUkudTcRHfSJjMDHBTdWsRt0fq0PRFhQB6BAy3iczBmMig7wDc0xxzKVUrpy4aMnStqRsTcwNsA5c8PSCGUo30tVDK/rw0dkfi4X76LMquSL0KA67y50VgZi6D2a6b76V6/r/vDT2ISyad4FVUHcGubB92Fry+7oBHz68R2uG+/2O++1AAPj1u3cwc3z3u9/HH/3hHyLmxN/87d8SYm5koMVgBsyYwSp424PE+n4RE+acMjj0jHtz1EC3hLSTmaRqNl9akprHza9W8B+De5PiPoPMqN66jONiMYCQoV7QRMq23iANkTuAXdVS/1I9DLHTLsLIzOpPASE3ATew+S7zuj2kjut6jA3bXqdOFsln6nVqrXJ9N8aCgpxAqmtCbrFiqn3kmfDbHArJXaa9L+kNF/isvC1BqnUuLI83bDMBAMhoalM9Z2zZeC2O6uSbMyOFO0zNZMJJ/DNvLo90/R5qhrEjm4kvH7vUr8Bj5XHE7LUO44KFQpvOffOL+VBd94LiOxibxGFUdBMRYXbk8rUpvvRNNNM1QJ7vKB+VDb3wwHMKkwDU+EetHQbTGlyjBz2dg3wGCAO5IKCixS2sO8ksSnc1QcVlSmYU5mr/GoCjr79bz6buUYVyF2a8NuzlPlOos5bNrhiwE/JmLiquL/YSdQWlbeC95jlJrUqaI7MG56hJXe6SJdKxzeRqIkRM21BCDXGqE6nsjIsbRpsDJRrlxOvOQa4RQA4GDkFdrZFfvxv7ZWSn/ovFqoKpzanjSBz2XqNbeRCXVxWFjVTF98YyrAJNCfTIxqJdhDsb0k16ld5K5b6/90w2WglJgpRGKINHyR7Z72IGnApSgsQi8OHDB5gB3/rWt/Ctzz7DeU68f/cBzb7Ed7/3XfxXf/SPcT8O/Mf/+J/w9ft3fHZOu4ZM0XpX5YSCHRiEexOd1fa/wSx9JRWqQoEUZNxlz8KYRK0EySbIXNMCCUvxuXRBN9Q1vCzkgyMz6bwA0xRirfk5J8b5QLvdAG8rcNfEyZiV2RcMl4C1Vf0mqkLXZ5G2wZexWgo63/bmrxhyvn2liLQYIgYeDybLvXPGdLG9zOTnliQDfcz1W7CPKrPHKvnNeLNXhrP8PpqYPBtHPdA0j6Eoq4IpgsvQvNMSojLO3Cd9KDVgo5ZZT+QUS4D/8HUDvR2AbZdNnf+s2ExuiKoATjVeqjyGsiJ24JiNs5zverimE1cZ95wyAJPqF4A3w1n0XSur77ky0/Rldrtw3ci5vO7d62fAObiAIqoCDDYAoZyd37MBkY4IXyjFBQlBZe9zBCakLWlYTbujUYi4rEVUXa1EJnJl+6wCZEFYgpzIvclV+WT9G5Ujm5qJ+ohmOvBCn1ciwAsbqwmzL0sI6lESxfRZzyIKF67NY4QKsZvRdT+uZXT1gpg5KyC6a0CJkgLvF4tvkx1FXzOCV1Xrtg+XYFOSK5YkjRLV8Y25nmoEZd33OdVUDnqNcd2oj+GqXNRsvRTTCqgG9C3WoumaDtQUacG1GerQNKAzUiLVCPaqOqvno3taVg7F9Pn1r99hzsD9dkdrDY/zxNdff4WMge9+73v4J3/0h3jz5gl//ud/gfcf3pNCPk4mTL7poLU/LQMOHhy1D2voTUZVwXxm7ptgETNI+QSToVLBxww6zsoMziTsinCEDaC0ObmPJ5fZJYWHVQkWHGc0n8OF6qqD5FTPiYLTi1X1cm3QNhKbqDdN09OhawrYU8NxjqOhrFOu7EE3QbaLtsoKgxKOIqbkitEMFqWHeh0R/o+ujx+y8+bOLzUnznMsa+y1wVOlbpV1Wv6RhZlhZbveXtcxqcxljCm9ga9mTujhkp7ILzgnJ45Z41xZnthkOpR3eEj13PwAbBuy8f1yuW+6NloW5U3YoCd5/LRUULWzyyRU49fAxmJlp5xqxQXsLgVs9WKkZag8sXmTKVrR2AAV8RhrIdUWF/00BQMslTUPiwZyqCGckSX/f+aBm2OiekMaukNFHqGE5mu2cCvuuwJYahNwIxPiaXK4TbtWP/x3GQGyUvD133tgEV+bm5y021ECSb0GNwITjGEVxKvyqfNScn53hNghrTnJDqFvuspxjhmdGqNpNekLpAe6qMasdNkbMLc9LxrFBGHDF9VXiKnqThme4EaA1SUFWduVl/+S2roqZFWxGQzerfFIaaEKplglOiRN1QhcB6xVBqpn0XkQGXLBvGWD0dreT6U9gS8bupW1A7ls3NdzxSaCPB4PfPX113j79jM83Q5kTDx/eI8vcuIHP/gRfucnP8H5OPE3f/u3eP/hAw81QAeDs0mqdSxMCOKa7CpZzxy2k79KShLAiBNjSBujddHMEZP9h2YAipBQ1Yh0SFbVqVT7bq4Mn6936zVm9UTk2JR5q0OccaIozJlAmRqm9laMImHsKvJKVKjDlt8xd9xTdebeNLZAEKPiEE3yRIfvjfBY0FIcxkqyHx39OHDcbzhkk/Gbro8+FL7//R8ASV+a8/HAPAcbeNUMibqZnEMayVLOlTm6u9R44OkZJUgCIgxIeu6gFj14uIzSKSQbvWaOMFIEtV6WlTaxt+2HsoaFJysSJFjeBUVQJXY7z6HT1vB4yKq5E9NMLRweMqqSwFVtYNCYCkJXYRSpdwroFDOspmZtMMtBMy4TM6c42Rq56SAvGlo8vuoCHmzIXBn6rB4FDBlzu9NWP6BEL52Za2Iv/Ob0rSF0x8XqjYPUmchXMNCBX4ZuKEaHYbhYPDBRahX1zdQsqOyVgb2mboV6Gt6YPdVc3FaOmGof1AF+6jM2lOo4Ea5ejwM2WcF2IzwANb2rciyvoZrIVz2VVaEsC4igc2kkOjqhk2oGA1yvKB0GP1Fre46ymUnXUboeYeYuCFKVUD2/Yt+YGRrpbApADekQrbGgOUN5fxVtdTUysxggocZrnekGSx5iTfd46SeWp4seE18YliQ7VCBah6H22nHQo+f9+/dwb7jfDrTbgcjAy+OBX37xS3z3u9/DH/3Tf4y3336Lv/z3f4VfffklX29y7bpIIAYHnAF7lAVN5ppJ3tyQOajQV3+g0ItbP3A+HvzYkTAd/gDZOCH1b+lM2DvbI1+ryV7VV+WvhsR5DhAxOwEEx6a64xyTyWkSECp1O4WeNctCdc3BPlRE7ua4nAY8eYhzfQGYKZKJmsnHHZGBc7yoaqLp4+qhKVnorRMO6wbcOo7bDW/evsX96WmbWf5Dz1N4+/ZbQHLjWNAVcY6BczyQwQc5xsQYVAaPYJBPBachDJOBk32AmDUkpMr0qof5fxOxMutEcGPJlrrdLpgbROFD4nBis972xK4xuFg4yav8jwxzVoZF7J+fh4vtlHeKd3XvrRhYQ+g1G2LdgXa0heUCLIvnnMgx4EbRXcyE67BsXorLiTkfPBAykJN9ESQfTG31PT+imqA8aBOJrFND//TmcMgGxIB5TlVZDPyFJZuzgV+BtTtW5pvq0jYkGVcwxJr9x8PIEmTEaGs5NBIUAMKQF0dGfv6CcqDnCR6CDRjOwekRcw1iN+jXziadwdH7gbaCHERcAGifKEaYQzbfgYwHUuyZ4zhwniGxEGgjoArPXY34KSqkA4mGZrY2Ofs4OvSCh2zrh7Jbgx869GaNBLVXmXnkXBUfMmGN8OIEm5kFk7EK43qYc1AQ2tqq+jh3g/sikUAjZdq88TCWirs5NL61YczQIcTErLkYRxUUUfDQLOoYM9hkknW/32Bma0+YglBVwBETz8/v+Uz827jdDoyY+PDVFzjzxA/7j/CT3/0Remv4sz/7c7z79Ts8YlB0F1h9PXdfHmuHCBSnBkulqwc4a6yM9kcCcb5I1Kaqa6ZYQ4STSgwbwQqCtg+TkJIAPsRJG4lUAM3J/o6xqduPQxAiGX6lKCd8Se2WixTjAHJyZkbB4ZXq0kmAaMnt6GSxWSdcPOfyhmqLvCNvMiv1P5ZA7ugdSJIMbrcDR2t483TD09MTrbXvd9yengD1kf7h4aP7AcPBhTQHD4iYGPMGQArGc0qGD7yMEy/PLzjPcw2tuXrEmEv+DYq6CvIAWJlxKlhgjon7/Q525h+A90uVwAPhOvhlIqktKIz5YqcAr6Yb857qg7CZCQUHr5bGhorU5BkRq3QrRkpVNTmKFSOoSklb7ebWHJh0kdxUOsA8EAjEGNKBFJuhrexvqwZyBY7K4MsKuCx/Mzm/epbxnyA0NoSpLygvJGiRUgEeyqJs+7EkBTaBhjTnlDz1RKAMCfqEI2OJ0sgUunxO5Dp4kbndRN2YOZ9JVhXTY97r80TvN9x6h/mBkuSNfO3giuAnJGRJeqCwSr6nAZkTZIEBHBXma30B8tpJVjjW2GCuDc/10NbhzM/PCqwbHWgrECGL5aWfr8+StGBZRAuJyXie+6r6sLJxwg/TE4USdlnJ1M9VRVAjOYmns8LNCTFbeA8OGfHBjMBhTuH0W0PEvloZVkqf0W4Y48H7cBnQdMop+eqAO8bA8/MzvsjA559/C2/ePCFa4Nfvfo0ZEz/8/g/w4x//GIDhr/7yr/GLX/xSEMx2vTXZejCZ00GV6iv4sWzGq6KqLXocx0p4pkbZtvIpqqrN1I1UTjXVb7gdN2RMvJzPgIV0IdsQsqCegndSwbXp0KSS2QWn8bnFOTFPjRTomhBoEzPnSjLWc6+VbayWPejQ3OTFhKBH2f04SN/vB27HgVvvOPqB1m44+g3H0dGb437ruN9u3BOtwRuFvaGY8jHXRx8Krbsw+4SHAUlsNuO28Nbn5wcbLml4iieMN29RkuzzPNn4kYlTLb45E2k8NOaYwt0ZbsvGeYwTNXryfDzUyFHAK1FWqBG0fH9S7AFDSzXDIffQyjL1lB0Fx0hk5LJNEM5Z5XNUQ8qVEcZkOSl4J/Wzc54s82xzzwHxwLM0DrloeSnBkxAOKPasDXcNgguDhCysU86q+tneXRnt9hVioKes34+OmXMfIsDCYQGsflCiPlPCOg8CZmfrE+I4bqwOMrGk4FBPSIycElnB9v0WniiqZsJmwHzWGczD2hxYE/AaeuOmqPkBQGhKFTUUiSloRPcZPOCngk7Mwb5TbzjV7EwRC2K6ss9ceDrXxWYpGfZnL/iw+i2+gn3KF0f3Elsh3frWWDTb1Nc6uK9c9Dk4crP5sf4cJtdU3e8aZtWLujrLGhyrAcsKzWpEw/q7qYZ9CLr9Jn/9KrKrpvmy4l7rEOu/6R5Kdf/z8zPhEw2BGTPx7tfvcT6feP7eie9//3vonUnKT3/2c0QkbrfG+CB4dmPujuPYEFwJTKtqJipZN9v24dU5fyAEd68JaVqf9/sTbjcoaX1oX1Jj0NT7Kbh1J1vF1qu+ZSIGUZDefeuBJCiMpM9Tby5X25plIsJMAs/PH3B0KrerAnjz5g16yDNKh8ztfsPtdsP9fsfROu69y/qmvf7eZhIuNkCJ4BRBp/WSDvzm6+MPhUa5d2+N3P68iETceYq740kb53EGHo/HwvJrDsMYY80qYMN3oj9OwRsqzYJjJI+j6+dPuB+cczAfAKqpk5xCNbfhU0Mg0zmcvCqFKoc13JseRsRkyvp5zokY7Id4ErgpHLtMr1YDL8DSMMq++f+oLNubqz4vXSEpTrEuTxVnltYqi66SNjcVrQ6C63Cg3jsqfYnQjIkQ1IEKVrkETZHb76m9aniREpcRy346hd1CrwCrhnfx3aFMW4GOtB1muno+zdkctyTMZMvEjPBXDRa35mggxluHVIfpPXkvimrqcoOdQXUp4R/jUs6tQE31qChE6rojNOezLNuBC/1SWbVj2ygQ6665GYJ3alRiBVvvK3BPHUyo+C6zRGQixrafr4ZfMUiK8lsLJTMxzwHr+yCtDe1GmnEk16UBtImZrOygjLip78ADg4lXwlQB5np21QfbPmX7MAD2gVXrJJP36moYd1VuWzO8e8+G8re//Rl6b2gHJ7L98pe/xOPxwA9+8AP8s3/+z3B/esLf/se/xeNx4rhxr/ejrbYIySF7uFBWNVnlU33HS7LhaopElFmm0IdMMpTMBDcCtxvX3Hk+1Njf+7jcAforczw923QkuN9qj016WBOeMjKAzLE0EtA6Zb+yqQdJrcetk2Z/Ow72APohiHgfrlCfonvD0Xgg1Ez61Oelahv6e5opMTlXrveOwMddv0VP4YZM8sQPawg1oI6+nRyXbYI5jk6/klpQIyYzIHH0pzLtOSeeGDGWK2NtaAB4eTz4XgAyArf7IconltrzRABB6iA3qOy0WwdyXhhE1ZwMBdq696VNCLRl2GdKaMk/b804bnApXw3uB7FMBfvmjuM4xI4iPngtu8sU0K2zShBdsKoQmDyVTMEnN2W0IIbrRnzIdpksiQN1AEBVTyYwzgH3LkjEF6thorxjSrQlw6+1capfkOsAKMDIjGKhiIEakLNmArivDNmBJcDz5Gs5ZC8BBd5gU7i18q0ihp6Nr+MLYtR4x2IaoYkiqya/sr2uaiJmw3O+cNMaG4PlZnl4ZYRNFEyuLSjznKmwkaJ9CkIqwVLVVeNCtIDvCmDdDxSNM+inpSw75lwVKgkJvjLeCtj33tRjkoGMfYOa6ECxmUaEKqROMDN5n4v9FBYwqavhDZACfyUWgGiOYx1Q+5AqKBeLFtpaw80PPGAiOFwODzjmPPGlKvzPP/8c3/rWW4xInOeJL3/1JRCJH/7oR/iDP/g9PL098B//4/+O9x/eYwxCoZzMuJl/UILG5rAOP1Voe2xlcfDZSxxy0u3mWsOCxLxGhgLHwWlrtIFpaqcEEzSZZmbY2jOZWBBMqcAZy8qQvw6VQO+Op6c7WZp+E2Tc4EfHcfD137x5QpcNxSFl9dE7RayopJcxtSjuyNT0yyax57GazlBsQ2D3sGSK2BxYJm2/4fp46+xgYxmt437rDGyAGk5jOZSOWewAZ4OKHxdtBvLgjQ01mbkQWWGMSWXzDIfh0PlOFSUA3pigMvocAzM2rXQONbUT69eVpLlvRlAt3qsdLbCzotYaN9LaoLEya2hRpZMSy+/eULbXObddbWsdp51LxQhwc5/nidYbLS70terhTwnmPBLe+uLWG7aF+JQ1CAfVy8xvBlqnVUKJjVoxFMzw5s0Txim83yD+/x56TkM/MjYkmljrq/Db3vk8ooJgbbJG/JxVFoOq2W4cVmrC++evfJ9MTd4cY9l0qMe5hswAoKCqSvZWlZvUvOgrG3RnRVKZLszYaDX2rKYJqrpAHoSeEiVmLBfcHolsaoYbyJe/lOu1ltwdU9+vGB7zircLzqLXELP9VwZ2uqdFoKgDwUDLikCtP/3eokcKarMLm6Zx9rmpMVlAQcxYdu9mm22VZbliJhiq7T5NcgFsLrwq/YylQYKSD9N3mMtNmJDpGI9F3DikA3JzHEfHu3e/BpD49ne+hf/yv/wd3O8H/vIv/wrjPOk00A5YTkAjqqbWSBor0rpn6XbZm4aydq+Kl+e5LeYZ0Q0ik1SAT0ROHIeeqxiG9Vm9AR8ejw2tOn8/MHG1YW/umjS4EYb77Y43b94yOTpcB0FnVdwbjuPQfiSVuslYsnmTToNN5opfxeYLkVdqhk3rdJjlAc+DYoxzVQ+mRLPV5vqI66MPBb6hSQBWvFrRHaGyVmwWboKyp1YAqsEo4KGwePDB1x5jYt4O+XSE1HeJ3kwZDEVLL48Tt9tBrCxi2cEW5av6EDvwS9ewNusUS6qER8xpi/d+jlP84Otgd2Y5rTUphLOqOwAb67zir6FD6orBtsvs5/14dFgZUEZkFgAkwWdfwFbvoAISBTBqALeGGQP3242BdoZKSVOm4hzr5022Kw6ohEXmOtDmGHjMsf570Q8VHOoAK4XyPOdakJHB5j6gDJu4a7HNQhG2DBJN1VDrfQcyg+yAD1WKJj2BrXvReicLRlBBWaQXJ70CVXMHjpv6QAZzsnCudMc5hjJsVkpzbDhnW2RjCfn41WJDFeZUhqtKBMoBFosyujJv2/MN6lBf6zdzTSWcU/VLMAj1oyFlKFXQ6oZyqA0nghFqolZLHmud8N4VhZXfobmvIUuVoFT/7zqNL71U/W2tPbIK9x7j2p1CzqrHwGf+/v0zzAzffvsZ2TbcUXh+fofAic/mZ/jRD3+Ap/sN/9uf/Xt8+eXXmFq/mYEYsTLkOQdcWTaSe66Ye6ULSp0eDLCm/Vnfb8IsNOK0Dhf2Ma1BcHCIBnvCrCFjcCiR1vLt6IB3vP3WHbfbXffRV5+kFcRzHCgnh340tC6tkyDU+526r95YJbCvSC+mrYmpv1N0+xQzSWr3QSTC3KhNgOxgZC/P/kyX2r7W7UfE+o/6KXAhtxvtV+NB76Lurn9rBimqgavn5LIrUJOtZgzPmZjuiJ7C7RoOLchqyBSdNNWQWQu80fhpBi2xXd1/wlFsCDOTJx43xlBvI5aL4cvLCxWYj8fKhqqCiL6ZB+tBRKzxmd3kwZ41TENBy7bBXe+V4XCSVypLv4lFlZj6rKKHmiClJgO5NIzcHP3GrU9mRBK37N6AW19l+91ZiiISCWbqpawuw0KSAArhY4BmUGi8J84AGfCNbRfU4RSQLdqpsSocc7OBXGV8by6CwIOJg0p/WkbwObXeCdfIuHCMgoYkqXNVLAqmowZRVKDO0nMwQ+RApSkrlCYLAwCqTM1kC6FMM+XRBGivJOVrMEFmGoDuxsZ9aF5IQRl/X/V5PVABJQa+sggx3kK/VPC96ChKTFc6kwQTgrlw/7aeARMSUk2nbOOLjVS6keaaYlDtsJQIj8jaqnDqmW3mze4r1JWiVceqPtgAbyDtc6bJHoQU5peXk7qmx4nvfP5tfPb2CQ5OnBtx4uXBvf2jH/4Qb57e4G/+5j/gpz/9OZ4/PC6D5pO9RCVdRye7L+ZENPZUCsbi52YiUM+l3E55+LEaK18vQBUQ2jqw3buIDQzQt9uN971x9ni/NXjDgt52s529ptba6kUAhnYwoaW4js/n0Axzg2xY6nN6Yz9N+43jCIC6E4delwc2Y6aJvXnOiZmB262LWUYbjO4Hxjhh8Q98KETWvGF2xLs2yxxzcWor22syhoIw8RIplfUyJNXxrCx4C1QM9NJB26wblNW2G0YXLhhUVnNjNKSaroSVePq31nC/3XC/3ZZNQepw6K0h375d+O9VVVgZ06LRBrPKeWGLcAVy8RF73GMvZ+wxmIXJ8qRkiboCTwUHIwsktdMrdlyV0GVUV8rsChj1c/04Fq56HPdVEbWipGXhvoLz4MsrpjU6ufbWlJXtgyzmFBxFeufMzfU3mOiOF9peBswDVU5EBuIcGDbBsaPs0czHQ4EDcNt6lDGHPpfWVECHIyu6ahhfG6CF8U/Ra8eYOL2wZAC2CK9ImHximE2OyaqR/SBVRhFs9Ca/o5n486oII8tcD4CC7fW5QM+pNq9LvFcQ3Gu77hQsyqSpNc7+nbOm3V246iBDLS/jOc9BeCODga6rP1ETzeq57Ippe+3Xd01l4TVitA6mCqiV0P3dQ9AuTfJSB+8pda5qChl4PE58+PAeRweN9Zz3HgZ88cUX+PDhGT/+0Y/xB3/wB7jfn/A3f/O3+PrrgaNUu+aw1leFkkHvKffEPM9lF8H1vS0oClo6jq5qRwO7NDCMe81wu99X/6K1Q3RPNmsLSqpt7I1WHPXMV3UJW3vUbDfB/ShrFkgdKGbe6g/yNeGEDe+a137OgQB7CZzNYCjuXaZpjox6Uk1qfpEwig69kl310z7m+vhDQdkKIjQ9rcvuGkDyFHbvMBk7ZWBlwddyliwCh2dJ5U3iJB0QymLrpDfj2L+yEa6H0Jp819UEpD6C5ffRq1Fm62CozV9Z76h5AtAg9uW7xIW0cFuIt19ZR2IF34B4/BGYj7kYHISPYtlF8OApXxNR7rweWK5MLdXIao0YbEp/wKpowBMIjcs04NJbmDhj4nY7AAMeJ31dahDQFJDa+rHYNWmpIM1n1bTAIgHo2fXW1NBrqLkNpOdi2S4sdsacxN7NYTYEJfKQnoONv9SGSWcVVTqFahTGJalYgR+lD6NBYFUmWbsJ0FjRgrGYHdfsXh7c0EbaDUOzCrgFUQEYsXBe87IV2RurAvEIiqj2QJZivewgu2c4F+QS63W2/mFn4wVnQtXZCBoumhVkV1222jdNVgrJvovuRUF7qOpNsFvMspspUsC+J8iyYd7fx7jRuD6BDWPqOnpbFOpNzGBQre/p3rjmjIvqw4cXGCae7jfcnw5C0TPwPJ7x/PyCOSY+//y7+L3f+z28efMWf/EXf4Gvv3qH+9MTq+5WgsMAshg7DjzdV8SOYMLZvDj9fd1nHtDqv2hoWH2lJn3Cch3V8zmOrmfJA2RV9hfdSe2BqhR0Dq945wZYKxKJWjaOpfcxx5qQ163U9QmE5tn3zVDbsHcZjV7IKKb+aAMsRIkPMGaXTc9HXB99KBTuxk58UElrQO83Yex7M5iM69JssSvIfMcqw2BYJ1qZxTEY74BOTLk8igyArCm04LKTmZFGS9mRA3CjL7txYhbfX4tEnXyvKmZtYKx+A/2b5DliRTkjDjvG9lCiJUcy6Cj9zhnr4LCV5dZkOjo3jrJTcPrlnPNERmL0EORWdglqDKnqSA2wMFTzMDf/GtteBMilr6jNTtxRSnJlfzMmjuMGgE3CpgYwtQWxqLYZwDRSO+swWH0F23Yk0J8hQ0OHSA1OHR7N6UVT9ifWTHDiSRbT3GNXUQ09wRwjxZ4BYcPVeDYdeBXkKmO7BGl+Lq4lBmDH7Q6cD7JvionEdTKlarWlEeBIV1FhQVYbPXu6guzmiafudzFTzLZQ0M3WDHCXuyaA1bAsOAFQIzlYPbFX1TGDfHtvjVVPAtYbbqg+itZDBK2vmy3IFHDkeQpilRVM4dYXNtse2CNoKHL1HTJppUIthKEfNx50WoERNEwcc5vYUdsBrUk+hffvH3i8fMC34y3efvvbUFMKbo53797Lcibxne98G//8n/9T/OxnP8e7d+91cPO+ZXDqHWelJI4m63f5/4Q+z+ENt9ttZeRUwDOo995e0XGn9DDcL/tZNM1j6Ydsc5LjT5egtHIPxci0rVuhbqAR1jRqiCq5dgfM2UuoKgOKn9deQVV27r5m0Bi2r1Y5QxNtYPzq3le/amry43F0PF7Oj4r1Hz+O08nhbq2LVRJiO5RYx6VGdWVCjWMwszDtpBKSkQ/H7eAgnkkWQT/IM+fi541lVqXStGkkqHXEUMMPNH9yBPq9oQ1OQYK69uvhaNj2KmvFR348tMi9iZzYgMkFV+PuXJt9xsBxP/TriXSW9a07nWIBhGArr02bjnI6ZIAwnCdpnCWeG6mBn6FMmnaHmCcdTTkLe0NY1awd58Z+Z0wcKHjMOCTIDIhEbwfIJOQGtQi0DNlh6O/zpGHgHlN248DjVHOq9BCGRd1srS3Of0SuZnRTnylnQUIazeMcS0jm2OBhPgOwst3oUCsb0GzZMB6kkbQseIxnAC6rB5bQ7NvtYFHVRiY/UwYb7dYcFkDqPgFTfYa2MF0viE+ZWFcCUzDHFJ5tVYFNUn4NGwYs9gn3ArNn9mJYpSIJngq9oXgqytOGUJU7cBNEygaySb2uqqT74vLDuUY9gUBRnqWtyaqYeP8IPbuSOTZrizod6sO1QwHdkq6pomYGgJt3YvfEwWiNIkg4G5De0JOU3vtx4ySwRvjXsmkeAw8wgyNO4Hh6UqN0YuaJcwR++vOf4e3bt/jRD36IP/hH/wg///nP8Otfv9PcB8HJoZkIEtWOMRTQ5SvFqEH7+QjNC1GF5o7bjYrgKxTG1wa8l3EinRwAVgrn44FmTdYju/keQVuRfuz4sF1g+ZxcSe+qEEBotWi1DpeoN3A7+sV1AEpgIfhPlZiU/a1LVmqJlg3nfGCOFyalk64RAAeK9fs/sCEefUY2EyBjAJ2dbUTiMSYwqcQDHCHPGYAl63mqO06a0uo1pHDI5wcnRN2PG9xlc3A4MipjNGVqCZQ/iaWyOzJVWjd4O3QgaFIVNiOpL1W2YczE7WiI8gmSAZydLLOHtBEwqBF1sPmTgTmFK9uUc7SvzNrA4EM2DAMIVPmcIxdbqjQTEWROWC0SkuaRN4dlmWq9rgjcqwLZ+o0ZJ0pw83hwOE0z31z31SMYgkKwMM/FIsnEy8szXGrIuiKGPP1ZgFa1F4OZtIH03KZs8+WFi7JJXW5uyClWFDYl1HvDzMCYp76foLjYE+TW/aHVJQ67VnmsrAo/zqyK9tLjULXHHJEw4dQPmzvgZNHVZzTdB9pXb0JBZLndSDiXDlhXhhaaf5uLhssMrwOtCZSJBd3Q4x8b8onAQABDVgn6jrtgJjRSDJcxacJ4KPEpajbA7H5aVZIU1Fnx79WjSGlFSp3bs6/1QT+gasyy+5TYNhfrfqCq7Fzrmd3XOytUeQCZARncJ923zQwTtg4DNTTobF4P9QrevXuHZo7vf++7+PEPf4Bvv32DX797JkNMJnpM/piNH/1QwNfB2ZoOQH6+MQYhmoJ8DrkJa42sXl66BGMHMnVo6/cP72RZGkV6iapAqn+gXlJsEgIX1MTUnBmT8zBJHp1QsTssHa2BwuDx4JpxJnfsWzL5Illm7vd1jiktYV+D8YBoFXsN46QFEY5dPf9918ezj2Tb4GZInwtjJMacmh0LNZuqbAQqkGWEPIraypi8sWnc2w1jkFaJ2JL6VhQuZYCLbNdM/QM23Pzo6wFVkDAzYITgHWYVN7F3znHyIS4eO4/ybg0vceqBiAtsoWChQKNhHWmqLMRwaSA+3rwzAxNHm7z8QMxcCxbAWjSGFLzlygwnIZtZDdbKhIkhPh4vq9KJKOFgwPzQ3AceCpacAzFH9UL2oPmCCepAqAO7H23BXQBW85FVTqBsPhhd2HQ+NdzjELUyxoC9eaNsuymb3YtxCQUDuv9UlO6DKVQFdn3HkNqUtsAN5MFzXzDwulMFu3F5HiDmjjWKs/oTF1yVDUvqI9wqCu8rRDIo/UJbFQCjtSnzM2/MxJMMpupRIQKeXbRVNZdTNjEC6muvkI0UQHB9V8ZL9pYR8xaB4xbHMspzdzzZbWH3NqmNoMGeYLVLysmpcIfuNQj1rt6IJpxZWY9zDdawId4zZsHe22pgetFBYZhB+HOME0fvnPwH0UB10lVjmuB3l4KdeyleYiEM7969Q8wT3/3Od/DZZ5/BWsfL8wvvLer5cw5IVGZeX9VtYegLg9efl+q9cHiY4dZv69CLxHJeqMBrRgO6jIl2HEgEzkkH1YLoKlmpHgYz+QaPpMW/BWqi3DVRy2CSbWBvY5y5msc0D91MNJJWciEldTDPKCrxHoZU68e9vKxea2T+j67foqdQhmnFxc516kdMeXUUnZOsEtpTXPxRUjObY8KMp3ua4ZQyufeG8/GMnIbjfldjWae+uE9MnE2KU5X/vm+yw9bcgW6Oc55oynSIw2nGa2vLkydbqRY5Hxm1ec0ROeC5cUJxOFaDuJrjkYCJrzxOLmp6otwVaHUIJFS5KMtRNuPNEcOQ4UAz5HFxIPVtl+GtFgLdFQsLjhwLD264oYz17vfNga6TmirZWIsk875e/+pYWR7wtfmrkTWCG9eLQSGIjFzoUJZ1Yddkruq8+Q4mZrs/U016lsdz9ZuuSuMMZkIGEzQiszp3HcTXmbYssec8BRGyQjUrau4+5FY1ITFbRKgyvszJVXBNUMlsacg58XhM9MagEnMihuOcQ/jvUOde3jbK+tZQee2tTfR1NUIV7DqzaHNHOzrMO47jxr0R5W3VcLvdhTNLCKUDqwIINGkMgue8H+x3zdI2XLQ0om3y8CBVuKiRlRgZQKw6Sg/DJCFmAEbWztkSRz8wnN3Em6CVytyJOHdkOOnXaTiyI+aAFw15DHz11QMvzw/84HvfxXe+8z3cb3eM84Hn5w/aY0wW+HmrQgRhrYKRLod9Ud1343l7ivF7mGBG1khH74LA2PsZagIPmVcC9KrazgC4sIqoXm+dVVQkJ+L1gwaPMaSEzhB8B0R5stnK4KjnKWbaPFEq7HVAN4c5K4iCGIlcUKdQDfPrTJm/7/r4yWtJyiizpSojRaUUtbIM4ZowfN7ozdFtjRaxY+aaasbg0XCeg0KO44ZpD8IfKoFeNbOStEVvhuP2hqdjiaGgxjaYgdG6mIwcq0DvjuPpaW18lF/9nNzsygZNwahbX822KjUjJsbjXMHczDBd094SamLJokGQjjXqOaB+SfO5lImmGihasSDYwB0obyXehTEnjl4c+QkIh445YbpXdPs0nZ6a3VsUWR0OhbvzdTc9jtnHrrRKAFNCst6b7C1Sni4l/sNubgML0wZ0AAaZRq1vRXJoKE1EwPK2nnI/ePg/zhNLOasNhqhqR038WT0sPnWXaKjYTGk8LOtAMxEaRkxVDdhZpyVuxs8zzxOl7A41janWpV3LeXKetUXg5YXU7GZAOKGbozUMTzzOCVhI8Cj/pUwg/dXh5d1WADejjYc3KluP4+C0L7scDg3wICXxOO5o7UAMjqW8qWIzo3X28vgSzEUjPe2SNCB29VqVQkovAjO0DhECdgWPTDgoANvQXSDc5RoKHO3Gg8plv+JcT7BiRfHZhRn7YAmOf7U75ux49+t3iJg4+oE5Jn71qy+RCTw9Pck7KvF4PHaPRWI2FyxWGidYWURonU5fyvCCe4o2XAOjTElY6xSITfUv5hzrPib2370eOkz4dpLr7gj1k1JVuDltw8ubyus0FmyqHGcFPm1/9iwFzZH9tQf0lFi0hoUVvRpwWGsrkfqY66MPBYSCKqBh4sS5z/FA6zcct47HYAPRrRgkzGLnGGjHFoWZszfQk9iXpS9edR0gvdE5sU7xlfk4aDURoYAHwFxaCewB1spG2YjBgnhSTdDV9W8m2EaeO8L3yWqB6JgqBbWgA0C67DyMqtyeUhyjylJlIyCE1cxgECzWDZn9coi5cFiJWpzVGMbJTMMphjnC1RvpMDsWdS3AIeuHlJ4M4tsLynrDgbagmVKa170uBTG9ZraD7HmyuVnVXj2L9ERrx2LZXEVOUxlUQ1uVxMRcz5bLlPUWEshpr1xDuxghV9ZLKiCF0QWS7+VA0t45gz5Qx3HgfueBf44TsCmkdTfkZ1UBboQOmxITJG6dQ2OG6KhllHieJwN/a7CpNYpES+BoT4gxkONkQ5m0EsxhaJZqTgNzEpYwr5Kj9BYhiAJgGpCgJ9ZEt4bb4SuzNG+cYRGsQm+3G9l2jRu/N+cQvSRriJoRW/YaMwI2q5ldzqbAbrYq8y42oHEfVAP1IW0JbbY3FMjkwdghMDZMjxvXx+GHDpRZs5lW5VuHYgXpAEkpj8cD+ZaOyDHp4fN4nPjlL3+Jt2/f4PPPP8dxHHh6elLyMnYTXmy7quiW3YiUvX5jX+Z8PFYArbXLSqaU34pfTX2DToFgPzqr5EIJKjxWNZ2s+iInZgz04wYDM3kaXoqinyRdGBy92eoHLli59poa96EDtR/cV64+EZmeqQNhC+laa8t4tAoE2nn/5uvjG83VyFLHf8qV8bjRgGzGVh/OCNzaAagP0G8HmjbzUObbXAZ48wFzGkGlZtN2b6JgsrG9aJ7G5k7mfOX5QVhQBmqq/VZDVFmSe2MTTnqACAa/+rl7a5gGDBnFwaQyVdnNDcBZDYVjZmHmkYtx0pyHY/VXqBBODGHvxfgpXnNltabNEsFpbGBs2Rsm2DDsbog45ZHCQ6LK5rINMe9AGDI4YCeCjrNTjdTbvS921abYFk2uAhfx8ieJetw5ZGWOwYDjjogmGivH/tFT/4HWSAUEyA47CiZKTZTzEkfRWbKou8ex1ZpMCFziu2JwUehWdtpuzKD5LJ9UCTBgtn5HYmDkY1Utnh0eE2ZFObwIe2ojwtBvHWJcIy1x95vWLhXt/XiCZwDxgKMB4Xh5nsiZcOsUOqbB7g3n4KCXGRy6goX1CghzjmSFTVV/siU5HLd751wKqBJ0qPLoFBsezMyREHQkR6hmy1I7UUNhePg0BSmAfa+jk8xQFtK9Ne0xVjgOxzknchKq6L3hOGj1UiNNufRL/W0Kwtx77N+xf3TVbcDYdDXtE6in5jDcbt/C/XbDh/cf8PL+BS8vLxjnQ1UqmUQ/+tGP8Nlnn+H5+RnA63kPUUkHuH+KTouZq18GcIpaCvYKJCzknaS1yo8aaw0SJuZeDSEZBaFXAkghZFufZxbDLkkntsaYYWjovcR9hhiKNUXXHwMJDZZqZQrJaqM8wCi72rOdXcljoS9mqX3PZ3fc/qHhI+FtWf9LUhBvtztN8Caz/pvwygripUGoQ9XNOUxcYijL+nc1nypQDC1dZWV6WI5c6j53hx+OHOVnIwqegkCxUGKczIKrilDFggumDFU1MAhLt8Vfn4NmgPfjJlfYgOHYopGkqjIzkX1TyYz9az745shz6PCqILddSq/eJEX7a5fm0Kah7d+bYhLdblvNXBvU9JrsLdAoC82RZZ3dNWUtWQofeg3ilbYOgpLql+AqrWjIXlqnBSH13vHZZ/J7kbCqXRp+VHnPxQ8/C8bqbNob9kJprayBtz15a7ZEY2RtdBhY3XH6fBENVIW4ocFWRZUAMrTklbGtJp1YSxmJbMEOVq2T2KIzVP9qcGIem4aARcc8ufZad2X0Hc+yWEnQdoSV1yHcnJlq5kTzlCNmue12NAeoxRYtGQazzqwV6vP1AwjCPvc7xYlzDjwezwtmcach27LaSCY4rTVO5jPDmzdvWPn6JjgU7NO9wY62VPWbSqlsNnj8JDStzLk2YjI8l6lbNXerwmzeEE6iiqkBzr2o8ZLtQLf3XA+qdOZMvH//AT//+S8wxsDT0xvc7nc8HrTBULBik1tzDGptmvayK1kri5t+b4gJjfvdwkjSyS9oWyTGqX3W7wvejJBrqg7NXT0TUeGMeeodUo4L7tDITgAzGSvEmpyheSyLRalGflGszfDy8oKZQ5Yf1WcECnMqi5BqPG/LkN98ffyh0Ci8oAgldKMSY7xwoVtTyUped1RvQdhN8fWLeZJ+MVirf2LA6HugjFgNbTWNpmhZze2VmtL0gAHycsmMKEvjmr4VmluwG0xR+KhgoxAfPVQesjlN9WZzahgejxc21uX8WDce2hYrIOkw84K9mgPRLpn5XEG3KKJQ6edlf6FmHyBWgxg21bMgvllMlQnzpABOn2uEqiQdePwcla0Vo+jq7soAtRroaOt5ATI8PEQBLP+peO07I8gfKB61srvCnyN3Vle6iAUrmq8SuvUyOoyl5jXjoPeCP4jN162ro1hCLmPikpfP1t1hh+53bSD1yjITRbotqLC8lVrX+mJJuu+7+kEQ3dnSAFktVwV7NDUPW8JPijNdlunKs3gQNOC4NWV4EDx0oPUDaY6RIiYVLGvVO2PiVHRerikCk0wWxA7qbfXjxsnst7eO9F2FtaYsv5VaNkTf1Tqpihj7kOzNYX1bfDw01Y36BUJfVf1d4ZYMiA68buvqv/HgZwM93yTGOYAwmA/UiN+vv3qHl5cHPv/8c/zoJz/BZ/cnvH//awBgXwUb81/vCTIey9xzxTZ32UpX+lIZLNBkOd7ausso1lP1LYg8TDnI1usWnGSXJG6LZU0VAgTf0RuMNNtMsY9M+qVqfEuEShfU/Sxg9AGr72xCV0oSwENh34ffdH08+0iQcI0ibN7YjJK1gXaK3EsTrd94KOgGrYXkHGVHQY+tEYc1jY08YA2FUGOnTu4q2wxqak5yfbXtiZV7wusGi8USSKodG6l1dUDpZRl83dB0A8tLvyikTdazj/mMU8NsjvuNAQsB99QUMAaZEpjkar4mfFZvgQfUDM7fhTJlVwBOx6qgao4zqYzUHXiXACXkky6XyBpCU1ho4ZFNDoxi727//GDmeWsHamwhIKweFwFYDEE12iRmcAWx1jtwnsRMjd7682SFx46TyAbg2qGFr27TBJp19NseGrSGn8vJtDKuNi92EeMyV6CsAgUFZdE6F700ZEEuCwJVrum2vax0AJAVlGsdN5hmVbOCac3w/ExNjDdHv3faO2uNem/odiDGwFDG3IzZ4czgodC59sbJNcy+DKuF1kE4obHH1HVo9tYAb9QdWF/ZsHk59oqB1zQPwzaTpmy3YU1WCkxTIBpqJKtM3vOBcs0FSpuRi3xR/TQzYzE/5qoWmuxQIkHbkNAQ16OLGZYYj6mEruPeOYx+5LjAiQzJpyA47seG9uYzNGv4cHzAh5dnPD8/IzU58MPziZlfw1rHD3/0Qzy9+WxNcOO65XNJUeJNTXeaJ2IlQCQO7FC4rNzBXpVP4A7OTtEpfoGh8DqWrHh3pX+WENeX/iEDOCNg8G3XH9o3K9nkrw8d6DNK02RrzRDGe+g442fb/YhcSUE904+5frtDAdw0fNAyD9DpzklnicyyVLhm0fWPzuAF1/C1K7Po3uE2mV2jsksTT5fMk+6yzzCs5lJlNlPlaoDlprtjnieaxG7EBBmAxhTengnDgGGbWGFBNjyiDeJnN8f96QkG9kYS4ECM3ANcYlYVoZGgZhqjKPqevHiaNBI1i7YdFKGgCWPWQQCIDaIFx3m0gfN8Aep1sG4vM77OIRz824aB4i4DJrFWXgzXqmFYvRNmPjswLypbGc6JjbQoowAhnJT52PVQ5E+qWaFsS0ynojKW3XOqd0T2aMFWIGQjPJXVngk+4Rev5lrm1NPXZjApma0UwTo0tCYdu6qauZkxqe/qriav7CFac8IjqgRpKzFVtYyFO1+WOGrSnndVp1IvA40BIqgxMZ/wlmiNgbPbDdUEdSOrKOAIE4RnBc0quy88WQwWmDQzEtLU0PlMw+1+wzilpfCq0rCq3GKbCWul/39VA2JykVlTZJKUlihXAldNd7JewGo86MHTmwziZmioUl8CVZrnFl6j7367L5NN9q3GyrbPc+BnP/sFHufAj3/yo0WA6O1A0avNipGU6366vWbjdGmKxqQ4EdhN29BeNzfI1+Fix6Nko0SU2FT1zbLKpVNyZf31+WuspqeegfpiIRZThiHzFHycwACONzL4NCw2ItfbPhAA7HkzQiU+9vp49pGk1IVykkYWiz9rSMDZ/EsFgNWBEFxTzBesmwkgOHrTMuk86JzoRYSD3fpqNLORazDvSHGoWWZ1ZX0AjCyMVNnbexdlLVfGoPXGh5bkoBeVLSZHjMKBEVIBZ2gkI2SLbXioEVp/pyqEpsNFsUwqyty0O0FMLjsQ9EZBy9EReWrT+TqMyvagWDg06pPdCFjhzLkpdzrCFtRmnsgkRY5NOjaGy9MFwHo+XNAA529DUn5RPIWL1uJ0I1ZcDKMhUkA7GppGe5afETcIK4mMcsPtSgzmYneNx0Bkkoa5SnOtldR3q0AvOGVh25f2Ygn6OLQIUrcC5c+1noGSiaI6A4QSiOgIN3cNpMkUBszm+Thppe3uOFrDHGy89kO6kcdD3z04xMVDZnWG497WfuoSTQETaYNMJOukfPqBJl/+kYIGneuFe5CVbVUUxMMZlG63vrUVyV4GaeCu4BO4PZFEUHMkSjtTQd2t43BSZi23uWNXoBT6prOjDP/AZraZMgUlbofsT6KmKlaALuM2aoZ6d1arCVYkc8LA+QMkrHR89dWXeH55prJbxJGf/+LnGHPgxz/+Md6+fQtWjG3NGahDrth2zR3neeIxTwQIg0XSimfMsp1unN2ijD0rKTZnVec7zrTmgJFpWbGPeTSbvgmOWD0HB5Ld70+CwliNQU7IrdmCyFihNs0MmbDumrsRuN+6vhINSt1ZmxfRxpLsyNvtSfv74ywugN9mRjM4t8BAvxRkx9FvPNUikUbyn9uQ8+SjCgs9fDZmVc2TBhqBw52fIgPuRXGEmn4UAs05cdy5ec7HiZAtQjPAPYEc6nXQSiFSZSsclkHpfNKoC9akcyh/k1zwDIbgARfrRcF1WsA7aa8OU8bDXgbNyQymoTgG6iYYQPhrdyO+ewrDVlYbOeTbLpZClZNiMlSJegiXLeZFCb8WXvt4EW+8LHM5+jMkXmmH6f4KgVbAqyqFh89mJlT1B2Uz5iZTLyC7oUYWRw72knqDBQ3vLEINcR2gymACgfHygMHxdHuDOascbjpgkw3amJhxoh30OMqoioDb7CUSRyet2YF1ryK3T5Yb4Gga2j5ow+5kjkRO1BQ1N7K0DIn7reM5BwzGBnYWwcEAC4xzCHozNCQaOgYmYtQzYiDMOXDcbvBOcVtMboDeyGCakZgpoZWzgdzcMdMBuwu2cYzU3O52Q4g+2piu0sqlgq0f3H+asXAcB/ehi3TgNIYMgxhjCQQtZQoaLOiuKreSafTuaGk4WrDBmoHbcWcSFGXnXqkf6d23RosbqOdSTrL8SaH2BuqM7KBmJIDWbrSKljljGb15Nf9FbPnsszfo3fCrr7/Cu3fvyCgSeeHLr77COSd+/OMf4/PvfAuhHhxS7Cw1xscYGCZXhDRY78jWkWPCWsNN9hM1jwUAzpNC3NaVHJutwUnuRj3MIMOQrgYq3ScwknY0t6c74e7gAY90nOoz8FBOwpGNCESwCQID2Um09eG65DjkKdNCOlab16E6AEt4J0uy397wu14mQf6DHAoLDlB2QKtX4tlTODt9OMgNXyersP6yIDBhpSViYlamZaNSdIZKIAd8Ge3x/XvvdLiEKGGozJXY/9RwFuTVfVAj+axEKh29795C71wE8zK9iL2StqCk1kwjJJmtdWs4VQeWg+tx0NRtPHKVmnCW99QAEN9sBlYGse8tT3lyQllV7Xv+Te5yNdDmmLDOzCfEqtC2W7S4WG9SmPBmM63GX2HtwiCX+toYtPQjALYAKo2N26ou6AZJmG3j0pw4NWPCJiuAGVg4NRlMTj8jJRX1DVrz1ejtBxlt55y432/gOFE6uppDjDM+3/2VErcbm9JcU4PmYKsR9431HcJcC9J0GQaClYZdqpbsDQYG5uyhAHsSjhAUyuHuog82R82mRqSgO87zTpkF1vNo7YCn/GyMhApTcKhDHdiV7YIL0iiQ7B0xTzweD7x5QydToUDrPUJiT1em2XpDr4pw9ZZEdlgViqNn9QCNTqErcdB8Y+M+LsFfr3utAVjlnebNFjTbrGHofVbfx53MoZi6bxsmNuvo/TPqEbzh3ft3eDkfNO6bE8/Pz/jlF7/ExMB3v/sd3J+e8PLhA32jjNoHF+QaScp1ZOJ8nOqXmYIr+yTdHWGNdigGwUckaVA6kGL+SXQo9KDMFQ3svZ0zxDzjEik/ttZ4qPdGxtWHF9rsmDtux02xK9CNxnyl9k4Dn1saXJY2x51ss5HQfBU+oE0W+TgI6bc6FBC0MSYjRic4uEjg5D3HST5uO9pahCWs6EdX4ElYY/NyzoEcY+HbsbDJrQ1ofWexrTfh2vKrD53WVpm6tBAQnheG8uDZLBsNpzDWqEuEE8DRD3hzCksEH4wxMGKiexdVktWCq1HJYBhLvbuxcVtMh0xgnMyGaX+cnCYWEzfNOeDchhLPsEStkr2qhqJz1iFLK13h9ii8Uj7sRUUL0E/H6BNUCwWAnqEiISro5LpX7tuylzx2NgEZ/LH+XhNOnJlIE489gDhj4cz9uIneuZvKMGe1aFUW7KBEHj/xUhqOmjy2fL1XiZOqSkhBGbAQU6dw/RJy6dCtv1frBEBv3OwOznd2CCufzETrWXhrQEoHoDIdSBwHqyhWNptCSksVRWZ30as13xl0/71XoJpAgDBBYfQVqHBJFrCw48Tt1tE7dSn1nG4SaS1qIghvHUclRNCBL1v7rGfMuRVX/juSTXEesHzf3g/ZZEQ1CvfB1hu6H6RT6nmP82R+5SaGVuzeQyV27nIlxiITFDunNAgOgzXHm6cnhA60X3zxS7yI+tuOjq9//Wt8eHmPOU/88Ac/wHEjfbTBgEN7dQzuEa0zaL2XtXwKQurSCNSMjcWwKy2HhljVuiqCxynIFcnPTNnVdgYom4rWWM2xCT7RD8d5vsCboXcRcCK0v0rkxkO1vI0aHMeNEPTzy/N6FiWmhde++LhY/9GHwtPtvk43F99nBm9ayfTHeSLAJidp85TiFxskxXpIy7VYqaC88rbVBKoAQ/6q/I8Y/KjonTxUFJkiOZaONsPlYsiFXbg8VbvVRKtB8htCchfHGjsjq/erngQbRiZ4WyaBauYU/XHxsTPRUgdg77Bg5jjARlI/GDDGGDBvK3jCUO4Eq1dQVVQNBioM2Uw+J+L80II7yZxBVVwUZfF/vr5X9SmYUVSvocP9dXVSzoy5qi+IzVHVBNZrFvRmRrHXCAkNhfEvphBSc7jVH6mYabvxbY2CxFTl4o0iq+NWNEe5eaIM50QrTFeGS3iK96zpQDF59jMBaEavqqGekV3+cRhKEEdsXsrohBqr9L5PlOXEgfMEzgcW/MRgUmIv2hscXTPGkXruaiCDMHzzGwx9jd9sEj1x6lvtSFuGeMSgixfPiqe3Q+NQtQZMLpxHR4R8mcAAntjjOHu/63lzHXpycNbRD5hxnCrS1TsMBAbWhEIkg5mgl3lKJQ9a5ZOAQHffSN43XBAF9wYI6yfxhE3jELfaBH2GDtin+xOO+w2BxPsPZCeNOXGOEzMMP//5L2AJfOfzzxnwHydi1rTIRnvvpN8VxapTDV/OWe4um51cJT21AgA4SJ0EEvPqmSbOMeBq8JsqG1hR7DV4C4Sh7k837UkqtsdI3J9uaP0NY0xW3ORzrd6cmcgtYNXdVH6cY+Jxas54lyrdi7qe2ue/+froQ2HGEMaaKLvXq7T7OA6JT0JZVQUNsR+SOHtl1LfbTYNdBiY4ICYT8nkxwS2G200ZZQriiBpY0XCeDARNGZRZkjYJBvgxA822Hw7dQKV5mNV01GJUhjlGrIDIBJtTmkINcT5SAMpuhMasgFRMB5aPW61gDsBrAI5KzRLL2KX01D9Iqqf/cyZWV4bBzqhozwvUocdKzqytkpdMpl0F8JBW6XuBpgCs6mCLx7QOZPDVD2Kw6/0h5ERBjpl9wpeKlwfDhttY9SE0MCQTZ9Cyg/fRxeZVw874ne73G0zNdUZqsKcgymHzgsk6G6jgoZjYk8p611CmEZj5QDPH09MdjxhsxoagOWMWV7O9CVk6TIkHDK9sMywT3m+kH6uCAxIjILglAe/IRk+i5o0TvJT9ojLkdpDdYoKQYJp/nQtqygVfMND3o1Pw6fxMU0riptkPzfuq5mqNcH+SUt684yEocB32DvhBZ4Ju9G6KQWbTFjb2tV/gJo+ti/YoL2ZxBlgak680+mclG8zcKwz4295kLkdgWOLwjlNIAmcQULP4+eef06QxJrw1PMaJzImXlxf89Kc/xTgHfvi97+HWFExToTghOqjM7obeLw3jfKw4x74S128m+2sFm8YcGsAUIsIcgFGPE7KgaNap65kTIx/KN3fiRcv8XL5RKzG6sPw4L8IxrUS2SW3FJHNxnBeoldsGM8V2iqLVf1ys/3j20ZJyb5UpoQsq9ArDRgk48oou1Ek2QMyepdM4T0HulyphqR9zHTb1XqweeKNhO3j4OhRMNM+S1A/EGJoP7Qt6IQbaFgRTi7egkypXvWouZe3lx8N+SCxIoozh6tSfhdm2piYUAwhnTbDk5SI88Rgn1ce4LpRc+GYFZmCX0dVTOM9zQTxrI4GBD7l9i0oowzIZ2OpHAHjtXVTvUdhujRpkECI2H6eEd3btU5i0LCbIw9H7jRtdG57rJvY97mQf5eDzPFwVFZ8sqzphp0iILjiROrh73wcSy+qpiqambNU9lUq91HyqWBnIN/TWexdMJ48oaCbFpe42d3kKObo58qj3mIgx0PudMBDTM8yk2p+6tgQxd8KEN1UM3qgapt2H1lvrcAvtB+HUvtlFUOXowr/N2OCHMYhxCp/rH1sceOpqGg4pwFPQGw+/IjgQeujWSAGPohGrP6DqsgI9lxWToYTw8nGxUVHVmFFWGaxcvN94X5TFmqqB0PsNBLp0NDR9vPGgNja1h1g6b56e8KMffB+/+vrAl19+SexfOqeXlwd+9rOfIUbgd3/yE9xud0wfmOPE+XjB/UaK85hT8CV7IqvB/KDWpQbmVLYeOlQr+w41DDgyVjPRdV8QiVNq/jUT3Tm7pKkvd/SO+43V4Tk4i4XruC00gFZBgfLPokVK6RHovspDlP1aTx4qpOpvaPY3XR8/T8HZ6Mm2pd7H0RcuW2pUbR3y41O+MvI98saZCQEqFlMSpyVG0kJfA+v1gtcJRzXmL5IlLapBOosFxc1gZrgdB6YFym21Dp7MyYClTcXDgUKey1GGotnl3HOBi2PPstFRJnOLmwwggjhtk+f84/HQ4I4bHo+BBgV1NdOO1kGIdVcKR2PWwOoG6/5UmV/3qCqG0N/n4CDpIpovczyse7mrpr3IXx/06ynqtVtreNEov/v9Lt4zyA7SgVrPPwTZFKxEnrVowIsXToZZTakr0R3ZO+KEt8ugnwUxVEAkDt/7nuUMEI+fEeidjCjxIEg5RBEbuMHDUlkpKxVWHyeHOzUlOCnaZW5RIH+9HXwPL6p1wSGEjvpNliLjlPrfkC433yovnVVozSowBLyR/ZTZ0LqtPaEfEL58qE8hRpjwfzoKqLcSgXbcFosnFRxabxTdZUGg9Mih/1ZVyNKwYEO5hLIa3r55g/OcKOmWVTJg1WsQ5BLKfJXYuHtNNEekoawmuKfGq/3pkLW9YB13ajMip0SakEsvR7MaEk/3O76ng+2XX/ySnktOHcOH8wU//+UvYDB8/3vfx7ffvsHRG87zhdCbmuS3G2GzOeayq2iXqrw+X9mtmEGQHsk2zUj7nHNIS9JW4jEGNTLNydojy0pMS6OFxePlgX4c6F2Uftt6oSb32siJ45BZpNZcRLBShOH9hxfc709MktHXoTLmwHWWyN93fTwltTvK1I6DcqAbANzubEJNcehTGTbheTWN3eDd0OxGCChChlCGc8QKNnOMjeFfsnS6tFagYqleGXDmpuBNNb+XKKsMj6DiAgVfEG7gQBF+rxmDwpzatJCxl3QCXY2oEVLDIldPob73UMbgZgg4RkzAO/pxR1lnAHy9Q3YRubIKbqY5T3zIB8dBVsAWJbJXD0Sw15rVup6Uvfp3NevacVvYfGsd5ZRalRY/08ZPq7H6eDzWwqIdcDV5r/Qd3V+UwtVXZZBgcKhy21tfFikZEzFO0nJ7p6V6EGcnnCCx4TlXhuwgpMJG2h4BCmX25cAZQwInZctmrvkIYqqZwxuhohrEExHo7mz8ayNXk7mSglmkCCeFMNJgLgq0sHXvBwVZMQkVJVXazenHAxB+433fCdVq7rfO945YAek1XGgwBINCYsGNrXW4JRBJXr8U0xGEMjhSvGywyahrSrCqam5i9aQeK4kKTCzIHiTbDbpnsGIF7c83LmuiLm/FWJqAjpQxzw1nOiu4DPYZw4B8jHXwFVnDxEpjQ7yrLyORZX9DqPcc+Pr9r/Hy8rzW+5zAL774Eu/eP+N3f/JDfO/zb2kKWjnTalKjDgczkgOscya8GglKDlzzzanliZwy0zOMk5qgIRqtyamA/TZ9T5uramquneou/U7hDdqQUG9BQsVyOvBOyGicA827HGEnbvc3mLU1zUEuS81g+Ac2xIt4EJfs7BvMk9ihNxltCRZyndwQbzksERYy+wLYGiZH2o2wWGVdJchaFrTJGbjVvOSTKcpa1n+u7NaMODpUTZg5vEUhTcqqqmm4BTSFtRZuzDYID7ZSQe5uv+ZKHB1lwMdDqDbuPiAolCF/vQQ/5TFUopsuL/g5dQgWvTJSGRub2WGhEnLbQlyzyJUtq4FJy+4d7A9zTMwVnLp86tcZouvaIyj7gaomrgrnTEOOLfU3K1w8kMnAZyBttTDO2lCmMji1oev7NmHr5swS67kVldi9IQfW9y5vrHKWpENqpy3AahyrtwKxTLSuVmWSA+WT1fo2bENtT9+ZYvHyqyrw1sDxBRrQdBNUyJqBDdVTa8J5r15eXpT99XVfATVQI7FsOiBKq23F/rYjKQaXq2Li9zA5+0Ykjl4UY6Bma9CMkjMxWO3xHufEhYUmaA01IS9oJuKljOZh69WEtU0emPr53jhGMl5Rb0v8SCFdjfOsYxvV/zAevCtIik4egq9769rfPCCGxGKlrD9ax3e+/W0cx4Evv/oSc75nFQ3D45w45zvgp5y18d3Pv0WWUQQagskIFCuU4Iwh9pVvYgfgijO6X2DCbIIMe+/AOXDOCdgAkmsaBqRNIAbmPFkJNfYbzAjTTUzSkN13zAKQweqlqzk+NVbgdr/DzWmTHTzcem8Y51y9zbQiIXzc9dGHwtHJbpnjhRmSGn3325MWTy6GEBt8iQxjMHN2+L1VtkFhRc2RRSbOU83nZjjngwwmfMPnHQp6E6sh5U5ZXQXZrMqC8tG1mF3NvWpgt+ZkGhTynI60kAK5bmECi3kQy0aDfHhSTSNJ011ZxKUBD2Bh8rFgsU2l3PJz3RcFmhp0UpDPFTq66hZ4P7ahHaBgJzqkr81f5SiVs8Ri9fKZa2NfJ7xtGmodmjWE/PKZuq17DgXfyLmsH1yLvRTD2kO648LxW4NNsrG8HTjaIQ+dud6r5gFwepresyoPq/ffGWdvjolGphj0Q6Lj9oMHcGXXeQn+rDQ4a5qpTXHQsbJoU5UUebFSmROIJOVWf1600aama0FGtyQkuCuDrmBD9XOtaXOK9wiRUbR4DsKnRz+o/leCAQy03nH0DszEeY5FJY0wlDdV9RfoalqwF8Nab11JSMPuQZFWGetzuVyNpXhGHX96rgwRC/Lo7TKJzOqRqx+CUKbcqU6fhFbo5Lur0NQagYESdsM6qBe8bAYXmSQz8XS78/AAMCbw/PKCc0xR5jnn4Jwn3n34HD/+4XcJB31jT8Fj2fUkwDUEyINIiQTbBUwc5fzMBGcSMW+0D0ervhTNIw3laGyLOm5Jck6MARONvWKDBCWMrbIracUu0mfigCkmy65T1rB7tIwN+Kjr43UKCAUANSkrm1HzRKiOOPrMQDf/PcXRrQHaxITnea6sq/eD8vLBWaWrTE1mIDXoxL0hrQbay+PHCClwvSlA60Zuh07BXsq+afdQjAKAdvVFPaUgya1cWFJBI6skYANR9wMKUjrSVxZfCmRvvnxqXgVVyB46yg5jN4WRlXW+roTq35XN1wZ0ZRZ0T7A6T1il+DaUM5B5U5lZ0eSKVgewKtqQ2FwB8QpSlQz/mu2Snu9A20I0A15rBVDQHYAEGlRB2rYNmDO0UXRYybcplbGFehHuRVEczERVtcXcaxVQD0EZJ89BHYSXPgXnhRdzjJbpGRw0dK3GImssacOMJP1xTsASbZY3FdFzawe8S9Cn5KecUDmAvgMpi/J+cRI1xyn4qDQKC8K6JAWLTWSQCpj8+iYbEFQsNsIyM8p0MgDnM7GZgnUPwUR6ZroPhyctE7SPK7Bw5rCay9wS/AzaozxA6WwMq+ruNWWba7MCB2G9OWJVDpXglZXOCNM8FvWeMsU8TMUdJQZm6LcbrH0bAcNXX/8a795/QCSnJcIdj3HiF1/8Ere748c//D5iDJxzLCsRhg+69U65Phcpht+7mFy7ektBXeeD++Uo6npzjKlYJLYkYU/ANVejEBAYR2fCSBYgLM494mIsshfCOEnSTmKORGs3HMcdKV+mcvbdyd7HVQsffSi8jIeyXrFRAgAcERpkg0TGqVMs0RRI0xOHFmCMEy1pimXYGVTAKDXPRGJqodEywpwzmPcpR/y13w6Gl9gmaqwGiPGlbXiCttt6eFINU4FamXBX45MVA4xNMTJQuMhhYIPOEmdoiA4kfsoyeGN22U2NUUYWNcdZntdYwohaHIc6thXIBY8h4dhMo5q4RtaTRHypCXF6v5khSYiYKKL5VjY3M9D6gThPuCVMCknYpsFVFVSVCeDstaiZnuW8mYGZYkeAz6c12jVk9tXUtcrkjfRdXw0zUvXQ+Gc82JMZWg9YA2zSrbQVBKXnj4IsTLCHuOXlW4SUqygAWENAwq9gH6KqolwJg/67NniqIRqxKMcMidesf2etyzLZ6ns2tOTPODh5rAbYA4Clo/lATciqw22OwYrJuYamxJXNG1p/2hs9CwqDMkZWceMcgih5KJgye962orEOZGc27k3ZEviznCGhqt5EIFDgQQiSBJbinZsyYFm8bP79Zuz5pWy0qSCWiG2GdBSy5o4pFbDorInl2dQ69StlRd76jVVkBHs2g84GkZNVlMvYrjGZuXfHdz57IlvMDL2f+PD8DE5FM4znB/72P/wU52Pge9/9NoOn1lLdtphTA5Ig91TSy4mMuGJQVVY1U7DgPo2lDdrisClMCLU31lkhyIcEA9cB2BeqMOcJWKy13vvt8mxMDf2OfierLebAIYiJ60Qq8rLn+Ijrt5qnkDBtPGL/2j8IY+mXCgytGRCnegZiZSS9jhZ1NZXldwdwKPO3bQ1tpmEzwmh9B5iYuSqqYhCxoTbYx0hSAccMNL/Jf2U3Rys4Fw215j5QQ8DT273R2yapdK5FmhaI+eD3MGV9mHzYMGZgeqCHbHtZ7TzQjztaazg1W7a1MoXDypwz2UvgLXhNLKaNSKIfe8bs05snUlO7fHxcQTKgwM77Bz27fnQgpzZ+vbegNqX1G7OvmQ/gwkTVAzs7bdrcDQ7jDEuM4asnUpYHrJaYUhblcCYYrG3qvSYDjPMAqcTCtNZgpQy+wHv6VECRDwBDW+V8FERpRTmuMpqTzsxTJodOnUckKekmFav1S59BTqeAGrUyp4sQNVBZMQzIUqCyghsAasqTgwdnQYleh4wL08tEd9p08FBjwGc11WSAJ3NIHRR20JYZ/QBgmtvga7CUOzn9I5MJk1FUaap6PUSa4BJGtxqKJCZNdRykvG3eFptlaXVCCZH2usmEjYGPGbhNHUIFLehVKGrlIRcw4vHJuzUyZaliclQ9BeOqwpplzMmEw01eQUi8eeow/wy32w1ffv0BGYnn81mfoeP5ZeKnP/sC5/mCH/3oB2je8fJ4oD3JKhu7MqO4TuvO5tqfTDJqRrpQAkGiXHLnwjkV5bAElplQybCWMu87nSOY8MROHOYDhsBNPlznENLRSLWr2NNlqU9bn0ty9hHXx1NSG6XxMYNx/PKwq0R18Wbd6V80k3RA08qJZDOxJoMRZ2fWU3a1TT4qADCn6X65/ptUuqPfFmOkaIIFPawIm3Uy7iqjoRouiZRgzQryApCaHgdlg90b6AMWm5PvjtkPPdDd0E71HLaNBpuVkVObTcDJ3ENsyEkfqHkUBZGw8mHWVfzta/P3Ch/Un728PAAddsVjziy+96l7yKy/4BoUrU1Zj1f2kmT7bEokyyhbzcK6zWy6Et5yNk+d0/DYq09Y5vLVf9R0urX4BV0BcI1XjZxUextQDppzsjoyiXtgV12JqhxRcPk7e04CUv0Mcf2bMOsq+b2VXkGVh/QYHKE4BaMVbKK+SwCp6qIGQL3OwqquYdCDGY5bB7AH4ZTNxpgnyr66YfeFjkZmzRhMEfrtrp5drviRCqjt4O9vK5RDBow1UnI31xtIOCgaLHtHnLjmzhnLMKzmbq2hmXsd9t7JABsbwiH2LigZK83GKFuToyyzdR+sejXr/1AMszkoEO0SxD7OBx7jBLKtng/JAWT3VBXLw3uI/TakVOawoX7cKa51A74SHG0Ncw58eH5B/uKEe8N3Pv8unu5vBDVTiV0BxIz7ObJmjhfDzhhdVKlWz3D1oRxK1hQnlUBUdd36hpYjVRle+ntrX1tV7bW2GMC6aM2PB+Gv8ySqkODazzlRvbCPuT6+0dw6p5OtRlLDvVF8k/qgKffEqQ1Pr39uHIdrbjPwcg7Qzrmj3+7ghK+9j8rP6FhBb7NNEgyGgZ3hTg2cZwmqGwHK5DvTvoU3FqOGn5k3NiXIgWh6ZAKxmQYpMlcwTqArO0QQmtk6jR2oWNFsp9P6+1cxWgUMaCFx4SnIJZ1Ol8IZtGyuMYJN2oZzUMDWFOgrgBU816WkNZTAiz2Oo7XL4nLpC3NRM4ELFlmGgvrYxV0vh1xAyEEFz1n0U18ZfSRnScPohIow6VauTW45p6aU076fTybgXgLKFUcE6zE7b9Xos70B3AqT1XEhSIjYMenGMSfmODnXecFvg7YUqpReM+P4uThbwVZiEYJCijm0YB4jJXOxi3RvYQavnoIzW+zRNEWrmtDMpcsRtw4WuuyS6bMOg6ULkGWFHZpAR0gDehas1rtsRrb9dnmURQSmDjz2IrRO9U9vTUOaKiDWK2uNRUFtsXzAikyB+jzm63MVsyymPJAa1ewkVvDPemdDmWmmRvIOfobj+l18owK9iXIhRtDnn38G7zwIvvzyV6y+wP7UGIGf/fSXGCfwox/e0VvifhAGdWkv6EyqoUjN9gKsClSQngEXAgEATwr2gNfxQDHymujxechHLspJgLATK6H9PpHJ+6R1VfB+SnzYpEGZ8wR0Xz/m+nhKqiZEIZIwTRqyhTZDNZNSi4FfhMKOWgz1jTlYoho6tAmgf415+dcnIlgijzEwzoFSw3IhbVdWrkZXzqQ+xuBJ3I8Dt+OGmCEbZbJGxCvhQyMwTDy1rQSah5yb5P3AOeTaqIYkh+jIijiLHqr+xWTwvt0aTKNRmVEROnFl23aBFzKrEoJU/+pTCI7Y86CB++2+mu/UdNCa2ZwOmMhY2L2nOOjasHOwCfrhfLCn0ehkGhpQw56HBDgyPzsas+xi4pgDXtyT3CyJ0OfVToAZv9NjFq14azRqWIurJzE0xQwQlhwKN6oGYWyYP+TtUCNGSQLQveTbMpDWIaYMlhAe1fe3m5SxTnUyG4wJ1/pxc3i2tfHXQCBtQDO2gc4YIgjogNU6JxRYuPs+RHejtb43COVZHcCN/H+Xd5iA7a1YZ+bE0ZBV8ZQwsJIKfmYXHXFBHFnDg0IQIdbPU/3NNWwpG/J0tnsaM3/GJlb0qQqsTNoqWK33Mx2ILhqvOPvnORasl1cfHit2VCwldtlzQPemWcPTceDxYN+yN87ntmb6buoPqR8wMeAdcDQ2eXMg4Xh7P/CjH3wfyIkvv/qSjNE5MEbA7cAXv/wazx8mfvd3fhff/Q5JA95srQXSzKkgL8gbGisAVQKr0tf6X4OY7CpG48HKR7LZihmB8EpMeOBd/dma70OEq4AJcmbKE46T/jgYKLdlRuZakr/p+nj2kUrqpslJMStzLWJaZeGpksqFs8UrJV2TqVdWFhoymCp8bSkvAJpwgxayAB6Ph4J7ipqoEtQ2fsfmVI3Y2wu6MgjibsXjt/3Jgk2Z7MxcpkRkxcdg1i0h2SiB2sZa3RpHLrojs2A0lZR6n2psE+u/NA2NAaG3Jq6xkEevakjNP5XuIcinKdso+qkK2qpdxMqthh8P2ZjczGMmHucDHo5+CFsOQVnQ9C6UJqF6HBBchHUvTOwIegkJPnCK3MiADZXQTipssvnvveY/J6ypGTnJUgtlOVl0Tpg2gyEeA03CL3M5mUINVJT1hgHB9ZOhXpGR7bUEPCb4RSyY405v/1DF4UpmXGSAzFxe/4pVpGU28sL5KP+usp/iQENqtkVVMnTlpavnLpNDDESXjoRNyjRjtaQDkPtLWHwzdDsIAyGXu2dzw8ihddRgkAArRLXUvapKYpaYyrbNiSE13xzkzUNMuKxeSDFmsA7ozO2ZtZxDG/uDkbGC2sgFLKMYZ5X0ZE6RP5qgP/qA0c+JmXuXTcx47IH0RAqYMVunseNcs4uNincEPv/WWyB/gGbAy8sz5zKEIyfRgQ/vX/Czn/0CYyZ+8IPvYVm1aB+PmDCUE3Nb1XRdy3JG9jfeC2XZLMJt61OMvyJPEFJkHuSLeRcrLu73aY3jWV+W0FG6EpGB6GK7vcZeXl7+88H9G9dvoWh+LbaJZICFuTBNWWY7R9qN84Hn80QNbi8TNTPHeJwYY+B2u+N2uyEGXnGTKzt0cxlsTfTWcT9uVKJ64a2PSkqhFgEnLaXjdrsp+x4q5xho5xqj58LHuYhOYfJTNgut0fdlDbrRxLWXx2Nlm/1oQKOEfA5ijYDjODoyaW+xMoAEjrvM/jS17SZuNX9AdhRQNmFY81yLVtt7R+sN5ym4zEw6hIZuDH43wUIpnPicE4fggfl4oAvf7tlQrDrqLaTQdtJjHU2ZBj88D59iTFWG2egZYwzsTfQ6PktmsP3YswjarVPjEhICNhOr5cJld9sOulaN+oJ+UtVkkzI4lvit2CwxJ8SIRk3xM5CtZdbonzTnZlsB+9CGekx12MFX4Bvqh1Q26E57bcDXdLCq+OqgPw7aprycD8wcuN/vMDOc5wvKMZaU4IHjOC5QkBTYjb28BHCeDwZt53OLBM5z8IA+mizleX+6gv7hHPc5xoS1A8fR+Wtnhj3nKU8hHaTJMbW3W6dFzGDVWYaQhPSYfHhreHk8gE7XV2QCrSHHnqv+SnyHBh7hu0pmUGX1ZnActztdZ7OqD9GYxe4a54POtlIiG0jxpM3DoednGOOByIG75gs0370aJnwDb988wX/4A3z91VdAAGefeP/+hdk8Er/81Zf4cD7Qbw2ff/4t9UBrj8qmR+hFa9xvpQdhVi+PImPf5tZvmDkVA2ks6O5rTniNKy2Pt95rCtvl0LPd8yPsxD1/73yudbAQCqXjLCn+hvvtgF0o5X/f9VvoFFh+1IZt3nB0soa8GSleMWnrYGQRlYg5IpaJmbetigWYfZPXjVdcfoPTMKo1ncbMVjoKI0/c77RMmDFYdiZERRSSHYFzcByiuWatZlAeL6imYAZm9W1BYNs3SDgomxjocnx0wURcaCDZJAShZWUnVA5XA6yEc5WJwVL3Z5d5qb9XjdqCWVpzDamJTdFMLEyyNUOcYmWAw7zprFj89lgZ+HicrMIK5hB32kD4IpMWHCXGicz1fBZil8V6YJKwaLatr7GVy59JuCszU8b4ooy21tlkBplmrGpAPbTGGCJNxmlswrlxbjefcergF9tLMNv9fudBMEyWJII+xLIpTQhhtrmpgYLJxpyarueC0nKt2+ac3nfOueiJzBZ92bQ0J8ssIjR8idcYQ5n8hoQK06eoMNdmZ6Dn/jl6XxnjrEOXkYLB0EUNNwVbc4yXk6piI6z4mAOtH2hOc8qQsJHTxLDsQtx2VnscN/1akGnwc3GYj+xBTmHt0LnuHFA0k3TOyFjsRdZDBQsx8TKbGA/uD7VqZW9R0KT2Nti/DNaAKCM/V++FUF85qNJKmk3brkougOQEu+YOu9+Rn30GM8eXX3yNpzvvyzRWHR+en/EXf/3X+C9+9yf43ve+w/Vg4D65MARJPcVSOZuTsm9Ga/Kt1cBqQQhoV9+q0ASuo/vtWMlJNdF334EHBfsNlTywB8t5L6RAO/gdEnT87a1zQNVHXL/FoQCOpKxA6iZs0iu9QorZ4QkcYiJZY/CrLxwz4J1+5WNMnHgwEM1c+gTVqzh6bVIO1amGIbOfc83DXZoAooxsFAt6gqvcy5DfjWALJPsjMzFEV0wwiyCsVVXDRSCDzQIA2OQlxts0SrK0BrsBVVBzQRvkW/d1UBQcVwsgMoBT0+uwvfRTG6WcUVN4JfsIMvOtCVAGuIWCoQLOmDzQOv13MiarP1E+K9M+R+HBVHwXpg6o0Z+5NuB5DvTjJsaVMjGzZZQXshyBGm7NHPDy0VHOpYMPlrLNuAjkGAmIv1sjFLVOJcUKp47EktYrZjwoS5ENkBCwqMXw1YfhihEWZKpeXHhwqAHaHN6AWQdfTuQZGLEtSIBAzuq/0COflEhbme15Dok1udYiSTOtJKOahm6+SATUfSQQe170TCxcn9YJvgIoAJE9lIensnWnajyTfZPSnTSnfoNzRk5i57Z1R8203+VJxco74DY5PU+fbVVeYFLkxn3v2eBJFa8iiPaFnqGJJg3HdM6mIOREdS8hQluH8uEmGEx03EY9z1CALJSCg7k6xgA8hKfPLdYsdp57h719i+N24PHhBPDAiInz8QBcFtmPxM9+8QvAEt/77udoZjgfD1WJQDW+9XWE7lTdKaPCQxTpgtnMBdsRlcjYYtGyCipWX0GYrwWsIpHI5SFJCxVESk83aAJiBgXCMUvs+Juvjz4UvHVRvVIjN3d5dJbiTwyNeU7x5NtaLEhmQCMmcupnM/B4PONQeZcgU6DwNroHMmg0L5ojm6F2a0hMUfr2MZxOwY5lYeoMHMw4xQ5Sxmoo//Ht4Y70deOLPUCjKt78mszExVsMjM2iqOx5jhokxN/vrcPbXBvYdF9oj83s8WgHS3GAMFcAmUVVU7Ms6ZLZEMgGLQA2nY9GamQmacO9GlIZcJAO3DIZaDKQsviGEQJpBty6i0ev6VRq/nOdDcIeYovwvvNzwYjXxph4e7uvzz0jMcdAKqghOGNhVC/JN3mhAlNNQqtEAqbpdgpUDOgOag3IWgIq69b8C6njicNrdkSSm+9OcdCqZLzEb3pPFyV0DLy8fFhJQmg+R9nHu3QqdbCYmEdF8+yy/H48TlVbohu7K8By3kMsx9tN1U4kcj6ANPZmMmUlnuvwSmP1Q6zetJaKgsi+REGMNw1QOs8TaQ2uqmoEGTgmVt6mROrPxyBN3Mifb409EELCZVEvooWgsBE0iKumvylh091Fhc05g6NJoTXWFCcAQGvAFAjXpDxVGN44e3oiyESC8dlmseeaqnAoNiTFzAuTZzLhtxt67/jJT36EX/3qK6QlzjjxMgasd4wM/PKLX+Lx8ox5PvDd73wuFqXIA5FI9dUW/CyNAdXGD65dzUduzirrOA6cjweKGXhFEB6PU4nXpqkTRrr0eyxh3kWKYELK+fAPzFOVJehujUIe5vlRsf7jxWumAeA5Fw7GbEU3XSXvLAdUN2SasgxlWJAXSAaW+6E42zw45K4JUkId3HhFTSQEQ8VmuzXa6ZrhjCkHVdKHqEzkVKKZNWAcmGdNe7uRWQFITHay1JrlIBqryRlzwNKXH5Fhl2WMZ7J6tgZyprngbDXs2mXBnAvKYTa1B5RQoLXpoE2c6jGmVLhFKTOVjonmxcFPpBEKqMbypuBukd4KhIbVuCUWznImUEwbwDPFyjENA+I6iJxsyKGmTPEzWbEi5sTL87NUuDUiVVThMRBl4TGUSBwHxVSRylCx7km99pCKOmaw11H3rKpKENahknNwbkeU8liwkO25vCHa64IqEyvBKd+iyMCYD4zzJFupPpd+pogNqWl/pkY2EppSdixCQO8dsIYRZeNCBSugcl7PvbVtQseIRl99Nt1tQQ2td8CZ7CAn5uNZrDr9476y4utFFt5JdWsme2E5cXu64d4pppvng30aM1U2Jgtyqo9JbpjUHKiHgeTBDyRnj+dEapBPVWSEuYqWkcJbleUnFv289oCrKhqDvk6GRM4TKXLFUAyB+o/npOOuAhLHWCaZSRzmxEY1k9PSl2i9ueHt2yfGL0ucOREfPojVw17p88sz/uN/+t8xzxM//tGPqSJuHWgc+FVEBFbyPLha4xhOwp1cb+dJcs5xHKtKrrVV65rDq2ocbsO2nRFLTZDlnCfML6p820kgtIZcMHXGycX/EdfH21ycD9SM3CZLijEGrDment4gk6IJCBtjlsyyMTPJvrDETbjW84PNVmYaVxZOneSavtZsiY16u+E4jN35AMLYYLKkRN4gyqcp8ETiODoe44GYkzizc2JbV0kWCn6lCFoaBC3kso0oB8ij39D7gXNMnDFAwY4EdwpQY5ww8IHyv6fgLpZ8qT5Gxp5CdzTitUOBlpuN2XBRMqEylQuPvRx2VQ3AZMDVgVRNTFJMqSuJbWoKJOXxMaewZX78cZ5AS9yOju4XUaHsGGLEhlGCWHEIajsOHgT5eDDQqWlPVwRWb5UVldarLA7coGAEnIP9kEOinhq5CsNSaBuKV8be0BgTgbFEP5FF8yt7c/Z+YkL3uMmMbTvy1ihTQ6rxXsIgId2R61AnROe4fDRWwGJNjaCtxYL3hDUf/SYMeq6KmLTWy4Y1VYBGGJS9fL/sEZdTAP/XRPBwZfpYyRYTk9v9DszA4+XBg1ZQUFGyY06cpfYXQyy0j5s3zJOwHr2JhuY8dzweD1RzFVlUawV9q0NW2hNLJDqi2Ip1/1BMLDHqdE97PzDPcx0KqQrC9PMLAjYRE3Qi1pS885xoxxvMx8AcWUUtAOpS6GuWC/qOEXj75gnnHPjweCDd8PW7d3icJxNCA55fnvGrL7/E/bjhu9/+zmJIsTp80T6id1FrWAfiDA7t6Z1DdFbfQ73Beq6L1iyI3tds5Z3gER7mfTvPF4R1WBfU7EYAvaVgVO6t83wgI2St8Zsvy6tq4tP16fp0fbo+Xf+nvj7u6Ph0fbo+XZ+uT9f/Ka5Ph8Kn69P16fp0fbrW9elQ+HR9uj5dn65P17o+HQqfrk/Xp+vT9ela16dD4dP16fp0fbo+Xev6dCh8uj5dn65P16drXZ8OhU/Xp+vT9en6dK3r06Hw6fp0fbo+XZ+udX06FD5dn65P16fr07Wu/z+GiaDDjT3NkQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Exploring the data\n",
    "print(ds_info.features)\n",
    "\n",
    "class_names=ds_info.features[\"label\"].names\n",
    "print(\"********* First 10 class_names\")\n",
    "print(class_names[:10])\n",
    "\n",
    "train_one_sample=train_data.take(1) #samples are in format(image_tensor, label)\n",
    "print(\"*********Take one sample from the training_data\")\n",
    "print(train_one_sample)\n",
    "\n",
    "print(\"*********Single element values\")\n",
    "\n",
    "for image, label in train_one_sample:\n",
    "    print(f\"\"\"\n",
    "    Image shape :{image.shape}\n",
    "    Image dtype :{image.dtype}\n",
    "    Target class from Food101 (tensor form):{label}\n",
    "    Class form (str form): {class_names[label.numpy()]}\n",
    "    \"\"\")\n",
    "\n",
    "print(\"**********Checking the min & max values\")\n",
    "print(tf.reduce_min(image), tf.reduce_max(image))\n",
    "# Values are 0 and 255 normalized.\n",
    "\n",
    "print(\"******* Plotting the image\")\n",
    "import matplotlib.pyplot as plt\n",
    "plt.imshow(image)\n",
    "plt.title(class_names[label.numpy()])\n",
    "plt.axis(False)\n",
    "\n",
    "\"\"\"\n",
    "    Steps to do before forming the dataloader:\n",
    "    \n",
    "    1. Need to convert uint8[downloaded type] -> float32\n",
    "    2. Make all tensors of same size\n",
    "    3. Scale values between 0 and 1 and Normalize the values of the images\n",
    "\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c55f1ea",
   "metadata": {},
   "source": [
    "\n",
    "    # Steps to do before forming the dataloader:\n",
    "    \n",
    "    1. Need to convert uint8[downloaded type] -> float32\n",
    "    2. Make all tensors of same size\n",
    "    3. Scale values between 0 and 1 and Normalize the values of the images\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "24e5c7f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_img(image, label, img_shape=224):\n",
