{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d65e93e6",
   "metadata": {
    "papermill": {
     "duration": 0.010682,
     "end_time": "2023-10-15T16:59:30.019069",
     "exception": false,
     "start_time": "2023-10-15T16:59:30.008387",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# [RSNA 2023 Abdominal Trauma Detection](https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection)\n",
    "\n",
    "> Detect and classify traumatic abdominal injuries\n",
    "\n",
    "![](https://www.kaggle.com/competitions/52254/images/header)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01ad3854",
   "metadata": {
    "papermill": {
     "duration": 0.009874,
     "end_time": "2023-10-15T16:59:30.039087",
     "exception": false,
     "start_time": "2023-10-15T16:59:30.029213",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Idea:\n",
    "* In this notebook we will classify `Detect and classify traumatic abdominal injuries` from CT scans.\n",
    "* For this ntoebook, we'll use classic **CNN** model: EfficientNet for our training.\n",
    "* **Wandb** is integrated hence we can use this notebook to track which experiemnt is peforming better.\n",
    "* We'll maximize the `binary_cross_entropy` score using as it similar to `log_loss`.\n",
    "\n",
    "> This notebook uses similar methodology as my previous notebook [RSNA-BCD: EfficientNet](https://www.kaggle.com/code/awsaf49/rsna-bcd-efficientnet-tf-tpu-1vm-train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b9fc358",
   "metadata": {
    "papermill": {
     "duration": 0.0098,
     "end_time": "2023-10-15T16:59:30.059304",
     "exception": false,
     "start_time": "2023-10-15T16:59:30.049504",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Notebooks\n",
    "* CNN:\n",
    "    * Train: [RSNA-ATD: CNN [TPU][Train]](https://www.kaggle.com/awsaf49/rsna-atd-cnn-tpu-train/)\n",
    "    * Infer: [RSNA-ATD: CNN [TPU][Infer]](https://www.kaggle.com/awsaf49/rsna-atd-cnn-tpu-infer/)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f291035",
   "metadata": {
    "papermill": {
     "duration": 0.010213,
     "end_time": "2023-10-15T16:59:30.079288",
     "exception": false,
     "start_time": "2023-10-15T16:59:30.069075",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Overview\n",
    "\n",
    "## Augmentations:\n",
    "* Random - Horizontal Flip\n",
    "* Random - Brightness, Contrast, Hue, Saturation\n",
    "* Coarse Dropout\n",
    "* MixUp, CutMix\n",
    "\n",
    "## WandB Integration:\n",
    "* You can track your training using **wandb**\n",
    "* It's very easy to compare model's performance using **wandb**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73d56d32",
   "metadata": {
    "papermill": {
     "duration": 0.009895,
     "end_time": "2023-10-15T16:59:30.098908",
     "exception": false,
     "start_time": "2023-10-15T16:59:30.089013",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Update\n",
    "- `v14`: vertical flip augmentation\n",
    "- `v9`: use seperate heads for each organ (total $5$ heads now, $2$ heads with `sigmoid`, $3$ with `softmax`.\n",
    "- `v7`: reduce class variables using class correlation\n",
    "- `v4`: monitor `val_acc`, max_lr reduced, model: effnetb4"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f9f09c5",
   "metadata": {
    "papermill": {
     "duration": 0.009815,
     "end_time": "2023-10-15T16:59:30.118651",
     "exception": false,
     "start_time": "2023-10-15T16:59:30.108836",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Install Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9e803824",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T16:59:30.139804Z",
     "iopub.status.busy": "2023-10-15T16:59:30.139492Z",
     "iopub.status.idle": "2023-10-15T16:59:30.149189Z",
     "shell.execute_reply": "2023-10-15T16:59:30.148343Z"
    },
    "papermill": {
     "duration": 0.022487,
     "end_time": "2023-10-15T16:59:30.150781",
     "exception": false,
     "start_time": "2023-10-15T16:59:30.128294",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'!pip download -q seaborn\\n!pip download -q keras-cv-attention-models\\n!pip install -qU scikit-learn\\n!pip download -q python-gdcm\\n!pip download -q pylibjpeg\\n!pip download pydicom'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"!pip download -q seaborn\n",
    "!pip download -q keras-cv-attention-models\n",
    "!pip install -qU scikit-learn\n",
    "!pip download -q python-gdcm\n",
    "!pip download -q pylibjpeg\n",
    "!pip download pydicom\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "51756875",
   "metadata": {
    "_kg_hide-input": false,
    "_kg_hide-output": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T16:59:30.172127Z",
     "iopub.status.busy": "2023-10-15T16:59:30.171378Z",
     "iopub.status.idle": "2023-10-15T17:00:13.248331Z",
     "shell.execute_reply": "2023-10-15T17:00:13.247241Z"
    },
    "papermill": {
     "duration": 43.089593,
     "end_time": "2023-10-15T17:00:13.250442",
     "exception": false,
     "start_time": "2023-10-15T16:59:30.160849",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Looking in links: /kaggle/input/libraries\r\n",
      "Processing /kaggle/input/libraries/keras_cv_attention_models-1.3.20-py3-none-any.whl\r\n",
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      "Requirement already satisfied: requests-oauthlib>=0.7.0 in /opt/conda/lib/python3.10/site-packages (from google-auth-oauthlib<1.1,>=0.5->tensorboard<2.13,>=2.12->tensorflow->keras-cv-attention-models) (1.3.1)\r\n",
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      "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /opt/conda/lib/python3.10/site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow->keras-cv-attention-models) (0.4.8)\r\n",
      "Requirement already satisfied: oauthlib>=3.0.0 in /opt/conda/lib/python3.10/site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.13,>=2.12->tensorflow->keras-cv-attention-models) (3.2.2)\r\n",
      "Installing collected packages: ftfy, keras-cv-attention-models\r\n",
      "Successfully installed ftfy-6.1.1 keras-cv-attention-models-1.3.20\r\n",
      "Looking in links: /kaggle/input/libraries\r\n",
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      "Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/lib/python3.10/site-packages (from scikit-learn) (3.1.0)\r\n",
      "Looking in links: /kaggle/input/libraries-add02\r\n",
      "Processing /kaggle/input/libraries-add02/pylibjpeg-1.4.0-py3-none-any.whl\r\n",
      "Requirement already satisfied: numpy in /opt/conda/lib/python3.10/site-packages (from pylibjpeg) (1.23.5)\r\n",
      "Installing collected packages: pylibjpeg\r\n",
      "Successfully installed pylibjpeg-1.4.0\r\n",
      "Looking in links: /kaggle/input/libraries-add02\r\n",
      "Requirement already satisfied: pydicom in /opt/conda/lib/python3.10/site-packages (2.4.3)\r\n"
     ]
    }
   ],
   "source": [
    "#!pip install -q keras-cv-attention-models\n",
    "##!pip install -qU wandb\n",
    "#!pip install -qU scikit-learn\n",
    "#!pip install -q seaborn\n",
    "!python -m pip install --no-index --find-links=/kaggle/input/libraries seaborn\n",
    "!python -m pip install --no-index --find-links=/kaggle/input/libraries keras-cv-attention-models\n",
    "!python -m pip install --no-index --find-links=/kaggle/input/libraries scikit-learn\n",
    "#!python -m pip install --no-index --find-links=/kaggle/input/libraries-add02 python-gdcm\n",
    "!python -m pip install --no-index --find-links=/kaggle/input/libraries-add02 pylibjpeg\n",
    "!python -m pip install --no-index --find-links=/kaggle/input/libraries-add02 pydicom"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e6a22d5",
   "metadata": {
    "papermill": {
     "duration": 0.010877,
     "end_time": "2023-10-15T17:00:13.272748",
     "exception": false,
     "start_time": "2023-10-15T17:00:13.261871",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "18c5acd8",
   "metadata": {
    "_kg_hide-output": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:13.338005Z",
     "iopub.status.busy": "2023-10-15T17:00:13.337673Z",
     "iopub.status.idle": "2023-10-15T17:00:22.942754Z",
     "shell.execute_reply": "2023-10-15T17:00:22.941834Z"
    },
    "papermill": {
     "duration": 9.619738,
     "end_time": "2023-10-15T17:00:22.944786",
     "exception": false,
     "start_time": "2023-10-15T17:00:13.325048",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.5\n",
      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n",
      "/opt/conda/lib/python3.10/site-packages/tensorflow_addons/utils/tfa_eol_msg.py:23: UserWarning: \n",
      "\n",
      "TensorFlow Addons (TFA) has ended development and introduction of new features.\n",
      "TFA has entered a minimal maintenance and release mode until a planned end of life in May 2024.\n",
      "Please modify downstream libraries to take dependencies from other repositories in our TensorFlow community (e.g. Keras, Keras-CV, and Keras-NLP). \n",
      "\n",
      "For more information see: https://github.com/tensorflow/addons/issues/2807 \n",
      "\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'  # to avoid too many logging messages\n",
    "import pandas as pd, numpy as np, random, shutil\n",
    "import tensorflow as tf, re, math\n",
    "import tensorflow.keras.backend as K\n",
    "import sklearn\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow_addons as tfa\n",
    "import tensorflow_probability as tfp\n",
    "#import wandb\n",
    "import yaml\n",
    "\n",
    "from IPython import display as ipd\n",
    "from glob import glob\n",
    "from tqdm import tqdm\n",
    "from sklearn.model_selection import KFold, StratifiedKFold, GroupKFold, StratifiedGroupKFold\n",
    "from sklearn.metrics import roc_auc_score\n",
    "from sklearn.utils.class_weight import compute_class_weight\n",
    "\n",
    "import time\n",
    "import pydicom\n",
    "import gc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e8b7d97",
   "metadata": {
    "papermill": {
     "duration": 0.011,
     "end_time": "2023-10-15T17:00:22.967465",
     "exception": false,
     "start_time": "2023-10-15T17:00:22.956465",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Version Check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "eb3a442b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:22.991516Z",
     "iopub.status.busy": "2023-10-15T17:00:22.990613Z",
     "iopub.status.idle": "2023-10-15T17:00:22.996397Z",
     "shell.execute_reply": "2023-10-15T17:00:22.995504Z"
    },
    "papermill": {
     "duration": 0.019583,
     "end_time": "2023-10-15T17:00:22.998149",
     "exception": false,
     "start_time": "2023-10-15T17:00:22.978566",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "np: 1.23.5\n",
      "pd: 2.0.3\n",
      "sklearn: 1.2.2\n",
      "tf: 2.12.0\n",
      "tfp: 0.20.1\n",
      "tfa: 0.21.0\n"
     ]
    }
   ],
   "source": [
    "print('np:', np.__version__)\n",
    "print('pd:', pd.__version__)\n",
    "print('sklearn:', sklearn.__version__)\n",
    "print('tf:',tf.__version__)\n",
    "print('tfp:', tfp.__version__)\n",
    "print('tfa:', tfa.__version__)\n",
    "#print('w&b:', wandb.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ed549f3",
   "metadata": {
    "papermill": {
     "duration": 0.010986,
     "end_time": "2023-10-15T17:00:23.020189",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.009203",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Wandb"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bddb2de7",
   "metadata": {
    "papermill": {
     "duration": 0.011554,
     "end_time": "2023-10-15T17:00:23.043240",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.031686",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<img src=\"https://camo.githubusercontent.com/dd842f7b0be57140e68b2ab9cb007992acd131c48284eaf6b1aca758bfea358b/68747470733a2f2f692e696d6775722e636f6d2f52557469567a482e706e67\" width=\"400\" alt=\"Weights & Biases\" />\n",
    "\n",
    "Weights & Biases (W&B) is MLOps platform for tracking our experiemnts. We can use it to Build better models faster with experiment tracking, dataset versioning, and model management\n",
    "\n",
    "Some of the cool features of **W&B**:\n",
    "\n",
    "* Track, compare, and visualize ML experiments\n",
    "* Get live metrics, terminal logs, and system stats streamed to the centralized dashboard.\n",
    "* Explain how your model works, show graphs of how model versions improved, discuss bugs, and demonstrate progress towards milestones.\n",
    "\n",
    "> **Note:** `kaggle_secrets` has not been added to `TPU-VM` yet, so run anonymously then go to the dashbaord and simply `claim` the run."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "23cdc21a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:23.067149Z",
     "iopub.status.busy": "2023-10-15T17:00:23.066281Z",
     "iopub.status.idle": "2023-10-15T17:00:23.072287Z",
     "shell.execute_reply": "2023-10-15T17:00:23.071395Z"
    },
    "papermill": {
     "duration": 0.019685,
     "end_time": "2023-10-15T17:00:23.073991",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.054306",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'import wandb\\n\\ntry:\\n    from kaggle_secrets import UserSecretsClient\\n    user_secrets = UserSecretsClient()\\n    api_key = user_secrets.get_secret(\"WANDB\")\\n\\n    wandb.login(key=api_key)\\n    anonymous = None\\nexcept:\\n    anonymous = \"must\"\\n    print(\\'To use your W&B account,\\nGo to Add-ons -> Secrets and provide your W&B access token. Use the Label name as WANDB. \\nGet your W&B access token from here: https://wandb.ai/authorize\\')'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"import wandb\n",
    "\n",
    "try:\n",
    "    from kaggle_secrets import UserSecretsClient\n",
    "    user_secrets = UserSecretsClient()\n",
    "    api_key = user_secrets.get_secret(\"WANDB\")\n",
    "\n",
    "    wandb.login(key=api_key)\n",
    "    anonymous = None\n",
    "except:\n",
    "    anonymous = \"must\"\n",
    "    print('To use your W&B account,\\nGo to Add-ons -> Secrets and provide your W&B access token. Use the Label name as WANDB. \\nGet your W&B access token from here: https://wandb.ai/authorize')\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e98f016",
   "metadata": {
    "papermill": {
     "duration": 0.011165,
     "end_time": "2023-10-15T17:00:23.096253",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.085088",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "718714bd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:23.120287Z",
     "iopub.status.busy": "2023-10-15T17:00:23.119985Z",
     "iopub.status.idle": "2023-10-15T17:00:23.127559Z",
     "shell.execute_reply": "2023-10-15T17:00:23.126670Z"
    },
    "papermill": {
     "duration": 0.021634,
     "end_time": "2023-10-15T17:00:23.129249",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.107615",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "class CFG:\n",
    "    wandb         = True\n",
    "    competition   = 'rsna-atd' \n",
    "    _wandb_kernel = 'awsaf49'\n",
    "    debug         = False\n",
    "    comment       = 'EfficientNetV1B0-256x256-low_lr-vflip'\n",
    "    exp_name      = 'baseline-v4: new_ds + multi_head' # name of the experiment, folds will be grouped using 'exp_name'\n",
    "    \n",
    "    # use verbose=0 for silent, vebose=1 for interactive,\n",
    "    verbose      = 0\n",
    "    display_plot = True\n",
    "\n",
    "    # device\n",
    "    device = \"GPU\" #or \"TPU-VM\"\n",
    "\n",
    "    model_name = 'EfficientNetV1B0'\n",
    "\n",
    "    # seed for data-split, layer init, augs\n",
    "    seed = 42\n",
    "\n",
    "    # number of folds for data-split\n",
    "    folds = 4\n",
    "    \n",
    "    # which folds to train\n",
    "    selected_folds = [0, 1, 2]\n",
    "\n",
    "    # size of the image\n",
    "    img_size = [256, 256]\n",
    "#     eq_dim = np.prod(img_size)**0.5\n",
    "\n",
    "    # dicom to png size\n",
    "    resize_dim = 512\n",
    "\n",
    "    # batch_size and epochs\n",
    "    batch_size = 4\n",
    "    epochs = 10\n",
    "\n",
    "    # loss\n",
    "    loss      = 'BCE & CCE'  # BCE, Focal\n",
    "    \n",
    "    # optimizer\n",
    "    optimizer = 'Adam'\n",
    "\n",
    "    # augmentation\n",
    "    augment   = True\n",
    "\n",
    "    # scale-shift-rotate-shear\n",
    "    transform = 0.90  # transform prob\n",
    "    fill_mode = 'constant'\n",
    "    rot    = 2.0\n",
    "    shr    = 2.0\n",
    "    hzoom  = 50.0\n",
    "    wzoom  = 50.0\n",
    "    hshift = 10.0\n",
    "    wshift = 10.0\n",
    "\n",
    "    # flip\n",
    "    hflip = True\n",
    "    vflip = True\n",
    "\n",
    "    # clip\n",
    "    clip = False\n",
    "\n",
    "    # lr-scheduler\n",
    "    scheduler   = 'cosine' # cosine\n",
    "\n",
    "    # dropout\n",
    "    drop_prob   = 0.6\n",
    "    drop_cnt    = 5\n",
    "    drop_size   = 0.05\n",
    "    \n",
    "    # cut-mix-up\n",
    "    mixup_prob = 0.0\n",
    "    mixup_alpha = 0.5\n",
    "    \n",
    "    cutmix_prob = 0.0\n",
    "    cutmix_alpha = 2.5\n",
    "\n",
    "    # pixel-augment\n",
    "    pixel_aug = 0.90  # prob of pixel_aug\n",
    "    sat  = [0.7, 1.3]\n",
    "    cont = [0.8, 1.2]\n",
    "    bri  = 0.15\n",
    "    hue  = 0.05\n",
    "\n",
    "    # test-time augs\n",
    "    tta = 1\n",
    "    \n",
    "    # target column\n",
    "    target_col  = [ \"bowel_injury\", \"extravasation_injury\", \"kidney_healthy\", \"kidney_low\",\n",
    "                   \"kidney_high\", \"liver_healthy\", \"liver_low\", \"liver_high\",\n",
    "                   \"spleen_healthy\", \"spleen_low\", \"spleen_high\"] # not using \"bowel_healthy\" & \"extravasation_healthy\"\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9faf7b17",
   "metadata": {
    "papermill": {
     "duration": 0.011667,
     "end_time": "2023-10-15T17:00:23.152164",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.140497",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Reproducibility"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "288252aa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:23.180973Z",
     "iopub.status.busy": "2023-10-15T17:00:23.180687Z",
     "iopub.status.idle": "2023-10-15T17:00:23.186551Z",
     "shell.execute_reply": "2023-10-15T17:00:23.185744Z"
    },
    "papermill": {
     "duration": 0.024788,
     "end_time": "2023-10-15T17:00:23.188415",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.163627",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "seeding done!!!\n"
     ]
    }
   ],
   "source": [
    "def seeding(SEED):\n",
    "    np.random.seed(SEED)\n",
    "    random.seed(SEED)\n",
    "    os.environ['PYTHONHASHSEED'] = str(SEED)\n",
    "#     os.environ['TF_CUDNN_DETERMINISTIC'] = str(SEED)\n",
    "    tf.random.set_seed(SEED)\n",
    "    print('seeding done!!!')\n",
    "seeding(CFG.seed)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebed8efd",
   "metadata": {
    "papermill": {
     "duration": 0.011211,
     "end_time": "2023-10-15T17:00:23.211080",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.199869",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Device Configs\n",
    "This notebook is compatible for **remote-tpu**, **local-tpu**, **multi-gpu** and **single-gpu**. Simple change to `device=\"TPU\"` for **remote-tpu** and `device=\"TPU-VM\"` for **local-tpu** and finally, `device=\"GPU\"` for single or multi-gpu."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "184083fe",
   "metadata": {
    "_kg_hide-input": true,
    "_kg_hide-output": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:23.235449Z",
     "iopub.status.busy": "2023-10-15T17:00:23.234909Z",
     "iopub.status.idle": "2023-10-15T17:00:23.609695Z",
     "shell.execute_reply": "2023-10-15T17:00:23.608783Z"
    },
    "papermill": {
     "duration": 0.389022,
     "end_time": "2023-10-15T17:00:23.611456",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.222434",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using single GPU\n",
      "Num GPUs Available:  1\n",
      "REPLICAS: 1\n"
     ]
    }
   ],
   "source": [
    "if \"TPU\" in CFG.device:\n",
    "    tpu = 'local' if CFG.device=='TPU-VM' else None\n",
    "    print(\"connecting to TPU...\")\n",
    "    try:\n",
    "        tpu = tf.distribute.cluster_resolver.TPUClusterResolver.connect(tpu=tpu)\n",
    "        strategy = tf.distribute.TPUStrategy(tpu)\n",
    "    except:\n",
    "        CFG.device = \"GPU\"\n",
    "        \n",
    "if CFG.device == \"GPU\"  or CFG.device==\"CPU\":\n",
    "    ngpu = len(tf.config.experimental.list_physical_devices('GPU'))\n",
    "    if ngpu>1:\n",
    "        print(\"Using multi GPU\")\n",
    "        strategy = tf.distribute.MirroredStrategy()\n",
    "    elif ngpu==1:\n",
    "        print(\"Using single GPU\")\n",
    "        strategy = tf.distribute.get_strategy()\n",
    "    else:\n",
    "        print(\"Using CPU\")\n",
    "        strategy = tf.distribute.get_strategy()\n",
    "        CFG.device = \"CPU\"\n",
    "\n",
    "if CFG.device == \"GPU\":\n",
    "    print(\"Num GPUs Available: \", ngpu)\n",
    "    \n",
    "\n",
    "AUTO     = tf.data.experimental.AUTOTUNE\n",
    "REPLICAS = strategy.num_replicas_in_sync\n",
    "print(f'REPLICAS: {REPLICAS}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee609e7a",
   "metadata": {
    "papermill": {
     "duration": 0.011395,
     "end_time": "2023-10-15T17:00:23.634830",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.623435",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# ROOT PATH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6ba4299e",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:23.659311Z",
     "iopub.status.busy": "2023-10-15T17:00:23.658469Z",
     "iopub.status.idle": "2023-10-15T17:00:23.663500Z",
     "shell.execute_reply": "2023-10-15T17:00:23.662130Z"
    },
    "papermill": {
     "duration": 0.019484,
     "end_time": "2023-10-15T17:00:23.665705",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.646221",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "BASE_PATH = f'/kaggle/input/rsna-atd-512x512-png-v2-dataset'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abf47575",
   "metadata": {
    "papermill": {
     "duration": 0.011523,
     "end_time": "2023-10-15T17:00:23.688710",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.677187",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Meta Data\n",
    "\n",
    "The `train.csv` file contains the following meta information:\n",
    "\n",
    "- `patient_id`: A unique ID code for each patient.\n",
    "- `series_id`: A unique ID code for each scan.\n",
    "- `instance_number`: The image number within the scan. The lowest instance number for many series is above zero as the original scans were cropped to the abdomen.\n",
    "- `[bowel/extravasation]_[healthy/injury]`: The two injury types with binary targets.\n",
    "- `[kidney/liver/spleen]_[healthy/low/high]`: The three injury types with three target levels.\n",
    "- `any_injury`: Whether the patient had any injury at all.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fda59f4b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:23.713107Z",
     "iopub.status.busy": "2023-10-15T17:00:23.712300Z",
     "iopub.status.idle": "2023-10-15T17:00:23.848872Z",
     "shell.execute_reply": "2023-10-15T17:00:23.847934Z"
    },
    "papermill": {
     "duration": 0.150485,
     "end_time": "2023-10-15T17:00:23.850600",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.700115",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train:\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>bowel_healthy</th>\n",
       "      <th>bowel_injury</th>\n",
       "      <th>extravasation_healthy</th>\n",
       "      <th>extravasation_injury</th>\n",
       "      <th>kidney_healthy</th>\n",
       "      <th>kidney_low</th>\n",
       "      <th>kidney_high</th>\n",
       "      <th>liver_healthy</th>\n",
       "      <th>liver_low</th>\n",
       "      <th>...</th>\n",
       "      <th>spleen_healthy</th>\n",
       "      <th>spleen_low</th>\n",
       "      <th>spleen_high</th>\n",
       "      <th>any_injury</th>\n",
       "      <th>series_id</th>\n",
       "      <th>instance_number</th>\n",
       "      <th>injury_name</th>\n",
       "      <th>image_path</th>\n",
       "      <th>width</th>\n",
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       "      <td>1</td>\n",
       "      <td>21057</td>\n",
       "      <td>362</td>\n",
       "      <td>Active_Extravasation</td>\n",
       "      <td>/kaggle/input/rsna-atd-512x512-png-v2-dataset/...</td>\n",
       "      <td>512</td>\n",
       "      <td>512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10004</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <td>21057</td>\n",
       "      <td>363</td>\n",
       "      <td>Active_Extravasation</td>\n",
       "      <td>/kaggle/input/rsna-atd-512x512-png-v2-dataset/...</td>\n",
       "      <td>512</td>\n",
       "      <td>512</td>\n",
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       "</table>\n",
       "<p>2 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   patient_id  bowel_healthy  bowel_injury  extravasation_healthy  \\\n",
       "0       10004              1             0                      0   \n",
       "1       10004              1             0                      0   \n",
       "\n",
       "   extravasation_injury  kidney_healthy  kidney_low  kidney_high  \\\n",
       "0                     1               0           1            0   \n",
       "1                     1               0           1            0   \n",
       "\n",
       "   liver_healthy  liver_low  ...  spleen_healthy  spleen_low  spleen_high  \\\n",
       "0              1          0  ...               0           0            1   \n",
       "1              1          0  ...               0           0            1   \n",
       "\n",
       "   any_injury  series_id  instance_number           injury_name  \\\n",
       "0           1      21057              362  Active_Extravasation   \n",
       "1           1      21057              363  Active_Extravasation   \n",
       "\n",
       "                                          image_path width  height  \n",
       "0  /kaggle/input/rsna-atd-512x512-png-v2-dataset/...   512     512  \n",
       "1  /kaggle/input/rsna-atd-512x512-png-v2-dataset/...   512     512  \n",
       "\n",
       "[2 rows x 21 columns]"
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Test:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>image_path</th>\n",
       "      <th>patient_id</th>\n",
       "      <th>series_id</th>\n",
       "      <th>instance_number</th>\n",
       "      <th>width</th>\n",
       "      <th>height</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/kaggle/input/rsna-atd-512x512-png-v2-dataset/...</td>\n",
       "      <td>63706</td>\n",
       "      <td>39279</td>\n",
       "      <td>30</td>\n",
       "      <td>512</td>\n",
       "      <td>512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/kaggle/input/rsna-atd-512x512-png-v2-dataset/...</td>\n",
       "      <td>50046</td>\n",
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       "      <td>30</td>\n",
       "      <td>512</td>\n",
       "      <td>512</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                                          image_path  patient_id  series_id  \\\n",
       "0  /kaggle/input/rsna-atd-512x512-png-v2-dataset/...       63706      39279   \n",
       "1  /kaggle/input/rsna-atd-512x512-png-v2-dataset/...       50046      24574   \n",
       "\n",
       "   instance_number  width  height  \n",
       "0               30    512     512  \n",
       "1               30    512     512  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# train\n",
    "df = pd.read_csv(f'{BASE_PATH}/train.csv')\n",
    "df['image_path'] = f'{BASE_PATH}/train_images'\\\n",
    "                    + '/' + df.patient_id.astype(str)\\\n",
    "                    + '/' + df.series_id.astype(str)\\\n",
    "                    + '/' + df.instance_number.astype(str) +'.png'\n",
    "df = df.drop_duplicates()\n",
    "print('Train:')\n",
    "display(df.head(2))\n",
    "\n",
    "# test\n",
    "test_df = pd.read_csv(f'{BASE_PATH}/test.csv')\n",
    "test_df['image_path'] = f'{BASE_PATH}/test_images'\\\n",
    "                    + '/' + test_df.patient_id.astype(str)\\\n",
    "                    + '/' + test_df.series_id.astype(str)\\\n",
    "                    + '/' + test_df.instance_number.astype(str) +'.png'\n",
    "test_df = test_df.drop_duplicates()\n",
    "print('\\nTest:')\n",
    "display(test_df.head(2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1167f1f",
   "metadata": {
    "papermill": {
     "duration": 0.011927,
     "end_time": "2023-10-15T17:00:23.875234",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.863307",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Check If Data Exist?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4b02faf2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:23.901165Z",
     "iopub.status.busy": "2023-10-15T17:00:23.900169Z",
     "iopub.status.idle": "2023-10-15T17:00:23.912296Z",
     "shell.execute_reply": "2023-10-15T17:00:23.911417Z"
    },
    "papermill": {
     "duration": 0.026849,
     "end_time": "2023-10-15T17:00:23.914005",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.887156",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(True, True)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tf.io.gfile.exists(df.image_path.iloc[0]), tf.io.gfile.exists(test_df.image_path.iloc[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9fc4e09",
   "metadata": {
    "papermill": {
     "duration": 0.011825,
     "end_time": "2023-10-15T17:00:23.938331",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.926506",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Train-Test Ditribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b362354a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:23.963947Z",
     "iopub.status.busy": "2023-10-15T17:00:23.963139Z",
     "iopub.status.idle": "2023-10-15T17:00:23.968312Z",
     "shell.execute_reply": "2023-10-15T17:00:23.967422Z"
    },
    "papermill": {
     "duration": 0.019706,
     "end_time": "2023-10-15T17:00:23.970079",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.950373",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train_files: 12029\n",
      "test_files: 3\n"
     ]
    }
   ],
   "source": [
    "print('train_files:',df.shape[0])\n",
    "print('test_files:',test_df.shape[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90ff54b8",
   "metadata": {
    "papermill": {
     "duration": 0.011959,
     "end_time": "2023-10-15T17:00:23.994033",
     "exception": false,
     "start_time": "2023-10-15T17:00:23.982074",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Class Dependency\n",
    "\n",
    "In the context of our analysis, class dependencies refer to inherent relationships between different classes. For instance, the status of a scan cannot be simultaneously classified as `injured` and `healthy`. This correlation becomes evident when we visualize the data through a heatmap. It's worth noting that identifying and understanding these relationships allow us to simplify our model by removing redundant information.\n",
    "\n",
    "## Dependencies Between `injury` and `healthy` in `bowel` and`extravasation`\n",
    "\n",
    "A key observation from our data visualizations is the perfect complementarity between `bowel_injury` and `bowel_healthy`, as well as between `extravasation_injury` and `extravasation_healthy`. This essentially means that the sum of each pair will always equal `1.0`. \n",
    "\n",
    "For the purpose of our model, we will leverage this relationship by only including `{bowel/extravasation}_injury` as variables. We can then calculate the complementary `healthy` status by applying a `sigmoid` function to the corresponding `injury` status.\n",
    "\n",
    "## Dependencies Between `healthy`, `low`, and `high` in `kidney`, `liver`, and `spleen` \n",
    "\n",
    "Another notable relationship in our data pertains to the `{kidney/liver/spleen}_[healthy/low/high]` classifications. These variables are \"softmaxed,\" meanining that the combined probabilities of `healthy`, `low`, and `high` for each organ (`kidney`, `liver`, and `spleen`) sum up to `1.0`.  \n",
    "\n",
    "In our model, we will apply the `softmax` function to these variables, effectively reducing the complexity of the model while preserving the essential information for each classification.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b6fe0f8a",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:24.020170Z",
     "iopub.status.busy": "2023-10-15T17:00:24.019536Z",
     "iopub.status.idle": "2023-10-15T17:00:24.931360Z",
     "shell.execute_reply": "2023-10-15T17:00:24.930497Z"
    },
    "papermill": {
     "duration": 0.927993,
     "end_time": "2023-10-15T17:00:24.934158",
     "exception": false,
     "start_time": "2023-10-15T17:00:24.006165",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x900 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.set_theme(style=\"white\")\n",
    "\n",
    "# Compute the correlation matrix\n",
    "corr = df[df.columns[1:14]].corr().round(2)\n",
    "\n",
    "# Generate a mask for the upper triangle\n",
    "mask = np.triu(np.ones_like(corr, dtype=bool))\n",
    "\n",
    "# Generate a custom diverging colormap\n",
    "cmap = sns.diverging_palette(230, 20, as_cmap=True)\n",
    "\n",
    "# Set up the matplotlib figure\n",
    "f, ax = plt.subplots(figsize=(11, 9))\n",
    "\n",
    "# Draw the heatmap with the mask and correct aspect ratio\n",
    "sns.heatmap(corr, mask=mask, annot=True, cmap=cmap, vmax=.3, center=0,\n",
    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5})\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08cf24f6",
   "metadata": {
    "papermill": {
     "duration": 0.01404,
     "end_time": "2023-10-15T17:00:24.962512",
     "exception": false,
     "start_time": "2023-10-15T17:00:24.948472",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Data Split\n",
    "* Data is splited while stratifying, 'laterality', 'view', 'age','cancer', 'biopsy', 'invasive', 'BIRADS', 'implant', 'density','machine_id', 'difficult_negative_case','cancer'.\n",
    "* To avoid leakage, data is also split keeping images from same patient in either train or valid not in both.\n",
    "* `StratifiedGroupKFold` does the both job **stratifying** and **group** split.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4d5e7c4f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:24.992348Z",
     "iopub.status.busy": "2023-10-15T17:00:24.992059Z",
     "iopub.status.idle": "2023-10-15T17:00:25.148004Z",
     "shell.execute_reply": "2023-10-15T17:00:25.146666Z"
    },
    "papermill": {
     "duration": 0.173253,
     "end_time": "2023-10-15T17:00:25.149725",
     "exception": false,
     "start_time": "2023-10-15T17:00:24.976472",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/sklearn/model_selection/_split.py:909: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "fold  patient_id\n",
       "0.0   43            53\n",
       "      263           12\n",
       "      2602          17\n",
       "      4331          27\n",
       "      5337           2\n",
       "                    ..\n",
       "3.0   60993         29\n",
       "      62179         21\n",
       "      63665         71\n",
       "      64091          9\n",
       "      65456         16\n",
       "Length: 246, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['stratify'] = ''\n",
    "for col in CFG.target_col:\n",
    "    df['stratify'] += df[col].astype(str)\n",
    "\n",
    "df = df.reset_index(drop=True)\n",
    "skf = StratifiedGroupKFold(n_splits=CFG.folds, shuffle=True, random_state=CFG.seed)\n",
    "for fold, (train_idx, val_idx) in enumerate(skf.split(df, df['stratify'], df[\"patient_id\"])):\n",
    "    df.loc[val_idx, 'fold'] = fold\n",
    "display(df.groupby(['fold', 'patient_id']).size())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7b04cfe",
   "metadata": {
    "papermill": {
     "duration": 0.014124,
     "end_time": "2023-10-15T17:00:25.178466",
     "exception": false,
     "start_time": "2023-10-15T17:00:25.164342",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Data Augmentation\n",
    "Used simple augmentations, some of them may hurt the model.\n",
    "* RandomFlip (Left-Right)\n",
    "* No Rotation\n",
    "* RandomBrightness\n",
    "* RndomContrast\n",
    "* Shear\n",
    "* Zoom\n",
    "* Coarsee Dropout/Cutout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e80c4cdc",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:25.208803Z",
     "iopub.status.busy": "2023-10-15T17:00:25.208355Z",
     "iopub.status.idle": "2023-10-15T17:00:25.224672Z",
     "shell.execute_reply": "2023-10-15T17:00:25.223767Z"
    },
    "papermill": {
     "duration": 0.03381,
     "end_time": "2023-10-15T17:00:25.226365",
     "exception": false,
     "start_time": "2023-10-15T17:00:25.192555",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def get_mat(shear, height_zoom, width_zoom, height_shift, width_shift):\n",
    "    # returns 3x3 transformmatrix which transforms indicies\n",
    "        \n",
    "    # CONVERT DEGREES TO RADIANS\n",
    "    #rotation = math.pi * rotation / 180.\n",
    "    shear    = math.pi * shear    / 180.\n",
    "\n",
    "    def get_3x3_mat(lst):\n",
    "        return tf.reshape(tf.concat([lst],axis=0), [3,3])\n",
    "    \n",
    "    # ROTATION MATRIX\n",
    "#     c1   = tf.math.cos(rotation)\n",
    "#     s1   = tf.math.sin(rotation)\n",
    "    one  = tf.constant([1],dtype='float32')\n",
    "    zero = tf.constant([0],dtype='float32')\n",
    "    \n",
    "#     rotation_matrix = get_3x3_mat([c1,   s1,   zero, \n",
    "#                                    -s1,  c1,   zero, \n",
    "#                                    zero, zero, one])    \n",
    "    # SHEAR MATRIX\n",
    "    c2 = tf.math.cos(shear)\n",
    "    s2 = tf.math.sin(shear)    \n",
    "    \n",
    "    shear_matrix = get_3x3_mat([one,  s2,   zero, \n",
    "                               zero, c2,   zero, \n",
    "                                zero, zero, one])        \n",
    "    # ZOOM MATRIX\n",
    "    zoom_matrix = get_3x3_mat([one/height_zoom, zero,           zero, \n",
    "                               zero,            one/width_zoom, zero, \n",
    "                               zero,            zero,           one])    \n",
    "    # SHIFT MATRIX\n",
    "    shift_matrix = get_3x3_mat([one,  zero, height_shift, \n",
    "                                zero, one,  width_shift, \n",
    "                                zero, zero, one])\n",
    "    \n",
    "\n",
    "    return  K.dot(shear_matrix,K.dot(zoom_matrix, shift_matrix)) #K.dot(K.dot(rotation_matrix, shear_matrix), K.dot(zoom_matrix, shift_matrix))                  \n",
    "\n",
    "def transform(image, DIM=CFG.img_size):#[rot,shr,h_zoom,w_zoom,h_shift,w_shift]):\n",
    "    if DIM[0]>DIM[1]:\n",
    "        diff  = (DIM[0]-DIM[1])\n",
    "        pad   = [diff//2, diff//2 + diff%2]\n",
    "        image = tf.pad(image, [[0, 0], [pad[0], pad[1]],[0, 0]])\n",
    "        NEW_DIM = DIM[0]\n",
    "    elif DIM[0]<DIM[1]:\n",
    "        diff  = (DIM[1]-DIM[0])\n",
    "        pad   = [diff//2, diff//2 + diff%2]\n",
    "        image = tf.pad(image, [[pad[0], pad[1]], [0, 0],[0, 0]])\n",
    "        NEW_DIM = DIM[1]\n",
    "    \n",
    "    rot = CFG.rot * tf.random.normal([1], dtype='float32')\n",
    "    shr = CFG.shr * tf.random.normal([1], dtype='float32') \n",
    "    h_zoom = 1.0 + tf.random.normal([1], dtype='float32') / CFG.hzoom\n",
    "    w_zoom = 1.0 + tf.random.normal([1], dtype='float32') / CFG.wzoom\n",
    "    h_shift = CFG.hshift * tf.random.normal([1], dtype='float32') \n",
    "    w_shift = CFG.wshift * tf.random.normal([1], dtype='float32') \n",
    "    \n",
    "    transformation_matrix=tf.linalg.inv(get_mat(shr,h_zoom,w_zoom,h_shift,w_shift))\n",
    "    \n",
    "    flat_tensor=tfa.image.transform_ops.matrices_to_flat_transforms(transformation_matrix)\n",
    "    \n",
    "    image=tfa.image.transform(image,flat_tensor, fill_mode=CFG.fill_mode)\n",
    "    \n",
    "    rotation = math.pi * rot / 180.\n",
    "    \n",
    "    image=tfa.image.rotate(image,-rotation, fill_mode=CFG.fill_mode)\n",
    "    \n",
    "    if DIM[0]>DIM[1]:\n",
    "        image=tf.reshape(image, [NEW_DIM, NEW_DIM,3])\n",
    "        image = image[:, pad[0]:-pad[1],:]\n",
    "    elif DIM[1]>DIM[0]:\n",
    "        image=tf.reshape(image, [NEW_DIM, NEW_DIM,3])\n",
    "        image = image[pad[0]:-pad[1],:,:]\n",
    "    image = tf.reshape(image, [*DIM, 3])    \n",
    "    return image\n",
    "\n",
    "def dropout(image,DIM=CFG.img_size, PROBABILITY = 0.6, CT = 5, SZ = 0.1):\n",
    "    # input image - is one image of size [dim,dim,3] not a batch of [b,dim,dim,3]\n",
    "    # output - image with CT squares of side size SZ*DIM removed\n",
    "    \n",
    "    # DO DROPOUT WITH PROBABILITY DEFINED ABOVE\n",
    "    P = tf.cast( tf.random.uniform([],0,1)<PROBABILITY, tf.int32)\n",
    "    if (P==0)|(CT==0)|(SZ==0): \n",
    "        return image\n",
    "    \n",
    "    for k in range(CT):\n",
    "        # CHOOSE RANDOM LOCATION\n",
    "        x = tf.cast( tf.random.uniform([],0,DIM[1]),tf.int32)\n",
    "        y = tf.cast( tf.random.uniform([],0,DIM[0]),tf.int32)\n",
    "        # COMPUTE SQUARE \n",
    "        WIDTH = tf.cast( SZ*min(DIM),tf.int32) * P\n",
    "        ya = tf.math.maximum(0,y-WIDTH//2)\n",
    "        yb = tf.math.minimum(DIM[0],y+WIDTH//2)\n",
    "        xa = tf.math.maximum(0,x-WIDTH//2)\n",
    "        xb = tf.math.minimum(DIM[1],x+WIDTH//2)\n",
    "        # DROPOUT IMAGE\n",
    "        one = image[ya:yb,0:xa,:]\n",
    "        two = tf.zeros([yb-ya,xb-xa,3], dtype = image.dtype) \n",
    "        three = image[ya:yb,xb:DIM[1],:]\n",
    "        middle = tf.concat([one,two,three],axis=1)\n",
    "        image = tf.concat([image[0:ya,:,:],middle,image[yb:DIM[0],:,:]],axis=0)\n",
    "        image = tf.reshape(image,[*DIM,3])\n",
    "\n",
    "#     image = tf.reshape(image,[*DIM,3])\n",
    "    return image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7b23c20",
   "metadata": {
    "papermill": {
     "duration": 0.014372,
     "end_time": "2023-10-15T17:00:25.255058",
     "exception": false,
     "start_time": "2023-10-15T17:00:25.240686",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## CutMixUp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "793b5b10",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
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     "status": "completed"
    },
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   },
   "outputs": [],
   "source": [
    "def random_int(shape=[], minval=0, maxval=1):\n",
    "    return tf.random.uniform(\n",
    "        shape=shape, minval=minval, maxval=maxval, dtype=tf.int32)\n",
    "\n",
    "\n",
    "def random_float(shape=[], minval=0.0, maxval=1.0):\n",
    "    rnd = tf.random.uniform(\n",
    "        shape=shape, minval=minval, maxval=maxval, dtype=tf.float32)\n",
    "    return rnd\n",
    "\n",
    "# mixup\n",
    "def get_mixup(alpha=0.2, prob=0.5):\n",
    "    @tf.function\n",
    "    def mixup(images, labels, alpha=alpha, prob=prob):\n",
    "        if random_float() > prob:\n",
    "            return images, labels\n",
    "\n",
    "        image_shape = tf.shape(images)\n",
    "        label_shape = tf.shape(labels)\n",
    "\n",
    "        beta = tfp.distributions.Beta(alpha, alpha)\n",
    "        lam = beta.sample(1)[0]\n",
    "\n",
    "        images = lam * images + (1.0 - lam) * tf.roll(images, shift=1, axis=0)\n",
    "        labels = lam * labels + (1.0 - lam) * tf.roll(labels, shift=1, axis=0)\n",
    "\n",
    "        images = tf.reshape(images, image_shape)\n",
    "        labels = tf.reshape(labels, label_shape)\n",
    "        return images, labels\n",
    "    return mixup\n",
    "\n",
    "# cutmix\n",
    "def get_cutmix(alpha, prob=0.5):\n",
    "    @tf.function\n",
    "    def cutmix(images, labels, alpha=alpha, prob=prob):\n",
    "        if random_float() > prob:\n",
    "            return images, labels\n",
    "        image_shape = tf.shape(images)\n",
    "        label_shape = tf.shape(labels)\n",
    "        \n",
    "        W = tf.cast(image_shape[2], tf.int32)\n",
    "        H = tf.cast(image_shape[1], tf.int32)\n",
    "\n",
    "        beta = tfp.distributions.Beta(alpha, alpha)\n",
    "        lam = beta.sample(1)[0]\n",
    "\n",
    "        images_rolled = tf.roll(images, shift=1, axis=0)\n",
    "        labels_rolled = tf.roll(labels, shift=1, axis=0)\n",
    "\n",
    "        r_x = random_int([], minval=0, maxval=W)\n",
    "        r_y = random_int([], minval=0, maxval=H)\n",
    "        r = 0.5 * tf.math.sqrt(1.0 - lam)\n",
    "        r_w_half = tf.cast(r * tf.cast(W, tf.float32), tf.int32)\n",
    "        r_h_half = tf.cast(r * tf.cast(H, tf.float32), tf.int32)\n",
    "\n",
    "        x1 = tf.cast(tf.clip_by_value(r_x - r_w_half, 0, W), tf.int32)\n",
    "        x2 = tf.cast(tf.clip_by_value(r_x + r_w_half, 0, W), tf.int32)\n",
    "        y1 = tf.cast(tf.clip_by_value(r_y - r_h_half, 0, H), tf.int32)\n",
    "        y2 = tf.cast(tf.clip_by_value(r_y + r_h_half, 0, H), tf.int32)\n",
    "\n",
    "        # outer-pad patch -> [0, 0, 1, 1, 0, 0]\n",
    "        patch1 = images[:, y1:y2, x1:x2, :]  # [batch, height, width, channel]\n",
    "        patch1 = tf.pad(\n",
    "            patch1, [[0, 0], [y1, H - y2], [x1, W - x2], [0, 0]])  # outer-pad\n",
    "\n",
    "        # inner-pad patch -> [1, 1, 0, 0, 1, 1]\n",
    "        patch2 = images_rolled[:, y1:y2, x1:x2, :]\n",
    "        patch2 = tf.pad(\n",
    "            patch2, [[0, 0], [y1, H - y2], [x1, W - x2], [0, 0]])  # outer-pad\n",
    "        patch2 = images_rolled - patch2  # inner-pad = img - outer-pad\n",
    "\n",
    "        images = patch1 + patch2  # cutmix img\n",
    "\n",
    "        lam = tf.cast((1.0 - (x2 - x1) * (y2 - y1) / (W * H)), tf.float32)  # no H as (y1 - y2)/H = 1\n",
    "        labels = lam * labels + (1.0 - lam) * labels_rolled  # cutmix label\n",
    "\n",
    "        images = tf.reshape(images, image_shape)\n",
    "        labels = tf.reshape(labels, label_shape)\n",
    "\n",
    "        return images, labels\n",
    "\n",
    "    return cutmix"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e875c514",
   "metadata": {
    "papermill": {
     "duration": 0.014305,
     "end_time": "2023-10-15T17:00:25.328264",
     "exception": false,
     "start_time": "2023-10-15T17:00:25.313959",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Data Pipeline\n",
    "* Reads the raw file and then decodes it to tf.Tensor\n",
    "* Resizes the image in desired size\n",
    "* Chages the datatype to **float32**\n",
    "* Caches the Data for boosting up the speed.\n",
    "* Uses Augmentations to reduce overfitting and make model more robust.\n",
    "* Finally, splits the data into batches.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "afb018cb",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def build_decoder(with_labels=True, target_size=CFG.img_size, ext='png'):\n",
    "    def decode_image(path):\n",
    "        file_bytes = tf.io.read_file(path)\n",
    "        if ext == 'png':\n",
    "            img = tf.image.decode_png(file_bytes, channels=3, dtype=tf.uint8)\n",
    "        elif ext in ['jpg', 'jpeg']:\n",
    "            img = tf.image.decode_jpeg(file_bytes, channels=3)\n",
    "        else:\n",
    "            raise ValueError(\"Image extension not supported\")\n",
    "\n",
    "        img = tf.image.resize(img, target_size, method='bilinear')\n",
    "        img = tf.cast(img, tf.float32) / 255.0\n",
    "        img = tf.reshape(img, [*target_size, 3])\n",
    "\n",
    "        return img\n",
    "    \n",
    "    def decode_label(label):\n",
    "        label = tf.cast(label, tf.float32)\n",
    "        return (label[0:1], label[1:2], label[2:5], label[5:8], label[8:11])\n",
    "    \n",
    "    def decode_with_labels(path, label):\n",
    "        return decode_image(path), decode_label(label)\n",
    "    \n",
    "    return decode_with_labels if with_labels else decode_image\n",
    "\n",
    "\n",
    "def build_augmenter(with_labels=True, dim=CFG.img_size):\n",
    "    def augment(img, dim=dim):\n",
    "        if random_float() < CFG.transform:\n",
    "            img = transform(img,DIM=dim)\n",
    "        img = tf.image.random_flip_left_right(img) if CFG.hflip else img\n",
    "        img = tf.image.random_flip_up_down(img) if CFG.vflip else img\n",
    "        if random_float() < CFG.pixel_aug:\n",
    "            img = tf.image.random_hue(img, CFG.hue)\n",
    "            img = tf.image.random_saturation(img, CFG.sat[0], CFG.sat[1])\n",
    "            img = tf.image.random_contrast(img, CFG.cont[0], CFG.cont[1])\n",
    "            img = tf.image.random_brightness(img, CFG.bri)\n",
    "        img = tf.clip_by_value(img, 0, 1)  if CFG.clip else img         \n",
    "        img = tf.reshape(img, [*dim, 3])\n",
    "        return img\n",
    "    \n",
    "    def augment_with_labels(img, label):    \n",
    "        return augment(img), label\n",
    "    \n",
    "    return augment_with_labels if with_labels else augment\n",
    "\n",
    "\n",
    "def build_dataset(paths, labels=None, batch_size=4, cache=True,\n",
    "                  decode_fn=None, augment_fn=None,\n",
    "                  augment=True, repeat=True, shuffle=1024, \n",
    "                  cache_dir=\"\", drop_remainder=False):\n",
    "    if cache_dir != \"\" and cache is True:\n",
    "        os.makedirs(cache_dir, exist_ok=True)\n",
    "    \n",
    "    if decode_fn is None:\n",
    "        decode_fn = build_decoder(labels is not None)\n",
    "    \n",
    "    if augment_fn is None:\n",
    "        augment_fn = build_augmenter(labels is not None)\n",
    "    \n",
    "    AUTO = tf.data.experimental.AUTOTUNE\n",
    "    slices = paths if labels is None else (paths, labels)\n",
    "    \n",
    "    ds = tf.data.Dataset.from_tensor_slices(slices)\n",
    "    ds = ds.map(decode_fn, num_parallel_calls=AUTO)\n",
    "    ds = ds.cache(cache_dir) if cache else ds\n",
    "    ds = ds.repeat() if repeat else ds\n",
    "    if shuffle: \n",
    "        ds = ds.shuffle(shuffle, seed=CFG.seed)\n",
    "        opt = tf.data.Options()\n",
    "        opt.experimental_deterministic = False\n",
    "        ds = ds.with_options(opt)\n",
    "    ds = ds.map(augment_fn, num_parallel_calls=AUTO) if augment else ds\n",
    "    if augment and labels is not None:\n",
    "        ds = ds.map(lambda img, label: (dropout(img, \n",
    "                                               DIM=CFG.img_size, \n",
    "                                               PROBABILITY=CFG.drop_prob, \n",
    "                                               CT=CFG.drop_cnt,\n",
    "                                               SZ=CFG.drop_size), label),num_parallel_calls=AUTO)\n",
    "    ds = ds.batch(batch_size, drop_remainder=drop_remainder)\n",
    "    if augment and labels is not None:\n",
    "        if CFG.cutmix_prob:\n",
    "            ds = ds.map(get_cutmix(alpha=CFG.cutmix_alpha,prob=CFG.cutmix_prob),num_parallel_calls=AUTO)\n",
    "        if CFG.mixup_prob:\n",
    "            ds = ds.map(get_mixup(alpha=CFG.mixup_alpha,prob=CFG.mixup_prob),num_parallel_calls=AUTO)\n",
    "    ds = ds.prefetch(AUTO)\n",
    "    return ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50a6c7b4",
   "metadata": {
    "papermill": {
     "duration": 0.014138,
     "end_time": "2023-10-15T17:00:25.401969",
     "exception": false,
     "start_time": "2023-10-15T17:00:25.387831",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Visualization\n",
    "* Check if augmentation is working properly or not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "806b2b24",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:25.432027Z",
     "iopub.status.busy": "2023-10-15T17:00:25.431676Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def display_batch(batch, size=2):\n",
    "    if isinstance(batch, tuple):\n",
    "        imgs, tars = batch\n",
    "    else:\n",
    "        imgs = batch\n",
    "        tars = None\n",
    "    tars = tf.concat(tars,axis=-1).numpy()\n",
    "    plt.figure(figsize=(size*5, 10))\n",
    "    for img_idx in range(size):\n",
    "        plt.subplot(1, size, img_idx+1)\n",
    "        if tars is not None:\n",
    "            plt.title(f'{tars[img_idx].round(2)}', fontsize=12)\n",
    "        img = imgs[img_idx,]\n",
    "        plt.imshow(img)\n",
    "        plt.xticks([]); plt.yticks([])\n",
    "    plt.tight_layout()\n",
    "    plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5feadc1",
   "metadata": {
    "papermill": {
     "duration": 0.014208,
     "end_time": "2023-10-15T17:00:25.467374",
     "exception": false,
     "start_time": "2023-10-15T17:00:25.453166",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Generate Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7f229827",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:25.498141Z",
     "iopub.status.busy": "2023-10-15T17:00:25.497363Z",
     "iopub.status.idle": "2023-10-15T17:00:28.498948Z",
     "shell.execute_reply": "2023-10-15T17:00:28.497939Z"
    },
    "papermill": {
     "duration": 3.019346,
     "end_time": "2023-10-15T17:00:28.501212",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "fold = 0\n",
    "fold_df = df[df.fold==fold].sample(frac=1.0)\n",
    "paths  = fold_df.image_path.tolist()\n",
    "labels = fold_df[CFG.target_col].values\n",
    "ds = build_dataset(paths, labels, cache=False, batch_size=4,\n",
    "                   repeat=True, shuffle=True, augment=False)\n",
    "ds = ds.unbatch().batch(20)\n",
    "batch = next(iter(ds))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9511b1ff",
   "metadata": {
    "papermill": {
     "duration": 0.014291,
     "end_time": "2023-10-15T17:00:28.530505",
     "exception": false,
     "start_time": "2023-10-15T17:00:28.516214",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## No-Augmentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f8714080",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:28.561044Z",
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     "exception": false,
     "start_time": "2023-10-15T17:00:28.544858",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display_batch(batch, 3);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ecb962d",
   "metadata": {
    "papermill": {
     "duration": 0.018236,
     "end_time": "2023-10-15T17:00:29.156324",
     "exception": false,
     "start_time": "2023-10-15T17:00:29.138088",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## MixUp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2f504fe0",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:29.194502Z",
     "iopub.status.busy": "2023-10-15T17:00:29.194203Z",
     "iopub.status.idle": "2023-10-15T17:00:29.198105Z",
     "shell.execute_reply": "2023-10-15T17:00:29.197520Z"
    },
    "papermill": {
     "duration": 0.024959,
     "end_time": "2023-10-15T17:00:29.199656",
     "exception": false,
     "start_time": "2023-10-15T17:00:29.174697",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# mixup = get_mixup(alpha=2.5, prob=1)\n",
    "# mimgs, mtars = mixup(batch[0], batch[1])\n",
    "# display_batch((mimgs, mtars), 3);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05efb2eb",
   "metadata": {
    "papermill": {
     "duration": 0.017956,
     "end_time": "2023-10-15T17:00:29.236664",
     "exception": false,
     "start_time": "2023-10-15T17:00:29.218708",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## CutMix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e642ebcd",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:29.275178Z",
     "iopub.status.busy": "2023-10-15T17:00:29.274866Z",
     "iopub.status.idle": "2023-10-15T17:00:29.278898Z",
     "shell.execute_reply": "2023-10-15T17:00:29.277997Z"
    },
    "papermill": {
     "duration": 0.025226,
     "end_time": "2023-10-15T17:00:29.280502",
     "exception": false,
     "start_time": "2023-10-15T17:00:29.255276",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# cutmix = get_cutmix(alpha=2.5, prob=1)\n",
    "# cimgs, ctars = cutmix(batch[0], batch[1])\n",
