{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6a013a36-e156-4212-8ade-5fee79e33680",
   "metadata": {},
   "source": [
    "Install dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "acabbaee-35be-452b-8573-4d0974fa6340",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: torch in /var/data/python/lib/python3.12/site-packages (2.5.1)\n",
      "Requirement already satisfied: torchvision in /var/data/python/lib/python3.12/site-packages (0.20.1)\n",
      "Requirement already satisfied: torchaudio in /var/data/python/lib/python3.12/site-packages (2.5.1)\n",
      "Requirement already satisfied: filelock in /var/data/python/lib/python3.12/site-packages (from torch) (3.16.1)\n",
      "Requirement already satisfied: typing-extensions>=4.8.0 in /var/data/python/lib/python3.12/site-packages (from torch) (4.12.2)\n",
      "Requirement already satisfied: networkx in /var/data/python/lib/python3.12/site-packages (from torch) (3.4.2)\n",
      "Requirement already satisfied: jinja2 in /var/data/python/lib/python3.12/site-packages (from torch) (3.1.4)\n",
      "Requirement already satisfied: fsspec in /var/data/python/lib/python3.12/site-packages (from torch) (2024.10.0)\n",
      "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.4.127 in /var/data/python/lib/python3.12/site-packages (from torch) (12.4.127)\n",
      "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.4.127 in /var/data/python/lib/python3.12/site-packages (from torch) (12.4.127)\n",
      "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.4.127 in /var/data/python/lib/python3.12/site-packages (from torch) (12.4.127)\n",
      "Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /var/data/python/lib/python3.12/site-packages (from torch) (9.1.0.70)\n",
      "Requirement already satisfied: nvidia-cublas-cu12==12.4.5.8 in /var/data/python/lib/python3.12/site-packages (from torch) (12.4.5.8)\n",
      "Requirement already satisfied: nvidia-cufft-cu12==11.2.1.3 in /var/data/python/lib/python3.12/site-packages (from torch) (11.2.1.3)\n",
      "Requirement already satisfied: nvidia-curand-cu12==10.3.5.147 in /var/data/python/lib/python3.12/site-packages (from torch) (10.3.5.147)\n",
      "Requirement already satisfied: nvidia-cusolver-cu12==11.6.1.9 in /var/data/python/lib/python3.12/site-packages (from torch) (11.6.1.9)\n",
      "Requirement already satisfied: nvidia-cusparse-cu12==12.3.1.170 in /var/data/python/lib/python3.12/site-packages (from torch) (12.3.1.170)\n",
      "Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /var/data/python/lib/python3.12/site-packages (from torch) (2.21.5)\n",
      "Requirement already satisfied: nvidia-nvtx-cu12==12.4.127 in /var/data/python/lib/python3.12/site-packages (from torch) (12.4.127)\n",
      "Requirement already satisfied: nvidia-nvjitlink-cu12==12.4.127 in /var/data/python/lib/python3.12/site-packages (from torch) (12.4.127)\n",
      "Requirement already satisfied: triton==3.1.0 in /var/data/python/lib/python3.12/site-packages (from torch) (3.1.0)\n",
      "Requirement already satisfied: setuptools in /usr/lib/python3.12/site-packages (from torch) (75.2.0.post20241105)\n",
      "Requirement already satisfied: sympy==1.13.1 in /var/data/python/lib/python3.12/site-packages (from torch) (1.13.1)\n",
      "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /var/data/python/lib/python3.12/site-packages (from sympy==1.13.1->torch) (1.3.0)\n",
      "Requirement already satisfied: numpy in /var/data/python/lib/python3.12/site-packages (from torchvision) (1.26.4)\n",
      "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /var/data/python/lib/python3.12/site-packages (from torchvision) (11.0.0)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in /var/data/python/lib/python3.12/site-packages (from jinja2->torch) (2.1.5)\n",
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: matplotlib in /var/data/python/lib/python3.12/site-packages (3.9.2)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /var/data/python/lib/python3.12/site-packages (from matplotlib) (1.3.1)\n",
      "Requirement already satisfied: cycler>=0.10 in /var/data/python/lib/python3.12/site-packages (from matplotlib) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /var/data/python/lib/python3.12/site-packages (from matplotlib) (4.55.0)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in /var/data/python/lib/python3.12/site-packages (from matplotlib) (1.4.7)\n",
      "Requirement already satisfied: numpy>=1.23 in /var/data/python/lib/python3.12/site-packages (from matplotlib) (1.26.4)\n",
      "Requirement already satisfied: packaging>=20.0 in /usr/lib/python3.12/site-packages (from matplotlib) (24.1)\n",
      "Requirement already satisfied: pillow>=8 in /var/data/python/lib/python3.12/site-packages (from matplotlib) (11.0.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /var/data/python/lib/python3.12/site-packages (from matplotlib) (3.2.0)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /var/data/python/lib/python3.12/site-packages (from matplotlib) (2.9.0.post0)\n",
      "Requirement already satisfied: six>=1.5 in /usr/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n",
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: ultralytics in /var/data/python/lib/python3.12/site-packages (8.3.35)\n",
      "Requirement already satisfied: roboflow in /var/data/python/lib/python3.12/site-packages (1.1.49)\n",
      "Requirement already satisfied: numpy>=1.23.0 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (1.26.4)\n",
      "Requirement already satisfied: matplotlib>=3.3.0 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (3.9.2)\n",
      "Requirement already satisfied: opencv-python>=4.6.0 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (4.9.0.80)\n",
      "Requirement already satisfied: pillow>=7.1.2 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (11.0.0)\n",
      "Requirement already satisfied: pyyaml>=5.3.1 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (6.0.2)\n",
      "Requirement already satisfied: requests>=2.23.0 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (2.32.3)\n",
      "Requirement already satisfied: scipy>=1.4.1 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (1.14.1)\n",
      "Requirement already satisfied: torch>=1.8.0 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (2.5.1)\n",
      "Requirement already satisfied: torchvision>=0.9.0 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (0.20.1)\n",
      "Requirement already satisfied: tqdm>=4.64.0 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (4.67.0)\n",
      "Requirement already satisfied: psutil in /var/data/python/lib/python3.12/site-packages (from ultralytics) (6.1.0)\n",
      "Requirement already satisfied: py-cpuinfo in /var/data/python/lib/python3.12/site-packages (from ultralytics) (9.0.0)\n",
      "Requirement already satisfied: pandas>=1.1.4 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (2.2.3)\n",
      "Requirement already satisfied: seaborn>=0.11.0 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (0.13.2)\n",
      "Requirement already satisfied: ultralytics-thop>=2.0.0 in /var/data/python/lib/python3.12/site-packages (from ultralytics) (2.0.12)\n",
      "Requirement already satisfied: certifi in /var/data/python/lib/python3.12/site-packages (from roboflow) (2024.8.30)\n",
      "Requirement already satisfied: idna==3.7 in /var/data/python/lib/python3.12/site-packages (from roboflow) (3.7)\n",
      "Requirement already satisfied: cycler in /var/data/python/lib/python3.12/site-packages (from roboflow) (0.12.1)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in /var/data/python/lib/python3.12/site-packages (from roboflow) (1.4.7)\n",
      "Requirement already satisfied: opencv-python-headless==4.10.0.84 in /var/data/python/lib/python3.12/site-packages (from roboflow) (4.10.0.84)\n",
      "Requirement already satisfied: python-dateutil in /var/data/python/lib/python3.12/site-packages (from roboflow) (2.9.0.post0)\n",
      "Requirement already satisfied: python-dotenv in /var/data/python/lib/python3.12/site-packages (from roboflow) (1.0.1)\n",
      "Requirement already satisfied: six in /usr/lib/python3.12/site-packages (from roboflow) (1.16.0)\n",
      "Requirement already satisfied: urllib3>=1.26.6 in /var/data/python/lib/python3.12/site-packages (from roboflow) (2.2.3)\n",
      "Requirement already satisfied: requests-toolbelt in /var/data/python/lib/python3.12/site-packages (from roboflow) (1.0.0)\n",
      "Requirement already satisfied: filetype in /var/data/python/lib/python3.12/site-packages (from roboflow) (1.2.0)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /var/data/python/lib/python3.12/site-packages (from matplotlib>=3.3.0->ultralytics) (1.3.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /var/data/python/lib/python3.12/site-packages (from matplotlib>=3.3.0->ultralytics) (4.55.0)\n",
      "Requirement already satisfied: packaging>=20.0 in /usr/lib/python3.12/site-packages (from matplotlib>=3.3.0->ultralytics) (24.1)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /var/data/python/lib/python3.12/site-packages (from matplotlib>=3.3.0->ultralytics) (3.2.0)\n",
      "Requirement already satisfied: pytz>=2020.1 in /var/data/python/lib/python3.12/site-packages (from pandas>=1.1.4->ultralytics) (2024.2)\n",
      "Requirement already satisfied: tzdata>=2022.7 in /var/data/python/lib/python3.12/site-packages (from pandas>=1.1.4->ultralytics) (2024.2)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /var/data/python/lib/python3.12/site-packages (from requests>=2.23.0->ultralytics) (3.4.0)\n",
      "Requirement already satisfied: filelock in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (3.16.1)\n",
      "Requirement already satisfied: typing-extensions>=4.8.0 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (4.12.2)\n",
      "Requirement already satisfied: networkx in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (3.4.2)\n",
      "Requirement already satisfied: jinja2 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (3.1.4)\n",
      "Requirement already satisfied: fsspec in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (2024.10.0)\n",
      "Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.4.127 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (12.4.127)\n",
      "Requirement already satisfied: nvidia-cuda-runtime-cu12==12.4.127 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (12.4.127)\n",
      "Requirement already satisfied: nvidia-cuda-cupti-cu12==12.4.127 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (12.4.127)\n",
      "Requirement already satisfied: nvidia-cudnn-cu12==9.1.0.70 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (9.1.0.70)\n",
      "Requirement already satisfied: nvidia-cublas-cu12==12.4.5.8 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (12.4.5.8)\n",
      "Requirement already satisfied: nvidia-cufft-cu12==11.2.1.3 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (11.2.1.3)\n",
      "Requirement already satisfied: nvidia-curand-cu12==10.3.5.147 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (10.3.5.147)\n",
      "Requirement already satisfied: nvidia-cusolver-cu12==11.6.1.9 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (11.6.1.9)\n",
      "Requirement already satisfied: nvidia-cusparse-cu12==12.3.1.170 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (12.3.1.170)\n",
      "Requirement already satisfied: nvidia-nccl-cu12==2.21.5 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (2.21.5)\n",
      "Requirement already satisfied: nvidia-nvtx-cu12==12.4.127 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (12.4.127)\n",
      "Requirement already satisfied: nvidia-nvjitlink-cu12==12.4.127 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (12.4.127)\n",
      "Requirement already satisfied: triton==3.1.0 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (3.1.0)\n",
      "Requirement already satisfied: setuptools in /usr/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (75.2.0.post20241105)\n",
      "Requirement already satisfied: sympy==1.13.1 in /var/data/python/lib/python3.12/site-packages (from torch>=1.8.0->ultralytics) (1.13.1)\n",
      "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /var/data/python/lib/python3.12/site-packages (from sympy==1.13.1->torch>=1.8.0->ultralytics) (1.3.0)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in /var/data/python/lib/python3.12/site-packages (from jinja2->torch>=1.8.0->ultralytics) (2.1.5)\n"
     ]
    }
   ],
   "source": [
    "!pip3 install torch torchvision torchaudio\n",
    "!pip3 install matplotlib\n",
    "!pip3 install ultralytics roboflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fb8218b5-61c9-4fe3-b5c6-1643beb39e28",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from ultralytics import YOLO\n",
    "from pathlib import Path\n",
    "import os\n",
    "import json\n",
    "import yaml\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4bccbb25",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using device: cuda:0 (GPU)\n"
     ]
    }
   ],
   "source": [
    "\n",
    "device = \"cuda:0\" if torch.cuda.is_available() else \"cpu\"\n",
    "\n",
    "print(f\"Using device: {device} ({'GPU' if device != 'cpu' else 'CPU'})\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "CONFIG = {\n",
    "    'model': 'yolo11m.pt',  # Choose model size: n, s, m, l, x\n",
    "    'data': 'datasets/Hardhat-or-Hat.v2-with-hat.yolov11/data.yaml',  \n",
    "    'epochs': 50,\n",
    "    'batch': 2 if device != 'cpu' else 4,  # Adjust batch \n",
    "    'imgsz': 640,\n",
    "    'patience': 15,\n",
    "    'device': device, \n",
    "}\n",
    "os.environ[\"PYTORCH_CUDA_ALLOC_CONF\"] = \"expandable_segments:True\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d349b982",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "save_dir = Path('runs/detect')\n",
    "save_dir.mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "this_path = os.getcwd()\n",
    "\n",
    "os.environ['ULTRALYTICS_CONFIG_DIR'] = this_path\n",
    "\n",
    "data_file = f'{this_path}/{CONFIG['data']}'\n",
    "with open(data_file, 'r') as f:\n",
    "    data = yaml.safe_load(f)\n",
    "    \n",
    "\n",
    "data['train'] = f'{this_path}/{CONFIG['data'].rsplit('/', 1)[0]}/train/images'\n",
    "data['val'] = f'{this_path}/{CONFIG['data'].rsplit('/', 1)[0]}/valid/images'\n",
    "data['test'] = f'{this_path}/{CONFIG['data'].rsplit('/', 1)[0]}/test/images'\n",
    "\n",
    "with open(data_file, 'w') as f:\n",
    "    yaml.safe_dump(data, f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4f831042",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "model = YOLO(CONFIG['model'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "20208cb5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New https://pypi.org/project/ultralytics/8.3.40 available 😃 Update with 'pip install -U ultralytics'\n",
      "Ultralytics 8.3.35 🚀 Python-3.12.7 torch-2.5.1+cu124 CUDA:0 (NVIDIA GeForce GTX 1650, 3721MiB)\n",
      "\u001b[34m\u001b[1mengine/trainer: \u001b[0mtask=detect, mode=train, model=yolo11m.pt, data=datasets/Hardhat-or-Hat.v2-with-hat.yolov11/data.yaml, epochs=50, time=None, patience=15, batch=2, imgsz=640, save=True, save_period=-1, cache=False, device=cuda:0, workers=8, project=None, name=train7, exist_ok=False, pretrained=True, optimizer=SGD, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=False, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=True, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=True, opset=None, workspace=4, nms=False, lr0=0.001, lrf=0.005, momentum=0.9, weight_decay=0.0005, warmup_epochs=3, warmup_momentum=0.8, warmup_bias_lr=0.01, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=10, translate=0.1, scale=0.3, shear=0.0, perspective=0.0, flipud=0.1, fliplr=0.1, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, copy_paste_mode=flip, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train7\n",
      "Overriding model.yaml nc=80 with nc=3\n",
      "\n",
      "                   from  n    params  module                                       arguments                     \n",
      "  0                  -1  1      1856  ultralytics.nn.modules.conv.Conv             [3, 64, 3, 2]                 \n",
      "  1                  -1  1     73984  ultralytics.nn.modules.conv.Conv             [64, 128, 3, 2]               \n",
      "  2                  -1  1    111872  ultralytics.nn.modules.block.C3k2            [128, 256, 1, True, 0.25]     \n",
      "  3                  -1  1    590336  ultralytics.nn.modules.conv.Conv             [256, 256, 3, 2]              \n",
      "  4                  -1  1    444928  ultralytics.nn.modules.block.C3k2            [256, 512, 1, True, 0.25]     \n",
      "  5                  -1  1   2360320  ultralytics.nn.modules.conv.Conv             [512, 512, 3, 2]              \n",
      "  6                  -1  1   1380352  ultralytics.nn.modules.block.C3k2            [512, 512, 1, True]           \n",
      "  7                  -1  1   2360320  ultralytics.nn.modules.conv.Conv             [512, 512, 3, 2]              \n",
      "  8                  -1  1   1380352  ultralytics.nn.modules.block.C3k2            [512, 512, 1, True]           \n",
      "  9                  -1  1    656896  ultralytics.nn.modules.block.SPPF            [512, 512, 5]                 \n",
      " 10                  -1  1    990976  ultralytics.nn.modules.block.C2PSA           [512, 512, 1]                 \n",
      " 11                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
      " 12             [-1, 6]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 13                  -1  1   1642496  ultralytics.nn.modules.block.C3k2            [1024, 512, 1, True]          \n",
      " 14                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
      " 15             [-1, 4]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 16                  -1  1    542720  ultralytics.nn.modules.block.C3k2            [1024, 256, 1, True]          \n",
      " 17                  -1  1    590336  ultralytics.nn.modules.conv.Conv             [256, 256, 3, 2]              \n",
      " 18            [-1, 13]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 19                  -1  1   1511424  ultralytics.nn.modules.block.C3k2            [768, 512, 1, True]           \n",
      " 20                  -1  1   2360320  ultralytics.nn.modules.conv.Conv             [512, 512, 3, 2]              \n",
      " 21            [-1, 10]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
      " 22                  -1  1   1642496  ultralytics.nn.modules.block.C3k2            [1024, 512, 1, True]          \n",
      " 23        [16, 19, 22]  1   1413337  ultralytics.nn.modules.head.Detect           [3, [256, 512, 512]]          \n",
      "YOLO11m summary: 409 layers, 20,055,321 parameters, 20,055,305 gradients, 68.2 GFLOPs\n",
      "\n",
      "Transferred 643/649 items from pretrained weights\n",
      "Freezing layer 'model.23.dfl.conv.weight'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /var/home/larizmen/DATA/REPOS/ai-apps/dev/hardhat-or-hat/datasets/Hardhat-or-Hat.v2-with-hat.yolov11/train/labels.cache... 6970 images, 1 backgrounds, 0 corrupt: 100%|██████████| 6970/6970 [00:00<?, ?it/s]\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning /var/home/larizmen/DATA/REPOS/ai-apps/dev/hardhat-or-hat/datasets/Hardhat-or-Hat.v2-with-hat.yolov11/valid/labels.cache... 1992 images, 0 backgrounds, 0 corrupt: 100%|██████████| 1992/1992 [00:00<?, ?it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting labels to runs/detect/train7/labels.jpg... \n",
      "\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.001, momentum=0.9) with parameter groups 106 weight(decay=0.0), 113 weight(decay=0.0005), 112 bias(decay=0.0)\n",
      "Image sizes 640 train, 640 val\n",
      "Using 8 dataloader workers\n",
      "Logging results to \u001b[1mruns/detect/train7\u001b[0m\n",
      "Starting training for 50 epochs...\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       1/50      2.48G      1.745      2.066      1.505         50        640: 100%|██████████| 3485/3485 [36:29<00:00,  1.59it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [02:14<00:00,  3.70it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.576      0.604      0.606      0.293\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       2/50       2.5G      1.532      1.207       1.28         22        640: 100%|██████████| 3485/3485 [54:30<00:00,  1.07it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [04:39<00:00,  1.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306       0.76        0.7      0.743      0.382\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       3/50      2.49G      1.486      1.012      1.219        131        640: 100%|██████████| 3485/3485 [1:09:24<00:00,  1.20s/it]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [04:37<00:00,  1.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.814      0.761      0.812      0.428\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       4/50      2.32G      1.443     0.9404      1.187          5        640: 100%|██████████| 3485/3485 [1:09:05<00:00,  1.19s/it]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [02:02<00:00,  4.05it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.851       0.77      0.839      0.456\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       5/50      2.48G      1.414     0.8847      1.169          5        640: 100%|██████████| 3485/3485 [32:51<00:00,  1.77it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:49<00:00,  4.56it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.868      0.786      0.857      0.467\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       6/50      2.32G      1.392     0.8312      1.146         10        640: 100%|██████████| 3485/3485 [32:49<00:00,  1.77it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:48<00:00,  4.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.855       0.82      0.868      0.493\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       7/50      2.49G      1.374     0.8128      1.149         11        640: 100%|██████████| 3485/3485 [32:49<00:00,  1.77it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:48<00:00,  4.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306       0.88       0.82      0.881      0.495\n",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       8/50      2.34G      1.368     0.8041      1.147         10        640: 100%|██████████| 3485/3485 [32:50<00:00,  1.77it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:49<00:00,  4.56it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.874      0.824      0.882       0.52\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "       9/50      2.32G      1.354      0.782      1.137          5        640: 100%|██████████| 3485/3485 [32:54<00:00,  1.76it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:49<00:00,  4.56it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.881      0.836      0.889      0.523\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      10/50      2.32G      1.336     0.7553      1.128         11        640: 100%|██████████| 3485/3485 [32:53<00:00,  1.77it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:48<00:00,  4.57it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.886      0.828      0.877      0.506\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      11/50      2.48G      1.333     0.7494      1.124          3        640: 100%|██████████| 3485/3485 [32:47<00:00,  1.77it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:48<00:00,  4.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.904      0.828      0.893      0.529\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      12/50      2.32G      1.323     0.7311      1.117          6        640: 100%|██████████| 3485/3485 [32:45<00:00,  1.77it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:48<00:00,  4.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.881      0.844      0.895      0.529\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      13/50      2.48G      1.308     0.7249      1.111          8        640: 100%|██████████| 3485/3485 [32:42<00:00,  1.78it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:48<00:00,  4.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306       0.89      0.833        0.9      0.545\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      14/50      2.48G      1.302     0.7112      1.111         14        640: 100%|██████████| 3485/3485 [32:41<00:00,  1.78it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:48<00:00,  4.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.887      0.844      0.908      0.548\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      15/50      2.32G      1.307     0.7012      1.108         37        640: 100%|██████████| 3485/3485 [32:43<00:00,  1.77it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:48<00:00,  4.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.888      0.859      0.907      0.552\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      16/50      2.34G      1.295     0.6933      1.105         12        640: 100%|██████████| 3485/3485 [32:39<00:00,  1.78it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.908      0.842      0.901      0.551\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      17/50      2.32G      1.292      0.689      1.096         22        640: 100%|██████████| 3485/3485 [32:36<00:00,  1.78it/s]\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.912      0.855      0.917      0.566\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      18/50      2.48G      1.278     0.6763      1.091         22        640: 100%|██████████| 3485/3485 [32:35<00:00,  1.78it/s]\n",
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    },
    {
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     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.905      0.858      0.913      0.557\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      19/50      2.48G      1.279       0.67      1.083         16        640: 100%|██████████| 3485/3485 [32:35<00:00,  1.78it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.876      0.879      0.913      0.556\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      20/50      2.48G      1.265     0.6614      1.084        118        640: 100%|██████████| 3485/3485 [32:34<00:00,  1.78it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.897      0.867      0.912      0.563\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      21/50      2.34G      1.262     0.6586      1.084         92        640: 100%|██████████| 3485/3485 [32:32<00:00,  1.79it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.892      0.862      0.903      0.558\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      22/50      2.48G      1.254     0.6542      1.076         69        640: 100%|██████████| 3485/3485 [32:31<00:00,  1.79it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.887      0.867      0.909      0.563\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      23/50      2.48G       1.25     0.6498      1.078         22        640: 100%|██████████| 3485/3485 [32:30<00:00,  1.79it/s]\n",
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    },
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     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.885       0.86      0.909      0.563\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "      24/50      2.48G      1.247     0.6529      1.087          9        640: 100%|██████████| 3485/3485 [32:31<00:00,  1.79it/s]\n",
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    },
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     "text": [
      "                   all       1992      15306      0.906       0.86      0.915      0.571\n",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
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    },
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      "      25/50      2.32G      1.248     0.6361      1.081         42        640: 100%|██████████| 3485/3485 [32:28<00:00,  1.79it/s]\n",
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     "text": [
      "                   all       1992      15306      0.893      0.869      0.915      0.571\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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      "      26/50      2.48G      1.245     0.6445      1.082         14        640: 100%|██████████| 3485/3485 [32:30<00:00,  1.79it/s]\n",
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    },
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      "                   all       1992      15306      0.897      0.856      0.911      0.565\n",
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      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "text": [
      "      27/50      2.32G      1.231     0.6335      1.076         44        640: 100%|██████████| 3485/3485 [33:27<00:00,  1.74it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:48<00:00,  4.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.873       0.85      0.895      0.558\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      28/50      2.32G      1.226     0.6257      1.067         11        640: 100%|██████████| 3485/3485 [33:11<00:00,  1.75it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:52<00:00,  4.42it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.882      0.856      0.898      0.551\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      29/50      2.48G      1.236     0.6261      1.067         47        640: 100%|██████████| 3485/3485 [33:07<00:00,  1.75it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:54<00:00,  4.35it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.913       0.87       0.92      0.571\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      30/50      2.48G      1.222     0.6178       1.07         14        640: 100%|██████████| 3485/3485 [33:17<00:00,  1.74it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:51<00:00,  4.47it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.901      0.858      0.909      0.564\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      31/50      2.34G       1.23     0.6147      1.066         17        640: 100%|██████████| 3485/3485 [34:19<00:00,  1.69it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:50<00:00,  4.51it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.892      0.866      0.916      0.573\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      32/50      2.48G      1.218     0.6164      1.064         10        640: 100%|██████████| 3485/3485 [33:52<00:00,  1.71it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [02:12<00:00,  3.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.914      0.858       0.92      0.571\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      33/50      2.48G      1.207     0.6082      1.063         44        640: 100%|██████████| 3485/3485 [35:03<00:00,  1.66it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:51<00:00,  4.48it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.909      0.872      0.921      0.572\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      34/50      2.48G      1.207     0.5966      1.054         17        640: 100%|██████████| 3485/3485 [33:13<00:00,  1.75it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:55<00:00,  4.29it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.908      0.863      0.921      0.576\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      35/50      2.32G      1.196     0.5972      1.055          8        640: 100%|██████████| 3485/3485 [33:14<00:00,  1.75it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:53<00:00,  4.40it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306        0.9      0.875      0.925       0.58\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      36/50      2.32G      1.192       0.59      1.057         28        640: 100%|██████████| 3485/3485 [33:14<00:00,  1.75it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.909      0.855      0.914      0.576\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      37/50      2.33G      1.191     0.5854      1.053          3        640: 100%|██████████| 3485/3485 [33:08<00:00,  1.75it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.892       0.87      0.918       0.57\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      38/50      2.32G      1.188     0.5894      1.047          9        640: 100%|██████████| 3485/3485 [37:27<00:00,  1.55it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.893      0.873      0.913      0.568\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      39/50      2.48G      1.188     0.5891      1.044          4        640: 100%|██████████| 3485/3485 [35:46<00:00,  1.62it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:52<00:00,  4.42it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.912      0.869      0.919      0.575\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      40/50      2.48G      1.178     0.5803      1.046         15        640: 100%|██████████| 3485/3485 [33:26<00:00,  1.74it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.919       0.85      0.916      0.573\n",
      "Closing dataloader mosaic\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      41/50      2.32G      1.132     0.5159      1.031          8        640: 100%|██████████| 3485/3485 [32:45<00:00,  1.77it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.911       0.87      0.921       0.58\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      42/50      2.32G       1.12     0.5096      1.024          3        640: 100%|██████████| 3485/3485 [32:42<00:00,  1.78it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.919      0.871      0.927      0.583\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      43/50      2.32G      1.116      0.507      1.022         37        640: 100%|██████████| 3485/3485 [32:40<00:00,  1.78it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.907      0.874      0.925      0.581\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      44/50      2.32G      1.111      0.501      1.023         70        640: 100%|██████████| 3485/3485 [32:42<00:00,  1.78it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306       0.91      0.865      0.922      0.581\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      45/50      2.48G      1.107     0.5012      1.022          2        640: 100%|██████████| 3485/3485 [32:43<00:00,  1.77it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.914      0.867      0.924      0.584\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
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     "output_type": "stream",
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      "      46/50      2.32G      1.101     0.4938      1.013          7        640: 100%|██████████| 3485/3485 [32:40<00:00,  1.78it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "                   all       1992      15306      0.915      0.862      0.923      0.582\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      47/50      2.32G      1.101     0.4941      1.015          2        640: 100%|██████████| 3485/3485 [32:39<00:00,  1.78it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.914      0.869      0.924      0.586\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      48/50      2.32G        1.1     0.4869      1.016         11        640: 100%|██████████| 3485/3485 [32:37<00:00,  1.78it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.927      0.857      0.924      0.584\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "      49/50      2.32G      1.089     0.4824       1.01          5        640: 100%|██████████| 3485/3485 [32:53<00:00,  1.77it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.909       0.87      0.924      0.585\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      50/50      2.48G      1.079     0.4769      1.007          3        640: 100%|██████████| 3485/3485 [32:51<00:00,  1.77it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [01:48<00:00,  4.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.908      0.872      0.924      0.587\n",
      "\n",
      "50 epochs completed in 30.837 hours.\n",
      "Optimizer stripped from runs/detect/train7/weights/last.pt, 40.5MB\n",
      "Optimizer stripped from runs/detect/train7/weights/best.pt, 40.5MB\n",
      "\n",
      "Validating runs/detect/train7/weights/best.pt...\n",
      "Ultralytics 8.3.35 🚀 Python-3.12.7 torch-2.5.1+cu124 CUDA:0 (NVIDIA GeForce GTX 1650, 3721MiB)\n",
      "YOLO11m summary (fused): 303 layers, 20,032,345 parameters, 0 gradients, 67.7 GFLOPs\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 498/498 [03:47<00:00,  2.19it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all       1992      15306      0.872      0.851      0.908      0.571\n",
      "                   hat        244        287       0.89      0.818      0.901      0.606\n",
      "                helmet       1202       3942      0.884      0.895      0.942       0.63\n",
      "             no_helmet        741      11077      0.842      0.839      0.881      0.478\n",
      "Speed: 0.3ms preprocess, 109.9ms inference, 0.0ms loss, 0.7ms postprocess per image\n",
      "Results saved to \u001b[1mruns/detect/train7\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "\n",
    "results = model.train(\n",
    "    data=CONFIG['data'],\n",
    "    epochs=CONFIG['epochs'],\n",
    "    batch=CONFIG['batch'],\n",
    "    imgsz=CONFIG['imgsz'],\n",
    "    patience=CONFIG['patience'],\n",
    "    device=CONFIG['device'],\n",
    "    \n",
    "    verbose=True,\n",
    "    \n",
    "    optimizer='SGD',\n",
    "    lr0=0.001,\n",
    "    lrf=0.005,\n",
    "    momentum=0.9,\n",
    "    weight_decay=0.0005,\n",
    "    warmup_epochs=3,\n",
    "    warmup_bias_lr=0.01,\n",
    "    warmup_momentum=0.8,\n",
    "    amp=False,\n",
    "    \n",
    "    # Augmentations\n",
    "    augment=True,\n",
    "    hsv_h=0.015,  # Image HSV-Hue augmentationc\n",
    "    hsv_s=0.7,   # Image HSV-Saturation augmentation\n",
    "    hsv_v=0.4,   # Image HSV-Value augmentation\n",
    "    degrees=10,  # Image rotation (+/- deg)\n",
    "    translate=0.1,  # Image translation (+/- fraction)\n",
    "    scale=0.3,   # Image scale (+/- gain)\n",
    "    shear=0.0,   # Image shear (+/- deg)\n",
    "    perspective=0.0,  # Image perspective\n",
    "    flipud=0.1,  # Image flip up-down\n",
    "    fliplr=0.1,  # Image flip left-right\n",
    "    mosaic=1.0,  # Image mosaic\n",
    "    mixup=0.0,   # Image mixup\n",
    "    \n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "06211243",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "file_path = f\"{str(results.save_dir)}\"  \n",
    "results_csv_path = f\"{file_path}/results.csv\"  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e67532ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All expected metrics are present.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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FrqJ59dVX8f7776NJkybw9PTE5cuX0b9/f8yZMwdKpRLfffcd4uPjcebMGYSEhNzydWbPno333nsP8+bNw6effooRI0bg0qVL8PLyqrZvUlISTpw4gaVLl9a47ouHh0eN72EwGBAUFITly5fD29sbu3btwrhx4xAQEIChQ4eivLwcgwYNwjPPPIOffvoJZWVl2Ldvn7FXI0aMQIcOHfDFF19ALpcjKSmp1mvHrF69GpMnT8ZHH32EuLg4/Prrr8ZTbD179sTKlSvx4YcfYtmyZYiMjMSFCxdw/vx5ABWjVpMmTcL333+PLl26IDc3F3///Xet6jAVw42FuChvtrJIWw5Hh7tbOpqIqC4p0enRasYfkrz3yTf7QuVomV9Xb775Jnr37m187OXlhaioKOPjt956C6tXr8a6deswceLEW77O6NGj8cQTTwAA3nnnHXzyySfYt28fHnzwwWr7njt3DgAQERFhVq0KhaLKPKHw8HDs3r0bv/zyC4YOHQqNRoP8/Hw89NBDaNq0KQAgMjLSuH9qaiqmTZtmfN/mzZub9f7/9P7772P06NF4/vnnAQAJCQnYs2cP3n//ffTs2ROpqanw9/dHXFwc5HI5PDw80LNnT2MdLi4ueOihh+Dm5obQ0FB06NCh1rWYgsMLFqKQy4yjNYXacomrISKimnTq1KnK48LCQrz00kuIjIyEh4cHXF1dcerUKaSmpt72ddq1a2f83sXFBWq1GllZWTXuK4piretdsGABoqOj0ahRI7i6umLRokXG2ry8vDB69Gj07dsX8fHx+Pjjj6vMO0pISMDTTz+NuLg4vPvuu7hw4UKt6zh16hS6du1aZVvXrl1x6tQpAMBjjz2GkpISNGnSBOPGjcOvv/6K8vKK34W9e/dGaGgomjRpgieffBI//vgjiouLa12LKThyY0GuSgfklpehqIzhhojsi7NCjpNv9pXsvS3FxaXqBR8vvfQSEhMT8f7776NZs2ZwdnbGkCFDUFZWdtvX+ffpHUEQYDAYaty3RYsWAIDTp0+bNWKxbNkyvPTSS/jggw8QGxsLNzc3zJs3D3v37jXus3jxYkyaNAkbN27Ezz//jNdffx2JiYm49957MWvWLAwfPhy//fYbfv/9d8ycORPLli3D4MGDTa7BVMHBwThz5gz+/PNPbNq0CS+99BI+//xzbNu2DW5ubjh06BC2bt2KTZs2YcaMGZg1axb2799/y1Nyd4sjNxbkoqz4C1jEkRsisjOCIEDl6CDJlzVXSt65cydGjx6NwYMHo23btvD398fFixct+h7t27dHq1at8MEHH9QYgG515/WdO3eiS5cueP7559GhQwc0a9asxtGXDh06YPr06di1axfatGmDpUuXGp9r0aIFpk6dik2bNuGRRx7B4sWLa/UZIiMjsXPnzmr1tWrVyvjY2dnZOIK0fv167N69G8eOHQMAODg4IC4uDu+99x6OHj2Kixcv4q+//qpVLabgyI0Fudw4J1yklWbSHRERmad58+ZYtWoV4uPjIQgC3njjjVuOwNSWIAhYvHgx4uLi0K1bN7z22muIiIhAYWEh1q9fj02bNtV4KXjz5s3x3Xff4Y8//kB4eDi+//577N+/H+Hh4QCAlJQULFq0CAMHDkRgYCDOnDmDc+fOYeTIkSgpKcG0adMwZMgQhIeH48qVK9i/fz8effTR29Z69erVaosIhoaGYtq0aRg6dCg6dOiAuLg4rF+/HqtWrTJeWbZkyRLo9Xp07twZTk5O+OWXX+Ds7IzQ0FD8+uuvSE5Oxv333w9PT09s2LABBoMBLVu2tEyDa8BwY0GVV0xx5IaIqH6YP38+xo4diy5dusDHxwevvPIKNBqNxd8nJiYGBw4cwJw5c/DMM88gOzsbAQEB6NKlyy0Xzhs/fjwOHz6MYcOGQRAEPPHEE3j++efx+++/A6i4senp06fxv//9Dzk5OQgICMCECRMwfvx4lJeXIycnByNHjkRmZiZ8fHzwyCOP3HEhw/fffx/vv/9+lW3ff/89/vOf/+Djjz/G+++/j8mTJyM8PByLFy9Gjx49AFRc8fXuu+8iISEBer0erVq1wtq1a+Ht7Q0PDw+sWrUKs2bNQmlpKZo3b46ffvoJrVu3vuu+3oog3s1Mp3pIo9HA3d0d+fn5UKvVJh+n0+mwYcMG9O/f/5aX0o36dh+2nb2GeUPa4bFOwZYquUEypd9kOey3bdX1fpeWliIlJQXh4eFwcnKSupy7ZjAYoNFooFara7wUmyzrbvp9u589c35/87+yBXHkhoiISHoMNxZknFBcxjk3REREUpE03MydOxf33HMP3Nzc4Ovri0GDBuHMmTN3PG758uWIiIiAk5MT2rZtiw0bNtig2jurXMiP69wQERFJR9Jws23bNkyYMAF79uxBYmIidDod+vTpg6Kiolses2vXLjzxxBN46qmncPjwYQwaNAiDBg3C8ePHbVh5zXhaioiISHqSXi21cePGKo+XLFkCX19fHDx4EPfff3+Nx3z88cd48MEHMW3aNAAVS2UnJibis88+w8KFC61e8+1w5IaI7EkDu96E6gBL/czVqUvB8/PzAaDGG49V2r17NxISEqps69u3L9asWVPj/lqtFlqt1vi48hI/nU4HnU5ncm2V+97uGCeHioWmCkrMe22qzpR+k+Ww37ZVH/otiiIKCwuhVCqlLuWuVf7CFEXR4mvYUHV302+tVgtRFCGKYrW/H+b8fakz4cZgMGDKlCno2rUr2rRpc8v9MjIy4OfnV2Wbn58fMjIyatx/7ty5NV7Xv2nTJqhUKrPrTExMvOVz568JAOS4lJZRZ+YB1Xe36zdZHvttW3W5325ubtBqtSgtLYWjo6NVVwm2lZycHKlLaFDM7bcoirh27Rpyc3ONNxv9J3PuR1Vnws2ECRNw/Phx7Nixw6KvO3369CojPRqNBsHBwejTp4/Z69wkJiaid+/et1yXwvFUFn44nwRnN0/079/5rmtvyEzpN1kO+21b9aHfoigiKyvLKgva2ZooiigtLYWTk5NdhLS67m767eDggE6dOtX498Kcn8U6EW4mTpyIX3/9Fdu3b0dQUNBt9/X390dmZmaVbZmZmfD3969xf6VSWeOwqkKhqNU/Krc7zl1V8T7FZfo6+w9WfVPb/05UO+y3bdX1fgcFBUGv19fp02em0Ol02L59O+6///463W97cTf9dnR0vOXCf+a8lqThRhRFvPDCC1i9ejW2bt1qvF/G7cTGxmLz5s2YMmWKcVtiYiJiY2OtWKlpXHi1FBHZGblcDrnccnflloJcLkd5eTmcnJwYbmygLvRb0nAzYcIELF26FGvXroWbm5tx3oy7uzucnZ0BACNHjkTjxo0xd+5cAMDkyZPRvXt3fPDBBxgwYACWLVuGAwcOYNGiRZJ9jkq8WoqIiEh6kq5z88UXXyA/Px89evRAQECA8evnn3827pOamor09HTj4y5dumDp0qVYtGgRoqKisGLFCqxZs+a2k5BtxbjOTZmel1ASERFJRPLTUneydevWatsee+wxPPbYY1ao6O5U3n5BbxChLTfASVG/h3KJiIjqI95byoJcHG9mRZ6aIiIikgbDjQXJZAJUjjdunslwQ0REJAmGGwtTOXJSMRERkZQYbizMVVk5cqOXuBIiIqKGieHGwrjWDRERkbQYbiyMa90QERFJi+HGwlw5ckNERCQphhsL48gNERGRtBhuLIwTiomIiKTFcGNhlQv5FZVx5IaIiEgKDDcWxtNSRERE0mK4sTBOKCYiIpIWw42F3VznhnNuiIiIpMBwY2EuSt5bioiISEoMNxZmPC3FCcVERESSYLixME4oJiIikhbDjYVxQjEREZG0GG4sjBOKiYiIpMVwY2HGCcVl5RBFUeJqiIiIGh6GGwurPC0likBxGUdviIiIbI3hxsKcFXLIhIrvOe+GiIjI9hhuLEwQBOP9pXjFFBERke0x3FgBJxUTERFJh+HGCionFXPkhoiIyPYYbqyAa90QERFJh+HGClx4CwYiIiLJMNxYAW/BQEREJB2GGyvgaSkiIiLpMNxYwc0JxbxaioiIyNYYbqygcp0bjtwQERHZHsONFbjwtBQREZFkJA0327dvR3x8PAIDAyEIAtasWXPHY3788UdERUVBpVIhICAAY8eORU5OjvWLNQMnFBMREUlH0nBTVFSEqKgoLFiwwKT9d+7ciZEjR+Kpp57CiRMnsHz5cuzbtw/PPPOMlSs1j2vlncEZboiIiGzOQco379evH/r162fy/rt370ZYWBgmTZoEAAgPD8f48ePxf//3f9YqsVZ4+wUiIiLpSBpuzBUbG4v//ve/2LBhA/r164esrCysWLEC/fv3v+UxWq0WWq3W+Fij0QAAdDoddDqdye9dua8pxzhVDNygoNS896CbzOk33T3227bYb9tiv23LWv025/UEURRFi757LQmCgNWrV2PQoEG33W/58uUYO3YsSktLUV5ejvj4eKxcuRIKhaLG/WfNmoXZs2dX27506VKoVCpLlF7NBQ3wyQkH+ChFvNGRozdERER3q7i4GMOHD0d+fj7UavVt961X4ebkyZOIi4vD1KlT0bdvX6Snp2PatGm455578M0339R4TE0jN8HBwcjOzr5jc/5Jp9MhMTERvXv3vmWQqnQqvQADP98NbxdH7Hm1h8nvQTeZ02+6e+y3bbHftsV+25a1+q3RaODj42NSuKlXp6Xmzp2Lrl27Ytq0aQCAdu3awcXFBd26dcPbb7+NgICAascolUoolcpq2xUKRa2abspxHi5OACruLcW/SHentv+dqHbYb9tiv22L/bYtS/fbnNeqV+vcFBcXQyarWrJcXjHBpY4MQAG4uUJxqc6Acr1B4mqIiIgaFknDTWFhIZKSkpCUlAQASElJQVJSElJTUwEA06dPx8iRI437x8fHY9WqVfjiiy+QnJyMnTt3YtKkSYiJiUFgYKAUH6FGlVdLAUCxjnNuiIiIbEnS01IHDhxAz549jY8TEhIAAKNGjcKSJUuQnp5uDDoAMHr0aBQUFOCzzz7Diy++CA8PDzzwwAN17lJwpYMMDjIB5QYRRdpyqJ04DEpERGQrkoabHj163PZ00pIlS6pte+GFF/DCCy9Ysaq7JwgCXJQOyC/RcSE/IiIiG6tXc27qE1fjLRh4WoqIiMiWGG6sxIW3YCAiIpIEw42V8OaZRERE0mC4sRJX4/2lGG6IiIhsieHGSlwcGW6IiIikwHBjJS6cUExERCQJhhsrceWEYiIiIkkw3FgJJxQTERFJg+HGSlw4oZiIiEgSDDdWYrxaqozhhoiIyJYYbqyEE4qJiIikwXBjJZxQTEREJA2GGyvhnBsiIiJpMNxYCa+WIiIikgbDjZXw9gtERETSYLixEpVj5ZwbTigmIiKyJYYbK6kcuSnTG1BWbpC4GiIiooaD4cZKKufcADw1RUREZEsMN1aikMvg6FDRXk4qJiIish2GGyviKsVERES2x3BjRS5cyI+IiMjmGG6syMWRt2AgIiKyNYYbK+JaN0RERLbHcGNFXKWYiIjI9hhurIgjN0RERLbHcGNFlROKi8s454aIiMhWGG6siKeliIiIbI/hxop4WoqIiMj2GG6siCM3REREtsdwY0UuHLkhIiKyOYYbK3I1rlDMCcVERES2Imm42b59O+Lj4xEYGAhBELBmzZo7HqPVavHaa68hNDQUSqUSYWFh+Pbbb61fbC3cXKGYIzdERES24iDlmxcVFSEqKgpjx47FI488YtIxQ4cORWZmJr755hs0a9YM6enpMBgMVq60djihmIiIyPYkDTf9+vVDv379TN5/48aN2LZtG5KTk+Hl5QUACAsLs1J1d49zboiIiGxP0nBjrnXr1qFTp05477338P3338PFxQUDBw7EW2+9BWdn5xqP0Wq10Gq1xscajQYAoNPpoNPpTH7vyn3NOebGlBsUasvNOo5q12+qPfbbtthv22K/bcta/Tbn9epVuElOTsaOHTvg5OSE1atXIzs7G88//zxycnKwePHiGo+ZO3cuZs+eXW37pk2boFKpzK4hMTHR5H3ztADggMJSHX77bQMEwey3a/DM6TfdPfbbtthv22K/bcvS/S4uLjZ5X0EURdGi715LgiBg9erVGDRo0C336dOnD/7++29kZGTA3d0dALBq1SoMGTIERUVFNY7e1DRyExwcjOzsbKjVapPr0+l0SExMRO/evaFQKEw6pqC0HB3n/AUAODajF5wUcpPfr6GrTb+p9thv22K/bYv9ti1r9Vuj0cDHxwf5+fl3/P1dr0ZuAgIC0LhxY2OwAYDIyEiIoogrV66gefPm1Y5RKpVQKpXVtisUilo13ZzjPOQ326s1CHDjXyqz1fa/E9UO+21b7Ldtsd+2Zel+m/Na9Wqdm65duyItLQ2FhYXGbWfPnoVMJkNQUJCEldVMJhOgcqxc64aTiomIiGxB0nBTWFiIpKQkJCUlAQBSUlKQlJSE1NRUAMD06dMxcuRI4/7Dhw+Ht7c3xowZg5MnT2L79u2YNm0axo4de8sJxVLjLRiIiIhsS9Jwc+DAAXTo0AEdOnQAACQkJKBDhw6YMWMGACA9Pd0YdADA1dUViYmJyMvLQ6dOnTBixAjEx8fjk08+kaR+U9xc64arFBMREdmCpHNuevTogdvNZ16yZEm1bREREfVqxruLkqeliIiIbKlezbmpj1S8BQMREZFNMdxYGW/BQEREZFsMN1bGCcVERES2xXBjZa7GOTecUExERGQLDDdW5nJjzk1RGUduiIiIbIHhxsp4WoqIiMi2GG6sjBOKiYiIbIvhxspcGG6IiIhsiuHGyioX8eNpKSIiIttguLEy3n6BiIjItu463Gg0GqxZswanTp2yRD12h6eliIiIbMvscDN06FB89tlnAICSkhJ06tQJQ4cORbt27bBy5UqLF1jfGUdueCk4ERGRTZgdbrZv345u3boBAFavXg1RFJGXl4dPPvkEb7/9tsULrO9ceFqKiIjIpswON/n5+fDy8gIAbNy4EY8++ihUKhUGDBiAc+fOWbzA+s54V/Cy8tveAZ2IiIgsw+xwExwcjN27d6OoqAgbN25Enz59AADXr1+Hk5OTxQus7ypPS4kiUFzG0RsiIiJrczD3gClTpmDEiBFwdXVFaGgoevToAaDidFXbtm0tXV+956yQQyYABrFiUnHlaSoiIiKyDrN/0z7//POIiYnB5cuX0bt3b8hkFYM/TZo04ZybGgiCABdHBxRoy1GoLYev1AURERHZuVoNI3Tq1AmdOnUCAOj1ehw7dgxdunSBp6enRYuzFy7KinDDScVERETWZ/acmylTpuCbb74BUBFsunfvjo4dOyI4OBhbt261dH12gasUExER2Y7Z4WbFihWIiooCAKxfvx4pKSk4ffo0pk6ditdee83iBdoD3jyTiIjIdswON9nZ2fD39wcAbNiwAY899hhatGiBsWPH4tixYxYv0B64cCE/IiIimzE73Pj5+eHkyZPQ6/XYuHEjevfuDQAoLi6GXC63eIH2oDLc8LQUERGR9Zk9oXjMmDEYOnQoAgICIAgC4uLiAAB79+5FRESExQu0BzwtRUREZDtmh5tZs2ahTZs2uHz5Mh577DEolUoAgFwux6uvvmrxAu3BzQnFvFqKiIjI2mp1KfiQIUOqbRs1atRdF2OveGdwIiIi2zF7zg0AbNu2DfHx8WjWrBmaNWuGgQMH4u+//7Z0bXbD1ZHhhoiIyFbMDjc//PAD4uLioFKpMGnSJEyaNAnOzs7o1asXli5dao0a6z1OKCYiIrIds09LzZkzB++99x6mTp1q3DZp0iTMnz8fb731FoYPH27RAu2B8c7gDDdERERWZ/bITXJyMuLj46ttHzhwIFJSUixSlL25OeeGE4qJiIiszexwExwcjM2bN1fb/ueffyI4ONgiRdkbnpYiIiKyHbNPS7344ouYNGkSkpKS0KVLFwDAzp07sWTJEnz88ccWL9AeuHKFYiIiIpsxe+Tmueeew7Jly3Ds2DFMmTIFU6ZMwfHjx/Hzzz9j/PjxZr3W9u3bER8fj8DAQAiCgDVr1ph87M6dO+Hg4ID27dub9wEk4MKrpYiIiGymVpeCDx48GDt27EBOTg5ycnKwY8cOdO/e3eyrpYqKihAVFYUFCxaYdVxeXh5GjhyJXr16mXWcVFx5WoqIiMhmarWIX00uXbqEJ5980qyrpfr164d+/fqZ/V7PPvsshg8fDrlcbtZoj1Qqr5Yq1RlQrjfAQV6rTElEREQmqHe/ZRcvXozk5GTMnDlT6lJMVjmhGACKynjFFBERkTVZbOTGFs6dO4dXX30Vf//9NxwcTCtdq9VCq9UaH2s0GgCATqeDTqcz+b0r9zXnmEoyUYSDTEC5QUR+USlU9arr0ribfpP52G/bYr9ti/22LWv125zXqze/ZvV6PYYPH47Zs2ejRYsWJh83d+5czJ49u9r2TZs2QaVSmV1HYmKi2ccAgKMgRzkE/J74F/zNf9sGq7b9ptphv22L/bYt9tu2LN3v4uJik/cVRFEUTdnxk08+ue3zV69exfvvvw+9vnanXQRBwOrVqzFo0KAan8/Ly4Onpyfkcrlxm8FggCiKkMvl2LRpEx544IFqx9U0chMcHIzs7Gyo1WqT69PpdEhMTETv3r2hUChM/2A3dH9/O9LyS7F8XAzaB3uYfXxDc7f9JvOw37bFftsW+21b1uq3RqOBj48P8vPz7/j72+SRmw8//PCO+4SEhJj6cmZTq9U4duxYlW2ff/45/vrrL6xYsQLh4eE1HqdUKqFUKqttVygUtWp6bY9zdXIA8gGtXuBfLjPUtt9UO+y3bbHftsV+25al+23Oa5kcbqxxa4XCwkKcP3++ynskJSXBy8sLISEhmD59Oq5evYrvvvsOMpkMbdq0qXK8r68vnJycqm2vi1y4kB8REZFNSDrn5sCBA+jZs6fxcUJCAgBg1KhRWLJkCdLT05GamipVeRZlXKWYa90QERFZlaThpkePHrjdlJ8lS5bc9vhZs2Zh1qxZli3KSrhKMRERkW3Uu3Vu6qubN8/kOjdERETWxHBjI643VinmyA0REZF1MdzYiAvvL0VERGQTZoebQ4cOVbkke+3atRg0aBD++9//oqyszKLF2RMXTigmIiKyCbPDzfjx43H27FkAQHJyMh5//HGoVCosX74cL7/8ssULtBeuvBSciIjIJswON2fPnkX79u0BAMuXL8f999+PpUuXYsmSJVi5cqWl67MbnFBMRERkG2aHG1EUYTAYAAB//vkn+vfvDwDGWxpQzTihmIiIyDbMDjedOnXC22+/je+//x7btm3DgAEDAFSsLuzn52fxAu0F59wQERHZhtnh5qOPPsKhQ4cwceJEvPbaa2jWrBkAYMWKFejSpYvFC7QXvFqKiIjINsxeobhdu3bVbmAJAPPmzatyx26qirdfICIisg2zR24uX76MK1euGB/v27cPU6ZMwXfffce7rd7GzdNSnFBMRERkTWaHm+HDh2PLli0AgIyMDPTu3Rv79u3Da6+9hjfffNPiBdoL1xv3lirTG1BWbpC4GiIiIvtldrg5fvw4YmJiAAC//PIL2rRpg127duHHH3+8440uGzKV8uYpO56aIiIish6zw41Op4NSqQRQcSn4wIEDAQARERFIT0+3bHV2RCGXwdGhot2cVExERGQ9Zoeb1q1bY+HChfj777+RmJiIBx98EACQlpYGb29vixdoT7hKMRERkfWZHW7+7//+D19++SV69OiBJ554AlFRUQCAdevWGU9XUc1cuJAfERGR1Zl9KXiPHj2QnZ0NjUYDT09P4/Zx48ZBpVJZtDh74+LIWzAQERFZm9nhBgDkcnmVYAMAYWFhlqjHrnGtGyIiIuurVbhZsWIFfvnlF6SmpqKsrKzKc4cOHbJIYfaIqxQTERFZn9lzbj755BOMGTMGfn5+OHz4MGJiYuDt7Y3k5GT069fPGjXaDY7cEBERWZ/Z4ebzzz/HokWL8Omnn8LR0REvv/wyEhMTMWnSJOTn51ujRrvBCcVERETWZ3a4SU1NNd4g09nZGQUFBQCAJ598Ej/99JNlq7MzN09LcUIxERGRtZgdbvz9/ZGbmwsACAkJwZ49ewAAKSkpEEXRstXZGZ6WIiIisj6zw80DDzyAdevWAQDGjBmDqVOnonfv3hg2bBgGDx5s8QLtiQvDDRERkdWZfbXUokWLYDBU3PhxwoQJ8Pb2xq5duzBw4ECMHz/e4gXaExeuUExERGR1ZocbmUwGmezmgM/jjz+Oxx9/3KJF2StX44RizrkhIiKyFpPCzdGjR01+wXbt2tW6GHt3c4VijtwQERFZi0nhpn379hAE4Y4ThgVBgF7PUYlb4YRiIiIi6zMp3KSkpFi7jgaBE4qJiIisz6RwExoaau06GgTefoGIiMj6TL4U/ODBg+jZsyc0Gk215/Lz89GzZ08cOXLEosXZG+NpqTI91wQiIiKyEpPDzQcffIAHHngAarW62nPu7u7o3bs35s2bZ9Hi7E3l7Rf0BhHacoPE1RAREdknk8PN3r178fDDD9/y+fj4eOzatcusN9++fTvi4+MRGBgIQRCwZs2a2+6/atUq9O7dG40aNYJarUZsbCz++OMPs95TSpVXSwE8NUVERGQtJoebq1evws3N7ZbPu7q6Ij093aw3LyoqQlRUFBYsWGDS/tu3b0fv3r2xYcMG42my+Ph4HD582Kz3lYpMJkDlyJtnEhERWZPJi/g1atQIZ86cQXh4eI3Pnz59Gj4+Pma9eb9+/dCvXz+T9//oo4+qPH7nnXewdu1arF+/Hh06dDDrvaXiqnRAcZke14t1CPWWuhoiIiL7Y3K4iYuLw5w5c/Dggw9We04URcyZMwdxcXEWLe5ODAYDCgoK4OXldct9tFottFqt8XHlhGidTgedTmfye1Xua84xNWnu64qsAi2SLuWgtb/LXb2WPbNUv8k07Ldtsd+2xX7blrX6bc7rCaKJl+1cuHAB0dHRaNmyJV588UW0bNkSQMWIzQcffICzZ8/iwIEDaNasWa2KFgQBq1evxqBBg0w+5r333sO7776L06dPw9fXt8Z9Zs2ahdmzZ1fbvnTpUqhUqlrVejc2XJbhjysydPIx4MnmnFRMRERkiuLiYgwfPhz5+fk1Xtz0TyaHGwA4cOAARo8ejZMnT0IQBAAVozatWrXC4sWLcc8999S6aHPDzdKlS/HMM89g7dq1tx0xqmnkJjg4GNnZ2Xdszj/pdDokJiaid+/eUCgUJh/3b3+fy8bY7w4hxMsZm6d2q/Xr2DtL9ZtMw37bFvttW+y3bVmr3xqNBj4+PiaFG7NunNmpUyccP34cSUlJOHfuHERRRIsWLdC+ffu7qddsy5Ytw9NPP43ly5ff8VSYUqmEUqmstl2hUNSq6bU9rlJ0eMW8pNTcEuRrDfBxrV4b3XS3/SbzsN+2xX7bFvttW5butzmvZfZdwYGKe03ZOtBU+umnnzB27FgsW7YMAwYMkKSGu+HurEBzX1ecyyrEoUvX0ae1v9QlERER2RWTLwW3hsLCQiQlJSEpKQlAxT2skpKSkJqaCgCYPn06Ro4cadx/6dKlGDlyJD744AN07twZGRkZyMjIQH5+vhTl11rHEE8AwKHUPGkLISIiskOShpsDBw6gQ4cOxsu4ExIS0KFDB8yYMQMAkJ6ebgw6ALBo0SKUl5djwoQJCAgIMH5NnjxZkvprKzq0Mtxcl7gSIiIi+1Or01KW0qNHj9veY2nJkiVVHm/dutW6BdlIx1APAMDRK3nQ6Q1QyCXNmERERHaFv1Ul0MTHFWonB5TqDDiVXv1GpERERFR7tRq5ycvLw759+5CVlQWDoepaLf+cI0M1k8kEdAjxxLaz13Do0nW0C/KQuiQiIiK7YXa4Wb9+PUaMGIHCwkKo1WrjejdAxVo1DDemiQ69EW5S8zC6q9TVEBER2Q+zT0u9+OKLGDt2LAoLC5GXl4fr168bv3Jzc61Ro126ecUUJxUTERFZktnh5urVq5g0aZIkty6wJ1HB7hAE4Mr1EmRpSqUuh4iIyG6YHW769u2LAwcOWKOWBsXNSYGWfm4AOHpDRERkSWbPuRkwYACmTZuGkydPom3bttWWQx44cKDFirN3HUM9cTqjAIdS8/BgmwCpyyEiIrILZoebZ555BgDw5ptvVntOEATo9fq7r6qB6BjiiaV7U3HoEkduiIiILMXscPPvS7+p9jqGeAAAjl7NR1m5AY4OXHaIiIjobvG3qYTCfVzgqVKgrNyAE2n16/5YREREdZVJIzeffPIJxo0bBycnJ3zyySe33XfSpEkWKawhEAQBHUM8sfl0Fg6l5qHDjcvDiYiIqPZMCjcffvghRowYAScnJ3z44Ye33E8QBIYbM3UMrQw31/EUwqUuh4iIqN4zKdykpKTU+D3dvQ435t1wUjEREZFlcM6NxKKCPCATgPT8UqTnl0hdDhERUb1XqxtnXrlyBevWrUNqairKysqqPDd//nyLFNZQuCgdEBmgxok0DQ5dysOAds5Sl0RERFSvmR1uNm/ejIEDB6JJkyY4ffo02rRpg4sXL0IURXTs2NEaNdq9jiGeFeEm9ToGtONifkRERHfD7NNS06dPx0svvYRjx47ByckJK1euxOXLl9G9e3c89thj1qjR7nUM9QAAHOS8GyIiortmdrg5deoURo4cCQBwcHBASUkJXF1d8eabb+L//u//LF5gQ1B5h/ATafko1XGFZyIiorthdrhxcXExzrMJCAjAhQsXjM9lZ2dbrrIGJMRLBR9XR+j0IhfzIyIiuktmh5t7770XO3bsAAD0798fL774IubMmYOxY8fi3nvvtXiBDYEgCMYF/A5dypO2GCIionrO7HAzf/58dO7cGQAwe/Zs9OrVCz///DPCwsLwzTffWLzAhqLy1BTn3RAREd0ds66W0uv1uHLlCtq1aweg4hTVwoULrVJYQ1N5E81DqdchiiIEQZC2ICIionrKrJEbuVyOPn364Pp1ji5YWrsgDzjIBGQVaHE1j4v5ERER1ZbZp6XatGmD5ORka9TSoDk7ytEqUA0AOJSaJ20xRERE9ZjZ4ebtt9/GSy+9hF9//RXp6enQaDRVvqj2OhonFXNkjIiIqLZMDjdvvvkmioqK0L9/fxw5cgQDBw5EUFAQPD094enpCQ8PD3h6elqzVrvX4R/zboiIiKh2TJ5QPHv2bDz77LPYsmWLNetp0KJDK8LhyTQNSnV6OCnkEldERERU/5gcbkRRBAB0797dasU0dI09nOHrpkRWgRZHr+QjJtxL6pKIiIjqHbPm3PDyZOsSBIHr3RAREd0ls9a5adGixR0DTm5u7l0V1NBFh3pi44kMzrshIiKqJbPCzezZs+Hu7m6tWgg37xB+mIv5ERER1YpZ4ebxxx+Hr6+vxd58+/btmDdvHg4ePIj09HSsXr0agwYNuu0xW7duRUJCAk6cOIHg4GC8/vrrGD16tMVqklrrQHco5AKyC8twObcEId4qqUsiIiKqV0yec2ONEYSioiJERUVhwYIFJu2fkpKCAQMGoGfPnkhKSsKUKVPw9NNP448//rB4bVJxUsjROrBidOzPU5kSV0NERFT/mH21lCX169cP/fr1M3n/hQsXIjw8HB988AEAIDIyEjt27MCHH36Ivn37Wrw+qTzSsTGSLufh483n8HD7QHi7KqUuiYiIqN4wOdwYDAZr1mGS3bt3Iy4ursq2vn37YsqUKbc8RqvVQqvVGh9XrqKs0+mg0+lMfu/Kfc05prYe6xCAn/am4lRGAd7ZcBLvDm5j9fesa2zZb2K/bY39ti3227as1W9zXs+sOTdSy8jIgJ+fX5Vtfn5+0Gg0KCkpgbOzc7Vj5s6di9mzZ1fbvmnTJqhU5s9nSUxMNPuY2ujrA5zKcMDKQ2kI0qaiidomb1vn2KrfVIH9ti3227bYb9uydL+Li4tN3rdehZvamD59OhISEoyPNRoNgoOD0adPH6jVpicGnU6HxMRE9O7dGwqFwhqlVpOmPIFfDl7FxmwPrHnsXjjIzb4VWL0lRb8bMvbbtthv22K/bcta/Tbn/pX1Ktz4+/sjM7PqJNvMzEyo1eoaR20AQKlUQqmsPmdFoVDUqum1Pa42Xu3fCptOZeFMZiF+3H8VT3drYpP3rUts2W9iv22N/bYt9tu2LN1vc16rXg0FxMbGYvPmzVW2JSYmIjY2VqKKrMvLxRGvPhgBAPgw8Swy8kslroiIiKjukzTcFBYWIikpCUlJSQAqLvVOSkpCamoqgIpTSiNHjjTu/+yzzyI5ORkvv/wyTp8+jc8//xy//PILpk6dKkX5NjG0UzA6hHigqEyPt387KXU5REREdZ6k4ebAgQPo0KEDOnToAABISEhAhw4dMGPGDABAenq6MegAQHh4OH777TckJiYiKioKH3zwAb7++mu7ugz832QyAW893AYyAfj1aDp2nMuWuiQiIqI6TdI5Nz169Ljt+jlLliyp8ZjDhw9bsaq6p01jd4yMDcOSXRcxY+1x/D6lG5QOcqnLIiIiqpPq1ZybhiyhTwv4uCqRnF2Er7YnS10OERFRncVwU0+onRR446FIAMCnf53H5VzTr/cnIiJqSBhu6pGBUYGIbeINbbkBs9efkLocIiKiOonhph4RBAFvDWoNB5mAP09lIfEkb6xJRET0bww39UwzXzfjYn6z1p1ASZle4oqIiIjqFoabemhSr2YIdHfC1bwSzPvjjNTlEBER1SkMN/WQytEBbw2quFP4tztT8NvRdIkrIiIiqjsYbuqpXpF+GN+94vTUtBVHcD6rQOKKiIiI6gaGm3psWp+WiG3ijeIyPcZ9fxAFpTqpSyIiIpIcw0095iCX4dPhHeCvdkLytSK8vOLobVd8JiIiaggYbuo5H1clPv9PRyjkAn4/noGv/ubqxURE1LAx3NiBjiGemBnfGgDw7u+nsesCb65JREQNF8ONnRjROQSPdgyCQQReWHoY6fklUpdEREQkCYYbOyEIAuYMboNWAWrkFJXhuR8OQVvOBf6IiKjhYbixI04KORb+JxpqJwckXc7D27+ekrokIiIim2O4sTMh3ip8/HgHAMD3ey5h5cErEldERERkWww3dqhnhC8m92oOAPjv6mM4kZYvcUVERES2w3Bjpyb3ao4eLRtBW27A+O8PIreoTOqSiIiIbILhxk7JZAI+GtYeIV4qXLleggk/HoJOb5C6LCIiIqtjuLFjHipHfD2qE1wc5didnIM5v3GCMRER2T+GGzvXws8N84e1BwAs2XURv+y/LG1BREREVsZw0wD0be2PqXEtAACvrzmOg5euS1wRERGR9TDcNBAvPNAMD7b2R5negGd/OIiM/FKpSyIiIrIKhpsGQiYT8MHQKLT0c8O1Ai3Gf38ApTquYExERPaH4aYBcVE64KuRneChUuDIlXz8d9UxiKIodVlEREQWxXDTwIR4q7BgeEfIZQJWHb6Kb3akSF0SERGRRTHcNEBdm/ng9QGRAIB3NpzC9rPXJK6IiIjIchhuGqjRXcIwtFMQDCIwcekhXMwukrokIiIii2C4aaAEQcBbg9qgQ4gHNKXlGPrlbny+9Txv00BERPUew00DpnSQ48v/RCPYyxlZBVq8t/EM7p27GS8tP4JjV3izTSIiqp8Ybho4X7UTEqd2x7wh7dCmsRpl5QasOHgF8Z/twCOf78TapKsoK+c9qYiIqP6oE+FmwYIFCAsLg5OTEzp37ox9+/bddv+PPvoILVu2hLOzM4KDgzF16lSUlnJRutpyUsjxWKdgrJ94H1Y+1wUPtw+EQi7gUGoeJi9LQpd3/8L8xLNIyyuRulQiIqI7cpC6gJ9//hkJCQlYuHAhOnfujI8++gh9+/bFmTNn4OvrW23/pUuX4tVXX8W3336LLl264OzZsxg9ejQEQcD8+fMl+AT2QxAERId6IjrUE68NiMSyfZfx495LyNRo8cnmc/hk8zn4q53QprE72jZ2R9sgNdo0doevm5PUpRMRERlJHm7mz5+PZ555BmPGjAEALFy4EL/99hu+/fZbvPrqq9X237VrF7p27Yrhw4cDAMLCwvDEE09g7969Nq3b3vm6OWFSr+Z4rkdT/HEiA9/tuoT9l3KRoSlFhqYUf57KNO7rp1ZWhJ3GHmgf4oH7mvlALhMkrJ6IiBoyScNNWVkZDh48iOnTpxu3yWQyxMXFYffu3TUe06VLF/zwww/Yt28fYmJikJycjA0bNuDJJ5+0VdkNikIuw0PtAvFQu0AUastxMk2DY1fzcfxqPo5dzceFa4XI1GiRqcnCn6eyAABNG7lgSlwLDGgbABlDDhER2Zik4SY7Oxt6vR5+fn5Vtvv5+eH06dM1HjN8+HBkZ2fjvvvugyiKKC8vx7PPPov//ve/Ne6v1Wqh1WqNjzUaDQBAp9NBp9OZXGvlvuYcY2+UMqBDkBs6BLkBCAIAFGnLcSqjAMfTNDhxVYMtZ6/hwrUivPDTYXyy+Sxe6NkUfVv5mR1y2G/bYr9ti/22LfbbtqzVb3NeTxAlvLlQWloaGjdujF27diE2Nta4/eWXX8a2bdtqPNW0detWPP7443j77bfRuXNnnD9/HpMnT8YzzzyDN954o9r+s2bNwuzZs6ttX7p0KVQqlWU/EKG0HNiWIWBLmgwl+opAE6gS0S/YgLaeIgQO5BARUS0UFxdj+PDhyM/Ph1qtvu2+koabsrIyqFQqrFixAoMGDTJuHzVqFPLy8rB27dpqx3Tr1g333nsv5s2bZ9z2ww8/YNy4cSgsLIRMVvUCsJpGboKDg5GdnX3H5vyTTqdDYmIievfuDYVCYcanbJg0JTos2X0Ji3elolBbDgBoFeCGSQ80xQMtG0G4Q8phv22L/bYt9tu22G/bsla/NRoNfHx8TAo3kp6WcnR0RHR0NDZv3mwMNwaDAZs3b8bEiRNrPKa4uLhagJHL5QBQ4x2ulUollEplte0KhaJWTa/tcQ2Nt0KBF/tG4qluTfH13ylYvDMFJ9ML8OyPSWgX5I7X+keicxPvO74O+21b7Ldtsd+2xX7blqX7bc5rSb7OTUJCAr766iv873//w6lTp/Dcc8+hqKjIePXUyJEjq0w4jo+PxxdffIFly5YhJSUFiYmJeOONNxAfH28MOVR3eKgc8VLflvj7lQfwXI+mcFbIcfRKPoYt2oMXfzmCnELtnV+EiIjIDJJfCj5s2DBcu3YNM2bMQEZGBtq3b4+NGzcaJxmnpqZWGal5/fXXIQgCXn/9dVy9ehWNGjVCfHw85syZI9VHIBN4uTjilQcj8NR94ZifeBY/7UvFykNX8OepTLzyYAQevyeYV1YREZFFSB5uAGDixIm3PA21devWKo8dHBwwc+ZMzJw50waVkaX5uCrxzuC2eCw6CK+tPo6T6Rr8d/UxrDh4GW8PaotWgabPgyIiIqqJ5KelqGHqEOKJdRO74o2HWsHFUY5DqXmI/2wH3vr1pHECMhERUW0w3JBkHOQyPHVfODa/2AMD2gZAbxDxzY4UxH2wDRtPZEK66/iIiKg+qxOnpahh83d3woIRHfHYmSzMWHsCqbnFeGHZEbgr5PgxYz9CvV0Q6qVCiLcKIV4qhHq7wFOluOPl5ERE1DAx3FCd0aOlLzZN9cbnW87ji20XkK8D9l+8jv0Xr1fb103pgGAvFTqGemBE51BEBnCuDhERVWC4oTrFSSFHQp+WGB0bjO/XJiIoogPS8rW4lFuM1JxipOYWI0NTigJtOU6ma3AyXYMf9qQiJswLT8aG4sE2/lDIebaViKghY7ihOsnNSYEwN6B/VEC1hZtKdXpcuV6MC9eKsO5IGv44noF9F3Ox72IuGrkpMTwmBMM7h8BP7SRR9UREJCWGG6p3nBRyNPN1QzNfN/Rt7Y9MTSmW7k3F0n2puFagxcebz2HBlvPo28YfI+8NRUy4F+fnEBE1IAw3VO/5qZ0wtXcLTOjZDH+cyMB3uy9i/8Xr+O1oOn47mo4QLxVa+LkizNsFoT4uCPNWIczbBYEezpBz4UAiIrvDcEN2w9FBhvioQMRHBeJkmgbf77mINYfTkJpbMVfn3xRyAcFeFUGnaSMX9Gjpi5hwL87ZISKq5xhuyC61ClRj7iPt8Gq/SBy5nIdLOUW4mFOMSzlFSMkuwuXcEpTpDUi+VoTka0X46zTw1d8pcHdWoFeEL/q09sP9LRpB5ci/IkRE9Q3/5Sa75u6swP0tGgFoVGW73iAiPb8El3KKcTGnCEcu52HzqSzkFJVh1eGrWHX4KpQOMnRr3gh9W/uhV6QfvFwcpfkQRERkFoYbapDkMgFBnioEearQtZkPRnQOhd4g4uCl69h0IgN/nMzA5dwS/HkqE3+eyoRMAGLCvdClqQ86hXqifYgHR3WIiOoo/utMdINcJiAm3Asx4V54bUAkTmcU4I8TGfjjRCZOpWuwJzkXe5Jzjfu2ClAjOtQTncI80SnUC/7uvPSciKguYLghqoEgCIgMUCMyQI0pcS1wObcYf53Owv6LuTh46TrS80tx7Go+jl3Nx5JdFwEAjT2c0SnME+2CPBAZ4IZIfzU8eSqLiMjmGG6ITBDspcKoLmEY1SUMAHA1rwQHbgSdAxev43SGBlfzSnA1qQRrk9KMx/mrnRAR4IbIADUi/N3QKkCNcB8XOPCKLCIiq2G4IaqFxh7OaNy+MR5u3xgAUFCqQ9LlPBy8dB0n0zQ4laHB5dwSZGhKkaEpxdYz14zHOjrIEOKlgp9aCV83J/i6KdHITQlfdcX3vje+d1XyrycRUW3wX08iC3BzUqBb80bo1vzmVVkFpTqcySjAqYwCnErX4HS6BqczClBcpsf5rEKczyq87Wt6uzji/haN0KNlI3Rv0QgeKp7iIiIyBcMNkZW4OSnQKcwLncK8jNsMBhGpucW4cr0EWQWlyCrQIkujNX5/rUCLLE0pisr0yCkqw+rDV7H68FXIBCA61BM9I3zxQIQvWvq58ZYSRES3wHBDZEMymYAwHxeE+bjcdr8ibTmOX83HX2eysOV0Fs5mFmL/xevYf/E63tt4BoHuTugR4YvuLRqhpZ8bgjydOY+HiOgGhhuiOshF6YDOTbzRuYk3pveLxOXcYmw9k4UtZ65h5/lspOXfuFno3lQAgINMQIiXCuE3glOYjwua3PgzQO0EGe+hRUQNCMMNUT0Q7KXCk7FheDI2DKU6PXZfyMGWM1nYm5yLizlF0JYbkJxdhOTsomrHKh1kiPB3Q5vG7mjb2B1tGrujhZ8bHB040kNE9onhhqiecVLI0TPCFz0jfAFUzONJ15TiYnbFfbNSsouM36fmFkNbbsCRK/k4ciXf+BqOchla+ruhTWM12jR2R6SfCwp1gE5vgEIh1ScjIrIMhhuiek4mEyouTfdwRtdmPlWeK9cbkJpbjBNpGhxPy8fxq/k4flWD/BKdcRFC4PKNvR3w2oE/4ayQw91ZAbWzA9ROCqidFRWPnRzg6eIIP7XTzcvY1Up4uygh52kvIqpDGG6I7JiDXIYmjVzRpJEr4qMCAQCiKOLK9RIcu1oRdo5dzceJtHzkFukAACU6PUp0emRoTHsPuUyAj2tF6PF1qwg+xgCkdoLfjW2eKsdbzv0RRRElOj3yinW4XlyG/GIdisr06BDiAR9XpUV6QUQNB8MNUQMjCAKCvVQI9lKhf9sAAIBOp8Ovv23AfT17o6Qc0JTqkF+ig6ZEZ/w+v0SH3KIyZN64dD1To0V2oRZ6g4hMjRaZGi2A/Fu+r0IuGMOPh8oRhaXluF5chrwSHfKLdSjTG6od4yATEBfph2H3BOP+Fo04QkREJmG4ISIAgEwAPFQKNDJj0k253oCcojJkakpvBJxSZGkq1uzJ1JQiQ1Oxbk9OURl0erHiFhV5Jbd8PYVcgIfKER7OCogAzmcVYuOJDGw8kQF/tROGRAdhaKdghHir7lhbVkEpTlzV4ERaPhzkMsSEe6FdY3deMk/UADDcEFGtOchlN05B3f6O6GXlBlwrvBl+8op1cHNSwENV+VURaFSO8iqLE57O0ODn/Zex+vBVZGhK8dmW8/hsy3nENvHGsHuC8WAbfygdZLhyvQQn0irmE51Iy8fxNA2uFWir1eHiKMc94V6IbeKN2KbeaB3oztEgIjvEcENEVufoIDNOejZHhL8aM+Nb49V+EUg8mYmf91/GjvPZ2J2cg93JOXBb6wCZICC/RFftWJkANGnkitaBapSU6bE3JRf5JTpsPXPNeK8vNycHdA73wr1NvNE53BvN/VzhpJBb5DMTkXQYboiozlM6yPFQu0A81C4QV64XY8XBK1h+4IrxFJdCLqCFnxtaB1Zc2t460B2RAW5QOd78J05vEHEqXYM9yTnYfSEH+1JyUVBajj9PZeHPU1kAKiZHN/FxQUSAGpEBboj0VyMiwA3+aife7oKoHmG4IaJ6JchThSlxLfDCA82RdDkPSgcZmvu5Qulw+xEXuUxAmxuLGD7drQnK9QacSNNUjAJdyEHS5Tzkl+hwLqsQ57IKsf7IzWPdnRWI8HdDU19XyAUBelGEwSBCbxBvfi9WrDkEAKHeKrQOdEfrQDVCvFRcIZrIxhhuiKhekssERId61vp4B7kMUcEeiAr2wLPdm0IUK676OpWuwakMDU6nF+B0hgYXrhUhv0SHvSm52JuSa/b7uCkdEBmoRutAtTHwhHry8nYia2K4ISJCxSXy/u5O8Hd3Mq7+DADacj3OZxXidHoBLuUWAwDkggC5rGIBRbkgQCYIN74H9CJwPqsAJ9IqAlKBthz7UnKx7x/ByNFBBje5HN+k7oGHixIezjcmVjsr4K5yhOeNidYOMhlKdHqU6vQoKdMb1yAq/cf3DjIZIgPc0CrAHS387zyCRdQQ1Ilws2DBAsybNw8ZGRmIiorCp59+ipiYmFvun5eXh9deew2rVq1Cbm4uQkND8dFHH6F///42rJqIGgKlg/zGiIu72cfq9AaczyrEibSKq7hOpGlwKk2DAm05csoF5Fw1caVEEznIBDTzdUWrQDVaBajRKlCN1gHucFfxnhrUsEgebn7++WckJCRg4cKF6Ny5Mz766CP07dsXZ86cga+vb7X9y8rK0Lt3b/j6+mLFihVo3LgxLl26BA8PD9sXT0R0Gwq5DJEBakQGqDEkOghAxbyclGsarE/cioioTigsE5FXXIb8Eh3yinXIK9Ehr7gMecU66PQGqBzlcHaUw1khh5Oi4s9/Pi4uK8fJdA1OpGmQV6zD6YwCnM4owCpcNdYR5OmMe5t4o1tzH3Rp6oNGbjwtRvZN8nAzf/58PPPMMxgzZgwAYOHChfjtt9/w7bff4tVXX622/7fffovc3Fzs2rULihuLjYWFhdmyZCKiWpPJBIR4qRDuBvSK8DX+O3a3RFFEhqZi4cKKsJOPk+kaXM4twZXrJVhx8ApWHLwCAIjwd0PXZj64r7kPYsK84KKU/FcBkUVJ+hNdVlaGgwcPYvr06cZtMpkMcXFx2L17d43HrFu3DrGxsZgwYQLWrl2LRo0aYfjw4XjllVcgl1c/16zVaqHV3lzMS6OpGAbW6XTQ6aqvjXErlfuacwzVHvttW+y3bVmr3z4qB3Rv7oXuzb2M2zQlOhy5mo/dF3Kx80IOTqYXGEd3vtmRAoVcQPtgD8SGe0Ht7AC9QUR55ZVg//gqN4gwiCJ8XJVo5uuC5r6uCFA71YsrwfjzbVvW6rc5rydpuMnOzoZer4efn1+V7X5+fjh9+nSNxyQnJ+Ovv/7CiBEjsGHDBpw/fx7PP/88dDodZs6cWW3/uXPnYvbs2dW2b9q0CSrVnZdw/7fExESzj6HaY79ti/22LVv2uw2ANmFAYWPgXL6AMze+crXA/ovXsf/idbNf01Emws8ZCFCJ8HcW4a8C/J1FeCorFlGsa/jzbVuW7ndxcbHJ+9a7sUiDwQBfX18sWrQIcrkc0dHRuHr1KubNm1djuJk+fToSEhKMjzUaDYKDg9GnTx+o1WqT31en0yExMRG9e/e22DAy3Rr7bVvst23VlX6LoojU6yXYeT4Hh1PzoDOIFVeCyQU4yATIb1wNJpdVPBYEID2/FOezipCSU4QyPXC5CLhcVDXJKOQCGrkq4e/uBD83pfFO8f7/uGO8i6McOUVlyC4sw7XCMuQUaqv8mV1YhrziMgAVV7IJAASh6veyG1eqhfuo0DpQjbaN1WgbqIb3v+4kX1f63VBYq9+VZ15MIWm48fHxgVwuR2ZmZpXtmZmZ8Pf3r/GYgIAAKBSKKqegIiMjkZGRgbKyMjg6OlbZX6lUQqmsPnlOoVDUqum1PY5qh/22LfbbtupCv5v5OaKZnztGdTXvOJ3egEs5xTiXWYBzWYU4m1mA81mFSL5WhDK9AWn5pUjLL7VO0f+SnF2EzaevGR8HujuhbZA72gV5oG1jd0T4VYzS14V+NySW7rc5ryVpuHF0dER0dDQ2b96MQYMGAagYmdm8eTMmTpxY4zFdu3bF0qVLYTAYIJNV3N337NmzCAgIqBZsiIjIOhRyGZr5uqKZryv6/WN7ud6AzAItMvJLK+4Mf+PP9PxSZGhubtOWG+CpUsDHVYlGbsoa/nSEl4sjZIIAgyhCFAERFaNNFQtBV2zTlhtwJqMAx67m4+iVPCRnFxmD1R8nbv6Pc+dGMvQTRRt3iaQi+WmphIQEjBo1Cp06dUJMTAw++ugjFBUVGa+eGjlyJBo3boy5c+cCAJ577jl89tlnmDx5Ml544QWcO3cO77zzDiZNmiTlxyAiIlSs/Hynm6SKYsUkZQe5zCLv2bWZj/H7glIdTqRpcOxKPo5ezcexK3m4mFOMvddkWHHoKobfG26R96S6TfJwM2zYMFy7dg0zZsxARkYG2rdvj40bNxonGaemphpHaAAgODgYf/zxB6ZOnYp27dqhcePGmDx5Ml555RWpPgIREZlBEAQ4yK0z49jNSYF7m3jj3ibexm1fbDmH//vjLOb8fgb3t/RDkKf5F5NQ/SJ5uAGAiRMn3vI01NatW6tti42NxZ49e6xcFRER2YMxXULxy64zSCnQ45WVR/H92M714hJ2qj3LjAkSERHVUXKZgOFN9XBSyLDzfA5+3HtJ6pLIyhhuiIjI7vk6Ay/1bg4AeGfDaaTmmL5mCtU/DDdERNQgPNk5BPc28UKJTo+XVhyBwcCrp+wVww0RETUIMpmAeUOi4OIox76UXCzedVHqkshKGG6IiKjBCPZS4b8DIgEA7208jQvXCiWuiKyB4YaIiBqU4TEh6NbcB9pyA15afgR6np6yOww3RETUoAiCgP97tB3clA44nJqHr/5OlroksjCGGyIianACPZwxI74VAGD+prM4m1kgcUVkSQw3RETUIA2JDkKvCF+U6Q148Zcj0OkNUpdEFsJwQ0REDZIgCJj7SFu4Oytw7Go+3v29YoJxWTlDTn1XJ26/QEREJAVftRPefLg1Ji9Lwjc7UvDNjhTIBKCxpzPCvF0Q7uOCMG8XhPmoEObtgiBPFRwdOC5Q1zHcEBFRgzYwKhBpeaVYfyQNF3OKUFymx+XcElzOLcHf57Kr7e+skEPt7AA3JwXUTjf+dL75vYdKgSBPZ4R6uSDEWwV3Z4UEn6phY7ghIqIGTRAEPNejKZ7r0RSiKOJagRYp2UW4mFOEiznFuJhdhJTsIlzKKUaJTm/8ytRoTXp9D5UCoV4qhHi73PhThWBPFZQKGUTjVegiRBEQgYo/bzzRyE2JUG8XyHmjT7Mw3BAREd0gCAJ81U7wVTuhcxPvKs+Jooi8Yh0KSsuhKdVVfJWUo6BUB03pjT9LynG9uAypucW4lFOM7EIt8op1yCvOx5Er+bWqydFBhmaNXNHCzxXN/dzQ0s8NLfzcEOTpzLub3wLDDRERkQkEQYCniyM8XRxNPqZIW24MOqm5RTf+LMaV6yXQ6Q0QBECAcOP1AeHG+wioGMVJzy9Bqc6Ak+kanEzXVHltZ4Uczf1c4evmBECEQQQMYsUI0L//VCpkaNrIFc19XdHczxXNGrnBXWW/p8sYboiIiKzERemAyAA1IgPUtTpebxBx5XoxzmQU4FxWIc5mFuBMRgGSrxWhRKfH0Sv5AEwbEdp65lqVx75uSjT3c0VzXzc083VF00auaOzhDF+1Ek4Kea3qrSsYboiIiOoouUxAqLcLQr1d0Kf1ze3legMu5RbjbEYBrhfrIBMA2Y2hH5kgGB8LQsVIUGFpOS5cK8S5rEKczyxAWn4psgq0yCrQYuf5nGrv66FSwF/tBD+1U8Wf7hV/+rsr0dhDhcaeznBV1t0IUXcrIyIioho5yCtOMzVt5Fqr4wtKdbhwrQjnMgtwPqsi9CRfK0R6fim05YYb84R0OJ1x65WbPVUKBHmqEOTpfOOr4nt/NwVK9bX9ZJbBcENERNTAuDkp0D7YA+2DPapsF0UR+SU6ZGhKkZFfiiyNtuJ7TSky80uRnl+KtPwS5BXrcL1Yh+vF+Th2tfppMUeZHIMfku6GpAw3REREBKDiFJaHyhEeKkdE+N96nlBBqQ5X80pwJbcEV65XTJC+cr0EV/KKcSW3BE4ogyBIdyUXww0RERGZxc1JgQh/RY0BSKfTYe2vGySo6iauIU1EREQWpZA4XTDcEBERkV1huCEiIiK7wnBDREREdoXhhoiIiOwKww0RERHZFYYbIiIisisMN0RERGRXGG6IiIjIrjDcEBERkV2pE+FmwYIFCAsLg5OTEzp37ox9+/aZdNyyZcsgCAIGDRpk3QKJiIio3pA83Pz8889ISEjAzJkzcejQIURFRaFv377Iysq67XEXL17ESy+9hG7dutmoUiIiIqoPJA838+fPxzPPPIMxY8agVatWWLhwIVQqFb799ttbHqPX6zFixAjMnj0bTZo0sWG1REREVNdJelfwsrIyHDx4ENOnTzduk8lkiIuLw+7du2953JtvvglfX1889dRT+Pvvv2/7HlqtFlqt1vhYo9EAqLhrqU6nM7nWyn3NOYZqj/22Lfbbtthv22K/bcta/Tbn9SQNN9nZ2dDr9fDz86uy3c/PD6dPn67xmB07duCbb75BUlKSSe8xd+5czJ49u9r2NWvWQKVSmV3z2rVrzT6Gao/9ti3227bYb9tiv23L0v0uLi4GAIiieMd9JQ035iooKMCTTz6Jr776Cj4+PiYdM336dCQkJBgfX716Fa1atcLTTz9trTKJiIjISgoKCuDu7n7bfSQNNz4+PpDL5cjMzKyyPTMzE/7+/tX2v3DhAi5evIj4+HjjNoPBAABwcHDAmTNn0LRp0yrHKJVKKJVK42NXV1dcvnwZbm5uEATB5Fo1Gg2Cg4Nx+fJlqNVqk4+j2mG/bYv9ti3227bYb9uyVr9FUURBQQECAwPvuK+k4cbR0RHR0dHYvHmz8XJug8GAzZs3Y+LEidX2j4iIwLFjx6pse/3111FQUICPP/4YwcHBd3xPmUyGoKCgWtesVqv5l8OG2G/bYr9ti/22LfbbtqzR7zuN2FSS/LRUQkICRo0ahU6dOiEmJgYfffQRioqKMGbMGADAyJEj0bhxY8ydOxdOTk5o06ZNleM9PDwAoNp2IiIiapgkDzfDhg3DtWvXMGPGDGRkZKB9+/bYuHGjcZJxamoqZDLJr1gnIiKiekLycAMAEydOrPE0FABs3br1tscuWbLE8gXVQKlUYubMmVXm75D1sN+2xX7bFvttW+y3bdWFfguiKddUEREREdUTPN9DREREdoXhhoiIiOwKww0RERHZFYYbIiIisisMNyZYsGABwsLC4OTkhM6dO2Pfvn1Sl2Q3tm/fjvj4eAQGBkIQBKxZs6bK86IoYsaMGQgICICzszPi4uJw7tw5aYqt5+bOnYt77rkHbm5u8PX1xaBBg3DmzJkq+5SWlmLChAnw9vaGq6srHn300WoriJNpvvjiC7Rr1864kFlsbCx+//134/PstXW9++67EAQBU6ZMMW5jzy1n1qxZEAShyldERITxeal7zXBzBz///DMSEhIwc+ZMHDp0CFFRUejbty+ysrKkLs0uFBUVISoqCgsWLKjx+ffeew+ffPIJFi5ciL1798LFxQV9+/ZFaWmpjSut/7Zt24YJEyZgz549SExMhE6nQ58+fVBUVGTcZ+rUqVi/fj2WL1+Obdu2IS0tDY888oiEVddfQUFBePfdd3Hw4EEcOHAADzzwAB5++GGcOHECAHttTfv378eXX36Jdu3aVdnOnltW69atkZ6ebvzasWOH8TnJey3SbcXExIgTJkwwPtbr9WJgYKA4d+5cCauyTwDE1atXGx8bDAbR399fnDdvnnFbXl6eqFQqxZ9++kmCCu1LVlaWCEDctm2bKIoVvVUoFOLy5cuN+5w6dUoEIO7evVuqMu2Kp6en+PXXX7PXVlRQUCA2b95cTExMFLt37y5OnjxZFEX+fFvazJkzxaioqBqfqwu95sjNbZSVleHgwYOIi4szbpPJZIiLi8Pu3bslrKxhSElJQUZGRpX+u7u7o3Pnzuy/BeTn5wMAvLy8AAAHDx6ETqer0u+IiAiEhISw33dJr9dj2bJlKCoqQmxsLHttRRMmTMCAAQOq9Bbgz7c1nDt3DoGBgWjSpAlGjBiB1NRUAHWj13ViheK6Kjs7G3q93ngriEp+fn44ffq0RFU1HBkZGQBQY/8rn6PaMRgMmDJlCrp27Wq8L1tGRgYcHR2N92urxH7X3rFjxxAbG4vS0lK4urpi9erVaNWqFZKSkthrK1i2bBkOHTqE/fv3V3uOP9+W1blzZyxZsgQtW7ZEeno6Zs+ejW7duuH48eN1otcMN0QN0IQJE3D8+PEq58jJ8lq2bImkpCTk5+djxYoVGDVqFLZt2yZ1WXbp8uXLmDx5MhITE+Hk5CR1OXavX79+xu/btWuHzp07IzQ0FL/88gucnZ0lrKwCT0vdho+PD+RyebUZ3pmZmfD395eoqoajssfsv2VNnDgRv/76K7Zs2YKgoCDjdn9/f5SVlSEvL6/K/ux37Tk6OqJZs2aIjo7G3LlzERUVhY8//pi9toKDBw8iKysLHTt2hIODAxwcHLBt2zZ88skncHBwgJ+fH3tuRR4eHmjRogXOnz9fJ36+GW5uw9HREdHR0di8ebNxm8FgwObNmxEbGythZQ1DeHg4/P39q/Rfo9Fg79697H8tiKKIiRMnYvXq1fjrr78QHh5e5fno6GgoFIoq/T5z5gxSU1PZbwsxGAzQarXstRX06tULx44dQ1JSkvGrU6dOGDFihPF79tx6CgsLceHCBQQEBNSNn2+bTFuux5YtWyYqlUpxyZIl4smTJ8Vx48aJHh4eYkZGhtSl2YWCggLx8OHD4uHDh0UA4vz588XDhw+Lly5dEkVRFN99913Rw8NDXLt2rXj06FHx4YcfFsPDw8WSkhKJK69/nnvuOdHd3V3cunWrmJ6ebvwqLi427vPss8+KISEh4l9//SUeOHBAjI2NFWNjYyWsuv569dVXxW3btokpKSni0aNHxVdffVUUBEHctGmTKIrstS3882opUWTPLenFF18Ut27dKqakpIg7d+4U4+LiRB8fHzErK0sURel7zXBjgk8//VQMCQkRHR0dxZiYGHHPnj1Sl2Q3tmzZIgKo9jVq1ChRFCsuB3/jjTdEPz8/UalUir169RLPnDkjbdH1VE19BiAuXrzYuE9JSYn4/PPPi56enqJKpRIHDx4spqenS1d0PTZ27FgxNDRUdHR0FBs1aiT26tXLGGxEkb22hX+HG/bccoYNGyYGBASIjo6OYuPGjcVhw4aJ58+fNz4vda8FURRF24wREREREVkf59wQERGRXWG4ISIiIrvCcENERER2heGGiIiI7ArDDREREdkVhhsiIiKyKww3REREZFcYboiIAAiCgDVr1khdBhFZAMMNEUlu9OjREASh2teDDz4odWlEVA85SF0AEREAPPjgg1i8eHGVbUqlUqJqiKg+48gNEdUJSqUS/v7+Vb48PT0BVJwy+uKLL9CvXz84OzujSZMmWLFiRZXjjx07hgceeADOzs7w9vbGuHHjUFhYWGWfb7/9Fq1bt4ZSqURAQAAmTpxY5fns7GwMHjwYKpUKzZs3x7p166z7oYnIKhhuiKheeOONN/Doo4/iyJEjGDFiBB5//HGcOnUKAFBUVIS+ffvC09MT+/fvx/Lly/Hnn39WCS9ffPEFJkyYgHHjxuHYsWNYt24dmjVrVuU9Zs+ejaFDh+Lo0aPo378/RowYgdzcXJt+TiKyAJvdopOI6BZGjRolyuVy0cXFpcrXnDlzRFGsuKP5s88+W+WYzp07i88995woiqK4aNEi0dPTUywsLDQ+/9tvv4kymUzMyMgQRVEUAwMDxddee+2WNQAQX3/9dePjwsJCEYD4+++/W+xzEpFtcM4NEdUJPXv2xBdffFFlm5eXl/H72NjYKs/FxsYiKSkJAHDq1ClERUXBxcXF+HzXrl1hMBhw5swZCIKAtLQ09OrV67Y1tGvXzvi9i4sL1Go1srKyavuRiEgiDDdEVCe4uLhUO01kKc7Ozibtp1AoqjwWBAEGg8EaJRGRFXHODRHVC3v27Kn2ODIyEgAQGRmJI0eOoKioyPj8zp07IZPJ0LJlS7i5uSEsLAybN2+2ac1EJA2O3BBRnaDVapGRkVFlm4ODA3x8fAAAy5cvR6dOnXDffffhxx9/xL59+/DNN98AAEaMGIGZM2di1KhRmDVrFq5du4YXXngBTz75JPz8/AAAs2bNwrPPPgtfX1/069cPBQUF2LlzJ1544QXbflAisjqGGyKqEzZu3IiAgIAq21q2bInTp08DqLiSadmyZXj++ecREBCAn376Ca1atQIAqFQq/PHHH5g8eTLuueceqFQqPProo5g/f77xtUaNGoXS0lJ8+OGHeOmll+Dj44MhQ4bY7gMSkc0IoiiKUhdBRHQ7giBg9erVGDRokNSlEFE9wDk3REREZFcYboiIiMiucM4NEdV5PHtORObgyA0RERHZFYYbIiIisisMN0RERGRXGG6IiIjIrjDcEBERkV1huCEiIiK7wnBDREREdoXhhoiIiOwKww0RERHZlf8HuPFMYa8RG9UAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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NMO/vS4MKN35+fvjyyy/RtWtXaLVaLFu2DJGRkdizZw86d+58x2MWLFiAefPmVVu/cePGWs2qGR8ff9dtSlEOQMBfW7aiufNddyMz1NTeZHlsb9tq6O2tUCjg6+uLwsJClJWVAaj45bhr1gOS1KMrKUJ+6d0ngSsoKKi2rrS0FKIoGv/jW1xcDKDil2zlOgB4+eWXkZCQgLfeegshISFwdHREdHQ0CgsLjfsZDAaUlpZWOa68vLzKcuV73L7u1v3Lysqqbdfr9Th9+jTGjh1bZZurq2uVoRl6vb7K9pKSkru+1+3uVH8lURSrbSstLTW2k6urK/bs2YOEhAQkJCTglVdeweLFi/HHH39AqVRiy5Yt2L59O7Zs2YI33ngDMTEx2LJlC1xdXau8T1lZGUpKSpCYmIjy8vIq2yr/bEzRoMJN69at0bp1a+Nyz549ce7cOSxatKjKwKZbzZ07F7NmzTIu5+fnIzAwEIMHD4ZGozH5vXU6HeLj4zFo0KC7Pu9iybmdyM0qRIfO3dE7tP4+Z6UhMKW9yXLY3rZlL+1dWlqK9PR0ODs7Q61WG9e71nCMFERRREFBAVxcXKrNgKtWqyEIgvH3QeV/el1cXKr8jkhKSsKkSZMwfvx4ABU9Oenp6XBwcDDuJ5PJoFarqxxX2VtTSRCEavvcSqFQVDlnpW+++Qa5ubl4/PHHazz/7e61/VZ3qr9S27ZtceDAAUyZMsW4bv/+/WjXrp1xf41Gg8ceewzjxo3DM888g27duiE1NdXY+TBixAiMGDEC77zzDjw8PLBv3z488sgjVd6ntLQUjo6O6Nu3b5WfKQAmhzSggYWbO+nWrRu2b99+1+0qlQoqlaraeqVSWat/VGo6ztWpYn1Judig/8GqT2r750S1w/a2rYbe3nq9HoIgQCaT1esHUlZeSqms9VaVy3f6euu+YWFhiIuLw4gRIyAIAl5//XUYDIZq57x9+U5tc6/2KikpQVZWVpVbwRctWoTnn38eAwYMMOtcqampOHz4cJV1YWFhaNLkzlOWXL58udr+zZs3xz//+U+MGzcOnTt3xsCBA7Fu3TrExcVh06ZNkMlkiI2NhV6vR/fu3aFWq/Hzzz/D0dERISEhWL9+Pc6fP4++ffvC3d0d69evh8FgQHh4+B3bRhCEO/7dMOfvSoMPN8nJyfDz85O6DACAy407pvJLGvZ1dCIiqmrhwoWYPHkyevbsCU9PT/zf//2fWT0J5vj666/x9ddfw8HBAU2bNkWXLl3w008/YfTo0Waf69YrF5W2bdtWZbK/W3300Uf46KOPqqz77rvv8OSTT+LTTz/FRx99hBkzZiAkJATLly9HZGQkgIpb0t977z3MmjULer0ebdu2xZo1a9C0aVO4ublh1apViImJQWlpKcLCwrBy5Uq0a9fO7M9jKknDTWFhIc6ePWtcTklJQXJyMjw8PBAUFIS5c+fi0qVL+PbbbwEAn3zyCUJCQtCuXTuUlpZi2bJl2LJlCzZu3CjVR6hCc+OOqYLS8nvsSURE9cHEiRMxceJE43JkZOQdbykPDg7Gli1bqqybNm1aleXb72S603lyc3NrrCchIaHG7fc6vznbb3d7/bd7/vnn8fzzz99x26hRo4x3aVWOw6m8XNW7d2+zPpclSBpukpKSjLeKATcTZnR0NGJjY5GRkVFlDoGysjLMnj0bly5dgpOTEzp27IhNmzZVOYeUjD03pey5ISIikoqk4eZuCblSbGxsleVXX30Vr776qpWrqj2NI3tuiIiIpFZ/R4A1QBqOuSEiIpIcw40F3bwsxZ4bIiIiqTDcWFDlZSmOuSGixsSSz3Sixs1SP0sMNxZU2XPDMTdE1BhUzjtizsyxRDWpnOn69kcvmKvBz3NTn1TeCs4xN0TUGFQ+IDErKwtAxey+t88AXB8YDAaUlZWhtLS0Xk82aC9q294GgwHZ2dlwcnKCQlG3eMJwY0E3e24YboiocfD19QUAY8Cpj0RRRElJCRwdHetl+LI3dWlvmUyGoKCgOv85MdxYkPFWcG05DAYRMhn/EhGRfRMEAX5+fvD29q63TznX6XRITExE3759G/TjLhqKurS3g4ODRXrXGG4sqPJWcFEEisrKjT05RET2Ti6X13mchLXI5XKUl5dDrVYz3NhAfWhvXny0IJVCBgd5RZPydnAiIiJpMNxYkCAIcDE+X6p+ds8SERHZO4YbC9M4Vs5SzJ4bIiIiKTDcWBh7boiIiKTFcGNhGj4ZnIiISFIMNxbmYpzIj5eliIiIpMBwY2EaTuRHREQkKYYbCzP23PBWcCIiIkkw3FhY5d1S7LkhIiKSBsONhXHMDRERkbQYbiyMd0sRERFJi+HGwjjmhoiISFoMNxbGMTdERETSYrixMI65ISIikhbDjYVxnhsiIiJpMdxYWGW40ZYboC3XS1wNERFR48NwY2HONy5LAUABBxUTERHZHMONhcllApxVleNueGmKiIjI1hhurEBzo/eGPTdERES2x3BjBS6cyI+IiEgyDDdWoHFkzw0REZFUGG6swNhzwzE3RERENsdwYwUcc0NERCQdhhsr4JgbIiIi6TDcWAHH3BAREUmH4cYKOOaGiIhIOgw3VqAxXpZizw0REZGtMdxYgfHJ4BxzQ0REZHMMN1agcax8Mjh7boiIiGyN4cYKKm8F55gbIiIi22O4sYLKAcUFvCxFRERkcww3VmC8FVxbDoNBlLgaIiKixoXhxgoq75YSRaCojONuiIiIbInhxgpUChkc5BVNy9vBiYiIbIvhxgoEQTDeDs5xN0RERLbFcGMllbeD55ew54aIiMiWGG6shD03RERE0mC4sRINnwxOREQkCYYbK7nZc8PLUkRERLbEcGMlGj4ZnIiISBIMN1bCnhsiIiJpMNxYifFuKY65ISIisimGGyup7LnhJH5ERES2xXBjJRxzQ0REJA2GGyvhmBsiIiJpMNxYCcfcEBERSYPhxkrYc0NERCQNhhsr4ZgbIiIiaUgabhITEzF8+HD4+/tDEASsXr3a5GN37NgBhUKB++67z2r11UVluNGWG6At10tcDRERUeMhabgpKipCREQElixZYtZxubm5ePrppzFgwAArVVZ3zjcuSwG8NEVERGRLinvvYj1RUVGIiooy+7ipU6di/PjxkMvlZvX22JJcJsBZpUChthwFpeXwdFZJXRIREVGj0ODG3Cxfvhznz5/Hm2++KXUp96SpnMiP426IiIhsRtKeG3OdOXMGc+bMwbZt26BQmFa6VquFVqs1Lufn5wMAdDoddDrTQ0flvuYc46yqqPF6UalZx1Ht2ptqj+1tW2xv22J725a12tuc8zWYcKPX6zF+/HjMmzcPrVq1Mvm4BQsWYN68edXWb9y4EU5OTmbXER8fb/K+5SVyAAK27tyLvFOi2e9F5rU31R3b27bY3rbF9rYtS7d3cXGxyfsKoijWi9+6giAgLi4Oo0aNuuP23NxcuLu7Qy6XG9cZDAaIogi5XI6NGzfiwQcfrHbcnXpuAgMDkZOTA41GY3J9Op0O8fHxGDRoEJRKpUnHPPvdASSczsG7o9ri0S4BJr8X1a69qfbY3rbF9rYttrdtWau98/Pz4enpiby8vHv+/m4wPTcajQZHjhypsu7zzz/Hli1b8OuvvyIkJOSOx6lUKqhU1QfzKpXKWjW6Oce5OTkAAIrKRP6FqqXa/jlR7bC9bYvtbVtsb9uydHubcy5Jw01hYSHOnj1rXE5JSUFycjI8PDwQFBSEuXPn4tKlS/j2228hk8nQvn37Ksd7e3tDrVZXW19fuNyY66aAj2AgIiKyGUnDTVJSEvr3729cnjVrFgAgOjoasbGxyMjIQFpamlTl1ZnG8cbdUpznhoiIyGYkDTeRkZGoachPbGxsjcfHxMQgJibGskVZUGXPDR+eSUREZDsNbp6bhuTm86XYc0NERGQrDDdWVPlkcPbcEBER2Q7DjRVpHCsHFLPnhoiIyFYYbqzIhY9fICIisjmGGyvS8FZwIiIim2O4saLKB2cWaMthMNSLiaCJiIjsHsONFVWOuRFFoKiM426IiIhsgeHGilQKGRzkFU3MifyIiIhsg+HGigRBMA4q5rgbIiIi22C4sbLKS1OcyI+IiMg2GG6sjD03REREtsVwY2UaPl+KiIjIphhurOxmzw0vSxEREdkCw42V3Xx4JntuiIiIbIHhxsrYc0NERGRbDDdWZrxbimNuiIiIbILhxsqMD89kzw0REZFNMNxYGcfcEBER2RbDjZVxzA0REZFtMdxYGcfcEBER2RbDjZWx54aIiMi2GG6sjGNuiIiIbIvhxsoqw4223ABtuV7iaoiIiOwfw42VOd+4LAXw0hQREZEtMNxYmVwmwFnFcTdERES2wnBjA5rKifw47oaIiMjqGG5swOXGuBv23BAREVkfw40NaBwrH8HAnhsiIiJrY7ixgZs9Nww3RERE1sZwYwM3x9zwshQREZG1MdzYAHtuiIiIbIfhxgZujrlhzw0REZG1MdzYQGXPDQcUExERWR/DjQ3cfL4Ue26IiIisjeHGBm4+GZw9N0RERNbGcGMDGsfKy1LsuSEiIrI2hhsbYM8NERGR7TDc2MDNMTcMN0RERNbGcGMDlZP4FWrLYTCIEldDRERk3xhubKByzI1BBIrKOO6GiIjImhhubEClkEEpFwDwyeBERETWxnBjA4Ig3Bx3w0HFREREVsVwYyM375hizw0REZE11Tnc5OfnY/Xq1Thx4oQl6rFbxrlueMcUERGRVZkdbsaNG4fPPvsMAFBSUoKuXbti3Lhx6NixI3777TeLF2gvNMYng7PnhoiIyJrMDjeJiYno06cPACAuLg6iKCI3NxeLFy/G22+/bfEC7UXlZSmOuSEiIrIus8NNXl4ePDw8AAB//fUXxowZAycnJwwbNgxnzpyxeIH2gj03REREtmF2uAkMDMSuXbtQVFSEv/76C4MHDwYAXL9+HWq12uIF2gtjzw3H3BAREVmVwtwDZs6ciQkTJsDZ2RnNmzdHZGQkgIrLVR06dLB0fXaDD88kIiKyDbPDzQsvvIBu3bohPT0dgwYNgkxW0fnTokULjrmpAcfcEBER2YbZ4QYAunbtiq5duwIA9Ho9jhw5gp49e8Ld3d2ixdkTjrkhIiKyDbPH3MycORP//e9/AVQEm379+qFz584IDAxEQkKCpeuzGxxzQ0REZBtmh5tff/0VERERAIB169YhJSUFJ0+exMsvv4x///vfFi/QXlSOuSngZSkiIiKrMjvc5OTkwNfXFwCwfv16PProo2jVqhUmT56MI0eOWLxAe3FzzA0vSxEREVmT2eHGx8cHx48fh16vx19//YVBgwYBAIqLiyGXyy1eoL0wPjiTl6WIiIisyuwBxZMmTcK4cePg5+cHQRAwcOBAAMCePXvQpk0bixdoLyrDjbbcAG25HioFgyAREZE1mB1uYmJi0L59e6Snp+PRRx+FSqUCAMjlcsyZM8fiBdoLZ/XNpi4oLYfKmeGGiIjIGmr1VPCxY8fi5ZdfRkBAgHFddHQ0Ro4cadZ5EhMTMXz4cPj7+0MQBKxevbrG/bdv345evXqhadOmcHR0RJs2bbBo0aLafASbk8sEOKsqAg5vByciIrKeWoWbrVu3Yvjw4QgNDUVoaChGjBiBbdu2mX2eoqIiREREYMmSJSbt36RJE7z44otITEzEiRMn8Nprr+G1117D0qVLzX5vKWh4OzgREZHVmX1Z6vvvv8ekSZPwyCOPYPr06QCAHTt2YMCAAYiNjcX48eNNPldUVBSioqJM3r9Tp07o1KmTcTk4OBirVq3Ctm3b8Nxzz5n+ISTiolYCeaXsuSEiIrIis8PNO++8gw8++AAvv/yycd306dOxcOFCvPXWW2aFm7o6ePAgdu7cWeNjH7RaLbRarXE5Pz8fAKDT6aDTmd6DUrmvOcfczkVdMc7mWmFJnc7TGFiivcl0bG/bYnvbFtvbtqzV3uacTxBFUTTn5CqVCseOHUNoaGiV9WfPnkX79u1RWlpqzuluFiIIiIuLw6hRo+65b0BAALKzs1FeXo6YmBi8/vrrd903JiYG8+bNq7Z+xYoVcHJyqlWttfXVCRmO58rweAs9eviY1exERESNWnFxMcaPH4+8vDxoNJoa9zW75yYwMBCbN2+uFm42bdqEwMBAc09XK9u2bUNhYSF2796NOXPmIDQ0FE888cQd9507dy5mzZplXM7Pz0dgYCAGDx58z8a5lU6nQ3x8PAYNGgSlUlmrujcXHcHx3AwEtwrH0F7BtTpHY2GJ9ibTsb1ti+1tW2xv27JWe1deeTGF2eFm9uzZmD59OpKTk9GzZ08AFWNuYmNj8emnn5p7uloJCQkBAHTo0AFXrlxBTEzMXcONSqUy3q5+K6VSWatGr+1xAODq5AAAKC4z8C+YierS3mQ+trdtsb1ti+1tW5Zub3POZXa4ef755+Hr64uPP/4YP//8MwAgPDwcP/30k9m3gluCwWCoMqamPtM48hEMRERE1mZ2uAGA0aNHY/To0VXW5ebmYsWKFWYNKC4sLMTZs2eNyykpKUhOToaHhweCgoIwd+5cXLp0Cd9++y0AYMmSJQgKCjLOhJyYmIiPPvrIeNdWfedS+QgGPjyTiIjIamoVbu4kNTUVTz31lFnhJikpCf379zcuV46NiY6ORmxsLDIyMpCWlmbcbjAYMHfuXKSkpEChUKBly5Z4//33MWXKFEt9DKu6+Xwp9twQERFZi8XCTW1ERkaippu1YmNjqyy/9NJLeOmll6xclfVUPhm8gD03REREVlOrGYqpdjSOlZel2HNDRERkLQw3NsSeGyIiIusz+bLU4sWLa9x+6dKlOhdj726OuWG4ISIishaTw40pT98OCgqqUzH2rvLBmYXachgMImQyQeKKiIiI7I/J4SYlJcWadTQKlWNuDCJQVFZuvDWciIiILIdjbmxIpZBBKa/oreGTwYmIiKyD4caGBEEwjru5XlwmcTVERET2ieHGxlp4NQEAHL9s+gPAiIiIyHQMNzbWOcgdAHAgLVfaQoiIiOyUxcJNcXExdu7caanT2a1ON8LNwbTrEldCRERknywWbs6cOYM+ffpY6nR2q3NzNwDAqSsFnMyPiIjICnhZysa8XdQIcHeEKAKH0vOkLoeIiMjuMNxI4Oa4G16aIiIisjSGGwl0DnIDwHBDRERkDSbPULx27doat3MGY9N1bl45qDiXj2EgIiKyMJPDzahRo+65jyDwl7Qpwv00UClkyCvR4XxOEUK9naUuiYiIyG6YfFnKYDDc86XX661Zq91QymXoGOAKgJemiIiILI1jbiTSOejmpSkiIiKyHJPDTd++fZGbm2tcXrt2LUpKSqxRU6PAyfyIiIisw+Rws337dpSV3XzY45NPPomMjAyrFNUYcDI/IiIi66j1ZSlRFC1ZR6PDyfyIiIisg2NuJMTJ/IiIiCzP5FvBAWDDhg1wda24y8dgMGDz5s04evRolX1GjBhhuersXOcgN6w9dJnhhoiIyILMCjfR0dFVlqdMmVJlWRAE3g5uBk7mR0REZHmc50ZC4X4aqJU3J/MjIiKiuuOYGwkp5TJ0bOYGgONuiIiILMWsy1IAsGXLFqxatQoXLlyAIAgICQnB2LFj0bdvX2vUZ/c6NXfD3gvXcDDtOsZ1DZS6HCIiogbPrJ6bqVOnYuDAgVi5ciWuXr2K7Oxs/PDDD+jfvz9eeukla9Vo1zoF3rhjKjVX2kKIiIjshMnhJi4uDsuXL8c333yDnJwc7Nq1C7t370Z2dja+/vprLF269J5PDqfqKifzO51VgHxO5kdERFRnJoeb5cuXY9asWZg4cWKVp3/LZDJMnjwZM2fOxH//+1+rFGnPbp3M7zAn8yMiIqozk8PNgQMHMHr06Ltuf+SRR7B//36LFNXYcDI/IiIiyzE53OTk5CAgIOCu2wMCAnD16lWLFNXYdA5yA8BwQ0REZAkmh5uysjIolcq7blcoFFUerEmmu30yPyIiIqo9s24Ff/311+Hk5HTHbcXFxRYpqDG6fTK/UG9nqUsiIiJqsEwON3379sWpU6fuuQ+Zr3Iyv70XruFA2nWGGyIiojowOdwkJCRYsQziZH5ERESWwccv1BPGO6Y4mR8REVGdMNzUE51u3DHFyfyIiIjqhuGmnrh1Mr9D6blSl0NERNRgMdzUI7w0RUREVHcMN/UIJ/MjIiKqO7PmuamUm5uLvXv3IisrCwaDocq2p59+2iKFNUaVk/klp1dM5ieTCfc4goiIiG5ndrhZt24dJkyYgMLCQmg0mioP0RQEgeGmDjiZHxERUd2ZfVlq9uzZmDx5MgoLC5Gbm4vr168bX9euXbNGjY1G5WR+AC9NERER1ZbZ4ebSpUuYPn36XR/DQHXTqbkbAOAgww0REVGtmB1uhgwZgqSkJGvUQuAdU0RERHVl9pibYcOG4Z///CeOHz+ODh06VHtS+IgRIyxWXGNUGW4qJ/PTqO/+JHYiIiKqzuxw8+yzzwIA5s+fX22bIAjQ6/V1r6oR83JRIdDDEenXSpCclou+rbykLomIiKhBMfuylMFguOuLwcYyHghpCgBYnXxJ4kqIiIgaHk7iVw9NeKA5AGDdocvIKiiVuBoiIqKGxaTLUosXL8Zzzz0HtVqNxYsX17jv9OnTLVJYY3ZfoBs6B7nhQFouftidhpcHtZK6JCIiogbDpHCzaNEiTJgwAWq1GosWLbrrfoIgMNxYyKReITiQdhA/7EnFC/1bQqWQS10SERFRg2BSuElJSbnj92Q9D7X3hZ+rGhl5pVh3KANjuwRIXRIREVGDwDE39ZRSLsNTPSrG3nyzPQWiKEpcERERUcNQqwdnXrx4EWvXrkVaWhrKysqqbFu4cKFFCiPgifuDsHjzGRzPyMfelGvo3qKp1CURERHVe2aHm82bN2PEiBFo0aIFTp48ifbt2+PChQsQRRGdO3e2Ro2NlnsTB4zuFICVe9PwzY4UhhsiIiITmH1Zau7cuXjllVdw5MgRqNVq/Pbbb0hPT0e/fv3w6KOPWqPGRm1yr2AAQPzxK0i/VixtMURERA2A2eHmxIkTePrppwEACoUCJSUlcHZ2xvz58/H++++bda7ExEQMHz4c/v7+EAQBq1evrnH/VatWYdCgQfDy8oJGo0GPHj2wYcMGcz9CgxLm44I+YZ4wiMD/dl6QuhwiIqJ6z+xw06RJE+M4Gz8/P5w7d864LScnx6xzFRUVISIiAkuWLDFp/8TERAwaNAjr16/H/v370b9/fwwfPhwHDx40630bmsm9QgAAPyWlo1BbLnE1RERE9ZvZY24eeOABbN++HeHh4Rg6dChmz56NI0eOYNWqVXjggQfMOldUVBSioqJM3v+TTz6psvzuu+9izZo1WLduHTp16mTWezck/Vp5oYVnE5zPKcJv+y8iumew1CURERHVW2aHm4ULF6KwsBAAMG/ePBQWFuKnn35CWFiYze+UMhgMKCgogIeHx1330Wq10Gq1xuX8/HwAgE6ng06nM/m9Kvc15xhLeuqBQMz7/SSW70jB4138IZMJktRhK1K3d2PD9rYttrdtsb1ty1rtbc75BNGMCVT0ej127NiBjh07ws3NrTa13b0QQUBcXBxGjRpl8jEffPAB3nvvPZw8eRLe3t533CcmJgbz5s2rtn7FihVwcnKqbbk2p9UDb+6Xo0Qv4Lk2erRz57w3RETUeBQXF2P8+PHIy8uDRqOpcV+zwg0AqNVqnDhxAiEhIXUqslohZoabFStW4Nlnn8WaNWswcODAu+53p56bwMBA5OTk3LNxbqXT6RAfH49BgwZBqVSafJwlvffXKfx3Ryp6tWyK2IldJKnBVupDezcmbG/bYnvbFtvbtqzV3vn5+fD09DQp3Jh9Wap9+/Y4f/68xcONOX788Uc888wz+OWXX2oMNgCgUqmgUqmqrVcqlbVq9NoeZwkTe7XA8p2p2HHuKlKulaKVj4skddiSlO3dGLG9bYvtbVtsb9uydHubcy6z75Z6++238corr+D3339HRkYG8vPzq7ysbeXKlZg0aRJWrlyJYcOGWf396pNADycMbusLAFi+44K0xRAREdVTJoeb+fPno6ioCEOHDsWhQ4cwYsQIBAQEwN3dHe7u7nBzc4O7u7tZb15YWIjk5GQkJycDqHgoZ3JyMtLS0gBUTBhYOacOUHEp6umnn8bHH3+M7t27IzMzE5mZmcjLyzPrfRuyyb0resxWHbiI60Vl99ibiIio8TH5stS8efMwdepU/P333xZ786SkJPTv39+4PGvWLABAdHQ0YmNjkZGRYQw6ALB06VKUl5dj2rRpmDZtmnF95f6Nwf3B7mjnr8Gxy/lYuS8NL0SGSl0SERFRvWJyuKkcd9yvXz+LvXlkZGSNT7u+PbAkJCRY7L0bKkEQMLlXCGb/cgjf7kzFs31aQCnnw92JiIgqmfVbURDse26VhuLhCD94OquQmV+K9UcypC6HiIioXjHrbqlWrVrdM+Bcu3atTgXRvakUcjz1QHMs2nQab/1+HA+0aAofjVrqsoiIiOoFs8LNvHnz4Orqaq1ayAxT+rXAn0czcDKzAC+tPIgVz3SHgpeniIiIzAs3jz/++F1nAibbUivl+HxCZwz/z3bsTbmGRZtO459D2khdFhERkeRM/q8+x9vUPy28nPHemI4AgCV/n8Pfp7IkroiIiEh6JocbM5/SQDYyPMIfTz4QBACY9VMyLueWSFwRERGRtEwONwaDgZek6qnXhrVF+2YaXC/W4aWVB6HTG6QuiYiISDIcgWoH1Eo5lozvDBeVAvtTr+PDDaekLomIiEgyDDd2onnTJvjw0YrxN0sTzyP++BWJKyIiIpIGw40deai9Hyb1CgYAzP45GenXiqUtiIiISAIMN3ZmblQ4IgLdkF9ajhdXHEBZOcffEBFR48JwY2ccFDIsGd8Jro5KHLqYh3fXn5C6JCIiIptiuLFDAe5OWDguAgAQu/MC/uTzp4iIqBFhuLFTA8J9MKVvCwDAa6uPIr9UJ3FFREREtsFwY8deGdIaLbya4GpRGf6z+YzU5RAREdkEw40dU8pleP3htgAqLk+dzy6UuCIiIiLrY7ixc/1beyOytRd0ehHv/MHBxUREZP8YbhqB14a1hUImYPPJLGw9nS11OURERFbFcNMIhHo74+kewQCAt34/zmdPERGRXWO4aSRmDAiDRxMHnM0qxA+7U6Uuh4iIyGoYbhoJVyclZg1qBQBYtOkMrheVSVwRERGRdTDcNCJPdAtCG18X5JXosGjTaanLISIisgqGm0ZELhPwxvCKW8O/352KU5kFEldERERkeQw3jUzPlp54qJ0vDGLF4GJRFKUuiYiIyKIYbhqhfw0Nh4Nchu1nc7DpRJbU5RAREVkUw00jFNTUCc/0CQEAvP3HcWjL9RJXREREZDkKqQsgabzQPxS/7L+I1KvFiN1xAVP6tay2jyiKuHC1GPsuXMP+C9dxtUgLfzdHBLo7IcDdEYEeFV9dHZUQBEGCT0FERFQdw00j5axS4P8eaoNXfjmE/2w5i0c6B8DNSYljl/ORdOEaki5cR1LqNeQU3vuWcReVAs1uhJ1Qb2c80zsETZ1VNvgURERE1THcNGKPdGqG73ZdwKGLeRi1ZAeuFZWhRFf1EpWDXIaIQFd0DfaAv5sjLueW4OL1EqRfK8bF6yXIKdSiQFuOk5kFOJlZgPjjV7DqwEUsfrwTurdoKtEnIyKixozhphGTyQS8MbwdxnyxE5dySwAAbk5KdG3ujq7BHrg/2B3tm7lCpZDf9RwlZXpcvF4RdNKvF+N/Oy/gXHYRnvh6N2YNaoUXIkMhk/GSFRER2Q7DTSPXpbk7vpnYFVn5WnRp7o6WXs5mhRFHBznCfFwQ5uMCABjTOQCvrzmKVQcu4aONp7En5RoWPXYfPHmZioiIbIR3SxEebOODx7sFIczHpc69LE1UCiwcdx8+HNsRaqUM287kYOin27Dr3FULVUtERFQzhhuyike7BmLti70R5u2MrAItJizbjcWbz0Bv4KSBRERkXQw3ZDWtfFyw5sVeeLRLAAwisDD+NKK/2YvsAq3UpRERkR1juCGrcnJQ4MNHI/DxoxFwVMqx/WwOhi7ehm1nsqUujYiI7BTDDdnEmC4BWPdSL7TycUZ2gRZP/XcvYtYeQ0kZZ0cmIiLLYrghmwn1dsGaab3xdI/mAIDYnRcw7D/bcCg9V9rCiIjIrjDckE05Osgxf2R7/G9yN3i7qHA+uwiPfLETn2w6DZ3eIHV5RERkBxhuSBL9Wnlh48t98XBHP+gNIj7ZdAZjv9yF89mFUpdGREQNHMMNScbNyQGfje+MTx+/Dxq1AofSczF08TZ8u+sCRJG3jBMRUe0w3JDkRt7XDBte7oveoZ4o1RnwxppjmPztAVwpAUMOERGZjY9foHrBz9UR307uhm93XcCCP09i+9mr2A4FvkvdjgfbeCOytTceaNEUjg53f84VERERwHBD9YhMJmBirxD0DvPCW+uOYfvZbKRfL8H/dqXif7tSoVLI8ECLpujf2guRrb0R7NlE6pKJiKgeYriheifU2xnLnu6MVevWQxPaFYlnr2HrqSxczivF1tPZ2Ho6G1h3HCGeTTCsgx+e6RMCNycHqcsmIqJ6guGG6i21HBgY7o2ojs0giiJOXylEwqks/H0qC0kXriMlpwif/X0W/9t5Ac/0aYF/9AmBs4o/0kREjR1/E1CDIAgCWvu6oLWvC6b0a4mCUh0STmVjyd9ncTKzAIs2nUbszhQ8H9kST/cIhlrJsTlERI0V75aiBslFrcTwCH+sn94Hi5/ohBaeTXC9WId3159E3w/+xne7U1FWzkkBiYgaI4YbatBkMgEjIvyx8eW++GBMRzRzc0RWgRavrz6KBz9OwK/7L0Jv4O3kRESNCcMN2QWFXIZx9wdiyyv9MG9EO3g6q3Dxegle+eUQBi3cimXbzuNqoVbqMomIyAYYbsiuqBRyRPcMRuKrkfi/h9rA1VGJ8zlFePuPE3hgwWZM++EAEk9nw8DeHCIiu8UBxWSXnBwUeD6yJZ58IAhrD13GT/vScfhiHv44koE/jmSgmZsjxnUNxKNdA+Dv5ih1uUREZEEMN2TXXNRKTOjeHBO6N8exy3n4eV864g5ewqXcEizadBqfbD6Nfq28MPI+fzirlDCIIkRRhEEE9AbxxjJgEEUIAtDe3xWh3s4QBEHqj0ZERHfBcEONRjt/V8wb6Yq5Q8Px19FM/LgvDbvPX0PCqWwknMo2+TzeLir0DvVErxsvX1e1FasmIiJzMdxQo6NWyjGqUzOM6tQMKTlF+GlfOvakXIUoAjIBkAlCxUt283tBALQ6Aw5dzEVWgRarDl7CqoOXAABh3s7GoPNACw+4qJUSf0IiosaN4YYatRDPJpgT1cbk/Ut1ehxIvY7tZ3Ow42wODl/Kw5msQpzJKkTszguQywS08XVBh2auaN/MFR2auaK1rwsnFSQisiGGGyIzqJVy9Az1RM9QTwBAbnEZdp+/eiPsXEVKThGOXc7Hscv5wL50AIBCJqCVz43AE1AReNr6aeCg4M2KRETWIGm4SUxMxIcffoj9+/cjIyMDcXFxGDVq1F33z8jIwOzZs5GUlISzZ89i+vTp+OSTT2xWL9Ht3Jwc8FB7PzzU3g8AcDm3BIcv5uLIpTwcuZSPIxdzcb1Yh+MZ+TiekY+fkioCj49GhTeHt0NUe18OTiYisjBJw01RUREiIiIwefJkPPLII/fcX6vVwsvLC6+99hoWLVpkgwqJzOPv5gh/N0dj2BFFEZdyS3D0Up4x8By+mIsr+Vq88MMBPNjGG/NHtkOAu5PElRMR2Q9Jw01UVBSioqJM3j84OBiffvopAOCbb76xVllEFiMIAgLcnRDg7mQMPKU6PT5POIcvEs5iy8ks7Dp3FbMGtcKkXsFQyHmpioiorux+zI1Wq4VWe3Pa/fz8fACATqeDTqcz+TyV+5pzDNWePbe3HMBLkSGIauuFN9adwL4L1/HO+hNYdeAi3hrZFhEBrjavyZ7buz5ie9sW29u2rNXe5pxPEEWxXsxDLwjCPcfc3CoyMhL33XffPcfcxMTEYN68edXWr1ixAk5OvBRA0jKIwN5sAWtSZSguFyBARG9fEQ8HGqC2+/96EBGZrri4GOPHj0deXh40Gk2N+9r9P59z587FrFmzjMv5+fkIDAzE4MGD79k4t9LpdIiPj8egQYOgVHIeE2trTO39MIAZRWV4789TWH0oA9syBZwucsS/olrjoXY+kMmsP+C4MbV3fcD2ti22t21Zq70rr7yYwu7DjUqlgkqlqrZeqVTWqtFrexzVTmNpb183JT55ojMevT8H/447ggtXizHj58MI8nDCUw80x6NdA+Dm5GD1OhpLe9cXbG/bYnvblqXb25xzcfQiUT3SK9QTf83sixkDwqBRK5B2rRjvrK94ovn//XoYRy/lSV0iEVG9J2nPTWFhIc6ePWtcTklJQXJyMjw8PBAUFIS5c+fi0qVL+Pbbb437JCcnG4/Nzs5GcnIyHBwc0LZtW1uXT2QVaqUcLw9qhan9WmJN8iX8b1cqTtyYI+enpHR0ae6Op3s0R1R7P04ESER0B5KGm6SkJPTv39+4XDk2Jjo6GrGxscjIyEBaWlqVYzp16mT8fv/+/VixYgWaN2+OCxcu2KRmIltxdJDj8W5BeOz+QOxPvY7/7UrFn0cysD/1OvanXsdbzicwvnsQJvcKtsklKyKihkLScBMZGYmabtaKjY2ttq6e3NxFZDOCIKBrsAe6Bnsga1g4Vu5Nxw97UpFVoMXizWfwv50X8NKDoXiqR3OoFHyGFRER+7SJGhBvjRozBoZhx5wH8dn4Tmjt44K8Eh3e/uMEBi1MxPojGfwPABE1egw3RA2QUi7Dwx39sX5GH7w/pgO8XFRIu1aMF344gDFf7MT+1OtSl1hroigi7uBFPPyfbXht9REcv2z67Z9EREAjuBWcyJ7JZQIeuz8ID3f0x9LE81iaeB4H0nIx5oudGNbBD68+1BrNmzaRukyTpV8rxr9XH0Xi6WwAwNFL+fh+dxruC3TD+O5BeLijH5wc+M8WEdWM/0oQ2YEmKgVeHtQK47sHYeHG0/h5fzr+OJKBjccz8eQDzdHaxwUlOj1KdHqUlumN35eUGVCq06NIq0NWlgzrrh+EUiGHXCZAIRMgl8kqvsorllv7umBslwCLj+3RG0Qs35GCjzeeRolODweFDM/0DkHq1WJsOJaJ5PRcJKfn4q3fj2N0p2YY3z0IbXxNn4STiBoXhhsiO+KjUeP9sR0xsVcw3l1/AtvO5GD5jgsmHi3D8dzse+71RcI5zB7cCiMjmllk9uTjl/MxZ9VhHL5YMYdP9xAPLHikA1p4OQMAsgu0+HX/Razcm4a0a8X4dlcqvt2Vis5BbhjfvTla+TijpEyPYp2+4muZHiVl5SjRVX6vR4CHE0Z3agZnFf/JI2oM+DedyA6F+2nw3T+6Y+vpbPywOxUGUYRaKYejUg5Hh4qv6lu+V8pEHDlyBG3bdQAEAeUGEXqDePOrXkSJTo+4gxdx8XoJXv7pEJYmpuDVh1ojspUXBMH8kFOq0+PTzWewNPE89AYRLmoF/j00HOO6BlYJTV4uKjwf2RJT+rbAjnM5WLEnDfHHr+BAWi4OpOWa/H4f/HUS47sHYVLPEPi6qs2ul4gaDoYbIjvWr5UX+rXyuud+Op0OTa4cxtD7A2qc4nzGgDAs35mCLxLO4URGPiYt34cHWnhgTlQ47gt0M7munedy8K9VFY+ZAIChHXwRM7wdvDV3Dx0ymYA+YV7oE+aFrIJS/JJ0EasPXkKhthyODnI4OVSGNwWcKoObgxwqhQxbT2XjfE4Rvtp6Hv/dloLhEf54pk8I2vnb/gnsRGR9DDdEZDJHBzleiAzF+G5B+DzhHGJ3XsDu89cwaskORLX3xStDWqPljctJBoOIy3klSMkpQkpOEc5nF+F8ThFScgqRfq0EAOCjUeGtke0xuJ2vWXV4u6gxrX8opvUPNWl/wzARm09m4ett57E35RriDl5C3MFL6NmyKZ7t0wL9WnnZ5AGlRGQbDDdEZDY3Jwf8a2g4onsGY1H8afx24CL+PJqJjcevoGfLpsjK1yLlahHKyg13PF4QgAndg/DqQ22gUVv/QYYymYBBbX0wqK0PDl/MxdfbUrD+SAZ2nruKneeuItTbGc/1aYExXQIgZ8ghavAYboio1pq5OeKjRyPwbJ8W+HDDSWw6kYVtZ3KM25VyAc2bNkGIZxO08Kz4GuLZBKHezmjqrJKk5o4BbvjPE50wJ6oNlm9PwY/70nE2qxCv/nYY3+9JxbujO6B9M16uImrIGG6IqM5a+7pgWfT92J96Hccu5yHQwwktPZ3h76aGQl4/5wpt5uaI1x5uixkDw7Bybxr+s+UsDl/Mw4jPtmNyrxC8PKgVmvDuKqIGqX7+q0NEDVLFE8uD0b+1N4KaOtXbYHMrF7USz/Vtic2z+uHhjn4wiMCy7SkYtHArNh2/InV5RFQL9f9fHiIiG/DWqPHZ+M5YPul+BLg74nJeKZ75NglTvktCRl6JRd7jcm4JVh+8hPm/n8CGiwKOXsqHwcBngRFZGvtciYhu0b+1N+Jf7odPN5/B19vOY8OxK9h+JgevDGmNp3sEmzzgWBRFpF4txt6Ua9iTcg17Uq7i4vVbQ5Ic67/cDS8XFSJbeaF/G2/0DvO0yQBrInvHcENEdBtHBznmRLXByPv88a+4IziYlot5647jp33paO3rApVCBgeFDCqF/MbXm8uiKOLQxTzsTbmKK/naKueVywS099egU6ArDpy6gHOFSmQXaPHL/ov4Zf9FKGQCujR3R/823niwjTfCvJ1rNUEiUWPHcENEdBfhfhr8NrUnVuxNw/t/ncTJzAKczCww+XgHuQwRga7oFuKBbiFN0aW5O5xVCuh0OqzHeQwY3B+HLhXg75NZ+PtUFs5lF93o5bmG9/48CU9nB4T7aRDup0EbXxeE+2nQ0ssZDgqOKCCqCcMNEVENZDIBTz7QHIPb+WDziSwUacuhLTegrNxwy1e9cVlvENHKxwXdQjzQKcgNauXdHzKqUsjQK9QTvUI98drDbZF2tRh/n6oIOrvOXUVOYRm2ncmpdnt9Sy9ntPXToI2fC8K8XeDprEJTZwd4NHGo8f2IGguGGyIiE3i7qPFEtyCrvkdQUydE9wxGdM9glOr0OJlZgBMZ+TiZkY8TGQU4kZmPgtLymz1IB6ufw1mlQFNnBzRt4oCmzio0beIAfzdHPH5/YI2PtyCyJww3RET1kFopx32BblWe2SWKIi7lluBERkFF4MnMR0pOMa4VaXGtqAw6vYhCbTkKteVIvfHcrkpfbzuPVx9qgwndgvioCbJ7DDdERA2EIAgIcHdCgLsTBrX1qbJNFEXkl5bjaqEWV4vKcLWwDFeLtLhaWIZNJ67g8MU8vL76KH7bfxHvju6Atv4aiT4FkfUx3BAR2QFBEODqqISroxItbnsQ/LT+ofh+dyo+3HAKyem5GP7ZdkzuFYyZAzkLM9knDrknIrJzcpmA6J7B2Dy7H4Z18IPeIOLrbSkYvCjRIrMwF2rLcfpKAf4+lYUVe9Kw+uAlZBWUWqByotphZCciaiR8NGosmdAZY09m4fU1R3Hxegme+TYJQ9r5IGZEO/i5OgKouMRVXKZHfqkO+SXlyCvRIb9Eh7wSHa4UlCIjtxSXc0twKbcEl3NLkF9afsf3a+Prgj5hnugd5oVuwR5wdOCdXGQbDDdERI1M/zbeiG9RMQvzshuzMG87kwMvFxXyS3TILy2H3szHQmjUCvi7OcLfzRHZBVocvZxnvKvr620pcFDIcH+wO3qHeqFPmCfa+mk4sJmshuGGiKgRqpyFeVQnf/w77ij2p16vdoeVQiZA46iERq2Aq6MSLmolvF1UxhDj76ZGMzdH+Lk5wvm2sTvXisqw42wOtp3JxrYzOcjIK8WOs1ex4+xVvP8X4O2iwhPdgjDhgSB4u/AWdbIshhsiokasja8Gv0zpgYPpuRBF8UaYUULjqICjUl7rxz94NHHA8Ah/DI/whyiKOJddhO03gs7u81eRVaDFp5vP4POEs3i4oz8m9gxGxC23vRPVBcMNEVEjJ7vxTCtrEQQBod7OCPV2xsReISgrN2DDsUzE7ryA/anXEXfwEuIOXkKnIDdM7BmMoR38oJTzfheqPYYbIiKyKQeFzNircyg9F//beQHrDl/GwbRcHExLxrvrT+DJ7s3xRPcgeDqrpC6XGiCGGyIikkxEoBsWPnYf5gxtg5V70vH9nlRcydfi4/jTWLzlDNr6aSpmag5yw32B7ghu6mTWpbK8Eh3Scgpwlxu6yE4x3BARkeS8XdSYMTAMz0e2xPojGVi+IwWHLuYZX//blQoAcHVUIuLGYyk6BbqhXTMNirR6pF0rRnrl63rxjeUS5JXoAACeKjn6PqiFn7tSyo9JNsJwQ0RE9YaDQoZRnZphVKdmSLtajOSLuUhOy0Vy+nUcvZyPvBIdEk9nI/F0tsnnVMoF5GiB574/iB+f68FZmRsB/gkTEVG9FNTUCUFNnTAiwh8AUFZuwKnMAiSnX8fB9Fwkp+fifHYRnBzkCHR3QqCHIwI9nBDo7oQgDycEejghwN0Rl68XYtRn23HkUj5e+OEAlkV35YBlO8dwQ0REDYKDQoYOAa7oEOCKp3pUrCvV6aFSyGochxPctAmmtNHji1MO2Ho6G3NXHcGHYzvW+jZ3qv8YXYmIqMFSmzgXT3MX4NPHIiCXCfh1/0V8vPG0DaojqTDcEBFRo9C/tRfeGdUeAPDZ32fx3e5UiSsia2G4ISKiRuPxbkGYOTAMAPDmmqPYcCxT4orIGhhuiIioUZkxIAxPdAuEQQSmrzyIpAvXpC6JLIzhhoiIGhVBEPDWyPYY0MYb2nID/vG/JJzNKpC6LLIghhsiImp0FHIZ/jO+E+4LdENeiQ7R3+zDlfxSqcsiC2G4ISKiRsnJQYH/RndFiGcTXMotwRNLd2Pdocso1xukLo3qiOGGiIgarabOKnw7uRu8XVQ4n1OEl1YeRP+PE/DtrgsoKdNLXR7VEsMNERE1aoEeTtgwsy9mDgyDRxMHpF8rwRtrjqHne5vxyabTuFZUJnWJZCaGGyIiavTcmzhg5sBW2PF/D+Ktke0Q6OGI68U6fLLpDHq+txlvrjmK9GvFUpdJJuLjF4iIiG5wdJDjqR7BeKJbEP46lomvtp7HkUsVTyX/bncqBoT7oGMzV7T0dkaotzOaN3WCSiGXumy6DcMNERHRbRRyGR7u6I9hHfyw69xVfJl4HomnsxF//Arij18x7icTgCAPJ4R6O6OllzNaejsjyMMJBlGEttwArc4Abbm+4vtyA7S6iu/Lyg1wdJBDo1bCRa2Ai1oBjaMSGrUCLmolNGol1Mqan5lFd8dwQ0REdBeCIKBnqCd6hnri+OV8JJzOwrmsIpzLLsS5rEIUaMtx4WoxLlwtxqYTWRZ9b6VcQN8wL8wf1R7N3Bwtem57x3BDRERkgrb+GrT11xiXRVFEdoEWZ28EnXPZFaHn4vUSKGQCVEoZVAo5VArZjZf8xjoZlHIZSnR65JeUo6BUh4LScuTf+FpQqoNBBHR6EZtPZmHPokS8Niwcj90fyJ4cEzHcEBER1YIgCPDWqOGtUaNnS0+LnVcURRSV6ZF6tQhvrDmG/anXMWfVEaw/mon3x3SAnyt7ce6Fd0sRERHVI4IgwFmlQDt/V/w8pQf+PTQcDgoZEk9nY/DCRPyclA5RFC3yXqIoolSnR3aB1q5maGbPDRERUT0llwl4tm8L9G/jjVd+OYTk9Fy8+uth/HkkAwse6QhfV/Vdj72SX4ojF/Nw5FIeUq8WoVBbjvzSchSWlqNQW3H5q1BbDp3+ZlC6L9ANE3sGY2gHPzgoGm7/B8MNERFRPRfq7Yxfp/bAsu0pWLjxNP4+lY1Bi7bizeHtMKZzM2QVaI1B5uilPBy+lIfsAq3J5xcEQACQnJ6LmT8l4531JzChexDGdw+Ct8vdA1R9xXBDRETUACjkMkzt1xIDbvTiHLqYh1d+OYS3fj+OvBJdtf1lQkUoat/MFa19XODqqISLWglntQLOKgU0aoXx+yYOClwrLsPKPWn4bncqsgq0+GTTGSz5+yyGdfDDxF4huC/QzfYfupYYboiIiBqQMB8X/PZ8T3yVeB6fbDqNvBJdlSDToZkrOga4ItxPAycH03/Nezqr8NKAMEyNbIk/j2bifzsvYH/qdaxOvozVyZcREeiGST2DMaitD5qo6nd8qN/VERERUTUKuQzT+odiTOcAZOSVoLWvi1lBpiZKuQwjIvwxIsIfhy/mInbnBfx+KAOHblyykglAuJ8GnYPc0aV5xSvA3bFe3abOcENERNRA+bqqaxxUXFcdA9ywcNx9+NfQcKzck4afktJx8XoJjl3Ox7HL+fhudyoAwMtFhc5BbujS3B0RzTTQGaxWkkkYboiIiKhGlZesXhoQhsy8UhxIu479qRWvY5crBi9vOHYFG45VPJrCQSbHQw8ZoFRKUy/DDREREZnM11WNoR38MLSDHwCgVKfH0Ut5xrCzP/U6nKCFSsJbySW9iT0xMRHDhw+Hv78/BEHA6tWr73lMQkICOnfuDJVKhdDQUMTGxlq9TiIiIroztVKOrsEemNKvJZY+3RW7/q8fXmirl7QmScNNUVERIiIisGTJEpP2T0lJwbBhw9C/f38kJydj5syZeOaZZ7BhwwYrV0pERESmEAQBThJfF5L07aOiohAVFWXy/l9++SVCQkLw8ccfAwDCw8Oxfft2LFq0CEOGDLFWmURERNSANKgxN7t27cLAgQOrrBsyZAhmzpx512O0Wi202puzNObn5wMAdDoddLrqkx7dTeW+5hxDtcf2ti22t22xvW2L7W1b1mpvc87XoMJNZmYmfHx8qqzz8fFBfn4+SkpK4OhY/UmpCxYswLx586qt37hxI5ycnMyuIT4+3uxjqPbY3rbF9rYttrdtsb1ty9LtXVxcbPK+DSrc1MbcuXMxa9Ys43J+fj4CAwMxePBgaDQak8+j0+kQHx+PQYMGQSnVvW2NCNvbttjetsX2ti22t21Zq70rr7yYokGFG19fX1y5cqXKuitXrkCj0dyx1wYAVCoVVCpVtfVKpbJWjV7b46h22N62xfa2Lba3bbG9bcvS7W3OuRrU88x79OiBzZs3V1kXHx+PHj16SFQRERER1TeShpvCwkIkJycjOTkZQMWt3snJyUhLSwNQcUnp6aefNu4/depUnD9/Hq+++ipOnjyJzz//HD///DNefvllKconIiKiekjScJOUlIROnTqhU6dOAIBZs2ahU6dOeOONNwAAGRkZxqADACEhIfjjjz8QHx+PiIgIfPzxx1i2bBlvAyciIiIjScfcREZGQhTFu26/0+zDkZGROHjwoBWrIiIiooasQY25ISIiIroXhhsiIiKyKww3REREZFcYboiIiMiuNKhJ/CyhcgCzOTMdAhUzLhYXFyM/P5+TQNkA29u22N62xfa2Lba3bVmrvSt/b9d0I1KlRhduCgoKAACBgYESV0JERETmKigogKura437CKIpEciOGAwGXL58GS4uLhAEweTjKp9JlZ6ebtYzqah22N62xfa2Lba3bbG9bcta7S2KIgoKCuDv7w+ZrOZRNY2u50YmkyEgIKDWx2s0Gv7lsCG2t22xvW2L7W1bbG/bskZ736vHphIHFBMREZFdYbghIiIiu8JwYyKVSoU333wTKpVK6lIaBba3bbG9bYvtbVtsb9uqD+3d6AYUExERkX1jzw0RERHZFYYbIiIisisMN0RERGRXGG6IiIjIrjDcmGDJkiUIDg6GWq1G9+7dsXfvXqlLshuJiYkYPnw4/P39IQgCVq9eXWW7KIp444034OfnB0dHRwwcOBBnzpyRptgGbsGCBbj//vvh4uICb29vjBo1CqdOnaqyT2lpKaZNm4amTZvC2dkZY8aMwZUrVySquGH74osv0LFjR+NEZj169MCff/5p3M62tq733nsPgiBg5syZxnVsc8uJiYmBIAhVXm3atDFul7qtGW7u4aeffsKsWbPw5ptv4sCBA4iIiMCQIUOQlZUldWl2oaioCBEREViyZMkdt3/wwQdYvHgxvvzyS+zZswdNmjTBkCFDUFpaauNKG76tW7di2rRp2L17N+Lj46HT6TB48GAUFRUZ93n55Zexbt06/PLLL9i6dSsuX76MRx55RMKqG66AgAC899572L9/P5KSkvDggw9i5MiROHbsGAC2tTXt27cPX331FTp27FhlPdvcstq1a4eMjAzja/v27cZtkre1SDXq1q2bOG3aNOOyXq8X/f39xQULFkhYlX0CIMbFxRmXDQaD6OvrK3744YfGdbm5uaJKpRJXrlwpQYX2JSsrSwQgbt26VRTFirZVKpXiL7/8YtznxIkTIgBx165dUpVpV9zd3cVly5axra2ooKBADAsLE+Pj48V+/fqJM2bMEEWRP9+W9uabb4oRERF33FYf2po9NzUoKyvD/v37MXDgQOM6mUyGgQMHYteuXRJW1jikpKQgMzOzSvu7urqie/fubH8LyMvLAwB4eHgAAPbv3w+dTlelvdu0aYOgoCC2dx3p9Xr8+OOPKCoqQo8ePdjWVjRt2jQMGzasStsC/Pm2hjNnzsDf3x8tWrTAhAkTkJaWBqB+tHWje3CmOXJycqDX6+Hj41NlvY+PD06ePClRVY1HZmYmANyx/Su3Ue0YDAbMnDkTvXr1Qvv27QFUtLeDgwPc3Nyq7Mv2rr0jR46gR48eKC0thbOzM+Li4tC2bVskJyezra3gxx9/xIEDB7Bv375q2/jzbVndu3dHbGwsWrdujYyMDMybNw99+vTB0aNH60VbM9wQNULTpk3D0aNHq1wjJ8tr3bo1kpOTkZeXh19//RXR0dHYunWr1GXZpfT0dMyYMQPx8fFQq9VSl2P3oqKijN937NgR3bt3R/PmzfHzzz/D0dFRwsoq8LJUDTw9PSGXy6uN8L5y5Qp8fX0lqqrxqGxjtr9lvfjii/j999/x999/IyAgwLje19cXZWVlyM3NrbI/27v2HBwcEBoaii5dumDBggWIiIjAp59+yra2gv379yMrKwudO3eGQqGAQqHA1q1bsXjxYigUCvj4+LDNrcjNzQ2tWrXC2bNn68XPN8NNDRwcHNClSxds3rzZuM5gMGDz5s3o0aOHhJU1DiEhIfD19a3S/vn5+dizZw/bvxZEUcSLL76IuLg4bNmyBSEhIVW2d+nSBUqlskp7nzp1CmlpaWxvCzEYDNBqtWxrKxgwYACOHDmC5ORk46tr166YMGGC8Xu2ufUUFhbi3Llz8PPzqx8/3zYZttyA/fjjj6JKpRJjY2PF48ePi88995zo5uYmZmZmSl2aXSgoKBAPHjwoHjx4UAQgLly4UDx48KCYmpoqiqIovvfee6Kbm5u4Zs0a8fDhw+LIkSPFkJAQsaSkROLKG57nn39edHV1FRMSEsSMjAzjq7i42LjP1KlTxaCgIHHLli1iUlKS2KNHD7FHjx4SVt1wzZkzR9y6dauYkpIiHj58WJwzZ44oCIK4ceNGURTZ1rZw691Sosg2t6TZs2eLCQkJYkpKirhjxw5x4MCBoqenp5iVlSWKovRtzXBjgv/85z9iUFCQ6ODgIHbr1k3cvXu31CXZjb///lsEUO0VHR0timLF7eCvv/666OPjI6pUKnHAgAHiqVOnpC26gbpTOwMQly9fbtynpKREfOGFF0R3d3fRyclJHD16tJiRkSFd0Q3Y5MmTxebNm4sODg6il5eXOGDAAGOwEUW2tS3cHm7Y5pbz2GOPiX5+fqKDg4PYrFkz8bHHHhPPnj1r3C51WwuiKIq26SMiIiIisj6OuSEiIiK7wnBDREREdoXhhoiIiOwKww0RERHZFYYbIiIisisMN0RERGRXGG6IiIjIrjDcEBEBEAQBq1evlroMIrIAhhsiktzEiRMhCEK110MPPSR1aUTUACmkLoCICAAeeughLF++vMo6lUolUTVE1JCx54aI6gWVSgVfX98qL3d3dwAVl4y++OILREVFwdHRES1atMCvv/5a5fgjR47gwQcfhKOjI5o2bYrnnnsOhYWFVfb55ptv0K5dO6hUKvj5+eHFF1+ssj0nJwejR4+Gk5MTwsLCsHbtWut+aCKyCoYbImoQXn/9dYwZMwaHDh3ChAkT8Pjjj+PEiRMAgKKiIgwZMgTu7u7Yt28ffvnlF2zatKlKePniiy8wbdo0PPfcczhy5AjWrl2L0NDQKu8xb948jBs3DocPH8bQoUMxYcIEXLt2zaafk4gswGaP6CQiuovo6GhRLpeLTZo0qfJ65513RFGseKL51KlTqxzTvXt38fnnnxdFURSXLl0quru7i4WFhcbtf/zxhyiTycTMzExRFEXR399f/Pe//33XGgCIr732mnG5sLBQBCD++eefFvucRGQbHHNDRPVC//798cUXX1RZ5+HhYfy+R48eVbb16NEDycnJAIATJ04gIiICTZo0MW7v1asXDAYDTp06BUEQcPnyZQwYMKDGGjp27Gj8vkmTJtBoNMjKyqrtRyIiiTDcEFG90KRJk2qXiSzF0dHRpP2USmWVZUEQYDAYrFESEVkRx9wQUYOwe/fuasvh4eEAgPDwcBw6dAhFRUXG7Tt27IBMJkPr1q3h4uKC4OBgbN682aY1E5E02HNDRPWCVqtFZmZmlXUKhQKenp4AgF9++QVdu3ZF79698cMPP2Dv3r3473//CwCYMGEC3nzzTURHRyMmJgbZ2dl46aWX8NRTT8HHxwcAEBMTg6lTp8Lb2xtRUVEoKCjAjh078NJLL9n2gxKR1THcEFG98Ndff8HPz6/KutatW+PkyZMAKu5k+vHHH/HCCy/Az88PK1euRNu2bQEATk5O2LBhA2bMmIH7778fTk5OGDNmDBYuXGg8V3R0NEpLS7Fo0SK88sor8PT0xNixY233AYnIZgRRFEWpiyAiqokgCIiLi8OoUaOkLoWIGgCOuSEiIiK7wnBDREREdoVjboio3uPVcyIyB3tuiIiIyK4w3BAREZFdYbghIiIiu8JwQ0RERHaF4YaIiIjsCsMNERER2RWGGyIiIrIrDDdERERkVxhuiIiIyK78P84tM7o/ZM5IAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Final Metrics Summary (Last Epoch):\n",
      "Train Box Loss: 1.0790\n",
      "Train Class Loss: 0.4769\n",
      "Train DFL Loss: 1.0073\n",
      "Validation Box Loss: 1.2765\n",
      "Validation Class Loss: 0.5524\n",
      "Validation DFL Loss: 1.0801\n",
      "Precision (B): 0.9084\n",
      "Recall (B): 0.8716\n",
      "mAP@0.5 (B): 0.9237\n",
      "mAP@0.5:0.95 (B): 0.5866\n",
      "\n",
      "Improvement Trends:\n",
      "Train Box Loss: improved (Initial: 1.7447, Final: 1.0790)\n",
      "Train Class Loss: improved (Initial: 2.0659, Final: 0.4769)\n",
      "Train DFL Loss: improved (Initial: 1.5048, Final: 1.0073)\n",
      "Validation Box Loss: improved (Initial: 1.6111, Final: 1.2765)\n",
      "Validation Class Loss: improved (Initial: 1.2486, Final: 0.5524)\n",
      "Validation DFL Loss: improved (Initial: 1.3427, Final: 1.0801)\n",
      "Precision (B): worsened (Initial: 0.5758, Final: 0.9084)\n",
      "Recall (B): worsened (Initial: 0.6042, Final: 0.8716)\n",
      "mAP@0.5 (B): worsened (Initial: 0.6055, Final: 0.9237)\n",
      "mAP@0.5:0.95 (B): worsened (Initial: 0.2932, Final: 0.5866)\n"
     ]
    }
   ],
   "source": [
    "\n",
    "try:\n",
    "    result_metrics = pd.read_csv(results_csv_path)\n",
    "except FileNotFoundError:\n",
    "    print(f\"File not found: {results_csv_path}\")\n",
    "    exit()\n",
    "\n",
    "\n",
    "metrics = {\n",
    "    \"Train Box Loss\": \"train/box_loss\",\n",
    "    \"Train Class Loss\": \"train/cls_loss\",\n",
    "    \"Train DFL Loss\": \"train/dfl_loss\",\n",
    "    \"Validation Box Loss\": \"val/box_loss\",\n",
    "    \"Validation Class Loss\": \"val/cls_loss\",\n",
    "    \"Validation DFL Loss\": \"val/dfl_loss\",\n",
    "    \"Precision (B)\": \"metrics/precision(B)\",\n",
    "    \"Recall (B)\": \"metrics/recall(B)\",\n",
    "    \"mAP@0.5 (B)\": \"metrics/mAP50(B)\",\n",
    "    \"mAP@0.5:0.95 (B)\": \"metrics/mAP50-95(B)\",\n",
    "}\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "available_metrics = {name: col for name, col in metrics.items() if col in result_metrics.columns}\n",
    "missing_metrics = [name for name in metrics if name not in available_metrics]\n",
    "\n",
    "if missing_metrics:\n",
    "    print(f\"Missing metrics: {', '.join(missing_metrics)}\")\n",
    "else:\n",
    "    print(\"All expected metrics are present.\")\n",
    "\n",
    "for metric_name, col in available_metrics.items():\n",
    "    plt.figure()\n",
    "    plt.plot(result_metrics[\"epoch\"], result_metrics[col], label=metric_name)\n",
    "    plt.title(metric_name)\n",
    "    plt.xlabel(\"Epoch\")\n",
    "    plt.ylabel(metric_name)\n",
    "    plt.legend()\n",
    "    plt.grid()\n",
    "    plt.show()\n",
    "\n",
    "final_epoch = result_metrics.iloc[-1]\n",
    "final_metrics = {name: final_epoch[col] for name, col in available_metrics.items()}\n",
    "\n",
    "print(\"\\nFinal Metrics Summary (Last Epoch):\")\n",
    "for name, value in final_metrics.items():\n",
    "    print(f\"{name}: {value:.4f}\")\n",
    "\n",
    "print(\"\\nImprovement Trends:\")\n",
    "for metric_name, col in available_metrics.items():\n",
    "    initial = result_metrics[col].iloc[0]\n",
    "    final = result_metrics[col].iloc[-1]\n",
    "    trend = \"improved\" if final < initial else \"worsened\"\n",
    "    print(f\"{metric_name}: {trend} (Initial: {initial:.4f}, Final: {final:.4f})\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cd2fb43f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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KakvBXQKaGawOUDpU5sD2+cZjbJHgd0N1AVjsRsXvdRmPC/jAYgNrBDiiITIFErtBfBeIagsmC+gBQPs1MMA3G4vILnNz7UkdqfO7eXTJozw69HG0QAQ/LYVp0+CH76GyEjQNkpIgKgqcToiJgdhYSEyEg5lxuXbtUw0W4RLiWNVkYSAYDJKVlUVxcTE7d+5k165dJCUl8dprr3HttdcyYsQI/u///o+BAwcyY8YMTjvttNBz6xehAWPKWf1obyHEMUgpdKVQnmpMnnJUVSG1xYWU5rvZnWNmx4qdlJVp1AYc+FQEAd2ECgTQ487AZA/HjgtnpInI9I44w/04w7w445w4I82ExUQSZvFiUy7CVAXOYB7heavxrptOsRnadz4LU+E6tNpy6DEG1fl0it1BOsSFYTFbqV3xIyU/B3j9J52vv7GzYgXU1YGGTttknauvtXDNNUYIsFjAagWz2QgJB+Pxx4/ujpZCHKomCwOBQICffvqJbt26UVdXx4YNG0hOTqZt27ZYLBb69+/PhAkTmDFjBsOGDWP06NHS7yZEc6EUBLyoqt2QvYSK7K1sW5XH6q3p/Li9L2vzu5JXnUy1Nwp/0ILabxP/79eVMP6ZTMY/s9mooC2WFGw2iIlRZGRAYsds1gZeZ8zPH3FSmySiT7icqEWzqJ29lqXFYwlkFfBOIJbVa0eQXXA6AX8YoLCa/Azs4WLiqSs5d4xO+hkjOYzdvA+bDJoW+3Ik6sImCwN2u53Jkyfvdfvll18e+nnkyJGMHDkSkAGCQjQbXhdq3Qzq1i9g4xYbX204ka9WX8Tm4k7UeCNCFb9mUmi2OqyxpVjC3djtGlEOBx69hghbOKmRKZgwU17jZldZMR6PhvLb0QIOggEzwaCFYMCO16eh68apCws1Nm8G6AA8x1qbF3usG4vDjFY9GL8LPAE7SnXDCBoKszVIhww4cRhcNGInw3mOKLsLrd2EJt/KTSlFRUUFXq+3aQsijgkWi4WYmJgjMij1mBoz8HsSAIRoBn799qr8dajiTeQtnM8XMxUfbXqCVTtSqamrX0VSI6Ut9O2rGDQ4SNsuJfhjtxCf5KdtbAyJEbEkhEfg9iuctgii7WY0wBOwsqG4htWF63HVecmM6cMXW+axoSCbXpEjGBo/ihV5G1m+azvekrbsznJSs6s7ptpwaqvt1BUZSzprGthsGm3aQFoadOwIfQZ4WBf+Ji9edC0piWGYTF3Ryh6EGdeAI66pXlHACALV1dUEg8F9rr4pWh+Px0NpaekRGZB6TIcBIcSxRymFN6BT7vZhNWtEqhosK99l25KNvPvtcby/4jJyqlNRSkMzB2nboZZzRjo452wYOFAjMREsFjOQ/Ou/3wf/mAbns1rtDG7fm8Hte4duO71XL0rqSnh/0/vsCPyNPNN6Xjj/LrrH9WJ7cTVfLi9g3c5a/KWRpLs7s7z4J8YN78zwgUm0a2cMArTbwR0I8OiSncQnKIz9uTSI7wQTZ4Dtz+9h0dh8Ph8REREyJkoARsvAnjPrGvXYjXo0IUSLopTCF9BR/NpXr2nU+oK89PUmysorSC39hV55O/hy6VBmbnqOkhrj27Q10kVM7+WMPL+c+y8+ie7twjFp2q8D7/78N9zffyu2W+ykOlO5fcDtfLD5A05pdwrHpwzCYrIQlx7JwPZt8fiD+IOKSLvGJ1k5WEwFHN9l7B9/w9Y0CI//02U8Uo5mi4Df70fTtNCeIPsjS8W3PBIGhBD7pJSiss7Pw5+vJ6grTJqGSQO/u4IhuZ/QuySF/yw4kak7b6TGF4GmQXxyHUlDvyP11Hmcf0IPrup7JWHmsCNSYWiaRpgljMk9J4f+fz2TphFu++3jrW9SX95e9zajMkYRYY347RpRaL/+T8Bnn32G3W7n/PPPP+DjioqK+P7777nwwguPTsHEESdhQAixF6UUhdUe3vphJ/3bxXDhgLYEPTUU/vI9n33j59VvrmdtYU/8QStms0aPTEXvM9fg7TONEb07cn6XO2gf1T60kM+RdDBBo1N0J9pHtWfuzrmM3bN1QAbrN1BZWUlNTQ3vv/8+UVFRjBw5Eo/HwzfffENZWRn9+/dnwIAB/PDDD/zrX/9C0zRGjBhBQkJCUxddHCYJA0KIEKUUu8pq+d+qPDYXVnNGuoWzzT/i+mgDHy3uyz/nnsTm4gx0ZSIsTGPYSXD11YpOJ2zlnZ3/ZHKvyQxsMxCL6dj6aLGYLIzrMo4Xlr/A6IzROKy/7tL4axpoDi0Ddf4gJS7vYU031DSNRKcdh23//c2LFy/m1ltvZcaMGVgsFvr06YPZbKZz58787W9/48EHHwxt9x0WFhZaDE40b8fWX6wQokm5vUH+sXA7XeItTO1VQOCHj3hz6Qn8c9EdbC5IQ1cmoqI0Ro+Ga65R9B/kYWnpAj7Inst1fa6jf1L/Y7IPWdM0ksKTCLeEU1hbSEZ0xu8e0DTl+jNyymt58/ud6IcRBkwaXHViBt2To/b7mLPOOovTTjuNmpoaNm/ezJAhQygtLWXVqlWUlZWxadMmevToQXp6OqNHj5Yw0EJIGBBCAEarwLwNBZhrChhR+SNv/S+Mt1c8RVZJOroOUVEa554Lt9wCAwYoCupyeHb1a8SFxfHA8Q+QEpFyTAaBeibNxIA2A/hy+5dc1+c6wixhv2101gzSQJckJ1PH9v7jB/4B0x9cqsPhCA0i1HWd9957D7fbzcSJE/F6vaHllWVBpJZFwoAQrUydL0hRtQeTScPy6z8HHmzZiymfuZqqJRmcseIadlWmoTARFQVjxsCtt8KAAWCxKNaVruONtW8wrus4Tkw9EbNmPqaDABitA2d1OIu3N7zN31b+jdsH3G4MIDzGy11P0zTMR7iov38t6pd+Ly8vZ8OGDSxfvpz+/fsTHR1NSUkJn376Kaeddhrx8cfO7AtxaCQMCNFKKKUoqfEya00BP2wrJdYOevFmEmp30L2ymB9/6M2Ha6+joKYNAPHxGhdcANddB/36gdmiU1BTwKLcRSwrXMZN/W6ie1z3ZlOZAoRZwriuz3X8Y/U/mLNzDiennSyzCfYwcuTIULP/oEGD6NGjB8nJycyfPx9d13nppZdISEggJSWFp59+mpycHOkmaCEkDAjRStT6gtz98RqsWpCHBvhpl/05WTW1vDH/JF5ddgNF7iRAo21buOQSuPpq6NYNzGZFbaCWzzd9zs+FP9M/qT8PD3mYWHtsswoC8Os3Xc3K+Z3P5x9r/sHQtkMlCOwhPT099HObNm1o08YIhuedd95ej+3Zsyc9e/Y8amUTR5aEASFaELc3wI5SN/ERNuwWE2aTZqwPYNIoq6ymr2cZ10auZONHDp5dei6frx1BSYUN0GjXDq64Aq66Cjp0AE1T6OisLlnLfzf+l04xnXhy2JNE2aKaXQj4vQRHAt6Al9pArTF4sHlfjhCHTcKAEC2EUorvt5bw3592ExdhI6grlFKYfC6Or1lAJ1cOMRuSuXTDzfywrTeuWmOzk/btfwsB6em/hgClk1WxlTk755DjyuG6PtfRNbar0aDezIMAgM1sw2q2UuOvkW4CIZAwIMQx72CXfnV5AizKKuHmUzozqEMsek0xnhX/Y/XiHP63oDOPbbyOXeUp6MqM2Qw9esCVV8L48cbGPSaTca7SulLe2fgOJbUlnNb+NK7tfS0R1ogWEQLqmTQT4dZwqr3VEgSEQMKAEMeUPSt+X0Ant7KOVbsrqaz1EW4zY7eYsVpMWM3GLACzyWTMCDBrfLOxiDCLib4p4ZStXMbX723kv7O7szRnIjW+CEAjOhqGDoUJE+DMMyE+3liKXylFlbeaBbsX8F3Od5za/lRu7nfzEVtKuKlpaETZoqjyVqFp0jJQT/91L+g/GhSolNHqpGkto6VISBgQ4pihlOLzVXmsza0iwm4hu8yNzWyiT7sYUmMc1PqCeANBXN4A/qBOUFcE/D6CtVX4q0sIFLsY6GjL/ZN0vlqYzq7S4wgqExaLRvfuMG4cXHwxdO8OViuAwq/72VW9i+9zv2dt6Voy4zOZMngKSeFJLf5DPsoWRYW3QoLAHmbPno3NZuPMM8884OMKCgr48MMP+ctf/nJI75MtW7bg9/vp2bNni3+fNRcSBoQ4RpTUeJmzvpDJwzrgC+hcNrg9SZF2zKZfv30pBSoIHhfKXYK+ewUly75n2Vonc9b0Z+G243mhrB3eoDEgMDoaTjwRJk6E004zWgEMRgj4Pu975mXPw6SZOK7NcUwZPIUEh7HGfEv/gNY0jWh7NEW1RfLtdg95eXkEg0FsNhtOp5P+/ftjMpnIzc1lw4YNpKamkpmZSV1dHZs2bUIpxdatW9E0jW3bttG3b1+8Xi+bN2+mf//+JCUloes6mzZtIicnh169epGSksJnn31GRUUFl156Kb1798ZqpFPRhCQMCNHE6rsGZq8rZFjnBE7oGN+wclIKFQxA7jL8y6eTv62C79emMnvdYJbkTCG/ug0B3QxohIVBn55w3nkwdixkZv7WCgBQ6a1kzs45rC9dT5gljKt7X03H6I7NYtGgxpboSGRNyZqmLsbBC/rB5z7849giwLz/ynf27Nk4nU7mzZvHddddR0JCAlOnTuX0009n5syZnHvuuXTt2tUoUjDIvffeS48ePUhNTeX//u//GD58OBEREXz88cf885//ZObMmSxatIhBgwbx4IMP8sgjj1BYWEhxcTEbNmwgMzNTwsAxQMKAEE1IKUWtL8h/lmTz884yXriw72+tAHoA5S7FvXs7Gxdt5ts5Lr7beSVrCnpQWhmGroxvtE4n9OwJZ5wBI0dC794QGRk6A+6Am5VFK9lasZW1JWs5Lvk4JvWaRHpUOjaTrdWFgHrpUensrt5NqjO1eXQVlGbB9y+BHjz0Y2gmOPEOSOmz34eMHDmSiRMn4nQ6WbVqFTU1NXTp0oVOnTqhlGLmzJncfffdocdbrVYmT55M+/bt+frrr7n00ktJTk7miiuuoKysjA8//JCLL76Y1NRU1q1bx9KlSznuuOOoqalhwoQJrfb9d6yRMCDEUVbfElDrC7Ioq4Qv1+TTtU0kT5/Xi6QwHVW+g7pNP7L++2xmfd+e2WsHsqnoMmr9DkBD04wm/4ED4ayz4JRToHNncDh+GwyoK53SulIW5ixkacFS2kW2IzM+k9EdR5McniwfwBhrDdQGavEFfU1dlIOT2B3O+/vhH8dsO+DdUVHGOhI2m41AIEBtbS0ul4sNGzYAxgJEe75/rFZraD+D8PDw0E6GJpOJQCBAXV0du3btorKyks6dO9OvXz/WrGlGLTKthIQBIY4ipRQ5FXV8sTqPdXlVpMeFc+eIVDr4tmFa+RG71mTzxdIufLJiBKvyx+L2hwMaNht06QJDhhj9/0OHQvv2RhdA/eeyUgpvwMem8k3MzZ5LcW0xA5IG8ODgB0lwJLSYNQIai8PiINGRiI7e1EU5OCYzmBxH/bRnnnkmH3/8MYMGDSIQCGCzHThM7Mlms3HGGWcQDAYZNmwYZWVlxMfHk5CQwE8//cTKlSvp06ePdBMcAyQMCHEU1HcHlLi8PP7lBs7plcQlg7zE7Z6Fb/5Wft4Yx3vLzmbWmlsoqIhGYcJiMQLAmWfCuecaLQExMcZ6AA2HFCi8QS+rilfx1Y6vsJqtnNruVI5LPq7FTg1sDCbNRLQ9Gr/ub+qiHDOGDh2K2WwGjOWG27ZtS9++fTGbzXz77behmQYJCQlceumlmM1mJk6cSHR0NGazmSuvvJKoqCgsFgtXXnklkZGR3HDDDcyePZtZs2aRkJBAz549GT58OLW1tWzatImePXtKGDgGSBgQ4ghQSpFbUYcvqGMzKZbvKGbB8vUkVa/nImcZo3bXUFYSYHrBpUybcz0/rUuk1mMM4ktMMr79X3opDBsGsbFG5f/7Or0+BMzfPZ9FOYtIcCRwTsdzGJg8EItmkRBwEKLt0ZR7ypu6GMeM3r1/2yI5IyODjIwMAIYNG8awYcNC92maxmmnnQbAqFGjQrefddZZoZ9Hjx4d+nns2LENngswbty4Ri69OBwSBoQ4DEopFFDi8rJyVwU13gB2iwl/IMjsH5bRq/ZnhoXtpIvJz/BYJ87uA9lWNYDH53fmo7lpbMsOIxjUsFigTx9jNcBx4yAjA8zmfQeAoAqS68plWdEyVhatpE14G27qdxPtI9tj0kwSAv6EGHsMld7Kpi7GMe9w31Pynjz2SRgQ4iDtuTqgJ6BTWOVhU0E1v+wsp6i6jp4xQeKrN+DLX0u0r4BnEnWShp2F6nANFZ54flzu5P1/2Zg/H8rKjA/HyEgYPhwmTzYGAsbEGMf//WenrnTya/JZVriMXwp/IaAHGJQ8iCsyr6BrbFcJAYcoOSKZ3dW7m7oYQjQ5CQNCHISgrliwuYifdpSjK0VRVS12fxXdgtsYbdpGzxg/4a4StKRuqP6nQ3Q7XNaOfL/JycxnNWbPhu3bwe83Kvp27eCCC4xlgfv0AZtt360AZZ4yVhatZEXRCopri+mX1I+re19Nu8h2rXpaYGPQNI2usV3ZVrmtqYsiRJOTMCDEAdS3BizLLueLFdlM6A72im2k2VcQYy7GnNQd0s+CiESIbEtlIJ61a2H2Oxpz58KWLeDxGMeKiIDBg42ugHPPhbZt9z8WwKf7mL9rPvOy59EroRcjO4yke1x3HBZjNLmEgMbRLbYbGdEZTV2MZq/+7+Rg3pd/5rHi6JEwIFqt+g+lgK6o8wXxB3UsJg2TScPnD1Je7aKgtJzI4hWUb1vD3aZdtM+JREvoBp3PR6UOQFmdVFbCihUas2bBt9/Ctm3g9RrnsNuNRYDOPhvOP9/4uX49gN+XRWHsGPhzwc8syV9CjD2GKSdMIdGRKB+cR4jZZMbRBNP1Whqv18u0adOYPHkyYWFhB3zsihUrcLlcnHLKKX/6PEopNmzYQLt27YiOjj7U4op9kDAgWhWlFMUuL1sKXewsdbOrzE1pjQ9/UMds0tD9HmIqNzAwsIqe1nw62a0kpnWi3/ChkHwDRKehaxbKymDZt78FgOxs8P26dk1YGPTqZawIeO650L8/REUZ9/1+SiBAhbeCbZXb+LngZ7ZVbKNfUj8m9ZxEp5hOrXKZYNF0XC4Xfr+foqIiwsPDadeuHZqmUV5eTk5ODikpKSQl7b2Jld/vZ/78+YwaNQqXy0XHjh2JiIgACC09nJ6eTnR0NNnZ2RQVFXHSSSdRXl6Oz+ejqqqKzp07U1xcjMvlokuXLlitVgKBALt27cLj8dCpUycAXnrpJS666CIGDhy4z7KIQyNhQLQaSikqan089Pl6uiVH0inRyZg+KSRHQLQ7G0vOUvScX7CkR2LOGI7W+TSwRaAsdpTSqKzUWDYfPv8cvvkGdu82xgAAhIcbAWDUKGNVwN699x0A9ixLaV0p3+z6hp8LfiY9Kp3+Sf25MvNKIm2R8gEn9qIrnYAeOOzjWEwWTNq+tyj+9NNP+eqrrxg8eDDLli3jvvvuIyoqikceeYQ+ffqwZs0a7rvvPvr167fXe7SsrIw33ngDs9mMy+XihRdeYPHixXzwwQd06dKFrKwsnnnmmdDjS0pKuPzyyxkxYgT5+fmYTCZSU1PZtWsXgwcPZtKkSbz++uvs3LmTyMhI/H4/119/PZs3b2bmzJlUVlYyfvz4w349hEHCgGix9hz9X+zysjirhKyCcoalmrlyoAMt92fYvBIqd4HNCe1PgJGPQnQ7lMmKAlwuWL0aZs6EOXOMQYD1LQAREca3/voA0LMnOJ37rvz3LE+Vr4pvsr/hh7wfGNBmAA+d8JCxQqAEAHEA2yu38+a6N9HVoa+YaNJMTO41me5x3fd5v8/nY/Dgwdx99918/PHHLF26FLfbzejRo5kwYQJz587lgw8+oF+/fns91+FwcOuttxIbG8vkyZMpLy9n2rRpTJw4kc6dO/Puu++yYMGC0AqGSikcDgd33nknhYWF3HLLLbz44ovs3r2b559/nrPOOot58+YxdepU7HY7Dz/8MF6vlwEDBnDttdfuswzi0EkYEM2aUgqlwBvUqfEY35ocNjOBoE5WbjGbN60nxZdNrHsb5ORzqt1N/7ZOmG+HNr2g60hI7AaOWDBZUGjU1sK6dfDll/DVVw0HAToccNxxcM45xjiAHj2MVgHYfwgA41vd7urdfJ39NZvKN9EzviePDnmU2LDYX58rQUAcWIeoDtx3/H31G1AeGg2cVucBH5KYaIxRiYiIIDc3l4qKCvr37w9AUlIS1dXVKKX2es+Gh4fjdDoxm82YzWZ8Ph8lJSXMnz+fn376iWAwSFpaGsXFxaHnREVFYbfbsdvtxMfHY7PZsNvtBAIB3G43xcXFfPrpp5hMJrp06UJ4/R+baHQSBkSzU9/vv3R7GdllbvIr66ip82HyVeN07aCXKZsYXLTx7mJsu0QcbXuitR3NQEcsWmQSOOLAZDXWetc0lDK+7W/ZYlT+n38O69dDba1xvvpBgKNHG2MA+vQxWgX+qP7ec0zAjKwZbCrfxKntTuXS7pcSZYuSACD+FKvZSpw57oif5/fvy0GDBjFnzhwyMzP58ssvGThw4EG9d202G8OGDaNDhw6ceeaZVFVVER8f3yAMHEibNm3IzMxk5MiRdOrUiZKSEhITE4mMjGTLli37Hb8gDo2EAdGs6EpRVuPluTkb6Rxnp39skHPMa4kv+pEIswtzShqmtv3BmQQx7dHiMoxtW6FB7a2U0d+/c6fR//+//8Hy5VBdbdxvtUL37saWwOedBwMGHHgMwJ6UUniCHlYVr2JJ3hJyanIYkjKEJ4Y+QYQ1Qj68xDGrd+/eWCxGtZCRkUFERARDhgyhqqqKv/3tb3To0IHLL798r/ewzWbj7LPPxmq1YjKZGDlyJOHh4dx2223897//5eWXXyYqKopJkybRuXNn2rRpQ0REBKNGjcJkMuF0Ohk5ciSaphEVFcWZZ56J0+nk4YcfZvr06cycOZP27dvTqVMnrr76aj755BOUUlxyySVN8TK1SJras2O1GXrzzTfJzMxk6NChTV0U0Zjq35Z6AAJelLcav6uM7I2/sHXjahz+coanmTCjQ0pf6DIS4juCLQLYx+R9fgsA2dkwf77RDfDLL1BRYdxnNkNamjELYOxYOP74/e8LsO8iG3sFfJ/7PXOz55IYnsgp7U6hW2w3ou3REgJaoccee4yrrrqK9u3b/+nnKqUoKSnB6XQ2efO40R1ndA3ouk5ubi6BwG+DGePj44mO3vd7fM/nwp/vEtvz+a39b0jXdfLz80lJSQltKNVYpGVAHDuUAhT43FC0AbV1PlX5WVTX1FDp1YiJi6dj5350OecCiEhCcyYZA/+sv84T/4MA8O238MUXDQOAyQTJyXDSScaeACefDElJBx8AjHMoXD4Xq4pXGSHAkcjN/W4mPTodE7JMsGj+9qyIvV4vM2fOpKKiInT/qFGjOP744//wuYd7bnHkSBgQTas+ANSWQ8Ea2DYfVZUDzmQqUkdw17pM4hMSuWxUd5JSYzBb/3g3vn0FgGXLoLy8YQAYNszoAjj5ZGM1wH1tDLT/cxgbBu2q3sUPeT+wqngVGdEZTOgxge5x3WWvANFi1Tf/i5ZFwoA4upSCoB8CdeAuhdItsP07qM5HJXTB3+lMNpPBol1edm/10DbdxOPn9sRsOvC3g/pBgDt3/tYFsHz53i0AhxMAwJgVUOmtJKsii2+yv8EdcHNCyglMGTyFBEcCIDMDhBDNj4QBceQpZfT9l26FHd9B7nLQ/WCLhOg06DUOldQDn9nJi/OyqKqr4tTubRjaJYmkSPt+g0B9C8D27TBvnhEAVq6Eysq9A8C55xq7Ax5KAKhfKrjQXciMrBlsr9pOmjON0R1H0yuhl2wYJIRo9iQMiCNDKQh6oaYYcn6Bbd+CCkLGcNRpj6AikgiabORV+dhS6AJXHYu27CbCbubJ83thM++7mV0pCAR+GwQ4c6YxBmDPAJCS8lsAONQWgN/OZ4SAz7Z+RlZFFqe2P5VJvSaF5mpLCBAtXU5ODna7nYiICHJycujWrdsB3/e7d+/G4XCQmJh4VMqnlMLv91NZWYndbt/nngXBYDA06LF9+/ZYrVZjRdKKCoqKikhLS8PpdP7h37PP50PX9b32X1BK4XK5yMvLIzk5mZiYmAbHqj9XYWEhbdu2DQ22rB8kWlJSQps2bYiPjwegtraWnJwcwsLCaNeuXaMPFtwXCQPi8CkFSgd/LbiKjL7/vOVQnW/M5U/uDYOvh6QeKLONX3aWM2PBNnwBHaWgW3IkuoLz+rWlf/tYrGbtd39Ixr/CQiMAzJgBS5ZAWdlvAaBtW2MQ4LnnwoknGoHgUAOAcU5FpbeSr3Z8xfKi5ZzW/jSu7HmlTA0ULVb9xDK/34+maVgsxvicmTNnkpqaSmZmJq+++iqvvfbaXs/b8zmfffYZnTp14pxzzkHXdQKBAFarNfR3U/94i8WCyWQKnRMIPa7+MWazOfSY3z+v/ni6rvPSSy+xcOFCTjjhBB5//PG9yjd9+nQWL16Mw+GgXbt23HHHHWzfvp3HH3+cTp06kZuby/PPP09CQkKD5wUCAZRSWK1WABYsWEBubi5XXXVVg4GNRUVF3H///aSnp7N9+3aeeuopOnToEDrWxo0beeqpp+jRowc7duzgscceIz09na+//prPP/+c9PR0EhMTueqqqygoKOCpp56ibdu2aJrGDTfc0KBcR4qEAXFo9vzmX7QRNs4EX40xtS8pE3qcC3EdITwWfl3aF6Co2sPbP+7kyiEdaBvjoG2MA6v5t8r19yGgrg5WrIDp040FgXJzQdeNANCmjVHxn3++0QWQkmLcfjh1df30wMW5i5m9czYDkgbw6JBHibHHSAgQTaa6Gr77DoLBwz9WRASccgr8uipwA7Nnz2bevHn4fD7OOeccRo8eja7roel9ut5wKWS/38/777/PL7/8gt1u56abbgo9tqKigpdffpmqqiqioqK4++67MZlMPP/881RXVxMdHc0999zDN998w4IFC7BYLFxyySUMGjSI//znP6xduxabzcYtt9xCfHx8g+fde++9RP268IfJZOLWW28lMzOTH3/8ca9rcrvdfPLJJ/zzn/8kMjKSiRMnMn78eD744APOO+88LrzwQqZOncrXX3/N5ZdfHnresmXLmD59Ol6vl+OPP55LL72UGTNmsHnzZrKzs0NlUEoxa9Ys+vTpwx133ME777zDxx9/zD333BMKNjNmzGDMmDGMHz+e//znP0yfPp2bbrqJt99+myeeeIKYmBji4+PRNI033niDESNGcNJJJxEdHX3UppVKGBB/jlJQVw7ZPxgBQDNBVKrxzT++I1gjjNt+10S2qaCabzcXszG/mvP7pTKkU/x+uwF0HfLyjMr/gw+MMFBXZ9wfGwtDhhjTAE87DVJTD68FYE9BPcjK4pV8mvUpSeFJ3DXwLtIi0yQEiCaXkwMTJ0JNzeEfq1MnY3bNvsLA8ccfz8CBAykpKeHJJ5/kpJNOOuCxli9fzsKFC3nppZcwm82hfQcAIiIiuOGGGzCZTEybNo3Zs2eTnp5OaWkpU6dODX3jnj59Oo888ggdOnTAZDLx/fffs3HjRp588klWrlzJa6+9xvnnn9/geXtWkJqm4XQ6Q9/ef6+iogKTyURsbCw2m43Y2Fjy8/PZuXMn5513HiaTiR49erBmzZoGz+vSpQv33nsvdXV1TJkyhVNOOYVTTjmF9PR0brvtNpzO35Z13rp1K8OHD0fTNLp3786SJUsarK0QHh5OWVkZfr+fsrIyNmzYQEFBAVu2bOH111/H5/PRvn177rzzTlasWMH27dtZtmwZJSUlTJ06lbZt2/7h7/VwSRgQB1bfRl9bamzos2sp7F5qfPsfcT/EZoDp17fR7ypNpRQlLi9FLi+vfruVs3onc0JGPAPSY/eqYJUCtxt+/tloBZg7F/LzjdutVmM54IsuggsugK5djdsaq45WSlHlq+KLbV+woWwDV2ReIdMDxTHFYjFawiIjD/9YiYn730lz1qxZ/PjjjzgcDnbt2kVdfQrfj02bNnHccccRFxe3199KUVERTz/9NFarldzcXCwWC6NGjSIsLIzbb7+dAQMGcN1113Heeefx3HPPkZiYyPXXX8+6devYuHEjjz32GF6vF4/HQ9euXbHb7aHnXX/99aGVEv+IyWRqsGlZfSW95+26roe6I+ofs3TpUj799FOcTic7duygoqICu91OWFhYqFViz3PUt5oopRocS9M0xo8fz1NPPcWdd96Jy+UKjTnQNI0pU6YQERHB+PHjycvLw+/3c8EFF3D++efz7LPPMnfuXK666qqDutbDIWFA7K1+9H/+aihYDYXrjNaAyLaQOhDO+Ss42xiP3c+KYwFdkVXk4q/fZBEVZuX8/qmc1St5n2MB8vON/QDeew/WrAGv1zhsfDyceipMmGCMB4iObrwAUF/OMk8ZC3YvYEn+Enon9GbK4CmyhbA45nTqBD/++NvCnIfDbN53qKirq+OLL77gtddew2q1Mn78+AaV6L6kpqYyd+5cAoFAgwoQ4LvvvqNLly7cdtttvP7663g8HiIjI3nuueeoqqrirrvuYt26dVx44YVccMEFzJo1i3//+9+ceOKJDBkyhNtvvz1UyTqdTp5//vkGzxs8eDBAgy6M+v9qmkZpaSl+v5/Y2FhMJhOFhYVER0dTUVFBWloaXbt2Zd26daGtmfv27Rsqu1KKjz76iL/85S906dKFiRMnAmCxWEKDCPccM5CZmcnatWs566yzWL16NT169EApRVZWFh06dCAlJYW//vWveL1e3nzzTeLj42nTpg1paWkNVli0WCyhctS/9r9/XY8UCQPCUP9HX1cOW+Ya3QBKh4yT4fhrIbaDsdofHLBGVkpR4w3w3JzN1PqCTBqWwZCO8Zi038YD1E8JXLfOCAD/+5/RDKqUsSnQwIFw8cXGegCdOjVeN8CeZazwVjAvex5L85dyXPJx3DvoXlIiUiQEiGOSxWKsjHkkhYWF0b9/f5566ikiIyOJi4vDbDYTHR1NREQENpttr4FsJ510EosWLeKuu+7Cbrdz1VVXhR6fkZHBk08+ySOPPEJZWRkDBw5kw4YNvPnmm0RGRhIREUFqaipPP/00gUCA8vJyzj33XEaMGMGqVat4+umnMZvN9O7dm8zMTN5+++3Q8zp27NigHNOnT2fWrFmUlZXx9NNPc9ddd7Fw4UJKSkq48cYbmTx5Mk888QRWq5VzzjmHpKQkJkyYwKOPPsrq1asJBoOcccYZoeNpmsZJJ53EK6+8Qps2bbBYLNhsNvr06cOMGTN47LHHuPvuu4mKMjYcO/vss3nooYe4++67cblcPPnkk3g8Hp599lmeffZZamtref311wkGgzgcDq677jqcTidXXHEFjzzyCGazmREjRpCamsq1117L1KlT+fHHH3G5XFxzzTVH9hdff82yN0ErVP8rVzoEfVCRbXz7L1gN5Tuh3fHQ+XSI7wIW+0HVxEopKmr9zF1fyE87yuiS5OSGEZ2w7LFGgFJQVQULFsC0abBoEbhcxvPj441Nga680hgT4HQ2bgAAY8GgXdW7WJSziNUlq+mf1J+zO55NfNi+xy8Icbia094E9aPnS0tLQ1sRh4WF4ff7MZlMmEwmfD4fYWFhDWYGBINBSktLMZvNxMXFhVoJLBYLVVVVeL1eYmJiAOObdWVlJR6Ph7i4OMLCwqitraWyspLw8PDQ44LBIGVlZQDExcVhMpn2et6eZfB4PPh8PoDQxkd+vz80DbB+QGMwGCQ+Pj7URVBXV0dVVRVxcXHYbA3XC6m/rvotlm02GyaTCY/HQyAQICIiosFMB6/XS0VFBTExMaFugNraWhwOB0opysvL0XWd+Ph4zGZzaJ+H35er/nn15bLb7Q1mTrS4vQnqfznz58/HZrNx2mmnNZjnqZRi06ZNLFu2jKioKE499dRQChOHSCmj8s9bDtsXQnUeeF3GDIDk3tB9DMR3goiE33b62++hjEDhC+pUuP2syqngfyvz6Nk2iltP7Ux6fAQWkwZo6Drs2gWffgrvvw8bNxotA2YzdOsGl1wCl14KXbocmVYAgLyaPGbtmMXWiq0MTxvOQyc8JCFAiD1omobVaiUlJaXB7Xa7PfSzw+HY6zkWi4Xk5OTQbXtWUvWV+57q59LXi4iIICIiosFtFouFNm3aHPB5e5bB4XDsVbY9BzNqmkZcXNxezwsPD99v0DKbzXuVAfZ+DeqPFRYWttdrt+d17WvdBZPJtM/r2tdrcqQ1WRjw+/08/PDD9OnTB5fLxYoVK3jsscdCb6ScnBzuuecebrjhBtauXcvPP//MM888Ix/eh0L9uvnPlq9g63ywhUPXUdDnYnDEQli0MQjwdzMAgroip6KOcreXxMgwnHYLNouJQFDn+62l5FfWkV9VR3ZpLQ6rmcsGt+eEjvGEWc2hroC1a+E//zG6AgoKjKKEhxtTAidNgrPOgvqWx8YOAQpFfk0+s3fOZmPZRk5pdwqX97gcp/WPFxcRQojWpMnCQG5uLkVFRUyaNAmv18uECROorKwMpaS6ujqcTidDhw4lPDycGTNmhL7lNfOejSMv1A0QBFch7PoRsuYZ3/pPugviOxuLAe1n8F+Z28dPO8pYnFWCx68T77RRVefH69fRfw0JPVKiyEyJIikqjNtO7UJkmPXX9QI0amrg++/hjTeMjYKqq41jJyXBOecYXQGDBkFYWON3BYDRHZDryuWTrE/Ir8lnRLsRXNztYqJtso2waH5+vwWwaL2OZN3XZGGgvLycqKgorFYrJpMJs9mMy+UKhYH27duTkJDAzTffTHl5OXfccUeoP0XXdf7zn/+wdetWNmzYQGZmZlNdxrGlfiGgnGWw/VuoyoOAF9KOg2G3Q5ueoTUAlFIoXYUqY39Q4fL62VzgYtqPO+nfPpYrh3agc5ITm9mEriCg6wSCCl0pIuwWNNijLwuKimDWLGM8wIoVxqyA+q6ACROM7oCOHQ9/YaD9X77CE/QwI2sGK4pWcFbGWdzU9ybCLGHyQSqaJYfDQVVVVWj0umjd6urqGqzc2JiaLAyEh4fj9XpDy1Xqut6gb2rZsmUEg0HefPPN0PKOp556Kna7HZPJxLhx40KrX7V6SoGn0pgBsGWuMeiv22hI7ArhCWB1oICAriiqqmNzoYt1uVUUVnuIsJlRQKnLS1Ap4iJs3HZaF3qnNvwWbdbAbDJjtzQ8rddrjAH46CNjmeAdO4xgYLPB0KFw9dUwZozRFXCkPsvqVw38ueBnZu2YRYfoDjw+9HGZIiiatfrFdAC8Xm8Tl0YcC6xW615jHxpLk4WBtLQ0PB4PmzdvDi1XGRsby6xZsxg4cCC6rlNbW4vH46GmpobgHutwapoWGpiy5ypQrY5SEPDA2o+MsQBtesLAK6Ft/wZjAHRdsWBLMXPWFeAL6nROctKvXQxpsQ7cPuN1TY4KIybcis1iavCNf1+n1HWj//+bb+Djj419Auq7AqKjjZUBr77a2CQoIuLIhoDaQC2ri1cza8csYuwxXNfnOjpGd5QFg0SLUB8IWvXnnGjgSH2uNVkYiIyM5J577uHNN9/EZDLxwAMPYLPZ2LlzJ927d+eEE05g3bp1PP7445hMJu6///4Go0NbNaWM8QClW+Gnf0J4PJz1HESlhGYBqF9X9AkqxbrcKj5elsMdZ3SlU6Jzr42ADuZ0YEwL/OknIwB8842xWJCuG10BnToZqwNedhn07Nm4KwTuXR6jJeCXwl+YuW0mbSLaMDFzIt1iu0kIEC2OvJ/F0dBkYUDTNAYPHsygQYMarOR0yy23hB5zyy23EAwGQztUteo/ivpVAatyjJUBdywETzX0vxw6jgi1BCil8AV0Nhe6+GlHGVuKXHj8QW49tQvdk/9cs7lS4PHAhg3GbIAvvoAtW4xZAppm7BNw4onGWIDTT/+tK+BIhoAafw1L85fyza5vSHAkcGPfG+kY0xGNVv7+EEKIw9CkKxBqmvaHCycc7PrTLZZS4C41BgRu+xZ0P7QdAAMmQpteYGk4JL/Y5eXZOZsJs5o4sXMCZ/ZMJjk6jDDLwX1jrp8SmJ0NX39tjANYseK3DVIcDhgwwNgoaMwYo0XAYjlyAcAokzEwcO7OuSzKXUSn6E7c1O8m2ke2l5YAIYRoBK28pj1G1S/a762CTbNgy2xIGwQn3w0x7Y0AAHutC1D864ZAx3WI5dJB7TAdZGuKUsbWqLt3G1MBZ840ugPKy437LBZjQaCzz4YLL4R+/Yy1An5XhEanlMKn+9hUtonpm6eT5kzjwcEPkuBIkJYAIYRoRBIGjjV6EIo3wcp3oLrAmBFw1nMQ3W6/Na9SioIqDy/N20Kv1GjG9k/FfBBTT+qXB160yNgpcOFCKC42bjeZIDnZGAR48cXGRkHx8Ue2G6D+Wvy6n/Wl61mSv4TsqmzCLGFc3uNyesb3xGxq3CU4hRBCSBg4digFdRWw8l3IWwHHXWWsD2CLAPZfAyulWJRVwn9/2sV5/VI5q3cylgMEgfrZAPXLA0+fbowJqB8HkJBgTAk8/3xjx8C2bRt/ieD9XYdCsat6F9PWT8OsmRnebjgXd7uYuLA4zJpZWgKEEOIIkTBwLNCDkLcSlr4K7YfAea+BPeqgamBdwVdrC7jjjK5kpux/74b6wYDLl8M778BXXxmLBClljAMYMsQYCDhyJLRvf+THAfxWLoWudHa7dvPF9i/Irsrmom4XcXzy8RIAhBDiKJEw0JTq9wxY/QHsXgon3gEpfQ+4SdCey1G6PAG+31pCZa2fjISIfVacShlrAMydaywPvHQp1NYaFX2bNsY4gCuugOOOM0LB0ap761sC8lx5fLD5A0rrSjkz/Uyu7nU1EdZ9X4sQQogjQ8JAU1EK3MWw4GmITIazXwZHzAFrY6UUeZV1fLYyD5OmsSG/is5JTu4Z1Q2H1fy7xxrbA3/2Gfz977B6NQQCxjf+Pn3g8suNGQEdOhy55YH3dw260tleuZ0vd3xJjiuHMR3HMCx1GHazXUKAEEI0AQkDTUEpKNoAC5+F7qON3QNNf/yrqKrz8+yczQzvmki0w8rZfVJIjw/H1GBWgdH/v3AhPPMM/PijEQIcDmNlwGuuMf4bE3P0AoBRLqMlYEPpBv637X/U+ms5s8OZXN/nemkJEEKIJiZh4GhSCoJ+2LkIlr8NJ95pDBI8mLEBuuKL1fn0SYtm3MC0BgHgt8cY+wQ8/7zRIuB2GzsDnn023HorDBsGdvvRDwG60ilwFzBrxyx2Vu3kom4X0TuhNzaTTUKAEEIcAyQMHC1KQU0RLHrOCARnPGFsJfwHlaFSihpvgP8syWZbcQ0Pn525VxBQCkpL4V//gtdeMwYGms0weDA88IAxKLCpQsC2ym3M3D6TIncRJ6aeyIQeE6QlQAghjjESBo40pcBfCzk/w/L/QOYYyDwPTH+8eL9SitIaL3/7divp8RE8fUFvImzmPe4Hn8+YGfDUU7BmjdE60KED3H47XHnl0e8OANCVzo7KHczaMYsCdwFndzybQcmDCDPLVsJCCHEskjBwpNRvJlS4Dn74P2OQ4El3QkqfA84WAAjoOit3VbBgczE7S90M75rIRce1w2r+7XlKwdat8MQTxpLBHg9ERsKECXD33ZCRcfRDgFIKl8/Fp1mfsql8E2ekn8H1fa+XECCEEMc4CQNHglJQUwg/vmJ0DQy91dhWWDvwsH2lFEFd8eWafBZmlXDhgDRuHNGZqDALoIUO7XbDf/8LU6caSwibzXDKKfDII8bGQUdjkaDfl9vtd/N19td8n/c9/ZL68eiQR6U7QAghmgkJA41NKajcDfOmQPcxkHnuXpsJ7ftpip93lvPZylwU8NDZPUhwNpxqp+vGFMFHHjE2EQoEjBUC770XJk82WgaaIgQszl3MvF3z6BbXjQeOf4DE8ERMf9D6IYQQ4tghYaAxKQUFa2DxizDwSuh8+kGFALc3yOz1BcxeV8Dtp3Uhs20UNvNvu/EpBZWV8I9/wP/9H5SUgM1mbBr02GPQo4exVsDRFNSDrCpexfTN08mIzuCeQfeQEpEiGwgJIUQzJGGgsSgdsr6Gle/ByXf92i1w4C4Bb0BnfV4Vry3YRveUKJ48rxdpsY4GISAYNNYKeOghWLLEaB3o3BkefhguusiYOni0WwPyavL439b/UeAu4Lo+19Eltou0BAghRDMmYaAx6EHY8D/Y9AWMegZi0g+4sVCtL8ianEo++GU34TYz1w/vyHEd4vYaIFhUBC+9ZCwjXFVlbBt82WUwZQqk7/8UR4RSitK6Ur7Y/gVrS9ZyRoczuKb3NYRZZHCgEEI0dxIGDpceNPYW2LEQznoenG0OGAQ+WZHLgk3FJDht3DSiM12TnZg1rUFrQCAAc+YYYwPWrjWe268fPP44jBoF1j+eldholFJUeiv5OvtrluQv4eS0k3ls6GPE2GMkBAghRAshYeBwBP2wfBrk/gKjnoWIhAPW0t6AzoJNRTwwugdpseGYNBpUqEpBfj48/bSxs2BtLURHw/XXw513QlLS0Q0BQRVkaf5SPs36lP5t+vPwCQ+T4EiQECCEEC2MhIFDpQdg9ftQshlGvwhh0X9YU5fV+LBZzLSNcWA2NXxsIADz5hkrBq5bZxxq2DAjGAwbdvSmC9bvIbCzaifTN08noAe4Y+AdpEelSwgQQogWSsLAodADxkDBvBXGssKOmD98ilKK77YU0ys1CoupYWtAdTW88AK88oqx02BMjLGC4G23QWzs0WsN0JVOdlU2M7bOoNBdyNguYxmUPAirySpBQAghWjAJA39WwAcrphm7Dp75JITF/OFTlFJsyK9m4ZZipo7ts8ftkJUFd9xhrBugFBx/vLHRUP3iQUeDUopqXzVfbP+CVcWrOK/TeQxKHoTD4pAQIIQQrYCEgYOlFPjr4Jd/Q3W+EQTsUQe5v4CPfyzcxk0jOpPgNHbqCwZh9mxjLMC2bcZGQlddBY8+evTGBiil8Ok+vs/9nlk7ZtEnsQ+PDXmMSFukhAAhhGhFJAwcDKUg4IXvngZbBJz2MNicf1hjB3XFx8tzmL+xiNG9U+jXLgbQcLvh1VeN5YSrqyE52dhoaMIEYzGhI10P14eAXwp+Yc7OOcTYY7j7uLtJdaYCSBAQQohWRsLAQVGw/C0w2+Cku8BiP/CjlaLOF2Tm6nx+3lnGM2N7kxhpR0OjqAjuuw8++MAYNDhokBEMBg06OqsIKqXYVb2Laeun4bA6mJA5ga6xXTFrZgkBQgjRSkkY+CNKwZa5kLcSzn7JCAQHoCvFlkIX/1q0nfT4CB46O5N4pw3QWL8ebrzRWEnQbDYWEHrhBUhJOTqtATX+Gj7N+pS1JWsZ22UsQ9oOkRAghBBCwsABKQXVebDqv3DWs384fbC6zs+7S7PZmF/NpGEZDEyPxWzS0HVj2uDNN8OOHeB0GpsL3XmnsargkayL66cKbq/czlvr3qJbXDceG/oYUbYoCQFCCCEACQMHFqgzNh3qczFEt/vDvQY+XZFLQFc8O64PkWEWNE3D7zcWELrvPigvN3YZfPllGDfuyK8doJTC5Xfx4eYP2Vy+mcu6X8aANgNkHwEhhBANSBjYH6Vg9XRwJkH3s/8wCGSXuflphzE+IMphRSnweOCvfzUGB9bWQu/e8K9/wQknHJ1ugbyaPF5f/To94nvwxNAniLBGSGuAEEKIvUgY2J+qXNi+AMb8H5itB3xojTfAS/OymHBCOvERNpQyKv/HH4e//Q38fjjlFPj3v6FTpyPfGuDTfSzYvYA5O+cwrss4Tkw7EbN2lBYtEEII0exIGNiXoB+WvQE9xkB4wj4fopQCwOUJ8PrC7fRsG82JnRMAjaoqY0zAtGnGlsMXXAB//zu02f8eRo1CVzrZ1dm8v/F9HBYHDxz/AMkRydIaIIQQ4oAkDPyeUpD9A9SWQ+b5+6y9lVLsKqvlo2U57CitYWB6LFcO7YCmGeMCbr0VPvrIeOqkSfDii8YSw0eqTq7fWXDWjlmhFQSHpQ6TmQJCCCEOioSBPSkFnipY8R8Yft8+1xNQSpFXWcezczYxuncKV5+UQVyELbSGwI03wsyZYLHALbfAE09ARMSRCwJBFWRp3lI+3fopA9sM5NEhj8pMASGEEH+KhIE9KR2WvgbpwyCp+141eH2LwCvfbuXcfqmM6pWMSdNQCvLy4JprjCmENhvcfTdMmQJhYUcuCPiCPj7N+pR1peu4Y+AdtI9sLyFACCHEnyZhoJ5SxnbEZdvgxDtgH9PvfAGdF+dt4ezeKZyR2SYUBHbtMroDFi0ChwMeegjuuuvILS2slCLfnc+09dMIt4Tz4OAHcVqdEgSEEEIcEgkD9QIeWPIaHHc1WMP3utsXCPKfJdkkOO2ckdkGi9lkDC/IhokT4ccfje6Ap54yFheyHngCwiHTlc7PBT8zffN0zu10LsPThmMxW9CQICCEEOLQSBgAo1Vg4xfGmgLpQ/bZPfDFmnyKqj3cPbIbZpPRIpCfb7QI/PgjREYaWw9fc40xXqDxi6hw+918tOUjsiqyuOu4u6RbQAghRKOQpejqlxzeNBMGXw+mvWvygioP8zYUcf3wTkTYzIBGRYXRArB4sdEi8OKLRzYI5LhyePrnpzFpJh4+4WEJAkIIIRqNtAyoICx9HXpfBJEpe9+tFAs2FzO8ayJJkXY0TaOuDh58EL78Eux2Y3Ghq646MkFgz26BS7pdwpC2Q2Q5YSGEEI2qdYcBpWDHQvBUQtez9jvab2epm3P6pKBpGsEgvPYavP228fDbbjOmEDZ2EFBKEVAB5uycw+Lcxdw58E7So9KlNUAIIUSja91hIOiHNR8Zswf2saYAQFBXlNZ4aRMVhlIwdy48/bSxxPDFF8PDDxuzBhqTUoq6QB3vbnyXsroyHjj+AeLC4iQICCGEOCJabxhQCorWGSEgoct+WwVcngBev05MuJXt241th6uq4LjjjN0Hnc7GnT6olGK3azdvrH2D9Kh07jzuTsLMYRIEhBBCHDGtNwwAZM2DbqP2OWgQjFaBT1fk0jstmoDXzL33QlYWJCXBK68Y2xE3Zh0d0AN8t/s7vtzxJRd1vYihbYdi0kwSBIQQQhxRrTcMeKqheAMcf81+9x/4eWcZa3Irefr83rz+ijFg0GaDRx+FwYMbLwjs2S1Q6C7kgcEPkBwuGwwJIYQ4OlrnsPT6gYNJmRAev8+H6ArmrCtk4gnprPzZwvPPawQCMH48TJ4MpkZ65ZRSlNaV8sKyF7BoFu47/j4JAkIIIY6q1tkyoIKwbT4Mumafyw6DMYOg3O0jwRzNxXcb6wr06WOsMBgW1kjFUIqsiiz+teZfnJ5+Omd2OBPLfroshBBCiCOlddY8VXngq4Gkbvu8WynFil3lDGofz8vPm1m1CqKi4IUXIDW1cboHdKWzvHA5/930X67qdRV9E/tKa4AQQogm0WRhQCmF1+tl/fr1WCwWevbsicViCVWISikCgQBbtmyhoqKCbt26kZiYePgVplKwawmkHQfmfU8nDOiK5dkVRBV14D//0dA0uP12OPXUxgkCQT3InJ1z+C7nO1k/QAghRJNrsjAQDAaZOnUqwWCQuro60tPTueWWW0KVYjAY5OWXX8blctGuXTu8Xi+nnXba4Z9YBSH7BzjhRva3t8+24hpy82DlvyKprYWTToI77michYXqtx3eVL6JBwc/KOsHCCGEaHJNFgYKCgpYu3Yt77//PnV1dUyePJkrr7yS6OhoALKystiwYQMPPvggNpuN9u0baS3+qlzw10J8Z36fBpRS+IOK7zaV8MvMBHZu0YiLg2efhZiYwzutUgq/7mfa+mlU+aq457h7iLRFShAQQgjR5JosDBQXFxMTE0NYWBhWqxWz2UxlZWUoDGzdupW1a9fywQcfUFBQQN++fbnpppswmUzous7q1aspLy9ny5YtZGZmHtxJlYItc6DTKftccdAT0Hlh7mYWLoTspemAxk03Nc40wtpALW+te4ugCnJr/1tlISEhhBDHjCabWmi1WgkEAiil0HUdpRRmszl0v8VioV27djz00EM8/vjjzJ07l7q6utD9FRUVFBUVUV1dffAn9dfC7p+g4yn73Kb4o192E/Ba8C3rge41068f3Hor7FGsP00pRY2vhldWvoLT5uSmvjdJEBBCCHFMabKWgdTUVFwuV6hCt1qtxMXFsXLlSjIyMujWrRs2m426ujqqqqqwWq2Yfp3cbzKZQuMH9gwIB6QU5K0wdiaMTv3dXYptJTUs3lpKRmlvflqiERam8fDDkJh46NeolKLcU86rq16lU0wnLu1+KVaT9dAPKIQQQhwBTRYG4uLiuPLKK3n00UdRSnHLLbdgt9v57LPPuPTSS+nRowdnn3029913H36/n1tuuYWww53gv/UbY/nhPcYKKKXYWlzDc3M2c3p6Oo89YycY1Bg7FkaPPvTugfrFhF5a/hLDUodxVsZZsoaAEEKIY1KT1U6apnH++edz5plnYjKZQhX9Y489hslkwmQyMWnSJC6++GLMZjNhYYfZtO6rgYpsSO7ToIZXwIe/7Oay49NZOD2RbduMQYP333/ouxEqpajyVvG3lX9jeLvhjOwwEtN+FjcSQgghmlqTflXVNI2IiIgGt1n2mL9nMplwOp2Nc7KybRCRCI6YBjfvKHFTUOUhLhjHW29pKAVXXgl9+x5aq4BSigpPBS+veJkBbQZwZvqZEgSEEEIc01pHu7VSkLcSUgewZxdBQNf5eHkOp3VvwztvmSkogLQ0uPnmQ9t7QClFSV0Jf13xV4a2HcrojNGYTYcx+lAIIYQ4ClrJV1YFxZugTa/Q132lFNuKa8gpr6WdqQ3TpxsrDV51FWRk/PlWAaUURbVFPL/seU5pdwpndzxbgoAQQohmoXWEAb8Haoohph3wa1N+rZ+3ftjJhQPa8fH7FoqLoV07IwwcShAo85Tx0vKXGJ0xmtPTT5euASGEEM1G66ixXPlgC4ew6NBNb32/gx7JUaRaE5g+3aj9r7jCCAR/Ngy4/W5eXfUqI9qNYES7ERIEhBBCNCtHpNZSSu3zX5NQCkq2GMsPa0azvdsbZHuJm3P7tuWTD00UFkJysjFw8M+OFQjoAf6z4T9kRGXIrAEhhBDNUqMPIFRKsXHjRj755BNcLhcAycnJ/OUvf8FqbaIFdwrXQdsBof+7JreStjFh+N023nvPyAsXXggdO/65wyql+GbXN1R4K7im9zWyjoAQQohmqdFrL5/Px8svv8zYsWNJTTVW+gsLC2uw1PBRpQegbDv0HQ+ahq4UK3dX0K99LHNmw/btEB3958cKKKVYW7qWednzeHDwg9j3sx2yEEIIcaw7Il9lExMTOfnkk3E6nU2/Bn9dOQT9ENkGpRTLsyvYUuhibJ90LrtNQ9fh1FOhZ8+DDwNKKfJq8nh73dvc1O8mEhwJTX+dQgghxCFq9DBQvwHRtddeS/fu3dE0jaSkJK655pqm6SYo3wnRbcFsRwFfrc1n0tAO7NhkZdkysFph8mTjvwfL7XfzjzX/YFzXcXSN7SpBQAghRLN2RFoGLrnkEsrLy0P/3+l0hjYZOqqUgvzVkNwXAK9fp8TlJSPBycPPa9TVQZ8+cNJJB98qENADvLfxPbrEdmFY22ESBIQQQjR7jV5Da5pGZmYmtbW1rFmzhoqKCnr16tU0YQAFJZuhjdEHUO72YbWYcFdYmD3beMRFFxljBg7qaEoxf9d8SupKuKTbJbKokBBCiBah0WtopRQvvfQSP/30ExkZGWzevJknnniCYDDY2Kf6YwGvMWYgqi1KKXaU1tAuNpzvFmjk5EBMDFxwwcG1CiilyKrIYm72XG7oewNh5sPcQVEIIYQ4RjR6GPB4PBQVFfHoo49y0UUXMWXKFPx+P9XV1Y19qoMoTJWxtoDN2Owoq6iGjvGRfPIJ6DoMGwZduvzxYZRSuHwu3l7/NhN6TCDRkSjdA0IIIVqMRg8DNpsNs9nM7Nmz2bFjB/Pnz6e2tpbw8PDGPtUfq84zdio0W1HAjpIazLVOfvpJw2Qy1hY4mIGDQRXknY3v0CexDwPaDJAgIIQQokVp9AGEZrOZu+66i3/84x989tlntGnThrvvvhu7vQnm4RdtgKQeANR6A5TV+Nic7aC8HNq0gVNO+eMuAqUU87LnUeWt4tre18oKg0IIIVqcRg0DHo8Hn89HVFQUf/nLXwgGg5jN5qaZUqgUlG6FbmehgM2FLuLDw1j0jQWlYOhQ+HVNpAMcQpFdnc3X2V8z5YQphFlknIAQQoiWp1HDwPr169m4cSO5ubls3rw5dHtaWhqPPfYYNputMU93YLrf6CaIaQ/ATzvKaB8Wz5srjP0HxoyBP1oU0RPw8Oa6NxnffTyJjsSjUGghhBDi6GvUMDBgwAD69+9PIBDAZDIRDAYpLy8nNjb26LcO1FaA0iEikaBS7Chxk1jcltJSjbg4OPHEA3cRKKX4audXpESkMCh5kIwTEEII0WI1age4yWRCKcU//vEPPB4PH3zwAddddx0vv/wyuq435qn+WE0RhMeD2YbLE8DtDbL6Jzu6Dv36GVsV749Sih1VO/gx70cu63GZrCcghBCiRWv00XBer5edO3eilGLhwoX8/e9/p7i4+OhPLazOg6i2AOwqq8Wm21m1zKjUTzsNDtRj4dN9vLfxPS7qehGx9tijUVohhBCiyTR6GLBarfh8PqZNm4bT6SQpKYlgMHh0VyBUCip3QUw6CliXV4WtJpqcHAgLg+HD999FoJRiYc5CIqwRHJ9yvHQPCCGEaPGOSBi47bbbMJlM3HXXXei6zqmnnorT6WzsUx1YZS5EtzNmEhRUU7EzCo9HIy0NunXb/9OqfdXM2TmH8d3HY9ake0AIIUTL16gDCEtLS6msrMTn89G3b1/y8vLIy8sjPT29MU/zx5QO7hKIbIPbG6C4yseuDcaiRwMH7n8vAqUUs3bMYkDSAFKdqdIqIIQQolVo1DBQUlLCjh07KC4uZteuXaHbk5KS6NOnD+Y/msvXWAIe8NeCI5bKWj/eWjPbNhvnHjbMmFr4e0opCt2FLCtcxiNDHpEgIIQQotVo1DDQvXt3unfvTk5ODsnJyVitVoLBIHl5eVgsR2S35H3zVoPZClYHxS43FQU2ios0wsLg+OP3PV4gqIJ8uOVDzkg/QwYNCiGEaFUadcyApmn4fD7+9re/4fP50DQNXdd59dVXqampacxTHVhNCThiUSYLG/KqcBdE4vFAcjJ06rT3w5VSrC5eTbmnnNPanyatAkIIIVqVRh9AGAwG8Xg8aJqGUgowphsGAoHGPtX+Ve6G6DR8QcUvO8sxlcYBGj167Hu8gF/3879t/+OSbpdgNzfBHgpCCCFEE2r0tvuwsDA6duzII488wqBBg1i/fj3R0dFERUU19qn2TSko3wFxHams9VPngZJdDsAYPPj73gqlFCuLV+KwOOge111aBYQQQrQ6jR4GTCYTN910E/Pnz2fz5s3079+fkSNHHt11BqrzocMwiqo9qDo7+bnGlsX9++89XsAX9DFz20wmZk6UqYRCCCFapUavoZVSuN1udu3aRTAY5IwzzmDlypWhLoMjTgWhrhwiEsmv9FBXFkZVFURE7L2+gFKKNSVriLJF0S22m7QKCCGEaJWOyJiBF154AYfDwebNm1FK8dlnn+F2uxv7VPspgB8CHpQ9kp2lNdQURuD3a7RpA23bNnxoQAX4audXjM4YjUk7ii0XQgghxDGk0WtAn89HbW0tl1xyCZGRkZjNZsxmM36/v7FPtW/+OkAjaApjS2ENenkkAB07wp6LICql2FS2CaUUmQmZ0ioghBCi1Wr0MGC324mOjmb69OmUlpbyxRdfABAZGdnYp9o3Xw1Y7FT7FG5PkMqCMMDoIthz8KCudL7c/iVndzwbi3YU10AQQgghjjGNHgY0TWPy5Mm4XC7CwsLIzs7mnnvuOXqLDtVVQFg0pbVBzEErBXnGJWZmNnzYjqoduHwu+iX1k1YBIYQQrVqj19Ber5dp06bx8MMPY7Va0TTt6Fa2tWXgiKO42oPmtVNRbrQIdOny20wCXel8ueNLRmaMxGY6wF7GQgghRCvQ6C0DNpsNi8XCrFmzyMrKYuvWrWRnZ6PremOfat9qilHOJPKrPJjqHLjd4HD8NnhQKUWuK5c8Vx6DkwdLq4AQQohW74i03dtsNmbMmMHs2bPRNI3U1FSmTJmCzXaEv4UrBTXFEJdBUb4Hb2U0gYBGTAzEx//2sC93fMnp6afjsDiObHmEEEKIZqBRw4BSisWLF1NQUMDJJ5/MlVdeid1uLO971L6Bu0ug3fGU1HipKbWjFCQlQf34xTJPGdsqtjExc6K0CgghhBA0cjdBeXk5r7/+OsOHD2fFihUsWbIEk8mEyWQ6ShWvAk8luj2G6roA5YVWANq1A5vNCCs/F/xM78TeRFqP0uwGIYQQ4hjXqC0DlZWV9OzZk3HjxhEfH8/OnTsb8/B/TA+CrxafxYnb46a8yAgDHTqAyWRsU7wkfwmTek6SVgEhhBDiV43eTbB8+XKmTp3Krl27KC0tpbCwkMTERCZNmoTVam3M0+1ND4Dup0a34vVoVJQaDR8dOwIYAwcDeoD0qPQjWw4hhBCiGWnUMNCmTRsmTZqE3+8nIyMjdHtMTMzR+SYe8AKQ79KxBu1UVZgwm42WAYAf839kcMpgrKYjHEqEEEKIZqRRw0BkZCQXXnhhYx7yz/HXgslKniuAxeug1m2MFUhLA2/Qy6qiVdx53J3SRSCEEELsoWXtzuNzo6zh5FZ6we3A69WIioKkJMW2ym1E2iNpE96mqUsphBBCHFNaVhjwVIE9kmKXl9qyMHQdEhIgKgoW5SzipNSTZHdCIYQQ4ndaVs1YV4EeFk15rZ/qEmOBo7ZtQbfUsq1yG/2T+ksXgRBCCPE7TRoGgsEgeXl5FBYW7ne54mAwSHl5OYFA4I8P6KmizhxJTV2QiiIjDHToALtcO0hwJBBtj27E0gshhBAtQ5OFAV3X+fe//81TTz3FQw89xKeffopSqsFjlFLMnTuXM888k127dv3xQesqKPaHY8FCVYkxNjIjQ7G8aBkD2wxEQ1oFhBBCiN87SvsK7624uJi5c+fyzjvv4Ha7ufnmmxk9ejROpxMwgkBBQQHz5s0jMTHxIFsGKikLtsem2ygtNXYpbJceYG3FZkZljJIuAiGEEGIfmqxloKCggJiYGCIjI0lMTETTNCoqKkL3BwIB3nzzTS655BIiIxsuHayUIj8/n23btlFSUlJ/I3iqKfLZMHnDqKoyphXaE4rR0Eh0JB7NyxNCCCGajWNqAOGe3QSLFi2irq6O9PR0vF4vVVVVoXEFuq6zaNEiPv74Y1auXFn/bJSvhoI6G8GaMDweCA9XlFnX0y2uGxZTkzWCCCGEEMe0JqshU1JSqKqqwuVy4Xa7UUoRGxtLbm4u8fHxVFZW4nK5ePnll9m8eTMffvghmZmZOJ1OzGYz48ePB+DNN980DqgU+GrJrzPhq3QQDGrExetk+1dxaZJ0EQghhBD702RhICkpiTPPPJMHH3wQn8/H+PHjCQ8P56GHHmLy5MmMGzeOcePGEQwGqamp4eabbyYiImL/B1Q6esBHld9MZaExkyA6sRYXRXSM7niUrkoIIYRofposDJhMJq6//noKCgowm820adMGTdN48skncTgcoW/yZrOZF154gfDw8AN/uw/6CQT81AatlOQbl2WOyyUxIganzXk0LkkIIYRolpq0I91sNpOWltbgtqioqAb/X9O0vW7bp6APf1DHG7RRmG8CFJ7ojfRK7ClTCoUQQogDOKYGEB6WoI9aP3g8FirKjMtScdvoldBLxgsIIYQQB9BywoCvlpqgBbfLRnWVhmYO0CbNQ6oztalLJoQQQhzTWlAYqKE6YKGm0o6nDjR7HT06xBBhPcCgQyGEEEK0oDDgr6Xcb6Gq2EowCOZwF307tJPxAkIIIcQfaDlhwOemwm+lpiQMpTQcsZX0TOnQ1KUSQgghjnktJgwor4sSn43KX3crjG9bQ4fYtjJ4UAghhPgDLSYM4KuhpM6OtzIMUGR0VMQ6Ypq6VEIIIcQxr+WEAW8NLl8EtZVGy0Dvbg7sZlsTF0oIIYQ49rWYMKD73JRWR6DXWdHMQfp1j2nqIgkhhBDNQosJA8rrprIqiqDfhD0sSPeMSBkvIIQQQhyEFhIGFLqvFldVDOga0bFB0to4mrpQQgghRLPQQsIABHwe3BUxAKSkQFyUjBcQQgghDkbLCAMKgl4PNZXRAHTsYMZubxmXJoQQQhxpLaPGVDp+j5+aqhgAOnfWMMlwASGEEOKgtJgw4HXr1Loi0TTo2qVlXJYQQghxNLSMWlPplFU5cHsisFigcyeTzCQQQgghDlKLCQN5ZTHU+R1EOBVt2zZ1gYQQQojmo2WEAT3AjuIUgspMbJxOfHxTF0gIIYRoPlpGGAj62VrSDoC0NA1nhHQRCCGEEAerRYSBYCDItpJUADIydCyWJi6QEEII0Yy0iDDg9WrsLksGoGNnHRk7KIQQQhy8FhEGKt0Oiqpjfp1WiMwkEEIIIf6EFhEGCkodVNaGY7XrtEsPNnVxhBBCiGalRYSBndkaXi9ERPppm9IiLkkIIYQ4alpEzZmVpaGURnyin9hY6SIQQggh/oxmHwaUgqws4+ektFrCw5r9JQkhhBBHVbOvOYNB2L0bQJGaUYvFbG7qIgkhhBDNSrMPA0qBz2f8nNbRjUlmEgghhBB/SosIA0oB5gBpHbxNXRwhhBCi2Wn2YaCeOayWlFSZViiEEEL8WS0mDNiiK0lONMuCQ0IIIcSf1GLCgCOxiIRoR1MXQwghhGh2WkwYiEorJNrhbOpiCCGEEM1OCwkDiph2BTitEgaEEEKIP6tFhAHNHCS+XRk2s62piyKEEEI0Oy0iDFjstSSkuCQMCCGEEIeg2YcBTYOY2CKS4nXMmqw+KIQQQvxZzT4MWCyKu8e+T0KMRaYVCiGEEIfA0tQFOFwaEB5ZijUsCg0JA0IIIcSf1exbBkDhUgEi7bHSMiCEEEIcghYQBqCaIFFh0U1dDCGEEKJZagFhQFGtgkTaopq6IEIIIUSz1PzDgAKX0nGYI5q6JEIIIUSz1PzDAOA2QYSsPiiEEEIckmYfBhSKWrOFKLuEASGEEOJQtIAwAB7Ngt1kb+qiCCGEEM1Sk4YBpRS6rqPr+n7vDwaDKKX2fwygzmRFa/5LJgghhBBNoslqUKUUa9euZfr06VgsFiZPnkzHjh1DawXk5uby9ttvU1VVRdu2bbn66quJiYnZ57ECmhWTZj2KpRdCCCFajiZrGXC73Tz99NOMGzeOESNG8NRTT+H3+0P3a5rGmDFjuPfee6mtreXdd9/dZwuBAswmKxaThAEhhBDiUDRZGMjJycFsNtO/f3+GDh1KeXk55eXloftTU1Pp378/SUlJxMbGEggEQvcppXC73VRVVVFXV4dNM2M1STeBEEIIcSiarAZ1u904HA5MJhNWqxWTyYTH42nwGKUUP/30Ez/88AMvv/xy6HZd1/nvf/9LVlYWa9evxX6SCassRSyEEEIckiYLA7GxsbhcLgKBAF6vl2AwiNPpRNf10LiBX375hVdffZUnn3ySlJSU0O0mk4lrr70WgH++8U++LP0fZpOEASGEEOJQNFkYSEtLIzo6mk8++YTq6mq6detGdHQ0zz33HBdccAGapnHbbbcxceJEduzYgc/nIzMzE03TQv/AGFtg1cyYtWY/S1IIIYRoEk1Wg9psNp5++mm8Xi+RkZFMmTIFi8XC0KFDiY+Px+FwcMsttxATE0NJSQnV1dX7PZYZKybpJhBCCCEOSZO1DGiaRps2bbjqqqsa3D58+PDQzxMnTjyoY5k0K1rzXz9JCCGEaBItoga1aRaQlgEhhBDikLSIMBAm4wWEEEKIQ9YiatEwkzk0oFAIIYQQf06zDwMaEINJugmEEEKIQ9Tsw4BFwfG+IBoSBoQQQohD0ezDAIBVM0vDgBBCCHGIWkQYUCaLtAsIIYQQh6hFhAFMMrVQCCGEOFQtIgwok1VaBoQQQohD1CLCgG4yN3URhBBCiGarRYQBpVmbughCCCFEs9Xsw0AQE1tMnZq6GEIIIUSz1ezDgI5GiTmxqYshhBBCNFvNPgwAWEwyfFAIIYQ4VC0jDJhbxGUIIYQQTaIF1KIa4TaZTSCEEEIcqmYfBixmjSEd45u6GEIIIUSz1ezDgAaEWWULYyGEEOJQNfswIIQQQojDI2FACCGEaOUkDAghhBCtnIQBIYQQopWTMCCEEEK0chIGhBBCiFZOwoAQQgjRykkYEEIIIVo5CQNCCCFEKydhQAghhGjlJAwIIYQQrZyEASGEEKKVkzAghBBCtHISBoQQQohWTsKAEEII0cpJGBBCCCFaOQkDQgghRCsnYUAIIYRo5SQMCCGEEK2chAEhhBCilZMwIIQQQrRyEgaEEEKIVk7CgBBCCNHKSRgQQgghWjkJA0IIIUQrJ2FACCGEaOUkDAghhBCtnIQBIYQQopWzNOXJlVKhnzVN+9P3CyGEEOLwNVkYUEqRl5fH559/js1mY+zYscTHx4cqfaUUGzduZN68eSQlJXH++ecTERHRVMUVQgghWqwm6ybwer089NBDpKamYrPZeOqppwgGg6H7S0pKePTRR+nfvz/Z2dm88cYbDVoKhBBCCNE4miwM5OTkUFtbyznnnMOFF17Ijh07qKioCN2/evVq0tPTGT58OBMmTGDx4sX4/f6mKq4QQgjRYjVZN0FVVRVOpxOz2YzdbsdsNuN2u0lMTASgvLycuLg4ACIiIvD5fPh8Pmw2G8FgkI8//pjs7GyWLVvG8uXLWbRoUVNdylGj6zp+vx+73d7URTniWtO1KqXwer2EhYU1dVGOCo/Hg91ubxXjgJYtW8bkyZObuhhC/KEmCwNOp5O6urrQh76u6zgcjtD9UVFRVFdXA8aHh8ViwWq1AmAymTj55JM57rjjUErRuXNn+vfv3yTXcTTt2LGDBQsWcPnllzd1UY64wsJCPv74Y2677bamLsoRV1VVxb/+9S/uvffepi7KUfHCCy9w7bXXEhMT09RFOeKKiopaRegRzV+ThYF27dqhlGLp0qVUVVWRlJREbGws77zzDsOHD6dv3768+eabbNiwgcWLFzNw4EBsNhtgzCxITU0FICkpibS0NLp06dJUl3LUBAIBEhISWsW1OhwO4uLi6Ny5c4v/MC0rKyM2NrZVXKtSitjYWDIyMkhISGjq4hxxrSHwiJahycJAeHg4jz76KB9++CFWq5WHH3449O3fZDLRtm1b7rzzTqZPn05CQgK33HLLPo8zZMiQUHdCS9emTRtOO+20pi7GURETE8Po0aObuhhHRUREBOedd15TF+OoOffcc1vNzKCzzjqL2NjYpi6GEH9IU004RF/WGRBCCCGaXpOuQKhpWujfwdzv8/nYunUrubm56Lre4LFKKWpra9m8eTPFxcXNfhqiruvk5uaydetWfD5fg+tRSlFaWsqGDRv2+Vo0N0op8vPz2bJlCx6PZ5+/O6UUJSUluN3uJihh41FKUVRUxObNm6mtrd3rWpVSVFRUsGHDBvLz85v1+1gpRU1NDZs2baKsrGyf11pYWMj69espLS1t9tfqdrvJz8/H4/Hs8/6qqio2bdpERUVFs75W0TI16QqEf4bf7+epp56irq6OsrIyzj//fMaMGRMKCjU1Ndx7770kJCSwY8cO7rrrLvr3798sWxSUUnzxxRd88cUXxMXF4XQ6mTJlSmgAZUlJCVOnTiUxMZEtW7YwatQoLr300mZ7rd999x3vvPMOKSkpBINBnnzyyQYj65VSbNu2jYkTJ3Lbbbdx2WWXNWGJD51SimXLlvHKK6/QoUMHKisrefbZZ3E6naH7V69ezeuvv07Hjh2x2+3cdNNNzXaWQUVFBffccw+pqals376dhx9+mO7duwPGtf7www+89tpr9OnTh1WrVvHYY4/Rq1evJi71oSkpKWHKlCmsWbOGl156iZNOOqnB/YWFhdx///106NCB7du389RTT9GhQ4emKawQ+6Kaic2bN6tLLrlEeTwetXXrVnXRRRcpj8cTun/u3LnqzjvvVMFgUM2fP1/deuutKhgMNmGJD53H41Hjxo1T27ZtU3V1deriiy9WWVlZofsDgYDyer1K13W1evVqdfHFFyu/39+EJT50fr9fTZgwQa1evVr5fD41adIktXz58gaPqaurU/fdd5+6/vrr1dtvv91EJT18wWBQ3XDDDWrRokUqEAioW2+9VX377beh+30+n7rqqqvUDz/8oPLy8pTH41G6rjdhiQ+druvqo48+Uo899pgKBoNqxowZasqUKaHr0XVdTZ06Vb399tsqGAyqp556Sr377rtNXOpDFwgElMvlUjfffHOD36lSxrX+61//Un/961+Vrutq2rRp6vnnn2+2v1vRMjWbjYpycnJo27YtNpuN5ORkamtrqampCd2/detWunTpgqZpZGRkkJeX12BFw+akpqYGr9dLUlISdrudlJQUcnJyQvebzWZsNhu6rjN//nwGDhyI2WxuwhIfOo/HQ2VlJampqVgsFjp06MDOnTtD9yul+Pzzz+nWrRudO3duwpIePr/fT1FRER06dMBkMtGlSxe2bdsWur+mpoa1a9fy3nvv8dxzz3HPPfc0626RrVu30q1bN0wmE127diU7O7tBl9aYMWP4/PPPufPOO1m1ahWnnHJKE5b28JjNZiIiIjCZ9v2RmpWVRY8ePdA0ja5du7J9+3bpKhDHlGYTBkwmU+iDpP6PaM9mcZPJFLpdKdUsm8zr/b7suq7vdVswGOSDDz4gOzubG264oVlfL/z2O9V1vcEHam5uLrNnz2bIkCFUV1dTXl6+zz7Z5mDPfTdg72sF4/d644038uKLL1JTU8OaNWuOejkby+//Zn//Hl24cCHDhg3jxhtvpFOnTvz4448ttoL8/Wuxv9AgRFNpNu/IDh06kJubi9vtJjs7m6ioKCIiIsjKysLj8dCjRw82bNhAIBBg06ZNZGRkYLE0myERDTidTpxOJ7t37w4NSurQoQP5+fmUlJQQDAaZPn06S5cu5bHHHsPpdDbbD1GHw0FSUhLbt2/H6/Wyfft2unTpQnFxMQUFBXg8HpKSknjvvfdYsmQJixcvbtBK0pxYLBbat2/P5s2bQ+/T7t27U1ZWRk5ODhEREXTr1q3FzKLp2bMna9euJRAIsHbtWrp160YgEGDLli3ous769evp168fXbp0oUePHmRlZTV1kQ+ZUgpd10P/1XU9dK2BQIBevXqxevVqgsEga9asoXv37