{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# 🚀 COVID-19 Detection YOLOv5 3Classes [Training] ","metadata":{}},{"cell_type":"markdown","source":"### Hi kagglers, This is `Training` notebook using `YOLOv5`.\n\n> \n> [COVID-19 Detection YOLOv5 3Classes [Inference]](https://www.kaggle.com/ammarnassanalhajali/covid-19-detection-yolov5-3classes-inference)\n\n\n\n### Please if this kernel is useful, please upvote !!","metadata":{}},{"cell_type":"markdown","source":"### Other notebooks in the competition\n- [SIIM COVID-19 Detectron2 Training](https://www.kaggle.com/ammarnassanalhajali/siim-covid-19-detectron2-training)\n- [SIIM COVID-19 Detectron2 Inferance](https://www.kaggle.com/ammarnassanalhajali/siim-covid-19-detectron2-inferance)\n- [SIIM-FISABIO-RSNA COVID-19 Detection-EDA](https://www.kaggle.com/ammarnassanalhajali/siim-fisabio-rsna-covid-19-detection-eda)","metadata":{}},{"cell_type":"markdown","source":"# 📚 YOLOv5\nYOLO, \"You Only Look Once\", has a long and succesful history with real time object detection.","metadata":{}},{"cell_type":"markdown","source":"# ⬇️ Download YOLOv5\nClone this repo and install requirements.txt dependencies, including Python>=3.8 and PyTorch>=1.7.","metadata":{}},{"cell_type":"code","source":"# Download YOLOv5\n!git clone https://github.com/ultralytics/yolov5 # clone repo\n%cd yolov5\n\n# Install dependencies\n%pip install -qr requirements.txt \n\n# change directory\n%cd ../\nimport torch\nprint(f\"Setup complete. Using torch {torch.__version__} ({torch.cuda.get_device_properties(0).name if torch.cuda.is_available() else 'CPU'})\")","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:10:20.432375Z","iopub.execute_input":"2021-07-22T08:10:20.432806Z","iopub.status.idle":"2021-07-22T08:10:32.184204Z","shell.execute_reply.started":"2021-07-22T08:10:20.432703Z","shell.execute_reply":"2021-07-22T08:10:32.183327Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 🔨 Weights & Biases\n\n* Weights & Biases is a set of tools that tracks machine learning experiments, visualizes metrics, and shares results.\n* Weights & Biases is directly integrated into YOLOv5, providing experiment metric tracking, model and dataset versioning, rich model prediction visualization, and more.\n","metadata":{}},{"cell_type":"code","source":"# Install W&B \n!pip install -q --upgrade wandb\n\n# Login \nimport wandb\n\nfrom kaggle_secrets import UserSecretsClient\nuser_secrets = UserSecretsClient() \n\npersonal_key_for_api = user_secrets.get_secret(\"wandb-key\")\n\n! wandb login $personal_key_for_api\n","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:10:32.185743Z","iopub.execute_input":"2021-07-22T08:10:32.186084Z","iopub.status.idle":"2021-07-22T08:10:45.445519Z","shell.execute_reply.started":"2021-07-22T08:10:32.186050Z","shell.execute_reply":"2021-07-22T08:10:45.444539Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# ☀️ Importing Libraries","metadata":{}},{"cell_type":"code","source":"import warnings\nwarnings.filterwarnings(\"ignore\")\n\nimport numpy as np\nimport pandas as pd\nimport os\nimport gc\nimport cv2\n\nfrom tqdm import tqdm\nimport shutil\nfrom shutil import copyfile\nimport matplotlib.pyplot as plt\n\nimport matplotlib.pyplot as plt\nfrom sklearn.model_selection import train_test_split\n\n\nfrom IPython.core.magic import register_line_cell_magic\n\nfrom os import listdir\nfrom os.path import isfile, join\nfrom glob import glob\nimport yaml\n\n@register_line_cell_magic\ndef writetemplate(line, cell):\n with open(line, 'w') as f:\n f.write(cell.format(**globals()))","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2021-07-22T08:10:45.447915Z","iopub.execute_input":"2021-07-22T08:10:45.448333Z","iopub.status.idle":"2021-07-22T08:10:46.514149Z","shell.execute_reply.started":"2021-07-22T08:10:45.448291Z","shell.execute_reply":"2021-07-22T08:10:46.513317Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 🍘 Hyperparameters","metadata":{}},{"cell_type":"code","source":"TRAIN_PATH = '/kaggle/input/siim-covid19-resized-384512-and-640px/SIIM-COVID19-Resized/img_sz_512/train/'\nIMG_SIZE = 512\nBATCH_SIZE = 16\nEPOCHS = 10","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:10:46.517789Z","iopub.execute_input":"2021-07-22T08:10:46.518089Z","iopub.status.idle":"2021-07-22T08:10:46.525296Z","shell.execute_reply.started":"2021-07-22T08:10:46.518060Z","shell.execute_reply":"2021-07-22T08:10:46.524353Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 🍮 Loading Data\nI prepared **train_image_df.csv** from [this notebook](https://www.kaggle.com/ammarnassanalhajali/siim-fisabio-rsna-covid-19-detection-eda)","metadata":{}},{"cell_type":"code","source":"# Load image level csv file\ndf = pd.read_csv('../input/siimcovid19-detection-training-label/train_image_df.csv')\n# Add absolute path\ndf['path'] = df.apply(lambda row: TRAIN_PATH+row.id+'.jpg', axis=1)\ndf.head(3)","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:10:46.529171Z","iopub.execute_input":"2021-07-22T08:10:46.529553Z","iopub.status.idle":"2021-07-22T08:10:46.817483Z","shell.execute_reply.started":"2021-07-22T08:10:46.529523Z","shell.execute_reply":"2021-07-22T08:10:46.816541Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Only 3 Classes","metadata":{}},{"cell_type":"code","source":"# remove negative class=2\ndf = df[df.integer_label!=2].reset_index(drop = True)","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:10:46.819674Z","iopub.execute_input":"2021-07-22T08:10:46.820285Z","iopub.status.idle":"2021-07-22T08:10:46.839503Z","shell.execute_reply.started":"2021-07-22T08:10:46.820240Z","shell.execute_reply":"2021-07-22T08:10:46.838781Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df[\"integer_label\"][df.integer_label==3]=2","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2021-07-22T08:10:46.840746Z","iopub.execute_input":"2021-07-22T08:10:46.841098Z","iopub.status.idle":"2021-07-22T08:10:46.850003Z","shell.execute_reply.started":"2021-07-22T08:10:46.841064Z","shell.execute_reply":"2021-07-22T08:10:46.849269Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"class_ids, class_names = list(zip(*set(zip(df.integer_label, df.y_label))))\nclasses = list(np.array(class_names)[np.argsort(class_ids)])\nclasses = list(map(lambda x: str(x), classes))\nclasses","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:10:46.853194Z","iopub.execute_input":"2021-07-22T08:10:46.853654Z","iopub.status.idle":"2021-07-22T08:10:46.865516Z","shell.execute_reply.started":"2021-07-22T08:10:46.853613Z","shell.execute_reply":"2021-07-22T08:10:46.864311Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 🍚 Splitting Dataset","metadata":{}},{"cell_type":"code","source":"# Create train and validation split.\ntrain_df, valid_df = train_test_split(df, test_size=0.2, random_state=42, stratify=df.integer_label.values)\n\ntrain_df.loc[:, 'split'] = 'train'\nvalid_df.loc[:, 'split'] = 'valid'\n\ndf = pd.concat([train_df, valid_df]).reset_index(drop=True)","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2021-07-22T08:10:46.868019Z","iopub.execute_input":"2021-07-22T08:10:46.868579Z","iopub.status.idle":"2021-07-22T08:10:46.900076Z","shell.execute_reply.started":"2021-07-22T08:10:46.868398Z","shell.execute_reply":"2021-07-22T08:10:46.899279Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(f'Size of dataset: {len(df)}, training images: {len(train_df)}. validation images: {len(valid_df)}')","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:10:46.901328Z","iopub.execute_input":"2021-07-22T08:10:46.901680Z","iopub.status.idle":"2021-07-22T08:10:46.907180Z","shell.execute_reply.started":"2021-07-22T08:10:46.901647Z","shell.execute_reply":"2021-07-22T08:10:46.906312Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 🍚 Organize Directories\n\nI organized train and val images and labels according to the example below.\n\n```\n/Kaggle/working\n /Covid19\n /images\n /train/img0.jpg\n /val\n /labels\n /train/img0.txt\n /val\n /yolov5\n```","metadata":{}},{"cell_type":"code","source":"os.makedirs('covid19/images/train', exist_ok=True)\nos.makedirs('covid19/images/valid', exist_ok=True)\nos.makedirs('covid19/labels/train', exist_ok=True)\nos.makedirs('covid19/labels/valid', exist_ok=True)","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:10:46.908704Z","iopub.execute_input":"2021-07-22T08:10:46.909398Z","iopub.status.idle":"2021-07-22T08:10:46.915484Z","shell.execute_reply.started":"2021-07-22T08:10:46.909348Z","shell.execute_reply":"2021-07-22T08:10:46.914608Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Move the images to relevant split folder.