    "    \"\"\"\n",
    "        converts the image from uint8 into float32 \n",
    "        and reshapes the image into [img_shape,img_shape, out_channels] \n",
    "    \n",
    "    \"\"\"\n",
    "    # Making image of same size\n",
    "    image=tf.image.resize(image, [img_shape,img_shape])\n",
    "    # Convert into float\n",
    "    return tf.cast(image,tf.float32),label\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1f675fab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 223.5, 223.5, -0.5)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "preprocessed_img=preprocess_img(image,label)[0]\n",
    "#plot the preprocessed image:\n",
    "plt.imshow(preprocessed_img/255.)\n",
    "plt.title(class_names[label])\n",
    "plt.axis(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "eb0dcebf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mapping preprocessing function to training data and parallize\n",
    "train_data=train_data.map(map_func=preprocess_img,\n",
    "                         num_parallel_calls=tf.data.AUTOTUNE)\n",
    "\n",
    "# Adding shuffle, batch , and prefetch to training data\n",
    "train_data=train_data.shuffle(buffer_size=1000).batch(batch_size=32).prefetch(buffer_size=tf.data.AUTOTUNE)\n",
    "\n",
    "\n",
    "# Adding map, batch, and prefetch to the test data,\n",
    "# Shuffling is not required.\n",
    "test_data=test_data.map(preprocess_img,num_parallel_calls=tf.data.AUTOTUNE)\n",
    "test_data=test_data.batch(32).prefetch(tf.data.AUTOTUNE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "986ba26a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<_PrefetchDataset element_spec=(TensorSpec(shape=(None, 224, 224, 3), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.int64, name=None))>,\n",
       " <_PrefetchDataset element_spec=(TensorSpec(shape=(None, 224, 224, 3), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.int64, name=None))>)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualizing the test and train data\n",
    "train_data, test_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "55e05d67",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating callbacks:\n",
    "\n",
    "# Tensorboard callbacks from the helper functions\n",
    "from helper_functions import create_tensorboard_callback\n",
    "\n",
    "# Modelcheckpoint callbacks\n",
    "checkpoint_path=\"model_checkpoints/cp.ckpt\"\n",
    "model_checkpoint=tf.keras.callbacks.ModelCheckpoint(checkpoint_path,\n",
    "                                                   monitor=\"val_accuracy\",\n",
    "                                                   save_best_only=True,\n",
    "                                                   save_weights_only=True,\n",
    "                                                   verbose=0) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a4f42a95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Mixed precision compatibility check (mixed_float16): OK\n",
      "Your GPU will likely run quickly with dtype policy mixed_float16 as it has compute capability of at least 7.0. Your GPU: NVIDIA GeForce RTX 4060 Laptop GPU, compute capability 8.9\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-06-28 11:02:29.686828: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:910] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
      "INFO:tensorflow:Mixed precision compatibility check (mixed_float16): OK\n",
      "Your GPU will likely run quickly with dtype policy mixed_float16 as it has compute capability of at least 7.0. Your GPU: NVIDIA GeForce RTX 4060 Laptop GPU, compute capability 8.9\n"
     ]
    }
   ],
   "source": [
    "# Using mixed precision training \n",
    "from tensorflow.keras import mixed_precision\n",
    "mixed_precision.set_global_policy(policy=\"mixed_float16\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "154dd574",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Building a model\n",
    "from tensorflow.keras import layers\n",
    "\n",
    "# Create base model \n",
    "input_shape=(224,224,3)\n",
    "base_model=tf.keras.applications.EfficientNetB0(include_top=False)#Dont include the classification layers.\n",
    "base_model.trainable=False# Freeze base model layers.\n",
    "\n",
    "\n",
    "# Create the functional model\n",
    "inputs=layers.Input(shape=input_shape, \n",
    "                    name=\"Input_layer\")\n",
    "# EfficientNet model has a rescaling built in \n",
    "# x = layers.Rescaling(1./255)(x)\n",
    "x=base_model(inputs, \n",
    "             training=False)\n",
    "x=layers.GlobalAveragePooling2D(name=\"pooling_layer\")(x)\n",
    "x=layers.Dense(len(class_names))(x)# having one neuron per class\n",
    "\n",
    "#Seperate activation for output layers for converting into float32\n",
    "outputs=layers.Activation(\"softmax\",\n",
    "                          dtype=tf.float32,\n",
    "                          name=\"softmax_float32\"\n",
    "                         )(x)\n",
    "model=tf.keras.Model(inputs,\n",
    "                     outputs)# inputs and outputs are already defined but we need to bind togther\n",
    "\n",
    "#Compile the model\n",
    "model.compile(loss=\"sparse_categorical_crossentropy\",\n",
    "             optimizer=tf.keras.optimizers.Adam(),\n",
    "             metrics=[\"accuracy\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d0381e79",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " Input_layer (InputLayer)    [(None, 224, 224, 3)]     0         \n",
      "                                                                 \n",
      " efficientnetb0 (Functional  (None, None, None, 1280   4049571   \n",
      " )                           )                                   \n",
      "                                                                 \n",
      " pooling_layer (GlobalAvera  (None, 1280)              0         \n",
      " gePooling2D)                                                    \n",
      "                                                                 \n",
      " dense (Dense)               (None, 101)               129381    \n",
      "                                                                 \n",
      " softmax_float32 (Activatio  (None, 101)               0         \n",
      " n)                                                              \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 4178952 (15.94 MB)\n",
      "Trainable params: 129381 (505.39 KB)\n",
      "Non-trainable params: 4049571 (15.45 MB)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4a47e34a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input_layer True float32 <Policy \"float32\">\n",
      "efficientnetb0 False float32 <Policy \"mixed_float16\">\n",
      "pooling_layer True float32 <Policy \"mixed_float16\">\n",
      "dense True float32 <Policy \"mixed_float16\">\n",
      "softmax_float32 True float32 <Policy \"float32\">\n"
     ]
    }
   ],
   "source": [
    "# Check the model attributes\n",
    "for layer in model.layers:\n",
    "    print(layer.name,layer.trainable,layer.dtype, layer.dtype_policy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e5980da8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wed Jun 28 11:02:31 2023       \r\n",
      "+-----------------------------------------------------------------------------+\r\n",
      "| NVIDIA-SMI 525.116.04   Driver Version: 525.116.04   CUDA Version: 12.0     |\r\n",
      "|-------------------------------+----------------------+----------------------+\r\n",
      "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\r\n",
      "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\r\n",
      "|                               |                      |               MIG M. |\r\n",
      "|===============================+======================+======================|\r\n",
      "|   0  NVIDIA GeForce ...  On   | 00000000:01:00.0  On |                  N/A |\r\n",
      "| N/A   45C    P0    12W /  80W |   6405MiB /  8188MiB |      1%      Default |\r\n",
      "|                               |                      |                  N/A |\r\n",
      "+-------------------------------+----------------------+----------------------+\r\n",
      "                                                                               \r\n",
      "+-----------------------------------------------------------------------------+\r\n",
      "| Processes:                                                                  |\r\n",
      "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\r\n",
      "|        ID   ID                                                   Usage      |\r\n",
      "|=============================================================================|\r\n",
      "|    0   N/A  N/A      2953      G   /usr/lib/xorg/Xorg                 45MiB |\r\n",
      "|    0   N/A  N/A     14309      C   /usr/bin/python3                 6356MiB |\r\n",
      "+-----------------------------------------------------------------------------+\r\n"
     ]
    }
   ],
   "source": [
    "!nvidia-smi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "17be1330",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Turn off all warnings except for errors\n",
    "tf.get_logger().setLevel('ERROR')\n",
    "\n",
    "# Training\n",
    "# Fit the model with callbacks \n",
    "# history_101_food_classes_feature_extract = model.fit(train_data, \n",
    "#                                                      epochs=3,\n",