    "# display_batch((cimgs, ctars), 3);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "607241e5",
   "metadata": {
    "papermill": {
     "duration": 0.018242,
     "end_time": "2023-10-15T17:00:29.316998",
     "exception": false,
     "start_time": "2023-10-15T17:00:29.298756",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Dropout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b894ada5",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:29.355290Z",
     "iopub.status.busy": "2023-10-15T17:00:29.354673Z",
     "iopub.status.idle": "2023-10-15T17:00:31.521899Z",
     "shell.execute_reply": "2023-10-15T17:00:31.521100Z"
    },
    "papermill": {
     "duration": 2.190611,
     "end_time": "2023-10-15T17:00:31.525986",
     "exception": false,
     "start_time": "2023-10-15T17:00:29.335375",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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nfurU9RQEQdBZhI29cOECfuqnfgrf+73fi+///u9HNpvFX/pLfwnf+q3fOnX+crHb59NuA6fHxordFgThJDgtvvF5tl3n3R7+2I/9GG7cuKH+/7Vf+zUVbf9FX/RFSjBPwj/+x/8Y1WoVP/MzP4Of+7mfw7Vr1/B93/d9+MIv/MKp67mIMoXzTTDWs+IL545v/dZvxe/93u/h537u55DJZFCpVJZdJUEQGI1GA71eD1//9V+PRqOBD3zgA8uukiAIS0TstiCsNmK3BUHgiN0WhNWm1Wqh0+ngO7/zO/Gbv/mb+OM//uNlV0lYASSHuQAAuHnzJt7xjnfg3e9+97KrIgiCxj/9p/8U73jHO8RwC4KgELstCKuL2G1BEHTEbgvC6vKDP/iDeMc73oFf+qVfWnZVhBVCIswFfPzjH1f5qIrFIj7pkz5puRUSBGGCj3zkI2pBXXlGBUEQuy0Iq43YbUEQOGK3BWG1eemll9Ti9ul0Gm9/+9uXXCNhFRDBXBAEQRAEQRAEQRAEQRAEQRAgKVkEQRAEQRAEQRAEQRAEQRAEAYAI5oIgCIIgCIIgCIIgCIIgCIIAQARzQRAEQRAEQRAEQRAEQRAEQQAAZHw2+pRP+RT0ej1sbW0tuj6CIAiCcG65e/cucrkc/vAP/3CmcsRuC4IgCMLiEbstCIIgCKeHJHbbSzDvdrvodrv4xCc+MXPlBEEQBEEwk81mMY+1uMVuC4IgCMLiEbstCMsnCAKk02mkUuYECkEQIJVKqd9x8Gc6CIK51dOH0WiE8Xisftu2GQwGJ1ovQTgrJLHbXoL59vY2PvGJT+Dll1+epV6CIAiCIDi4du0arly5MnM5YrcFQRAEYfGI3RaE+UPidzqdVoI1F8XT6fTE9kEQYGdnB2EYGsvL5XIoFosoFArWbTjLFMzb7TY6nQ5arRZ6vZ5xm1arhYODg4dEv+FwiNFohOFwqL4bj8cTnwvCeSeJ3fYSzAVBEARBEARBEARBEARhkURRhHw+j2q1ikwmg/F4jGw2i2q1ikKhgFKp9NA+FDlOArdJ9D5p8XsaCoWCOnfgwXno5/Xkk08+tG+9Xken08Hx8TH6/T4AYDAY4Pj4GN1uF8fHxydxCoJwZhDBXBAEQRAEQRAEQRAEQVgYQRAgm80ilUohm82qz/P5PPL5vPq/WCyqqPB0Oo3xeIxMJqM+p33H4/FCRPBlCutBEHgdX4+yB+6L7RSVTylbRqMR8vk8+v0+yuWy2pbSQBH9fh+j0Qj9fn8uaaYE4SwggrkgCIIgCIIgCIIgCIKwMFKpFEqlEgqFAiqVihKGt7a2sLW19VA0tYnTECW+LMIwRBiGqFQqxu95+965cwd7e3vq86OjI3S7XRwdHUnqFkH4/xHBXBAEQRAEQRAEQRAEQZiJTCaDbDaLXC6HdDqNfD6vfmcyGRQKBWQyGZVLPAgCFItF78hqwU5c+/HvoyiayHMeRREGgwE2NzcxHA7R7XbV78FggH6/j36/L4uNCucKEcwFQRAEQRAEQRAEQRCEmcjlcoiiCOVyGYVCAdVqFfl8HrVaDZnMffnJJ5JcWCylUsmYCx64n/f88PBQRZy32200Gg00m00RzIVzhQjmgiAIgiAIgiAIgiAIgpMgCCaixPnvQqGAbDaLTCbzUIQ5LcpJZQirSyqVQhRFKBQKKBQKGA6HKsK83++j0+mo34PBAO12G4PBAJ1OR/KfC2cKEcwFQRAEQRAEQRAEQRAEJ6lUCmEYIp/Po1qtqnzkYRiiVCqdqBguwvtioGsMwBiFXq/X0W63cXx8jE6no/Kfd7tdEcyFM4UI5oIgCIIgCIIgCIIgCIIin88jn88jDEPkcjlsbm6qKPJUKoVsNot0Oo1MJoN0Or3s6gonBN0DxWIRw+EQu7u7GI1GKup8b28PvV4P7XZbCemCcBoRwVwQBEEQBEEQBEEQBOGcQtHaqVRK/V0oFBCGocpHfuHCBRSLxWVWU1gBstksstms8TvKc97pdNR9NBwOVeT5aDQCAIlEF04FIpgLgiAIgiAIgiAIgiCcQ9LpNEqlEorFInZ2dpDP51EsFpFKpZBOp1UO8lwut+yqCitOoVDAI488gtFohOFwqH63Wi10u13cvn0bzWYTjUZDieeCsKqIYC4IgiAIgiAIgiAIgnDGCYIAQRCoSPJMJoNMJoNSqYRSqYRarYZCoYAoimJzhPMoYcknLgD3J18o/zkxHo+Rz+fR6XTQarWQSqUwHo8xGAwwGAwwHo8xGo0wHo8l8lxYKUQwFwRBEARBEARBEARBOONEUYR8Pq/SrFy6dAm5XA7pdFoJ6CJ+C/OmWCyq9D6j0Qij0Qi9Xg83btxAp9NBvV5Hp9NBs9lcdlUFQSGCuSAIgiAIgiAIgiAIwhkjnU6rnNOZTEYJ5lEUoVAooFQqWfNRn1VarRY6nU7sdjRxYIqkTxoJHbdfoVA4s/nh6a0GABOLw2azWVQqFeRyOaRSKbW47GAwQL/fR7/fx3A4XFa1BUEEc0EQBEEQBEEQBEEQhLNGuVzGzs4Otra2sL6+PiFeUmqW08J4PJ45+n08HuNjH/sYXn755flUak5cv34dzz333LKrcaJks1lcunQJAFQ6lvF4jHv37mFvbw+3bt3C0dHRkmspnGdEMBeEc0gQBJIfTBAEQRAEQRAE4YxAUeRhGKrIcspLXiwWJxbtJF9w3ulXFlVu0jJd9RgOh+j3+3Or1zzwjaQ+S3njgyCYiDgnoihSuc2jKFKR5u12W0WfC8JJIIK5IKwYLsPHvzMJ3j6viFFUgb6ohr4v/1+vk618076CIAiCIAiCIAjC4kilUiiVSoiiCFevXkUYhqhUKqdeVJ0G8UFPN+VyGeVyWUWfHx8fo91u45VXXkGz2cTR0RFGo9GSaymcB0QwF4QTgkd1TzNwiRPLTdvq200rZPu+/qZv49pHBjKCIAjCaSSVSqk8sKVSCel0Gul0Wi2aRlBE1GAwUPvxV+E59Fp8pVLBaDRCvV6fylbr9Pt9DAYD7O/vo91uJzxTQRAEYZWhfOSVSgXZbFblgI6iCNlsduHpVnx92nmkUhHODzxlEADk83mkUins7u6i1+thc3MTvV4P9Xod3W5XFgoVFoYI5oKwAOKEY5f4nUQYnxUu4tNAxlRXPRo9rkwqz/S57diCIAiCcBpIp9MoFovY3d3FpUuXlEDBF64ajUZoNBro9/toNptIpVJKWE+n0w9NoAdBgGw2i0cffRSDwQCvvPJKooWubHa00Wig2Wziwx/+sAjmgiAIZ4xarYa1tTUVUc5Zpn91kv7sWSGJr33eJiDCMFRvTBDNZhOvvvoqDg8PRTAXFoYI5oIwJbYUJvMqmwyhbjwXNeiY5Xz4viYDbisrCAKMRiOvSHTJuy4IgiDMi1wuh7W1NWQyGRWFR1HeQRBgY2MDhUIB6XQaQRBgOByq7zOZDPL5vBIqarUaSqUSyuUycrkcut0uer0e9vf3MRgMMBwOkUqlkMvlHlpgjUedp1Ip1Go1jEYjbGxsYDQaKbuqv3rsmnTm3/X7ffR6PTz99NNotVrGtmg2m7h9+zZ6vR56vZ76nI598+ZNtFottNttscOCIAhLJAxDla6iWCyiXC4jn88jm80+tO2yor8XIeSepbzd80Da4P44bnt7G5VKBevr62g2m2g0GqjX6xIgIMwNEcwFISH6K0L657M4k9MOWHxzjE97HF2sjhPITcePE+JNKWvO2+y5IAiCsBh0W5LL5bC5uYlCoYBisfhQBPj169dRrVaRzWYRBIFKq5LJZJBOp5HJZNS+29vbqNVqKJfLyGQyODo6QqfTwe3btzEcDtX2JJhTfbhATyK6PsYYjUbqx8fm2qL6bG+KBUGAvb09fOhDH0K73Ua9Xp/4fjgcotvtAgB6vZ4x6l1EdEEQhJMhDENsbm5iZ2cHGxsby66OF742a5HHPC2I7+tPNpudeAb29vZw584dDAYDEcyFuSGCuSAYMInf3HjFLcw5q2jugymdil6/JNHpehnT5i2fZTuTMJ9kUCVOuyAIwvmF8ohXq1VUq1UA9+3G5uYmwjBEoVBQwnQ2m1U5XvP5PDKZDDKZ+8Pi8XisxO3BYDAhbmezWXWccrmMarWKcrmMQqGATqeD4XCIvb09dLvdichyPZI8nU6rzwCoCHI9PVomk8FoNMJwOFTCuS6uE6bP9fEACe/8eNVqFc8++yyGwyH6/b7al7Z705vepKLPqZx6vY7XXnsN3W5XRZ+3223cvn37IdFdEARBmI5sNoutrS0Ui0VsbGwgl8uhUCigUCgsu2pLQ0RlwQS95bexsYFer4d79+6h2Wxib29vYmwjCEkQwVwQNMhRTWqMT8p4L/IYJoHdJ9p7nhHt06SC0Y8hwrkgCMLZhGw09fc8vQkJCbVaDVtbW2q7K1euoFwuI4oilWKFC9fZbBbZbFaJ06PRCO12W6VTAe4L13wfSstCC65lMhl0Oh21+FSv11PHot9U/1QqpcoB4Jz8pvPj0eX6D33OBXjeRtw28oh14L6AXiwWVe5bXhc9DQyvx/7+PqIoQrPZxPHxMer1Our1Olqt1oSwTgK9q0xBEAThAbx/z+fzahL40qVLJ5Y6ZdVEaT2IatXqt2jO2/lOQz6fVwvg0r2SzWZxfHw88Zae6ARCEkQwF84lSaOdfYz0NGLtNB22KbVJEjHa5pjbto+LmHeVE3c8vU35fvpnts9tr5jb6ioIgiCcToIgwKVLl1AqlVSE3cWLF5HNZifyg1NeciKfz6tUKzy6mz4noXwwGKDX62EwGKDf708I1DwVSxiGqNVqqNVqqFarCIIAvV4PR0dHaLVaKrI8n89PRH2TeJ7JZJS4zdOtmM5XT9cyGo2Qy+WU2A5Aifr6+fEf/hmAh4T44XCI4XCoJgko2pw+40L7cDhEtVrFc889N7HfYDDA0dER2u02ms0mOp0OPvGJT0xMJNy8eRO9Xg+dTmcxN4kgCMIpJggC7O7uIooi7O7uIpfLqUnZk+Ik/SURgv2QNkrO9vY21tfXcfHiRXS7Xdy8eVOt2SKagOCLCObCucWW51MXiWc1UEmEbR4RNi1xAw+bAD5rKhkffKLAk0b1x6FHyIuBFARBWF14RLZJ7N3c3FSLnYVhiMuXLytBgUcOmfp6EqlJPCfhOpVKKSGYxF9TRDfVJZfLIQxD5PN55HI59Ho9tbgmLZpJ2+pjAD0S3JVbXP9N+5F4ry8IahLJqe3oXE1R71SGTTDv9/sYjUbq92AwUKls+P60WGm/35+INqeULfV6Hd1uV6VxoePQhAFvd0EQhPMC77MzmYxa1HNjY8O4mOciOYn+d1p/7DyIxufhHE8CejuD3gTs9/tot9tIp9Oo1+tqrMPfuBMEEyKYC2ce7mxOI4K7cmrHHdNWxjTHTnqcJPvxz01pWeKiyH3Ld0Xm69vZ8Iko96kvnas45oIgCKtDGIa4dOkS8vk8wjDE9vY2tra2VOoTiq7mArYuPpveTiKhmfKQE7Q4FEVIk+PEyyfBOZfLoVKpoFqtYmdnR5VHaUlarRb6/T7CMFRiNUfPWU5CM6+zLQ0aidw8cp1Sn9C+lG+dItz5pAP9UGoZEt0pJztF29P/vK7kWFJe9na7rZzPfr+PbrerJg1o8iEMQwyHQ1QqFXS7XdTrdSWQU33feOMN3Lx5E41GA51OBzdu3ECz2US73RYHVhCEc8P6+jpqtRp2d3dRKpWUbTnJqHJh+YhYvjgymQwuX76M0WiE69evo9Fo4NatWzg4OMC9e/eWXT1hhZFeWDjT6BHbPoI3d1KnmQFfJWMXl0pmnrnHbfsnreOs5c1yvUQ8FwRBWDwk5NJimPRDkUBbW1sqint9fR1ra2uIouihxTOBh1N0uVKbxEVVc5FWjyqniGqKbM/lchiPx+j1eipqejweT0QK2sRvLuzrdeYR7aY24znYdcFd/5yXRfsNh8MJUX04HCKdTmM4HCKTyWA8HisxnU9McKE/CO4vhprJZNDv91WUPf3wNh2Px+j3+yrtDX8DgCLYwzBU4nuz2USz2VTpcXgaGFm0SxCEswDZP7It1WoVlUpFrbWxKswzXcqqpF4RX+98EgSBCpagt+MqlcrE+GI4HKpxhyAQIpgLZwKTc6m/lh2XT9tUpp7GI4mxtxnkuDJ0wX5W5pGGJE5459vFlWP72zfXua28pFHprvrGvSovCIIgTA+9Jnv58mWUSiUlQj/yyCPIZrMPpRWhKDsSXrmIywV0PhYwjQtIsKUIZi7IEjxtCzlYmUwGtVoN5XIZV65cUWL+4eEh7t27p6LLeZoW0/GpDsCkfdFTv5jOhepGUetc7KdUJhzbGiCut7x4qhpa1DSTyaBQKCCbzarI+Uql8lBdKCUNRYsfHx+j1+shn89jMBigVCqpqHQSw3d2dlCr1ZRY/uyzz2I4HKLRaKDdbuOVV15Bt9tFu93G4eEhbt686b6xBEEQTgHFYhEXL17E+vo6tre3J94GOou4fKlVENGF80cURbh69SquXLmC8XiMO3fuYH9/H2+88QYajcayqyesECKYC6eaeaY3mWb7RYmpNkF6HsebdYafpzIxRfidZF18jzHLsecx4SAIgnAeIeE5m82iUCgoMZmE5e3tbbV4J6VgIRGWi+E8Ypoiownqy/XFLDnUh5M4zvN007H4MfWFQfP5PKrVKqIoQqFQQBAE6Ha76HQ66HQ6GI1GSmzmEeA2bKljbNu6zieuLNuEgu0Y4/FYtct4PEY6ncZgMEA6nUav15tI28InL6guJLSTQE77Z7NZlUKm3+8/NOFNbU5R6ZlMBltbW+j3++h0OmpihaL5+/2+SqdD9RUEQVhVstksstksKpUKisUiarUaoihCNpu1BgotQ0w+qWOKUP4w4m+eHDQ+pTFnFEVqfFgqlXB8fIx+vy9vtgkimAunD1c0eZIyXJgis+Kit+Yh/iaJZncNpky5T2cRtW3HSbKNvq1tX91xN+Fz/X2FCJ+JiUVNXgiCIJxl0uk0isUi1tbWcOHCBWxvb2NzcxPFYlFFYXNMfTtf0BJ4kBLEJATr4wMScUmEpd96uhJynPRc3+l0WqWDuXz5MsIwRBRFaLVauHfvHg4PD3F0dIRcLqdEf56KhedDN7255LJxehnj8VgJK1QGTQDorw/T/nQedC68zag99bJ4qhqKwNcFaSorl8spgZxPiERRhCiKMB6P0el0VKqVTqeDXC6nosZJcOdv843HY1VWuVx+6H64e/cu7ty5g4ODAzQaDbz66qtoNpvmG1AQBGEFSKVSKJfLqNVqePOb36z6PmD69ahOEyKOC6tOrVZDrVbD5cuXMRgM8Kd/+qdqjCcpWs43IpgLKw93pkz4DiyWGSnsG4mt5zE1lePzWpseAe46zipykvXTU+AkuZ9of0EQhPMOibKVSgW5XA7lchm5XA7FYlFF05XLZRQKBbWgmQvb5CqJ3TyNCWBOOcLFYC6+6xPKVB+Kck6n02qR0fX1dZUyJpVKodVqodFoqJQjPI2JLYI76UQ/rysX1/UJ5lQqpaKx+XFI0ObpVai9XSKNqc1Nk/h6Ohz6TQuD9no9tQ/lhk+n02piIQju50CnFDuU35zOg09q6ERRpCZdut0uKpUK2u026vU6+v2+Wni1Xq9b21cQBGHRUDqvcrk88ZaSj/1bVeL81NN+vFXgJN6+Fh6Gj43S6bRabD6KIvR6PdTrdTVuEc4XIpgLKw138HxyaNuIE0RNaUY4vulHTJHdy0QXg+kz27Y+2y0KLn4kOTa/brpQMg2u4+vfSeS5IAjCfSjVyiOPPIJKpYJr166hUCigWCxO3Tdzu+SKyra9UWXah0eVc1GZBHN6bX59fR1RFGF3d1ct9tnv97G/v4+joyPs7e2pfXO5nPG1ei4wm87Lds56xDWhR6zzCG3gQeQ3CTUUAZ5Op53CO/1NbWCKujfZWL5YFv3d6XSUSM7LoLqWSiWkUimVUoV+RqORyl8/GAystrhcLqNUKk3UZTAY4OWXX0a9XsedO3dQr9fRaDTEHguCsDTCMEQYhrh69SpKpRKq1apK/yAIwuqSTqfxyCOPYDgc4vDwUL3NRuutCOcLEcyFlcMmMs8zQtwkjMdFY+uirI/API8cdHFl+KRusdXR1KYmgWKauukCRZJrlzTS22db12QJx7WNSSyXSHNBEM4jpVIJURSpfORbW1soFouoVqtKYCZxwDR5mwSfiUpXX8wnY/VULHrqknK5jDAMVWR5LpdDKpVCvV5Hu93G3bt30ev11D6Uz9sUMegaz5jqShHZvL7czpIoTQI/HVsfp1CO9m63q/Y1RZDzuvD2oP/1tDeUboZ+699TGwJQ6VxIGKdoeKojtRmvE51XLpdTQrypnXThPggCrK+vK1Gq0+lge3sb7XYbR0dHaDabaDQaql0EQRAWxcbGBqrVqnqjqlqtqslAH+J8Op/tfPB9E3nZwV/zZp56wiJYVnuf5Ws+LUEQoFgsqrEJLWh+dHSE/f39ZVdPOCFEMBdWBpfo6tNxm6K746K4aDvdeZ3361CLSBszb6HWJgrbBPWk5fKybOc5bXoUUzm2uiQZENjuA9/PXHURBEE4zURRhK2tLSVUXr16FcViEYB9TQpbpHkSe+t6E8yGHh3NPyfRl1KGlEollWu2UCggm81iNBqhXq+j2WwqJ4nEYRLUXTYriS2xCdv0Hc/hnslk1Pb0HYnqw+FwYnFTl+jM/zd9zgVxErSpvagNKDUNCUNBEKgFO3l6FT5Jwe+T8XiszocizKnepnEIr2cqlcLa2pr6fzAY4NKlSzg8PMSNGzdw9+5dWSBUEIQTYW1tDZcvX1apWKZhGvs4je9q2meV/JZFCLerdH7CapNKpdSbItVqFd1uF8fHx3j99ddFMD9HiGAuLI2kDjLt4xP1rIuuLiHW5XxzZy6JSOpCF/Wp/GlwCcM+5fpEXM9aJ/5q+TzKN2Fy8H2OF/eWgG9Uv2uQahOIBEEQTgNBECCfz6NUKuHixYsolUpYW1ubWOSRRNOk5U7TJ85iQ/ToaYoQp/Mrl8tqAiCbzQIADg4O0Ol0cPv2bRXxnMlkEIbhxEKaScYmpu/iznM8HqvUJxSxTVCO9sFgoIRz/tskvvi+IcbrTcJ3v99/KOKcp7RJp9PI5/NKXOcLilK6Fv53r9dDt9tVC8Hm83mV11wXzfXfJsjJpUVnr1y5gk6ng06ng263izfeeAP1eh17e3vyerUgCDNB9mBjYwPb29sol8sqKvUkmcavtpXj418u0q87r0hbrjb0FuK1a9ewubmJW7duYX9/H+12G4PBYNnVExaECObCUrBFeyVJreGaFfcRu5Me13d7n4HGLLherXYRFzk+j3r5HNu0n+l6+tYv7i2CeQrWs0Tcz/uNAEEQhEXBo4DT6bSKrrl06RLW19exu7vr3H8RjvS0ZenjDf3cSOwPwxClUkkt8EmpTprNJlqtFo6OjjAej1EoFFQktW0sMw9MbciFcDoHAEpU7vf7XhHZPvZaF81NZdFvnpqFBHNqIxLTqW4knvNzoWh4uh5ciKfzM9XNdh5cvI+iSO1DgjmltanX6w9F6AuCIPhC/UyxWMTGxgYeeeSRuR+D93dJ/dlZ7KYv00S2C6uHXMN4aDxTKBSwtram3qKjdVhkDHE2EcFcODFmicaOE1z1bWxR3LqTZxtYmD6Pi0Lnn/nWXf/e9rcLn3b1ebVv2ij6JNfVJTjzNk4aqadPkOjHs71dkOT+SoptUkIizgVBWGWCIMDu7i5KpRIeffRRhGGIKIqUKECR1/M61iKw2TIu6mYyGRSLRURRhLW1NZTLZVQqFRXd3Gg00Ol0cOfOHXQ6HRWRzvNZAv5vGOn4Bgjo++jCbpzga4vIpvq7FiTVx0ymOnFxmtLUkEA+HA5V+RQZ3+l00Ov10O/30ev11N8U6T0YDBCGIVKplFpolaea0dsniR2lxVmffvpp9Pt9PP/88+j1erh58yaOj4/xyiuvoN/vq9zvgiAINqIowvXr11EsFmdKv2JiEYFNtuNMu59EmAvnnQsXLmB9fR3Hx8dot9t48cUX0Wq1ll0tYc6IYC6cKNzAmgxt0gGCz6y2fsx5G3a9znSMkxrs6Mc9SWyTBbOUlSSyfB4pU5IcZ17XU0RzQRBWCRI9SfBcW1tDtVrFhQsXUCwWUSwWV6bfStof62MMnoqlUChMRJYXCgUl8PZ6PZXGo9frqWhpioBOWuekAjkfI9kmmkkgp9+mY9iOa5vwd0UouoIKKGKf7iUS8HVBnkeY83zrurhOUerj8Vi1d9LoLV38p/LK5bL6nAT5fD6Pw8NDtNttALDmfhcE4fxCfR29vbK+vq5syDJI6jNz4gK+TgMn7WsLAicMQ/XWYaFQQBRFarFzeotOOP2IYC4sBNPMsym62xYF5nLwfI6Z5Dterh6JbHsNOa5OSTrIuEhk23eu45rOwzQxESckm6K1p8UW5T0PQXoWMZzvb/s/yX2X5FzmLcQLgiBMw/r6OtbW1nDt2jWsr6+jXC4jl8tNLGjJmfZtIH2fafruOLtsEnjpHCjfOgnk29vbKBaLqNVqyGazyGazKm3H/v4+Go0GxuMxstksyuWyEnFNx/R5SyrJ20ymsnR7yYXyJMc0BRLwMvTfPtHotD+JzBSpT3l8qd0ymQz6/T4Gg4GKMue5zOkYFM1PwhRNYNC2pvbwQW/nbDaLK1eu4OLFi3j88cdxfHyMmzdv4vbt23jjjTfQ7XYlz7kgCAiCAOVyGVEU4ZlnnlHreJwmgdmHZQRgCfcRf/B0EkURisUiPvVTPxXtdhsvvPACWq2WSvsmnG5EMBfmjk0YtW0XRxKH3BVxbKvDvL5zCd+uqHpfTmIAc5KDpFWKClj24HBVIjcFQTj7UIQ1FzQ3NzdRq9WwsbGBWq2mcnjPE54ia15vffmI5RQRSOedy+VU1HwURSgUCmpiALgfWd5ut9HtdtHr9VRkMhfLedn6DxE3Sa9vbzoflwjO29DHbugR63HXQRfD+Xam7/jfehS5aTueu5xvQ58HQaBytdMCoBQh7nvOPuMMmkgBoFLB9Ho9Jei32221KOlgMECv1xM7LQjnjEKhgGw2i0qlglKphFKpZF3oel6R2rbgHVe5JxmIswqietxEcdLAvFVg2T6p4MYWMAFApeyrVqvIZDIYj8cqz7lwehHBXJgr3GnUjZHNeJmizZIafJdxMdXDFG3texzaxxSFzuvtMtY+gx5b+9GrztxxtbW57Riu7W119Nk2DnKATXVLOnjR9zUJJbb9XNH5vLxpz900meJTH983GARBEKaB8kKvr6/jsccew8bGBnZ2dpSgzBdvnJfTb8LX7vr0wbY3hIAHqWYosrxSqaBQKODixYuqHSjNCgnl9+7dw8HBAZrNJobDIcrlssrPzaPtuRBPbWZ6BVcXt3Vx3bd9+ZiDhGVdPI4rSx878DqZ9ufH0OvPy+TbUYT5YDBQYjRNOlAO8tFohG63i263q6LG+TFIsA6CQEWY03HpDQBXGhpT2/lSKpUQhiGuXLmC0Wikjvexj30M+/v7ePXVVyXHuSCcI4IgwLVr19SEMqXnOg2Y+nfxKwRhcfB1Uo6OjrC3t4ePfvSjy66WMAMimAtzI0nE+LJnTm11SFq3ec1S+0ZBuf5PwryEEFt7TdMuvpF1pm2TMM0bBUkEeVO5s7DqkRCCIKw2FBldKpWQz+dRq9VQrVaxsbGhBOR5veUSV44uxHMB17dcn23ob8qpTYs90muzFFlO6UIGgwHa7TaazSZarRY6nY6KbKYy9KhyPsmgn58eEZjkfOLa3zZR7yrDJuL7ToyYzsfU3nxCn6LDKY+5HlVOaVlckwwkmg8GAwBQuefpf4pE1wMI4trHBV13gvIVb21tIZfLYTQaod1uo9FoqAh0QRDOFnyR5zAMUa1WEUURcrlcrFjO+6DRaISDgwNjWidbP5XEH5x2wrBarSIMw9hyl+2vC8Jpgyb6gyBAsVhEtVrF7u4uOp0OWq3WxFt1wulABHNhKqaJiCKn0uUg6wZ6HrPhtjL0WXeXQ+jrfNmivZPWIW4fU53nMaiJuya+kdm2/037zBtTPX3FGFddTZF1+na2c3ddQ59j6SKMIAiCL/l8HsViEW9605uwtraGq1evKhGYMAmN/DvCNnGbxAbF9dG6TTEd17SfSdCmvOQUNUyLmK6tramJhH6/j1arhb29Pdy5cwfNZhPdbheVSgX5fF4JJCSa0+KWFHGeSqUeSj9CddfPUxfX9TZ0oUeT2/b1+Zv/r/922UESwUkw4naK2oUL5XpE/HA4VLnIKdWJaWFNilTvdrtKFM/n8yrSHAA6nY4x+j1Jm/pAufyffPJJjEYjPP3002g2m/jwhz+Mw8NDvPrqq+L8CsIZg/qbxx9/HBcvXpxq4g24Pxn7wQ9+EAcHB4uo5tR86qd+Kq5cubLsaiwMEfqFZZNOp1GpVFCpVHD58mXcuHEDL774IprNpky0nzJEMBemwuaMuD5PEo1siuhN4viYHL+4CGJTvUz7+goDJ2Gsp4k+nnXyIcn+0zivvtu4RG7fqDnbsed97fTzj2sPGegJgjAtJARTBNnGxsbEApd6xPSsttUmuLr6MduYIM4W2z4n4ZZ+qA3CMEShUECtVlOR5bRI23A4RKvVQrvdxuHhIY6Pj9FsNjEej1VEOk/DQuJ4NptV0Yf8XPg5uM7DJPInxWfyOm57/TtX0ICtzrzNeXoavh3dbzSh0O/31Q+J5a6xGYnsQfAgvUs+n1dRWpTmxdbm85popnPM5/MAgMuXL6t8/+12G0dHR2oiQBCE00kYhhP2olQqPbTYcRJo8nDVJtWSBPJME4gkrC7zCrIT3OhjpXK5jIsXL6LRaKDdbuPg4EBym58SRDAXvNGjt+IixOIii7lxnodobnO+bZ8lMRYmh9gWGR4XPWyqt34s03dxkXwuZzkuCi0O2zUy1dmnbN+oc1tb0P8+19t2jEVPgpiuly7ku9rJdO6u9hAEQQDu50/M5/O4du0atre3cfXqVeer1/x/X4FxGofLZNPpc/7bVD/bZ/r3FOVMkeWVSgXFYhE7OztK/KCFI3u9Hvb29nB8fIzbt2+j1+uh1+uhXC4jDEPk83mVq5ZHlRcKhYloavqhtksqPPv25XqEOf+ti85JyuT14OVwIVz/jI+huFjOxXEAKh0OALVoJi2mSv/Hjesoj/h4PFaLtoZhqPYlUd02DuGTM7PaTRLr8/k8KpUKBoOBejvhYx/7GO7evSuCuSCcYsrlMp544gklmJ9XYdEV6CacXsR3XB6UDpFS/73wwgsimJ8SRDAXvEgi1CUVIZMKtz7b+4i7rihlcsL0bU0OmOsYtK8v0+ynn6uPqGD6Xz9nnWmiobmA4GqrOCHbNdkQJ+bH1d8Xn2ttOo7tmvqK5b7byCBIEM435XIZtVoNW1tbWFtbU5Hl2WzWuV8Sh9inz7VNGtu+s9kk388oqpmiyinvLC3qWSqVVP52AOj3+zg8PESr1cKdO3fUoo6pVEpFpOfzeZW/nETzfD6vftPxeYS0nos7LpI8iRjBxWw6Fm9P3bbYyrbViecWpwUtSaDm6WcoL6cJirqnyG+6T2iCgkeW8/zlvN6mutK5DIdD5VzSsQqFgirDlNpFb0O93FmhiPP19XU88cQT2N3dxZUrV/DGG2/g3r176Pf7KxdZKgjCA4IgUH1+tVpFrVZDqVRy9nVnhTgblDRoTd9HmA5pw7NLEDx4U45SBB4dHakF0MWXX01EMBdi8TWmpodcN8bckTMZX9O2/HOXo+MrMibpjGwRcfx7X+blpPlejyTfJ4ke9/nOFlXtKsc3At91LL28ONEgyQTMNCwiIly/j3j0nxhaQTi/lEolXL58GY8++iguXLhwYm+k2Gxb0ui0aSYKKbo5CB4s0JnL5VAsFlGpVLC2toZyuaxS0dBik3t7e2g0Grhz546KECexnAvmJBJnMhmEYagEdABKIDedv6+9T3pddOHcVZYtKMA0nqJUKZ1OB81mU7UJRdnTAqk8DY1eJo8w5z+ZTOahhT7pRxf+XedNOc3pGlB9er3eRGoWXqdF20QSzGkxXcrPDgCNRmMlUzEIgvCAVCqFYrGIUqmERx55BGEYolgsLrtaS2NW4Vui0lcbuTbLh9ZF2d3dRbVaxauvvopGo6HWdBFWDxHMhYdIKib6lGX7X8fm4CURXOdtDOZt/GeNkrcJxPQd/99nX77ftCxajCFxgC8cS79N9+s098Is94/vBI7PPc0nk2zXn5c1jUgjCMLpJ5fLYXNzE+VyGRcuXEC5XMba2hpKpRIAt+1K8taPbf+4slx9aZL+1lY2F2lJRC0UCirSvlaroVwuo1AoqAjl/f19lUKj0+lgMBgglUqhUCioV/BpkU/KY07RhpT7HIASQknI5cKoHhntQ1zknr6ApsvmmCb6ddtDAjmJ0IPBAJ1OB/1+H71eT21HAjW1C39bgU9WcIGcjkcR+XQ/kUhOojm1mwnbOIXymQNQIj5FgtJ56ZH+0zDt+JcmVp5++mlcvHgRd+7cQb1ex40bN9Qip2KfBWH5BEGAYrGIMAzx+OOPo1AoIIoiNSk4L87S8x4XXGXyzQRBMBOGIXK5HK5fv452u42Pf/zjaLVaaLVay66aoCGCuWBkHqL5LM64De5kz1MgX/SrZLYI6GmJG4yYIvuTlD0LcY78PMq0td8yBONpjpX01fCkUfonEVknCMLJQ30GRbaura1ha2sLTzzxBHK5HAqFwkP7zGpr+HFdAvwicNk5noqFIplzuRyiKFL5yguFArLZrIpAbjabqNfraDQaKl0Gie25XE6JvDwPOpVBYjFP/eESaad5o00/Zy6Q+0Zj2ybU6TcJ1b1eD/1+H81mUwnmFAlO29Lf6XQaACaEe/0YXCyniH8Sn3g7DYdDVYckbwvStlQnijKnutHbVknsqmm7Wca/NGmws7OD7e1tFAoFHBwc4Pj4GAAemlwRBOHkof6qUCigVCpha2tLpdoS/Hxhk70S30MQ/OFjzG63i5s3b6pAhXlM/AvzQwRzQeEykEmFSJegPc/UFD5lmRz+pI6UK6pbPw79NqXKSDqwsM3Y6w61LRqL18GGzVmk71wirOn/WSYdTOdlKtN1b/EIbf0znaRt4/OdK9rfNpGh183lTPu2xbQTJoIgrCZBEGB3dxelUgmPPvooisUiqtWqSkFCb+Dw7fX/k9jwJNv5TjrbbKuPMM/FWJNQXqlUUKlUsL29rXKY0wKUlLP85s2baLVa6PV6CIIAYRgiDEOUy2XkcjmVF5sWDM3n82qRT+BB3zwajSYipmcRQOPaTo/mN23rKoME2l6vNyGMd7tdDIdDVf9+v69sPm9nSkvDc/rq1y+TyajrSFH/1I7Hx8fodrsP5S83vR0V1zYUZT4ej5UYz+8BikDn6XJ8xhJx9UgCPxatJ7Czs4NOp4MbN26gXq/jlVdeUQufCoJwcgRBgGvXrql85fqbM4KbsyKKSwS8sEpks1k89dRT6Ha7ODo6wuHhIV5++eVlV0v4/xHBXPB2cDnTCqOzRKvPI/JZF1OTbLOIKHQ6jm97xgnWrmPwfZKIIdMcI8l5uQRt/Rhx5SRhEWI5EN9mixxomq7Doo8pCMJi4dG6tVoN1WoVFy9eVGJvEpuU1JYmsQHz2CZufy7ikjBLYinlni0WiyqtConF7XYbzWYTrVZLLaxEaVfohyKWKf0K/VBaEX2ByrhIaarzIuyBz4Qo2WBKf8JTr3Chny9cahKQaXKC2sFUF4ou5/9T9DdFrVOUuSsVi15/2988Up2/acDrbLOHtnY0MevYk974KJVKaqIgn8/j3r17aLfbEnEuCCcI2YtqtYr19XVUKpW5p2A5TehBXPMuc9Wh6N5VIpvNzhx8Jpw+UqkUKpUKBoOBWig9n8+r8ZuwXM6vlRCcnXFc9Ky+jS542jr7aaPCTfvaBFlTRJL+vS0aN4l4bYP2HY1GsQK9Tlzd+Hb8e1P5rs9t5c6CLpLrUYMu0T4ugt9WV1vbmO4JUyRkEuE7qSBkOuY8iKu/6ZginAvC6YTShFy7dg3r6+u4evUqisUi8vn8hEjpYlbRL0k0s28ZcZ+bvueLSPKUKZVKBVEU4cKFCwjDEKVSSQnaR0dHaDabuHHjBhqNBlqtFsbjsRLVq9XqQwJ5pVJBGIYqanowGKi6kFg7GAxU1LQtvzi3tTwiexZ0+63nTSchmdKt0G/64eljqC68DD0SmyYl6D40Xa90Oq2+GwwGagKDBOxut6ui2iminTuArgAFE1R3iiSnCSV644Afx7fMkyCTyeDKlSvY2dnB7u4u9vf38dJLL+Hg4AB7e3tLrZsgnAeuXLmC7e1tbGxsTLw5JPhzlvyJJ554AlevXvU+p5OIrs/lciKWn2PS6TQqlYoK5Lhz5w5eeeWVZVfr3COCuRBrKJI6MyZ8XoX13S8purM6TST3rCzb+M0i2i+77tPgirhbRNnzmGCZdt8k9/ZJDPYEQZgdEh3L5TKKxSI2Nzextram0oQkZZ59+jz6kSQTkHpUeTabVSk/eM5yWkCJhNter4dms4nj42O0Wi2V/iKVSj0UVU4CfD6fV/+TMEuCMqU4o6hgHl1uis5eJHRcityma0JiMRfMKXXMYDB4KA+6Laqc/03R5TxHOX3Hrwt9TttTPXkkvkmw5yRpQ34NSDgHoEQwipxflVygQRCotD9U1+PjYyXydzodlbtUEITZ4W+7ZDIZlEollX6L+qh5Mc1E8mli0VHPy4iqLhQKsRHmZ/26CqsFBQBQmsFWq4UoiibGcKswnjlviGB+zuDOjs9Mqo7LsbJt44qsSjpT7YpCjoM7lb778fqZIpTj9rVFu+v/6/nOk56Xq96muvJocFuZSdvIdBxeni1a2xRtbtp/WuLOg0fE246ptyevs89EkK/A5PN8uc4nbmKLRxCKwRWE1WVzcxNXrlzB1atXsbOzowTLJBFxi3RApy037m0h028e5ZzJZBBFEXK5HNbW1pDP57G+vq7yuI/HY/T7fRweHmJ/fx937tzB8fExer0exuMxSqWSiiyn9Cv0Wna5XEalUlHCM0VFk0Cfy+VUepdutzuRK9tmt+Jsmwn9jSn+5hZ91m631YQAT6lCf3OxmLcnibNcSNbHObzOFFnO8/zy7UiIorYZj8coFArI5/Po9Xrqh9KRUCoYPYd5kvYh6HiUi53euigUCg+1wzTlL4pUKoVisYgwDLG1tYVut4tWq4U/+7M/w4svvoh2u63eahAEYXpyuRxKpRI2NjawubmJarWKMAxPNLL8rAmti+xHlyGaxyGBRsIyoDEXvUW5t7eH/f191Ot19Hq9ZVfv3CGC+TnCJWbahG+bQJ0kOlwXqXVncB6ve9P2SaLkk5bNmadRn0aYTjLBMG8B2ock5c9zcKTfc7wuts8XgU/ZqzYoFARhuaTTaYRhiGq1iq2tLWxubqJcLs+UY/Oko6N8ba1rXMC34XnKSbgtlUrI5/OIokh9RnloKVVKo9FAvV5Hp9NBv99XkdIUWU5R5BRZTgtUplIpJehS9DJNVFBEM6UUSRrpk3SMYhLi+QKe3W5XicX8ey6w88hw+s6UQsY08U2COLUL2VD+w6PP6fj0GUX588hynjM9KbaxIp0/Cfo8vz1vs7jJbdOz4rpetu9973+KOKf7nMTzg4MDtFotNRkiCEIyqO8qFovY2NhAtVpFFEWqL1sktuCgVWSW8cGqn9u0mNrkrJ6rsNrQGCGKIjWO1d8uFE4GEczPCaYIWj7gdzmuPiK5HnGrR+LqhmdeD7lu2OIcUn0bm2PkiobWP7Nt74r8Nv2fpF2STFzYzjfumK5JAV6eazufQYYrinqaiYG4YyYRdDima+w6VtLJpqSf2+o0zb0oRlcQlks6nUaxWMSVK1fw9re/HWEYolAozM1RS+IY+7zpYsKnX7SVq//N85Vns1kVFU7paWiBTxLTgfvCaavVwt27d3Hv3j3s7e2pV1jpNXzKWU6iLkWmr62tKeG32+2i3W6rOlDkMqXMoEUzScxM8taP3ie7ggZMUIR2o9FAu91Gp9NRoj6NtXjbUfR3JpNR6Vlsgjkfq1H7UDtTm/HzoNzlFAlFwjRNRnQ6HTSbTTXBwCPO5yUE0xsFtPhnJpNREaQ0+UFiuevNqkUFW/hAaYHe/OY3401vehM+9rGP4c6dO/jIRz6CRqOx0GMLwlkkk8mgUqlgd3cXTz31VGLbJDzMeWu7VYx2F84f2WwW1WpVvf340Y9+FLdv38bx8fFD67QIi0ME8zOOLorFOXa2KFwfJ8MmmvvW00foc4mQi4oCj5sMmCbCyEew9xGrTxOutlrUhIpvveLwmfzwwRXRZoswtB1vFgff9LyJaC4IJ086ncba2hqKxSJ2dnawsbGBYrGITCajIuFMdngV+/95RKvpkcsU/U2LeVKucso1Tm00GAzQarVwfHyMo6MjtFotDIfDiTLy+TzS6bQSlTOZzERk+Wg0UjmkgyBQQiZF9XQ6HSX22vJMz7Mf5RHZ9DelgiHxm86Fzounj8nlcuq8c7mcEvlJxD46OkK/31e53an+/Bx42fxa0edcSCeRejweTwjklMNcT2PDjznr/cwjrui+4JMi+oKndB4+92ycbZ4HfMKCJm8GgwHq9Tpu3ryprrcgCHYoIrNYLOLChQuoVqtTR5QntWdJA31WkWkny4UHrPo4TThd6PrT2tqaGq+2Wi2VblBYLCKYn1H02XTd4TZFdumRRnFiuQmTuEz7c+ff5IAkNSy2c7PVx6c8m2jvEs19zmGWzswnqj0On0hoPdfptOVxXANO3yj1acsnfAax0957erm+4rttAO9brum+s92/9Ldpn7iJG0EQFks2m8XVq1exubmJZ599dqJvSPp2iQ/T9LVJbXVc32Uaf9iio/P5PMrlMkqlEtbX19UCn1wsJ3F2f38fh4eHuH37tsqXTelb6DdFYlPkdalUQjabRRAE6Pf76HQ6qo8Ow1Cl+eBCs/4qbJI3lnRB2jaOIdGZIsrph+dPp6hq00KopVJJTTIUi0W1UOx4PFaR6a+++iqazSYODg4mxGSe21xPyUJ1pmuUz+dV+1GE/ng8ViljKCUO1Z3yws9jwla/Br1eb+L68hQMQRCoqHabaL4KBEGA3d1d7Ozs4OLFi6jX6/jN3/xNHB8fi2AuCDGkUilEUYT19XU88cQTc1nYc5YJPddbLavAKgm6ui10+Y227+eNRJkLq0QQBLhw4QK2t7fR6XQQBMHE247C4hDB/AziK9rFRZvHHSPpIMAVpW4zlL5RybxermMl3c52TNv+JxG1q5drmuTQ62Oqr95+i6yvfmzT8V3X1Few8ZnUMGFrp2mFoaTRarYyafu483GJ4aYybIKVq0xBEOYDLeRz7do1VCoVXLp0CVEUqecUcL/BxHHZQSpnFnzLmmY7/hlFMVM6D4qKJoG8VCopMZjn5B4Oh2g0Gmg2m9jb20Or1cJgMFCCN/2QcEqRx/l8XkWpk1jOc2FTdDIAFcUzi2MSdx307ylPeb/fR7PZnFgsk4RTHkUdhqESyguFAqrVKgqFgppcyGQySiimyPBSqYTxeIx6vT6RXiYIApUGh64LXTdqQ0rDQgJ5t9tVEfwkkne7XVVvLp6bmIcoQWI/RbHzKHia+DClpVlVaJLj+eefR71ex40bN9R9LgjCA4IgQK1WQxiG2N3dRbFYnDlX+bQ+0apNwiXB5iesCiddp1VsA+EBq3yvLpJUKoULFy6gUqng5s2b6HQ6ODw8PLX9zmlABPMzRtyMrA1btJRLWHaJxjbh0hWB7Sua+9TPNmCZtVM1Rce5jjPLgIuOZzuu7ZXwafA1Oknb21WOz0SILubaouBP0kgknWyZp0Gf13m66jTNZJIgCP5ks1kUi0U8++yz2NjYQBRFDzn3PpN+Pn2KbSI1blLPt6xZ4ZHlXNykNCyUt7xYLKr0KSTiUgR2vV7H8fEx7t27p0RtKqNYLCIMQ7UPCcwkvpOQTCIqF4vpfFutFrrdLvr9/oTIaopSTjLJqn+mj3Mo4r3RaKjFRnm78Uh8iiJfW1tDGIZYW1tT5091pshuStcSRRGGwyEymYzahgvmJIDTvUnf0XWiyQ1qP8olTzngSfCn1Cy8DeeJPn6kyY/xeIx8Pq8WzU2n0xMR9Elt+KLh9xBdg2w2ize/+c1oNBpIp9MqP7/YZ0F4QCqVwtraGiqVCh555BHVF8WRdHx+XgW608JJR6ALwjIIggA7Oztq3Hp8fIzj42OJNF8gIpifEXyc36SCpolpBgvTiKl0LFv0q14f/r9LTPWNYPdpM5dobIoOdDnVcUZe3zcuytjWLq7z9RGwbSzTefOJuHZhi2CfxzlNEx3qKssVhW86pmuCgz63TbJJxLkgzJetrS3UajVcvnwZ1WoVm5ubyOfzM010n5RTyG2ILy7hnX6TIEvCLy12SoIvRUhTNDPwYOKUhNn9/X2VLiUIAiUUR1GkRF86TqFQUKlE0um0ElZJLOepXlqtlkolQo6Jz/m52tD0mclej0YjJTZTXnV+DUgwLxQKKBQK2N7eRhiGWF9fV5MFXCCmPOLj8VgJ2JTehcql1C75fB5RFKlJCmo/ah+6HpRnm/YdDodqoU+aZOj1eqjX6yq6/KQcuvF4PJHCJJfLIZ/PYzy+n+OcrinVx/a8nfRkvO14hUIBjz76KLa3t7Gzs4Nbt27h1VdfVW8dCMJ5JAgCXLp0CeVyGdvb2yrt1jzLN3GStnfRnNQkQNLArEVjq8+sxz/NbxgIp4tUKoXt7W1UKhXk83kcHx/jxo0by67WmUQE81OOKRpXF06XYdRtkcIcm1BJ+9vKNZHUQJnEeJ/9fSLKyfH2nen2FVVtbZV031mN+TzE5VkHE677etqI/qT3YhxJ70c6ZlLxzDb54/uWg96WpkGkDP4EYXpIUKxWq9jd3cVjjz2GtbW1hR3PZH+TRNPGTcAnHWPY7D+1i75AYxiGqFQqavE2vj3wIAc1icmNRgPtdhuj0UiJuRRZTClXeK5viowmkZfOg7ahc+x2uyoqWs+7PW376RPfXDDX+1xKv8Ijy/Vc4rSwJ0Xi0yJ3lCqFor9JMKeFQ0nM1qPWaSHUMAxRLBYnUrLw60TtR6lPqC2pfJ67vNPpGHOX622it4Gt3fi2rvLoeOPxWNWX0szwRUD1OpjqdVLYzj+TyagJt/X1daRSKdy5cwcAvO9NQThLUJ+0sbGB9fV1VKtV78hyHV9f2RQYZdvO9Pdp47RF1E9Tz0Wc47zKOusR87O2/VlskySkUilUKhU1Vstms7h169ZDC6sLsyOC+RkhzkHjzqZPhHFcJ+aamfV1Kk11N0VaAVDOn/7dLJ2lT7Suz+d6WYsyutzBtm3rI4zOUwCOO1e9XZLcG74RznHlxt33/LukbUQii+nzOME9yYDaZ1DhM8lkm0CJK4O2EwMsCP5QruyrV6/i+vXrqNVqKnJXx+UYuSb0TCSxayZcb56Yyk0SoUWCL48s5ylStra2VCoWSo3CB/8klA8GA9y5cwetVgv1eh2j0UhFVlcqlYmc5SahnKJy+fiI6kbiLkWYmwTJaSeJ9T7YZINI3CZBm4+DCErXsbm5iXK5rCLLAaDdbuP4+FhFe1M5FCVP7Ue50WnxUErtQpMVXCwnkZwi8yk4YDQaqf8pIp4i12kio9FoqLzitnaJY1ohhCL1W60WhsMhoihS99poNMLR0ZHKse4aX60K6XQaxWIRjz/+OHZ2dnDz5k3cuXMHN27cwPHx8bKrJwgnxqVLl7CxsYHt7W0lGCXlJMa1q96nELpWMG/EhxCExZBOp1GpVFSAyN7enkSazxkRzE8xy5hZSxJ1u6zodh1fI51UgFgGcRHu0+AjNvvUwVX+ouq3KuhRJyZOIlJ9WpI8I6fhegjCsiFxMYoibGxs4MqVK2ohyzhO+hk7CVvNJ055tDKJ2BQpTTnHSZjNZDJKQKYIZkopQqk/SPwmEZleyycBnEeYUz14ahD6ngTTwWCgROXBYBDbt/Pz07dLMvHAv6f87CTW6+VQNBHld+eR051OB8fHx2i1Wjg+PlZR8iSY8+hqLtxTdD7ldufiiR5hbhoLUrvRsXgUO590WMS95rK7dE0BqHzmhUIBQRCg1+shlUqpNpl2Yv6koPu4UqmgUqmo63h4eIhOp6Pu11WoqyAsAuqHKpUK1tfXUSwW1WThNMzDP1kVH3HVWWTfL9dAOK8Ewf01TygtX6/Xw507d9SYWZgdEcxPGXoUs0/ULP0dF+nrE4Ee91qsHlnr44j7vNaWVKC11d+0na9D6ypL/56XM0skGkVx+Rwradm2spIK6C58JiF4nfRzd0VV+txbcecUN9CyPUu8jvSZqSyf6HL987h7hh/T1B6+Uei2+9R2b/AFV8UZFwQ7YRji4sWL2NzcxNWrV1GpVBBF0UPPZ9xzlGSi12bvfbH1H0nKsb3BwqO39YjvUqmEfD6Pzc1NFAoF1Go1JZ7TviTEHh8fo91uK3Hw8PAQw+EQQXA/NUmtVlPlUl1IXKH/Kee2LgSTaEo5y0n05X3jtG9Z8b9NYyV9e0phQgIo1ZfXNYoiRFGk3loYjUZot9sq0vj27dsqclo/NvXl1C6UqqRcLquFVfUxHh2XJjj4NjzfervdVhMZR0dH6hwoVZ0vs4og+j1Ikw80gfDoo4+iUqlgd3cX3W4XH/nIR9DpdCYizVddgAmCALu7u9jY2EClUsH+/j5efPFFFdkvdlo4i+zs7ODSpUtYW1tDFEVTRZbPgsmGn4b+woaM6QXhbJDNZlVqqlKphNdffx03b95cdrXOBCKYn0JMYnVcRJMJm0NiE8B9jeo8hExXXacx7Hr7zCouzIJN9D2pAUtSp5Wnw1lEWy2q/Zc9eF309bSJLT7nPW3bJO0LBOE8EQT3F5wslUrY3NzE+vo61tbWrAuR6ZOEpok5/e9pSGKT54FJbOWiKwmvlEIlDEO1QCdFlvMc3CT8tlotNJtNNJtNFTU9Ho+Rz+dVeVws18V6agtbm1C0Ll8g0ySW63Y7Sb+ol2eauOTR5aaFRvninLRIKYnVx8fHqNfrE+lW9Oui15mixnn78QkH2ka/h7kAT3WmyQ2KLOcpZfRztk2Iz9u26FHwQRCoCRHKc5/NZlXdfevgO/m1yDEevVVRq9WQSqVwcHCATCajct+LnRbOCplMRk3sVSoV9eyuCtP44atCXNCQLxLtPV/Oejue9fM7aYLgwTo0lUoFpVIJxWIR3W73xBZcP6usjqURnNg6FdNg2BVN6yt02URz/Rg+9fLd1seht0XX6tvxcm2DmKTRyq4IdVv72I6ZZKIgzrmcN3wSJm5yJu5ec0VMxznPvAx6VZoc9rjj8jrrgkOSa+0ziIy7lqZnzhVdaNtHbyeTSDPL4Nb3eTAdV5xyQQDy+TyefvppbGxs4Omnn1bRuEn6C30b32fLZht9JjuTTLLZ+nLqD3j/YBLKKeI7iiKEYYidnR2VN5sEESqL0nrcu3cP9+7dw9HREVqtFrrdrurXM5mMyrlN6TYATByLroEugJNwz4V5+uHOBe1nG9eYgg707ciG6X2mbucGg8FEdDm3X1TnbDaLUqmkIolGoxFu3bqFer2ON954A91uF+12+6G60HH0zwqFgkqHw6M1gyBQInqhUFD2l9LiUJ1oQqPZbKLdbqNer6PRaKiFP33GqaZ7MMm41we6p4bDIV566SXkcjlsbGwgk8mgXC4jl8s9lIaH7zuLrU2C7ziRf7+9vY3NzU1sbm6iXq/jd37nd1RaHkE4C6ytreHxxx9HqVRCuVxeCbHN5lOfdCDWKnDa/AAJ/BHOKrlcDtlsFteuXcPm5iY+9rGPYW9vb9nVOtWIYH4KSGJ04wzAqhkH33OziYVx+9jON07ETCJY+pTv2naZAytb1JyPGLrIwYZpcmea401TPx8BfFaSTs7QZy6R3ffzaetvEzRWrU8RhJOEBNn19XWUSiVsb2+jWq0in88vpV83ibfzfEZdtlGPSjb9pmheiiovFAoqUpqipQGoRS8porzVaikBlsRniq4l58B07vqPrW+laG7TAp+utvC5xr6TJPTDc5fr++sTENQWFNWtR6W7RH5+Tajt9QkPPuGgBy1Qe1E6ll6vN5G3PC4neFzb2CZ/ZoHKoEVIm82muieDIFATNvoEh15vnaTBED51TALdD7Sg8IULFxBFEfb399XbGYJwGqH0AtVqVb2JZHpja94kCebS9zkt+J7jNH7vSTHLcX329fXll8FJBdIJpwsaq+XzeYzHY1SrVfT7ffXmoZAcEcxXGF28NAlmNuc1ifHwMYQuUdclavrUZdqotzhB2xSNrDuMJtFcL0uPxtLLtG07C65IJh/R1HVNTWK0/p1tX59tkg5c+GJrSbFFYsYN6uKwOb+uNtHvN5/72rStqR1MfYAeMbkofAT5eYoFgnCaKBQKiKII73znO7G+vj6TUK73A75Ca9Lj2WxWEqHYZhuDIFBpPfjr8iS+0qKeW1tbKJfLKJVKKr0IibQkwtbrddy8eRNHR0c4OjqaSDFC4mA+n0cYhg/lseWCsC4w69uQ4MzToMSNq3yF0ySCBKU1IcGZRGlqa54ehd5eIOG33W6j2+1ObMfvIRKBTRMYYRiqRUP168XFZH4eFA1P+d47nQ7q9bqKLm+32w8tWOoz6eoKZJgXfFJib28PmUwG6+vraiHBTqczsdCsb5mrIFZQWqO/9Jf+EprNJj784Q9jb28Pf/7nfy72WTiVlEolPPvss+pNpNPGKvQLgh25PsJZhQJSrl+/jp2dHXzoQx/C0dHRsqt1KhHB/JSgO7W6o5pkIBwnbtlEPJ+o17hoIb0OLnwdTZ/j2fBtO19nyDZZcNLOlGuSZd7o18kmCPtGQvtODOmfuyZA5oFrcsAkIE1Tpm8bubb1Pd6sbXOao2oEYVZITOSLj5GwOG1/4Ms8+5lZIrP0v0mI5ZHIJLxSvnJarJJSsmSz2YkIZhIzG42G+iEBk6dhoTQh2WxWTVZyG8TLG41GamKW143OnyKleVSxq41swq+OTzAD34/nT7dFulN76scgYZtfAxv0PUWP04/pPCivO7Ud/a3nLNcXKvWZtDe1gW1iYp72ipdHgnin00Emk1E59HO53ESUvM8YJukzv4iJZioznU4jn89je3tb5TZvtVpoNBpzO5YgLBJ6c6tararJ0VURN5P6s8IDkkwi+7btIq/BvHUCYTnMqimdVoLg/ptz4/EYm5ubyOVy2N/fl5zmCRHBfAVxRS7pEUOuaKY4wXSexipp+Uk6Lt3J5W3A62gbwLiEVFMbuupvcqK5k+5qc5cT6Bp8JWkr07nMQxChclyCtCn6eZ74iuZxTug0dbNdz2kjNG3X1HSv63XgEX5x5ft8z4Uln3J8+hQR0IWzTi6XQxiGePOb34xLly5N5N6edoLVh2UO9l19HfUjumCbSqWQz+cRRRHW1tZQLpdRLpdVVDOP/gagcnjv7e3h8PBQDey5gFwoFJDL5RBF0UQaF6qHLsAPh0O1DUW/k4BO+copX7gpFYepv4xDH6PE9bFchKYFKU12jZ8fLy+fz2M4HCKTyWA4HE5sz0Vf+oynYuGTFjrkVOnjL4rQ7vV6aLVaarHRRqNhXKzUdt62yYdFTXabxsjj8RjHx8fI5/PI5XLIZDIoFotot9vqvpi2PssUUSiyrFarYTgc4ubNmyKYC6eGfD6Pxx9/HFEUoVKpnAqhy+VvngVsk51n6RxNxNmkaSdNZ2URvvZZxKZVnBfCMEShUMCjjz6qAlFonRvBDxHMVwjbA6w7Ovxz036mbW3lxRHn7MXtmxRf4c7HeMWJ5q46zLLdvDriJKL6NPWIa2vXvWZzck1lJWnPuAgu38+nKWua8uLawVeE9t3X9rmpD9CFAdP+cYJ93HFsnJdBtHD+qFarWFtbw/b2Nmq1GtbX1ydSj+jP8KyTzif1DNkmavXPTDZAz1VOf1NU+fr6unqdPgxDlbNcF2GHwyGazSaOj49VRCyP/KY0JFQGF3lJSKbIfz3anbbln9NxdaHc1uZ63lx9wt5ls+PaFsBEdLmeh5z3y7RAabfbVedjE3X5uek5ynlb8Sh9fh56uXrO9FarpQTzbrfrJZa72mSejqzLDunXi9IANZtN9UYELULLF4GNm7S31cFUn5N6tsMwxOXLl1Eul1Gr1XD79m3cu3dPRdALwiqRSqWws7OjUnbl8/kTr0OcwOb7zK86867rvMpbRd/BZ4y0TE7TfXeSrNp1WiaFQgFBEODy5ctoNBq4ffu2jAE8EcF8hYgb3HNnTY9i0423a5bb1unbyrKJaPqMalyn5CuixR1nVqOQVPxMEi3At59XJ80de1MbJhHPpxFwfM4jrsxVNFizToxMU5Zte5ewYrvnbWK36Xvbs5ek3q4JONN2q3jNBWFWarUarl+/juvXr2N3d1flkNb7aBtxffEinps4++w7AeraVo8sD4JALe65sbGBMAxVvnJ9gUkSZofDIRqNhhLMSaiktqVUGcViEYVCwRhZTiInpS7Rxzd6dDYJyrowbJocSDIZ6ns/8G311DC2th+Px0owp7bURX8S0Xn76alr9MU++Q/BX9vldaT0K0dHR2i322g0GqoOpvbwsUemz+Yd6GArmyYhms3mxEK02WxWnTMdx3f8qN97y7KJYRjiypUr2NnZwZUrV/DBD37QeL0EYRVIp9O4dOkSKpUKyuXyiSzwOQ0m3+ys4hPMM01ZvMxl95Pzwtc+zIs4Tec8k1QrOcsEQaDSGF65cgXHx8fY29uTMYAnIpivAL5iJi3YxPeh/eIiSPWyTceydSy8fFf9pomGM5Wr18MkQrucede204h+cUZ83oOlJPXWv7c5aD6TFPMwLKbJl2n3dUV1xN0HScUhfd+4cl3O/yyDPtP5xtXJRVwEjH5/83OwnY/tmujfnZXBryAAQKVSwe7uLh555BFcvXoVxWJxQiy3YXt2TRPTpn3jmHbibxaniguretQyCdfZbBbVahXlchmVSkUJ5XTePKqZxEpKxdJoNNDr9ZTYS0J4qVRS6Vj4cSmynOfwpvJN/RW3I779dpJJBV5m3JiJtqc2oEkCGu/p9w+lQen3+8hms6qNbFHy+hiKH5tfA1sbUf2oTrTIZ71eR6/XQ7PZVOlZbOLRSU0MzVo+nSedVzqdRqFQUGVRepZpy182tMDrtWvXUCqV8LGPfQx3795V/ZggLJMgCHDp0iWUy2Wsra2paMiTYNox9nkU4eY9tud2Js5mrhJJ2kFEbGFVSKVSiKII6XQajz/+OI6Pj/HGG2+cyjHNSSKC+Yphm5k0OXbzMlpxQrfuOPk4/3HHI1zitq9w6SOe6kZYb1Nb+bayXJ/7tMUqdExxwoBLRE9af1NZ07bBLPvGkWTSIIlQxYUE3r42J3Ue5+czaeB6BuLKNT1PtmOtwv0uCNMSBAGiKMKlS5ewu7uLra0tlW+avjftA8D47PNtZnk2ZnG+kgrtuu0jYVwXXEmIzWQyanHPYrE4IWBzsZ3KHQwG6Ha7qNfraLVaEzm8+aKhYRiqqGjal8rW83BzQd8m5prO1zaBbmMae6gfbzweq0U0bfaChHFT6hZTlDw/lu3+i5sIoDJJFG+32+j1eqjX62qSg+o1DUlEkriJqVmg/XkkOY80p/b2fWZnHSMtglQqhVwuh62tLVQqFezt7aFer09MdgjCMqC+emNjA+vr62p9Ch/mJUbqfpzpGDqnWQCdte6LOPdpJy5OI6bJelMQhUvr8b1PTfvZnhvdD17WGx7zuBfOy72UhCAIVErD3d1dZLNZ3Lp1a6a1Ws4DIpgvEd1p4rgcNpPj6tPx6fgMDnwihVzbxz18JkPAo6psUXdJO0Gb4Uk66WC7ZjZnw1a+qR6+baWX59MefBvT9nFGetrIC/2cxuPxQ8Y3yWDXZ1sfodhUls8EjYu4SZi4Mk/KsCcRuoH5DNLmNbknCCdNFEW4evUqdnZ28MQTTyCfz09EmnK47eKfEUkmpufJPAQFPlYgcZqEai7wptNpVKtVRFGE3d1dhGGIKIomRFFuByiq+vbt22g0Gjg6OlIRr5SChUR3Ei9pXzo+/2w8nlzkk7ahyQ0SpHn6E91RMPVvtrFQ3OS6z3Y0+UJ5wV11SafTyOfzyGazyGazSsxut9vodDrodrsT9yddH9t58XQjtD2PVKfyWq2WirymdDC0jcnOm/73tT2+Y4552xV+Lt1uVx0jlUqhWCwCuH+/+jyn045RTwJa2PTZZ5/FlStX8NJLL+Ho6Ai3b99Wz4kgnCSXLl3C+vo6tre3EYYh0um0977zGjtPU85pFnhXZTx+2v2DJH6j6xz39/fxwgsvzGXyd173ZBRFeO6555DNZudSnrA6pNNplMtl9ebnvXv38Prrry+7WiuLCOZLJk74SxIFZhKd47bzdaRtUVfccSDncFYnyFX/eZAk2ixpmfrfnLjjma6Nbftp2uekBna+kyyAXbxfRD1dwlWceO0SMPT9prlv48q04Zr0SloObZO0nCTnexJRdIIwK/QcZLNZRFGEra0tbGxsoFKpKJHRtM88mNfzYZuwTGKDbZ+RiKinY6GFPovFooouJ3GX14mPG0gobjabaDabauFIEt+z2SxyuRwKhYIS6fkxeV14uXqfxo9N1zDpBKetTeLsias8LlrTj8seUXoaHmU/Go0wGAwm0rm4bIPeHpT+JQgC9TdNJHS73QmhvNVqqeOZ6jjN/RsXUGA7h0VBzzctBJrL5VTaH32CgThNdo2eF4rkPT4+RiqVwuHhoZrAEYSTgPrvSqWi1rrI5XJLqUfc99M+46dVUBdmw1eXIVvd7XZx+/btlbIl1Wp1prfHgJO//5cVjHbaCIJA9bXr6+vo9XpqjLNK9+CqIIL5EolzBnTn0hTBGide+Rh5U4St7rCYxPC4Y/uKxrM+mNM6aq5oQFdH7zqer0OtY5pwsNXF1a62bXzaXN/X1AY242+ahLGdg8uRX0Qn7XsMmyCSRFAxHTdJ9AHfV5+M8tnfVqatDXzuS/3eMn1vemUvbpJBDLKwigRBgDAMUalU8Gmf9mkolUoqCsPHcdDtaRL7xLf1tdu2/21MMyGpC9P6gp0Usbq2toYwDHHx4kUUi0XUajUl8PKJhiAIVIqPe/fuoV6v4+bNm+h0Ouj3+0in04iiCGEYolwuq2hq3VbzVCxUF/qhqG0SlnO5HMbjsRKVKQqb7xPXBr7tq2+vT7LQNnT8fr+vosv7/f7E/rQtTRyUy2WUy2VEUYRsNqv2q9fr6HQ6xrcf+DlykZ5Eb54qhwRhKpcizCnqf5Zc17NOhseNpWYR7XXounDnMZfLqah+2+TGtCxjMpkms9785jej3W4jiiIcHBzgxRdfFNFcOBFqtRrW1tawtbWFarWaKLJ80cxL8JOx7vklybhhFe+TaeukawLzEK2XJcCfdWi9IRr37e/v4+DgYNnVWjlEMF9x4gbRPh1RkoF4ko7NVxBPWgYxqwMxT+eJl3eWsIne9L9J8JmH8UtyTRY9iHBNLpgmKxZ5/r4DgiRiOZH0efKtS1IxfBnCgCD4QFHNlUoF6+vr2NzcVBFvp/2eNU0Q++5H4jSP1uaCNS3EWSqVEEWRWpxTF7kJEhx7vR5arZaKLO/3+0oAz+Vy6odyk+uCOf+hcvkxSODVF0zn9TeJ7by9krStCb1OJjurC/i2Y9DkQzabVdH2JGb3+/2JvO9Utsl+80mFIAiUSA9gIj0MCfl8Uc+kzHv84DOus03yJ4UL44PBQC0qm06nJyZB+ETENCxrbEn3VLFYRDabxcbGBoIgwM2bN9WbBYKwaIIgULbABC1WGzfWXPRzpNtQ3z4tCO6vgbJK6Y6CIFipNBuLHF+tktA6b11iFVmE5nKW22vZBEGATCaDQqGASqWCVqslkeYGRDBfMUzGn4w0fafnDOXCpsmA8+98hDZuXPh+PhHMPkKZqfx5YRq4uKL2bAZUP29eftw2pjrZPnO1ia1cW1uPRqOJyD/9OLa62Mo35UDl38eVm3RwMu+OWT++j6A8zYBKn3DQy0kSOeBzfP1a6M+Q6X9XW5gG/z51Mt2fvpMPvA8TgyysCoVCAVEU4e1vf7tKV6D3f9MwrdA4i6PnsoWuY/K/uVBOv0moJaEtDENsbm4iiiLUajXk83mUSiWVwoJER+BBRPVoNMLR0REajQZu3ryJer2OXq+nhIV8Po9KpaLEYV4fXkeKHqfjcNs5Hj/I7U2vmvII+TAMJ7ajSGp90c24No3DlfqFpz1pt9sPRYfT8egcKdKeck6Ox2McHR2h1Wqp6HJTXfW+ncRvmqSgfOQkjJNArIvk8xCnFilazCrG62XRb2qnUqmkFp8djUZoNpvWxVZdrIJwo5PNZvH444+j0WhgPB7j3r17ePHFF8U+Cwvl6OgI9Xodr732mnVxwc3NTXzqp37q0qLPdX+a8PVfM5kM3vrWt870dg4/JtXJ9T1hG0OMx+OlpL456/j6cKZ7fRXtwjw46fOSoKzpKJVKCMMQwP01XCiQRbiPCOYrhu1Bn6YD0AX1pOUsotNJWuY02xM250l3AOM6c9c2JvF4XiQV4ZMeP4l4sghOyqhNc4xZIsV82m2aCQzfMuJEjXm0uc/Em85ZHQwKpx+e07daraJSqaBYLD40ATktcRNLvs6vb/nTYBLLuWhOPyTY5vN5tRhnqVRCsVhUkeYkTnNINKZFPhuNBo6Pj5VQnclkkE6nVRn0f9z5Uf34cXjkr+l/YDINCS0cSpBQbBI4TAKEq+8zTajS35T+hIR6k/DKBXOaIAiCQInjFAnO93UFNPDzonznQfAgFQvPpz4PgWcWezPLBPY8oLEftcNgMFCTRsB9IYxPKkxjA1fJsc9ms2oCDAD29vbQ6XTQ6XSWXDPhrOKT5sn1poPet/n2GbNMRpuOH7dNPp+fqvx5TgKeBuY9EWub7Ehanit4zfR5nI6j1ykIgokxyGnFN+AqKefpGVgWNMaPogjr6+tqrKi/uXheOf1P5xnBFc2UtFPm6K8i87Jd+Iqptugj3/rZ0KN1uUOSpD18JgtM52A6btK6+2IS+ZOI5XqbTCNmmpx5/Rrb2teEabDBB7Sua2I6F5s4HPd5XLk+mCJKTIPtJEK56XN9wO8S2WxtpG+jb2dqT9szlWSAYnM++GJy+jHjrq0gnBS0qORb3vIWXLhwAVEUeUezTTNpqj8LSfCd4PV5pvVjc+GZR5KTSEiCWqlUQrVaVbm0i8WiSp9Cg27ggfBMA+/hcIhGo4F6vY4bN27g4OBARTeXy2UVWW4S3PVz4kI+HZf6QC78kiBDAjOVQ8eg9Ca5XE4tnEnpTUiItrWzqQ31bfT+ju9DKU9IlDSlPaE6FgoFlTojCAI0m030ej00Gg2VX5yX7RpH8FQ1+rnYJgrOM3RP0dsK9PZDoVDAcDhUC6EmtWWraPMKhQKefPJJbG1tIQgC3L59Gy+99NKyqyUITkxj6FVh2jr5+L1nBd33dPl6cWMuX/3C9Tn9zcchprR0JnwC2vhkPf0uFovOep82VuGeXYU6nLbnd2dnB1tbW/jzP/9z3Lp1C8fHxxNp+84rIpifAlyD6mlELb6frey4KNWThgyoqd4mYVffRi9n1nrYyl8Gi7g+8yrTZChOQiB1Gah5H9d1T/kcy+eenFVUi5vYSBoVoE8cuLYzlbUqz45wviFBeGtrS0WX5/P5uUWW+zBvm5K03twx5M8rCeU88jufz6NcLqNYLKoofB4RTvuT4Mp/U9qTer2Og4MDJRCT2B2GoRKv9X5Dr5vusJIwziPSSRT3aV/uvFLuRiqXn4dOXLm6YK5PYFIed0p/okP1ocUZU6kUhsMhOp2OEm/1hUtNi4ua6sWvk17fReAjUvB6zLpfkjr57keieK/Xm3gDIpvNYjgcot/vnwnbRusS7OzsYDweo16vo9lsot1uL7tqgnBizDoGmLUvMNmuVfDHXcSJgyY7rn+ni+f8e70s/rdLA3DVSdcWbMc0BSHZ6mo7pj5xzvddpRz3p51Vek5WqS4+0Ni5VqsBgEo/d1bGN9MigvmK4YrgNXXopo46Thh3GSDdYfJ50Lnx89nfV2yzHcfURqa20Y8TZ8R52a5IX596+pZjmlE3GWwfh9/1OTnGcecyHptzq5mO67rPfOpJ29DxZo3CmJW4AZd+TNs18qlXXPu4Bsq6+OISvW3Xw9XWcX2JD1S+nirBVBe9/PNskIWThaJEn3jiCTz66KMoFotTvxYbN0Fns7u605WkbL2MOGg7ve+gZ5U7rBSBTZHja2trKBaL2NzcRD6fV9HOJOTycnXBeTweo9Pp4Pj4GHfv3sWtW7fUa56lUkktGEr9Ba8Hn7zgqWH4OVH+c0pZwiPjqb+kaHHTWy8EpWYhMZnSpejjFZvTy9uU52vXrwH99Ho9tNttFdFO+9N1osj3KIrUpATl0261WhMLfdKx+PFsfbnP//NkFodxWhtkKytpGfz4dE3b7TYymYyKNCcRnSZuzoINi6IIjz32GEqlEoIgwGuvvYYbN24su1qCYCXJs53EP1wmLt90mbjazSUgc5tONlpPj2YKWDCNWfRy9esZ53Pw72z2kJfLf2gb/r8tB7++vemz4XAo+aKFleLChQvY2dlBr9dDKpXC4eGhMbDjvCCC+QoRN8j2mXGlz0ziGZXhMnQmAd21jX4sl3AYJzD6YhLWXAba5zg2QXgeA5M4Y62LpCYxxXUeLqHXVKbt2L6clLA5zXVLIhAkqcc8ztnneePH1I/nez+6jpPUOUjynJr6pZMUZQTBFxJGd3d3ceHCBWxtbc0UWW7qg/XvOfPoR2YVEnXhnL8azCO+aSFPir7nQjlF2ZrEZxJw+/0+2u026vU69vf30Wg0MBqNkM/n1YQFpRnh5ZDozVPj8G34tjSuoRzTplenbYuHmupuEuv1712TqbxOui2mKPHBYIBer6eEVlN5mUxG/YxGI3Q6HZWznMRyfdFJXShwjcn4+cwLlw12kdTez1Lnafel45PT2Ol0VG554MGbFDwSy2cibFXtYhAEKJVKuHLliqrjwcEBWq3WkmsmCIthnoK0TbSdZdKO/neVMe05JLULJjvKf2xvhrnKdq3F4XsOtvGWzW772h7bpDmhT47bbK9JND8rE63EKkzqCLMTBAGq1SoAoF6vi2AuLA+X8zuNs6GLr6bj2URzlzGxzfa6nMZpRbpZ8BUl9bolqeM8xVOfme9Z8J2EmYYkYqrPvZikXq5JoTh86m27P5Ica5pJobh94kQaPrkSNzlmKtMlDtkGnb7tHjf55rO9IMwDSjFy8eJFvPnNb1ZpRYh5Oc2+/YQpCtlmc+PKttkW0/a6sAw8yF0ehiEKhQK2t7dRKBRQLpeRyWRU2hQSy3kaFN0ZpKipw8NDHB4e4vbt20ocLhQK6oeL7vRDx8hmsw/ZCb4NABVlTYI5Pzc6HzoOjyAnR5Xqyyeo9bbxET4BTJRnYzQaKbG82+2qNuHXjiZ1qJ0p3zlFmPP87DwtC78WHP6d/saZ6V6xTcLr5bnaIo4k7aofc5pn1FWeL3SfjUYjtNtt5HI5hGGIdDo9IajTNUky3pi2ToukVCqhVCoBuP9MdbtdEcyFE2cR/qNPf2DqU5PYWBNJ/E1fMXcWnzbu2HF+NdlZbm/5hDe3qcDk21em3/qPqU627031S3JecfuY9pumHJNveRbWDll1oXyeE2LngSAIUKvVkM1mcePGDecCzGcdEcyXiI9YbdtnGvHJNLNrMrS2smyDf/pMPx9b+XGivq3+etl8f1430yAoroO0fZ9k35PqiH2czLiB3UmjXyv++SxwgYP/bzr+MrAJF7MOlH0dbNN2uqietB7TigymOgnCSUIpRra3t/HYY49ha2sLhULhoTQsSUU/TlJnzGRXZy3Ttq0uBvPfJMxGUYR8Po+NjQ2EYagGy/l8XgnO/LVp3q9TGhNakPLg4ADtdhsHBwfo9XoYj8cqHzdNUphEe143Kns4HBq3C4JARWCTkGkS1weDAdLpNIrFolPo1/tHfRJA34Y+dznyvM4klrdaLSV+c5GdzofaKJPJqIh0k1CuiwxxJN0mzl6dhJA1b+YxHiLhHACazaaahKO683Q5Sca6q8r6+jpyuRxGoxFKpRJu3bqFTqez7GoJ5wTX8xMnXM/DN5umb9V9E9P2trH8tPWdpa8xjUPIFpvGDLo95pDN5hGpcWK3qd48TRtgFpWT2j+9zqYxBR3X9LYaTw3nagO9fsCDhdD5bxo30Vtwq8RZ8tdOuw1eFmEYIpPJ4Pr166jX63j99dfPZaS5COYrxDTips8MsE1cNwmYtnrZDJtJhF80uvivi+Y2fLY1CbC2Ovh+7jNY4+3pGkQkmWywtVNS5mVkfO7vpBNBfBvbRI4vtskjn/1865m0LU2DOyLu/FyTVXH4tKdeVpL2dm17FsQFYTVJpVLI5/NYX1/H9evXH4osT8pJCHu6Q23qD3yeF93h0x0/SrNCi3qur6+jUCggiiIVLcZzfJv6ShJ2W60W2u029vb20G63cXR0pMrIZrMqrQtFn1H9eF11wZznHjc57yRecmeUR1IPh0MlRAOYODY/Lm9T0w/fTm8D0+vkug3mC6CSAK7XgQR9vtAn/zEJ5TbRSBe/Ob5C0qwCjGu8ZdrHtc2q2Ad+n3U6HZVaiE9k8Bz+cWUR04xBTgKKNG80GgiCAIeHh+h2uytXT0GYBtMY+STu7SR9o41pxiG8n+F9Ki+L21ey//w3F5apn+e2yWanXPqB/pkuYJtsdpwttPnQpnOlHx4pr//obWHLXc7tH/2Q/abJfZow7/f7E+nnBGFVoCCXnZ0dhGGImzdvimAunCxJRSwOdcRxIrBJiLU5e6662epocmZ43Uzbuhy7WRwzW/1sDpdLUDQJ57pR93FQ4+rmEkJ9xU7XZMYiBnyua+uzve38ktYBwEODNZ86zNImtvshbh/TINFWT31ffQDPz9lUN1cdeDmu/W1RHC7ivud9g01UMn0mDrkwK0EQoFAoYH19Hc8//zyq1aqKNJ6lTNPf+nNm6+P597b+ySbomvpUVx3p2SOxm4vkJIqXy2VEUYRSqYR8Pq/STPCIcl3EproOBgMMh0Pcu3cP7XYbd+7cUakbgiBQAjlFTPOFQk315/0Dd7q588wddn2xUB0ubjYaDaTTaZWznvKnp1IpdU4UzU3npUet630Yr6freo9GI3S7XXQ6HbRaLfR6vYl9+HXJZDKqLuRg6znLXUKBS/iZ99jA556l7eKeh2mO6zOmXQR0DbrdrrKZmUwGYRiq+vBJkbNgyy5cuIC1tTWMx2Pcu3cPr7766rl+TVs4GVwTb6bxLX3OP5vG13YxTX+TdJ9pBHybf2pqI4Imw+ktPN3/Jcj+0Nsz9L3Nd9FTtNgm33UbYvJryR5SfXXBnkdrm+yjfi7cbuiT8HqaOF4PvtA2Hcd2HXj76uXTOIS2Ozg4MJYjCMsmCO6vZ5JOp3H58mU0Gg3cvXv3TIxpfBHBfEXwFWC50bcJ0y5mGTRM62T5DhBc5du+m+VhnabtqC6zYhoMuCYbTNgGFbyOq9qZJRGbTejtNWtdbO2YtF76/tM8m77n4zqGqYw4ASXuO5coQt/HCXdxdeRO0aImfITzRzqdRhiGqFaruHDhgooGnRWbQDtrmb6Ta3GTZFyI5U4gCeG5XA7FYhGVSgXVahWlUumh6G8uUuvHJ2eRFqGs1+toNps4OjpSkVMkIOZyORQKhYeEd1vd+XH08+H14qK5SazVxfder6fOhU8G0OQJOd5cnDbl/NbFAptDzuvEF4XU08fw8yFBgepMwj0X7202S598WVQfOovI7bITPuOfONtw0raDvzXAc/dSOp0k+cxtrMqYLooihGGIzc1NBEGg1iU4jxFnwsljs43TjONnqYNr4s9WB/79NOOGJPtQe/iMy3URlwRz3XZy20OitG7/9PQtVCaffKcJc3q7T+/beN314+uTy7rd1lOz6cI5Pw4dyySY28RyXZg3vUmkT+DycnmwAJ/4pzfKxO8RVhG6d8fjsVoE9N69e+fK7otgvgJQJ2yLHDVt7xISCb2zt83kuoy8bTbWdDzTftwBsu1ncohdx7cd21Uefa473DaB2WT4khox2z6uyRFbhJrrGLy+80S/hqZj6wMyH3F1HhMPrnshyURIXN2meRbjxGq9fNckke2YcXWK+85H8De9ZjiNyKWXq98bps9c95Mg+BIE9yPLK5UK3va2t6FSqaBcLltfoZ31WD6fAf79hqksn0kp/RVics7y+TxyuRyq1arKT14oFJRITg6bLkbzsnnuTVq48t69e2g2m7h7964SDXO5HKIoQiaTUVFULrGcO9wmoV6vVxAEE4L3aDRSv219DDnPQXD/Ne50Oq1ym6fTaSX89Xo9JfjbxGmTWGC7HsCD3OX1el1Fl+tjFS4sBEGg6kCR6KZX3W1RdLrddo2XktriJPd63PFNdfDp73VBZ9lCw3A4RLvdVgJKLpdDqVRCEATqOTGNa4GTF/hnJZVK4dq1a9jZ2cF4PMbBwQFefPHFc+U8C6vHPCakTnrfRWGyWdzOcOFaXwib2x3aV7clZHdpHRKaZKff/O09XbimCG1K6WTTDfhnpj6TbKVuC+l7fazhstu0f7/fBwDVl9FkuWutED3CXK8/3940vqHf+/v7K2kHkoxjV5nTVNdVJZvN4vLlyyiVSjg6OkK73T43i4CLYL5CcIM2j06Td2Ymh4SL2cD8RWH9OD77nQZMArEv8+ywT9JY+VyvkzZGrjqdlntrVeu5zIGFa3JBEHwhh6pcLqNWq2F9fX3mNCxJj39SZer2iJxZEpRpQc8wDJHP51EulxGGoUq/UigUlBOtl6uPG0hU7vf7aLfb6HQ6aDQaaqFPEgtJKCen1lSe7zlzQVx3Mnl53BHldSYxgLYh5xjARCQ5nRv/zITN8Xb1XVRur9ebeKXbNBFA5ekLfJoE8mnEctP38xaM9EkL03fzHAcu2z7QNaBngyafSDzikzm2MXFc+asE9Rnr6+sAgGKxiG63K+lZhKViGy/O2x6flP/lMxlrwjQm0Cdm9YUreR/G3xrRJ+MBPCS6k1DOJ7Gp7tTv6Qte8sWuTefp6vOCIJh4e4fbRT1di0s0J2x15D+6IG+rp0kw521B2/CxSiqVUmL9qqFfTyDZBLhwdgiCQKVsLJfLGI/HIpgLJwc38NyBmge2Ti0umkcfdJgcUBv6vr6dZ9JONqmzZZs8sJWpn7tt1jtJW/icg+m4+uf68fXJD/2YtskY/r9vhBcfWNH/rvO0nY8PpvY1feY7SHY58XHb6c+n7zXV28u2D//bdV/YxBnT5JdLyDENfuL6Hlt5cefkKs/UX/jUWRBcUOT029/+dqytraFWq00IwvO6n2wCmA96/zuNPeO/+WvK6XRapZ6hBTzX1tbUops8kpmcX124BTDhkA4GA3Q6HZV25fj4GI1GQ0VAF4tFtTgg1SHpeIY7p+Sk6flOc7ncRBQbOc4AVNRbXJ5v7iDrx7XZSIJHndG+fHt+zuTYNxoNtFotNBoN5YzTdrztAahoZC6Y82PT/vqxeRvqNsX2mb6Pzz1osk1x19hWNrdVtjHCqvb7pnOmdDvA/fsym82q1AM0YTJLn7FKZDIZPP7442g2mwDuv6L94osvnvrzElaPpD7xPJ6vuDJMPtcs49Z59ntkU2iynCLB9VRfNPHNbR/vh3n6NnoLjdtj6rtpkrndbqvJYT2nuM1/Nl1b3Q/QbZXJZ7HdIzTu4wK6LmgT+iS5flz+vc1n5vWx+XP65/q4Y1VIpVKIogi5XE6N81xvEq3iOSybsziBUCqV8Nxzz+G1117D/v7+sqtzIohgfgpxOT2ryqLF8GlxCYvTDl7ixMpZmVaYmUf58ziXWUXXaQV323klva6u73wE9bh6+tQxrg18JjwWyTT3yWnpy4TVhpzCtbU1VKtVVKtVRFEUmzd7FqYZEM+jn+UOGRfKybktFosqopwmEMj51cVaXh6HHCSKHiXht16vo91uo9frKcc8l8up6HJdgHeds0301Z1TXg7/jhxyU551Ogeb462XpzvzcROXvH4mqP0oLQeJCHrbmM7LlBLG9Bn93ev1cOfOHaOQY6rnPPtbW/+dTqextbXltWaAr1jvej7i7rWkJC2PC0j6Wx4A1NsFdA+cZptHk1ej0QgbGxsAoNIydTqdJddOOGtMI5oTtj7QpwzXBKqvaG4izhdKKrbzH54bW7ebfDJZX9Sap3Kj8QQtQs0n1slOke2lNC4klOtrgOg2S6+3DZOdA2AcG7hsMNVZ98987btrW9P/pklqU3k24X7V4PcSnZsrTY2+L3B+xfSzJpYDUCkei8UiqtUqOp0Out3usqu1UEQwXyI2YU3vZOM6G5dR1QVDk4MWh2km13V8/Ti6AUoiBujl6q8FJTkX3/bT6+4rhtjOz+W82vAV6+MGYkm2sw1m9O2nFUNtn9nuf59XwOIGPjaxhj97SUVuUzk++5q2ibvPfAb5+n2nCz5x+7u+9z2+fmwuwCURmOIch/M+8BLiocUl3/rWt2J3d1dFO+ss6h6aZXBsu795P2ZyxrlYTbmTwzDE2tqaivomh5f24U6O7mxTHSiPaafTwd7enspT3uv10O12VZkkyFMKliRjBRP6q8/89e90Oo1+vz/htFPfkMlkJkQBEgSoLqbFv1zOnr7Yp/45Py8btBjk0dGRSsfCFyvj++qvwOsCARcfTOzv7+O///f/rhyXVegvoyjCl3zJl2Btbc15f8c53HH2f1nYjt/tdtHv99UEVhiG6t7kKXnOAoVCAU899RQODg6QSqVw69YtvPTSS8uuliDMhTibPq1f5LO/qw/n39HEnJ4GjWxgv99XaVZM/a+eui2TyUws0s1TsZFN4wtRu6LIbec7zYSAvj9vBxN6P+tqZ90fizsP07H0v/V60uemt9NsKeCWCU2GZLNZtRYNADUpQvfVqkbIC4tlbW0Nzz//PF555RW8+uqry67OQhHBfAWwieb0Hd9umrLniU0UtonmvnXz7Wh9JwZ8j5v0OL64BgI+Iq9vXfj2J+U8Jj3GPO5Bl9iqD5p0sUa/z7hY5DNQtdVB/851b+r/+wzAfQZ5+nemfXzan987NvF7GpIMNuNYBXFEWF1IhNza2sLa2hoqlQry+byKiJrnvWMThIFktm+ayVN+fHJyKZo8DENEUaT+pghzHhlmKoefDzlt5BgfHx+j3W7j4OBARZGQg06LiFJEu55axHYecX2pDnfyh8PhQznMTcekz3iEXRAEEylY+La8v7ONx+LqrkMTDiSU65HlvvcB2YM4h3o8vh/ZTClBVgESh4HpbGFSTGXO8vwnvVf17ymnd6FQQBAEKjUCn9g5C3YtlUohDENsb29jNBqhXq+j2Wyi3W4vu2rCOWKacatPMIcP3LdIWkbcPrpPQ/aPbCBfg0RfvHI8Hk/YUJ6/XI8o52/FkB2h/XmqFYoo5/nIXXZT/0y3t67xVFx7uLbx9X+oHJOtSiLqx7XBtGOJZcIDD/hEBw9i4OnjdP/1tJynkJxMJoNisYhyuYxKpYJ2u72yufhnRQTzFcE2oPc1vC7RbNaOy+TU+Tgl+iwwfy3adAzTQIM7Fnp94s7J53OTqDivzp2fE/0/bYSVC18BltdhXvcB/5zXRb+eeluYyuHl2QYepmvPB438b307/rdrQTd+TqZ6m9rDZyLHtL9rUTn9OLZtTOdqmjywnYPPINfVP5nqoreN3hfYzlOvq++kgSBQBMxTTz2Fa9euIYoiFWV1EvDnzna/u/YlbOIv/y4IHuQmpQV4arUaqtUqNjY2kM/n1aKDAB6K+uZ1pT6TPifnqNVqodvt4saNG2g2m9jb21P9Fb2KSeI8OdiufpL36y6RkOrGf1NUrn4+tPAgXWfdzvHzTafTSsA25eGk+puE82km/khkaDab6HQ6Knc1FyvoOLZX1uk7PY3HWWSWMZBPefMuPw66nnTtKf9vsVhUkyeuyYTTSLFYxOOPP45yuYxUKoXXXnsNr7/++rKrJZxDTGPSeft2y4Dbf0qVQvnEAajJWRK0eT3J7tAkdz6fn9ifbCBNurZaLZVOzLbwNDFNe8RpCnwbkx/NtzHZTj7GMZXFt6MyZo3yttkdl9+8yvDxV7/fn1hQntL10IKlo9EI3W5XbS+cfWhcs7m5ifF4jDfeeAOHh4fLrtZCEMF8icSJaXw723emMl3/z6teJnE7DptY5nM+pvZYhMFxtZftmsQJuy7BMgl6ObOU6zvg088l7l6Mm1wxHdc0wND308+ZBBNXpCH9zReDo3J47j5bZIStrra2icN0385z4G1yEGwCtM+kk36urnvBVl7cucVNbMTtdxZEBmE2aPC+u7uL3d1dbG5uqleJF4Hex7jw7SNc/QB3+oLgQSQZLehZqVRQLBZV+hV6nZpPFlAZ+sQz7zepP6QIkXv37qHdbuPw8FBFyVLqFxLpKVpWbw9qez1ijV7tJofcp/91OdF6ChO9b+X3gE2c9LmGcZjsfb/fR7/fV4KpyTaZyuHOtZ4j1NUWwiTzGAvH4RobEfTMdTodDAYD1TfR2y8kSJgWm9U5Ldc6iiJcunRJndfh4SFardayqyWcA6YZU0+7jwsf2+/TfwAP237+xth4fD9lBtkInu6JT6zzxTopNznZR5rMpT6IbDNP42JLZxaHj29Bn5l8Pp/ybP6JyQa49j9JFqljzJNUKoVisagW/eQC+nA4nAjGCIIA2WwW4/GD9Ln6G32nxYYJySgWi9jc3ESj0UC321UTJ2cJEcyXjGuArBtx3YlMYuRdIqTNgCRxJG3CqWlbm3Os15GfnynS3FYf30FIUrHTd/DD855OK4i6jue6/qZ7htfNB9uAxXUecWKPfq/wAUrcvanXnS9GQ5ERpmvO8xbTYJPgrxfy1dxd52dqc9/25QM6vb5xwryrPqbyaX+fa5703rTdl3xywrSN7T5IUi8ZaAkm0uk0CoUCLl26hGeffRZhGBoXGJzn5NS8nBy97zP1A/yZ5q/AFotFFAoFbG5uIooibGxsqKgz/S0bHhnGy+WRzuQEtVottFot3Lp1C81mE/V6HePxWEWSlEollZNZT/XC+zdyzjOZDMIwVP02F5LJ0ac2cI0TTH08z5vKJwD033R+XJSMGy8kFcr5+Y/HY5XnvdVqTUTH8zYy2UVuH3ne8lV3rJNgOxfXOfL2irs2Jy2W0/82uzUcDtFut1UaIy6Y87QHcXV1jatXiVKphFKppJ7Bfr8vgrmwMPQxp6/vGreP73jV51hJy9DrRm+T0ZoIPDc5n4Am9GjyYrGohHMqkxahpqh0/vYVF9BPQlC2jYH0bVyf6/eBvrDyrH7FaRG550k6nUYURUoIp/uFL7RO9xndm7QfTbqY3uiLmxg5ac7jtZ0nURQhiiIcHByoMa8I5sLc0J2mONGR47utqWxdoLYR15H5iuL6eZo6SpOxNBlp22vfcfUxMetgyHYe0+ISwU3/2xYkMzniNpGT6mwSq03bx0128PJM9ddFAX48XRwy1Y3EIEo3QOVw4URvF/qfpyigfemVRi6g805er5trgsImJpvOz9fxt5XlwnQc0/e6UKW3vc8xeVnzGlQnuf/mKYIKp5NisYjd3V3UajWVoiMJtuc2bh/AbDdMTnicXXaVo4vPpVIJhUIBGxsbKBQKqFarSkTnaT54ihE6DheS6fjk0LRaLbTbbbW45/HxsVq0MJ1Oo1QqIZvNKqHcVGf6nCLKKZpNF/BN9sLUf7hEyCAIJt4SouNR2TzCaTweq0XKXAK0bQxis8GmepH40Gw2MRgMlI2hsrit4ufM/9cnOPg5m+ocV69Vg48BfOvMn5Vl9Pmme8P2nQm67q1WSwnnNJnU7/dVRJZvTvPTYPfK5TIuXLiAu3fvol6vK0FOEKbB1V9Ma8en6X98sPkCNn9N78f5m1ncd6G3wExvyZJPQwt3kkDOJ3FpX5og56mhXLZpmnaYpo9y+eU2H9S2PX0fN46Ypo5J7ptFtdVJQUI4vSFIQQ/8DQR6i06POKexTyaTMS5cvmo+3LT3hHCfnZ0dRFGEj3zkI2cuNYsI5iuAqzMHHrzeTJ/pBsDkMOmdUZxjbnMMbXWyCaRJOpskx+X78HrE1TPp/rN03rOIeVx4dl0vfeCiXwf9/1mZ1XDw9o4rK25bHllOURI8EsI0eAQeTkOgD0bp/1QqNbFyedxAzHdAzLf1vX9NxAnXps9mEcPj6mGaKNHrEze4ntc9ukoDLuHkCIJAicflcllFtwD+jt0sDlNSJ9pUDt/f5CBS30TCaxRFCMNQ5SovFovGxTZNAp8umPPclM1mE41GA4eHh6jX68qxpnzoFLmfy+UeOhYdjxwmmtjkYrnpHHWx2NY+cW03Go0mcoNz4ZkcOu7c2drcJF4npd/vq+jy4XA4kRonLnJPF8xN4oDtXjNdk1VmFlF4Xn1+UnsYN1Z3QdeUhHFKzZLL5TAejxNFmp8WqG8qlUrI5/NnMupMOBmm8TEXWQ9X3xFnh+O24TafR+3qeaK5v0J2lr8JRv7ScDhEt9tVb3bpKdFM52A772naxkXSvnza8ZrtM9P9FOf7+W6jbzuL/7csuL9Monc2m0Wn01FjFQDKflHwAvnoJJgDmBh/mSaGbT61sPrQtVtbW0OlUsHLL7985nxzEcxXBFdHQdFQ3MHThbA4MS0uOsbk/NJ2XMzV9zeV7TonX/RjmoQFHwHR5HCatrV13D7OkU00tDm8LuJEcNtxfb83XfdZOjRfIXnaMulvPbKcBnrdbhfj8WSeNNtAiK/cTK9C81x+JGy4XiPj6M+fr0jM99fPM8nEgq0s+t81MNfbyCbYxR3b5Nz73lO+952p/vOeGBJOH5Qnd3d3F4899hjCMJz4fhFOtct5SiJY0nb6ZDj/nk8OZjIZVKtVhGGI7e1thGGIKIrUJB8X8E3PJI+6JydnMBig3W6raPLj42M0m020Wi30+33lrFNkOaWQoPPU+w2qM0+fxh15+iExmQRsm3jssnvcAaN2pM+4aE7b8NfM9WvG24pPuOqTIq66kBBKYvlwOEQ+n8d4PFZRtfpio7xc12JqvC30ttevwUkucjsvkogsy54QmNXWjMeTb3SQGEbiAq0VYLpHTiPUhzz99NPY3d3Fn/7pn2J/f1+JLYLgi8sfTFIGkUSAn3Y/vr/LtnFRkk84kz1otVoPLf5MkM2Nogi5XA6FQgFBEKi3Vmjilvs03N4mGYfzc+aT7rxdfLD5JqbtTtou+Nj7RbBs22ZjMBjg4OAAvV5P2apCoYB8Po9KpYJ2u63eXODpTena6eM/useBhwMIljmZuqrtfxoJggBXr15FrVbDSy+9hG63u+wqzYXTN7o+58R12C5B1CSaxxmseRB3XBsmQTKpsfIV1n3KsdUtyfFc8DKnPVfbZ9PUySaOzgNfQVVf7IanEtAXo9HL1ttQz1+ri8o8IlIXV5JMwMSdU9zg2SbEu8q0lWVCF9Zc+83zHpwGn/IWOYgVVhN65Xhrawubm5tYX1+P3ce3z5mXgzaNM8+dDHKc8/k8crkcoihCsVhEpVJRUd98spDqzx0PXVilz2lSkATzo6MjNBoNNJtN1afSMQqFwkOpVeIEXF205ylQ+LoRNoHf9D9vI4LK5eelt4MrzYXJbvj0jbx/5hMQPLcnn6Tgb0Dpx9Trym2SbgdMDijfblEL3a4Cpn4fmM+4ZFETvKZ96HnVJ/B5ajjftCyrDo3ZNjY2EEURXnnlFbWoMEUkCsK8SCJi+5QFLHa8ye0oj+Klt19J5DYF8PBxAqV4ooXAAag1Qtrttko3GWcD9Xq56htXxjTbTeM/THO95zHOc90Hpu9OqyBLwQCUaoX6dO6Pp9PpickcGpdSO9C2+niFygcmx4hnwfaddeKejWq1ikwmg9dff10tFnvaEcF8ifgKXVzg0g2Laz/b7LG+D3VUtvzgtg6O183lJHBnz1Z2EgFvWlHO1BnzupmcZ1dZrgFV3D42fCdDfLcxibM2cVnfz1Sm3oa6AOw6R1s99OvPjSpFKPHctKPRCJ1OJ/FCIvxa0zFJvKEoTp4zkAQPLkDZ7pe459B03qb9kg6qbNdG7x+SiEF62bMO9EyTBBy9jq4JhLg6ngWjLLgpFAq4fv06Njc38fTTT0+kYZmVpE6UqT+dpv/ngic5v8ViEVEUoVqtIooiVCoVFdmjR5YHQTDh0OgCKh2bHOd6vY5Go4G7d++i1Wqh0WioV7QptzJFllO0m0mM1YVc00Qk73tIVKYBtG2Mwvf1Ebr1Y5o+N8HrpkeWm66Pflx61Z0iaPhijs1mUwkWfAKDC+T6cU32m19b073F7ZPrjajTxlnuyykPMYnGNMahPLHdblc9j/p9MU9R8KTI5XLIZDL45E/+ZBwfH+MP/uAPcHx8LJHmgjcuu8tx+aN6GfOoi34M0zFN9oTEbloskRZJ5P6NKaIcgErlVCgUVIo2moSmtUcobYvpbZWkz5zJ3+W202d/vS2oDfjn+v/6vvy3/repbno9ue2lz/Q+Nslk5Wnrh6eBxjn0RmC73Uaj0VBBFDRJs7a2htFopMaSdA/zNWaAh69tEDx4M840NtJTrIq9OB3QQrG1Wg2pVAr1ev3UXzsRzFcEk1hkc45sYlhSfATcOCHZJrDrjmeSQf60grjvMZKIHKZtfNstab1OK7MMxGzwARQXC3hOWp8F0fQy+W/ajwzzcDh8aOac5zV3Mes1nkacNg3K9YkM1z7zxOeZsO037TamiYhp6yGcDmgSrVaroVaroVQqnVjfOuvkFt9Hf955X0f5wovFIkqlkvopFovKuQYeRFPzvOR8QpBDTgcJ1q1WSwnl3W5XpYIAoIQ7mkTUF+yk+vs8l/z4JNbPEkEbtw8fd9iEdL0s7pjp2M6RL5pG9khf3NQULczrZHLWaRv9vtAnPnj9ded/VVmEw5tErDFtvyxbwcccg8Fg4nrrufiXWc95Qc8FRZ1FUYRer4dOp7PsqgmnlLhgj3mNC+LKSiqu8klQnhKS+nZuV0xCOQmMuVxOvQWWTqfVYtNkz20R5dNiEs2pTvr5xf22CeTcfurjGNvYxvS/yabSbz33u54OxDU2cU3A2/xgm0ZC350GIZi3G/fB+f1LfjqlTe33+wiC4KEJGzpn26SIPlbigRjCyWO7P+OuB/kyURRhOByi0Wic+msogvmKwR0+X5GY4yP8cqPHt+dRULYyTbPLXKyzdXxx9dP3dwmIpgFMnFCo11Wvl34814Nt23aaAZptAkQ/D/074MFAxVVXPf+9z3mYxBzbcWzOqGkfX+GTBoRcrCGDzWetaXtbR+66z3VjTQNUAOq4FGlOgwPb4MYk3LrayfX/NPeSaVuTgG7qV2znxAez+mDFV4h3PV+mbWz10O99vc/h2552gyzYCYIAYRiiUqng6tWrXmL5Iu8HfeCv9+UuW8f/Jicjk8mgXC4jiiJsbGwowZzEa3oeed5Hcrx5PUzPDDnQBwcHaLVauHXrFrrdrhrEjsdj5PN55PN5lQuVjunqM0zf6W1EP3oeVVN7mNrY1p+a+lC9Lnx/k73Tt7G1If3ma2fQ5AO9EUARV8fHxyqnJxc8+KvKenS5fk/wVGRUF1f+Wfp9GiLMbf20a8xj2va0YbqfBoMBWq0W8vk8gAeTVePxGJlMBp1OZ+LV9tNs74IgUAudXrlyBWEYol6vS2oWwQvXve7zLNj6E18/O853jYOERZr0psUQh8Ohss+2yWTyR8hGl8tlVUar1UK9Xker1TKmOktSZ5PPp9tVskmm3zzgSH/jjZdjWwvFVleqCwmocdiusUmToL9NkeamfXS7q48P+G/Tj+04PAp71aBxD41D6L4FgG63i1QqhWKxqFL4AfffKqJIc1pYnqOPu+g33UvAgwVDeaQ5T5d6muzfeSSdTuOpp55CvV7H/v7+qc9lLoL5EjGJPq5tCdv2vuKyL777+g5U9DJnrdtJ41tfH2F4nsSJ/DZRdBVxiT76YGOWa2GCyqdIcxrsJblP59G+0zwTLhFbF4Pob9Og0nSu05zTvO+zJOWdNiFBiIdSlWxsbGBtbQ1hGM41FYsvPo6d6zv9NzmZdD6VSkUJ5ZR+hYRY04QWn9iyibwkzPHIcspvSk4aRYPoqamS2DKTk+5yFPk2vpNwJkxOfty2NofaJqbzCH0u+POcs8CD/OzUtvyc9XzqPtHgLjHB5MivKtOO8+YB3V8n1T4uIcq0LY8052ITgNjounnY6pOExJBqtYrRaKQWjWu328uumnDK4c+4aeJtGfXhdpoH4lBdebSuSSyn/cnGUPoL6hf4wp5ke5KOlU111n/4WMAlmNsme3Xfw/SZjn4tTYFO+rau8+Lb8rLpb72vdYnrcYK5/j239y7BfBlj2qTo/jcJ2P1+H+PxWKVP5fn1aT/bemOmY+jPsP7GlW3iQpgvs7RrEAQqdVSlUkGr1UKz2Zxj7U4WEcyXjEs8dkUH28rh8M6Ez+z6PAB6B2QTven/JMZM7zBNdTMZvDinwSQQmvZ1OTSuY5jO03ReelmmbeMEgmkEBFsbma7dNA6kax/XNbZtS+VRnfQFPvn3NJi05TMzXT9+nq524cIFCSJUB3q9jO5NPQ3MeOwX8eDTFnrdbPezXn/TtiaRwCSo6eXzH31gp796OY1QYxoI6ZhEAH6fuAbarn5HOL1Qrs63ve1tqNVqqFQq1j5ykQ6yb1/O66Lfs3y/QqGAXC6HnZ0dFItFbG9vI5fLoVgsqm10B8+Uz5o/k3zxJOozSSjf29tTC30CUDlUSZynV7y5g6w7SPrxOLZFLfW+RO+beJ1dtljfxtQnmcYuJhvocrLJDvBF1yhfOUUJ0tsO1MaHh4doNpvodrsT9oqL7DZbZKqLTcywncMi7/t5wOtrs9eufePK1ss7LYxGo4nFYoEHEzHj8XgiHyxwOs+Rk06ncf36dbRaLYxGI+zt7eHP//zPT/15CcvH1U+YxtGzjF314+p9GfkQNOlNwiHPBa1PqurnQRPYlUpFLfxN+5Idp/KmfX74+ISn16BJdBI99RQypv2pnXib2drStl0Sv8I19nJt5/KPTPqBC5M/ajum6X/6PRqNcHx87DzWKqD7mNRmrVYLQRCot+6iKFKTRDSGoh8+OWR6Hvkb5PoEDG3HgxhIIzDVU1g+hUIBzzzzDA4ODvChD31opVMHuhDBfMm4RFW+je6s2jpf23ZJhASfOnF8nFHX9j772BxtfswkrEpn6itcmwYA04jfs4hMcYOQpMc1fc4NJEdPwzILLiGdDLEu4PBF9nzOa5a6JcV3EoN/HjfBYRKeXPvE3X+u55ew3Zs+2wlnlyAIsL6+jrW1NRV5bRIUbfvOs6/36St5v2ETPckRrVarKBQK6nehUDBGlPOJOZODqjtq9H+/31dpH9rtNrrdrno1liLXeGS5a3FJvR3oty09lr6N3qfo4q+rPU2OrcnRstlJXgee0kZvP+6E8ag/npIrk8mo14/H4/uRVZ1OR7Ut388mlNvGWPpYSN+HTxTw9rQJ8asCCS36+diuGz9X3+dtGuJEDdc+swhUJmGFJle4QEDPI78fXceed3+3COjccrkctra2MB6PUSwW0ev1HnptXxDmQZIxJ/8uybNEfoLpB4AS9mgClfsT3KaRjSGxnUfpUnoLsuV8YWCf+uk/evoUOq7tfx4hr7dhnCBsIqnvMut2Lk0kzieatR5xky08Tc2q9uE+fqKeqoXeluL2PwgC42SRPiakcZppLEB/08SynkKUj/mExRPn2xeLRXQ6HeTzeeWXnDZEMF8iurHk4rFrO/1zk5OoGzGXKO0yGnF116NrTZ1f3INk+s7lVJsMtK0M2z42h9XGLIJ0Ukz3BX1uurY2I2u7p+KESR+H0FescpVvOh6JOPQ//ZgWwOHl2sQX1/3uuu9ocEvRlplM5qEOftprbRPrTfUwHcd1L/s843r5+mdxg9hpBsC+37v6CtPCd9OWJZweUqkUHnvsMVy4cAHVahXZbNa6remZnMd9oPcpvB+2HdNkG0kEI+H/4sWLKBaLqNVqSrgmQYlP3FF53NnV33bRz5fWfOh0Oip3eavVUos10SvetHgYRcHZzkeHjkFpXfR+jY85fPph2zZ6W/Mf3WGz2bHxeKyieHu9nhIndeeKUmNwUYPKSqfTqFQqCMMQGxsbKtKvXq/j8PDQKLLz9C2ucZ3+OX3Hr7/p3IGHc9qvGiS80HOrnx93bGd5TmexLcuG36M0zsjlcuoVfbovfaLMV/k8Ofl8HtevX0cURbhx4waOj49xcHCw7GoJZ5wkvp/+LLn2pTdSs9kscrmc6qf520kmgZDbdxof0ALfYRgiCAI1mXR0dKQmaJM847o4Trae8qnzvOq6zkDnbfIlqe9O0nam9nPZQr1MH3zL82lD0z5J7KzvtqZ2Pw3o4w4SQweDATKZDMIwVM9GJpNRYy8ai5Ft4/eXrnvw4/DnhU/g8HEvT3MUN8ksLJ5UKoVSqYTBYKBSs9Tr9WVXKzEimK8IJmeBOgCbwKd/z8uK28aG7VguUc50PFMZprJsn9lEwqS4hHoXccKjLsbrIoGrDF4vWz3iBBlTWT6fm4TzRRiSJNeL2oynYiFsQrmvMDwtfIETABOG2Xa/83OJq1OSQbtt37hjmL5b9UFD3PNqEi5t26/6uQrx1Go1lEolFV3Oo0hO0rmwPcOm/tT0/JOjGoYh8vk81tfXlVCez+eVw8ojvHXBXReA9chuPrFIDnaj0UCn00G73Uav1wOACaeZR5ab3uyxjT/0z6i/TCJ6uvoxXSA3fcfbQO+DuVPGo735+dPiVHqfMh6PlchBjhy/ful0Gq1WC71eD81mE+1223gsV75OV7+ln4dpwoD/zaPNV33RMB2KOtMnP2zt5mKaPn8aGzGvfUxjSbrmlA+Wri9N3PMJGNuzdprsXhDcX8j56tWruHPnDprN5oTIIQjzYJbxoGv8THaThGay36bFmcm+83JNYjmlQkmlUkoYp8hySvfl6h/52ia8XB4tzlOv8AhyvUz9OEna0KZX8O9c442zgs9Eru+2qwq34QSNwTqdjgoA4fc63ac8bZ0pB7z+Wx8D6Z8Bk88lfwb1twxPsr1n8flPAz5tWSgUcPnyZezt7YlgLkxHnEhkE+RcQpypE0nywMYNMFxiq0vgt9XRJULayrQZGh8h2DUx4CN4m8ozieZxxzT9bRIITAMYvTxTW9qwtb2tnqbvXdjEE35P8u9NgjkZNturO656xF0DXkfT93whFj74tKVmoWO6MA0q4nDV0Wff04R+H+v4iJam7U/rIFQANjc3sbOzg42NDVQqFQBmZ+6k73XTfWe6b+kziuYql8solUrY3d1FqVRCqVSaEMnp7Ro6hn5M4OFFo6iPGA6H6Pf7anHPTqeDer2OTqeDZrOp+lGKKDMJ5qbj2erCz9UW+eoScHX7YBrX2CYPdDFCrwtF4ZHQMBwO1XlGUYRsNqsmYPTX0oMgUFFSFBVIYkMmk0Gv18P+/r6KLtcjym2CuQnTJIDpt74t2Uv+v952qwI5qsPhcEIk4teVHGruzM4rz+UqtgnHNGFDkeY8EpS3oX7/m+6X00IURXjqqaeQy+XwxhtvKFFQEOaJPpa2jR19xpT0NwnRFAlOtoPsB9kdk6jO+3E+iU194mg0UjnKKd+567mgupE9o0l4SvOmT8rz8+V/295cI3wjyvX2sm0zb+ZVvk0vmcbvdJWvj+NOCzbNho9HyX+nyHL+BiVNBI/HY7VWjP72Hz+Orq/o/iKfKOKTUyTK8zrxtz0W2T5Jxh6nWVD3vXfDMMT169eRSqXwyiuvnEDN5osI5iuM7Qb0Fd50Z9IksLrg2+sCqL6vTUDQz8MlcrjOx2WIbcKCrR4uUdzURnHXIWl9TZhy3pnqxM/BlBdWx6eNdeNjg98HevvbHH7TPaDnJBuPH6RiIaOnL/KZFNd1MU1AmNqJDKx+bWwOqs8zEVc/177TlnVasAnlhKkfiWtzEc1PJ4VCAWEY4vLly7h06ZJySKe9ji57MU0Z9D8fqBcKBRUdRqIXOQVRFKFcLquI+XK5rNKgxAnCdBybSEaOdK/XQ6/XQ7fbVRHlPI0D78P4K9hxect928vH5tm20cVg/jf/zNQG1E/zqPLBYKCuCU0OhGGIbDY7cZ14vQaDgWo/yg9L4m2v11OO3WAwQKPRmEjdQo6Yj9Bruo99nCvdztps+Sqip7ehHz2CHvCLOid8zncV+37b+ImgcU+n01Gpk4IgUDmNaYzEhYXTSiqVQqFQwObmJp555hncuHEDr7/++rKrJZxBkoiZrvF2LpdTtp1Ecm6vaTKajw90X4G+49/T4r5kS/QFpDl8rQOqC02Gc3+KvjelTdPP1earuz7zabM4XG2tj/VPakw/7bnM0g47Ozv47M/+7JnPTW8r+puPlegtOhKrbUEPNE5NOg7k14lE6sFg8NDbDjwNK42dTWlVeFQ4fxZs40WeqoX+pgloGmPwyHYfPcWXWcZms9w/yyJpe4VhiN3dXTQaDTQajQXVav6IYL5EuCPMSXLz2URw/aF3PYBxAiLvkFwLL5rEeV6mb310kcBUXx/iytG3tZFUNI87nj5o0XPL8Uhm2p7XUV8dWjd0ccd3XWO9nvo+trLiztW0n77SOn9dkYwsH4TS5y4hxnUecc8Zvy76c0TXwyUsmUQdW5348WxMYzj1+pv6h1V1sGd5VvW25+e/qucr2Mnn8yiXy9ja2sLu7q763Pd5cF33pPeELuLqn1N/nc/nlSBLfUUmk0E+n0etVsP6+roSzOmVa/5c8nvYJbpye0rbUjQ0/VBKFnIIeF25UM6daf0Yvvba1mb6/7Yxhm4HeF1N567/cOeKIocGgwHy+by6j8IwRLlcRjabRT6fn5j4pO1pITW+gCdB4jjlgKfj8GPb0o7wurtsbhKH1CTArDL8nubPEo8K078jeFRlnE1ddWzXXD8vemYpxys5+jw1CwAVcc7LMB1vlW0gTeDVajVcu3YNzWZTBHNhJSHbRG9mUeQsCd0URcvf3qJnkOdpBiZTp1D/yO022RSTiEf1oIlfmlSj36YUa7rdpM/4b5/zn5eYO+v2JzW2P0mbU6vV8Bf+wl+YuRxdPCZIN6DxTq/Xm3gLz0c3iMMmmNMPPT80uQNATfLo+9CzQGMxXkeXsG0SynmqI3pu0+m0Ok4QBMY3OFbZdq4ScT4XJ5/PY2NjA6PRSATzVWbend40nSm/qXRxjuMa7PoIlfr2uog0jVBvE+h1QXNaZ84m7JkmAmyioKuuev18RTpf4xx3rqbBkr7Yiu066YMdPuur31P6a/umGVlfYTJuwEJtytvXB9qWoh25iMGjp/TrpddPPy9eN9P3vs8O1YPvQ6+O8/rrx9PvLVddTG3i2sZ1H9rEN/27VSbu3OL2swkSIpyfDmgQ/cgjj+DRRx/F2traVOXMqz/X96Hf5KzSAp65XA4bGxsTQni/31dpWKIoQqlUUqK6Hu3F36Sh//min8CksMxTgJCT3W63VUoW+oy2IVFcz2Oqv55tazuT2MsFf3072wSDqR1Njh19r7cJtRePjqLoerIlxWIRlUoF+Xx+IsKcixd66hRKr3JwcID9/X0lVOrjDpqA4JHlptybLlzb2MY0Pm3me/yThq5LPp+f+EzfhtDPmQtKQRA4JyVc4wP6fhltZBtzu7YHHgRHtFotZDIZFItFBMH9vN+0JgE9A0nGXqtIoVDAxsYGrly5gn6/j1u3buHo6GjZ1RLOGSZ7yN8i42lTut0ugAeCH/dhyBbzSFfeZ9Mzy8V2WyStHiHLbRp/S4yLjnzsYBLJ+fnNu9/w9bV8MAmwvsf3KXsR2/pg85dnOQ6/xvqYgaAJykwmo/xsSiPEBWpTAICtbr7+LZ8IDoJACdU0NuPpiygIhUR1EvXprQtXZLyulejH1cdZFOFO4wvy/fnbHic1bjjNNtyXKIpw+fJlBEGg1ljiASqryrkTzAF3ZI+r87INwG378n1cgjLfP+kg39W5+jgHSTtnkxCX9AH32WdVBD5TXW1ipL6NyYjw8+KGgTpsXRy3fcbLMNVBj06w3Qum+3uaNncJJHH76flz9cGiaR/dOLqOabvffK4jN7wuYWeZ6O2x7PpMi+9gjHCJLKsoHAnxUOqMWq2GnZ0dtTDjPDCJj0kFLHr+qc+miK4wDJVwzgfphUJBRTjTgpGmPoTXj/c5evoqXmcazHNnh0encTGXi/ym9F+uPpXbD70PdNkOV58LPJgA0KOLTeivzXKhnH6TcFAoFFCpVFAoFFAoFCbOk7cttS85iO12G61WC41GQzljJlGaO1H64m62ttDbMq59XPaUCzC83FUVzAE8tOCdCdd4if8fJ4rbWJZdnOW4XHyj+40CLEjw4M/4ql5/H2hR3Wq1iu3tbRwdHeH4+PhUn9NphAuvqzKW5Gt7JGFeIie1STabRTabnRC49QloHk1L29E2VBa3I1z401NQ8j6frz0ShqGKYteDjWz+os2/0b87iWtuGjfMU1w3fT7tefG6TVuOS9sx4TqOr5/Ex218H75uCE2+0PiJT/roi0vPeo1M96L+phQ9TwAmJoPo/qfxFn9zktcRmGxrKp9vS22gaw90DC7C8/UEbClrXOeZhFXpa08C6kcPDw8RhqHyXVadcyWY66I1/1yfiaLPTdvZOisfYSeJIOT6Xnee9W11UcAk+pnaQT8Xk2Osi6wuY6sbG15P/di283EZDr4voefKNG3vEklN2/D6+YpzpuNQB80jEqjOfBBmE0psg1nTdeCDTJ7jVW8Pvo+NuO9sgzGXKMBXbw+CQJ07CT62Y9vq7boe+j0b90zSdnq7ktE23Vdxg06bo2+6j6cZwOr3qe3Yq0qS+0/vh/RnU9+X7i9xvlebra0tPPvss9ja2kIURQ+l6yCS2AnT/rbPTM8N/dCAmlJ9RFGEQqEwkYt8PB6rXNnk1PIFNvVj8WgWAMqpNkV+8+gx3p9TCpFWqzUhnNM2AFRUO3c+yDHydYR4O/BzMNlE+s5k4/n58N/6M8ztIV+EkyL3uFNDExKbm5sIwxBRFD20uJr+Cjzl1Dw8PMTx8THu3LmDdrv90IJT/McVUe4aH+rtZ2sL3ZbxaxM37tTLXHVcY2HXeNqEqY30+9o13l0k8yifnvVms6lyIwfB/Uhzep5p8sjUdrOKHSfJ1tYWKpUKOp0OhsMhjo6OVDS9sHg2NjbwyCOPIAzDibdClgmP6vZlHvc79ddhGKpIV/42R6lUUtsOh0M0m01lWwuFArLZ7MRbSfzNWbIhui2hY/K1RmiyPZfLKaGPn6eeqoL/TmoTkvgx+n6+4wnbON32uen/Wa+v7/4mf99l4/X/k9oyUzl6XWz7uK4dfcf9V/pNAmahUFCC9HA4RLvdxnA4VG9BmNbMsPnbtrqa2o8L2wBUJDifjKK3M0ulEoIgUJHmlFKGTzzZxmJ8bMl/87EZ/dD4nbajtuh2uxPnZ9PKhHiq1SquXr2Kl19+Ge12e9nVieXcCOaz3sRxzhDhK1QtawDrY0Rd4mLcvknr4lPWNO1uI87QLeqaUPk8XzkXN3WxnEdX89f3fZ1ivfPm4kSSgY1epkmonAYa9PEZbVuUhW9588DkZJtECVfbxYlwsxBX1lkz1j6TUS705+U0CQfnCYreKpfL2NjYUIKnjZO8jnwgTcI3pfuglB88wiyXy00sLskXMzY5tS7h1ZTfmw/6KbpajzLn+SL5vtwh8HEAaV8Tprrz+uv7m2yXq2xTBD0tZEoTDDzKn18PPcUZ/6G2owU+m80mWq2Wei2U216TYE51M7VdXP+rt71un12Cuf6/bXJnVYkT/03otniWY/LPTiMkWARBoBZPo/6F35v03Pue96rZQ+o/K5UKqtWqmghctXqeRUgoqtVqKBaLc33Da5XwGT9we0nPmkncBjARVQ483J9ze6a//cuPRz98LEHroOipO3XbRMfRmVY4j2NWn9k0LndNouo20eRn2cb6Nns6TV2n2Tepnz3LsXRMYzHXfQc8CAzT08/RvklS0PHj2AR9/f7lAYN8bM2DPWhcTVHpZPtM5dnaRK/PaDSaCDTkoj1Ndunp/MQu3cfVDraxSC6XU2/m8rVZVpVzI5jr2GaF4hwSwJwP2tUh6x15XKeho3dy/LfeQeqCqF4/U4eko+cmNb2aHFc3U8espw/hxt7mTNuMqOk6cefT1EYmY2q7D/jnpu1sbWCrrx5ZTuXyXKyEyXhwKO8XnSs3KIS+YCbfTh+06djuTxNx587vHdqGR0/wCHs+Q2y6//Q6mq6Z6V7SnW7bOfHy+Cw1DRBoQKGL/HHlmohrY70/MZVP3/FZctM+rj5tFYlz9E3npW/L20t/loXVo1Qq4bHHHsPFixexvb3t1e/oDtEiri2PKiehPAxDFT0WBPcXMKJF63K5nEoDwhfe0gVq4IHgzfsXva83LdxFizY1Gg10u10cHx+j1+uh3W6rMrkDRM4Fd7j1aD1X25mcf91RN/VN+o+pXH7deLQ9RQ71ej20Wi0lktMCZ5SjvFwuI5fLTUTg8ddt+TWg9m00Gmi323jttdfQarWwv7+vxHj9vHTHyJYvUx9bmM7dNsbRf+vjHtezoD8HcWlPlgVfIM90/+jwNuDjgbjtk3La7AEXxfP5PIrFonqLJQgCtX7BvB35RYluLh599FFsb2/j93//93H79m3VvwmLgSasq9UqqtVq4ojuaUnibyRhVuExCAJlW+iZo/6V7OzR0dFE2hVKkRIEAZrNpvoesIt4ZKtIGM/lcmoSnq+7QcfVsfnBep8Y9wzP2vY222b6TLeXNkz3hklbMP3PP4vTZFzl6s+Byxe1feayT7br5qrjtNjaSB9LB8H9N9TL5bIa91CQAS0USkEMPMDP5He7xj+2a8jtP413SfegZ6xYLKo1hGhc3O/3J95CjBtnmI7NFwClPOq0fgiNJWkB+G63i3a7ferGEasC9Xe1Wg2tVgv1en2lU7OcC8E8rkP2+T7JA2Hafh4PlK1cm5BmOqbujM16LNu+SbBtn1SETIrNQM6K7uySQMFfsycjxMVrXie9vLjPfJxrQn+l3pdZnSa6p3QxKW62Nk4w8MV1rq6BiS4+m8Tak3Qkeb04NhH5tBnzeYifcQMzYTWggXkURdjc3ES5XLaKfnHi+LxFcy666rm/0+m0eo2VO7kk6HJR2iQ0m0RAm5NEUB9JzkC320W3251Y4JO3kZ6r3JWX1iVEmp4l1/jC5SDx9tDLpPrzvOTkkJF4QBHkFJXCBUPTefK2p3KPj4/V4JzS2fDoQF0w18/XZXttQjn/7TPmdN0LLidzFQmCQL2Rod//eqQa/0wXDlzXwNWmrn5h3n3GrNjuLQ6NFUkg4OmWKAXENH7LqlEoFBAEAWq1murnRDBfHGSHacJ3mv5kmr6I36fz8PnmUQa3/dxH4ZO8vD/ifh4wGXGub8ePQc8tvbnGxxHclun21ve5jusDfPUAve6u/+P6YtPvuPrp+8xLG/AZn/jU0eezaeqyaLidMF0/fl/rY1a6PymYwZbj23ccY9qWb8PTtA6HQzUJz4NS+BtXXOg3aQtxkwd0Tul0GuPx/eBGsrEk3NMbX6fZzi4Tur8KhQKiKFJvk60qZ14w150mE67BpWnfJMZFH+C7hBzbPvw7kyiml21yMHRDTdvZjm9zlHVDZ4q2d9ULeDiCne8f116u8zI5Gz5tYBI/XeeuY+t4AUxE9vEIexIC+KumtkGE7Rpxg0BRhTTA44I0gAljRiIVGRhysGzOmutzU5uatiUospzaZTweT+T2o31MgoHrWtueAdN3cXXkZZtyyfMBhK1evo5D3Pem58v23PK3S0znwrdZRXTnw6eePn2x730tnDyZTAabm5u4ePEinn766Yciqky20GSHiLj7IYmjSQtI8shl/n0URSiXyyrKmaI89RRadFy9v9b7GSqX+mXdKaec2wcHB+h2uzg4OEC/30er1VJl8zeJKOKN/+YLj8W1h03w120J/zHlXtfblX7T3+SYUC7KZrOp3rqitqd2pgVUyWnRhRaqA10LACpCaX9/H61WC6+99hra7bbKSUn2j4sbtlfm+W9+Hvy6m9LvmMqkbfl9RU6hSRjUxyWm8eIq9mnpdBrb29u4cOGC8Tmg60MCE8/5q+eLp/MzRarb+gogftJ9FdsNsPsdo9FI9QfFYlHlWM7n82pcSWPMeZzbMsQcEg6ffvppXLhwAb/927+90s70aScMQzzyyCOIoijRfvN4fkz2yHcMzdHtQdx2pnqQf0QTNjz/OPXXZLP0nOJBEKjJbFt/TP0+TbgXi0UllpsEeT1FmI1prkOSsTbf3sfX8/ne5VO7/DdTnU2+je3/uHZMWm+f9pulLj56R1wZPvtw+0r78h9av6dcLiu7TZHWtOaEbR0NfgwfX57XnZ5D0k6A++M6igCnNYMopRTZQUrhR8ESesoWU1vp14Vya7daLRXZToEyFI2+ymOI08D6+jry+TwajQY6nc6yq2PlzAvmgPnhsHWCNtE1Tpi1Ydp/GnzK8Km7qX62/ZOU41tH13H0Y5lE0yTHNHXEJmPoqo9PZ247D5NDrDuMpv2m/YzK5UaGR9uZBA4uzpiivVz43tN6W+hRG3x22lS+6R6dVYhOuh0fwPJ2pe/0+yjp8+66D21luQZtIhLf57yd72mCnNKdnR1sbGw4F/aa14DUtxw9dyk5uLTYJ/2QUEWCNHcmTc+cLpjb+nH+wwVlegWUXjvlizjzN3d4RLw+eerj7PFtbYKsbkuSChtUlr4oGkUOkTCey+UQRdGEMEg2RLdVvM3pp91uo9Pp4PDwUOUqJ0cqaT5Kk2jN28p0fJOg6+rTbd+bxHL971WFjzOAB2MVCibga7fouVP5hAb/3iSmu8bqLif+pO3jvI5H4jgJBzwCjk++mI6zyraRX8MoijAej7G+vo4gCHB8fLzSdT9tpFIpFItFlEqliclIX3SbMMu1mbUvm+X41H/zyPLxePzQxB2ACfsKTC4iaBMMaXtKKcEXA9cnmk372/yyJLYgqd0x/T+tYD7t9j7bxZ2XDZc/meQck4yp4urItQ/9M93ndB0vKbb7y9ZGlOovn89PTCRxcZrsvF6uzyQBbefSd+h5o/roQSH093j8ICKeBxi6xgR6Xek8eMozmcCdDboGuVwO4/EY5XJZBQGt4ttkZ14w9+24uJjI/+fb2x5407b8b5Nj51tX0/cmg+UjtsWJaHob6NvyzoW24bmcbcbWdBz9fEz1NdVbv0auc45zElwdsT5bnXQwQJ0zj6Tmgyq+2rTv/WFCrxd/bYkMBg3S9OtBgz36zaPdeX15/VwiNt+Wb0/tQANDOh69Cq8v6OQykqbzpuPpkX16nfTybYMP07PFjTK1q754Dx1Dz9VvOi9Tm5ra0nS/6/WPMywmIWdViXu2fQZzrm1OWhgRzATB/dfw1tbW8Pzzz6v8gID9ern6SZPtSXqN+fYk2lKfReL+2toaKpUKKpUKSqWSikA3OT28L6QfciR4qhH+nPPzJCedhPLj42O0220cHx+rtCx0LF0sNwnnNttuujZUJjAZzatvY/oxlWdqYzo/ipTtdrsIggDFYhH5fB5ra2sqJzzZUT1VgEmwINtNbb2/v4+joyPcvHlTvfLJ3+4yvTZvGusAD3KEmyYgaHtenv6jt5Ot3Ux2Ng5+zVYN1/2itzO1FQlV5IDTGwg0bqDv6Vnhv3l5AIzfn3aonShdCfWpYRiqMSYfZ57G8w6CAJVKBWEY4rHHHsPe3h4+/OEPi1AxR3K5HC5evIharYZKpTJ1H6KLevMiztab6pEUbvNIAAyCQAmAvA6pVEothkq2hL8ly/t6qj/5DJQnnhYF1/s8X1HRhc1fpv9dbaDvY7NNceW4fPxlorevra1M9knHpR/4tLOpTrbPTHXV/UFbWbYxdFwdTH4zfU4/9JYE2evhcIhms4l+v49ms2kcO9rawfaZ67vxeKxsX6/Xm1ggl499KU0LpS7sdrsPBS3GPW80VqSIc/El5wONW/L5PHZ3dxGGIV5++WV0u91lV+0hzqxgHtfZ+XTkro7P5gSaRFDb/nEPmk0oc+E6L9sxfeoSJ1S5BCvX8ZLsR9vMS/hy7et7HTm8LaiT1gcrujg8C65rrIupPBKR6kc/ZNBodWguOJCTGTeA4n9T+fQ3zwNMg1AeQeZ73ZO0RZwIztvK57g8fyFgXowvyUDeJBKYtrV97+uY+AzOVomk19lnf1cfvurtcVZJpVKo1WpYW1tTr1TqmGyEy0nh309ju+k7cojpNU/6XSwWsba2hjAMEYbhRP5EvUxus23OMNWRT/Txt21IWKcI6WazqSKjaQKP+lddHI/LXe56TvSxk8nWxznVpmujtwfPEZlOpxFFkXqlll5Vp0kL03noddSvebfbVQuvHR0dKWGe7I4pEpD37/q58fPm6Vf073wcW749r7MrD6heBq8D/RwdHa2MOMHRnwlTe5nsKaVwo/tkOBwiDMMJgYpPQJkWDtfbjD7jx9I/4yzCMV5EWSTshWGIIAiU8MeFAdO97iNILttOkr0YjUbI5/NKoBFmJ5PJYH19HVEUrVTfcVLjM91P4bZYf/tVXx+A/je9ocRFRVo4nEfkApN9zzTnmlRgtG1j8+nibLsJUx+zaEz9Of/b1MfzMYNuK8bjB0Fz+vjTpcck8T9s39vGrrZjmeqe5HhJ4eXrKUPT6fTEW4B8gpu0jyR6ln5Mm22i72mCy7TAPdWPyuCT7kmimX3b2bXveSXOJ6tUKkin03j99ddFMD8pdEfEdGO7Bol6h6CLY3o5LidJL9vW+cadj815jcPk7MY5Br7l2owtP66tfNs+PtvE7Wcrx2ZUTdfep2Mz5bCm+44WItONsr7Ap81ZtJ0/h/Z3tZue4xyAinjXo+RIMKd99FeiOaaBIf1NkwV6tCMNLCliTM/frl8n/V6lOpvagW/j4wDrx7NdbyqDD4ZNuX1NdbHheubj7lvfckxlTjsoXzaugant2vv2TSfllAmTpNNpbG1tYWNjQwmkNpJcHx8bwtGvP0UyU5Qz/a7VaoiiCGtraw+9Rq07lbzPoP+p79MdZH1//tZKr9dTQjnl3KbcxFxQ5PnJdWHZNLFnagP6beoX9W152aZybPB24GIETU7UajUVyc9Td5mcd/qbp+vQ695qtXDv3j3cu3dPCeZcXNWdPb4/f5PIdFzThASPgDfta2oL/ZroC4/qP3w8SraVnNNsNovj4+OVjDKnuhOm8ajeVnQe5Pjyben+odREFH1Oeenp7Qv9mPzNQZ+xAmdVbIXJfo3HY5VqiNZToEk9agv+9iGHPzOr6synUilsbm4ik8mgWCyqcakwO9lsFtvb28jlcjOV4/NsJL3HbOO+eaLb0SCYzFvOfSeKZtVtuumcqI8uFotqgWou2PF+fdp6J/lOf871n7j9TgN6m9p+6/u4/nfpP4vA1B/HaQUuWzZtagvXfWk6FtlrGsuHYagizXlEt20yO+5YtnE2lUHlUlq/0Wg0EQQIQI2ZstmsGj/Q4tlx5xxH3PhgWg1vmmOtCrb71rbt2toaoihy+oPL5EwK5sBsIpbeYZmEGB3XMVydgu+NHzdwsIlrvg8lr4dv27mMj81JdJ2vS9zSHZ04UUTfJqlIZjsPvQPQDQbPIcnvG5OTbquv7hzq55m0w9X346IMH8Dx1825yE1GR68vr7MeaUdl0fH4StokxNvOwXQv24wlj5BPir6f6TnVB7dcsOD50nydBV+SPie2e0Y/tq2fWCV87mtbf2ga+Nu+W+U2OMuUSiVEUYRHHnkEtVptoq+wESf66tvwbflgmQub/M0X2p+2p0FbqVRCPp9X6VdIKDflHOX14IN43tdxsROYnIij1z1pAE9pV0gI4znLeR/NJyd1BziuzfT208cBJmeFC7I2W2g6ti5Wk7BXqVRU6hU+wWpz6OlYlK6GFnWi9qWopoODA+zv76Ner6v20yc+9WPoYjSJKLyNuUgeV0/629YmOq58n9zm8mPz3yZbvSro95Z+z+j3m2sMBkBFbfLFLqMoUo4w/61Hkpnua57XlG9jc9j5d/PE9iz5jFmHw6FKO0RvaBQKBQwGA3Q6nYfGpfpxkxwvjqTiaBy02NwTTzyBe/fu4c///M9XMs/paSGVSmF9fR3VatXbz5v1es57/6Q+ksnP4m+KkV3hwh5/7vUUDnofwdNP0niBUkTovso8fFCfNtI/022W7Rg+dVwUPjbT1k+b2jepf0ZjN/qc7KvrWfDpU03bubQhX/i11M+bv80QJ+j6jLNt3+t9MT1bURSpxUJ7vd5DY1mfsuPuef07/hahKUUhv/95+jLTG2o+x6M6up6buHshyfU+Tb5r0j4/lUqpNa329/dXysav7uh6DsQJ1bRN3Pc2p5A7b0kNjG64+b5xgrCp43M5Z7Zzs31ue9hdg3huTPRO18cJSorJidFFXBNJOyXb4EM/J+5o0yvEvL34Cs1xxHW8pnrFOZccPe+2Lobogylywl3OrR51Ta8Cj8fjiden9YGorY5JMN2bpmeV110/H1fZfD/TedtmzH36nzhM11UfvMfdo7ysuIHHKhDXl7oGdvN00IX5EwT3c1RXq1Xs7u6iVCpNVUZSuEDO85KTaEv9F/XRlCYmDEMUCgUVJUbOtWkC12UjdbGNb8/7yU6nMxExS+IvF3ypj7aJuEmEL1tb6v2c6bcLk60gYZtsAOUtJIeKv0KrO/P63+QM8fYC7ouonU4H9Xodh4eHODg4sOaXNaU04Tkv6f4gYZYL6CY7OQum8abe1i4RiPCZfFpVTAKHzbbTddMjNmmMQfdFOp2eeJ7488bHKrS/S1SYRQD23XeWe4nqTudKEa35fB5BEKiULSc5DpilzThBEKg0TY888giy2Sw+9rGPzaGG5xdKc5Mkb/m8rueiyk1yT1M/wtdVAmAUzGl714QmlUeTVFEUqbelqFzqf/R6JD0P37Yy+YO8/4wrax6+GTC9wOfSHPT+2lcg99Eg9LJ8/GqdeT8nNj/P9JluP032NM5vSlp/Ko9SuNKzQNHe+Xwe7XZ74m1z3xziPjZLv2b87Xq+fhrpNTTOG4/HanKdxhBxbZTk+ZxGE5yXTnYaCYIAtVoNQRDg8PBQBPNFwQ2bTRRzdXwuI2gqixPXwdqcT1fd9HPQnUYfA5HUuXU5gHEirr6NqyzXAEn/zrej1NslqdjsKtv0PzcK3NnWc97xFaP5vhxXnfT72tap+nTMfBt9QMijF/mgin50Z5wfV1/ojP/PB5+ua2Nqg7jBXFIxyCQE+ZRL5zEYDFTaBt4+pnNyPeNxdaBBh2kiyuXQuzD1j6uEz/mZ+j59G728uOd91kG94E8qlcKVK1ewtbWV6LU7V19g60tpgExiLDmvPNKL7iUeWRIEgYp2JlGXBtw2e+CyiTZnnNJTUe5lHh3KBXP+Wjg5IPwVcp6yIk541e0zfWYa57jsM9/PdP7cDvBIX8pBXSgUUKvVEIbhhFhuajdeD2qPg4MDdDod3L17F91uVzk7ANTx+OfkJPFzpWuazWaVOE7t64ok53XSo9D0NjKR1M7p++nb66l/Tit6v+4aD5N4pV+TIHiQR5UmuihyjO4HHuGmv3HA29a1YNk055b0/Kctk8Zex8fHqt8DMBFFd1L3ybwd/nQ6jbW1NfR6PWxsbKDVaqHRaMz1GOeFTCaD3d1dlMtlp2B+EuOjae+Taeqm+226zdSf+7hjkC2mCZ1cLqdsCuDun+POO6ld0OvFP9d9ahPzEOp87Rk/nqld9O9sv037J6mnzznTfcHrR7992nUZPoZNQ7GN1eK0ExtxOgsfj1N+80KhoNK18JQocceJu6/08QMfawfB/Ulj/sYgBcvQ8xpF0UNp3nwE21n7L+EBqVQKOzs7CMMQr7322kqlXjuTgjn9nbRzMjmMScRVfTuTAzCNQbIJyDZhTz+XWR/KJGXMKsa5BhS6gXSJznGCbJz47AM50rpgwY0OzwEeV2fbMZK0PT83HZszyu8lfV8SGigi01QeF8ptecr4ucTdTz73j2sAkvR+j7tn9etJC5Dxa+4z2Ii7PknqZ+pX5vGsrwKm+3TWgSZvI9t3wmKhvrJWq2F9fX1iAs7nOsfd3/z54oNivtgWF8Mompzn0+bCKo801h1r029XvUx9CBfKaTFPEvP44p48fRaPKOeiLj//JO2mi+VxbeuCtwOPmqfzou8zmYwSNAuFgmpfXRDl9aNnl1LV1Ot1NJtNHBwcKCGUCx3Ubno6HP5DAjmfUOHX2yQiuV7JtznwPmPIWcZYtjqsOnH3Zdy+tL8+riAxjD/rg8FAOcV8IoTePODH1W2prU1Xta2pj+l0OuotGRq/0TPJt10UixiLpFL3FwWOogjlchnj8RjNZnNlr8WqQhNL5XIZURSpz6cZQ57EuDPJOD9ujEA/vB+gY9Cz43s/UTtS6hVKg8TfynWJwq5ybdvbbIuvuH4SPoLrntC/s9ktk39p+n7Wes66rY8dO+n+yVfE5z6/afxF/yfBpn3R88YDPUgo5+PcWTEdfzAYKHtPY02e0pAHSlBd9UjzadphEZwVP99GEASIokjloOe+w7I5U4K5LnqaOisf51Y3oHFCvC6E+QjjPgMAl6Nl69BMolxcXWzEia6uz03HsgkOpu1N7U6fx7UdObpcSNAHCvrxSDzRj6MbEf7DO1debx4VaMqD57rOce3oKzibrj3VmYwDRUXw9AMkINB2lGKGzlNvR92g6EIQRXKR0EGv0fMFuqi9eOSTzXjr95CtfUxtpLeF7Tml2WjTNSDDS9eeR5FQlGoccXUDzHmC9fN0fW86T9NAYtUw9RG+gzfbvUl/u/ptn/KF2bh06RI2NjZw8eJFrK2tGdNH6NcizibSZ/qAPJ1OI4qiiVdCW62WEqf1fpn6NkpjQKla9Ehjgi8EZuuLdAec+oh+v69ylXc6nYl+kiJu+ArxJI7ziGiejsLWV+kioq39TM+Fy34TXIymMqj/p/PqdrsIgkAtQkgCTbFYVOfD24rbU96XdjoddDod7O3toV6v4+joCL1eT0Wu83QTVCeeo54vjsntHJ9Y0cdOegq1uLFPkjGQaXufvieu/17V/kvvf+MEBn1fEyYbqR+DyuNR5+VyeSL/PT1znU5HTaTRfUhjAZv9mFd7m8bts0Dj0PF4jHq9jmw2q6Ln+BiVtj1tlMtlfPInfzJef/11tFotNdEoxBMEgYost61PRNutAr79Ytz+1B9wYYy+1+20rUze56RSD9Y6KRaLEzbZJf75tquvTxxXLu9bXOMrX7uS5L6wjcH5eMHXDsZ9nqRdXX25Tzm6L2Xz0UzXy+anzPK8JRFR9fEgPxeT/81/T1s3fWzGRerBYIDj42M1Ljb50LyOrvvc5jcCD/x6buO73e6EaJ7NZtUCvblcDsPhcGJMbtIWFmE/bed4Gm31tGSzWVy6dAn/H3vvlSRXsmQJqnMa7kEQABJJXj5SVd1VIvNXC+jv3sLsYL57Tf3Ta+g1jMxISw171fXqkWQAAohwFh6B8PmAnIvjJ1TN7Hp4EGSmiri4+71G1JgyU1O7uLiw77///km0/WdnMN83ky8lZhHz4vxKNHbBhcvNGXxKhe+cklKXQaoxcpf6S9J5DCn6mG0LO1552r/4xm890g3hyBMKWABTiMautC88vPWdHiVnows+MArhchoYmBCOAIIlLjHlT9QujhvGhnJ4GeJiOxzHgrEDhnQNWeAx8dJ+2SVdidDITFPnGKfTS2IiPCJhy1PSU/BUFJy7gNJLflYXUmWkDIi/wv6h2WzaeDy2o6OjShgtXc+RgoNvpsd8vJKPRW82n7yTYYzmNcxKtHpuIy3/VkVD8fL4AOgiDOTwJNeNRRizuG1enO2UZ3lOuYjaUgqRIsztAw3HpuxgMKguT4WxOkXnmJ+sViubz+d2fn5u5+fnlRKjfALt0HjkiOXMnuQ4ccAbN1xOSpG/D7oRzSP8L5Ed2+22nZyc2HA43Dt+u8JkMnnw2OoevdC4pY1G49b9KmxE3mw2tzZvUoaWh4acQW6z2VRrkcPqdTqdpHzqlVOCw0Py0k6nY8fHx3ZxcWGDwaCi779CHhqNRuWhXxq7nOE+9Oz7BOZvyjs9Ph0ZxFjOxyYsnI3gVKRlMg77bE/qfy5PSn/kZymjXYnBNypX/6f4bB28doVdy9sn3b+LDeaudpZd5b5d8mAtQvaD0wTfswGjdqS77bKutCzMI9wJxHIkOxW2Wi1br9dmZlvyJpf1OdHCzwlarZZNJpMtp4XHhp+FwdxjVMzcUhNad5N1MXoKXZ3dJc+gmzNqewwxMuZqG1NleYw/J3RHzz3GdVcDlwKPI3tz69iqwVLxSfWBKkZeuWxw9o7wQdi6vr7e8jJotVpbxhL+ZsM26osIsOLvEX/gBaPAeDy2brdrR0dH1uv1bDKZWLfbrTwi2HuSvS2AU24s2SgcGYwVd6RjL3TE8YWn13q9tuVyafP5vIpPeXl5WXmDwagO0PUbGa6j/owAadTbnMdbTxjo2tD1HgmQ3jr24uWlyuC0HKNZ3z8FphNBzhhRQitz8/a+adavcBu63a71ej374osv7De/+U0VU1fpaMTLlC6qERnKK4zk2ACEV8jFxUVlnFZeruFXer1eRUNZqUYYA+ZFiqPOIdA5vmwQ8REXi4VdXl5uxSxHWuZ57Imj4SSAj9c/0XyOvHe4XwFKi1IKNAyP8JzHcUoYb09OTqp5oOOOsnWDYrPZ2GKxsPfv39vbt2/t7Oys6i/EaQZufKqMN4axIYy4sl6oFT56q/XfRRlKyR/6O4IUX/P40qtXr+y//Jf/8ij0LFrDzWbTptNpNi/ylSqiqXS6PsHHeSMKa73f72+tzdlsVnm7qTFN553iXAKe7L3P8dJ5i1MYZh8vMz46OqrkK15Ld8HhoY0GzWazoivffvut/e1vf7PFYvGgOHyu0Gw27YsvvrDj4+NbHua7jONjGIzq1Mn8nfk6O/fwmk7pPNCb4J0f8TPGMeIlu9IN/e3hiW/WQUp1ZH2nv7lsfaZ5vDKQt5TmRPIJYB9z9q683oOU3Yj/l9gyUlB3HqXK0d/MP/mb33l6mqbR/8yHIR98+PDBut2urddrOz8/3zJOl0CqDyKeC3sEeDtOLeKEKmwmkGfZBpGjF7/C3aDT6djXX39t/X7f/uf//J+PjY6Z/cwM5gAlzHXy7gp1CG7EwFLGoBKimHsfGZx2WfAR47or8YiYBxtIUukiUMMGl8NeBxoflo0UuUti2DCiHwhlCDsSGdJLxpCN1DAWwZtyMBhYp9OpDOaHh4fW7XZtPB5vhV3xjqErcwI+3pzRkAaesVjHhz0KzT4SxJubj7dnI8bo1dWVDQYDGwwGtlwubTAYbBnMF4vF1mV43OeR8TMlAKfmi7aDy8fONPcJG6tLaMFdlVQGz7CCOjTN58zg70Kvc0rBr3A/MBgMbDqdVt7FejInGlPvOdYcb0qqR4jZpxBJfLJFPSo9AzwrmBCiEc8Q9bMhXSEyvMLzGrSLY3vjN+PHXu68Uevxu1LeV5pG6URKZmDeBx4HYyROLSEUBsYqhw/Gar1eV5umi8WiOpmkBm4eO8wDGMhhpMdzz8is7YxoaQ7qyD+70p0cb+l0OnZ6erpT2XVwMIt5TcQzAbn1XtcYpnkiQ48q+CxDgW83m0378OFDNU+xbpl+eHPGw+kp8BZep1dXV5WBFCGKNAwF59HfHjyGsZTHDhsA5+fn1ul0qnH6FXzAaR/QxzrwGGPN9ebkhVR+yAbMf3Q9R3Od+Quf0NVN9VR+D1J8NdXGUmM5f9917Dz6yrzIo4eRwVx//xwhZd/ZB3+IjO/7Ah3vnH5Zqu9y+ZwX66jb7VbffBnovvXkCD/IsuCXjUajOj3CvFNtQHfFp7SMx6LBJXAfuGFTEnagxz5F9tkbzHNMJiJS6mVUItB7aXPpPMIWGcYjQ18JgwSod6nWoYbNVFm5/vT63mtLSX8ijWec9trDQk4USxzfXogP1AMD82QysV6vZwcHB9U34q5CONJ4trzDqEoUe1FzTHN4LyHu4sXFha3X663bopFW28LekIizNR6PbTqd2uHhoR0cHFTtgDcd+lUN8zDcRwRfjeAA9DGMI2oETymQeM/egGgPBHk1XIF5XV5e2vX1tc1mM1uv13Z2dmar1ar6hnc6xyfW/ovaxDhyOxhXTgNPUG4PGGq06aBpGUc1gHl9xkqierd5tIzzfC7AbcR/QNQ/JQLL59QHP0f4+uuv7R/+4R/s9PS0ivVpZlvKpn6rQZiNW1hr7F2Oo52tVmvLi5sN0V75WD9qCIdxe7lc2uXlpa3X6y1vMjO7ZfhHeez1jM1SbPrBQA4Pc9B9eNyAz3BMReY9SiuURuWghC9HSrem2Ww2W5eU3tzcVN7cz58/r/go+LnZtoeS8g4Yu1arlS2XS3vz5o1dXFzYmzdvKj7Knj1s7IQBaDAYVHwb7xjfaGO6rsJSR0lKyYElhpGUPKfl5erfhwGlBOe6xu9cmSXGLMgLOeD5hjJgfO31ejYej6vQTcvlsqIBvFkDORtlRDJHCocS/rwv4ztOfwDPXq9nh4eHdn5+bqvVaiuEUqq/HxO0fxuNhk2nUzs4OLBGo2Gz2czevXv3q6d5Ak5PT+3w8NB6vd5jo2Jm9ejRLoZyPjmG/HrHVC50ptIG6FZm/omtHP6ptRXx8pSxNTJE4n9Kni41zHu0KgqZqfwqR78VNy/NfeszKTvSrjwzwjfFpxUntrPoWO67L1Jj5M0XbwPZyxutLf6NOkajURUyb7VaVZ7mnj0kKtvrlzp9Bb4+n89tuVxuncqHnoFTofs4nfUrpKHX69k333xj7969s7/97W+PistnbzDfFTylPKWw43lpmQ9txEHdJUpTDqcc8+Iyo7pKQRUe/kR1eoxbDYlqjAShgxGCL7qERzb/B9H2Ln5THD3DApTzVqu1deSv3W7bhw8fbDQa2fX1tR0cHFTEF4YHNrIjnxoHcFRoOBzaaDSqGA3w1s0G/Wg/peYHM8sc8/PGKTJOeGFHUAf3NQzq8B69vr6uYosNh8NKsb28vKx+8yWjUAb1kqvcek2tFx4XxtPMqlA8KkyXGC3qCEI5Ycwbt6fM2HehiXcRxPeZ71e4DfBiHI/HdnBwUN2FAMitOTVq6zfoOW9C4Vgl1n5KqPdouYZRMbOtGKW8CenhreuXDbXAjz3MgSPTEP5EvDDHE0uA86VotcdvuS03NzdV/2DDGXHq1asbdXlKKfod4SIuLi6qjWU2anD/4IJqfIP/eV5AOg9URlAcvf7YFSKjeSpNalxTRnhNlyuL06XqU7wjObmuclqSPjJi5J7VwYNxgcyBZ1CSObyJOkyo0aWuTLFP8MYThoD1er11GW6v17PNZrNF8zwDXYnsf18QjTfowHg8tmfPntlqtfrVYJ6A4XBo0+n0we8UyMG+DYCYF+w4BB6TM5RzGRzmDbrgXfEs0bMAET0vye+VFxk/8d/TDfV/6XcJlKZN9XnK7lEHcnXcF3h6aMTLWV6N1own55bg4P1P4QU8otNJWr9Xhj5DmbjjaDgc3nKEy423l2YXmQTtgnMh6/ebzWZLnymNEODV9bnDfcs07XbbptNpFUv+MeGzN5jnjF6cDuAJgSmCEQnrHmOrK1h6SmtUZp2JmVKevLq9+jlPru6U4cqLM430epyejcTc7lSoC+TxdvtarZYNBoNKUDw6OrKjoyObTqeVh7Yq2F4oFcYp1yfcThzfQ/mHh4dmZluGF9SF+Fkw/vIOJphIu9220WhkvV7PRqNRJRiqcUiNDOhzVjL4eSRIQVnkvlZDsTcXlLF7YwfFkz29dJ1y6AVc2NZoNOz58+dVOozTcrm01Wpl7969s/l8bm/evLHlcmnv37+vjvfDgA48dWMhtd71P/rCi68Pr3jtT+2fSBGMGL5HL1gZ4PQlxo+nBB6+URs0flzKy3afRplfoRz6/b4dHR3ZycmJPXv2rHoeCdU6hkxDeNMSiiyMPShztVpV3uBMt6P6PBoGo+1yubRms2lXV1fW7/ermKV6cgdlqbzAdTMvgdENuMJIxZ7l/K2btKiD60b7S5Qnrx+idB6fQ//w5almZtPp1EajkZ2cnFRH/rls9rrHWPOpJ5S7Wq3sp59+svl8bq9fv946lsvzALwQGzHgC+pRjnmQarv+9tpeYgwokfW8uqLyU/wB3x6f2IVu1TFYqVElkl85TYRTpNTm8FGl2+uLuv3AcirkLTgmYBMOJwKXy2XlpcoKdp24prsYMu4KHP7p+vrahsNhdUEs5M/IgPOU4fj42P7hH/7BZrOZvX379rHRebJwcnJir169epLjWYcG5cqATjkcDis+wCehcvQcxnY4JIHfIP0unuUpfpPj3YpnVFYk1+T0fH7n0WvtL6W9KXgIOTqyudSlXx7/hO0hqjNnZ9FyvXypMriPPXkwwlvL2teaj/i9dzop4u/aB+z02Gg0qnuI+v2+zWaz6mQ589s6oHlK5+TNzU2lC5jZLR0AYVvg/FKn7Lqwq2z3uUOv17Ovvvpq65TBY8FnazCvawApEaRVCE9N0BzDK53cHo4pI2RJeWokzdWda2ud+r3yFSf1FlQ8tE9U8WUiy4YJDbOCsCoHBwfW7/dtPB5X8bHhYY6yVdFhRZ4ZVl1mHDEMjcW+2WwqA1Cz2bR+v2/D4XBr44CNBWxw8DwpU0eE2YDh4crj5immOcgJZygzWkP8DgwUv/FfDf5mVhnUDw8PK0H36urK5vP51mVe+Ia3GHt7svKt/eb1leJoth1n2VPqPePMXYy13rio4U7ffU6MN2oH3jF4cziCaG3+CvuB0WhkX3zxhY3H42Q6j/5jjSuvgEc5PJfZ+AOjlme4ioyKTC/hfYm8HA8bCrN3yijin+yFDWUd4UaAK/DhdkZKkcdvUvQpxatyBgOvHg4zttlsqqPuuCsDfBVj49FElMUb4/jMZjN7/fq1/ff//t/t4uLC5vP5reO4HNedPcu1zrvwLO2XTqdj//zP/2wHBwdh/kgWKKUxOX5TUldJvsgQugv98ww1JcaDqAzNk+q7lDy2a336jA0l2BSHswJfAIb5CceFSAYrxfE+AfWD9uA0HGgb1qbnbf6YkJufCP90cHBgo9Foa1x+Bav0Ht7IfEiI9McS+awOvuAN0KOwqcWX22r9XA9kDA7vxSFYGC8PPB1G9alce/l/1AeRg0hJXTmaVEJbnwJNYPB01V3A4zkRb1Z51cw3GqfqKMEnZcdKhfDJrZu7jKGuG7PtjQV+5/32yvF0apwaNLPqtCHkz5K2lcjKXh5PloduAQdC6CEYBz5xuWtos5Qc+NTWHMBbMxGuu/KeRuPjJsrJyUl1n9FjwGdpMI8UyRSDjRYmCAsb4CIvkZxyoQvEE/JzilWqDaXKh8e0S8tWpVP7zeuDVLu8ZxBAEPOZPc3YWMCKtXoMet7eMGycnp7aeDy2b775xobDoR0fH1fH6pEHAhRfGsltZAbotZ2NeOzVFhFoPb7L8w2MAW3o9/vurja3ncMG5Iwj3lh7DFXnLrdLPf65HM6TEhgZVNnm31yuts/DEd8cAoLfIW7wxcWFLZdLe/36tc3n8yre5Xw+t9VqZWZ2S6iOaIA3troBhPmtilvUf9pvqb7VPJoOHx437t+nDJGw4PXNXQRGQGod/Aq7w2Qysd/97nfVqRqzciWYjaI8nzm0FmKD8+aXZyiPeDLTFuYv19fXVX2IXQqPlyhMCtcD2s0GcxjL5/N5RW+ur6+3LpVWL3pP6fVot8efPdrCoOsoR6PRL2gLaO10Oq3iCMNIoeOofc0nt8w+KSPv3r2zP/3pT/Zf/+t/tYuLixD3h4bxeGy///3vbTKZFPWp2bYcUUKLPNq+q9JbR0n08tR9r0YDj1cr1FVoo3d1xiOXPkoL+QybZ2Yflferqyt7//791n0wfG+B2W358anwFoT9M7NKZgLukI3N0orvvtpSyhNSgHCEh4eHdnh4aG/evPnVYE4wmUzs5OTEBoPBo+EQydIl+UrSNhqf7gAZDAaVd+j19fXWaSgti//DIWkwGNhkMqn4sqdnefVzOfxcaaSC6oepOricUh0LoLQt0h313V3W5i5QKpOrTo60zHd3oVNeuSk8dENln3TeGxPW73JzoA7vS9Xtle3VpTK4Jyt75aieD74LRwwAbB+RPqz4l8zdlM4PWK1WlQygzjywyYDe7DIHHnqN1YVo7O5bpkG/DAYDe/nypb1+/fpXg3kd0IWYMgwCcspLRHhShkgt/y4TRw1aJWVpnVF7NX2OCaYEG8/4wHV5Ri02aLIhU5VKNZ6zkMIf5On3+9br9Ww6ndpgMLCTk5Pq+DyO0sKDhj0P1UDi9TWHgOE2eW2LhIxU36aYoCcQMU4wDHkKQWo+pIQOroeNVFw3p9c6UkJoKlagJ7h5yrdXLr/njZVoXvIxL8SNZ0PW5eVldeQaCjEuyvLinwP4mBhvhGiYH724JGfsAO5eqAoPtN+einJeCh5t9uiN/s6ljaDESPS59eFTgMFgYKenp/bFF1/YdDrdEnZTfe4ZjvGbL3CEJzh7jqmQWmJgQ3r2SMcahqEcHtRe7HLlsbrWYciHkXw2m1X3K2Bdazu9+a91KJ/12lcyb3NpmLYiZBj47mAwqLw5Ea8cnjceDeOwNNw/uMj58vLS3rx5Y+/fv3+Sa07lMw90THbhxfuESEbZpQyUo6DtzfGdlAyeg6gdKb6Rk+mjMjW9niLTO1UgL6xWqyotZBENlVZnLHKyegpyeTabzZbXHDxzEZsVG5JqBInWwl2NU/uAly9fWqvVsn/5l3+xt2/f2nq9fpL05KEBmyK4fPlzAJVlU/MEvBgG88vLy4pn6WlajzY0Go1q7o9Go2oj2yytvyh9ib65bk/H92inJ++qfpgClQUi3dP77ZWV0jv2vcY8WwY/93Rkr/8ivCN+wM+4XRFf82wEufbsAzybgdnteZertzRdCo+6kOK5+hz/m82mDYfD6iRhiae5JzvXBS0foV9xuhLjwBtr2KDjk/+71HUXuO81mXq2L9DxarfbNh6P7fz8/N7qzMHnwz0FvEWgi99jPpGS6THRnFKqz+osSE2fIuAeg1U8IwLkMZoc8y/FXYVnxV2ZG4idZwBEG6ILWXhMQZygtH/55Zd2eHhor169suFwWBloYEyB0ATloEQJzM2XqM1eWVEfalmekKAMkY0PGhs+BVyfClxajxrMS5RPxUG90xlXT4BTD3Yd+9Q6R9ksGHNZaA88IOElBuYG7/PFYmGvX7+uvuEFimNW0TqDwZyVEa7Xy6cCTwR4xyF4IiGcx8c7EcB99jmBGisAPFdKhCJtO8/RX2F/0O/37csvv7TT09MqjEWJwgu6zqFPOAxVo9GoaDiO3PMRSIaSMcW80fyoD8ZyvtzHU1K4DWafDMwIw7JcLm2xWNhisag84rnNOa9yD+eo7qjtdZUF5ckwcOPC7PF4bMfHx1sbCp5XndkngwM8g1AeLrp++/atLRYLe//+vc1msye7HlnmiXAsnXe75EvhtUvdJXPC49de/iiNl/Yu/GifimDKAGS2TbP4FJnZR4M5vuHtxiHelB+x3FkyXndtoycjeM+xHlutlnU6HZtMJlUf8+Xzpf1+H4p6HXj27JmNx2P761//WoXee6r05CEBXtOPddlnyhi2iyFLy8Y3ZAfofuC1ufwI/QDexvwvR9NU9o70Ry5Py03p92a3Q3h6NIrL4u9UeDr9v+uY7Lru684Lj4+gDNbRuH8ieYn7I9WP0X8uJ4WD5r3rfNfyVG/2dPs6eJTYRzSdl76OXOLl535kJxasaeazURt0LnhtqiPL3dzcVJvI7AgE3cXMqnBtmA/3BTke/5i8eJexV9D2tFotGw6Hlez1GPBZGcw9I15KEa8jmO97gOsIxUroPEOOMuEcUUvVm1K2IzxT9UdlwWCIo+zsQQdjpcYJ946mNRqNyoBxeHhoBwcHdnx8bJPJxA4ODqqY5Timv1wutwwhaiT3vKWVAaUMpMycoj7IMdsUs4rGVwWflMHPm4sANkbxN3v+R+WnGDDjyuVwLG+vnV4/R7HjvW9vPBhHGFwvLy+t0WhsGawAg8GgOp2AOYRLvlarlZ2dndlyubTz83O7vLysLuxjPC8vL6vLgtgYBiG+1WpVebgvS9aT0grta+3baCyeOqSEsBSdS9GwaF5ECsSvsBs0Go3qxM9XX31lBwcHtxQTFajZu1rDk7Byzx5jUISZTtfBER+NFQ4PSxiB4TXtrS9vEwe8BhePvn//3haLRRUKCm0w8y9vUmVaPVM92quKks71aI5HCha3D5sTuJ1e74hA/HCuA+1i3ot7JHCSZ71eVxsJOMXDd0g8RfD4VMT77rsNpQqfl8dTtOvWV7fuXaAunU4pw3UMFDn9As81rv54PK7CgvDF7bgUjMMQRXKlh8eukDMCKM1hXHu9nh0fH1fPZ7OZvXv3zlX+92H82SdA13jx4oWZmf3pT3+qwu39EgEnKg8ODmwymdybh3mJIS5noKubj/OrRzh4VwrAA0ejkXU6HRuPx5XMkZPH+Vt1Y69tKV1G8fF0thIaHPGoFP1U/SNXT24Mc+k8SMktXLYnO6J9/9f/9X/Z//gf/yOJF+f10pXMs6gsj298+eWX9s///M/Zcvehn6EfWKbTOao4p/Dxylee4aXx3kd6aJ02Q95uNBo2Ho8rYzUuqi5pwy71ch7uV5wqQ6hfbJRDb4HuoDrKQ8i3DylDP5TMa2bVhj4+0B8eEj4rgzmDpwx6TCvFnCIoYR67gEcYU3h5xrKonFTZkZET3+rxXWfyR4zGMxhyHhASeJt5DJcNG7gE8/j42I6Pj+2LL76oLvlhoV8N8Eq89di71y+MowclcZNVCLkLQfFwZIFBceA8kYAHwq4ejma3vam03KjPkEfbrUIZ8qEczzsUHtX4j7zqTa7CgTJ2AHuRwmOK5ygULXiXwIADz9Ber2ez2cwajYbN5/OqXA4FwZ7m3N9sHFNvVk8w1r6O5mIk6JYoL58TpPpIaVjKUFAiEP8c+uuxAF4gw+HwVigWAK9XrAu9yJMN5qDlelqIjU9m9WisKqaMCzzccbTbo13cFqU37Fm+Wq1stVpVxiiOsa54eMB8Ujd5c/y/dB5HyhF7g19fX1de97gMDcZypbvaF4h5Di/79+/fVxuO8DDnSxOf8vqry8NLeGZO4Sg1UnBZdctI9XmK19eFlMHhIZW8CIcIPCVfZT1cCgxa5jlrsJzw1IC95CFvo10fPnyojkHnNijvskb2AZBpDw4ObLVaPZpH9VOBdrttw+Gw8p5+CNh1TO8if4GHo5zogk/9j01ybJCz/hLNZdWlUjwc5bCskjO85srjcvl36lQ2fytNvw+ee9dyczxJ2/D69Wv7l3/5l53ruw/YbDb2z//8z8k0KZuOpkGZ+kzrjJ578/8uENkeIh4Z2bNyPEPlKBijF4uFbTabewm7FfU58/D1er3lZIiTWtBpzD7ppffB8x9TZoogsj9F6VJpFKAT4gLrq6urXw3mdaBkwbHRrhQ8Q2EJRISCv71yvd8evthlKyGsEW5e+tQkV4NAyQKAsYEN5dw32P1Xowen6/f71u127cWLFzYej+3LL7+0wWBg0+m0KtvMqqP5KiSpwTICNg57R+JhvPWEGP3PxhA2jKIMz/DpCUhsvI4MGtEzTzjyDENcp9YRGR9LlOfSI0hclic0QJjlucdt42P+SB8pqGpU5TZwuAEz26qz0diOk4/YZMvl0pbLpZ2dndlsNrO3b9/aarWyxWJRpWFPc75VG7FPOfRQqm9SUCJ4ePPhKTJaBm+dRfSylAek1hHoWnSiIlf+r/ARut2uff311/bixQsbDodbm15m25t1vEnFl0ADsCb5aDWv+13GI0UHEZIAJ5X0NBR/lHZiHSOOMU6h4D4ENgojn9aP9mjoBtTHfAjzVOWUUkWb+wN5UTc85BGKqtH46NHT7Xbt6OjIer2eHRwcVMZBXZfgwbgf4s2bN1WIK8R41nGEvDAajWy5XN6LAn9XiOacR09zPNujKSn5MFVGqk7vneKrvNfjKSon7EoLd81fh2d5MqonE6YMC6XAaxPru91u22g0sn6/X3mZz2az6uJxbH7xWtmVlt2FJ0XzEWHovvvuu8pBZTQa2dHRUSX3qNxyFzzua60/f/7cBoOB/fnPf65CeP0SefjBwYF98803NplM7rWeu8zHSL4r0TvB88BDUuETWQ+Ac0yv16vuugIvj+pAXn3mAdefKrOuEVPLVB2H03CZpbq7h2eq7ChPKUQ8zdNXtO590aD7gmiM+T1/p2w0KfmAZUhPDvRCt2KuR/hF9aqOrrhE/IxxK9mUisqAs1ur1bLpdFrZknY1nmpbPNC+5dOlfPqy2+1Wsj7k436/v+Xoo1EC6sBT1N0fA5/pdGrffvut/du//duDX/752RjM9yVYlSgrdynbM1CV5mFQBqfGnceGVD+CKOLDRgA2lHuethB8cMT15OTEDg4O7Pnz55X3Iggnx0P1DA0po7PWq8YITRNd+sb1KUNiQouPMi9lqtx3Ct6cUqOOzic2roDR1DWsRHhE73IGgxLQTQpmUrk1lhJUFRdP2OTx5s2fzWZjo9Go8pAEQzQzWywW1mw2K8/S1HgoneA+uw8GFAnQTxEegrZFbX/K/fLUAWtlMplsKaD8Hh8Nu6IXXoJOXl9fVwLoXYxLWr9Hx3nDVGlPTjEGTwO+MJLr/QdcH39zuyJFQtPcZZ14tAZtgPJxfX1dpe12u9UJL3iZ63gxjgjjslwu7eLiwubzuV1cXFQbHzoXoFzA0+8pyDf3Afclu+UU8tLndeq7q5E0xZP20UdeHZ7xX9/vCmyo4NMxjUZjS5FnOnZXg88u45CTM2D4Xy6X1mw2KzrQ6XTs6uqqOmb+1Hllv9+3m5sbGwwG1cbFU8b3vgChRnBvz33CXeZEiaE4Muwxz8a6SuEB2QNhPrFBjrnPdCiSYVIGTI+He7SnxCgZla+G8oee24rjPngClxPpuACPf3xOEM3l+xzHaD6m8Ip4Zom+ymlSczwnD0Q4wyGt0+nYZrOpeNUufehtAmh7da1BZgZfhK2LPc1hf0ndZ/ZzhlxbS+yjCt1u1w4ODh4llvlnYzBnIY2NkZrG7Pak504vnaw5Y5z3Tp+lFocXuqJOuSUCRpQ/InbejmOpkRIGE57E6u3LIVMUz16vZ/1+3169elVd4DkajWw0Gm15Z8/n8y2hSPstMnTocw1Dgnf6PzXfFLzjn2pM0KOCjBPapIKfHueJmI8339nQHAl7XIa2WeuLhEluo4ejlx+gnr2MpwqGAC/WIPpMDVEcNsUzTHl4c/gWxanVatnBwYGNRqNqfD58+FBdXvf999/bfD63n376qTKg8aUgZp8uDeN5ASNhrt9SNAlponXBc+tzAR6jFH1K0dCcYBcJbVr+L0nYKYVGo1Gd/vnNb35jo9HIpTlQTHGkEkegYVyCFybfMF9qKC8ZF13zeqrIC9cFYy42zjhsFfCDV+Z8Pt8ymPNmLj5KUz0hXPmU4qThWbw+UAVU03I/wNgPr3D0+cHBQbVp3e/3qxiv3qYreBU2DUADv//++6pPtA2DwcC63W4VQxbxdp+i8sv0xywtT9WVzTwoUag9OcDDI6W4an5vQ9/D1yvHW6e5+vR/VO4ucyKScz3Iyd9eOu8dPODMrLoPAReVnZ+fVxtJSMc8vw5v2Rcf8sbg5ubG5vO5XV5eVuHocAy60+lU9xBEdw48BR7Z7/et1WrZV199ZYPBwObz+Wcl8+wLcO9T6pRtXUjRuX3Q7jq6A991grUUjTN7lmM+41RbdDrZ0ykjnssyYkr+jtrnPU95kmv9EUS0rW7eCM998WtP7+PyIxn9KYdyUwepFKi+wc/1mb5TKOGZ3j083txnm4Snf+m81FCxOpZchheql/HnfJ4e2G637ejoyNbrtZ2dnVXy5z4gkqP4HegGdAN8Y4O23+9bp9Ox4XBY6QhwpPHqKsHn5wAl6zVKg+gTDxVijOGzMZjXMYDUnViRAHBXIswLXgkY/1fisA+4S3lef6QUJzCtiDnAQMchMxqNT/Fi4QUxGo3s2bNnNp1ObTKZVAr1ZrNxj+RHSqxHjNXQwAZzbacyCu0LJeKc1+sf5EkZ3UoYXG7OK2Pz3nt13YeSGuGYS5Oq33um/71QCmDgHNLIGztdkxGj111jzNHr6+vqWNZgMKiOAi8Wi60QMl7/M04lBsK6oO16ipBTlFJwF35wX4rfLwUajY8G89FoVMW3xnPmDVBu2fgMAw2MtuyVnQu/siuN8vCPjHfcBuYLZttGcw93xd8rL2qP0nLldTlQ3qX5QYvYM549yxGPHiGpsMmh3vfK166urrbCVqm3Os8DlIswOCljwucA+5bhUvXwd/Qev730KXnOy6uQkmdTON23sS2qO0VD9lUWl8cyKOZ2r9ezRqNR3QmAtCyf3AW3EigtE8ZHXKiGDX7Qbw1/x/BQ6yAF0C8ODg5svV5bu92+dYfEzxmwMQ26/TmDN5/UsMe6TZSW9U2ERtSwcZzHMw7mIJr3UVkltCSlM6Zgn+twHzQ0sg2U2HY8XvPU5YUcjsorUvooP+M8/DuSC1JzzePjpRDpsFp+STkqm+aA5wD4EU4nwkGuThty6zA1huCFuPST+TlsDpABsEGHNe2Fy3ls3rkPSLXhLmuWaTlOviLczUPAkzeYKxHQSaYEySPIUTkKqthGZWoZKQOkMnPPUKfPcoZFVapZIeY07Lmba6/XLn3H9aBuGD9wORB7Q+Po9nK5rMKn8LvxeGwnJyf21Vdf2bNnz+z4+LgS8BCbajabbeGpRnCv3zn8iB61v8sY8zs1QOt48H8dE+5D9i7y2gP8N5v0RTa8FjwGygaSKCY7cIpimPMzb15rnVHf5voYz9lbK7cmov7bbDaVQVuN1sy0kI89OnQsuQ8vLy+r93xh6Hg8ttPT08rz9OLiwn788Ud7+/atvX792pbL5dYlJSi/1+vZZrOxTqdT1cHryVubXpt5XkZj4AknKQFM+7OEyaeEtlwbojL59EeJgsR0ysMpgmhd/Ao+tNtt+/LLL+3Zs2eVtzAbyVVJhWCL+Y3Y/1gXpXHK6wheEY9mOsCgRn4NMeaFYIFxGJ7yMNCAT2psdDPbokme4qA4K72v02ZuL4z7uHiTT38dHBzYYDCw58+f23A4tIODgy3PcpSDb6ZVZ2dntlgs7M2bN5WXDW8wwttmMBhU3jeMEzbGnxqU9DfS5fgdg0e7PJmO54bKOSV4R3Kv0n+E3EjJtDnlkn9r+Z485eHBz71ndaGk73ctK2oL1jXoxtHRkX348MG63a6t12s7Pz+v3nPYqYc06nqyPgCnfkDrsG7hyDKbzaqTNE9pzfJcfvXqlQ2HQ/vXf/1XazQatlgsHhm7h4HhcGivXr2y4+PjvZddh+/eV53q8OQ5ZJl9mt840YT7BVQn4HrwYfqq9E9lYU9+KJE7GU/1JtffXj36LJLZFXfvXQ5HLSPiKbmyInoZ/Y942GPMw10gZRNgKOGrkV5VAjpXS/kY0ka2BZZHOB9k2tRGsMq8LPfk5j3Kb7Va1YmixWKxFa7Xy+v1WU6XTemYZlbd+3NwcGDdbtdWq1V1UqvR+OhQhHt6oCNAb/DsH0+Jn6agLg3Y55o9OTmxzWZjf/nLX2w2m+2t3BQ8eYO5mW/M0d/8rGTipd55ykJqQuSEfDXwaFotp+5iKWlHnbIj4UDf8xEUNnKAiLIH3mazqYwG8EQ8Pj62w8PDKk4531Je4mHI+PAHir3GkfL6IMe8orHPzQkeb+3PlKCmnoxe+6M46N6xS/X65z5NxWXX33WfRX2WghQuuSOlUdmeocETprkeNvJwOu8/j6WGd+j1enZzc2NHR0eVsWg2m1XelzBaqWEh2tBQgcczRkRjEa1/T6iP6Fm0buqsJwWvnVE6r6ycIFOitKQgJ7T90gHzejKZbBlW2ZschnLwCgiyMMbA6KIbWQopZaMEUjSJ160q4x79Zh7FfE4v82UPU+ZDGqKF75pQnD15wmtDqs2Ks2fcbzablUEbhoVerxd6w282n4zl2Ai8uLioPMt5s6/b7VZxynu9XrWpon36ua6x1NwsUfQjRTSirarARhClyxkdcnJALg/+e/NX06aMOJGyuo95squ87ZXjyQjKlyGTYk1hk43zYh3yBtpDQIpv830SLFvjXpdIns3x5ocAeKEdHBzYzc2NLZfLz5bG1IFOp2PT6dQGg8Gd+eZjQYS36kpmtsVzNS026T2Pe4++Ks0s0W8i+ubRUY/P8TPl2VGdXG6dOV13Pux7vaT0lUhG24UfPQVg3D17DMDTsTSdx7NL+XqKx3r18/8c3c7JECUyRsnzlE7QaDSqizdxkktD3KbK3gW4bJatEcN8s/kUDhZ8HvYF8E8z2zr5lLM7fe5Qh/bk0g6HQzs8PLQffvhhX+hl4ckbzD2v4Iih5JhU9I7fR5AiXLxoUgapyPDGDJoXegqXEiUkh0eJcQmEQN/BWw4esSz4wzgC7zXgOhgMbDwe2x/+8Ac7Ojqyr776qvI8hNIOIwqM7N6Ya5s4fhQEJLPb8cgVuHwum5U8T3H1xkPLjf5zbF6AemOiPdwXbJjhY/NqnFLCi6O0bChh5U3D0uTWTm7N8FrgZ1w+G5i1fC1XhdjIoyM1r7mfNb9uKKhQ6334vZndikcGYb7dbtt4PLbJZLIV5/z8/Nz+/d//3d6/f2/v37+v5roa625ubipjG+phby4PF6UhOaFbx5T7gOlQJOxFtEPr8bzSU2tbccFvXpuMQ2qt3kVI8mj6r/AJer2ejcdj+/LLL206nVb0i+PMsaEcYYrg3VwnTvm+hF1e+yjX84aHoZ/ntBduBRtfetGn2aejg0yfN5uNrVarrTbppUD8URpY2ifKdzabTWUgx4YdQi40Gg3r9/s2GAzs9PTUJpOJTSaTygNc17Ua3l+/fm0XFxf29u3banyRD0b4fr9f3UnCnvq5jZKnCClFMqJBHu3z/qdkRS9tTv4oUbDv2u9Mf7nsEqU4kucjpR75czh7coT+9tIr3rsqr6pQo8zxeGw3NzfW6XRstVrZu3fv7Pr6+paM8xBG8xKayvL9er22g4ODKq45nACQzqxsA/0hADRts9nYl19+ab1ez96+ffvZ0Ji7wGAwsK+++upJx3cuAW8tst6DNMxH8MzsU2iayWRShRgDH/cA5eOby+LfXj3Ir+Xl2ufpFjma7uHtlZ3K7+m+JbDrfErxAw8HdljI1fnU5zj3s4cr23Qiu0SK5+fq1d9crtm2rhfhzfiz/h7Vk+P9Oj8j3TCax9pf7Xbb+v2+NZtNu7i42NKX68wPLlPr1Pf8jRNZNzc3VbhB3Me0Wq2q2Obgnbi7CXayyLbx1KEuvnXGI9L1zcyOjo7s8PDQ/v3f/93Ozs5q4bArPHmDeUpxMIuF2bqDWIdxaJ2lAmIJrso4ozJzgnREKEtwTRFoKLsw5LHxFsC7/fA+7PV69uLFCxuNRvby5UsbDAaV0qyGYTWAebjwhz3Jo3xe3/GYs1JzH0qKEn6uA+/W67WtVqvKW4+PvDabzSrcAZgC+v/y8tIuLy+r8AAIZdJqtWw6nVYXq5ltX5aJcVIBMfI8LxUGU0ozzy1vnjED0vzRmJQKfmzs4XwpoUyFcO+j75AP85k3cEajUWU4Ozo6sp9++slWq1VlOMeGhrdRqMb9iDayoOHhyGk9WhPRn7rrIkVrIkHMq9crT9N5478vITqnjPxSodFo2GQysaOjIzs4OKg+HHYFNGqz2biboqWniO6zDRp+xQvDAgCuHJYF3+w1jhMmekkm6DnzLaa9qvgDxxLw5AiUBfwgwMMAxl45BwcHNhwObTweVzwmMhag/YvFwhaLhZ2fn9tsNqsUBr7fodPpVMY1Vi48Q/lTVnw9nhWl8WSn0m8FpXOl+RgnryzltRHsujZT7dE+4jzKr7RP8U5xT/FGrz0l8gunT/GoSP5IyfvdbtfMPhrQIfthA4rliPuQRxWX3BzCmsWpFDOrHGZwWoRDzaXK3Fd7Smlkq9Wyo6OjrTtm2GHl5wSI2z4ej7fkeK+/nzKtNYt1N21XNJdwmgMnpXAigoHXdKmB1pt3dfsyks+9OhT2JY8+pgybq/upz81S0LlUMnZ6ypDneglN1RPP/D6nU0XpNE8dGu7hr/2S0+3BfxQHzsvhD3u9ng2Hwy2nzQinOvgzaD+wrgP9h+1kwI91fKRpNptVGs8p7qlC6Trel17uraXJZLJlQ7lP+GwM5p5wnFv8ufK8/2xsUuAdZ8+o5xGAOgJphH9UhqfAeZ6cWo6WUaqk8OLudrvV7hj+Iz+MtzgC99VXX9nR0ZH94Q9/qGKXIg40e+QxkU+FC+FQMGx0KJkPXlu9tJGw5vUp8ur84PTYQcQ7jktuZtVx0cViYd99910V8xqeiN1u137zm9/YZDKxr776qip/vV7bfD63H374wc7Ozuz8/NzW67V1Oh3rdrv2zTff2GQysa+//rpSbqD4wDijIQjQ1uiyoEjZjSASbtm4hHS8/jymmBqTHJNnA5KZbbU5Emy8+GuelymPJf/n49XNZtMODg7s6OjITk5O7Orqyv7yl7/Y+/fv7f/5f/4fWywW1Xirwc5bDzC8eeFqdI4rrl47on7WvuE+KaXBXt+qwlDHAFRq9FC+sSvjLhHufmnQaDTs2bNndnp6akdHRzaZTOzw8LCar3yZJGL2qaH8MUCVZGwAwwscv6NLLvmkj16YyZ7lUNJxvwfSgi6Y2dbGAq8rL+wWviOFXmnrZrOp+A4M5fi+vr62drtdnfo6Ojqy6XRq4/G4Cp+iNJjrgdH9/fv39vbtWzs7O7PlclnhiIs8Dw4Oqk1e7r+nFvc4BylaoWOknlc6ZqVGGaWNUVn8nVNmS2hnXWUtktOisj38dI3hu0QOyCn4nE/pOMscObyj+rUdKTzNPsk9iOHf7XZtPp+7OkNKL8hBHaNAKg3KAe1erVb24cMHOzg4sHa7fetkTakR4i7rv07eVqtlL168sEajYcPhsAqJ93OETqdjL168sMPDw8dGZW+gNJBPfan8yoCYwTg55RndAB5tVZqQo8leuV47PJmcoaSsOmvbK9Ojd169Wk9OL87RkUi/0Do8/ujxhzoy/ENDbm5E4x7pVDmZAQD5CqfLtXz9X2L7UNAxSMk0Xru8ftH16ck5XpgVzg/ZEx7ckFWZRpS0L9UO5c/8HPL9cDisdADeBIfd5erqausUrplVsjnThpycX9KOpyBn73ud8rx49uyZtdvtB+HrT9ZgXqoAIG3dybULsU0psRHuCuq15aXLMUOPgEbEQPuO/3uMMyJ6MJTDiHp1dWVmn46S87F6CCmnp6d2cHBgL1++tOFwWHnWIo4ge9KgXzz8ISQhHZ6x91/EZEoUoRxz9vo5Ksv7jX5qtVpVP3FMK3iJ//DDD/a3v/3Nzs/PbT6fVwQU8S7fvn1rNzc39uWXX1blXlxc2F//+ld7+/atXVxcVAYSGKn+8pe/2Gg0spubG5tMJvby5cutecybD+hb9tj3lFdlklG/RX0Rpd2FsCvDihRVZUJoH397xgRvvfKc43K1vewdxunYWHR8fGzj8dg6nY7N53P7/vvvbblc2vv376tx5FMAjJvWl+rTKDYyG811E0DL8+rRMfBwSj0vEQJVQClJq+nrCEula/yXDJ1Ox3q9nn3xxRf2xRdf2MnJSSWkfvjwwebz+VaYksc0lEc8hXkLh8PyvMwBWDNqAIdXNV9AxJvIfHoEBmk9lRXhizJQt+LDZTB+HB8ent8I8zSZTKzf79tkMqlilnNs8WiMsFEAr/J3795Vx1/NrAo/g5M0/X7fpYE5Q8FThZTsp7SM03jPS9vP5aTkHa8OfefJ09F88+hnVDe/S8lckbwQPWs0tkOUaBrFMceHIv4Q4VCHb2j+HB/BBnur1apOXM7nc1utVlthjXTdlMI+6KzXbuC1Wq227qgAzYGn+X3y0TrjgdM+o9HInj9/bu/evfvZGsxbrVYV/orBm4+7zu37hkgnVZ0j4iNw4ELoA978ZVD6zGWn6vDSpdqi3xHeUfsVH/7W36WQs5WU6MMe3U3RvRzPyfE5ry+jsp4CRPh6kJtPLEOl0qEe5hcl/VOXb3ppvPK88YvqLUkL2TQ1/zebTWWsHgwGZmYVP02VXwopWxMc5C4vLysdAPYbdhThyAqQufk0KodBqxuqxdPZS8Zsn3Dfa7J0Xu8bnqzBnMFjdDkFIfcc/1OCccSkUmn0XcRoS5UKJnp1FJMU000xXyZKDLyYzT5e2NZoNKoYpyzcj0YjOzk5sd/97nd2cnJik8mkimkOJV5xjOrFO8/bT0NUcNu9vuC0kdKYUqByxCY1PuwJr/HLsYnw448/2v/7//6/lYGJveg3m429e/eu2jhAubPZzP72t79Vl61pmj/rvwABAABJREFUH83n80oZu7q6sufPn2/1AfetGsy1XWxQ1Xq8/isl0iXvU2WVCJHMeLjtGo4mEuQ8oVzrVkbFQg4rvtfX11V/Hx4eWqPRsMPDQ5vNZtZqtezs7Mzm83l1izanV1xLBWsY6DzawvGIU0KZ99xrfwRR2mhsS5h7am7cl3DwUELHUwZ4Db948cK++OILOzw8rO6iuLq62jKY69oze5g+TCllAA3Hoqc6vOPfajAHTQTdxMYB+gPGasQpRt/ByMRrL1JkU4o202cYreDxCaEcRix4fh8eHtpoNLJnz55tebnk+hG4zufz6j4GeMeibd1u18bjcbUBsdl88vJh3ufxy6cMkRGH33EaL8Znqo05GurRe83P3yX0WA0dStuhvOUgZwzxIJcuZ4SJ3pfOq5wCn8vvlVHK19CvLH9hgw0yYrTmH0vpRb0sn3Y6HRuPx9Vzvsg82hx96HXeaHzcpBwOh/bs2TP78OGDff/99w+Kw0NBs9m04XBYzSWGhzaa7AKejMi0VumTepgjDUKx6IatJ3t6H8VFy1d9ksGjR1zGXZ0GSvPm5PcUbYvypnBK2TO8uqNyo7HmcfTqf4rAeOO/gic76PsUD/P6tM4c4/wlvF7r1/+w43ihZXI8Vw3ika6Yqh/lwGHDzCrHkdI+SfH1VHp8X15eVic4YfsC3zT7JEfjVBbSQt9gw7qWX1cmiZ7tG0rlvs8ZnqTBvHSB1FUQcsqIQspwVNdI4zFr/FeFHHUqU1Z8Uosg1Yf6XPuUiSZffAbF18yqXfvr62trtVo2Ho/t8PDQnj9/bicnJ3Z4eFjFLYWyrkc2PaUTvxH7SUOuaF+V9EHUf57hL1IgPaVFBSp+zzHGeTcRaWDARD/CQIq8+EaaTqdjJycn9uzZM5tOp3Z9fV2FX9lsPsWiZYaBNlxfX9ubN2+s2WzamzdvbDAY2HA4rPrTM6ZyH+LTbDa3PEV17mC8zD55V6fmNxudtS8jg0RqvNWDXMvE3E0x8qielNDn9YPOBxXsYTzCxlOj8dHQ9rvf/c7m87k9e/bM3r59az/++KPNZjNbLpcV/lp/Cd1D+JZICcE6a7fb1fjyJliuHn1XJ+0uQkw0V0t5QZ1666b9JcDLly/t+fPn9uLFC5tOpzafz83MqnBcl5eXIY1+qL7UuaAbTbwBxbSWP0jreW9j3fR6vSpeOZ6B3uADL1IYkRHPG3wBBnO9x4PbgvpheOd3oC/s5clht9Cek5MTGw6H9uLFC+t2uzYYDG7RS09hRfi1xWJhr1+/ttlsZufn59VmHrzTh8NhZZQH3VFDOSAn+D8l0NNsJbQXPDLlsc+gfFDr98ac54xuvpjZrYtsIz6foq26OVxCv0vocJRGebAnR+Cb525OHiwdg9S8TMkHJem8evjEH2TmVqtll5eXNpvNKs84XvsPsW5yfan35eDkDOTeiAc81rrv9Xr26tUru7m5sb/85S+VweLnBNDFYCj+nIF5IGRTXleeURB0DuGCkNYDTxbm9J4+rqdLc/jrJ4WP5k3999LXGW/Vc/V5Sb0pu8Jd1jfGVmUQrbNOfz4WlPKluroL8nn5NRpAam6wnSPifSkeFn3n5COWjXhdATxPcsbZa5eHB048Qk69vLws2hSI6sgB6obuDMP56emprVarKkoAb4jrKVXw/8FgsHVKFLyKcXrKc/+h4CH74MkZzHlyesS7rrGlriBbCtFijerVdB5eqTKUce+KPysZHu5YxGxIgAGAhXsOxYJjgCcnJ/b1119X8Wz1ODgrzZ7Syd/sXa14K2GMjGcpKJkHURqPMKviA4YPj5v5fF551jebHy9/RDvNPsU4V0Mm0sCTZzwe22AwsOVyuXV5UbP58QImEGI9tj+fz204HNp8Pq+OzKsnpdd+nS/AUY/Ws0DJAo8X1oXLRZnaj1FscW/s8RtGIz15EAktkeGghEEyXmoQUWaP/mKjORs7eIz7/b6NRqPKuIY4/1BO0a8lwOuJ8/FYcUgePEN63ZEvpZ0pOh0J6pompWBHwhjPr31CDp9fGjQaDZtOp/b8+fNKOcc8Xa1WyRjVj91vnpKs60HXhNm2UZoVdfZChxEcafgiUN74hNHczG55kiI9QGmmmbnv2WDOnp5Ii4uQptOpjUYjm06nVRtVmY/o7nq9tsViYWdnZ9Xl1Gg/H4Hnuy9Kw/Dcx7rdJ6i84oW4yskLyJvK4/G3iM5hzCFfQR5gQyVvpGOOcvi7aFwimSol90a8oi6/iurzlHqvfxhyxoAoj4dPCc4l+RQXXnMw+MEwrkbnum2pAzn+ru/5DhycLGFZiE/fRGUx3DdvaLVaNp1O7d27d9br9Wyz2fysDOaQI7F5mUrnQZ15f1fYRQ/3QqOpnA0eiw1sTs/1RnIA0ipPVH0kWsMMTKeVTu6zj0vXV9TnES3xZN5Suu7xirqQqh/Pnjoo7ebnAK9v+V1ULr51/Dx9PjUW0VhFa7NUro/oiSdvMi5RWsU5xwM3m011chS2ETglallRG3adY5C7r66uqk3MZrNZOZmwLYx1Cjg4QAeBPsHpGNd9ywG70GXNs691+RT17CdnME9BHYISPU/tLikT9RgL159brMjjKUGMjyoASBvVH+2+emki3FhIZ6UZeSB4ADcsVvY27/f79uWXX9rh4aF9/fXX1eUqZmaLxWJLYYfQ4fUzGys4fnaqX7UfgZMqFVGbNQ97UaUUQgjZPI+AM8LTbDYbWywWNp/P7ccff9yK84r47l9++WUVa7DZbFZ9NxwOKy9NGDTwDhez9Xq9rfhXBwcHlbKMfge+IMRXV1e2XC4rZQFGm0hg5H5VIUnXh5YBBYrLAi46bjwOPNfwX0PQ6NjB4MQXbmLuc4xQzqu72wre2tG55s0djbWKPCzAAD+cLFD8YUA/PDysQl78+OOPdnZ2Zn/961+r0DtqAPf6VYUwT2j3jIQQMtAWDdWi6yiiU6n+Uzyj/zre3ppmqEM36vATbQuP/y8JcNT5q6++st/+9rf24cMHOz8/r4wjeoJI500KSgX2XcBbvzz/lYbxe+CCZ9hAxjfPIxjK2ZiEC4A47AsbuOGRz+EMFG+mn/yfebMa6HH5UbfbtePjY+v3+3Z0dLRlNEVcdW6vjsP19bUtl0v729/+ZvP53C4uLszMqvL7/X7FUyDg68Zgalw8HvHUgOeCJ0MwqEc20vHvSIFlIxDXyXQNF+heXFzY5eVlFeoOc4d5Ieg5TkHg5B+Mmyl6F/EVgKesR+miZ14dufmCb09OYXk6pQCXyO51jAhRmpQsqfgwT4ds2Gh8NJqfn5/f2swuxacEvPmZS4s+xmmWm5ubatMfG4SXl5eVV18pH7gvgGPP8fGx/eY3v7EffvjhZxOapdVq2cuXL+3w8HDLULwL1JWHvLy5fJ7M5+m0zKM1PdNKGJomk0nF38xuy+JaNr6jOa98MVrPXvkeDfJsAaW0T+vxbAweRPQ3kskjuu+dzEVZOVm4Dh319PhIr3/KgHaoTFNnzD2dTctS8HhjDqI5VDqmHm/zHAC98j1nLoDnac56tTf3+BnKQ5gqOJ/d50Yp6r25+Rhqt9FoVPLW6empzWYze/fu3RbeSL/ZfHRuhBMKZDc4pnIYl1+C7hnN3fvUFVPwWRnMARFBuGun7UqMc8RPCb6mVebpPa+DS47IMjBR4d8qpKBMNqpB+Dw6OrLT09OqHr7ojev3vj3jhcb+TCk+Jf1TqgCkgA0T6jWnQtlms6kuRXv79q2dnZ3ZbDbbinu7Wq0qA3uj0dgKAwAjBvoZHhMwTrCiC4KKeLiRVw+HAMFFoqyQK/6pvoqEK/7tebGlxiynlHtpeJ14TFMN46pIK2ON2h7NW2/dan4vj6ZnJR+bUu12u1KawSxns1llGONj9xFEAgq3XfvK7NMGEL55AyYH2o91FKjSOVGan9+VptW6U+Ppvf+5A4yko9HIRqORbTabrVvg79IfdRTHXcv13qU+nI7nsnfcVdcJytAQL2b+BZ3sbe7Vq2uXN9vwjTyoD5d54pJPxE7ncriP+Bv4rddrW61WNp/Pbblc2vX1dbWhDs9yGCnUUF5KMz6XdVQqwOfeeW1mfqRzgPkFNlgWi0V1QSTmD5fDeSF74ORSygM1hb83Nx9aefHq03lbgnMJniob7KIflAKPGTbUcbcAn14x2z6Vt6+6d20bO2WgX2EwR8hGTpeS6e9z7qBf+/2+TadTOz8//6xoTwpwahWhFj8nyM0F5seRzM+epFgrEeR0R48nqjyQmjOejlEKD01Lo/rr8jmvb7x+9toT6QildPspz/cczrl5dFeo0zf7pIUlumnKTlWyDlJrV4FD4LKsvW/g8Wa5C7JZt9vduiTbk1X4zjIzq2Trdru95YyS0613ad8+8txVTnrK6/nJGszrTILcsxThjgw8kcKSwzNaxPo88gBX4d9rX4pQsJEQzyNi5Bm1cHSby91sNpWhfDwe23A4tH/4h3+wg4MDe/bsWWVUY6UN5anRnQUP9mb1jrwpblFfRmOt3oFKoJGeceLfbNBATEY2isAA/dNPP9lqtbLz8/Oq/87Pz+3du3e2XC5tvV5Xu4Wr1co2m43NZrOtozd60Waj0agM5KenpzYej+3k5MTG43GFe7PZtMFgYMfHx1vG/M1mUx3l5fbiPcbZ6zMPeCxgLPLGx+tHHi8NXcLzgecpl6+CKitf7K3ZbDarcWLjr84llO95rJT0BRuStM1eeAP+5t8aCxHjxycFsCawKTWZTGw2m9n//X//39X8KlFCI1zQj/wbO9s4gcAXEyot8fosRat0HLg8Heeo77068C5FpxWXCH8PVy//U/WEvW84OTmxV69eVcZyz8jrzQFv3vB7s9s8sVRBzYHyHQUNTcVhpVh4xXrkU1ZmVtEcjW0OrxIo8BCgYYTG5ZnwGFbvfODOxjH8h2DNAjaMQcPh0CaTiQ2HQzs4OLBut1vhgnL4TgMOfcb1LpdLu7y8tO+++84Wi4W9e/fOzKziSwcHB1W/eCdR6sBTN1xFNEppmubh71K6xPXx3MNG6fv37+39+/fV5oWuQY/HrlYrW6/XVbgPyCnRGitVRlNKrpcn9X9XRSniwcxjeA15fMIbx+h9Ct/oWU6J1HEAvgjP1mx+jL/6/v37rYvDkH4faydXRtQG1M+xVrvd7tbJE7707LF552g0sm+//dYuLy/tp59+qk50fs7QbDZtMplUF7DuAvugwbvQOg94nbIBHLyL5V4zqzaGe73elp6RWqNK05UGMA1Gesz1SPZl/hzJRV7eHO3MjUuuLA+0nVpGTt7WsiIdg8eJ+1DT5uhLan4+Nk3xgOk4/pv5zlN4jnQpPUrT4ntX/pmCUprgpfP0O89GwGm9U3xmt205Wq/yeMUBMtTBwYH1ej07OzsLQ45qGXVBZY/lcml//OMfrdfr2Xg8tlarZZPJxJbLZWUP0vw3NzcVX7q6uqocU6BP4N2+N86fMtzH/K4LT9Zg7hGAfU6KHAHaVx3RAt83qAEqlS56zkYBs20Cj52xw8NDG41G1Xe3260WN4x+rLxweyOCqcbyCN+6TCFSjrhcrVOPufNtxTCIQPBfrVZ2eXlpb9++3TKY9/t9m81mNpvNKiUCHl18dJr7nY24wAlKx2AwqIwU7BkG4gkvZBg8WVjTT2r8vf4rSevN8VzZUZkqUKWMCfqe5x6YJM+vVJmlbYnw1t+l9IvXCr51B5k3q1qtlh0fH1ur1aoMbbj4tRTnCHTew4jGpwVSbfHaWopLHSG/bt6nwGg/d8CaGwwGNp1OKw/IlKIEyAn/mva+x8tTmCPFUfNwPm07foPe8IYop+NNWD2tpHWrUQwGA1bMUScu8RyPx9UJAFwiyOEclFZwe/gE1Xw+rzzLIdhjIwCbaiijdC78XGBX5SplEND3Oh8xPnysWGPga7nM91h+UXlAFe8669Dj99qeiAakjEJR3jrGIwD4Kt4zjh7v3Dcd0j7JjRXSYd3CiaXb7W7dXRMZZR4DgAc28Ph+HfALldEU9mW0SEG73a7CHw6Hw+pk5ucKOJEIHe0u8JC8uWQde/xY6SXmV86zHOlTZefqT8k4zJO9E1aRcVN1n4cCTxdXnPR3NAeifuT0zFdS/Zgq63MEj68p76nDDx8acryrBLxx9ebVrvYrfpfCEaf6IZMzH72v/r25uank5263a2a2derU20Rm2gG5jZ1hgT+cdXLjkuK59wl17QC7AKIvROFY9wlPxmDuMaXI6BQxOm9wVEira1xRYyPXrbvcOmkjIuEp2ShPcagz0VRxVYYYEWd4kmIxq4dus9m058+f2+Hhof393/99dQM5lGo2lKeMD14cOC8+ndduVRy9/lNFCDh5F4cC+PI1xJxCfFAopjjKjjJ++OEHm81m9uOPP9pyubQ3b95sXbaJvuHQJ8i7Xq+t2WxWZYJoIqwKyuh0OjadTm0ymdjJyYmNRiM7ODiwTqdTjQ+O9iDuOS604JiSGkbG86721obHrL14YvC49+KhevPQK1vx8EIB6firoKfe62afjmGhPDY0MX4evfHWuocr18lGqdQ613KAO1/Cx2EaYBBHKIzxeGzL5dL+x//4H/b+/Xv785//7B7v0jZFeOv4r9drazQ+efYwXropljNyeOPHaXVcUwzWw1khFbMygpRg+tBKzFMFbASenp7a119/Xd3gHkEd4S0yiKWUtl2B6QV/vFNOmk7x0OORyN/tdqu8KAc0+OrqqgpxwvEIdQOCN2h53bEybmYVL8FJo8lkYoeHh5XxhHki02LPoxwGWJyM+vHHH6uQHzjy3+12bTweb7WLDbCRIvg5gyfL8HOP5qhcV8IDwQO0Th5DxLmH0VRlNS7L63vkVSOrd4IIc5jx0fYr/to2lT9TOPKcTsnhnsyn4NEOlY+5XC9thCfn03Qp/SQHqjtwecPhsPIwW61W9u7du+qUCOaBp3R7/XGfwPImZGd4/vZ6veqOHRioH4O3IlTV6empffvtt/Zv//ZvtlwuHxyPfUCj0bDxeGzj8diOjo6quPf3BRFdT8l5/L50vJn3chnMB80+Gku63W4VoxjpIhmCnWgUJ21Dqi0RPWC+zfqXtq3RaNzST7w+qLM+Ipk8Ssv0XZ2KcnWkINLf8D/qP/7NuOToeyleDw3Ku/FMweNreO6V6f338u/aJzoPcjpeDkcdz1wZkezipePymL/re/zGSf/xeGyXl5c2n89d/f+uoOMNo/nV1VXl1IKQq7PZbOueD5UpIJev1+uK3uEuqfl8fusSUe6TpwL77FsAynv16pWdnp7av/7rv9p8Pt9rHQpPxmDOkOpYXmi7KNE5ob00f47op+rj7xJimsPPK0OJgMeQwNg4LAozNCjJg8HATk9PbTKZVDEwWRjI4ajGBq/tOYgYr75Xgsl1cBkQaPCNI6PL5bK6IBOGBRhDcAzm3bt3dn5+Xl26xR7jXKYSdDagsOEaBvJOp7MV63YymVRH6/n4NAQweJagPVCi9cgihLJer1cZPSLDRmo8POVSDdWpeRAx3rrrTwH5NbQAX2rq1cNCrmegiHDeRYDI9SuAQ8zwczZoYJf82bNn1ul0qnkI5p9TXry+8GgE8GDcGJdcW3aFFM77EOhT41cinDMudZWazxXYsxiGG7OY50WQ6stS2Gefp5R7L22Ev/JTpo2sSOOIJYdv0VApqkDxf8w50Df2lhyPx9WFjlDGI0VKZRLwQJyUQnzsq6urKjwTX+zJ+SKFbxd4SkI+gyq++ygvxQ89nsVjjo3zqN+j8pFfjdK6icyyhrdZpL9TMmAprYzyl/a5J2dHOOf4110NMl5/pOT0krIajUYlu/X7/a0wTlyfytcPtaYUBw5pxTFkG43GlmH9MQB9ORqN7uyV/djAPPk+x7qU/u1CI1N8lctVHoj7nThMmqfrejQ1tQa9uqO0qBMOVhwa0tOZmJewrKCOXfcpX6Z4TNTOkjK9Z55+GD3P0asUzk8RdB7ldLISPdHjIx7trwvRHK8zB3P11rH37DoXo3XLdgLw0eVymdRn9wmQ70EnYJcB/0FIwyi0DPgp6F6j0aj4KefTtjP8HPVV2Ogegg48GYN5HcW1TjpP0dHO9f6n6ok8hrxBY4bNZXjKkdbjMZToecSIIgMamDU81PCOjbHdbte++eYb+/LLL+309NRGo1HlFceXS6rSr+2GUID0bCjAQtdxivrLU87VaK+exEwo2TiAcCrL5dLevn1r6/W62qFqtVp2eHhor169qowFZ2dndnZ2Zn/605/s3bt3laE8CmXDYwRF9cOHD1vHcTAOuLBnOBzaaDSyfr9vX3/9tU0mky3vcxBMM6sucGu327Zer22xWFQXgqFPsaPa7Xbt+PjYvvzyy8o7FP0GoqtzUg06TMjZ+K9zHGl5jNm44p008CCaxzym2sf8rXkVF/aWVm8PT/jWMrUdGr8/EuC9NrIgzV4wZtuX6CJUSq/Xs3/4h3+w+XxuvV7PXr9+bf/zf/7PygORDd0e7VAB1WO6PN7oIzB8ryyvjZ7nv0KOznm0MhIGvDJTz7TsOsLEfSs1TwlwCe1wOLTBYJCc1x79U/7kpfHy3gU85SqVzqvf45/Ki1jpNds+SQUhF3dggO9AscZmNdNHDgWmHzOrDNjYSD08PLTBYGBHR0fVxqviz7grbYIA/+bNGzs7O6t4InCbTqdVuBeUqTh6/RX1Mf5Hp3aeMvBaj2i5l8ebO5oGz1VZxG/w8eFwWMke7MEYlWn26SQfTiPwJa3qtal4I79Hh0voJo+1R+sjWl1HPvDWur7XDSSWR7082gauQzcY8Dw3/7Wvcn2nOgc8aZvNZnW6E7ixkU7rLYW75EV+tAlhC9frdbWRB10DdMeT5x+Klw4GA3v27Jn9+7//+4PUdx/QaDSqU4cPcSQ9mhMpuS3KlxtnluN5vqA88MDStisN9ugPy9+Mp85Pzgsej81mbIpru3lDHfQYJ/ewppW3RLJ11J8lso73Kc0flcm4RXVqejMLN8w8nJgXabkPMfd3gaivzeoZND0e4/Vpbn1G/DeSNb3yU+9L6mZ5NHKm1DaXAvN5lTm43tFoZO12uzrxFPHtfQNsT+v1utKlcGITIXz1PiPOixCszE9ZHn+sDegcfA6yfQk8GYO5B0pcvIXnQV1h2/ufYvA5JsZEz1MUU/VymhIhMhK+8durDwIBlCYOWQFP5Ol0asfHx5VnOS7/U+/lFDPj4+xRnzChivDl7xTB1v5i4gHvvvl8bvP53BaLRRV6Zb1e22w2q4yBnU6nOuZ4eHhorVarunDpzZs3WwbpnBAGoejo6MiGw6EtFosq7jjHlt1sNjYcDu34+NgODg4qwzkEKW9O6MkAvswLJwEQb7jf71dHNlutVmX0NLPKCK8MXcdA+9ub26n5XYdoljIwT9hNATNU5NeQTXXXseLJm0c6L9TA4fW71o85pAYqrOHT09PqYq2Liwt7//79VrtSfalCEz/XtclzWkMBRHSoxBhQooTlyorep3hBagxLhbVIwP25wXA4tJcvX9poNDKz9Bjn1kqqv0ppRE7xKCk3qkvXmCqVnM5TsLkM8BR8wD+ZDmGt6oktVipAB8Cf2+12daEn+IReRqr4azuurq4qr/L5fG7n5+eVEa7ValU8ijdszbZpWElfRzylzpg8NuicKIVSBbZEpjWzavzH43EVyufy8jK8TBFjjtMh2Jj3NpX5O6JrOR6vz7z5mMuj/VzCS/Be+WiuP3UdpmiC2bbRK+KPqfwelPAQfo85wIY6vcektM88XO4K2o/AE+XDw6/VarkbNqq73Bd/RXgp3PmwWq2erMEhgkajUYXhekpGw5J5FOmokcGa6Rv0HD7xlKtLaZfHy6N03noCTh8+fLDFYlFthLMjEmRl1kdRl3pGcli4lF5fCpF+5umrdcuuCxFtzskKHr4pnekpQYS78pIUr9T55tH4Ejxy/JY/u0BOB0Aab115c0Hp/y7j67WbZXY4njUajS1HxF2hlF+BbiCELnghn8JihxQ9xQlagvzwUoedSvu1pF/u0p6SMvadlvM85Np/EgbzfSlOqTw5BZsXZamBJUUkSvFPKSXehI2Yvgr8npGVCTW8ldj7Gx5v4/HYXr16ZX/3d39XeTtjZ0t3+ZUhsHeseuDyYufn7AmuAgMr6cBd+54ZEX/YKLxcLu39+/f23Xff2XfffWfz+bwKp8Kext1u16bTqU2nU3v27Jm9fPnSzs/P7d27d/bjjz/aX//6V1utVtVR5dSC3Ww+XZL28uVLOzo6svPz8yrUDYzXaMt0OrUvvvjCDg8PbTwebx23QR8wc+ENDxBgGPtfvHhho9HIXr16VcW76nQ6lXf51dXVVl8DV+5T/FfjKH9USPeYf0640RMbPIYqZGh50RpkI7imwRzieY90fDSS03rtY1xTuHnPwAy1z7nNSI+TCMCXPcna7bZ9/fXXdnh4aO1227777ju7vLx0Y6KhfTo+Xh+iLjBs/o95ox71uzJW1KflMZQqDCna7gnjuwigOt5eWT83mE6n9vvf/94ODw/NLG+QiQTmXSDFI0vKV5oVKV0ogz/e6SGPnqAerBfQFXhvw3MERvNG49OJDfYO4TshtJ2g4TCQY83rxjePjcZmZ+MDTlidn5/b27dvK884lAmDPGLDepeNlihKKXiKim4dSM3pyIDFdF77M5Lv8E5lh9VqZe/fv9/yalQcWq1WtQl/eHho/X5/a654Y+kp6p5cGinB+O3JiFF9GsLAMx5pPyq+Hp/I5ddQY6mykF77zwtNtG9+wDQJmx7oI5ahWT54SL7kzQvUDWMi5NZ+v1/JMnzpZimfL4EcbcI9QkdHR3Z0dGSvX7/+LA3mz549s+Pj48dGpYI6Y+fJZB7P5U1a6Gnj8XjLMzsa7xS/R/mcjum2p18rH12v15Vn+eXlZVUGjPrYiOF7hiDvNpvNau7z3Sdc9659meqD3BhFdCNFczWNPvfSec5FSgMU56e0MZQD5mHcHu9bf+vc02da7i6g8q6Hh6YvLbdEB+Cx9mQJD5ccDjx3vXkMHoq7LJrNZnUp5z7BG1/Uv9lsKmcVlus5lCJCN+IbfJ2dcKBHMD99zFBnjwUPpUc8usE8pSCk8njpPaLr5alrdEkxortCRFRSxCvHyMy2jdBIDwEbu1EQtK+vr6sQJNPptDLA4Qg2G5ZVuGBPJTWSK2MDIWi329m2K7HheNRK4JWR6pEcM7OLiws7Ozur4rMiXhT3ZavVsslkYkdHR/by5UubTqfWbDYrT3T2LGdDJ+POeLdaLTs6OrLj4+MtQ3ij8dErRGMnDgYDOzk5qTwnPCEQ9XB/Q4l+9uyZ9ft9u76+tvF4XBFh3r2E0MblRAouj2OEi4KuM28u6xrNKbSpPvDWya7lsVAbbYak1qLXLlUizfxY4F5YIgD6nz1IWUHHyYIXL15UY/3DDz/Y27dvt8Y7OqkQtU3bz/OBj3+lhKCS+iJ655Xj1aHlR4J3hAfnKxEaSwTBnwtAqDw8PLTDw0Pr9XpmdlvA9fq6dK6lhP7cu6hM71mJwpiic8pTQHtVOGdl5ubmpjJmwhgO2q54NhqN6n4Cxh0xyRGOAYK13gzPm4TATY+1QwCHN/lPP/1UhYmB5ydCdsCznDfOSvmA13cpWprjBU8JIsUOEM0x7jv0JW+mwLMfHsSg5cyXUX6z2azGCRsvTOsZD5wW4ItgI0U5amNK3vViZ3pyeYqOe/89OU/nieKozhgKqXYgn54A0zZ5fcyGn9SGUilOUT5d4/1+v2ozTk0Cb50P+4CcbJXKt9lsqtMQ6Dfgj37zZIpd+W2pjnZ8fGxff/21zedzW61WRXmeEnwONLMEPD0S84JDhYI3ecbyHC32aIimZfDoI9MldiSDExU2nBE2wWw7rKLyAJSzXC5tMBi4umVJv3n9qO1K0caoXKXJufq956V0I5LhcrJbaZseGnbpb7M0/VM7A6f39MdU36dkgKjenPwTQY6XpurO4ZVKo2ue24CTWt1utzJC7wopvSHCx8wq2mF2+x42s227HWgGh+S7urqq0oKfQp4sCddXZ02XwH2vxcdc649uMGeICHOOqHrCuVe2EhnOm1LuPQE5laYuaN1qKNIFnzIiKC6cFgoYBA1W2vr9vk2nU3v58qX9/d//fRXuA96qSlTZkzz6Vnwib12vD7Qej+BoX+A5lHw2PlxfX9u7d+9sNpvZcrl0CQg8sQ4PD+3FixfVRTocuoXjentHoFU5PDo6slevXtmLFy9sOp3awcFBRaB1DKHUohwQUm4/t5n7BpcXvXz5cssw6nkJc397ntiRgBIJjlxeKq2OozcXdCw9xZiZnldHBCpcc1r0CzaPkJ4htRa9MVJctQ+g1PIYKKhCzt7xvOnTbrft9PS0Ok1wdXVls9nMPQ2REoBzzIjnfkowq8PUSgWNkryRYMJzX/PeRQD/uSirEXQ6nery4clkYma+cK79DiiZE7sKQLvOt0j5Yp6itBDPdK0yjcAcY9rKF33ibgGsH68srx8Hg4H1ej07ODiwXq9XeZfCmMrCM/gY1qneH4JY6mdnZzabzapNtQ8fPlT8B7HRkZcvI7rLfI9kMO3/zxGYtuuc4Pfcj/BOxIXNV1dX1ak/M9u6nHOz2d7EhbF0s9lU35H8iHnAmyde/Hnlufy8jrzp/Y7K0vSp/CnlnvFXHguIPDdV5uBvxUVD8bFRStNFfRDhXpKe2485AJw45BNweKj1lNObADAuwvAJBw940empuKicfeKNcCb/9m//dm/1/App4DXIuo3Z9h1VfPk4Lu7LhQfzeL2Zr9dHeoX+Rr3M20GjMa/BT4E7h/zhdQw+gLzslLAreLTpLmWlaO5dyi15ruOXwucpgSfL1eEHTAdL86kMEL1X/PS9yqK5shQinSri6Soz5dZqVKfqI14fsozQ6XTsw4cPld3lLgZzBdWTonahTpz6h6yGk6NwcuBoBKA5MIyDp/Z6vUqeV7tDCr9dIDVGP1d4EgZzbzF4wr+XXvN4gnJkvNL8Xv0eropTNOFyBp+oDj3umapP8fWYPpRreJZvNp9iq7ZaLfvNb35jk8nEfv/739tgMKiEbxiIuWw1jLPntyqLjKMnBHuKnbbL60vN5/Wd7tRNp1P75ptvKsEFAjoMzZPJxEajkf3d3/2dTSYTOzk5sc1mUwlEq9Xq1iVF2h7P+xDEDB/sFnqEmQUojWXL77n/UAfH4zKzW95FbCzWtQW89fJP7mNdQzpOqXkerV3N641vCnSeR32ldXM63cRhRRdziI9gc1meIB31h/aBbih56yEqw/Ma3Ww+em+122179uyZffjwwabTaXVBLZ+OUHwjesp94s0LjuOqtLdE0MuNd2SM8NJGtLYEjxJhzEuruKYUt88VOp1Odf9C1L4U/7sr5JS11BrM4cfg0VZeW7phZWaVgYfXI9NLvvOj0WhsnaziuKabzWbrODbqBs8eDoeVAo5LPT2aCjqlhtabm5vK+/TNmzfVJde4uBt1DAYD6/f7FR/wYijuCiqj7aIMPgXw+E2kOPA84o/KCd1ut7oMnJ0YMDZe2A2vfk9Z1jQ67yKFqmRMInlC5QUGbnsur1efgifvRjIzlEgvv7d+PT2BZSaP37FszPKZtj2ClJ6jfYH3kOsxh2azWSWrot258h4CeA5CBjf7uAbG47FdXV3Zcrl0LxZnurFvgDcw6B8chJ46HB8fV2FJfg6goVigB7H3JYckS4GuSUCKhngAeh3RDfBb6M1wSEPILLxnXU5xAD2+vLysnF2iE66RnJtqe4n8kyor0g8imaBEDi/FyRvHz2FtlkBuLHkOgP+zNzLmH3575etvT3ePbCteeqXDke7k6dpRH5hth9xVnO4Cntyp+OE+IDgt7HujOcW7vPXNMlqj0ahOf7ItAqcQsSEHvBH2DBfDw4b3VGSAXWEfc2Ef8KgG8zqdUDLZovJSAjyeMYHQxeoxOK/sHL45RSDHIOtMdi4Hu1UcloPjET979syOjo7siy++qARs7J4rbmow1+clYxC9LyGu3BesmGibzbYNbv1+3w4PD+3s7GxrBx/GiOfPn9tkMrFvvvnGBoOBjUajKu4ix49C3WxE8eaHKk4gWsij8Zo9A6rXfu1LeA97RxhZSGMhlMtKGUI8QSW35nScU4q4lh8JZ6o03RV0nqkAqEZzTxmvo9R7bVHFnA0Y3u6+9huHdWEGi7iJCO1zdnZWKaesRKdw1HpRtwoznqc5z7cUzfX6TddTSonROnJC+q6CQomAn5q/nzvgToTHVMpT/M97V0KnPNB5wrQAZXihF5R+A5QOe6euUD4Mo1CucQoJHuXwVoP3idntTVHU4RkdEC8R9GA2m20dc+/3+5XBSGmS8oyIH9Sd/5/zWlGaqPSO5wdvOODUAcsHkM8ajU/e/JAVkM/jq55Sy/VrOuZdHt32lOWcPObR1tx/xTnF8zWNp/BqnrrzSo0OLEfp/FYZEGl4zSlvR/q66yOngwAfOMRAruVTZWb79zQv4Yk5gMMKNgD7/b6Z2ZaMEo35PgEGE9DaXq9X4fbUYTQa2XQ6rTZi9wX7GN9dQHUVpS0YK5x+Ki2Tv0vqBaRkfS4XhnzQccwlAE48p3CAMRS6tydPRBCNl9efeJ6Tl6L2luJTd+54tC4l/5c8e2xg3p1Kk7KZ6McrMzfHo/RRnTkdlsv16q87tzhPlNfjBykdWfOk5jyMzzjlUSK/1IWUTqLl68Y6y/Xtdtva7XZlPAcdBN/EPYQceg91gAbV1YdL13I0P+8KD82HUvAkPMw94NADgNKJnDKeRHl5MtVRtusQ99zAewKCx/A8/BWgiCH+abvd3jrC0Wq17A9/+IMdHh7a7373uyqGEyvKrOSroRxeaOoV7hmRI4EDH89AWHJ8Vp95fbjZbCpBpNls2mQysVevXlUbCEdHR9bv920ymVi/37fxeFx566C/cPQVu3Z8fJT7hkPeDIfD6tLN4+Pjqv/RtxDIOa96f6lnGRvbmQB6TEUFQFbe0S+RQqxzTuvn/Nr/nF+JJ4w3kWFUvc9KoGRtRsChEVAWC8n4z16buY0hzpvqW+07VRI4jIq2gxV8zA+kx0bXcDis5uvz58/tX/7lX6qwQmgT48TjpPVh7UAxw3vMaaadeK/ekFFfcTtywHjqmo8EK4/+1lEIc8LlzxVA8w4PD+03v/mNjcdjt99yfDUFXnkRv7yL0KrzzFNAzD6dSuK1wR4dms8svQEJPjkYDKoTRuAd4B/go7iIER8o3jCUq3c616mXfppZdTIKYZlev35dGcrBe2CMRz2NRmOLr5UI1qqQRDTEywP4nNZR5NHFRknPUI7/8CSEoZDHEJc3sYKEe06Qn3m+bo4weOuSy9DQF7rJ4pWldBcyes4gy3Mixfc0jyrIHm1Qvpnjv54OwbIuf6sM48m3POYefTGz6iSWyhel7YpA60boJswxrHXQDD3VWLpeFXZdr57OtVgsqk1CePohDCTuTkqVsQ/ARiTCGf7rv/6rLZfLvdezbxgOhzaZTGrHvM7BQ9Nj1oF4ffGJXtzhgXsbkMYD1S0ZojUX0Uvl88r/YbzisAmqI5TIt6gLMgI2xuvwSqZTOZ6gumJUVlS/2kk8ulrKl/RdTs5XmnUfNGFfUCJDcVqAp0+xTgjQk04pqJvOLLbD4B0/99Kk5lnEe9i24eFUB1LzTeV02H+Wy+W9nDKKxpffezISjz/ik8PrHJuHw+HQNptPJxMXi0V1ehF33PBdCxFe+2zrvvhIipak6N19wJMymOcWlDfJPCgZrGjCquJXCvucIAzKoEvrB/PmI70sfHS7XTs+PrajoyM7ODiwZrNZLTY+usqCh6cQaJ3cf0ooPebrTfZIaUgRfO0jZjbsUd/tdu3g4KCK04qL7IbDYaW0NhqfDAdgUho3D2nMrBJucKkWCO9kMrHxeFwpwehbEEDgx4ZxFdS4PZ5CroKZNxacP2Jq3lhqX3qCSh3mmxII9L1XfkoASymfddcO52HDQiSQenV7ymhqXntjyOPlrSc23rC3N7xT2+22TadTa7VaNh6PK6OddzQ8J4hHgnNEn/apgKsQkRPScvXvSqdTCgaX/ZQF+FJQIZI9pjgNQ04gzMFd5lCEU518ET+qM5d0zcIIzwoAGy3ZUwTfCK8FTzU884zz4PNMA1ioxp0duLR6vV6b2ScDba/Xq36DdqR4RZ3+TOX36ONTBqXRSo/4o32Y+gDYWKv/I7kmpYwyRLhxOdrOUnmW++Kusnldfu2VU9Ifmjb678keHh9KyUMR3/Lq86BkHQGYdphZdVcPPpE88lgA2dxsO34rQhOxDF5XB6wDWGuj0ajShT4HQLzrzwVfBm+dMO1hegU6yKekc/zJk6lVF0rxfE6Xqge48L1HHt0oKYvbvCvsInenZOiU/sX5lR7eF22JdLWnKkMo7a2Tz9PfzfI6b8THSnhvlC7HO+r2v86rXeSaOnVF/AP1gfd0u90qrMl9zqnUWGgf6Duz7cgCZtu6BmiIvucTqUxn7iqHl9KPXcopmbsPCU/KYJ4yhHgGJW8Re0TEK8f77REnTaf/mSDyoEZE3Rv0OozdS8eARQOPtVarZdfX17ZarSov0b//+7+309NTe/XqVXUEURcQG+WwGNmjKeVpxW3mvlXh3VNCVcBQIUr7nn+r0AWBe71eVyEpJpOJHR0dVXHw+Ch8o/HpSDRCscDYeHp6apvNxjqdji0Wi634tZPJxLrdbmVYGo1GlYcvX7qGOFPaT/D+YUKHPHiP9ijjZAWD06hxBenVe1LHEv9TyijjwMd+uR4vP3ta8dxR73cuwxtXHm/GBx89Hs1ler95bqtBAQI7bqLGnMB88fpHy/f6UekUe2/zxgo2r6L2gMnzDjQM4x8+fLDJZGIHBwf24cMHe/funf0f/8f/UcUzxlhHtFZx5ksLdV16806ZforO5QwK2l8pwe2+heccHX+qwnsdaDabNhqNqg/fVeFBapw1XWpt3KUPc/XxN+YxjEz63+zTZVxYZ56nOdephh14e8KzA2sIvMVs+2JHeNHxsXPGhRXqzWazhRPKns/ndnFxYe/fv7eLi4tqrYOvIS76ZDKpvNhRvkeHU+NQonxpGSonab6nIBR7wP3MwHKGelorL8EYsxeiVw/SqmzEY6+KkyfL8ofxRRr8VxyV1+oJM5YNwW8jmUNB6Td4boRLnfKAi7YzN095XfH8ZJrn4eW9i+Rbs0/yD9Ipz1S8Fc9UXzAOcNLABb+LxaKiF3yibhcowaW0HOAMuoXTN5ClIdssl8tbsXvvg8dOp9NKxn/q0Gh8DCc5nU5Dg3mO1z4FwDpjmqiXv8JYPhqN3PAzPB8ifVLTcRoFrEmPfnu4e/gwbYHXeKosrtuTYUtoYYlshv/KXxivaN6k5HMGbz6W6kZeGam2P2VZm2m7x885Xeo3zwftFw4dpTpxBDo+3vqJgMvXeR7JG3Vl+pyO5+GUm185HDabzZY39ocPH/YSmisa57o8TNck5Ad4w19dXVm73a7CZyJiBOx+ODFs9ikcGk6bP9XwY5EMlEp33/BoBvPHYuQpIYKZRZ3JvO+2RMajlACAdxA+VNE2sypO6dHRUeVZ3Wq1tpi5ZwxI/Y4gYvj8O8VE6oI3rnzZJnuK93q96qi7tleFJSi5CMkCg+n19XX1bjqdVhen9Xq9KhYsx4P1lCrtK00XKZLROEVllva/p6x7/cwfVTJzUDJnoPim5lopE47ar0p/Di/gxKFP2FCRwyPFOPW3p4hrWi2b28F5YZA7ODgwM6u+YcArBU8Y8pSSHK6p8r1ndRX0+xKgn7Jgfh/QarVsNBrZYDCoZSxPQZ01si8eHNEN/PZoqEffPGOpB6zk838t2/tvZlv8W0+GaXouF2EYlsulzWYzm81mNp/Pt8IaNBqNapMYMVeZ5yluu0LEhzwFHVAiUzw2pJRcnS+p/CpveJDi9d48ivLq/IrA44GKX4lSWlpXqbxQUpbi5qUprQtj6MkFUf+oESHFt/m35ynrrZcSnBkXyP44DblarbbmZqnMkqtzn4DNfoSj2Gw2t75RL7d3n8AhqhBu7ikCQmyChnvwucgrKf6L98wTvfXllblL3Vy//i6tp0TGSdG/u+rB+4Bd11YK7zo64s8VlG5pXygvi3ibx29K6kZe5U36rlSPj8rx/tcF5Wl18dklLWgNaKuGJ7wr1Jn7Xru9eQPZHxdo8/04UThJpaONRmNrI/1z4R0MD0VXHsVgXqI4RUpA6hlPKG8BI01K8GejoaekevWUKBYlzFUVKs8TJMqDhTEcDqs2wMMEHmt/+MMf7JtvvrGjo6PqkgOEYTGzrbjkqpzxIvSE7hKDhbbP87LitkfGAU7n1QOP7Xfv3lUGc3gowPNb6+G86i3W7XYrY/vV1ZVdXl7azc1NFU9vMBhUuHG7uA06D7z5pX3OZSpjg9cFnvOloqqIIb03LowbCKmXBt/4cLx7eGaysuYJndoHeK6e3cws+ViRjj/GS/FVhhIxSA6DgE0Vje2qwgTmFk4XsDLHBi4PV8bTe8dtQRx9noc6Ptp/GHeOl395eWmNRsMODw+r+Gxv3761f/mXf6lOXXg4onzG8/r6+pZ3JMYcu9S6xrkcD/cUeP3m4cjvS+mSBykhJaqX23sXz72nBoPBwP7jf/yPdnh4WFuJy43tXQVbL51Xtoa34A8f/8cpIzOrhE8+3sgb0NHJKp7jiE3Nd1FEHsVYNzBmIZ4un9xRGYRp7c3NjS2XS1ssFvb69Wu7uLiwd+/ebXm1NxqNaoMYl8ShbXyyqU4/R+skio+oNM+TAR9K6L0roL94XDwPc7PbvJf72qM3ys94w8ZsO25o1Of8Tn9z2Vqveq+laDbmNZelcnIKPLkukue1zZGOED2Lnkd6iK5d5btemYqjyjJIo/wR73nu8LjmeKb3HrRhOp1WdAChmJjelI6V12Zv7u5SDgNkFnjkDgYDGwwGleyxWq0qOVflul3awgAZaTAY2OnpqZmZvXnz5kl63x0dHdnx8bENh8PHRmULPL03lRb8VzeGOXRAs9msvCbhXa6hBLz6cjKL6rNmn+6G0g+X5+lxXtncHyxzsK7jAdOb0rkd9UPJGNwXz/XkA8XNo/eql/IzpXV3XfP3DeD1Kb3e7DYf0pM0SIs5xHIB5DiVsyK+6qVlHJAmklcj4PWxy7hE64n7Q21PURnIp+XqGHhpG42Pd4E0m80tXrMr3GWNRePkjRnuLFqv19bpdGw8HldOnHiHtrAT3WbzcUP96urK5vP5rbmSkrUAT0Vufwg8Hj0kS7TASgaqtPw6oIJYSRk55SRKm0vjCfIePggpwoyWb9sej8d2eHhoh4eHlUHdEwaYIKkQU0qoSkCFD217nf7UckFgIXSbWeVV1+v1tkJpeAqhVz/6A3lRT7/fv+XNr+0qYVCpdqpiZbYdQgTtjZgAl8PtiQQ9bz1Ga1QVu2izKddGD8eoruiZCpjeGo4E0Lo0hgUhlJ0T0OuUDfDGIxIged16eZFvMpnYzc2NTSYTWywWNpvNturP0T4V6FgR8IwEd+2LVDm70IZcmpJyPNyeuvBeB7rdrg0GAzs4OKg2AxlKBamHAm+9p0B5HJfDoY3MrIrtre316GiKpqrHByDyBOG6OC2XCeMS1vFsNrPFYmGXl5dbIcMQ1xgeibxWSzbld4GSMjw61u/37Z/+6Z9ssVjceueVnev/EhxTZWw2m63LFJWvcRlReCsdzxSv0DSePJFrQx0ZU9sd8UzOl5PbUnR7F5qewymCXXhQJA+myuJ5HMmUKT0Hc4f5qndSobTtSAODJGKac+jFFJ15LAAe2LRkedvzMNbTjfvQFbHRcHV1ZWdnZ0/SYA5dJArFYvY4RoxdeLDHfzG+4Il8t1TJWszJ4iV94+nHdfIzYLwgS0Av3QV3TZ/6XyKH31UX4noj3TaXL6qX13XU1qdCu3Lg6cE5HcKTBRQ8udSrJ8Ip6teS/taxicYqZdsolS/uCopbat4wzYEz3WNCpP97MhwcGNkRlp0hdE40m00bDAZbTnZ1T58/NuzL9lICj2Iw10XhEY1o4Wo5DDkGws88ouUxScXDW+CekQu/U55bip8Xw9mrl39DkMTReRiL5/N5tdP0zTff2H/4D/+hUvzW67Utl8uqfAgj2MFnIR7t847DIY3XLwpsYPDGlpUTHhP1xsInZbCA5/x6va4uN4UnofYhl6fPOZY0C6mI+wpDOYRq4KSextG44ZmGXuH+BxFkXIFHs9m8FR+P2+ERWs8rjP9zf3h9rnXo/Fbmqe3n+rgPGo1GdQxKx9arxwNP+Oa+5jnFSpcXrzAl/HG8eDOrvF8iQaFEYFEaYmZb4++tf82L9HycnOP4NxoNe/HihR0cHNhqtbLXr1/bH//4x9AowF6uPAfW6/WWwgYBA+GdPG+5qB+UpqT6yOvTnIDnjV9KgIugriLzOQkcDK1Wy46Pj+3Zs2f27NmzitYBcnPag7soN6V5PVnAkzOwPtRIjTmI+QtjM9Na8AR8OKyJN495XeKibb2HwjMKmPmyANd1c3Nji8XClsul/fDDDzafz+3169eVNykM4/1+33q9nk0mk60L0yAUp/o1kmtKIKJRXJZHL09PT+1/+9/+N1dWQLu1/5ivcR38zTh4SkOEE9MynCzz8mjYCMaDN9SZlnJ7tF049eCdror6Vd/hfR16lJKpPb7M7yLFLlWHJwPWmWcRRMbEiB95ciTw4ZN7DB6eXjl60lDnGd/t4skgJePuzXPQlcPDw617SyIZsQ7sY4w8AG1iuQUnOc0+0UU+Lr/PupvNpn377bc2mUzsz3/+c2jc/BV8yM0Lj5eZWbXOWNZttVrVCV4vdnmq/JJ0oLu6rpnmRzpriv4q78OpseFwWBmy9AI+TyZhXKO6tE38jTyRbJzCOdJlSuovAeUleJaTG6L67ose3QUimcIsvWHtyUo8J6L5qf1XStt1fnunKKP54I2JFw44kiUjWSI1N7x6tQzvWYo2MH9mJxN1oHkK4M0d7kfYvmDzgg4AHrpcLiv60+127eTkxK6vr63dbttqtbL5fF7RYq++pwCPtd4f1cM8Mhjx//vqmJywqzhFBChauKqwlzDWOm0FY8UumNlHAgWFv9vt2mQysVevXtmzZ8+s1+tZo9HY2j0CEYbw4nncKV4lAkOuX/DO88jCf12sKuhz/cps0JbhcLjlVVeHiaC8FKFEWeptrKBKPzM4xT0l4PCYAzeOPeXVGxkUAJ5nI/JGfQUBD23ncfGOSypOUVv5OX+8vkitR57fnCdiNOgfT1HVdkSbWhiP1BrW8ngOpOaNhxvX74GGxuFNmXa7bScnJ7bZbOzNmzdVSAcP3+g3hAg9lcLzwmtLqlwvbQQpwSei4ykjQ0k9Kdrhlf0UBY0cNBqNKnRVyoOtDjxGP5Qa3tgArt5tKb6htJyfqzKDjWzetEUaGLH7/f6WR6UCjwXCLJyfn9tisbDz8/PqWCV4kQrLpfFftY0elChlkbKlNNPLh1BjHt/UOIu8aefVH8khkVLK71mO0w0GPVXFdDySXVN8VmUC3cyJjvGn5KzofY63p/D1ykmVlRtrXUO7yvvK45WvRnM26j/9rfJKHTwjfuTND513d4krinKwWTcYDKrTJ6jnqcYtZdnbu5iZ+ycKo1cXMF9wzxFCMD62h6HCYDCww8PDJ385abTOmN6Cpns0GV7ZpbpbxHNyOO4ij6pMmaoPbYXzwXK5rE3To+dem3ehoaU0KgWePlcnPfO/OrArz3gI0DHxeIhHt1T20fdRPVq+l8eTfVJ8eJcxYv7r8Zgcvdb5Vypr5tLm0jDecOCDo8QufCUnX9wnwHkW+OuF85BrZ7PZlj4yGAyqTWu90L6ODvwQcFe5sS48msE8MkrpYq5DQEsMIiklEIyNFSY99qfl8KLnCaUKneIXKeBRe5S4aPxVCJjL5dJarZYdHBzYixcv7H/5X/6XSgBEjCMWWDjUCF8go95QUT+q93OOYXK/eAoq/vNFncCNx4M/Xl+22207OjqqvGwixuM957H3YjOz0oxv7T/tJ8aLFU0YZ7QPtAyUD68LEEL2VPCEUg0jw8wrFw5Ax5Lx480VNSywMMxhYxQ8YVXHWMcqMuJ580C9R1Nl8XxmZc3rAy5fwyBxvXXoFhv3WWnmfmBFNyXQaPs4Fjourf36669tMBjYxcWFvX79eit+WUSzeAx1bXBdeB8Jb0ozGaJ+q6NYaB2aP8VkI6ZfKgyUCLdPGXAkfTKZ1JrDKSjpixTvu2u9ER9iQzk2u6Cgg79yCBPkY/rGeDMdR5tQFq9bXMbXaDSs1+tt8WClA1wO6l+tVrZareynn37a8iy/vr6uaDkunx6Px1VIBjPb4hdeX2m9qfFPCdApWYlpmpdfjdBcX8TvU+s9hZO+5/nAG6DMm7ROHjOPpyjdwwaK0nkul+Nmo966a0L7Relxrr+8NmnbvPHw2uzlY/kgkuXuCh5dQT0eH4j6w+O7pXXj2/O489YG16f56gDywLB6cHBQHddGf0POfkr8CrjAWL3ZbCpFHoZHrEPgH9EFr9wUgCYjfvpTNJhPp1P74osv3Hc5/WsfkOvnFDB94/L0vh6MA+6PMvNjl2u5Hl+O8MVzdXTx6LKXr1SmBE7g9TBQaXuidjFeqbbnZGePFnsyubbNe++l2QVK55LX158TeDwn4js657xx8sqP3nN+1W11zUQy0i4yPOptNv24/bkydcyxLlOOcDm5pDSN2ae765bL5ZbR+CmCRxsgx4LfwylnNBpZq9Wy1Wpl6/XaFouFtdvt6sJr8L31em2Xl5eVbqFy6GP1hc7Vh6QHD24wzzUuRfA1XW5B1xHkvfQpYTtVR1RfRPhSiqemhUKMMBAgHjjq1ev1bDwe2+9//3s7Ojqyfr9vjUajCtvBBlIYkiOFyCNMnhKYGlNtm6cQeGmUgeQUYSaoyKMXFGo9zDxYgGNGEinA3H41lEdMMRI6+MPPvTaa2dbOH79rNBpbx/qVGSpR1eN/OWWRDaaKN9/OnFqbkaIK4u4ZJLy+83CMFKRozXEfqILqGfh1rNXzRedwZDhP4art5d/R/FGaxPNXj8cxrv1+37766qtKiL+8vLT1eh2OkdYDD3NOD0OPnszIrV8PcuvBg2jeeYpHKc9IQUrp+Byh0WjYwcGBjcfj2gLzPiA1P3YZm0iRBM1qNpt2dXW1xStgwIbBXN9F9CwloKNMKA8AbHh7AqAaz2G8OTs7s+Vyae/fv7fVarW1uYzN8dFoVN2xobTakzdS9Eb7rY7ylCojxeO8PJymDo+NcNN1y8ZyNsQxzuxZHgnuJQI85+M5xc883sLpSuTQFK3zcI14f7SGOE1U7r5ohyfD8HOFCC8to2S8WP7Jybycp1SGSfEzri8af65T82PO9vv96hTq5eWlbTabWxszT413gU4DV6bHGqIqd0GbRxs82Qk0FAZbeAR/DvAQeJbMfS8d62QAPd2FdOBl3W63Nj01S/NiD1K8EXh6ehuf6ALeEWDOYgNLQ3nm6Eo0f6O8Hr1J6WVRfV6dEXj0OcK9Lng44Pvbb7+1//Sf/lOIX0oHjOhyKc6MC5dxcnKyVVckH3j0KKXreXlTMlXEM/Ep4Yd1x4/bqmGPPDwj+SGSX7zxjNJ7ZXmylabFmu50OlV4sLpwn/Q4N480DesJrNtgPBaLxRZfheMNQkmyjUYN6CV60K7titpZV4bbBzyKh3mqY0s73VvkKaUhepYSVL383iLL4WkWx1TkdN4OuuLHnuVYyBCCN5uNTSYTOzw8tL/7u7+zfr9v/X6/EpChhEFxV+OqV1+kXOp7b1JrX7HnWJRG+10Jm6cwsMLLzzyDuYLutnK7WADabLbDkGg6rz9KhZlIGAOoQYWPyQBHvNc2R0fVudyoXgZ9pwImCHGuDA8PgHrLe8fdtSw1YOlY61jxb4wpmHo0vziPehMiHa9f4KV1cT38zpvLHtNPCfvcT1wOmJ/GYru5uakM5tfX1/bTTz/ZZvPpQqKUkMV9y+Ou/eMJOV47+dtrF//X9ZQTeiOoS79TQuRDMeuHgGazuWUwzwm2Zvn2lwh2JXlT5aTyenR4s9kOofThw4etk1beh/Nz7Oko3InSMq8/2WDltZfp23q9ttVqZe/evbP5fG7v37+vjOjg691u14bDoQ2Hw8pA5m2W5cDDqa4g7K3TlJKivCpSALlcVYbqrEVNy0oBfivN4zH15lUJTVAezG1VucPrj5Jx4PI8ZcbDV8uP2sx15NoXQWpdR2k9mT8C5lG5sYnK9+SdKK1Xt/dM+1nHOiVLqjzMuKTmBOQcxGRF6CYovSrD7IM37hM4njk2MkHvIH+wAs+47YJvt9utQlnpHR6/wm7A+gl+swFGN6PYYM5llNRjVn9u8tz3eIk60bChn53QInnU7JNTFtp0eXl5q38iOVP5pcrCddpZyptyEMkFKfrhyUBeXqXDkeyH57/5zW/sm2++uTMtKtVfAZ7sAtlSdUKk5/nvlZuTcz15RPVxxinH+/HOm0t1ZL6o77mPPPk4B6rXaj7PrlQHv6g+2FIQmgU2tn1Bbi2UQm7+APikFE4SYx5eXV3Zcrms7IKdTqfaOG42m9V8Xq/Xld6EfIpH3flz1zV73/IHw4MazFPKTR1lTvNEBADPdlH4PIUutRCjSYvnufjGqph5xAzGcuy639zc2Gq1sg8fPlTxSv/xH//RptNpdXwRnues+PNFZh6+EZH3+kDx9Po9+lbFAf2k3saMqzfWHr5avr5n4SjHwHlu6hF74Ke45YiG9pWmhdAYtQW4cDr2GFcje3T8LydAeXijPBYi2fAcretorqihPFJovWcqMNRZ68poVQBlQTjyFue68dG56wkskUCoSjG3AwIHhwLi/ojmnCdYI3xDu922Z8+e2X/8j//R/vSnP9nf/va3iil67dSyoXjzXQoQMlgpTykwJbSF//PzKI0aKFLlavuiukqg7hx8KtBofPQsn0wmdnx8XIVk8dLts06GXfsrNZ66lpS/gQaArrNnOdMHXg+6lpTmqYIAWq3rRvHy2tJofDwd9uHDB3v//r3N5/PKwxy8HettMBjYcDisjlwyTUoZkrz+5H7z+Ku3Vvh3jgfmeKbiEuEe8a+cMqLrm0Oc8SYD3uvF0XwRZAl988bA6x+l7bwxo+VF/aJKKaf36lZZDem8MQNf5LnrncaKIIWPJwOjvlT7UjyT69R2M0QymIe/1uHhnCpf54zyKu4H3YCGHpGaQ17b8d3pdOzg4KCSsXHk2qNPqXKj/rkPQP186gO0Gu9Bszn2aiTbp8YX0Ol07Ntvv7WffvrJ3rx58yQufRuNRjadTm08Hj82KsXA9FNPu3phDjCWfPdUjmcpP95FZvNoLNcNg5lupPIGQKS76Drn+0owV9kJLtI1vP+aTuvbpS/qpqlbRySTp3h5KY65NpfI5pHsEOGh/MyT65iW6zuv7arPap0luClfRDo9EQ8Z0ttcLq1L+0PTc9+UyKNef0RzJFeGl4fnQW7u8QZXxFOeCuTWImjOZvPRo7zValWOtdPpdIvOrVarLTrHJ29ZvwcNU767L104t6ZxOv4hePSDG8zvQszrlF9CeAGliliOiKQWbq7M1KLFeyj1HGYB8YX6/b6NRiN79eqVjcfj6hjF1dXVrbx6LC7CVxmxtsXrF48ARcoZLyzuAzbGahmpoz2e4KALN1W/9rdXB5fhhUTRdCmBXXFnJd1TID3G5BnLvfy6NjQ0QGr+KnjHKNm45AnBXj3oWyV0ijeeaRoug3+n1hCnUQHHw8E7/st1aV60H+OZYhip+aG4en0TCa48ztyPPG/5dMJ4PLZ2u23v3r2rlMOUwZwBYw0DHQD9pfE/lVZEddSh3/sGj+4BFL9oniPNUxauFBDzGuE87gty6/Ou5aSABXbOr5tj3ukR/GZF3qMpwE3pt4cLG0Y9eg/6uF6vbT6f22w2s8ViUYViAY1qt9uVVyQ8y5lG5fh2KY3hNB599nhhVKeecIroVyQ/eOV7OEbA5bDnrcePotNYdeRYnXueB5jHzzyeleIdEb/Fey+PGrO0PJYzvD5QKB0jlf/0W+vU8vRUYaqe3DipjKT4Re2oS+O9eeS94//8HfVXCj/kg/y/XC6t3W5Xx8xZvn6KPAt0EM4/m83mVhgMpdfIlyozglarZScnJxWNfQrQ6/Xs8PBw606Kpww8P5mnmvlGagDk7ehUllcHft9FJlBdhnEFX2AHND6lnaub1yw2AzCnr66uKkc4vuTUa2eqvV79TPdK+vEx134d+e8+8EzxTQaVfbz83u/Seax5vXpSehI/9+r0PLL1pLAHdWipzkstl+0PKXlG5WEtq1T+ys2XVBk4yZST50th32stt+71PWSmy8tL63Q6NhqNqtjliGkO/QKATQOEcW6325U8wXZGlJ9yDmEcFddd2rxarWyxWNRy3NgVHtRgrhNEFaOSPHXKj+pSyBErT5Hz0nvtqMOsIoWRL3sEoVmv15VnyHA4tH/8x3+0o6Mjm0wm1m63bbVaVWUhL7wwor72LoNI9RX3QeTl3WhsG5Y5j6eY4dn19bVdXV3ZarWqdrQgVHBaVpjUq1eNnCwI6TOvTd54g7FEefjbK5/7Ffhz/ygT8/ovwosFuaivWbhjBUOZkI5ppKCiDD3OyEYH9ZjQftL6UCYbqtEXLNRyH3kfT2nK0Rleb9pfOka6bjncCcrEPMYc5vZ6QpXWlaqP+x71ev0AwV43eMA0m82mjUYj+/LLL63T6di//uu/2tnZ2daR7YhGc9tvbm62LiHm9ynmmGLu3rOcsMrPSsZe35eWHf0vEZCfGjQaDTs8PLTj42P38mJNq7BP4W+fQqnHq5mGq3KOdNEmHtMmvsAZZWkenatM8725yWsY/xeLReVZfnFxUZ0qg6F8NBpZr9ezg4OD6kJJPULu9UOkeHj0SdNon4DOeG3V8dCN3Wi9KN+K+K7XNo9ea3qUzxd8op7ImK88k3lfRCe5Hm6Td7F0brPZ+/b4Z12I6HWOZ0frNOJZmoafc5/r3IqAjwfrHPbqzZWXA6YhOie9eei9Yzx43Ep0BD1llsLRwwn/h8NhRedxWoXHEwY9lbseE4DDer2u+h00EM5DCOUBOohj9NyO1DgBoFeNRiMbDod2eXm5FULjMeEpjEUpqC5m9snRy+OBjUaj8njUzTkFjz6n0qRkRG89Ma1jHdrMti4H93Qbrlt5BeoaDAZb7Y4cnjzco+epdym656WtO88imlsnrydjlOQDRGFIovT8LNWnCh5dTek4Xrmptnn8wkuj8pvKJ/qO8eDnkY7u4e61NwXRvECoj5K8Wrf+LqkPwO2M5jn3H4zE0N8fwjC7C0Rj5smNm82mosHv3r2r7jpst9t2eHhYXfrJnuOwO6IMfOB1DtoGD3V1QNkH3/Lkt4uLCzs/P3+Qy7kfLYa5twBL0qYgWiildUVl5ghbaoGWCGcRk8DkYM9wMF1M4l6vZ8Ph0E5OTuzo6OjWok4pgYy/Kqc6MVNjoHn1XQloOiw43OC7Wq0qQZhxwwaCJ3hx2cpIPVw98BS+FOPz+kLr9JSlEsId4caMS4/75tqWGztdO5GirO88ZdhTur26lPmr4JnqCxU26xBpFSxKhRb+zXWykpY60YG6c3VEeHH+VBmeoQqhBdrtto3HY7u+vrbvv//eZrNZ8SVa3FYvjTcfSqEOPbkPRTJFs39OAEV1MBjsNE5RmRHk+q907XrzPldvjs+psRkABZnXdUqgT9Xv4RHRVGwcr1Yru7y83DrV0Wq1qli73oZcHaWsLnD/eQqXRz85XcpzWJ+l5MNdAX2km8B8ysDjgZw3+q88iz+pk11RKAzlhV4/cJpIRqnLEzU/g1fHXeiirl/1HPbSet5yER452c8bOw9y+oTKNyVjl1uvJbQtBYwz+L3ZR8+xq6urrVikWl+qT708+54XDLx+oCDD2w11cX28hiOapOUDECKj0+k8iDKeA97cfUqQk1319IrSXE3Pceq5/LoyZKTrKt6p8rltbPT3LvnUOcbrxtNv+M4Uxq9knqZgV1l7X5CaD6X5vXHI0WVNx+Od0xv5/y60KkXzc+VF41VHdovS1pkLu4xXtHYifn0XiObVLvNNZQFvnrCMwZ+7wj55YWk6nYf4DyN4o9GovMRx0sXsI49ttVqVETySc/miULPbJwg8XWlfwJeY3zc8iMHcE/Z0caUE/Bzh8xTNqN5cXi9t5OEbpeOySgbRY5KNxqejW9jh2mw+Grjg+dlsNu33v/+9PX/+3F6+fGm9Xq/yFDH75H2h8Vi99nP9YOAeIVJmFPWfpyB6BjsugxfY+fm5zWYz++677+zm5sb+9re/2Wg0spcvX9p4PLbDw8NK8Oe4cpvNp/AQOE7J3ijsCQ2cIrwBEFT1udeXGCO9KE6NBF68PB4HfuYxR7znOtnLio/2QSjTvo7ao4KtKvGcx/NqU9z1iA5wAniedqg7ajvXo33Bc1oFLSX2+O9tKOn4Rl6h+O52u1ve3tyHULgY3xK8U7QzYkRaDurF2lB6Ctxw2eNisbDhcGh/+tOfbLFY3MJBy+c+Rj9i/vEN29qnXttKBV6Pru5LYCuh2TnazmP7VD0SGBqNhh0dHdnJyUnx5k4OImHd4yspulqnTgZPsGaPN46TijWKo4hYKxySSU9oMV1nHCP8Qad5I4r7Wr1V4eXx/v17e/v2rS0Wi8q7st1u22AwsF6vZ5PJpGoXe69HQmokhynuOZlMlQhvvaohXWm/9g/nLZHfFLfUGCign7A+YXhj2ov/8FRl2QplAHhuafleqBfgWSonKk4qJ3i0lfN5oHkgI/EzbzMkNTe4XG+tp8DzKvXq4vZzf3snGuoClx212TvNlSpLn3FbVBZWHqi/Qcei8EE5wEnEVqtlBwcH1ul0bLP5eNoMHmQsR/IcTs3T6N0utDsFoKMs9+IEH0JUYl4Af2w0lhq+m82mDQYDG41GNhqNqpM+jwmTycS+/fbbypjxVMCbc7w2ObQKvA5VDjezak7yZZ9MH1N8y4NI/uD3uTUHUE95pU1KG7g85gOeXK+0Smlo9EzbofQqVc5dwStf/7P+xrSLIWqX8kVvvvB/lVsi2dLjT17aXP/l+tGj8al8oOlRfV65/D/qZ5ZvWEfzeHiKr/N/LjMnq0e0QX9H5eTWvDf30caUTMj9leNPqct6PxeI5rOZVfHKX79+vbUpy6dqcC9So/ExesBisbDr6+sqRBVHN+BLQ2GQv7m5qYza3inKFK2O1k5Op7gPeBKcNzVp7yJs5RjmXco1q0c0S9JzOt3VYqEVoQ86nY5Np1M7PDzcCoUA4qsCSwmedfqLBZlIMUgthhTRXq/XVWwiLEzEXLq6uqqMcXyLujJXVmo8xuv1gQpRypRzCgOnL2GUnmKrxts6ymfEKLUPSgQwz6iueOvajYz8EdPKre/ceHnE0qvL+6/gtamE/jDDZgMSK7M8H716SxiGh48q3J7ArG1TA4iZVTQFSvR6vbbvv/8+vABUcWEhmesHTapz8kHLvAsPMNufkmBWxlPqKnaPDRCMBoNBdTTPLK14mJUrrSVQQgv2BUqbzT4ZYWBQgWKPd3xCBmV4EClnTFOj0BnMS3G0kT3LcYQShnt4lfPld8q3SvrBW2cRndH+S9FfL22uzyK8I2HZS1eXxtSRf/R0QYonR+NRKj+WtqWUf6TKS+GiY++1ZR+yds444NElb07WwaUu3y2VIbw66s7LEmNDRKsjXFVuwuVdcDzBxpBXb0pmfAwAncQpOU8mxDeH9iulj3zyTj3wHwNwmugxoWQOsIypJ3VyOsUunpw5fUjXzC7zV+kMyi7RB7ntXJ6u3V3oqqfj1OmP1LPSOkuhDi/z8kX5+T33ZelYl/KLUpkjkilU3sqtpRT9r8OHIp7B+OrvOrw8Ki+l66bK2Ze+p/zbq7tOf4JHPqSusk/w7AOst8PTHMZydpyF067S9eiUKOYZeCjbLrHJrRuLDHVlyYfSsx/EYF5HgPWUETxPpUc9ml6JgSdoRzjjvVeWly/nHRMpkvq+2+1as9msJik8I7BTs9ls7JtvvrEvvvjCfvvb39pkMqkMzGgjvCtwTDti9PybPQE8vBiUaHix0fVGca5fvY5R/3q9tvV6befn53Z2dmaz2aw6ctFsNu0vf/mLDYfDKt7u0dGRHR4e2nA4vDWmm82nONibzWYrlpKOBfeHdyM6Fro3hmgHiKlerMptjzyCNptPHo16IoDnAOfjvuWx43qAG4ghEzseX24/C7U6R/Gfb3nnsYTxBvh5ZXFIAfSX4sJCJhNW3kjgdvCuZY6ZaYzmSNhJCcS6PpgBRac5MF5QIHjuKOgxVuTn+jGvta897zdPeIAnLfLAIPfy5Ut79uyZnZ+f25s3b+zHH3+slFKvzaysYo3oZanMLLVfo/5WpaGEh9QR+CJhqUQJKmHyqfnzlGAymdhkMrHT01N79uzZrXGOBMQS/qzpOG2dvinlSykcVHFRuozxajab1VHEfr9fbU6z9wXTHV2n3rfGAkR52hdYh5eXl3Z+fm7v37+vYpeDpvd6veoCOPWQL+kTby3pZp6+B72J6IrS7Yj2eOOi68Q7beXhpOV4bYvoidmnMee5pZ60zDNVZuG5EMmJ6FuU5cmjnlzKfaJ8z+PNSOPVr3h5c0T56M3NzS3liOtWPpmjtyl5i/uZ68B815MX2n/aR7k1UEqXU+2K5rmerNP28ceTQ731pOPM8g/XU4ffIF2v17NOp2Pr9dra7XbloQ1ZE/OAxz/naf5QgDkCueL6+rraRMRztKPX61VtgXyPMlIwHA7tP/yH/2B//vOf7bvvvrv3Nn3uwPoB6zEcSx7pFDqdjvV6vep0Yu5kXkrGVRrj1eetGY93ePzHo19cF+tGevoXej3S6wlb1iE8OqFt4N8e/fPk0rtAiiZ66TycUjhom3ehbRGOHh1N4RCl8/QMnt94H3mNp2StkhOennzmlVUif+Gb26tOlrn+rAOcxzuFm+LhkZzoyUvsSMKnnBWXSC5S+aLf71f1lvJAb548FkTjqX0HvtloNKq7EN+/f1856bBeNBwOK7kY93zATsmnzM1sy+OcL1DWNVOnr3Lze9/waJd+lhKrUuJXIrRHwnZJ+rqDUoqTR0jVK5yVbfYsPz4+vhW3FMRCDbZaVw73HKQEek/Z9JiEEvlGo1Edi8fCYyODeudtNpvKEGxm1u/3KyMiA3uFcV4WTPCf68kpnp4AZXb7GHrUx6jfmwMR01ChSJU0jTOlQqPHUJFGFS9PmeW+8sZW+ygiglH/RISc2wBczezWeHtjpsKs13aF6HmJ8KHj5wlV3txP4RDNBa7PKy+ao5qP5z9ox+Hhod3c3Nj79+/dGGFRX7IApJsiKhyl2ufhmYM6dLqkf+uWl+rvpwowiETxUVPjnlrnqbV1V0Hb++/Vk0rL9N7sU0gHNYizQKcKRlSfpvU2XDkPG3hwU/1sNrP5fG6Xl5eVUs2e5WwgrDt/vbnv0Uf91o/XF/o+ghSNLZH7UmV4aRlX/qhMwfxfwx94wj3fL+N9FJdcu6P/Wk7pGsqt35TyVFJHiRwd8XEvv46LpknJDZBJUoY51FGCu673