\nfor i in tqdm(range(len(df))):\n row = df.loc[i]\n if row.split == 'train':\n copyfile(row.path, f'covid19/images/train/{row.id}.jpg')\n else:\n copyfile(row.path, f'covid19/images/valid/{row.id}.jpg')","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:10:46.916791Z","iopub.execute_input":"2021-07-22T08:10:46.917207Z","iopub.status.idle":"2021-07-22T08:11:29.206279Z","shell.execute_reply.started":"2021-07-22T08:10:46.917130Z","shell.execute_reply":"2021-07-22T08:11:29.205424Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 🍜 Create `Data.YAML` file\n\nThe `data.yaml`, is the dataset configuration file that defines:\n\n1. the dataset root directory and relative paths to train/val/test image directories (or paths to *.txt files with image paths).\n1. the number of classes.\n1. a list of class names.\n\n> 📍 Note: The `data.yaml` is created in the `yolov5/data` directory as required. ","metadata":{}},{"cell_type":"code","source":"with open('/kaggle/working/covid19/train.txt', 'w') as f:\n for path in glob('/kaggle/working/covid19/images/train/*'):\n f.write(path+'\\n')\n \nwith open('/kaggle/working/covid19/val.txt', 'w') as f:\n for path in glob('/kaggle/working/covid19/images/val/*'):\n f.write(path+'\\n')\n\ndata = dict(\n train = '/kaggle/working/covid19/images/train',\n val = '/kaggle/working/covid19/images/valid',\n \n nc = 3, # number of classes\n names = classes # classes\n )\n\nwith open('/kaggle/working/yolov5/data/data.yaml', 'w') as outfile:\n yaml.dump(data, outfile, default_flow_style=False)\n\nf = open('/kaggle/working/yolov5/data/data.yaml', 'r')\nprint('\\nyaml:')\nprint(f.read())","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:11:29.207733Z","iopub.execute_input":"2021-07-22T08:11:29.208073Z","iopub.status.idle":"2021-07-22T08:11:29.236045Z","shell.execute_reply.started":"2021-07-22T08:11:29.208038Z","shell.execute_reply":"2021-07-22T08:11:29.235295Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!ls '/kaggle/working/yolov5/data'","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:11:29.237671Z","iopub.execute_input":"2021-07-22T08:11:29.237957Z","iopub.status.idle":"2021-07-22T08:11:29.944008Z","shell.execute_reply.started":"2021-07-22T08:11:29.237933Z","shell.execute_reply":"2021-07-22T08:11:29.943000Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 🍮 Create Labels for YOLOv5\n\nTo label your images,a `.txt` file with the same name of the image,will be created (if no objects in image, no *.txt file is required)\nThe *.txt file specifications are:\n\n* One row per object\n* Each row is class x_center y_center width height format.\n* Box coordinates must be in normalized xywh format (from 0 - 1). If your boxes are in pixels, divide x_center and width by image width, and y_center and height by image height.\n* Class numbers are zero-indexed (start from 0).\n\n> 📍 Note: We don't have to remove the images without bounding boxes from the training or validation sets. 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"}}},{"cell_type":"markdown","source":"The 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"}}},{"cell_type":"code","source":"# Get the raw bounding box by parsing the row value of the label column.\ndef get_bbox(row):\n bboxes = []\n bbox = []\n b1=row.x_min\n b2=row.y_min\n b3=row.x_max \n b4=row.y_max \n bbox.append(float(b1))\n bbox.append(float(b2))\n bbox.append(float(b3))\n bbox.append(float(b4))\n\n bboxes.append(bbox)\n \n \n return bboxes\n\n# Scale the bounding boxes according to the size of the resized image. \ndef scale_bbox(row, bboxes):\n # Get scaling factor\n scale_x = IMG_SIZE/row.width\n scale_y = IMG_SIZE/row.height\n \n scaled_bboxes = []\n for bbox in bboxes:\n x = float(bbox[0]*scale_x)\n y = float(bbox[1]*scale_y)\n x1 = float(bbox[2]*(scale_x))\n y1= float(bbox[3]*scale_y)\n\n scaled_bboxes.append([x, y, x1, y1]) # xmin, ymin, xmax, ymax\n \n return scaled_bboxes\n\n# Convert the bounding boxes in YOLO format.\ndef get_yolo_format_bbox(img_w, img_h, bboxes):\n yolo_boxes = []\n for bbox in bboxes:\n w = bbox[2] - bbox[0] # xmax - xmin\n h = bbox[3] - bbox[1] # ymax - ymin\n xc = bbox[0] + float(w/2) # xmin + width/2\n yc = bbox[1] + float(h/2) # ymin + height/2\n \n yolo_boxes.append([xc/img_w, yc/img_h, w/img_w, h/img_h]) # x_center y_center width height\n \n return yolo_boxes","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:11:29.945705Z","iopub.execute_input":"2021-07-22T08:11:29.946061Z","iopub.status.idle":"2021-07-22T08:11:29.958504Z","shell.execute_reply.started":"2021-07-22T08:11:29.946023Z","shell.execute_reply":"2021-07-22T08:11:29.956576Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dfu=df\ndfuu=dfu.drop_duplicates(subset=['id'])","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2021-07-22T08:11:29.960028Z","iopub.execute_input":"2021-07-22T08:11:29.960581Z","iopub.status.idle":"2021-07-22T08:11:29.978249Z","shell.execute_reply.started":"2021-07-22T08:11:29.960537Z","shell.execute_reply":"2021-07-22T08:11:29.977338Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"for i in tqdm(dfuu.index):\n row = df.loc[i]\n # Get image id\n img_id = row.id\n # Get split\n split = row.split\n # Get image-level label\n label = row.integer_label \n if row.split=='train':\n file_name = f'covid19/labels/train/{row.id}.txt'\n else:\n file_name = f'covid19/labels/valid/{row.id}.txt'\n # print(row)\n #len(df[df.id==row.id])\n ln=df[df.id==row.id].shape[0]\n with open(file_name, 'w') as f:\n for j in range(ln):\n row1 = df.loc[j]\n bboxes = get_bbox(row1)\n # Scale bounding boxes\n scale_bboxes = scale_bbox(row1, bboxes)\n # Format for YOLOv5\n yolo_bboxes = get_yolo_format_bbox(IMG_SIZE, IMG_SIZE, scale_bboxes)\n for bbox in yolo_bboxes:\n bbox = [label]+bbox\n bbox = [str(i) for i in bbox]\n bbox = ' '.join(bbox)\n f.write(bbox)\n f.write('\\n')","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:11:29.979495Z","iopub.execute_input":"2021-07-22T08:11:29.979870Z","iopub.status.idle":"2021-07-22T08:11:41.705671Z","shell.execute_reply.started":"2021-07-22T08:11:29.979810Z","shell.execute_reply":"2021-07-22T08:11:41.704685Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!ls covid19/labels/valid","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2021-07-22T08:11:41.707247Z","iopub.execute_input":"2021-07-22T08:11:41.707651Z","iopub.status.idle":"2021-07-22T08:11:42.386143Z","shell.execute_reply.started":"2021-07-22T08:11:41.707609Z","shell.execute_reply":"2021-07-22T08:11:42.385225Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import os\nlist = os.listdir(\"./covid19/labels/train/\") # dir is your directory path\nnumber_files = len(list)\nprint(number_files)","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:11:42.389480Z","iopub.execute_input":"2021-07-22T08:11:42.389761Z","iopub.status.idle":"2021-07-22T08:11:42.398541Z","shell.execute_reply.started":"2021-07-22T08:11:42.389733Z","shell.execute_reply":"2021-07-22T08:11:42.397626Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%cat covid19/labels/train/ffd9b6cf2961.txt","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:11:42.399954Z","iopub.execute_input":"2021-07-22T08:11:42.400489Z","iopub.status.idle":"2021-07-22T08:11:43.085437Z","shell.execute_reply.started":"2021-07-22T08:11:42.400414Z","shell.execute_reply":"2021-07-22T08:11:43.083900Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Select a Model\nSelect a pretrained model to start training from. \n* Here we select YOLOv5s, the smallest and fastest model available.\n* I will try YOLO5m","metadata":{}},{"cell_type":"markdown","source":"![model_comparison.png](attachment:6f64ed0a-fd0e-43de-9d26-77412d6e87cc.png)","metadata":{},"attachments":{"6f64ed0a-fd0e-43de-9d26-77412d6e87cc.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAooAAAELCAYAAABecKdsAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsQAAA7EAZUrDhsAALclSURBVHhe7d0J3HXV9MDxa5Z5LEODTJEmGiRTZYhKmowZyjxLkZRmZUhFESKSBiJkFk0qERGpFIVKxkKI8uf+73e/Zz3vfs977jM/7/s+z7N+n8/53HvO2We496yz9tprr732LfoDekmSJEmSJEnS4pbNZ5IkSZIkSZIsQhqKSZIkSZIkSSdpKCZJkiRJkiSdpKGYJEmSJEmSdJKGYpIkSZIkSdJJGopJkiRJkiRJJ2koJkmSJEmSJJ2koZgkSZIkSZJ0kgm3kyRJkhnj5ptv7l100UW9G264oXfPe96zt9ZaazV7kmTZ4pprruldccUVvZtuuqm3wgor9NZYY43erW51q2bv/CUNxSRJkmTaufLKK3vvfe97i5Gosr3FLW7R+9///lc+N9poo95b3vKW3t3vfvemdJIsPb75zW/2jjrqqN4f//jH3q1vfesio//973+L3D7hCU/o7bnnnr3b3OY2Ten5RxqKSZIkybTy6U9/uve+972vGIJRwap8VTcWXsZ//OMfvYMPPrgYjUmytNhtt9163/3ud3t3vetdF/MektV///vfxWg8+uije6uuumqzZ36RhmKSJEkybXz961/vHXDAAb173eteZZ2BCFVN/d3y5z//uVTAq6++etmeJEuSfffdt3fmmWf27nKXu5T1aMzEd1hnKAqdINt3utOdyvb5RBqKSZIkybTAU/jkJz+5eGduecsFYyX/7//+r/fPf/6zdDvz2Nzxjncc8dzYp9yXv/zlsp4kS4qf/vSnvVe96lWlQRMGothEC8glWfUZ+1ZbbbXe4YcfXvbPJ3LUc5IkSTItnHDCCaWrOSpehqPK9pBDDul96Utf6u29997FO2OBeLC//vWvpesvSZYkPNk8iSGrN954Y2/NNdfsHX/88b2vfvWrvV122WWkgaPM7W53u94PfvCD3nXXXdecYf6QhmKSJEkyJaJj6rzzzisValS+//nPf0rFu+666/budre79TbZZJPekUceWeIT7bcst9xyve985zvl+DhPksw0l156aWnUkDkNl/vc5z5l8NX973//3h3ucIfelltu2dtjjz1GZJVMk1Vd1fONNBSTJEmSKREGHm9L3eW89tprl8rY9/AkGhCguy88Nbqhr7322nJMkiwJ/vKXvxSZJH/g+d50003Ld9vJJpnWsIky1snq7373u5H1+UIaikmSJMmUCOMwRjirRG27/vrry7rvYRRCl571qGxvf/vbl8+olJNkuvn73//eO/nkk3uvfOUre1tvvXUJiQgZJJ9/+MMfSrmQVcvf/va3YjQGyt75znce+T5fSEMxSZIkmRLnnntu7znPeU6JN2QMqkR9/upXv+qdfvrppfK14KMf/WjpkoZyjMsLL7yw9/KXv7x3ySWXlO1JMh1oqHz2s5/tvfSlL+1tvvnmJezh6quvHhlsRf4YhMIlvvWtb/V++ctfLiKr+++/f2nEKBeLrmlEmflAjnpOkiRJJsVpp53W+8hHPtL7/e9/Xzwt4TGs4ckRo/jQhz6096Mf/ah3+eWXd6YYYTyKB3vIQx7Se93rXtd71KMe1exJkvEj/EEC7W984xu93/zmN2XAFEPQJ8Jr3TZ9rJO/DTfcsLf88sv3zjnnnCK74e0ObNtuu+2KjM4X0lBMkiRJJoRK+GMf+1jvT3/6UzH6wkCMrrwg1hmB4hNV1lFht4myYsRUxg960IN6r371q3uPfvSjmxJJ0o2Gyte+9rXeGWecUYzD2972tmVpG4cgYxbbYnus+xSv6JOne5jXkEEpmfw73/nO0gCa66ShmCRJkowLlfGHPvShYshFPsSoYCGeS+XarpjrdcRAltjOiKyPcwyDUYW84oor9l7/+tf3HvOYx5R9ydzhxBNP7J199tm93/72t0UGePI22GCD3gte8IIxE1tfddVVvVNPPbV4tXUn8/zxHNaNlsC5GYAaLFLihEwO+wysB+1yzinUYtttt+3tuuuuTam5SRqKSZIkyah8/vOf73384x8vhpsKvG3UmeZMJbzyyiuXuLDaE2O7spYwEGuvYhgIV1xxRUlLwpNTn9t+hqn0JTyMRqImsxt5M9/+9reX72HceeZh0JGnN7zhDb1nP/vZpUzAOJTjkIFoVh/GIc9hHF/jXJJkOxeZfeITn9jbaqutSgocczrX5UNeHUPm4l7Ia7vruUZZA7OkzTnooIN6a621VrNnbpGGYpIkSdKJOZs/+clPlso2ZqmojTjbVZRSi5gzV+WuOzq8Oipqwf/KSEmywgorlArY9xghzZBcZ511em984xvL1H8GtrgWAyAqcNdyHEP13ve+dxn4stlmm5V9yezCNHj77bdfSZFUy1PgWVs0OF784heXQSif+9znSv5C8YfhOQzZqOWRjIShKWZWo+JpT3taSaSNHXbYoZzD8XEdOJdjGXyQfJsn+373u1/J8RkjpAPH1euO5V00K5FpAecaaSgmSZIkiyBJNgNR9y8vX9tA/Ne//lWMQBXxa1/72uIRNPuKrmneG2VUno5rT8/n2Kc//emlIndOC6PgrW99a0lybOTpBz7wgd4Pf/jDEYMxysV5GZ4SeDMYt9hii+bMybIOLyCv3j3vec8RQ4/XLuICo3EQz5rBZ5/tdcPBfoQ8hOdQI4Ln8ClPeUrvEY94RCkD1+Cd5JmuzxMebmi8fPGLXyz3VmOGlosuuqi8B66H+vr1d7KtkcRYNChmrpCGYpIkSVIwrRkvoso3vCh1RcjTwgPIcyJukLEG8+bqFr7HPe5R1h3DKGBsGsUcyY2dQ7fzV77yld673/3uMiAgqiA56xiVUpdA3Nlhhx1Wpk3j6eFJqu9FJR9d4S972ctKbrxk2WbPPfcsDQAePc+SLJENDQ7P2GAUBl/sD9mI7/EZxqFFI+UJT3hCaTA8+MEPLuWhDKPNNRiJjLjwJLbPfcMNN/S233770uipZZVBaWHcOh/ZrY1L3y22xzbleBcf//jH9w488MARo3Q2M6cMRRnTCQOXtoDVJJluVGaUCvmKCm1poZLkiVFRRgWdJAEPCcOOh2S0OCsV21FHHVWSEasOeE5UelFZWuhVFe4znvGM3ite8YoR/aqSVBHyEEacmIXnhuGmO9n5oxKF8yn7pje9qXfxxRePGIA8Ryp9xmVU8jDQ4YMf/GDpAnRvXQYjDyPD1iCI5z73uWXfMLw33mPvzdJ+h+cbG2+88YgnOYwseQ49u2DHHXcsya8jNCEgE+FhJCe6lHkOH/CABzQlFpQJwkhkADIoGYkgM3F9shuGocaLbTUhq2SQseldUtZ2x6233npF1qV98k6EUWi/e/W5++679570pCeV7bOVWW8oSuh6+OGHlxYtAQoFwgX9zGc+s/eiF72orCfJZKEQyJjEwSqYgDeFohKXtSSRloRSqyenV+lttNFGvZ133nlk5oBk/qHhwKiSA47xRB9axFqpMC0BfRkGosqQRyfKQ6XLQCT/jD4GogpdlaFCVU7FuM8++5TBCRHfpTxjzgAYZesqxvc4TiXOwFTWuu08MbqTGXxR6YfBaACCLmnv4TCDkWHMwBDb9vznP7/sCyT6NhAi3hvHeId5R3mS2oZJMr1cc801vec973nFiwzySaYkaicz4JnTzctbXTt7yALjkKHJ6BI/GNTGYchDyNc222xTzt02EmuZ5Pl+3/veV0Zbtw3FwPnIjnQ4GuVxDvWBLABXXnll7z3veU+RywiVgHtTRk5Q++M+Zhuz2lD8xCc+URSdVmE9Ug4eEKVBERx33HGLtFiSZLz85Cc/KYYg+aorNK8NpRKtRnIo79tMopWtta11TCHV92KxnfJ9xzvekSND5yFf+tKXeu9617tKoyG67kI+6EOyoQHNkDzhhBN6X/jCF4pcM/DIUkCulXWcivY1r3lNqcCth4EIx+gW1jiJuC5leDKlPVlppZVGKt76Xixw/FlnndV729veVnqBYj9DjpFp4Ivjo3wYjM6v4fbtb3+7/M7awI3zu3/nf8lLXlIMAL/BfxC/Nco6v/eG0XzooYeWxODJzMCYor/Uyf5/nrg99tijGOqejW2ejXm/eYUjrMEzIl/CCx73uMeVckHIV41z0MsaN8oy3EIu7Ku/awitvvrqxVBsyypim/Lkb++99y6zEIU9YT8PtYE27I3wkrv3kFfHkjH3JA7X4JzZxqw1FHVPqJxrV3D9Cd8pABhpFduTZDxcdtllRbGRsahc0JYxSo4nhGdGCo+ZgBISg6Oiq+Nh2vdi0UI2sICHMZkf8HZoIMRI0qBLVhlRKk9GVl3WPnIG3riddtqpVHaOUyHW54lKkEc9zmO7yt/IUl7BrooXylngOHFr3//+90e6vHmCGLsnnXTSImXhnOQfQkDMCsNAHmYwMgT8LhX7aO+w8/LG8jrWgyCSqRP/NbnTXcyjaF3dvNpqqxUjrebDH/5w0aXRMAevYDxLMa904VOf+tRFHECeofIMN55z38NLHPfg02Kf8rx9Uu24VshrXDOI7Y63xKAY53Yu8qoXRxc6DOjiPfSOkckgrvewhz2s6OfZ1PMzKw1FXRBaC9EKBUGi5DyMeEAhGARMq1JgaZKMF/FY5CkqJt/JGFmzLbx6CGXxmc98pqxPNypewf0qRJBr9+K6Km33EpV3VPgS0cb7kcxdPGuVpgo45DFkIPShihChE2u5UFYlruLTNahxZL9j22UD1+Ed+fGPfzxybrKoUaUHx3EWtCtexP7Y5/5dvzYC3YuuyShriXuJY627d04DBqNtYXDWZeO73xTd6a7l3uO9sc1/YdaZZPqIZ+fZ8BR6tmFkeXaPfexje6985SuLbpMGhw4NI6r9DH16TrxzYTRqrFh0CfM2u4ZnWhuJ9fE+LRr3r3rVq4qckQuMJquwn7EnrK2+R7/DgBphGCBjPOUG7rS9iwxk+w3+GiuedllhVhmKbtVDYfDpsvCSW+fW9TB0L+haMbm3bhUP0n7H6c5g6WfwcjIezBUqgWrIC0XiBTe5PI+DmFgJiGsvBgUieP+BD3xgUWa2TQVyS8HochYbI2bHOd0LxcRzowFkyiqT3dsXFa0Wr243sV7J3EaXqR6T8F4w2BiHuurue9/7lm4xMa2hDwPyRU4cp7KMeO4uAzG+xyf9yxMYg6gcQ/5V9NFljK6KN6jLqFC9O85n3fV5xnVhr7LKKqWcbXBc3IdtyltXD/AwSnEC3qb6NyjLePZbxYzpMTjmmGOKQeE9s58RY5YNjcRk+vDMPCd1sxyKGhTxPKNbFm0vXP2c41kH1ulZx5N5etmAVnqaHnSs6zIoXY8RaZtzKMNrzQvYde42UQbKiQGWNzR6NMEjzTjk7VTWdo114SCIugLui6ytuuqqvYMPPrjYLcsys9JQ1MfvYVn84V7yU045pSm1AHnAxDBG69JDkQ8pFUAyGiFjRqpJ/EtxgfwwDBmBwc9//vPSIg0DDro9KKbphHzXlZ4Kef/99y8t2CBauREAToFKdKwrLX5TMreI57rddtuVypI+tM2zZxiGFwO8NIwolSPi2Be+8IW9Zz3rWWUbXWo7anlpV6DOz4PjXFGOd4aHpPbO2Fefp41rxfVcg0wzQENne484A3RD1sQxcbyyPp3Dd/fnXeUsCIMB7tGsHBpXQT3AQjn/o5g1xncyfYRMeEbk5PLLL19Ep8UzjXXlQ55hu+8MPIa99SgL+zx3Ml9vV16D6VOf+tQi5+Q4Yh+Ypzm2w0AaDQhyoJElZrV2FgTK6zJnd0QDzH4yJmTCse6H/JFjsZiMS3IW76X7YOCqM9yjAVg1v/jFL3o/+9nPilNA76nGjQE9S4NZ1/XsdiXUjEBXLlzxCFzXHgw8CA9HkGxU4lqS5mQkpEkyjFAaPHFaoF50csVLovLxnTyRQ/t49aIcQknFa1UrrYnSPod190e2eZB8RhnXZ9wafEORKmef2DWfU7mPZNkknqtZUcIA5JnRjfvmN795RB+SZ4vRohEuQR/GQJWQlVpGfB8mM0YIS4odYRAqY40SORidK3CdsYjyUdYoaNclzz55PDXuDRLown07R9xr/A7n0zXO86+x579wvwbJxP8C19HYMzWc98Y+BkzERw77D5KJ4b+0xHMWUnDppZcWI2w0OXEMPAfPR+NYI4ghpxHhmQ57RraTDWWiIQWyb/Q0j3gQMxAxysIQpV/JAwNNI8a9tuWbcff73/9+5D6U9+ke4RzK2fa9731vZNrCaAzBb+SIYFy+//3vLwYiLyNj1r043nkYlQxb56gdFkuCsd/kZQx/bi08Fg8e/tB4KAQjysVnKNMkGQtyhJAdlSFCvmJ/KIZA+TgGsT6ZJfC9VlCUBkLe417IPOJ+oiKv7y+ZO7TlzrolDKFaPtryVGN/fa44TxcSYjO+IuyHXKpc2wMSQibHIsqFfPPk8Y67RwudrTub974L91B7kXzW147zYNh7owJGlBv225PJE/9pPGcxpbr4GUIMIoaSJZ698vEJn+SMUab7mkEVca3x3GriOM+4NhKVJQcaSQHnkdAdcsQBpaHAkOMp5AEke2YMMprZeerrSVXmfXNO253D9fw2xO+w30wtRuozdoVVOM4+ZTi0/Hapgvbaa68ik67tHtyL/cIy/H7OiTBElxTje5uXEULIuGHjpdda5DUhZPXLf8QRR5SKMh6q+ADd0fJwRTxEkgxj5ZVXHjECvfy6qKQCCRmz6EoQPxgypywPiBdeF4TPqSzOYXFO547FffGM+B738utf/7p3wQUXFA+J98Q2DSipS+xL5h6hD8VJxXf6UFyU7qyQDfD2kRfQiQw9elMFSZdGWUuUa+OcPB0qU+dwTXLKc6dCi3sYdvwworzjH/7wh5ceIteCfa4XFe8wlIv7VxcYAc6gDUPCO+xe/Tf1b73kkkuKByeMTf9FOyYymR7q52wxIFV4gDhBHjvT3kndxCD03ytfPwOyff755xcP8CMf+cgSNqEuj/NGeYZaGG7wnANlND540oVs8GzyjpOxkAHE9S3eFd5EAwrpY+XgN5AvswfpVQrYGu5TuEdc23nid0uxY2S3feQ8ruVc3iNLeNTti8W67eIZjdMwkGxJMau6nv3J/lzGnoBllr/bt53HR9eyxLK65SIGIogHpauaEOnieN3rXles9SQJQsbMAqFrQqsu8FKLj11rrbXKS2p0pJca5EsFJQZKN1x4daYKpUQJyeVIVkNhMB7lSnz0ox/du+KKK4rhWAdLB94Linfttdcu59B1kcwNQlYZe+L4VIDkg36zT+xdDGaREDtktVb59KGy4ltVwOGF7kIclQZTxO2qpMkTfewcIH9tGRwP7ilk20KXuzeVp3UybEq0GFXaBS8NQ4MxqHK3IM4L7413OAaz+N/qbkDGpPeetyr+32T6iOdc0/6PdQEbZMSLFuWjjGcScmeyDc8tDDflNI4NJjnvvPOK/DhOGfviM3AuCxmDfWEfMMjoTu9UnJ8BKlcuGWsjVIGXNGTJuQxuEQdpZPYwHEN3h5zXuL7f6n3znT3jvhDvuAG6S4JZaSj608QfsvL9uZYQIJ+UXW2RB/Egoiz37mabbVZibmIQQDK/IRsgZ7oBGH+hSEBuQpFEXEocozJTkYmhnU4MqnnLW94y0t0Xck1xMUgpsriXYZB1leSaa65ZGkiZK272Q+7IqWcbg0uiYgwd55P8qmxiuzLkJ+TFNhUkWTKnrXjvupENMVxmoKi9iSplXkkNFOtw7slSn0PMIEO3HgWti5JRyptUoztO5c0gdi/xniB+Z/3pvfGfeYfDmLTPNu+S7nXlYnsy/cSzron/3DPQUPCcPCNla7lSjqza5vlYlOHt0yVtAIrGtXNoHMVzd4zvcVwb+lvjWzws+RdTyPtHt4YMKuMdiXMGDETpmRD3GvUEG4PN0sY52DByiMpc4XfHeb27BlW5vndA9zfPvXPG/fuN5kt/zGMe05xx5ph1hiL8UWeffXYJ2DYKKB4M/JwQAt9DKcDDjD8Z8UAoSQ9TrIJunGT+QiYs5EQFZESoRkS8xFEmvpNJ3y2+q8zEmPBYh7xOFvdAWel2oyzimj7jHup78Z0iIfM+VZrRYIr93gWeUYlupSNhOCazE/LlmZJN+lBjQreU5x3PvCZkFT4dG99hP31IfnhlNKAZnyoklWN41x1nmzQnBsiEnNd6eDI4b9yTc/GU8tR4/9xjyLYYNZjBg2EQM2W0G0tRqSK2O39dBu7fwtAwY42u5/iv2mWT6aN+3jWemZAAXb11fVw/wxrPSoNeYyH0Ge+3+Zk1kJRnqEl0/ac//ak0QshLeMbBiOR9F6IB5wz9K+VNOJKcyzvSxr1FY6zGebqMxBo6utbTjoEGC+Je5NE1yJJxCfehnmHYuq+ZlNVb7SswYJbhTzEROK8I16vKzx9Z/9G2UWbrrLNOycWlVW3ibq1g36O871qVuu8MoefOJmztFnUyPyAT5MuiNaoBoaXIuFIhB/aTMS+rl5w82aYxIgejCptism0yOJ/uE0ZinavL+bRqrdfbVIq2k31eFyNhybsYSvcdhq5P8q6LTXyQdCQqRkoymV3Uz58+JG+C3K2Tn9hHJmJbyE2sh1zHvtCHQneOPfbYYjxJoK2yi3OSeV4bXdVRqcV5p0LcF3xKYyO8g86O+3M9gwp4D8VL6t7znrpvKKPS5z1n5Cpf31fcr/NblOUo8N3ABKNJo0z83mRm8FzqpX72HEDqZJ62MPZQlw/IcG0k8nLT2XQxPE8LORaXqKdII0Psduh0Mm10PXuBLoVrCCNyHB0fkDWLbfV31PcFMhRlupYwEGtZcy/CLCxxL+5fQ008Z/x+23j4NdbQvvZ0MivT48Qt+3NV1uIZjCYSo+LPI1iExjRUYlGUjz9RTAqFQDnU8QdQTotVhWv6MwMBxDwm84u2jEFgskpYjJaX1wuucta9Ic6EHNqmvGN5Fhl59of8xWcX7TIqQrm3wki03XVdh1y6F0H4KnAyLH2P6bGka6ivIZExJari1yqmnGK/c6ootcb9FgHeOe3f7MIztIDs0Wv0G/khg/QhPeeZ2x/yrDKiHw0MNPCP3lOxRoUH57XdNot15yOH4sBhHXHe6aA+J6++ip3sxjXIvHupPTjWyTKjwW+SKkqsoljj8Bw5r3KO9/u9N6bcjPcGfptzxpIsWTwfi2ftWWjwxrP3/OpnEt/pRD0uDDownPSmOMa5yATvtDLyHpIJnsXwQCtDHug+frO2/Jk9Jbqwo3yUgfWgvj/y1d4XMhj47jqWgHyyO3g37Y8y0DUescbeTWFO6gnnrc8x3cw6QxHx5yEeHvxZ/uSIOwFhC5SLP9NgGIGmWswUaVtBOg8BM6RdTJeKNJk/1DKG+iUkF2QmYGhRJsozxAIVte5dc4NOBI0esY51t4tKkDLj5VlxxRWbrQvuhVKMBo97qJVYbBfnyNMo1iU8MPHeOCYqWQqKvJt8P5kdxPP2HMlpPFcVqMqErIqDihCGQI+LitM2DSGypZGsNyXkBs4X74L9BkUZ/IKZqqDq85oXl5eeXq/vJSC7PIiMPqNYxWvKUKBLzjsU5b2PHAXKKR+hGVCmPu9M/KZkfIQ8ewY8yuZNprNqvYZ4Rp4bOef9M9hEL4lnG8+ULDM2eRAZhxoOcaxP5yVXZELMX52QXfe3LmznUDbOSa6iBwe2xXsH7x65DPmyT1mNMZ8Wx4Sx6tr179HjQ36NDA90geslioZPvIvKOF8cPxPMSkMR8YAQP8EfHg8kqB8eomwoQm5qLXBKJAzGOEZZBqMHwiXNk0MQk/nBaDJmPRYyo3tMWg/HhKfDPnIl1ov3ZjwIpZD6IIxE5yGDFI/0TjyHFBAohvpeYL0mtoe8S3Ir553uO/Le9spoWDEYdf2I2dWiT5Z9umQ1Kg77PH+xs8IZVFbxrH2XpzDQZRcecpVYG8fxWuqxoQ8jlcxMIHn84YcfPjLHeVu24V4Yuho3uurgdxm1HF4lqHhV+mK87K//G9TnnskKNxkbMmbxHKQg02iOULCQbc+rbYiRWc8z5FZZ23165t6BWI99ligLBpsR1fSvxnXoc8SxriMXIsNtNBhwdHfYFO5XQ9xsWYGudefhbAgd7ZrKuxfvF8cAfc0OIdNRRtjF6aefXn6v9ZmU21lrKMKtT/b2HedhxJ+rm0IXne7r0QzGNdZYoyhIgwHGgkDVHqZk9jEeGbPfS67SMvglKtlQLF