s36dytaniadWvhnBINBXnnlFbZu3UptbS2TJk1i6NCh3Hbbbdx3330kJyfz+OOPU1dXR1VVFQ888ABdu3Ztln9wSikWLlzIO++8g8PhoHv37txyyy3861//IjExkaFDhzJ+/Hg6duxIdHQ07du35/bbb2+W4UcpxfLly3nttdeIjIwkJSWFe++9l08++QS3280111yDpmkopXj77beJjo7mwgsvbOpiHxKlFJs2beK5554jOjqayMhIHn74YRYsWMDGjRu56667WLJkCW+99RaRkZGEhYXx6KOPEh4e3tRFPyQul4uHH34YgOrqah599FGsViuPPPIIr776KitWrODvf/877dq1Izc3lylTppCZmdks/2bdbjcvvvgiixcvJjk5mXPOOYfRo0fzl7/8hZdffhmlFA899BB2u52amhqefPJJkpOTm7rYQoQ0mzBQn7jLysqw2WxER0cDUFdXh91ux2QyEQgEKCsrw+l0EhER0Sw/VOqpX6ci+Xw+4uPjMZlM+Hw+NE0L7eNQz2QyNevrVUrhcrmoq6sjPj4es9mM3+9HKRXam0ApFbr++pUomyP16xS0mpoa4uPjsVgsBAIBgsFg6Fqrq6tDr4XFYmnWv1e/309ZWRnR0dE4HA6UUtTV1YUCjsvlwuVyERMTQ3h4eLO+1pqamlCrjtVqJSwsjNraWhwOB5qm4fV6qaioICYmhrCwsGZ7raJlajZhQAghhBBHRrMZMyCEEEKII0PCgBBCCNHKSRgQzZJSikAgQE1NzV7LNR/Mc/1+PyUlJdTU1FBZWbnX810uF16vt7GLLYQQx6TmN/xctHrq162v//vf/2KxWAgGg5x//vmcfvrpDR73+3n9ez7/5ZdfZteuXYwZM4Zly5Zx//33h5Z7Bvj73//OsGHDOOmkk/Y71W9ft//+tt+fWwaNCSGORRIGRLOTk5PD008/zfPPP0+XLl1wuVwUFxdTV1fH//73P7Kzsxk0aBCnnXYaOTk5rF27lry8PHw+HxMmTCArK4uPP/6YCy64gC5duuB2uzGZTJSVlfHBBx9gsVjYtWsXgwYNIhgM8sMPP7BkyRKSk5O56KKLUErx9ddf4/V6ycnJ4cILL6RTp06Ul5czY8YMSkpKGDJkCCNGjGDt2rXMmzePiIgILr74YhISEiQQCCGOOdJNIJqdJUuWkJmZSWZmJjabjfj4eLp3784777zD5s2bOeecc3j33XdZunQpW7du5a9//SuDBg1C13Xeffdd2rZtS3x8PIMGDcJut/Ppp5/i8/l4/vnnsdvtDBgwgFWrVgGwfPly3n33XUaPHk11dTVvvfUWVVVVPPPMMyQlJZGZmckLL7yAz+fj8ccfx2w2M3bsWBISEti9ezfPPfccI0aMICEhgeeff77Z7zAphGiZJAyIZsftdod2+qtX33Uwfvx4+vTpw9lnn82SJUsAGDp0KAMHDuTUU09l9+7dJCcnExcXR9++fYmKigKMPRKysrIYN24cgwcPZujQoQB89913+P1+vvvuO8rLy/nll18IBoN07tyZESNGcPLJJ1NdXU1paSm7du3ikksuoUePHvTp04eVK1dSXV3NkiVL2LlzJ+vWrWu2SykLIVo26SYQzU6vXr34+uuvqaurw+FwAEZlbrPZQosxuVyu0H31YwH21Ydfz2w2YzKZ8Hq96Loe2gQrPDyczp07c/LJJwMQGRmJyWTaazGg+o2ivF4vERERAISFhZGWlhZ67pgxY5rtdsRCiJZNwoBodvr370+fPn24//77GThwIHl5ebRv355x48bx6quvcuKJJ/LNN98wdepUdu3aFaqoTSZT6Oc9BwtaLBbsdjtnnnkmU6dOpUePHqxfv57x48dz7rnn8vjjj7N8+XIAkpOTGTBgQIOAYbFYiIqK4rTTTuOJJ55gwIABREZGMmLECL744gt++OEHnE4nFouF7t27H+VXSwgh/pisQCiaJb/fz9atW8nJySEhIYHMzEzsdjtZWVnk5OTQo0cPUlNTcblc1NTUkJKSQl1dHaWlpaSlpZGdnU27du3QNI3du3fToUMHAoEAq1evRilFUlIS8fHxREZGUlpayrp167BYLPTs2ZPIyEhyc3PJyMggGAyGnh8MBtmwYQMlJSV069aNdu3aUV1dzdq1a/H7/XTv3p2UlBQZQCiEOOZIGBBCCCFaORlAKIQQQrRyEgaEEEKIVk7CgBBCCNHKSRgQQgghWjkJA0IIIUQrJ2FACCGEaOUkDAghhBCtnIQBIYQQopWTMCCEEEK0chIGhBBCiFZOwoAQQgjRykkYEEIIIVo5CQNCCCFEKydhQAghhGjlJAwIIYQQrZyEASGEEKKVkzAghBBCtHISBoQQQohWTsKAEEII0cr9P+UYaL5QzNyyAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ENJ7/+Eaeft5BxWs3oM97Bnb8CJ5aIzCQP1YhhDgo7733HrNnzz7gesXFxcycOfMInJE4Urp9NwE6lFVGcdeHN/HOxp385ry3OD37RRL0ZlREGiqmN/Q4HiJ7gN0NKJC+NyGEaKWqqoq6ujrefPNN3G43p512Gk1NTXz55ZeUl5czdOhQhg0bxrx583jppZdQSjF+/PjgpFmi++r2wYDJBLGZNVTlBVi8JoVrNl9Pv9N+YPqVaxmf4CCzuRn3gr+hvPUoZywkD4GoXhCRBrZw0DTQzKA0MNtAs0iwIITochq9fkprPYfdNB/ptOK2m/fb/TB37lxuuOEGZs2ahdlsZtCgQZhMJjIzM3nuuee45557MJvNmEwm7Hb7XtNmi+7rqAgGJl5WQmp4GXNnJLB0qZM1H0zigSXpjLriI/qP3U5MfBwD3aMYYY4gubYc65ZvobYQ5fOAHjBeACYLxOdAzzHgTgZnrPEzkwVpURBCdKa8igZe+X4rgcMMBk7rn8jJ2fH7XX766aczadIk6urqWL9+PccffzxlZWUsW7aM8vJy1q1bR3Z2Nj179mTKlCkSDBwlun0wANA/NZzYjFrumhbPX/+q+NvfNCrzM/np6ZtJL67jwhuL2Glawj9Ll+ANeIl3x5HV42QywnsSbY8i2haJTbOgNdWg8heh1n1kJCP6mkAzGUFB6kgIT4CIHmAPB7PDCBJaWhVAggUhRIfJinfxxC8GHvZ+DvQx5XA4UEphNpsJBAK8/vrr1NfXM23aNDweT7C8siQPHl2OimAgNsxGRX0zsbHw0EM6p56quPtuxYIF8N+Xw1kyP5ybbsrkhjPOw+yqpLC+kPWV6/k87xuqPFU0+hqxmqy4rW56R/Ymuf9kkp0JJFrd2HQwVe1A7VyCKl0HtcXgbTASE5UCa5jxCouH6F5gtkNkGoTFgi0CrE6kVUEIcbiUUpg6+GNk366DltLvFRUVrFmzhsWLFzN06FAiIiIoLS1l5syZTJo0iZiYmI49MdHhlN7Nw7tXXnmFsIR0/lcQxnEZ0VwyqicJbjuVlfDss/D881BVZaQGZGbCOecYrwEDdMLCQCdAo6+Rem89ZY1lbK7aTGFDIQV1BVR7qrFqVsJt4WREZBDniCPGFkWcPZJwkx2nrrD4mlCeOlRtIVRuA5/H+NpUDf5mcMYYOQpRPY2uB2WC8ERwxRvfa7vGikqwIMRR56GHHuLKK6+kR48eh7ytruuUlpbicrlwOp0dcHatbd++HU3TSEtLo7i4mLq6OhITE5kzZw6BQICMjAxiY2NJSkpi3bp15OXlMXr0aKKioo7I+R3rAoEABQUFJCUlhbzOwFERDPTp2w93en/+t3Qnx/eO5bT+CSil8Pth4UJ45hmYMwdqdhUqdDigTx8YOxbGjYMhQyApyfi50f2lo6PT4G2g0ddIWWMZW6q3UN5YTlljGRVNFTT6GtHRcVlcRNmiyIzKJDMyk2RXMuGWMJSuo5rroWoHVO+A8s276iD4oTofUEYXg31X60FcP2PUQ3gSmK27uh52BQgSKAjRLXW3YEB0bR0ZDBwV3QRmk8aQtChKaz28vSiPET2jiA23YTLBmDEwciSsWgVvvw0ffwybN8OKFcbr73+HiAhITYV+/WDQIBg4UJGRoYiPd+F2u4iOjKNfdL/g8QIE8AV8NHgbqGyqpKKpgnUV65i5cSbljeXE2GNIj0gn3Z1OjCOGxPQxuLJOxaIZMy0qXxM0N4Cv0WhBaKyC4lXw1cNG94PJCiYzuFMgLA6srl2jHazGKIiwWLCEGf9uYbIar5YgQinJZRBCCHFQjopgoMXYzDiW76hi/uZyzhychFLK6Na3wrBhMHQo3H03LFsGX34J8+bB+vVGN8KqVcbr3XeN1gGHA6KijBaDlBRISVGkpRlBQ3Kyifh4E1FRNuLCo0iNzmBY/HBQOvXeerbXbGdHzQ7WlK+hvLGc8qZyFIp4ZzzpEenE2mNJCEsg3BpOdFQP7LF9MPU8HjV8Ovg8KE8d+Hd1NzRWQnM9BLxQXwsFy6Cx2ggkAv7dF68HjJv/nsMkYzKNwMERbbQ+mB1GTkNYjNFNoZmRfAYhhBBHVTDgsJo4fWASj328Fo/Pz/nDU4MJMWrXPS86GiZNgokTweOBggJYtw6WL4eVK2HDBti50+hS2LkT8vNh0aLdx1DKGM5ot4PLZQQM8fGQmKhIS1P06BFOjx4DSE7uT04cuHuA2eahSa+jsH4n22u2s61mG4uKF1HbXEuDtwGzZsZlceG2uYmyRZEVlUVmZCYRPcdg0Sxou57wg7fsluGQwR4eHfxeI18h0Gws89RByTqj5aF0vTEywttgrFNfauzNHmEkPUakGbkNcf3AEWkEEy2vlosWQghx1DqqggGA7CQ3D57Zn0dnr2VIWiQZcS401VaWrHFDz8gwXlOmGPfWhgYoLzcCgS1bYNMmyMsz/l1cbCyrqYGmJigpgaIiI5jYk6aB1apwOluCBTupqXZ69Iild+/B9OqlMyoFYtICWJ0e/KYGqpsrqfPWUt5YzpLiJby/6X38uh+7yU6yK5leEb3o6e5JvDMet9WN1WRF0RLoKKMlwOba+0Ti+rZdjtnfDHXFRsnm8k1QvRMKl8OiV3YlNWpGl4M9EhIHQGRPcEaDxQEWp3EcS9juX6QQ4qgQCBg1Vw5UO6BlXgKj9VU+A44GR10wYNIU/RLDOX94Ko/OXktihJ0HzuyPy/bzl9rScuByGa+ePY18g5Z7qd8Pzc1QX290K5SVQWGh0XLQ0oJQUGD8rLISamuhuhoqKowchb3O0aSw2yEiwkRCgpOUFCdpabGkpUFaGgxIPplx8T5srgaw1VLcvIO8+q2sKF1BZVMlft1PuDWcKFsUKeEp9AjvQYorhRhHDDaTbe8goa03qtlmlGcGSOhvfNV1o/WguR4CPuP7mgKjVSH3M6NVwdtkdF/4vRCRaiQ7toyGcCWCKw5sbqNrwhoGJhtY7EhXhBDdwyeffILVauXUU0/92fUKCwt5++23uemmm9oVDGzYsAGv10v//v0lmOgijrpgAIyb4JmDkzkhM5Y/frqegqpG+iSEt3Nfxlez2Xg5nRAXB1lZxs9bggVdB5/PaDGorjZaEAoKjCBh+3bYscN4FRYay+rqjO8LCowchj2PZzYrbDYL4eERREdHkJCQSlLS8aSkQFKyD3dsHbaoSjRXOeVNO9hU/CMVvkJ8uodIewTpEemkhacFWxFcVhdOszPYmtDmm0+pXU/+jt0/i0o3RjgE6Uag0FQDFZuNmgt6wPh5zU4oWWvkODRVGzkOgYARIMRlQ2yWkacQnmQkR5odu/Ib5INAiK5i586d+P1+rFYrLpeLoUOHomka+fn5rFmzhpSUFHJycmhsbGTdunXous7GjRtRSrFp0yYGDx6Mx+Nh/fr1DB06lPj4eAKBQHAY4oABA0hKSuK9996jsrKSiy66iIEDB2KxWDr70o95R2UwAGAxacSH2xjdK5qPVxaSOcmFpoX+xtNyL2tJVLRawe02nvCHDDGWtUye6PPtblkoLDSChC1bYNs2o3WhJVCoqYHGRqMLorAQ1qyB3RkDFjQtCrM5CocjA5drJLGxOjFxfiLi6yiMLmGVewu6eyu4fsIWXofV2YgzTCfWFUFqRDI93T2Id8YT64gl0haJzWTbPdJh35vzXv9WRvdBWKzx2peuYwQMASMY8DYaQytL1sH2+VBbCJ4aYz2zHeL7QeJgiOtjjJrQzBIgCLE/fq/Rcne4zHajdXA/77NPPvkEl8vFF198wTXXXENsbCxPPPEEJ598Mh988AFnnXUWffr0MU7J7+eOO+4gOzublJQUnn32WcaNG0dYWBjvvPMO//jHP/jggw/47rvvGDlyJPfccw8PPPAARUVFlJSUsGbNGnJyciQY6AKO2mAAjBvbGYOSufu9lfy4tYL+ye5dCyDMasbUAcFB2+exd7AQFQW9esHxezx079sNUVJiBAJ5ebtzFoqKjO6JigpjvYaGlkRHhfFfGbnrlYVmAosFbDYdZ7gPh7seS2QpKrIALSofW8xanDGVRMR4iI6G3gnxZMWnEGazkRaeRnpEOmGWsGC3w0E15SmFETBoxtO/xWHkGiQNNpbrAeMDTfdDbZERJOQthOVvGi0OJovRbRGTaSQ0smt4pCvBaGEw24ycBklsFMeislz4/um9RxG1x4BfQPZZ+1182mmnMW3aNFwuF8uWLaOuro6srCx69+6Nrut88MEH3HbbbcH1LRYLV1xxBT169ODzzz/noosuIjExkV/96leUl5fz9ttvc8EFF5CSksKqVatYsGABI0aMoK6ujssuu0y6CbqIozoYAAizmbh2XG/++tVGzLtu/nUeH5eO7snIXtE4rCbsZq1T/iD3POT+uiHAeJAOBIyAoanJCAIqKqC0dHdXRF6e8bWwEEpLFdXVxnoN9YqaaitgBaKAPruOraO0ACaLD83WiBZWhTWmmIjUYpypPxDX8wMS0xrplRxOr9hEsmP60dPdkyh7FOHW8IMPEPa80D0rLsb0Nl79phqtCJ46I6GxYJkxpLJwxa4mFf/uEtCa2QgInNFG+eekwZA81MhL0CwSJIijW1w/OPtvh78f7ec/9t1uN0oprFYrPp+PhoYGamtrWWM0UXL22Wfv9d63WCzB+QycTmdwJkNN0/D5fDQ2NrJ9+3aqqqrIzMxkyJAhrFix4vCvQ4TUUR8MKKXon+zm+YuH0pJXv66whhe/3cz/lu0kIcLGA2f07/Ca34ejZTijybS7GyIxcffylryFQAC8XiNgqKkxWhhKS40AoSVnoSVgKCtT1NaaaGgw4a21EaiOpLEgnepVxs5yzX6sYY3YY8pwpeRjTV1PXMZcEtKryOkVRd+ENDIje5MYlkicMw6n2Yl514fMIQVWalfXgzPaeEW2UalN9xtdDt5GaK4zKjnWFcPmb2DRv4zRD7Zwo55CVDrE9gG720hidMYYIyCC3Q+SzCi6Kc0EmuPA64XYqaeeyjvvvMPIkSPx+XxYrdYDb7SL1WrllFNOwe/3c8IJJ1BeXk5MTAyxsbEsXLiQpUuXMmjQIOkm6AKO+mAAjJuTzbK7dOOQtEj+dskwmrx+7py1krWFNcSEtf4DN2mKmDArZlPXnqKz5d7WEjDY7RAZCXtWQN13VERDw+5REUVFRv7Chg2wYYNi2zYoKTHTUBtOU3U4VVt6AWPZZtKxOBv5Lq6I8F6biO+7mvisL4lJriEu2kKiO4Z0dzrpEekkhSXhMDtwmB3YzXZMynQIXQ37/sxs3Oxt4UA8RGcYF9RvqtGi4PcatRPqS6FiC2z+yuhbba4zliuT0WVhcxlPV7F9jKDBbAfbrlEP0qogBGPGjAmWue3fvz/JyckMHjwYk8nEV199FRxpEBsby0UXXYTJZGLatGlERERgMpm4/PLLcbvdmM1mLr/8csLDw7nuuuv45JNPmD17NrGxsfTv359x48bR0NDAunXr6N+/vwQDXcBRMTdBTk4OY8aMOeRtdV3nwxUFfLWuhLbSB6obvZySk8DYzLjDOsfoMCsue9eOu1r+Cnw+Y1hkYSHk5hqFmFat2rsYk98P7Gpnsdl03DEeEnvWkNSnmKjeW3GlbccWU4ItzIOufLgsLo5PPp6+0X1JDkvGZj6EPIT2XggYOQq+JqNFwVNjlH0uWWu86kp25S8EjCAhbFeQYbIYE0rF9TOKMpltSGuCaK+jZW6CfW8Th/re3XN7yRFoP5mboIMopThrcDJnDEpuc3l+ZQMvfL2JpTuq2n2MhmYf8eF2Ljuu537XcTvMxLlsnfomaTm0xWJUaYyOhv79jRkeAwGjJaG4GNauNSoyLlqkWL8eiosVZYUOSgscrFqQgFIDcTohPlGnT58AA4d4cPfNY2HFj3xh+wEsjbhtLmIcMaSFpzE8YTiJYYlYNWtorn/PfSjTHlNM7xr9kDJsdy5CwG/kItSXGjUVqnYYFRo3fwOLXwV0o5shto8RKET2NLof7JFG0NDS9yofbuIod7jvTQkAur5jOhiAn58jvEe0kyfPG8ThNJ3Ue3w8//VGXvl+S5vLdR2Ka5v47fjeByyM1CLcbiEl0tEhQyX31ZKvEB5uvHr3hjPPNFoQqqpg61aj9WDJEuPrli2KigrYulmxdbPG55+aMZn64nb3JbWHn97Z9fQaUE50vzLyYrcyb8ffUSYfQ+OHMCZ5DPHO+EPrVmjvRSnz7oRER5Rxw4c9+lOajW6Gqh1QvsVIaFz/sdHCEPDvSmSMgZ5jICbL6HawOCQwEEJ0S8d8MPBzWiY6OhzhdjN3T8ne/wo6fL+xlI9WFB70PsvqPOQkuxmbGYu215MwpEU5iXJaOuxGumcLQlyc8Ro5Eq66ypjrobx896yQixcbAcL27YqaGli1wsyqFRFABDZbBnFxI8nI/AWp2SV8nLqQDxL/RVR8A5HhNnq4UxkSP4Ts6Gyi7dG7jn0EbrTBKlO23Tf85KF71FDw7cpHqDemot72A+R+bsxCGZFqzO2QMAAScsAZKxUYhRDdggQDHUwpxc/eBhSc1CeOk/ocfF5CvcfPx6sKmL1y7wCisdlPQ7OPi0b12CMHYvfR1d7/JMJuoVdcGGbt8PrvWza121tmeIQTTzTun42NRv7BunVGcLB4sTFTZFGRUR8hP98C36agab8gLPwcElMbyRpYS2n2ZpamLsMX+Q6DU3sxvudJ9I7ojdvm7rh8gwNe5K6RDw6r0ZrgToG00UbeQXU+1BVBXSkUrYBV7xg5CeGJRjARn2PMFWG27/1LE+Io0JITcDDvy0NZVxw5Egx0AYf6pnDZzVwwIq3Vz/0BnfeW7eS73NK9F+h7fQl+V1zjwW7RmNA3Hrul7WQUBWTEu0iOsB/SebYUWgoLg8xM43XGGUbyYXW1UXVx5Uoj/2DZMti8WVFZaWLjGhcb17hQKhGH4wTc8TV8nbyWF3osIa3f5wzp72RUVg+GpeSQEBaH2+rGrJk754Nlz/oJUT2NF+yundBUa5RtLlgOi/9tJDDGZkL6iUZZZmeUMRxSqi6Kbs7j8fDqq69yxRVXYLfbf3bdJUuWUFtby4QJEw75OLqus2bNGtLS0oiIiGjv6Yo2SDDQTbV18zObFL8cnnrQ+/D6dZbnVbFoWwU+f9uZEU0+P28vyuPxcwcQ4Ti87gdj3gWIiTFew4bB9OlG90JRkVF2eeFC+PFHWLdOGbNCbouAbcfB/OPYpvmZ76jjldhCIjO2kJjzFQOHeDlz5EBO6j2E2LCozmk1aOtCTVYIizFeqSON1oO6EiheDVu/h4YyYw4HkxXST4Ccc4zRCy3bC9EJamtr8Xq9FBcX43Q6SUtLQylFRUUFeXl5JCUlER8f3+o95vV6mTNnDpMnT6a2tpaMjAzCwoyZTVtKD/fs2ZOIiAi2bdtGcXExJ554IhUVFTQ3N1NdXU1mZiYlJSXU1taSlZWFxWLB5/Oxfft2mpqa6N27NwBPP/00v/zlLxk+fHib5yLaR4KBo8yhvDGsZsXI9ChGpkftdx1dh7d+2sG9/1vNRaPSGNYjCqc1NMl9e3YvpKcbM0VOmWIkJ5aXG0Mbf/oJFi9WrFkD+flmamsjadweSeP2fhR+o7Pc6uGd6DJ69i1iykk+Jp8YR/8cI5fBYukiTZFKGa0H7iSj2yDzZEA3khSr8mHNe/D+byEmw5gYKmGAUXypK5y76DICegBfwHfY+zEpE5pqu+rqzJkz+fjjjxk9ejSLFi3izjvvxO1288ADDzBo0CBWrFjBnXfeyZAhQ1ptX15ezssvv4zJZKK2tpannnqKuXPn8tZbb5GVlUVubi5/+MMfguuXlpZy6aWXMn78eAoKCtA0jZSUFLZv387o0aOZPn06L774Ilu3biU8PByv18u1117L+vXr+eCDD6iqquLiiy8+7N+HMEgwcIw70M1SKbhkdA+G9Yjk3SX5vPXjDganRRIfbiM7yU1WvAvTYeYc7HksMG7iiYnG68QTdw9tLCgw8g0WLYKfflK7Wg8cNBWlsaEINnyn84IFYmMhJ8eYgnrMGBgwAOLjjf3ueZxOETy4MvIHYjPhpNugoRIKlkLhcmOuhtRRMPhCYwInZZLAQLC5ajOvrHqFgB44rP2cln4ak3pManNZc3Mzo0eP5rbbbuOdd95hwYIF1NfXM2XKFC677DI+++wz3nrrLYa0zMK2B4fDwQ033EBUVBRXXHEFFRUVvPrqq0ybNo3MzEz++9//8vXXXwcrGOq6jsPh4JZbbqGoqIjrr7+eP//5z+zYsYM//elPnH766XzxxRc88cQT2Gw27r//fjweD8OGDePqq69u8xxE+0kwIA5IU4rsJDf3T82huLaJJdsrqahv5p9zt+C0mjh/eCoDUyMwqdA30e85tLFvX+jTB846a3frwcaNRnDw44+werUiL2/3bI9ffWV0S8TGQna2MTHUCSfsDg5stt3H6FRKM7oTsk4xWg0aK2HtB/DxbUZNgxFXQPIQCQqOcenudO4cdSeHNdYZcFh+vqRxXFwcSinCwsLIz8+nsrKSoUOHAhAfH09NTQ26rrd6rzudTlwuFyaTCZPJRHNzM6WlpcyZM4eFCxfi9/tJTU2lpKQkuI3b7cZms2Gz2YiJicFqtWKz2fD5fNTX11NSUsLMmTPRNI2srKxOL750NJNgQByUlmGWSREOzhjkQNd1LhyZxvIdVbyxcDtx4TauPjGD6DbKOrdsH5rzML7u2XowdqzRelBXZ8y/sGQJ/PCDESRs3WoUSyoqgm++MYKD6GhjIqiRI40AYfBgSE0Fh2N34mOnUcqYo2H4dBj4SyheBT++ZAxbHPVrcCUawYMEBccci8lCtCm6w4+z73t15MiRfPrpp+Tk5PDRRx8xfPjwg3o/W61WTjjhBNLT0zn11FOprq4mJiZmr2Dg5yQkJJCTk8Npp51G7969KS0tJS4ujvDwcDZs2LDf/AXRPhIMiHZRSmEzmxjVK5rBaZF8uLyAe99fzYDkiL1KO7vsZk7JSSDRfWijEQ7tXIzWg4gIGDjQePL/1a+MroU9g4OffoItW4z5GEpKjJ/99a/GxE+9ehkJjccdZ3zt1cv4udZZ912ljDLJacdB0hBY+Q58epcx+mDwRZA2SoICEXIDBw7EbDZuC7169SIsLIzjjz+e6upqnnvuOdLT07n00ktbvZetVitTp07FYrGgaRqnnXYaTqeTG2+8kTfeeINnnnkGt9vN9OnTyczMJCEhgbCwMCZPnoymabhcLk477TSUUrjdbk499VRcLhf3338/M2bM4IMPPqBHjx707t2bq666infffdd4ILnwws74NR2Vjum5CUToBHSdDUW1FFQ17vXzgqomvt9YSla8iyE9IpnQNx7TrmjhSEX0um68GhqMqZ5XrIAFC2DRIp3cjVBZuXuKeKUUDofRUjB8OIwbZwQIvXsbwySNdY7Iabe+CG8DFK2Cn142Wg/6TIb4bCMpUQobdUlH09wELV0DgUCA/Px8fL7dyYwxMTFERES0+Z7ec1to37wGLdsf660AMjeB6PJa8gqyk9x7/VzXdSYPSGR9UQ2fririy7XFRDmtDE6L5NSchGBgAB0XHLQ0/btcRu5Av35w4YXGkMbCQp2Fy+t47ZMNLFtsoXJHEk010eTmmsnNVbz99u5aCWPHwqRJMGIEJCQYXQ5H7LNJKWOOhbTRkDgI8hfB1u+MORTi+0G/MyGuj5GUeIx/YIrQ2/NG7PF4+OCDD6isrAwunzx5MqNGjTrgtod7bNFxJBgQHUopRVy4jVhXLCPTo8ktrqXR6+f9ZTv5dkMJLpuZSKeVC0emER9ua3P70J+T8dVuV/TqpUhPD+ecMweyrSKfb3N/4P/mLSOsYCJV6waxY30UxcWK5csVy5fD3/9uBAIjR8Jpp8HEiZCRcQQDA6XA6oSMcdDrJPDUwsYv4KeXjMmTxt1pFDSSD0/RQVqa/8XRRYIBcUQopbBbTAxKjUTXdQalRLK1rA5fwOheuO/91cSH24L3ME0pTugdy4R+8VhMHftkoJTCYbaTHZ9J37gMJvUfwOfbvmBD2Qec5O1FUu2p5C/LYt5cE+vWKQoL4YMP4MMPISrKGL548cVGq0FcnJFncEQoZcyiOOA86H8OrP4fzL7JaCXofw5YXRIUCCEOigQD4ohTSuGwmshJNiruDUyJ4KQ+cVTWNwfX8fgC/G/ZTr7ZUMK14zLoGROGouPzDDSl0SeqD1mRWdR561hUtIg5218nLiOaN2+7jMbSBL6fq/j8c2M4Y1ERzJ4Nn35qFE465xy45BIjidEoetShp2tomYVx4PnGLIpL/gMf3gjH/xZShiP5BEKIA5FgQHQ6pRQJbjsJ7t01zXVdJyfZzQ+byvjDJ+sZ2iOSq07otVeOQVtCVwBJEW4NZ0LaBE5IPoE5O+bwl5V/4IyMM7jq6olcdZWJggLFV1/BO+/A/PnGbI1PPw0vv2wkHl55pdGNEB5+BIMCdzKMv8vIKfjheUgaBMf/zpheWYh2yMvLw2azERYWRl5eHn379v3Z99iOHTtwOBzExR385GuHy+fzkZeXB0BaWlpwRAQYnyVer5cdO3ZgNptJS0tD0zSqq6upq6sLrhcVFRUsobw/zc3NBAKBVvMv6LpObW0tO3fuJDExkcjIyL1+R7quU1dXR35+PgkJCURFRaGU2uu8UlNTMZlM6LpOSUkJVVVV9OjRA7u940Zi7UmCAdElKaWwmBTj+sQxKDWCpz7fwC3vrMBs2v+bIqDrTOwbzzlDU0JY10BhM9uY0msKwxKG8fLKl1lUtIgrB1xJWloi06crLrkE1q41goKZM43aBh99BJ99ZgxTvOoqOPdcYz6GDn9Pt5Q+ThttzJQ4908w988w5nqjgJG0EIj9aBlY5vV6UUphNhsTgH3wwQekpKSQk5PD888/zwsvvNBquz23ee+99+jduzdnnHEGgUAAn8+HxbJ7XpOW9c1mM9quPjWv1wsQXK9lHZPJFFxn3+1a9hcIBHjllVdYtWoVYAyPvOaaa4Lb+Xw+Hn30URoaGmhubmbgwIH8+te/Zt68ecyfP59AIMDXX3/NH//4RyZOnLjXdfl8PnRdx7KrfOnXX39Nfn4+V1555V6JjcXFxdx111307NmTzZs389hjj5Genh7cV3l5OXfccQepqals3ryZBx98kN69e/PXv/6VHTt20NTUxNixY7nssstYuHAhL774ImlpadTX1/PEE08ckdEkEgyILk0pRZTTyv1Tc6hp8vFz5dfqPX7+9Pl6AjqcnJOAY9dMjKHIOVBKkehM5K5RdzE3fy5P/PQEZ2Scwbi0cVitVoYMUQwZAjffbAQBr766e9KlRYuMegbXXQcXXWQUPToiQYEtHE66A5a9Dh/cACfcCKkjjPoEolupqTGKZvn9h78vkwnGjzfqcuzrk08+4YsvvqC5uZkzzjiDKVOmEAgEgsP7AoG9SyF7vV7efPNNfvrpJ2w2G7/97W+D61ZWVvLMM89QXV2N2+3mtttuQ9M0/vSnP1FTU0NERAS33347X375JV9//TVms5kLL7yQkSNH8p///IeVK1ditVq5/vrriYmJ2Wu7O+64A7fbGLlUWVnJp59+yquvvgrAFVdcwQUXXEB0tFGgaefOnaxatYoZM2bQ1NTEpZdeyi9+8QumTp3K1KlTKSgoYNWqVcEqiy0WLVrEjBkz8Hg8jBo1iosuuohZs2axfv16tm3bFjwHXdeZPXs2gwYN4uabb+a1117jnXfe4fbbbw9+7nzxxRf07t2bu+++m1mzZvHWW29x9dVXM2/ePF5//XVqa2u57rrrOOuss3j11Vf5zW9+w+jRo7nhhhtYsmQJJ5544uH/xx+ABAOiy1NK4bSZcdp+/s9V13UeOrM/7yzO4/Z3d7ci9EkI56zByfSMCUNT7c87UEphNVmZ1GMS/aL78db6t/h+5/dc3O9i+kX3Q1Ma8fEwbRqcf75R1Oif/4TPP4fVq+HGG+GVV+DWW43cgrCwDg4KWhIMj/uNMfLgu6eg7+lGboHJ0oEHFqGWl2f8Xe3Rqt1uTqfxtzl4cOtlo0aNYvjw4ZSWlvLoo48e8Ca0ePFivv32W55++mlMJlNw3gGAsLAwrrvuOjRN49VXX+WTTz6hZ8+elJWV8cQTTwSfuGfMmMEDDzxAeno6mqbx/fffs3btWh599FGWLl3KCy+8wDnnnLPXdns+KZeXl2Oz2YLBgc1mo7y8PBgMWCwWvF4v9fX11NXVsWPHDkpLS4mNjUXXdb744gtGjx5NZGTkXteWlZXFHXfcQWNjI/feey8TJkxgwoQJ9OzZkxtvvBGXyxVcd+PGjYwbNw6lFP369WP+/Pl71VbIzc1l4MCBwbLKs2fPpqCggMjISJxOZ7BYU0lJSXCGR03TyMzMZNOmTRIMCHEolFIkRti5YVIWdU0+/AEdrz/Awi3lPPNlLokRdi4e1WOvIYx7VDnAZtEwH0TOgVKKFFcKtwy/heUly3ll1SuckHwCk3tNxml2GsGLE04+2cgdWLIEXnjBGH2wfLmRS/Dqq3DvvXDSScaTWscGBZoxE+LUp2HOg1BXDCN/bdQtkG6DbsFsNoa0hocf/r7s9t2Tdu2p5Qn3hx9+wOFwsH37dhobG1uvuId169YxYsQIoqOjW71viouLefzxx7FYLOTn52M2m5k8eTJ2u53f//73DBs2jGuuuYazzz6bJ598kri4OK699lpWrVrF2rVreeihh/B4PDQ1NdGnTx9sNltwu2uvvTaYF7DvcfedNyExMZFzzz2Xu+66K1jAqaVgj8fj4ZNPPuGBBx5otY8FCxYwc+ZMXC4XW7ZsobKyEpvNht1uDwYeLTRNC7aa6Loe7KJoa3kgEEAphaZpwa6ZltaUPbtEWtbdd18dRYIBcVRRSqEAt2P3p92Zg5M5JSeR7zeW8pcvcwkEdnU1KIK9DjpgNWsMTYvk+N4xJOynfLLTagoGDGZlZnjCcHpH9ua1Na/x2MLHuGnYTcQ744NzOVitRgXD4cONboM//QnmzIGvvza6Dy67DG6/3RiJ0OGtBGGxcOqjsOBFmPsUTLjXaCGQgKDL693beJoPRb1YpYwhsftqbGzkww8/5IUXXsBisXDxxRcHb0r7k5KSwmeffYbP52t10/rmm2/Iysrixhtv5MUXX6SpqYnw8HCefPJJqqurufXWW1m1ahXnn38+5557LrNnz+af//wnY8eO5fjjj+f3v/998Cbqcrn405/+tNd2o0ePBiA2NhaPx0NZWRlgJPnFxsZSUlJCIBAgISGByy+/nIsuuoidO3dSXFxMcnIyAKtWrcJms7VKitR1nf/7v//jpptuIisri2nTpgFgNpuDSYR75gzk5OSwcuVKTj/9dJYvX052dja6rpObm0t6ejr9+/dn+fLlnHvuuaxevZq+ffuSmppKVVUV1dXVVFdXo2kaCQkJpKamkpubS3x8POvXrz8irQIgwYA4BrQMZTwlJ4HxfePxBVpPAavrUFbn4aetFfxr3lbqmnx7NhsAxmRIMS4rV57Qiwjnno9WTi7pcy3f5n3DIwv+wKU5FzIyYSRmzbxXUHDiiUaxok8/hccfJ1jE6PPPjYDg0kuNKokddm9WCpwxMO52+OpR+OwuGDbNmPtAAoIuzWw2ZtrsSHa7naFDh/LYY48RHh5OdHQ0JpOJiIgIwsLCsFqtxMbG7rXNiSeeyHfffcett96KzWbjyiuvDK7fq1cvHn30UR544AHKy8sZPnw4a9as4ZVXXiE8PJywsDBSUlJ4/PHH8fl8VFRUcNZZZzF+/HiWLVvG448/jslkYuDAgeTk5PDvf/87uF1GRkbwHCIjI7nooou47777ALj44ouJiIjgrbfeorGxkSuvvJKXX36ZvLw8KioquP766wkLC0PXdX744QfOP//8YIJgC6UUJ554In/9619JSEjAbDZjtVoZNGgQs2bN4qGHHuK2227D7XajlGLq1Kncd9993HbbbdTW1vLoo4/S1NTEH//4R/74xz9y8skn891333H77bdTXV3NQw89RFxcHGeccQZ33XUXXq+X6dOnExYWxjXXXMPTTz/N+++/T1JS0hGbqlnmJhBiD7quE9DB628dMAR0nR82lfHRikICbbxt/IEAeXXbKFFzOGNgT24c9hsibK3rteu6Mf3yP/5hdB8UFxsf9hMmwGOPGeWOO7RlUNfB3wzb5hkzIh53HfQaB1poa52L7jU3QUv2fFlZWXAqYrvdjtfrRdM0NE2jubl5r6Fuuq7j9/spKyvDZDIRHR0dbCUwm81UV1fj8XiC/fFms5mqqiqampqIjo7GbrfT0NBAVVUVTqczuJ7f76e8vByA6OhoNE1rtd2e76tAIEBFRcVe63s8HsCYRKnlGC2BSsuIhcbGRqxW615DEVu0XFfLFMtWqxVN02hqasLn8xEWFrZXs77H46GyspLIyMjg0MOGhgYcDgdKKZqbm6moqCAiIiL4s0AgQHl5OSaTKTjcsGUYYn19PTExMcFRHS3X2VFzE3RaMNCSbTpnzhysViuTJk3C5XLt9Ue2bt06Fi1ahNvtZuLEicEobE8SDIgjSdd1/AG9zTENAV2ntNbD8rxyPtv+Ec2WXB4aewdJYUltdjkEAkZi4WOPGfkEHg/ExsJttxkjD9zuDn5g13Wo2AzfPAFZp8CgC2SkQYh1p2BAdH0dGQx02jvf6/Vy//33U1lZyaZNm/jTn/6017CVvLw8br/9dqKjo1m7dm0wi1SIzqSUwmzSsLTxsplNpEY5mTowlbvGXk5z9RDun/skX+auZ3NJHdvL6/H4/MG/Y00zplz+73+NhMI+fYzple+9F375S1i5MjR9xD9zMRDdGyb/ETZ+Ces/6eADCiG6qk7LGcjPz6e4uJjp06fj8Xi47LLLqKqqIiYmBjCSWVwuF2PGjMHpdDJr1qy9Mi+F6KqUUqREOnnpvMv4Ji+VFxb9GVv9KSQ7+uKwmLhoVA+cVhNRTiuxLit2u+Kii+D44+Hhh+Htt+HLL2HqVHj0UaO8sdXaQa0ELYmFJz9k5BCYbZB5suQQdCH7TgEsjl0dee/rtGCgoqICt9sdHF9pMpmora0NBgM9evQgNjaW3/3ud1RUVHDzzTcH+2cCgQD/+c9/2LhxI2vWrCEnJ6ezLkOINhmVC82clj6JjIgevLD8Ba4aMJDyijhmLcnH6w9QXt/MtSdlkBhhJyXSQc+ein/8wxiSeO+9sH07/OY38NNP8NBDRgJZhwUEEalw6uPwxT0Q8EKfydJl0AU4nU6qqqqC2evi2NbY2LhX5cZQ6rRgwOl04vF4guUqA4EANtvu8d+LFi3C7/fzyiuvBMs7Tpw4EZvNhqZpnHfeecHqV0J0VUopsqKyuHbQtby08iWuHng1D589AF2Hz1YX8tGKArZXNPDb8ZkMSYvEZtO45BIYOtTIHfjiC3jpJVixwqhiOGxYByUXKgVRPWHyk/DZ3RCVAXF9pYWgEymlgsluBxrvL44NFoslWEwp1DotGEhNTaWpqYn169cHy1VGRUUxe/Zshg8fTiAQoKGhgaamJurq6vDvUYdTKRXMOt2zCpQQXZFSipyYHK4bfB3/WPEPrht8HdnR2UwZmMSUgUnM21TGmz9u5/uNpYzvG09OkpvsbBMzZsCf/wzPPgsLFsDZZ8Mf/mB0G7RVNCYEJ2q0EAybBgteMOoQhCdKQNCJjAJWTkkgFEEd1ULUacFAeHg4t99+O6+88gqapnH33XdjtVrZunUr/fr147jjjmPVqlU8/PDDaJrGXXfdtVepSyG6E6UU2dHZXDvoWv6x4h/cMPQGMiMzUUoxNjOW4T2j+N/Snby7OI9Ip4VbT+1LRITGgw8arQG33QZbthjdBps2wV13GWVlQ/65oBT0nmhUKfz8bjj9KSOnQAKCTiPdA+JI6NQ6Ay0TX+xZyWlffr8/OENVW+vI0ELRnei6zpLiJby57k2uH3o9GREZwbHFAM3+AHfNWsV143rTJ8G1axmsW2fMbfD110b54iuvhCefNCab6ZB7hR6A5TNgw8dwyiPGqAO5KR2ywxlaKMSR1KkZQkqp4BSVLTf7fV/7TlcpRHemlGJYwjAu6ncRf136V+YXzCeg7w6IrSaNif3iefWHrXywvID3l+3koxU7ccbXM2OGzrRpxui/V16Bq6+GkpIOGg2oNBhyMYy4Er5+HDw1HXAQIURXIenCQhxhmtIYlTiKW0fcyvub3uf9Te/jDxg5MUopJmXHMzojhtomL7VNXoprPTz+yTp+LCzkyWd8/P73OmYzzJoFV11lVDDssIAgYwLE9oH1s6UGgRBHMZmbQIhOoJQiLTyNe0bfwzNLnsFqsjKl1xQ0peG0mjl3aEpwXV3XOX1AIm8u3MHHKwsZNCWa06sj+PC1CD75ROPXv1b8618dNPRQaTDsV/DpHdBnCjjbmOFGCNHtScuAEJ1EKUWkLZKbht3ENzu+YVXZqjaLihhFjBzcPrkv903NIT7KwsizSzj9VxVYrfDJJ/Drq3UKiwOhL0qiFLiTocdxsPQ1CPhCu38hRJcgwYAQnUgpRbQ9mmsGXcO/Vv2L9RXr9xsQaEqREuXgF0NTuOeMvsx6MZYHHjCqE86eDZde4aWkTO+Y1vzh06FkLeQvlu4CIY5CEgwI0cmUUvSJ6sOvB/6av6/4O0tLlv7sE35LsqHdprj1VsXdd4PVovjucyu336aoqwvx/VopsLqMgGD5DKNCoRDiqCLBgBBdgFKKgbEDuWHoDfxnzX9YUbrioJr8bTa480646SYwmRRvval44AFjBsQQnyCkjjDmLlj5LgT8B95GCNFtSDAgRBehlCIzMpMbht7Av1f/m41VGw86IHjwQfj1r40WgRdfhOefB1+ou/c1C4y7HbZ+B5vmSHeBEEcRCQaE6EKUUmRFZnHlgCt5YdkLFDcUHzAgUAocDvjjH+Hcc8HrNWY7fP/9DugucMbCuDth+ZvQXB/CnQshOpMEA0J0MUopBscN5vRep/P62tfx6wduklcK3G547jk47jid2lqdm2+GpUs7ICCI7gVR6bD5a2kdEOIoIcGAEF2QUoqJPSZS11zHoqJFB9VdoBQkJ8Mzfw0QleAjP1/nhhs6oiiRguFXGK0D1Xmh3LEQopNIMCBEF2XVrFze/3LeXv82+XX5Bx0QjBiq8ZdnwOWChQvh9rv8bNhZT73HF5o6BEoZLQP9zoDV70nrgBBHAQkGhOiilFL0iujF+X3O56UVL9Hkbzqo7cwmxaUXmLn1VtA0ePMNxcV3FHHjjGXkVTaGLiDocxrsXAye2sPfnxCiU0kwIEQXppRiTPIYklxJfLDpAwJ64KC2M5sVt9yimDoVdL9i51cZRNYn8MQn66htCtEwg7BYmbdAiKOEBANCdHEmzcRl2ZexpHjJQdcfAAgPhz//GbKyFKUligVvpRKmO5m/uSxEZYsVjL4O1n8MldtCsD8hRGeRYECIbsBtdfOrnF8xM3cmHv/BVRRSCjIzjSGHTif8uFCR/10PZi7aSUV98+EHBEpBWBwMOA+WvCaFiIToxiQYEKIbUEqRHZNNUlgS7+a+e9DdBUrBmWfCtdeCritmv+2kYUs89/5vNf+cu4W1BTV4/Qe3r/0eoM9kY1RB2UbpLhCim5JgQIhuwqyZubz/5awoXbHfCY3a3M4Md98No0dDfb1i6cw0rhicQ2KEnVfmbeHPn284vJYCiwP6TYHVswAJBoTojiQYEKIbcVlcXNj3QmbmzjyoYkRgPLzHxhr5AzExsGG94h9/cTA5O5knfjGQ9Ngw7n5vJbOW5lPvaUdyoVLQexKUrJORBUJ0UxIMCNGNtFQn9Ot+fir66aCf5pWC446D224DkwlmzICZMxVWk4mLRqbxwBk5rC2o4d0lB1fPoBW7G2IyYaPMWSBEdyTBgBDdjEWz8KucXzErdxaNvsaD3s5kgt/+FiZNMmY1fPBB2LoVQJES5eTqEzOYm1vK5tL6dgQECkZeCWv/J60DQnRDEgwI0c20FCNKDU/lx8IfD+nGHR4OTzwB8fGweTM8/rgxsRFAYoSd6WPSeWnuZhqaD3FkgFIQkQpRGZD3o7QOCNHNSDAgRDekKY0ze5/J7C2zqfXWHlJ3wZAhcOutu7sLPv7YuHcrpRjTO4bkCAf/W7azfa0D2WfChk8lGBCim5FgQIhuKiMig8Fxg5m5YSb6IWTxaxpccw2MHQuNjfDQQ7snMzJpiqmDkvhhUxlzN5YyN7eUxdsr8B3M8EOlICEHGsqhanv7L0wIccRJMCBEN6UpjXOzzmVN+Rq2Vm89pCf5iAh45BHj66pV8Je/QCCwqwsiNoyJ/eJZvqOKpTsqeeaLXPIrDzI3weKEflNh1UxpHRCiG5FgQIhuzGVxcXbm2czaOOuQWgeUgjFjjBYCgH/+E376ybh/W0wa5w9P5cZJWfx+UhaTsuP5ZkMJgYO5uSsFmSdD0Qrw1LTzqoQQR5oEA0J0Y0opRiaOpKShhO012w+pdcBshptvhpwcqKoyWgoaGnbvt+V13rBUlu2o4os1RXj9gQMfwxEJ4clQvFZaB4ToJiQYEKKbs5vsnJZ+Gh9s+uCQWgcAEhPh3nvBaoWvvoL//a/1/TvCYeHO0/vx/cYyHv5oDTurDjQNstpVkXCmzFcgRDchwYAQ3ZxSihOST2Bn3U62VG05pNYBpeDss+GUU4whhk8+CSUlrfefHGHnwTP7MzYzlkc+Wssr87aSW7yfUQxKQY/jobkBdi6R1gEhugEJBoQ4CjjMDqb0msLsLbMPuXXA4YB77jGSCdesMfIHAvsMHlBKYTVrnNY/kZtP6UOkw8LTX2ygrG4/cxqYrDBsGqx6F5mvQIiuT4IBIY4CLbkD22u3U1BXcMitA6NGwWWXGQ/xf/875Oa2/UCvlCI7yc35w1M5NSeRl77bjC+wn9aBxIFQV2wMNRRCdGkSDAhxlAizhDE5fTLv5r57yK0DJhPcdBOkpUFhITzzDPh/prtfKcWZg5Np9geYtSS/7WmQrS6I6ycVCYXoBiQYEOIooZTixJQTyavNo7Sh9BC3hYwM+N3vjKJE//d/u4ca7o/FpPj9pCzWF9Xy9BcbqGn07t0ioRQMOBdWzQLvwc+hIIQ48iQYEOIo4jA7GBo/lLn5cw+5nLCmwRVXGEMNa2rgqaeMCY32RylFdJiVu6f0I8Ft58nP1tPk3aeFILYvhMVC4QppHRCiC5NgQIijiFKK09JPY17BPKo8VYe8fVwc3HKLUYPgs8+M4YY/dw9XSmEzm5h2XE9iXTb+NW8rjc3+3YGI0qD3JNjyTfsuSAhxREgwIMRRJs4Rx4iEEXyx7YtDbh1QCs47D447DpqajNaBuroDb2c2aVxzUgZef4Bn5+TuTipUClKGQcl6OITploUQR5YEA0IcZVpaBxYULqCm+dBLAoeHw+23g80G8+fvntXwQJxWE7+d0JuSWg87yht2L3BEg9kG9WWHfC5CiCNDggEhjkJxjjhyYnL4Zsc37WodOOUUmDDBKET07LNGDsGBt1NYTRoZcWHsqGjYfVzNBNEZUCLliYXoqiQYEOIopJTijIwz+C7/O2qbaw95e7vdmLfA4YAlS+CDDw7+Pp6d5GbepjK8/j26CtLHwtbvkQJEQnRNEgwIcZRKCkuiX3Q/vt/5fbtaB8aNM1oIfD544QWorj6Y7RRjM2PxeP3M27RHt0DSYKjaAfWHNuRRCHFkSDAgxFHs1PRT+TbvW5r8TYe8rdUKv/89OJ2wbBl8+OHBtQ7YzBpTByXz3YYSfC3FiGzhENcXilZJV4EQXZAEA0IcpZRS9HT3JM4Rx4qSFe1qHTjhBDj55N2tAwebOzCkRyT1zX6W51XtPm7yUKPegBCiy5FgQIijmEIxscdEvs3/9pBLFIPROnDjjUbuwLJlMHv2wT3Y280a5w5NYfbKQgI6RmQRnwPFa8DffOgXIoToUBIMCHEUU0qRHZNNcX0xZY2HPrSvpXVg4kSjdeDFFw+u7oBSimE9oiir87Czald9gcg0Y76C4jWHfB5CiI4lwYAQRzmn2cmwhGHML5h/yF0FYNQbuP56Y4TBokXw+ecH2Tpg0TguI4Zv15cYx1UmSD8B8hZK3oAQXYwEA0Ic5ZRSjEkew6KiRfj1n5mKcL/bw0knwdixRt2Bv/0NGhoOZjvF+L5xLNpegc+vGztKHQX5S6SrQIguRoIBIY4BaeFp+AI+dtbtbNf2DofROmC1woIF8N13B/dwHx9uR9ehuHbXaIaINDBZoGp7u85DCNExOi0Y0HWdpqYmFi9ezPLly/F6957+VNd1vF4vq1ev5vvvv6ekpKRdTZxCCLBoFkYkjGBhwcJ2vY+UgkmTYORIYybDv//952c0DB7XpDipTxz/XbCdivpmdM0EiYOgQGYxFKIr6bRgwO/388QTT/D+++/z+uuv8/e//32vDym/388zzzzD22+/zdq1a1m5cmVnnaoQ3Z5SitFJo1lSsgRvwNuufYSFwW9+Y8xo+PXX8OOPB76fK6WYOjAJm1njj5+uo9kXMCYuKljarnMQQnSMTgsGCgsLWblyJffccw/33HMPc+bMobZ2d9nU3Nxc1qxZw2WXXcYpp5zC+PHjUUp11ukK0e0lu5IJs4Sxumx1u1sHpkyBgQONnIF//MMYYXAgTquJ30/KQlOKdUU16DGZULNTZjEUogvptGCgpKSEyMhI7HY7brcbk8lEVVVVcPnGjRtZuXIlb731Fk888QT/+Mc/CASMamaBQIClS5cyZ84cNmzY0ElXIET3YlImJqdP5qsdX7Wr5gBAZCRccw1oGnz6KaxefeBtlFKYNMUZg5J45futlPsdYHFCTWG7zkEIEXqdFgxYLBZ8Ph+6rhMIBNB1HZPJFFxuNptJS0vjvvvu4+GHH+azzz6jsXH3k0RlZSXFxcXUHExJNCEESilyYnIoqCugvLG8nfuAc8+F3r2NuQr+8x/YFaMf8NhjMmMZnBrJZ2vLCMRKaWIhupJOCwZSUlKora2luLiYrVu3YrFYiI6OZunSpVRWVtK3b1+sViuNjY1UV1djsVjQNON0NU1j0qRJXHrppYwcObKzLkGIbsdlcTEkfki7aw4AxMfDpZca38+aBTt2HNx2mlJMHZTE/E1lfFzVk8COhcgshkJ0DZ0WDERHR3P55Zfz4IMP8uc//5nrr78em83Ge++9x86dO+nVqxdTp07lzjvvDC632+2ddbpCHDXGpozlp6Kf2lVzoMUllxhBQUEBzJx58A/4SRF2HjqrP5+XRFCwfRM0H0TBAiFEhzN31oGVUpxzzjmceuqpaJoWvNE/9NBDaJqGpmlMnz6dCy64AJPJhN1ulwRCIQ6TUopUVypNvibKG8tJCEtoxz4gIwPOOAP+/W944w349a+NfIKDOX5cuI0pI/qy9mOdhMp8zAl95b0tRCfr1KJDSinCwsJwOBwopVBKYTab9+oOcLlcweVCiMNnNVnJiclhacnSdncVaBpMn25Mb7xmjTHU8GB3pZRibJ8EUvsM4bUPPuXHrRVSQ0SITiYVCIU4xiilOC75OH4q+omAfhDZf23uA0aMgOOOM4YXvvoqNB9ChWG3w0L28HFMcOXx73lbqGyQ8sRCdCYJBoQ4BmVEZFDjqWnXTIYt7HajdcBkgrlzjWGGh/KAr+JzyDCXMSrVySeriqR1QIhOJMGAEMcgu8nO4LjBhzWqQCmYPNkYZlhTA2++eYgjBR2RKKuTMzIU8zaW0eRtXyuFEOLwSTAgxDFqbMpYFhcvPqxRBbGxcMEFxvfvvQeFh1JHSJkgIo3o5kLMJkWd5yDKGQohOoQEA0Icg5RSpIan4g14KaxrfyVApeCiiyAqCvLy4JNPDqF1QCmI64e5dB1Oq4maxvbNmSCEOHwSDAhxjLJoFobHD2d+Yfu7CgD69IGJE41KhG+8AY2HMuVAYn9U2Xqy4sL4flMp/oDkDQjRGSQYEOIYpZRibOpYFhctbvdMhmDMYjhtGlgssHgxLF16CK0D4Umopmp+MTCa1fnVfLqqUBIJhegEEgwIcQxLcCZgUiZKGkravQ+lYNw4yM42ZjN8441DCAasYWCxE61qufnUvsxeVUhDc/tzGIQQ7SPBgBDHMJMykRmVybqKdYf1RB4RARdeaHz/8cewc+dBbqhM4E5FVe0g0W3HaTVRVueR1gEhjjAJBoQ4xo1IGMGiokXtntYYjNaB884zRhfs3AmzZx9C60BsFpRtQFOQFe/i5e+3kFtcR0ACAiGOGAkGhDiGKaXIjMyktKGUmubDmw68d284+WQjCJgx4yATCXeNKKBkPaBzxQm9mNA3nj9/voGV+dXSQiDEERLSiYqqq6vZtm1bqzeww+EgKysrOOeAEKLrCLOEkRaexoaKDYxKHNXueUBMJmM2w1mzYMkSWLYMxowx7vc/KzoD6opRzQ3YbS4m9osnwmHhpe82c+fkfvSMccrcJEJ0sJAGAzt27OC///1vq2AgKSmJm266SYIBIbogpRSjEkexsHAhoxJHHcZ+YOxY6NvXKE389ttw/PEHEQzYwo1XzU6IM2YwHNYzijqPj2fn5PLU+YOxmCUYEKIjhTQY6N+/P3/4wx9a/bxlNkIhRNfUP7Y/7216jyZfEw6Lo937iYw0cgdWrzbyBu65B5KSDrCR0iChPxSuhNg+oBSaUhyXEcM7i/OoafIS47K1+5yEEAcW0jv00qVLee6551q1DKSmpvLII49gtVpDeTghRIi4rW7CLeFsq9lGv+h+7W6Wb0kkfPZZoyLhl18aNQh+dndKQcpwWPshDDw/+GObWSM50sGG4lrGSDAgRIcKaTAwaNAgnn322VY/N5lMWCyWUB5KCBFCmtIYkzKGeTvn0S+632Htq29fo7vg44+NRMILLwTbge7l0RlQWwD+ZjDvXnloWiRrC2o4PiNG8gaE6EAh7cS3Wq1ER0cTCAT46KOP+Oc//8lLL73EzJkz8flkEhIhuiqlFIPjBrOhcgPNgebD2pfFAhdfbCQULlgAGzYcxEb2CONrU/Ve55QS6SCvouHQZkMUQhyykGf0+f1+/vjHP1JcXMyyZcuw2WysWrUq1IcRQoRYrCMWq2alqL7osPajFEyaBD16QHU1/O9/B1FzwGQBZwzU7j1pUq84F9WNXv5vcZ7MWyBEBwp5MODxePB6vVxyySWkpqZyww03YLVaqa+vD/WhhBAhZFIm+sf0Z1nJssMe3x8fD1OmGN//739Qc8ASBgpisqBk7V6Rg9tu5sEz+zM3t5T8yobDOichxP6FPBiwWq2EhYVhsViorq7mr3/9KwUFBZIzIEQXp5RiVNIolhQvIaAHDnNfcMEF4HDAunWwcOEBWgeUgp5jYPsC2OPYSikinRZG94rmp60VUoRIiA4S8mDAbDZz2223ERMTw7333ktCQgIPPvggTqcz1IcSQoRYangq9d56qpurD7zyz1AKhg2DQYOguRn+7/+MKY5/VnQvaKwET+0++1KM6hXDku2VkjsgRAcJeTCg6zpff/01TU1NZGRkcMEFF7Bs2TJJIBSiG7Cb7CS7ktlUuemwn8LDwuD8843A4IsvoKDgABtYwyAsDiq3tVqUEuWgutFLk09mNBSiI4Q8GGhqamLevHnBmgJms5mffvqJ2traA2wphOgKjk86nvkF8w97P0rBmWdCdDQUFho1B34+vlCQOhLyfmy1otNqwmLSqG70HvZ5CSFa65BuAo/Hw7Zt2/B6vezcuZOqqipsBxxoLITobEopsmOy2VG7gyZf02HvLyMDTjzR6CJ4913w/ty9XCmjEmFZbqtFJk3hdlioapBgQIiOEPIawRaLhcsuu4x77rkHi8WCx+Ph6quvlpwBIbqJCGsEbqub7bXbD7sAkdkMv/wlfPSRkUS4cSP07/8zG4QnQEN5q+JDCogJs1Ja6yH7QOWNhRCHLOTBgFKKE044gYyMDAoKCsjIyCAsLCzUhxFCdBBNaYxIGMGiokX0jep7WJX/lILx4yElBXbsMOYryMn5mfLEjihQJqgrhsgee+xH0TcxnCXbKxmbFYsm1QiFCKkOSyC87bbb+OMf/4iu6zz33HOSQChEN6GUYmDcQNaWr8WvH37CXkICnHyy8f3770PDz5UL0CzGZEXFa1rlDYzNimVTSR2r8qtliKEQIRbyYKC5uZmZM2fy+OOPk5iYiM1mo6SkRBIIhehGksKS8Af8FNYXHnjlA9A0Y1SBxQIrVxozGu6XUpAxHnI/36veAEC4zcy14zJ46bvN1DbJw4UQodQhLQOapuF0OlFK0dTURGNjoxQdEqIbsWgWhsQPYXHR4sN+ClcKRo+G3r2NVoEPPjjAqILEgdBYYdQc2Gs/igEpESRHOlhfJA8XQoRSyIMBm83GhAkTuPnmm1m4cCG33norI0eOxOVyhfpQQogOopRieMJwVpSuQOfwm+QjI2HyZOP7jz8+QHliiwPcyVCxpdUiTSn6JIazubTusM9JCLFbyBMIAc4880yGDh1KXl4eJpOJ4uJifD6ftA4I0Y2khqdS7ammrrkOt819WPtSCs45B/7xD2MWw6VLjcTC/eYBJgyEopVG3YF9VopyWtlUUoeu6zKtsRAhEtKWAb/fz7/+9S9++ctf8tZbb1FSUsJzzz1HeXk5mhbyRgghRAdymB3EOmLZUbvjsPelFAwdCtnZ4PEcYCZDpSBxgJFE2EarRLjdTJ1H6g0IEUohvUOXlpby/fff88gjj7Bp0ybmz5/PCy+8wDXXXIPJZArloYQQHUyhGBQ3yOgqCEH2fng4nHGG8f1nn0FFxc+sHNkD6svA29h6PzYzdZJAKERIhTQYqKuro3fv3gwaNIjjjjuOs88+m/j4eHRdl6FAQnQzSimyo7PJrcglwOHNYmjsD846y5izYOtWWLDgZ1oHbG6wuqCm9WgGp81Eg9cvkxYJEUIhzRlQSvHVV1+xbds2Nm/eTEREBK+//jopKSncf//9wfkKhBDdQ5IriZrmGuqb6w87bwCMgkNDhsAPP8B778GUKdBmo6HSjFkMKzZDbOZeiyIcFuo9Ppr9AeyatDgKEQohDQZSUlJ47rnn8Pv3LlTicDgwmzskV1EI0YEcZgfxzni21mxlcNzgw9+fA84+2wgGvvoKioshObmNFZWCmEwo32w0H+yRKOiyWdCUoqTGQ48YKXMuRCiE9A5tt9sZMmRIKHcphOhECsWQ+CEsLV7KoNhBh529r5TRGvCHPxhTGn/7LVx88X5GFUT3gh0LMZIId69gMSlG94pm/uYy0qLTZESBECEgKf5CiP1SSjEodhDrKtbhDYQmgz8zE0aNAr8fZs0yvrYpPAnqS8G/93GVUgzpEcWagpoQVEAQQoAEA0KIA4h3xqNQlDaWhmR/Viv84hdGa8C8ecYERm1yRAE6NFW1WpQcYaeivhmv7/ATG4UQEgwIIQ7ArJlJd6ezuWpzSEYFKQWnnAJxcVBaCl9+uZ9RBSYrhMVDdX6rRS670cNZ33z4EykJISQYEEIchOyYbNaWrw3Z/nr0gLFjjSDgf/+D5ub9rBibBaW5raIFs6Zht2jUeaTegBChIMGAEOJntdQb2Fi5kWb//u7ah8ZkgvPOM77++CNs3txG64BSkDQYCle02l5TEOuysaO8QWqYCBECEgwIIQ4oxhGD3WwPyZTGYNznx40zhhVWVcEnn+xnxah0qCuCfYIQpRRjs2KZv7ksJOcjxLFOggEhxAGZlInMyExyK3NDts/ERJg40fj+/fehqamNlewRxtem6laL+iSEs6W0TroKhAgBCQaEEAeklCInJoe15WtD1iyvacaoArMZVqyANWvaWMlkgbA4qNnZalFcuI0+CeF8v7FMugqEOEwSDAghDkq6O52ddTvxBULzJK4UjBkD6elQVwezZ7c1qkBBZE+o3N5qe00pJg9I5Ov1JXj9EgwIcTg6NRjw+/3s3LmToqIiAoG2xwv7/X4qKirw+aQpUIjOFGWPQkenylMVsn1GR8Oppxrfz54N9fX7rKAURPWEqu1tjj/MSgjHbTfz9qId+AMSEAjRXp0WDAQCAf75z3/y2GOPcd999zFz5sxWTX26rvPZZ59x6qmnsn176ycDIcSRY9EsJDoT2VG7I2TN8krBOecYhYjWroWVK9tYKbIHVO2ANuoNmjXF70/uw8LN5eRVNITknIQ4FnVaMFBSUsJnn33GE088wcMPP8xbb71F/R6PBbquU1hYyBdffEFcXJy0DAjRBQyIHcCq0lUh259SMGKEUaK4sRE++qiNBgB3MtSXga/1sEalFG67mayEcHZIMCBEu3VaMFBYWEhkZCTh4eHExcWhlKKysjK43Ofz8corr3DhhRcSHh6+17a6rlNQUMCmTZsoLQ1NiVQhxM9TStEnqg+bqzcTIHRlgCMj4bTTjO8/+QRqavZZweY2ogZP6xEFLeeVFGGnqLqt4QhCiIPRpRII92x6/O6772hsbKRnz554PB6qq6uDeQWBQIDvvvuOd955h6VLl3bW6QpxzEkIS6CuuY7a5tqQ7vfss8Fuhw0bYNmyfVoHfqYscYvUKCd5lVKASIj26rRgICkpierqamprayktLUXXdaKiosjPz6exsZGqqipqa2t55plnWL9+PW+//TYNDUYzoMlk4uKLL+aee+7htJZHCiFEh3OanaSGp5JbEbp6A0rB0KHQty94PEZXQStJg2Hn0v1MYgApUQ4Kq5uQHEIh2sfcWQeOj4/n1FNP5Z577qG5uZmLL74Yp9PJfffdxxVXXMF5553Heeedh9/vp66ujt/97neEhYV11ukKIXYZmTiSxcWLGZk4EqVUSPYZHg6TJxv1Bj7/HO6/3+g+AIxoIWU4zP8r6AFQplbbRzgsNDT78PkDmLTWy4UQP6/TggFN07j22mspLCzEZDKRkJCAUopHH30Uh8MR/JAxmUw89dRTOJ3OkH3wCCHaRylF36i+fLT5I7wBL1aTNWT7njoVnnsONm2C5cth/Pg9Fkb2gOY6aKwwihDtw2k1gQ6NXj82iwQDQhyqTs0ZMJlMpKamkpSUhKZpRmaw243FYgmu0/Izs7nT4hYhxB6iHdGYlImShpKQ7VMpGDwY+vTZ3VWwV4+AxQGR6VCyvs3tLSYNu9VEdaM3ZOckxLGkSyUQCiG6PrMykxmVyfqK9SFN2GvpKgD44guo3nPwgFKQMhQKl7eZN6ApSIl0sE1mMRSiXSQYEEIckpYpjTdUbAj5vs84wxhVsHGj0VWw1309PgdK1oHub3Pb0RkxzNsoQ42FaA8JBoQQhywjIoPtNdtDNk8BtO4qmD17nxUi0sBTB037FiIwApTecWEU13ikLLEQ7SDBgBDikMU4YkBBSWPo8gbA6CpoGS38+ef7FCCy2MHuhoaytre1WfD6A3h8oSuIJMSxQoIBIcQhs2gWsiKzjkhXwW4K3CnGDIZt5AXYLRpWsyZJhEK0gwQDQohDppQiJyaHNeVrQpqwpxQMGfIzowqShxjFh9pg0hTx4TbyKiSJUIhDJcGAEKJd+kT1YVv1Njx+T0j3u9+uAqUgaQiUroP9HHN833g+W10klQiFOEQSDAgh2iXKHoXNZKOovijk+27pKti0yahKGHzQD4sFzQy1rY+plGJwWiSFNU3Ue2SWUyEOhQQDQoh2MSkTOTE5rC5fHfKugsGDjWmNm5qMmQyDNDMkD4PtC9rMG3BYTIRZTVTUt57uWAixfxIMCCHapSVvYH1521UBD4fbDaecYnz/xRdQVxc8qDFPQfGqNrfTlDFPQZUkEQpxSCQYEEK0Ww93DwrrC2n2h/5JfMoUsFqNaY3Xrt1jQXQ6VO8EX1Ob20U4LFQ3SMuAEIdCggEhRLtF2iKxaBbKmtoe+99eSsGwYZCeDg0N8Nlne/QKOGPAbIeawja3jQqzUtEgLQNCHAoJBoQQ7WZSJnq4e7C5anPI9x0ZCRMmGN9/9hk0Nu5aoEwQm2WMKtgnb0ApRUyYjfI6jwwvFOIQSDAghGg3pRSDYgexonRFyG++ShmjCsxmWLMGcnN33fuVgqTBULiyze3iwm2U1oV2uKMQRzsJBoQQhyUnNoctVVto9DUeeOVDoBSMGgVpaVBbayQSBsVmQeXWNictigmzUl7XLLUGhDgEEgwIIQ5LhDWCMEsYxQ3FId93TAycdJLx/SefGFUJAQiLNxIIG6tabZMUaafe46NShhcKcdAkGBBCHBZNafSL7seq0lUh7yrQNKOrwGQyig9t2bJrgcUBEalQvrHVNnaLiQS3nYLq0LZUCHE0k2BACHFYlFKMSBzB0pKlBAjtjIFKwfHHQ2IiVFfD11/vkTeQMACK1rROIgR6RDvZXt4Q0nMR4mgmwYAQ4rD1dPekprmGqqaqkO87IQHGjDHu+R9/DN6WUYOJA43iQ22MKOgZ42RrWb2MKBDiIEkwIIQ4bHaTnVRXKluqtxx45UNkMhldBZoGixdDXt6uBZE9oaECmmtbbZOd5GZNQbVUIhTiIEkwIIQ4bEop+sf2Z3VZaOcpMPYNJ54IsbFQUQFz5+5qDLC5wB7Z5qRFSRF2+iW6WbytUloHhDgIEgwIIUKiT1QfNldtJqCHNm8AIDUVRoyAQMAYVeD3AygIT4Sagja3GdUrmmU7KkN+LkIcjSQYEEKERKIzkQZfAzXNNSHft9lszFWgFCxcCCUluxZEpkF1Xpt5A71iw8ivbMQnBQeEOCAJBoQQIWE320kOS+6Q0sRKwfjxxmyGhYXw00+goyAqHSq2tblNhMOC1x/A4w19S4UQRxsJBoQQITM0fihLS5Z2SD99RgYMGGB0EXz66a7GgIhUqC2ANrombGYNq1mjpkmSCIU4EAkGhBAhoZQiOyabTVWb8AV8Id+/3Q6nnGJ8P3euUXcAZyw0N4C3dYEhTVOE2y3UyIgCIQ5IggEhRMjEOmJBh7LG0E5p3OLkk42gYNs2WL0adKsTLDZorGi1rgKinBYqGqQssRAHIsGAECJkLJqFvtF9WVm2skOGGPbvD716QVMTfPUVxnTG4UlQldfG+ooYl5WyWgkGhDgQCQaEECGjlGJ4wnCWlyzvkP273UbNATCCAY8HiM6E8s2tRhQAZMS62FRaK7UGhDgACQaEECGVHpFOUX0RDb7Qzw2glJE3oGmwdi3k5SmIzWxzwiKAnjFOdlY2ynTGQhyABANCiJAKt4bjtrnJr80P+b6VgpEjjWqEVVWwYAHoUb2gOh/8rRMFo5xWGpr9eHz+kJ+LEEcTCQaEECGloZETk8Pa8rUdsv+kJBg82KhG+NVXoNujjC6CNiZJclhNmDVFbVPoRzcIcTSRYEAIEVJKKfpG9WVD5YYOKU1sscDEicb3CxZAVa0VXHFG68A+zJoiOsxKSU1TyM9DiKOJBANCiJDLiMiguL6YOm9dyPetFIwbZwwxzMuDdesVxPWDknVtrp8YYadIggEhfpYEA0KIkHNZXSSGJbKpclOH7L9fP+jRwxhiOHeuQo/rC2W5bY4oiHXZKKttlhEFQvwMCQaEECGnUAyOG8zK0tDXGwCIiIDjjjO+//Zb8DrTjLLEgb0TBZVSxLttFFa3rlAohNhNggEhRMi1lCbOrczFr4c+k18pI29AKVixAopqY8HrgebaVutmJ7pZV1TLD5vKpHVAiP2QYEAI0SESnYk0+5spbywP+b6VMloGIiKgrAyWrnSg2yOgrqTVunHhNu45vR+vzd9ORb1UIxSiLRIMCCE6hNVkJScmhyXFSzrkibxHDyN3wO+Hb75VEJ7c5ogCpRTpsWGkRDnIr5TuAiHaIsGAEKJDKKUYkzyGn4p+6pAhhnY7nHSS8f28eVDvyISyjW0mEQL0iHayo6JBugqEaIMEA0KIDtMzoic1zTVUeio7ZP8TJoDZDBs3KrbWZELF5jbXU0qRHGmXREIh9kOCASFEh7Gb7PR092Rj5cYOmcVw8GBITIS6Opi/KhG9oRwCbVcbjA+3U1LrCek5CHG0kGBACNGhBsQOYHXZ6g7Zd1wcDB1q9Ax8/YObgNcH3raf/qPDrFQ3eGXSIiHaIMGAEKLDKKUYEDOAdRXraPKHvgqgyWR0FQAsWm6jotbe5hwFAOF2Mw3NfvwSDQjRigQDQogOFeuMxW11s6NmR8j3rRSceCI4nbCzwMSarTFQV9rmug6riYCu0+SVGQyF2JcEA0KIDqWhMShuEMtLlndIJn9WFqSnQ3MzzF3dG71iS5vrWc0adouJ6sbWUx0Lcazr1GBA13UCgQCBQNvDjnRdx+/3y1AgIboxpRRD44eyonQFPj30UwmHh8PxxwMovl3XH2/xtjaHF5qUIj7cRkGVjCgQYl/mzjqwruusXLmSGTNmYDabueKKK8jIyEApBUB+fj7//ve/qa6uJjk5mauuuorIyMjOOl0hxGFIdaXi1/0U1hXSw90jpPtWysgbePVVWF2YSWHel/REB9Q+6ykGpUayLK+KUb2ig581QohObBmor6/n8ccf57zzzmP8+PE89thjeL27m++UUpx55pnccccdNDQ08N///ldaCITopsyamYGxA1lRuqJDhhiOGgWRkVDeGM2SdTHgb7sFIiMujLyKBuSTRIi9dVowkJeXh8lkYujQoYwZM4aKigoqKiqCy1NSUhg6dCjx8fFERUXh8+1+c+u6Tn19PdXV1TQ1yTzlQnR1Su0xi2EH3IrT0iA7GwK6xtfLMwg0tZ6wCCAmzEpNo1dGFAixj05tGXA4HGiahsViQdO0Vjd2XddZuHAh8+bN46KLLgr+PBAI8MYbb/DII4/wySefHOlTF0K0Q0ZkBmWNZVQ2hb4aoc0G48YBKH7Y0If6ipo213PazPgCOh5f6MsjC9GddVowEBUVRW1tLT6fj6amJvx+Py6Xi0AggK7r6LrOTz/9xPPPP8+jjz5KUlJSsI9P0zSuvvpqnnrqKc4999zOugQhxCFwmp30juzNmvI1HdLlN24cWCywqTSJLdttba5jNWmYNCXDC4XYR6cFA6mpqURERPDuu+/yxhtv0LdvXyIiInjyySfZsGEDubm53HjjjYwZM4YtW7awdu3a4AeIUgpN09A0TZKAhOgmlFKMThrNj4U/hryrQCkYNMgoTVzf5OCHJRFtBhxmk8JhMVEjwwuF2EunBQNWq5XHH38cj8dDeHg49957L2azmTFjxhATE4PD4eD6668nMjKS0tJSamrabvYTQnQffaP6UlBXQJ23LuT7jo2F4cNBB77+3k5bI5YVEBduo7hG5igQYk+dNrRQKUVCQgJXXnnlXj8fZ3T8ATBt2rQjfVpCiA7ksrpIciWRW5HL8IThIW3ZaylN/P77iiVLNcrLIT6+9XoZcWGsL6rhuAwZXihEC6lAKIQ4YhSKUYmjWFS0KPT7VjB2rFGauKBAsWpV6xu9UoqR6dEsz6uSEQVC7EGCASHEEaOUIjs6m01Vmzpk4qLMTMjIMEoTf/ttm4UIiQ+30ewLUOcJfTVEIborCQaEEEdUrDOWSFskm6s2h3zfLpfROgBGMOBpIzXAajbhspmpqG8O+fGF6K4kGBBCHFEaGqMSR7GwcGGHVCOcNMnIH1i7Fna0MVGiplqSCKVgmRAtJBgQQhxRSimGJgxlXfk6PP7QZvUrBSNGQEwMVFXBjz+23VWQGuUkv7JRSpwLsYsEA0KIIy7GHoPdbKewvjDk+05OhsGDIRCAOXNaBwNKKVKjHORXyuyFQrSQYEAIccRpSmNQ3CAWFS0K+dO5xWIMMQRYuBCqq1uvExduo7xOag0I0UKCASHEEaeU4rik41hSvARvILTVAJWC8eN17Had7dthzZrW64TbzdQ3+5HRhUIYJBgQQnSKFFcKNpONLVVbQr7v7H46vXp48Xjgm29adxW4bGYamn00yhwFQgASDAghOolJmTg++XjmF84PeVeB2w0nDKsEdL7+2qg7sCeXzUzfhHCe/HQ9JTKqQAgJBoQQnUMpxdD4oawpWxPyAkRKU5wyphxNBVi1qvUQQ5OmuH5iFj1jnHy8qlBGFYhjngQDQohOE+eIw21zs6VqS0hvyAoYNdJLXFgllZXwww97dxUopbCaNcb0jmFzSV2I51AUovuRYEAI0Wk0pXFSyknM2TEntNMaK0VKmpXhPdYTCOh89hltzmIY77ZT2eDF629joRDHEAkGhBCdRinFiMQRbKveRpWnKqT7NrujOa3/TwAsWAClpa3XcdnM6Og0NksioTi2STAghOhULouLzMhMlpcsD21XgS2M8QNyCbc3UlAAS5a0HlVgMWnYzCZqm2TSInFsk2BACNGplFKMTxvP3Py5BPQQNteb7WRm+MlOr8Tng88/b6saoVFzoKYptLUOhOhuJBgQQnS6zKhM6r31FNQXhG6nyoQjLp5JI/IBo95Abe0+qwAxLiultVKNUBzbJBgQQnQ6q2ZldNJovs//PrTD/GKzOG14LjYbbNoEq1a1HlWQGimTFgkhwYAQotMppTgh+QSWFC8JXc0BpVDRvRmctpXevXWamuCzz1qvlhEXRm5xbZuzGwpxrJBgQAjRJcSHxRNlj2JDxYbQPaVHpOJmJxPHG6MFPv8c6uv3XiUr3kVJrYc6jyQRimOXBANCiC5BQ2N82ni+yfsmdDUHwuLQfA2ccVoDFgusXQurV+/dVeC0mol0WCiokq4CceySYEAI0SUopRgSN4QdNTsobWijKEB7WBxgDWNk/3IyMqChAT7+eN/jwqhe0Xy1rkQqEYpjlgQDQoguI8wSxoDYASwvDVHNAaVBeCKRKo9TTzX2N3v23qMKlFJMyk5gbWENK/OqpXVAHJMkGBBCdBktFQkXFy0OXVdB4kBU0Qp+8Quw22HdutYFiNx2M7+d0Ju/f7eJsjqPBATimCPBgBCiS+kT1YeKpgoK6goO/6aslBEMlKxj2NAA/fqBxwMzZ7YeYpiT5OakrDg+XBHCWgdCdBMSDAghuhS7yc5JqSfx4eYPQ9M64E6F5jrCTeX84hfGjz7+GIqK9l5NKcWAlAh2VjYe/jGF6GYkGBBCdClKKU7ueTKbqzazo2bH4bcOWBwQ3RtVvIZf/AKioiAvr+3yxBEOC7VNPqk5II45EgwIIbocp9nJGb3P4O0Nb+PXD3NGQaUgZRgULicrS+fEE43pjN980+gy2JPLbqbB68cXkGhAHFskGBBCdDlKKcYkj6HGU0NuZe7htw7EZELFFizmANOmgdkMCxfC0qV7r+a0mggEdJq8MqWxOLZIMCCE6JKsmpUpGVP4dOunh587EJEGjVWopiomToR+/YxKhK+/Dv497vs2swmHxURVQ/PhHU+IbkaCASFEl6SUYmj8UHbW7Tz8kQXWMHAlQFUeUVFw8cXGjz/4ALZv372apqBHtJNNpfUyvFAcUyQYEEJ0WU6zk8npk5mxfga+wGHOHRDbB0rWodC54AJITDRGFMyYsTuRUCnF6IwYvt9YKkmE4pgiwYAQostSSjEudRwev4e5+XPb/7SuFPQ8HrbNhYCXXr3gF78wgoD//GfvYYaD0yIoqm6itM6z390JcbSRYEAI0aVZTVYuzb6UT7d9SqPvMGoAxPUzvpasR9N0rr7aGGa4ebORO9ASZzgsJjLjXawvqpWuAnHMkGBACNGlKaXo6e5JVmQWszbOav9QQ80MfU6H3M9QwIABcP75RhDw97/Djh27A4JBqRGsyKsK1SUI0eVJMCCE6PI0pXFJ9iWsLlvNsuJl7XtiVwpShkPxavA2YDLBjTdCfLyRRPjii0YwoJRiSFoUq3dWS1eBOGZIMCCE6BZcFhdXDbyKN9a9QUVTRfsCgvBEcKfA9h9Q6GRnwxVXGItefRXWrDECgliXlUGpESzeVildBeKYIMGAEKJbUEqRFZnFhLQJ/GfNf/Dp7RhdoDQYeiksexOa6zCZ4De/gfR0KC2FJ5+E5mbjWOP7xvPB8p0UVjdJQCCOehIMCCG6DaUUk3tNpsHbwPf53x/6TVopiMuBxIGw9HXQA/ToATffDCYTzJoFH35otA70T3Zzav9EZi3J75iLEaILkWBACNGtWDUr0wdM54NNH1DWWHboAYGmwchfw46FUL4ZpeBXv4Jx46CpCe6/H7ZtA1CM6xPH2sIaGpqlPLE4ukkwIIToVpRSpLpSmdhjIm+se6N93QX2CBh4Hix5FbyNuN3wxBMQFwcbNsAddxjliqOcViIcFraXN0hXgTiqSTAghOh2lFKcln4adc11zNk+p33dBVmngckGc59C+ZoYMQLuvRcsFnj/fSN/wO+D8X3jeH/ZTmQiQ3E0k2BACNEt2Uw2rh18LZ9v+7x9MxuabTDuDvA3w4oZaPi45hqYNs2YvOjPf4bnn1eMyYgnr7KB1TurCUjrgDhKSTAghOiWlFLEOeK4pN8l/Hftf2nwNRzqDsBshxNugvxF8MNfsZsbefJJOP108HjggQfg3//UuPy4Xvzju828v2yndBeIo5IEA0KIbkspxfCE4WREZPDWurfwBryHugNwxsDpT0J9GWr5W8REenj5ZZ1Jk6ChAe65R/Hp61H8bmw/vt1Qik/6C8RRSIIBIUS3ZtJMXNTvIkoaSngv9z0CeuDQdqAU2MLhxFugeDXqk9tIchXy6qs6p5xijDB4/HHFvbfY2b4dZi7OZ3t5Pc2+gLQSiKNGpwYDuq4HX+1ZLoQQYEx1fP3Q61lRuoIZ62fQ4G1H9r8zBk7/E/Qah/riflJc+bzxhs706cZoxA//pzH3+X68856fJ2bncvvMFXy5tphmn18+o0S312nBgK7r7Ny5k7/97W+8/PLLlJXtPV5Y13XWrl3Ls88+y1tvvUV9fX1nnaoQootTSuG2urlz1J3UeGp4eMHDLCxcSKOv8eBv1EqByQL9z4G+k1Gf3klc7bf87Xkvf/oTxMQoqgocfP58OnkzB5PRmMXHi8t56rNcmv2H2BohRBfTacGAx+PhvvvuIyUlBavVymOPPYbfv7uwR2lpKQ8++CBDhw5l27ZtvPzyyxJ9CyH2SylFhC2CawZdw/T+0/km7xvunXcvM3NnsrN2JwH9IJv1NTMMOA8m3ota9S6On/7MjdO28/4sD2PH6jQ3wyezNW6/NoyPH8/mn09E8dyLPhYsMCY8qqw0uhZ8vt2zIArR1Zk768B5eXk0NDRwxhln4PF4eO+996isrCQuLg6A5cuX07NnT8aNG0evXr24+eab+e1vf4vVau2sUxZCdAMmzUS/6H7cOfJOihqK+DbvW55Z8gxum5ue4T2Jd8bjMDsIt4YT64jFbrZjM9kwa2YUCqUUJmVCxWbCqY/Cynfgi7sYqWm8d3MW/zthOK+8l8GKbRls3miHjQncOR9sNggPh4gIiI6GmBioqICrrurs34gQB9ZpwUB1dTUulwuTyYTNZsNkMlFfXx8MBioqKoiOjgYgLCyM5uZmmpubsVqt+P1+3nnnHbZt28aiRYtYvHgx3333XWddyhETCATwer3YbLbOPpUOdyxdq67reDwe7HZ7Z5/KEdHU1ITNZkMpdcSOGeYLY1P1Jr6t+5byxnJ8AR8KhcVkwayZsZls2E12NKWhKQ2b2YZJmYyNdR38XqgrhoYfQH+VyGwnKRHZVGwdiO7d/f/W3GxMeFRaavzb4ViErl9xxK5TiPbqtGDA5XLR2NgY/NAPBAI4HI7gcrfbTU1NDWB8eJjNZiwWCwCapnHSSScxYsQIdF0nMzOToUOHdsp1HElbtmzh66+/5tJLL+3sU+lwRUVFvPPOO9x4442dfSodrrq6mpdeeok77rijs0/liHjqqae4+uqriYyM7OxT6XB/+1vxEQ16hGivTgsG0tLS0HWdBQsWUF1dTXx8PFFRUbz22muMGzeOwYMH88orr7BmzRrmzp3L8OHDg10ESilSUlIAiI+PJzU1laysrM66lCPG5/MRGxt7TFyrw+EgOjqazMzMo/7DtLy8nKioqGPiWnVdJyoqil69ehEbG9vZp9PhjoWARxwdOi0YcDqdPPjgg7z99ttYLBbuv//+4NO/pmkkJydzyy23MGPGDGJjY7n++uvb3M/xxx8f7E442iUkJDBp0qTOPo0jIjIykilTpnT2aRwRYWFhnH322Z19GkfMWWedRVhYWGefxhFx+umnExUV1dmnIcQBKb0TU/T3PHRbT0QHWi6EEEKIw9epRYeUUsHXwSxvbm5m48aN5OfnEwjsPa5X13UaGhpYv349JSUl3X4YYiAQID8/n40bN9Lc3NyqBkNZWRlr1qxp83fR3ei6TkFBARs2bKCpqanN/ztd1yktLe329SZ0Xae6upq1a9dSWVnZ6lr3/DvesmULPl87puftInRdp66ujnXr1lFeXt7mtRYVFbF69epWdUa6G13Xqa+vp6CggKampjaXV1dXs27dujb/34XobJ3WTXCovF4vjz32GI2NjZSXl3POOedw5plnBgOFuro67rjjDmJjY9myZQu33norQ4cO7ZYtCrqu8+GHH/Lhhx8SHR2Ny+Xi3nvvDSZQlpaW8sQTTxAXF8eGDRuYPHkyF110Ube91m+++YbXXnuNpKQk/H4/jz766F6Z9bqus2nTJqZNm8aNN97IJZdc0olnfHgKCwu56667yMjIYNOmTTz++OP07NkzuLy4uJhHH32UhIQENE3jqquuIikpqRPPuP0qKyu5/fbbSUlJYfPmzdx///3069cPMP5P582bxwsvvMCgQYNYtmwZDz30EAMGDOjks26f0tJS7r33XlasWMHTTz/NiSeeuNfyoqIi7rrrLtLT09m8eTOPPfYY6enpnXOyQrSh28xNsGXLFnJzc3nssce45557eOONN2hubg4unz9/Pk6nk4cffpgrr7yS//znP902+m5ubuaNN97g3nvv5bHHHmPdunVs27YtuDwmJoYnn3ySu+++m1tuuYX3339/r4JN3Ynf7+fVV1/llltu4dFHHw22eOzJ4/Hwr3/9iyFDhuDxeDrpTA9fS5A3cuRIHnzwQSZMmMDMmTODf6e6rvPaa68xatQorrrqKm666SYSExM7+azbR9d15syZQ48ePXjooYc477zzeOONN/Z6T/7www9MnjyZu+++m6FDh7Js2bJOPOPDExMTw1/+8hdGjRqF17v3ZEm6rvPRRx8xdOhQHnroIU4++WTefffdbvv5JI5O3SYYyMvLIzk5GavVSmJiIg0NDdTV1QWXb9y4kaysLJRS9OrVi507d3bbG2RdXR0ej4f4+HhsNhtJSUnk5eUFl5tMJqxWK4FAgDlz5jB8+HBMJlMnnnH7NTU1UVVVRUpKCmazmfT0dLZu3Rpcrus677//Pn379iUzM7MTzzQ0Nm7cSN++fVFK0a9fPzZt2hRcFggEWLRoEZ9//jnPPvssv/nNb8jLy+u2N42Wa9U0jT59+rBt27a9urTOPPNM3n//fW655RaWLVvGhAkTOvFsD4/JZCIsLAxNa/sjNTc3l+zsbJRS9OnTh82bN3fb/1dxdOo2wYCmacEPkpY30Z7N4pqm7fWE1R2bzFvse+6BQKDVz/x+P2+99Rbbtm3juuuu69bXC7v/TwOBwF4fqPn5+XzyySccf/zx1NTUUFFR0WafbHex59/pvtcKxv/r1KlTefLJJxk+fDgffvhhZ5xmSOz7nt33b/Tbb7/lhBNO4De/+Q29e/fmhx9+OGpvkPv+LvYXNAjRWbrNX2R6ejr5+fnU19ezbds23G43YWFh5Obm0tTURHZ2NmvWrMHn87Fu3Tp69eqF2dxtUiL24nK5cLlc7NixI5iUlJ6eTkFBAaWlpfj9fmbMmMGCBQt46KGHcLlc3fZD1OFwEB8fz+bNm/F4PGzevJmsrCxKSkooLCykqamJ+Ph4Xn/9debPn8/cuXP3aiXpbnJyclixYgV+v58VK1aQk5NDU1MTGzduRCnFkCFD9pqtszvfNPr378/KlSvx+XysXLmSvn374vP52LBhA4FAgNWrVzNkyBCysrLIzs4mNze3s0+53XRdJxAIBL8GAoHgtfp8PgYMGMDy5cuD/+/9+vXr9gG8OLp06tDCQ+H3+/nrX//Kxo0baWhoYPr06YwZM4Ybb7yRO++8k8TERB5++GEaGxuprq7m7rvvpk+fPt3yDafrOt9++y2vvfYaDoeDfv36cf311/PSSy8RFxfHmDFjuPjii8nIyCAiIoIePXrw+9//vlsGP7qus3jxYl544QXCw8NJSkrijjvu4N1336W+vp5f//rXKKXQdZ1///vfREREcP7553f2abdbeXk59913H3a7nfr6eh599FFqa2t55plneO655ygoKOCxxx7D7XZTXV3NI488QnJycmefdrvU1tZy//33A1BTU8ODDz6IxWLhgQce4Pnnn2fJkiX87W9/Iy0tjfz8fO69915ycnK65Xu2vr6eP//5z8ydO5fExETOOOMMpkyZwk033cQzzzyDruvcd9992Gw26urqePTRR7ttPog4OnWbYKAl4i4vL8dqtRIREQFAY2MjNpsNTdPw+XyUl5fjcrkICwvrlh8qLVqGIjU3NxMTE4OmaTQ3NxuTqOyax6GFpmnd+np1Xae2tpbGxkZiYmIwmUx4vV50XQ/OTaDrevD6u/NkVS3zEFRWVhIZGYndbicQCODxeILluFsC2pbl3fn/1ev1Ul5eTkREBA6HA13XaWxsxOl0AkbAUFtbS2RkJE6ns1tfa11dXbCFzmKxYLfbaWhowOFwoJRq9f/eXa9VHJ26TTAghBBCiI7RfTskhRBCCBESEgwIIYQQxzgJBkS3pOs6Pp+Purq6VuWaD2Zbr9dLaWkpdXV1VFVVtdq+tra2Wxc4EkKIQ9H90s/FMa9l6us33ngDs9mM3+/nnHPO4eSTT95rvZYErbZq4j/zzDNs376dM888k0WLFnHXXXcFyz0D/O3/27u/l6b3OI7jz+YXF+m8aEPmr1BS3FYsnIzwJyPBC7Wg1GLQH9KtQUnroovo0ot24YUYQXfqhTcyQURiJsi80O2rN7mEtmRua3ouDo5jdDh3B9f39bgan/FlsJs92efD5/3uHX19fQwMDPzrwKzfrf+69utn69CYiFxGigGpOKZp8uLFCyKRCB0dHWSzWb5+/Uoul+Pjx4/s7e0RDAYZGhrCNE3i8TgHBwcUCgWePn1KIpFgbm6Ohw8f0tHRwfHxMTabjW/fvjE7O4thGCSTSYLBIKVSiZWVFWKxGG63m8nJSc7OzlhYWCCfz2OaJhMTE9y8eZOjoyM+fPjA4eEhPT09hEIh4vE4i4uL1NTU8PjxY1wul4JARC4dbRNIxYnFYvh8Pnw+H9XV1TidTjweD+/fv2d7e5uxsTGi0Sirq6vs7Ozw5s0bgsEgp6enRKNRGhsbcTqdBINB7HY78/PzFAoFIpEIdrudQCBQvid/fX2daDTKyMgImUyGmZkZvn//zsuXL6mvr8fn8/H69WsKhQJTU1NUVVXx6NEjXC4XqVSKV69eEQqFcLlcRCKRip8wKSJ/JsWAVJzj42Nqa2svrJ1vHYTDYfx+P6Ojo8RiMQB6e3vp7u7m3r17pFIp3G43169f586dO9TV1QF/z0hIJBKMj49z9+5dent7AVheXqZYLLK8vMzR0RFra2uUSiXa29sJhUIMDg6SyWRIp9Mkk0mePHmC1+vF7/ezsbFBJpMhFouxu7vL5uZmRV+lLCJ/Lm0TSMW5ffs2CwsL5HK58kU9JycnVFdXly9jymaz5ffOzwL8bg//XFVVFTabjXw+z+npaXkI1rVr12hvb2dwcBAAh8OBzWbDMIwLf/efD4rK5/PU1NQAcPXqVZqbm8vP3r9//8JoZhGRy0IxIBWnq6sLv9/Ps2fP6O7u5uDggBs3bjA+Ps7bt2/p7+9naWmJ6elpkslk+YfaZrOVX//zsKBhGNjtdoaHh5mensbr9fLlyxfC4TAPHjxgamqK9fV1ANxuN4FA4EJgGIZBXV0dQ0NDPH/+nEAggMPhIBQK8enTJ1ZWVqitrcUwDDwez//8bYmI/DfdQCgVqVgssrOzg2mauFwufD4fdrudRCKBaZp4vV6amprIZrP8+PGDhoYGcrkc6XSa5uZm9vb2aGlp4cqVK6RSKVpbW/n58yefP3/m7OyM+vp6nE4nDoeDdDrN5uYmhmFw69YtHA4H+/v7tLW1USqVys+XSiW2trY4PDyks7OTlpYWMpkM8XicYrGIx+OhoaFBBwhF5NJRDIiIiFicDhCKiIhYnGJARETE4hQDIiIiFqcYEBERsTjFgIiIiMUpBkRERCxOMSAiImJxigERERGLUwyIiIhYnGJARETE4hQDIiIiFqcYEBERsTjFgIiIiMUpBkRERCxOMSAiImJxigERERGLUwyIiIhYnGJARETE4hQDIiIiFvcXZJqZfiTgkB0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "img = mpimg.imread(f\"{file_path}/confusion_matrix_normalized.png\") \n",
    "plt.imshow(img)\n",
    "plt.axis('off') \n",
    "plt.show()\n",
    "\n",
    "img = mpimg.imread(f\"{file_path}/F1_curve.png\") \n",
    "plt.imshow(img)\n",
    "plt.axis('off') \n",
    "plt.show()\n",
    "\n",
    "img = mpimg.imread(f\"{file_path}/P_curve.png\") \n",
    "plt.imshow(img)\n",
    "plt.axis('off') \n",
    "plt.show()\n",
    "\n",
    "img = mpimg.imread(f\"{file_path}/R_curve.png\") \n",
    "plt.imshow(img)\n",
    "plt.axis('off') \n",
    "plt.show()\n",
    "\n",
    "img = mpimg.imread(f\"{file_path}/PR_curve.png\") \n",
    "plt.imshow(img)\n",
    "plt.axis('off') \n",
    "plt.show()\n",
    "\n",
    "img = mpimg.imread(f\"{file_path}/results.png\") \n",
    "plt.imshow(img)\n",
    "plt.axis('off') \n",
    "plt.show()\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}