P/3pT3Z+fr5Vr9bNeb2wBHXq1Dq8dC9evLCTk5Nb71PyDfKD1kGZRQiTSI7Udf8UgOkrb+yrbGu2HZouFVYA0Gg0tk7xPAY0Gp8M0I8NJfQ20mFyeeHkVUc2KF1TCin6HNEXjzan1qV6U6oREg5WXCfTPvCWSB/08Gec8HtXeeshoUSWqkNv9kWbcn2ntBqQ41G5tCnI0fUoveqk/Ezf5/hjTq+sg1uuvAg82cWTTxuNRtIznNOl9GwNs1uCp8rnn+s6hDOd2bZOjz6Hgy+cXnnDXekc03i273lrvFT+fKh+fTApIJrcgIiIpDoiJ0SnJr/i4OGTImw5BVXzp3DBd6/Xq47dYaHBgIyJd3R0ZM+fP7dvvvnGvv76a7u8vLTFYlHVrXHPIxwajdverak+1J1S71vr0pieWhcbW/FZLpf27t27KoY5PL1R9s3Njc3nc5vP5/bTTz9VeV68eGFfffVVdcQUdWw2my1vEs+7Gn0BRYGNJByzjkNteO2FwoGdNc/4xISW3+uRUk9I8JgZxhrjjqP7iGXv5WGjECt56qXNxBDjg7Zz//DcYK8KLkOZNc9NjC/jw2Pg9R0bubh/uD7k4T5mQDt4bFN9Ddw8IYnT6a659g/wZiajEDH2lICGtnI/an9pevQ1rwHM4d/+9rf27Nmzaj3O5/Otda1jy/hh/EGHwCQxh8BQI2XcGy8PIqGF6XqUr0TgSeWv8/xzgJI+iXhixAdSeb36S+vVZ95aTJWF9Qnaw2uV6TzoKspleqHexdoXfKoCXpu8Gd5oNCpBFBfvnZ+f23K5tLOzsyokGdYSvO/G47H1er1qfedObXiyTIlwyjSC+QSnZTpndvv0Th1QGssfT67KyXfKA1CO8ii+64THinkcjyPKub6+tqurq1sGNZYpGLRdnDYao1w/5SDiY57sojyf57eW5a3zaD5xOm+zmPMzLuhrvmCP2+3J/9zH+s7DU3UApNe2mn1UGv/bf/tv9r//7/+7PSX4X//X/9X+83/+z27oNG4LA7e72WxWNEXDPynN4/7PXQr+EKC0FvI+dCm0H441OL2LU0Qsh3jgrcuHhk6nY5PJxAaDwaPi4QGvGXwzj0sZQxTgYV5C1zxIycf8PzqREfFxTz5luVfpOT7r9bq6SM/MKr0Qa4r5Dvrs+vp6q8+Gw+GW7Kw8pWT9sXyeg0jviMotzaN0yMvLfacn3rxx9WibxxNK5ARvnSufiuaX98yzMSh+HnhzzoNUOV5eTxZSnDV/BF7duTyKk/a/nirkeaB1p+R+lo3UvuI5TmqdXvvwHBEbvPtrUhDx4McEluG89mofw7ANejabzSr7xWAwsMlkYsPh0AaDgS0WC7u8vLTZbFZFjGg0GpWtA2HFwKtBJ5nueaC0lz+6GXlf8KCXfgJ0gubSe7DrBNR6I+HZqytFgOvipcQVR0jYU4mZJybndDq1ly9f2mAwyB75jIQ9ZfKptEy8NL9XL/cTM+qIYejCRPgVCOPRkR0z27qQ4ODg4NbN6hGjUyOrCkkQ+jzFVtuHdyDOnne5zivtD0/ohLCJMs3sFk7cHg43w3k8gSIaZ8VFiRDaoUo0MyLvJIDXvx5u0brkOlNCrTePo/WoYxvhEdEiT+BiyOXjcWNlNJVHx0jr0j6JjqCZbR/BxzPdhOh2uzYajezk5MTa7fbWuvTqU5xVKcD3ZrPt4aVllAqVJWlKFYVfMiAcC04r1YE6AndKucH/Onw9p4ik5mWj8SmkFYcyYUFd1yrWqyr03mYyhEz2fOS1BsETsdJXq5Wt12ubzWZV3HK+P6DR+GjsgdEc+Jf0awl4/ClFc0sVu1yd3vr0aEGOpuvc8fgWj61+dMPa2whRHFXpKF0LOTlSZUOPf6pM4+XVclA3lxcppN5H6/PkFk+eTtH21LzBmES83oMUPSipMwfYJHlKALrihbHI0VMeQxy1NjNbLpdmZltypZblyeYPDTq/gAtoOsvOZrYlU/Mz0Hstr9ls2nA4rC7/hHL/kIBxeUqXfUZ0jfuV+WhqHoK+sId5jr94OmWKD3oyfor+Ms3L0QuvfpXZ9beZryuyjIxywJ+07JTegrJK+bNX1l3opOaPcNU+y82VXXDQ/tXfkfyB/OqAl2uH9nudfiyZczm5t05dLBdpHVrXLpCaByWyUWptaR6vrJJxKO1LrE3Q4dILpHN4PibsstbYvoDwkfP5fCsSxmaz2fI4V52KdQxsYsNxiO1ZKdjHGqgL986BU8QoSl+6SFOCWskC8fCIBHT+TikISjg9Aq3p4CGMiQPvDtzs/uHDB2u32zaZTOyLL76wv/u7vzMz27pxHIKGerBFyh4bNUu80bWf1APbU7gBagz0cIPQCo95tI1v5mUG2Gg0bDgc2ng8ttPTU3v+/HnVDhbyVdlkwZjxYc84/AdB0D5RRZIVFg2nw2PtCXnebxaakNfzUkZ7oBzwmOJoLSv1Ud+jPgZs0PBYe2OpR13VsMReap4yp+vNY4aNRmPLO4OfcxvVI05PAvA8Bp7cduCYEtI9uqV9gjkTCfIYQ6Z13W43VAI8gwM/47A06hUWrU/+5n5iI1K/37dut2vffvutvXnzxt68eVN5n0V0Bc8x1uv1euvECxvOsausfR3RX66HIcKF++8xmOvnAI1Gw7744gv75ptvKmNJCu6izKSEYDyP1pi3BrwytTyvXKx73owG8H0XvEEJmnZ1dbUVn9+TF5gGwiuZafNms6mESGyKz2Yzu7y8tLOzM1uv17ZcLrfwazabldGG74+I1kI0z3Pjh7WZkyG8vt91beVoXWmdKdmRaSLGgseFZQWML9NPrUPprJlVNNyrW2l7NG9VXkjJEvgPfhN593MZeiJMjRQsf6icw/0fjUkqHfdh1E+MC9rj8QP0qdbjeZhr3hReKSU+tRYeE1h+Vbrg0UoGli8bjYaNx2Nrt9uVDM6Kq57C8cY6R+PvA1QeZdluMBhUsiz0C8gjMH6wEVzpR7vdtqOjI5vNZnZ8fFzdK/GQ0G637eDg4NEv/IyA6Sa8MMHXVG+L8mMs9ALrknqjd/qfaQDz4qgMpSUqS3K5SqM93YL5iuKEvLyuWGZQPqR4lYKWkeKx0fMcTUm90/ZG/6M6UuOamguR/hPxFn52V7mGf5eMlScTRHm9cr356eVTupnj7XVA53hKto/whj7qlevl0by8jtgG4fVVJDcwQOYHHb68vAzTptr2WFBnvfOY6VxhOQ1y9HK5tF6vZ91ut7IbDAYDazQatlgsqjTQfcCD2+12db/IZrOx5XJ5675GBsUnp6PsGx7cwzy3aAAp4hD917w5Jbu07lLls1SxQFosYj7Sy4ocX6A3nU6rEAm4rVe9eFWQ1TrxOxKoo3ZxOhYaWCDIjVckJOhkx44VhC2+GABCR6/Xs9FoZM+ePbOTkxM7Ojqybre7JQhpezxFWxkG46mGdY+YKpFNebh7TNB7zoxF1w2M4OrZs9lstoRTxZG/WdFWwsdzCEdnUDbPR4+QqQEBzEWPqutRO6+PPMbJeKA9PP+4fF3/3uVhaA8f203Ny0hJ9/J6HvZe32v/MU3QeRTRJA8f77emZUUZAoUeWUO/HR0dWbPZtNPTU5vNZvbmzZut8lNCro4X46KbYYpbRKfrMsdondVRNH6OAKEFl0iWHoWu22/e/N8VdhWMlJaDz3qexWbb83Wz2dzyQlfFntNyPHI+ZdFoNCrjJgwK2IC6uLioLu7mkCCbzcdQLBBC2XuP2wb86yg4qswoTfXmQ0620mclSl6JwpurL1cPG9LUiKM8UOvl/GrQwHiDfiofUBxVFlFaH71jnCI+orwCfNgbW8/gr3KkHmv2aHQEEX3VuebJI1H5qfnBOKbqT5Xn8dwIv6cInlxoZrfaosDPIEfD0Mx0iNNjregYemU+BqD+q6urrTkMJxDeqIczBjsgKf4Ii7Jerx/cYA7YlffdByjvYO9wprNIa5aW5/gC5dQc9XSEuuDxkkhHi3hUihaBvrFswOUrX/XWqdLtSDb26F2qn1lW8XQFfu/1F6fZZY17vCtHQ1LzJ9VW/nhyUzTmTEdzND+SXbxxz0HJOilNW3eMUjhqGSl5j+uO0np9Guln0bxOrVceE5XbVN5KtTkaU1wq/XPXIT3ZMkq32Wy2vMNXq1UVFs3s0ykpyMtm27ZOjA+M7p1OxzabzS2nFpbRdY0/BNyrwTxaNN5EKyX2+O2VrQwuNaHrCtNeXo+A4XfumCKIOASNdrtdTQrenccCnUwm9tvf/rbyAPEUHWaw2h/cF5iAEBQ9pU0nIX6r8dGrS9vJi80TVvg3QrKgD2Aw5/4aDof27Nkz++qrr+zVq1c2GAys0+lUsd51rBQv7iNuF88db/zUE437M7VZwXXlGHzqmXpxo25m7Don2BsSz9grXYkQ0mJjAmk5PFBqw4X7B14jasTGbxViPAKI38CXvemUCWrfoAzOw32g4RV4zHWMVaCL6I7Zp9MS3prk9PzBWs/RSm/+cVqFiE7qO+1Hxun4+Nh6vZ69ePHCWq1WZTDXOjyazpt+6AvkYY8b7vtISfHoUk5hqCMk/dKAjeWRd6zCffZfxD92zYv8npIJOsFe4rreeW6qMYXnk85d0Mqrq6vqPfg8bwRfX1/bYrGw9Xpt5+fnW5vFTJ9xGz3iJ6oiF/VbikZpWvAvPWmlfezRHKVFuwqvKRnBwyWqS4V7pmeeRznSqGKl9Hmz2WwZQngjXzerPV7B5TG/1Xdmt73FIwVOjfxaDupgWot8nsygxnIP92i8dB1F84D5gOKtclduLqXe63rWcU/NN6TTMX2KoGskksm8daGAk2CIl71arczstnwM/s31PaX+AS4IfQV8IY/CkM7PmXYrIBzmbDZ76KaY2dMylnsAWZ/ppRe+LMrrncyNQPXGiAd46VMyhn5H/DVaZ3jGm5KqX/NvL8QmQDfu69Ahbbuu231Aiv/mQGkxnuXa6fHXSA9S3Yv5Kef1+ACPiWc0L+l/nXNal5ZzH+u7znhH/LAEx0j+K5U/ozI9HKI0XIfqhJC/eUMuhUukRwI6nc6tsFz3Jf/eBbS8Uv2OZQVdZylai3uYLi8vqw1oxDhn3sv6EdYXnIHguAVZHWEpcdqN26Kfh4B7NZhHBI3fK9RV2lPMJgKvg0sWEOOXUuByZfHxMxwN3Gw21eRgb7bBYGBfffWVffHFF3Z0dGSNRqNKB6N3o/HJSyIy2rKShD5SAcUj6CnhIRJcUoQVdXv9AkELnn/YKIC3c7fbtclkYtPp1E5PT6uLBsw+hafhethoqTioIugZQxQ37jsuR4+wpwiLpyhGDFuFCE8QQFoV9IETn1zgNkTCB+OyWCyqvHohg44l48J9jefs1Rdt6jCoV5NnpGcvURY+mVFqv3Kfc7zEiCZwXdwuLk/z4vgvH6NEGhUUuQ/QT543tidwax97eHvMTvFnT0JllGZW9fFXX31l3W7X3rx5U3nDorwUfcD8jGgTFC0YGDV/1O8MUf0RLfwVPvb7YDCwwWBg/X4/ydPuAnfp71xeb06U8jBejzo3QVvAazebTTVPOa9XNoQ7XHajhvfr62ubz+d2dXVlFxcXW0cQeVMSmxnj8dhGo1ElSKbaG/WJ9iPTb89AyuApIviOlCOuR+tWPhflKwHFyeNj6HP2ZjG7zWMwRin5hE+RYW7wRd/Kr72+U1lB+8KjpxG/iPpCZRLe6FZZsNH4ZFBQAw/3Uyn9VD6r+Hv96s2vEoh4qQKvwwgnfo4+ivjwUwJtL9qphl9di948Q/+A3qxWq62NP2+9shHiKfBWlWEajcat8G/wYGN8cYcUn2oFdLtdOz4+trOzswdvz2AwsC+++KIoZNpDAmgFdNhGo7F1X4fyyghwLJ9lUIZILsFvXbcpiGiDlqHr3qtTn3my52az2TLW5eiJ0ucIX68f9D3jymlK+yslb2s9UfkRqMNd6jSbAut13lrnOeltKKPeiJ4zXVP5LeKBnhzC+EDGBOTqZlDZRp95cBc+leLV3vrw8IyglD+oDsrPPL4dyVFcL5/iVg/xUtqBucXza1887755Z0q+8miJRzsYUnQExm7YpTQMGgzpKBsfyBpYHwh/A90JTrEsp89mMzs7OyuKe35XeJCQLHUmQoo55sr3iIknJHr1pHAuYQQRk48mGnZc2MuWPXmRrtvt2vPnz+3k5MRGo5FdXl7aarXaKtfboffwY6LBHyXsircekwPxj4h+qm9VmVXgxdBut63b7VYXew4GAzs+PrbJZFLFLO90OluXoykOHpPRhe4JPikizEovPyvpC69uT+nzFHcdKwYVtBhPM7sVR9dTMnkXXj3JUbbm9YRN7S9W3jD3IVx7AAGbhUbUrUI1n3jQelOKvo6h1q99rs+9PNwPvGY8oV7XAbzgFecUzSkVijw6qGUDXxUyMXbNZtOOj4/t6urKxuOxzWYzWy6XRYKGmd0y9HH5PEe99aBt1fFMrTGlNZES8ksE0FccgTNLb0Y8BfDmj/ee0+j7iO/oaRP2gtB1y+tE5xb40Xq93vK8gxB5dXVly+WyuiyHN8iZ7rVarWozo9vthsJ5bg2mlCo1lnv96tH0nMIX0VBOs8955cl5zCPYQ0W9uj0aEfFXPimD/5DleP54fMjMbvU1921Ur/a1joeXVutB29UTXuWElGzB7cpBHbk9R5Nza9oDXq/8LMVHPT6yS92PAZGO4/H8aJ3wOIDeIEQLPLW9Oj0ZMKr/ocCTP/GNNatGcb4EVPsFOki3233wtnQ6HTs8PNz7/Lvr3AbdYMcQyLIRfYrKgDEllTaHC76jeiMa5vEzjxbz8wg/b+5z+Z4+wX3n6VAlMk30LpcmR/MUv7uAJ/PjeU6/0fHw+optG1jjLFtp2bn+4jR8ojs1B7SfGadoTmneaLzr4Ktleml3AW77XejRrnOqpA88OZn7R9ehV0fqnZ5uv2tf3BfkaFRpGZ7ure1WfmlmVShKPsmLuxphQAfA9gndCX2ME29mH2VntY+afbygHJeO3jc8SEiW3DOF1IBGZfLgRbvZ3qBGDCRHECN8vPJ5wHGsmi9UhAcUKzOIW/7s2TP79ttvrd/vVxeBgeFAGY+O0KpSxjh7Shvv3HK7vEs070K8PQEdXgnD4bASDj98+GDT6dT6/b6dnJzYYDCww8ND63a7VXxt76gGytVdbMWFlVjudy8Nt0cvoGQPXa8+b9553u88RjyWqfkMwLzSC0CZiHB6r0zGTdOgL1gg4XaxMZ3HgA1OeI+8fMEe5iS3n4UhvjTSbDvMChtA2IjFXi88v3mTKmLc+lyFeU7PfaNleIqDthU4eUyd+0HL1w0MpjPappRQ7dXDeIPx4QKsf/qnf7LvvvvO/vjHP1bHsLwyFTAfIMwq8HFpryyvPV69uqZ0DEqO5f0SAPdAPIYRoARSgmjJ2EWKjW4am31af6CbuJgG7/iINJejG3ubzXa8cwiMODm1WCwqQznWDrcTm1O4p2M6nVZGq0iJjryzInmH+b9eCqxyg5c3xf9Tz3NrzhPGS5WRiE5jrFOXpjEvj+gH+ox5P2/q48J2NY5z+R7PSNF2ldO0Lxl4XL3wa9FGrJavcqHKAFqnypXe+HrzhuUGLYNB30VzT2XKnJwePfPgc+QTzNNLveBYjoAH9sHBQSVX4gPIzYfo2X1DJC+ArsPDUE/WYa7z5iRod7vdtuFwWH3gPfdQUEoH71K+Wbl+zvQQchufxkrRUwDzXjWY5/iLfkc0xJsD3IZUHfos4qn4DR6P9JgjkHdBWz3HIy4notOaJoVvSbtyc0rfKz9WHDUtviO9yMOthFZEfaH4smymIS85rTobqv7LthXw+OgEQDQ38A3HjLrzT9/vOgcYp5L5ENFSHkNPPtE83v9U2tQJixQeeO7JLrzuPHpX2ofe5cY5PeU+afd9QynviegZh0K8vLy09Xpdyc0ICzoej63X61XhmGezWfWNsjF+4DnQz2azmb1+/fpB+PGDXvp5n4JTCZHxoGRCp/AvbRMLGGCgfPxad+WbzaaNRiM7ODiwyWRijUajUny4PO+oV06JySm9mjdibhHh8cpg8P7jg9t1sXDgYQcP8/F4XLVZFcEUI/bqh9JbooyyIYEVSrPbFxpqXk/IUqU6YvoRKPPn4+DsOeMpvNGYego9/2cFnoW/FCPUo5mecKWGBU2Ld/ikhHHGRY0B6jmdmhuRUKjpNG2KzniCBfdrXfoY4eaNZUkbovkNIQ+GvJOTE5vP59bv9ysDdwkdxfioYqRrwVuDEd4KHh1k+uDV+0uFbrdrw+HQ3bx4CrCrkBkpdbk5xYI26CaEMAjFLBwz/2Y6y0ozFCwYx+FZDv7mnZxpNBqVQN7r9ZLrFqC8OKdslMoAd80TQZ21V8oTAR4NYBqrm8UpBU/z80Yx/vOFdymcUvxV0yiPS81f1Ku8meczvpUGKk+OeGJKPonoaqouLbPOfMjhuS+67o3H5wAsV+izVHp9hpii2OTWEzVmsRz0FMCTDVUW8E4Cou2gyZB/+DTWQxnLU/T2rsaYXWQg7iPdXNNQLFwP46ugdLUO/iVpUvpniezu1adrgB2U0CdsWEV+bzyj9VdSbwmU6CX3AaXllo5j9FudtQDM//BfHYM8fZT1RQ8H78R9NHc9WfSufR7xuLuWyd8lc5Tz7lK3J7NymSXzm+uO6H1KvvPyluANmpXyavbmyFOFnI6h+OucL9H7OQ87ucIJBZv0rVZrK/SKJ4NB7m40GlXc9IeAezOYp4RavNf0/DtiDCmGkRMsovI5TWoCRJPKI754ByETO+gwTlxfX1dKtCrcnU7HxuOx/dM//ZNNp9PKwwPHIllQUe9m3UVTAwBwUG90bQfKrmN4haDJ6byFhjxsKAUTOjo6sl6vZ5PJpDqiYWZ2fn5uHz58sIODg1uXlQJXbDp4Cia3hz8cioDbFQl+aB/ye/PYUwxL5ybSMmNPXa7kKYnAk9vDhN1L740pt4M3enju8O4h9wnPAzWuc/gRs0+XcbJXnfap9heIK8pgzxZui84T7T8Of8B1pYQmb17welPg+hkHLpvfcz9GAhf6lXHyLg7VcY0EdsafPRSZfsA76/Dw0NbrtV1eXtpf/vIX++6777b6LSfgc0zoVqtVGdyZcfLpiFI6z2lT67JU0fi5w3g8tmfPnlVx4p4K7EO4jMY44nlMm/AbNBjzEHMVPBS8G6do9OQM8oJ3w+OMPdCZ7qBObEoNBoPqotDI48bjcx4wrwWOkYymNC86qRXxWoWU8lOqtOTWLOdlrzKNqcvlcLtAb9j7i+cK5Dc+IorYuyhD26E4swFO6bHm0efcD165LGNye1LzJvpwPZHC4v2PxgPlMG9nI8Zdgfm+x1NTuHnPozWWmsdPDZSnK73DbwWVnYbDoW02G7u8vKzKi8IccN1Pta8wR0CzQbc9fQiX3rNMPhqNbDQabekm9wWtVssODg5sNBqF8zha26VQJy3LndhMMbOtE9JarkfX8B99ig1HThfxNI9mluIezUmUGcmO0bOcHgb5Fqd/OV1UJsDTgXQd1wHmN1E7PP1A8+T6AWOa03ejuqJyuW7tP8/ZiEMwec9vbm627pHjDW+cQFFHILa1qG6Uk1l13LifUvQ4Kofb771LQcm68XTNu8hndd7zWkrNCaYh/Byn6qCvqkOQyrcAlOW99+YcTiJFxtqfu67ptS03RzabT3cKrddrWywWdn5+bu/fv6+cZcFber2e9fv96mQu9Cisz+FweCsU4n3DvRjMSxdkjjDzJC0lJnWIQaqMVFklSiqXocSWhXtVSBqNRjVxptOpjcdjl8mwZ3mkWPFvFTRKhAJtoyf0MHFhZTMlxHlpgFOn09nyXI2O7Kpiye9KFHCvjQo6D0qMA1puJKhEgluk2Hr5NH2qn3JCdWrMMNc0dhfS8BF1ZTYpIS23xlLztZR5Ay9uYzQeJfNmFwZYR7DX9J5w7dHOUkHcy691p2jKZvPRoN7v9+3w8NDOzs6s1+ttecvmgOmGN3/VsHRXqEMPfgmgtPYhBY4SuI9x8pRifobnukGMb97YBs3jMAWbzacLIXkTD7HM+X4SNeoBQGcR5w9GBODPeGveFD1X/hXx/xQvqavYeeWknkV5IzyjtrNspYpXVK/Ha7R8lbfM7JY8F+GSm8+7KLA6Pp6XZtTuqI0Rva8L+1y/pWVFuEZzNiXHcZ6cLvBUQfUPM1/ujgBpYMzsdru3FNZc3qcKSusjmoj1zaG5cOrnIU5lYfOUN+kUSsdzX8C0UMNT7FrWXfiLB7us11LZuU7+HL9NwX3TmxIbiAcl8y3KW5Iv0ldz4OFVUh/PZ4DnQa7ADm1YB5FdA2V4bXsqtDI3rp7OyXk1LT+Pyq3b9jrlbDbbji78vETOzdXVaKSdTrjMpwwl+JXKp6WyEsul7BgHR0oOv8sbqt5aemi4F4N5aWNUcUwZ9bxdxGihapnewo0UzJwimatfFVV45Q4Gg+odlGj2/Ma7ZrNpr169spOTE3v27Jl1Oh27vLysdkQxgbBrDSOmhyOHejGzrbSpY8mqnAMv9cJgxRTARlMVgliAV88N/MeFAI3Gdgia8XhcXX7GY4L8MFgoY+LffFmAbmBwP2DcPIWT2wyPrui9Ku3on6jf+T+OgXJfAVJGae5f1MdjxeE12LM7Oj6InVRvLLk9PFc2m9teSMyMVNnw1pHOD207jEncbo0npoYE4MjG2ojhaR9HHnHc7ojh8vyO1p3+55jK+p7niPdOhXbGjcdNBTj1/tMy8Hy9XttoNLLf//73Vdk//PCDXVxc3OojnU86RzieOWKXs4LIDJXL9NaNCnSfq7HjvgGesYjHyobZXeFz6Gedl0wn8O76+npr4xcGcngTchth/AZfBe0BLcWGL+4A8Oaj0qrBYGDD4dBGo5GZpTeNUvQLZTI9QR2R4uP9Tyk9JQpRidKqdafmkZbHBhc+Fg/h22uf5+XcaHzy0OY+8jaTmG7qcW+PrqJN3nPNw/w06hvmjcAbSsVm8+nekOiCT/6tmwCoS2UnLiMaC2/cIjmb69HnURkef1M8uC+jdebh4tUJvq0y/VMHxdGbkx6PZmA61e12t+4VQno9vVC6bh+6DyOZjWXeDx8+bJ3QQL5Go1E5BKxWKxsOh/b8+fPKM+4+AfdYgRc8VL9F64v1AfA78LeIVvD68caBT66y3shl1Z07Ht31Tsp4Zek7pTdejHaml55OGZXtyUwqp2v5Udkp8MZTx0PlaNX3GBfFnfWfqP6U3OOl9fBXfDC3vHqZr2ndKf6w2Xw6bYzY/HwJMMsH+Ab9wHeEO/e7rimvLzxI9bG2z2ub9z9XNuMcrZnUWiqBnCxZB3g8GG/wLz3hp3jkZGp888mEfeD9uUMJffXyQL9CaBU4DbVaLRuNRtZutyv5o9ls2mKxsNlstiULPxTca0iWkjSljd1l8fHvHEGvi08pqALmGSeBX7P5Mcb5dDq1w8PDW8wXEyblWa7A7c6lTykiXrloD+ctXSwpxYnbCeMZYgdGZXH9Xt96ab26vf7yBAavHGaWvBmi9ZT0i8foPfAUFm+c0aeYZ7zZwoYeLpfzcfkRozGzLSWT3/G4ar9qOTqe+ox/M268OaBlaX7vW39rP+dw9fIobfHS1mEsHi4l46JtjIRvj7Zw+fhg/ozHYzs+Prbz83NbLpdZAx//xlpVoxRv9mi9OZrktU2fe+3+JQF7Mae81+rAPsp4DPCUCFbEPNqIdCx089wE7ceGL3ulR0pzo/FxIxFjorRsV1CaWWec6o5pil+VKGd3wY3pCW+yRXKGlsP8icPkRAYQz4CRolFevfzJ5cvxH5VFoo3ZFK/TMvYJu9AHT4ZQiPolx4NK+XKp7PyUwePj+F/CT6GXdDqdKn536WkyxqFEnr0P8Hg/P+MTQUivcw90ARvNkS6yb7xzoRDuAyIdjj3LwRujkE9algeenJlL7+VP1Zf7j2ceffTScd1M7xG+A/oVy7QlOpxCqbyegxz9ypVbgrvK2fcBUX+g3l3zIr9u7ETzJprrrI96/NfDhcvbV7/l5vc+yn8sPhjRB083ZnmQZW91CsyB114804vk9wGRjv+YUKe/IvBkS+bDvP74dC+chbE5wWGU2CnpoeBBQ7JEEy+XN2UgYkh5DOcmIN6XeLKXvjOzLeX35ubTTeLsCYv6+v2+DYdD++1vf2vHx8cVI4Yg54XGSAkrrARyPmWS6Dd+Fxmd+ZuNAdwPnpDnMWw1iLHxHUL6eDyudpo8LwSzT95z7P2ixFFx0TSeMqGCj7YXeTyvA03L/cq4R8fzIXgxHjyeOkaony8rAm4g7mgnE55ms1l5ZnP8Xp070Vhq//IcUwEy5d2YUubQLs9AwGuAd3vxP3eSQNsS0R9dK/id6gsdcz614NXBwCc1eGy9dnD7InqqTC9FI/nkwWbzKa4z58Xn9PTUptOpLRYLu7q6souLi60LsTxBBoDylZ7h2Dc8mRqNxi0lnQVNnVMqsOpc+lwNH/uCTqdTeZcPh8NfXH+woAbw6DqeI48nF6AcFvbYu5nXJ8rj00PMezudjk0mk2oTQ+exRy9TgPJZuPfaoG3zyo6eeXJBlIahVPaL8nDf44OTe5CvNK8axNgwjr7CRqAet2W6wgZ5Tx7y8Ob2eXxd5R+uU/uV6Z7SPo6p7+Gi89HjgSmZUsdA+4CfR3Voezid9z/Kr6e+SuYZr1Vth5fXzHcCeGrgrUV9z2kimUUB8luv17PBYFDNfZ5fyoe1n6J58ZCQqpsdmK6vr6uQK7xezT7qZwcHB/b8+XP7y1/+8iB4p9aj198pOrxL3Qw4/Qv5no3EXIfy1Qigi6h+kZqTHi3ItSFH07js6H/Un+D38/m8mkfQ41XHYJnVKzfilXUhor/RaalIb2H5waOZHk+K8C+lN14bUmOdqteTabQvmJfjGevB2kYOy6fyG75BRzwdK2oj9/ku86CEju+SNnrv0fhILtilLl6zOhdK2gL5gNcpdNoIPNkywrfRaNyKfb+PtftzgYhO63rVscQ6wv2OuHAcp9qHw6H1ej3bbDZ2dnZm5+fn1cn0h4B79TAvYVAesS5VpCKBncvynu8TorLZSMgGc45hqm0dj8c2nU6t3+/fuuxLmW9OYNCdNO/oLXBAuigUg5dPFbK6ggzqZhy4L5kBqdEzNR88AcnDXdMp81Jl1TPU806Y5gXunjLq4Y3vSBDx+oIFIB1HT8DzlGPOi3nCYx61XXH3/nsKr7fmI4ajgpqHu4ePps/RAY8BR0yZ36fmu7cecvPyrlCHznk46NjwvNN+ZC9wHNm+vLy0y8vLW6EAGLw2o08w90D3NIRS1H+lPCRFO35J0Ol0bDQa7c27/C7wWGPizX8W5ljA9ta/zj1Oq8oP0vK64HdYQ4hbDgNdRIM8Hq7vIlmBFQgPSmm88sccTStRKkrL8Hgqy0paHkB5W6TgKV/leryj/XXoLsZbN6JL+iX67W1map36O9rs1XHdBXQ+8hqPZKAUvjl5Lzdfcs9SeOh6fapQMlaRDJbS1bh/Ecqr0+ls3emg6eri9VQAuHqe5kynobTD2/6x2piqNzWmdUFplnqW7yrPsl5qlqYNHr3eRdf0yo3oZYrPMd/B/SToE09n17K9+iJ8cvjWBW/cVK/htIqn8iBP/ub0OVwYIh0xlSels+m3p8dg7MCPeUMw19csM/JYRyE1c7CvNVsyBlE/l8zBXevMQYl8UIKLlpdqK9LVrS93Wn4XeGheskt9KV0EzyJ5iddKSuYAQLZdr9fWarXs/Py8cohZLBZ2cXGRvE9l33BvHualE9HruEgBTAETJ89IlSvDwzdSTJWReko3x2ZrND55SHoCFvI8f/7cnj9/XsXtmc1mtxivNxH1PxN7pFcPXbNP3scsKEZlewoqt9+7aT5ivBGDQx72vMIOnnqjcygO7U+v/Wwo4PeqEGHxsUEQQpF6Q2AsUQY81sB8efy9fuM+Yq8zb3cbHoisaHPb4CWO2Pg8ft7cQfncH+oBjt+Iwev1ucYH1/XjeTVo+Tr+/C7Cn5Ua/vb6VOeqGl9z9MKbp5iDnF7byv0ZKRjemtZ0nlDpCYRRe7w+9wRJTqP9z8oAjNkfPnyoDH2vXr2y0Whk7969q45RKXi0nOk2TpCgHdhd5nj1emliSjDW+a405JcK/X7fjo+PrdfrPTYqdxKuc6CCWaoupOGjgSk8VajjbzOr6D/zFY5lzgaIVqtVGWFwR0d01L1EDuI6IsEVaVPrpbQ+pYk5+SQHSsO0LOUDLFdFspXZNo+NeJPXB6BRHv8uaaPSVvZiZ0OLB5FMy79RBo6plswbnRs6h1NjEL3z1k0k90XtVb6TajvawTiVzttdILWWngKk+gnv2bNSN1oiwDts6C2Xy0reRFko/3PlrYw7NgPY2Qnrdjgc2s3NjY3HYxsMBrZYLLZO1N0HXt6cy61vlsnvCtBlscEO+U5lPOUlKXzNtnWaHD3Q/yn+gO8SGhM9V9royeSYK/iwHo354+knqX7StPzNY5oyxCp99vQ+rYvr0XKifvT0GS0nxUNSaUp4iadHsxyX4tPcj6pLRu3Cb9U1uXw+0YeyI1y17JSeF41hCW3w+iC3TkrkwJRuWcInFafUPKsztzhfpBcr5PrBe85y/OfK9x4CojnEfc5rSdcE27YWi0WlM719+9bevHlT3S/1EHBvHuZRJ0XEy3uv+VKLN8WkIwLFabwFlcIlhYeZbRk2odCp5wLKwdGO4+Nje/bsmTUan2Kn8qLU0BaRsOsR/DrEIAVcNgvdHiPeRXlhxRtjwgIVM7pIGNHjolxWTmBQnFF/p9OpylZGzCcI+BkETTaCR4Z6HlOeN2a2VY4KYYqnHrdW4wDX7W0eMHPh/mchMieAcV7u85TxPJoL+jvHMNmoz+k5rW4ocDpP+dP1hHQw0nAYALQTcwZeWbrRoe2MaEmkTHAfe+2JIEUTI0HLE9rwH0LhcDi0Vqtlp6en1mw27c2bN5UiqfNUccH8Y2GT17KGFeI8inN07DRq3y8Rut2uTSaTJ2Ewv0/w5pxCbk6w0uw95zLwzcf5laYq/waNGAwGW3FxIwHcoxXef+UVUVtzMlhK0VCeV5LHU6oixcvLq7xHlVJVjjzZJ+oXlWkgh3k8QHFBfo8XevWoHIXnzKe1T6O+UZkkmquerOHVwf9VVo3wySmjnC81PxjPXFne89Rc1f8l8n6KNz41iPi0t750XCMdQfM1mx/DsyD0T2rOP0Sf5ehbKSg9urm5qTbsQZc3m411Oh0bj8c2Go1sMBjY5eXlvRnMoRPi0s9S/PG/Lmh+jCXCN6oO49Xj6WRRPZDp9ASj4pLCUyHimdE7TRfJ4QBtO9ZEt9ut/mNjiR2muCxPr0nVvwuU0DflxSk6H9WhvDaXR8HTQ+rkzeksOlZeHRFP8niK6sCqb2hazzlLf2s+fcft8OqJ+uUufXvXfCVzwFvzXjtTsjCnKdV9U889GVPT8ryAnF33JMHnCqU0mtOWzoWSunVz66HhXgzmKeEe76NJHhH5VKfnJnkKeJFGeNeZJHiPXRAWvjyB9ubmplKYT05O7PT0tDLGcVnqkebhhv+q2Ol7LtfL46XV8tnQqgZXFoA8z2UPb68fWblTps7lcl/yB+WUeNLgOSvLyIP+xqaHthMEk4+GwGDKBnPMA2WUPKYenix8cd9of/FuJxsflXGzl3BkMNdyVVDAB/NahYuUYptSmj1hwWOakTCDvse4e+BttqBufHjt4pvHZbPZ2OXlZRW3e71e22q1qjz92u22DYdDGwwG1mg0tk4HcHtK6BrXqzijPdonubK1rJzgqWuC695sNjYajWw0GtmLFy+s1WrZu3fvtmKLpegzDOI4TQLljC/0wBpgT0gPPzU4eULnYzHbpwK9Xs+m02nlzfy5wT4VS5Rndps2ebKB5lHwZBHP8xx0AJevDgaDrTsKSpQlrw+UXpfgG5WVotEev0gpLimF1cMnhyfqjcIDaFn83KPByhv1eLa2w3Na0M0DPZGlY8p8OOJ3njLHZaAPmN95cqbybYbcfGOcFHS8PbkkNQ+jORyVGdHwnHynazmqN4LPiWd4Y5KSH7RPo3GG/IKNVlzyrfM+mit3aUMq3b6AZc/NZlPJHzjhttl8NJj3er0qnurFxcXe6lfodDp2enq6VX8Of8Bd5yvLU7hkDZsDqRMxZredFqK0zAtL8fHWfTRfU3WX9k/EyxhgMMdv6H34KB+I+AHrbXXamKNbHs9I0WzGjfGNxrWO3hHJGxFN0t/636NzOvb6rXROeW100hq/WY/z+oTrUT3Swy8lNyEdzwEe08hZqnR+l8gYpVBKs1NjremisSupV2VFr39K6vbwZHqUc0z5nGQHs7hv7oOn52RHzQ/bTepU0n3Cg8Qw107RiaxpIoGf3ylEQn6UxqsjV2bJxGdvYJThKT/8//j42E5OTqqLLVlJ4/arcBEtUs7Di7nuAvDKVwEZ7bi+vt5S+HNMNKeUsZChcwZ9oXng5aseqyXj5h19Rj2eNyvjoycHVBBEGjWcqBLLBIH7IDrax7hEeTicBYDHDKECOBwPzzEW5Njz14vzqHgpRIKOjnnUTrPtUDkMEf3w6vTaB1Ac8B6GDRjILy4ubDab2Wq1qo4or9fran5CscRFUcPh0EajkU2n0yp+dCQce+32nuUYjPcuYlDaB55AprSE6QDmz4sXL2wwGNhPP/1kFxcXtlgstuiBCuIM19fXtzaPeK4hD+a0d5wytdP/uQku+wYodv1+3waDQdWPnxvUEZrrgNKNEoEskm28dGwoxzwfDofVZWpRvbk1q4J7jl/of4+O5BQ4VQIjWctTery+SYFHuzwjHeMGnLhP8Uw30D1FmtN4uHP5JbhH+OuRbS5f24HwVChHjVfK1zxcvJMHmkfHv8648VhFc7W0jFRbovlcQgNULsg9x7unzD8U91x/6ylG5En1NdYELuPudrvhhg/n27U9jwG6Bm5ubuzy8tLa7fbWBvN4PLbT01N79+6dLRaLR8E1BbvwQ80Dxw8zq+J0RyGpzLbH3aPZXtoUj/HoQIpeeDQrWtMezffe4zevDd5wVb7NPAYbr9pfUdmsa0X0JuIVqbHmelPyt9cPEQ9k/CIeF+GiZebkDYC3Iaxt8/rY40k5+Uc/+h5lePpGDgfG18sX5eF8pbpfbv57eSPemMuXSpsqP5We8c/VF0EJzruCN0eespxQAqW8I6cj1NHTdK6n6mcZpm7UgrvC3jXmnNIIYEKJ/woppSSVPlefMqxSIbsEONYbytcFq7hD+Or3+1s7kkrotW05AT/CO0WYPYKsgojHnDwDf3S8uASfCH/g4imH6i2dqyfVFwANt+IpJUzQodh6xkVVbnV8ue+9sU8xLU3HJxJSRM3Mtjzjo/WGdiEMCdqDuc4KRgrqrnMOZ8P9U8oEc4xM57snnODEx/X1ta1WK3v//r39+OOP9v79e1ssFlXceD6i3Gh88h4dj8d2cHBg0+nUGo1PntTcd3yyIdVnKYajgnuJYJViXmpY4vmlF35BOYDn8ng8tuvra1sul1WZOVqFcdZjrIwHvHe4bo+2f+5Cy30AjBz48Emlzx0iPuFBqYJZUl9qjakSzDHN8b/X61Uhm8y2abFXp9InfVeySZxqH6/zlHLNtD7X15ymjrKXSsM8Ge89w4DSRNBaT9D2+GtKPtV69bmWp88iz/ioLnh7Mu4cCiwl86mckGvfrjKxJ6ua+aegSqBkbuVw8tKmxi1K+9R5iod7at7qOtf8Hi8Ff4YnLTa51dPRk9M+J2CdAiFXEJbRzGwwGNh0Ot0Ko/WQ4NGqfQDTf+iyoDH4RPWqnsi4ltLIVHn3sQ6j9eLxE6WxrIe2223bbDa3+kf1ZK1L+QD0zTo0D89zPN/jM5HeEz3j53VoeURjGI8UzfD6kdPxqXKGlEEtp0OqTu3lS40HzxkuQ8O0RO31cKvD86Iyo/S70OuH5om5vmDYVRcs7YdI1onwyOGyb5oelVfSh/fJt3Oyagp2zbcvuLeQLCmh2SxueMRUNG2Ur5QIenUpRMTWy6fGSaTBsT4l5pvNpjrq9uzZM3v16pW1Wq0tL1UWXNi7SI1D/FvDguxjBwZKJjN3NiQzDuwB7F0iqn3gAYdbUUHAU0KRB97S2n9KILQdWo4KRSwIcV/gHfCFMQ+CNcZSQ8Sw4ss4slcC/jNu/I1yNW/EfHX+scCHb107PJ8jb3QoTxHjZ7x53Lz33jjpcxj51BNcBVytS9Poc32GPlssFjafz+2vf/2rLZdLm81mNp/PbTab3QrRowIQjOiXl5d2fn5uP/zwg71588Ymk4l98803NplMbDKZbHkNqtemzg+P7nle9yzM5wSyiGaiDJ5nOi68FjA+/X7ffve739nbt29tNptthVbRejwBHmk1VirW4IcPH9wTHN543ifj/9wAHs34PPTu/H1DqSCm86OO8JWSQaITIxzLFB9c8tnv96sQRMDHq49pmrdGI/nDKyPCP/WO6wfNU+9U9AHylyoKJfVrPTDeML9nusl4KB3ky1dVRuD0KXxSG+h834iZVaGpolOHnhynZaM83ozn8FTAUeWBqA05pb9EuY7WmsdnvRNhOj8iA4JuJqfmlac/RGkVn+g55MSU88Fjwy58Tue+rqOoDvQD7i1Zr9fVaQcuN+c88VQgNddZtlgsFltOEC9evHiQe0BK9dV91QO9FLLf1dXVLe/yVP7UWtb0dddUbr0jDfQE6CopuT/SFz067ckOqqtGfCXCOZKFo3xev+b4ZW5N58aJ26ntyuHilR3pJil+GNGTFO7aj6l56ekiXnu8tmtenTOp+RDhqs+1PzRtSsf12pPilRFuXj+UpC0t16MhEZTMsxxE6zLVl/pfHbx2xSmX1sNnF2A+fxe4iyzk6TG5clVG/+677+z/+//+v3sNi6bwIGeyI+LkdYwOJKfLKbeeAM7/c3Xpu1waTe/FMoqM5WZWeZgNh0Mbj8dbyiiX6xFcbS/+MyHV9CWQIhIlRNNTApk55vCJ+jrFTPAuOqYd4ZYCr68jBuP1OcbSi2vK3oaepzkLJqUMI9euqF9Sc0SFR3jb4AZ43SlHuhLcUwTTw0MZvs5JrdObf7nyFY+bmxtbLpd2cXFhP/30ky2XSzs/P7f1em2Xl5ch7mz8glEH6TebjS2XS5tMJtZoNKzf75uZ3fL2VXy8PtU+j/rDG4u7Mk1vbSHeZ6vVssPDQ9tsNlvHtr182hazTxtmOG3DpwzQtxqbX8vXObMPQeNzB2zU4fNzg10EuPvKo8qRCnswvGDj1NvszNFHj1/guafAeWWn5AlNr5vmOX5+V6Hcww316v0bUV7lG4y/bpYr3iX81KPHPC65Mjx+FfWbx7d13PmdB6XjXZqmlIeXpPH6NPqv46vfUfl3We93URAfCjy+XJIOz3T+peYRLjrcZSPhc+DLjBtf6A45h++duC+ou77uWg/oFjymQWtzxnItx6NtHv1iY7MHu65ZyI7eia06ferpjOCF/J95hsdPvHI9qKsfl/TNPtaY8psUj9kHeHpl1L85/gD8vXL5nZanvL1k3uTkAoUcHcyNXY5Ol+jjqb6I4KF4ocpUpen3BaW88CFw0bpK50bdd1yXNzfqtiunB0T0MVpvmAvz+dzevn1bC5e7wr1pzTnCHikkujAiI5EHqQWl3g85qEP4Go1GFeOOjTqs2Gmem5sbm06n9vLlSzs6OrJ+v2+LxWLreC28idSLN0fgIIiwl1PpJNeyuU58vKPQaKd6u7FQ5F1qpu1JHUnjZyywQHFWZo5yvdhnEUPV+MmeZwX6FN8c25CN5IwTDIl8SkCBDemMi3qzcd+yEVv70psnKhgrrjwmqRMW8JrbbDZVuxhQlidYRp7zuk54/qnnoo6lx0h0/nMfqXFB2355eWmz2cz+z//z/7Tz83P78ccfb21+6TxLMVa8Oz8/t9lsZpeXlzYYDOw3v/mNHRwc2JdfflmFyjC7bUDX4/vcBi8Mg44pG4k4bURfoz7V+liZ2mw+nqpoNBp2cnJivV7Pvv32Wzs7O7M///nPt8YN30qbcR8CrzO0R8Ma8XrFWmAaHI1Hjon/Cg8LEc3X53UU6Ei52kXYx9z07s5gGuXJL2xQ6na71ul0bDweW7/fr8pJeQNHz/l0UKpNkbyQEr4jRTNaV8AjEnS9tZZbf8x/rq+vq9M67M2qJ91UxgA+LJNwXqWFjJvKOR7oiTQGnjPAg/sxdSJMywD/urq62pIHtT7+zWlULuPQAZ6sG5XLeeC96Z1sKJFTGXLeg8rzVP5U/LmvI/pRssZK+uexIaXTpPgcy+d6Uiy12YPnvV6vOlHWaDRstVpVaTi/zgUu4yEgR/NLeATW7Hq9tg8fPlRe9U91Tpj5fZzSq7CRi03c9XptV1dXRcbyaA5GOKTk9lybcmMJRzSkhYd8jh6laL2nMyrPhy4E8E6lMF9SuVdDeXJ65m9cRq6vUu3hNHim8r8n0+Qg4vl1ZS+VN0r4FPNZxiVy2EnNiZyeGf022w67AlD9NtIbU3MzsudEcgjLO1G79Xm0JnNjl+pbTZeqX+d3nTHzyk6tg0j+KqXr3ryIcMuV85SA51JODuD00XOPJvD8T+l++gGfeowT0ns1mOeUtl0nhQ5apCikBndfuHi48SclJCquvV6vivkbMZm6QgWXv89FqESMJzM/A+GO4oSW4q7KUTQHPMVWhRtvYeaELrxPef5pXcyUUS97lHsCkbYnxzS9vlHv20iJVPwjho0xTDEapPOOg0f1lqy71PyO5kcun5fGm18M6/XalsulvX//3i4uLiplMPJKjHDV+hEP8+LiwtbrtZ2dndmHDx9sOp3aYDC4tdHFeHuCcinNjcYav1MKbTT/OVyL4galZTqdVkaeaPNQy9U1zfXwe7xTGuzhrPU8ZUX3vgDGjfuOu7pv/rrPvEozSsqPlMeSeaTpW61W5VkO5TeHc/Qup8ShjfhOpYtAaUhOrrkPQD/DYHx1dXWr7alwVdzPGEez2xeL87MIjxJcUTfLSPzeC+dSAixf5fDy5qjKLbvgUIpn6p03TpG8wN8e369bf4RDCfxceEYk2yk9S9E3yLZwluDQF/r9OUFKTmK5Q9sPuW5f0Gg0ivh0ibxTp0522MHJwFKdc5f6dtFTS3S3u+rBJXK21sPfdWlMhG+kf5asL01Th3+pTO2Vk1or+j+lX6Tw34cs6ekyJbKh9zvKG0GkB3q/I5y8sc7pbFEaLx0/j/ogpbOl5mdpORGO9ylXpuqtA7vSGK33rnJNaT2AnB5+H/XrfInkwVRfPGZ4vAcNyeJ1hC7QEuIUKayRIsfpUobECLQ+LqPdbm9d2oXvy8tLN64uDMndbtdOTk7st7/9rfX7/SreNafnj6fcMW5aV7QT6fVFSnnCc/XiBmBHnQVGxAhlTygoiooT4+rVq3ihrGazeeuoIJ7nmInXf1wuvqGkq2EY3yxcQplH/yAOIHtsaBsYB1W0PdxZgOAxYcEW4wEPcLPbnusoBxdZapgLlL1er6vjmdGcRJtx+RN7mqPeyCuRDQqsjHgCI8cA1r7hPlMPjMhAq8+47g8fPtjr16/tzZs39tNPP9l6vd7yXPTGhMvU+ay4NBoNu7y8tPV6bX/84x+t1+vZu3fvbDKZ2G9/+1sbDAZ2cHBwa7w873atB9+R1x8LMzoHIwFYBSCu3zNmm32cf81m0373u9/ZaDSyn376yRaLhc1ms1vz3YPNZlMZ2rGbjJMUOu95LfIpn8iLM6J1P3c4ODiwf/zHf7TDw0P3fW5MSmEXQeYxhJ9cncwPQNe8PEo/vfJhWBmPxzYajSpjSIny4q075T9RGXdVPMAD+Vtx4w/nY5zV47Qu4PQIwmEhfjLkCpxK0T7huiCPgJ953oCcj+Ui/PYEde0TvUSbZbGo7REt5jr49JpeIKsyEv9XXsD4qvyj80VlUi0/Gn8tw5M1Pf4UQTSmXl2Kt8fvcqDzt0ShfSzQ8Y7GwQOWWVIxx7U/8bvZbNp4PLZ2u22LxWKrPJ1rXM5Dwj7GTeW9Xq9X3T+1XC7t9evXd66Dod1u28uXL/fKS1P8ALI6LnJdLpdueNBUnd4YR3Kl8rbU/PD4TQQcKhL/vbpK6JW3riLZWduq7eW0Sq85fy5EDevTOf5ed+4wf+NvvIt4heoXXv1Ik3KY0X5XRzjVq9iekKLR2p+chueHnmJW8E6xaz38m8eI5403bpFsoGslagfn1/HR9F4fKX3z6lB8IojqTaUr5Q+l9MjL582PnFyBNKm+3Jfx9iF4Yw7POu0oSVuqf3jrIZp7bBN4aHgQg3npYvCEdH4XCfM5iBj4LsD59Zgr6mJi7zHQVqtlg8Gg+jADVYKcI1A54lQ6YVOQEhoUP2XmnuBRilOj4RvZ8V/LTn17wpJHLFVpVqPbZrO5ZQBPxSnn0BKKv/ZnCmcunz3KYTTUkBvoNxiyUY7XNq+OiJGnhDSU6fWnCgr6LMWsvLoUPGEtJUBF+Jt97N/ZbGaz2WyrX7056BH1EvqCNOv12m5ubuzdu3d2c3NjZ2dndn19bf1+v5o/UZ259nE9ufzR2OfoD68lT+jCHQ3T6dQ2m43N5/MQV8UTm4tMN1NrXoVLzL2Ul84vCbBRG8Uv/xz6Yx+CaWk9+HjHpDVNqhwz2/Is1/6PFKXomVdvhIMnN6XwVLwiHh7hsQ+I2s4enWoY4bGKysF7dW7g/GZpo02p0mn2yTmC6yhdYzmZj8v26k2Vo+lzdZfMxVLw5MDU731CxC9/7pBb/5GcGaXTcjudTnURt5l/Ce1jQh19sYSOYh6xjH8fNJAvgy9Jv0saNkLwJofKTCXlR2u4ZN55aevSgUgXLe3DiD6wTqtzKZL/VS720mm7o/WlZeu7x1hf0dikdBKdHzpWnpwR8dzc3PBO6Ho4qZzH9Whfp8YnRztTvE71p1LgfDxHtZ59zo/HpOUPqZ+kxiO3bj9n2JeM5K2VOuWmeAbCMrJT6EPBgxrMS9NGkzVXTqnQkGNM0TNlgPBW4gtSEC9NBQ42JPb7fXv+/LmdnJzYZDKxy8vLavBZqYNi6AkCqfan+tAzeKaEAAhPnuFA+8MzYrH3c7QTh0sktWwuB56kjKvWk1IOzbYN2Z7CzfhcXV3d8lJF2m63u6UcYOxYoYd3uRqwPWZcItAjDRvI8Zs9QcD0EbMPnr5spMFYohw84/j5DKyAc6xLnRObzWbrpAH6DIYivQQV5ainANevHiKeUMUGBM2raVRA0nWK+JTff/+9vXnzxp23niCr+HE6VkrwHrhh/L7//ns7Ozuz5XJpz58/t36/b/1+3waDwZYSw/Vwn+nYegKop0xgTLlveM5qOm982u32Vkx7tAsG2ul0an/4wx/sL3/5S3VJB5cb0SGOSY47IoAfnquRiD2Cmf7sGgbhV/hlAq9Z/OYNRrPti2eRxyuj2Wxar9ezg4MDGw6H1u12sxepefTGo7levVFbPEgpVVgzUbgBxiWHQ0rBj/gf0ziEeMLaBw3Eb5zkguc+yx3gDfBM4ZNUrGx6bVMayPyD+wl4qvLq0VVuX6my7NWnHsEen/B4tPZ1ydhwuyPe48Wb1XLqxFPVNHdRuFL5vTUQyZmfG0TjDGD5PZcuKrvX61mj8THEJO4ZYNqJtJ9j/zF4c+pzbReva/AnM6tOnXqXZZrF6zo1zyLaqnRU6WCd9c55WKdQnFj2ZnoWycmaX2VVr50oU/UP7RfWB1S3VXk16udUH6Vofg68sfHK0HbxGGp+5R3MJyO9yex2GMzUSZiI53nyP9KwPUDHQfFim4Dqk9pmzZMbq6iPuSxNz+HmcusuNV9ydaeAx7BOHg+icjy6oDh7chS3OWp/tN49XHahSfuGumPlzYMUpPpzH1Dah56s3Wg07PXr11UEgIeGvRnMcwu+5NmuA1RHWSspJydc4716D0eEWaHT6djh4WF1MYnHdED0mYjX7ZuUcoNn3m9tKyAyMPN/732KGSqeXhvMbl/GqRB5lkVKqzJjTp9SGrVNKtTwuKkHmP7mMr3+YYFC6+R2M2GBktJut7eM/TB6eAIB46JCpEeweF7qkT0vreKeU84YtO9y8yQCxiUSPjebTaXwLZdLW61Wt/oe+XN4cDtTAji+YRyez+c2m83s4uLCzKyiEYxDdGxT+98TMjSdzl2vLR4dieYg44lPq9Wy6XRq79+/t/F4XIWjydEkFpBhAEN9vEmp/c5l8Zovicf5K5RDik8+NOwTF6aDOge9TaOUEI65igt9S48RevTDwytFW1L4leLgyQ+qkHp1eeswVY/+92gRb3jrRifLYniuJ730DhGPtntt9/o9wt3rA6bxkZynvJHnnUfrvXmYgjppFTyZJEqza9l100btidZlSg4ubc9ToXU58Hh6qp9Vv1AZJjdGWGMwul5eXt4aq8fku/el9H8OskRuzrIsv9lstpxoPJq4C0RyaB0o4TWRDpLDSdNF7zx5WMvUNKxL5doV6TqRzhTR45yOGeG/y9iU8HXVHyJcU+2J9B0ec5URmK7xqWx8l7ZN6SF0CebR0SnySLbQOnL6Irc3h69XTymU6La5fMpHSuvalb7UkYF2KTfC0bNn3BVK+HXdsnaFXW0tJVC3narzPBbv3fuln97CiZiLvtOFlhP4PINknfq0Dn7Gv7Ew9Kgrx9HBezbsROUNh0N79eqVjcfjytPM29FnBpBrX/Q8xaw43ESqXLP8ZYfqjcXj5nklezh6Max1wwDpOJ6q4hYJF7qTzOV7zM1TkhlX9vTm8nGhm6cI6xxXb2DGW5k9PjxXUBe+GR94S7MXPPA02x5/jIsnbPLYegIJyvLGFqDx6Lw+jxh+ikak1oLOB53n6l3/4cMHWy6XNp/Pq8s+VXnw+sdTUHPpPJp1dXVlZ2dn1mg0bDqd2s3NjY1Go6pcL7SItpWfpWimJ6hFuGl7lA5i3HkN4/f19bW122178eKFXV5e2k8//WRv3ryx9XrttiOqD15P8BDlExM8j9gLmL3NUU5OgfkVymGfguJdYV+48HxmOoUTDVCOcvwQz3HRar/ft+FwGKZPGRWYpqQ8ulNGALyP8nplMe/hMnWztAQiuh3xasYXz+BN1Wh8PJbJ65zjmfMYdjqd6kSYhlIz+0RbtH9ScmJqfDy64sk13CbwV00b8b+o7yOP8whXLi8lqzPNVNmc69D3qTJTdZWmS83jCI86c/9zgRLFvUTJTOlBqT7EPB6NRtZsNm0+n2/1oXeS73OGp8T37gIYN9AgHHO/z/mfKru0Tk9mZf1DnadYx/PGTteGpztEtD9qA9NXb32mdB3vd6RDsI6aowMl9LIujciBp9emyorwiOYN2s2n8pnXs34K3TkK56B8lW0L0TM+vco8KRr3qH+4bs3j9Rm3S9vAZZSuqV1pWjSP6+RLySkpfTdXRilOkdzCuER4pOq7Dz5Ruk4fE3LtjuwNKlt6wOu8jv6xL9irwTxF1OqUkfqti6TO4NSpO/VMPZXMrCLEqfiRGOjhcGgHBwfW6XSq0B/MANWoq4pHJMjinQoHEVHLCciekuQRE7QLRgXk17bkFP2UUOK1Uz1towu/kJaP0HsCUqSo6zNtP8qF8InYgymmWcJotC+xQYP5h+PnZlYREA15wgIwDOdq7Nej1DrOkVcl/4+IlyckpvrWY4Re2rpMLMIN/YL/uFjOU/C8teXNHQ90/kZr8Obm42Wr5+fnNh6Pbb1eV0ZixUXL4znH7VM8vHmc2txJCTRouxrMVYjfbDY2GAzsxYsXtl6vq82ICB9tDwyViMmfEpiY1nA6rNMoxMTPFZrNpg2HQ5tMJnZwcFB5Av4Kt4HnM9OHaH7hv1cOaPRgMKjCCfF6iOpP4bWLEB7RLAblh56y7q2pOjhE/0v7Qvkp83EN2eZtoqeUd37H/ZPajOdyo34p5f8ePlx+lDZqD/KmeKnin5oXOt+1vxRSoVfqKnupNRHxJf6dm6ve3PicoFSuzpWB79yc8uppND5euI3Ld838jfXPsY8jubXZbNrp6and3NzY+/fvHw2/XQDjAV0FDgneOqjLq1JpPHrCz3PyYISX8qjcPEvxn1K6kQJvDXmyNX5H9DSFg8oqcKTadby430rKSPVxjp5GfNTLm+K9ANa92T7Da1XnHjs3qp7h1ct83gvV542hJ0N5/Ye6U3Nc/2ufRXKoQm4taZtTEMksOahTbvQ+NUdL15BXX65vNF0JjyyFXFkl/DMnW5bCXdrhQZ05yu94DTebTbu6urLz83PX6e6+YW8Gc29AUjsAkWCmBMUjEBHRiYS+UiZaOhm947+Ie624aF5cgnd4eLjl+av482L0iKL33subm4wRRATc++952ev7kkUcCf6cHnmYAar3M8rgEA5saFYmhzSML4zPalzXPmDmyce/0RcKmjc1LxW/Xq9XGWA6nY4Nh8PKM1o91SAIcx9cXV3ZYrGw1Wpli8WiEpKvrq62wlV4jIDH0VMwU4TQa3OUThVzL4as5vOMEtFa0np5nBqNhl1dXdl6va42FCLcuP3ROGo7U15WXO7l5aW9e/euut8AG1JRHu/Yfmqc2ECSSsvgle0JpChHQ/GYmQ2HQ/vyyy/t/Pzcfvjhh1t9nxLWlbZ4RnPGidcz0iBM0S8tNEu73bbJZGLT6dQODw/3Lgj9XEDnNdMfpeWRpzfTCxjMR6ORdTqdLb7j1e39ZyUt4qNeGTnlJVpj+on6JZK1csaHqN4Urh5ujMdm8+nUVUQTUEbkha1lm8VjjHyerOW1U3HWPvVw0zakxktxAu3znC48Psp5FXdvzL36Na/Hk7XsuhDxd6+eaC5F8zbCMTW3f47gyTc5QLper1edKNMyMC9Tce73CV7ZOfripVN6ruvg5cuXNhgM7I9//OM+0N47pGT0RuPT6bvValUUTjQqq867FB1RnL3yIn6hPCGHSwpvj5d6uKXSR/JsRCs9ehrxTZZvWeeMTqrrd2RX0DZoXyoe3vzKtUV/aznghVF6b9xxP0nkecoy1GbzMUwknMm0zojf8X++7Bd2HObhXr/o/IzmScTTFLz8EX9XnLR8lfWi+nbVHXJ5U/w4el+SvqQ/UrLCY/P8XepX/f6+8CjRLVKycw48Ob7Vatl6vbZ3797Z5eVlCep7hb3GMOdvs3QnR4wzla/OgilNl1t0+h9KMBtV4bWbE7Tb7XZ10Se8y/nyOiXWXogM/I8Ic4rgcZsihgjIeVYpwKjXaDS2Qszg8j9V3hTXkrmgRD3FYLxF6RlfUwKJxqhXI3uOYEQMyUuL35vNpxApg8HA2u12ddkZ72p/+PBh6+grygF+iJerwijKHQwG1bPValXt2mFOar8x7t48S/VJjtiyUYrnEYQRs08ehFquKubcfxyeJlU3pzk/P7e3b9+GHoulbfSUgBSj4PmO0DC4DBhxzKO5Uxoegn9768oTcLk/eQw8OsLHYVUgXK/X1mq1bDKZ2PHxsZ2entqbN29ssfj/2XuzHsmS5DrYIjNjy8xaurq7unuGs1CCBGoDCAHSL5Ae9QcEAfp7eqFAPQiQ8D0IEASREkSKGFEaktPsnl6ra69cImPNjO+hcG6eOGlm7jciMiuqSQMCEXGvL+bm5mbH/Lr7vQj7x7vOeh7ZLrWfehTT39SV5n9LdcS6rQ8SWc8zu7K3t2fD4dAGg0EzWa4vPdY83jUdV5u0KZuI4Hs6ccITsJyvFhtEFAWMHu5hvjz+MfHjYQw9eox363i+iQOOzBZ5+TmfBrJZGSVM4fGo/JYwFdflyddrA/6rz/TazmUx9mgTbPG9qK+Vn2wclsaXN3HBv991wFxDUZ+2bYPi4eh3RIiNBoOBTafTFf+qmEJ/b5si21aTXsdStkO29BDzLqjWdnA6nmRVPxdRTTvXHeulMvheDR+e/VF98/q0Rs/b6lZUtmcfa+pX0vO51W5nR6hpXtTNR4RFfsCTL1/nNqlf0rT80ZjM82nsZ3ihWo1uQBY8X6GrxDneZtJ+4TkCnjj3fAniW5aHl86Tryf7GqrFN6U8ZjHei9LX2BPFSp6fqCmL80Z+PJJfWzlwfe/a9kdUi/XXKWsTKumeN87Zjh0cHNh0OrUXL17YZDLZGl+1tPUzzJnaDjwvyPDutx2gNcpS64T1fCw+3iLjZblc2sHBgd27d88ODw9XjjDRgA786JEjXJaCZE/BMlllYJWdEf/3jI4GuZkj9OpRZ8jtyvjzdEMNpuoTOx4FusonHDEmOzqd622L6Dfkb7tqRvvGkxNWlPd6PTs+Prb9/f1Gz3D0D+9OwDWdfOby0R68gA7OHpOz4/F45VihKOhVXY1Ak8ojc7hoFz8U0Al/Bn1qJ9TpsoxZplqv6tvFxcXK2eXKcwZuM6cbOTDPuePseaz8j7a3a7tK9tcbI5o2G1fRpJ3KHXZR9RvB9L179+zBgwd2dnZmFxcXqXw8nrjMqJ/AL9slTJRtOvn4t3STIgC0y+SBch0fOklbM1mOdLDf2Nng+e1aPj2fFwUBEZDP6lRf6Z2NGdlvrw7PTmaU2aMaLMOTP+ozeIKX+y9aUanXSoFi5hOi9pWuc3leWZ7uRrtuvPoUc6kesc5F/jSqg8vO3ufj/Y+u8b0a/au5rv0X9RnLuwbfvWvKMEuWJ8LdGRZH+YzZer3eSr9n9q4mNtuUam2txlCwFdFOE273uyIPP4IyvnSXdGl1uWdTMpvWtl8Vv69LWkbmxzweauvIfGEWFzGPnq+K2sP31WZHi+f4qFCOnbgePChBLOnZxAj/Rxhc/y+Xy6ojJTM99GwI84UJ86h8JZYL6oMscC2Lq9RW8O7VbC7o6urqxkR8NlYiLFJDNTbbs2E12IcpwigZ1bQj60MPryg/24hJ2vikkp/cFarhc1s+zeuDqF9U17RPMc7n87mdnZ1thb+2tJUJ82zAKUUO4q5Axzpg2+w6AOaniXA00QsklHq9nj1+/Nju3bu3MjEJ+elKSA2wM9DOAT73hxq/GsPGE69aFpehRgn/8SSIV9RlOlEzgaVBHFb3q2NTGZXk6A1mPbYB9WmfcXr83tvba1bVR33AslosFs21Xq/XvCCOXyg7Ho9XeNJJcZ5MRxqUq0/NF4tFc8wHO/u9vT17/Pixzedze/r0aTNha2Y39JLbhG+dyFZQp233+hV9ylttuDwOYvAgQx8yeX2t/Wt2rePYDYE8FxcXdnFx0YC8mqBT02T20APwkJ/KDH2sOxsiMFnDo0feOPYCGG/Hgo41fUij9uLq6soePHhgv/zlL+38/Lw5GojHMddZcuyZ7QAI5jZBd3AU0fsAcN4HWsd/twW02wDAEbGOe7aM73kT5mxv9vf3rdfrNUexcJpaPlCfZ8MyrMX+zaNIhtsC0OsGdxq8qZ/kALfT6TQPE1nmamv0W48qgX/0zu71cI8nD8VCKgPUF8mJsYPWE+GG6J7KLgpKPDlpOZ4MopXl2X+vPuUx0pksqCpdi3jja1F/1abZVfLiqxrSfi/FDlonMNPh4aFdXV3ZaDRy8c6uylRtCccVjLuZ/8VisfLupm3Ttuwy0jLmx/b26Ozyderb9H4b8jAi2tLr9Zr/0er5qL1efOiNBS/GKVHkJzw/z6TzDl6cC7+GldOKH7zyeREJ9JlxM8cdpYU7EXl+VP2mfji98s99wzvBPRsVxX98n+XFfg5zKeq/PTmi/m6328TlevyeFzvxd9T/Gf5T8srP0njlerY/0yGvPC9+jPhui2G9+Lqm3VpGTRvaYuWSn3wf6bbbVGM/MQ6x0PNd0VZXmLchNfYg7/e77izdyg+eeCtP1AZu48HBgR0fH1u/33eP9mBAU+KrrTHEvZJM2WnxFiJ1ZpzW7KYzhcPwnJzHj0cRWPEMO8stamcU2Hn9hfZr0FgCXuwkserNI5TPThnHrwwGg2aVztXVlU0mkxsTuwoqdGsdJu05j66WBB0eHq68nA5HgMxmsxW5AlBwGzJnXxtkad/pJMJyubyhh9iC74GZUqCHMviBDr75Dera9x55uuO1M7rmgaG2TrrmvleX5s/sjgYJUV4G9lwn6+tgMLCHDx82Z/HrqgwPzNSCSa2LeWGd+bGBmow4QN4lWndCZ9s8RD5E03nBk6eb2IWGl/WWgrgSf6WAJcoH/kqUBTw1WMQrZx0b5mEfz/dzH2Q8alCu5UR8Zm2ISG1OSRbMl6cfUTAd+dRaPVl3DCnmiMos+clMLm0nDEr4Ucnjv4TnfgzUJuAtybNUVqfTac4SVlvKuulNvr1Lgl3hb9Vrfaki49fbOJqldidcTazIsufjJrIJ5VKZJX428XsliuJtjR2imMejkj1h/OvFGUhTKjuyo9oW7bfIbiENH0/COhm1C3GV8l/aeRXZ+zbt0THk+cKoj7W+NhjF449l5S1M0jZH+NDMqh7c63GS2p6ovaV2lGJt/q16XPK968i31H9RHu7XCId7ZZZ0sZZK8wda923ihayNpTyZvWhro9tgiDYUYYSIpzb2/DZoKxPmkdCjTlGHw4ZYB0sm0JIy1XRyNlGDa/xUgydhZrPZytEXnEdBfbfbtePjY/voo4+s2+2urFbWPArA8M1gwJOLOo4s0GCqCcAi4jboCy+xeovPMoRDRx3eeanquLQtniNj/eEVggzO9To/UUZeddpch25jxOfg4KAB1GhrtJ0TT/CRbrl8O4F4//79ZrJ8Op02R1WY2Y0Xinj9hPrBO7+0kutXHTIzOz8/t07n+sz0n//85zadTu3rr79uVtBofboC3zsaIwOGfA060e12bwA2bQfyYTKfVx2iT7lcrk/HDesBp2E582oDpNFVqKovHhhkHksgRI/O0ZXX2bj0yi4BdM9u8LjSNmlZPBHLL5/1ZD6fz5udFB9//LFNp1N78uSJjcfjKsBXAjOebHhsLpfLlVW/fxNoOBza7/3e79kHH3xw63Vl4Psuy/AoGzORncZ93mWTlY8VlnjoaWY3xkItr57NqCGuR8dIhHE828d+GuVG9Xg8qH/W+vFb7ZtiQVznsgaDwcrDafU/uIZjvngygf29ly/yJxFuUnuvVApgOI3yEdk9Jt1h58k46yflg3Uh8x1Ir3qStS/DyhFvivG89F7flPxJjUyyPts10japHfDSZ2WBsn716u/3+zabzWwwGNhsNrPZbObysyvy1JW5iqd5UYXSvXv3rNfr2ccff+zuNF6XDg4O7NNPP616QJuNTf5GubCBZqtxQg21fdBRU25JF7gdni3lOngRm5k1x2hGPsy75q1WZnuSYeysbfrAhfMqf/qdxX6Iu3mltcefJ2fVJ8Sy6if1iKUaYnlFPtLDHdw+b2dzZuvZf7Uh9veIQ/WjbfHKQB9ArvowyvPNXnl6+kDtOPLK1b6PcIXqgmIp73rGh/ff63/lA/1QOznqLYBiHLkOzxHWU/J05DZp236zTXlt6y7JPMKI3rW9vT07OTmxL7/80n744YdqHrZN72yFuUebBsqRM21j4NVg8MQnOy89JqFUVrfbtW63a/1+/4Yh9YK1tvyvk6eUtg3YUYPhgRteec3Eeb3vWp3w+i8DOVqP5xyj9nplg9jZqWwZfEO/sLIcK2Cvrt6eT66rqiN5aEDJ7dJ2e9uq8RuAv9frWafTaSbvecI+2p7mBWtRPZ5MOVDBt3csUHY+XCkYU1lE9ZndPH6EeTg4OFg5ckhXqWfHENU4cAbBCOKWy9Vz4zMq9UOm19kYiurKHJ2CtKurq0Z+w+HQjo+PmzYqzyUZ1RLLgPWnDSh7n2l/f9+Ojo6s3+/fel3r+u824HZbpHV6D0NxrxS0aMDF47aNLy5d29RfZ+TxGrW71Ka2wDrz855uIDAFjsrOyub+Y7sUPZTXtJ7MPbu6KZXsaBTMthk3mT9WO8n2MvNlm+L2iDJ98P5r2yKea7BlNJHw8OFD++STT1q0Ynv2LNK1o6OjrZS/KUFOeDCF9zQx3ZVtb0PgWSdq8MnGABZ6dLvdrU6Y4whQprYxkZcOfbPOJI+Os3fVl6VxG+G9thTFtm15wn3+9q7X5Pd49I6Ka+Ozvbgd8QaO+/TiXo8X757GAHo9stP6yWLMdf0x96/6f8TobXQIZfCkudnqy1NRb61/47IVj9XgAi1bY7PovsdTCat5PEdU8s8l/qN826ZMp6P7t0na/simbFruumlqKNNbr85O5+2c6Wg0ah7Avwva6hnm6KjIwHjBX/bfrDzRo/kjo1pbBufv9/srZ0kjMJtMJqkRVeONl31iNQJWp4MfL6BD/pIz8drlOXk1RN7KhVIdnpzwJBpP8s2uV1dj0oBBM2SIiQWvXG8Sq41z0RXl3tnLnBc8oe5Op7Pysk/cV4eqTzaZRwUw3jEjBwcHzdEU9+/ft/F4bKenpyuBR6fTWVnBziBQnbG3lRR842y1CPR3Oh2bTCbNyqD9/X376U9/aicnJ3Z+ft70MV5i523lU9kqEPHkxOn1qTq/yEX7j8uP+oAn3L3+4bInk4lNp9NGxjiWBv0ImWB19OHhoY1GoybfYrGw0WjUnBGP/opkBL68e/v7+3Z8fNysVAVo4xUknC9zmNwH3gSHHjuk+Zl/b6Vs1LccbGi50KWPP/7YhsOhvXjxopFhCXDX6JInAzNrHkJBjsfHx3Z5edmsbi8B+JprEUUgsG3Qui6tU0cbYLwplQATaBNZRXlZJ/SoNH5xVsQXvnEMC4648uxTNLY8vVbboEFB22BEy9J0bIOzMcfXo/GqciydA6q+NWqHJxeuj30/MAhWVfIku54v6k04sA3z5Kb3Ipl7KzjVTurOushecPujM+617rYBrj74BWV9wfjD41vbndWfUTSeaoPGLD7w4hf1n//6X//rGy/IA9/emPAweq1/Ub49PTd7u8rZW8zglVEiYFo9z5d5qCHsqL26un4nDXQLFNmPuyLGmVisslzePMe5xONtt2Eb5WN84mHuZDJp4jIvbs7qXQf36LVsUUmGlfh3ZvtKu2M8LOylV14jWWlZfM3DAcpHVH+WHnrLx+157Yl2snM9uqoe5XF8zwsFa+d4Iv/h+Qn2IRpfah6WFeyx5w8jnIPxzQuekBfzFryATW1v5OdQD9tRb1e38sT/PZl4D0W4LREW0ZhXyZML63mGN0sy0DZ73zqXoTLhORbvO+pflQG3yWtDRCUbmI3tbVANdtvUj95WjBfZ8ZprjKf4ATyOuXxXdKsrzGuDYI+8geoFLTX59XqNAnpbgbxAS9viGcFO5+1qXawur6USr5Fh8tqT5UWaCLyooYscf2SQ1PjyVi8dJJ6Ri+rOjKXyrve9b3aakeP12ob8euSLxw/LAatIsFpZt0fWAidPHiw3/Z0ZeAYgONNc3wDeZgtnKYBu064SKZgp1e9dw8MLEOxAv99vVhMNBoPm/O3JZNIEH/1+v3mD83w+t8lkkoKYKADA6mvohk4+ee1u6/SiMePxE4GMkn33gB1+X11dWa/Xs8PDw+bBpB7949XZtm16nT8MsDNguA4PNXk3BTqb1n8beW6DblNGqqd8PbvvpQeo4225Jd69IDzS/cwGbJtq2x1RFtzU5Iuuq4wQkOrxasBw6BdvWzf7YZQZBXecT8uIMIeHAzy8U6tfHo9t8WEpYMwmsqLyGdeVdkGVbF5kh1XeKtc2NqI20PaIsQGXlfVFDX7m+xHP0G+NQTiAjMpoa0O5n9bBF8Ax0YvT79L3ZcR2gvUrW1V+1+TJKorBlJCOF5+Y3TwLtqSb25JDFit7aUrUxn56sVgms0juNbrr1RXVEeXL2gK95fHllVNry6O6URfrTq0MkL+mTo272WZ6cRP/hj3EQjz2555914l/nTDXh4+KNVRWnk/Hb11pXisv7uPoeFeuL8MjNfXVYMuoH2oxblR/rX5yW0v2qpaUtzay23XalfitLXkYd29vzxaLhZ2entpkMnlnvG1twpwVT58ORoZL/3vG3ctbcjJRvTVldDqd5ugUGChMFE6n03BCLqLl8u15YI8ePboBtpkX5rPmrFTlG7+9J7OaTw2ryst7Iqqrh3R1lpYbyZ3v6dvoUTYHkjxgPD3wjlUAn7p6Fnzr6gO0eW9vrzmOROvx5Kkr2LXcxWJxI4DkNAcHB/bgwQNbLBZ2cnLS6IrypvoWPX2HrkIPELSo48Z5ztzP7IxHo1HzYsajoyN78OCBjUYjOzs7W9GHbIV9JDPPDiAdr5LgiXn+IA/LgIEPQBPGMe57us66A1D485//3H7yk5/Y8fHxypn1/I2JsYuLC5tOpzYej+3y8tIODg5sPp/bN998Y6enp/btt9/eeFmrykr1r9/v2/HxsX322Wf28OHDZiKZ2wU9YgDBPJb6gse455wiHrVc7U/mh3nRtkMeeIj44MGDlZX6+r6IzMa2DcCwWob7lnmP6ssAmqdbHqms7hrQvIs6mdoEDndFsAM8rmCH2dYy754udDpvH4rj7HK1O1n9IPW33m4Srdcrp6Z89rER7orKUj68MaiBXFvMpO2M7D9sDXxRtBMM/cEvetY0EeZiWXmrzbJ2RTZFMY1OgrKstR2RLDPMpf+jHYY1E+bax4qzogeR2q6IZ5CubvZ2P2i5UT1RXV7soXqnOCcrL+uPki3IKGtrqb/alB1db1M+7OdwOLTxeLxyZnZNP+H6Jm2qId5Z1Ol0Gkxcu7IcdFt+NSsz0sdIntgdafZ2p52+aJ3zbEvuJb1iu1pL6rMUt3ljI8K0EZ+evdS8XhyieaJxqeVntsobL1i4ow9BtP88H8U8ozzFAlo/T9h6q+0zyvqEy9GV5V5ezx6hDOwK8c5y53TQez7CjTEBfDzKAQ/KL2IY72GlYkq0KZqnYJko/sMOAk3vEfhDPd5Lij086cm7BhNqmlpcp79Ldi7CEtEYKZXr6YWWW4u1eXxldkSpxHtb2rW4ClTDl8YlHn7vdrt2enpqf/Znf3bj+MW7pK1NmK8DFEvKuCm1KR+d4x0DwduR1AGr4keBDlaMRlvFvEGsk07rkOcEI7mo48yAoLZTt3CWDCLSesFITXCiht0DXhGI8XYIZNubPVlEDgVpeEKTCXVjayQH+igjkodXJ/MN/YUjVwCS8c51XF5e2nw+t9lsZsvl0o6Pj5une9xvkZw8qgFXXr/U6KDXNxE/EY8InobDYTP5zSs4YBNU3p3O24my5fLtyyQvLy/to48+asphgAa5QrY8kY46Dg8P7fDw0O7du9ccC6NtjYKAWorSK3j3wHONHSr1m9nbvoaMj4+PbTwe26tXr1acYQ0AqfU1UT6MEQ/01Mq1DVBaJ92Phe4S1GV4BPc1sGE7H4F0jxDY9Hq9lWPG2vav1n3bpNjAC+Rr5JiVn+VvE2ApRcecaAAbBYDqO6Ix7MmIP23akgWc/NuzQTU2W6lWhyIsE8nfe5BTwkZ8z/vOeMv01CPlveQ3an1aW/2ttR81ZUVlejpZ8kdcRgmvab/WtInxDBYXzOfzVjsTb9s3sv1HffzQqm39d+3La3WP27m3t7cyOZjFAdugyDbVjn2P2viMUryr/6P0WRu865mfqGkD88My5H4srSxXXrx2Ki8lf8a65MUHbfqT7U+bOI/b4GEWjF/P1vAYj2wiYrXl8nrBG7/Umuc58OEdKlqn7oBTGXN6fWDuHcGSEdJxXeC11EdRf3t+Yp1xW+s7SnXUlFFKo2MqS1vL823Z0W3FATVjW9NtQm35Vj1TDAx7p+9EuWvaeMJcgTNTSRGzsrSMDOAx6InS1gCMg4MDGwwGzTUYGpxtzDxFBt5zxDirGmfmRga7xN8m1zMg4U0CeuWok9MyuA5vBavyA4fEL/1TnkBYOeYFZhpson/0yS47D6Rn4BEFCfhGWlzjM9tVfhrgoczFYmGdTsfu3bvX6BpkAcOgk3f6xBj3dPUz8wJetb0aWHn9g5d8np6eWrfbtY8++sgWi4U9e/bMXaHP5Old1P/ezgQuw+tDj18GMuiXy8tL9+WyyiPKw6oEnD2Mc8ghU16prysVh8Nhc75Wp9Ox+/fv23Q6tcePHzdpZrOZTadTe/XqlZ2entqzZ8+aINLsegXQBx98YB9++KF9/PHHzTYk5i8DvDVyV7nxuNOyOXhU2assIzDo+QbdnfLxxx/b/v6+fffdd43uZW2L2uvx5bWZ0zAgzuSq47iUNvuPa20A5F1Rjd68bxT5aV45hf7V1bEIvKKdW51Op3npG46wMru5mqiGRw5Io11ETDXjxOtPtpeeD90GoXwNFGt0KxsXuB71S80DYt5thTIyO6rBJ/PRBmOWyo76StueXVfy8Aj7V55gKNWLsnTXGr/AXtui/dNGnpHPAUW7PdfR5Zo86isjXMPyVdlrG73/NaRjJPodtYF5i/yV8t/GX6HvsVsXuxojXLCOL1wHJyC9YnXeodiWds2Hgxjf4IMFG+scvaRl11CUN4ob1pFllDfS7Wj8sS6Y+Ud1qZ327GQb2Wbt4PEJTIB3qmXn+LJNj7An/67tS8QhyBPNZWT/VW46Fj3SB7QsF7WtvKOX61FeIr9xdfX2/XK8Q9tblIYV7d7uZa0nikM1puOXBiPmLC2aVJkgL1/TnTMqywgfa7lK6ic8Pr3r0djX+rx0beOTzE9n9716OW9WZi1fu0jbiEm31TbG5zgaeBv8bUJbWWFeUuJI8ZUyYdQGWrVpmWCc1LDxtrXSoIsGOVZYYKs2O+SI7zbgoQQaIwfBzkaPd1DDy2VlvHEQFdWlQAIBlwekI2DitVH51jr4PgdypSe40b3ISWjA6LUXBsB7EWcGLhTAMeBnMMOT2gr+WJ/hsOFQdVvcZDKxTuft5D62hnl6wvzWONdMrpF8tawIdHM93o4Q5GewgzTIo2UqXV5eNhPg0+l0RZd4MgYT6Nhhgkl8TLCPx2O7uLiwxWJh8/nchsOhffTRR/bw4cOViTflm2Xg8ZjJJ8tbK+8S4OHfUXAC+Xc6HRsOh82K+tls1uopcsZLlL4mmInGZCkAidJEPN42AMAKfn5AV8vb+0wRaOdrbPv1u8YOgPhlNLqlmHnJcA//LoH8ttRGZ9Ve1oynrB6VgXfMVuZjo3JxXW1S1lbViRoe2Fd4ZbHe6APNDMN4vPO9tjY94l3Js+NemYwDFNPwVvUaW+q1N1rJq3KttdOMg0pl6nXvf6Qb0QS/5+fa+qY2pOOO+6JGJ2r9ToYhlDx7h503ePGnl3Zdu7apPBnzbeKD8dD/u+++24gfJZajYtuafOANRzrwjsc2xPUtFgv75ptvVib32hJsS7/ft8PDQzeOiurna2ynfu/3fs8ePnx4Ywxn/VqLY5E2i11q/NA6pP6FH6Z7dUe/s7L5dxu+NQatKSvDZSpj3iXNdlj9jvetfrtNW0CYeMd1PXmA7a3OI2isxQ85OCbXhx/L5epuc77Oba6xfUjDuMSzt16ZJd3w/HQWj+J6DRb1ePDSRfczG7JOvJXVCx27zRhu25Thy9r8ZrFdrqUsLdv22Wxm33//vb169eqdy3mrZ5ivmzYCT6zkXlBTM9BKgAyGsN/v3ygbRyhk5ZYAOlaO4uV20SSeGhtPJioDNoAcxKhsvDI9+eiZ1prWy6Ny8Ryo8qpna2HCnLcgZauH8J+doreiPZps1Loi2Xiy02seSGEnq3Xj3mAwaCbMua1e0IZr6JODg4MbZaI9WD2ClbpY1aP6zStPZrOZzefzG6sXLi4uGv3ll3/yRHMG3pj/Ul9yHm27B440jxdQQM90bCCfd5atlqFAzext0DCZTGw8HttkMlk5roUf1vR6vca24N7h4aGNx2O7f/++jcdje/78uU0mEzs5ObGjoyP79NNP7cGDB9bv91fOmWe+M4elYxO/+Tx3r01eeR7QgdxqAYjX/yC07fDw0MzM+v1+8wLVzH4xbxlFfsWzX9r3EfiKZB79j0BBrS/blPb29uzevXv24MGDleNCdpXa9rGXv5SPwVik/7AN3vETmharKPHQXY/XysaY979Gx7K21eYtBRgl8OvZGebBkyfb69LLCjOf6/lefHuYT/UK/e/V7ZXlfdRHwMZ7bWXeueyIRy5XfWpm/702KEV8qC/EAyB92be3IzCrWzFmhB89+4s8ZjdXzmmdGRbnNNH9EmUYrTRWtIyIh6ycjHfV+xrd2IRq27u/v2+DwcAuLi5SO3jX5OHIdeWyv79vn332mT19+nRr/DGtyxdsEnZN4l042SRiSRfn87n95V/+pZ2fn6/F023Q/v6+ffzxx/bw4UPXztfYCvYr6/pgYON1qDTuYYujnaa6G9Sz/1nfZuPAw2Ts86LYzCO18Z5N44nk7PgZ5Ze/MdkdnRuu/hv1ml37qPl83sRMWPioPhlyx0MpJdQRLT7E4jmkxUMtlTk+4M1btZ5hSeTVo4W9/ijFLDX97JHiGL4W1aU4z0vHaRSbaTousy3fivdwb90x75HX73pd+YryZ+lKtqBGPp6ca6gGB3B8NpvN7Ouvv7bnz5+3rmvbtPUzzL3B0EaoWfASpVmHoPSYJOTrMFrZebqlIBhy6PV61u/3rd/vW7fbbSYyPbALBxGdiaWBKHgtDRI2jpzWC0CioMWTXxRo6UMBOFU+fsLjV5/o8qDRtEh/dXV1Y2KRQYVOYiK/90CgRq+8YM/Tc9StZ5kDAAyHwwbIgmc96oTPOIf8PFnwanI+LoTPWOO6ITuz64cVCsQUePV6PXvw4EEzSaxt5QcWHkDN9EpBqm7jr+0bLU/PCFee1ektl2+PTuHt/kgDPVssFjYajez8/Nw6nbcPInjlAPeD2dsAYzqd2mAwsOFw2JR7dHRkg8HAHjx4YJeXl3Z6etqsMO/1eo39wbFFbBdqbKTKTXeRcN7Mtnnlejx4Nl/BruoBZNTtdm0wGNj9+/ft8vLSxuNxWn/GK6eP9EdXAmdBRgbUI15q7cg2/Ni7om3y7wVk61INOFR7owEQ21ovOEWZeODY7/dtMBgUwX1GylOpTRGV0ma2I8JrUXCjGEBxANfhyY93NWVtiPRD+6UUNNXgUc8WePZAv9lHezLw2uXVrUFZdMSM91v9G+O+SC893K5b/4FjgF15EQmPFcZbjAXhOyM+kC/q96wPtK8iXdU0/IlWuyt5co90KiprE/sW9XuUNtJz73oJ77e190h7cHDQPExkXOfp6l2S2tt17Tby3iXxuDaLH7Tx+J3P5zcWIkT0vuMS7zeoTays92uxJtKqLdJyasYz+hEP4zN/4MVtWlbU7uiaFyeX6tH6PPyli9XYLvOLO3WXk5bv4QGUYWYru665DG/SOJIRT74jjR5Hs1gsmkn1qO34zfE4eNH7Hh+Z/4ny4fpyubyx4E1jdua5tJggGgu1WL6tzayxSSVcpz6nbd2evmi6bfkCD79sM04qUYSjtk2ldsEWYAfvu6aNJ8wzRSwpcE3ZXtrMwDFPWf0w2lh5ycQAP6NSWzudtxPyOH7j4OCgeZFixpPnbKP2qLNR8oIJ5VkntNtQTRAK3tQoe44e6bMV7riOyWF9uIH7cF5ZWXrkThZweX2i7eT2atu5bYPBwPb3920ymTQ8KhBB2lIQzv2vk7ZaL5ym2fWRQwAYzKv2T7fbtaOjI1ssFs322kwnlTIAGo0jlnnULxkoi1Yq84o1lheOWrm6urJ+v7/SPkwYTCYTu7i4sNFoZEdHR83qccgeYIqB1Hg8tk6n0xyJ0em8PYYEE+dmZufn59btdu3BgwdN33h6rW1E2zPwqhMLteQBAK/PMnAegUL8vrq6ao6qOjw8bMaDZ6+8a21JAbsnu3Xq8cY+j00uuwS83gd6n4Nq9JHXBg2sMhyBCQnswOE+rdEhz3+sq3e1aSPbHI1z7z/LRn04fuv44nxa9zbIqyOzIZHcPN/nycYbv5lfU95K97yP8lfCXoy5Ivsf4ROetIBvw8IEHJmFPN4D5ujogIwHbYeu+KuVn1J2r7YvPf49+74pRX1aM05qYp6sPJXDumOT6+GXpmO3AqfZFT+4Czy0oaifWPa80GK5XH3XQAlPv+9UmiOI0nrXI7yWjadSPI40Jb1DOXyWdsRzKQ7I+Mjqbuu31SZGOMcrH9e8HfMlPji9lu+dOV5qB0h3gWvcAP9otvpONC+txrRtYqwaLMU+X8tE7O8t2vTK8HjS317+tpTpNO57mNOTc0YlnY8wn+JcvR5hsXVksS6OqaWavmvTv9vGP0yMRaOHQXdNt3okSyRMdSZekBmlacNPNsiwgoZXx3BQoMeGeG3Q+vR/p9NpVpbqCyOZHyiGt5otClRBvHVc+YvkVwogzOwGLzzJqIEYGzye3NVVnN4qIuWLX6QZ8cU8MV/YMsUvpeI6IkObyYT1A2m0XP6vwSn6Vc/Dxzas8XjsHpPR6XSaVSEwGDiKBeXoUS7cPkzgaB/gyBbWb24fO3U8TMIE+dHRkY3H45X2eqveFegoANB7EehRyowzt0OBDbbW4UgKz7myLqE8M2tAxmw2s9lsZhcXF7a3t2cPHjxYWQXBq6k7nU4z+T4ej+3Fixcr2/swId/r9RrbwBP0sEMc4HA90QRC5MDZPugYKIF6LluD3ciWaV4m5R8fbKvd29uzH3744cYqxojXiN/sPtsw3pGh7fXKKDntDNR642AbIGjbdJsgKKrPo1I/atoaWUa+FrrA/kRBGttG2FiMYzyczYK6LOiIVlyV2tamr7wgCdf0YXlJ9plN9/JzO5TnKI+HgyJ7xXYuw6Keb/J8lFc2p9GVb17Q5NlCrw9wD+XCV+lqba4HdisqT9vg2WpsB4dtXy6vj3BTfVS5cXsUg4A/4Dnv4b3KUnd54nrWPm+M1MhC8WvWH9q3XI7KNqO2tl7lyt9RerVPJX6ysrUM5b9kd5gPrBDr9Xo2mUxuHFlUatu6lMk8wqy76I/bEGTKu0S8MQi6TfnfJXl4mO95v73Yg6+XxnZtuXxdbWWJvF2aGQ81toLv6xEf+mJIbose6eEtLlA+1Iboh20A7ITirmghH7fVkzmXDV/C3948j+fjMr3QNms8rL5aY0z2e+ojvW/uC5Wvt2Jc5Q+fj/jUkxfzqb6/BueVKMrj4YhM3zlflJ7xk+fvPaxW8hkq19vyXdsqW8fZOnwo3Za/UPvQ7Xbt5OTE/vzP/9xGo9Gt1NmGtjZhbtZu0pypBGy0jJrOUlCvZfIENhsh3jpaKj/jCf+73e6NVewKFj2D1IY8A66OIuLPqy8yjmqE1eB75WaD1QMc6hzVuKnD4fqyM88ycMNltTGcqmORroFvNgQ4ggX6pgEjZAEwowGk9onyA0eBiRzWa31iru3FVnnwhBVlmBjyHhBwWzOZaHrlO5Kx3o/IK0Mf9njBUsQHCMejzGazZseIBwC5fPTveDy2fr+/8uIrbN/DViN+GMLfnlyjNnu6kNlfHcsRZfbZGzcRf6obmubo6Mgmk0l4DEZUf1ZnNi61Dd69rE2RHns81tjDXaFd4K2WBx3vJT2O8kRjLvOBHOBhYiLyM5y3tj3e9XWBqmfbvMBkHRubjZ1szLflP5NNSbYRPmL74AVCXvvgX5HGW7XG9SgGi4I+Ts9YRvnl47WiHUglYh1mf6V6r/x6do/Jwyee/NSnKaZkuZV0P8Nfyhu+2/iXNnqb8dp2DNSmVd3flv2OyqmNjXhM8Uvja8rYlEpYI0t/F/ytQ9F4i9JmOzSysnex7ZtQpsesHzXHX7Xpg8inZHzqfX1wGVGEOzLfzL6E9Z7jUS2rrT30/K4Xg/GCIG8lvSf7rG8in8NpM39c0yaPsglz/I/i3Ui2mU3K2q358c2YIsKotdh13VimJmby7kd6kOkl939NXJyV6Y3n27SX28ITpba27cOSXy3hRM2juJBx9mKxsOfPnzfzUO+SNp4w90BvZtiycryBHxmXiLwBxuXjzGE+D+fy8tKm02m4srzGYUWKPRwObTgc3iiXz4iCUY3aEgUsURom743L+O9NzsEAeAZcQXDUZnW+qiP69BL5deVpFFyhbHYA+CAIRHkRT7jGW465H5A+ct6eTD0njTLxwSTpwcHBykt4VN7M02w2a4Ln5XKZrgJQGaseoD0aKHPbwCsmgHAG//HxsZ2cnLgv0fScCMvt6urqxkMqb1zp5AP3MbfL0/vIufFKPF0JriACKw94RTnO1caK8clkYgcHB3Z4eNicXcyynEwmN1aH4/psNrPLy0s7Pj5emSTXFXmQD/QaDz5w5nwEhHXsZmM0Ah7eWMv+M/HDCZWr8ogyoP/37t1rXj67WCxWVpkr795vbYv+xnjHGMCRN1l7snve2PP4zHT1NsHW+0Zt/Hrb+wzAvJ1HPOY6nc6NFzzxOMV4HAwGdnR01NjlGvCs4NTzM+vgpxJ5/jwLwDwslo0PnWzwdqixf/X8u2dflN/SGNNyPJ+seTN5aD7oD+8o4F0qXAbObh4Oh7ZcLm06nTbvtOD6mE88kGb989rMuqK4gduj+E7vY0U5YxRc42M02Faq//ceGKif0peiZbJXvksvgWYZRA8nMl+o12p8CtuTkt1SPV6XPF/jjQkvX829qGxPv7yxpcR5ut2uDYdDm06nKw95+MjBbVImb08Xfix+GDoJ3Agcte6DtfeV1Id4Y1+v6eQx58dvjbk4duO6M7/mYXElxiGZjfFsC4/ZaOyClH/w7i2o4liV25Ud8aHtYZ+h7eQz2j3+PXlFdZb6n8cJ++4IYyg/6oN1nkAxo3dkrOqJ1gkfyv65RJlNZqwGP668efoUtbmGhyyNh1UUE2UYtaZsYCngKcVeXv01ON7Lo/fWpcgecNk1/dCGIplGfj3Dyvpbv3lBBHSKF4XCHiyXSzs/P9+JleWgrawwz4w5aNuAJAKhbCDV0TGQULAfbVmL6q7lESvMzepAplKNAawJALyAKSunFnC2IXVeWhYDEc6jDkX55Ukwb5WA1t+GXw3KuN4oAPP4VUftOdeI2PlGTp3rZp6iMcLfXn345tXo/OIFr42efmrf1pCWFRnyGiDFYEdBGj+0Ut3BxAEmuBHooZz5fG7z+bwJ+PiBBq8kx9ZYnWTQiTsFWJG+ZO33yAOK61AJDJd4yPoL17Ftm18Q1oZnHVMRHwxCI0Cu+tOGsnG1LYBzG1Qaw7dJmV9qW06kZ54Nimx35HOQRh9k1fJaAqUl/jziYKaUvuS7SrxGvGkb+LNcLlfspOKybZBnH5nP2mDPK9fzY1F7WSY42/7o6GjF92CCAbx55Xj1KF/RmPGwispF+VUfxEG0PgzQ9qosPPzN38ovf6sM9XfWz3rNC2L5Xs0YKJFXnteObVI21tvGF1quluHd9yiaMEAe2MoIy7xLYgxwW322DnnjK0rD5B1p0TbuMdstWdwlqS1SW1byW9vQZ8b90cp3zwfxvdr5AfVvnL/kR9bRq6ytzFNNTOy1yfP9URu8B3br2lC2y96xk1EbPGyCmLvmWFmv3CwGUX69vJqO61devTxefUwlP69yy+KSrA7dtVDDZ0nvuN6Snt4G3bW/9MZTTdyAb2+eRefs9BqOwr24uAgXzr0L2sqEeaRs3sBSyoLSLG800WG2utoJncCTVsh/dXVl0+l0paxswjWjqG337t2z4+PjGw6I+VNn5w1EdY7RuZCe0/HOu8r4ZyVuCyQz+WGwoVxdAc6r/Lg8zuMFdPpman2aq05IwSSni97EWyMHdvo6uY3JVD7mxHuy6+kib61EWtUXPJ1XkBPpdaYrqAfHDYBvvOASEx/oM+bNm0BSmWr/K1iCrFQ2rO+15/oxKEI5vPqNV9xj+89yuWxWk3/33XdmZnZ4eGj9fr9ZBT2bzezZs2fNzhT0Ac4jHw6H9umnnzYT6cPh0A4PDxvesMIcsuMXqqEP9HghtW8RKFOQ0QbMeOCt5CR5zEY7MrwPCP3R7/ft8PDQjo+PmxX5zJdH2XXlVyc50deallfXaMCivJfAVQ2vu0Ief3fFcwbya6jEOwdlqIv7mW2t6i/8DewE3j0wGAyaF9aWJiVYnzzd1LHG9beVQxZAeFQzrku8RTaKefKOFCvx4dkSrz4tIwq0vCDRw2baTwz2zWxl9Rfay/754ODAPvnkEzs6OrJ79+7Z1dWVnZ6e2tnZmS0Wi5UdNNqWqG0qE26zBpdRe7wdZp7/xPtTvLLQdsaunkxryMMg2g7VG8VxOs4zfWYdVlycyVX9gLZbZVnqw0wOXE6ULhuHJVuajTP+7/VrVndU19XVVbNoCCtJ9ShCxbh3TZFNqqHb8pGK83WsePVjRSXsEb84ftfxxzYo0lfslGGq6e9sXABDZHZW4zq1KREfGCe86lrJi3MizI00Hn71ZBbttGe/oUfQRcTyYv7gJxmTK+9ee0vzGdo+bSP7bIwT3lGN/Do34+3E1/Zxn3oL3LxxG7UVuxl5B2M0B6BYJWoz+1Ts5PV2/3FalaXODamOR/2R+aUMB0D2JR+pGBtt7PV6jQwjvxy1VfuO02n87fGiZXrtVapNty3KsIriebUhrAM68c27JTGXwd/RpHmn8/b9UNPp1J49e2aTyWRt37xt2uoZ5mb+06g2jV1HQbyBhE7QzkFn64tQMiWNDHcNXziCg6+1yZ9dazPoMkNWCsC8fOsOZC+vtslbXcoOo+Soonqj+5vqXMkRRHL2+EFZXvnq9Dh/BJA8HhW8eLwoDx74yxzsJjqi5I3PSG6cRvOq84tkpfnwsAAf2JLpdGqz2WxFFiiLJ7sx2Y4XvYIPlh+vXmdHraAN6b3vSD6ZvWmjm1w+p4lsEgO3zO6xnDEhye998PS+llfmhVf1m9mK/Y/ap3XsiuO+S9rmWC7VY9bOHq/Lmzf2vcCOicc1r5as0Qm1PR7pOK+ldfNk9i8iL4BoU59nx9btv5p8bXiNbGDUL1kwxLrS7Xbt8vLyhv2prRv3a+xxdJ8DH/DF9WhwyG1SPYnkUYOB2lCmH1mbVde8ctricPVF6y6siSgaVyXffhtUqiPCjaU+QSymWNLs+oHTXbRP+XrfqOQ/2C/VyvLHgGvWse+gzBdG9icap5m/iOIRrYv7sZaUl1Kfon4vflNb5Nn9Gv0q+VQ9Hre23LakbfQwXxYTl3jyyuAYj8uq5TeLQzw8pfxkvJqt7sxva+8V+2Syi65lmKo2fo3SsC3kcbRNex/JISKWURRfeHW0xbnr5K+haIywnPkhnx4viG8+foUnzPkaMPNkMlnZsf+uaaMJczRQKTIuJfDPBhn3dcWBgt6oPHQUnmAiLSZJ8LZ2Xa2iT1K8NkUTLJ7zGwwG1u/3V4BhVhbn5e046qyYPzXKnlHidkUPCVCmPmnV+1xnZvS8/jRbfXqtDoZXFzPA4HMs1dl6L3BlvphXLnO5vH47uLajpJ+ch+WlMlNHreWiL/hJN3QW5SLYxnnZfN4ot09XrHuBCRslDpI5nQI1HWfgi40f5OjJIdIl1u9Ib7kvuJ5Ih3lSgldr42m92epqJm/VGGh/f98ePXpkvV7PPvroo8aeoN7Dw0M7Pz+3yWSysmLq3r17zQpUdSbIy+fFRpO27HRYDhnwjsbcNpymgmjISOvSPAq2vX7H/W63a/fv37fFYmEvXrxo6tBxrbrP9althQPHLiPIfz6f33jQoW1RWZfk2Cbt+0J33Y5tBUuRn+Y+ZaDGBL1gcIfJz8FgYMfHxysPwrn8yDeqL/CCUC1PAW9twBFRyc9543Udispd1yZ5fLP99u57NjGTtZe3tLqP7bkS7xSCvcG7MdTm684GnmDXvmDf7+muhy1RDnaNqd3mlaiKkVhGHNy0CeSigM5LG2Ev3ZkGWWT1gTIMHdkJ77euqldZK76vbZ9e13HvpSnxXMKwbe1shuk8nvk+fHCv12uOujO7efSA946W2yLWFd4h0pZui1dPvt51tlW8IhWLwjTdXcj2XVOkQ951jkOjGI/T4TffZz+ktrytvLkfPb/p9b/e58Ugakciu+e1WdvU6XQavdKzv6MyPJkhluv3+yv8tDkWN7I1HmkfcxmQt75UMDuqRdvGMuKV651OfPRjDUV4LfIPit88PMex+3K5bN6n5sXtER+4n/V71p6adIqXvfojQuzsPZCJxqaHeXBdMWTt7u6sXaX2RPY6k12t7/T6NrIrPE40XuK5DcyPsNzVHurYU90EThgMBjafz+3p06f24sWLnfFZG68wVwXJlJyNFqfdFg+oVx2O2fUEm05QZQaJiR2X1zbPyXQ612+H98ps064IPKlCRrxE5dTwlQ1QdUCeQ6od8GqAog87b12xws7XM86ZnNo6i8j4Z0AkMkpsgHnl8XK5XNFjzqdgjQ239+JT5lUdEjtQr54SiNLys7Z7PKi81bmDSkFNpGteH0HWOiGNFeXsCHhlOdIOBgMze/tyN36IMBwOm21gKiMFs5mueHLXdkXAySurhkoOX++Vgji9VgMohsPhCpD2+Cvxj7Kg17qV1Hso2AZolPqllmoBzrrU6bw96gZUoy/vG9X4rwzwezqmcmJcAZ/eZrVwpi/eePLsVhvdR94a2ayLS2qDn7YUAfiIl1o85uWtTVsizxePRqOVh9lnZ2c2Ho9X/AzyesED62b2gFh58AI59teKFyFDDvQ92bfxI1p2bdoaUt+nOKaE4dehUt5ID9tQrS/36qqt16ujViae//ZwsscbB9j6PhfV/bsKjj2ssI697HQ6zeKId0neQ7eaGPKu5P2uSP1UhCs9m+mVE5WfpYmwhleW5we4nNK1bNJZbafGJ5lP55gpi2G8slRGma+rpbZ4yLNJkAH+63GMpXIiv+DFm9G9jHQuwCtDZenxlOnDOg/AI2oTP5awbW286OXllc3RzqUanFny+evobcnPrCNjr7w2mCCrl7Eh5jY+/PDDJhaazWY2Go2acvhUD2+sc116H/kwf4JjDHfFR200Ye4Flkx63TvvyyuP76mBLxE/teRgYjabNedG86pynWz0Jhg5rQfIo8EOXnDOKcr3QKfKhnlhMKcy8FZ4cvrI2Kt8PP4zI+oNsiy9GgnUz86XZaBv3o4CQN4arw4cvOiEaAZEQLoqneXBTswD+9GxMVwuCJPUfJ4pr1bGylhtA7eD2w6QzKuszVbPeVdDy4aK2zifzxs91uDee3LL91V+UbpOp7Oyqoj1UnWYx4Q+KNF+43p09ZCe2cZlQA7Hx8cr9Xg83b9/v3k/gdoFGH38xwdnw7JzUd1hmatugSevreAvknNkbxW0RoBG26hy5/Hg8aVjQsc08t+/f9/G4/ENPjNwrraYdRQvEsWqGJw7nz18aQvGS8CqlOa2aH9/3x48eBD6D7Mf5yQ6KGqv54/5HvLy+IQ/x0fLyur3xiW+Ix49qg28uPwSbyXy/GVUhqdLWfsiEF0TFKjdysqL6s94Zr/K1zS/Z/+vrq7sxYsX1ulcv8AIx3exb/fsM/Pi7Y4DeS+SZnnwMV/RZDmIJzS9ejlvW1uRBXORbmUYzdMJ7XedaADfmBzxSOvUMar9VML/XntLfsXLUyrby1fjj7SsTNaR7KN6Ih3Dubm82w7po/F1G8R229PtNvV3Oh178OBB+P6jbZNnH9EG3uHgnTG9jh6+r8R96WHgLObzysnq8PwOfreRNa+MzWyI7irPJlY9X4W0upJd6+NdR16sHtmSLO5AO9kW6/GeGhNw+ZlN8mQV3WO/ube3Z/P53N1xrFgxwgrKY4b5It70PscpwA1ePdnitcw/4QFmKR6KyuQ6VSc9LJHpRManp2eZ78EiN+iw7oDXcrIYk/lTbBZhz6g9Xrva4qm2VFtHht2xu/bhw4f2wQcf2D/7Z//MDg8PbTgc2pMnT+zXv/61TSYTG4/Hoe5ndhU6DHt0eHhoo9HIvv/+e3v16tW6Td86bbzCPFPoKG2pLJSXORsPYMPRcBqeHKsNfLI21k6k8FYFGKQMiPPZP97kKNJ7AIgDhCggiIwRX/eesGZGQAe91z7c18HoGU9vm4snA3YQXL5XdtR2r/16T4nrUYfO/esFAV5deBnkdDq9sSWKH87wJDjaXnJweGEXt1Nlws6SxwgHzwcHB82xQv1+vznWInrYwvzrdR3f0ep3Ddw8wKtAynNa2m5PX3AsCvcRZIw+4v/MnwIVPSYEDytYlz1QrnqDfolWf6i8tBzvvjcGUZeSZ2M8AKpyj2ynl4blxfV0Op3mISOvdiy1jdujzpfHUWllf1bPplTjI2+T1vXLm9ZTCxzblFtKn7XVs+F8j8vmlzt2Op1m5YOmzXxJTbtq+4Bt1DbAdmZfQG18ZJRf5VPTlxkW03I9bIE0mW/QspRvry1e2zx+dRIAaXSraiQLLjsLJjUvrsN+eltiWQYl7JbhwRJF9tTzZVE/ReV66VQfvPZ5abI6PKzqta80Hks4dJ2xHPXrplRjz7w0JZnyyj/VK8a2m9jTErHd93Quq/e2eKqlyA7wyn3G8l7ed92G26BM51nPePFMrW0p1Zv5BL7m3c98l+bDf8Xj3n/Oq7aP5xiyB6k8Mc7f0Qr2yF56smQetG21lPmQWsr8N+57v7N0KKskA7WVHp7RcvmYl8iGlvxZxIeXTu3jOliQ+Ywe2COd6kBNfyq+8hbTZbgxGzNeG2tsbC15OhxRqa7IbpT6XHVIY2g86O52u3bv3j17+PChffbZZzYcDpsH4K9evbLnz5/baDQKdd6zc16dnU7HRqORnZ+fr31M2m3R1l76mQWOHuCumbDwjFkGxLASl9NeXl6uHMOS8RAZNqTTJ4xqpNTwscJ5zkDT8CQZysHHM2o84BUE1Bi2krMupffktFzePAO7pA+Qj+eMI5mpnJi8F1ppW5SXtoaZ/6OOxWJxgzcNinnVx97enh0dHVmn07GLi4umXN3JoKvGdfW4p3+41+v1Qt3Bylv8xwo45r3b7drh4aEdHh7aYDBoXsgYyVDHGMtJ0+lqcZAXMDFP0bhQvdIn29p+5kNX/Cmg1ONqVOaojydk8RDEW/3hgSUum3dOgHQFYTQ2I5DNslDnnwEjb+KHy8rq9tJx/boqwcyaBzRsF/h+ZKNRLp+jpiuueNK8ROp79HdkpyI7EYG2HxNFNrbUzmi83wZvXFcJkGHCHPZhMBg0L6T1xkOb/ozwRk0+UMknK0V6mo2pEg81+dje1vDm1RH9966zvSlhgIjvLEDhvvZwqtn1O0XYz0UPQ9UnaRszDKX88T1dBKEU6bHuysL1TXSvRFF/Rj7F8ycg2P0oXc2iA9SjH+bJ0wmWaa182tgOT0c8vx7VEfkjL33GQ5v0yHNwcNCs+It2Yt6G7fd48XBRW8pwz7aoVDYvDjAz9704bfl7H7FJiWfWr222LSsv8nmKmdkuRe8FUh8R+Qy1TboIzjtbWHcQAy8jhvFwc62sPf+si65K2CAjxee1OJLjKA8b1tbL8s7schZjMU8lm7JcLm/0l64892JEzeu1w/Nr/D+SZ9SWjMeMhxq86NXL8ubFo958kfrDrA1cNt9b18ZmuC3Ls44dj67xN8c4/G5AxNEHBwfW7Xbtgw8+sI8++sh+/vOfN0fS7u3tNe9ye/r06YrsWfc9X69zLvh/cnJib968+fFOmGeAQxW0VA5/R/cx8Dud6xcZYeXCcrlstt/D0HsrvL16siDJ40/BOP7rIfh8DIPmx6d01pJe4+uZEfQMYtRGNf5RsOU5QeTTleK88kHrQD9FzthbAcurKTh9tjI/+s2Oxesfrz9Uj9AX3kQyyuYn9JeXlzYej63X69nh4aFdXV01OqITNB7oYJ5RHl/DC0PNrDkWhLfWMW+8Ag1BDG/ROjg4aFZVartYBtp3qM/TE/AZOdAa8KL96I1j1q1s0tfLp2XyStMsP+uUd/QL6vDahT7QCRVv3GhboAvcjqyNmZPWceT1hwcOo7I9++8BFXzjaTavMI94ZV2CD8A37qP/1c6UbK0HajIQG1Hm09YBQbtMbYON0rVS/qgvI92MxmtEyNPtdq3X61m/379xnIBXJ9eb+W/FDlH7vHoyeUUBU6md+A2/UJPeIw83lLBHbR2RnKMxGvVD5Nu9vij1tUfs6zQ48PgzsxsPZiMetL+YvCAD+hCt6mMbifpQp+KQiA++FlGt7taQ5xsZVyimVLzGfaG+vpb3GhyiadfRJY8X9bVcf9t+iXjL7Krer2kH4iKk97CWmd3w/W2ojU8t2bkS3YXvjtoDuQHzQB/0ZZ9t+kfzvC/EOJupTWyB/7orp4aitKV4gUlXWWb4s8aXRWPXw+rspzx/6u2g9trq8Z/xzDxGbSj1g+cLM/zEZfNv+F59+SeniWI3fijO6b2HAjU41eNP24x6O53rY035PuOPmvJrbG4tRuW2gw8vhq4ZHzV4iIl3L6A8L/7XWFT7x2sr//ZeqlxrN7VfavFk6R7mxTBf42EcXXjJdoc/KAf39vf3bTqd2mQysel02kymLxaL5phTzMFGfLON8SbLgQ1ev35tr169CrHYu6KtHcnCv2snFUqC5TxeXggZ2/d5cMDwZauWIwWMnFOWXg0BP6mJAFk0YLWdUZBSI3sdlKWgFWk6nc4KmIxk4MmEgy8OuLh8TquGh3nyZMeDrQQSIl71txdgcLqSQWOH67WFHyJcXb09zxRHssxmsxvtQXlegMtHp2AVABtMs+sJXhggnjBnXdBAk+u9vLxcmTBXYBPJLAvkPNlyPk+v2zgTHlO6othrL/PIadjhcLklkOCBTG98aZnqOBR4RXV6MlIQzJQFXvo/mnDIyl+HtLxut7vyUsWaemBvsfqXV6fzQ5OaFYUlPrN7HgjyAKv+rgVam9C2+mtTKoHiNjxGNn1b8oTMsMICO3aiB3BtSG2j54eise3xqNeiexFFWKs2X2TPI37WwYkZb2p/2a5HWMkbe5nMajEh16WfLB1jL60v4tX7rbyxb/OwGPsrj2flPcPQnu3j+trgfK/sqC785w+/H4XTRKsra3R/XVuleTaxHRGW13JrcJfe8+Sp5WZ5tA6+pxPmnk5yvW1l5OmHxwfXz/XdlS+uoWgc8X3GjGbXuFfH06606bYoikdq2+3JK7JVUd5a8sYT96Xa2wiz415bG6SxDtev40DTZe2JfJzy6PFcsiElymxTiXQcRbxEWAa+06uL47jScZBRezysof3CDx7byEL7zqs/y8/plU+VWfZwMsMEypPHB+MW7wG/yktxUzT/lLXXe7jQxrfr2MuohDdRBuYcEQdz2d4EOX/r8bNa197e23P+p9OpzWYz63a71u/37fLysjmdACcWlNoQfZD/9PTU3rx5s3N+a6MJ8xrn1AZceuDfK5PP1WGggMmR+Xy+slomq7vGEeB3FhjiG7/1aU1UpmeslfhsZNShT5C8QC4KptQpsLHl61HQ4zlWTc9by1BfdHZc1gf6VFKNgFdWVJ63miUzwtF1XNPyeHWWGmed/BuNRtbtdu2jjz6ybrdrZ2dnNh6Pm76F8fAeWOjEPAwV18EvTUV/AEzzSlx+4Qu/pLLTeXuW9MOHD+3x48c2mUzs/Px8ZQW8p/cqa5ZzLQDygGRmD5QPrNSfzWYrT971gYAGzZ7TVv49h4jrWJ0PfrFSn1++xum5XeAHZ8RnQCxbdR0BYG1Xlt/78D21F1wGJqV17HtjTgEk5MOTk1dXV81RRx4YBDDARCbSQAe8HUaZvYnulRy3J2O1xVH9teNiUwIf26zP69cS1YDRtnXXko7bki7ARh4dHdlgMHBtb2TnvHugaDdUxm/Gs9alOtgGeEb+P8MUUR01aZTnjEp9VlNX22DG+67hMcqT4Z+SbYjwiFeGLlyA3iomBS5QO69YL+LDw/gRn5E+tunXjNif4tvzZ/xwwFuRXvKdGVaopVKbvfvsR1jPPB68fonuczrFW1pfxGtWNv7zLkbshGS5ethiHduVtZHvZf1dig3eNeluRD6KZRtj6X2kDN9of3p4zNPF2h0IEU6P+kNtSLQyO2pLaSzqsQgcp7B95zxq4/idVbywLbMdJZ+ZjbWIshhG5eJRSVaeHS1hKrZN0BWO16A3iFEQk+iO5+zISZWdxqnRLnSv7REmUd2rjREymZYwg8cb2uPl0f6J4qnIb8/n8xUcpDxojObxqboBe7sp1cSDJVn3+307ODiw4XDYxM8qrxKGVTuh/HQ6HZtOp/bq1Sv74z/+YxsMBjYYDOz09NSePXtmFxcX1u12b2AtLV9XluN7f3/fBoOBLRYL+9M//VP7+uuvbTqdtpDk7dPWjmQxKxsl73otwOEOB+DXM2p5wtzrqIzfyEhE+SKAyAO7tK0rU06vXP2UjJpnBLTOyGlqHq5zuVyGzp0NX9ttbTW8azv0ekRtQWSp37hcfDPAiow5ZAIDPhgMbDab2WAwsMvLS5tOpysPWvgoFC4DfYEJcH65LDtgDXZ4u6HqKVb+IA2OjDk6OmqeLOpRK1lAx/Xq7zYyL+XjejHByuBEH17hYYHKwRt7CmI8XlQPeTW+PuziPB5o4QAokmWtLteCFgZKaHdUVxRkegF2VD6TAh+Wg77TwQNP/P4H5hm+QF+muw5F+qxUknXmb2p0fBu0rj3W/FHAdBdtALEMa/qkNhBQ2t/fb154rLqu/PD3prLelNrUX2P78LumjzMZRD49KyvDSFmeNn0e+fV1+jHCtpEt21R3tD61g2pn1cbrkW1c7rptrKFS37a1Jx7/pRijjY3wcK5HtboUjaeIh1osxenbjoNtkdpnxptebMB66Y2Tv4mU6YfKkcd5LT5k+rHIuKTrGZbnMjiNjqE2djrqD42NohikprzMhmjZ8AvL5XIl1vDy6+7w2glCLzbP4h++XuuDorJrKNIRT/4cb0f5WKZcDscyWk8WM3l8aX94saviidp2c3mePCJ9q5Vh9p/z6XjIylU+ojFkZiuxYMYD3yth2GzH8iaxUAkPeJgJx5gOh8MbK8xLcYqHxyP5LxYLG4/H9u2331q3223mr7CYUudjmXRHv9aFsXJ5eWk//PCDff/99+0Edwe00YR57cQBXysZCW+AQpj8Ijek4y33vKpW+awBzVFAU2q7lw9PeXCGOR8RwPl4Qg0TbapQyLu3d33GFAc7ym9maDJAxYAVE4/gUQGuV47WDUDH5bLsogCPr+NccJYFZBr1iQdqIiOuK62i39wvKjt+uRf3EbcZK2lwDyvMz87O7Orqyj788MPm6RzqxHlQrOtm1kwG6ypabfvV1ZWdnJzYwcGBHR0drUwas4HC08nBYNB8d7tdOz4+bgzvdDq1169f22g0WjlCJjrzjM/SUl3BN59Dr7qkso6cGI8nTJTjyS8cBz8QiByr9hdIA2Id69G443vdbrfpJ33SDfnq2dtahtf2Eg9enhqbrTLi/oPeKJDWPvbAnZn/ks/IcXa7XZvP5yt5kQYrX3gSE7sKeJKI25QBIE0TyVv59SgCZVn6dcFVLUV1t6Va8HtXVKo/84dsq3FdfUav17PBYNDYwsjvcbnsKzw+Wc+zIKD2ek3Qwte9ICOrj/FGRJ7PreW1pjyvH2vLr7V5ei8LKCLK0jLe01XeEW8ZXta+83bz4FxJxQjRg9yo/Ej+Xhtr5BX5qSxdVLY3zrzJC/gIT0b8rbs/It9ZO+4ijBNRNtYUI3t4po2O1txT/tv2HdsP3knnLW7iMYI2beP4K4+gD7wbjnnI7OK2/Ok6pLsR+dhBll3Wlz82inSTSe19FIdqDMW+2vPtygP/10mjyBZ4dk39LviA3kY4k9N65MWKUVwDAib3jrjlPOozPBnxNzCYJwe9FmECtX0ZZvDwq/Y5t9mTh7eLA9fm8/mNOJvL47kg5pH7NJIH66E3cQ6eoknczIdnOu0Rt0HL4m/IRsvTeDCSNb8c2hs7ns7y8ZuIuzFXUsKwLMcS5o1WrGcU4eMSX3of/Y85m/v37ze7sr0dhGYx1tM+i+wAy+fk5GTFxnj4ObrmfdCeV69e2fn5uc3n81Ae75K2usJ828QdxytuFSDzAGkbbGZUmycyQl4A45WPwannUHkBXQ2IywIWdcAeP/jNgCEytp7jjAILLifrp8gRelQyallQxWkyJ1OjB1lg66VZLBY2n8/t4uLC9vb2rN/v22AwsKOjowYARyCA+6bEG843ZyPqyRbOHE8pe72eHR8frwC02WzWTEaznmobPfCkMkC9+rsGZHllmV0/PEN5evSKnkuuOpGNmzak44XL8l4UghUINbYi4y/T9Uy+UTml+wwuavhTnrzrnhNV4pX40GkAI93yWENt+1r1NpOpZzfb9MXf0nao5Kei8YSHs5icqKEafdrEvrTN7wXe/NsLFDhvG57a6nRpkiNLG2GNTdrglbVtYptZW0cp+NBrXjo9lsrTB6/e2+zT2yLPn+s1xRXsf2ow5V0T87+ujNuO522NAe0Lb9Wlpr9tOetYAOYAjyUs+q70QLFRKRZoE7/8GIhtYO0EkdqFKG5p46u2JdO2eFH9QcZTjQ/QMktpvPKzPGxnau3NprItzYtE/Z3Fs2arDyM8X6P+erm8Xgjple35dp1X8nx+yU5tYr+icZNRKYaP4qQ2fKo91HjQs5GlcR3xEMW9t03oa8S/vV6vOUsccUqW1yy2iR5u1LzIjxfjQn+9xYjIow88PJ4Qy5+cnNjr16/DF+++a9r4DHM1pCwYBXia1yNNx6sNtSOwAhrf3mpQr0yPD6ThCWLl01M4zyHBqGF1rW4H0bwM1Hg1txfcIH0EZiN+ojScVsvntN4Kc82n+WG4uAy0EYTBpoMq2yqGyVvvKS7/5tXtmcGumTjh/N5TNTasamz4Ppdzfn5uv/71r+3DDz+0X/7yl3Z4eGg/+clPbDwe23Q6XXnStlwum7P58WZi1tFer2cHBwcrk9rYIoPJ736/b0dHRzabzWw2m9l8PrfFYmGTycTm83mzuhkGGS90mEwmTXo9YxIvaeD+4/bzmee6ckjHnK7w8QJaHuM8HtkxYlU5nuar/unY1r7ROr08fI35YT3Q9iJI5HGpT4Szp8ARAIuAFdJxvsxG4qOTzV4Z3EfeGOK+5XL1YcHe3t7KsSnL5fLGii+cYQ4/wDtMcE49dDPbIhcBhmxyvRQolPJGNrPUT7tKpYBhF4nHY7SlFaT+4+joyA4PD1d2MmS6pKQ2Rm2EpvMCiAxocp7MNjEPmsbTvcg+Z0FSyY9GwUpUlleeyr9Uh7YlSqvyLgVSXlk1aVEuHxfm6RMe/PJCEV0wUtqhEH2brZ5vjt2Zepybh+29/0olDFUir56sz738kW57/k3zqgwUb5f0FrzX2obSuOF2eFiWsVOpjIyPqE4vjYedatoBOfb7fVsu3+601CMEIXdeqamYcF2K9FpxbVtZ3RZ5dpknRrAT2MNiJZvXloe7bnsbYr1RivjmoxPNfCxXI69MLp79ifjkib1SmagXZbGtinaD15DX1+xvsOJX73s+LPITy+X1EWDevE7Jlqht9+63wWdsw7zV90p7e3s3jiYFYdWxHk2htqtN/yB25Hg20w/cj+ylykztRsl3tcFxKM/s5jtVzOzGAljlj9uqNk7TsN7zinLFNR7PGSZQ34oyeWFjrb/I9KpGDoh/j46OrNfr2XA4tG6325wg0Ol0Vl7CyWVpPRFvGan81Gbt7e3Z8fGxDQYDGw6HzST4fD6/wRPbFZwe8qtf/cp++9vf2vn5eZGXd0FbW2EeBWLrEgMmBAsg3kLpHX/h1e0FqTXU1vgijTeZm+XzfnuGadMArqYMdWBt6o6cp5cuciClgJgBrne/tr+i8j3HzfxqmqjPNI/Wc3l5aRcXFzYcDm0ymdjh4aH1+33rdDrNCw9hZKDz/JIkNlKYMEc6PPFDekw6TqfT5jxyTJjzOJvP5zYcDhuHC0DO2z5ZNtpXNcFaBBZqHa/mY77UZtQG2uvoijc+orawc+DtbN7xJhl/WRDr8eXx59VVqrdE6wRVnuNm+8H95/kCjCHVTZRzG+3L7tcEOW3zbYs28cU/JvLGkUfQOQDUzC/z9Qj0rtv/pQmATTEW2/CaMbKJHpcCsYw8u0Aw5JIAAQAASURBVNXW1mSB/F2MQVCNPNEnPFGuvsLDaF6ZkX/mcjgILI2NNqRBX5tyo3ZsUobHV5YnGn81/uC2SPnz8Pq2KGqrJz8vbTQxoDseI1pnrGcUYTZvcuJd+szlcmnT6dR6vV5zjeXGY3ab47XE0y6T2r/aMcF+MGtjW6yW2fkavBjheCb14VHs7uVVqpFXNJ7Vxnt+xoulOS7ScVhL68b8npxq82e2TmPazI/p/cj3RD7fy6d5a3Rpm2M7s9lRvO/h5qxs/M78kyffrOwSab+12cXslVWDM/ANu39wcNCsKscRLL1ezx49etTM30ynU5vNZg2voExHIh6USnhquVw2eBXnqY/HY1sulw1PHmEx3OnpqT1//vzHucJ8k0FWClaxSlS3GCyXy+YcYH5SlRkwz9jUBBdZmijowvVer2f9ft8NciI56NlX0fln+PbuK69Y2ZsZbi1bV/riWA9vQOmKVZYD0ns7ANjo8FNZryxOz32q54Hp02HOp+c6sby0D3ViWNvjnanIBjRywgiAUQZWxqItn376qR0eHtoHH3xg/X7fDg8PbTweNxPWp6enK5PXl5eXzWpbrhOr77E6/Orqyl68eNH0JXjVcQE+Li4u7MGDB3Z8fGzL5bJZYa7bm9Aezs+GE7qkT9h1pTf3reoYp+X0KI8NK57CR8eb6HiObFCk694Yhr50Op0b9shbPYj+V1Dvlcl8c5shk2jFfObUVEc9HQB5+uzVh7RXV1crL1SNyo/GFvICCAAU7O/vN8AAfQsfMJ1Ob6xa935nfV0CLpzfa3sURET2W8ttA9TvmtYNKDap4y4p8osAcEdHR81qSDO74Ru88tqA/2jMZvYnKzOikq3jHUBI79moyDaW6ojawDag1KZI3hGVAoCSjV9XFyMb4dlpbr/ZNQYcDAaN3eO03Ee6a1HtjeItbiMHYFw24xJdDZa1L5NFTR95NjgL9rxrES7X9IwJPX8HYv9dE1yW/G+UvyQD9v3q6yKfktUZ9afyVVOm4rIsPfs6nGEe7TxcLq/Pm1c812ZcluTDstXdfu/SLy8WC/vhhx/sZz/7WcMPsD4wLjD5bfPIeH5XKcJRqjMe3tOdyFEcZ7b6Hh2zm/Gvll+jQyW/6rWH28U+XMupqZvbwfk9/xXJ0eMtag9f53c2wd9ouhJ293xrhsE4jc51RDFPxL/nw1lXOF228p/tkNZV0ouobeBB/V2Et5SHKK7Bdy0O4H5iUp2LYjH12yq3tj5rXWKZ8gpzvqf1ersxQNFub03b6Vy/S6nf7zeLI3EKwL179+yf//N/bv1+3168eGHPnz+3k5OTGzFLNEYizOvFJ/gG73zMLduhbrdrjx49ssFgYPP53EajkV1cXIT6PRwObTAY2LNnz+zLL7/c6GHEbdJOnWHORt9becmTdbqyPBsctYFWmwEW1Yv/4/G4WSWckRr9ktOvDbA9o10iLYMn22u2LGYOMjNq/Ck5W+SBwcoeRui1yOFHwRA7woi36HfEjwem8OZhfGAU0cbz83ObTqd2cnKyYqThBHkSdjKZNEcA8VZr/q9tU0c+n89vvJxS2xPtnvCcgOq055BrnJ6nd1wf24w2oJHTeQDb+9Y8nD4ai5G+RYFmJqcaMOqVVxpXGXn5s4BAQaSXtqZv+EEi8uCBaYlf73/NOI2oZGNq02wbzJWoTRuZavxrVF8GfqO6tk1e39TwgodvAKbr6K3SJu0rjV2tYx2d5j7z2rtO2TV1b6KbWbnetVob19YW1uhUKQjvdDorDxwZG/KuSsYkHJBlvjLCyopvgAfwolAzW3tSro3f9ajUD6WgPfK7kb32cF9UtuZtS7XjWfPwN+Px2rK2aWOzeMQjxY/YNVEz1jj/OnFaTfk8RrZp49ahq6srm06nZmYr4xIPD/R4gixuNNu839+1PNpSTTyh/z074JXrxZBZnTX8cR/iqK51bV8tVlE9j34rb6pr0XiJ6kU5KEvt2Dq2UdulbfDScH06B1HSH87L91R3auzJpvZGZcbfuhBC7zOvXJZ3v8RjFiPjOngC1e4C93SuBjdsw99pv3o7miMqxdtZHM9YDAtwsZBMjyqDr+AjedcZR5FdiXTMa+disVg5UhgPdtEeHnvwaTi7fDwe7+xkudkWzzAvUUm5UBae8vMLYTBY8KLEdSde2qSrKSPj4cWLF3ZxcbHyttfIyUDpEZhEQLjGgKkD4Lqywanldzqd5qxsfpqGgA6kK5W9bZboSwRgzBv6FQMcgBDlROfK8UsHsAo1MqIcXOK+DlxuuxoaT5YoQ/NwEOutftcyl8u3W1XOz8/tzZs3za6ETqdj4/HYLi4u7Ouvv7azszN78+bNStk8Ua4vCkW9eILP/ajtgAFGG7ClZzabrciUZYxgB+3SfmeApcY7WiWlK6Y5Ladj2bIuagDmBRKcNwK+2k9at/KI6/pSUe37SN+YV65X62EePMemOsvllkASrul4juTB/3lcRbaG9UH59/qL+ebjWPjMXbWXkQy9Nmj7ItnVgO+INgHB75I83WybF7+zvHctHw/k6VjE/8Fg0KzowLmdoAyoR3UpefbDu16rzyrr0pj3eC+NFwTyJYoCplI6HYMl/amltn3B19YNeDIePGyB91tgZTnarkeymV0/QNTJC8Y2Wr7aRl3Jx74LZyTjwTnwRRvKVurV2oQa+bbpW/U7IMaCni8r8ezxVJO+RsdA0epD7wzYUn1tqGR/PP1j/rz0nc7bHcQ8MeiN95p4R8nrr1K7s/Hzrujq6spGo5GZXfczJk6wy5QnblRuWV+01YP3Acd4GN3sJn73MCfIix04DewD18d1sg5rnyhfTJw+29Wi/Gr9Gf6P+PDaoWUgbuRzoaN2eDzyb9xjv8IPglBf7aRZJKfSGOa4ArFxzSSjyltjSZAuMIxecIwyIvL6uzS+8dvb/VAiT55efSVMF8Vk3F7ug8zWRxjG0/0sFoz0UtsV+RDgsMVisfLeLU3bxl6WsBDvcsURJywvTJY/ffrUDg4O7PT01M7Oztzxo2Pcw+nReEJ6jsm9e2bWvINvNputzCF6q9GxKOmLL76w77//3t68eVMhtXdHWz3DvDZQ8sg7oxEKio8qqdn74cwjYuOgQVGmuLjvldW2/pIx5Ikq/Odvz1CZrU6k10wO1ATsmkYNqQIjDXwASPiaplW+MtkoKGFHFYE0lh8DA+g3ny3Oes8BK4AGg7dMxmzkPECnk0Hs5AESAdYPDw9tsVg0D06wot2bOPdAJPMG8ibKax10Noa8ujSPpvEe+GT6oW3N2uG13/sdjUuuK3P4UR7vOtfHjpDLiY5x0fGVlR+NR+4zHc9Iz3rrnaevvHCbInnUyi37v47NfR/oNtrllVkCi9vgiXU7Ciq1zr29vZUj1ThtbdCB71qsUmpfyY5l9bAMvDaXbK3KTLelR/yVqBSceoFoCcx7adbRnTb9HPFRkwfHqWEng9lNf6x2TleXRv3g2V2+x9c8nrG1FnUAk9S0K9JB756m2yZl411xYxvfqeV7vr+WMtvi+UO1ZyVdLemk1rfu+MnGppatvHu2LMJLNbFCG+L6eEFKNjZum5bLt7tFza5fisYrCnn3523z977hHNXhWl1hDMyYNKsH+fiaN2bb8J5N3HrYQscHY1/G9NoeHYOezFTfIn5qr+k3Ysler3djXHu/28gziq3wn1fptjkzmfs1s90cQ2cLuTL95Li2dsGCx0dtm0pYMOIxKg/1Z1hPY0DPL5QwVc145/SRnmX5UYf3oLLUxhpSP8nnlONdSsCJ/ELT+Xxuz58/t/39fZtMJjaZTNyYYJ0YozaN6s/V1VVzNDD3IY9/+LV+v2/j8dhevnyZnnO+C7TVM8wzJSyBKSiCnikVnVe+jkK8ayoNan16rausdVDivxo6z+Aw6SBXo8SgERPmmMTVFS2ZsVIHobsGuIzI2HiTddxmnnTWs7x5EpcNMfPME9ZcT8QjrvN/fZqckQIUNnyYMMfqbl5Ni5dzoj6kx8q0qA5uF4IArBbwZMwgi18c2u12bTgcrrwklINoXbnuAbvoqSeDgoxYR7j/oyAqCso8OXnpOY9O6kb5o3Z6Y5S/lS9vXPJxVXy9Rn7eRDj+qxPjyWivvQrWl8vljQcNXj95detY1utm1+MaYwHHDHG9KtcMyJZoE9Dzt3RNUYD1rvy0Z589m7C3t9esMGd99zBHVk7GQ62/KJXl1a0Bc6nMiJcoEELg1macZLxGddU8/Gxzv5Q+C/40T1ZXjczxH6u5eVW52kKPH8/W1zx4jshLx7vYgBnYLns6UBpfNfVnQRnf1/6K/Dt4VgyndWaTEV49OoY2jUe89mT4PrMhUazgpSnxkfGqWAD3uA7vNx/J4vlsT4e5fyJ7UuJZicvhuEf59ez/bdLV1ZWNx2PrdK7fp4HrfOQieFN+36WffRfE46SNDWLZ6U4Ts5vn/0YxIMpgXqK6ND0TdDDyi5HtK+XRsaUxWiQbXayo6dvgGM4LPvAOL7zTQOXMbfXuablK0c5nXEO8ow+Do75iHnj8eb4XY1fjJvVBnt5qW3nBomefmGp4x3WVs4ctauvhMjL77LVTF4tGu+S8slQHNW2UPyoz4hd1REeyrIOHo3u8aIePYsHEOR+9MpvN7Ntvvw19rYcFMl7a4mjuQ90dwj5ebQ/aOBwO7fz83J48edIcLbOrdGtnmNcENzAo2G7GE4JQBs9QRx2/qwDBM4rqtMyunTNPPmo5nDcDCUq1QYbZzXOh0U/gDUYVoFcHo+dA1eGhb7///nv7q7/6q1AmGfBgHfICnmhbcOaYOp2OffDBB/ZP/sk/WQHznvzUEGd94D1pA1AA/5eXlyuGsNvtNscCYBKd2xWd/8Uy02Nj+LoaNzzte/TokT18+LBZYQmwvly+Pf4GL8FDH85ms2YbEM6q8njR/6rDuMbXM6CkIFdlq/2leZUPlZMH2iLwoWMyaq9SVA6n17EVyTQrP9qN4AGTaJuvJ5/I5mqayCaoE9UPPxBivhTwe+M44knbpGk8QLlNX1Njr99XagNA2wDODIBHZUDOOrGnes6ECUyA1BLmiMizHVq/AtlNybM73rjTtJwu44Xz8Cq4kn316svIszFeMFA77tvU37Y/1FfV1A2dhG1jbKDlRuV4dWXHoGjZJR6ZgE96vV7zQtAMR5b0qA1fbe6X8rE9MLu5kr/0wN7Tu031rZQv8rE6Xj37kvFRGrOKyyJ74ZWVYTbNj+OuFDcqZXFALZX0h+Mabl/NauPbIKwcfPDggX3yySfNwjFd7evZioxK8dWPnTIMj2Ox8EJ5XlyU2WP8r4k1vf/ME7+fp/bIpchGMF8e3oj8NM9F6LusOK9XVjRWvTiLV6HCHrAtVpzU6XTc8ah4x/uoLPRoizYYT+WpfckT28wf21WVE+8g8YjzZUdilHC19lkthlLy7E5WF7dD/+OaPkD15FSKOb00qgMlirDWcrlsFjB6/b4NwgPS4XC4cl455op4TidqU9YvNX5wHZvD2MpLo+Nuf3+/WSD67Nkz+/7775tdVbtK7+Sln2zEoAQ6KeKtXPXKwfeuOn41lEqeEwFoU0en5fF3LbEca54k8hEicFbe9hkYcS9Y8oAnnPHTp0/tz/7sz1q14bbpF7/4hf2jf/SPVowTE9obbcvx0nuBNYwGH32CleXL5bI5fxxPF9U4emDKc8J8nYNGBRmYMH/48KE9ePBg5UgCbgvOpQKYPDg4sPF43OwGUZ1FPiVPh1V/PEDitS+St0c1gRn3VQRss3ZwGZpXy1QQxY7Hm0yJQBPXozqZ6aXXbtWNqF1eGyMg5QFsHRf64SOhlK+ozXzNo5LN9Po9Ayelst41bQvIbZuHdfjKbGx0zbMpUQDIZ8X2er0m/W3QbZS7bpmMN7xyvLHgAWRQyQZHVAosNaitqaOWB89Ha72bEJerK2wjm5vhvFKa0phgvrzfIA7YOp2Ou309qrtWB9a1BTX31Reyf1Ffxnm9IDOqM5JnG1K9Y4ypfDF/tbJbR8YZdijV5eVT24EJc09fSnVk6WrL0Dy60vFd+u/5fG6vXr2y/f19+/TTT83s+l1EtVinRDVt3AX8sC7V9B+n2dvbs36/v3LMZOmlx5mvZCrJmu2QHoGa+aM2/VczplD/crm8oW+b+EbPz+A8aJQDe+Adi1NTjxc/aPu9Vdqow1tckdWDNMqjTvyyr1Gbqnlr4kTlRcuKyoxIfYyHubz0irEjzIEydc6pFG96i7c8PmrkWUOerml/8BG5jCkiyuTnES/aAUbEPFE0J9XWhq8Ty0b1lXRF6+UxOJ1ObTqd2osXL+zZs2dr8XKXdKsT5h5gxQdHsEAB+PgJHljetk8dJNmAetek2xEUMLLyew8HahXTG+BRMBCVgWueY8eTX7yECmn4mAjPcXhBXXYm2i6RGni0T8/p5vv8rdTpXD9wgMyw7X9/f996vV5zFAAfCXB2dmZHR0c2Go0aY81gIHJUZr5O4T9esIuXSnz22Wd27949++Uvf2mHh4d2//79xkGcnJw0L2U4Pz+3e/fuWa/Xs+PjYxsOhzadTm0ymTQ7QgCCvAn3TGa60shrG/eLp2eRLDy7kekpf3MZOg6zlWm47z1MYlvAL8SNeNNy+Xc01rPxmAXDEWBAXl4VpmAw45kf8igvfKYg8wEZzmazGyC6FIB4kxAl2ZQCghLY2DW7tg4/Ecgrja1SGbdFUSDnBU0ZXuj3+zYYDFZehNxGflEgFY1n9SleeZxWr3lpeSxqAFcC9sBiauMYE9QElN4551m9TLyLjeuIZOHhFS+dXsuCI03rlVsbkHk4mM8ljnjmvFnfatDm3YvIk0VkFzEm+IXLXju1DXdFNXFCm3IY5/J1T69Lq9Mz/rz7vL2ZcYKH90oTBJ4N4jpLWCfSkZr2eDLncvDyzwjnaVkca2S6vY7v0eMweCHLu9Dny8tLOz09tcPDw2ZxCh+LVOOLt8H3ruGZjKIxldl6fPNq6r29veYle51Op7F5kS7UyCgb7/iPNPyCTT4e08u3LvG4xgd1ls7IV1yV+VCuT8fscvk2VhyNRk38qzJQ31d68aiHdfjIMyyKmM/nzS6CiLeobZn9gWy8SXm26co3SHej8z3Oy7bQS8tle5hC73ntybBm1gbwqjxG5elcBmTltSmK17KxzTyxXke+07Ovi8XC5vO5zWaz5ljQjJC/Fht0Om/j48PDw2aRJO9A5KN5lb9SzBr5iwizZfYsysOxBr6jPsECjNevX9vTp0/t4uIirG+XaGsT5lFAxffxjScmcAIAJfzmb86nHYS63gdHriBXA71SsFYbjEUDJgsOvf98XY24Hu8Bo6ZG2ys7MoS73odqRLxgNUrL91ln8WEgBGOJFzscHBw0gO3hw4e2XC6t1+s1Z75lAZTHP0/+ID2eZB4fH9vR0ZF9+umndv/+ffvggw+aiSOAidlsZq9fv7aTkxM7Pz9vDHqv17Plcmn9fr/RBYxh1aEo0PLkp7LV3+rssiDOqy8DF17/KX+ZzJVPbYPHaxubViu/LJ9XX8mW4Lcn/4wvzevZvcjOg0oP2aK+z2SyjqxrAHNtWe+aIt2uSd/mnkd3YfdVr9QGe2lhE+Hv+GXL4LsEPCPSvOpL1i3TS+v5qlLQss49z77zPW/BQ0Qa+JUCMo+3Wsy0bf3zylS54xowsJ7J7NlUve/1pXfdy6u4pWQbNT0HQnqcW+QXsoA0q9uTwbaJeSkFoHrds53b0ikPI3O9JcyXyZjx37o8t/F9UTrGvPoOnpq6uZxtkmLkTWW1CV1dXdlkMmkm9UqrLdelEtbVe+8rZW3AmON34+CFx/zwytNnz97pvRq+2I7wgsHl8vr9XzX2vg0v0Ce0jx9WZ2UrruLya2wn+woshuGjVSOsEU04cx1XV1c3FuZwmTxhzvNNUaxagymUogVSnk33ZBRdU1+jeMuL50oxeK2eKC9tdMxrG1/3Hi5wezx5tfEDHjatwZNMfJ6/t1Je82ay8bARMKFOluM+Hh7xQ/Sa9rf1mev6F8a2ah/UZmAOeDab2atXr3b+7HLQVibMawZ+FJBC+fhFbpq/jYPaNdLAAqROEYq2XF4/Qe33+0UDFSm/GhsvjxpuLwDiwcnbQfQ8YfSndy6nOg44Zs/w7AJxWz1DjXZl5zXxNc9YYUX58fFxI7vBYNBMQGM17cHBgf3sZz+zx48f2+HhoZ2fn9v333/fvPzw4uLCzs/PQ3DPQEv15+HDh/bBBx/Y7/zO79iDBw/s8ePHNhwO7fj4uGn/aDSyb775xn7zm9/Y//k//6fp916vZ1dXV3b//n3rdDoNuLx3757N53Mbj8crOl4C4xEA88AkxoiXn9uo3+qkvPO7QezAPefqydvTEwVrUSDMOqVOh8F6FChreyK7wE/91Q4w39oOlSMebkJ3M4DorZTT8vgbT9JRB+yEdwRSBsIiWamMvPZxeZ5ubuJ77tpvZT4iu6f5syClVMZdEoMytQdskzTP/v6+DYdDOzw8dF+kHJHqDf5n52JGvjm65vFR0x86XqLVmQpus1VBURDj2ckMr3h5vUDJ47GWIlvpjcEoKIzI4y26jzR8FqVnU9TGsYy5Dm93WU1girK9nV8R79pOPj5R83q4P5NLKRDOqGRHcV+/cU/jDdZ977/X5kwnlTfNG2EG9plem6LdIt641vo8XrJxGJWT+Y6o/VyGmTVjgf17VhZjF5S1TR+DNvGRiPxfH57eNi0WC3v58qUdHBzY06dPNzomrOTD1ylz18izWV484I1dpMNqZ7w/CpgAsS0mdkrnaIM8f13yL3yNH5TA9rIN9ojtPNfr+Vg9JlXxgvohxfpeW0pyZv4wpqbTaTMZCWK7oAtmMtvEdQyHw+aoUeV9Mpk0MQx2urAsIqyVxRVefBLFLFqmhye8I9sgN/Zrnp5HPHt+I1v5XoM5o3ScXifF1R+z/KI5M9U3bZfqq47PTL8jAt8ci2ZyiXBhhHPwjbnRXq/XHMer+fTEA9UlfGc7F0t+OfPrek+Pi2G+tV7kx2LQR48e2R/90R/Zf/7P/9lOT0/DOneJ7uwMcza2bATYIEaD5H2mkmHX67jHRlsNS43RKsktAtYeUMY9PjKBDZvyFzkUzvO+9WsWUHr/cS1yjlhdzg+PcEyRBhV4UzImzWezmU2nUxuPx3Z1dWUXFxc3HEFGMHJHR0f28OFDu3fvnh0fH994qolg4ezszM7Ozuz09HQFOOK8dWwtx8sqlstlc+60J59oTEQ6o45tE6fu0bYCrxIPnvP2yoiC6FK/enx4tE5bI+BR0jtNU8ML2wj93gZpP3n9XxPcZIC6jS3eBVtY8isZtdHN26Ao6IzGURSYsE3OAqKozjb8eeWW7FAtkM18k2dPtRzW31rd9GywFwR6slfbXhPERPVG1zalqN/bygm+vw1/Xnt08oGve3zrfw9bavkReS96b9OW2yTtp2xclGTnXc/Sr4MjvHGTnRlcknmN7nv2wEuT+e1aKtlLPYYtq28d27sORT6iBmNum4/5fG6TycTOz8/t6OiomTCvpQizZHb5x0CZXVbbxXEvFu/x5B7viOcjcWricKZa/Khlsa3OJgkjvBlNins7FiIb6dVfskGenKOJPEyWs9zxsCCKATL58bzEcrlcwXcexsh8YUaZjtVguVKabC4ly1+yXxmfnk/y8tXiLh2Lns4qP6V+ULlwG3mhSlTuOn3tLdoqUeazlH89pzzzc1H/e7Ku5VP1pIQlMJ4xrnT+CjywzHhn5WKxsLOzM3v69GkVj7tAG02YZ4NZDT0m/qAMOI9NV5ZH36iPv/X3rjn9msGvgQ87Nz5bC9ciQ6vX1VExT1oWvr3JcBAGsL74iduHp57RCwpwPj1Ax64S2s5AHtfNrmWqDpxXAWs+/IdB0XPKl8tlc4bb4eFhc644JrEPDg7ss88+s8ViYR9++KFNJhM7OTmx7777zq6urmw0Gq1sa/EMKT4PHz60Tz75xH73d3/XPvvsMzs9PbVXr17Z06dP7eDgwP7e3/t7dnh4aIeHh7ZYLOz169c2Ho9XniZikv7BgwfNE3qzt09JeUsc65RHDKIY4OhH5co66xl6rz5vG5UCZu/YIR5DDMSiyYmIf+ZRxyXvNuH/HriLxr7Xdq9us+uz7T17oaQ2SgE0ytEVtdxf3McMgHmlG55OK0DO2qvXImevuhXl9/6zXtQEPQxaIkAateO2qQSAauxyDdjXum7b3mfBHPuniA887MMqPm/clerWsRud8cmU2Yd1SMed2hHdNcVt1EkCXUWn4z9qC6eNjtdjHks2LsKZXG+ECbWsjGpkvs7YBX/wn5j0YnlmdWm9kY577c7sFV/LcLbafLz7BO+z0XwexoxseFs5evWU2me2im3Z57Ces74rLvH8n5m5K6pUxyOd0fvL5fLGOclsW/QYH6/Nmb+M5ObJkf1vlDayAx55emJmTZBdWmHOZXgr9bdJaDcwLDDtbR2JUqLRaGRffPGF/eQnP7H79++bWe5PaqjGLqxT7rskz+d740VJ4zxMmF9eXjY6gFhMV3h6K82VBy8m5Ps140htlGc/I7tdGsPRPS63Bl9xnR5PulNH23J1ddXEsGx/+L62D/89/ABbChvT7XabsYy5J32pqVeWylnr0evL5ds5Dl385sV8qhfZOPPSatxYS2xL+bx8r55SGRGvUboMP9YsjGqjhzoWNF3kk/keMIL3ss+a9kZt4N98woAuWvT8XCmOi9rWht8Mx3Q61+/d04WfEU6Dvh8cHNjz58/tT//0T+3LL7/MxLRzdCcv/YQC8GQUb7GpdcYYAG2A2q5TFOgoeG9bXhbYlYK+TMbs+LQu5t0Lcr0nxO9LP0ZAgO8zZYEbAmedoMD/2Wxm4/G42UbGK7g7nU7zYpRer9esEkf+6GUU6CtsMXz48KH1+30zM5tMJjYajezy8tJ6vd7KGeRRWy8vL1eOzuBtc/rCmBIo88CO59xKjk7/R3bFK1PBa8SDx0cN6Iyohs8IVGUBYymwXScA0v7J7IdXhxfYZ/ZP9adNG9axK1Ff1Jbl2cQImLwLu7ftoHhdGdfWl40NLxDRTxbIKfEOHz2qaV2qkY+n/23lGvlpBdsl7IR7NeNMg5GovEx+KEMnIXaRaoPIjKKjNKK6Ir1YRz+ycRQFtJHd1cmPrMzb6M9N8X8JE6/Du9p+lV9J/hFe4j5ft//XkVcJU6zDh1dW290Wt00RzoomLu6CcEzIfD6/ce+2x9qPhUr2mzED8CcWhUFHeSEYH5NYK/caXBxRyUZzOSWdiGKqiGfvk5WpdsobOxpfKc+RLayVHfoQE5w4esVbjKP1qOwifOVhIM+ea794/v0ux24bXLxO2evg3hIfHt7P6DZ8Cj/kqeW1Bt+jPXqksYfDt9Hu0lyJ6qyHO/RUhAjb6jXkmUwm9tVXX9nr16+L/O4SbTRhXpqUgQLw+VE4BwiTbZEyZcZK634fKHM0y+Xqy7F0FSs/aIiMrMrLc0JZnRq48mo5nujG5C2/LIPBBqfHinPliduzy+Q5d09fo7M8vb7CinFMfi8WC+v3+3Z4eGhmb89y+/bbb+3q6sp+/vOf28OHD+13fud3mrMel8tl85bmy8tLe/z4sX322Wf2ww8/2KtXr+zJkyd2fn5+YxV/p/N2Zdi9e/fss88+s7/7d/+unZ+f2zfffGM//PCDXVxc2CeffGLD4XClvb1ezx48eGDD4XClj/Hy0fPz8+Y89dlsZm/evLlxzFI0hqMzPfUs7giwsGy5fyL9wtNPgKhoeyDaaHZ9BjwHeF56T5fV6UXpOA0/bEJbPCCpPHgywTV1WGpHkCZ6uo9rCjI9AM19ybx6K8y1HADa2WzWHPejZziibLY5yqdHNXLz0midmT57+fA7Ajt3ZQPfZd1RPTWAMPsPnfH0kPWrtHIRtnE4HDb2mXVu23LKgoVMVzI99dLq7p5s3ILU/mTjK7NlUQCalVsKUCNbo6TllDCTV5baT69PMr2OsDC/G0XlkfHjYbnIVkU8Md+Ky/ghtyc3rh+2HKv1eLdSlKeGR6VtjLtIVmbXvtA7FxTX2TdxHrO4j7jdke4pj3pGr5abPWzJylW+mKfI19cc1eCRp6ORPeB4gleZ15Dqb9YW5a+2fLPrSTacZX4bvqCG5vO5vXnzptnlqXwy1fJXI5t30dZNKfMRJXvE8cF8Prezs7PmfSa6w1oXtHkPfT07GvHMlMmdY6YMq2btr8EOILU7UVs8W6i2U/1M5u+1HOSPVlJHOBH1jcdju7y8bI4MRd04OpTnolR+0a6eyLZ1Otc78PkdYvrNcRXnVVLb7fWv2l7IKvIZXLbuato2eXba4zfTzdqYK0rnyTjDoFwmfCKOofV2qkd8lvoTabBLv9/v2/HxsXU6nWYHX038Evl05a0N/jK7nhjXRbLwi8PhcKUu3VG6XF6/C8Tsrb8/OjqyV69e2X/6T/9p5Z0F7wNtbYW5pyh6LAcmQCJgmAVgmuZdgZd1KWqbfjAZbWY3ApHIaGqZnoFlZ4mPBsdZGTpppQBSg61Su73fu0QlQOkZWC+N9q8+jWNDhAdJo9HIJpOJdbtdu7i4sEePHq0YLbO3q04uLi5Wzo+6f/++LRYLOz4+trOzs+ahlNm1ofroo4/s6OjIFotFs7Lc7O1E/vHxsd27d6+ZNEKb+K3NKheADXa6OtngyYavlfRBJxaQTicdSqT5vfo8YMM8KE9e3ixIj65HuuOBiLZt9epuY0cjJ+zZrxKx7Ynq9fSpFMBvEjyW0nNflABRyR7sAm3KR9vJkyhvBPK0HP2tPigad6wzJf+LLbveQ66I1JZ4gVP0PyqrtvxaUruZUaTfbfhYd1xGwYvXt5FNLpGWcdfYg/VNZVqb36wOU2VYLAuwvPQe/ozkV+tL3hXuy/yptpcxMtJFfJd8faTzkX9j3tr41zbk2YVaG+PpW1Z2VNe67cuwgMdjW9Lg3+zm0R13Scvl24UyZ2dn1u/33bPM1+3LNmn39/ft8ePHdu/eveqymTJMxJPSGu9wWuV1f3+/WXCE+4qdMzwS+TxMnM9ms5UHncyD2lquex15bEI1GKINlbCuXmc5ZNgssnXr8NO2HM6jO70jWhdn4CGo6jLrjMrMK8fLp23y7mfY2euHDJeUfKZXVyQXvVbSB+U9Oh7TK3sb44tjVm/yunacRDzxpDR0MspTapPnd9chjos8/eUTDxTDMMbl+tFv0+m0efiwKzFxLW08Ye51CATa7/cb4WFVKiYF2wSBETgrDepdIA94mdmNAYInTDxJhFXCOCfRA5aeUY0CdR74qsydzuoZwnwd/YezqcG/mTXbBLMglB1Uxuuukjp+doheOshrubx+yotVNGyAMEnT6XSaCfDz83N7+vSpvXnzxp48eWLHx8f2+PFj63Q69uDBg0b+0+nUnj9/3kwufvLJJ/bZZ5/ZT3/6U1sul/bll1/a+fm5nZycWKfTsfv379ujR4/s7/ydv2PT6dTevHljr1+/ttPTUzs8PLR79+41ZyQeHx83k+N4OShWXwIEQB54Mo93ErAMIifLD9D4uqfXmDjFGemeLYC9iZyvThTwwwBv/DCP2Sp0zuutPI/GkTo0D1xmxxep/DzwpXk8oBQFI9DZ2nMTPf6jPmDgoWmiFeZtV0BkkxTKf5QuC+6zsiK9Z33Q4OEu6K59Y019tSA5+mg5CmxrsQWwynA4vHHu5DrkBdVe27I8eq8tKEcatk16XWWIT3R+Yq1cMrlHYyPKpyDc2yGj5Wm+kh0o6UmWvyY44QCD3+3Bk7GRDDwbrunU90T+l8vwfJjXZvUtrE+ePYx81jr2J8L6bcqK6lffrT6XMR6PCf72iOthe6RtQNmls7u9icNaqvV/Hr+Rb6qxO1Farw8ZC2fvmNB6Mh3fFjH+AW5cLq93KN41nZ6e2tdff22fffaZPXr0KMVZt0W9Xs9+//d/38zW0wX+Vv4RI33wwQfNeb56jGukl9HDjGhHYOR3WK8uLy9tPB7bbDZrFg2pDnN6z55mY3Adm1aDXWvbmpUfYa1SHrPVVeleLKM8aTnRf49YP9T2Mi/se1EuTj/QY0Q1loz8vDf2+BrK9BZjqE9lTKN6lPWBxoQZflDi8VTSRY35Sr/1vzcuuJ01eglfoeUwReVFbcrwm+KXaN4swnCl9oMw94e5IZ4wzzBaVHbmF9vERNBbjB3w6rVbx49ilk6n05yS8OLFCzs7O7t1X3UbtPGEOSsQvnFshzoTPcID+T1aFyDvGqkRj4JUs1WjwPLCU0pe4at5o3qzAa4UAXuz3CBzudyv3uCC89Lfu0zqVBSARPrMMtGJc7zcAQGT9wLcyWRinU7H3rx5Y8Ph0B48eGAHBwd2fHxs8/ncHj16ZKPRyM7Pz206ndrJyYkdHR01q81RR6fTscPDw+a4lcVi0ayaODo6sgcPHjT3cb7Ucrm0+XxuJycn9uTJEzs9PV1pB9qKiU19cQiTFyiWZM2yVFvCxCv0s/Hg9Y0eWcBpvOOEvLEc2bFonCmwV9vptYHbqHV43zVtj+5FbYnKV2CdAT8u3xsnuIcjhzxQpfLO2tw2uMiAoGffaigDlLV8bYt21Y9GPiT69sai96mtEy9VRkBcI6fMztXoSGlceLpSo/PKT2Q3S6SBYmlMK49t6mF+S/6jVH7GWxt70EbGkX1Svr2ALAsYvbHAvyN9i9pVWiGr8mcdYH+XTZgz1WD7ErW1tzXk2Yco2MRvPSYR39n2bMbwGfbP5JTJONLnTcZQxFOpz9axMci3yUOBdfK0IfQh88lHdt0ljcdje/HihT18+NDl02y9CdW2VFqRy3x4Ng/fHg40u34RIU/aRHkiivxXDSnvfOxUZo+ieKEUo0f/+VpmA2rtbA0mKmGxGuJ2qxw8mXQ6nZX3dPGDxMxOltrd6XSaF30OBoNm8g8yw5FiBwcHTQyrZUT/tR6QtygG+uy9zJH7N/PjtTguKtPTBe9M7iw9/67xJx7maWOP1tVFz3+X6s7613s/W1RfdD2LW/XMcn7xLdJmcozsnP6ukQX8HGIinXvgUylYNhmWQZm9Xs8uLi7sr/7qr+z7779369912sqRLAymYaT4aRArnJkP3CMDlRkPrn+XSR2FBkoakMCAY9KI37isoMEbvJ5xg7yibWVmNwcDEwYOn43tOVgQBgl/oxw+02iXJ8xZLpAjB4sqP+1jNj4M/g4ODuzw8NA6nU5jhDFhzmNkMpnYfD6358+fW6/Xs5/97GfW7/ebSffFYmHPnz+3yWRi5+fndn5+bo8fP7ajoyP78MMPbblcNlsVu91us0J8Pp/bZDJpXhr6+PFjOz4+tqOjI9vf37fT01ObTqf2+vVre/36tf31X/+1vXnz5kZfXl5eNsfCQC+8J4sqH2/lNUiDTA6mPBuhqwFKdkXHmqbDamZvFZGWDd7gRFnHtW6t1wPeXhtYjyJwo3LMbIKCDtXZiFcvn44Jr9yIFEyxbRuPxzadTps6slV4Hijx+jVy5N61rJys/oy4fR7w3XUftm3y+t5b2aykY4THRBSAZ3XDH/V6vZUVbZq2BLYzEO8FDnrPwwW19Uc8md180O2d18x5eFxr23SSqCZwqukPj++sfJZNZLdK5NnQTdJnfieTAfs7JrWpijf4E2FB5SeSbaSDuAcegUF1lby2LbK1JV1po+tt+0/rQBnAGGZ+XBJhbe0Drx+iALJ0D7wo3mqjqzqGvTR8j/u5Rv6R74z8m1e/h5HbUE09mxDKvry8XNH5g4ODZoHIXdJoNLLRaGSffPJJK9wBKmHjKN02Scc48wDdm0wmTUyE4yYzfOvxzr7M25VUspXKK79zTf0O16eLcCI7F/nKEk6IeK31ex55WCzCwbUUxWN8j+vEgoV+v9+MLcRiupCMy0F+tXmIzbBTAbEtJskZF/HOft497S0gjGRxcHDg9jnbVOgH67PqQq2PjO5zmgiXgpdo525m27XuGjsflenVGbU52vXo1eXJM9PHiB/OGx0n7eGfTF+8NNBLyHg0Gt3AWZ7svXbrYoYM33vjkP0x66m2k+2c90BR24uxOJ1O7X/9r/9lT5488cS+87SVCXMYJzyR4KcSbPC8IyxqyQs0vN+7RmwUo0BUCUqPJ558DnUpAPUcpzdwovyl8jRvtt3be6LK5e5yv5mtgnovCGJAbXYTbPA27F6vt/JGYRjh2Wxmi8Vi5akiJtZhAC8uLuzs7GzFwXW7Xfvggw+aJ3cnJyd2cXHRnAt1fHzcHDVgZg0oOD09tfF4bPP53A4PD+3o6MiWy7eTlM+fP7fpdGovXryw6XTanKX+5s0bm06nrpPXN8l7/Ro5V91O5x1DojLXe97kexakerxmAJd1gIEy1+/ptvLklY37Ciq88ek55qh9WR1RO7lOTePZXvSXBiPIo0+d1e7pefgM4iaTiU2nU/eFnyUZRDKpCZBUF7gO7yGI1hPZY65Hg63btoNXV1d2fn5erMPT0Rpw7pVRyqO64D0Qi4KPSI/byJDlD2AYnVG6rb6JbJO2GfYke3jNgNcrx8uDtkU7xbK8XrDUBrutm8/TB9hBT2ciXFPCjt79dfjUYETL5OM9oonJCLup/uh49cqK7ExJtyM56sMprcez98pPRpnfWac8pqhPsnI87OvJ0Bvb0e+oHq4D39FCAY8/r39LOqx5vHwR79lRFyXydBw2OMNKuL6O7dmEMHbZ9uiEwWg0SndObpPOzs7s6dOn9uDBA+v3+630C1TyLVG+TanGr0Km0+nUFotFc1RaaYdMVl42JqL2RtdLmA1jV+OLkt5mYz2i2rEe1af1Ks5d18/zd1Qvp8GxFEdHRyuT11dXVzYej5t3brHf9OwIbOZgMGje24V5E9UD/YC8eSqvTVE7tN8Zu7CvzBaCRTgi4qsWe5vZyiK9tvFHFM9k1DZm4jxeXFCDW0pjtkau4G8+n688tCnhEq23RNBbTV+TV/WZJ9m5LUjLOFT5Rz6Ohzx8wfGJxyfS8nFIZm+PFHv58qV9++23dnp6WmzbLtLWJ8x5xTBAhne4e2SQaxyqpt1lYuWN7putAm9d8eKdyVqSnw6EzLi2bQsPHv7P/PMDFJWD96bsXSc1HKynCqR56yZ+Y8IcRgRP5abTabPiW9NDpuPx2EajUQMgsI3swYMH1u12mzcV4wU1s9nM+v1+s6ocfTGdTpuXgc7n82al+3L5dlXHl19+aScnJ/bDDz/YbDZrJvEZTKnzwvsIer3eiqPBZCpf43zsCPlYmqwu8JJdh2z5Hvcb5/f6kstTPQdxH8IxMHkr5GuBj7daO5o05rSsh9FY5zL0eCwFG8yvPthQp6ukaVT2sAXeitWrq6tmwlwfstYE8spHibwJkQgcR+BQ05cAIgPi2yYE8x6tO+FRmy5Lw8GN95Iblak3Vjl9VG8WUKAvdMLcqztqU9bXGUX8eODTy9fWb7LetQkcMl4yvrmMTX28+lrYVW8MecFMmyAkG/veda+urC+Zd48XD7eVbIb6LO9e1nb1F16/e3hNx4rKKJKbtrOGPy9NqQxPN9YZX56P4DRe2zO+SsQYuk1A7ulUTf5IF2vqK9mIWj/BAXokT29s3gXpsTo80QXZ3eWE+fn5ub148cIGg0GzIKaNrVPM59G2ZFzCOZ5/RmyEndVY9asTjJn+6b2S3Yh4KtmLqB0ah5TqXAcLZm2K7LnHp+L/jJ+SPc+wU5YeOAw7ojmG6HQ6K8c0ZgQ9wcpyPGzR1dSePumYjuw+KPLfXAbHQF58Fu0gYjtYi9FqsCn44FXB6451xtDr5OUyPD7QR/id+ZZaHF6yj57/wfvZolgiqw+UHXfM1z3+au0n/KjGVEjDuqh1IT/PX3m2g3WyZNdQHhbHnZ2d2evXr+2HH35o3n34vtFGE+Z6zAQEyRNgmaJkAzULDiKjftdAqpY8njOlZWDGZyfNZrNmi1pEkYFRA6WTbQqaI+Or+XRbLq7xbgPlgZ10222Yd0XaP2wkQOpsvYly/MZENlZkI72+SIblgifjz549s9FoZP/tv/036/f7zap1fpHo5eWlHR0d2cXFhS0Wi+ZlNWarLzfBxD1eyDsej+27775rJsrxNJ+doa4G7nQ6N44hYaPMhrsmYEY7M71GGWpPMvC8zn9uF+unbtXTccbjTZ0Mn42n9TH/rF9cho4RD2x69Xr1KVBT55c5aS6TJ6yyfs5WxrN+7e3tNccSQXe5/BJALwHLKG/biYKS/dZrWq8HxNvwfltUAmce721Jx5S3gkEBXRR4lbBDLS+whbBX3qRHCbBmOsH5S/rm3Yu2fG7aDxG/WofXPyUZee1X3Ynq5LpKdZR0sqaMiJdSORExBlbsg6MdMqyVBaER3lWc5/Eb2S/tb10hp3VzGtURUGk3TkSl9IphS6TpEDB6C1C8ehRbZHa6pCNZXq5Hg9VN9LtktzSAXoc8++fdj/wL22HveMYSJrltYp3DESFmq4sI7pqvN2/e2GQysQ8//NDu379/g9eIPDuL78jebAOXeDYt0l3mDZOcFxcX1uv17Pj42C3b++/hctwvPYjKxrhn76K2wNYzD5k8S74nul/yFZyGbfY6eEJlifyRL6qNSabTqfV6vZV3R2Fhl5k179vCAkzMiYBgN7FQDOP04uKi4UEnESeTSRNrREe+eJiQ5ZbZTw8/mVmzMAzvptNd+OvaFk/f+Z43L8ftQTq9ltUVtbuWIn+VnUxQ8nE6Zmr0UHni9NPptFnA1dYe1tSFeaIIl0f+VWMplZnKBmPCw/FIz2eXe/gV4zFbYc56jDE5Go3sj/7oj+zrr7++swfLt0EbTZhzZ+NsKHQEb/nwyHMEtYrtDZptOPa7JG9SQEm3/cHA1rY3C1B5QLVRYA2WUK739DbiFfXWrKB5F+QZLG2H6h9/dLLYzJqn4+ycsQKcSR0nVohOp1P74osvrNvtNpPeg8HAhsPhyvlsqBNn7pnZyupJ7RccwfL8+XN7/fq1LRaLlTd66/bTDGQtl9crzqPtZp6jjdLx2MBv7/gbrxx2lNFW31oA700eREBdy8bYjUBpLfj2/nsPDyJA6+mvB+hKYET5qBm/DOQ8+UNX4DPwaUtaR9sgILOrpf7GtczmZnnfBUVtAEV6ty6pbdMxGZ1HfpvywoNJ7R9Ph2r4qMEs+rumnppAfx3eWMZsR/DNtkMfjnttQ751+iyzX1F7IuwYlc/lrkOlQNHTW1yvDbgiH5nx7smtLTHmqNUL9SHsd9vyEvnCTfuLf3uT5euWHwWKWZkl/VHbyPc8edTghYiPSFe3TTWTBrVnmKtNui3y8B70h3nd29u787PMsQPP27nN1AZvav/rOFZqK/t19IpXF3N/R2NB+cvaqjatLek4z2KjaOdaNsajeiI+svgmwv0ev1H9em8d+xmN2eVy2Zxbzg+a+cxo7LqG/dayEP/iXTSQN79ba7m8XpSFo4Ix+R4t7PTkUYs12B9qmWpPIttfU1fGL9fHK8vX9RvrpI3yZzpdg3Vr+yC6nt3n8aArzEHZWKmhzN+vU06Ez0Aac0UT5t78FcYk5IAxmO2eRxmYG/7yyy/tyZMnf3MnzM1WgwGc84MnWCVnXgsAPdI8uzIJwRRNDijoi572QUlxHxPm8/ncVWouX8tTI6GTePxU0ysL18ELntYul8tmkKEf+E3UGRBnR7VLtFwum9XZ+qSN26UgDi+Ng4HAkSuRQ14u354djrzL5fWqCvQ1PxV/9eqVma0+4BgMBjYYDOzx48f28OHDBnCgXjwR5EkhTLK/fv262d55enragBIQ6uYtkXxPn9i/evXK/st/+S+N7LYVfLWZRNHrg8HA/sW/+Bf24MGDG+BWdU8nNTwQ7B3NgrT4aODnbbtjQIfrkQ3jI1mYb5QVba3TMchp9J5OdkTBFuy8Ps0GCPPsfhTk8i6MTqfTBIHYiQGAl+1S8gB9CXBmQKdWZ2uO79A6s2Al6/9t0DbLbhtI68M31Vs9uqdUXqk/o3R8HfzgRVPeFkb81rEblef5hCx9Vl+EjRBgqW+u0VuPN69tKk+2Z20eatQEGMp3TTvgJ3UMleQejfuovz2eaoK0CPvwi6MQSOhKORCv4PH4Z1vrXc90zGsH86hHYeE+fL63Cj3Sg1p7WsKKtWV699iPeHYmkrPKrxSn1MQhHGCqzmqs4PHk1RHpp6ff2f918Vob3+LJHWPB243q5deY5i6Ix9VisVjZal5rf7fNz/Pnz225XNonn3zSHM2iacz8fi3hlRImyWxLVKeXXvXVizcnk4mZWXNEC8aQh9/b+A/dCcM+3GtjFBeY3dwFGo3RyLd78tA06hNKfRPJVjEol5Xdw++2Ou/5Zi0Ti2UwtwE8htiCd/4OBoMbPLOMxuNx85/jFOgSjkDFhHkkK6+/uV7G9Jnt9xYacB72/+wD9LuNL4UsGCfwmeURftQxwOWpnGr5UMr0M9I/5bvGNmm+zHd6+owdDtHDyQzfl9Joej4KxZOHlhXZdo2xuA4uC/NUyqfmRz24xqcNsA3ObOXz58/t6dOn9pvf/MZev359Zz77NmjjCXMIh59eZWfPMrHRKClWlmaXO4AVVQ0tf3ty0LwsZygv0tWA3shZ6YQwpyn1Da9c5jaokfWM8C73GwPkDLyb3TR4yIPJRV4tq9ttAb7xUk4O7NTw6QMpAACc1YbtaFj1gmN8lsvrld94AWmn02nONAd4wPEwqks1K6TR1u+//74BuLtAR0dHzRY4HW9mZYfmjUmPPB2P0qtOeY5Y7YWXPhpPCn40rwfKFTBHxHZInSeDsyz44HowdsyseZLPALnWRrRN1wbwt6UMWGUyed8pCgBLIDh6uH6b/oF1L9oO2SYgxPc29MrDB9n1TcizBd5vHqc6YbFu32V2NWqfJxPNv2kfrJu/xpcgQNYXonu2LmqblqfXvf98PfNRUVCpYzgKQGvqqeVV73u6mukQl7vO8SO1GKG2LO+omgi7Rz4i4z/ztSUMG13blp3J6lb92oW4wOtzjgmih8B3SRcXF3ZycmIff/yxO7ba6AGoZPsyXfUo098abGx280Gj98C4hqe2tsqzux625fpqxqeXjuvzZBYdg1bjq5TPSDZt29Mmhipd5/kjHV9qF7LFgtjJzfgO3/C9mDDHJL13lEWkp21tk/YR84ayeNJRZYrJdm/3DY4rirCD4ut1XvLJ5dXYuE6nY4eHh+FuoQgTRHGCtqUtT7Xt9cqBfngLCDRvVEcb3VEbEI3ViF++XrLJjOc1n2f7WA+zI4q86ycnJ/bq1Ss7PT1deZj1PtJGE+YwcLpSTKkWhHv5OG12PXIq75r0bCF2vPjw6l82qNw+DF5MJOEoD17pHZHKnx2JmW+wNT/u1zhSXoXOE+l8nAZks6vE2y7Bv+ohwHOv12u2hMExjcdjG4/HjZwwka3OGS/WRFrVYwBE5qPb7a7ow2g0smfPntl4PLbf+Z3fsePj42bSHGdvdTpvV/EMh8Nmgn48HtuLFy8aHkA6MeIBCQVX0RmUu0QKXljv8eGV/hGIRNpoJR4Tjz3Ur+NJJ0GYohXbnFZXO+Oet/1c+eNVCLwzhNMiDU9iq05ofbpVy7MXXMbV1ZWdnp7ayclJ8wCHJ9+9vFxuVj7uM79ev5YoAnMl8oItLq+2/k2olvdt8MLt8lbH6G6EtgC+BJRr7sGuHhwcNLbZGycR4G2jM/o/wio8tlRn8FttlldHDZ9Z+7xv2Hgza/zPfD6/sUusJnDQ/2pXWQ5emYqh0JfsK2tI7Vw2HiIePFJ95zLwALvf7zcv68Y7SNQ3IE/0YCIKJEHR6h/mT7EFE8Zut9tdeaiE96ToWahaVy1tanMiHWaf5PlBDxeXqKQH2XiL6oKd1CMMPbyt/syr08NofE/lwTbHi1MiKsUCNbEC7gE/1sQYbXzutn2rJ7fa42S2TU+fPrU3b97Yz372Mzs6OrrhO8zKE8c1feRRrQ/2bE+Gq82sWWDE+ACLe4bD4cp7n2r7mVdnI4+3Swn3I9+AexwbIV0Jq+o1Tq9nByu+xtEh3svy1sUiyr/icU63Tn2cN5MnCAu8IAPsmhgOh7ZcLpuYgGMW5n1v7+3LPnWnCtJeXl42E+W8YjhaEFbT7sym4z5489qseuXxE/XRs2fP7D/8h/+QLlArxWDbpsPDQ/tX/+pf2aNHj1auR23x0oAU3+C+tzNEifOUbJXygM90OrXxeOzOBXj5vPozjIkyGaNwOfxwVuvIcIYu2mQ7wmNFy+CHSyiL5c8LZbwXMSt/3W7XFouF/fEf/7F98803zW6O95m2tsKcf2dOw1MYr8yMFNBtGxTdFnkBsVJmKFEGVijpgKolz1i1pVJ+zzlk7d4lUgOgOsb9qMEOjIkXjHl9G21xj9KDdNvMbDaz8XjcTGIwMb+YHMJKdZyp7slAeY/ofehTs3o+M7ln5daOQwBurq+Gv4iXErjn/uVtxHovKls/qMsbE7gXjRltD/M8nU4bQKsTHCXgUWrDtsjzN5sEm55c3gW10fMMrPFvz46a5Uew1NKmMmO7zZOBber3/MO6fjXDRdpWbxwxrlgHV2kZnF79HfuuTfsxCwIyvJDx6pW1Lm17bPKRVrpQwiwO/qJgu0b2kf548mMePNy5XK6eN5vZ4U3tZFtSffX8lo6NbeDgmnFVKqMWk7edAFDa1N+U2rPu+FPMtS1duY34kCcieJfvXRMmlnGmOexJyY56GGqb/Hu+0LMzSp5tw2/YTezE9eorlVvyq5tQbbuY1M4Ck/CDI/Qd+jZaZFCKz2rxnU6SRW1oM0Zr0qGPZ7PZysMDnpTDgjT4Hm4TsBzyRQuFsMAzO+ZR+VZ/UbL30f9M97RcDw8qBpvNZvbixYud2tGNo2DNfFmobagdu1xGTb4of0Ye3qmZLK+lDMt619apU+0mx1zZbgXPb0TxOsak2eqJCUp4MPX8+XN78eLFnb/r4zZoowlzGDn+z98e8Oa0XiBQCvQ8o7OLK8uVFLzrhBkH8ErsABisXV1d3Vj9E51fpDx4971JMK8dnCdrK7+k1OzmW3pvO4BalwCEvfMm0S6z63O8+fxFPnOv3+83+XVSRscN962uNEAazrtcLlfA+mw2s/l83pxFDr3gVfL9ft8+/PBDWy7fnp0OoM3GmYMA/s96p4R7u2gQwVtppXY0caB94OmtPgHO7CCu8QMWrk/PI9fV4+rU8fHGLoNLvs684OGbru5iXvUsPOVDJ+T5GmTDu5C4Dr7/+vVre/PmTbNyMeqfLNDz9FODgJqJnEzPwXekN6WyWJbv8j0OEfjfdEIlsl3eysasnHX5icCmBi8HBwcrKxvbTiBoO6IHZlkgFKXPMI8GTlG6mmCQKTqHle06fAtePo3zHXnM1gbIHu9e27PxyYEw22FdJcNpN6XMj0R84v5yuWyOaRuPx9bv95sdahFGNruJF3At03W2e5FvUjsNwsTN3t5e0794uM5YVP2R1+4aqtEb9V24pu2DXWWsxvc8fSjFHUiT+Re9VkNsL/VYw0gmuoIy0r/ItnuTbizPbfRdG5vNeBs7I72yIh2OyrxNYuy07kPXbdDV1ZV9//33NhqN7Be/+IV1u93U3vE1z195euxh3jb+0Ss3Su9hbOBivO9pMBjc8Nsl/Yv4ZV3SyR/PD0XYMbMfaqMiu4PYT3dJdTodGw6HzX3Y4pJM18Ew6g9qxlgbfxjVvVwum8nWyWRi4/G46Y9+v7+yOxp2Eg+M0HeYJ8HDFd0BPJ/Pm0VlNXZO+z/SAU8uNXLzYjtPl1VWoF2Mt5k0nsxwitnN8a+yqTn6SuXk2ROPB64DMRmfce/VUdNu5UfHfubnlT/9zQQ9h07waQfIw77Ks0msjxg7KnP4avCtD4xZ3qenp3Z6emp//dd/bU+ePNl5fa2hjVeYM5UCtOx+jXFvC3B3hbIAuLbdUGgOShX4stJ6v2vrQz7+5oGVBYYecKkxHrtGauzxze3Ro3b0BV464Z4F71y2ToZk4A/pYOCwVZpXkmP7TKfzdoU5XmbBb35Wh1QLepj3XaXIYUbgV+9HYDcb0yUHGAV9kV1bx36w8/L6k/Ut6nt2oKVxm9kArw344HihyWRik8mkaF821bca+xOVv47N2uWxYdauTaW+1/HBQUAUQNcEIJpnU4LORw+pt0mqrxogrUOlyQjP19TKUfnSPmSboQEcb3P3bI3XjgxTRLbLK5d1bB07EelhxkMbu8+EAIffr+Ftx49WwmV4OpOXyhTXPB1Bf2LXGh+lpHx4OHTbVGOvvWC7htTHe/LdZvsiTFFTfpY3So/vGpmUYjWPPJvRNn8NtuK07xJ3RvjtXfBxfn7e2AovfoiohH+9MaXXuayo/9qOw8jOI5bh9zFFZWTlg99SvpI9aEuZTvOEV+aHvFi/RN44KeXfNtYq+SL8xkQlxyR4UNDpvF3kgKNaGLchH+JaPnsadfPqcvV5nv5GZzzXyjwiz9e8azuyTWJ8aHZznqSmvRF2jdLWjOcoD+ug2bUu6S662j7KbIXei2KjqN1R2TqeuT2RHY9iNj4iRhe4RacR8FjGhPyTJ0/s2bNnza7xHwNt5UgWHhx6z/tmqnVcHiDTjt7FTtFty7zNSAdjpNBm1rysEc6AAxozW3njLcrT35GTxH8970h5USfmkecIkIdXz2Jg3VZwtSmxTqtM8JtXcF9dXTWrtTW/2eoqA26zpvH4QKDqOXBMWuhT0cPDQzOzBkBA1sPh0ObzuV1cXDRP4XnLG/SSeVa+tW/Bx672pZkP7tVhwlmoM+U0mX7ranGPuFxdqWd2c2UHOzCk0a233vnL0JlIDjwGdYU52wM8hNG2cjtwHbx6dUZvgu903u6OuLi4sDdv3tjp6am7Ai4KkGuBl17zxmJJVpBJ5O+y/Ewqu7silWdU9zrjWG0lSFekblJHTV5P5poe/dfr9cItvNugLDivpQjU8m/PNvG3guxS0OeBbbPVYB4rzHu9nl1eXtr5+XnzLozs/FOmqK+U14hHbr/HY2mcenqh/JSwq/aLytYLcNiWzGYzm81mzQPu4XC4Yo8ZX3B57G9q9Zblor+5PkxMYfeA7oJRW6g4waPS2C8FpZ4MPV/AO3dKZUT1ef2qeUq6E7VX5eTpz7r2IvOPkR2OqGQfOA3rAN+v4Zd/Ky4r5eXPOra7xK9nDzQ/L0Z5F7Rcvp2YODs7s3/4D//hykp9zycrn56+ant1h6H34AwrF72Y1uM54yVKv1gsmrPMj4+PrdfrNeVEdWX2KMP4qos1di0jjQ8YM+M/L27ifLDPXE7k27XONuN4XaqxzaDIxvFOU8TSHCPs7e3ZeDy2Xq9nH3744cpLs/f29mw0Gtn5+bmNx+PmvV2ss+ordRe1tiOz/9y+dW0d97+OQVwrHT30rmxOidj+6BFD/OAdpGNRMW20056J06scI9umfYgycLwtdtZF8du6pPaGH+RER7V6OMHjhecKVKaK2/ToJ34g6S3+5LTeuxNxbzAYWKfTsf/7f/+v/eY3v7HRaLSRvHaJtrbC3AOIUN5aAIRyaoCtKsFdTjy0IeZTAUw0OYk0+Ob8ACUgHRR8vRaQZA7XM/QReQaL6/bK2tV+47Z4fOIeJqm170o67933AFypTL7OT9nZCLKOwUmDZwYdng559TCPpTbtAnH7vDGhDiwiL0Dkj64G9BydB7RqdCULJjMQ4QEGBiF6fIbHKwjpGKxyQM7fSix/rrvT6dh4PG4m3PBSI9g6lo9nV1hG3r1IZ7MxquDLAyceQIt4Ut7Utt8mLZfLJpgYDAY2GAxWeKmlzEfwb5VRtv0/kovXBv2fydTLo8RHTmRtiniI+PRA6qayLumpZ79YP9vYGi2f86A/cRRBp3P9smeAZDNrzrhuUwfqWRdHevarDf5UXqJyozw1vEX9AD+9XC6bl57pgzlPvz374+k/60CNnV8ulytBnHdf6/BIbWeNn20zXrRMtjeleqIy1rXJqmueveO03jdTW13k+rV/dNHOuj4nwoaKi9ahDN+UeLktyupgGV9eXtrz58/f6YKty8tLOz09tU6nYw8fPnQX6zDVjGHWT+4bfQ+Opleb4dmiNnaTCTHOYrGw+Xy+gkW5vk1iEbUpNTFBDWV+2LPLTDrZ7u3y2YQ35SOKYdqWleFxTuPZLc7LC9IQu+Jh/Ww2a3an8vFwyKdl1eLMqL+imAD3Ikzqla1yznx5NIZ3jfb23p4lj5fz6k6ACFNkNgVpMtJxy2XVygoLxPjdbuvof019iqv5eoYVM+KV4WbXxznzNZ4wZ37Rdp7PYpvOfC2X13NJWOCBfsei3pcvX9rz58+bo5N+DLSVCfNswiAyFlEA7Q2QqHxVtF0jHrR6bpAXSKAtOlGEbz4DnL85rw6GyOBkRtysfC5zVAZPvGoeBl4a3OwSeXro6aiumOf73E4PMJYAk2dAPacNhwR5AjyYrb7VGN944IKn8DxhijTalsxRbwpOb5tYRiDlX/tXH2RxWarXPKahD1oXrxpHX3iT1NEEiB6Xku1K4PHqjTG2DzxpqOM2kguvGPD0K7JxzDPX2+l07OzszF6/fm2j0cim02kDtLrdrplZOHHD7dU+8v57IFUpGusRZZMENfXdNl1eXjbyvX//fjNhzlTrF7zvqG2qD1Ga7H+bQDUKwKMy9vb2brz/ow1Qrw26SrYzIwXKkb7yt447/I52ANTyYnZtOzBRYWbNyuhOp2O9Xq+xbfoiqprAxRu3tf2p5XDAwPmy8erVk+lk7XjmPlD/CoLvwApDPIjo9Xorq7VYLiqj0iSZxzvGKFZSsd/zVoLp72zMRH1X4q0Gs2p+zwd56Txinai1QerjkDaKbbw6daxynsieRWVpO7gsXWW5DcraVYsJFSvoJ6ozsseZfbwtwgTub3/7W/e827uiy8tLe/HihV1dXdlHH33UnMXLOFAXZ3nkxTG8UMLrG9YvXpFZU0/be4hxgBNxrjXqY/uKa6Vy9Try8O4BL/7y8nhl1/qyTOf13Ub8Oyq/pPuan/n12lFTppaL/5kviPjWSTpMxE0mE+v3+9btdm2xWNjFxYWdn5/b2dlZOCHrYSIl3l3spavRn3Xtjec71S/V6ty7JGCXbrdrh4eHTbvQL9jVDlKbrnro7bjmurQc/PZi2IhffCMt5lDUljDV+poaXMO+OfKDmd5yOSiL37Pn7bZQm7FcLpvFltjdgTlLj2e8MwhzAEjf6/Xs7OzMzs/P7cmTJ/bdd9+lPL9vtJUJ8zZBGCumpi0FU1lgu4vGw+z63Cx+0mO2GkSZrQ5yb6BqoMSBAW/l4DS6CpTvl4BEKeDQ/mK+uB6P2Bnc9vmx65DK1MzXM/zWoBy/vWAo0teaAJL7RAEtXvIA0Kp6wpOdupqcHRPXUwvo2gSnd008rqBzXlAdOTN12J5MdCxHYFDlnI270hhlexCBBa8cXd3t5eMttxkPunJNZaf8sgz4KKGTkxN7/fp1szpEX2KMp9beCq7IoWfpMvLG7LrlldKU6rgL8nTAA2seqZ7hmpm5Y6wttcnTJhiFDmKyt6ZOHUdenrb9mZWpvGRgPBrrWaAaAflSG+Bf8DG7HqN7e3t2dHTU+B+s/irJrc29DFd4aTno9vq6TUBUc93Td2+Fr/aD9gFwFFacZw9JNX90TTEb/+ejWDJsp/Ze26yBmPLStl+jeAF5oonytpTpVDZmvNgnk1END6pDmexKdsnjpS1leb36S+PTs1NtiOOHmrQZebJpY8e3Id9t0OXlpf3www82n8/tF7/4he3v79/AcZ5tqok7skkczcMrDb3x6T20ibC3dx9p8AJHfkkmbLxnv/i31uHZuux+xFONLL37kb3M/FPEY8kP1OCxWpwT1dkG92Y2P+KBj/XA8aJYEVzq+6hNnMazL57cInsdlZ3FUsqD/tdjeEplvCvqdN4e+8qT5egzHO9Wo9c6DmvGQ+TvSrLGB8eRYIfCtvEE4yP+z/rMaWpxHsoCAaNjvodPpeCy+QER8phdL4LhRb5al5axt7dnH374oX366af2X//rf7X/9//+n52dna0lu12mW5swjxxISQkzY9AWuO0CYaIHAQ+/2ZkDEVyLBrsXZEFh+Tpv5c0CG/72VrtqOu3jmr6N8mTBxq6Q1xaWBxs3z7jjOwL3ngHj/BlwYznythiUwxMZuKarg6MtQNH4i/6z0d3F8Wd2c1JfwXvWT9yXLBsPUGWr2FUnaoI0BQk1DtwLSjz9hO5oPyK/AgbP9mi+kn3WegGkTk9P7c2bNyuAivNx8MXt9Gwb5/Ou11CNTdKxXwuko4DrrqkGsHsPM6PgQO28t0NjUyqB5toyOp23q+UwyeuRZwezemvaWRofUboIOEfpPF+iD+rV5rMel9qJyfL5fN74GOx+63Q6DebhFyd5fiIao5Gc2vQ724dsh8665OlHZAPVRuJhfIaDdDUQeNZdPMyD15/qO7gfQJ3O2908vEKUMYPymG2pznwpU6bvEUV1RqsKa6ik6ypH/fYWS3g8eXof1cnfzAf/1m9uj+Yt+WbPP3n3IlrX12YY07NDtxE3RHa0tnweU++SLi8v7dmzZ83u0W63e+PhV+S7lSJ98HQfvhQ2St9LBR54EirjwcNSno3FsQGDwcB6vd6NuCbymdqmEmXxgJcm4z2iKE0UE/B3JMcaPJqN+6y8Gr41dojiCC6/xvYgZmC9Go/HzcrlGvmz7czsjJdP2+TFZpluePY6qxv1AGdlstkF6nTeTpgPh8OVd7phZ0hpl5Pna/keU4bBIp+nZfDZ3OAR+LXWZ5bqyPJ5WMHz99peT++4zMVi0Ux86+Q314lyLi8vm0l2PIQ8ODi48f4a5Ff57O3t2QcffGC/+7u/a//xP/5H+4u/+Isf1dnloK0eydLGEUe0DhAqgfN3Rcvl2/Njh8Oh3bt3z3UkPGDx4WtKACg6UJBeX96H1V6cxtu66xljHcCZMfOO8uAyuGxeKbqrR+qUwE5t4F0TsKAsGDLk88pi3nhCHP9hCPFkEfLmSQ7ecqSrzrkuXp3XFlzsEnGgz9uVavOUgnt9KWumO14AwJSNPeRnEKJls0Pjh3Neu7hPARiQlyd1PNsCWbLj9Rw5f/iss729PTs/P29e9vnmzZumPfx0nHWdV02pLDbRwwxYZYGd2erZ7DV+EGnfpd2LZKV+h9sTtUl3YHg66VEW0LXJq1SjE7rbxtPdtlSyEaVgp+ZahAdKQTOPcdZVDdyiQM67h63RIDx8AOA+Ojpq3keAl7VFPqTkHzldLdbT8RgF7B4/NRT1Bcr0SAMPb/W7Yii2vYwN1DdzuRF/TMojJrT0pXPKL38rDjGLbUgmGw8X633NCz54UtDTj9K49OqJ+sLjraaM6AG2tyNNy/G+dVyrP9SgNvJLtW0qtdUrm695PGo5Hi+ZrmyTNsWwu4SBp9Opffvtt3Z8fGyPHj1qrmfYpFaeWgZskHd0ifpUPFDtdruuLVHdZ7vs8YeHexcXF3Z1dWXHx8d2cHBwY5xEOq73Smnx7T14jmTFqy893+rhrBJlMmG/wJTtMNB+qqF1x5/GMkxt6sfDkk6nszJZXtuOqO8i/FPjT3QBHFPUV56vysaB1r2ru/NxtMfe3l6DE/mopszGt/G1XAZ/avNyXXjJ+Wg0anBrVFcNP1yH3vPGJ/AX5m54LEcYKpMTsBFsMx6g6uJcLQ+fg4OD5ohFlS3khTxHR0f24Ycf2uXlpX311Vf2+eef21/+5V/+7YR5RCVA5qXfFsjwgOSu0HK5bF5Gcf/+/eYaviNQjN/RYOOPtlknw9mBRmfQabChgR3/1klBb9BpXu9am+D3XVIE8L3+y5xbyTFomcinZWl+TsOT7pgQQjn8Ei9MnuukqBLrBfPj8RLxuSvERh/6nbWd85nltkwD9oiywNCzodyXUb1clrZRt/F5uqXHOXkr4/DRAN+bdPfkonLEZzab2Wg0souLCxuPxzcCMRCf3+u15Tao1i55fVrKyzK5K/tXG4ypHTG7+eIkz295oKpU121Q23a2CbCiOiLbqWkz3li2m8pQ69Qy+ZqOqQiU6++rq6vmLHN98ICzDDHGza6D3JoHRZuMCeWXdVKD6qytyss6+poFhuBLj9KL2qFleX6hRtciX6KTq54tQ73q6xiL8Kr0kr63laniTfXnpTqzsaW4mv0d7vO3tkXLMrOVBwnegpIS1ovq9MYzk7fry2s3X9vEHtf6O/z2xmjbunYNa+4KP4vFwl69emXL5dI++OCDNO06djbrS7NV3edFD7qQixeu6K6XyDbwdeSZz+fW6bxd1arxbalPFJMqefGt19YI92Q4QeO3WorGT6fTWcHtXJ83Sab8eP9reCnlbdu+ko02s2byFfhCF9G0rU95Lcmlxs9Gfa/1RRghs/1Iu4sT5ma2suDKzFZWbHt4FBT5RQ+veX3QRte4TMS8eNlntLq8VL7Xrhq91Lg7w0a1cQIvZovOI/dkCNyDFeaMX7jv+BgsLAiezWb25MkT++GHH+zZs2chb+8zbWXC3KwOAGuAvSntCkiJ6Orqyl69emX7+/v26aefroDwyDiwgkZpl8tls6ILE598brUHGjgvgleQBgY80eoFUeAP16JAOFpBs+v9ZlaeCONJPA3MzW4GLV7fcFquF3Ux+DS7fgmNHu/DaXDt4ODA+v2+9Xq9lclT8Kwr1Dig01UU2oZMZrtIvJrFzG5sG43y4Jvlxn2t+uzpCVPkhD1QYGYrAQe3Q/WCzwPHUQjs1LRc5YefZLN+eeedL5fLldUCer6u6j2AHSbVuO6XL1/aDz/8YGdnZzabzZo6GLDoy0nNzF2tUApoMoomLzJi2ZUoC/624QdrKAsMdOLYm3BBev0gTZsV87UTNRpEb0JeoMlHAyl5/jMCq9qXNWDbkyv/z4LtWllkgZ5e8+TMNkF5hE8xu97Oia2cnG84HDYv8cUOpwhToH6Wo/6P+NeysrS8OobtnVdOST890heuA8t5Y0rtiCdryFcDKzP/SJCMoocGpfdDsKxU39lHIh/SR5M4ng1S2XjEMtBtzJ4c+LrKlv0cp4l4jcakJ3u2jSy3Gh2u6UuvnYxZ+H8bf9a2Xlzz8vMDA0/n+XdtuyOe7sqPRvSu6wdNp1P76quvbDQa2b1792wwGNhgMFixyZvEYbW2UXWQj4nkyXSsPAd+5V0jajuQDnUvl8tmggtxzmAwaMr3xlutb450ivWZbZ7KwrOPrOO12Cayl14ab+c4/1Zf7j0QrCWvHV5ZWTqmWp1cLpc2nU7NzJpd0lGdXG50z5O9t0rfo2wstJFn5h9BWJiAeZ9O5+3K3nVt5m0S/P7FxcUKdgFFPjtqu4c39L737aVhHhmjjMdjm06nzXxa1K4SlRYLeG3k44XQzyXK9Br30RaUqXLmuB/l7e/vW7/fb+aO8LADZXEZWBhzeHhoDx8+tD/8wz+0P/iDP7Cvv/66yP/7SlubMG9LXtCJ60zR9Zpg8F3Tcvl2hfl4PDazMij0HCyTKrznICMnqAan5IBLDk551v8c0JWCmveBVJYKgDx9VqCi5TDVyFudvRf88rZqPo9Kg8uaCQs9poX52MXxFpH2Q+nc4ux/5NRrdVrl7oEl/h+V641tnkxoM671GuuTJy8Fml5bVD78gAmA5OLiws7OzpotlTyByfoNu4ZvHD1UM7mCNtQEJSon756Wzb/bjAkvgL0twmpgfsCWEY8X/Feb5wUlWf9ndW1yvw157bgt2pTvNhMbOonQlr+awB33mRc8qDczd7IU13m1ip6J6E0iRBMdtXIopdGytj3+It3itnn1R5MjsIWZXNrYEsUjmQ/yyl1n3GS+NcPykZ3RTy15dszbadLWtkdpFJtxmTW81ozJ7LNtasO7/q/hpw2O2gUMCrzd5oHxbdLV1ZWNRiMbDAZ2cXFhe3t7NhwOW43fWrmW/IZiCL6mMSxPPHv6G9UBu4iHsf1+f4W/NphE/WhkI7V9HnbWMtVOl/ipme+otVmRXVoX/2TtbSMLvh7J0fMbHo714muVRxtqk8dLt65tivSDj7vj37eJYdcl4BU+Vz6y123jZu9/ze+oXuYVdrzNuMzStcGj4MN7AFRDnr4Cb2c4h/sF6aLdQDzfBHuNyf35fG7fffed/dmf/Vkrvt832tqEeU0H127HZWOu396A2AXg5BFWmGMleK/XW3m5kiohSJ8w4Z4XaCIQxVM8D4AgLw8Mb/B4g7UETLHVIwoGlbgfdwloMnEwpU7emyziFWsqr0h/VcdVr3UFuN7zdJ/LnM1m1u12bTAY2HJ5vRIDT1Kx0i9alaC88f8IiOyi8za7lhnIA1fq1KPt7t79rN0qU/zWsRZNSnuyj5wer7zj9F49ane4Pm9ledY+1ked2PF4H4/HNhqN7OnTp/bkyZPmaActF+OKVyXhRSZ4gUwpsKoBvhGQ52tRwKTHAUTpQFEQcZs0Ho/t17/+tf30pz+1x48fr/gIPTbA44nlDyoB4XdJJf+j28U9ygB6VF8U5HnX206YlYBum3KjdFGbo6C40+msYJmDg4OVgA6yXi6vX0oN8M0rmhXzeXVGPi/TXbVv2rZobNdMAnj+kG2chwW8eiKbHtl8r99rdFXLYdvO/eTl9XCnh4e0rYoh9MNlKj9eW9jXlPpM77E+RoFjVK/Hl5LqpupMNrZKvHB5nhwz2XJZmS+MdMnjWfPo70iPMrwV9WsN8QP0yGbdFp2cnNjZ2Zk9e/bMjo6O7qTOGrq4uLDf/va39pOf/MQePnxoZrkeMkV4RynDTVFa2H7eEc34Ym9vr5n05slwPsJF9Xu5XNr5+blNJpNm1WO3223VlrY+VP0O70DlclgnPUysZUb4sBYv6H9uO9vArF2eLCKblPW9Zy88H4576i+i+ETHueZTHiJ/EdmzzA/V2EnNW0ofjSNPrrwC+a5sXBtaLt++t+/8/HxlvGb+NOpP3PPq8Po00i0lLn8+n9tkMrGzs7Mbq6g38SW1PHBdOL5wMBispPNwYqZf+hsr2Hm3tjfW+F12s9nM5vN5M1fE72nrdDrNw5r9/X375ptv7I/+6I/s17/+dWs5vW+09RXmbIhqnRXS/hhpNpvZdDpdOdfJA7QKbPUeKAusOA+Xz1RjlKO8fC0Dy1k53LZ1wPG7oojXDKTXAArP2WdyyfSBecE55RwgIuDU7cxZG1FmGwCwi7SOfSmB11LwqflwT8d3SbYlWXO/lgLVjF/+Vged1e0FBVy2ljGdTpsXfvKb1LVcM1sJlDTAMrs+pqgtoI3qW1fXwdsujourqyubTCYNIDOLgWlN/3mBi5bzrijTV/VZNfoNysBzzYTBuhT59ZJvqSmzlrJJFdgcDsIVlKv988ZKZrdQvvqiyK56FN2v0dcau+/pUylI9/KUfEo0KeDVF+mH1wf6P/rOqNQfEc41Wz2CMGtnNPlRGvc14z0bTyW/kmH0KE+bcai4OftEdWxio7yYZZsU8V/KU4Otb4swGcFHTe0KXV5eNpPIvMrwtqitvD3M2Ol0VnYaojw9EtCTMzAizjTHhE40bttgtSydxujeRJSWUZLVtnBkZvtr8tT0p5f+tseB6kBNfLMpTt1mn5TmQyKMqbFQzS7buybYRF7AUMJ2/L+m/AzvlIhxABZ78Dvdanko4YgaPjQdv2cuOy6yllS3eCGdYi22C/zwmRf2ojx+8Nbtdu3i4sI+//xze/Xq1dq8vi+01Qlzzxh7BjUDpTXGRAdZtBrUI89JZyAz4jsy2hrgjkYj6/V6zRtj+/3+SuDH+XS1ryq4x4de0ydkqKfm6bLKKTLiGujofT5rGYZJy/Z+7wpB9rp6lInbpQaHDar3zX3L97z+isaMp4tsGEej0Q0Dx3WzcfYCPA/scZu5bJbZLlK0Uto7X9XrS77Heu3ZEi6L62fiPtW+5zLVniovIF61s1yunl3Ox6BEbdW0aiv4THHWsWh1NesPP9XGvZcvX9oXX3xhL1++tPF4nAa9/AG/WEWk2/44X1vwHoHUEmmAFwUpUdvumjzb4k1WeGMheyiDctrwsUn+tqR+Vn1qKQjLdBS2wLP7qsO4VxsoZDKJ7E2bYJLzaL7MrqmdwjsIsMIcO0HUJ7BtqtEnrdvbEeXhRK/ttbLOgjzoDLfDS+vZ24ODgxvnQCpvkc33zsrFPa8u7R++59kpbhefWam4wpOv1sG2OsLoSMdl64NRbac3jjIZevgp0wHP52f3szI0Pcsv4y9qK8g7Wi/TV21Pm7GW+aiaMj2K8DCXW1Mep4tio1qqtcUZbZL3Nmg2m9nr16/t3r179ubNGzs8PGxWLq7rvzP936T9y+WymbTicYFJb7xA2uz6GDD4DmBTxDKnp6fW6/Wa3U68s0l1zcPwUfvU5kT4ReMpxU/4Zl+W+YNayjCF2pl1+qqUpxbP1dgpTRvZu+Xy+kE6ysGnzZhWX5OND72n5Xv3o2ul9vJvnNsOnNXtdm0ymRTbtgvEPs/spkw8GXpjM/J3NT7NwyGXl5d2dnbWnF2ulOlOrc+rwRug2WzW2EIza97vcHl5WYwxI3koRsRcAbAe29lO5+08AS/whX1V29Tr9ezo6Mg+/vhj+9//+3/bH/7hH9p8Pq+SyftMW19h3gY8eXkjI7KN8pky51QbWGX58Pvy8tJms5mdn58358l5wQX/jgxn7eBTw5INsKiOyLF5wZFXZ1SHV+cuU+R8I4OvRq2kv17faH51sCWZLZdvX+w6n89XVuN6fRQ5sYgfvrbrfce0rYDGC2yj8VXqr7ZBZzT+vP6MwKo3qeClV/492+Dx74FXOHu8hfz8/Lw5u1zb5hEHR6zPHHRkW/VvQ08jfdrlcRFN5kT3awMJLWcT/u6qr25rgqOG/8y3etfb0jbaVrJZXBePfd66qbYgCzhrgh4lvq5HityGHmV4rMbG49vzx9E52njY2Ov1bLlc3UnEq/ujI2mUUCaCJD7qCkEUtinzew+i8V/CpVk/eP1XylvSBQ2Mvcmo2rKYj0h/SxQF+Xy/9J+vRcdmbYMyed+FT7utOqJ4DbQNv7OLPn+5XNrFxYU9f/7cHj9+3EyYr9veTdqY9UGEg4H39PhAnTxi7IeX3k+nU7u6urJ+v7/if9Zteymf4mP2gZHelWxniZ+2abeNeUrzBeuUw5T12TYmM0v5lK91dKfGp9WUgXwYE5j43FW748WkHkUyVRy3ju/18BSuIZ7EcSNcV0Sb2MwarAie8OBQF2XUlOHVrWn1LHIvrge+BHH6g4MD6/f7tlgs7PPPP7fvvvuueU/jj522OmFeC3AzI1JbRo3xygx6NDngAWP81pf2eBOJWs98PreLiwv75ptv7PHjx/bxxx/bcnl9pic+XK/nJPisNC+4QHn8xF158gaO3teBpAGIluOdHVgKWjngYz53iVQnaoNjDoiz9F4aDar16Z7qpccT5IqVu1iJi+u89Sgam7wCAt9cdwRwd53UFniOQq9lK+O0XNzTlSReXo8X1TmPf3X6qE9tRsQT7umuAyaMSR2bSMv18nWVCZw+bNZkMrHnz5/b06dP7enTpzdWFHmEMrE1rNvtrryUBKs2sSXaA98lGx31ZYkvr54M/EX8vAtSXiPd4/7eBvjfJpXkWDshxlSrG961KG9N4ID7mUxLepxRlLZNQOjpsefr2S7wxCzSMc7ANc/H8qpAvR/ZSbVNWaCl9Wn7vb732hv5Z02nq7ixiocnvvVh4HA4tMFgYA8fPmwmgqbTafMOB7b9kBcHRCpvrLocDod2cHBgh4eH1u127fDwsDkf9fz83F69emWj0cguLi4aHKK+Sm1gZD84j8pbd6h58ovK8PxdtJvLs3WZXrS1dVHc4LVL44msXm9FecZDRuvYi8jmtPVhUTnRu1vWLU+pts2eP6yld+0HM3r+/Lm9fPnSfv/3f98+/PDDdNdsRDXpPDzUVi5qW7ESko9ZwQNE2ErYQEx8ASeenJxYv99fyaM+xaPMn9eMLx3nevSBl25duUW8atk1R11FvJSobR979riUPvIz7Nf0WslO1bSzhPc2JS3L20VmdrNv4Y+9VdG7QBpvmq22yduFEZXj+b514inoCOYysHhrPB6nJyCsS54fL/GMuZnJZGJXV1fW6/Wasry5hFJ5ykdm8xSHefMFeL9Er9ezR48e2ddff23/7t/9O/vuu+9Cvn5stLUJc89hZmkj8gykl4a/2wR5pTTRoNT6s8kUpaurKzs7O7PDw8OVSVCd4GkDYCJgCYPgGQHPiXhleH2gIF/L0jZ5hs4LKh49emT/4B/8gxv1e0EN8kYvbsoCXk7D9716Pvzww5X7JSoBoRoQFvHutTFy5MwvtjgOh8OV82R1m3XWRq8vM73fJpi4K/Lk25aicRsdf9QGiGX8aDDu2RFP30o6peNUdccrV8vilziZvQ1+Li4u7MWLFzYajZrjYyKgq7xwe1E+j53ozGT+v66M1+mvyK6XbO9t0OXlZfMintFoZIPBYGW1mZJncyP/UUva7pqANeOrhoeMX/YxJRnwNS+Y8fr8XVLku9cNjNsEKDrZ4cnX85OZr25jo3FPJ+iz9igPmQ+P2pS1QX2tBm+e7cOq8uPjYxsOh3Z8fGzz+dz6/X7zIia8yBtbaPXsULWPCHi63a4dHR01K4V4Agr1Hh0d3TiaJQroM/LwFlMNztZxXBNse+lqgsfSvXXIw+selvL0tCYeyerVvG3tU2nst4lZsvqjh7IZqX/19KutrraV85s3b+zFixc7O3ll9la2FxcX9vr16+YBmVk+Nj2d0TguonV8e01ZfJYuY0szax4E8mrRy8tLm0wmzfFgZqs7Wdr46xq85xE/vIz82bb8ckS3gUk2xTq1dtvzjdtuzyb2ft28Kj+N37V8HntZDL4LVJJJCT96fqsGL2b1scyWy+uzudv6nIhnriviobYsHLuzWCwabKb1tKHI7ni8MTblSXrwgRcqT6dTOz09tSdPntibN2/W4ut9pK0fyRJRWwX3zqrEvdryowkYL302UYP/bYJrznd5eWkvX760Xq/XPC33Xv7ptZHrRRqdJNPAyDM6yIczd7Ues5tnPTOoV0Cr2+Q0H6f3zrZG3p/85Cf205/+dOW6mTUr05h/lIWgTvnV4JQJ//llCgBeUb5IdzKQ5AXGXH5UNpPKVnmIVvszbziSZX9/v5ElyvZWmXhy9B6O6MOK2wQy2yKVvY49Lyj3Jh4i4t0fXEaNrdJ6PZuj9TCP2je84pDbngXonq55trO00pj1HUHK/v5+swLo9PTUvvnmG3v9+nXzQtpMPt54Aw9YOeSNMQRLkW56AWDEA36XQJ4CMo+4PZuCtDZ0eXlpb968sePjY3v16pU9ePCg2arMfKmt1WtMJZ9XSrMOrWtfIhtZm7dGP7T8NkDc08025I1pDTQjfOSlyfovkoXaG17JF61wK/kOtUs1svHGYYSzav0x25jSpHHWJsZeijs4P+znYDCwjz76yAaDgR0fHzeT4vDtFxcXNpvNmgeQmDj3bP7BwUEzUT4YDOzevXvNJBN4M3sbGA0GAzs4OGjsqL4QS/GB8p7Jx5NVTd9H10u6pL49wtmZvd/E7niYXctdx15GvJfG/G3itYinEnFsso7P0DF9Vzh0uVza06dP7Ztvvtn584RPTk7su+++s5/97GfNmeCR3ngUjYmSDd2Gz8ZvPIQFdsRRUvv7+82RUrB/sJFYIAA8qu/ViNqcjZPMNmR4iW0/rnn2qIQ1kYZtfClfRpGdbTuGa8vVfJF8GcN4/NT6mNuyB5EvaUvcRrWhqiMc80Tx065QqV/xG8R+stTXtfrJsmLcMpvNmjPDa8us8W+1+pDlx3FSw+HQlsul9fv9MI9Xn/ebdcuzF3zfOwYL80iHh4e2t7dnp6en9uLFC/vyyy//RpxdDtr6hLkqXdTJ6yhU5Jxwz5sIYWNUKj8ru6b+qAw84T8/P7fz8/NmhR+/Xd0Lcjg4Q/DCK4G8NmMysNvtrgQ1bDQi45M54MiAecfUaDodtFnAg28c1+BNQjK/umJA+55588pR+fG5UUolneTgqIavqPwSYPLAmN7HCnPlk1dpRONU+ci2FSqA20XS1c48LiNZ83WdhFa90WBNdWoT0Ob1NVbR6FEs3hiNbCHz6vGsMvCI5cHjh22N2dsX1jx//txevHhhJycnNpvNbti2mro7ndVjB5bL5Up9sHuaRssvBRgZMGFesjHj5cn66i4JNirzWZFt8Po8KqN0rcRjRpsEKCVQnN2vwQ2Rj4vS1oJ0LauNTEu6XmPHa2ylVz4mw6IAyuNnm0GuhwO0zq+++sr+x//4H2mw5tl/TtMmgAN52187nbcT3L/4xS/s3/7bf2uLxcJOT09vBJSdTqeZ4MZxVViVhIeUupUWL8SbzWYN9kS9e3t7zUP2/f19Ozw8NLPVI7pU/7xALLPjJdtQ0+81sUFE6+hwLXnYyDsuDZRd98r0aF1btml729p/vufphI6DUt2sd9kRgyX+amxSxoeWt6t0dnZmV1dXdu/ePdvf3292lpRigIza6NYmMorK46NYdEcTcCFiofF4bN1ut5lY93CM6kXmL7y4r4Zn/mZM7tWfURs/GY25iCJsm5E3Ftg/RBjcu5Zhzxr77bU3k9O643gTG1qLxzRtJoNdIS+eVB3Qdnr3mNaNoZUX7M4bj8crc2/Mg1eGtsG735aviHBU8Xg8tl6v16zu9uamStib+fb0CLgPZ5NzbMgf4McPPvjAxuOx/fEf/7F9/vnn1T77x0K3ssI8Uqw2BilzQDWKjXQ1znGbpIYCA/Li4qLZFr+/v28PHjxYOU8pmsQE/zh/GiAHQY22hyc3eZUXl+UNsk6nE778gAebrm5mvqPz1XlyDAOU83tHPWid7HiRL9uFoPVoOn7iqHLQwAfXORAyW51cB0+cz3P83ip+rd/75j70ZKSywwoLBSMsb68cz6iWdi2wfHaRoAt8zr9ZbmNU7rqK3NshwnlZB0pjz8ufpcHERRYocn3Qd68eTadleGNHxxkTP5zAvel0as+ePbOXL1/a6elpKD9PBz0wjT5Ev2o7YPcQSGm7I/CV6W9Jt6OxCNq14Lo0Yb4tKtmFNoHcbVJNILZOmZu2h/XKCypqAbN3j/1JKSDJAlD1C57/5KOUNL/iNS03o6iNpcBG6/r666/tD/7gD3ZmfJqZ/dN/+k/t3/ybf2OXl5d2fn7eXAf263Q6KzvxYO8w8Q2ciNXqCHpwHxNOKBMrNvv9vh0dHdlwOLR+v98El2b5y5UjfB35FlDUV57N9PQ00911+nNTW+3h2iztOvdrrmeTFpqmDV8eNi3lKfGoRwWW6tV44G8pJyzW+vjjj5sdJBmGZarBptl9LTca76V61GYoLsekD75BmDBHzMjHHJR41ett/YyXluOBqJy2Ol1Tp5fOu15Tdwkv1fruyDZ5tgp91vYBWS1FeC3SS08fvXtZ2Xxfd3TzvW239TYp8tv625tTyGhdO8/84P0v4/G4+kgW7fM2fHg64cXb/BtzfZPJxJbL6xXmmG/y7EdUJ6fHPADn5TkeLDbDQkvcw4KLwWBgDx48sMViYb/61a/s22+//dsJ800pcyCRskVOtm0QWxp8mUFrE4Bm/ESH+y+XSxuPx/bNN9/YYrGwjz76yMxWJ1AjY43rPGDwFIqVWgcggih1TDpZ3CbQaRO0e4E4g5xakICBznxpUK5pzFb7wjMwXF80+a51ZO1FH/Dqf+TRiYLIUGsQoLLyxoVOeiAgxllYet4zl5MBE5A+CNC6kWcXnTqcAUAy9C8CkgzG+MPlIZ/qnXdPy9ExURt0Rn3F9XnlqP5xe7lt3pj0VtZrndo+nizHuxueP39uX331lZ2dna2kYR2P7EJks2H70DZeac67cGAD+a3y2gc1tr/GL7CcStsl1wV/26DIltwGaC2lz/x8m7Jry+D+92zZNgFgGyDetpxoTNZMWJR4iSYvonGZ1Vc6wzXDGJp2W6S2dFcDUs92ecegsP/Z29trJsTMrDmnHMev4GWhHBTpDizIglc27e/v31iRpbbfw2WgdWyr2lXVb/RhSec37duamIVtKk+We0fZtKmzDe9emyPswnl0LGRU6sc2/kHjpuwBA+NYxlHrHOOy7bG+i7YjolevXtlyubSjoyPr9/s3dghH+N6j2nZnPirTvZKfYIL+wN9gdw1j/8vLS5vNZnZwcNBMrHPZNX6u1u9lxAvZzPyXPZbGo8ojsneR3Dz7UEO1eE3L92x1TTleu2rOdN4Gvo5iLU9PMopiPSWOidrKZhcp0tHou01ZXj7VLfYZeN8LjrHj3XKRL8c9jmfbyNyLC7kuL0bkPDhlYTQaNS8AjR721eqkHsm8XC6betDWg4ODxpYCN2Jn0q9+9Sv77rvv7PPPP7fXr1/vvA5um7Y6Ye4pYOYEM+OrhjZLw+XVOrhSvZx3k/r5qeh8PreXL1/a8fFx1VNSnayCQQVQ5MGMNMwzp+WBou3SwZb1C09ysRwisMF1ZBMVSgyMufxsYlb7rgaI6bWozzOe+Z43ecrt8fjj9Bpw8scLHDX4x/lTvLo2Cig1byQf1SmvPbscNOiKZ6UaEMhjR/tIHZj2bTZ5mgWxJd4y0Bz1qTcmvDFpdj2RHclOz+TV1d5XV1d2fn5uJycn9vLly+b9DbBbTDq5kLVHx6iuMuI61P5EKyRR3jb0OLINbScUtk3eBEPbCY7b4H8bEx5tA402YL0t3VYftw2KaykKZqMydUx5PGlaPqYsGh9tKPLPnk2swQu7SIzd8Ns7Ug2rzDEJBBu4WCys2+02ZxbjGlaXm1kTiKk/B7E9Z75wL6MMH5T8U015tUFiya5H5bQdV+pfFLdpG9rqfib3TO9L+Nfjw5NJzThqKzPk9XY+ahrVxXXPPN8GlbDErtJoNDIzW3lglvW//jbbzL9lsVdUfuZX+H+n01mJeTQWQwzOesQ+ib9LlKUp2Ue2C1593jhuI7dS3Fvr90p6USKNYUptiOYOvDwaI2W8t/VdNZimdkzUzDVE6bm/FLPuMnbJYp4S9s78ZZRHycMseFiGI1myhTHeuFlH3pzHO1pY03jYGHwD33mxM6evaY/O5+jCOI6h8XARq9y/+uor++1vf2tPnz618XhcL4wfCd3qSz+zSRpQDdhF3syxIE0JTJbKyIxSxL/XBl2xbGY2m83s6dOndnh4aG/evLFer2f9ft89G9Js9UVMUF4Omq6urponTtGRC7ivK2e1HqTletEOTp85J+4rBiMKEDSvZ7z0qA+sGEAZfBwKAw8F1x6f3Jaap9WQA9JF5XqBZSQ7Dyx5edlZ4hra7jkWyIhfDmZ2rUN4uoo6PNlHwRL3p8pll0knGrxV5KDMVnBaBdsZ0Pb6XUnBkV73Vq3x+PX60htzyKNbszw7GH04UIUc9CiWyWRi5+fn9pvf/MZev35t4/HYOp1O824FXiHO+rxcvn3inQFibQ/yQO/Z7vH2XJzti/Kjo3ky8sZ+1J9eQP8ug+uzszP7i7/4C/vlL39pH3zwwVpl1AaUt0El0NomEIQe63Fhte3jdFkAlPHQlu8Ij3gB9jp8ZPxE/NbWxbYJfrfko2vrzexDxGMpzy4QjkjBpDa/gBOYiCeBFMcNBoMmH/wHbB/s43A4bLbjIu3l5aWNRqNm+/Lp6amNx+MmL3SstHgh08VonLUdw1FZNeW0meTQPF5wy77R28UW8VrLgzdeShi3Ld12Hi8W5LOoQTrZwLY5wkF3OYZHo5GNRiN7/vy5vXz5cuV9QbtMo9HIZrOZff/99zYej+0nP/lJE1dmsr0tqhmDkZ0ozSsgrl4sFjabzZoX1+FB4mAwWDneSjG4N34jnx/pXg12ZZyezTF4eD2LJUC1R+9o3lJ8WlNGFEvV5Iuwti42LI17nRco1Z3l52vIB1/YllTPQFpWFBvuKqn/wzX+LuVvi6k1Lke/zOdzWywWdnJyYpPJxCaTSetdpIgpo3xe3d63psV3NJYZZwHvQba6OCKyHV6d/Bt2Egsp8HJ43B8Oh3ZwcGDT6dROT0/t//v//j/7+uuvbTqdtpLhj4VudcJcqW0wp3nXKb9NfTpI1wVikYG7urqyyWTSnGeOgEUBofKgzpLTqfPgCTF88+oukBdweCvAvEmEzPl6+b10XG+pbxHsmZk7WaxlqfHw+lPBSsloaXu0ryKDxe1XJ+ul5UBT6+Xt7cqDlssBHF9HwB3JT8kDG++D02bSYDaSGdJmwCSzLyVAE+mmB6q9seoBkYwyvSzlK7UDfPKHj3qaTqd2cXFhr1+/trOzM1ssFs32Lky8aJv5wR6u1bZVtxZruTpmotVh29DtbCxtq451aD6f28nJyXu5MiAKWNYhzwbU1lcbUGpZkc9cFw9tm0oB4ybENtXDIuv4ldo8XrveF//lYQYOoIDxMCFuZjdsndn1A2NemMFn+fKWY6Q1MxuPxzaZTFa2MLfR3Zr7iqHuikpYB+SNceWZ/XNUdlZvRLX2xcvTRp61fjabONqUWIe5Lv5ozLPN+tvSYrGw6XTafN4XAv4/OztrXvKmR3RGepzFSNukNnobEeuK4j3YTSykiCazUE4bHOrJ0eOL69G4NLvXJjaJ+Gp7r5buwn7X2jaWX+18BKfxdF9xS5ZnG7GyhzV3BS9mVPKHbdpRI78oJl8ul81EMOy0rqau5cGLV/WbY008hPMexnk8e7wrD/pQlufC+BPxGNUL+8hHWgEXYsHG69ev7c2bN/bdd9/ZDz/8kInrR013OmGutI7j9RQqKycqUx1TZGC9slQBI5DtBTuLxcJOT0/tiy++sJ///Of28OHDRjl5hQXXidWT2JKBlZKs6KzkZjdf/olyvDqQn89E98Apt4XP1ARP3HaVXTRhr0FH1Jfz+fzGOdRtj9ngvmZ+mC9d2a73mV+Ux2fLaz3cLu0T5ovbpfxFKwQ83WZ91BfDXl5e2mQyscvLywYsM3lPUJknDmJ0lXHEz7um5fL6HNhSOrN8ooxl64FXL7DmvvTkFK3wZ92BrDWo1KfX7PQ8Hel0Os3T4+j8NLYp2m7vGlbt8Ficz+f2xRdf2OvXr+3p06fNCkjdrcI2BCvB9/b2bgADtacZwYbh5XdcLr/YTkECtzkKFJkf7zd4BEiKAtB3PU4iuwgq+cyasrfdxraBawSKtd/ZptUGYaVrJR63FfRkellDEe861jblV3WCJ3dL/CBfBvqzYDKzG7sefM5mM3vy5IkdHR2tLKrodru2v79vh4eH1ul0bDqdNjvKSued93q9Zottp/N2BdZkMmlegoWHmTxGeMdPmzFSM1a9XWsoR+1lCWdrW730rCsRvstiA62XfbM3bta1g+vYlSh/FLdo+lLctE68ViLIcDabrexgQH2sc9GCh3XqXCe/1//vI11dXdnXX39tL168sEePHtn9+/ftwYMHjW0xW8Uq3qQzt19lUZJLrfw3GQPe2AV+BkacTqd2cHBgh4eHjU30Fq+ZXfus6GHNOthO9UmxPfPPfJTGYWS3MvLSrjvetzEuvLo9PWP7oOPSi9e4/GgMe35OZYoyzfwYLqJsnGRxhbZll8nrK6Yam9u2jewrOp3ro+ewOw6T5Wb5sb5ZPM/xNuJJjqXZZqAuzDt49iNrZ4RdIh663W4T2yLm5Z2DmW4Bu4zH4yY2xkT5cDi0wWBg//E//kf7y7/8Szs9PXX5/ZtCtzZhnoEzj9oYdfyOgHJb2mbgFJXF/GJ7A4IUs+tB7PHPq7IURLJxwhEtmbHnOrKJkyhg8RwH56npI1DbiQUPqGn7vDrUWa4LdjVPFqTXllere+tOhvBEsYKJSDYlZ+L1y65PPoAyPrkdqrvrtK8EcNqCa+Unmpzw0iFt6bx1zq951Y54W8Km06mNx2M7OTmxk5OTlSOAvDaz7fImM9aZdNBgj8+15DZ429k8++KVH+nJLhPAEQJHLzAwaz/p5eVrQ7Uy3FbAxjqnfGT+u7buyE7W0PukT+uQjk0NNkr6WCq7re9qU/5d03K5tMlksnJsAHAgr47Uleb6ANDsWrdRFu5hohJblfWMdM/vMH8ZKYasxZ6lsmsxSwmXeP4mqk//sw0pTRBsQiV57zr2UgwU9ZM+pMe36tC2JuNKsWNJpnhA1XZ7/64QzsU9Pz+3g4OD5qVuIMV8PE54YYHipWxCkMve5lipnUhkfjudTnPEAV6EzC85jmLZTbFpiT8tt2Zs3xZmYNuidjxKn1GtnY18QaZbtXNMbeelSumiuYgMy2g7ast/H2OOjDz9aktefIqH/LPZrDmWlsd9Dc5n3rJjVryyPHzQdsKceeF24mGfTpwDS8OOoVzPpns7rsEb4kPgS+wwfPLkiX3//ffNEb9/U+lWJsy9SQh8ewDQU5pIET2KjJaW5xGfTZ0BMyhnRCUeeBCdn5/bV199ZcfHx/bJJ5/YcDi0Xq9ny+XbVeB6ZAGU+vLycsWps6LzqkyeyEJ+BEvMi/KoK6C9gIv7hSejGHAw6Uo+T264xyupPcMGg4FylScPYPM318dlet8sd9Vl/q18aL2R3kRBGP+OQIG3Op7Tc/+cn5+vtANgUINqbr9e07PoI9pVJ6767jmiSGc8vY1k7wWHrCMeefoW8c/8Mt+8MgsfnczG2OfV6MwrE2yLrghHG/EUmx02ePn+++/t9evX9sUXX9hoNFqZrObViqgD1+HsPVnq2CoFEwxW0NbFYtHYJ315ivoABjoR8NHgyQPBkT68K8Jb4nH+ar/fb/yOUo2+RlTbxtqApZS/5HtVdxgY8qoT9qfRET9MtYFP2373MNJtUIln/l0z7rx7HtYAlsHY93BDhBU8vrUfSrx5fmAXCeNV2wvb0u/3rdvtNpNdOItYj4hYLt+uLO92u80Oozdv3thsNrPJZHIDe3A+rnMd8uy2Wf1KydLYi/o7sr3apmysefqGa7yiXMttO2ZrxmEJd9WOZeVR9SqjiJdaO6x5GBPwsT86EaHveNoGraPPnOf8/NxevHjxXh3HorRYLOyLL76wDz74wO7fv9+sRjS7iTMZQyqpX+W4MBpTNZRh8Nr+83QR/GJCbTqd2t7eng0GAzs4OLCjoyM7ODhYeVmy7oRhrKC8etR2bGrbvaO2uIxajOLVm9mu6L+X37O5JfJsiva3t7OE8zOWr+Gfy/aOh4swS8R71J5NcHUUB3L6Xccvme8qjZfa8rnvO51O40tGo5Gdn5+vnKqgx9ABh4J0ARXS6a4T3fGtO3A2aV/kl0tjnnnGbpler2eHh4eNDHq9nu3v79tgMLjRVm7bYrGwXq9ne3t79qtf/cp++OEH+5M/+RP75ptv3pt3ddwW3eqRLCUQ7v03KxuDtk7JIwwyPU4Dvz0gvC3CFsSLiws7PT1d2Q7Gg5n5wbduK8Eg4RWaJaCR3de0/NubxNIVYiVn6cmUB61Xn+YFINMHAx7/UVtrdWUdoKYTJDXBSTZWWBbapoyWy2VzdvT9+/et3+/b4eGhjUajYr97fVQad++LA8/ulwLfde1Bm7HGebg+PbtW7ZQHqDygzfqjEwrKj6drXB4+CD7evHljr169sul0euPlnZEcvN01GYAuXc/GFtsOLz1+a4Ck445B9aYg6a7o6uqqWXExn89XAmSlKAgq0V21Xfss8zse5lCAy3k9/blt8N+GavskCpBxD3JrY7fbpK0J+rgv1vEfmX1i0r7ddV8F4iP3mDqd6xWSOFpAg0EmBIsI8maz2cokZU3Avk2KcFVtfFBDmS/3dN+75tn2LD7YptxKky/boFpc4o1bL63nN7LxyJMN2eKTu6A2NgHxW+mov12m5XJpFxcX1u127ezszAaDQfOiYO4DbzLSi9V4MQ6+a+Po7H4J+9XoSDT+2f/wSnMcWcm7ezxePFtRw38tv9rGks++a7udUVtsoXmzazX+KpJFpjsRjvRs3jrxYTT3UZPnfcEsZrerhxp/oj7s+uH3ruh8WXQCg06Oe+XrxDjvxouOQV2XauLmSB9xtB7eFwbfyotNo3kztBn28MmTJ/bXf/3XzXvI/qbTrU2YlyaelKLV2yVnmxmRzDDyW2b1aQuUH2dCamDt1aO8RIASwcx0OrUXL17YF198Yb1ezx48eLByFjA/ucKHz2LGWZTYOsHnVqLdkWEAb7ryG0BHZYL2cGCLAIzvmVlz3jo7dj6fW2WjfOqqTy8PygIPWDXFk1hefzA/uK9GLtInBvNcVmR0WMbcHuWB61Zdx29vpW8t/9Pp1AaDgf39v//3m6B6NpvZDz/8cENeWo5OHkaBkqbfReLxzTLzJkg9R6STFtnkmifDqNzM7vF5izrBu1wuV86bZeLV33yeNvPA45nL9NritUdBxZs3b+zNmzf2+eef26tXr268jVzbz2XxCtNoR0oEvjOAqwTbCZlGL2aJdoTAJ7DsvX71dr94PN81YcUqPr1er3UZJTvQtqx1KJuAqakTeo+VFxHQbYthMqqR2TbtZ21w5/GVybd2kqJNcKnH0nkTvhFfNf472xm46+TZF/QZJr3xUPyjjz5qMJnuEARexEt/sftHH1a21dMSFtI86gPwzb+98RiVzb7No0gvanSff3OQrD5xU/LqZH+4ie2pkWFN+aU4C2kU80Tlc0yAXbXsN/f29m7EXjV26i5ouVzaaDSyFy9e2Gw2eyc8bIOurq7s5OTE5vO5/fa3v7WHDx/a7/zO76R21mxVR4ExDw4OVnYewreiX3k1ZlRuWyqNefDq8c7XeCdip9OxyWTSLGLDB/ZT7ZTnq9Q2lPxWFkPiwzGYWT5f4pUV8ZGlre2bGuzdthxuu3fskWKzbOFciTaxK5kfKGGYGpua3X9XcUQtZbKJYqJSrATfoHjj8vLSRqORTadTOzs7u7HLBQ++MF82m82a8YSzvzE/wmVikRG+vZhvm36pZiyV7ArsLlabg1/YYiyUgj2DDGDL+/2+LRYLG4/H9id/8if2P//n/3yvHwxvk25lwlydQE2QFQHYEniudRCsGJgkiSaFkR4T2Jg4zxx0ycF4MphMJvb69Ws7Pz+3yWSyorRm/lZELsd7UsRP97m9TNkKdpTB8kB56uQ5uFVgH/VL1B7tq1I6bieMQ9SfNcF37aSWOnDPaGWyiHRXHQaPIe4Hr04FFCwDrIR59epVA7JOT09TfWawtq3JsXdJ0RjHf/728vJ3KV82gVDSaS6zZCsj3VY7F/HL+WvaxmXyN1Yrv3jxwl68eGGj0agBI17btG7m2ex6JaSn76yX2ZEynrw8XvghCNqj/ES2E7t6PDCPOrwHc7tA8/ncRqORHR0dFdN6fN9VW7Y9IcL2DH5DfV02rko2QutZh7/bohoMxnxkk2ulQG/TwFWPBPPKjmxUm+C9jUx2kcA/gpnpdLry8BEPBvk3n+mZlVvyP8pDdD+jmv6sKYvTlbCfZ9ezYF0/mX5tW49qJ7iyMdfG99SO3Qwbo87aujGxqjsdMsyucchdEnjFw6rI/79PNJ/P7dWrV9bpdOzx48fW6/WaleZmqw+ZzVbjQ2+xBrCRmblHIHC8eBu2V/WupCM6hjHZBhyL/5hUi3Y2Mz71aJO2qs5HPjJr2zr1bZNKWFLjTZblbfnoGj+3Ln7fdOL0fcUlXkzMVDvXoqT4DvoBTIOV5Tr/gpgStmi5XDYTycyPvr/FW0leo5Nt4gTvuqbROSEdJ1wG2wccT8Nl7e3t3VgpjnnE5fL6wcJXX31lX3zxhT19+vRvJ8uJbm3C3MyflMwGjzqbNkBP69AJWHxwjo+u2uWtFbiPJzEM6LJB4il+NkjOzs5sMpnYT3/6U/vwww/t3r17zaq/Tqez8hRMjQUma/ipPgY36sm2n3Q6naZNusrOCzbUSCAow7mZupqU5e71h0eRLvBkFu4xeMPEF29Lxj2k9YJprjMLtJBXjSYebHAZ/GRTAznVN5WXloXfumvA0wMQr9BfLpfNBCZ4WiwWNp1Om5c3aHCj3xwolrZm7qqDj2TPk2feJKnm4zylYJ/LYULeaCeFlxa/VQ+jtjI44HI8IOq1M7qv29o6nY6Nx2M7PT21L7/80p48eWJnZ2fN5IyWifbyiiNvfHD7uV6+jqf+pRVLXlu0jdw+78Ebf8PeaeDC6Vg32kwe3BVNJhN79eqVPXjwYG3wetu0SbBRCoLg+/hICm9rpfJS24eZz6/BN6W2lzBUVF4bmWZgPgsY1N/XyMuzcVo3+0LNq/hA89Re31WKcAtPjF9dXdloNLJut2uHh4fNiii2n8vl252Nk8nEzMyd9NE+aGMP1rEdpTxsr/U6f0flqm6ZrU7qef6By2C7gPvReGN/4I2RbCyVdHUTu1yj71lcgzLWicdK6fhoILPVledRvPUux+/l5aVNJhMbj8c2Ho9/FJMJ8/ncvv/+e1ssFvbTn/7Uut2uHR8fr9hc3pEF7MUxBXAhT04BL7EOIy8eVmcxNfJE1EYPan2kthfvecD7Ig4PD1feBRHZgyyOjmyuR5kd4fo9/Fwq00ub2aPM7mW0jg9pa+8UN2R65eEK1Onl8XxPrd3mtJ4eeLy+b/jEoza4L0uvfcWYBfbo/Py8Obfciyl5BTnu6ekIsEeeXSr5xojajL+MormGaIwyBuFdhHjYh6NaIA8stMA5571ez/78z//c/v2///et+PybQLd6hrlSLXiM0tSAyqjcaJJcA2az6ycu/DT54OAgfUNsycF413BO0MuXL+3w8NB++ctfNi8a4e0U0bEkZnZjdTVWZzLA18BIwa83GCNjwRNFvFKdga4GM96RHl5bvEks/c35dCsdPwjg9N7K0ZKuZXx66fm+B17QtqhNHj9eUKjG05ssUDleXV3ZxcVFc4+fMHqgLpJRaWvcLhLLUSc3WT89UjnqNbYXDIC0PpVtZBdUP6DXUX3RzgLkLemuOl8NVHlSn8EHVpZPp1P74Ycf7OnTp/b69evmBXLaRs4b2Zrlctm8aERtCdsZbrd3XJaOD7XtGSDmh2/Mrzdm+aFBtNJc7d+m2+u3RbPZzE5PT206nW6Fn3UmdSJ7WwKZNbgh44/1XHeORYGWjsuaOiMeNNgqtXubtE5f1+aJ+nOT+jSozMqNJg1KdbyPFOko8CkWeHCwhGMveCWv6mFNH0YYKMMoHqmNzvotw1IebuJ7XhrmEXjRk6kXODOW1G/cj+rz2pnZOw9r3IWdqKFSn2XEfT+fz8OzUXdxnGLBCT4/hhXmoOl0as+fP7fBYGBHR0eN/PUFt3jAAf+pRwMul9cvdcZkOmMpxOLATbySU3XesyM1etcWJ0T2D3zh6KvLy8vmhaD7+/sNZtUXokbxdmQX1/GzbFM8e1RLtWkjHku8t7UVXnklO672u9TXWjb/rsF4tThQ9Tbq9ygmRJpdsfu3RZ7eatyFPsak9mQyaY4O4RdGm60e74eP2WrszDZNbZGHByKea6nt+IkwVakOtTeYS8R8JtJhQe7l5WVjy16+fGmff/65ff31163a9jeF7uQM82gQcLpSIFRDkVHFPZ6wweDgbVcg3XIFJQMwqOFPr6F8npwDDy9fvrROp2Offvqp3b9/v0nT7XabwJ7l5IF4nmjnp/8wJNFqc/CkRgTk9aMaGoAgbwKPf3sAKGoXy9YLmvnDE1esX1Fwo4DMAyHcP9rnJXCEhxbaXvSVAkiecMv0K1q9xO30VtVj9ZnKhPuQ263nXisfWZC3yxQBMciIr0WBEMuD9USdtdn1VnkPkEW88Pfe3t7KizpQv+oBjxHolU7iqi3z2qVjUMcfHxk1mUzs/Pzcnj59al9++WUzAcvptW3I7wVGy+WyWQWAXTa6U4ODKt0lkLWJ+0jvR2PLO36Gxw+DMD6rU4GNp1/vmqbTqZ2cnNh0Og3TZAFn5o/Zzit4y/LW2pRNQCzf8ybMM6ppe6leT1dr5FEC2hH+UF0stUGvt7Xn2Vj0KGtXjT6wzW2DE3fdT5WIbRoTv1+B7T9sLq+gih5eZkF9xAeohIOzyYNSQOhNUGQxhldXhvtwXbGtkrcghH06+6VsgUFJV6N21gbOmf2uTZ9dr+GlFI8tl/mE+S4SVphjwvzHRLPZzJ4/f24ff/yxHR4eNvqs+BZ9Nh6PbbFY2GQyaTCQrriHfmCyhuNUs+vJdUywe9iQy1mXSnqoaRQX8rFXe3t7NhgM7ODgwI6Pj1cWTzC+Zruj8YJnzzLKfLOOQz42sBYP1eC9LGYptaPWbnF6z7949XhzB+uQF7NE9ZXsZaa3bXV7U91/11SjRyAvduIYCj5jPp/b+fn5yhFzSIcdLnwcFOrl3SPe/I7GpB5vm+LkWmo7ZiLCe/5wAgPkgLnP5fLtYrV+v2/ffPON/ff//t/t6dOnW2jBj4/uZIV5BP6YSsDMS1sTPPMKcX7KhEHGR5iAeNIRE0R7e3s3XvBSw3NkcLmM09NTWywW9vTpU+t0Ovbw4cOVbW3ghcGITpCxUeIn3t4kGE+mek49CqTMVo/80KDDOzqB5RTxoWn0OwNQLAP0m77VXNvKfKNs1gPI2ls5ymWwDPR/RJlj1+vRAwhPRkoM+NCmCADo0R3a15yHVwDr9UePHtm//Jf/8sYklOpEDd96PwJ3URCM6wcHB80WdW2POiRvDHD7lF+WF/c/A9Ysj/KCtrFORquSVfbcdl0lHoE27QteYQ1e+Ak9tm29efPGnj9/bl999ZU9ffrUPYZFZeqRBiXT6dSdJGdgo6vrOY2Wy31i5r8YOSIdL7ytzbN7BwcHN2yG7nzZFUKwO5lMbDKZWLfbdR+oRhTJTm25F4BoOXr/NsCnxy8AI4J/3oGW8RC1vSb40TFe4rmGMl6ystfJF9V9W32m9Xi2usbf1ga37wtF44ptIWMUTJjXPhwq1RdRDR7XtFnZHm7U61HdWZ+rv1C5qW+M+FEfgDSogxdOZLxmtK5uRtjJu7auTiiez3jgfMDqmHzmoyc5TYaV3xXhvVM41ujHRLPZzF69emWff/65LZdL+8UvfmE//elPmwfLWE3NR1/iOs4Q5hXnZtf2l7GsYmXgKn13F8opHYe6CZViMQ+zXF5eNsdaYhdPv99vXpjHLxf0yvDikFo+azAVcCc/vIt8aA2V8FDES8Z3Vo4Xm0RU8h+l+mvbVlOHl0f9xC7FAbdFtb5YKYofgF2m02lzTBLsjJk1xyNxHIxxgDTRyvJIx+66n9rWF8kKeA8vKeYjm3lei+dH7t+/39j2i4sL+/bbb208Hm+xdT8eutUJ8yggqTWiEXkGKgPI/KSJt39FW+lRLj78EjqeUMsmh7yJsChgGI/HNpvN7M2bNzYcDu3+/fsrkxhIy4rOwSLXyQOH28CrirwyFPyy4+W0nhNm+XsOhB9UaN9o32lbM6epK3o5kEFf64pa7j+tD/9hWFQG2m/edzZBmX17ulQCc55clFf9aJ9F/RjxpGMAtLe3Z0dHR/aP//E/vtEuDTSjgJTTR0FypN/QM28ySrdrMX+eLnhjOwKaXG70wMTTYc9OcLv1QYemZV65fpVtaUKJeVT+8OFJ89lsZufn5/by5Uv77rvv7Pz8fGVleVR2SZ78EJMnb2Gj1dFnkxtqn3lHiGfzIxujY591i9sEH6P2iifMNf+7JEwW48PnjN4G1Za9DdlkNpP5AJiGXulD1jaBlKd7Wd0ZRZgpS7tN8mxUDR+RzVO77bWrhOF0rJX6piT/H3PQ6tn+CH9tSiVd9fqKfVyEk0r9w/gj04WsHG/CnH0v3+OyPOwFXOzZer4X4Tb1V0qZTDJbxHxHbdA03v0aqrVxzAN8Pq8w3/WxOZvN7OzsLD2e830lnAf89OlTWywWdu/ePfvpT3+6Eg+ZWTMZjAUUWNy1XC6bY2q8lZuMiYCZePJdcazZTbxW8rXbJi8+MLNGZ3Ek6mKxaFbP8yRVNK7Zdmg7arEHx0p6L4qtSnWVeG1LbfJofNPWDilO2ITa1F2D6zlNG4yn6dSe84OmXSDF0WbtHnjoeFkul83xT3i4yicuQAawJyA+lq524ZnH2yYxSdb+SD/XkRlfxwNNTJj3+/2Vlfm8cAJ26vj4uJkvG4/H9vr167ZN/RtDtzZh3ul0bDAYuJM9PBkUKTLnq3Emeh0OC04ZZUBpalcZ6lNxXI/q9hyQThpy+3BtsVjYN998Y2dnZ/bw4cOGd6zsRBl4ssblqiOEEfEmkhj4cLm4z3mylZEamPF15oPLB9DSerz/Sp4h5T6J+NO+4gcnWhcHcrxCwOMFZel1yFjlwjyzIeYHEF4e5jHSLa9clamnfyW95HKUF+8e2qP9UuJJSVcLezrqbf2MePv/2XuTH8mOJD3cIjJj33KpnWyym9PT6JY0wowkQJc56KKDdNXfKUjX+WEASRAktDRq9DLTbDbJKpK15R77HpH5fofC5/WFpbk/f5GRVVnFMCAQEW/x3W353Nxcz1t9He9D6felqcsEsjy8OR8L7NG8R7cXGwq6DKwYsKJgjQNdDhgjuqwoQ5IkKx7leAee5e12W/785z9Lr9eTTqdjHvBplVnze+4flAHKEA6rC82FNCUIRh7Kz/IAeYe2glv8RuTtAVeQKWzcsdGn6xmSde+aIAPH47GMx2N3oFXavFwH0MH9m5JPB1jX+ABgjkMQebzrMZxmfMUYZ7qNfLxFy4MsZJXXytPi8dbz6+S9TjqxBhaXP6Qr+NJf9/77Jp8MsvqNdT8RcV5GfMh3GpiTpVyh9g+NtRgek8VoDI0Zq1yWrsD6n0W+ecLv+UK26DJZ+YVsh1j+FpKZ+lqoDyw9Ja0caXIAaeRyORfWBLGhcQ+6+TqyMib/m9JkMpHz8/OP2gNvPB67Hc8PHjxY2Z0NQEbkTXuDv5RKJalUKm7X2nQ6dQd8an0PBCAMY4IdM9gGg24CnU/HVAdlHef6Pd88DI1DdrzDAaGIF8yglT5DjfNiHTJL3ln4laV/xPCVtDRi3ou5x32Z1hYWDsA6uCXbspTHsqWtfH1pWc/dRAf29dPBwYH8p//0n5ydY80Fq119uoOuh1XuNLm7s7MjzWbTvGfVi/uJ58RyuXQgOc5fAWFhStuCANJhb2kekXVMpj3rk+9WPdPI0hFC7+MaxjscbHG2Ah/oifZDW4Bn7+3tuedfvXolf/d3fyftdju1rD9mulUPcxZ+PGg5vMgmGIomHkw6VmOaMqbLqhmLBQ7FlCUEvsFIHgwGkiSJTCYTKZfLUqlUXD1AYMghJqcVbR/jCAkkn2HDaernQgIGChHu+0KEhPpFl0X3rc/w1sq/T7BY+Vl9HbrnazefkhC6bxllVtpcJksxxX1fHXye/z6y+ozB3ZACF6pnqA98fRpTXl1uq4xpSoSv3JZXeWgM8zNWOSyBHxKmeg7w/bRyWGOKDRceU8vlUgaDgXS7XTk/P5fxeCzz+fzaHA8pkmnEh/UiPf3h9tFgP+dleVNiYYEXzLhsMeMeu1ascah3vNymjLsJJclbrw1sb9T3swIP67wj4lfWs6aVNv8svg89BIa99axPfof4hcUf12mbEHGaabIj7XqM4XyT529KWdovxCs/dIrhU1pecixP6/5N8g/JU37nffYBxmoIxAjxZ99YD8lanV9ozmm9+SZtlaazWO0Q4hO+ct1k/iMdPveDvY5xP+tuiHfBj5LkjZceYnd/rHR5eSmTyUT6/b50Oh1pNBpSLpdF5LodBn1RhyFB/+nzFCw7FIQFa3jNar2fbRVrh+FN5VLMuz5egDGMcb27uytXV1fOi1NErtWFdVq+zunG1Omm961nLH0plseH8vP1PfdjlrL67Pks+to6ZMnitH7cBHFapVJJfvrTnwbxjtB8A+lxKbL53Wi+PC3bGc4sbJ8gbGIul7t2xhq/o3lCDL0vuyxmTHA7Wddhq4Nngt9g1wt/0NZ4rlarye7uriwWC+l2u/LnP//5mi24pVW6VcAcgxwr1FoAQpBisOswHBb5DGy+z9sSkCc8GTCpfAOR09Te3XzPArN0OZhJWx6xPOhF3gDm0+lUvv76azk8PJRf/epXUiwWV8Kp4F292o7rens9MxarbFwH9lz1gU6+trC2uKJe8OrUbYBDTXV4HLyrV4vRt1yWEPmUAB9TCBmSlmDGfwBo7B2o87Y8rtPqwP1q9aOvbKE66F0DacLCEmaWB7guiy+UjU7bZ0ziHS3staIZowRY48B33+dlqtPAnOQwKFbesaSFPygURkbzBB16xFJKWakA32XPHvBOjnt2fn4uvV5P/vSnP8loNHILe/D8sRQzrYSFxh33pzXXUQ4rjBbzO06f+SJvzdMGmcUPfGOV23axWDj5wJ7lKJPIG4/5GJn2vmgwGMjZ2Zk0Gg2p1WorfcAUMg6s53wUmhcxMtkia97F8sMkeQOAjMdjqVQqa5dBlyP0TAy/Z4oxmK12RV6672LHYSz44BsrFvnuxVyP2YkVS+vw57tAobrz2NJemoVCQabT6Qpvtd7XeVhyM/Q/VOZQedPKot9J48+heyyPfLGRY8YwAwu+8ZSm82QJlRMzZn1tqvkCpxnik3zfCk+m0/T1G19DmpPJRCaTias7ZCbvHMsyP7OOpayEwy2xK+tjBsxBX3/9tTx//lz+5m/+Rj799FNpNBqys7Pj+ge6I/RF6EKlUkmq1apbjEas+svLy2vxh9nm0wfc865A5AN+hvHBuh3rziEeEiJrXIfmibYV+HBlOJQMh0PZ2dlxB4WWy2XnDYo0LJsDv/VcWEfG6nu+OapljNblbyIzocdzWWJ4k1UmfsfqM16E4zQ1pemivvd89UuTmb48QuUKjeHQ+ODraXn57NxNkm5T7h/MYcgEPsgTc553crDjqyUv1pUdWfTjmPvrtqdv/DFPZI9yxHHnxQbYzPl8XgqFgpTLZSkWi9JoNKRSqcjnn38ug8FA/ut//a/y8uXLW18k+Rjo1gBzFl4aUNAKIxgNK7GhsCehAc6Dibffa6BFp2ORj8GGGLbv3RjGBYWh1+vJzs6Oiw2sDxCBhyQmCBsSPgXXKpel4PuUAX0tZFAzE/c9HxICGjTT/636xAI4vjKHDEWrvD5KM2ZvSmnt7isPyrBOOWLBE6s8PC61YhibX0hZ1ffXoXWV6zRap93SFGTwSZ2PlZ9VH/3hZ/UiFQyefr8vvV5P+v2+TKfTFb5u8WmfYuRTArj8es7rcvNCgJWur01F3i5ycH19RlZav4XakXme5st3iQAW6wWwEG1aAbSuxcr6mxIMXMQyD8noTfCYdXhvmrwKPXcbYy5GZ7qtsW71z7oy7WMgn37GvNza5RmiLOM0pCttYgxsUm+KyYu/s74bMx9ZLljXY9Jdpyyb6nutz+v0Y3lDkiQr2+y1nLyL8pKBCL0j6WMlLGq0222p1Wry5MkT57nITgPQSeGwAWeEq6srB7BDn4SNzzvbdH9bu1WRh7YHLVvc0ulAoblgzRvfvRDpMQw9A3XnNtHYiK8cWu/lvPRv/Vzae2l21Cbnoi5jKG22C3xpxepqm+CjOr33xaNCfZ52LS292yCrH7VtBx0cvIXD2vKc1o5T70NW3FQniZGT+rfW6+D0hQ+eYydk8EwsOJTLZSmVSlKv16VUKsl0OpV+vy/Hx8fbUCyRdOse5hCUGgDBajFWj7FqDEGKk9MtxcRnJMCbvVQqucGFg80wyRgoEfF7d4QmYkgg+YSuFopW+hCsz58/l06nIwcHB7K/vy+ffvrpSjtiEvAKG/LWygbaRcdnZqFulZnLzelynSxAixkbg3v8LPeDDpGjATbkrxdXtDLFeej6W3XWHq+6T/C+jhctsuoBofO38kwTrpbyx+n6FACr/j6wyUrTNzb1s9wXPqVM1xfE3rs8lnRfWPOB00GbIz2O283fTHiHBQrmGPcLj1MGzrhtuF7awEtrN4v0vOC5rH/r9tBzQtcX+TOgbSkXllc5e823223p9/vypz/9SYbDoQwGg2sLcfrAGb3gyfwKZWN+r+uDOYc04Kmj2xXf6FvuN2secxvBM4rLwLt1rP63CG3KXuZou1wu53g0PCLuGo1GIzk/P5f5fL4yBy1e9K6AK00x/NN6J/SfabFYyGg0cl4XzCuy5MHE5V1XmffxV9+zac/7ypFmLKelY+UbkmWhMmhieWOloXWFWHpfhu5NyaqjdQ3gFbyOmNLqfpN5llautPs+nmPpcpsoIz+j51BINw79jylLaC6G5k1sXj59MXQ/K2WVD+g/gCKj0Uhms9k1p6ZNe27fRG5x/19eXspoNHKfD5WHrEN//OMf5dmzZ/LZZ5/JwcGBWzjodDpO/ykUClIsFqVYLEqhUHAxdS3dez6fS7/fl8lkIqPRaOXwbW3X8bwEngD+hk+hUFhJH2C+LxRMjJ0US745zXnoHY7j8Vh2dnbc2THwPGcdXKdvyWndPj5ah0dZHtr6GZ22r32t90Jl1PlaGIJVd75m2WoatwhRzPiIve7TkWKJyxLy0F8nvbTyhMZ1DGkdTeNAiLGt8T7gBAyg+wDym/Li2+Dl66TpmwPM83AuAnZWo824/WAXF4tFd7YEQjyXSiXZ39+XxWIh/+W//Bd5+fKl/PGPf5TZbPajkmnr0q0C5iGmycoRA1YMsKDzfUJBA0i81V7kraDS4QlimY0FSoaejSGeBLpeuIY4eRcXFyIicu/evRXlgxmwBcTr8moAyUchJVgLnZDQ5HZjr04t5EL10ELTB5zEGIAWI4pV8H11Dr3jG7M+UCO2T3Q5tGFnPetTePT9kCDU6ccoPrrtQu/FgjBWWXAtNHZ992KMdl85Nk1sNPoUQs4/CzCm07OEMV/DgU0AzAeDwUrcTq2MMmmQC+nrxSU9NjhdXjCw6qrrYNVRp6nfZ2MqlidYhPysg3dYpmVVNN8FQVG1FpOhsGYhn/EUQ1nkkpXfugRlHCAAe7GlleumZQrpNmnp39SQ4bSs/zcdq2nlieHPvnQs3qHfy0q3xdffB6G9eAeNtcOSaVP8adPtaMmLkB74IfRj2ryI1ZPWJUuPjH3nJnlqEITBH+04cxeI64ywIggV8GMiHBh8enoq5XJZarWaiLz1ZmSPT/4Pz0btUCAiUqlUVuzdxWJxbVyIvNWv0mSlBS7BYcTSqzcp62JsULQXX2Mdix0I+YBQ7Sim7SB9L4S5WBSyRdN0Mp1vVtvcsqssnSSUrsZDQs+GbA7Lzo8ZJ5Y+lmZH+56z8vel43tmk3ZG1rHEZeDfbFvhfQ4pbHmMa15iOTNtStaHdGqmTejEMc/gOcx98E0OD808hccVYphj4RJe5fifz+el3+/LaDSSo6MjOT09ldlsto1dHknvBDDXgEwul5PFYiGz2cwNBnQmx+Zh5Up7HvBExGoLrzQvl0s3ENgrMgYE4LR5Mq1rdLBgYQBJr5ohr8vLSxmPx/Lll1/K/fv3pdlsSqPRkIODA1cWGEPwktTKhhZmaR7i+hv9EEtICx4jOzs7bpXfAiBQJvY+zeVyK96/WhBbYFSIrL5A24eUcwaOrPxDQAOe030aEqi+dDkNS9Ba2w55jOG/zo+3aOu2tuqlxw/nqT31LY9sfofnIo93vOtTcNiT2Goj7fnM/abv+cYjzxeLZ1lpa4oFDXU9eSWdxw+3u56PMYq6b+sae3PzeEmSRI6Pj6XT6cizZ89kOBxKv993XkCYr9wuluLL/5EPygBwWQPWuA8DDdchC5i/6T5EbHYeHz4FhfPh+oAv+LYK++rJ5eKFTd22d83LHCFZZrOZLBYLKZfLK2HRmLIqi+8LuEpTqHU9UNfpdOo85CwFf538fQZHTPppMibEr7URGVPWm5KVX6iMMaRBAisfzX+scoXa+32N03Uotk9xdlA+n3cHZyGWcJrukdYeaQBCFrL0llg9yVeOmDYKlSEk20MUahddJp8+qQ1lS4+8bUrLa11ABn02nU6dVyHLdMjvu0qz2UzOzs5kNBq976K8F1oul/LrX/9avvnmG/n3//7fr+gKs9lMRMTpPPl8XsrlshQKBalUKm7XN+J4l0olKZVKbsEeoV9wkDwW8VmXs/T5xWKxggEwjlCpVNx7HHaNz/DBfe3MwXmiXrFjM2aeom6s50JvhNd5qVRy57BZu6Et+WfZyfq3rx5Zr/vy09d99oHvW6cDG0bzfrbR02xszdOsvLmPrXc1f+c8Q7w/bexYbafL4dMjfe+vIyus9Kw2s8qS1qcaR+CzDbQHOcfeZvkXKrNV3tg2D9muvnr6no3hERYmosch248MlLMdyfISNvLu7q5Uq9WVXSvYZcg2+B/+8Ac5OjqSL7/8Uvr9/p2Wu3eNbhUwF3krDETeCjoIKQ6roGOI8uqKpUwz48SHwwFgAlrlSTOq+bovzyxp6Gs8KfQKPShJ3oSnGQwG8urVKzk8PFzZuqVXzLX3OaeDNgGxAPYZo3iHgWmfQe5jaqF4c7qM2jgOMV0fI08DK3SfhgzxNMM6jWFaSoMl3K17Oh/d7nqLWqgvQ2T1m1WOUDvp99IMXuv9mPkTUoZ8aYTGkC6Xfi6kIISMWKsdrDLrcWt5lusxokF8kF4k8+VrpcXGAg60Ojk5kXa77bZNi6zO5dCWUV02K2yMrqNenLKU/JDixHX3jV2r/dHuGrjXCzcxhLS4bblcdw0sF3nrYQ5ArVKpmOB+SHH3UZrifhMlbR2DIJRnkiRuAf/y8vLagtBNFcoQn9D30/hKDPnGui5TGr/eBK3bfuu0f5oM9/HydcfTuyKtbzFpWYLtubncGwcSjGsYpmnyMq2tNzleLJ6dtQxZ3sO7PjlrpRlLabIpNg3fXA2lqW2RLP2SpsdmuZeWfpIkDizRes9dJw4j82OlwWAguVxOvvvuO2k0GlKtVkVEHHjDzhm8cw3OUzs7OytOFxjvcHTL5d4AP/Dk14f7gSy+bjlaidiOIYwTpOk2MXN3HbnM77J+iDoj1jnveuPdb5ZDT4ydloVPxjxvyVrNz322nsWDmS+gf9iBhevuAxS53JxuyKaz6h66n5Ye8/KQ3snfOr0Y/cWXbkhnCFEIi9DP6d+WbYryoB95NyfOsfB5kt9luRCyNXFfX9PP4h7Pax7H1pzGfWCnWCjE4Z+lUmnFhoMumMvlHE9+8eKFvHz5chuGZQ16J4B5qVRyW9q4w3d3d695kOsTt/U2BIsx4zqvWunn+Nk0BVT/Z+HrKwM/Z6XHE0LHXYOHny7fbDaTdrstf/jDH+TTTz+VWq0mrVZLyuXyChNKkregEwtgFj5W3XxeyPjPnkoapPWBSnwt5KHOfQolygIQQgCcZfRzGSzBjfbweajjHe0J7RMG2li1ys2KnB6H7HnrA058BqVON5e7fgq5j1gpsWLEWUIwLW1fPSwFgJ/lmNW6vng2ZsuQVjis/uO0OB/Li8MS2j5jNk2h9ylZ2nBEG+gFLp6Hun11u+m0rTKzkom8