    "#                                                      steps_per_epoch=len(train_data),\n",
    "#                                                      validation_data=test_data,\n",
    "#                                                      validation_steps=int(0.15 * len(test_data)),\n",
    "#                                                      callbacks=[create_tensorboard_callback(\"training_logs\", \n",
    "#                                                                                             \"efficientnetb0_101_classes_all_data_feature_extract\"),\n",
    "#                                                                 model_checkpoint])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "94d5965c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-06-28 11:02:34.141501: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:434] Loaded cuDNN version 8900\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "790/790 [==============================] - 67s 83ms/step - loss: 1.0346 - accuracy: 0.7212\n"
     ]
    }
   ],
   "source": [
    "# 1. Create a function to recreate the original model\n",
    "def create_model():\n",
    "  # Create base model\n",
    "  input_shape = (224, 224, 3)\n",
    "  base_model = tf.keras.applications.efficientnet.EfficientNetB0(include_top=False)\n",
    "  base_model.trainable = False # freeze base model layers\n",
    "\n",
    "  # Create Functional model \n",
    "  inputs = layers.Input(shape=input_shape, name=\"input_layer\")\n",
    "  # Note: EfficientNetBX models have rescaling built-in but if your model didn't you could have a layer like below\n",
    "  # x = layers.Rescaling(1./255)(x)\n",
    "  x = base_model(inputs, training=False) # set base_model to inference mode only\n",
    "  x = layers.GlobalAveragePooling2D(name=\"pooling_layer\")(x)\n",
    "  x = layers.Dense(len(class_names))(x) # want one output neuron per class \n",
    "  # Separate activation of output layer so we can output float32 activations\n",
    "  outputs = layers.Activation(\"softmax\", dtype=tf.float32, name=\"softmax_float32\")(x) \n",
    "  model = tf.keras.Model(inputs, outputs)\n",
    "  \n",
    "  return model\n",
    "\n",
    "# 2. Create and compile a new version of the original model (new weights)\n",
    "created_model = create_model()\n",
    "created_model.compile(loss=\"sparse_categorical_crossentropy\",\n",
    "                      optimizer=tf.keras.optimizers.Adam(),\n",
    "                      metrics=[\"accuracy\"])\n",
    "\n",
    "# 3. Load the saved weights\n",
    "created_model.load_weights(checkpoint_path)\n",
    "\n",
    "# 4. Evaluate the model with loaded weights\n",
    "results_created_model_with_loaded_weights = created_model.evaluate(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ef6b624a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2023-06-28 11:03:40--  https://storage.googleapis.com/ztm_tf_course/food_vision/07_efficientnetb0_feature_extract_model_mixed_precision.zip\n",
      "Resolving storage.googleapis.com (storage.googleapis.com)... 172.217.18.112, 142.250.185.80, 142.250.185.112, ...\n",
      "Connecting to storage.googleapis.com (storage.googleapis.com)|172.217.18.112|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 16976857 (16M) [application/zip]\n",
      "Saving to: ‘07_efficientnetb0_feature_extract_model_mixed_precision.zip.1’\n",
      "\n",
      "07_efficientnetb0_f 100%[===================>]  16.19M  4.08MB/s    in 4.7s    \n",
      "\n",
      "2023-06-28 11:03:45 (3.45 MB/s) - ‘07_efficientnetb0_feature_extract_model_mixed_precision.zip.1’ saved [16976857/16976857]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Feature extraction pipeline:\n",
    "# Download the saved model\n",
    "!wget https://storage.googleapis.com/ztm_tf_course/food_vision/07_efficientnetb0_feature_extract_model_mixed_precision.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "67632c98",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir: cannot create directory ‘downloaded_gs_model’: File exists\n",
      "Archive:  07_efficientnetb0_feature_extract_model_mixed_precision.zip\n",
      "replace downloaded_gs_model/07_efficientnetb0_feature_extract_model_mixed_precision/variables/variables.data-00000-of-00001? [y]es, [n]o, [A]ll, [N]one, [r]ename: ^C\n"
     ]
    }
   ],
   "source": [
    "# Unzip the SavedModel downloaded from Google Stroage\n",
    "!mkdir downloaded_gs_model # create new dir to store downloaded feature extraction model\n",
    "!unzip 07_efficientnetb0_feature_extract_model_mixed_precision.zip -d downloaded_gs_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8d2235e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Importing a function (__inference_block1a_activation_layer_call_and_return_conditional_losses_158253) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
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      "WARNING:absl:Importing a function (__inference_efficientnetb0_layer_call_and_return_conditional_losses_188022) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
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      "WARNING:absl:Importing a function (__inference_efficientnetb0_layer_call_and_return_conditional_losses_183149) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
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      "WARNING:absl:Importing a function (__inference_block4b_activation_layer_call_and_return_conditional_losses_193263) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Importing a function (__inference_block5b_expand_activation_layer_call_and_return_conditional_losses_160977) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block7a_expand_activation_layer_call_and_return_conditional_losses_162953) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
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      "WARNING:absl:Importing a function (__inference_block5b_activation_layer_call_and_return_conditional_losses_194335) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4c_expand_activation_layer_call_and_return_conditional_losses_193559) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4a_expand_activation_layer_call_and_return_conditional_losses_159730) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6a_se_reduce_layer_call_and_return_conditional_losses_161759) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
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      "WARNING:absl:Importing a function (__inference_block5a_activation_layer_call_and_return_conditional_losses_160748) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
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      "WARNING:absl:Importing a function (__inference_block4a_activation_layer_call_and_return_conditional_losses_192937) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block7a_se_reduce_layer_call_and_return_conditional_losses_196568) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block2b_expand_activation_layer_call_and_return_conditional_losses_191788) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block3a_expand_activation_layer_call_and_return_conditional_losses_159106) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block3b_se_reduce_layer_call_and_return_conditional_losses_159497) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5c_expand_activation_layer_call_and_return_conditional_losses_161315) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_efficientnetb0_layer_call_and_return_conditional_losses_184891) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_model_layer_call_and_return_conditional_losses_178256) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6a_activation_layer_call_and_return_conditional_losses_161710) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6a_expand_activation_layer_call_and_return_conditional_losses_161653) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block3a_se_reduce_layer_call_and_return_conditional_losses_159212) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_stem_activation_layer_call_and_return_conditional_losses_158197) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_efficientnetb0_layer_call_and_return_conditional_losses_189764) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block3b_se_reduce_layer_call_and_return_conditional_losses_192606) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6a_activation_layer_call_and_return_conditional_losses_195081) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6c_activation_layer_call_and_return_conditional_losses_162333) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5a_se_reduce_layer_call_and_return_conditional_losses_160797) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5a_activation_layer_call_and_return_conditional_losses_194009) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6c_se_reduce_layer_call_and_return_conditional_losses_195822) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5b_activation_layer_call_and_return_conditional_losses_161033) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6b_expand_activation_layer_call_and_return_conditional_losses_195330) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Importing a function (__inference_block3a_activation_layer_call_and_return_conditional_losses_159163) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4c_se_reduce_layer_call_and_return_conditional_losses_160459) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6b_activation_layer_call_and_return_conditional_losses_195407) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block7a_se_reduce_layer_call_and_return_conditional_losses_163058) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block3a_se_reduce_layer_call_and_return_conditional_losses_192280) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6d_activation_layer_call_and_return_conditional_losses_162671) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference__wrapped_model_152628) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6b_se_reduce_layer_call_and_return_conditional_losses_162044) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block2b_se_reduce_layer_call_and_return_conditional_losses_158873) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4c_activation_layer_call_and_return_conditional_losses_160410) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6a_expand_activation_layer_call_and_return_conditional_losses_195004) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block3b_activation_layer_call_and_return_conditional_losses_192564) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5b_se_reduce_layer_call_and_return_conditional_losses_161082) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5c_se_reduce_layer_call_and_return_conditional_losses_161420) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4c_activation_layer_call_and_return_conditional_losses_193636) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_top_activation_layer_call_and_return_conditional_losses_196775) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4b_activation_layer_call_and_return_conditional_losses_160072) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6b_expand_activation_layer_call_and_return_conditional_losses_161939) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5a_expand_activation_layer_call_and_return_conditional_losses_193932) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4b_expand_activation_layer_call_and_return_conditional_losses_193186) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block1a_se_reduce_layer_call_and_return_conditional_losses_158302) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6a_se_reduce_layer_call_and_return_conditional_losses_195123) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block2a_expand_activation_layer_call_and_return_conditional_losses_191462) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block7a_activation_layer_call_and_return_conditional_losses_196526) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5a_expand_activation_layer_call_and_return_conditional_losses_160692) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n"
     ]
    }
   ],
   "source": [
    "# Load and evaluate downloaded GS model\n",
    "loaded_gs_model = tf.keras.models.load_model(\"downloaded_gs_model/07_efficientnetb0_feature_extract_model_mixed_precision\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "83528f2b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " input_layer (InputLayer)    [(None, 224, 224, 3)]     0         \n",
      "                                                                 \n",
      " efficientnetb0 (Functional  (None, None, None, 1280   4049571   \n",
      " )                           )                                   \n",
      "                                                                 \n",
      " pooling_layer (GlobalAvera  (None, 1280)              0         \n",
      " gePooling2D)                                                    \n",
      "                                                                 \n",
      " dense (Dense)               (None, 101)               129381    \n",
      "                                                                 \n",
      " softmax_float32 (Activatio  (None, 101)               0         \n",
      " n)                                                              \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 4178952 (15.94 MB)\n",
      "Trainable params: 129381 (505.39 KB)\n",
      "Non-trainable params: 4049571 (15.45 MB)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# Getting  a summary of the model\n",
    "loaded_gs_model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "2595370d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adding few more callbacks\n",
    "\n",
    "# 1. Early Stopping:\n",
    "early_stopping=tf.keras.callbacks.EarlyStopping(monitor=\"val_loss\",\n",
    "                                               patience=3)# Wait for 3 epochs\n",
    "\n",
    "# 2. Model Checkpoint\n",
    "model_checkpoint=tf.keras.callbacks.ModelCheckpoint(checkpoint_path,\n",
    "                                                   save_best_only=True,\n",
    "                                                   monitor=\"val_loss\")\n",
    "# 3. Learning Rate Decay:\n",
    "reduce_lr=tf.keras.callbacks.ReduceLROnPlateau(monitor=\"val_loss\",\n",
    "                                               factor=0.2,# multiply learning rate by 0.2, which reduces by 5x\n",
    "                                               patience=2,# Wait for 2 epochs\n",
    "                                               verbose=1,\n",
    "                                               min_lr=1e-7\n",
    "                                              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "710866d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compiling the model:\n",
    "loaded_gs_model.compile(loss=\"sparse_categorical_crossentropy\",\n",
    "                       optimizer=tf.keras.optimizers.Adam(0.0001))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a576f216",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving TensorBoard log files to: training_logs/efficientb0_101_classes_all_data_fine_tuning/20230628-110442\n",
      "Epoch 1/100\n",
      "2368/2368 [==============================] - 512s 216ms/step - loss: 0.9714 - val_loss: 1.0443 - lr: 1.0000e-04\n",
      "Epoch 2/100\n",
      "2368/2368 [==============================] - 497s 210ms/step - loss: 0.9549 - val_loss: 1.0491 - lr: 1.0000e-04\n",
      "Epoch 3/100\n",
      "2368/2368 [==============================] - 517s 218ms/step - loss: 0.9440 - val_loss: 1.0401 - lr: 1.0000e-04\n",
      "Epoch 4/100\n",
      "2368/2368 [==============================] - 494s 209ms/step - loss: 0.9345 - val_loss: 1.0405 - lr: 1.0000e-04\n",
      "Epoch 5/100\n",
      "2368/2368 [==============================] - 514s 217ms/step - loss: 0.9253 - val_loss: 1.0291 - lr: 1.0000e-04\n",
      "Epoch 6/100\n",
      "2368/2368 [==============================] - 496s 209ms/step - loss: 0.9172 - val_loss: 1.0396 - lr: 1.0000e-04\n",
      "Epoch 7/100\n",
      "2368/2368 [==============================] - ETA: 0s - loss: 0.9092\n",
      "Epoch 7: ReduceLROnPlateau reducing learning rate to 1.9999999494757503e-05.\n",
      "2368/2368 [==============================] - 496s 209ms/step - loss: 0.9092 - val_loss: 1.0436 - lr: 1.0000e-04\n",
      "Epoch 8/100\n",
      "2368/2368 [==============================] - 499s 211ms/step - loss: 0.8928 - val_loss: 1.0378 - lr: 2.0000e-05\n"
     ]
    }
   ],
   "source": [
    "# Fit and fine tune all layers \n",
    "(history_101_food_classes_all_data_fine_tune)=loaded_gs_model.fit(train_data,\n",
    "                                                                  epochs=100,\n",
    "                                                                  steps_per_epoch=len(train_data),\n",
    "                                                                  validation_data=test_data,\n",
    "                                                                  validation_steps=int(0.15* len(test_data)),\n",
    "                                                                  callbacks=[create_tensorboard_callback(\"training_logs\",\n",
    "                                                                                                        \"efficientb0_101_classes_all_data_fine_tuning\"),\n",
    "                                                                            model_checkpoint,\n",
    "                                                                            early_stopping,\n",
    "                                                                            reduce_lr])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ad6d1533",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "790/790 [==============================] - 70s 88ms/step - loss: 4.7373 - accuracy: 0.0091\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[4.737343788146973, 0.009069306775927544]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Evaluate the model\n",
    "results_feature_extract_model = model.evaluate(test_data)\n",
    "results_feature_extract_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4c03fcb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "loaded_gs_model.save(\"07_efficientnetb0_fine_tuned_101_classes_mixed_precision\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "01167976",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2023-06-28 12:50:08--  https://storage.googleapis.com/ztm_tf_course/food_vision/07_efficientnetb0_fine_tuned_101_classes_mixed_precision.zip\n",
      "Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.184.240, 142.250.74.208, 142.250.185.144, ...\n",
      "Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.184.240|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 46790356 (45M) [application/zip]\n",
      "Saving to: ‘07_efficientnetb0_fine_tuned_101_classes_mixed_precision.zip’\n",
      "\n",