5olVR7iqY2KmmtZxVfyB65o+QE2Uf+0NhX4zpd24P4DaGMpAYh73Ivkve6IlbWdRiMYi3NGS2lSLJs47nFc0bIhE96znfB775HpakyUqHxTERlCt4M3ufwPNfnQuhDsYqvf/3rx9WAjnOMBZnk/ZbfjiepNgbqc/Cw8x4a1Ii4f1589x6NIPeqgSXtijLoug/burYnSwd1coz6jXqaQQRyoNeD99BzDrmsaT/LKBNGVb0/5Mong84nuVMujovy1ul674ZUSo997GPL9pAtkEPd22IiIzsL6FS6lMyKseXRtz9kHPW9OKfFfueMe9Hw4XyQoSAMy7jGTDCrDcUgfkL9U+JPa/95ytTl4nsoSIInDQR3c3TRBcoyAihXA2nEdMlPV6P7xqg8k5N7wITYxN9i1bRyk9lJyEktO20oFfLBWKRI2sYiQ5HB2IVQCIpDSzZkVncKJaBbUCCz7841TCHYPlF5FzCuUpYgdpjByCDQdaNbzwwFNeZGZcT69Jsdq9UsTmgswziZGdrPPCCfklAbhFLLGa83I+rBD35wWRf7atRoXcExthwfcmO7a9hOH0pZw2BsN6A1fnjJr7zyylIB04eSatOH4QEMjDDVeNFFGAZiXAfhSQ+dTDYZi/XABV2VPPKMi/gfVKrKCPwPQ6PGNeJ3JksORpPwL15DDhrPyjPirRPqJSet5xh4RvH8PHte7T/+8Y/FICObNfXzdF7l6VOfGty+x7441rnju+0he7aTM7JL9uIe7BO+QY7JnHej3mddGJG4x5BHeGd4Bv3+8BB2XRfxvd5Gnr1veoZsi/2WmWJOGIqTIX52/Uf7DEUo5YIAWK5hlWQoLSjHIPCgtaS1Digq1j1BFEvjPHFO25RdaaWVynzBKuNk7hDKAV54z1s3dHQVkAFQKqZfUlHXnHTSSeWlp8BCZigTn5Kx6napr6FMyOJ4ca64j/hEyLuGkenTxLKR5YgHg/KuT4btc//SpcjrRckzMClQvz3KUqy+M355nZKlh+cQz9wzEod16qmnlmcZ8mqJASqeLaOMbNivAbD++uuXtCKMuHjetXyEPtRtRy5UjDzRKjXXqY0+5/ZuMAYYCuIJxSEaoT+sN8e5hf+QLZkpXD+uq2tO+JDKX5YCRmYcLwZdDxDDtP2eJksPeo2+oR8ZYJ6HZ+YZed4+yU0Q+0KGlCdHPutnaV8bsqNhZNASD7SuXnJZH0fGXde9hPx5J2zzXWiDBo9GFHvAtrgXus698C7GCGTH2u8aeonE2JLtuL/4DbEe54rtjnde92LdbyfrZFzMux6AKB/3MpPMW0MxiJ9f/w2+RwWqG0SuLsqpS0ESEA/UNkLvocZDR/09Kn9Ck8wtPNd4zmQAPIsqqlB49jMWGZG6x2CkHg92eHiUISfkjwE5HUZiTX2fgfNTSIjkxWJfXLvLYBSPaZt3gWKt97fL8lYxgs0gkyw9QoY8H4vBKCqeqBQZbhE4z7sdMqvCUkYXGcQ48kBrQDPIPP/AM6cPVbrkV4PYZ1s+fML1La7heu2yKkWVvJmQeCslIA5jkC5W1qLSl0NST46QirgnZfXmmC6t/fuTpYc0dLXOs4RMBPGMYrt1zzDKho4N4vnWKEN+TLFHhhByHw0N8GYyvNZbb72SMkyGCLIjXIHe8l6EfpSeRtws3VjrPten6zVmNI7pTdviPiWPjzjE+rcE9Tafrmc+ag1376YeJed2/9G7FDimPtdMMO8NxcDfUP8V8d2DRT1qlJJqV5CIdQ+R8UgBEsi6C9J2LnMt6GRuUb+8oSCk9tDt3DYWBdXrZpGahPcl5IOCIi9mwnBM1zmnA9cKuQ2sh7zr0uFRj2DpMBhrGY/7cVxU+vbXZb0DuiZV4rVRkSx5QpY8N56RHXfccUT2oIGC0G2eq0pUt7RpyBiBUWEKVVDZO0+E6MR5Qq7qdXLt+NEaF7DuPsiMittAsJh2Mq5PlswNHAnAEd6XMAD8VhWswYreI3LoOtP5DiUTx8AkHrFIDA/Phnx4btG4CKKM5+m7MvA91mNbG886ZE439i677FJky7p9jtOQ5S1kyA3DteP67k3DRPqln/3sZyU8I+7X+fwO13AteRldn6eR/eC3Ie7bJ+I3xLp3jjE9LO43ZBk+4/tMkoZii3hoQayHgiQcPC5issJgrCFQWtRaIZK3UqjiHsNd7VxiKqRpyByNc49afqJSooS8/DzOIQMqNp/1NkpGpcaTSJmRJcykMqjvF/E9lJ9WMmNWrI17ivut0WoXmyanFwNTjkdlvTPOxwOpJcwrlCxdQqbIJj1mxDPdVMtA4LnqslWRqpxqQj5UgDwsvDBd+tB5nUeXHBmR15OXpO4eDsg/WRGqoLs4UpLV13aMezfYxkhQ8th17xpnKuh6hqSZfI+S8cGAMusKo8lz07ikJ+gHDUzdu+rHWi+2n29sb2M7w8w543jPPupkurV+/mSEHOnhcRzq/UG9zXVD9jVCOHzcf93z4nq8hwa+CtVwP/ZDmfa9W7fd4p40jqRbc0/1tVGvxzFLgjQUh+Bvqf+a+B5CQjFSkEbmhXJURktYvEwEhkPF/5GPfKS4qz1YLV2epmEDG5LZTS07YSy+6EUvKrMBhGeRHCgTnwxH8qFrg+KJVmMsM019z4F19+/6FB8ZFttWK0UKeOONNy6VcqCVrtud4QC/xTEaR8nSJZ5zyJXnxJBj2Neo3MgjQzIMrZqQldCHGtAaFJGrLuB9UZnyDgb0IW8kYzEg/zEgJvKE1p6TGjJpny7otgcKZNJgQyEPaSQuWxiooicFnqG6U3dvDUPJ4Cf76udHJnnrbCOb5CDk0H6GlXEAjKy3v/3tpWs7dFjIfcAg22233YqBOkzORsO5yB1Z410UouZ3hb603/0oY1sc4zcgHE+BMuwC74Cua79R+WH3FedcUqQffggeUDz0WLd4gARLd4iuaAJrm32EQBwBI9F3gqIsVzuh9+AthIRChfVkbhGyglB0RsMb7RmKIp67TzLCu0xhko2QJ8TnTOM6tbzD97g/lbo4MINxKMcop4KncJUj7xYK2gh/HiJQlrwEydInnlvIpcYumQx5jP0qZB7HGvtif3wPfch7oiHh2Vu3z3npSUZiyEbowwirUM61VJAG2TASlavfAcT1YB+ZOuCAA4osBvbbx3iM0J7270qWHuJaa+gODWiEfEC8IM+yZxfP3ULGDBw1sp0XPGQkni1ZYCCavcQo5JCNWgYstku702UkRpl6Cb1YG2fWHasBbAyD65E72+J6dLljrFu8D5J5sxGUC5Tx23XHMxLr+43PeqnvY0mRhuIYxIPxGdTfEYKAcDE7JhYQmigDQp7MXeKlRjx3Xo5QhrHfYlt4oGsZWRoKwf3Ucgvb4r5iu/XYxhvVPo5hab/tiLLxmSw9PKN4Lub41k2H+lkx5ATzB/bFEsdH+fiEY2OBhjRCNqJseB3b8kAvhgyhfT1LHMMIje9xXsczVhmS9sUxydKHnqufl+/R6xDygeh1QV1O3kSGFtmRIaI2FJWhh8Ibbere8JJHmbpceLhti8+2nMUS+xFlEJ8w6MXMMFGvx774vWAcKkfX+x6/F9ZXXnnlZm0BztF1T0uDhXeajEo8tFi4iY2m0vKxHgIo1UOMboqHfPbZZ5fuHesgFCHQtSAlc4v65X7Xu97VO/HEExeLkwFvs0EjPHP2hYwtbUJ+437IsRgiiprc2kfmY2aP+r6N7A9FTXnyACTLHmK0ePTaMmmbfbCvvT+21c/cjC6h+8iHxrG8jbZFOYtual1/jo9yBglKmVKXs3Rd13bIY1uHQcC5DJjgDbU9lmTpEXUcQ8r3WPfshNognjcM5AsdA9vFSvN+i5nlkRb65VkH8ZzN4qKsMQJxPtTnIp8SYevVsz5RGYnycawZs/SgGNgVOg9xzTi338tmEHoRDaXY5zixu9JFxflj37JAxihOEAai2Bcj7zzcaI37Gz1YRqBPORW1eE1ALiGxFhHBUs7ABgIhuLvdgk7mHrrIDAYxQg7kI7r7IiTBNhWqlq7uh2UJMyToVpQ6h8EXchyKzH3rkjZggWyLVdPV7Lcpo6vnMY95TG+//fZLeV+G8FwlA47Rw/E849mKNVXxyj03DF4iBmLEn4YH0TngeavQxR4aOS2Wy2j6erBCfGpM2/7CF75w1FGocA5GRsQ51veOsUaOJkuWeO89W3Kl7vSsOFr0tIjXpy80OtWtw54rnMv2WBD7yWPIXK1ndHNHo0JZZWI8AbmcDPShxr38ou437gWu5x58kmnGab0/iP+lllu6VmaUZYk0FMeJFrAAbMH8WgN1SzYEFz4ZiypHQkv4664dcVu6exiKjkNWnHMXxhFvYcxy4ZlTHg972MOKcjEbhUaEfV5FlaUYFslolza8gowAyss9hrJry7v7Ju+MX+vkvW7tMxq1ogWah2JMli48hrwgdQVHXyGeneeqMqXz6LEaesyctQxEchGGnyWecXzShwwC68ryqteVI0KOlFHWPUjf0zVHupy20ktFHj7H+T21ceCa7rk9UCJZOoQsSNAvIbuuY3h29EbEE6pbLfFcfdbUMoN6f+yrj/Odc2ennXYqk13EIBj7yQj5JseRgmm8qL+PPvro8v6Qs7i23yn9mQwQBx10UPGoi5v0G+tygfV4F+Ke/BfeOe/KskIaimOgktSNoZVDwdUGor/Og1Xxg7IMIUQ8/PiuLO+L5LXyl8XLk8xN9tprr9JdW3e7qgQZTBQNBGfzskSFTU4oNgNfDJZaGkhvQ3nqwqkNRLg/RoKK2fsQyizuvS4HDSwVvinhyLv9USZZeui2jZGl8Dx5djyjSy+9tHh86CbPWtJqjWRY1wUoNQjDLHRe4Pio9GvjEbV8gD70PpAhejXOo5zFe+AavIsq+kC3ooo3ZM/1eLN/8pOflFHWjnEdjS6zcRiElSxdyAU8Y144aePoxVoe2vrDd58YrZyllp0aMqDRrfFNrk1DWuc+JIP0HM+ixrtUdkIj1OkGGJqeL8LEYEAOedL4rRtZrhsNHDk+xVLW96nHxXVCl8Z9o/5tvnvHxCvuuuuu5X4YsxpFemXaU2QuKdJQHILppMQTaAGFgYh4yKHkKFrD+ZXRTdM2JhHGJCHRCgnPCmolm8wdTBPFW1gbgJSWbg5dC9Ytnr/0Cma8iK5pqCQFPSu7pOAdOuaYY4piilCJkGP3Sob9BulwVN5ayho+0UoPlFWRa1mr4E35l/K+7KAhYFqxSFPi2ajENIYh92A8f3jGnqH563no6h6VkG3noA/hmRvBqcJ0HjqyLR/KOkbsLtkne87ZZTAq6zrmDqeXjXqlZxFe0JheLZKIO4djdXN6h4yYTZYe8SxDZug8jegw2mwLovuYnNXHtQmdEufsKqPudR6DW6SC0nhhLNbeZ+eJ3hCNDo0k3223zjgjy+YLF4/onqMxAverQWwe/EgTVnvnyaZwoqgL4r5rQl6hjPsh93Ev9tG/3iv/HUN0SZKGYgvxBlrMKnkVYLjB4a8ieCpLD52XJKa9AmFxLOPSQ/XwCYUYIEIkbhFtAU/mFlqcEgu3jUQtVrFVIUfx/MkJ76PWo8o7jqEoJB3W2p1JdAtrwPAq1V0zIKtkmcKUA02smdCJQNf0l7/85WIUhrLzyTulLM9orRjtS5YeGgGbb775InLGSFT5bLHFFqUMbyFDMsIllPH8fe9qBGvUqNB0EzPUAl4X3hzeI14Sz155xuOmm25aprF0Pjg/r6XKmOHAEAxZcX1L6NQ4xjY6N7xBkKpEj03Isesp5zclS5e2HmAoenY82whZ48FeZZVVSj3K6xjPv8a5oleOFzlkspZN3+23MNzIj7p4+eWXLzltQ77iuhbb2tdybBhtDE3EMWELSI+jMeJattvvXNdcc03JmRwzIFkYge6FHDMkA/sQx9fEPZFnMq/hpuG0pEhDseGKK64oXX1GLUcrGPHACEu4gE12b3oehCJSLtzZ+O1vf1uESPmIxyBENSGoydxB5Rez9pAJskFu1l577TIIynr7lVPOwiN9xhlnLFKJq0B5oMXXTDfmmRbwT3FFxey6iGtTaPKSMfq0ZhGtZeVDhgV2MwwoP90mGljwfiB+Y5w/WTrw9nlWKj14vox5BpbnGhUXOTayNMrVz41s0GX0m4pTt5qYQUTFjLoS1GXHM6nCNPoVzhPyEV4lssgDyHNpf1suYTvcuzhL4RtwLucxorX2xjBkH/vYx5Z44WTp4bnFs/MZ9SU5MlLd89PNG55u3mbeOMZdHOt5+iSrPIQaBe16NSA3cb1A2fracb4a65a2Pqy/uz555iiq5S/KhF7kIFLeu+DaGuNmbDPAUb5IBmsdmtS+H98t7Xuha9/5zneW3p0lwbw3FHVX6GJWuWuFMhDjgYDiIsgqSR5BigkhcHVZxLYQFNSVZXy2j0tmP6Y6EwdDjjxfskCZGMlsrlHrXa+bbaEItEwNImkbi+JlzLk7HTA6P/OZzxTZjnsNeSTXKmCLLkgyr7GDthzD/Vmv5b3r3aivkSwdNAzEnpItz8dzYlDVqYw0cBmN9KHKLZ6b8gHDS0PgpS99aTHKMBF9OJ6yKmJxvFKlqNTDi1ijPJlkBGrIRIXL6DA7R3hxoAtaQ2399dcv68nSw/MPPMPQfbEe+z13zhteZg2S2K4s2aS/4Pg4zhJGYMicfW26ZA/eB/tcj6eSt7CWXZDN+9znPsVQq3ONttHYUh84V9yf+/7iF7/YlOiV73plbFfGtePe6H3yzengXjSa4p20nZc+wkVmmnlrKFKEhNC8kx5EtD6DMBAJhMDvsNw97Higk6EWhGTuoCtAo6NtJEqwasaJUHKoZUC5+hWklJQXR6YlHediuGmsiJGZDBRLGIjOR+nEfcQ9UEzkXtek36Pr0Xb3Hvfbxv5h+4K2ok2WPDwQctDVMqULSwNmww03LDnlDNoTL9jVoxKoSHWlCbtBrQ/HkoXxyAqiXMiNFD7uqw4DQshlNGxM6adhowdHo0q8bRiP5F8ZaaqSpU+tD2tqWWLw0aliCusu6FoGomycT1gML10YiyBH5JaBR4airo9j7HcOPT+8lOp7uLZconEvcS2ytNFGG5UyjLX2/VjofoOrQs+6lkXvkCWO87tcRxd13IdPjTHX0Mvk2ubQ54F0XvevHOORl3xJeBXnhKHo5WdZ697g2tWSNCUUhRbdvoFJ7BmIErxqLYTQ+Bt8qig9DN1nKktxWSAcUKYmlBnir+z6Sx3XPjaZPahIdYdpYHiJyY4AaTImvlA3HSMRFAKlY5SaVmcoJAyTg7oMmRLbJQGxij1kjCHHuyfO0b1I0Cq+TItVjJZukIjVCsitrjz5yVw3uvJqWQ0lKpyCklTGdvfUvtf2/SvXJe9ol02WDMJndNmZh55xJN7LIBCGYVSgKiohBSphlY2R92EgembxTEMGQgbpV5WxRgfZiuerfJSpt9WfNcpEOdRlLbHfQi5ti3uP68YC+/1W74j4R++kitV7G95S966S9ht1v/u9q6++enlvJpoeJZk69TNvE892q622Ks87DLXQkyFrsI0OE0bj2W6zzTaLNbI1gi6++OLSAPde8FAzGh3rXNElrJxtIW/S2/BWR7wu7FM+vtfb45rO6V58R2z3Wyx1WdcJGYX91iP8wv0owyuusede4HdF6EWcb6aY1YYiK9yI46gsa2Fi8KnQjc70oClCXQ8Uh0o+XLjx85VXuQukVVmq5OGhoX4I8X0mH0yy7OBF/O53v1sqllpuyAyFwbAKDwzZ09DQwBCHYj1w3GgyQ9ZiP0WjQWM2Fw2fUIwMOp5uiqSu1B1r+1prrVUGBViX+FrXhnv2ftTXt59y9bn99tsXT0wotrjn+l7rY5NlEx4GjVt6kUx67vA8yY91zzeeMQNS5Rnya7tn7DPkTBmf1uP505MaSK4VshLyOR3U55Rz78c//nGp2F3ffeg6p9vpfY2z0Ptw74xg76XYS86Der/j27/TuTgWvC9RLll6xPMxwE4PCr0bz4VsxLMLmSP3GsOROkbohO5qxylHT+si5mEO3vGOd/TOPffcEb1NBsw7baETEed/8pOfPNLAhnOiLSvt7bEexH23sa1+f6KxY4BZ3AvIsd6ekGcyzlkhX2O84zPFrDUUuWuNsIuh6kH7IakMPWSVdyjPuow/myKUtkRMgXxLCMUYZRHf623J3EYLLmQHnn37lam3qbzMZMGj4SWvZWY8chOVpPNRCLyHlGXECY51fZWkSpXcw/dagYSBCFNhiTNjdDo+rl3f53jvO1m66Jpi8DOcwjtRP7daZkJeyAIZC2ynDxmCPG8MQYmDNbLpRg0WxynHOynm0aj8meLMM88sKZhcF67tugYw6CnSCOLZ9M5p/Ne/BfXvi98c31H/J7wzPEzOPZMVbjI+6Fyj8HkGa0L+fHpOPj1nBp9GdcSyxiASz98nQ9CofLIiu0ToyTgXuddY0ANk3eL8GhpGF9exitHYaFPbIfbHuUOvoj4uyrjHOLdtzk/f85AijED3yIMY4RRkVq+AVGxxrpli1hqK/jAKMR6On+GP9Kfa7s+PP84232M9ylKIpsrhQeSJAaFD/afXxybzBwlPdT2EN47ckA8vMrmrKyb7KB9GovQ49Ws1UdlpH6syDCVYnyvuxX3UDaC2vENZytK7waDQ5QjXivI17eOTZRvdp3RaGImeK0+KZ0s2VDTxTO2LZxuyRo5Uzgw/BuLjHve4sp3ckC/d06YjjRhc5/ZexNR9043r8uTwCrl39xkeU71EcV+Qnsk7omuuNhgdE8fWv9dvjePr94Ynx+83uCBZuugplImE8R7PjywH8Wzju2dq3bSOGvVCy1796lcv4o1kWPkeXkSEfID8M7rEusL7xEi0XTkLHS+9Tpwz8C7IMxrnCpQ3yp+8deFeNdw1gOrfwzYx3aEMKwE7xaxEYfNwcOntYlD7b+L4mWBWGorHHntscSNTCvAQVIIGDniIAp+jOzrwYP1UD05ZhmHkeYNztB++9fa2ZH5w2WWXlVQiPBchO15Mo4/JjC67iHMKyJwRpLXcTRdmnqBUQh4pF61taXfkIaNA4n0IlI13gwGhW6VOY+I3teXbentbsmwjllX+Vp4Gz86zjUawwXg8gmS3Sy5DHzKQdt555966665bttcVm3OqhGovjW2uYdsuu+zSlJw+xBd6BzWOXFOl7bfQ++1KNwxD057pgjRwx3sZRnONexZjKc8nQ8S7473xe1xHhS3kI3qWkiWP/IkMtmHeRM+fPDL8QqZtJyMMS8aTaVOFC5EB+6KMc1jq9fqTfJAz4Q16LRmVYZgxRulg8d5tzObi/Qkd7XxkidPgmc98ZlNqcQx40Q3ut4ShF0afd9Z9uB+yCvfj/MpoOPGOxnoaig3xMHWZUW4UhG0ebh2jAMrLiOa69eAYwctGMglcRRqISRdGHp922mkjXRleWkZW3cIT+KySDmORLHlhKafpfK2c0/lCYTESTS219957l3UIfBaDG4HO4PWBVrF0IYhzpczPfuI5er6Mo5A7HhDyq+EcqDxVZipSKBcGorROut0QRlhbFlRCGkcvf/nLS7dY7FcZ8uZN52CQr3/96yXuKrq6o1LkOVRxWq+J/yEqSrlIxek6xu+Ne/V7eV/o/4CnngcxPJcqbOl26ncrmXnoV3gOnpFnpn73rD2X+KTTPG+yQD+b8YRxBseQX/pRvR9GVciHz4AsKBuGXTR+lLHdZ+hbWBfe8eEPf7i8K4xGKMP+MODKvYdN4vcYtcwIVNa5A2Vs22OPPYpTSwOvfa24F7/bEvcHn7znvK686/bbVl9jupmVHkUDBSgMaBGLo/Gn1w+PAjP6yUMgYASDgRldbqEQUT+Amfyzk2WfeEl32mmnMlKULHkRKR1GYSgRMmUxKi+UWBwfxLnqbcPkq10mjg2c33VAMYnfUibk2H3GPTMYbLctcnY5tr5PxPmH3VOybBMyoouWZ8V3FSkvs2TFtT5UcanMwuvMIGonq8ZoskB2zNhiCj2VorJxjema+UT3r/ydtZePp14YiO71eAdq4n/wCZUqxFXyCvn99qkreB3jHYZ9UqK4rt9nH0+W+Ms4bzIzyNkpr6dZ0NTPYNhb4hnWeDb20cPgMeRJpw+7ytfPr36ODEl2QISvkSuEU6Au6xxkjmGm61d3cLwr5EVZxhoZdS54BxmgwjJqeQ3dK0OLWEiy570Nvewz5HDYvVjYNkKcpI2K8ytXl51uZs5XOUNEiwL+GH9UJL207k+2P4bHI8qHUvOg44+NJR56Mr8JWYl4FgsZE9IQhIyBdyVe1iBkKVqB1mOJc7aXdhnH1uuu4dN1I5jZttgP3qGoBC26YlArNihfL8nsxLPznEM2QMcZiIKQH2UYdmEwwWf0ttT6ED7j2JAZOGa33XYrRlxthDLAeACnA95NlWRc17l1oddGYvv+omz8hijn3uK73xgDwuCY+L3+r3hHoLJOZhY9gAz06B5WX1sYWJ5b4BmFzNquMay3UO5AzqHaSIznCceEXNCDIQeI90Xvi+tp+AgnYgwyWOl+ckcOGIC+a3iFkejYWHgMeRrDm29xTwzgGvfiPIxN80aL9WUkxm+zT0+Axo0Yya57sd+5hWWEkej4uJeZZKEWmAX4UzwQrYr4g61HEtWoXP1prPZaGShfV/awry6TJEFtAFJQcm9ppISM+fTy1uk3LJSSFut0LBRFKIuQUwvlpTVe3wu0zKNVS95jtGgt33GOelsyO4lKIrwSvjP+DDoB2Qi5EacYxl3oUV3RIb9RLj5rbEPoXDNZkcF4P1S28tNJYzMVJIP3nvkNrqVSds+uh7h++/7q+/ZpMQgtEi87zqd3hjem/d786Ec/Ku+44/2mmKoyrpdML7yARvSK/ya78eziudbPOWTMd9sda7YTjeXoLYz9ddkoTx8LlwgHk8U1xaEyuqK8lDonnHBCCdHRtcxwlKJGCAJbQq9lbSS6LruDkRkDvCzkK8Im3I9yFj07DEAxsQxi2+J+vEtC4XSn8/rznht9zyg2q5d7MbiMgeyaUlM5t2PjujPNrOp6jj9eq1YQaAQ6q7AlGpZzywPyZxIoAhF4gEZEGYwQ50mSNiEbFJkpxHhPyBhFQ7HJjchzJ7h4zz33LK28aAEz6MSlCD52Hkz29YqX372QXXFXKuRQEK5puj9B+bqbKTSVfhiK7sVAAy1UCs55loRCSZYcIas8KwzB0IeePbmQh02DRwOC3LZjthhh5FdlxNMxWpyhY0KWXZNHSHyfytq5yJh3xGCuyUDGBf2rROFaKlAzU+haj/fJtUdDsnGxw95P9xaGYtyj/8B/ob4w1Z80Vq4dhmLEIquk4/9Npg+jkf23jHH/N8ghmfV/cwLVclrLHGId8Z3cOZ78xzmivHV2AFmgJ+OavHTGK2iEKONc0XBoE/vjWOfmRTR9pRC42M7wFDbBPonyf/nLX4pd4nfzYNa/wz377cI/5EdENOaiTmnjOPcD549lppmVhqI/3aCCmHXFHxWeHN89cJVq/ImEQiJtAc7OEduTpE3IGHlSQXm5Q14oJDLmJfZCa0n6HopEg0WA9UygpamiC2+I77yN1t0LZchIdJ/uRdeFViyFHL8pmVvEc2UU6Rar9SGdpyKynzzEYI3Qf1HOPrJOlnTxaljUgwJrHAvHWXhfDBgJufNubLDBBqUBM1F22GGHYrDVDZ011lijzFDUvm4XZiniHGD8RTe7su3f671hDMZ/oZ6Ia1pXsYtjjEZZvjfTi5Q1MVuO5+E507GM84g/JM90K9m0IJ5DbCOzZJz+k8HEABj62ohpDaTw2iHkx3qcD+TtkEMOKYO+oky9P6hlLs5p/IPrh0HnuxC4Y489tqyDh9LgF7IUxi/IoEaQBppBZ363baivhfb91Pt9b5efKWadoQgPS2wAlzCL3k/wh8VPiT/PugfA0ufKJTz58iejQWYsZMRIYqPq6go4ZAz1uhamQH8DrRhu0/UCOz9lpJvQ/LrREh/tXihAI2F1udTvTDK38Lwtnq0YKqOFR9OHIA8aNCquMKagrIYQI0pXlzgohlqbWp507Yoz04sT5yF7ut5i6tPxoHI1cjpG7Ht/GBB6hpyXDvfZJcNnn312SUqvW7k2EOE3MSgcX8c92h7/UV32z3/+cxkR7Tf5nfX+ZOr4T3XhhtfYc9Fj8+lPf7qsBzxyQgcYUCFvIJ9k1zMxMt1gFJ9hrCnrGRtJzEtHLutnXj9r38M4EzaB+lptlHec8zFEf/jDHxYDEM7jvgzo0mDnuXR9jRa/r74HjSlIJC/O0raQtfGi7ETKTwe32ldU5CyEwBnRJl6BQLX/OA+AsvEAKSFJL0MQlvSfnMweyAbZseiaUGmZ6ilkrJYdZSgJ3jsVjFatdYohyk7HQm51Z5t/3By+KvlQPjVxL7rwVPS1vFuSuYt0SfShlGCMoq7nTR/yHJINYQoSBKtkeWWU9+lYXjWeHd6ZFVdcsYTrtCH7uvPIooo5rumTV52HaDwyJxcpw6Ducg5j0/SBUYnGEnASyLVnqjaotON3OAcPD28nb5PuQHGbvFjx3sS5lPWOMxI1rizx3nS9Y8nk4UnUy0FGwGgydaiQB8/A/+4/F69nxHCU86zoXzJutLKQH3llhQCB3vMc4ZOeFGfoHAy3kJ0oE7iWe+BI4gm3P8rWi3LxXfiaPIoRcgHyKhRDfk7TDpJL90QmQ4b8PuX8BvaIHk5lEOdpXyu21UvsX9LMuvQ47cqPUuLe1boNd3ZU1oRJwksCZ1scY0mSYYSMgRwJ0uct1EJUsdqmjJefUqMYeGHq46ZLxurX03XN46ttJ/wi7kUZrW1dH7oOeXPavyGZm7T1oeD6SDod3jVlyIjKUCUbRtn5558/Es/H8xH6E8qTbzGMKmSTE0RexrZsSeTOo64yB4PU+yCv51hIWcaLGV4hFbd59mOedPfBAAzEQAohYsyGBzFQloHofObAZRCbmhUGEUhJwrHgfBbn9xsZpDxAjIv2b0umD5MCkJUYZOc5+d8Z8vG/+88ZlAz2CPuxTx0uJYwBJg9+8INLWXjmlpqQmYsuuqh0dfOyx/NG6MxAI0GPYwxiGob7kgonenWcj5FppL570+PjXN6l+j3SOPNuGe3sHXSc7VGm/bksMusMRbdb33K8zAxFlSclxfvipffHDyufJKMRSgUhM7q3dAGrPCkfXXNakajLk7vpfOnj3OQ4Kk0KyYAurVTxPLyfdQs7rp/yPrcZpt94DHkYVVIaEOIPI+4rPBlhZOnmY9RdfvnlQw1GlTrPIoNRd1/sU47nzsApFTv5tJ1c6l572tOeVsp2ocuYh8Y14b7Iui70+E1xHzyHH/vYx8q7F/GW9kU5BqLfuv766xfvPq8S3Dvit7ovicN98gp5byK9WvwvzpvvzfQRciIMgPOG7vT/ejYGW9VxfTCAyQCsuufEs3G8+t1z05jQg9OeQce1QiYc61nzWg4zFuO+9DiSr9Ewarn2Srt/g8bUA46NdwfO7Z7FIjKEvQtwTBwP17cs68w6QzGoK2bUfz7sD0EI2mWSZDTGkjG0y8zUiz+ee6kruviciXtJli3oubYab8uH/SFDIRNxTDQ+VKo8jBogKr06AF9Z8sVg1BAX/2rwQKCbj7GpQnaM8rwtPIDhaaxhxO64447FUFDevQmb0DsU8+7jpJNOKhkInKs2EOGYMBB50c1Uoasc7Xchfmt9fKBsva3r3Uqmhmflf+V10+AmWxAaxkgjC+SEHBnB71mjftb194hX1PjRcGHEaSQEnrfFNTmQdFkzMMNYtD1kwnk1HHjbhzVseA01pCKTSpzfPWsoxXbncn7viesZS6GRZpvy8Rt8xvfZwKw1FOHPHw+z7aEkywbxanS9IvHSxydmuoJxra576SIru/lHlz6s5XM0lAuDUfcsg1HIxWgGoy44BqNKGirjq666aqQ8I46Xm/HXRhwt7wpPn3My9lTSQoUgp6J5nXmQGAPkub4H2xkKYSBGHGVtII7224fty/dmZgjjjExJxRTdvJ4Bo8/z9EwYXmFEwj6LbeRT+XhuylvC0+hYnkapZurpK6Fhwkglz21j0fmsk1cj3tvwFmqs1F3hcR+OryHTDMdtt9225ENEuyESx84mZrWhCLc/7CfMxgeSLHuEfHXJWcjXkpKz0eQdKfPzm4nIR7tsfA+DUUyZPHMSUjPWVNZhSCmrAmTgqXx5XBiMMU9vlGNQSu2kEjZwheHIc6hrMQYaMAR4IqUTMXXeJz/5yXLuGKASuCbjkFGwySab9HbeeeeReLfaQOz6jN9W/94a5aJsMv1EI4ZcGKgkvECs7LD/XHmyxbusMcDTqBGia1e8ogZGfaznagmjkayuu+66RR4NIIHRyFI6RcMDzuE4n47j/ZPlggdb+IJZe6SwiRH5QfvacIzf9N73vrfErrdlEnHd2casNxRr6p9SP5wkmS6WJRlLeU9GY7zyoVxdNr6HkWYQ1xFHHFFGQesSVFHH+ZRVqTMIxfrpRrzssstGvD/2MxKhklR5+ozuaPt5YQw+4W2K7kTHxjWcXyVuoAuj81WvelUxLOF87d9WH9tF/VtHK5dMH/5zSzwbaccYf54joy8MqJAHsagbbrhhyXMYiMs2eFU4g27g2misDbC4VngqXU/OQtNAGm3MA+0acJyyUI6hGR5DsuV7yGOUg+9xTcfwIhqAIx4Sbbn0vV6fbcwpQzFJkiSZHFEVtCvEMBgNGDQAxSxBKk/GXl0BRsUa3p44T1cFWe/zXaXeNhgsjEOV+lZbbVUqYYaq7a6D+ty+d10rWTaIZwbPWSqno446qgwQjMYEGXjQgx5URkfzJJIpz9tzrb3LDEkGo1ybQiWcj4e6HogFx4Ix5xpkVoNGTKJy9ofMIa5VE+eAfWFIgoEoLpbhG7O+tanPP1tJQzFJkiQZIaqEumrwPSpqnh0eRgajLr7oQoZyKkaf9TYVqCU8jfAZ5XwGvjMQfTIQpThRwVtnOLQrXsfHOZNlm7axCM9VeiXPVuxijBxW1r762Vq31HJEVk4//fSSONvAFdvJSxiN9fFxzpBl63UZ+6KM+6uP9d12nwxPXnRxuWZFwlzzItakoZgkSZIshqqhXT1Yj0pWLkMeRgMAohuwXblChWofT44Rr84Ro0RrVLQqfWy//fZl8AFDVPkwMOLc7c9k9hDPEp6tZxhGYxhp9XOt19vfUcucuEbJ1cmk2FrbyV4Yn6ivZb/z2OZTnKGYWzGJYiJ5zutjwYsoBlHsIsN2LhuIQRqKSZIkyVBUEe1qwnoYjCpOSb55dFSyug+DGM0ssXJgEArPT8QpgodG97OExrodVc6uEZV5zVysiOcbXTLVRftZDzsuttVGI5k688wzi9Eo/lUIA6MxBmXFuaI8I1H863Oe85yyznMu3EGcY8i0hoz9GjGYD0Yi0lBMkiRJxiQq1iC+h8EYhp6KVUWsElUxG7TA4LNEhSvxMm8NVOBmRzHjCrq8SvF9LlbC85m2THm+8exHe9b1MfV3xLrja++hecE1ZngarWvUQDnxi5JnGzxDbp2DrEZanUiNw5iU3ofH2zmCse53trNosEeSJEmSdBAVb1S+UTmqMFWu0UUXFbVtMd2abVEWUpCEN8a2ODZGo9oexHXqbcncwDMNmbLE+ljPOuShXoJ6nYxZ8MQnPrEMOjFyeq+99hoJcyCb5G7ttdcu63C87eSXwei7RaPIHOmwjvHc72wnDcUkSZJkQrQrx/jOSxgVqErViNT4rozjdAmai9r3qIAjT51tQZSf65VwMjXIRy0rsdT7EEYjeTNndMgeNFR0TyNk1SLVUxiaUT5SM9lfy+tcJg3FJEmSZMJERekzKlxeGV3Q1nlidEPvvvvuxWOjrK47I0UjtY5yDMcNNtigHI/6vEkyEchMLLXhWO8LWZVMOzzYDMULL7ywd/zxx5d1x2rMkN0IkXCsPJ8x60ucdz6QMYpJkiTJlNB9rHK95ppres9+9rNH5nC2MBZ5ZcSEGfjCSDSgII6TE++ss84q66qj+VQBJ0sOshXmDlkVr2jkcswQY5/BV2YEkq/TTEK+R1ytBpDt5h+P88wXWU2PYpIkSTJlGH2SD2+33XbF+IvK14AWFW5UtGEk2mc6P6OgEfGLSTITkEcGIsjelltuWaaUjGTf9pNPkN8Ywa8s2ZSke5999in7w1CcL6ShmCRJkkyJugLeddddy5RpjEDrUanWZXgYpR951rOe1dtmm21GjMT54qFJlh7RgMHRRx9dGi48iWTQdvtjJH8tq29961vLyOj5KKvZ9ZwkSZJMmboCtZx44omlIhaDqDK2TRnrBgTwJEqTE8chjMkkmUmYPZaQt3333bdMByhWkRcxZJW3URjFAQcc0FtzzTUXk/H5QhqKSZIkyZSJyjeISvi8884r8/nqzrvHPe7Re+QjH9lbZ511yr4YURoV73yqfJOlRy2rIXdmGjIV4JVXXlkMxOWXX763/vrrF3nFfG7QpKGYJEmSTAt1BRx0Vap1pYv0JCZLmlpWfUZ3cxuNGYakMj7no6ymoZgkSZJMG6qUdrVSr7e9hmkkJkuLsWQVtbzOV1lNQzFJkiSZdroq4RoVcNtoTJKlQcrq6KShmCRJkswYXVVMGojJskjKajdpKCZJkiRJkiSdZHBIkiRJkiRJ0kkaikmSJEmSJEknaSgmSZIkSZIknaShmCRJkiRJknSShmKSJEmSJEnSSRqKSZIkSZIkSSdpKCZJkiRJkiSdpKGYJEmSJEmSdJKGYpIkSZIkSdJJGopJkiRJkiRJJ2koJkmSJEmSJJ2koZgkSZIkSZJ0koZikiRJkiRJ0kkaikmSJEmSJEknaSgmSZIkSZIknaShmCRJkiRJknSShmKSJEmSJEnSSRqKSZIkSZIkSSdpKCZJkiRJkiSdzFpD8Xe/+13vZz/7We/KK69stix5+v1+76abbmrWFl9P5hb/93//1/vPf/7T++9//9ts6Ua5m2++ufe///2v2TJ1yBX5CtrrSTKdkK+x5DxJlhT/+Mc/ik4dDfv//ve/l+9RF6eOnB5mnaH4/e9/v/ec5zynt9NOO/V222233mtf+9re5ptv3nvve9/blFhy/PSnP+1tsskmI8aqe7POiE3mHnvssUfvWc96Vm/rrbdutnRjv+Vb3/pWs2Vq/OlPfypy9d3vfres//GPf+w99rGP7Z1zzjllPUmmmyc/+cm9I488sllLkqXLt7/97d6TnvSk3nHHHddsWZRzzz23t/HGG/fOOOOMsn7hhRcWGT7vvPPKejI1ZpWhePHFF/f22Wef3pprrtn76Ec/2jv55JN7J5xwQu/Vr3517zvf+U5vl112aUouGW5729v27n73u/dufetbd64nc4s73/nOvXvc4x695ZZbrjQSuqCY7njHO5Zyt7vd7ZqtU+NWt7pVkSvyBdffcssteyussEJZT5Lphrzd4Q53aNaSZOmi4f20pz2t1PdXXXVVs3UBN9xwQ+/AAw/sbbfddr2tttqqbLvNbW5TZHi6dPB8Z1YZiieddFJvxRVX7L397W/vrbTSSqXCJAzPeMYziofxJz/5Se/yyy9vSifJ9KIrmQG46qqrlhZuF9/4xjd6a6yxRul+ni5uectFX1MG67777tt76EMf2mxJkiSZ2+y5556lvtezU/PGN76xd5/73Ke36667NluS6WZWGYr//Oc/i3elC27mF7zgBYu0IA455JDeddddV9zQb3vb24rH8cQTT2z29nof/OAHe69//et7+++//2KtFPBS2qfMW97ylt4xxxwzrQZAMvvw/J/61Kf2zjrrrGbLogg/0HDpilUli+9///uLPL31rW/tff3rX2/2LMqPfvSj4jl/3ete1/vUpz5VPIm3uMUtmr0L4nWEWkTIw1/+8pey3pZhIRC267rGb3/7297BBx9cvvPGv+lNbyrvRXTP/P73v+8dcMAB5f4OP/zwaY2xTOYu3/zmN3t77733iFzXOhaXXXZZ7wMf+ED5Tq5V9JdccklZx6c//elSyVvoXO9JyGmNRtjuu+9e3ovDDjus9+c//7nZk8wX3vGOdxR99573vKes029Ccd73vveV9clAzx1//PFFdsmwRng7bIiMf+lLXyo6kh1x0EEH9f7617+WfTfeeGOxJd7whjf09tprr97VV1/d+8EPflDshTbHHnts0bs777xz5/5llVllKD7xiU/sXXvttUVIrrnmmmbrAnhZeBVXWWWVZkuvd+aZZxYF5aHqrr7f/e5XlJhu6xe96EVF4B73uMeVClesYx0sy0B897vfXVoqXN4PfvCDi6DsuOOOTYlkPsIAFCvz73//u3iwa04//fTeve99795aa621WIPioosuKg2ZX//61yWmljyKAdMAqfnMZz5TFJbuawana1BA5DtwDyrNMAApKusq2BqKzHZdMyDvZ599dqmoxfJstNFGRebf9a539U455ZTey172stKdvc4665R3h9JMktHgzfnQhz7Ue+ADH9jbbLPNio4lw/Rp8Ic//KHIHUOQ/v7Vr341omtf+cpXlvLrr79+ibtV4TIGyF/Nm9/85qLLH/awh5WwCxX2Djvs0Lv00kubEsl8QG+OMQpiEj/+8Y8XPWaswl3ucpemxMSgx8WdMwzJ4FOe8pQyYFGD/uijj25KLQh7I8Pk3QAZhuDd7na33t/+9rfe8573vN6Pf/zjcqz3QCicLnJOg4DOdt+nnnpq7wlPeEKJOXfvz372s8v1lnkGP3pWcdRRR/W32GKL/kBZ9Ad/cn9g/fcHBlz/n//8Z1NiIfY///nPb9YWcOCBB/a33nrr/qACbbb0+4MKt5zztNNOK+s///nP+xtuuGF/IBhlPTjvvPNKucsvv7ysD1rF/UGl3//Nb35T1i+44IKyPmjhlPVkbkHWBsZU+T6o4PoHH3xw+R4MKsL+pz71qf5AKRQ5GSiCZk+/v+222/b33nvvZm0Bf/7zn/uDRkj/y1/+cln/+9//3n/605/eP+6448p6QGa33377/vnnn1/WBwZhkbNYH1S+ZX1gVJb1gBzbPmgIlXXyut122/X32Wefsh4MKtz+Vltt1R8ovWZLv9yTe/nHP/7RbEnmE4NGSv9jH/tYs9bNWWed1R80Nvq/+MUvmi0L+MIXvlDkbtBQKevnnHNOkbv2+zJotJdy5L7mhS98YXlfgpNPPrnI4tVXX91sWYD3YptttmnWkvnE7rvvXur3QcOi2bIog4Z5keEf/vCHzZZuyOSTn/zkZm0he+21V/9FL3pRs9Yv1yGTYSMEgwZM/6UvfWmztoCrrrqq2Bg777xzs6Xff9vb3tYfGJTN2kLIelsfL4vMKo8iXv7yl5dYxVe96lUlFsygAh5C1np7RBRLnReyhmeQt0frN7jXve5VWgk8M1httdVKC4O3sUZ8mi7Arm7FZH4xqLgWGXWs+0KX8aDiW0w+BsqqbOMZrLnnPe/Z22CDDUa6OXS7kS8t1Bpe7H/961/N2tRwHwLDa3hBxTvWrfKVV1653Itu7iTpgmeEx5pOraFPxdXW7wEP4qCibdYWQO4f//jH9+50pzs1WxZgQELdu+Ma6623XolPr+GNdA3enmR+4bmTMd28U0E3sp7CNnpWahlkH7AnNt1002bLApmWoq+tr42foE8jvZRP4W96Mds8//nPL97JZZ1ZZyjCaLwtttiixAOItRJPpSuPAVkPMlB5C36tUfkNi72yL6C8dCWKhdFlonLV/VF3ASbzFzGxjDcKACozCkJjot3tLEzirne9a5Ef3c+xDFqTvSuuuKJ0R0MMIWOtPXhFd950QfZ1mdSQe13dSTJR6MOvfe1rJVZMt5xwiUMPPbToaJVroLJkQNYIjXjAAx7QrC3Ee1TncBSb7t3wvtTvj0pehol4f5L5gbEHnrmGh0aCuL/JErpWV7GR0xxQnEicAJFlAmS53aBhpDr+/ve/f7NlIbrIQ4bFjntP2Ce1DPvuus4tlGJZZtYYigKXP/KRj5QYlzaUjThElXRtKHoA7Up3PKjoxb8wQLUaHvOYx/Te+c53lviZSOiZzG8YVg95yENKzAlUlmKnUFeQYJyJhXnFK15RYrde85rXlEUsi6BmAfpgsLWPDepGzHgZdq6ud2JY2SQZxvXXX19SkogVI1PirsR2GbCid6Yts11y1xWf1W7I08diE70r8e7E+yPe9pGPfGRTMpnryCXLE83QElv4qEc9qhhg4l4ng4F822yzTe+0004r9gOHkMFVXT1DXQNpyXiXDNfOArqVHcEAFfddy6+BWRxeHAnLMrPGUNRyJBDRTdcFq30yFWobLRStWANfDCzYfvvtew9/+MPTSEwWQfezgGWK4Oc//3kZ9NQFjyClI9BZo8Mgklh0+9oOnhQyVnd5wCCVYV7wmnYZgdaTaSglyXjQcKeXP/e5zxXvnkqWLDMg6eG2PLYbI8svv3znYBQpzupctDw5QiDWXXfdRd6dDTfcsIRvtD2VydyEDBjIarBghDEYoazelzJvMhxxxBGloWHgCsONDtcLaQDWWLbEgx70oCLjv/zlL5stCzHSPwxLHkf6330KNaplWJib+kGqv2WZWVOL6C6jGL74xS+WWK42DEgPTKt2qugS8ZDbD48BaVu7azGZnxj9TFHst99+pSFBEXRBbiWApZRqKD5exo997GNl3fkoJx6ampC7YUSMbXsUtgo8E84mk6XueutCQ6RLvj772c+W7XX3cRe8keJ66+T1RubzztfXFuYhzrftNRIW9OIXv7h465O5j9AdDYhIjRPwyJFFo+XbjGWA8Xy3GxqcRBwA43E6idPlUKob90ZH6/kMQ9G7sPrqq3fOKiNVjtC2ZZ1Z5W4QQyDIVNoarmc533Q5C/YXt2AKHznuAlZ826iz3qVYbIuyPEXiz3R1cElLHSIQ9fa3v305p7xNoAgdFy3n9noyt6AM6u4I8qBVecEFF5SuioDRRg7qipIyU9lptZKnT33qU6WSk35JIllQgjwz4m5138mzKM+h1imZivPF+UPOGKG8LSpo+efEvYh/0ZXifseST2Xa3SdRtu0FSuYHZEQYz0tf+tKSdiwWMqtxAzIvJIj8iufWMJHug0yTqUjfNEyWGIAGDDIA9Nx4R4T8iDevZdRgAWEewjak4vnyl79crhnvx2RToySzBzGw4hLJSBtGmDELDLTITUt+GGr04Ute8pJFZJiMRaPdYFeyS66kq9Fof+5zn1u8lhotAf1Y6/5A2JB4XI0eDgNxutI4GcxSy7t9zuH9YFh+/vOfL+nIeC41eJZ1brUv3+0sQhyY7g0PgeePQcd9q8+/PZpTF8jaa6+9yGAACksrg5enhlBwQVNyugONsiOYWrw8PwxFCsvxDASCwLC0yL9EWAiC++JeTk/O3IMc3Pe+9y15BgMNFwpJeEJ0l5EBrVLyFK1Vx2mAaGTIuaWCVVG2FZ8gaJUn49BAGbLNaHSceBzdIs4fXXExWMtoPHKt205Z8TuMRYqIfIqpbMtroLtb/lFxYIFyKnhlyXsyv6BbGWfCIchGe/EO+CSfenJ4s+k/xpxuQbpXL5AyGli8M49+9KMX6VIGjwwd7Vhd0SpUcmcwgQo90CVIL0vULcxDl7OGvNyLydyGPjO6mAyQly7oKbaAxgk5o78Yi2wFGRxq2bWu/o5QIKEN8tySLbGCnE+6hb0D7AFyzPOo4U3ntmF30O+uyWil08VSkulwXPGQMxK9C94V3nFZW8g7uV/WucWg0kmXQZIkSbJE4VlXMesJqjHLhq4/npckWZaRmk+DXwO/hmNJA2g2dCuPh4x0T5IkSZY4BmkJJ+IhDBiIMglIs5Mkyzp6HE1fqQcp+MQnPlHS3UQWjLlAehSTJEmSpYLIJ910QiN0Oeuae+Yzn1lieZNkWUfYjrhyuRJ1YQtNE14hLGI6BtYuK6ShmCRJkiw1xNuK2RILK24sRosmyWyBB1EspYFVXUnkZztpKCZJkiRJkiSdZIxikiRJkiRJ0kkaikmSJEmSJEknaSgmSZIkSZIknaShmCRJkiRJknSShmKSJEmSJEnSSRqKSZIkSZIkSSdpKCZJkiRJkiSdLPU8iibuNoXTDTfc0Lv73e9eJplfmpgI/Morryz3ZULwFVdcsdmTzCfIJFkwIfzDHvawZuvSwbtxxRVXlEnnyeRKK63U7EmSyUOeLrvsspLw+h73uEfvIQ95SLNn6XD99deXxNuqpPvd735lSeYvl156ae9vf/vbMmEXzHsdzFDs4j3veQ8DsizPfOYzm61jc/TRR48c9/rXv77ZujiHHnpo/y53uctI2XoZKIj+Jz7xiaZkN7/4xS9Gyn/xi19stk6Om266qf/iF794kXuolyc84Qn9n/3sZ03p6WfnnXfub7LJJv2nPvWpncuTnvSk/rbbbtuUnr8cddRRI8/kiU98YrN1bE4++eSR4174whc2Wxfngx/8YP+e97znSNl6ufe9793/0Ic+1JTs5g9/+MNI+U9+8pPN1snzile8YpF7qJcNN9yw/8Mf/rApOf2MRya32267pnQyney5554jz/lFL3pRs3VsDjnkkJHj9tprr2br4rzzne/s3/GOdxwpWy+rrLJK/4QTTmhKdkPuovzpp5/ebJ0cAyO1/7znPW+Re6gXcnb55Zc3paef5z//+eUaXTJu8Q68+tWvbkovYLfddiv3dqc73anZMn848sgjR57NU57ylGbr2Hz6058eOe4lL3lJs3VxjjjiiP6g0TJStl6WX375/kc+8pGmZDfXXnvtSPnjjz++2To5/vvf//Zf+tKXLnIP9fKYxzym/6Mf/agpPf3svvvu/Y033rhTLi3k9hnPeEZTemYZaijiQQ960Mifct555zVbRyfKq3C7+N3vfjdSZqzFiziw5JsjF+XKK68cKfflL3+52TpxPvrRjy5yzdGWmXooXdfqWpJ+/5GPfOTI//H1r3+92To6Uf52t7tds2VR/vrXv/Zve9vbjpQbbbn1rW9dDMIu/vznP4+UO+6445qtE6dWqmMtKrKZoOtaXUsyM6gU4z++5JJLmq3D+fe//z1SfuWVV262LsqvfvWrkTJjLfS3BnQXP/7xj0fKnXXWWc3WiXPYYYctcs3Rluc85znNUdNL17Xay4orrtiUXsAee+xRtt/97ndvtswv1lhjjZH/5tvf/nazdXSi/HLLLddsWZS//OUv/Vvd6lYj5UZb6Gq6tovf//73I+Xo0cnCyKyvOdoyEYN5Ioz3/1gSjHqV//u//5vQDa211lojZf/+9783WxdSW/uW5z73uUV51fz6178unoq63PXXX9/sXUit9L7yla80WyfGu971rkWuw8v5r3/9q9m7AC1mHs4os9JKKzV7po8494477th/wxve0H/ta1+7yKJF+5a3vKUpncT/ZRkL3uAoq5HSRkOkPt/WW29dvNU1v/3tb/sveMELFil39dVXN3sXUhuKk23NfvjDH17kOrw/vC4155xzTv+BD3zgSBkt8Okmzj2aTPKsJDNDWy7HgicwyvKEtKl7YCyea1uGf/nLX/a32GKLRcq19SEuvPDCkf3f+c53mq0T421ve9si1/nABz7Q/89//tPsXcA3v/nNRTz8D3vYw5o904P3Os5Nxl/3utctJuevfOUryztYEx7fYc6Q+UD8b5ax2GCDDUbKdhl4Gur1+bbZZpv+FVdc0exdAFnl/a3LeX5t6l6dz3zmM83WiUEW6+uwE/75z382exdw9tln9x/wgAeMlNGwm27i3DvssMNQHfymN72pKT2zjPmU6+4+XQTD4EGJctzTXcR+y1itZB7MunybqRqKP/nJT0aOv//9799sHQ6FEeUJ7HRR/85kfHzuc58b+c+e9rSnNVsX56tf/epIuQMOOKDZuii3uc1tRsqcf/75zdZuLrroopGyljZTNRRrL/l4vBXRBWYZ7X+YKOeee+7IeZOlRx3+86pXvarZujh1xTas2zj2WzTGR+PUU08dKcuD3maqhqJKNo5/8IMf3GwdTm0gtLuBp0LtuZ8IaSj2i5zFf6dxMQxhYVGOPHdRe87G6sqt621Lm6kaipdddtnI8eN5vrvssstI+enscfzpT386ct5lgXHdhZZc3DQl0UXsX3311Zsti/LWt751pMwPfvCDZuvo1LFl7ZibqRqKXOBx/Hh5/OMfP3IMF/d0EJUBr2UyfsToxbMY1v0V+9tdR0HtUf7Wt77VbB0dHuY4hgeiZqqG4n3uc5+R48cL5RTHUHLTwbvf/e5yvvE0oJKZxTOI59v2suDmm28e2S9mqou6kfvzn/+82To6daz5e9/73mbrAqZqKMaxuhDHyzrrrDNy3LBwpIni/XU+umQipKG4gEc96lEjz0TjsovYL4yti/3333+kjAbEePjGN74xckzbozZVQ3GFFVYYOX68bLbZZiPHtHujJot4eeczjmNZYNz/RvwRljZ13NgwYv96663XbBkfunq7zj0VQ1HXXRw71qCZGl06cdyzn/3sZmu/v+666xYl/aUvfanZ0s2Tn/zkopSOPfbYZku/v9VWW5XzTdZL6UVjCMV93eIWtyjepbG8Y3OB+M2WNmL3Yp8Qii5i/3i8GjV1jE7NVAzFiy++eORYIRATIY6rY2XIo+XEE09stnTD0CST9UCdLbfcspxPl8dE8B6qPHQrwrXFy8X9+d94BAJGy6Mf/eiR/fe61736H/vYx5q9CerYw9vf/vbN1oU85CEPGdk/jNi/6aabNlvGB6+24255y1s2WxYwFUPxa1/72sixn//855utY1N3xb/sZS9rti4wIMnvWLFyQlDIGudDEKFSIa/jJQ3FhcQzsbSpHSv/+9//mq2LEvsnGlbw0Ic+dOTYmqkYinXsLS/9RIjjNt9882ZLv9g6dPBJJ53UbOnGwBQybLxEICzP+SYykPiMM84oMv24xz2uhDB1YSCaa7HZxrqvmuHapcXHP/7xkT/DiMjgC1/4wsj2YYNK6geg/ESoW7a1N3MqhqJunDh2oqy//vqLHRsxGKMZHFzqcdzf/va3ZutCZaw7FRTZPvvs0z/44IP7F1xwQdk2jLGCXcUxzGXqbg2j1gMvTGyvjfIa3W9R5phjjmm2jo+66/vMM89stk7NUDTCLY6dKBog7WMpH+uMr2HUXd1XXXVVs7Xfv9vd7la2RaUaMsmzNJpMRheoRtRoWQSMYq3/w/ai9yFZSD3oY99992229ksjN7YPM9h426PMaaed1mwdH/V16dtgKoaixkccO1HCOBAuEqy22mplmwbKMLyjcc06fjO2RXen7lRyrqE2WmhUGooL+exnPzvyP9YGvB6a2D5sUImY2Cgz0cF/ddhA7c2ciqG46667jhw7UWThaB8bzgpeymHUXd11zHA4f6JuUtd59/VAjuYEqgcgd3neY99EB2JN6B95xCMeMXKhCO6MdRXTMGr3ctcgl9H405/+NHIs4ymYiqEYXg5dfRNFYHNcNx5EbZjwAHSx/fbbl/3tllMcN2wYvpG6Xe7sON8d7nCHRQRMy02rJo4fb1fTbOWxj33syG+NwSqxzoMwjMMPP3yk3DXXXNNsHR/1IC+VRjAVQ3HNNdcsx0lbMlGim8ISslBX5n/84x/LtjYvf/nLy/72exDHDZNJni1Kvo3UFfbzQPk0KC0GokkvFceHIapyj4B0z0AKoiiTLErtmQ1i/VnPelazZXEMgotyw7w6w9DVHcfWaUmmYihGw5jRN1G6GlOnnHLKYtvaRKOJJyW48cYbR44bloaKPF533XXNEQtJQ3FR6l6BeN9jfaONNirrXdTpnLoGGo6GAX5xbN14moqh+PCHP7wcN5m0R+9///tHrmvQLhh0sa1LjmBQmf0Go9XEcbG/vXASDUvZF2XaIVfkP/ZNlAkfERdSQdeBnKMRFdJY5YYRx6q4gqkYigK0HSdH0UTRvRzXrVMGxbZhgyZif90VWLcmYuFy5vGsuzctgltrYvtY8XmjBcHPFeK3+s/8/7E+Gm9+85vHVW4YcWydS3AqhmIYT7rSJorKOq4rficIOfdbu4hj6m5nDYvYHkvIZN1QtBjcUxOGoqUrsLvuHTBisI0UGbG/9tQmi3ZBGzwgF12sj4a0MuMpN4w4tu5FmoqhGMdNJvC/HjApVCOIbRp/XcR+3d5BPWDH4l2R2UA856qrrrrIvnZDKw3FxYn/ShhW/D+W0XjjG984rnLDiGPpp2AqhmLkFp1oeBx46+O6dRhENJqHhTfEMXXIjcZ+bI9FL42BXGuvvfYi27///e83Ry3E9WP/+973vrKt7hEebzx+zYSfUP2yxlJ3CXdRB9xPhjiWFy2YiqEYx00mYXDdlSN9QyCo1ra73vWuzZaFiMWJY2p4SGN71zD3ukXfPja2DYttnK6A79lAPbo5lrEMDYm3o+xkiGN1+wZTMRTjOElUJ0o9ErBWjvvtt1/Z1o4xQ+0Fr4mBLBYNwTZ1d1H72NpQpLDb1PI8LD4t9o8VWzkfaaftsHR5dmu6usQmQhxbJ0meDkNxp512araMH6FNcXzdSA/Pd9eAwLp7vuY1r3nNyHZd7G3qkf91VzfSUFyc2rMbi7EAoxFxeJbJEMc+/elPb7ZMzVCM4yaTQaJOQl/rtre//e1lm7EDbdgPcUxNndRcw6VN25Dsok4xWP8ndYjWRJjwXM877LBDb8MNN2zWer2BldsbWLnNWje3utWtmm9T4w53uEPzbXq46aabmm/jx7RuQX