z8/P5ejoSJ4+fSrtdnuFZ4Evg/QCnzW++TqXlRWkJHm72MeGV1ZCXXz9w2XitkG+MOLQznrBNUZ5xTts1GC83UXAHErreDyWyWQirVbLnUYP/s8e9xb5FGT+XodC6WZ5N9b4mU6nIiLSbDZXvDJ4kT+WQnqAfi7E89c1mELl0ZS1brF58bzXeYTmqPV/3TJkef6uGg6WDqCJ9b7lcrkSPgvAE5+jENu+PkM+7Z2sBnrMNc7fZ4yGeAbbD1aYBiuNLABFWtktsvJinY7Lbb2XhXf48tfl9dkKNyEuz2w2k9lstgKG3dW5xzSfz+Xi4kLG4/H7Lsp7oSRJpNvtymAwkF//+tdy//59+Xf/7t9JLpdb8ZhGv8KehS4EQAce5/jmOLvValUuLy9lMBjIfD6X4XDowDWfXoixw2WAfoud6vjG8/A2Z5BOpyeymbFvlZXTx7zlnRactwbE8M0x4i0HKotnp/E2zYN8fFbXgetilcOyX3n+c2gO/uhdtyDYQwgzgbFkORRpBx1dX+4DH/nup+kxPj3YZw+HKE32WbpklrR9WIpOQ/elyPUIEvwO+hpzE5/5fL4CmK8TucFXj6zvWPlZv/U71tyK0WdgG+KDOa37wAojhfmOHShwouWdKOAjaGPkid08v/vd7+T58+epbbOl6/ROAHNsyWo0GjKbzWQ6nbpJxINAZDVchI6tysSDlUEYrSDr37HEEx1p+JiCJSy0ENPgMeoFZaJQKLjy620p0+lU2u22PH36VB49eiQi4ra8sWDUoBErpFoR57Lht2ZaHAOT2zGNoSBvfibEmJAHyp8mvHSaPoPXKmcsM/QZib5xlSSrW/vSGCd+h8Kq6LzTjJkYwc7jgBl3qD1DbetTEnwKl6U8pOUXY4SneQX7FMeY8csUmj9pPEbPVZG3IKsvlBLPCT0mLTDAJ8yZL0HhBK8ZDAbSbrfl9evXcnp6KuPx2I1nfhdlBE9kHsa/rTbVh4Eyzwef8sWpS1NaIEO4XUMGgfUbZeBxvbOzYy5g+NLnuiTJ23BZdxkQSJI3CyW7u7uyt7fnQpKIvA2D9D7qYM352Lmapjhb6UDBnM1mKweHW/VP40XrUMiouo38fPluOu11yu4zCq1n0uS+fv5Do5hy6/qCj02n05Xtz1nyiW1X/extjlUr35D+kfYuU0hH0bSOPZFGOs0YfVbPgbs4xqG/AKTkeNX6oG48r/swBEbwu7fRDgiP2e/3pd/v/6g9zEXe6EH9ft95gpdKJanX67JYLGQ6nToQDIS+ADAm8kavgDOWPsQul8s5MIhDvsBb0vJCtfqbPbbZI5P1aj44lPW2tIU0TbHjzWcThdLUh6HC45wdCnWMeMsL3Wf7W/qyZedbunWMfqbbUy9Wcpvzh+1Un+MdjwMdA54BSAvbuA1ekWZ/6Os+matlgc8G2hSFyqzHjA9H0WMFoC3mLQ775fBI3Ncx9nYMbaI/Y8Z6zLv8rfEW/mD+8jzAe3wfIVZ4rMOG5kM/eeGNeeQ333wjx8fH0uv1btxGP1a6dcAcKyjlclmazaaLh4vJwyuDIqurUvgPL0hrYiZJcs0z0WL4eJ7JEgjMrCwQyFKWrXS1sNJxCbHlCqtFPGFwcjgG/2w2k4uLC+eJXqlU5ODgwHmpc7kg/FF+XT9dd77GHvTcH9ozyQLxrPawFHwNrrHgYu9MX5r6mqU08eKL9Y6VfhrQZikQOk3dx7oNrPR9K6u6ffjZGAFq1Yc9yrmN8LEMGK6HFgCafEpImqFjKTN4x+e1r9OPBUqttHiehoS3ft5XT4s/aMVNK8S6b/kdnm941xqTOm1Ow9rGCO8dLMYhFAvKgXHB+UEYW8aExfdQLj4sS/N8VqCY34i89SZB+la9Rd4uSFryQ7cb9wt/sNPFF0oqbWxwn2pefJfp5OREZrOZ/OVf/qU0Go0VQwVjFu0TQ2k8Tz/jMzRi+EjIMLFkto/3Y0zPZjMpFAorHhtZ+zCNN4fK4jOaQvmsW760ftFliqGYZ9PkQegZ/azF6z42CrWpNdd0fGgNumShkK6E/N5Vm1v6l493WO/wuz4ZGpN3iLKMYV8esfoTno3VNXV6Mc+HeFWItE4AwASAuY5RHSqf3qJuyWQ9HjYld5fLpfR6Pff5sVOSJNLv96VQKMhkMpFCoSB7e3sr2/sZCMM7vOMFugUAIJwdwvG7c7mclMtlubq6kslkIovFwu2c4VAtlsMR64BYPGR9lgEonnNwVGM8IW0+x+gfTPpamgzHHLHOcOOd+vl83nmdI4476sdn9OBdHw+wyuvDDvRvXx+wDELbciz5kH6tHQ/5OYCv8/ncAYjlctnpbjG7hmNkhpYTlj7ps31jKWRbZJWxWcoUO0a17c956OfR5/BwHo/HKztQdIgdn9zR99bVd9Pqp/PVeeg5EKO36/aCLcURNHhRR0RWdlSIrO4uQVzyQqHg5rfI2501aGteVAQPgH39xz/+Ub766qsbtd2PnW4dMF8ul9LpdKRer7ttV9VqVYbDoYuZq08e14MNZG2vsRRnUIgR+wQXgzXaGxKTQQtrToOf5by1YIeRboVbwAQpFosrysZ4PJZXr17JZDKRzz77TO7fvy8HBwdSKpUcCI18ECMOyiorDqwMWEam5a1rCRpL8Or0fCAVymv1RUiI6e9Q34YMAF/6XAc9Jn2KAv5bY9J61kcsJHxtkKbspAlHa6cD3uM4gL7y4dsCePkZS7nIYgiK2IdzxlDauOIyWuOf+yBkjMYax5q3YJ7yKrwWstpDQpfNqpPVzlacv6urKxkMBtLv9+Xly5dyfn4ur1+/lvl8fk2Ic1raA1wrNdxWOMjX8iKAAEce7GWSy+Wc4VSr1ZxRhffxLhtNVn/w4pXuh5Ai6VMWNd+0SM8PrPp/CAQlC55fXG+cmYFx6xtrItmBFbyj5cltKcVWeZmfYXdFuVxeaQOfYn8TSuMfaXnexbGVtf9j5A3/9ukW+G0Z2DFluMvkk6Gh8WF5Yd50rq7TTrrf0sZ8rEzV74TmqObLvvbgfC3910dZ9bA0smQ8X7N00xhZpuea/h+qR2ie+oi3iE+nU5lMJs7ph+Wo5rMhz1irbPjNtkVIRmWldWTax07D4VD+9//+3/L48WP5V//qXzngfDKZrBzsau0a5H4CyMNhRgB4Ygc1vCoR2pVDr/LiC3ufa2cxEVl5hscZywwAWXhPe0Rb+p9Pduv8LYodm5buyrsfc7ncymIEf1vOe/q371vrvda8suSwrqP2IEc/WTGrQ3xZ/+f+S5JkBTjEGNL2D5fTyjNNv7euheRcWj1819Ly9r1vyQ6rjFZ76v/6WZ0P96m2zfTBnj7byZJfm5apsRTqB0sH5ff4kzYHRd4uhuEeL3DxAhgveEGW6kNSOWwVnkVUjz/84Q/yxz/+UY6Pj2+hxX5cdOuA+dXVlYzHY+fRWKvVpNFoOCCH4yuy4qsNHy20tBciPwslDe+lEeehmY3eHsFGmfZ+1dsrOE1LSUddMcg1c0c8WZE3IBM8zbHCn8/npV6vuxV5ntAoA9eNJzoD1pYHB7cd0uay6/e1Ymsp/VYasR7lPgWay6aZemgbFt7zCQ32+PcJmDQjnq+FDBV9LaQwWPW3yuR7n3/zfMrlctcYuFU+VnbxrK57rLCz6os0tMKmn/MZibqeOh8uozXeYxQenzHL48QaA1ZZOOwU39ceElbZ0pQ95kkMgmKbcafTkefPn0uv15NOp7OypVHnaxmiVv10/uzdyPXW73CfYEfS3t6eWzhkr4XFYiHj8dgZTL7FS19f+BRIXx18Y1DXX/dtqL3uEvFYhGeCyPVDm0HsIRKTdux9i4eHDBndN3x9nfz5nBU+/DPNmNkkxfAfvh+SueuQTybGGjpp5YzpV33N15/WvIwxvD4kSjPgrPtanls8KGaO+J6J1THSyMd/+b4vvbSx59OxYvSzmPRj2i9U/jSy9Ge+ruVbTD4hvczScVn2Z6kPy3L8h4cwAC0fL7dCS+i0rTJrvdS3wyzULr77oUXyHyvNZjP5+uuvZTqdyi9+8QtptVpSrVZdPzKQZo1j7iu8w3HHEeecD7IDYMRgOYB5Djtl9ZdlC/qAKnYqYpBd67FMer5a+vOmCTqbLgfbEDxHrDmmPV/5m+uF/mKd1geiQ/5o3sHvsKe5iP98LB9vxnjR/ArpwRlRZNXh0eIZPlst1O5ZZaOPD4X4aYwdGXonTX5p3THmvk6fgXIAufgOHeCZNn/eJ1kyJ+YdzC2MTd7lYeEk3C5sp5fLZcf38C7aGju0ZrOZ6TjG8xoxzi8uLuSf/umfNthCP166dcAcNJlM5OjoSCqVitRqNalUKrK/vy/1el2Wy6VcXFzIdDqV8Xi8si2BJyoPRhZq1gAHw+drIm+FqfZMtJR3fLBChviupVJphfmHyqHDgmhmxox7Pp+LiKxsuRARF7OoVCo55vT8+XM5OzuTwWAgBwcH8umnn7otG1zPJEmuHWSnvTt0Hbit9YqsBUyxkNQhHPSzuo14oUR7tmthz+/oNPTzur21IqFJl9VSRKw0rXpyfrivhY8loKzfyI8VnlC5rTJa/0Wu7yTQoWz0WA09qwF0rShx3iFhz+X3gaC+MulnLAVFK5G6jLHKjC5DmmGpy8IKBe7rPvYp/TymdNm1UszhT66uruT8/FwGg4F8++23MhgM5OzsTK6urqRcLrvnwCc4hjXzE4tnaOND30P5dDrok3w+L81mU0qlkty/f19E3hhlk8lE2u22Swf1qVarK23BcfL0YTKaj1hzJjRGwUNRVmts6rqhjz8E6vf77lCz3d1dabVabocSj0l4mmPxW8tRptC8DNE6SrPu01gF17qGXQHwNK9Wq85QX7d8XC6fHIktZ4xBGXo+rUwx72R9DsQyPm0eWu+GxhjvgEiTM1bad5V8+oVIuhzlNtO/kTZ/6zTT8k3joyGAQM9XS7fxlcOqX6j84FNa9wdZu5F86fvKpCkGHIm5F9smMRTqWys/1F/rNqFyiayG+ZtOpzKdTmUwGMhgMHAL3BbAoMeMtaPNqhODYQAKLM9gpJGFx0wmE/nmm2/k4uLCW98fM52dncnf/d3fyRdffCF/8zd/I5VKxR0ePp/PXXhRjrGrie1FgOEYOwhJwN/QAcvlspTLZUmStzY69EDEPcd1HdOXxxnu8S5sPa6g1+J9n+d5lrEVcy8LoU5aV/HZItrm0HXXntk+HmXZKcxzNe+15nSW+jNPYhuC+Qh4Op+dwP2od/X7AE2rvuuUl79jZKyPfHor/9ZtY9nEoTFhlV8fzgobS+/y0H0co39a/zepk2VNU8s8X5vreeJbmBFZDe+MZ+Ggxo5qPM/YY5931ljnffH4L5VKsre3J8fHx/J//+//ladPn96sAbfk6J0B5peXl054Xl5eum1WCDsymUwkl8u5A2E4xpXI9RVSJhZ+PAHZc9pidvp5i7Gg7Hie8w+FLrEAmJBhwu9ob3sN1lxeXspwOJThcCiNRkMuLy/l4ODATT7OgwVKCHDjNsRvjh3MafqMbE5Pk8VEuB90e/gYuE/AasPQp4SwQLHIEsYhgpFuldVKN5SOz/jzMe5YYav72OrPmPLjmdh6ZDGKQ3ly2r4xFttfSMeXn0+RWEfwh/LRYK7Pm1fzDOYV1vhgIc4KIYyJfr8vnU5HTk5OZDKZyGQycWFPOD3e/WH1p1a6tYJtLSb65iUWBKvVqlQqFWk0GiseaaPRyKWNU8FhNDEAxwdL+byBfO3JFOJFacYNK4w6v7tKi8VCRMSNh0ajsTI2RVb7OUkSdyCqHou3TbedD4zmxWKx4mUVywcsssaMNSbT6rapsRSStzchXxv5eCrnz/dCwIL1TkjnsPJ5V2P1XVKMEW7J39gxdZM2s/TqTY3lmDmjjXhc37RRfhPdJvYe37+Nceyrh7YVLP0Dz/E4A3ipQ7HoXUx6N52I7dyky6T1J/Yq1TLYpwfoNPn+YrGQTqcjw+EwovV+fDSZTOT58+dSqVTkZz/7mezu7kqz2XT643K5lFxudaehT/bxXBWRlXehb0AmI1wBO2pAL+H38I28LD5gAcywuzVoDOLwlfw+LwiE7FDkw7/T7D/fcxbpuZpGPl1PH6JpOQBqfgHbxvLOtxZMYonbI6TDYO4nyaoHPtqC62DhEmmUVXat0wdp97UM8NXBZ/PH5s07AuDhrB2T9C5fPW4tu3FTFCN3texal7QdCB7Bn9DCEs8pYJ+wvXm3BNoSbYvDlLU3OZcFv/kg0H6/L8+ePZNut7t2nbe0Su8MMBd5M3Aw0SaTiRwfH0ur1ZJyuewAX8Q/Oz8/d1vvdRpszDOA5DOcRFYBKQaSeFLr3wy+gPHnctdDp3DZrDLp9LXg4XQYbMIzvE0eQNF0OpXFYiHPnz+X4+Nj6Xa70mw25Ze//KVUq1VpNpsuDW6TnZ0dJ+z1QSLIH+0CxYMVWp/nPt7R3utcV37XUmYtcEozX6vPuHx8H4KTvZ/TxknI8NTKuc+rmt/XY8BK28fEtVC0trrpvDhN/vC7eN4SrlZ5OU9f+3DbWHVnz9yQ0R7qG+t6SInQ5dXX9Zyz8ggJP32NF+hCz/KYxX3MDasP8U7Iq5c9b/gDoYvQK0+fPpXJZCKj0UhExMVqFpEVr2xuIyy2cT2slXWRVWHPZeZ20G1/7949qVarsr+/L0mSyNHRkUynU+l2u86bAc8OBoMVHqzjXjabTVcOhG/RW8HTFicshU+PGeaderGAvZqyKtfvi66urqTdbks+n3eyeLFYrNRLy08YJPxt8ekQhRRYa/5kSSuUv29uoh7wuq9Wq26MW1u9rbxCBlhIabfSiJFT1vv8nO4Tn1F1E/IZZLotLH3opvmJXD+gHXW1DBhNd32OZjGk056JTSvWEMWzoesWL4g1cq30fLqTdd0HuvrGqzUutc7po7S5pfUpK0+t372PsYl6+HSREOVyOccr5/O5DIdD6XQ6zuNX70Rj/cbniRrS+7gttd6CsiRJsgKi+XQozZsmk4mMx2MZjUYym81u1qgfOX3//fdyfn4uf/u3fyv/9t/+2xW9DA5ei8VCRqNRUDfiawA7YXdPJpNrIG6xWFz5Rgi/Wq3m5LkF8OldiDzOkB8DgKz7YFyx3o5x7POq1nWz/lu8l8dkrByLtZ9Cti7KzTv9td5upW/Zj3oOx9RFp2nlydd5rIi82Z2KfmLbiJ/X+izbT2yf6bqEyhmj24FiZK3F50LEOp7VV2nlx7gFMM7fPG81f7b4qJVfjPyIJd0noXez6lBaP2CZxd/6WbQFxhDsVD6Xge0nEVk5vJZ3x1iHpOoyYpwCeN/b25OLiwv59a9/LScnJ/LixQsT59vSevTOAHOekPiez+fuQDcYpgh7UqvVXIgSK5SIZswsmGJIG1asuOE+0tb56ZU0flfXk5U53R5cFkyymHLzShZAoXa77bwhFouFUyAYjOf0obyGGJ1mvBYorcnXhprh+9rd10b6ms9osq5lAVJiyBJAVnliGHnW8mRRNtahUN+G6h0S6CFFJ6Y8/M77IKuPrfkbmxb6kBW4mHoyX8F/rczjI/JmjuMQpna7Lb1eTwaDgRPMDCZpQ1UT0uey68OQYWToj04H31hpr9VqUqvVJJ/Pu0VSbOXW/IR5MIB8Nl54yyXCU/F2XMsDSCuZ3BfWWNVtpJWkWOX2rhEOZtMyzzdfeQHSMgrT5AQ/F6KshkgaaUDK4k84NApjBzswuM6xtEkj4abPv69xqeX8bfBz1idADNKhHB8S+Qy5LO0Xqrtvjq7bTj4gxfodopuOD2ushUANrY/eJN9YPUjnbT0bez2mTFn0rjQdMI1/w+DnM6rAPy0ZaYW44Hx0u/J/C5TRXqT8vA9A4vGRJG/Dg3B87C3ZhF0E0DNLpdIKSAm7HrpnGpjM11jny+VyTnflxRDongwgsV6s7Wb8tkBAvXNO6588fnkc6/y4TJof+fQOpGPRu7KBrPkk4pcjWl+O0fnS7Nh19SvNL1gvZ9tFh8jgfkKdtAOU/m3VIQuP1++E2mMd2WGV1/eNMY+5CZ7N37ifpv/eZJzeVP5ugvS81otkereF1d58DiED5fp8MMgYAOU6nJRua6tszO+m06n0+33nRLtd6N0svXMPc5FV46nb7bpD5wqFghwcHEi5XJbPPvtMRN4IydFoJL1eT4bD4UpYF60wWYqYDwTxKXw8EbQ3NYQ7r1pzfbgs+jtNiWZBq5VKjiWM5wGIYxXq/PxcOp2OdLtdaTQa8pd/+Zeyt7cnn3766bXwDLxtkRci9KEp1kTVsQYZnGNhxMqQJbCQpl5BY0VDtw8TBCFvveQ00E/8bmhBRSs1ut4WuMiKHOejlXXrGU3cfqgH0mePdqsddLtyPrpttKd56NkYpYbHEtfT6hPdt9pDn8uSNm99Xv38vn4H5dXe7nhGe5Rw+mmggs5XtxOPFSj5Vr2s+unVfD0XeV5jToxGI5lMJvLtt9/KxcWFHB8fO68LGDKY8/j4DACUCUYP15tXxhkg9/E91D2fz8v9+/el2WzKZ599Jru7u/KP//iPMhwOpdfrBT3+MYZglIuIC9vC5z3gUy6X3TPweoPip73k0ZbwPtKLGtqo4nmJWHRWve86wcNcz4MkSVxMUctY1LIE7ZYFYIhRkGOf0UaPLw0tT/n5JHnjXXh5eSm9Xs/FZWXD3Fp4scoT4k8xFKqPr2762bR2sN7LarT4+KPme/xsrBGo9UarvPpZnUfI0/xDm6si8cZ1qO9x/6b1D42ZUF9b8zEt3Zh6s6z0lUnPQw206N+ch1XWGPLpFL40Y/s49KxVLzxvtaulu1j5WO/rhfpOp+NkLnvZIV3ICeghvv7y1ZfT4hAZInaoF34XITx8bQYdYDabyXg8dnrGlsL01Vdfyfn5ufyLf/Ev5MmTJ1IqlWRnZ0cqlYpUKhUpFAqyWCxkMBi4xQjd76G5hb6GrjGfzyWXy8loNFrRbQHYw06GB2a1WnXpw3Zmz87lcinT6dTUYdhG1rYl29hw1tA6I+tGrGch7Sx8xeJh+rqmddKP6ZcYR8U0PrwpsmxY3qXK4Kf+sA3O4KbeYanto7R6ptU5ph20zLDwhDQdFL95B6yOjc27Lqz25HRu0neb0EH1uI951qePcJ9y/zMYrZ1lYDNjvmN3C/iNlolXV1eOx8DRFTtdfCGruHza7kLeCIM1HA7lv/23/yYXFxfy/Pnz7SLvLdA7BcwtwgDBShYO/eSTsXO5nDvcY3d3163EWFvfYxgWk2U487OWkhl6h5+NyV9f10JQAzY8oUEs3HFQyvn5uSyXS6lUKlIul92J4xqc1ACtbkefAu0T8D4DzGcA45vTizEcQsp/LIWMjpDxp+viA0Fiysh1jzGCQsw0hkLjMhbQ0Gn5DMGblIfLFXrWZ9Tq//q50WjkDnKCUmulkWZUZX1HbxvmeVcsFmV/f98tOlnEwpJ5AQO90+lUOp2ODAYD6Xa7LrwEzo7gsloKoBbKIBbSeF4vuvmACq4zFFTwJhgt8HDWxq+POB9rUQEEIBtGDBQVGMHoF6sdLAXc8sLne/j/odFkMpFSqSSz2cydMQKKATMseYLfTLFtsw5ft3hzFiMRBL0C8pR3ZGQxFDh/Le9iyxL7Dj9r/Y6lTYxdnyGZtQ7rloV5wCYMvC2lU9b2XXd+h/LRRr3mW1nmRpp+v+l5EirbTefDTSiLHgi+uVgsnJ1myVPLmzcLb2A+bL0fA+747AzUA05afDj7lsI0Ho+l3W7L2dmZ7OzsyOHhoQPNc7m3YQzK5bLTv9hhKlZmW3Yo+g06CPAB6H56V6QOJZjLrYb24Jj7PruY82U5z+MepHdoh3Rm39iMtc18tAm+dRO9KpbW4Xch3Q//Obwt6+wALNnusWLYaxspVh8MtZdPV+L/zDf5O2T78rM8xnjhhsc5t4MuR2x/rKOjhp4JpcdlSpPV+rfP5rX6n/tYR4GALQt7iXlKklw/LBWhoTRYzrZjqJ10OcHXut2udLtdubi4kF6vt13gvSV6Lx7mItc9fpIkkcViIWdnZ5LL5eTo6EiKxaLU63Wp1WrSarXk8PBQisWijMdjmc/n0ul0ZDqdynA4NE/i1gxNTxyL2YWENspsxfH2KX0MivHKHfLl/3zgmMWg2YOSlQCRt2Fr4EH55ZdfSq1Wk9evX8vjx4/l888/l0ajIbVabQW0ExHnbQGgzvI014qJBkkAoqGduL8tI4bTYG9bMHN9Twsz7kPd5pbHtxamuowazEAZWaHi57l/uX/AJDktq6zc/nocWkqRT3Cw977V5txnnKZuD1bg2GsU13UZkS73j243baz4lEAma6ygnrxQpBVZay77BGqSJPLdd9/J3/3d35ltepsUUgAePXok//E//kcXpgrPs6eDyNs5obdjiYh0u105Pj6WFy9eyOnpqUyn02tnL2g+jG+0oY4vKvLWK8t3ujd7rbOiwB5EqAPeq9VqUigU5Pz8XCaTSeoWMosv63GNVfzZbObap1qtSqlUcrKkUqm4MFbwImMPavYo0Z5vVt64zsrmh0ZJ8ma312KxkIuLC7m6upLDw0NnDIrYcaJFZKXNMHa1p7nVfhaFDABd3th6ha75+hNjt9vtuljmxWLRLdyznEgjS2H3lSlW8Q/xUksmxrZX2k6orKTlkJV2FhAglA6npa9ZsVhvChx8iJQmizfdJrF9mjbuLTAEv5m0LhPa8aR1Pk4j7RnfNX2f07N0TV8dcD92nGbRs1j/TuPLrC/4eDPrv8vlUgaDgYxGI7frC4v0IrICIMTyTx+h/NbuFY5DzXaD1c9sJ+DZxWIhX331lbTb7Q9Wpr8PGo1Gzj5/9uyZ/PVf/7UcHh7KdDqVYrEozWbTeXrP5/OV8Hvs3eqzU3ykxxJ2U7KODC/zUqnkAK58Pi+VSmXFjp7NZq5s2gPU0vE4b975zja7/saz7OmrzyhCGkzWXA7pxVY7xfLkEGWZtzeR96HypNVX8znuI2tOWzv79c4B/s2AqgZW9bdVJl9f8m+2p5jX+fQc5oUYV5rnapmYNq+yUAxmsWmK0V2Yx+M/96m1KII0uZ1g4+zs7LhdLJjXsBevrq6c3Y3dKnAIBo8LyT5dH21zgYfs7OxIvV6X5XIp/+N//A85Pz/fepbfMr03D3PfhGemhni2EKLFYlGKxaIbcBiw8FJkwaO3h2svSM4vjXkxGONjzHoCWIo5T1adBwsyzXT4HjM9Xi2FUGBAGcorPCsPDw+l0WhItVo1Dx/AZER+ANC1R6U2gnX9dd1DbcbPa8agBRC3m9WGFlkGT6yhrfPS6XBauh1ijSmrDGkKhu++Lw82HKxy+97ha2kKWEj58RlzWY1067m0fK18MH/u2iosx9q2jGxt2PE8n8/nMhgMpN1uy+npqVtEtBQwThfpcR68as7KBB9youenxVvxjp7rMEJgmE6nU6dQ4BlQrAIWUiCxkLqzsyPL5dLVr1arrQD67GWBdrH4W1oZYp+/a4Q2gGcgDEnfdkHNW7mveIym7T64KcXyQ342xrgUWdVDkuTNLhARWdkFkqU+WevOsiQkh3x53MTguesUY3iH9BZQLpeThw8fyt/+7d/eUknXoydPnqw4Imjyybd1wJJNzsnYucX30/LXfWb9Zv6iwx3ElMUin1yJ0cVi5qdFVpuE2nSdvguNhbR3tE4C/QExyyeTiXP60YBVSMeNqVeWMqf1haXjAvTAQjrCbm4pnpIkkel0KiIip6enslgs5NGjR3J1dbUCXOdyOSmVSiLypv1ns9nKrj89JkJ9GNL/RGQFjIbub+m5rLdWKhUT1Nbgo9Z7uSx4F7ok9AauFzvE8EKfZXvrtvDpyr5+uQsUO4f1/I2xMUNtlXZNO4SIyMrOQnak0Tt72fEIdfTJCJDF7yxZpseZHmPW2EuSVZDd2slzk/FgzcvYfg3NaZ1WmnxNG/+4xjYsp20teIR2EnAasG041jj4g44Bj2dCDkS6/FbeGHMA7c/OzmQ4HMrFxYX0+/3tbqhbpvcCmIcUGRaAUMD6/b4kSeJWVZrNplQqFTk4OJBSqeQOjBMRt416Op3KaDRyv6HEMUBi5W15VPjAQzBoH9CjgURWHkVkRfDyBLIAPgamdNlyuZyLDwhQC8IXh7A8f/5cHj9+LIeHh/L555/L3t6eazcNEGmBweXk1SuuB1/TirTexuLzDmYPfm4DTivE7H1txH1qMWgoMlb6DFZoRq/f0W1jMXA8a+VnMX9WHPWuDNRVH+CI9H3jiJk9t4e1oMP/eexqIW158PBzKCu3Wwj04XYIGZB6bGmy5pP+fZeIFSQmS6ADAB6NRtLpdOTZs2fS7Xbl/Px8Zezn83kHGjOxAOZ0IYxbrZYUi0WpVqvuHpQAGA/4aE9y9sQAYayCJ4/HY9nd3V0BqS2emZX4Haz2TyYTF2rk4OBAisWi3Lt3z7ULDH2MScga5vEhhZbblhcqPjRKksTJyoODAzd2eBthyIMB/c+7JNI8XPRvX7oWhZTkEIWe4Xsw4DudzsoiAoxrH//OSiHeqY1BXz4xY27dMqYBF1nSD8nurO+lySitb2kDBPSrX/1KfvnLXwYNmLTrMbJM6z26zJbRlDUvn8wLkdZx1uVf1hi+ybwQub4gp/mG5s+Wbh9b5hidJKasnK6lO1rv6XuhttP6cdY6+8qR9oxuK8j6q6s3ccsnk4n0+30RebtzFe+xTmOFRbD0kzSex/dC/IE9zXV6rCvlcm8OppzNZu7A9A9Vlr9PQtt9/fXXUq/XpVwuS71el9lsJsViURqNhtv1VyqVXFzz6XTqFuxvImd4XjDoze9Dv0PIGP4uFApSqVRcPojzzAfzcTgLKywsxrXWlxioZ8AedioD9ADcLBub/6eRNbeyvH8XaBOyJJS2zsOn52qbWesUFp+xZL1O05JrIIs/Mk/V6aa1lcai0shKL/bdEH++qbxNyxP9g9jifI4Gl0nLNYDS+XzehYfW9iDbvohJzmeCWXZ8lvLzmNE2dbValZ2dHfmHf/gHOTo6khcvXtw5B8CPkd45YI5BpL0kQ8+LrILTMOiXy6U74E0P6CRJVuLkNhqNFeHpE3yhAa4VYM0M9W9rwug6W4CfBST4vpEePDr0YSR8Ku9wOHSKY7vdlgcPHki5XHbAuQYBrHJp5Ry/WbgwM2aGqFdftRJgbcVLU4Ytwa/7Ra/qaYoRBCEjV5PuU1+bphnnaW2g29V63wceoL0xF7NQyBC0xq4FUOj24zHDxntoLOI9/taAhDVPY/jO+yIuv/Zi4HJfXV1Jv9+X6XQqJycnMhgM5OLiwhl4vo9eqIHhUCgUpFwuS7FYdIo8wO5+v+/1stHbG3XbW9scRcQdyAmjerlcevnoOm2oCbwxSRIZDoduW7CISKvVkul06ngS6sVpsbc595Ou+4difPgI46rVajnDEbu69BZPBjosBRHzl8eAHo8i1/kUaBMKufUcp2/JD81boC+Mx2MZDAZOp8Bc2tSWfV2+EFDoe38dkCEm/SyG1U3et94JGX9pslvrjyJ+8CwkF7Lwo9hnY/P18bMQWbKf3w29HytzY8vrG8O+dGLGiuYjWXZ7+HToWEqrg563eCetzbXOk6WPQnPf4nFp6Yb0XD1uYYuNx2MXUk3zeGuHLxODhZski6dq8IG99kTE6SJbD/ObUZK8WXxPkkRevHghjUZDnjx5IiJvbFEATGh/HAoKR5DZbLaiY9yEB+s5C50ll8u5Q2nhCY4QfTomsYishCOE3pokicMPdOgW3w5tjpWONrA8mPUZQfqQXE4zNM+zyqQQL7lNHTeG91mUJkvW5e9p7/rs3dBu2VgdSadtvRd7bZ1nmDZhL8fqOGn6ReietjsxjzhsCqejQ7FoxzSRt7ILzlU6gkXILoqpV0g34zJhMa9YLMpoNJLZbCYXFxfOmWdLt0/vzcOcgbHQcyKrjOby8lJGo5EkSSK9Xk9ExAk1ADCVSkVKpZJUq1WpVCpSLBadoMNgHgwGMpvN3IF4CGEA4Bn5aZARZAFCuqwsGPk97dWp02ABywqnPhyF84OSx5OLD7oTeaOk4FMqleTy8lKazaYLdcPxqDUx+MGKAsrD3lsgpKMZFW994zrq9raUdt03PFZ0H3DZfOlxX+p25fpYxifXj8dz2gomkzaUQoqP73dIKGtDkvNhph4DmofmrQYjLLLmSMz1EHCi20+PFT1erDFyl0j3Kwt67qPLy0u3e+Tbb791O2pQRy24Qwrczs6OlMtlaTab0mg0nNEyHA5lPp+7OM6j0ejaFjROy5r7PI+KxeLKIcTg1yJvPHh8XhlpY07Xy1J4c7m3W617vZ5r11Kp5MBhEVnZTi5ynXdx/TDWeXz6FNsPha6urqTb7cre3p6Uy2UXs5vlGSuHMBRns9mKUmnxXL1Yo8cm8yotH2IMNZ/iHTL+QoR8Ly8vZTKZiIi43U+lUsnJMq5LDGUx4qxnQnzTV+dYo0+nd9uUZujy/3V4tk+Hs8bjOmmDblOepI19X39pea3lZCiN0PixyqLlSqzRHjPWtO7C131OLla6abpYTPljx4qVhk+vsd71vaPfy9rusX3jKw9fg94LDzvYUCgj80QLPOQ5yKEqbjqvLB2H9RMAKAgNgnjWAMyHw6GIiAsVt6X1CTv7vvvuO9nb25PDw0NJksR58S8WC6lWq+6DMQHPap+nucWfsspffGtnLwDVGCMYG/iGbY089a5L7GTHQpKIXJsLyJd1cM4T+WB+sL6lzxhLo1gZa80bfu42ZJwv7Rjd3seXfOMlRt/zpZtWVku2xOYX82za81n0vVhKwyxC17OOmXWes+qsF0F5ruo8eFEM3uQcdpTPBdS7S3R0iFjdIlRnPf/4A95QLpelWq1Ku92W8/NzOTs7k06nE53nlm5G7y2GOSjWGBa5biByGnxYB1aM+VA6CCCOP5TL5WRvb0+SJJHDw0MXTxdbC1k4MTFwxQChNSl9MSi1J55VLw02aGahlVJdHtzXoDxAjZcvX0q5XJbBYCDValXu37/vQC1uI85bbwFCHlidtwAkXRfLG91qu1A6vt9WW4b6Jw3ksoBBkAb4fKAztwk/Y/W3vu8TJBYIwGn6ys3jg0PwcDo+YajTC/WXVR6dtu4rCyiznkPZfeW0yqOBg3cBBmUlFowisnKYZi73Nsbj6empjEYjOTo6kslk4naOgNdYfY17WDyENw9CTMBgHQ6HLp/ZbCbL5VImk4kzBpC+rw31XOC2x5YxxFzHVt39/X3J5/PSbredF2+SXF/EiTWSfGAJl/vy8lJ6vZ7znkaoLxhGqDvXF20KnmelexfHVRa6vLyUs7MzKZVK8vLlS9nb25P9/X1XR154TpI354gkSSKVSmXF60J7WDFYosMn6P9M1hxmymIYWPxKjxUr9A6+sW0cbYHFeMzPdx0/MKQ73YZxexsUM6c3VRfdXhyKLi2f2wQNQhTTPrpsIZ0mBjjQacWWk9/xva/Ln2W+WDxjHe9TXxl9PJyf5WdixouVhkUhPS/2Wb5ntXGM3uPT6bQOncvlnH3U7/dXwnXpwxtzuZzX0xbPWM4nuh5cRpbJLH+1zQLwBHoU24HsLQxwZbFYyNOnT7db3DdIV1dXMhqN5PLyUr755htptVryySefuF0JCD1SLpfdoZyQqwg56HPUYPLNiyzyRPMWOHJwDGQeT4wnAGsoFovufe2JCj1CA24ib88nA+jO+XK4RADqnIelZ1lyIUu7xd7fBPHc5Wsx72jKIruyyLes5chCPvnJ5LP5redi8kt7Jy0/ny6ySRvbh+uwDMDcwJzkD58PwM9q2xLzE4d0sg2DcKMch5xtQF/7aAqNE1+9wGPgAAw7/ocffpCnT5/KaDTK2KJbugm9V8DcZ/BZgJv+z+9pEIO3BWpDv1wuy+7urtRqNSkUClKv150AQhzbXq/n3U5llZMFkzXwtRBgoWyRntQa9IKCyfXntPm6tfUQjOD8/Fx2d3cdeIV4xVBWOD+r3dlw4Lz0yhs/x0oy6srMTBtA2nvIYsghpgry9YXVp/o53cecpvU7lL5uQ6uMPmEWK4B4fKTVIzYcC/chf7Rxo+euVVc85wNEdbrcH7jmW5yxDGHLy/6uEq+I69XxxWIhk8lEjo+Ppd/vy9HRkVO+eR4xcdvBYCwWi9JsNqVUKkmz2XTKwWAwkPF4LN1u1y0YsgefbzeNSNxiC29XXS6XznhFKJhGoyEi4gDzkMJvlUE/q+cS85TLy0sZj8fu8KdqtSr1et09gzBdes5pZcnngf6h0tXVlfR6PalWq3J2dia5XE5ardYKjxa53ie8ZZi3KfJ2RQZSWH5Z53hY5dLyzeLTXDak5esfzStYllnlQfm15xnKoT3ldRvdxIhI00FixuAmjEMfZZVRsXn75NdN09fyzMrL976Px2Wd/ywDN9V+SEPLYouXxpRX6ydpwEEMhdIJ6VFad9b189UnNHfS2j0WKAi9EwIVslAW/cWq103HlrZtAHRCjupFUg63YfFTSz5zaBaffchl0OXSQDnHoQWYqQ96RBlF3sii169fy8uXL1diXm/pZjSdTmW5XMqrV69kPp/Lo0ePREScfsCLEzgzR0RWvLXTQmta5LPxYt5hD3CQNa7wncvl3HUet9AbdBx0HcaFdW3sGAcIyGeUsX1k6Vyog7a7Nfns0LQ2yqrH3ETviS0T7qfZ5GnpZbHj+Z6FS+hnLFvFx5+1bArV5TbtjrS+yyrLs6Zt8XkdnUHPSf7wc2wjs52HucnnNOFjLWxtmiw5hnLzIly1WnV21MnJifzwww+3Up4t+em9AeYhQzaG6VmAiu8dTEysaOdyORmPx5LP5+Xi4kJ2d3ddWJJyuSytVksODg5kMpnIfD6XTqcjs9nMbcUIGXWWUmhNfAsstAwDkVVvTWtSscKHuvJqNSYZT0II9+VyKe12WwaDgQyHQ3eYar1el2azKeVy2YVOsEBKlI896QGa41kNJHBdWOBb48FiJpbRy23CwAe3n+4niwFaBiw/B3DS6nMfaYFnAT7WM3p8W6FefPlpigEFkH5oizMbNVYb+jzkrTnDQkvno/+HjFAuh7UAYM2fu0hQkAHCQZD3+30Zj8dyfHwsg8FAzs/P3TYxGId6LqE9qtWqWxiE9w7zwk6ns7I9FkoD9wnmtlbCmXzXtRIJQ/vq6ko6nY4LD1Wr1eTJkyfu0CccDIp3LGLASY/Z0Hjn8XB19SY8F4wXLCKAP47HY8c7mZexgow58TGdUD4cDuX//b//Jz/72c/k/v37K4slut4szxDbE98MfrBMwjcbetbhoBavFAkbwpac8b2n5TLH7hd5C+bzNmiMCdQBi+/wvA+VcV3+k1aHmHtZDdcsAF2sUfeu5oevHywjlXURrUukpR26HpJ9PDfWNdJ9eflkM78bu1Aeyid03/efr+t+8ZXV2plipaVBBn1/nbkXKn/MO758s5Yndt7EPhc75pjP4z8OgUaoNt6izjvRYsun9WvOzxojDHLzNfYaB3jCwDjrSlx/yCBsb3/+/LkcHR1t48JumLAbAXrr4eGh/OQnP3FhD6DnTqdTd6ZOqVSS/f19WSwWMhqN3M5Hi8fFjP2sMlCny4tBuVzOxTvXISB45wI+xWJRREQqlco1vUg7FzCIfnl56XRhDQhyvkhf61larwphJ1Z7We0R045Z+JtPhwlhQVp2c9myUNbns/Dim9ibm9Qfb5JOljGibb20d3iBM82+wDd7XsNm1u+AWHfgcxH0Yb3WjlgRGyfKohen6UNa3+Q6FotFKZVKsre3J6PRSJ4/fy7Pnj2TFy9eyNHRUWreW9o8vfeQLBaFmKRIOiPRA5onMcfeFnkrgLDlAdsfYARDIQTQow+5s5i4VV4dt9sqGz+vhbR+BkY9MxydHq8289ZHBn2RNkCqSqXiGAvyBoEx6fKn1T1GsfEZclb/W0avdd8ygLVB6Uufn+V80oyfmPHAz/nSi8lX19eXh3VNKxhc51A+af2t526MMpMmgHzl0gbyOsbtXSJWDMBv5vO5DAYD6fV6cnZ25owKa5GB2wLpQOiCnxUKBZfubDZzRi8fFsrp+sbFOkAAlw8KPIe5ODg4cGFirq6u3EGcaWMu1J6+dzhNxCznmKZYWMChVTyGrbQ+lDEWS/P5XI6OjqTRaLjtwZYiy7saLIUVxAYib02GFyJ7XInItW8Q96kPFMR9/dsa37iORUC9GIoy6PJfXb05fJx3rbER4MsrK1lzL0ta6/DWrIBC2ns3qfumymHxJZ/eFZKb65Yn7f1YECJ2vId0sU3wqljARPPNdcAJCzD38dzYsbvJcR9Kf13ZhefXmeubIs3XQbAPsLjN/RPaORsaM5bewWUQeWvrgNcyiGLFI8d1vTMOpAHLfr8vFxcXTsfa0mYpSRIXE/709FR2d3fl0aNHzgaHgwh0X+wKwDccF7QdHtIDmDbB93zORPjoWOS8iKO9XJEe77oEaI4Y7tjlyAv2mAPMH7RHLe7xbje0k1UHkfBie4huwuOy9ElIn1+HNqWzh9JZV+59iBTCNPgZLVcwb/QYxre1OIQ5oBdOmdhGYHvz6urtmUuwRawdrFZd1rE/0/5b9hMWfSHP5vO5XFxcyIsXL+Trr7+OLsOWNkvv1cP88vJyZYsR32OBwteZYgGyNMMVxu9sNpPBYOBApnq9LqVSSR4/fiz5fF76/b5Mp1M5Oztz28QsUNZSDBm8tiaIpdBpYJfTZEAhl8uteHUwo8GqM8qgt84z4ykUCrJYLGQ8HsvZ2Zm8ePFCarWaVCoV2d/fl0qlIvfu3ZNSqSTlcnlF8HNZmfnpsmulmgU8tw/f1x9dR84boIfVHzo0B7dXyEOV+8UntLnc+l3dj/wO+o3bAKS9tfGO3vKvy+EDhUTsQzmtuZYm/HRZ8a6O2a8NZjZ2uR6+8a+J66PHgu8dy2jftHG5Kcrlcu4w4na7LWdnZ9Lr9WQ4HMp0OjW9mDHmwbdwsCbHUhyNRivbp7EtlIF3a9eLiD/EBMZSaKxYfF331fn5uQwGAxce68GDB+5QZit2upW+NX/SwC8GSRGSBkZKtVqV/f19mc/nksvlZDKZXJsfqAsUL58h8iES2qPX60m73XaHcvF9EVk5FI0VX5YBWgkGj8CiBCu0kE28VRt9wtuXLb4C8gGhaWAO/+aywgDWHiiYk0nyJoZ7o9FwshS8/V3wGUueaUMtpDvF8sN1wdabtoHm9aG0db21TA7lYe1osGSTTzeIHVuh35Z8C5WZ68i6XVo9LV66afLJYt03/Kw2clmf0X3DxDLF4gn6ff5OG5+W3qYpVnfx9asFrPh+p5U5Zs778udn9c5R7PqCHaRDbMEeylp3Xx0gO7B7h7/Zw1DLGgZQUBYOW8HfLGu+++47OT4+dt68W7odWiwW0u123S7HTz75RJ48eeLGDrzMF4uF7O7uOr2w1WrJYrGQcrnsxiL6MTTvQT6M4aakeReHmNEgGH/zGWsY5wi9wjo2dAnWg9gzVtv+HD6PD7PlhS32qEU6zHtDFGq3NF0iKx/VZNm2Me/F8vqYMsa8n2aLsB0cyifrGN3kuE4rh+4LH67AujSPf9atrP8MkPO3zl+HJNI7NlhGsW6BNEK2w03I6ouQHon6lstlKZfL8vDhQzk7O5O///u/l7OzM3n16pVMJpONlW9L2em9e5iHGPRtGZuW8smCBJMNymKlUnGeZPl8XqrVqgMKfAaKxQhZIIWYZwz5jAHkDcaiGYz+gJhhISwDtl5CgZzNZlIqlZwyoA9R5fy5/nxInIi9Su9rK8tw5bSt8cPtazFDyzgJlcX3bGy+mqy+9+UXI7x9DN9XP8toDRnv65KvbrqsVr/elEJ9cVt85aaEhbvlcim9Xk+63a4LWwLAlneH8C4TbMnEgUm8Mo0tnbPZTEajkTt0E8Rtn8Xwv4lyxmngEOLpdCqlUskZDsViUebzufM6skiPMWvMxfQ377SB8QIvHqRh8Q0N7nwshH6ZTCbS7/dFRFYOuOTndL3RFhiX6BNeQBW5Lpvw7NXVm0NYLy8v3TcWNfQBWgwWIh1dj6x8E8RylH/jeRiZGDM4LBuH9m7C8ML3umNr0wbUbRlkN6V1jG9fGj65nsVAX4e4n9fRBX2gkTUO18knjWLLH+LRrNOFHBzSKA2wiKWQ/PM9lwYo3SbpMbou32E+D70DO9Hm8/mK/aPBiLSyWW1lASUAFCF3EC9aA+YabGHdghdhATiyHAG4uVwupd/vS7fb3YZiuWVKksQdJt/pdKTZbMpkMnELIhhPcJgolUoiIu4+DmpHP7GzQprNocuRBaCNfU7/1qAgFtWhy6NeIuJ0IJ+3uP62DiAUWbWpWIfh8nDYVJTV2tkXKzOyyhTdTyF95y7qHOtSrExJq3PIXr6JzhhLFuaj+TnzdAa+fSFY9FzR31zfEG/XYR5DWFGoXqE23IQuzHVGu1QqFee8OhwO5ejoSNrttnQ6nRvltaWb03sHzNm4ThuoN1FEfcyIBQiuYdIhFMv5+bkUi0W5d++elMtl+dWvfiWz2UzOzs5kNBpJp9NxwiuLMOGJj3t8H4yGn48x8lmo4hqDbFBIOA4rBCgUUS7baDSSwWAgOzs78vr1a3doYLlcloODAymXy7K3t7eyms2Kq64Dn3ZuCXtdVw1+auaqVywt5mi1LYMt+n4IeMG39gDnMvqMb84fz+kxg7IxQKrT1XXlcvA3l9WaA1Y+FlnCRgtIfY/71kpbK3K6HiGvcX2dx4VPkLEBeNvKxDo0HA7lt7/9rcxmM+l0Om4XC9oCCgKU7L29PXdYJuo+nU5lNBpJr9eTyWTivHDwLtqAQziBfH2s56E1xnzjjtP25QGlp9PpOMA/n8/L/fv3pd/vu1V1n9KzSRqPxzKZTKTb7a7MDYvvau/3j4ngYX50dCS//e1v5cmTJ/Kzn/1s5fwLbJdmT0TMee31JCLX4siyhyDugyBHWEZAdgC8wdZljrvPXo+an3AZRezDsplHoB1YxnCMUqTT7/fdQhRirmIxmcu+Sb6jjZWsxlYMsBV7PSbd9zE/0owdJi07fHwG9WAjkK/r3/p/ljLFkp4jvnR1vXguZskrZmxpPUWPUc3LtT6o0/DVSd8P6Vu6bDehdcfzTfNeZ9763vWBG6wXAiQfDocym81Wzk5hoMLS47WebunuGhznbeg4oBMAI+v5XH7krR2eeOu93oKP95IkcbuLv//+e3nx4oULR7ml2yWcD3Z5eSnn5+fy85//XB48eOD6B+NtsVhIoVCQWq3mQqdiB/hoNDK9zX16KGhTPC+Uj+Z30Im0zmiFn+Bd3/wNfUvb1HqHnrbvdT04T06HdSNOy/JA9y1ohtpJ/w49b/F/S9fhZ0L3spQxtmw+YvseFBqLMXI1VJ6bPBOTt6XTaJlh7aDAfwuz4fHHWADKxHwdfIBBcCv+uIW9xMrcTemo2k7WaVttsbOzI7VaTcrlsnzyySfS7/fl//v//j85OTmRZ8+ebQ+gviP03gFzkbgBnTapN8VwmBlCICCeGOLZFgoFubq6kkql4p5DTGC9ZdwHJHK5ffd0vTRImsa4NQCgGRyuM2MB4+EyQXmGECgUCk7RTJLExRzGoalQepkpcJnY49xSbtKUD30d5bZAYauNfddiSPddmmLGZBl23LcWo7cEQEz669xfh0L9gu8YAEaPZd+9WAXVyuemisltEzzLsasDc5FBOhFxh/DCoIQwBY/CB95gLGwtxWSTgInvvu43foaVczYmYDhrfnGbxPwk9nnr98dAkGu9Xk/29vacQYoxBOCEvf0sYhmiwQ6+zmANv6ev4Xn2PN/d3fUeHurjqz55wc/it69MSOvy8tIBLbPZbOXwXniT6faJNfxiZctdGH9WObLwF20whWjd+maRHb776/CjWF3N946vHWP1BGtM+fTUNAr1cVqauqxW+dPayrqWpoutM14s/T0trVDbxOjsVr5pea4D6OG+5rHgZ7wzjQELXgC0PMt1mnqXDn8zMOiL/azBFZRRl4OBcpSVv7VtA8LC63Q6vRZ6bUu3Rxg3OKum3+9LuVyWarW6sngOnRDylWMXc7iRfD7vdiuiDzchF9P03bTr+hltX/OcZ2cp9kLHtwVC6nLywpJ2uPLZvxrz4GvsXMZz3XI4iKk/k2WHcHuEdKRQeqH7WWx/3/Ox4yoWb9ik/pZm71rtrPVy/Zt5uMaR2BFGA+Yab9LfKJ+FQ+Ebsih0UGes/nMT2z9kw+rnQjYwCDysWCy60FPFYlG63a5cXFzIycmJdDqdld3gW3q/9N4B8zSG6DNcLWJm70vPd49XBLXhDkXs1atXbut1rVaTTz75RPb29uTzzz+XTqcj7XZbut2ujMfjayvdnBcb26G2ACCBD3u1Wc/rdkMeKAvHSuPJz0qmiLhvtAszQcT0HQwGks/n5fXr1+6gvnq9Lq1WS+7duyd7e3tSq9WkWCxeA0y05zCXkUEZrfj4iD1eLMBF58WCRCsDWoHxtXXadQZKrPLr8jBphd3y3OE0QvXU489a+dZp4H3fWAs9F5p7IG5zrp9vnup+0WQJSp0WjwkLvLoLtFgs5PT0dEXBgEAtFouyt7cn5XLZhX5ADOVXr17JbDaTyWRyLS65yHW+IyIrbe8T8HgupPAjXR+fttK38sNcxxkK8KBHfdnbflOK5SbpLpZpEzSbzeT09FT29vZWxhbkwHg8XgE+2CuQ43NqeZokyYonH3iTtXWTPaq0lzjGJxRnBkuwgM2x8Bk00WAd96FWwnWoNvYGQ90Qe3U+n0upVJKDgwO3sMXyDJ80HrQusBaT3jr8L2TcWs9tkkK6303zC8lCn47GwCHrEZaBHWojPY5DddF9jnf0wlCoXprv47oOAeCjGP5rjRMuExu5lpdiSB5ZpNsw9MymKDT+rTwt3Sbt3duYR5Y+yPwVPG40GrkznXAN7Wvt4uE+0x6HPDcgH3CQI3gjbBLesaHHOS+sMxiOLfgIraLLq+0Itqego+N8l+1hn++esCjz9OlTOT4+ln/+z/+57O/vr/A39Pfu7q6MRiOpVqtSq9UcuF4qlWQ+n8tgMHBjwbLpmGLloc92C1GIT4ZsQYxTjoGOb5+OxLszGFQvl8teWcaOBZofAwMRERdezrIFUVbejWfpV6xLZWk7nxy4KS/PylezjA1QCJvxvRcaZzFltvrasr2s5zXv1rsetNe475qVJtcH40HHHddnFYUO47SwiTSdIWbMWDI3pp/SiGUO/8eicKvVkkqlIk+ePJHlcin/+T//Z3n9+rV88803W8/yO0bvHTC3aF0jLJZ58TWtlPFvBn34+nw+l3w+L51Ox3lVJ0ki9XpddnZ2pNFouFjE2ArIh376yqDvs+DgcsTUlwW2BS6wcQfGCM9xZlS6/rxiDe8+fR+erjg0tVarrXjcsVKs24DBQq6HrouvD5EGrjOTYkWAy5tl3MSMQy53VoAvbXz4rmcVGlbbW89lpTSgAb95XMeU2ep//T+mH7Mobu+DoADDsIQiDMUVwPHV1ZWMx2OZzWYyHo+d0RhrwOM/jwHfeGDyKV8x+YXSZCUNIaLAV3Z3d7dxRd8TLZdLGQ6HMhqN3EIGh0vBN0A73jbJYIxWpkVWFUnmG+whrr1YrC2c+j7GDsAQHNjJcWvZUNRGYxoAp/UBllkib43d4XDoDt7VnpIhuZaF1pEx6wJx65YxBiCMycPiVbiepU4+fUvLbc7L18baA1Dnk7XN0gxtfoZl2Tp9Y42/m45DXx6sS0Lv4mcsihk3FkCQlm4sxcpE/awuG8qy7rzD++uS5rG6bAxQYEfaZDK55lGu+03zbw2UM5CCe/rgTt6Fo9vLx4/ZNrHayRrLGqxgQGgwGMjJyck2FMt7pCRJ3FlZFxcXslwupVqtrtiNkN04tJ53PGOxvlKprOy4DOnEsfOR567P/sgi47IQj2XwGOgqsL+xiL9YLEwvdO3hq/kaL5j55IHm48wLGGQP8fuQrMnyO6us8tmIMdet+3gmiy2k37Nki9ZvYtLX/Wo9r/m0xkW0g5bm5da35qFcP8a6NB/n3UAaOE+SZMV7PFY/yaInpFGsvA+R1Q/cvpijONyz0WhIqVSSV69eSb/fdzHL0QZbujt0JwFzkesrZNrAXAds00YQ39PP+yZmkrzxjJvNZtLr9aRYLEq9XpfDw0M5PDx04RLOzs5kPB7L2dmZi7EWYyTwPQZz+V0NFlh1wLta2LN3mwU24Bm9jRH5g0ni4JVcLueeHY1G0m635eTkRAqFgjQaDalUKvLpp59KrVaT/f19pzAjP+SFMvJBhsxsURYd712DLbrdQsJCZDV+POdvkfW+j6lDodHPW/1sjbuQsWaB/HheCy/+xm9LaCJdTj9kjOq8rd+cJ5cBbW6FcUhT2Kw+4Ppbyq1loN9FQQSvkEqlIo1GwwlU0MXFhQyHQ2m3226LNCuilgKjjU4myxi1SO8MYfLxYc2/rby1sQ2+MJvN3JxPkkSKxeJ2pf090Xw+l4uLCzk/P5fz83PZ39+XYrHo7qOf0T/sGaU/AFKwGITdR1gMEnlr5GovbI57DqBFb03m+OpcNoxtyzMRC1A6PqIPrMGHxyMDREmSuEPxJpOJlMtlaTabUqlUnDcc83Z9aJfF/zVZ/C2G0oyALEb/ugbjJigL746VXRYwofVFHx+D/sJ8MiT3fXVI029ZTiNfa9xYdfPxaZSZd/X5eH0aaRmCdLXRHKK0dtPP6t86/6xy3tIrfOmnvauf1++uU76spIENbUvBw288HrvdXQhRonmeZQcwX+dDGXXscb3biG0YtE3aAqZuX4xXnMsEMMJavOI0NJh4dHQkX375pTvcekvvhxBG8OnTp1KtVuWnP/2pVKtV2dvbc8/wTq/JZCKVSkVKpZI0m00plUpSKpWcwwVCqYbs7rQ5C9LOau+a2LZJ0wt8C1eYg7z7jz8+HqHnJl8Tue5prsvteydkl1jvsH3vs7tD7YJn0nQBXxtrmzyNf1v5+GxXTdbiuyXv2H7i/mf+6gO92VOc//tkBhOPDeiwvOhqeY9bOxpCfadl+W1QFp03Jp3QdbQvnGxbrZbU63U5ODiQnZ0d+fu//3v5/vvv5enTp9swLHeU7gxgrkE6kdXB7Js8Fhho3eNrllIdm4emy8tLd9r3fD53Mbyvrq6kUCjIgwcP5Orq7YnffFgZCyJLAHHbWOXSdbAoDcDkdzWTBgCgGVsul7t2qBvHq0IdRd5st8vn3xxWcnFx4Q5vgTcAPAj4IDVWDHiLsM/wsn5bRqI2Mi3BZXnQ6Lbjd339YbWz755+z0onLU9WJmLHrm9++PLV74QEvx6TPoESMqKt9gm1d0yaVrp3hQqFghweHrpFm8lk4g4TxOG7i8XCeYFpBTrEA3xjjds0Ruhrih3D1jucLyt52sjZ0vun4XAor169kt3dXXfIrKbQPGRQDt/YqaW9x7URwPwIcocP4/Qp+KH0IAuKxeK1g4R8Bwux/OGFKg36sAc5whsAnC+VSk7eYcwzz2XjkHUT3a63ZUBkoXXByDSesQ5/TnvHkkVcHotHZimHxYO1cc15WmTpvpwW56H1t5B8xbeuLz+jx5pPR/LV1XcvBKaE6poGRli07ni8SdppaYTqkWXMhvLTY8s31thrDzwOuvp0Ol0BN1jvZ/uA+TUD5QDmNFBuATrMT31zjnk7ntO8lw8y14fX+rzQUZ5cLufC2PV6PXd2zJbeLyVJ4sbiq1ev3O7kYrEopVJpha8kSeLsaoxDLObjgFCc8aPB8zSA7i6TT45qGxBzgxdyQx9Ln/LJJNbXfaR5iO+j66ZliJZ9PpnCaVr3rLRixoGWtbotLArJcuu/r619uqz+WLquft5yqNK7D1g+WO2GttW4FX/04bNad9Z9EEOx7b4p2kQ/4xrmFUJHIaRzrVaTSqUiz549k3a7LS9evJCLi4vtbuo7THcOMNdbrkWuG6LWuxZZhgE+nD6Eis+oCim9AMwnk4lcXFxIuVyWUqkk9+7dk1qtJg8fPnQHki2XSxkMBi42oI67Z21/ZOblMyz4P5ffBzCyQOE00P68Ms1tzEyQY8QxCIJtYvl8XmazmeRyb2ItI91CoSAHBwdSrVZdG7VarWuAOfeXyOp40Ft6fEyY+1krWszIWAHR7RFSTixvbrQhe8Oj/Jye9pTnfuPfPqGeBjLocvuUm3WNUj0nYvPzjVedlk9gpQkopPWhKL9MxWJRHj58KIvFQnq9ngyHQ+n1ei4uMoi9vDQQgm+e/5pPgLTyBNJt75sDfE+/G+q/kCGeJInbYrqlu0P9fl+ePXsme3t78uTJk2v3Q/woxMPYkENMPxyCow+vYgCb02CjTwM22hgUkRW5po039ophIIm93iGr9Ti2dmJggWs6ncp4PJZ6ve4ONuOyoyx6fvA1X/talAag+p65Lb7pA2tDz95medalEL/T4yCLx7lO38rHpxtZ/N+itLaEXmjpP2np+UAQa+6HZHgWQzrmGd02IX0iyxyL1b/wO7as64z3EAiCsjH/RKhIhLaAHaLBROY/4J8AJtnRhcPHMb/VerWImKCKHmfaMxY6u3YyYruPdyvmcrkVMN03hvv9vrTbbWm329LpdDK3+5Zuh2BP9/t9qdVqsre358J7gtD3ODB0uVxKoVBwO+CazabTI7FjkePax9ghInFOSu+LfPxC82Ht3Ma/NZiKecThIPm/dX6Lnu9cLsZV+NuHt+hycX1AIac5C0fhZyyHB11GbePG2D36niVDfd+6Hfk93da6vywQ3MJ+LD6od16AH2t8RTuO6OgDeDer53+oLX04g+8ZK60sOkTae2l6cwjDgSwrFovSaDQcT4Od88c//lG+/PJLefHihUwmk9Qyb+n90Z0BzEX8E4AZAk8gHziXpuhazJiFaJYJofOE9+fV1ZULzWJ5XTQaDfeuPoxMl42ZPMdwg1EfYyBpxs1GuhYcSfIWBLeYPLaV6DyglGgFe7lcSj6fd+ABvO+73a7zNG82m+7QUISisBR/lE1EXHv6tvlwvX0GJ/qd0wwZpTz+9EKGbkfLqPIdyBhDeuyHBIXPmNbl0f+tOci7P3yGYFo90G/W/E0zmnXdfIqMJah9dbyLHszT6VS+++47twjH3uQi19sj9r++lsbfstxLeycmv0ql4nblsKFbLBZXwmVs6f0RwGOMR4QeE7HBslhlmZV0KOaIxWkZChg31kKnJb8sACdkUAC0x+4qeLWxAQEAnX9rAIfnYi6Xc4vMo9HIAeh8VgG8NDWArhdlrTa22jnG8N+kwZ9mUOidT7EUMpg2RcjDV76QzLLetfQMy2BNKxN/+9Llez7y6SKcPj9j6Ri6H0LyV/+OlTf6/XXGSyi/GB3ISmed8WeNk1C+abaH5l2hNDkeLPiO3hqvw08x+MK/GSDjkA7a01zbVAy++z6Q8ayjsxyYTCYru374DAo9r3C2BhyQYGdYobxQv6urK+n1etvt73eYZrOZPHv2TFqtlvzsZz+TYrHoxozI6pi/urqSfr8vu7u7UqvVZGdnR8rlspPns9lMptNp8Lyfm+i6myIfr8qaTyyP5fzYGcfiCRaP8IG3rGfpa7qMaYAvlz3kTOMDyjUG4JNlluxbpy8sPu2z13V9tUy22sJqG59+YO0Y0niJvmbt5kG6GiS32nFTFKuX8fN837qelk+aPmiVg3/zB3ZSvV534ZsvLy+l3W7Ls2fP5MWLF/Ldd9+5MKtbutt0pwBzJmsQgvTE9E2M0ETTDBRkeQ3r9HwAPZTUJHl7gAkUSnieN5tN52HGp7RzOXScUzAmeIZgFUoDTBZpxZ3rj/vaWw75sQDUq58MWPAKJDNQ5MNgg8ibRQXcgwJ+eHgoe3t7kiSJtFotByDotBi8Bfm2/uh6W8LEEk5MIUPfZ4j60rLGLY9DXV5+jn/rLXehsllGcKjs/BuLB1ZaPgGu89HP3MQI1eVME9DWc9acvys0n8/l+PjYGblZBLavP9MUrdB4841Jn0Kv8/aVQ7+P2JPMi0Teeo2lHWa6pduny8tLt0i7XC7dIgf6hT0GQSFeoK+zfGA+ARmpv9kAw/sWr2d5oQ06DcaLvPU+5wOwkQ7KCINbgzPYdaUX4zDer67ehGabz+cym81kZ2fHHWyGumIhWu+MQhnQ1rod0+ZkSL6EKO15K89Qf8fwG+t+1vm/Tj3TDOOs/FAb6r70QuW2dN/Qt498eXH49/N9AADQbElEQVS50uqg84tZBIntBy0v1qWQXmLJyZi8rDr4ZFrsWA21iwWs+Lbkcx04luzV1ZVb3MQuGSumM+v0rNczwIwFPR2HXJeBbQfrt54HnA/sBDzDB48ibAzbGKyT5vN5532s4+ZCj9Wes3C0QZi7Ld1NWi6XcnR0JNPpVB48eCBJkriDtHmewFFrNBq5vi6VStJqtdxuCLa1GRz8EIjnqciqLFq3Dpbs8O1mxzWe85pn6FjYWm/jZ6yPrqvvt9b9QnawlY7P/rPsc91Ouh/S8vPVJe1/WhlZL8U380Ye39pLXO/y8YHnVn5Wu8S2QZodkFVnW/edddKNyYfHMsY/FvgajYYUi0Wp1WrS6/Wk2+3KP/7jP8pvfvObWyn/lm6H7iRgrhmoyPXYnvyMT/CFlGdWGjUDTiuTZlahsuM/K6+83ZA9N7TiyIYxhA2E/7179ySfz8tkMpH5fC7dbnfFEzMm1IIuoxagAM3ZOPIZBcgPnnl4n7dcWsIRzPzi4kL6/b6cn587BlMqleT+/ftSLpdlb2/P1R9lZkbOIR2Y+WuhqseKBlJRXmtM6HZi5qjrp9snZOTwM7EGsCaU31psCb3DddQGJbetrpMeB9buCCYGgHwGm/WOFthpQjekTOA+AK+7RkmSrIQ6EgkDNrotmDf62isrWGCVxZemVih96aOM1WpVSqWS7O/vy87OjlxcXMhisXBhKzAfEeu6Wq3KdDrdGrjvgZbLpYzHY+n1etJut+XJkyfy4MEDEXm76MogDcCO2Wx2DaTRFAKx2Iub+WfIa9wH/hSLxRUvQ+0ZaaUFYlmN3RAM7rBBArCGPSJRL/A/9lDP5/MyGo1WACp9cB4vWnNIGU6Xf8fyyzSKMUZjyZdOTFlCZbgpYOC7pnlYjFy1DGRL3/C9p+tpGc4+XXcdnYF1aK3bWM9xfta8iamrj2LHmVVOX7/wc+vqVj6KGQMhnVv/1/xN3wef1aCH9sD2nbvANkQaoGWBYFwO5n/Ihz3YkT7Ct8A2Yd4sIu6QUR1DXYcFYL7G/ch2AMqZJG9BVcTAhoNSoVBw+XU6HXn69Kn0er11h8CW3hENh0P58ssvpdlsysOHD6XVakmr1brGHzEXsIt5Pp+7XczYuTwej53jGZ63+GwsbVJGWmmDQvq39Zz1rH4va76WTa3DKoV0Mp/Opp3jrEU5nUaaDqjLElt3q96+99J0COuaT0fTPC72I3LdixzXrG+frqjv+eqTRXcUWW/R3DfWs1CsPWo9H0Na14Ncy+fzzqFob29PCoWClMtlmc1m8vLlS/n222/lt7/9rZyfn69XsS29N7qTgLlmypaSpJ8PMbWQoeYDy0PpWXnq/PQ7UPxms9nKczDkGQzmLZX8XKFQkGq1KoVCQUqlkttuxl7nVrnSmACYiQYoLWOEFVSrzpwGH7Ap8hZ04C2gSAdx6xDvHKBZPp93h4Sy9x1vy+I8uT6WkOK+sYSC9mDXXlTaWGOGbO080GPBZ1Tiui67xeizMPUYoZU21n0KmG9e6vHjmz/Woo4vT58A5/byKR68KMGG2F0jGKJpz4ikjwGt+MQoelnyjCmHb+xiruAAFACZMF744GR8cLI4QrRs6d0S+mEymchgMHCHf4LYqxFbC2FM8Q4B3zzW48l63qI0IwyL01hMhdyAzPC9bxlseE9kdVswvNF50YA9OnkRzPLmEREXhmaxWMju7q5cXV2tfGsvSd0GPt4XMhSyGD4+Hh6imxhKseml1fEm9bfqncXQ1v9DZUyj0FzhdEJ1su6HdBHrPQ2WpOWxjvyJMZbX7dfYsbYpYv3E0ocs/ZH5jp7XVmgo7HThRThL7ur4w7A52GHHAsiZNB/jhUENmCNtvAcHHE5nPp+7UFWog3Zw0Pnr/5rfJ0nieCV0iWq16sqEsByj0Uja7faKTbalu0mLxULOz89XDs6u1WorO5+1DcALRsVi0S3ewB7gmOYaTLwLZJUla/ligMKYclhtrO+F+HYIuNa2s9a9NF8MhYDxgei6DBYP9v3XMkzzZetZy47TY03zOb7P3/oep6/v++xzqx5W+delkHxnHr1OnpYsS3ve0lM2MRd0/vo3ZAx2TWOhVuTNDvLz83MHmm/pw6M7B5hD2bIUW820fV7ivomp09SMUz9nGQ2aMcUCV3gWihxvD4PCi0MyeTuHrg88yofDoezs7LitHn/xF38hl5eXcnp6KtPpVHq93jVjUpdFCxwfw9VMB0CI1X7cJxznPEmSFYUexFskOSbucDiU4XAonU7HrdhVKhW5d++eNJtNuXfvnvMagGLu8x7Hb+5DXNNb81jBx/00Actb5fU9S4AzhdLVnt3W+OVx6DOIfUZPLBgQo7jh3SyKp6Us+OY6ntVjNaRkcJmstrurFBovfC0GjPABGFaaPp7rU4A1GKDb1eIb8BQvl8vSbDalVCrJYDBwYZqwjXa5XMrJyYnkcjl58OCBPH78WB4+fCi/+93v5OXLl4HW29Jt0tHRkcxmM/nFL34h9+7dcwphqVSSXC4ntVrNGas46HI4HMpoNHIhXdK8zbOQ5mM+g0wbU7yzSx9gxwuylrzXh1+JyMpveDdaoQl03HPthQ5dADvRGOjig7g47jnH5dXGJ7cp14P7QMvETfRLTBohHmeRtTMp9j9fD9UlrSwhYzNUBkveWhTi1b7/evyHyuWTHaE24d1jseMgrewx76Q9FyvLfM/GtEHIPrCetZ4PeULq9DQIDZ0Zi29WHG9dD9gYvNDG3uQWT9Q8Q4M1lic7P8P14l2ODKIzqD6bzVy9kH4MH9JjGc5DtVpN6vW6KxOckJifX15eyng8lpOTE/nyyy/l2bNn0u12t+ejfEA0HA7l+++/l4uLC3n9+rV8/vnncnh4KCLX5xHk7mKxkMlkIuVyWSqVipRKJbeDeblcymAwcLvhGFeI5XebtiXS5MpNaR3gMvRsLG/P5XLX7EPwDB1BQJfVojSbOmQ7he7pMlv3Y2wq6571XswzN8133WfWoZuku6mxzn23yXrq8QPZiXMSwFfq9bpz0un1evLnP//ZyZ3xeLyx8mzp3dKdA8xFVg24NKMqSZJrYHmMoNOAUIxB42NwGriMLSPnHQK5kAYrrohxDIUQRn+1WpVcLucOzPFtN9MCy2qbmHbweaJYddSgKn6D6bA3NxQeeM6Px2OpVCoi8sYzYHd31ynwOFjBYmZcb16I0e2tlSSf8o77nLYGgCxD2QIUQ2N6HYNT56n/W2myULEUhlAesdd9ddHtp5WBUF9YMdf0NQbXmdgr5S7TumW8LUXIB8bEAhesXGDO5vN5ByKyxxu2Z+NA4IODAxeeaUvvjyaTiXS7Xen3+zIcDp38AW/DoieHDQFYgjmtQfObjtc0I8LSIdj7HHIE4cQATOMd5j8MLLFcY9BJe6Fr4AljHc4BDITx8wByWEbieSwQQyn3eYdqoM7HG/VctWRILOk22wSv3bTRExont0E+HTFNjm6yDWPJpwuHjNA0/eI2ynjbeej0ea5b9fcB5qF7lg7DwDKAcgbMtU6kwW8A4xyHnPmD5glWeXyhXyywHOXQ/A6/OS3IAoRg0Qeah4jLjPpiu3upVHILlUmSSKVSubZAAIB+MBjI6emp9Hq9Oxmab0t+ury8dDbh5eWlHB4eugM+edFa5PrYYx0FH3ZMs3ZnpOm361IaX8/K9zf93Dqk242vczta+lqaDhfKI4ssT8OTsugGMTxrU89skm4jv3dpc8ZSjG6QpvfqZ/U3h2nE4i3jUf1+X7rdrhwdHcnJyYmcnJysVZct3Q26s4A5x8HzAZcarMV938EVIYXV+u0Dg61QEtbE0/lyOXmbulbCWWnG86gvhD+enU6nsru7K71eT8rlsjx69EhERA4PD2UwGMjJyYk7OEcr1rrOKIt1CrXuA93WaBettCBNMBZtIOAbniba0w+xjOGB//z5czk5OZGXL19KsViUUqkkBwcHUqvV5N69e1Iul93qHrbKW17H+K/rqo0XNhAsQ1eDHGg/DaaEFhT4vy8sjh5HOn0uk/6ty8llxL1YgMMnvHjBQbelfl+X2QLP9JzUZdOHzIaUMLyjtyLfRUoDU5gfWkqpr/2tdtfpYFylKaKWUmEBCFbZMWfL5bI7/BCLfZivg8FAkiSRer0uDx8+lL/4i7+Qw8NDN8+39P5oMpnIbDaTr776ShaLhfzLf/kvpdVqiYi4WLEibw/hgkfX4eGhDIdDmc1m0u12ZTabyXQ69XqbWzJfxG8kWfPGN0YZFMLCs/5g4QY7mOBBnySJA684bwaoOHSKThcgjy4Lg2Xaw5Sv4ZBR5KuBMvaYZ895BtNZd9L8lf/7+sBqU6sfNkk+3hTiVbiexic5D51Wmg4ZMrBCZUp7xroXGs98X9cjVJ9Q2mngglUWra/EjI+0OR7K/ybAR6whbpWPdQo9nnzji3eZsPe4DqliObrouc66DH9wnZ+1+pF5oBVWBbaHtROF82NdFOdX4NwK2FCs0+q46r72tYgXAiBrsKCuzzfCrhvImHw+L7PZTI6Pj+W7776T3//+99Lv9yN6f0t3kabTqcxmM/n222/l6OhInjx5IvV63Y0FHlMYa4hdPp1OpVAoSLPZlEKhIPv7+3J1dSW9Xk8Wi4WMx+OVRaGbgHZMVhoh+bFJCsk7lCM2jZhndbttqp4+mWLZmb5yhdK2ngvZOlnqFCPPsjx3F+hdjN+s+kzIxo0hC3ex/gOnKpfL0mg03G7bXC7nFmb/+3//73JxcSGvXr3ahhL9COhuokZyfbAzA7ZARKZ1mJj+ncVYyJqvBSRa9y3QUxuyUEAh5CeTiVMsS6WSNJtNF1eWPf18zMfHAGOUBjb+2SjndC2jLpfLXQNO8J8PH2Klm+PE7uzsyGKxcAAH4sCWSqUVEN9n3Fj5MlNkwEPXV7cht4N+htsQRgTS5XZnY8Iqq7Ug4VNm9Bzieuoyou4+z2zfNa6frx34vy6vXuDS4I2uB/7rUCt8H/Xg8aaNzQ+FLKBIJA4s0P0eqwhmoRAPZsMeK/AA8dCHfDijiDjFo1wuy+Hhoezv70utVnOeclt6f4T52ul05OTkxHmZW4uhzLtFxPHj2WzmnrcO3dKy3uIteoz77un0+Jr1m/kxFu2ZPzFvZD4GA1vkbWgufkbLPs0DeTEcAA97oiNNHUIMeSM/Bt31zg3mfZYs5Lbk9tKLxbrNLFpXh8iapo/S9Kt16SagRwxPxv1NkA9IuGn6aW37Lg19SzZaY5ivx/4PPWPNZa236A/4nA63omOPa9uH9VD+ZsDct8OE2ymmTKEDEHV6midxfcCLtNNT2gGLlv7GbYAFR3iWw7uc9TtuA5QViwDdbld6vZ4Mh0O38LilD48whiaTiSRJ4nYLYKcB5gKeFZEVABxhgZIkkVKpJCJv9RMr9NC6smsdORm6vg69S37M5LNFb0q3VR9LT8R15BtTp03ZVe9alr4r8mEVN0kjrZ2ytGXanISshfMXDvjM5/PucOtOpyO9Xk/Oz8+l2+06PrWlD5vuLGCuPWI1WGiBalqZ1fdhmOr3tYIdAkdD19IUbkt5t96xvO4YzGSDF/UbDAYyHA6dp/m9e/ekVqvJr371KxfCpd1uS7/fl/F47LzOtaecZRBYdfGBmwzIWx4veDaXe+sFksvlrh3ECGUWnubwmIMyhBPQZ7OZzOdzyefzcnx87BYKdnd3pV6vu7jn8ESB1x3ytbaW+kBVDTJrA4e3/em24b5CvvzNY4SNC34P7/o8+K3+4YUHn6GCd1EfHVrAUhh8c05f1+2jBRcbXvodi0Jgvm4HvRUZh+jB+/Uuk66fxRP0OPApDzyG8D+Gv3F/+PgAlwXjGf8xF4vFogO8S6WSM/IZ3EuSN7tLisWifPHFF1Kr1eT+/ftSrVbd4ZIWcLel90Pff/+9tNtt+eyzzyRJEheXvl6vi8jbvuIdSAA4yuWyLJdLabfbMp/PZTQaOU9Lzes0+eS2fsbHU31k8SsRWfFAh9yBogxPRw2aYbcUL75aHqEWcM07njS4xUA4e4Oylyh7oHO9dJgGlqO6PFqWxPB0/az+HaIYozP2+Rg9zZeHJdvS6mCNxzS6aRtZgPA6fDHGyAw955MPoTpZ7aTb2QIlso4HXca0a9Z9Hdoo9C7PBz6ngJ07GJTmBTY9/2GMQ2cJhVWxZDnI8mjn8mndn3/j/CHWMXjnK/iMBsjRFtwuLANi+gp1wi4f6AzcFoVCQRqNhgPOOQ3Wfblcg8FAvvrqK3nx4oX0+/0tgPER0Hg8dmHiINOazabb9QZiPg0HMjhW4RywRqMhSfImnM9sNpPhcOgOmdeyIY1i9Y11yZIHmyZLh3of+vem6hojo7iOetd0lr5Pk1cx9fgQbJ11dJ6sbRPzrqWr+HAYH6XVRQPl9XpdyuWyVKtVx1NOTk6k3+/LP/3TP0m73Zajo6MV/rGlD5vuLGDOxAPdUqxjJ22M8hwLJsXkG8MYYgWxDxzTRjW2RA4GAwcMsjKOSc4GNxviSMPyNvEZbaE6MpBs3ef02BMF9xnEBWjBgC4DqIvFwqUBT4HxeCzL5VIqlYrzhgRwx3HsfKC+7i8NXHLb6O2rVr11n4cEtwZv9Dt6/FvgNZ7RxoPVH7jHYFcaEOEDUq06Wm1ijS0t4NBmPJZ5my/y5rGBZ0TEbRGGcTeZTKTX612rz12mEHhjAQz6Wgz443s+Zq5jDmE+YX7B2MXCF/c/Fq/wTK1Wc+E7sNUtSRLp9/tuK+32wJS7QbPZTEajkZydncnu7q48fvzYxQAHH+WwWDz2sJMAoAyAJWsRRe+IAqUpzvrZLNd1Oj7ex0Azyw7NE3nBikMu8DuhMAr8G/MM3psMwKH99UIu89PlcrkiIyEzGTDXYD7nrdtdy2xuL9/1GPL11ybJ0md0v2fJcx1A4TZA79B4B1n9lpXWfd/SrbK+46M0gzjNBrB+89hgHYn5E+Ycz28NVLN+aIVO4bmnPcpZT9XlZD3bKpv+xvusQ7GeaBHet8K3ABD38ckQsT7H/I11CT7cGLoEFi61zodyWocqj8djubi4cCHftvRxEMbvYrGQi4sLmc1mIvJGv0CIODzHvBHjFvYBFmgw1gCEwZbU8e5vYwy9C7l3E7rNOsfUc10Za12L5U3rUFo5Q/rsXerv26SsNult5WNhNEyQR8Vi0YUCg/zJ5XIujNN0OpXXr1/L2dmZnJ+fy2g0Wgm9vKUPn+48YK6FnEWW8sj/9TO+d/V1n/Loez9k/Ggj0gJBfcAnfrPhrb11cQ+CfTweSz6fl9evX0ulUpFareYOzqtWq87bNkkSmc1mslwuZTQauZX16XQqk8nk2iE/WsnXddD1Z4CMQ7VwnX3bw0XeevhBoYF3OMqCg35QBo4DeXFxISLiFCBs30Soh3q9Lq1WS0qlkjs4htO36sae2qiHBqh5AULvBND9p73Sub994LYGtnXb8jtsCPH2Qh43rAhaiwYov66PLq+VL48HfaAOfiM/3wIDG/cWOAXDkj2XeS70ej2ZTqdycXEh0+lUOp2OdDoduWvEbQ3iPsB/vqd/h4BBC6TQC3F4nr9j7mPxqVwuS6FQkL29PadUXF1dOY+eyWSy8my1WpXHjx+7eOXwSF8ul27HzOnpqbTbbWm323J+fp7Silt6FzSZTGQ+n8s333wj/X7fefuBL2I3EBZnGbyAUQrFUwPK2BGFb31oKCgLIJtV/us0UT5fDHEN8ADY0YCOlqdIxwKHtJzlcxcs+cQ8Xm8r528ti1AP5Ifyc1m4TDoeOreFT8/RoB5fv03DyeKbFvkMXJ+c8/Hl0BhddwzqfGNItykDk3zfp+Pqvsyaf1r5s4IkOp2Qrm3ly2M8pF/78mXvav4G2MbgsdaFkT54ARaP9W4Tvfimy67LxjyTPdo1kI33GXTHThZfDHP2gte8Rbf7TYAnLht4pnZkQVtglyl2q5XL5Wv6IXS+4XDo9NqrqzehKjudjvzwww8yGAyC5d3Sh0mXl5fy7bffSqlUkslkIq1WSz777LOV8cFjFWN8MBjIzs6OzGYzKZVKsr+/L5VKRer1ukwmExmNRisHjcbgAutSVlm4KXD1XYGXIYqRlTHPxbZJiH+lLVzEtNX7bs8sdFP5/r4oa19nTZdlExy69vb2nEyCc2q73ZZutyu/+c1v5MWLFx9cO24pju40YA5lsFKpSKPRcKALG9D6eU0+IM9SvHVaaUIklqlb13xKuy9dS+Bb4KImgFVQejnmrAaqAQg3m023PY1PtV8ulyun22vDINQfXDcda5FBXe4fLaBQFx8wrI1zbRxiawzKPhgMpNfrSaFQkEql4kA83qrOW2G53BbQyIsK8AAMlY8NVm4fPbZ9xpI2Ai2jUIPrvpjsPNYtL3udn+5fDa7zd5qiYZUHz3EsQt9zSZKsbA+eTqeyWCxkNpvJYrFwK70IQVSr1e6kpzLGJn4zMaiI/7HEfcELHhbvSeN33Bc8LwCUg7dgrvIuFz4cpVarSaPRkHK57A5fQoglrNa3220ZjUYuBhx40JbuBiVJIp1OR3Z2dlY8KTTgwuOExx8O1ISc4YPmwHexsGt5a962km/JMwtIBB/Hfywssvc25oBe6NP8FPwa80YDZ9Y3fmuwDcAT2tf6ZlmDb+0FP5vNTK9XBrOsQ0U1v7BkR0h3sEBsHyCt5ZSmGEDAd9/q8zTdL5RfmjHueyYWmLR025AMXSeP0LNZ5mVMm8eOf30t7R099ng3CwPEDBTr3Zf8LbJ6bgrPAcxHzBXtYa6f1TxBl5HLpQ8KBWGBjcFk1j1Zvw95pVvlCPVdTPvrRUZ9eKnWwXmXGmJNoz340FSEaMRhn7VaTS4vL+Xo6EhOTk5kPB5vY5d/5LRcLqXT6Ti5hVBxcLgC8ZwSEWcnDwYDt/NRRKRSqbj5Cx00tKtCJJ2fh+w7i2Jkxk3Jks2bziOWNA6QVv9NldOSnZum29Zb7zql2bCh++9iTCJ9yCbEKK/X6862xSL12dmZvHr1SjqdjvT7/W2or4+cPgjAvFwuy8OHD6Xf78twOJTZbHbtkBw8r8kH8GkFjicpG2sa1E0rL9JLAz112ULMXwv2EOl3AXYjDAUbfBwKoVgsSr1evxabCYryYDCQ6XQq5+fnMplMXMgXraSHDBPky2CI9o7B8wwyoAxQin3bxnUfWYA5lOXBYLBirAC8gfcK2gKrivBOx2ojPHR8Y4vHJe5bIIH2AkKf6b72GVA8RlFnfU0/q8EMNj74vy6rLie/Y40BXEN+1iIXG4jsva8NK50v2gFjByEiRqORdDodGY/HLgYhxky1WnUeJKPRSO4aMWB+G8TAVugZ/ka5RFbHBQPlmCcAy0XeeCCjbzCvarWa3Lt3T+7duycHBwdSr9edB/pyuZTz83MZDofy/PlzGQwGcnJyIvP5fMUrfXvS+N2hq6srOT8/vxZ/HDInl8vJdDp18c3BO0Xe8ngAwxznD+FZ4NEsIm5BDAu2VlzANMNqE4psyPDVZyNo3sbhBCADfeCYXnDl9KxQDlxPkVVvdJG3fJrBNR2ywBdCgnUGzpcXQXRsdIBbvjKyXLF+W23N9YjtS5YlMaC0Js0HMcbSgOOsgHdWMN8Chn311O9YslT/jil/muHq03lj0wmB39a8ELEPRLdIg8bQD7UXOXRO/SyIx7UGgDnEAy84hXZUcvlE3uqCPDd1PHT2eoVejx0hSAOx1OE4wDsxbwLexTzP/cbe4ohPjnbTPAYHhMOZBc9qm2A6nTobZzQaORkBsGO5XMoPP/wgL168kOFwuBJTfUsfH11eXsrp6akUCgUZDoeyv78vn3zyidvRxsQ6B+bIfD53zh0A2wuFgtM9EfJF77hYh9bhoe+DPlaQN8TLfHXO2gYs87TcWgcAzsp/7yrF6DwWfncboLlODzLJOuNgMpnIYrGQ6XQqP/zwg/zud7+Tbre73bn0I6A7DZiD5vO5W/W9d++eCyGC+NTYFukD43xkKe+ascUYORaAqK9nYb7acPSVnd/3gQc+oBNlTZJEhsOh5PN5GY/HDqgAs4BRDENgb29P9vb25OHDhysHGuGblVG8o7eqY+WeFV+UFVv9AchDSdEGXpIk1wwP/W0B1pahmCSJTKdTyefzMpvNZGdnR/r9vvNIQFtgpRHffCiRrqcGF6w+FhETeGdvxdAYtcafTsta8NFjAc+kLQJYlDaeQ/XgdPkZBkU4RAO21vLcx64TfbCWiEiz2VwxVHm8Q+n9MVGIrzC/0POI4zrytmmAY5gHaONcLudCssDoaDQaLjQUnsWhj51O51rIHADl+XxearWa7O/vy97enjskckt3g7BQdXJyIoVCQT7//HM3bgBiYFdTuVx23yxX6vW6WxhnQIdDsoCPVioVxxcY3HoXsQLXNWx4IeHy8tLJGMt7nAFmDUbzQjPmGufD77P8wXUsUuCTJIlbsEL5LO9Z7XXK4CHKgNBpkKPaG10fKqrBdC5zSPdCPUJ6T6gvrGdZjobGkAVI++RdLMUCJj6A2NIxNYXK5NORQ8C5vr7OvPPpLtY1q45pQLgeq5bHuPau1uNd68889/TOCnys3Rc8B7nsunxJ8taDnUOk8HO6XEhX795hu4jBdqueWSlmgUPrv9AR0H68sMC6BevbuIZnNfAPWwEABhY4Li8vXTrz+VyGw6E8e/ZMjo+PPzrAb0t+ury8dLtLJ5OJPHjwwIX9szzNRWRlESZJ3oQrnc1mbjxhh+RoNHK7WLXNkoVuMh599iwoxNd999Pys97NIj/fZfvcFvkA8FD7x/DMdfLfFHh8GyD0Tei2yhLSN3gxF05exWJRKpWK7OzsuN1J7XZbBoOBHB0dyfHxsXS7XZlOp7dS3i3dLfogAHPE1z44OJC9vT0XcgECDb81I0sDy0U2L7B8+WthYf230rHKbKVrMWuLsfM1CHkIfW4TvA/lYn9/X6rVqty7d88BH/AkRGxiKBAgBtb4AEA+CE6Xr9fryWQycenB4xZgLteBvWq04a0Jz+M5DWYA6Gcva2ak8FaBJz5iKMIbnf8zMJHmTcTGFId04QUBayyExhK3rfa4sgSjBip8z8YoB9wnDMCGlCVr7LMBeXl56cZDr9eT2Wwm3W7XGUsA1tBP1WpVisWiNJtNJ/BExIX6wLs/RrIUvTQwhReGsGCEk8LxDINquVxOGo2G1Go159nTarXc3B+PxzKZTKTb7Uq/35eXL1/KcDiUdru9sgsEc65Sqcjh4aE8fvxYfvjhh9tvpC1FE3h/u92Wer2+Mtfn87kLeQVgHIulWGzBmBAR5w2ILfXYVg9v6yRJ3LNYnM3lcg5cCoFANzW81lHgmf+xvOL0fLyYFxTQfiKy4onJvBJk7b5iOQZieYqy6ja0vNGxKCkiK962lgHHQDkDZlw3BsRYjuuy6d8WcBgCd9cx1jehI6alHQOYWwC5Ja9DAImvLrHy3bqu+956PwbECd336U76mg5boscu72TUoDTmj56fPB51nHEO1ad1T0v316TnG3u48qIhFgR1vzMoz84tuVzOOQ+Mx+Nru39i+oDLGGpz6x5/c3uxLYDr/Bx23cC2AFjOuw7RJuPxWGazmTsMfDKZuDZEP0AXR0i+V69eycXFRdQu3S19HAQHG+ia+XxeGo3GysKNJpZ7mH+LxcKFDYQtgbFm7fDYpLxIS+um+IVIeIEyhkI4x23STcD/LBQjf267DCHaJGh+FyhmcSFL38e0DevdCC1aq9XcztirqysZjUbu4Ojz83N3ftPWs/zHQx8EYD6bzaTT6TjgDMpUs9mUXC7ngNXxeOwMeChQIqtM3BdixQIL9buaoMzpdFhh1uA058VphxiALjMby2kAGJeHDXgrfQa+8B9G8vn5uezs7MjZ2dlKXEF4V+ODk4NRZ4AfAD/1NnAwqWKx6E41L5fL8sUXX8jV1ZVb1ev1eisr+uzJruNcW+FccA/KOhv73B4+gPvq6sotzsCLjr2N2CjQXjL4ncuthqPhrbrFYvFaf1lb8vlbh05hcFqPL34nzVOAPdx99zRYYYEtXC5c4298YNDBoEWscd65gDBMXJ+dnR3Z399fCd+Qz+fd+MIuBYDq4Avowx8j+XY88HhD6CEoCzBytXediDhDF2Boo9GQUqkkzWbTjX/wj8lk4uK8DQYD6ff7Mp1OV0LnJEni8t7f35f9/X15/PixHBwcyP7+vvzud797xy22pTRaLBbyzTffyGw2k3/9r/+1W1DBogqfK8C7dxD+CodQQ3YA7KjVam5cYFeZ5gPwOAf/4PBeDKSLZA+JcVMjJOZ9nS/zWfBC7c1qeWWyXEMsVl501YAff7i8LD8YrGJw3vLIDXnpQg9gGaSBfA1KWvW1FgF8+laorX1tbv1nvclHlpxMM/r0t5WWfs7XDz7PYe4DC8T1Ab36oz2lQ2CBT7cMUQic10B4aNxZbcKen9yPaBNLrvl2QojIim6pP9xPnGdoAYr/W/XAfGDPbK3PQz/Su210yEpf3/nI0j0t+4HBBr0TRrcjL75D79ULaSAOw7VYLFbsO60nQv+G/YDF2z/96U/y+vVr6XQ6251pP3KCDlqv16VarcpPfvITaTQa155jfoMxCMAMukq1WpVKpSKlUkkWi4UMh0M393Q674N84OLHnvddp02B2yFcakvppPVPyCSEIi6XyyIibuF5Op3Kd999J91uV7799lu3c3Z7ptaPiz4IwByGMA7qQ1xpjm0HgI63c/vCo4C0cRMyunyKIu5xWptiiGllZ8XcZ5howDyUl1b8Rd4C/RzHUeSt93ij0XCeIQx6iKzGhcNiB8ehRWxpAGQA6hBHHUwMB/nwgQu6DUJtzn2XJsytbbMgrg+3OYB/KP0MkjOIbi004DmOz2gZahZIYHniaUBBLxRZ9dJtB0NLj2/LGMe4YgOVFUd+lhdM+FlsHeaDm9DWCMkAUB3th7A4ANfg+SHyJn42PI/gXcIgeS6XW+ENPxYKgRr8KZVKzvjE4Uc83nhsABRtNptSrVbl8PBQyuWy6w+EzOn3+9Lr9eT09FR6vZ70+/2VXSRJkqx4o1UqFdnf35d79+7J48ePnce6jkG5pfdPV1dXcnFxIbVaTUajkezs7DjDEgsm4PdJkjhevlwupVgsSpIkTm4wrxR5syBzdXXlnoe3JUASEK6xlybGKfMs0F0xZkX8+obvPuYJ5CWuibyNq8qe+Qy0MZilwdQ0MBdl0aAtf/ShiKw3aO9/rTPpEDQMoDOgpoFebteQHqBln6U7+PQ8H9ieBniHngm1syarzXVYIg3IhgBz1jUssJiv+XYs6DqgnbIa81xG/Be5vgjP9WbPTl13gMWclm+xwDfetPc4t5tF1pzWIDgD2vo/twOXWfcB5B/4GnvCYlHRcnjwlTl2Ici6phdVMEcZBNdjic86QJhDvIs0mY8DjERoFdSTdwZw/pVKRarVqlSrVbm6upJ2uy1nZ2dO19jSj5fG47Hb3VipVNxuad7tELJ5oLckSbJy8OzOzs7K3LN2uaXNxU3qI5vAH0Su24ghvcWXZ0h23hbFYAKh52Lff9/0sYLmMXMnS921LGS5BdkKr3LYrqVSyS3UDodDGY1Gcnp6KhcXF/Ly5csfJX6wpQ8EMAeVy2VptVoOKB+NRiteyrVaTRqNhty/f98pVpPJRKbTqRNoDAaykq8BaJBlbOA+e7D7thH7jDKmkLARWfXq1XmwMhpKM6YcSI+3q2mDi0EIhMhA+6Ms2qtPe5vprdzYHYBDezh+FMJqfPHFF65M8DLBOwyqWh7QDPTxVn5rtwFvf0V7sVFg9RXSgfc2tvHp9/EM2ovf93kzWaC5Lh8/o70RLSDER2yocnv4YntaALrl3WYZ+9w/7AmFNoDn8t7e3kocMQA92pjCTgSAZRpI0P35YyWMFyzq8MIDFm8whnihA4s8AMcrlYqLSw7gLpfLyWw2cwd38iHBnU5HZrOZTKdTtzAisrrIg/Arn376qezt7clnn30m1WpVGo1GlKfilt4PXV1dSb/fl5OTE/nDH/4gn376qfz1X/+1GzOQwZirAHjgPd3r9WRn5+0BsvDwwGJYPv8mjr3Im8Vy9vyCUsuxROHdjkUb8AM+50AD6DEgdlbygVZZ02a5K/JWH5hMJpLL5WQ0Gq0AVlh0wBxnnsdzWpPPk10bGJBz1g4nLXtDoKeWBbiPBWndBizrWEbqMmt9xAKFkab1rfPlPmM9Kq0fQ3JG65jae5p3SWiAmNtOgzNav0sz/i290dIbrHbzPc/PsN7oK4fWF7ns1pji/5Y8117j/OExzXpbWh00IX8G6K3FDK376nKCR+r2tXYLsFe19k4PjYPQNateeJZ/c1tob3He4cLtybwIOgJ2q/E5P5jz4OMIxzWdTp1Ox3yb7R4429TrdanX685uGI1G0u/35U9/+pM8f/78RxuCb0vXCSF9fvvb30q5XJa//Mu/dOPHpweAD0NXQVxzOHYVCgV3vg7GLC/qvEvalO7yIRF4gparoCw2XxYw9l2TlqMfoi0bwqDWTSc2D5b5cDrBzmiA5ohocH5+LoPBQJ49eyb9fl9ev37tFmu39OOkDwowF3kz+LESxJ6nvBUQHmoaZNnZ2XHPIy1LUbcoxER9E9di2JyPVs6t9LWxYKWbBpbrd9JIA8mWEYH7MLz1VjQAz5YQ43u4BgMBh4fB+5A9TwDoac8VgDC7u7sr21t1mbkt8b5uF0sgaWPBMubxbRl4nK7VxhqMADHozWXRxgwbfD7APIuxxN8WYM5taQEiIvYij55vvnELQ4uBH3gtwcCC0Qgv8uFw6BbGdPtbAIDOdx0QK9SGd5UAoiFOKABzxCfn8Ea8IAivYRzgWa1W3WJWoVBwBgW2r52fn8t4PJazszOZTqfS7/dX4h8jXcxrLHjWajU5PDyUVqvlFkuKxaIDjO56+/5YCXPx9PRU6vW6JEniQHCRN/wOsleDtthpBCBd8xMGfuGRDo9z8HKkZ8kb5hkMHDO/tugmYy30rsX7+J0YsEvLmXz+TTxVLCgCwOI6W0aEliMaDIeXuogdrszHUy1wUwOKWq7wf+St21Ln4wPI9X/9QVo+2aC/dRks2W49m9Ymum20NzKAF+1FbsnXUF9ofStUZt3Hur2YfDoGfscsdKbp4dZYxX/tHYqPFYLI8pS3+j5UFq3f6F1zOlyMZVxb+hyPS9zj8WEtpLAzgI+npFHamNVl5LblQ8C1zsmOD6xvwEZjHQPe5DiTBodFYzHU2i0MvYG9ArHzeHd31y3cdzod6fV6W71hS44wLxHmp9/vi4is2ByYfzwPc7mcc86CbIUjD3Z+QKdhniCSrkvc1Ga/Ca3LO+4axbTXXeADH0t7r0u3Xf9Q2qwfsBMYQoTlcjm38NVut6Xb7crp6akLIboFy3/c9EEB5p1ORwaDgXz22Wfys5/9TKrVqoiInJ6eymQykYuLC3eKLQgAD5Q0eDgOBgO3zU8bZj7Dg0mDm3jfMmIsw5yNEDYSOV/tGWv9TjNIQgKblWUfqIrrvP3RVx423vWhYlwG3hXAbcaGKE4nh/fcs2fPXOy4crnsDmTY29tbiZUoct3QtgxUGB7wXtHPseGjjXsNvnDbpXn7+wxV6xm9hZSNa1+/WWOYx2qor31kGay6bfWuAeTDBqqOW8mxsjlMDRRTzM9+vy+vXr1ygkxvxWbiBQ0uB7cJQCCOG8/1s+rOdQ61H57hrdZ3hQqFgnz++efuYC2RtwYrDAERceA5tqweHh46z3IsZsDbrd1uy3A4dKvxODEc8d3YaBBZ5XsYG3t7e1KtVuXnP/+5NBoN+eSTTxxQniSJC6cDA3pLd5PG47H87ne/k9lsJn/1V38l1WpVarWaO2ukWq3KdDp1uw0mk8kK/0AopeFw6MYZvMwbjYY7iIfDXpXL5RUDmOOlI9atiLj8Qfw8h3DjRcE0MClE2tDOAspnzY/1BdQL3ufau1qHPeHD9cDX2APf4uUMRvrCdaTtuMNvzavxm+WstTNJy2MrXrPVTtwWFnCpAT+rXj7dT/9nWWCB4jqsiNZRdDo6H62b6W8mXgzBWEE76vTwG996kcFXb5+OGvpv6ZN60V87BLCXuF4w8YHgMfqO7jPdTwxU63jhmCO82M96KY8ZXvBn2avHg6XHWu0eW78Q+foBc5x3rGgdF3XjRXj2Juf+Q3vCDsOuo9Fo5HQKPSd0fyJthIGDDYDwXfP5XL766it5/vy5HB8fb4GOLXlpuVzKn//8Z7ebtdVqyS9/+ctr9hJ+czxz6CuFQsGd2bO/vy/z+dzZrhjn1i6aLLSOLpLlHV3Pdcp21ym2Xpa9u+n8fXLzx0Kar29qIUPLJZ0P5HO9XpdisSitVktE3h4QPJ1O5YcffpCTkxN5+vSpdDodJ+u3MmRLHxRgDmUIYOrBwYEUi0Xn3ZYkicxms5VY1/ogGfyGMgchqGNvMtPUBq/F4HwT3scQsjBJVhYtJu4zyG8ioDVzD+Wt30urWwxgi7wAeMznc+c9x6v48EBkr7KY+rLxZTFuvZWWQXU9RrS3Fxu92oCzDGu94MD3dNvrfHR7+YR8DGAeMi594LMGSLQ3Ghu9HIeWQRu0MYOhiFsPpROGFQ7u1G1sbau2yqvrGzsP8WxMmryYcteIDVgRWekf9A0ObWy1Wi5EBrxucMDYbDaT8XgsvV5PBoOBXFxcyGg0cguR0+l0xeDVQDkWTgqFguzv70u9Xpe9vT2p1+surinPPXgfb5WWu0uXl5cyHA6l1+tJp9ORXC4n9Xp9ZftjLvcmbE8+n3egEYNOGpzCggk81EXEAeXMv+GBjkVY9jrHb80jefcSyuOLgXwTg/JdEteTwVTenYO6oq3YE53f8ckj/NbE/DcGSOXf/DzKZoHlKJsG1fR9X/mRvi63roPliSxyHTAP6V3aG5k96bW3uA9QidGnNMhu1S/NiQDPWQ4Y3K4h3TdGr9C/LYDb2iWgAXPdR9YiiK+cMeNa74TQALrPw9/KXy9k4H32TteAecxcWwc8C93j/uc+0GcI6LnB/B1gNt5BuryoicXRxWIho9HILYjzjmGrbshbh+7ic5NwBk673ZbT09PtFvotpRJ2KIOvdDodF9LNt/MDcxThw7CzFXoydm2KyLVwsLHk46W3pX+E0rXwC8v2X4fehV61ibTTMBzf/bS8Y2T8x0hp9c7aJpZuyXobL+rCKSyXyzn8EM555+fncn5+Lv1+352buKUtiXxggDno2bNn0u12pdVqSbPZdPGt4aEwGAxkMBhIp9ORbrcrvV7PxTgGo+dDJa+urlzsvMFg4MA6vRUQpA09NjZxPw2g00a8lbb26tEMJg1o1elZZbfISksbJJaBwf+tNmDjXVMI4OX3R6ORjEYj6XQ67j7KxvFaobQwMAuFnw0A3NP/+VltIKBNAPZgzAwGg5VDieBJj/pYhh3XV3vUhIwx/uBdC6jV4xdlB3DC+XBZddnwjm4PtBuMJT6IVyubmE/w/MQ3jKbxeHyt/axxYgEWemzqhQZd/5CygzHF7acFsAUI8fddBNUwf8AHC4WC8wJutVqyv78vzWbTrb4DUEOYle+//16Gw6GcnZ3JeDx24x4x+3VbMTDP4xWHch0eHkqj0ZDPP/9cms2m7O3tuTmH8QFAgWOZbuluEmJ8Hh0dyR/+8Af5+c9/Lvfv33e8AweyVSoVWSwWcnFxIdPpVHq93gpAjrQAoORyORkOh5LL5RyfQaxajFXeGl0ul1fAd4xRBmfAQwDi44NxjIOHtXeJj69YFOIV74qQt97t4gOJWTbCqcDSd1iOXF5eej2vYwBSXR7oB+A/VnoaUNQgv88r3eelLmLvTNPtiG+9k4nLp6/HpId6aZCd247f1XXXALg2FNkbmttYlwd6Afcjl4XLqhfHrQ/GBXQxvdPBFzoHZbR0pdAcCgHhPDZ4POgFjbR+h76oSZeVF3qxm9HaTZBGvvpirGXlM5YNgf7g3X/oJ04bOh/retghyPo32hP1h/0FHjyZTFYA8phFLBxGjp1vrVbLPce233A4lK+++kq+/vprmUwmqe27pS1dXV25sXNyciL379+XX/ziF05XBWn5j11qi8VCCoWCTKdTp+dgh2S/33c76qCTWHRTwFmn8y6A2Lto52Slu1oHq//W7c+7Csr7cKqbkIWVACjnM9FgDw8GAzk6OpLj42N5+fKli2SxXWjdkqYPEjAfj8eSz+fl1atXMpvNpNVqOcUtSRK3sguDuFareQ/jYCMKcXrhtc4HlHFYDq2gauXOYsDWMz5g21KAY5l66LmQ4s3v+oxU3/sWsGsB85Zg1wZeTB76XQDFOh1c14eYaRBdf2uDThtzVt0QNoC9JnmrP3tRWu3FQLllJOr8uK7aQ80HhvB7XEc2mmAQ6XeRvrUdF5+rqyuZTqeSz+dlNptd6yeOVwlPIN6eq72MeAHAahNrTFjfur3S6CZKyV2mfD6/clAnQlwg/ifzPt4e3ev1ZDqdytnZmUwmExd2ZTweX/OKs9oOYwhgJhY6Dw8PpV6vu0NEAUIhHn2323VjGyFZtgbw3aYkSWQ0Gsn3338vtVpNvvjiC6lUKk42MwhTq9VWwvtgV4L27hZ5G8YLYxK/scNoPp+bYQM4BFSSJO6sC+0pqhcr2aOSPc/TPIKzttUmyOKLrIf4dBItLzSv5vYQWd1FpEFRvSCc9m2B5mn10te53LoO7JCggVLW/fQzFsBq/ec2TANZY4FRXbdYvVIvHms9iOU3z0F88zjQ+gLXSfebPuTR6l8NkOsxpONe6/FmjYG0ttbfuo8sT39rfFjv+srB7a3Hmz6gM5RmFt1jHf6j+0bv0OEwMr4FDYRxwuIl3uV2xWIBDvOERzmcJHgh0ld+5sW8jR474NDWvBPg5OREjo6OpN1uy2g02oIeW4omnrej0UjOzs6cQwlCw3EMfp5/0Emm06mIiONtvPAMXsAHlL8LsuzVm9JN0onFG+6SPbVOWWJszhCW9LGST5fJ8n7oHn+gx+OsLsxfyKKXL19Kv9+X4+Nj6XQ60u/3HQ6xpS1p+iAB836/L4PBQH79619LtVqVhw8fSq1Wk08++UTq9brcv39fqtWqPHr0yCllOBkb3pHHx8fuMDoIrmKxKAcHB065RziIXq+3Eg6CSRtqIrb3EU9irYiHDEdLsbYEjn7XAhh9zBnfzCS4LpyWD6TUhp42HETEKdY+Q0Tnw/XTXvz6eZ0u6sPvcpmtOllCi40F9kLH4gri15XLZXnw4IGLpYiwFYPBQCaTiRtDAHm4fdmjig1L3U4cWxbvwAgDaWCcD2hiIQLhwQfkQrHDs2zU6nbEIhK2G2JBajAYOKUQ3z6QyQJsNAijCc9qb2ZtRKcpK6H72mi3yupLU9ftLtHu7q785Cc/kf39fXnw4IHb1ox+xpg9Pz9f8SS/uLhwMRl54VDPIya+hjHVbDbl3r178vjxY3n06JG0Wq2VLdVYPHn9+rX0ej15/vy5a8fRaCTD4XDlfIot3U1qt9vyv/7X/5LFYiGffPKJPH78WB48eCAib+YG+A8WZ4rFokwmEzk/P19ZWGTCNSzEcYxupFepVKRSqUi9XpdyuSzlctktpOdyOanVaishELCrDB/eUYZ3GDBnAIhjnmsDwCevb4N02pYsSwP7GEhE+4iI246aZqCIvPVQ5djo7LGqgTgfYK4NHl89Q/fSyNIVfACrBj8twNMCQn3vgnz5MaCs+83y9LaAZr6ny4B7AEJZL/Dphxrctv77nAo4Df5vgc26bTRZemOo3X3vcJswkM0HaybJ9Tj5FsDjm1usX2TRBUJ6xk3T4fGChUUNemubgnft4FwR6L9cPyxqYycP7CXerat1VR9pQL9er0upVJJ79+5JqVSSSqUiIqtnNoA///73v5ff/OY38uLFCxkOh9HttaUtMfV6Pen3+w4wf/TokRwcHLiD7kGYL3wewXQ6ldFoJPV63e2oA3C+WCzcjjqEc+F0Pja6DbD+XdO7LDf4rubDHzutW0/f+IIeAmcdzFvI+X6/L6enp/I//+f/dCFFdRpb2pKmDxIwF3kzsOHhuLOz42LnlstlOTs7cwdDwpMSYOT+/r7zstQAHyvPy+XSGRT1el0uLy+lWq06xYy3a/sOnGIm4FOeLcApZExYFFLMY4wRn3LtA8R8zM0CvC1wWhswVtq+dtL3LIap32XgNWTI+IwUKPnod8TFxdhDfPVer+fAG6ZisSj7+/umR432yGKDVIMeuk3hOaa9x6y0GEjX3n4i4haVdL214Y97PPZhLAGEYlDKd4Cc1d4WQG71k3XPGjN6XKcBR75rvvGoSffZXSPwv/39fdnZ2ZHFYiHtdtsdsIqDjLrdrkwmk5WDkXWsaZH0OrJX+d7enuzt7cnDhw9dzHLwZRi8nU7HeScPBgM5PT114wVnV2wP/fwwKEkSubi4kC+//FKSJJFqterAGQYGc7k3IXp2dnYc/8C2fR94jvQtEIy3RzNgDoMVfJEPGUZMQ+vwT73oigVG3ANgw3qAVdbb5gebUPR9stfHR1lH0PwdHncIqQNAjmWPz/vcil2N/HyyA6Tv+4B1HwCvdQgGZvk7DZC17umxrJ+z2jztubT2scpltXWoPTVwrkFwS4fxyUdNvnbTbcDP8jt6IUN/a+9xrc+Evn19Z/WNbnOr/FloE/OZ2xuLWdBPrZCDekclH2DK74DP6h2DAMyx+MhAeVr8Zi4r8gFI32g0pFQqOX4NxyXoDQDpEU7j4uJC5vP5jdtvSz9uSpLEhS88Pz93C0DValWazabbYaMXjuB4xjvmeAG5Xq87fAE2Et7fBPl4+abSj80/xma6aZrvk96nrZc177tmj26iPBZ+AJ2mWCy6xVWEF1ssFnJyciLD4dA5ZWH39F0aV1u6u/TBAuYi4gCeyWTiQrTAQK7X69JqteTg4ED29vbkwYMH0mg05N69eysH2MGLvNvtSr/fl4uLi5V45zC8YRxiu9ZisZDhcOjAJh3/UBvJFsO3AGptFDHYifdDIF+IEfkEGHt9MCgdAvOt+/jPIW80MMvAqy4Lt7FuA8sQ9JVN/+c4jD6jRpfRSksDOKPR6FqZYGQg9t3BwYE0Gg3Z3993Xj0+o1+3jWWo6nfYe5vf5XiS/BwDQgCIYNCMx2Nn+HDIFN4+i76BscKHyaGsmqwxzd8Ao7Q3N/dPLGkwx5dGrFLJc4Hfs0AI6/5dop2dHXnw4IG0Wi13yMnp6akMh0N31sNgMHCGr14IjAGr+Bnswmg2m/LZZ5/J4eGhPHnyxHmq4Vl4+P7www/S7XZd7NHBYHCN/+lYzFu6u3R6eir/5//8H+cdCOADfBJ8DVuey+WyDIdDyefzMh6PZTwep4Y+AU/C2QcMxgKgh3dJs9l04DiU6kql4oC1q6urlR0ziM2Pe7wLB3H2wTf1gbQx85/nkY/vpNGm+UyoHJZM9OktPh2G+4e90tkLHW0cG8aF+ZMGj0MArn5H12ud9rLK5msX63cacG/lwzqMdd0qF/5naReL1tE7Q0C0dZ3T8AHZ7C0O/YT1HSukEsi3a9RX9lA91wEC9Fz32Qi+d/V7FpAAAJo9tKG3JUnintFxyXkHAtoai5nge1hY13HJY3mTnrPYfdRqtaRarUqr1XJevZeXlysHiyO/09NTOTk5kefPn8vp6WlUvlvaUhpBB8Buhel0Kq1Wy3mNi1y3OfgAXziElEolFzoWnubQW5gvgbLOnZtQrK4Rm5b1+33ROnrUuuW28lqnXbO8s67M2RSFZOVt56f/Q4YVCgWp1Wou3CjOFphOp/Ltt9/K6emp/PGPf9wuqm4pM33QgLle0c3lciuxkBFOpVQqycuXL6VSqUir1ZJSqbRiPOdyOef1eHBw4EJnADjqdrsym80coAjjuV6vr5QFoCq8LrB6bIWkQHlZEQ391/lwGvzNlIWRpjE+y6DTzNoHcvM9H1P1AZBpZbWu63L4AHrfu7r99fMhpo3fWERZLBbS6XSchwF7dOlFBP620tUeXVaMTx+grj2tRN5uaWUAncEj9g7XbYNyaG94UAgM4Os+o9hKx1dHnVaob7MY9hos0v2hxwjfuwvKoqb5fC5//vOfpVwuO2Ccw03xwZpWmB8Qzwnd5vAOg7Ly+PFjaTab8vjxYxcjHV5qWKw8OjqSfr8vL168kNFo5PgsnksbD1u6mzSdTqXdbsvr16/lu+++k8PDQ6lWqw6MwQfGJw7zBLhTLpfduGQQJg20Ao/DjoSrqzeHFY9GIwcGIRwBxzUEWIuFzaurKxfGxQLgRN6Me3ixYO7As8ySkWkUkjPrGl834UVpeWrQ3KePcOgaBgigs7E8s77TvNB94HoIYA/pGj7APUYfsAB8/Wxsv2TRi2LKE3rOyk//tp7hPrWe98lDnqs8r33e4VqP1vf4XZ+3OJfXRzeRN1n6yZdHCOTx3bPGIxagsHCIbw7DpxetmBeKrB6+DOcgDrfHu3M1j47V5TFvUUaEwYC+kMvl3A642Wwm3W7XebBjnBwfH8u3334rvV4vut23tKWshN2X4/FYSqWSHBwcuB2UmreD98ABSURWMIdms7kS3x/zKI0/bcq2YHms0+VrsTaYfjeUb4hC+EMWWlfvyko30bGyti0/47NN3xVZ+kRIbt0k7RDxWQHFYtGFyi0Wi+48rJcvX0qv15OnT5+6qBJb2lJW+uABc1aWESYDW7sHg4F7FqFZ9vf3XXzzWq0mDx8+lEqlIs1mc8VzbLlcSr/fd97mUBoBIrI3RqFQcOXQh9wAvIfHujYqNegEQasBVf7WFMtc0oSfBTizQYw2DpUlTQBbYLRlgPnqxO9aeVkgnvXfZ0ineb9zG/B9TTAshsPhSv4a9BaRldAmFmDO+eZy9gFNems10gFwr0MLsEKHPHT8VH7W1+YWoBBS+KwxwX2Spizq9/DfNw58fe0rh3U/VA/rXSv+7F2g5XIp3333neTzeel2u44/6R0hMcCKfg7/sYW70WhIo9GQn/zkJ9JoNOT+/fturGJsDYdDGQwG8sMPP0in05Hj42O3jZvTtECPLd19wgLM6empvHz5UhaLhTvgFeNkd3dXLi8vr8UcB5ANYh5m8XgmjC+EBYHnOUAhbO+HZzsAbz6/AYeUIh3UBQA+0s7lcs4A3t3ddcBSLvcWCGYetCmDQr8XAwDGAqnrpJMmuy0ezWem+MpgxcfmGOk6drpekLbS1SCrlg/8rg+QD5HWM3z8M4bWNYotXSctXy2PfXqnBkUtIFvnF9p5pvV4jiXOupH+5rytcup6aZnvmw+bIKsNNkVajw/JYnjbwbOVvfD44E4+t0bk+s4dgIQ4eBt8TjsBhdrC0it4nuEQ8kaj4XYFIeThcrmUXq8nk8lEOp3OtTFwenrqQrltaUu3RYPBQAaDgZyfn0uhUJCf/vSn0mw2pdVqXQOZ8R9x/JMkcfMO8xLhPYETwOEuBD6uQzqtrLLkNsuSlnfWd26brPaIWeDY9CLIpvvlfea1bv1zuZxztkG88kaj4e6NRiM5Pz+XP//5z3J2dibn5+fbsJ5bWps+aMAcBG9E3uYvsqqoYbv1xcWFdLtdabfb7uT1UqkkjUbDhQ9gI7rVaskvf/lLWS6XMhwOXUzfxWLhwHT2goMShxhKrVbLlQWAOh8ehv8WKOQDEH2xni3KYmiFDA5LKfeRzxDxAc4ahLcEjAWw8/saAA6V0QJVLcDVqoMWHBYgqw9PZZAHILS1DRjGvyZfu2hg0XpPjx8dh9QiDdDrOcVpas/BGHDVuq/zTat72lgMgRU+A5rrnHXOaRBv00byJujy8lJOT0/dNlGeL1y/NMBcjycRcV658CL+/PPPpVaryYMHDxy4lSRvFnAQ/urly5fS6XTk9PTUHcqsDxTVc21LHx69fv1aZrOZ/NVf/ZUkyZst/Vj0g+d3qVSS8XjswqnBWwSe27zLiz28Y8AajCMOP4VY6QCL4G0O0J4P6srn8y6ebqVScWnwWSaXl5cOyMVhphzaSo/pTRiCIflmpWvNKb4eakPrfwgIXheM18Se6MxXZ7PZSgiS0CfGK53LgfHFvAiymXdDcBnxngVwWzqFBc5z/W5ThvA48AHfevdZGh/mtkaoApHVg9f5OxRbnHUL/vY9Z+l8IZDcei+mzXR6myJr/vn+W98WCI5dOnwdMhrymMcYbBB4jYN36Xjkvh2zaXq3DywHv2w0Gu5wNiyWIk949fb7/WtAfb/fl6OjI3nx4sU2dvmW3ildXl7K0dGRdDodGY/HUq1W5fDwUEqlkpTLZfcc5BfveMPZaHC8g+7BB+XyotBtkdZHRPzyPoZuq6x3CTjfdBluIlPepZ0ZA5rfZnm0TgR5BnuhXq/LfD6X8/NzOT09laOjIzk7O3PhRiHbtrSldemjAMx9MQh5cuEZbBvs9/uSy+XcFux6vS6NRkMODw+l2WxKs9mUg4MDKZVKsre3J/l8XlqtljPesd0cXhfIAwyFlVf22mAPdHh3isiKcPQJB8vg8j1jXfcptWmAJ57xAfi+59Pu6fxCxkwItPPlF8O8felwGUMLCbpNuR19+fsMTl+ZfeCHz4j1GetpRphue74fystXRs7HErZWn6Y9GyOwNQjM9UkrL7dTaD6E3rfqdhfo6urN+QsAjphi2peVa/0BwAne+eDBA6lWq1Kv1917ACr7/b6cnZ3JycmJtNttZwhr42CdmI5bunvU7/dlNpvJT37yE2m1Ws4jGGMHu3FE3vQ5PMwBVuMgz3w+70AUDZqFSIOY8JwUeevBDE/LWq3mPNvZixnyvFgsunwBlHMMczwDLzE2fFm+ax5r8agQZQG4Y+6tM798AHzMeyJxPFJ7gYMsIJTv8Qf8Dl7o/K37gkNQ4Df6lT+aT1le1hYorssfCiVjPR9qT02+vtFlt8Byfah3SG4yaItDfRmI5cO/tZe4L2SKVd4QqMP1jW2rGB3SeidWtmfVAdLmEo8JPb45xFS1WnU7dfSuDHiaoy7oA4DhcALCGQ7s+ZqF34b0X9zjBUaEcKvVau455D8YDGQ8HstoNFpZxEqSRMbjsZyenkqn05HJZJKlube0pRsRdkni0EA424m8DYfEc4B3nMHJDzvrMBcwrkOhWW6qC6fJUt9zvmtp+fh0nRgKYQS6PLdtI6yDuXxs9K7rZOlAkB/a2WV3d1cmk4n0ej15/fq1fPPNN9LpdNz5A1va0k3powDMRd4wq+l06hRCn0GljREo9IiNd3R05DwcsGW71Wq5OGXwGq/X6/Lo0SOncGKrIgToYDBw4BC2NSZJshK3FfFaIRyhrCKGL7ZxWcaTZs4aHLSALRZcFvhtAag6bzzPYXCs+xZoq/uLv0MGMJMOV8PXuS24Dlab6He4PSwDKVSHkCKgx5tOL9QOXB/9bEhwWelr0nXHs2zsc1/zPSv/tP+a0saHr+whI8z3vp77vrA7nB+HDgnlm8/nry10+cp+F4jjATNp3sBk8R4Y6tgG9+jRI2m1WvLkyROp1WrOe0ZE3K6cTqfjVv3Pz89dTFLekSGy6lGoy8dlt+oQmoO+sZsFfN1SdgLIfXx8LLlcTr744gup1+uuveG1iMM2B4OBC+mDg+ru3bsny+VSKpXKShxbAN9p8sT6LfKWt00mE8nlcu4A8Xa77TzLAUIVi0Xngc6gKwxdffYDQCjsJONzUQCkawCIy74OoOejdYzVdSikM/ieTXuOn/WBqaF5D6ACYfEsXZBBXwCQrEdinEAv6/V6DuRgoFini//6W9db80BOK00OhsY3t4+l2/jGGHvRW3oh+oO98TmetdYZNE/Xepmv7rquVv01cXpafqfpThbdNkhgjUl9j0FvOOIAbMaHPck5DjkI/YAdsgCk8c3959v1GqoD8sB3COzADt79/X0plUorC+s4x6TX68l4PHaHibLednV1JZPJRNrttvzwww/bUCxbem90eXkpvV5PRqORXFxcOEeRg4MDaTabUqvV3EK7yFt9B4vtk8nEHcZbqVSkWq2uLFxBj9iE7I7lZT6dP+a9m/DYTeknFu8B3ZYO5JPVvmffdZ6x6YlsdlEmlFYajsHfsP2wIwOhV0ajkZyenso333wjvV5PTk9PHR639Sjf0ibpowLM4dWF/zGKNpTIJEkcQA1lczgcSrFYlMlkIuVyWS4vL6VarboYqFBa4VWGbdvT6dQZ3zDSIPDYYw2GNxsVOzs77nRtkbexW1FW/rbqoxloiAH6gGSdnk4zlH8MZWXGvnKlKeehPH1GqC8eZpY6W8pGGjEgkCV9fS0GnNDAIedtAU/rCM+YcZeFsihhaWXWZfO1e2hO8H39PybO7fsgHxhugYwhYh5WqVSkXq/L/v6+7O3tyd7engMVRd56ifX7fel0OnJ2dibtdlt6vZ7z4gSlgTkhUD9Lvd+VAr2lNwTZPBwOXWgVhLbQoBp+A7Djw+h2d3elWq3Kzs6OA7ZjYhiH+IHmdxiP8/lc8vm8LBYLKRQKcnV1JcVi0X1jUR0Aq4i4+uAbzwNknc1mLiYvn5XC8dk1QPUujWQ8e1OjL6vBHJtfCBj2PRsjt9nLG/qYdS4I14vj6SMNztvK1/ed1t83aR/+1gvFFljOnu56cdIHgCItgObWbqG0+ZeFsuhUaemsWwYrndh8rfcsnYL7AAt0xWLReY8jZBV72PGCuOat4DfgRQgnyZ7k2IHr27UbU6cQHwa/xEIoDmjDIctYVARoDuchHZYHi6vD4dCFytzSlt4HYTwihBEWx/lcjSRJ3I4mOONgnmGuY5GWF2txHopvh1os3dQeyapDvI+yZF0MCPGp0P1Yiln43QTFjgerXu/STo1dcNH/cU0fUI050e/35eLiQl6+fOl+b2lLt0EfDWAuIg4wRzxRDaoyWaCmZmyz2czFOs3lcvL8+fOVeKY4wAwe5/V6XZrNpuzv78snn3zigPLLy0sZjUYunAu8JxCXD8YXBOXjx4/dAaaInY5yQDCDYNTpeI8c31MLZl1PX3zmkEGnYyD6mLBlNGnjiwHcLAC9BZqjLdLStMrE9fQZiiEwQL8bMmD1ez7wlvvWagNNvrbXZfC1ly6/BtOh8IWI2zs0PvQ9beTp+uhdBLhm9W/o4E3c43c0yK1/s5c/nuUFMxiz8P4aj8fy9OlT05v9LlFoflo8EV5u9Xpd9vb25NGjR/LgwQN3mDKMAsRDPT4+lk6nI0+fPnWAKQOFFm8JzSOrrNZ/XAvxfTxz1/voY6GXL1/K6emp7O3tyXK5lMPDwxXPXBFxiyiQla1WSyqVykp4NIRtgYchACAGz0VuZvBweAoAOACjeCtosVh03uf6AD0A6czT4CmJesILBsAQvClxX4fD8M3X0LVY2qTxpHnHuzLSLOM0bfEBiyTQ13K5nIzH4xWgEjsN4NXUbDZlsVishK4A2IFr2mtclydU/rR+TAPWffezggqWvqh1pVAccp8+sg7oo8t3E2Dad993PUYm8XtcPp/+ieusSwMMwFjCAcmIRw4dg8FxDZCDb4C3ABTHtxUmSi86punLWdqO51Gz2ZRSqSQHBweOZ15dXbmQK4hXzkC5HlMib8J8/cM//IN0u10ZjUY3Bre2tKVNERajhsOh7OzsOJzgk08+ceek8c5UnN8zGo2cQx475uHAW+xUt/TVTY3/2wR170I5suQRy+uzvrMOZS1LljKv80xaeSzbMUt+/C4cZ2q1mpRKJec9/pvf/EY6nY68fv16xQbY0pZuiz4qwFzkraeLSDoQrK9ZYAqUySRJ3GrvfD6XQqEgi8VCKpWK84rAoQLVatV5WfJhUQAH+CAxCER4ledyORdDFdfY4xwePHqLogX8rCt0QoYVA2lpxodPufYZ0uuU07qWlqZlvFvv+Oqo381KPiDZesYHIobKnJauVY4YsoznUL5W/8YsOOj0LcDFB8LECmoex2mGIcAvGLcQ4OzZBaAcXrB8KNxdJN0PofZjwx4AIRYG9/b2XOgMeOICCByPx9Jut6XT6bgFQj4AUYPlt2H0hsbAbeW5JZvgedrv96VSqcje3t7KAYEMwAEswSGflUpFkiSRSqXiFqtExHmcJ0mysnVZz21LtlvX+R5+YwEIz2IhG8B3kiQu7Az4AkAtBsQ4TAI8KnO5nFvoR1xTyHjoBb4Y2dZi0yaMwE2QTz7cJL2YMmeVafpd/kaeHO8csfT5Ho818D/0Haen89H1uyn58vGBtaE0LBmg37XGXxZ57ytPFv3NV279+6bkG38hHVh/60NqwQ9gI/CuGvYk1zxFh1XjcEHWYpz+9nmRb7KtQCgnduQghBvqg/IiNAXOdoKsELnOj7FAhTAYW5BkS3eJwBex6wHnsAD0BgiIxS/WgXCWCzAAyB6chcbyBXmJvDu5vg5tGiy/KW6QlWJ1mZC+ucn8Y8qURZ6G8k2TeWn687qLDiwfIUOAseFMi7OzM+n1etLr9bzOCVva0ibpbqM6axDiggG8YmDMRxoYhcDT22zxjZiNk8nEXYfCC0UXoQnu378vlUpF9vf3pVwuy4MHD1bingIUmM/n7nA09prL5XLuoLSdnR0XexCHjcKbaTwee+vJRjuMf5QZ97neXCcNKiENHyPU1y1wPcREtfKr43fzc9og0Uab9rL3MWadL7eXzjtNQHDZrHaygBvfc3rXgPZY1HXh93Uf6/qhTTgUgLXApOuRRpbnN5eLyRdflPvVGnsx5bPS8KXv61OMA4DhlUpFms2mVKtVB4pz2AjEKmw2m/L69Wv5/e9/f+eMOe57viay2j7a6MUKf7PZlE8//VT29/fl0aNHLjwF0oTB+/TpU+n3+/L8+XN3tgMDfshPxI5ZzuXhcoZAIb4WszBz1/rmx0BXV1fy/fffS6/Xc+NH5PoCIYDifr8vw+HQxfm8f/++lMtlqdfrUi6XpVaruR1bo9HIyUMdEkLTOkYXnocMhnHb7XZXgC+AXPA8R9gB6CTYpSEirv57e3srugXy4PAJVpxhvKONNQv05zqEduBYfDGLIbhJY3Ed8i0Ghp73/eY+EXnj2cp6HuuZ6CuA5VpOWzI7BDTr62ngbKjevjERC2hbeqCvXmll1WWKBSRiQP/bACys/KwDxfk56z+fe8AL7NixynHINTDOchtjUp+PgMOHeZdKWkhHTVyf0PhMayN8o057e3tOf2CHoHa7LePxWC4uLlbOevLx78vLS7m4uJDT01M5Ozvbxqjd0p0nhBfqdrsOG6jVavKTn/xEKpWKNBqNlXMgYNsXCgVptVpSKBTk4ODAhbWDNzrLpVi+l8ZDs+hEMbZw1mdj+Xaa/hYD1Ka9qykk/zTfS3vHesaHDcSULUS+NGLkaVp+Plsyazp4Bh84Z1UqFSfjvv32Wzk6OpLj4+OVA6C3dtyW3hV9dIA5CAZlWjzhWIGhlXsGl/EBIATDGadnl0olGY1GUiqVZDAYuHjnWF3G+zC0c7mc25auGQKYR7lclvl8LtVq1cUi5FAHOjYqg1KW8cTfWkG32sK6p9uGn9XkU8S14e8jS0D5hJa+pgFUvm4BhlnBFd/OBgu48FFICPnKH8rTAo6ZLIA5JPzSyh96N0YI67xCQIBVl9g5j77S3l44OAvACLZI1uv1a+cX4BtzGl7n7xs4ClEsoME7YQ4PD6XZbMrBwYE0Gg3nJZbL5RxQdHFxIaPRSM7OzpyhMJ/Pr3nHiviBKqYQsK+fC7V3aGFkS++OsKiyu7srnU5Hrq6uXJgLDeIxcAJZiAPr9OGMtVrN5QEPRfY2R95MWceDHou88IIP+Am8J7ETDQf08dklHCdbx47WHqe8PRshFQCIwWOUZT1/++aNz9jJaqjFAq6+Z9PA19D1UH6b5L+8GwBp84JvLpdb2RWQBpb7rmmKrUNWYBPPpvVz1v6I1ZV8YPmmKAZQCemvWfIRWXXOYM84S6fgc4/Ym5zDu1lhVpJk1YscvIAX8HwHCq9DMe9Zfcihq+BRjl23mDcctgJxnzkEi5UPwmOdnp5Ku9129dvSlu46YfzyrrmzszO3Qx2yHro2ZDrOFuAFKJG3u9xYt0Y+IYq1vdYBcbPy85vy/lgQdhN5hOrG9maajpnFvg7hGZugTbVfmg6RBSznhWiELMZu5ZOTExfSeHtmxZbeB320gDm2ICLOqCbNtFg51c+ANPO03oXw6nQ6kiSJHB8fu2d2dnbc6fDValUajYY0Gg0HQLVaLWk2m/LZZ5+tHPrJHiT4jXzgdQaQAIeq9fv9FSAdAjhJkhVlHPXBJ5fLuXASqB8rsT7gUretbiPrPqejQXZNWZgu5xMiq691bHa+51s84Of4kBde6EAbspd4Wr3SAEBfGXT61m/r/ZCg06A7yPJg53dD+fAzerHCB07p/KzxqI1NX7nZoAUAXqlUpFgsyt7e3kqszXq9vgJwiYgDvwAco8/vckzNENChCeD/vXv3pNFoyM9//nOp1WpycHDg2g5t3Ov1ZDAYyNdffy3dbldOT08dn2L+og/v4jJZO3rwW/MIa/7Ezgmd/5beLSE8z7fffiuHh4fyz/7ZP3Myh/uKDQfsXECsaBwcenh46ORpvV6XyWQinU7HHRhneWFtmnhMA8gWERkMBs4I4MPuCoWC8z6v1WrOUNbgGkjrFgBlsUgF2Q9dgIFbjoOu+aDPCIwFPdehGLl3mxSSR2kGP/cDYp2PRiOXRpqekAXUXqd9fOnH6GzvktLK4Gu/rAs6aQB4CLAIXbP0IgaJeZHLCquCkIxYVLcAF14o5HAq8CLHXGcZmxU0s8bJOosG+n3oU/Ao58X12WzmQG+EVWGeqfPlMT2dTqXb7co//uM/ymAw2HoWbumDoyRJZDAYyGAwkPPzcymVSm7Xaq1Wk0ePHsnh4aFbUFoul1IoFGS5XDp9oVwuS6VScTvMsWjGu643Jb/TbEKu17uSLRaIH/NsVjmgn0mz/9PKFrKzLTwqC1lpxOBXMfqgL80sZUxLFzZ7sVh00RvOzs7k6dOn0ul0HJ62tdm29D7powXMRd56flkMQk/gkPK1riDQRhI8K3h1eDwey3A4dAomDpbSB/0gvVKpJOVy2eUBwxhxC/f29lyIFt6mCe8TfhbKNnuohdrPagtLkOjFBKstLMHrW8SwnvHlnwa8W2XUeVr5xJRTA8Bc1zTBGgtSpAGFvvQ0gJxWFuu3T1jq/o4Rqml967vvA935PfbQYpCbPcHh0YWt0ACy8I25iBjJvOiG+Qvjr9PpuPm0XC6dh/VdNOjSwJNc7u3BYzhw8cmTJ+5AY8RSTJLEHXo3mUzk6OhIer2etNttp8T7PNx845wV/lCZ1wXd8Pxd7JcfG11dXblQJghtouP+WyAv5tlgMHDxpAGY53I5KZfL0mw2XXxQhDJhb8QYA2sdxVzzVga/8B/gNs4lmU6nDmDCjhYO2wAAncEofONg8EKhIJeXl1KtVldCNXAsbb3zjD+6vj7D6V0YK1nB+jRDbp20Ykm3Weyz64Lhse+FnvON0SxphPLdBHCSlk5Idwyl53tXk9Yz+KO9xgF6a+9x9hjXYVZ40Z3Bbmu+Qo6Ch/HuEsuLPIsOGXs9hqA3YDceh83a3d11nu+DwUBms5kMh0PTqzykG/R6Pel0Ou7w0i1t6UOmJElWDvzGAnin03GLTDjkPJ/PO3udnX14oT0tDF0Mr4/lAT6730onTaavK/OzPGvZIDFyJNY29aUbQ2n2TKh9sryTVi5f2X26YJpdFsIa+Pvq6sqFIYacgAMWDoHe2mxbugv00QLm7A10dXXllFUNAOs40SLXwVROk79Dyrov/vlsNnMKI4eLgRG8s7Pjwj4cHBxItVqVhw8fuvjJlUrFHSCqD0wDiAXDeD6fy2g0ktls5ra1TKdTFysdoANiHkIgwyuNPfN0aBtuAzA9X/vp92LAcl/scs2MY0Fqq+9CIHLMarK+p8vCgA/np5/lNHyLCiJ2nHXOK2t59TM+wR1SJnzAtW+hIJS+77fVbiBuAwaVODQKQHDMKwC/tVrNfeBhzqGSMK7ZoIV3F4PFZ2dnMh6P3a4ObDO+y0I+1C9YRHj8+LG0Wi356U9/6vgO+gL85fz8XE5PT+XFixfS6XRcyIy07dI+EB28hq/5xpgvrTQlzXpnS++WLi8v5fT01BmMAFw0aVASYw9hTqbTqdTrdQeWYy7DMwvKNsc1z2qghSgWKOXY5CIiw+FwBYDTvAo7XbBDDvdhHIuIlEqllXnDOg+8zLFAzwf/MfCGsDVpxva69V+HYvvnpsDs+6CYMvuAeJ/+GZt2FlBVU1raWlbHlOMm+VnPhxZ90oBySyfD/OR5ioU46An6G+C4XuiyymedV4DwJNqDnHeIboo2wQd5IQGOBwcHB85eAQ0GA5lMJnJ+fu5skZjY6igjQlicn587J6AtbelDp+VyKcPh0P0/OjoSEXHnBBUKBbdwtrOzI5PJxO143dnZceej+M5tsf6H9OosvFk/y3p7VsA8VGbfczHp6bJa9vU6ALxOIyvxe3q39LrlCV0L3cvS3hYYHqsb8G+Wi4vFQp49eybdbtfZ0qenp1sbbUt3jj5awBwEgxCGqMj1Sa8nvw9ExTtp10LGgz5oE++z0Toejx2wXigUpN1uOzBPG9GVSsV5wiIeIgxwxENjsA9GM4BybOnW3+yVDoCCgQc+cCwL0JpmrGhQNHQ4Gaet3/GVQ+djhfaw3vXlpeunn0sTsOsIRx8wb5XFMgKtvENKBl/3tYF+Trd5mmDXddP34MEFQxRGKbY9FwoF98Fcx71KpeLCIfHODYBQOIA3SRIXTgXjng/SAliOw92wbRIHDfIODhi4d5F0f+A/+MuDBw+k0WjIkydPpFaruXZDuyC23Pn5uZydncnFxYXzBGCPNx/w4ysTU8wiVmhs+Z7H913tmx8LJUniFm0RmuXnP/+59+Bhfg98CAd8Y1GcF7+w8AwPLOQFEMoqj0V6noR4Ykx6ug5s5OIMknw+L+PxeMVTFbIdu13Av6zQDgzA7+7uytXVlZTL5WvyG/+1Z6t1/gnam+sWmqMhuRNDm3p+XQB3HUM4xK98umQaWBGrQ1nphdKK5Zmxaa8DHvh0o5AOkxUMsHQm/GYwPJfLregWvMuDzxzANZ57PAexmMW6JYdS4jmHRStevOKPPvcjJLeseqbRTRdO0HZwNmi1WlIqlaTRaMjOzo7zjEeIyMlkYh7KHNKfoZONx2N5+fKli12+pS19zNTr9WQ2m8l4PJZSqST7+/srZygtl0vHlzAnYRPxYh2TT27HAOYxcjQtnSwyYl294TbKEkrXl08WPhyTZ9ZFhJj+8pEFhmueHFMG3LNszYuLC+n3+3J8fCyDwUDOzs5kOp06e3trn23pLtJHD5jDiwMGJChkgMQawSEDJwQAQdHUijAU7PF4LCIi/X5/5Xk2hOGBtr+/L5VKRe7duyflcllarZbzEAVoCCGKcsA4hqKOrWAA6uE5Ox6PZTKZOMGNEC8w6uGJruvNir1egNBgqtVuGphl4yPUZxb5AFgt6PTqOMrL/WSlG8PYUR+uF7eHbgefMI8xiiyg2qqPft7XVr70uayhOlvvMVnC2SoLQCIYrBw6BYdKwQsa1zRgXigUJJfLOfCX5x0WiSCwcRr9xcWFi7WJecAHawFIwhhCeT8Uow5jBG1ar9fl8ePHcnBwIA8ePJBSqbQyphaLhfT7fTk9PZXnz587sBwGvqY0cNoaQ+sAXDo9H//eguV3hzDPvv/+e1ksFvLFF19cm/chhZ09NPnguL29PRcTFPyFD8Tzxcv1XctCaUC57zfmDsLTsKzUMZGxOK7jn0O/YS90hJKydA19eCA+0Af0IjnKHLNzZpMG421RzKKGResa8Va+aWNQ61VZ0mbyASShazrfNFB7U30do8uFdBhf++lvDZDzghQWqHghHuA4h1Wx+JSeYzqsCjus8M7OGGDcR5to+zR9TV9DO5TLZSmXy7K/vy/FYlEqlYqrF3beATBPC8FizY3xeCy9Xs+FfdvSlj52Qpzzs7Mz2d3dlc8//1yq1arM53OpVCqSJMmKXgCexeHdeAe6SNyiq48svTqUxk34UciuTUvbt0ig778rvWSdfG4KvMe8EwK9Y/LPsoBiYS/g57///e+l3W4H09nSlu4KffSAOQirVhAmFvmEgU9QxDAkDfzit1aMfco3pwdgDgZuPp+XwWAgOzs78uLFixWPWwDqABKr1arzBMEzvL1URKRara4o+uyVzko/e6ND6YeRDaObPW5ns9mKVzqHucgKWvgWIrhNdf/qvrNAfJ2HFRIGz8WEjMhqbOuy6LRD9bHS1wsQobLFlgkLFwwO63JyHGrOmw1UBoI4bi8fogllEIogth5izPIY5rFseVjAe6vX67kwBTgQFwcJAjCHUYdQBvgGaKS9LrmNbgqkvAviMmIRAfHJ79+/LwcHB3J4eOjaW+Rt3OiLiwvp9Xry8uVL6ff7K/FEOR6yyHWeaQGe1kISl/EmAJGuq4h4+c2W3h8hZufOzo48ffpU9vb25OHDh+5+GqCSy+XcnOz3+24ul8tl2dvbc2ECwB9ms5l0u103/zGnYxb40oBOH8WAmKH32Ps7l8vJeDxe8W5lj3P2Sgc/5RBTHP8URvfV1ZVUKpVrnrBoVwbOtTc6Fi2weK69YnW7vmsgMM34jqWb8PY0fhYC529aBg12h/QK3/UsAPu6ZOlQoWctI1zkrW7GXuP6g3nDMcb17jW8iznDccdFVmOP80G8vCPTd44AhzxkvT6tb+4CsR5Xr9ed0w52uyZJIsPhUCaTiQwGA+d8A/tA2z2h+Q074ttvv3WHhG5pSz82ury8lJOTE9nd3ZXj42MplUpuN0elUpGDgwNpNpsroSitRT2QBY76gOY0zIKf1XRT0HwdQD4EmN82WH4bukoa3WTR4ibyxmpLSyZPp1M5Pz933uPT6VQmk4mTERyOaEtbuuv0owHM4fFZLBaDkx2An+UxYgmeEMiun7We0elyvrqcUK45DMpoNFp5D4ISq87VatUBYjiMp9FoOG9SKLrWFm+O+Q4lX8dEhcctvNOhHOM3vP84HqM2yNHuMeCXFuD47TMGrX5IA8x1P/iMbguITyu/r1wa+M9C6xrC+l5a+3P5NEjMixS84MDPAcDBfV6wAVAOJRC7JBByCGMV3pR8OB7nJ/J2LPEW6Pl87mKMI57mcDiU0Wgko9FoJQwRDNzQglZMm99V4gUMxHI/PDyUBw8eyOHhodRqNSkWiyteqNPpVNrttrTbbXn9+rVTgPTBY7FKmk8hz0ppIOe66W7p3VCSJA5cOT09lZ2dHXnw4IGIhA07DcImSeIWwvC7VCqJiLgDfOE9isNCOfSBJW91OZk2Ma5C7zPAiYUoAObsha7DRGBREfKfQ1YxyM4LihYYiG/wUb14zt/4MCioF8V9AFlaW1sLbFkpzbi76YJGTFo6XTwH/hl6Nu1eLGAR0lf5twUQp6WdhbLqKJberfVBX3gVnhu8kMShjWATcDgVX1kwltl5hR1GsNMFYK8Or4I0dJr4vi15FTsuQ9fQLtbhnuAr0KHgFY6QLHpBPYbgwHB6eirHx8fbuOVb+lESFqFAxWJRJpOJ203Li32ws7AwqG0xX/qWfap5rJbjtwWY++R/6JqmTYDjIZ3Tl74P6A8t3Gcto9U3vudi00kr0zo2bpK8Caf18uVLGY/H0u12ZTAYbEHyLX2w9KMCzMEgIFySJLl2mM7Ozs4K+BMCzEWye8T4VmktxmXF17YAd32dYwcOh0O5uLhwdWbPGvZGB3COGIQALuGVzl5sCIUhsgp0w/hjAxsgO3ups/cutoBrr3S8i3d4Wzh76eg24n6yDsnEM7pfQKEYurrtfYZVWtx1K30GMbBQERobKAM+Po9vH6hrCX89ztjDSn9rgxQ7N9h7C4CN9hzXHpEIG8TGLdqWPSIxJxBCheOFY6EG24A5tADCCI1GI9PjS2+HttqE+1SDvGltfZcIiw31el0ajYZ88sknsre3J/fu3XOLFOCB8Aj4/vvvpd/vy6tXr9yhwXxgoAWUY+75dvPEgJOWYuxT5EI8moG7Ld1NGg6H8qc//Umm06k0m00Xj5wpzTgAz8Ti7XK5lGKxKAcHByty7cGDBw7UGQ6HMhwOnfzxGY9WObICpVkpBriHHASQzvxSe81ahxbqUFdseIP/WyGstIctA4hpMdLZK53BRw0oWiC7z1j29YWlO1lyPLY/fAs2ae/5yvu73/1Ovv7666j83xX94he/kH/zb/5NUJ6tK+N8ugz/1iC41jnYU1z/5pjilrc46zH8H6THtF4Q0nHH9c4z1kstG0LX3TdWs9BNwI2YBRm0E/SDVqsllUplBShfLpduh4+1g0fP5Zgyfv/99/Ly5Us5OztzaW1pSz92WiwW0uv1ZDgcSrvdluPjY2eTF4tFp+c8evTI2VIiq85LTJa+naYD8TNZdJ+si8wxgLnvmSxly7JQGSq71ieypBvDG2P55yYXXmPl/2g0kvl87rzHX79+7exw1v22tKUPlX40gLmIrCiyiPfJii6ESUg4ZFVqLcGjwZ3YNH1AHd9j8FpErhmheBYKcD6fd4f6wWOk1WqtxIUulUouZjQfnMhAJgwSy7CG8czGhg6NwfFT2SDhOI/oJ2a+XD/2FOT/DG5z2SxwXYPq/O0LxaLbN0uf6j5hY9FHVrx13mZv5a8VJa47extyOaxt/DrsCUKiAPRmMBzjhp9hwJxDCmhAXnsm6hBBw+HQeTNhYWg2m8l0OpXRaOR+68NstSGr21u3Rdo8vcvguKZcLuf6pV6vS6vVcts5m83mylzAgYqj0UjOz89lMBhIt9t13vohICALmGRRFhArJi2rjFu6W7RcLmUwGEiv15Ner+cO6fUZeSALxIRcwMIZDr7GTireZaYXzpCOzyDzLci8D/IByvobvJwBcxwatlgsnMcoe6bx7h3NI9kTV8tTtL2Of24dbMihKUIgI9czbQGNy+Vrr5hnb0qx6Xa7XXn58uXG878J3b9/33svVK8QGK6v+capBrJ57FrgOHZO6PAq7F3p4x+sW+CbF330jgodqk3H9w+NU85zHaApC21CfnK/oO3hAMEhHvP5vNPdcebRaDRy7aXbxcpHX4eO3+v13Hb+LdCypS29IfCo5XK5cn06nUqpVJLFYuEWtCDvNR9N4z0xPOq2+VgabdJOyEq+ums9UfO3UJljZMO7Bsx9ixP8gf42GAxkNptJr9eT8XgsJycnW769pY+KflSAuYi4Sf3FF19IoVBwq2Lj8dgZb6A0Rdv672NkbIxDeIWYosVYWfH0gXiawemDPzgdCNz5fC65XE663e41IwOGCABTeKM3Gg0HoCN0RrlcdgA7BHU+n18B25G+VqRhdMAjDfd1GBcYKGx44x1+FuAqe8Kywc75oC2sreTaqwXpcNujHVmYWKvMVp9aIYA0SMRjRo9J/OY4tdyH8DDQgDeMTjY2AZQA/Gbjk+Pj8bZ+PmAml8uZp7ZzObkt0C8wTLFwgt0RWEDB4YAc3mc4HK6AXRwf33eAFsqpdx7o+WPNI/5vKUWa7iKQvrOzI0+ePJH9/X356U9/KtVqVfb396+NqYuLCxkMBvL06VPp9/tydnbmPHB9HvncJml1j1lc4mf0HIl9dwuWf3h0dnYm//AP/yC//OUvXfxxxNKPIe57jNnT01MpFAoyHA6lUqnI4eGh7O7uSrPZdAvE3W7XhWcCP0I6IVl81whl1XILMms+n4vIGz3IAiZ554/ljc7yQnuji4hzRCiXyyaIqGUrf2B4aS91ls1W/OdYj96beKj6ZDp+4xn+fxdlQCyF+LhezNftYoHeeuFG71CzYoxDl9CxxXlhXZfBans9TvBbe4tDf+TFHR5rIbkXyw/SFt82RaGxGAvgoA/K5bLUajVpNBorIBx0Mz4YHXq31p0tm8kH6pydncnR0ZG8ePFCzs/Pt6DLlrYUQViw6vf7ksvl5Pnz51Iul+XJkycudBLmMshn/8TwtbugA/lstE1STLoh/hbCi3T61vNW/j4bSvP2UDqWTuu7xvfm87mMRiM33o6Pj6Xf719zmtjy7S19bPSjA8xhgOHQzGazuaIgw6AUua503pQZMxiKdK00Y1d/13nGqgsUWzA4Zt5sFOdyOZlMJrK7uyuTycTFlAYYDsCcvYrz+bxUq1XnWQyDmwFgbQAx6FoqlVYMbWbG+HCsSDZ0GFzXW2w1MM+gOn9rpZ/vMWDO/zmcCtrcB7YymIv0fV5R2uPPMkQZHOe2TgPM2XjVHuC8vVkDJbinxxePKWv7PkL1wEBFHHzecQCAHPc4xji26DJYwmQBHL45EJor6875u6BMatrZ2ZG9vT3Z39+XZrPpFrbYe3+xWEi325Ver+dizmGXh28hIs0A52d9ADf3if7Pz6WRfn4LmH9YhLMG2NM8DTAPyWksyMHjPEkSt6gLPgavSfB28DPtdb5p2pReoSmkU+idZygHy4jFYiE7Ozvue7lcXts9xPJBh87QoKmWZZqHaEML8pTltj5U1Oedrr+ZR7GcsPQfq+18wEEIaIxdMIxZXHwfBJkv4vcEB7HeZgHl+ptBcOuj9Q0dkk2PJ2ss8fXQgowOEahDCVoy731TaNz5nhfJvosV/VEul91uU+j1IuJ27CG0FcBzbjNdBl/ZQOibwWAg5+fnzlN9S1vaUjppOx42VL/fdzwOZyxYodpCoUSz8JGsPCr0jgXw+kDf2+LPsRjNunjROmA85xN6JiYdfY3Lz7oZZORsNnOHOWOBZjAYBOuwpS19DPSjA8xF3ih73333nRwcHMh/+A//QebzuTx9+tTFBNNGl4/SmLn+z+EerGfZc9l6jo0RX9m0McFphDyBrDLzN36Px2MREen1eteAML2FFv8BmCOeNbxUEAMRcdQBvuOaNtLZkEN7clvoeljGE/5rY0gb0+yxjGva8OL28oEAuo21dzq3HdLSgLn+j+e5nXWb8DY8nY8ukw/csEAObUACZMWiBQBteIizt7g+BBaHRur4oIvFwpVDAx96jHIbWdcwDnzzGPnoMa/bIPS+pjS+8b6oUCjI/9/emS43klxn+8Ve2Amyyd6nW6ORPbbmj2Js/fId+DJ8pwqHIhQOhWVZnkWzNLubbJLYtwIKhaW+H/2dnEQyMysLAEmQfZ4IBgFU5VJbVuZ7Tp788ssv0Wg01sQuul7n5+doNps4Pz/HYDAwTq0GrntCJBG25XNuEqTkfW3Y0u2LyMG4Q23B6ekp+v0+vv76a3z22WdOaam91b1XV6sVhsOh8CIvl8s4ODhAuVwWMy0ODg4wGo3EArcU1mlfn+dt0D2vqhc6oYv5TIK5vO6EyRtdFkFVAdVUJ1s91fds3J8qlOrEd+oT6N756rvdVi9b/XXso2BOMwhlIwr1JdT/avgTuf+h66PIM85sIrzN6Aqsh1KURW55DRxZDKe+hXrtTcZ2V5IK0nH7msQgeZuuL5+kzrry5T4TzSQtFoti/QfZK3U4HGI6nQrPcmojTX01V6bTKfr9Pk5PT/HNN9+whyLDbEkYhnj//v218R2FW61WqygWi3jx4gVKpZI2D5fnWdeGxr3f1bFVnNC+iRB/E+yqnpu8OzYpZ1OiKFoLszIajXB2dmbUVRjmofNJCuYARCeavNiOj4/FNGLqBNIAK07MUTu5qpVOh26QpaZVy0rygjG9nGwvMbl8U946cZigOPCLxWLt5bxardbipwZBIKbI04CrUCiIGNeyBzSF/KD/ssc07Ud1lz3W5XMmf5f3lYVmavTp2FXPQvl41Y68bh/6UweFNsFcfoHK29Up0PSbGqJFFeh1wqR8rPQbfde9COm/PNgkg4LspSUPUMmDnzzC6TPFAqU08kBLFTRUIVs+V7r/ts/ydVU/666jrjwTtuc1l8vtXGhTj0PdRv9JzCqVSmKh3mq1Kr5TPtPpFOPxGP1+H61WS4RjUdu/bQbCtnMddy3Ue9i1g8hi+f2F3sEU07zf7wvjqkta02/UvtHsMlrMEoB4N1F883K5LDzbqc3a9T21r/enzuCge49Ru0/e6LJ3uiqUu3gNm7yIdcKq+p7VeZibZjapv+u80uV7Ru4P6PoFcn3U8yf/rusTJgk3dFvk83nUajWjl7hJQJevn26xTcC+Novp3Mt9EPm7fE3l8Hvq7EJ1nQJVKN9WuNgVJuHe1A9PUt+4/eka0cxQCt/geZ5oJ6kfR9PxZa9yU9voKrYtl0v4vo+rqyuMRiP2LGeYHaETNGlcHkURZrPZWvg79b0th9bcxJiYZLusP2ySZ5LyXAyNrkbLTeuwLS4akK2e8jtSDXFKbTKFRKU2n2E+VT5ZwRz46NHwl7/8Bc+fP8e//du/YTQa4eLiApeXl2g2m8Ij1uTBbELnIUOYBlpRFF0bXNCLThZ85YEdpY8rTx2AqnWxHYPaEZaFK9lLTLcP/cnxYClv+fgArAnY8kCLXuC6RSXz+bz4k73bKI3pd9omhxORB+2qME/HofP0Vs+Z+rt8vtTBvnqu6bM6+FbTqYKyvD8NXtSY3hRXEvjFi1OO/S4vZEXbp9OpEL/JW5ygZ0NOEyc+qOdJFUUJmzBGaXQDb9P9JXuaq9fINGjWXTNT/eXf6HMmkxEeG2recmfV9Ozq2hvaVz0u2iaHzaF4o59//jmOjo7QaDSEFyjtT15iFxcXwqN3OByuDYDVP0obJzaYvA5M9726Tf5umipqSruvQiTjDsVHfPPmDSaTCb788kvU6/XYdLZrT/cwTUv2fR+lUgmlUgmHh4eoVCooFosol8soFosIw1AsOkcxGqld3QZd+7HvqM87vT9UVOO0LK7Ka2DQn/ye1nmlq0It5W3r89jqr37WHZv6m/o+A8xGZts+ct70V6lUnI/htqhWq3j9+rW2X0Kf5f86TH1Ntc+imxFgMsara9TIRnxdnHFbPeLqn5RNBRQ5/aZpTP0UFygdOZ/Qug6PHj0SfWyagUZehrJBXe2rbsJy+XGB8cvLS/z3f//3Wj+TYZjdM5vNMJvN1uKdZzIZ1Ot1FAoFHBwcoFAooFariQVE95mbatd1+bvun8S5B9CPZ27aiBuGIcbjsTCCUgjOwWCwphnIdWKYT5VPWjBfLpcYDocolUpotVrIZDJ49OgRUqkUCoUCOp2OaEh0sflsuAzcCVVs0+2vE69t++u2mxo/U2dbHtioA1TXwZLNiitv0w0qSRxMpVIitmwQBNfiacte6ep0YNXbTfakIVGe6kICvSqeE6qorzsnJsOEOgVdHkzL6WQxVT1vulBBNMgkdItgRlG09vJTvbllLyx5ECtPY5ZDpQBYixtvm7Zuu/bqZ5fOQdx9p97XLh0p03MR1+mxib0u6M6BraOk3l/yPnSfk+B3dHSEer2Ow8ND4S1LC54uFgsRd+7y8hLdbheDwWAtVjnVRXcNdccaZxQx4dpWubRzahru4N1voihCv98HADx9+lSE7jJ5qdqedfkdCvzS/pLHTDabxXw+F4tZ0/NUrVZF3F4KK2XqC+yib7AvJBHg5OdTFc/k8y4bb3XrYND7WX6Py+9hNaQLgLXv8n/1Tz4m9d6Qw6Gp58A200z3u+kcqOeL/rvMmrhtyMAhf5exnQu176IaX01e/1EUXTP2qyF01HVmdAZ6uV6md+hNPX+uIoe6X5J3pGl7EmFF7Tek0x/XGaKZBfl8Xsx8oNm2JKr4vi/6hbsQy4GPbfDZ2RmazaYQ4hmGuR3ktlp2EqRZ4Pl8Xsz+prXIstms6CcVCoWdGx9vI5/bKmdXmMqJe++oa3XIi1xTiNQwDEUIQhrbc6gVhlln/3rrt8hyuUSv10MqlcJPP/2E58+fixi/4/EYp6enaLVaWK1WCILA2DnUdXxtgrTc0ZQ9sXR5y/mZGkabcGfrlOu8h0yYvI3k7eox058qXskiMQ125DrKA1XyYpOnAlE9aMBEg2Td+ZHrIQstNCiX06TTaXieJ+oix0wnMV0W2eVBO/1Xy5E9eOQ60nHLIVrkmNLyAJDSqQNF3WrUssgtD1TlQYg6wKR91euse2FSHeW81WM2XQN1W9y9arqmOkxieZzBxlQeYXseTUKC+jyq+5rKMJ0j3XOl7kcd10ajgcePH+Pp06fCS0w29KxWHxc/PD09RbfbxenpqTZWs00YMp0/+bc4Y4J6zDaxnLbL6xWo5dHnXQzgmf2h1Wqh2+3i+fPna17IgH22gg71voqiSKyxEAQB8vk85vO5iGlOYcLm8zny+Tx83xeCbxiG2nfbLjHd5/uGS9umhjHTte2qyC2/T+UQbDpxndo5dQFJVXhX/8v10bWrLsYZ9XfXaxVFkTDG7BPyudH1WVWRWo4nLodv0xnj1YXY1VApuv5gXL/adAyu27Z5tuL6/rYy7vIdRfc7zfg4ODhAsVjEwcGBeF7CMBQe5d1uF2EYroWmiusruZ7X8XiMb775BsPhkL3LGeaOiKJIrFE2HA6vbaf1XijuOc1GkWeuMnZs49Fdvw+oLAql0u/3xf8gCDAYDHZaHsM8dD5pwZyYTCZ48+YNAODx48dIp9Mol8t4+vSpeDmMx2N0Oh0xWFY7jDYBWSd2m7yd1Dx033Xipq3zKovTunzVgYlJ7DQJY7rOs0nwA64PQtXv8v468Zm2qx7gcfWW86U46+r+8mBNHrxTeTphxjbwlvfR3ROqhzmwbghQ668K7ur5VafJymK7Dt1xUhp1ej39phMWZHTig+k+NeWTVCDXHVccpjzixPC4vONEE5dnVt5XvW8oPQ12KazEo0ePcHBwgKOjI+EpS9dwMpkgDENcXFxgPB7j3bt3YqVzNZxOXN3l0DbqOdEZKdTvus9quTbx21Q/00Ceud+sViucnZ1hMpmIe10VGpMIlXIa+k/tJs20WK1WYmFqAKhUKuJ5m0wm4nkiQVAuP+n9ZzMA3QUuddj2GVPbALkfIb+L1XevycNcJ4rrPpv2VcV6k3ive0+5iO2m87iPXlzT6RTNZnOtPZX/1Fjw1BfReXyroVJM/3Vt922045uKvKa+tGs5cftu+uy79JvIwJTL5VCpVEToBVpzJQxDTCYTIarQou1y39LleOL2mc/nuLq6QqvVwmAwYLGcYfYY0j3m8zmy2Sz6/T6y2Sw8zxPtTj6fx8HBgUhDYZ3IQ33XmMZvt4HLOFDGZewo7+sKrcUnfyePcQqnRWuG0XeexcMwyWHBHB+nHb5//x6e56Hf76Ner4sB8tHRETKZjOjQqeFZTJ18WehSBUz6XRXDdHnIuIiE8qDdRfhyyVfeV66XnL9JxNcJYbr6uogNurSy16kqSstetWq+6uKb9N+2uJtuQK+WozsnpvMiI3u703Ya2JsWCtXVTy1Pd15tA3z53ozDJnKbrqfu/MR5p5vysG1zrYdan10IQabnWzZC6OoqpzfVU77vc7mc8Cqv1+v47LPPUKlUcHBwcO3aT6dTjEYjvHnzBsPhEFdXVyI+vUmwoHJ1YqCrscJ2rdT9Xa+J7prKwg3zsIiiCB8+fMBwOMTr16/FdGDd/eKanwoJ38PhEJlMBlEUoVgsijUySqWS8DinhUEpL9Uj1lTeTQjg24hrOtS8djH4dBEltxVKTUI2gGuCuBrqRV6g0iSuy/HU5fxVQV7epoZ809V5H9ur6XSKVqu11qbKorga7k0nfBMu7wsdpns6ieigluvynKjPquuzm7ReLvVI8ly71FO+Z2mRv3q9jnK5jEKhgHQ6LcSWfr+P6XSKfr8vrjmVs4t+EvBRML+4uBCC+W0JXQzDJIcW/SUvdB3lchkvX74U41nySpffs4Suzdp1fyaOON3httskFx1EZTabod1uizQURng4HPIinQyzQ1gwl7i8vMQf/vAH/MM//AN+85vfoFQqwfM8PH36FIeHhygWi/B9HxcXF2JhBJp6ahMaVYFSJslAUSdaqyKrWqZOQLeJ/KY66oQ7F2HMNgC3DYpMx2krSy1DN1jTiXO6F7Z63qgs+bt6zdVpaep5kwfI8mDeVHeTAUC9z3TXzyZCq6j3ii1fXVrdd5dBla480/Oj+6waZHT3g0tHyDbYVbfZ7jfdMenq7HqMpt/kdqlcLuPk5ERMkSSvchIxOp0OxuMx3r59i/F4jKurK8xmM7GQmm3Rujhjg6ldUM+N6R4xfdc9o3K9dOd7V4N4Zj+ZzWaIogj/8z//g0ajga+++gqe5+0spAXdOzTbYjgcinienufh4OBAxO+sVqsoFAoYj8fCEEWDSZN4HteGmtotedtNiNm7FPpMebmUkVTYtKVXf1PPH4l/atslvwdNv5naZDUNcH0BVN1x6aa+3zXksWbqP6nvCVt/axNcxOldsen9v4mwkTTvXeZHglWhUBCL+JXLZXieh2w2K+LZ0rT94XC4Fst2V9cW+Oiscn5+jn6/jx9++AGTyYTf3QzzAJjNZvjw4YNow2h9MTlsSyaTwdHRkVgngcjlcvA8TzgmfMr4vi/W7yGiKEK73UYYhmu/LxYL+L6/9p2coRiG2R0smEtQvL5arYYnT56IzmS9XheiOA2Ss9msaKRInNKJmERSjxXa16Vjrg5eTAKoKW8Xkg5i5OPUifu6/JKI4q7nT1ee7hyp5ajxzXUCu26QrJZh248GMuqxq9t0A/s4ZEFfzt8ktCcdpMXVZROxndLpRIk4EddG3LHH1U8VZU1pbAKzy2+6MnUijOd5KJfLOD4+RrVaxePHj4WYR/uSIW8wGKDb7eLDhw8YjUbwff/aDBn52Gz1jHsmTahGpyRQGp3hQs6TBfOHDU0pPTs7g+/7+OKLL0RMc9t1T9KuyfcRLX60Wq0wm83EgrrkYU7PWiaTEQMTmglEfQXK07W9NtXpppGfsU1wSRvXF7Hll9TwqqZxMZqq+W1jLKbPLu/tffQAo8XfVLYx2MS1/bsWibclzvB+l/W19TN0+5JYTjPSyuUyqtUqyuWy6GP6vi+E8tlsBt/3xbhGV9Y2LJdLdDodtNtttFotDg/AMA+ExWIRawQm4VwVxT3PE+2NLnyLqX2T2XRMuysDqIvjg4vxcTqdotfrrf22Wq1wfn6ufTczDHPzsGCu4eLiAqvVCr/73e9QKBRE7FKavlgqleD7Po6OjjAYDMTq7uQFZ/O8NDXMtkGnTjhXBSLdoEwWmjYRlDYdFOheVmpdVbGL9jF5XNteaK6Cpi4vqodpanSSF7IuX51obzMixInccXU0CQ06AUd3r8jp5MU9aeC1yRRyOa2L4Gz7XXdMpm2mZ4zSqd7+tmfMJu6b9olLa6ubnI4WsaP1FF69eoVKpYInT54gn8+vLewZBAGm0ymurq7QbrdxcXGB0WgkPMbUmLI2gTxONND9ph6rbEiMa3/innXduXbpfDIPAxKyR6MR3r9/j8PDQ7x+/Xor8cpkTKPnYzqdijAFNIujVCqhXC6jWCyiWCzC8zyEYSgWxptMJmuLMSe9N13334VopxOWkw4eb0I83MfnWfd+kY9dDXHnImzuY0iWpAYGGdd+mvrbbbDLe+q27k/1HtN9Nt1f1G+gOOU0M4ZiDtNMmiAIhGe5LuTkLqGwlmdnZ+j1ent5/zMMc3Msl0tcXFxo1zKjRbzV2dqpVEqEya1UKsY2kSiXy8jn8yiXyze+IGkURfB9H/P5HOPxeK1N0/Uvfd9HGIYYj8fGtcVorTyVfTSwM8ynAgvmGiaTCdrtNgaDAQ4PD1Eul8UiOTTFqFAoYD6fI51OC09z8upUO4GuQlHcPjqRWcYkxOrE9TiPLxeBMCmuXmZqGboyk4pwtvqYjA9J8rV5m+nSqKKtad+klnJKYxM3XYwKprzivO90FnWX+rt6ryXJ00acccVUnq2eOqPHNlBe1PZUq1VUKhU0Gg0xpZriLUdRJBZ0GY1G6HQ6aDab6Ha7ooOmGqd0x2c6fhdczqetDFfDkIuQzzxMlsuliLFLoQTonbwN6r0rvzflBQ0pTBZ5mZPneS6XQxAESKfTa4YpSk95JuU2BUVi35+nXbavrpgMnC5GRPW9qzNS7DObtuuE2m7fxT19X9mk70T9BlrrgYx6lUpF/EbT9qfTKSaTiegjqGGlNjWiqVBeFMJqPB4LL3aGYT4tki7wm0qlMJvNkM/n12bwmdrH1Wol1mW4icVGZUgwpxk6cUbA0Wgk9uXZNQxzf2DBXIPv+5hOp/jTn/6Eb7/9Fl9//TWOj49Rr9fX4nEVCgU8evQIJycnaDabuLq6Qr/fx2QyuRb7z8XzRodpcKV6MakCrBzHWC2HOtSqh61L+Sbh3TZwlPeTB4zyi09eNEvGJX/1GFSjglp2FP0SH1wVM9QQKZt6sKriqa4OMnIIGNpPjmGu81izfbcJzvI1kK38ut/k7zajgsmooRps4jwDdGKDbsAuey6r/+m+NxmQ1MVadUYlXb1cPAZN23Tnh+5DGfk+oCnUx8fHODg4wIsXL8RUamqHgI/P0WQyQavVQrPZxPn5OQaDAcbjMcIw1Brx5OOOE6Dk+8JmuNIZSbYdaKvlqAYJ3YK+zMMmCAJ8//33aDabWC6XOD4+xsuXL6/tl1SYM91HdI9NJhPMZjOMx2OxODjNOPM8D48fPxZTkmezGfr9PubzuZh55lqma733QYDUGUhN22+C28p3G0Og+tt9EIx1BqQk9U5q1HB5h96Xdv4m73lb3tSXyOfzyGazaDQaYv0F6i/M53P4vo/hcCiEa1koN/V3tz33s9kMs9kMf/7zn9FsNtHpdMSC4wzDMDaiKMJoNEIqlcJgMIjdX17Y+zbet+rMXRu0j8m7nGGY/YQFcw3kTTYYDBCGIVqtFlKplBDJaWE9isEVRZGYtk1CHYnm1JCqmAYU8u9xDa+rJ7SLSKkblLjWI0mnd1cd5G3ycR0MmET3beul89qWfzcZDmyDUNOA05afK6b6boKrV54LskirE3NN5W46oFWfk207YiZRhsKrkFdYvV5Ho9FArVYTs13I2EPxZofDITqdDrrdLnq9HqbTKWaz2bWp1bpraTsfcec0bp9NcM0vzsjBPEyi6GNolvF4jE6ng1wuJxaRUheS2lV5wC8DHRLA6TkkDyZ6bovFItLpNGazGdLptDBYbRqiZZt635WHulqurS46w+++Pte7bPP29Ri3QXUOoN+SptvHc5O0D+T6/G37nMpOJzQuyefzKJVKYrySSqXE7JzJZILJZLIWbkrnNLCrezyKIozHY2FoHAwGLJYzDJMIcvphoZlhmLuABXML0+kUQRDgT3/6E0qlEr766iscHh7iV7/61dp0bIqV9ezZM1xcXKDX6+Hs7Ayj0WgtJiCg99IE9IIedaRdBh7qvrr4zLLoqnqc6sLI2DrxqjezWr58THF1ks+JSQSziXqqWKzb1yQamgRxm6XYZFxQ83IRhlUP4zihQa27es7VfXTb4sR3W91NXmeuhgJd/V3K0eUl33fyvurvunMql+MioNuO3fX5pH11Biz6nYxy1WoVJycnePr0KY6OjlCv10V8P+Dj/en7PkajEX766Sf0+318+PBBeHKR0c/0DOjuVbUN0F0vNa3uGqjnQnctbefPJty7PJ/Mp8F4PMa3336LTqeDIAjw/PlzPHv27EbKku9z8sgMwxC9Xg8HBwcoFos4OjpCPp9HvV7HarVCpVKB7/vodrtibQF6LilPYhMhNq692hVJ2ke1jdgU2/vJJOrdhXHgU8BkMFevj/w+kPe7qXpsQ1z/Nu6+cj3GJPu5ni+1/0B96FKphHw+j0ePHqFQKIhYv6vVCkEQYDAYwPd94Qgke5XflNE7DEPMZjP87W9/w9u3b8VaKvzuZhiGYRjmvsCCuQXqSAZBgNVqhXa7jfl8LqZh01RHmu6YTqdRq9WQSqUwnU6Rz+fFAFtdEFQVG9UO+iZeJ6Y0qkgXJ9jH5afLw+Y95io8686DDZtIZ6uHTrA01TWKorVpXTrR3ZRfknrY6qDWZ5eowqVu8LTNANh1QJkUUx3jyk1yj7vUwXb/uBic6DO1I8ViEeVyGUdHRzg8PES9XkepVBJeYsDHkBQ084XilY/HY0ynU7GOgnodTZ/V+sTtd9fsY52YuyGKIhGHt9/vo9FoYLlcCk/LXZVhMvgsFgtEUSSE8EKhgEKhgHK5DOBjSCWaJUL1CcNQhGtT8wTuxrvWxVAVt5+67y5Ici7i6r4r8XYXhgDd531nm3fkfUfX59NtIzZ5hjcVy9PptAgRSaGhyMOcjODk+EN9BLkNsvX3dgGtqTIej8Ws24dwTzAMwzAM8+nAgrkD5I3x3XffoVgsotfr4fDwEF9++aUImUDenycnJyLmsO/7+PHHHzEajdBut8VCOzImj0udmEy4el/JecXlJ/83eQ6ZyqKOO0EdcV256rHSd9UzSY0vbUprOm653rq60Gc1hrcprrt6DnR1cvVQNtU/TohQ/7t4SNnqZbr31AEiLXaXTqevefaqdYmrk+vgTFcnui+SeLGphqm4fZLievw2A0sq9XERwWKxiGfPnqHRaODVq1coFosoFotrz/BqtUKr1UK/38d3330H3/fR6/WwWq3EYFQW40wLDprEJBeDQtx3Gy4GNBu69ov5tPF9H+/evROzMmjW101B9x7NHBsMBshkMphOpygUCjg5OYHneahWq8jlciiXy/B9H+PxWHh5Uvi2uOcryX2+rUBsMg6YytnEoK8S1z9wedffF+H5vtQzDtc+WNI22rVPuwvijNum99RdGLR0kJE9m82iUqmgVCqh0WigWCyKEFEUlq3ZbArBnNos+T0adzxx/SdTmiiKMBgMcHZ2hl6vh8lksuHRMgzDMAzD3B0smDtCHmVBEKDX62G5XKJYLKJeryMMQ3ieh2KxiEwmAwBiYb5nz55hPB4jlUqJWMOyFyhh85Z28aZVB7G69HEdXlcPMnUwK5fp0qk2HavJky8uDxchWTcIjxMHVGOD6/HYcLlOujqb6mYqw1VI1onmurJ09XNBJ1hvKrTI95fuerref9uQ9BhsYlgqlUIul0M+n8fh4SEqlQqePHmCSqUCz/OE5xh5g41GI0ynU5ydnWE4HIrFBeVBcJJnXWcckesYZ1BJctxqnbYRj/ZBsGD2h+Vyidlshna7jTdv3uDZs2c4ODhYC2G0DTaBVjZQUSikwWCAIAgQRZGIq07COf02Ho9FWBfVYGwqd5fHsO1+un1tfZibwqUd2fb9w1znobXBu3o3uZal9gNM6PoP6XQa2WxWGNnL5TKKxaKYhUZ9AuofTCYTzOfza2J5kvomhcY6V1dXuLy8xHQ6TZwHwzAMwzDMPsCCeQJoEc9ms4l+v49er4dHjx7B9308efIEnueJ0Aq1Wg2VSgW1Wk2EZ+n3+2KRHXnhCtmDFjCLxarHNGCPga2KsXJak+BsEpPVctXyaDvFTXb1QtXVSSf8xQ0wdMdgE6BNIqsqCMqe7up2NS/12HWDMDUf+djl80eo3ymten1kD2Qd24jecl3UPG0iqw5X0UI+Hts11d2nut91+du2xw2gkwg18n/1PqYB769+9SvUajU8e/ZMeI5RKKDlcokgCPD27Vt0u12cnp7C930RKorqq1uHwIZtu9wm0Xk1iY+mdkNXju5ZN9XH9Kw+NLGG2Q4yQL99+xaXl5f4/e9/D8/zUCqVdhaaRYdqyAuCQKwhUCgUMJ/PUSqVcHh4KEK1eJ6HMAyRzWYxmUwQRdFaiJZd3NvbCNcuxla5nCRGXrluN3Gcrtt1dYwT/5mHh834u4morL7bbXm49INsYnmxWESlUsHBwYEIw0L5+r6P6XSKVquFMAyF8c7WN0xiBNf18dS6jkYj/Pzzz3j37h3Ozs5i82YYhmEYhtlXWDBPCA1wgY9eFL1eD6lUCpPJBMPhEMfHx6hWq/A8T3RuPc/D06dPUa1WkclkRNzhIAhEZ1bttNoEvTjvYt1/nfgkp6HOuPybrVyT4K7ur9ZhFwNl3SDdZghQ66NuM537OI/rpHU2iYNxwqXus02Ml3/XGU1kgT6uznL+OoHc5RhshhiX8uNwETtsA2NXET+uDjpBXIVC25RKJRQKBTx79gyVSgWPHz9e8xJLpVKifWi322JRz+FweC2kg+04XIUg0/Puep+q+8QZOHTny1SOLJSzWM6YoPfyu3fvMJlM8MUXX6BWq4n1RXZFnOC6XC4RhiEGg4Hw9iTDWCqVQqFQQL1eF+ETwjCE7/tC+JfL2PR+3zRdkjYwzhDpkm6TNn4XYja3Iwzg3nfS7ZMk7yRpTUJ5JpMR4nitVhOzWlOplFjLYTabiXYnCALjeiab9mHj+jfUX7m8vMS7d+8wHA4Tl8MwDMMwDLNPsGC+AdQJnU6nmM/nGI/HGA6H6Ha7wiM4n88jm80ik8kgnU7jyZMnCIIAhUJBxDNPpVLXpmTbhNw4QZo+mwbbcV7AcnxoXV10n3WCnQlXYV23jy1Pl8F0nOe3KU1cPePqS2lcp8Im8c5TxW/5dxKIkgwIdcdiM87E1deUp+67Lk8XAdhkGIora9NBo62eLtDAt1aroVqt4tWrV6hWqzg8PBThnIggCNDtdvH+/XtcXl6i2+1iOp0Kj1T5GuraAJdzo6K2HaYy4gbONjHN9qzojDosljMukOD8/v17tFotHB0doVAoIJvN7sQoJmNqm+hvuVxiPp8Lr/N6vY5UKoVyuSzqROJ4EASYz+eYz+fXFgN1bWP24dlIYlC7TTYp03buk77z7qu3uvqOvO/HY0N3TLty8HAtz7RfKvVLvPJSqYRSqYSjoyNkMhnkcjmxxhIZ0weDAebz+doCm6b/SYnrM1LIuMvLS/YsZxiGYRjmQcCC+YasVqu1uID9fl94dFxcXODly5eo1Wo4Pj5GLpcT0ygfPXokvM3a7Tba7bZYCIwGzJt6bun2NQmDOm8R3bRwnWBqEul0aXRCl+pdqgpktuMxlaeKyKb0siCnyy/ueOOug1p/0zRY9Rzo0hIkfutCosjHJP++jcBChhO1rnLeOqOMej9tMyiL84LfpZehzVvUpRzT/Sb/ns1mkcvl0Gg0UK1W8eLFC1SrVRwdHSGfzyOXyyGKIsznc/i+j1arhXa7jaurK/T7fYxGo2vxyuW6uhggbMcs76trG2x5JzFu6b6r+avewCyWM0mgkGfffPMNLi4u8NVXXwmh+jage5X6CFH0MRxCEASoVqvi/Z/NZlGv18Xn2WyG4XCIxWKB2Wwm0m1a/kNi0/fJQzwXt0mcc4Dt3bALo/Qm3JWwv6kjhm4b/aexQ7VaRaFQEGszZLNZ4VU+Ho8xmUwwGo1EyEddH4HyvYlnIgxDnJ+fo9Pp4Mcff+QFPhmGYRiGeTCwYL4F8sKdq9UKYRhisVig3++LAXCtVhOeIOl0WnR8C4WC8ChdLBZr3mWycG0TrpJ47ZqIy9Mk6pqEOlVY3aZupvx0Yq7JQ0hG9gBMkkYuR7fNNADapdCnCtW6eiQhrm6biO66+1XnqbwpSYVc02/bGqTUdKb85Hs3l8vB8zzU63UcHR3hyZMnqNVqKBQKIkwLhXIYj8e4vLxEs9nExcUFZrMZwjC8VsauvMZcjlHNX2dE2WVZcjksejFJIE/zi4sLDIdDvH79Wiyuu2sRLc7oRuue0MKkq9UKi8VCLOjreZ64x+k5J49ReRaJrc2Pez5cjLJ3zSaGyV2WGycMx/2e5J18V0LybeLiZHDTwvYuznNSB4lN8tDtQ/0HWtyTFgKvVqti38ViIUJBkkGdvMpv871Jhv5Wq4VWq4Vms7m37QzDMAzDMExSWDDfEvLkoL/JZILZbIaffvoJ5+fn6Pf7qNVqeP36tVioJ5fLif9HR0d49OgRBoMBzs/PMRqNMBqNhCepjEm4krebPL1lwVXNT5cXgNiY5mrdZK9g+byYxGm5TF3+cho6F6rnsWmgIeetis02z255kCX/rvN6VT+bRFrdwE1XR91v8n/dAqC28uOEEleh01QvUx1UATepsGrzflbLdPlNl4/t3tSJ8rpjV9PKx5lKfYw7WigUUKlUcHR0hJOTExwfH6/FLyahvNvtYjQa4fT0FMPhEFdXV5hOp5hMJtfagl0Mhl2MPbrjV481DpsgpZZF0AwHeWFkhklKEARYLBb4r//6LzQaDXz99dfwPA+e591K+dS+RNEvC3vSbLLpdArP89BoNJDP51EsFoUhfTqdYjgciuef0iZ55u+TILtJXXctOm9r9HNN6yIkfwo8FEF1F84Lch600Lfnecjn82g0GqIPkclksFqtxEwU3/eFUE6zXXV9g5s81/P5HG/fvkWv18O3336L6XT6YK4twzAMwzAMwIL5TiCBOJVKCY+ywWCA6XSKfD6PIAhweHiI1WoFz/OE50gmk0GxWMRyuUQul8N4PEYURcLLTI5BGIdtwGfztk2lUhtN+44bYLqIepsOLkxGAldhVickm4TyKIrEIOYuvV1NA22T1/mmIoSaVjZQyALzNudhm/Q37ZW2Cbpzn06nhVd5rVZDo9HA8fExDg8PUa1WxXGQV/lwOES/30ez2cR4PMZgMMBisdC2AdsMynV52c6li7BzE88Ee5Yz20IhUVqtFubzOUajEQAIT/NdtiEmg5IsmpOgtVgskE6nMZ/PhYc5rXlCs03ouZ/P5wAgRHNdWfcRl3OvM+67GKrlNmsTg5+LkS8JSTzV952khlIX5GfEZoxPmq+c922RpCxTvyGTyQjjGS0Ons/nAXwMfTKbzUQYFjKoy7Ndb6uPtFgsEIYhut0uut2u6LMwDMMwDMM8JFgw3xGr1Qqr1UoMesnj4/z8HM1mE71eD/V6Hb/+9a9Rq9Xw+PFjEdf45OQEjUYDtVoNk8kEp6enGI1GuLi4EIuBqZ1hwuQBqxtYxg1ATYJz0g54nLiqekybBkm6ga8uXE3c4Fjnxa2iChzy71QXm1eyrjw5D/Vc2IRLNW/Zu95Ub13Zcd7D9JkMAuTF6OJRbqqHbSaAydBhOx65LrrrqN5n8rmm41FnB6jl2M69rV6m65HL5VAqlfDs2TMcHh7ixYsXKJfLqFQqIv7ofD5HGIZ4+/YtBoMBfv75Z/i+j36/vyaU6+47k5HExYvbNY3ueslpXNMlFegB9wVyGSaOKIrEQrn/+Z//iZOTE/zLv/yLEKRuSlQy3b90b5OXeRiGyOfzODw8hOd5ODg4QKFQwMnJCYIgQL1eF96k5DG/iYHbVqd9wfSukHExtpra9tvgU/cc34aHft5sTg20qGe5XEaxWES9XofneWLdBZq52m63MZvN4Ps+lsvlWj9B5Saf99VqhdPTU3S7Xfzf//2fmAnDMAzDMAzz0GDBfMeo4ibFFez3+1gul6jX61gulyiVSigWi8KjJJ1Oo1aricEzeZwHQQDf97FarUSIgk0GjaZt6ndXL+2bwCai7qIuNgFZFWZva/CWxJtNJ+q7iNq7vI53OaiNE1KA2/EkVMVy+kzPcrlcRrVaxeHhIRqNBur1uvASIw9TEsA6nQ4Gg4FYNJjiHAPr4Z6Imxwc2ww6m+Zj+03HLspnGBny1O73+8jlcuj1eqhWq8jlcsKr86bLB9afAQqzRAuF0zueQjXlcjnkcjkUi0VhMKd2X15I9C7ZtSc2sU1+qpEvzhC6izKZ5Nxk/9JkFL7rvovuO7U/tMZCsVhEqVQSIVloZsp0OkUQBJhMJsKJRmdY3vWsCN25JGN/r9dDt9uF7/uYzWY7KZdhGIZhGGbfYMF8x5CnOX0GIEK0kAdpvV7H+fk5nj9/jhcvXogFfSqVCkqlEsrlMoIgQKPRQL/fx+npKabTqQjZYvLaNHnw2gTyOK9zF1SPX12Zan3VdPQ7/ZGIoau7zgtcVwaVQ3nJ6Uxig83DWT1eVQiRyzMJty7e7i7IAopcXpy3veqhLJ8b3fHrjkEtX3f95TS66xxXlq1s9bPp+rvmb6qbzdtcNV5kMhlUq1WUy2V8/vnnqNfrePHihRgI076j0QiTyQQ//fQTut0uzs7OMJ1OMZ1O19oO9Z6Sy0riWW46H7a2Ic5olLR8nWhly/+uhUDm4UGe5hcXF/jDH/6AV69e4Xe/+53wNL+tOqjf5/O5WPSbjOTlchmHh4fI5/OoVqvwPA+LxUKEeev3+0K0ss3msJW9SzZtD+4S0+wZJp5dORRsIprfJw/+uP4DzUajtY1qtZpYy4DewZ1ORxjW5/M5ZrOZENFVdi2Wy5/lYzk7O0Or1cK3337LYVgYhmEYhnnwsGB+Q6xWKxHqgr4vFgsEQYBMJoNutyvilh4dHYmBMcUvTKfTODg4QCaTge/7QiynTjMhi+Um8Uv33TRYSerhrRsUJPWAN20zCaHyfrrBuipo67arn12J2z/OuzbuGu2CXXv+2fJxFUFNaeh7Es9xuZxtBs+66xJneFANAKlUCsViEfl8Ho8ePRILfJbLZfE8p1IpEXuUYn12Oh30+31Mp1PMZrO1GKTq8cq4eJRt+/y5bN8UW93Yy5O5SeTZHf1+H5eXl2g0Gmg0GuJd3Ww2EQTBWrpt2tO49pG+p9NpZLNZFItFeJ6Her2OXC6HQqGAJ0+eiJAtFO5NFs6o7TAZwqkcl/Y5ztCb9Jhdcc1/0zYizpiwq/YuiZH2PrR3pv7dTZahc4jYxbm6abHd9Z1K6xSQMb1cLguv8kwmgyiKxEKe5L1NaxqZwpXdxr0UBIEQ79vttgh1xTAMwzAM85BhwfyGkGOay6L5fD7HYDDAeDxGp9PB27dv8erVK5ycnOCzzz4TU8Wz2SxevnyJMAxxfHyMTqeDn3/+Gb1eD51ORwyUCbWzrnqq0mebWCn/V/dVBy06Dy2bl7Huu+pFqytX58Uti5Y6T1xb2Wqe6nnRbVM9bk0edaq3tu3Y6fq4pFHLkffT5Z9KXV/IdZOBr6nuNoOAWldbuer1Nt03umusy1/NR7dYq+l8mfIznQPgY9zRTCaDk5MT1Go1fPnll6hWq2g0GkIop1BKJNCdnp7i6uoKw+FQhF9RnwHdudD9FneOdfeU6T4zGdZMdTGdd50Bwtb+yPvcBwGJud+sVitMJhO8e/cOnU4H//RP/4Tf/va3Qoz+4x//iLdv3956vWzvyP/4j//Av//7v6NerwMAPM/DbDZDq9XCbDa7NjtFTr8rT2qbGB/HbXkFs9f47bPttU3aL9m365rEQYD+ZzIZ5PN51Ot1lEolHB4eirVNgiDAdDpFu92G7/sYjUZiPSRT32CT92ZcH1W3vdVq4ezsDD/++CNarRa/rxmGYRiG+SRgwfyGiaJILG4ps1wuhZdYq9XCfD5HJpNBrVbD0dER8vn8mgfKarXC8+fPhTcrhXYIwzB2kbw4b51NvKJMaVz2IeIEYJNQp3r52uqbdFvc77vyuFKF2k3Sq9/jhE3ATWi2pTf95lJHE3HnwPV+spVrOl7TdbXlQQt0VatVsbhnrVYTU6rJS2w+n4sQCq1WC1dXV+j1evB9fy0GqU0stwkStmsbN7vCJW+T970p7ab3Mw+8mdtmuVwiCAK02228efMGT58+RbVaxWKx0IY7uEt838dgMECpVEI2m0U+nxdrnsxmM6RSKSwWC9GfMBmuXNn0vWp7Xydhk3Y+zoN8EzY5d58atyVg71qUv2l0/Q0ysJdKJRFuqVAoIJPJYLlcIgxDsRgw/Ve9ynd9L7qcm+l0itFohKurK1xdXWEymfAzwTAMwzDMJwML5jeMPPhWPV6n0ykmkwmCIMDFxQUGgwHq9Tp++9vfCuGcBsgU6qHb7aLVauHdu3doNpsYDocIw3CtTJ2YJXvzqt6cuxiMxImtOnFSXSBVra9uGx0Dxe3Weaaqx2YyEsjnwuTtrMvLFGM5iUghLzS3rWBMdZfz1AnBqqevzYs5zrta/q564OvSx3ks244vbhttt3moy+XSvq5GEPV8UdzR58+fr80MoVBKUfQxVMJ4PEar1cIPP/yATqeDZrMpFgHW3bO7GoTq7hf1no0T13Wo19N1xoNcnuk4eQDO3Ca0kN7bt29xeXmJf/3Xf8WrV6/2TiwHgOFwiMvLSxwfH6NUKokFw/P5PGazGbLZrPAyXy6XWCwWRi9RwPye2odncNO+iK4d24fjua/smyf3PpHk3MjOHeQEc3R0BM/zcHBwIPYLggDD4RD9fh/j8ViEaZPf27u8n12NYlEUYTAY4Oeff8a7d+9wfn6+szowDMMwDMPcB1gwvyVkLxFZqCPvsCj6uMDPZDJBPp9HrVZDEAQolUqo1WpIpT4uEFSr1YSnysHBAS4uLjAejzEcDsXUTbkMkwDqIk66eq2r+avlqGK0LR9b3eT8VaHb9ThswoGrYOvq8Wuqu4xOkHepg26bTfzU3Qe2axhX7jb1VD/bjC1JDTtx11K9h0wCr+75KRQKYgr10dERnjx5goODAyGW07NMIZc+fPiAXq+Hy8tL+L5vnA3iamgxbZePRWeYUK+5q1huM9CYfrddI52H+y4NBQyTFIrB+/79e/i+D9/377hG1yHP00wmg8lkIuKb5/N5EdrB87y1kA7kKW8y/OrYB5HU1obEtRO6tjyubd3kmHXvBtv3TcvZF+La9U8FV5FZ/k79Buq7k/NLNpsVi/1OJhOxThHNGrWFYLGVu8t36XQ6RafTweXlJc7OzjAajXaWN8MwDMMwzH2BBfNbgsKykAcqdXLT6bSIR97tdpHJZBCGIarVqlj4s1gsrg2Qa7UaKpUKTk5OkE6n0el01hYBM4nlNs/yOA/xTba5ipe2PNVjMXmW29LKnuz0RzFfyStbFZx1+alT3W0CpzrIlL2/5X3kutL9YYpF63rOXYwILoP6bQZfLnlt4qmly0u9j+OMB3Hl6wwH6XQanufh6OgIL168wMuXL9FoNFAul8XMkcVigcVigXa7jW63i++++w7j8Ri9Xu9a+BW5vrry44RsV9FcV0bcfaQ+A6YZFS7n2FYXFsuZu4beve/evcPFxQUmk8ldV+kaJJgvFgvkcjlEUYRisShCtxUKBYRhKEK10fMaRZExXNumxjkbanuwqchqen+Z3sku5Wwj+ureZbp3hEt/5j60dy7Hsc/sqh+zzXHL/TnP8+B5Hg4PD1EoFFAoFBBFEYIgwGQyQbvdFqJ5Eq9y3bO2yz5cEAQ4OzvDxcUF3r9/v3E+DMMwDMMw9xkWzG+RKIqwWCyEwEbir7x9uVyKBQG///57VCoVDIdD1Ot1PHnyBJ7noVgsolwuo1Ao4IsvvsDTp09RqVQwGo1wcXGB2WwmBHQ5b0AvBibx6tIJv7o0OoGT0ppCsdgEa5sRQOe1bKszpUmn09dCo8jb5N/UvOPK1J0HdZucVhbz5eOyiZKm82cTFlQB3uWc2zCJJCavO9e8bAaAODFFPefy/SdvMxmR5O35fB6e5+Hk5ASNRgMvX75EvV5HvV4X8UeDIEAYhjg/P8dwOMTp6SnG4zG63a7WqzyJyCP/jzPQbIPNQ11Fd95M++v2dfWcY5jbgmZnmYxDdwkJ3+R52u12kc/nMZ/PUSgUxAw08lz1PA/j8RjT6RTT6fTaooEqLoYvV+IMtnHp6HOSdCY2MUZuW2Ycl5eX+Mtf/iLqsA8hLmq1Gn7/+98jl8sBAB49enTHNdocU98g6TV3vca6/eRY5Z7noVariX57KpUSs836/T6CIMB4PNY+o65i+a6ZzWb48OEDOp0Ofvrpp72cdcMwDMMwDHNbsGB+y9DgV/aUVgmCALPZDPP5HKVSCVEU4fj4GOVyGalUSsQv9TwPuVwOYRhiPp+j1+thOBwilUphPp+Lgasq2Ok8cnX1lPd1Ee10+au/x4m/OqFTTqsTVE3oBuCyKC6Lo6pQYhIP47xzdb/pxACX41DFW1XsttVHLlc9XleP4ySDRp3ovAvhRJeH6f7VnSsZNcZ73DlPp9MoFAqoVCp4/Pgxjo+P8erVKzHTg84teYBSCJZ3796tGa228dJ0Icn+LoNw3T0q30fy/uq+pnsrSfvBMLcNeZrvI/TsUR1XqxUymYzoC3ieJ/oDmUxGhIei2Wv0/pc9z4lN22kbm+a1yzrsK/1+H3/961/3qv0rlUr46quv4HneTvLbpQHGlD+gf/+4pt1F+aZtmUwGuVwOpVIJ5XJZCObAL2sn0GLgYRgiCIK1fsIm524TY5MpnzAM0Ww2xULl+3SvMgzDMAzD3DYsmN8BNHil/5lMZs2jmaAFAinMQ7PZxOPHj/Hs2TMcHR2hVquJjvnr16/x+PFj1Go1DIdDvHnzBpPJBP1+X+QnLzpKyB1sXSgQ9bPqLa7zQFdFQtXDW+elrnb05cHQarWC7/s767i7CARxA7FUKiXCcZi26zzMKb9MJqPdP4qia8KuHDbGlha4fm7V47AZalyNETqvYblOqlivq4vOWCHXzWRAsYnn8vHL58QWUkStJ806qNfrKJfL+PWvf41arYbnz5+jUCigXC6LPLvdrvAo7/f7OD8/X5tarQ6CTQNinQe2bh+dEUSXn5zGhE78tqVX6647t7r81OnlPPhmmO2gtmUwGIhFw4vFIhqNhhDODw4OUKlUUCqVMJvN0Ov1EIYhwjBcE89vm5sWU9WybHX4FAT6+4DNYcO2n6mP6lrGJtiM7NlsVhjYq9WqmAUKfJzBMhgMEAQBut0u5vO5WKg3rm+gK/smnqPFYoHT01P0ej189913mE6n/L5mGIZhGOaThwXzO0IWvdS45rSdvMNGo5HwIgeAXC6HXC6HbDaLSqWCXC6HSqUCz/OwXC7heR76/T4ymQx83xce5ySY6xYgVbENRkxim0kcNgl7SQY8tDDqvuDi4U7bXQZrFLtcFUZpW1w9AHMoHF19ddfU5dhcjkV3zLrvqke47n7QeZPZ6q3zMo+7D2WhnrzDqtUqarWaMEIdHh6K52c+nyMMQwyHQ7EoVq/XE6IULSRoO8d0PC5eZSaxOkka03Z14G36bKuz+rsu/316dhnmPkOCt7w44HK5FOJcoVBANptFLpfDarVCNpvFdDoV737VmCdjM6i71Ou+EOclTNiOyXU/ed99F+mT1s/mUCBvdxXFN61HHNsIzHH3iuxVXiwWUSqVUK1Wkc/nkcvlxGxR3/cxnU7FegS2MEk6dmXkUe/bKPoYKnI2m6Hb7aLb7aLX6+3tjBuGYRiGYZjbhAXzO4Y6q+l0WkyzJoFUFkrlmIdXV1d4//49Go0GvvjiCxweHqLRaKBQKODJkyc4OjpCo9FAr9fD27dv0e120Ww2heiuE7Zlz2YXIdvkDU2Dcqq/bgCuehLHDdL3dSBO18yEPEiO85gynX/aJqcx5efiga3L0xWXAa7NE1rORz5eOodx5yhOYDYdu5xOfr7UfFOpFJ49e4ZarYZ//Md/RLVaxeHhIbLZLFKpFMIwxHQ6xcXFBT58+ID379+j3W4Lg9ZisdAusmcSmHX7mL4nxSW9q2e6TUSP+30fY0IzzH3CJDbSH4nnQRCgVCqhUqmgVquhXC4LAY8WBu12u5jNZmJx0F2KYjZR0kWg3qbNc8nDZkBlb/TNROptPLtv+5yq/YBt7zfyKs/lcqjX62KWBzm0BEGA6XSKTqeDyWQiYpWb+gkudVa3AdsZdSh03M8//4x+v4+ff/4Z0+mUxXKGYRiGYZj/Dwvme8JqtVoTk+Xf6Dt1tGezGdLpNMIwxMHBAaIoQi6XE7FMs9ksqtUqVqsVDg8PRdxECmuidpzVsAouAxlV8JbTmjylTR7QNpFX9j7eJ+E8lUqhUCggn88DsE+djdtu87xX0+q2m+pnKt+Ur63OujSuIojOOKPW0SSum8pKIpir97caTkiuR61Ww8HBgRCcMpkMoihaizvabDZxcXGBVquFXq93bcEuF8E5zut9n+51hmHuFpvhUw7rQO/KXC6HTCaDYrGIXC6HfD6PdDqNUqkk+g40a4vykMuS2+IkbZHru0n37t/Emz3OQOxiRN5G9E2yzz6zb/V3FbddHAJshnR537h7R/5Modvy+TwKhQJKpZJYTwCAMGJNJhNMJhNMp1MxI8RmRNYJ3C73Z9L+Aj3z4/EYvu+j0+mg3+8LUZ9hGIZhGIb5CAvmewB1dnULj6md5TAMAQCTyQTpdBpXV1col8v4zW9+g3q9js8++wyFQgHFYhGVSgW/+tWvcHh4iOPjY3z48HHle+q0y8IhdaB1gqJcF9pGnX4aoKuxo03ip87DXBf/WhbWfd9Ht9vdK2/VTCaDly9folKprP2uejLHDXpMwoFtECSnUQ0ctE312tYZRWyig05Eka8tIYf5oe+245XrJOcRRR/DCqge4LI3uu5Y6Z7VnQt1YEyf5fxXq5V4FtLpNE5OToRH5mq1EnGCSSB/8+YNhsMhBoPB2oJ6m8LCOMMwLpjeqbJB3fd9BEGAyWSCQqGAw8NDlEol1Go1IejN53OUy2VMp1Nh8KPY5rpyXIyVcajvs20FWldv2zijruuxuOR/39ty071lEpa38bx3uRc2NabE5enqsGHqv8rOEsfHx2LNAMpzPB5jNBphMBhgPB47CeXbkqS/BXwcR8xmM/zv//4v3r9/j+FwKAz/DMMwDMMwzC+wYL5HuHj0qt7n5BFyeXkJ3/eRy+VQLpdxdHQkQoZ4nifCS6TTaeFZRiIkIYuPOk9g+bNJMLfVmbAtAqoKn1EUiZAY+0QqlRJT31Ujgu7cUhqTJ7F8vGooG5t3lem8qEK2aYAqD3rV866m0d0X8rHL6W2DTjXfTQRzWdRXBXPdeVePUfbMlBfepYW6VquVWKhrNBrh4uJCxPYkbzGGYZjbIE6cpO3UjpIA7vu+iGOez+eRz+eF53kqlRLCGbBusJfzU4nzgo0TIk2is8usoTgD9K6E1bj9XTzXd1HebWHqq9hEa9M2m8juWr7MNsL8pmXqtqdSH0OwZDIZ0U8olUrI5XIAPhqsgiCA7/siXrkslsc5QMhlbmp8cWknlsslBoMB+v0+er2eEPX3ySGFYRiGYRhmX2DB/B6hE1tHoxHG4zF6vR5yuRzOzs7QaDTwz//8z6hUKjg8PEShUBBeMPP5XIiQJETncjmt5y4JmHInXu34yx7F5K1L3+X8TN7qOk9m+VhXqxVarRb+/Oc/79VU0Uwmg5OTEzx69AjZ7MfHSF1MTRZwZfFbFalN50AVr+Up9/L5k/9kYdkkelOehOyVrhsEy+XKmPJT99V9122zeYvLBoBU6pdZCapQL++rK4vqSqISQYvo0nYaSH7zzTfo9/s4PT1FGIZrnpgMwzC3gU7A1EFtPsVKDsMQ2WwWk8kEnufh5OQE+XweBwcHWC6XqFarGI/H6Pf7InSE62KE6ntMrS/tozuWJN/VbbbzkERcNRkEXNM+FNT+hO6aJj2v6meT4UOXRudEoMvjNqAyqU9Rq9XgeR6Oj49Fv3q5XAqRvNVqiRke1B+2OT6YHChM313Q9cGJ+XyOIAjw97//Hd9//z1832fjP8MwDMMwjAUWzB8AJAACwGAwwGq1wtu3b1GtVsVCYBSPuVAoiDTAL14zsmevKn7T/qpwS/sSlEbtqMd5rujEW1kAti2seZeoYjj9pmIaHMr/Va97NS+5HJ2gTNtVsVgdbNrql0Qwt+UnD77l+qrf1bxksV9Noy6ES/eESVxX66N6lMue91EUIQgCEdNzNpuh0+lgPB7j6uoKvu9jNps5C0kMwzC7QjZ8ugqN8ns4iiJMJhMsFgsRc7larYp3f7FYFLNsMpkMZrPZtYUJbR7ncj02aR83FUZ177ddiqsugnpcOWoeZJTdJ1KpjyFGCoWC1qtc7fO55Je0fNvvtnvelte2sxHUPoU8Ay2dTov+As1Eo3WCyFgl95dlkj4j23ibE2EYYjgcYjQaodfrodlsIggCDsHCMAzDMAwTw/713pmNWS6XYvGedruNWq2Gp0+f4unTp3jx4gXq9TrK5bIYBJG3OQmV2WxWDAwAXBMZdUK5KqSr03FV72cAa4uU0X6URvbSJk/ifQzJAkB44dOgQ+dFZRKJaTuhDvRsIrUuvVyG7lypYW90+ZkME3KeNs9tqhMZOei+iRPM1bLkepiOUSeK6+5N+h9FkZgePZ/PRTl0/UajESaTCd68eYPBYIDLy0sxvVo36GUYhrktTO2PbraSLG5T+zsYDJBOpxEEgfCKLRaLqNVqyOfzqFQqYgHAfr+PIAjWZqOZ6pLEQGxLI6dzEThNedra6bh9TMZiW5106XV1o3wofMc+kclkUKlUUCwWjX08GdvxqZgM6vJntf/gUr7p+rtcN11aXR3kGXxyKJZcLicW9ex0OphOp2i321gsFns1C1JmPB7jxx9/xMXFBd68eXPX1WEYhmEYhrk3sGD+AKHO/Gg0AvBx0cx2uy0Ec8/zkMvlkMvlhNd5Op0W30mglgdC6n+TKGkSzFXificPYBI4902wjJteq/OUN6WLyz9OYJDZpadf0n11grhNbHYdZOsGzLpwPmp68iQnb0mK00nf6d6az+fCi7zX6wmhXPYSYxiGuQtc2yBdWwyst4fT6VSIep7nYTKZIJ/Pw/M8RFEEz/PEAqHU/tnePy5t9aboPMiT5pvEMzpp3vK+OqFXVxd1kfB9IJPJoFaroVwur/1uErJVbP0GV8Halm+S9LrrsUnZav+N9pvNZiLkCnlth2GIxWKxl97aYRii3W6j0+ng7OxMjAkYhmEYhmEYN1gwf4CQNy2J5peXl0in00IwbzQaKBaLaDQaYuGiTCaDfD6PbDa7JpwTJIKawlK4iOI2sV1G9ZTbV68dnYFA/a96mZu89WSPctN50ZWteqOrBgeT0UOtk1yWPJtA3qam0x2j7vhkT0f1N1teurrRZ138dvk8Ah/jdZJIROI4iegUy3M6nSIIAhGGgGEY5j6hC4MmI7ef0+kUAIRQPh6PUalUcHBwIMJykActvQd0C1hva0RMIkrbxM+bMGZuK/LbqFarG+d9U2QyGRwcHKyJ+S5idZz3vW677fzEleni8Z4kf1u9oyham+1IM9GGwyGCIEC32xXiuW1BTxubGHNc8pQJwxBnZ2dotVp4//49G/8ZhmEYhmESwoL5Pcd1kAFAeJf5vi88yzOZDHK5nPAwp3AaFJqFPpPXuTo40A2g1HqYYpirgqhpUDwej/dOzFwsFvj+++9RKpWsBgDV69omOKv70HbTtHd1oVD5XMd5detEadkT0VRHuTw5H51AT9/VcD42cV0+Zt39ZipfPif0X/Ykl49B9TxfLpdIp9PI5/NrMwF0RgO1rnG/xe2vm0K+yf2gKytuqrzr4PmmhCmGYbZnE9FNnoU2m83g+z4KhYKIcZ7NZq+FaJPXjbAR1w4m8Q6Pw2Rg3qZ907XLtrRqnZO+B+6aKPrFwUL9nTD1QVzyNqU3leP6ztpUcDalob4D9QvIa5xCrSwWCwRBgMViIdY02VQst9VjW8IwFAt7jkYjXF1dYTKZ7OW9xzAMwzAMs++wYP4A0HW8Va8wGhTNZjOt6C2L4nL6XC63Nng2Cac68VsVXNXpsjpxUK4v5UMDmH1itVrh/PwcuVxO64mtYhPMKb+kAyhV2I4zTlB56jnXCeTydzmdibhBbtxgLe7eMR2PDAnhNJCV7xtTniQIUYxSEoXkuPSqccIm+McZKuTvcZ5xVGfbc6LmpTuHun1dvPXU33nAzTAPA/KanU6nQjD3PA/5fB7VahWFQgHFYnHNeC63R3F5m37XefnGGRN1edqMra71UfeJE8p1baVreapheZ+Ioo/r2dgE8yR5Jc1DPfdxabc1SJjKoX7DfD5fC9dG54Z+39f3IJ3HMAzh+z5+/PFHDIdD+L5/11VjGIZhGIa5t7Bgfs+hAS2wLrDZBrUkmMuxwUlgpHyIMAyRSqWEmC4PnNV948Rv+btpeqw68E2n03s5SKGBCdVN9s6WF7qkfW0CZlw5celM10C3v8mDOYrWF2U15UvXXxXVXYT6JJgEc5NQTgKQHEqA9tfdW7KRiJ4hFw99XR1Nv+nqbRK01fLUe0g9FzrvczUvk0eeet11+yYxljAMc79Qn+/VaoXZbCZCVamzy+g7tZu6MC2Ulw2TMdb0m2veLiK9rhxd+iTHZTMk6n7vdDrafe+SMAzx4cMHFIvFa9tM/Q95O5HEgKBL43of2DA5JOjKpe3yIvT0J/cj5P4SLWae5Bi32TdJnp1OB6PRCKenpxgOh+j3+9eMIAzDMAzDMEwyWDC/56gCuSpoq/vSPuSJKy9UpIbVkDv2FLZCHjTL+xKqEKv+Tp/VOpkEUqrrPgp2cqgP4BcPbzpXskd+nEDqgkn41Q06VXQCufpd9YLTiaYkmqvXUBWa5eua5FhVI4NNrJXrq7ufdccg/y6HHVKPU1eOS73lNKbfbAYUeT/VMKUaJUyiuXoO1c+6snXGHRcxhGGY/SbOI5y2k8GRRDb6XQ7NQqKhrQ9gwrUd1Qmorm3PXbVRantvqgfFkN8nVqsVxuPxtXenq/hMJL1OuvMVZ+xPiouhQ+3H6crVOYvcxb2mK5P6PqPRCN1uF5eXlyLWOr+zGYZhGIZhtoMF83sOeYVTZ14Oq0LovtO+sge3zrtW9ZxeLpdi0CzHN9UNckyDEJN4Lu+j7r+P0PnSLZKpO5cuYqyrN5e8ry1fVXSQ81dji8vHYxq00n2gq69aD5soq/uu7qvWVU4je5Wb7jVdnWSPSdmjXj5fumOIuw9dvc7U+8G2ry7dpkYX3fW3tRPyOd3X549hPgVkcVonKMalTbKP3O5Sm0uLbqttsiwk0neXdsxFEDW1wba676qd2rVxUD7mfVuLBfhYP4rTrdvm0icxGe5tRmHanvRc64y5Luj6YjqhXjVYu/ZVbds2Eft16PpQV1dXaDab+PHHH9Fut0V8dX5vMwzDMAzDbA8L5vccWcgkL1Sb96oMDXZlgTeuHNU7VleOOmhSf5fzsXkP36UnTxzygMsUxsNFIE/idScbG3Te5rp8bYM2uX7qtbBdF1P95O06gdZUV9dy1PqpU6bj0HmK6QbOujJt9TEZAkz7x+1nShe33dWT1BUWyxnm7tEZuXTtqk1wNj3Htrzl9lHNk6AZYC59jrg67eJ9n7Rt3RU2YVlnlN4n6F2qGsLVPp9N5Db111z6eZvWedM0cp/ZlqftnrYd/67qa8uLYq3PZjN0u1202230+32Mx+OdlcMwDMMwDMOwYP5goIFtGIbXFvBUhVZ14JrNZtcGNvLUXJNQuFgskEql1sKPqANu04BEjZWt1k0dZO2raCcLtirqAEoXTkPNyyQuy+dLPk9qCB21fF1ZqgAin2sXgUTNUxWcTd6DOtQBua6uhOoFnsSDis4ZLdCq3p/q8ar1sRkWdOlNx2nb13QPxV0D9XrpnnE5f5vHnCwk7OszxzCfGnHGQ5ffXNpnk4BNcZt1Yq8684feVWpZru2d+n0TI1/cNlePddf8TUKxvH3f+zKA+RqZjOku55o+b2oMsRnck+SZpF+jzprclXHAVC+5LNPv8ndarPfnn3/G3/72N/i+jyAI9nL2AsMwDMMwzH2HBfMHiCpiEnGesPKgN06sk8uRB806z+K4PEz/b9tLLClJxAhT2qQCrO662IRadcCpCt3y76ZyVe8yW11dvK11x64T7tVjVv9cUL3KdcenOw4X8dtEnNAgf9/mHo+royn/uPtyn0UdhmHWiWtHXETxuHS0r0ubI++bVEDU1XfbPJJu070nXM9TnPF6X7HV2bX+Lu/8Tepluv4uBg/X97ourW7/pP2DJAaWuL7AcrnEZDJBEATo9XpotVoYDAYIw5DFcoZhGIZhmBuCBfMHSBRFa3FH5QUo5X1UT1vyrMlkMmIBxbiBDqWVY5ur3ma2gZRab91v+zrgtA2O4ryfTF7OuvzUbbpFOW1pdEJ5nFhuE8hTqesLUJrqmkS4sInktvNkQl2kTi1H9tC2Cf5Uvsl72+VY46By6TlyEWjkuqqfXQQCwjZTgmGY/cBV6N1VnsB6eBZde6miGs/jynPxEr6LdmkTwTjpvg+VXZ+Dbc6/63tN9iy35ZWEpP2EOKNAEAT4/vvv0Wq18MMPP4hFehmGYRiGYZibgwXzB44sOJoGBDpxlAYQSYVKWVjULR6pK9dW930mzqNKJ2iqaU152vKiMk0ecDbPJXUAua0noG0qsauhRM3PJJK71k/1Krcdf9yg2LRvUoEq7nrrvNFN+cd58etEKdN1jxPAGIa5e1yeT5MYvW25unzi3heu7cmm7U7Sd0tcXrb3567zv4+Y+hq7SLvLa6nm6SqWb+LMYdtnV8eyWCywWCxwdXWF0WiEq6srDAYD7QKtDMMwDMMwzO5hwfwTQBYebQse6gRzEr5dBwxyXnJZ8qBEjpEul6cT9ijffSROsIzzGJKJEz11Qq9ukE/7mQamJu/0mxSGdYI/3YtUF/lepHtu01jaNKNCDcOilmETil1+38bgo947pnxtRhcZk+CjO+/yfuyhxjCMDbU9cZ3Boutb7Erglj9vm+cmYavi2ltT/vval7Gh64tses5tabe9lkkNHTpj+j4RRRFmsxmGwyH++Mc/Yjgcwvf9vasnwzAMwzDMQ4YF808IEsjkgYJtwKALrZLEc4zKikuvipr3hSQDLpfB4K682Uy/m4SGTYRfV+Hflp9JeNgkRIh8LUzxym3HbxvEb4urEBB3TWyeeHH11BkI7tOzxjBMMmxGOVOIKt13XZ6mPGx12WTWkalsl99dwlolSSOn22Vd9pW7eD+Y+qBJ0u3KqzxJmUm2udDtduH7Pi4uLjAajTAajRCGIb+zGYZhGIZhbhkWzD8hVO9j2cNXHfyaRHXyDt/E49xlf7n8+4IunAb9Tt9NYTHiPJ3l/Ey/66bHq9cwyUDLJGTrvJVdBIY44WLb8CC6ECzbTLF33SfpPU11tZXlep+YfpPTmI7lvhmmGIa5eTbxJE4qmlOa23jHb9LGmeq1bXt5H9rbJNfE5vgQl1ecR75LmiRGfF09Xb3cXcrdNVEUodVqodls4ptvvsF4PL7xMhmGYRiGYRg9LJh/gsievCQ06kQ3nTCayWSE93gSb3NZpJNjqZvEZjXtPqPzOosTRtUFUTct1zQ93jTol4X0JN5wJoE2qRAv70/3Hy0uu8m1JpE8bsEudZvu+rgej+l8uwjXroYMnfigezbUfdVtxCaLpjIMc/fc1DO763yTtp+6tKa2zCRw3oSI+Sm2kbtwVpDTbiO8J02TRCiX/5vyvSmjiQ2KVf7+/XtcXV2h1WphPB5jNpvdWJkMwzAMwzBMPCyYf8LIAqpMnJhqEmlt5cj/5YGLyVPoPnmYA3YRQN1vm2OL8zbfBtWgYSvLJKrr0An0OoF8W89yOV9dveKMMUnFHpvXuE4AMv0eV16ceL7NLAWGYfabKIqwXC7XZoQlTe/ym2taXR2SeJrL++kMimp+tvcK/ef2bXdsK5rfFknKchXLN8l7G+i9vVgsEAQBzs/P8fe//x3T6RSLxeJW6sAwDMMwDMOYYcGcWVv4T/bWVUOKyKgex0kGGMvlci10hjo41gmC+8wmAzeCvKx12yhvneDrGmolTiwxeVvL/20GEt2sAZORQL1XNvEol8+VzrNch67u2xpqdOfM5VyY6hQnCun2Ue8BndGAhSSGud98//336HQ6eP78Oer1Oo6Pj1EoFO66WkY2CdOiprPtJ//GYvnNsM/ndJs+w76wWq3Egp7n5+fo9/vodDoYDAaYTqci9CHDMAzDMAxzt7BgzlgFThPbTlk1eQHTZ51Y+1Bw9UiWt9vSx+VvIul53XS6vW77JmI5cF0wl39Ty3E1Ktj2sXk8Jsnflp9LPeSyTXmkUqmNFkxlGGZ/oQUAc7kclsslarUa0uk0MpnMNYPzbaMK3pt4msflS3nrtnE7d/+x3TObzFYw5b1Jvrsmij6GM1wsFphMJhgMBri4uEC320Wz2byTOjEMwzAMwzBmWDBn1qDp3zTQsMUbl7fTQED2VncpSx7oyB7n92VQ7OJBrB6jLW0SQ4Fchi5sh5qfnC95tseF3zH9TsflEoud7qmk94euLplM5lp5roNs3X1l8viP83bctVHCVdSnsnVe/5vM9mAYZr8JwxCLxQLfffcd8vk8Wq0W6vU6fv3rX8PzPHiet1feszKbGC339ViYuyWJA0dc3+auWCwW+PDhAwaDAX766Sf4vo/BYMDhVxiGYRiGYfYUFswZLToxNm7Ask3cS9nDet8GOSaSCKeb5L3L7dvUdRfHuQsh1xazdtPZDbr7e5fX9TbvZxbLGebhQQbHyWSCIAjQ6XQwn8/RaDRQKpVQq9WQyWSQz+dvzeM8ztirsm07eJPvWuZuUR0KbPeWC+rss7sMTyY7C8xmM4RhiG63i36/j3a7jTAMEQTBrdeLYRiGYRiGcYMFc8YKeQTLcc1tYUMymcxGnq60L3m3U3mbeiTfBpuE16DB4TbHpQq72wgJ6pT6JMiDUdP12tbrWV7QU3escZ7turqY0Hn/x80gcNmmMzipAlCcoCTfa5SOzjWL5AzzabBarfDhwwdcXl7izZs3KJVKePnyJQ4PD/H5558jn8/D87y7ruYaSdpsdbtp5hTz8Ekqku8rzWYTg8EAf//73zEajTAajbBYLDCfz++6agzDMAzDMEwMLJgzTugGL7qwH7rwIJuU5erZfpds47HtkrdOeNWJvvLvtzVwdBV4t8k/jl0d7014lgPx4QhM19FWl2086xmGuf8sl0ssl0vM53Msl0t0u12sVisUi0VUKhVUq1V4nod8Pn8n9XMNieWa167iojP7yy7D8dz1/UIh78bjMSaTCa6urjAcDtHv9+H7PoIg4PuYYRiGYRjmnsCCOeOE6nGbTqfXYlgT9Ls8aFkul4kHCPvsWU64xPi+ySnyNo9o9bq4eHmrg9a47y5xtJOKJHIce7ncpF6Kuvq67Kurj2tetn1dDRq287Wttz7DMA+L2WyG9+/f4+zsDN988w2ePHmCV69e4dWrV3jy5MldV09LUkP4NrOgmPtF0vApcWuN3AXz+RxBEOCvf/2riFM+n8/FgtwMwzAMwzDM/YEFc2YjdAObODHxUxwsqKE0NhEJbL8RLgtabkNc3qpgrkvnimpksHmMuXpiq3XULRK2KSbjgCk0i/zZxbv9U3xuGIZxg4zLy+US4/EYzWYT6XQak8kE1WoVhUIB5XJZLJh829ykx/ltwiFhbo5NZhTu8h0ul5s0n9VqheVyidlshvF4DN/3MRqN0G63MZlMEIbhvXAAYRiGYRiGYa7DgjmzETS4WC6XALAWd1zd766nyN4UccKrTRBwEQtUb/FN4mnH4eJBHSc+6/5vWpd0Om09XtNvpnvM5pm+jREnqde7ixhgypO9yhmGcaHX66HX6+Hdu3fwPA+/+c1vcHx8jFevXqFUKt119a6xSdi1XYbvSAKL5TfDJn2HfboWq9UK0+kU7XYbP/zwA9rtNq6urvidzTAMwzAM8wBgwZzZGavVai1cB6ETkR/qYCLOC8002E8aD1xXxrYx1ZOmN3mVJ0W9ZzbJa5s0STwHdyXs2Dzjd+GlzzDMp8tisUAQBLi8vBRer8ViEY8ePUKhUECtVtMauG8L0/onSbiPHt+NRgNff/312m+bzsIyGYZdfpepVqt3Mvtg0/eaqb+wyf0j55Mk3Xw+x3w+R6fTEWL5eDxGq9WC7/v8zmYYhmEYhnkgsGDO7AR10KKLRR0XsuI+EheexDZgjRMJbDHS47CJz5teA3Xa9K68ynVGll1hOtZt7z3dNbeFVEniub+L88owzKfLYrHAYrHA+/fvAQDv3r1DqVTCb3/7WxwcHKBarTqHU7spkr4PbXncF+H85OQEJycnd12NO2dTI4H6eZfvyLh7SC4rDEP4vo8ff/xRzOjgsCsMwzAMwzAPDxbMmRtBFY1toUt2JV7KIUxSqZQYwJgG4iah2zQYi1sMk35zHfjbYlzLwqm6+OUm8cpVz36X+J86779dhWCxCeU6Q0PcAFk+vm0W1lRx9YB0GWybrp3uM8MwzK6YzWZYrVb44YcfUCwWcXFxgUqlgpOTE5TLZdRqtVsVnW3tuG27Lb/7Ipp/6iS9tvuwtsd8PsdiscDV1RXG4zGurq4wnU7R7XbFs8UwDMMwDMM8PFgwZ24MkyBMouGuRXPKQze92OatTeK6TkSW60VC/HK53DgESJzXeJwwqwqvm4QVMYnlJnF416JuEo/yTcOm3KR4EnefJK0PC+UMw9wk5HF+fn6OdDqNq6srHB4eIp1OI4qiNY9zUzi12+RT8Db/1NhF2LZdzr6yGdnV/OfzuQhx1G638fbtWwRBsHUdGIZhGIZhmP2GBXPmxlEHJbr/utjNSfMnyNuHRPAkU20J3YDd5qEt/6bbR01rOs4k+yQVkeXPSQXcTa+NjEkodzWcmOplmqqdxOs7DnWgnlQ0l/PhkCsMw9wVtEhhq9XCdDpFPp+H53k4ODhArVbD06dPUavVUCgU7iS2NWF6L7i+v1g43w+2mYV2V0wmE3Q6HXQ6HbTbbUynU4RhiNFohDAMEYbhndWNYRiGYRiGuT1YMGduDVvM1F16m28rDuuwed1tsmjUPnjx2bgpMVcVqOOuu4vhwGXf2yBJOAEWyxmGuSvI43wymYjfTk5OcHh4iFKphGw2i1QqhWw2i0wmc6PrTCQlqZF4H+r8qbKtWH7T105+Z69WK0RRhOVyiclkgm63i4uLC5ydnSEIAszn8xutC8MwDMMwDLN/sGDO3Do6T+24MCFJkMOr6ERUW7zudDot8jDVRQ2JYouxqYrDScT2uJjpptjfLsJxXPiVXQm6VJ+kXv6u3uQ6z3eTB/6uBt+u14O27cI7n2EY5ibp9XoYjUa4urpCPp/Hs2fPUKvV8Pnnn8PzPBSLxTur2zb9gfsS3/y+1PMmuavjn8/nuLi4wGAwwOnpKabT6Zo3OccoZxiGYRiG+TRxEsybzSZyuRxev359w9VhPlVuYmGnT33wuS27iDPP14C9yZlk5HI5NJvNrfPh9zazKalUCuPxWHjaplIpYUxmmIdGFEVYLBZYLpdYrVbI5/NoNBp3XS3mHsHvbYZhGIa5PyR5bzsJ5oVCAalUCi9fvtyqYgzDMAzDmGm1Wsjn81vnw+9thmEYhrl5+L3NMAzDMPeHJO/tVMTujwzDMAzDMAzDMAzDMAzDMAwDnmPLMAzDMAzDMAzDMAzDMAzDMGDBnGEYhmEYhmEYhmEYhmEYhmEAsGDOMAzDMAzDMAzDMAzDMAzDMABYMGcYhmEYhmEYhmEYhmEYhmEYACyYMwzDMAzDMAzDMAzDMAzDMAwAFswZhmEYhmEYhmEYhmEYhmEYBgAL5gzDMAzDMAzDMAzDMAzDMAwDgAVzhmEYhmEYhmEYhmEYhmEYhgEA/D9hMTcDY6fZFwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1500x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dimgs = tf.map_fn(lambda img: dropout(img,\n",
    "                DIM=CFG.img_size, \n",
    "                PROBABILITY=1.0, \n",
    "                CT=10,\n",
    "                SZ=0.08), batch[0])\n",
    "dtars = batch[1]\n",
    "display_batch((dimgs, dtars), 3);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b8ed958",
   "metadata": {
    "papermill": {
     "duration": 0.02261,
     "end_time": "2023-10-15T17:00:31.571898",
     "exception": false,
     "start_time": "2023-10-15T17:00:31.549288",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Affine Transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ecb22619",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:31.619264Z",
     "iopub.status.busy": "2023-10-15T17:00:31.618950Z",
     "iopub.status.idle": "2023-10-15T17:00:36.241489Z",
     "shell.execute_reply": "2023-10-15T17:00:36.240672Z"
    },
    "papermill": {
     "duration": 4.65161,
     "end_time": "2023-10-15T17:00:36.246162",
     "exception": false,
     "start_time": "2023-10-15T17:00:31.594552",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "timgs = tf.map_fn(lambda img: transform(img,DIM=CFG.img_size), batch[0])\n",
    "ttars = batch[1]\n",
    "display_batch((timgs, ttars), 3);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ef3a884",
   "metadata": {
    "papermill": {
     "duration": 0.028128,
     "end_time": "2023-10-15T17:00:36.303645",
     "exception": false,
     "start_time": "2023-10-15T17:00:36.275517",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Loss Function\n",
    "We'll use Binary Cross Entropy loss for `bowel` and `extravasation` at the same time we'll use Categorical Cross Entropy for `kidney`, `liver` and `spleen`.\n",
    "<!-- ## BCE\n",
    "Loss Function for this notebook is **BCE: Binary Crossentropy** or **Focal** as the task is **binary classification**\n",
    "\n",
    "$$\\textrm{BCE}  = -\\frac{1}{N} \\sum_{i=1}^{N} y_i \\cdot log(\\hat{y}_i) + (1 - y_i) \\cdot log(1 - \\hat{y}_i)$$\n",
    "\n",
    "where $\\hat{y}_i$ is the **predicted** value and $y_i$ is the **original** value for each instance $i$.\n",
    "\n",
    "## Focal\n",
    "$$\\textrm{FL} = -\\alpha_{t}(1 - p_{t})^{\\gamma}\\log{p_{t}}$$\n",
    "\n",
    "$\\gamma$ controls the shape of the curve. The higher the value of $\\gamma$, the lower the loss for well-classified examples, so we could turn the attention of the model more towards ‘hard-to-classify examples. FL gives high weights to the rare class and small weights to the dominating or common class. These weights are referred to as $\\alpha$.\n",
    "\n",
    "\n",
    "## Code\n",
    "* `tf.keras.losses.BinaryCrossentropy`\n",
    "* `tfa.losses.SigmoidFocalCrossEntropy` -->"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "425e484c",
   "metadata": {
    "papermill": {
     "duration": 0.027363,
     "end_time": "2023-10-15T17:00:36.357688",
     "exception": false,
     "start_time": "2023-10-15T17:00:36.330325",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Build Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bb08b290",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:36.418008Z",
     "iopub.status.busy": "2023-10-15T17:00:36.417584Z",
     "iopub.status.idle": "2023-10-15T17:00:36.483421Z",
     "shell.execute_reply": "2023-10-15T17:00:36.482542Z"
    },
    "papermill": {
     "duration": 0.100381,
     "end_time": "2023-10-15T17:00:36.485225",
     "exception": false,
     "start_time": "2023-10-15T17:00:36.384844",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from keras_cv_attention_models import efficientnet\n",
    "\n",
    "def build_model(model_name=CFG.model_name,\n",
    "                loss_name=CFG.loss,\n",
    "                dim=CFG.img_size,\n",
    "                compile_model=True,\n",
    "                include_top=False):         \n",
    "    \n",
    "    # Define backbone\n",
    "    base = getattr(efficientnet, model_name)(input_shape=(*dim,3),\n",
    "                                    pretrained='imagenet',\n",
    "                                    num_classes=0) # get base model (efficientnet), use imgnet weights\n",
    "\n",
    "    inp = base.inputs\n",
    "    x = base.output\n",
    "    x = tf.keras.layers.GlobalAveragePooling2D()(x) # use GAP to get pooling result form conv outputs\n",
    "\n",
    "    # Define 'necks' for each head\n",
    "    x_bowel = tf.keras.layers.Dense(32, activation='silu')(x)\n",
    "    x_extra = tf.keras.layers.Dense(32, activation='silu')(x)\n",
    "    x_liver = tf.keras.layers.Dense(32, activation='silu')(x)\n",
    "    x_kidney = tf.keras.layers.Dense(32, activation='silu')(x)\n",
    "    x_spleen = tf.keras.layers.Dense(32, activation='silu')(x)\n",
    "\n",
    "    # Define heads\n",
    "    out_bowel = tf.keras.layers.Dense(1, name='bowel', activation='sigmoid')(x_bowel) # use sigmoid to convert predictions to [0-1]\n",
    "    out_extra = tf.keras.layers.Dense(1, name='extra', activation='sigmoid')(x_extra) # use sigmoid to convert predictions to [0-1]\n",
    "    out_liver = tf.keras.layers.Dense(3, name='liver', activation='softmax')(x_liver) # use softmax for the liver head\n",
    "    out_kidney = tf.keras.layers.Dense(3, name='kidney', activation='softmax')(x_kidney) # use softmax for the kidney head\n",
    "    out_spleen = tf.keras.layers.Dense(3, name='spleen', activation='softmax')(x_spleen) # use softmax for the spleen head\n",
    "\n",
    "    # Combine outputs\n",
    "#     out = tf.keras.layers.Concatenate()([out_bowel, out_extra, \n",
    "#                                          out_liver, out_kidney, out_spleen])\n",
    "    out = [out_bowel, out_extra, out_liver, out_kidney, out_spleen]\n",
    "\n",
    "    # Create model\n",
    "    model = tf.keras.Model(inputs=inp, outputs=out)\n",
    "\n",
    "    \n",
    "    if compile_model:\n",
    "        # optimizer\n",
    "        opt = tf.keras.optimizers.Adam(learning_rate=0.0001)\n",
    "        # loss\n",
    "        loss = {\n",
    "            'bowel':tf.keras.losses.BinaryCrossentropy(label_smoothing=0.05),\n",
    "            'extra':tf.keras.losses.BinaryCrossentropy(label_smoothing=0.05),\n",
    "            'liver':tf.keras.losses.CategoricalCrossentropy(label_smoothing=0.05),\n",
    "            'kidney':tf.keras.losses.CategoricalCrossentropy(label_smoothing=0.05),\n",
    "            'spleen':tf.keras.losses.CategoricalCrossentropy(label_smoothing=0.05),\n",
    "        }\n",
    "        # metric\n",
    "        metrics = {\n",
    "            'bowel':['accuracy'],\n",
    "            'extra':['accuracy'],\n",
    "            'liver':['accuracy'],\n",
    "            'kidney':['accuracy'],\n",
    "            'spleen':['accuracy'],\n",
    "        }\n",
    "        # compile\n",
    "        model.compile(optimizer=opt,\n",
    "                      loss=loss,\n",
    "                      metrics=metrics)\n",
    "    return model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "307db594",
   "metadata": {
    "papermill": {
     "duration": 0.03757,
     "end_time": "2023-10-15T17:00:36.550412",
     "exception": false,
     "start_time": "2023-10-15T17:00:36.512842",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Model Check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "5091d2f6",
   "metadata": {
    "_kg_hide-output": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:00:36.638423Z",
     "iopub.status.busy": "2023-10-15T17:00:36.638092Z",
     "iopub.status.idle": "2023-10-15T17:01:02.349243Z",
     "shell.execute_reply": "2023-10-15T17:01:02.347912Z"
    },
    "papermill": {
     "duration": 25.751005,
     "end_time": "2023-10-15T17:01:02.351202",
     "exception": false,
     "start_time": "2023-10-15T17:00:36.600197",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://github.com/leondgarse/keras_efficientnet_v2/releases/download/effnetv1_pretrained/efficientnetv1-b0-imagenet.h5\n",
      "[Error] will not load weights, url not found or download failed: https://github.com/leondgarse/keras_efficientnet_v2/releases/download/effnetv1_pretrained/efficientnetv1-b0-imagenet.h5\n"
     ]
    }
   ],
   "source": [
    "tmp = build_model(CFG.model_name, dim=CFG.img_size, compile_model=True)\n",
    "# tmp.summary()  # too long"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbc97e74",
   "metadata": {
    "papermill": {
     "duration": 0.027146,
     "end_time": "2023-10-15T17:01:02.406358",
     "exception": false,
     "start_time": "2023-10-15T17:01:02.379212",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Learning-Rate Scheduler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "238dd7b2",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:01:02.463813Z",
     "iopub.status.busy": "2023-10-15T17:01:02.463473Z",
     "iopub.status.idle": "2023-10-15T17:01:02.750040Z",
     "shell.execute_reply": "2023-10-15T17:01:02.749196Z"
    },
    "papermill": {
     "duration": 0.31781,
     "end_time": "2023-10-15T17:01:02.752040",
     "exception": false,
     "start_time": "2023-10-15T17:01:02.434230",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_lr_callback(batch_size=8, plot=False):\n",
    "    lr_start   = 0.000005\n",
    "    lr_max     = 0.00000050 * REPLICAS * batch_size\n",
    "    lr_min     = 0.000001\n",
    "    lr_ramp_ep = 4\n",
    "    lr_sus_ep  = 0\n",
    "    lr_decay   = 0.8\n",
    "   \n",
    "    def lrfn(epoch):\n",
    "        if epoch < lr_ramp_ep:\n",
    "            lr = (lr_max - lr_start) / lr_ramp_ep * epoch + lr_start\n",
    "            \n",
    "        elif epoch < lr_ramp_ep + lr_sus_ep:\n",
    "            lr = lr_max\n",
    "            \n",
    "        elif CFG.scheduler=='exp':\n",
    "            lr = (lr_max - lr_min) * lr_decay**(epoch - lr_ramp_ep - lr_sus_ep) + lr_min\n",
    "            \n",
    "        elif CFG.scheduler=='cosine':\n",
    "            decay_total_epochs = CFG.epochs - lr_ramp_ep - lr_sus_ep + 3\n",
    "            decay_epoch_index = epoch - lr_ramp_ep - lr_sus_ep\n",
    "            phase = math.pi * decay_epoch_index / decay_total_epochs\n",
    "            cosine_decay = 0.4 * (1 + math.cos(phase))\n",
    "            lr = (lr_max - lr_min) * cosine_decay + lr_min\n",
    "        return lr\n",
    "    if plot:\n",
    "        plt.figure(figsize=(10,5))\n",
    "        plt.plot(np.arange(CFG.epochs), [lrfn(epoch) for epoch in np.arange(CFG.epochs)], marker='o')\n",
    "        plt.xlabel('epoch'); plt.ylabel('learnig rate')\n",
    "        plt.title('Learning Rate Scheduler')\n",
    "        plt.show()\n",
    "\n",
    "    lr_callback = tf.keras.callbacks.LearningRateScheduler(lrfn, verbose=False)\n",
    "    return lr_callback\n",
    "\n",
    "_=get_lr_callback(CFG.batch_size, plot=True )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75011048",
   "metadata": {
    "papermill": {
     "duration": 0.029316,
     "end_time": "2023-10-15T17:01:02.809779",
     "exception": false,
     "start_time": "2023-10-15T17:01:02.780463",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# **Wandb** Logger\n",
    "Log:\n",
    "* Best Score\n",
    "* Attention MAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "df970774",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:01:02.868508Z",
     "iopub.status.busy": "2023-10-15T17:01:02.867526Z",
     "iopub.status.idle": "2023-10-15T17:01:02.874795Z",
     "shell.execute_reply": "2023-10-15T17:01:02.873864Z"
    },
    "papermill": {
     "duration": 0.038329,
     "end_time": "2023-10-15T17:01:02.876457",
     "exception": false,
     "start_time": "2023-10-15T17:01:02.838128",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'# create directory to save gradcam imgs\\n!mkdir -p gradcam\\n\\n# intialize wandb run\\ndef wandb_init(fold):\\n    config = {k:v for k,v in dict(vars(CFG)).items() if \\'__\\' not in k}\\n    config.update({\"fold\":int(fold)})\\n    yaml.dump(config, open(f\\'/kaggle/working/config fold-{fold}.yaml\\', \\'w\\'),)\\n    config = yaml.load(open(f\\'/kaggle/working/config fold-{fold}.yaml\\', \\'r\\'), Loader=yaml.FullLoader)\\n    run    = wandb.init(project=\"rsna-atd-public\",\\n               name=f\"fold-{fold}|dim-{CFG.img_size[0]}x{CFG.img_size[1]}|model-{CFG.model_name}\",\\n               config=config,\\n               anonymous=anonymous,\\n               group=CFG.exp_name\\n                    )\\n    return run\\n\\ndef log_wandb(fold):\\n    \"log best result for error analysis\"\\n    # log values to wandb\\n    wandb.log({\\n               \\'best_acc\\': best_acc,\\n               \\'best_loss\\': best_loss,\\n               \\'best_epoch\\': best_epoch,\\n               \\'best_acc_bowel\\': best_acc_bowel,\\n               \\'best_acc_extra\\': best_acc_extra,\\n               \\'best_acc_liver\\': best_acc_liver,\\n               \\'best_acc_kidney\\': best_acc_kidney,\\n               \\'best_acc_spleen\\': best_acc_spleen,\\n              })'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"# create directory to save gradcam imgs\n",
    "!mkdir -p gradcam\n",
    "\n",
    "# intialize wandb run\n",
    "def wandb_init(fold):\n",
    "    config = {k:v for k,v in dict(vars(CFG)).items() if '__' not in k}\n",
    "    config.update({\"fold\":int(fold)})\n",
    "    yaml.dump(config, open(f'/kaggle/working/config fold-{fold}.yaml', 'w'),)\n",
    "    config = yaml.load(open(f'/kaggle/working/config fold-{fold}.yaml', 'r'), Loader=yaml.FullLoader)\n",
    "    run    = wandb.init(project=\"rsna-atd-public\",\n",
    "               name=f\"fold-{fold}|dim-{CFG.img_size[0]}x{CFG.img_size[1]}|model-{CFG.model_name}\",\n",
    "               config=config,\n",
    "               anonymous=anonymous,\n",
    "               group=CFG.exp_name\n",
    "                    )\n",
    "    return run\n",
    "\n",
    "def log_wandb(fold):\n",
    "    \"log best result for error analysis\"\n",
    "    # log values to wandb\n",
    "    wandb.log({\n",
    "               'best_acc': best_acc,\n",
    "               'best_loss': best_loss,\n",
    "               'best_epoch': best_epoch,\n",
    "               'best_acc_bowel': best_acc_bowel,\n",
    "               'best_acc_extra': best_acc_extra,\n",
    "               'best_acc_liver': best_acc_liver,\n",
    "               'best_acc_kidney': best_acc_kidney,\n",
    "               'best_acc_spleen': best_acc_spleen,\n",
    "              })\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0ab31535",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:01:02.934226Z",
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     "shell.execute_reply": "2023-10-15T17:01:03.081156Z"
    },
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     "duration": 0.179661,
     "end_time": "2023-10-15T17:01:03.084061",
     "exception": false,
     "start_time": "2023-10-15T17:01:02.904400",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import cv2\n",
    "import pydicom\n",
    "IMG_DIR = '/kaggle/tmp/'\n",
    "\n",
    "def standardize_pixel_array(dcm: pydicom.dataset.FileDataset) -> np.ndarray:\n",
    "    # Correct DICOM pixel_array if PixelRepresentation == 1.\n",
    "    pixel_array = dcm.pixel_array\n",
    "    if dcm.PixelRepresentation == 1:\n",
    "        bit_shift = dcm.BitsAllocated - dcm.BitsStored\n",
    "        dtype = pixel_array.dtype \n",
    "        new_array = (pixel_array << bit_shift).astype(dtype) >>  bit_shift\n",