      "07_efficientnetb0_f 100%[===================>]  44.62M  8.65MB/s    in 6.0s    \n",
      "\n",
      "2023-06-28 12:50:14 (7.43 MB/s) - ‘07_efficientnetb0_fine_tuned_101_classes_mixed_precision.zip’ saved [46790356/46790356]\n",
      "\n",
      "mkdir: cannot create directory ‘downloaded_fine_tuned_gs_model’: File exists\n",
      "Archive:  07_efficientnetb0_fine_tuned_101_classes_mixed_precision.zip\n",
      "   creating: downloaded_fine_tuned_gs_model/07_efficientnetb0_fine_tuned_101_classes_mixed_precision/\n",
      "   creating: downloaded_fine_tuned_gs_model/07_efficientnetb0_fine_tuned_101_classes_mixed_precision/variables/\n",
      "  inflating: downloaded_fine_tuned_gs_model/07_efficientnetb0_fine_tuned_101_classes_mixed_precision/variables/variables.data-00000-of-00001  \n",
      "  inflating: downloaded_fine_tuned_gs_model/07_efficientnetb0_fine_tuned_101_classes_mixed_precision/variables/variables.index  \n",
      "  inflating: downloaded_fine_tuned_gs_model/07_efficientnetb0_fine_tuned_101_classes_mixed_precision/saved_model.pb  \n",
      "   creating: downloaded_fine_tuned_gs_model/07_efficientnetb0_fine_tuned_101_classes_mixed_precision/assets/\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Importing a function (__inference_block3b_expand_activation_layer_call_and_return_conditional_losses_443625) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5c_activation_layer_call_and_return_conditional_losses_412189) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block1a_se_reduce_layer_call_and_return_conditional_losses_409120) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6c_expand_activation_layer_call_and_return_conditional_losses_446895) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block1a_activation_layer_call_and_return_conditional_losses_442329) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_efficientnetb0_layer_call_and_return_conditional_losses_421687) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5b_activation_layer_call_and_return_conditional_losses_411851) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6b_se_reduce_layer_call_and_return_conditional_losses_446637) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6d_activation_layer_call_and_return_conditional_losses_447353) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5b_expand_activation_layer_call_and_return_conditional_losses_445426) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block1a_se_reduce_layer_call_and_return_conditional_losses_442371) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_efficientnetb0_layer_call_and_return_conditional_losses_419945) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block2a_se_reduce_layer_call_and_return_conditional_losses_442703) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5a_activation_layer_call_and_return_conditional_losses_445173) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_efficientnetb0_layer_call_and_return_conditional_losses_440876) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block7a_se_reduce_layer_call_and_return_conditional_losses_447774) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block7a_expand_activation_layer_call_and_return_conditional_losses_413771) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6c_se_reduce_layer_call_and_return_conditional_losses_413200) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4b_expand_activation_layer_call_and_return_conditional_losses_410834) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4c_se_reduce_layer_call_and_return_conditional_losses_411277) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block3b_expand_activation_layer_call_and_return_conditional_losses_410210) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5a_se_reduce_layer_call_and_return_conditional_losses_445215) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6c_activation_layer_call_and_return_conditional_losses_446974) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block3a_se_reduce_layer_call_and_return_conditional_losses_443414) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block6d_expand_activation_layer_call_and_return_conditional_losses_413433) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_stem_activation_layer_call_and_return_conditional_losses_442250) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4b_activation_layer_call_and_return_conditional_losses_410890) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block7a_se_reduce_layer_call_and_return_conditional_losses_413876) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_top_activation_layer_call_and_return_conditional_losses_414056) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
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      "WARNING:absl:Importing a function (__inference_block5c_se_reduce_layer_call_and_return_conditional_losses_412238) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Importing a function (__inference_block5a_expand_activation_layer_call_and_return_conditional_losses_411510) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Importing a function (__inference_block6b_activation_layer_call_and_return_conditional_losses_446595) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block7a_activation_layer_call_and_return_conditional_losses_413827) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
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      "WARNING:absl:Importing a function (__inference_block2a_expand_activation_layer_call_and_return_conditional_losses_442582) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4a_se_reduce_layer_call_and_return_conditional_losses_410654) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block7a_expand_activation_layer_call_and_return_conditional_losses_447653) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
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      "WARNING:absl:Importing a function (__inference_block6d_se_reduce_layer_call_and_return_conditional_losses_413538) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5c_expand_activation_layer_call_and_return_conditional_losses_412133) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block2b_se_reduce_layer_call_and_return_conditional_losses_409691) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block2b_expand_activation_layer_call_and_return_conditional_losses_409586) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block5b_activation_layer_call_and_return_conditional_losses_445505) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4a_activation_layer_call_and_return_conditional_losses_410605) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_stem_activation_layer_call_and_return_conditional_losses_409015) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block2b_activation_layer_call_and_return_conditional_losses_409642) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_block4c_expand_activation_layer_call_and_return_conditional_losses_411172) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n",
      "WARNING:absl:Importing a function (__inference_efficientnetb0_layer_call_and_return_conditional_losses_439134) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " input_layer (InputLayer)    [(None, 224, 224, 3)]     0         \n",
      "                                                                 \n",
      " efficientnetb0 (Functional  (None, None, None, 1280   4049571   \n",
      " )                           )                                   \n",
      "                                                                 \n",
      " pooling_layer (GlobalAvera  (None, 1280)              0         \n",
      " gePooling2D)                                                    \n",
      "                                                                 \n",
      " dense (Dense)               (None, 101)               129381    \n",
      "                                                                 \n",
      " softmax_float32 (Activatio  (None, 101)               0         \n",
      " n)                                                              \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 4178952 (15.94 MB)\n",
      "Trainable params: 4136929 (15.78 MB)\n",
      "Non-trainable params: 42023 (164.16 KB)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# Loading the model again for evaluation.\n",
    "!wget https://storage.googleapis.com/ztm_tf_course/food_vision/07_efficientnetb0_fine_tuned_101_classes_mixed_precision.zip\n",
    "!mkdir downloaded_fine_tuned_gs_model # create separate directory for fine-tuned model downloaded from Google Storage\n",
    "!unzip 07_efficientnetb0_fine_tuned_101_classes_mixed_precision -d downloaded_fine_tuned_gs_model\n",
    "loaded_fine_tuned_gs_model = tf.keras.models.load_model(\"downloaded_fine_tuned_gs_model/07_efficientnetb0_fine_tuned_101_classes_mixed_precision\")\n",
    "loaded_fine_tuned_gs_model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "09b521d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "790/790 [==============================] - 70s 89ms/step - loss: 0.9072 - accuracy: 0.8017\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.9072335362434387, 0.801663339138031]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_downloaded_fine_tuned_gs_model = loaded_fine_tuned_gs_model.evaluate(test_data)\n",
    "results_downloaded_fine_tuned_gs_model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2fe498f1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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