    "        pixel_array = pydicom.pixel_data_handlers.util.apply_modality_lut(new_array, dcm)\n",
    "    return pixel_array\n",
    "\n",
    "def read_xray(path, fix_monochrome = True):\n",
    "    dicom = pydicom.dcmread(path)\n",
    "    data = standardize_pixel_array(dicom)\n",
    "    data = data - np.min(data)\n",
    "    data = data / (np.max(data) + 1e-5)\n",
    "    if fix_monochrome and dicom.PhotometricInterpretation == \"MONOCHROME1\":\n",
    "        data = 1.0 - data\n",
    "    return data\n",
    "\n",
    "def resize_and_save(file_path):\n",
    "    img = read_xray(file_path)\n",
    "    h, w = img.shape[:2]  # orig hw\n",
    "    img = cv2.resize(img, (CFG.resize_dim, CFG.resize_dim), cv2.INTER_LINEAR)\n",
    "    img = (img * 255).astype(np.uint8)\n",
    "    \n",
    "    sub_path = file_path.split(\"/\",4)[-1].split('.dcm')[0] + '.png'\n",
    "    infos = sub_path.split('/')\n",
    "    sub_path = file_path.split(\"/\",4)[-1].split('.dcm')[0] + '.png'\n",
    "    infos = sub_path.split('/')\n",
    "    pid = infos[-3]\n",
    "    sid = infos[-2]\n",
    "    iid = infos[-1]; iid = iid.replace('.png','')\n",
    "    new_path = os.path.join(IMG_DIR, sub_path)\n",
    "    os.makedirs(new_path.rsplit('/',1)[0], exist_ok=True)\n",
    "    cv2.imwrite(new_path, img)\n",
    "    return "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81f4d646",
   "metadata": {
    "papermill": {
     "duration": 0.027696,
     "end_time": "2023-10-15T17:01:03.140583",
     "exception": false,
     "start_time": "2023-10-15T17:01:03.112887",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## `WandbModelCheckpoint` and `WandbMetricsLogger`\n",
    "Newly released callbacks offers more flexibility in terms of customization and also they are compact comparing classic `WandbCallback` hence it easier to use. Here's a brief intro about them,\n",
    "\n",
    "* **WandbModelCheckpoint**: This callback saves model or weights using `tf.keras.callbacks.ModelCheckpoint`, hence we can harness the power of official tf callback to do so much more such log `tf.keras.Model` subclass model in TPU. \n",
    "\n",
    "* **WandbMetricsLogger**: This callback simply logs all the metrics and losses.\n",
    "\n",
    "* **WandbEvalCallback**: This one is even more special, we can use it to log model's prediction after certain epoch/frequency. We can use it to save segmentation mask, bounding boxes and gradcam within epochs to check intermediate result.\n",
    "\n",
    "For more details, check [here](https://docs.wandb.ai/ref/python/integrations/keras)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ef6a4464",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T17:01:03.198727Z",
     "iopub.status.busy": "2023-10-15T17:01:03.198371Z",
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     "shell.execute_reply": "2023-10-15T17:01:03.203339Z"
    },
    "papermill": {
     "duration": 0.037905,
     "end_time": "2023-10-15T17:01:03.205930",
     "exception": false,
     "start_time": "2023-10-15T17:01:03.168025",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\n# get wandb callbacks\\ndef get_wb_callbacks(fold):\\n    wb_ckpt = wandb.keras.WandbModelCheckpoint(filepath='fold-%i.h5'%fold, \\n                                               monitor='val_loss',\\n                                               verbose=CFG.verbose,\\n                                               save_best_only=True,\\n                                               save_weights_only=False,\\n                                               mode='min',)\\n    wb_metr = wandb.keras.WandbMetricsLogger()\\n    return [wb_ckpt, wb_metr]\""
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "# get wandb callbacks\n",
    "def get_wb_callbacks(fold):\n",
    "    wb_ckpt = wandb.keras.WandbModelCheckpoint(filepath='fold-%i.h5'%fold, \n",
    "                                               monitor='val_loss',\n",
    "                                               verbose=CFG.verbose,\n",
    "                                               save_best_only=True,\n",
    "                                               save_weights_only=False,\n",
    "                                               mode='min',)\n",
    "    wb_metr = wandb.keras.WandbMetricsLogger()\n",
    "    return [wb_ckpt, wb_metr]\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7416bad",
   "metadata": {
    "papermill": {
     "duration": 0.028039,
     "end_time": "2023-10-15T17:01:03.263099",
     "exception": false,
     "start_time": "2023-10-15T17:01:03.235060",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Train Model\n",
    "* Cross-Validation: 5 fold\n",
    "* **WandB** dashboard is shown end of the each fold. So we don't need to plot anything. We can select best model from here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "cbef6f0b",
   "metadata": {
    "_kg_hide-input": true,
    "_kg_hide-output": false,
    "execution": {
     "iopub.execute_input": "2023-10-15T17:01:03.322335Z",
     "iopub.status.busy": "2023-10-15T17:01:03.322016Z",
     "iopub.status.idle": "2023-10-15T18:43:18.202559Z",
     "shell.execute_reply": "2023-10-15T18:43:18.201636Z"
    },
    "papermill": {
     "duration": 6134.945025,
     "end_time": "2023-10-15T18:43:18.236208",
     "exception": false,
     "start_time": "2023-10-15T17:01:03.291183",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "########################################\n",
      "#### FOLD:  0\n",
      "#### IMAGE_SIZE: (256, 256) | MODEL_NAME: EfficientNetV1B0 | BATCH_SIZE: 4\n",
      "#### NUM_TRAIN: 9,817 | NUM_VALID: 2,212\n",
      "Downloading data from https://github.com/leondgarse/keras_efficientnet_v2/releases/download/effnetv1_pretrained/efficientnetv1-b0-imagenet.h5\n",
      "[Error] will not load weights, url not found or download failed: https://github.com/leondgarse/keras_efficientnet_v2/releases/download/effnetv1_pretrained/efficientnetv1-b0-imagenet.h5\n",
      "########################################\n",
      "Training...\n",
      "\n",
      "================= FOLD 0 RESULTS =================\n",
      ">>>> BEST Loss  : 3.410\n",
      ">>>> BEST Acc   : 0.745\n",
      ">>>> BEST Epoch : 8\n",
      "\n",
      "ORGAN Acc:\n",
      "  >>>> Bowel           : 0.658\n",
      "  >>>> Extravasation   : 0.728\n",
      "  >>>> Liver           : 0.881\n",
      "  >>>> Kidney          : 0.694\n",
      "  >>>> Spleen          : 0.763\n",
      "==================================================\n",
      "\n",
      "\n",
      "34.0[min]\n",
      "\n",
      "\n",
      "########################################\n",
      "#### FOLD:  1\n",
      "#### IMAGE_SIZE: (256, 256) | MODEL_NAME: EfficientNetV1B0 | BATCH_SIZE: 4\n",
      "#### NUM_TRAIN: 8,975 | NUM_VALID: 3,054\n",
      "Downloading data from https://github.com/leondgarse/keras_efficientnet_v2/releases/download/effnetv1_pretrained/efficientnetv1-b0-imagenet.h5\n",
      "[Error] will not load weights, url not found or download failed: https://github.com/leondgarse/keras_efficientnet_v2/releases/download/effnetv1_pretrained/efficientnetv1-b0-imagenet.h5\n",
      "########################################\n",
      "Training...\n",
      "\n",
      "================= FOLD 1 RESULTS =================\n",
      ">>>> BEST Loss  : 3.301\n",
      ">>>> BEST Acc   : 0.740\n",
      ">>>> BEST Epoch : 0\n",
      "\n",
      "ORGAN Acc:\n",
      "  >>>> Bowel           : 0.502\n",
      "  >>>> Extravasation   : 0.716\n",
      "  >>>> Liver           : 0.843\n",
      "  >>>> Kidney          : 0.915\n",
      "  >>>> Spleen          : 0.726\n",
      "==================================================\n",
      "\n",
      "\n",
      "33.0[min]\n",
      "\n",
      "\n",
      "########################################\n",
      "#### FOLD:  2\n",
      "#### IMAGE_SIZE: (256, 256) | MODEL_NAME: EfficientNetV1B0 | BATCH_SIZE: 4\n",
      "#### NUM_TRAIN: 9,012 | NUM_VALID: 3,017\n",
      "Downloading data from https://github.com/leondgarse/keras_efficientnet_v2/releases/download/effnetv1_pretrained/efficientnetv1-b0-imagenet.h5\n",
      "[Error] will not load weights, url not found or download failed: https://github.com/leondgarse/keras_efficientnet_v2/releases/download/effnetv1_pretrained/efficientnetv1-b0-imagenet.h5\n",
      "########################################\n",
      "Training...\n",
      "\n",
      "================= FOLD 2 RESULTS =================\n",
      ">>>> BEST Loss  : 3.841\n",
      ">>>> BEST Acc   : 0.672\n",
      ">>>> BEST Epoch : 0\n",
      "\n",
      "ORGAN Acc:\n",
      "  >>>> Bowel           : 0.451\n",
      "  >>>> Extravasation   : 0.705\n",
      "  >>>> Liver           : 0.870\n",
      "  >>>> Kidney          : 0.854\n",
      "  >>>> Spleen          : 0.477\n",
      "==================================================\n",
      "\n",
      "\n",
      "33.0[min]\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "scores = []\n",
    "\n",
    "for fold in np.arange(CFG.folds):\n",
    "    # Stop watch (start)\n",
    "    start_time = time.time()\n",
    "    \n",
    "    # ignore not selected folds\n",
    "    if fold not in CFG.selected_folds:\n",
    "        continue\n",
    "        \n",
    "    # init wandb\n",
    "    #if CFG.wandb:\n",
    "    #    run = wandb_init(fold)\n",
    "    #    wb_callbacks = get_wb_callbacks(fold)\n",
    "            \n",
    "    # train and valid dataframe\n",
    "    train_df = df[df[\"fold\"]!=fold]\n",
    "    valid_df = df[df[\"fold\"]==fold]\n",
    "    \n",
    "    # get image_paths and labels\n",
    "    train_paths = train_df.image_path.values; train_labels = train_df[CFG.target_col].values.astype(np.float32)\n",
    "    valid_paths = valid_df.image_path.values; valid_labels = valid_df[CFG.target_col].values.astype(np.float32)\n",
    "    ##test_paths  = test_df.image_path.values\n",
    "    \n",
    "    # shuffle train data\n",
    "    index = np.arange(len(train_df))\n",
    "    np.random.shuffle(index)\n",
    "    train_paths  = train_paths[index]\n",
    "    train_labels = train_labels[index]\n",
    "    \n",
    "    # min samples in debug mode\n",
    "    min_samples = CFG.batch_size*REPLICAS*2\n",
    "    \n",
    "    # for debug model run on small portion\n",
    "    if CFG.debug:\n",
    "        train_paths = train_paths[:min_samples]; train_labels = train_labels[:min_samples]\n",
    "        valid_paths = valid_paths[:min_samples]; valid_labels = valid_labels[:min_samples]\n",
    "    \n",
    "    # show message\n",
    "    print('#'*40); print('#### FOLD: ',fold)\n",
    "    print('#### IMAGE_SIZE: (%i, %i) | MODEL_NAME: %s | BATCH_SIZE: %i'%\n",
    "          (CFG.img_size[0],CFG.img_size[1],CFG.model_name,CFG.batch_size*REPLICAS))\n",
    "    \n",
    "    # data stat\n",
    "    num_train = len(train_paths)\n",
    "    num_valid = len(valid_paths)\n",
    "    #if CFG.wandb:\n",
    "    #    wandb.log({'num_train':num_train,\n",
    "    #               'num_valid':num_valid})\n",
    "    print('#### NUM_TRAIN: {:,} | NUM_VALID: {:,}'.format(num_train, num_valid))\n",
    "    \n",
    "    # build model\n",
    "    K.clear_session()\n",
    "    with strategy.scope():\n",
    "        model = build_model(CFG.model_name, dim=CFG.img_size, compile_model=True)\n",
    "\n",
    "    # build dataset\n",
    "    cache = 1 if 'TPU' in CFG.device else 0\n",
    "    train_ds = build_dataset(train_paths, train_labels, cache=cache, batch_size=CFG.batch_size*REPLICAS,\n",
    "                   repeat=True, shuffle=True, augment=CFG.augment)\n",
    "    val_ds = build_dataset(valid_paths, valid_labels, cache=cache, batch_size=CFG.batch_size*REPLICAS,\n",
    "                   repeat=False, shuffle=False, augment=False)\n",
    "    print('#'*40)   \n",
    "    \n",
    "    # callbacks\n",
    "    callbacks = []\n",
    "    ## save best model after each fold\n",
    "    sv = tf.keras.callbacks.ModelCheckpoint(\n",
    "        'fold-%i.h5'%fold, monitor='val_loss', verbose=CFG.verbose, save_best_only=True,\n",
    "        save_weights_only=False, mode='min', save_freq='epoch')\n",
    "    callbacks +=[sv]\n",
    "    ## lr-scheduler\n",
    "    callbacks += [get_lr_callback(CFG.batch_size)]\n",
    "    ## wandb callbacks\n",
    "    #if CFG.wandb:\n",
    "    #    callbacks += wb_callbacks\n",
    "        \n",
    "    # train\n",
    "    print('Training...')\n",
    "    history = model.fit(\n",
    "        train_ds, \n",
    "        epochs=CFG.epochs if not CFG.debug else 2, \n",
    "        callbacks = callbacks, \n",
    "        steps_per_epoch=len(train_paths)/CFG.batch_size//REPLICAS,\n",
    "        validation_data=val_ds, \n",
    "        verbose=CFG.verbose\n",
    "    )\n",
    "    \n",
    "    # store best results\n",
    "    best_epoch = np.argmin(history.history['val_loss'])\n",
    "    best_loss = history.history['val_loss'][best_epoch]\n",
    "    best_acc_bowel = history.history['val_bowel_accuracy'][best_epoch]\n",
    "    best_acc_extra = history.history['val_extra_accuracy'][best_epoch]\n",
    "    best_acc_liver = history.history['val_liver_accuracy'][best_epoch]\n",
    "    best_acc_kidney = history.history['val_kidney_accuracy'][best_epoch]\n",
    "    best_acc_spleen = history.history['val_spleen_accuracy'][best_epoch]\n",
    "\n",
    "    # Find mean accuracy\n",
    "    best_acc = np.mean([best_acc_bowel, best_acc_extra, \n",
    "                        best_acc_liver, best_acc_kidney, best_acc_spleen])\n",
    "\n",
    "    print(f'\\n{\"=\"*17} FOLD {fold} RESULTS {\"=\"*17}')\n",
    "    print(f'>>>> BEST Loss  : {best_loss:.3f}\\n>>>> BEST Acc   : {best_acc:.3f}\\n>>>> BEST Epoch : {best_epoch}\\n')\n",
    "    print('ORGAN Acc:')\n",
    "    print(f'  >>>> {\"Bowel\".ljust(15)} : {best_acc_bowel:.3f}')\n",
    "    print(f'  >>>> {\"Extravasation\".ljust(15)} : {best_acc_extra:.3f}')\n",
    "    print(f'  >>>> {\"Liver\".ljust(15)} : {best_acc_liver:.3f}')\n",
    "    print(f'  >>>> {\"Kidney\".ljust(15)} : {best_acc_kidney:.3f}')\n",
    "    print(f'  >>>> {\"Spleen\".ljust(15)} : {best_acc_spleen:.3f}')\n",
    "\n",
    "    print(f'{\"=\"*50}\\n\\n')\n",
    "\n",
    "    scores.append([best_loss, best_acc, \n",
    "                   best_acc_bowel, best_acc_extra, \n",
    "                   best_acc_liver, best_acc_kidney, best_acc_spleen])\n",
    "    \n",
    "    #Stop watch (stop)\n",
    "    stop_time = time.time()\n",
    "    process_time = (stop_time - start_time) // 60\n",
    "    print(f\"{process_time}[min]\\n\\n\")\n",
    "    \n",
    "    # log best result on wandb & plot\n",
    "    #if CFG.wandb:\n",
    "    #    log_wandb(fold) # log\n",
    "    #    wandb.run.finish() # finish the run\n",
    "    #    display(ipd.IFrame(run.url, width=1080, height=720)) # show wandb dashboard"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "368988f4",
   "metadata": {
    "papermill": {
     "duration": 0.028947,
     "end_time": "2023-10-15T18:43:18.294330",
     "exception": false,
     "start_time": "2023-10-15T18:43:18.265383",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Calculate OOF Score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2396bc46",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:18.354779Z",
     "iopub.status.busy": "2023-10-15T18:43:18.354116Z",
     "iopub.status.idle": "2023-10-15T18:43:18.361618Z",
     "shell.execute_reply": "2023-10-15T18:43:18.360636Z"
    },
    "papermill": {
     "duration": 0.040359,
     "end_time": "2023-10-15T18:43:18.363444",
     "exception": false,
     "start_time": "2023-10-15T18:43:18.323085",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=============== OVERALL OOF RESULTS ===============\n",
      ">>>> OOF BEST Loss : 3.517\n",
      ">>>> OOF BEST Acc  : 0.719\n",
      "\n",
      "ORGAN OOF Acc:\n",
      "  >>>> Bowel           : 0.537\n",
      "  >>>> Extravasation   : 0.716\n",
      "  >>>> Liver           : 0.865\n",
      "  >>>> Kidney          : 0.821\n",
      "  >>>> Spleen          : 0.655\n",
      "==================================================\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# overall oof pF1\n",
    "oof_loss, oof_acc, oof_acc_bowel, oof_acc_extra, oof_acc_liver, oof_acc_kidney, oof_acc_spleen = np.array(scores).mean(axis=0)\n",
    "\n",
    "print(f'\\n{\"=\"*15} OVERALL OOF RESULTS {\"=\"*15}')\n",
    "print(f'>>>> OOF BEST Loss : {oof_loss:.3f}\\n>>>> OOF BEST Acc  : {oof_acc:.3f}\\n')\n",
    "print('ORGAN OOF Acc:')\n",
    "print(f'  >>>> {\"Bowel\".ljust(15)} : {oof_acc_bowel:.3f}')\n",
    "print(f'  >>>> {\"Extravasation\".ljust(15)} : {oof_acc_extra:.3f}')\n",
    "print(f'  >>>> {\"Liver\".ljust(15)} : {oof_acc_liver:.3f}')\n",
    "print(f'  >>>> {\"Kidney\".ljust(15)} : {oof_acc_kidney:.3f}')\n",
    "print(f'  >>>> {\"Spleen\".ljust(15)} : {oof_acc_spleen:.3f}')\n",
    "print(f'{\"=\"*50}\\n')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "7a31a966",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:18.422694Z",
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     "iopub.status.idle": "2023-10-15T18:43:19.175902Z",
     "shell.execute_reply": "2023-10-15T18:43:19.174961Z"
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    "papermill": {
     "duration": 0.78649,
     "end_time": "2023-10-15T18:43:19.178385",
     "exception": false,
     "start_time": "2023-10-15T18:43:18.391895",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25300"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#メモリの解放 modelのtrain分\n",
    "del df, train_df, train_labels, valid_df, valid_labels, fold_df, train_paths, train_idx\n",
    "gc.collect()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f5d5bb6",
   "metadata": {
    "papermill": {
     "duration": 0.029083,
     "end_time": "2023-10-15T18:43:19.237033",
     "exception": false,
     "start_time": "2023-10-15T18:43:19.207950",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<h1>Prepare Test dataset</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e38de7d7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:19.301111Z",
     "iopub.status.busy": "2023-10-15T18:43:19.300489Z",
     "iopub.status.idle": "2023-10-15T18:43:19.306643Z",
     "shell.execute_reply": "2023-10-15T18:43:19.305773Z"
    },
    "papermill": {
     "duration": 0.042476,
     "end_time": "2023-10-15T18:43:19.308371",
     "exception": false,
     "start_time": "2023-10-15T18:43:19.265895",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'#test_folder metadata !!!!NOTE THIS IS FOR TEST DATA !!!!\\nimport itertools\\n\\n#get patients\\n#patients = [patient for patient in os.listdir(\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images\") if os.path.isdir(\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images/\"+patient)]\\npatients = [patient for patient in os.listdir(\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images\")]\\nprint(\"test_patient_id:\", patients)\\n\\n#get series\\nseries = [os.listdir(\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images/\" + patient)[0] for patient in patients]\\n#series = list(itertools.chain.from_iterable(series)) #detouch double brackets\\nprint(\"test_series_id:\", series)\\n\\n#get img\\nimgs = [os.listdir(f\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images/{patients[i]}/{series[i]}\")[0] for i in range(len(patients))]\\n#imgs = list(itertools.chain.from_iterable(imgs)) #detouch double brackets\\nprint(\"test_img_id:\", imgs)\\n\\n#make path\\ntest_path=[f\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images/{patients[i]}/{series[i]}/{imgs[i]}\" for i in range(len(patients))]\\n\\ntest_df = pd.DataFrame({\\n    \"patient_id\": patients,\\n    \"series_id\": series,\\n    \"image\": imgs,\\n    \"path\": test_path\\n})\\ntest_df'"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"#test_folder metadata !!!!NOTE THIS IS FOR TEST DATA !!!!\n",
    "import itertools\n",
    "\n",
    "#get patients\n",
    "#patients = [patient for patient in os.listdir(\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images\") if os.path.isdir(\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images/\"+patient)]\n",
    "patients = [patient for patient in os.listdir(\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images\")]\n",
    "print(\"test_patient_id:\", patients)\n",
    "\n",
    "#get series\n",
    "series = [os.listdir(\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images/\" + patient)[0] for patient in patients]\n",
    "#series = list(itertools.chain.from_iterable(series)) #detouch double brackets\n",
    "print(\"test_series_id:\", series)\n",
    "\n",
    "#get img\n",
    "imgs = [os.listdir(f\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images/{patients[i]}/{series[i]}\")[0] for i in range(len(patients))]\n",
    "#imgs = list(itertools.chain.from_iterable(imgs)) #detouch double brackets\n",
    "print(\"test_img_id:\", imgs)\n",
    "\n",
    "#make path\n",
    "test_path=[f\"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images/{patients[i]}/{series[i]}/{imgs[i]}\" for i in range(len(patients))]\n",
    "\n",
    "test_df = pd.DataFrame({\n",
    "    \"patient_id\": patients,\n",
    "    \"series_id\": series,\n",
    "    \"image\": imgs,\n",
    "    \"path\": test_path\n",
    "})\n",
    "test_df\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4b6381ac",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:19.368471Z",
     "iopub.status.busy": "2023-10-15T18:43:19.368183Z",
     "iopub.status.idle": "2023-10-15T18:43:19.386624Z",
     "shell.execute_reply": "2023-10-15T18:43:19.385833Z"
    },
    "papermill": {
     "duration": 0.051239,
     "end_time": "2023-10-15T18:43:19.388373",
     "exception": false,
     "start_time": "2023-10-15T18:43:19.337134",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#prepare dataset rev 2023/10/1\n",
    "file_path = \"/kaggle/input/rsna-2023-abdominal-trauma-detection/test_images\"\n",
    "\n",
    "#get patient_id\n",
    "patients = [patient for patient in os.listdir(file_path)]\n",
    "\n",
    "#get series id\n",
    "series_combi = []\n",
    "for patient in patients:\n",
    "    for series in os.listdir(file_path + \"/\" + patient):\n",
    "        series_combi.append([patient, series])\n",
    "\n",
    "#get image id\n",
    "img_trio = []\n",
    "for combi in series_combi:\n",
    "    for img in os.listdir(file_path + \"/\" + combi[0] + \"/\" + combi[1]):\n",
    "        if (combi[0]==\"3124\") & (combi[1] == \"5842\") & (img == \"514.dcm\"): continue \n",
    "        else: img_trio.append([combi[0], combi[1], img])\n",
    "\n",
    "#make path to images\n",
    "test_image_path = [f\"{file_path}/{data_trio[0]}/{data_trio[1]}/{data_trio[2]}\" for data_trio in img_trio]\n",
    "\n",
    "# sum up dataframe\n",
    "test_df = pd.DataFrame(img_trio, columns=[\"patient_id\", \"series_id\", \"image\"])\n",
    "test_df[\"path\"] = test_image_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "c5d220f9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:19.447742Z",
     "iopub.status.busy": "2023-10-15T18:43:19.447484Z",
     "iopub.status.idle": "2023-10-15T18:43:19.882606Z",
     "shell.execute_reply": "2023-10-15T18:43:19.881610Z"
    },
    "papermill": {
     "duration": 0.467893,
     "end_time": "2023-10-15T18:43:19.884467",
     "exception": false,
     "start_time": "2023-10-15T18:43:19.416574",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 3/3 [00:00<00:00, 1647.41it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>series_id</th>\n",
       "      <th>image</th>\n",
       "      <th>path</th>\n",
       "      <th>arr_img_path</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63706</td>\n",
       "      <td>39279</td>\n",
       "      <td>30.dcm</td>\n",
       "      <td>/kaggle/input/rsna-2023-abdominal-trauma-detec...</td>\n",
       "      <td>/kaggle/tmp/test_images/63706/39279/30.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50046</td>\n",
       "      <td>24574</td>\n",
       "      <td>30.dcm</td>\n",
       "      <td>/kaggle/input/rsna-2023-abdominal-trauma-detec...</td>\n",
       "      <td>/kaggle/tmp/test_images/50046/24574/30.png</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48843</td>\n",
       "      <td>62825</td>\n",
       "      <td>30.dcm</td>\n",
       "      <td>/kaggle/input/rsna-2023-abdominal-trauma-detec...</td>\n",
       "      <td>/kaggle/tmp/test_images/48843/62825/30.png</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  patient_id series_id   image  \\\n",
       "0      63706     39279  30.dcm   \n",
       "1      50046     24574  30.dcm   \n",
       "2      48843     62825  30.dcm   \n",
       "\n",
       "                                                path  \\\n",
       "0  /kaggle/input/rsna-2023-abdominal-trauma-detec...   \n",
       "1  /kaggle/input/rsna-2023-abdominal-trauma-detec...   \n",
       "2  /kaggle/input/rsna-2023-abdominal-trauma-detec...   \n",
       "\n",
       "                                 arr_img_path  \n",
       "0  /kaggle/tmp/test_images/63706/39279/30.png  \n",
       "1  /kaggle/tmp/test_images/50046/24574/30.png  \n",
       "2  /kaggle/tmp/test_images/48843/62825/30.png  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#%%time\n",
    "from joblib import Parallel, delayed\n",
    "file_paths = test_df.path\n",
    "_ = Parallel(n_jobs=2,backend='threading')(delayed(resize_and_save)(file_path)\\\n",
    "                                                  for file_path in tqdm(file_paths, leave=True, position=0))\n",
    "del _; gc.collect()\n",
    "\n",
    "path_arr_img = [f\"/kaggle/tmp/test_images/{element[0]}/{element[1]}/{element[2]}\".replace(\".dcm\", \".png\") for element in img_trio]\n",
    "arr_df = pd.DataFrame(path_arr_img, columns=[\"arr_img_path\"])\n",
    "\n",
    "test_df = pd.concat([test_df, arr_df], axis=1)\n",
    "test_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "5bca3aae",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:19.946863Z",
     "iopub.status.busy": "2023-10-15T18:43:19.946538Z",
     "iopub.status.idle": "2023-10-15T18:43:21.653936Z",
     "shell.execute_reply": "2023-10-15T18:43:21.652933Z"
    },
    "papermill": {
     "duration": 1.741182,
     "end_time": "2023-10-15T18:43:21.655657",
     "exception": false,
     "start_time": "2023-10-15T18:43:19.914475",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 2s 2s/step\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[array([[0.6094989 ],\n",
       "        [0.5297028 ],\n",
       "        [0.53102374]], dtype=float32),\n",
       " array([[0.6685055],\n",
       "        [0.653473 ],\n",
       "        [0.5529876]], dtype=float32),\n",
       " array([[0.84341794, 0.07286615, 0.08371595],\n",
       "        [0.8459826 , 0.06228162, 0.09173577],\n",
       "        [0.7955312 , 0.1549578 , 0.0495109 ]], dtype=float32),\n",
       " array([[0.8174821 , 0.13491723, 0.04760061],\n",
       "        [0.72506505, 0.22753541, 0.04739952],\n",
       "        [0.796256  , 0.1765214 , 0.02722263]], dtype=float32),\n",
       " array([[0.5156499 , 0.20391595, 0.2804341 ],\n",
       "        [0.6626995 , 0.07117003, 0.26613045],\n",
       "        [0.80449945, 0.03842571, 0.1570749 ]], dtype=float32)]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_ds = build_dataset(test_df.arr_img_path,augment=False, repeat=False)\n",
    "pred_results = model.predict(test_ds)\n",
    "pred_results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "271723b3",
   "metadata": {
    "papermill": {
     "duration": 0.03024,
     "end_time": "2023-10-15T18:43:21.716795",
     "exception": false,
     "start_time": "2023-10-15T18:43:21.686555",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "<h4>summarize same patient pred results</h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f386abcf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:21.778919Z",
     "iopub.status.busy": "2023-10-15T18:43:21.778329Z",
     "iopub.status.idle": "2023-10-15T18:43:21.797494Z",
     "shell.execute_reply": "2023-10-15T18:43:21.796478Z"
    },
    "papermill": {
     "duration": 0.053097,
     "end_time": "2023-10-15T18:43:21.799369",
     "exception": false,
     "start_time": "2023-10-15T18:43:21.746272",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>series_id</th>\n",
       "      <th>image</th>\n",
       "      <th>path</th>\n",
       "      <th>arr_img_path</th>\n",
       "      <th>bowel_injury</th>\n",
       "      <th>extravasation_injury</th>\n",
       "      <th>kidney_healthy</th>\n",
       "      <th>kidney_low</th>\n",
       "      <th>kidney_high</th>\n",
       "      <th>liver_healthy</th>\n",
       "      <th>liver_low</th>\n",
       "      <th>liver_high</th>\n",
       "      <th>spleen_healthy</th>\n",
       "      <th>spleen_low</th>\n",
       "      <th>spleen_high</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63706</td>\n",
       "      <td>39279</td>\n",
       "      <td>30.dcm</td>\n",
       "      <td>/kaggle/input/rsna-2023-abdominal-trauma-detec...</td>\n",
       "      <td>/kaggle/tmp/test_images/63706/39279/30.png</td>\n",
       "      <td>0.609499</td>\n",
       "      <td>0.668505</td>\n",
       "      <td>0.843418</td>\n",
       "      <td>0.072866</td>\n",
       "      <td>0.083716</td>\n",
       "      <td>0.817482</td>\n",
       "      <td>0.134917</td>\n",
       "      <td>0.047601</td>\n",
       "      <td>0.515650</td>\n",
       "      <td>0.203916</td>\n",
       "      <td>0.280434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50046</td>\n",
       "      <td>24574</td>\n",
       "      <td>30.dcm</td>\n",
       "      <td>/kaggle/input/rsna-2023-abdominal-trauma-detec...</td>\n",
       "      <td>/kaggle/tmp/test_images/50046/24574/30.png</td>\n",
       "      <td>0.529703</td>\n",
       "      <td>0.653473</td>\n",
       "      <td>0.845983</td>\n",
       "      <td>0.062282</td>\n",
       "      <td>0.091736</td>\n",
       "      <td>0.725065</td>\n",
       "      <td>0.227535</td>\n",
       "      <td>0.047400</td>\n",
       "      <td>0.662700</td>\n",
       "      <td>0.071170</td>\n",
       "      <td>0.266130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48843</td>\n",
       "      <td>62825</td>\n",
       "      <td>30.dcm</td>\n",
       "      <td>/kaggle/input/rsna-2023-abdominal-trauma-detec...</td>\n",
       "      <td>/kaggle/tmp/test_images/48843/62825/30.png</td>\n",
       "      <td>0.531024</td>\n",
       "      <td>0.552988</td>\n",
       "      <td>0.795531</td>\n",
       "      <td>0.154958</td>\n",
       "      <td>0.049511</td>\n",
       "      <td>0.796256</td>\n",
       "      <td>0.176521</td>\n",
       "      <td>0.027223</td>\n",
       "      <td>0.804499</td>\n",
       "      <td>0.038426</td>\n",
       "      <td>0.157075</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  patient_id series_id   image  \\\n",
       "0      63706     39279  30.dcm   \n",
       "1      50046     24574  30.dcm   \n",
       "2      48843     62825  30.dcm   \n",
       "\n",
       "                                                path  \\\n",
       "0  /kaggle/input/rsna-2023-abdominal-trauma-detec...   \n",
       "1  /kaggle/input/rsna-2023-abdominal-trauma-detec...   \n",
       "2  /kaggle/input/rsna-2023-abdominal-trauma-detec...   \n",
       "\n",
       "                                 arr_img_path  bowel_injury  \\\n",
       "0  /kaggle/tmp/test_images/63706/39279/30.png      0.609499   \n",
       "1  /kaggle/tmp/test_images/50046/24574/30.png      0.529703   \n",
       "2  /kaggle/tmp/test_images/48843/62825/30.png      0.531024   \n",
       "\n",
       "   extravasation_injury  kidney_healthy  kidney_low  kidney_high  \\\n",
       "0              0.668505        0.843418    0.072866     0.083716   \n",
       "1              0.653473        0.845983    0.062282     0.091736   \n",
       "2              0.552988        0.795531    0.154958     0.049511   \n",
       "\n",
       "   liver_healthy  liver_low  liver_high  spleen_healthy  spleen_low  \\\n",
       "0       0.817482   0.134917    0.047601        0.515650    0.203916   \n",
       "1       0.725065   0.227535    0.047400        0.662700    0.071170   \n",
       "2       0.796256   0.176521    0.027223        0.804499    0.038426   \n",
       "\n",
       "   spleen_high  \n",
       "0     0.280434  \n",
       "1     0.266130  \n",
       "2     0.157075  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#read pred_results by numpy\n",
    "pred_results = np.concatenate([pred_results[0], pred_results[1], pred_results[2], pred_results[3], pred_results[4]], axis=1)\n",
    "pred_results.T\n",
    "\n",
    "#convert from numpy to dataframe\n",
    "pred_df = pd.DataFrame(pred_results, columns=CFG.target_col)\n",
    "pred_df = pd.concat([test_df, pred_df], axis=1)\n",
    "\n",
    "pred_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "1891bba8",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "patinetID:63706\n",
      "patinetID:50046\n",
      "patinetID:48843\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bowel_injury</th>\n",
       "      <th>extravasation_injury</th>\n",
       "      <th>kidney_healthy</th>\n",
       "      <th>kidney_low</th>\n",
       "      <th>kidney_high</th>\n",
       "      <th>liver_healthy</th>\n",
       "      <th>liver_low</th>\n",
       "      <th>liver_high</th>\n",
       "      <th>spleen_healthy</th>\n",
       "      <th>spleen_low</th>\n",
       "      <th>spleen_high</th>\n",
       "      <th>patient_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.609499</td>\n",
       "      <td>0.668505</td>\n",
       "      <td>0.843418</td>\n",
       "      <td>0.072866</td>\n",
       "      <td>0.083716</td>\n",
       "      <td>0.817482</td>\n",
       "      <td>0.134917</td>\n",
       "      <td>0.047601</td>\n",
       "      <td>0.515650</td>\n",
       "      <td>0.203916</td>\n",
       "      <td>0.280434</td>\n",
       "      <td>63706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.529703</td>\n",
       "      <td>0.653473</td>\n",
       "      <td>0.845983</td>\n",
       "      <td>0.062282</td>\n",
       "      <td>0.091736</td>\n",
       "      <td>0.725065</td>\n",
       "      <td>0.227535</td>\n",
       "      <td>0.047400</td>\n",
       "      <td>0.662700</td>\n",
       "      <td>0.071170</td>\n",
       "      <td>0.266130</td>\n",
       "      <td>50046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.531024</td>\n",
       "      <td>0.552988</td>\n",
       "      <td>0.795531</td>\n",
       "      <td>0.154958</td>\n",
       "      <td>0.049511</td>\n",
       "      <td>0.796256</td>\n",
       "      <td>0.176521</td>\n",
       "      <td>0.027223</td>\n",
       "      <td>0.804499</td>\n",
       "      <td>0.038426</td>\n",
       "      <td>0.157075</td>\n",
       "      <td>48843</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   bowel_injury  extravasation_injury  kidney_healthy  kidney_low  \\\n",
       "0      0.609499              0.668505        0.843418    0.072866   \n",
       "1      0.529703              0.653473        0.845983    0.062282   \n",
       "2      0.531024              0.552988        0.795531    0.154958   \n",
       "\n",
       "   kidney_high  liver_healthy  liver_low  liver_high  spleen_healthy  \\\n",
       "0     0.083716       0.817482   0.134917    0.047601        0.515650   \n",
       "1     0.091736       0.725065   0.227535    0.047400        0.662700   \n",
       "2     0.049511       0.796256   0.176521    0.027223        0.804499   \n",
       "\n",
       "   spleen_low  spleen_high patient_id  \n",
       "0    0.203916     0.280434      63706  \n",
       "1    0.071170     0.266130      50046  \n",
       "2    0.038426     0.157075      48843  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sumup every patient's image to one\n",
    "sumup_score = []\n",
    "for patient in patients:\n",
    "    print(f\"patinetID:{patient}\")\n",
    "    pred_seg = pred_df[pred_df[\"patient_id\"] == str(patient)]\n",
    "    pred_seg = pred_seg[CFG.target_col].to_numpy()\n",
    "    m_score = np.max(pred_seg, axis=0)\n",
    "    sumup_score.append(m_score)\n",
    "\n",
    "# 1患者対複数画像判定のDFから1患者対1判定のDFへ変換\n",
    "unique_patient_df = pd.DataFrame(sumup_score, columns=CFG.target_col)\n",
    "unique_patient_df[\"patient_id\"] = patients\n",
    "\n",
    "unique_patient_df #中身確認用"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "e74b4095",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:21.947587Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#function adjust multivalue prediction\n",
    "def multivalue_adjuster(healty_score, low_score, high_score):\n",
    "    if (high_score + low_score) > 1:\n",
    "        low_score = 1 - high_score\n",
    "        healthy_score = 0\n",
    "    else:\n",
    "        healthy_score = 1 - (high_score + low_score)\n",
    "    return low_score, healty_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "15099e82",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:22.014702Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    63706\n",
      "1    50046\n",
      "2    48843\n",
      "Name: patient_id, dtype: object\n"
     ]
    }
   ],
   "source": [
    "#patient_id\n",
    "patient_df = unique_patient_df.patient_id\n",
    "print(patient_df)\n",
    "\n",
    "#binary_opposition\n",
    "bowel_opposition_array = []\n",
    "extravasation_opposition_array = []\n",
    "\n",
    "for i in range(len(patients)):\n",
    "    bowel_opposition_array.append(1 - unique_patient_df.loc[i, \"bowel_injury\"])\n",
    "    extravasation_opposition_array.append(1 - unique_patient_df.loc[i, \"extravasation_injury\"])\n",
    "\n",
    "\n",
    "bowel_opposition_df = pd.DataFrame(bowel_opposition_array)\n",
    "extravasation_opposition_df = pd.DataFrame(extravasation_opposition_array)\n",
    "\n",
    "#binary\n",
    "bowel_df = pd.DataFrame(unique_patient_df.bowel_injury)\n",
    "extravasation_df = pd.DataFrame(unique_patient_df.extravasation_injury)\n",
    "\n",
    "#multi_value_low_health\n",
    "kidney_health_array = []\n",
    "kidney_low_array = []\n",
    "liver_health_array = []\n",
    "liver_low_array = []\n",
    "spleen_health_array = []\n",
    "spleen_low_array = []\n",
    "\n",
    "temp_kidney_set = unique_patient_df.loc[:, CFG.target_col[2:5]].values.tolist()\n",
    "temp_liver_set = unique_patient_df.loc[:, CFG.target_col[5:8]].values.tolist()\n",
    "temp_spleen_set = unique_patient_df.loc[:, CFG.target_col[8:11]].values.tolist()\n",
    "\n",
    "\n",
    "#kidney\n",
    "for i in range(len(patients)):\n",
    "    \n",
    "    #kidney\n",
    "    low_score, healthy_score = multivalue_adjuster(temp_kidney_set[i][0], temp_kidney_set[i][1], temp_kidney_set[i][2])\n",
    "    kidney_low_array.append(low_score); kidney_health_array.append(healthy_score)\n",
    "    \n",
    "    #liver\n",
    "    low_score, healthy_score = multivalue_adjuster(temp_liver_set[i][0], temp_liver_set[i][1], temp_liver_set[i][2])\n",
    "    liver_low_array.append(low_score); liver_health_array.append(healthy_score)\n",
    "    \n",
    "    #spleen\n",
    "    low_score, healthy_score = multivalue_adjuster(temp_spleen_set[i][0], temp_spleen_set[i][1], temp_spleen_set[i][2])\n",
    "    spleen_low_array.append(low_score); spleen_health_array.append(healthy_score)\n",
    "    \n",
    "\"\"\"    for j in CFG.target_col[2:11]:\n",
    "        low_score, healthy_score = multivalue_adjuster(unique_patient_df.loc[i, j], unique_patient_df[j+1][i], unique_patient_df[j+2][i])\n",
    "        if j == 5:\n",
    "            kidney_low_array.append(low_score)\n",
    "            kidney_health_array.append(healthy_score)\n",
    "        elif j==8:\n",
    "            liver_low_array.append(low_score)\n",
    "            liver_health_array.append(healthy_score)\n",
    "        else:\n",
    "            spleen_low_array.append(low_score)\n",
    "            spleen_health_array.append(healthy_score)\n",
    "\"\"\"\n",
    "#for i in range(len(patients)):\n",
    "#    if (pred_results[x][i] + pred_results[x][i]) > 0:\n",
    "#        kidney_health\n",
    "\n",
    "kidney_df = pd.DataFrame([kidney_health_array, kidney_low_array, unique_patient_df.kidney_high]).T\n",
    "liver_df = pd.DataFrame([liver_health_array, liver_low_array, unique_patient_df.liver_high]).T\n",
    "spleen_df = pd.DataFrame([spleen_health_array, spleen_low_array, unique_patient_df.spleen_high]).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "a96cc10c",
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    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:22.093750Z",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8434179425239563"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "temp_kidney_set[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "957f336e",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>patient_id</th>\n",
       "      <th>series_id</th>\n",
       "      <th>image</th>\n",
       "      <th>path</th>\n",
       "      <th>arr_img_path</th>\n",
       "      <th>bowel_injury</th>\n",
       "      <th>extravasation_injury</th>\n",
       "      <th>kidney_healthy</th>\n",
       "      <th>kidney_low</th>\n",
       "      <th>kidney_high</th>\n",
       "      <th>liver_healthy</th>\n",
       "      <th>liver_low</th>\n",
       "      <th>liver_high</th>\n",
       "      <th>spleen_healthy</th>\n",
       "      <th>spleen_low</th>\n",
       "      <th>spleen_high</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63706</td>\n",
       "      <td>39279</td>\n",
       "      <td>30.dcm</td>\n",
       "      <td>/kaggle/input/rsna-2023-abdominal-trauma-detec...</td>\n",
       "      <td>/kaggle/tmp/test_images/63706/39279/30.png</td>\n",
       "      <td>0.609499</td>\n",
       "      <td>0.668505</td>\n",
       "      <td>0.843418</td>\n",
       "      <td>0.072866</td>\n",
       "      <td>0.083716</td>\n",
       "      <td>0.817482</td>\n",
       "      <td>0.134917</td>\n",
       "      <td>0.047601</td>\n",
       "      <td>0.515650</td>\n",
       "      <td>0.203916</td>\n",
       "      <td>0.280434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50046</td>\n",
       "      <td>24574</td>\n",
       "      <td>30.dcm</td>\n",
       "      <td>/kaggle/input/rsna-2023-abdominal-trauma-detec...</td>\n",
       "      <td>/kaggle/tmp/test_images/50046/24574/30.png</td>\n",
       "      <td>0.529703</td>\n",
       "      <td>0.653473</td>\n",
       "      <td>0.845983</td>\n",
       "      <td>0.062282</td>\n",
       "      <td>0.091736</td>\n",
       "      <td>0.725065</td>\n",
       "      <td>0.227535</td>\n",
       "      <td>0.047400</td>\n",
       "      <td>0.662700</td>\n",
       "      <td>0.071170</td>\n",
       "      <td>0.266130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>48843</td>\n",
       "      <td>62825</td>\n",
       "      <td>30.dcm</td>\n",
       "      <td>/kaggle/input/rsna-2023-abdominal-trauma-detec...</td>\n",
       "      <td>/kaggle/tmp/test_images/48843/62825/30.png</td>\n",
       "      <td>0.531024</td>\n",
       "      <td>0.552988</td>\n",
       "      <td>0.795531</td>\n",
       "      <td>0.154958</td>\n",
       "      <td>0.049511</td>\n",
       "      <td>0.796256</td>\n",
       "      <td>0.176521</td>\n",
       "      <td>0.027223</td>\n",
       "      <td>0.804499</td>\n",
       "      <td>0.038426</td>\n",
       "      <td>0.157075</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  patient_id series_id   image  \\\n",
       "0      63706     39279  30.dcm   \n",
       "1      50046     24574  30.dcm   \n",
       "2      48843     62825  30.dcm   \n",
       "\n",
       "                                                path  \\\n",
       "0  /kaggle/input/rsna-2023-abdominal-trauma-detec...   \n",
       "1  /kaggle/input/rsna-2023-abdominal-trauma-detec...   \n",
       "2  /kaggle/input/rsna-2023-abdominal-trauma-detec...   \n",
       "\n",
       "                                 arr_img_path  bowel_injury  \\\n",
       "0  /kaggle/tmp/test_images/63706/39279/30.png      0.609499   \n",
       "1  /kaggle/tmp/test_images/50046/24574/30.png      0.529703   \n",
       "2  /kaggle/tmp/test_images/48843/62825/30.png      0.531024   \n",
       "\n",
       "   extravasation_injury  kidney_healthy  kidney_low  kidney_high  \\\n",
       "0              0.668505        0.843418    0.072866     0.083716   \n",
       "1              0.653473        0.845983    0.062282     0.091736   \n",
       "2              0.552988        0.795531    0.154958     0.049511   \n",
       "\n",
       "   liver_healthy  liver_low  liver_high  spleen_healthy  spleen_low  \\\n",
       "0       0.817482   0.134917    0.047601        0.515650    0.203916   \n",
       "1       0.725065   0.227535    0.047400        0.662700    0.071170   \n",
       "2       0.796256   0.176521    0.027223        0.804499    0.038426   \n",
       "\n",
       "   spleen_high  \n",
       "0     0.280434  \n",
       "1     0.266130  \n",
       "2     0.157075  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "301db774",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:22.244692Z",
     "iopub.status.busy": "2023-10-15T18:43:22.244391Z",
     "iopub.status.idle": "2023-10-15T18:43:22.250125Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "columns = [\"patient_id\", \"bowel_healthy\", \"bowel_injury\", \"extravasation_healthy\", \"extravasation_injury\", \"kidney_healthy\", \"kidney_low\", \"kidney_high\", \"liver_healthy\", \"liver_low\", \"liver_high\", \"spleen_healthy\", \"spleen_low\", \"spleen_high\"]\n",
    "\n",
    "pred_df = pd.concat([patient_df, bowel_df, bowel_opposition_df, extravasation_df, extravasation_opposition_df, kidney_df, liver_df, spleen_df],axis=1)\n",
    "pred_df.columns = columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "5889c7a1",
   "metadata": {
    "execution": {
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    },
    "papermill": {
     "duration": 0.040544,
     "end_time": "2023-10-15T18:43:22.321876",
     "exception": false,
     "start_time": "2023-10-15T18:43:22.281332",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "pred_df.to_csv(\"/kaggle/working/submission.csv\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d142ac5",
   "metadata": {
    "papermill": {
     "duration": 0.030638,
     "end_time": "2023-10-15T18:43:22.382313",
     "exception": false,
     "start_time": "2023-10-15T18:43:22.351675",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Remove Files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "4b79282c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:22.446164Z",
     "iopub.status.busy": "2023-10-15T18:43:22.445797Z",
     "iopub.status.idle": "2023-10-15T18:43:22.449527Z",
     "shell.execute_reply": "2023-10-15T18:43:22.448579Z"
    },
    "papermill": {
     "duration": 0.03816,
     "end_time": "2023-10-15T18:43:22.451391",
     "exception": false,
     "start_time": "2023-10-15T18:43:22.413231",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#!rm -r /kaggle/working/wandb"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ed2d269",
   "metadata": {
    "papermill": {
     "duration": 0.030529,
     "end_time": "2023-10-15T18:43:22.511544",
     "exception": false,
     "start_time": "2023-10-15T18:43:22.481015",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Reference:\n",
    "1. [RANZCR: EfficientNet TPU Training](https://www.kaggle.com/xhlulu/ranzcr-efficientnet-tpu-training)\n",
    "1. [Triple Stratified KFold with TFRecords](https://www.kaggle.com/cdeotte/triple-stratified-kfold-with-tfrecords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "e0485f86",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-10-15T18:43:22.575271Z",
     "iopub.status.busy": "2023-10-15T18:43:22.574981Z",
     "iopub.status.idle": "2023-10-15T18:43:22.592690Z",
     "shell.execute_reply": "2023-10-15T18:43:22.591841Z"
    },
    "papermill": {
     "duration": 0.053945,
     "end_time": "2023-10-15T18:43:22.595903",
     "exception": false,
     "start_time": "2023-10-15T18:43:22.541958",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|            Variable Name|    Memory|\n",
      " ------------------------------------ \n",
      "|                     AUTO|        28|\n",
      "|                BASE_PATH|        94|\n",
      "|                      CFG|      1072|\n",
      "|               GroupKFold|      1072|\n",
      "|                  IMG_DIR|        61|\n",
      "|                       In|       472|\n",
      "|                        K|        72|\n",
      "|                    KFold|      1072|\n",
      "|                      Out|       640|\n",
      "|                 Parallel|      2016|\n",
      "|                 REPLICAS|        28|\n",
      "|     StratifiedGroupKFold|      1072|\n",
      "|          StratifiedKFold|      1072|\n",
      "|                   arr_df|       441|\n",
      "|                       ax|        48|\n",
      "|                    batch|        56|\n",
      "|                 best_acc|        32|\n",
      "|           best_acc_bowel|        24|\n",
      "|           best_acc_extra|        24|\n",
      "|          best_acc_kidney|        24|\n",
      "|           best_acc_liver|        24|\n",
      "|          best_acc_spleen|        24|\n",
      "|               best_epoch|        32|\n",
      "|                best_loss|        24|\n",
      "|                 bowel_df|       156|\n",
      "|   bowel_opposition_array|        88|\n",
      "|      bowel_opposition_df|       168|\n",
      "|          build_augmenter|       144|\n",
      "|            build_dataset|       144|\n",
      "|            build_decoder|       144|\n",
      "|              build_model|       144|\n",
      "|                    cache|        24|\n",
      "|                callbacks|        72|\n",
      "|                     cmap|        48|\n",
      "|                      col|        60|\n",
      "|                  columns|       168|\n",
      "|                    combi|        72|\n",
      "|     compute_class_weight|       144|\n",
      "|                     corr|      2833|\n",
      "|                      cv2|        72|\n",
      "|                  delayed|       144|\n",
      "|                    dimgs|       168|\n",
      "|            display_batch|       144|\n",
      "|                  dropout|       144|\n",
      "|                       ds|        48|\n",
      "|                    dtars|        80|\n",
      "|             efficientnet|        72|\n",
      "|                     exit|        48|\n",
      "|         extravasation_df|       156|\n",
      "|extravasation_opposition_array|        88|\n",
      "|extravasation_opposition_df|       168|\n",
      "|                        f|        48|\n",
      "|                file_path|       111|\n",
      "|               file_paths|       558|\n",
      "|                     fold|        32|\n",
      "|                       gc|        72|\n",
      "|               get_cutmix|       144|\n",
      "|              get_ipython|        64|\n",
      "|          get_lr_callback|       144|\n",
      "|                  get_mat|       144|\n",
      "|                get_mixup|       144|\n",
      "|                     glob|       144|\n",
      "|            healthy_score|        24|\n",
      "|                  history|        48|\n",
      "|                        i|        28|\n",
      "|                      img|        55|\n",
      "|                 img_trio|        88|\n",
      "|                    index|     72208|\n",
      "|                      ipd|        72|\n",
      "|                kidney_df|       216|\n",
      "|      kidney_health_array|        88|\n",
      "|         kidney_low_array|        88|\n",
      "|                   labels|       128|\n",
      "|                 liver_df|       216|\n",
      "|       liver_health_array|        88|\n",
      "|          liver_low_array|        88|\n",
      "|                low_score|        24|\n",
      "|                  m_score|       156|\n",
      "|                     mask|       297|\n",
      "|                     math|        72|\n",
      "|              min_samples|        28|\n",
      "|                    model|        48|\n",
      "|      multivalue_adjuster|       144|\n",
      "|                     ngpu|        28|\n",
      "|                       np|        72|\n",
      "|                num_train|        28|\n",
      "|                num_valid|        28|\n",
      "|                  oof_acc|        32|\n",
      "|            oof_acc_bowel|        32|\n",
      "|            oof_acc_extra|        32|\n",
      "|           oof_acc_kidney|        32|\n",
      "|            oof_acc_liver|        32|\n",
      "|           oof_acc_spleen|        32|\n",
      "|                 oof_loss|        32|\n",
      "|                     open|       144|\n",
      "|                       os|        72|\n",
      "|             path_arr_img|        88|\n",
      "|                    paths|     17752|\n",
      "|                  patient|        54|\n",
      "|               patient_df|       330|\n",
      "|                 patients|        88|\n",
      "|                       pd|        72|\n",
      "|                      plt|        72|\n",
      "|                  pred_df|       618|\n",
      "|             pred_results|       260|\n",
      "|                 pred_seg|       128|\n",
      "|             process_time|        24|\n",
      "|                  pydicom|        72|\n",
      "|                     quit|        48|\n",
      "|                   random|        72|\n",
      "|             random_float|       144|\n",
      "|               random_int|       144|\n",
      "|                       re|        72|\n",
      "|                read_xray|       144|\n",
      "|          resize_and_save|       144|\n",
      "|            roc_auc_score|       144|\n",
      "|                   scores|        88|\n",
      "|                  seeding|       144|\n",
      "|                   series|        54|\n",
      "|             series_combi|        88|\n",
      "|                   shutil|        72|\n",
      "|                      skf|        48|\n",
      "|                  sklearn|        72|\n",
      "|                      sns|        72|\n",
      "|                spleen_df|       216|\n",
      "|      spleen_health_array|        88|\n",
      "|         spleen_low_array|        88|\n",
      "|  standardize_pixel_array|       144|\n",
      "|               start_time|        24|\n",
      "|                stop_time|        24|\n",
      "|                 strategy|        48|\n",
      "|              sumup_score|        88|\n",
      "|                       sv|        48|\n",
      "|                      sys|        72|\n",
      "|          temp_kidney_set|        80|\n",
      "|           temp_liver_set|        80|\n",
      "|          temp_spleen_set|        80|\n",
      "|                  test_df|      1416|\n",
      "|                  test_ds|        48|\n",
      "|          test_image_path|        88|\n",
      "|                       tf|        72|\n",
      "|                      tfa|        72|\n",
      "|                      tfp|        72|\n",
      "|                     time|        72|\n",
      "|                    timgs|       168|\n",
      "|                      tmp|        48|\n",
      "|                     tqdm|      2016|\n",
      "|                 train_ds|        48|\n",
      "|                transform|       144|\n",
      "|                    ttars|        80|\n",
      "|        unique_patient_df|       462|\n",
      "|                   val_ds|        48|\n",
      "|                  val_idx|     30080|\n",
      "|              valid_paths|       112|\n",
      "|                     yaml|        72|\n"
     ]
    }
   ],
   "source": [
    "#メモリの確認\n",
    "import sys\n",
    "\n",
    "print(\"{}{: >25}{}{: >10}{}\".format('|','Variable Name','|','Memory','|'))\n",
    "print(\" ------------------------------------ \")\n",
    "for var_name in dir():\n",
    "    if not var_name.startswith(\"_\"):\n",
    "        print(\"{}{: >25}{}{: >10}{}\".format('|',var_name,'|',sys.getsizeof(eval(var_name)),'|'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bd1d2fde",
   "metadata": {
    "papermill": {
     "duration": 0.030687,
     "end_time": "2023-10-15T18:43:22.656610",
     "exception": false,
     "start_time": "2023-10-15T18:43:22.625923",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  }
 ],
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