0/++yzT/k05dCvf/3r8j046KCDyufgxSifgf9u0CLonXzyyb1DDz202bqQBz7wgb1Bhd6s9XpHH310863XGxiI5fOEE07o3elOd+rttttuvR//+MdlG+585zs33+Y+m2++eW+zzTZr1nq95z3veb1BBdmsdTMwnppvU2PQCm2+TQ8333xz8238DJPJvfbaq3yajnJgTJbvwYEHHlg+B0qxfAavfe1rR2TykEMOabYu5EEPelBv0Hpu1nq9QUu1+bYoyy+/fPNtIcstt1zzrddbZ511mm/duOdkUTybNdZYo1nr9XbffffyPEZjWdW90ynne++9d/m89tpre9ddd135HoTuHVS45TOwfWDI9AaVdW/nnXduti5ko402GtG3//nPf3qnn356+Z50s9VWW/U23XTTZq3XGzTEe4997GObtW7mg2zuscce5XNga/Uuvvji8j0I2XzGM55RPoMdd9yxd/755/c+97nP9T784Q83Wxey4oor9n7wgx80a73e4Ycf3nxbiGMHxmn5vsIKK5TPu9zlLr1jjjmmfJ8ok6ot99tvv+bbwgpnNB7wgAc03yZObcytuuqqzbep4Q/DNddcUz4nwlVXXdV8W2DIBXe9611H7u/d7353+QwGrY3yGRV3wMjYYIMNettuu22zZXE23njj5luv96Uvfan51usdf/zxvZVXXrl8/+c//9k7+OCDe4961KOKcGyyySalop9P1DIZL+Bo1LL03//+t/k2caZLJu9///uXz0FrsXxOhGEySRbIBN71rneVz+Db3/52+YxKNhiPTNYVQi2TY0FZBrXRmIyf+nm94x3vaL4NZyq6989//nPzbfrkPCqvqcp5bSDTg/e85z3Ld3owuPHGG3u/+MUvyve3v/3t5TOgrxkyT33qU5sti/OSl7yk+dbrfeELX2i+JcOYqA6uZXOiDcNal0yXbIZBNZ06mJ5bc801y/f3vOc95TM466yzymc4mQLHrL/++r3tttuu2bI46623Xu92t7td+T5MB//ud79rvi2AE2uyTMpQ9AIG9fdhMFyC733ve8238fGtb32r+dbrPf7xj2++TY04z4UXXlg+J4IWaNCetH7fffctn3Ur4LDDDiufWhmrr756+T5Rwovw29/+tnwGv/nNb3pf/epXFzEmceaZZ/a23377opT/9a9/NVvnNlORyVrGxgNPRDBWq3m8xDNse6PHwze+8Y3mW28xGQsl9OlPf7p84hOf+ETzrdd7zGMe03ybGI94xCPKZ1smx0ut6JPxMxU5v+SSS5pv4+PUU09tvvXG9NCPl8c97nHl8zvf+U75nAi1nLc9+aF7ay94GI0MAF6YyaC3BpOV8/nERGWzbnBO1GOrjgumyy4IGY/GxUSo7YKHPOQhzbcFhA4+9thjyyeOOuqo5luvt+666zbfJkb0ygyTzeuvv775toBwDkyKgcKeMHVKnPGOGI3ypkibCHICxbE1U4lRrO9/rPxbbeI499VF7I8YGulJrA9aWGV9MkRaCPFGo2HAi5iIelL1yYzsno3UibDrQPfRiPJj/a9tIs+gpWYqMYp1zGCkShovcZzBPF3E/gjml8bJ+lSm4Iv8ffWAsDpGsQsjnGN/jAxsE/sn+v/NF6TLiP+oTrM1GlF+ovFJ9ZSsNVOJUazvf7wTLwRxXJ2rrib2x2hQGSOsywowWWIO+Be96EXNloxRHEYdczfebBtRfqLzJddJrmumEqNYp/SRjmYixHHDBiPG/hhIEtP/kaXJEvmrhw2+iWvWy2SZ1JGTMRSlcIhjxjsUXr61OKY9feBUDEXEsRPJfB6Z/C3f/e53m62Lsu2225b9Eawd5bvmX41RVvWAiC7iHPV8z2ZkGG3ARj2ibFjC6bnEZAzFOi0GWRsP9aTz7aDnqRiKiGO7pk0bxt577z1yXD2qsyZGyEYjLcp3GRp3uMMdyr7R0l0hzlEbm2kozjyTMRQjPYxlvOnJ5MuMY9qZE6ZiKCKOnUgjlqEWxw17vw0Es9/AQGlaonwXsa9rsEBNlKsTMKeh2M1kDEX1ZBzzm9/8ptk6OmyOOKY9en4qhiLi2Ino4Hre8mEjimPwZKSyivJdc6mv0MwOU6dz6iLOYWBWGw342I/4Lu/oZFhihiLiGMtYOb3qdBCWNrWh+PWvf73ZOn7qhL+1V2QYdYLPYdMUIuZo1BKNUYoScnfRlSi5TT2nZiRFrkfkdY0uxaWXXjpSZj6MgJ6MoYg4xnLjjTc2W4dTl28b4LWhOJlRu3Vag9ESCAf1VFajTQFJAUe5GAU6TGFEZWsZRp35wAi8IA3FmWcyhmI9zV/XCPg2dZoiS5vaUBw2ddtoSAUSx/POj8VRRx01Un60vHwx45YelZiec5inKjzit+gYjRq84x3vGLlu3dBPQ7GbyRiKiGMsN910U7N1OHX5tgOmNhQlA58obIk4fli9XVNn3Fh11VWbrYsTkxuQt9CT0o11YTaWOOcw6lHmbScHAzn2heFaZ8ao81GPl+F3MgqTNRR5wOI4yyc/+clmz6LUFY6FEdCmNhTdDwhZ18Lo7EqEHUmrLaz4LgODMVAP47eMhYTEykUOJcLUhez/cU5Z3NvUxl57f2wfNhtMTJ80nophLjBZQ7H2nFjqnII1Znipy3Wld6kNxZDtLnm0kMeu1mSdc1SqpWGT5Nd59Cxjsfzyy5dyIZPDZkLw38U5N+2Y8q2W2XYqnzQUZ57JGIqo879ahs2WIe9aXU7ajza1oRihO10ybiHnPtvUXk7JxLvS/Hg/6krTMhZRLmatGpaipTZq6m7loNYndf5epKHYzWQNxToxtYUe6aKWfQuZblMbiqHj2jIZyzC7oPZyesZmluuiLmcZi8iVGzp42BR6HEJxzi6vYj2jVtekErGv3SukVzb2DZuEYRhj/7oOJmsoom0sWsxWYi7Oev7GWIbFENaG4niWYd0c9XR+FhY/b44YxIgvjGW83dR10mfLaNQzJ+j222OPPco0PbVnh4C1qeMpLNzPcuA5Xwik5Xvf+15zxNxmsoYi6hxYsfA4kEmy2d4XDZM2taE4noXXuQvdue2y4lHIJDmutztHl8HZ5ogjjljkuNGop7IKmSRbY8lkGoozz2QNRXTlGzUbBTmPuNV6qXMV1tSG4niWYd5rCa7rcow78Va8hnWctUVDZzzUifQto1E7CszCss8++xRPZEzJaqEH2qSh2M1kDUW0jUULe0D8eEzTWC/DpguuDcXxLMNmYaknE4kldHA0umPhGGJ4joWpIevjRsNsM1FOHk+zEvEE1rGZYnDbdM3gVBP7uuaNH43R73YIdXcog20y1HN+di1jBV53zWoy2jKaomFYxPQ9XYt4hYlMEl5P8TaeAPI6KWx7GW16rtpN3l4YEGPNFT2XEJ8Xv32YF24shk1ZFwvP8n/+85+m9OLU8YvjWUaLg5GcOoKVhy0T7UKI47baaqtmy3DqTP7txSwBXdRTcnVRz689LB4p9tcT5CcLqadrjOnSJoKuujoZb9cidnc0zAbRddywZbQ58OmoLiM1FhVaPWvFWDCe41hx2mMRXdRdS1fsF17/+tePlEkWUs+9355JbLyMNke8hVdstLC1On5xPMtyyy3XHLk4unTrAV3thVOJzpsIcex4Jvuo7az20jWzUd0bNczBZgBZlGF0jpcSoDE4aEIMDKHe3//+d29Jb9Dya7ZODjkGJYoevOC9u93tbiU/0FjJeOHaf/nLX3qDyrbZMhxlpYqJ/InDkE9PSohBJV2Sbt73vvctQ+bbaXDGg/9HotaJ/D9SBw2MnHLcKqus0tt6662bPaPzs5/9rCTg9B8ODOKSEL3O5TQf8Oz8ftz97ncfydc2GcjjoAIrSVTJjFyE5HI8SEkwXpmEfG5jQSalbPj3v/9dZHLQqh3JoTkR/vGPfxS5noxMOk7es9FkUhk5PeEZdBEpG4bdg3fafyNh/KAl3WxNArrBc5wO3SuxukTsN9xwQ3le8mdGzrfRkPPOuzEeOVdWYuWxJgC46aabSvqOK6+8svxGeUWljIrcdhOBHqAPJvL/yGl30UUXlfuVo3GLLbZo9iyO91DasVve8pbjen/nC9Opg+kcCznzH9PB400jMxEdPB67QDk6+Je//OWIDpaSZ6WVVmpKjJ/J6GA2kvrdO8Iu2GabbZo9izIwkst75n7ZUsPwvivjWY23HpmUoZgkSZIkSZLMfaZnHrMkSZIkSZJkzpGGYpIkSZIkSdJJGopJkiRJkiRJJ2koJkmSJEmSJJ2koZgkSZIkSZJ0koZikiRJkiRJ0kkaikmSJEmSJEknaSgmSZIkSZIknaShmCRJkiRJknSShmKSJEmSJEnSSRqKSZIkSZIkSSdpKCZJkiRJkiSdpKGYJEmSJEmSdJKGYpIkSZIkSdJJGopJkiRJkiRJJ2koJkmSJEmSJJ2koZgkSZIkSZJ0koZikiRJkiRJ0kkaikmSJEmSJEknaSgmSZIkSZIknaShmCRJkiRJknSShmKSJEmSJEnSSRqKSZIkSZIkSSdpKCZJkiRJkiSdpKGYJEmSJEmSdJKGYpIkSZIkSdJJGopJkiRJkiRJJ2koJkmSJEmSJJ2koZgkSZIkSZJ0koZikiRJkiRJ0skt+gOa70uct771rb1Xv/rVvQc84AHNlm6+8Y1v9C6++OLerrvu2mzp5ne/+13vox/9aO8Wt7hFb4cddug98IEPbPYsyk9+8pPel770pd4d7nCHkXP+9Kc/Ldtue9vblnV/y61udave3e9+997jH//43kMf+tCyPZl/7LXXXr2tt966t+666zZbFuerX/1q7/rrr++98IUvbLYM56ijjupdd911vXvc4x69V77ylc3WxTnooIN6//3vf3vbb7997+EPf3jZdvDBBxfZDHy/4x3vWGR98803b7YmyQKOOeaY3s9//vPe8ssv33vRi17Uu9e97tXsWZTjjz++d9FFF5VydOcKK6zQ7BnOgQceWHTtox71qN7Tnva0Zuui3HjjjSMy+5a3vKXI6t/+9rfe+973vqJ/a1m+y13u0ltnnXV6G264YbMlmevss88+vec973m9hz3sYc2WRfnCF77Qu+CCC3q3u93teltssUWRtTZ06XHHHVfq/5VXXrn34he/uMjZaPzxj3/sfehDHyp1/LOf/eyh9fvPfvazcg+3vvWte29729vKth//+MdF39e2gv1shSc84Qm9Bz/4wWX7XGKpGYqHHnpo7/3vf38xztZee+1m6+KofCkOAvDtb3+72doNY1Kl6gE+85nP7O2///7NnkV5+ctf3vvBD37Qu/Od79w7++yzyzb3QRAoq/hLVNL//Oc/e//61796z33uc3vvfOc7y/Zk/sBYO/roo8uzp1C6+M1vftN7ylOe0ttuu+3GJSPK/frXvy6yRWYpqza/+MUveltuuWVRQCpV58ejH/3oIp+O8Wm56aaben//+9+L7H7rW98aagwk84drr722t9lmm/X+7//+rzQgrr766t4555xTGinkqkZDmJ61XSOaTB577LG9TTbZpCnRzVprrVV07XLLLTeiR9uceOKJxaC8+eabe+edd17vnve8Z7m3jTfeuHwHGf7f//5X9Ow//vGPct5TTjml7EvmLh/+8IeLvvz0pz/de8xjHtNsXQB5YHT96U9/6j3jGc8o8nvuuef2Xve61/V23333plSvyJ3G+SqrrFJ0o3XHfPGLX+ytscYaTanFoV+d9/a3v31p5LzrXe9q9izKa1/72t53v/vd0iD60Y9+VLZ97nOfKwZubSt4z+jzf//7370XvOAFvQMOOKBsnyssla7nPfbYoygsFVpXJVnzrGc9q1jqHuhY3PKWtywtj1VXXbX3zW9+s9m6OB78fe5zn1I2UCFTZoTge9/7XlkYk5dcckkxLD/zmc+U45L5Ay/zxz/+8VKhkY8uzjzzzFIhk9FankZD5Xq/+92vd6c73ak0ULogb2RUJVy/I+5j/fXXL5UuGf3+97/fu/DCC4uCpMzIapJo1KjILr300t4hhxzSO+mkk0rDnHzwpgS8fDx8jMN3v/vdpfeGh+cVr3hFU2I45F0D/i9/+UtpLHXhuiHH9DN8qmB32223ETk+//zzi0fziCOOKDrXvSZzl3333bc0gO9973t32gC834yuyy67rPfe97636EPyQpZ/9atfNaUWGHIaOmeddVbvPe95T5GnNddcs7fjjjs2JbpxTTYFW4HMD+M73/lO8a7X9sdtbnObYit8+ctfHrEVfvjDH5Z3zXV5563PJZaoociK11rkyn3zm99cWpCjwSNIGfGm/Oc//2m2jg7vCuOS8tI6bqOlquLfaKONOs9JabZh2KrcCU0yf1DZ7rnnnkPllJf5Oc95Tql8VcpaweOBp1rlSQYpwC4+//nPFzkmz2265JbhqbxKNpnfMPp47VTGNeRDt9hhhx3WbFkgZ7w0Nbw8PCSf/exnmy3dqCyf9KQnlUbSySef3GxdCC83HTxMjnlg2vBqCkXi/UzmHldddVXpPj7hhBOK4delWzVkGH56HWte85rX9HbaaaeROvr3v/99kTFGZQ0Po+7ov/71r82WbhiidLzwCA2VNgzIu93tbr3HPe5xnTq36/w8jYzQYR722coSNRRZ2dzJLG/Gnwc1DApG61IsAGEKF+9YeKAEkbLpUnSf+tSniiANu3aX54ggKa/1kcwPtAyFRFBMXRUaY++3v/1t8SiKcyUjE0H55z//+cUj2FZCPIQ33HBDb9ttt+2UU57DLijOu971rs1aMl+55ppriozwrLRZbbXVRrrQxFrRq7rsalR0K6644pjGmmMt22yzTfEcttHtzDEg/qyrou3yJEEFzFOZzD3InFjvyy+/vHT9dhmKp59+evHgsRVq1M28huJYobHNO93u6WP0kS1G3miQSd3TD3nIQzrll62gkcMB0GV/8Cy2YcRqQOkKn0ssUUNRl8YHPvCB8r2r8q3xgLQoKLwuJTMMD9SD0lLguaxxHkLlProElCCKHdPqueKKK4oHlLIUU8Zo4D1K5j68zgxA3r4uBYFoNcYgk4nCABR7S9G1u591XYgrE+zf9lJ6H3hntLrJqIUHybvyta99bRFvUTI/0Vggt2K12mhM8LaA15E83fe+9y3rNbZpCI0FPUpXK9vufibHGkNdjR3vj/tzHBn+5S9/WQxY3nkyP9divJIFGDtgwCnEo3ah3tVQgfhBjQZOGrKkbq9hT9DT5OWMM87o7b333qVL+CMf+UhTYnTIr54hDqk2p512WhnYNcxWuPLKK4vMh62gx9G7wBDWyJ9LLJUYxbHgxWHpj2cEaRcerEEtvDJaMIH4Q5a+2LAu49Pglp133rm0ZHSpPPWpTy33YjTVO97xjqZUMpfh6XvVq17V+8QnPlHWeQ5ngjAAn/jEJ5Zg7hqGqoDoLi+lVqy4nQ022KDIqGWrrbYqMb88O4997GObksl8RQOER8ZArBrxWxrCIdPRWNcgaWPbWI15aLSstNJKZQR/3YOjIaPnSIO9q6IVs2hENnklw3qYlDVgQZdk1z0l8wPdyeT3kY98ZBnprNFuhDK9Jx6x5slPfnIJ4THqmdzQpXQqmRoP0dBhtIo1DIRSkGthasNsBV3hcS22wste9rLen//858Xeu7nAMmco8q7w4omdCXhdhnW3dSG+htuZS7lWXoRJBTwMAsojIz7CCGsDYrSKCSOBVRkncxtpcMhIjPiMUISubobpgJdaV0koI5U5bxBDcFh8ou5DXdZk1MKw1JDRAm6PHkzmJ1LSkCVyzNv8+te/vgxQ0ZgIQqa7YmttG9Y13AUjr45T1O0cstjV2FJBS2NC15PhU089tehq6aLEhL/0pS9tSibzDfLC2/2mN72pyK3UXzyL5IMXWj0Oxt0jHvGIoicZkQaf+vzDH/5QQh7GA1uBUapnqLYVxFDyNKKrV4mt8MEPfrAYsWEr6KrmZGI0yhowl1imDEXKQ7wXy1yMotaleC39/h4W76AuirGIB6sSju5nQuX4ePhdEBoubl5HQd9yK6mwjboystWIq2TuIl2D+C6VnkrWotHAAy2mhjx2tS6nArlSYUc6EA0T3TPoUlC2UWxG4pFRC+87D7rKWYv2yCOPbEon8xUNW91pKkAyrOFsVLHBgRG7xStCnrq6APXGTCTelVdGChMeS/DsjNYoZwzI2aiLkQxr1PMgvfGNbyyeIXFqOTBrfkLf6mJu19UMRnpPXkXQc5xIDLSAQ0mDRW/MRPSgbm2hOyCbGjC6nYfBVnjQgx5UxkKErSDW10juTTfdNNPjzCSGvXvAUpLoTvPwVJoSxopzYal/7GMfa0qPjQqfwtPKUBGvvvrqI7m7hkEAuuDe1spmSCRzE+lwPH9yQ0lZXvKSl5QKTQuR/Mk3N93ouojRz+JrRqtg0eUBAmXFEBAzkyS8LSpLui8qLo0dehCMM7IkJrsNPaciHC9kTyXuWgaj0OWMx9Ho8jRC17nGk7ivZP7BWUMPdzWUyUV4usntsJyxYmzFEI4XMYVCLdQBcjB6NwyWGY1hToPwpNdpqGY7y5ShSIEJbmbYCRKNhaUuZoXbeVhizC6kbaAsv/KVr5RWxnhiHiPbehvuZd2QEWSbzD1UqjyHKrmQPZWVz/32268okvHMWDFRGKS83ZJl8+LEqL5haEV3YTAA5aWFm8xfVLL0Xjv2lf4004TRptBzwrvYzjnLSFTJCbmZCOSYV0ajZzwxYhHW0cZ7wIAVYpHMP8id7uS2XJJrXuuYIYv8dg3YgkFbExk5L72ZLAFC34S9jcdWGJY3lzecMcvBMFdY5mIUu6A0hnlRxsIIZ4qLAcBTNBqMRN2NRrMaQSX+gOITSyMmzMCWZH6hVcvz0dW6nS7EkelukbOx3d3ShpHISy6uMWSUYhLsLaWPbunRpgVM5j4MMIaikBmxVBC+w8PHU1JPtydhsZmHIu+bypgXnVennZ5kLIQ/iC0Ty93ObdfGPWqEyUIRcsxAFJ9oVKwsE8OmdUvmNpwxem9M8SujQyCUTLiEOh2m/6WXyXWMhia/yumCNihxIujJ4REX9jaWHmYr8M7XtoJQDwamrnH3NpdYalP4iT2MjOpd8zfWMNQIzFjZzrmNnZP3MFrDFCUPi6SZdbC1B8qLo4UN+yQB1xIgbCBsFBovkkpY7GSgtS6mMv4+XePOaYQ05ReGrdGABki0cT1pdwLnobAZDGMJabLk0LLVvSF+cbSYFZWaCliMylhQghQb5RKosAVTk53wCAq54E0na09/+tPLNkHavIb1SFLGIwNReIQ8Y2QOGke1LDJ4KWHnEhDuPOSOzOsuac93qiIn/3X+ULE73huhIXMtV9hcgg4TpyjOT8+KkIn11luveEvaHmlTlwqtIDcaIUZ7MtqMTB6N+9///qVyNaNLQF4NJohYRYghk9RbSIR3iVeIvJmPtx6wRQ551MlWnSxcQ4hXP3Std8doU3Lp3Qj55uEh2yH/Ac+U+iC6LCFvHuOZUVxvT5Yc9BPvIGdMezQzNHj1BoZcmlRAt3Ddq+McUe+ScxNtkEvx2uIHhxG61aAV7wnoVOEWenQiXhFSNulRjBlhyJwGjfcobAXoFtddTaZqpxJHlZC62lZgT7hnhmbIL+9+V1od72y93TVl5eAFXVIp+5aaoeiy/jxdymONaKZM/JljKa44Zz1dFGJbfZ32OVWiFFBbiQ5zL6vM5WxyTteNh08pamHo3lERi5OglMIghWmzGMqUccADwMgg+NL4OEeybKDLmSE2WoVCxhhVw0IXaiKvnHPWuE49mX2XPFNmbRl1X67dRvoRlaSGCnkn45QoQ5VCNFI6vKWmTDOIILzucu2ZKvCTn/zkiBI3kpbxSIFTnmKJx+omT5YujDMVEqPKsx+GuMIwKsebG5RsqhwtAXlSkdV60zYyX8t2lxw7T3sbGKM8oRbnplcZiq4hhp0n3r04Z0xDqCy+/vWvl4pbSFOcm/zzfuqaNKo2YyGXHnReu76uYfgx6jQw4pl2Qc51N4tNNOhlLIbZCmSIXq5tBXYBuYuUTRO1FYTUmZ+6thXIJINTTDqHkfOJudRg83uDvfbaqzjTYlY41zboS3YWzjMG7WhTEE4bgxtPJsFDH/rQ5tuifPSjH+0ffvjhzdoCBi2e/sAoLN8HFWv/ve99b39QeZd1WD/55JObtX5/IED9gRHbrCXJ5BgYiv1DDz20WVuUgfJqvi3g6quv7g8q3/L9lFNOKd9f/epX9wct3rINa621VvOt3//Tn/7UP++885q1JJk56M9BpdisLWTQCO9vvvnmzdoCPvOZz/QHDfHyfWAE9t/4xjf2N9lkk/6ggi3bzj333LI9OOecc/rXXntts5Yk00+tN2sGRmF/0LBp1hYwaID3v/KVr5Tvg4Z6/5BDDuk/7WlPK+s48MADR/Zj0JBvvs0s3WZ8MiY8OLpQtFS1BOoRTm3vjrQU0Z0oBnKXXXYpLalAV57uHl2bup3NyjGWlzVJxkKLl2fQQlZ1nQze+bKvLV9ardES1y2oW1yXT3StkGFyqQteSh9B30anJslMw2NOdnVp07VkOWh7dYRGxGht8+7qpeGtCbmXa0/sJR2s14eXs2tmmiSZLshv2ApCKKQwC9q2gvjIkF86uG0r2K97W5ymrDBjjbuYLpZa1/NsR35FLmV/H0Uk1kKMozx4lJNYQ5WsUVkCW+UHC8Rb6PqQZBYRZyCWQRe19TqIN0kmg64NAwvE6pBF8bq6NgSEiwsWDyb8wnbxLrox6hkxxK4xCjfeeOMyeEYjxvHifcmoLpMlpaiS+Qv9yUgko+RY16A0aSpf8WW6JXXJicM0CCYSMgdmf9F1p8IWPiG0h6w7j/AK+4alWUmSqVLHfwsBss4eEJMuVII+JtcMSOFrBvEEwixkEIiuZ2FEGjfsDGMyGIxLxFZgKCYTZ7Su52HdfcHf/va3/lOe8pRmrd8fVLr9Cy64oFnr9wcPv3/ppZc2a0kyOXQ9H3bYYc3aojziEY9ovg1n9913759xxhnl+4UXXth/xjOeUb7jF7/4RX+HHXZo1pJk5tD1fMkllzRrC+nqeu5io4026g8q4vJdmM8HP/jB8h2+f+ITn2jWkmT6Ga3r+aCDDmrWurn55pv7j3/845u1fglZ+9nPftas9fvbbrtteQ9mmux6XgYQnKp1EBgAk90hyXQQA2faDN795tv44Kmpg/7NkJQymiwp6u63mhgxOl70BMXMHjBwYLRBPkkyk0xUD+sJqm0Fg3iWhB5OQ3GSDJuhw0iqrimxanSTGGUYcDXLgyfvmRF+RuVNZPqsJOnCCD7y2MV4Zpghx8IqAqP1pR8xx6luaUnIk2SmEapTy2Ggu06Km7Gga8OgNILfO2Ee4be//e2lwfOUpzyl7EuSmYCu7TII6edhDaCA3Br5HRgFLbTN/O3Cf4T+tLNnzAQZozhJDMXvmuLHg/eXilEchv3iEe5973s3WxYgDsy2Om9dkkwWFaJGiRiYNsPkt0YlTAnVaR/E3ErhJO4rSZYEKloyXKfhAdlWiY4VX2igYXuWDKmAGJ+Z3imZacTXds3oNZp+rumSXxOA0N9LKpdtGopJkiRJksx6eOCG5WRMJs8S/UdlSzfKjBVsJKZ0G3Ui6tE47bTTyswCkqQaPs4FmyTTDS+a6cd4dcmoke3jmV/c6Eujg41QqxddtdJxmF0iSZYUl156aelSpWstRqwPmxe3DW9bfayZUqSlSZKZQIiL2dfoW/Imq4I0chNF/J4ZS5LpZ4kZivKvmfnBcG7TipkXUfesXFa6skbD1H0qb9PYyIMl5YfZTswOkSTTBee61AVmsjDFopxsMupLxfGKV7yiKdWN4xiElFwsGkLyZOl6iDyaSTLTMOrIninPYg5l3azi84YNbgrkettyyy1Ld67ZoRwr56Yp8MQKJsl0wgMoH6tQGCmL2AZrrLFGadhcdtllTamxYVeIWa1n/0mmEV3PS4IVV1yxv+eeezZrCxlUsP2ddtqpWetm4403LikSaswY4ZzSdCTJdPCe97ynP2jRNmsLMVPOyiuv3B9Uos2W8fGb3/ymP2gl9weNomZLksw80m0NKttmbSGrrbZa/33ve1+z1s3ee+/dX3PNNZu1hTzsYQ8r70eSTCe77bZbZ/oY6ede8IIXNGvDkTZJ+iOzmGywwQb9E088sdmTTCdLxKMo4NhIXvNythkISclWPgzdJdLFyEJew2Oj9fCFL3yh2bI4klu+853vLN8Ff772ta8tSz034kD5lXkX999//8VG1gk2td8E3ya1l8A4mbtI6CuJdBshDzyDMSn8eOGZ0f3MuzMa5vs0+T10c7/0pS8tcivQGSaOf81rXlNkt54fPNASN2ctOTZ/82jvUzL30XNjZHobydTrWSG6kHy9axSlbXWmhi6OPPLI0m0tfMOoeD0+H/nIR5q9vd4JJ5zQe9nLXtbbddddO3uReO4dw3v/gQ98YET+k7kL3feGN7yhWVuInsNadrpgF9DNemt4IsczAh48jxJdq+/NikZ30q+hg3HIIYcUfSqzQztzBLvCqGP76eR2gve5yBIxFE00f/TRR5f4xDYMuEFrtVlbHIpHJd01Ibgpx0aLcdTNostbKgQZz01Jds011xSjT7yk/IWmxDGiyKwojM+AcSt3nNhIrnDHmhJqk002aUokc41XvvKVRUG0EV+o0hpNTttoeBgBT/7G4utf//qIPJJ3I98/9alPlfjG6Pa+5z3vWQxV32uFZoon8mzk3Jprrlnep5iJIpmfiNUSBlGjkSsEYptttmm2dKMxT0eavSRQERp5KVZxNI455pgi764v9Qe9raEtrZLZVexbccUVS6X+tKc9rVwnILP20+li0J2L3h0rfUgye7n22mvL8xXbDXIm9cu5555bGu31LFFdLLfccr1vf/vbvU9+8pNF1sbbsDDbCVkTViTFzN3udrfS9b3zzjuXmafk2mSoyk9o9hQhG4F4Ss4toXOPeMQjiu2gcd5+3+YcjWdxqWDmB119V1xxRbNlcT7/+c/3B8qjf/311zdbFsI1vcUWWzRri3PDDTeULpg6szkGFXBxbX/ta19rtvT7Z555Zn/VVVcdmSFlUNH3BwqvfA9+9KMf9VdYYYX+9773vWZLMtchd4MWa39gRDZbxmag/IrMjpV1PxhUpP3VV1+9yHrwjW98o3TJbLbZZs2WBTzxiU/sP//5zy/fB5VxCb8guzVPetKTSsb+JHnzm99cwnvoO+E642HQ2CjyODDeyrFm8alnjhrGk5/85HLc1Vdf3Wzp9weVaNHBu+66a7NlAbrBB42y8p2sr7TSSuV7zX3uc5/+Bz7wgWYtmWucf/75RQ4Gxl55/nSbxffnPve5TanxMTASi54eT9fzv//976JbyXbNoJFU7ufkk09utix4F+jygfFa1g8++OD+OuusU74Hur/JalsPzyWW2jhyyaVZ7zwvWpHDYP2jnUMLtnEjjwav4gtf+MJmbQFaBFojPDaB1gGie4WHRmun7urj8dHyePSjH91sSeYyujJ4kOXAGo9nMDjssMPKvLLm/h4Pg/ewBHXX3h753XR5vOpVr2q2LICcRgJW+Q0tvJH1QAOtbINxkoQnWiiDHhne57EGCFx33XWl65rnj/daV7GBLZJT63IbDbqYF9CxgTnweRfb3YvChqKr0KBGurzdXW5Qma69ZG6ifvXs9Yh86UtfKgOvLLzJeka6enemC7JswEyN+p0+NWg2kPWCfg67wP2S57pX5+EPf3iR1YGR22yZeywVQ1FXhD5+LlujmUeD+9mD6srM72GPlZWcO7qd7FKeJa7tGiP7arihBy2b0h1JEMyYwjUeGf6TuY2pvYzGEzZh9PNE0M2nEdLVuOmCfKvQa8go2W3P0ENOQ1Z9ShOlMUPJ6f7Q8KqneErmN7rXGIoqNlPV6WobDTG6GtHf/OY3i24Wh6XyVqk/61nPakp1Q15rIxEaTHRmW9/qKgx0O2+66abFMHjoQx9aMmGIURwrnjKZ3dCPjC5hYXXic7JgTMPxxx/fbJl+yGp7wgH6dJjODp2r4S51moYPu4CxyeEVDq25yhI3FCkb8YDiCgwSGYvISK6l22Y8s0ugVkqBynksVMAqfQNprr766t6+++5bPDrmV0zmLmIGKSoxqlKETASz66hU263V0SCLbQUV8jmWnMo/Js6WbFJgvItaxAK0k6RGJcfzbBBAF7wmBkIJ7G9Dni666KJSsQ+DrDIMu2jLcXv9ox/9aNG34UEUq6ahNtpgxWR2w1PN2cML3UavX1edP5102QXjQf0ghpfzSNyvxrn4cPHlc5UlaihK4krZaKGOd35NLQ1dGhLItpEvzAOaCYz+E2wrsJXX5qyzzioLD6cRU8ncRPAyD4zGwWRGuavseLnlVZwIYxmEXThGpa87RHiFxpf3hNdIsDUllsw/tt9++94RRxzRrC0kekOGyVpXr01w29vetnyO1f08GVxX49sglje+8Y1lJOwvfvGL4rEZT7L7ZHay2mqrFU/dr3/962bLQmQ7afemLAsYzGIQlgFbe+65Z3EkSA4uVG0uy+oSMxR1Y+hK0KU3WkwiJVa7cSkoD6UdI8ZzIv5whx12aLZMLzxCZtuo0XXDUJxsSyRZthG/Ja7QMtZLT0Z1X7QRW9PVQp4JjMzj9dRNWLPRRhuV+xtv13cyt2AQfvzjH2/WFvKhD32oZG9gkAXkJAxHvTcWI+3bmPFCAm8jRKcbI6N5D2u9z4BQT0SXXzI30c3cJW88dltvvXWztrhdsLTQTW7Efo0sFQzFuWwXLBFD0cwqrG5/qAzqBCAWKRe0gANxKuK16rQ34lUuvvji0m0tUF98o8pc63M0xUW4tIDbA14IXLv1TLkyPKPydw2DBsTL6P7QymU88mIK9k7mHuJSySh5NbCkllMzU9SximS0K75WfKCW8kTokseQ3bYxqlyU5e2Wo1EwuAE08oPyJPkd3itGQTL/MHOVLmJpPT7/+c8X3bXZZpsVnSqeKiDP5Lg2KnUBk2ExtqecckrxTMsHeuGFF3ZW6DXksl2Zk196NYzRgGxHWQNlxJG7X2mhdO3Rsbz7YiyTuUt4vg0QZRySOb0xGrm6dAONHLJKN3dBvsjZWINbMawseWx7zKNs6GGDcIUWeT8MGBT7qwuaR3wu2wVLxFDUheuPFXcgplAsVSxajeZ4DHQ3MBxrA1CANKXGFc3dy4PCoBxrVKl4GRV8ezCLawigruG5VFbcBFT2jFLXJhwHH3xwOQ+D1/3a1x5NDYNfdK0H7tWgnRoB4kZI6eKs4R01IKErAWky8/CYaOGSUc+4llNeGF28ARltdy9TKkZJ845MBHGvvIA1bXkMvEP1qHvxvhpM5FGeT3k/JYmNEaSMSSPyasSh1SP+EbnMAjJMRskjz2XwxS9+sWxTXu9AsuxBZjwzckhvSd5OxsTPGsUZaBSR49rDSL7kOTSohKfvoIMOKiOmecrpzdGgU+vzwzWEGbW922Sozkvq3rx7PJcHHHBAiT/XQNdIY4C2zwsVtfogkCWAUVujZ4Ac6x2qEyfTybYrzxBIlg703I9+9KPS4D388MNLvS4+3LYaMkhW24P+auhLvX5jYaCgsvIk1qjz2yOXw4aIsRLqBd3N3hlxtMLQ2ComRSDPckDWjq9ALmcTIwTKayDVyDXq+m0HhDh070s7A8YSZVC5JZNE3qb//e9/zdoCTHUVDFrqJTfj4AVotvT7A+HoD5Rh+f6Rj3ykv++++5bvAyHoD1on5fuBBx6Y+cOSaWFgMC6Wz5EMDgzM8l2eyIGSLnn2gkGLub/22ms3a/2R6eD++Mc/juQeG7TGO6eJS5KZYNCI7p9++unN2gLkC/31r39dvv/whz8s+e222Wabsg55cl/xileU73LdDSr88v2UU07pv+Y1rynff/KTnxT5T5LpYmDU9m+66aZmbQFsheC4447rDwzNRabEVOcfeeSR5fuxxx5bpjbEwMDsn3TSSeX7YYcdttSm0Vzio57nEjyApqUKxE2Gl9HUQGYz0F3DVR1wVYtzgDxl8keBRyhiInkUdRklyVQxJVoto+CFfPazn12+8xgZBFNnD9BVqTsl4HXhZSK7zgctbR7Vdss/SWYC4RVm9wrEu/M0rrLKKmX9/e9/fxlsaLBBwCMZo6h5Q2MUre7N2M6DKpwoSaYLuUfrEA/yFlkwDDY0wxadW9sF7IDwGLIhwvvIexlpqWQjCHthSZOG4hTwYOu4HQNuIrWEvHZvfetbS3fHwCAv21ArMkS3hwS0gS5OXS9JMlV0+em2i9yKKtN67mldk7oq6+43XdV1twwjUqPHKOraoFRGWEmSzDS60ev4NEZjnYxbxSxZch3TS46jyxDCiMRukuP2dvKdJNMBu0Csb2DOat3K0GDR5UwOIwsBGI31wK2IQ6+36aaXjWVpkIbiFFBpincww8D1119fjL324JraSER73fFobx+WjyxJJgpvTDRoBIWPlWOxS2bJqc96n+8pp8mSQmx3pKzy2U4e3h74hfHIq+2hh5NkqkgubyChxgcDUCNc/HtNLZdorw8b7b+0sgDk2zFFtB505WnRqpDHoj1DQUx8XieyZXi2BStJJovRpIKsIWdZPXihCzMS1Z5C33kPLXVuRkno2zNxJMlMwStjVDQZftzjHtdsHY6BDbWnkLzyypDjeru8eO1BY0kyFdgCQn4s45mGkl1Qexi7ZpxjcM5EeqrxkIbiFBE/YCSolA51l16glVsPwzdrhngaGE1tyiw4NqYsMlIvYsiSZDqQlkrcoRHSXURXB575zGeWGBqQX/Ey66+/fhmBKlUVNGbEJ85UwvskaSNXnbAcXXddXnFemTo9Dx1q5Da+973v9VZeeeXy3ajUmDQhRqsmyXRivIF0ZcYaRB1fwyisPeBkMmRVxoqY919aq+gNsr/rXEuCNBSnAekf6onEawznDwUFSs5sGo7Rqo3cS4baf+c73ynbtSZ0syTJdCHAWngEg7ELSe0DcY2UE1mUjzEGVmnNSrUiXYQUDnW6hyRZEkgzQj6l72mj+9jglEC6HQOuyKvKV4MeKl/ybrtYMvn7kmS6oTvbybkDujQGYmGXXXYpg63o3F/+8pcl1RnoWwNjbZfjcTy9ljPBLQatsEU7x5MkSZIkSZJkwIQNRbFO5mu++93vXrqo6r50I3ztEwfSxmW4WnVhjYUk1YaQ62rQKqxHYM40vHqXX355cQV3xQOYrUXLtB1D4Dcb3NJO5J0sXXQ5ibEb5vENdBPwVDzpSU9qtgzHiPTf/va3iwTGk2/HL4np+8SzClPgqZactotTTz21zJdaB+n7bsCV7uK6NZss+4h10kVae34Ds0IYzU6/StwuufZ4ueCCC4rHAuutt16ZW39JYT5n9y3ecFj37zHHHFNGM9d479Q/fmudLSJZOvCAGY1bD7TQtWpARz2ZBoSrSK4uJo/9MJnnd8MNN/SOO+64MrnFkhpMJz3YJZdcUsJvuuJZ/X6e6bZdoE5gF4wnpnZZZkKGotkc/FnrrrtuqSzln+LS98BBCMxM4SWu8aITiL/+9a+l23UYMWMEhWcOW+cXgCwYdI899mhKzSyuqyKWDb3O+h+YD1heOQJRpxSJOETbdWfMdsGYC4ijU/mpOKPbqQszjOgi0FVgdoCx2HXXXUs+qzoeyvMXPG8Gi5lGt7AYK0py2OwoZv2RToQsxyvu030yGM3YEiNIk2Ub0+gZyEHu2jGmQlnMZsLQontMtUc/SckxFnStaf0Yn3SZaVLN+mPGkyXB85///GKo6kaWu7MLv2u55ZZbJK0YI8RCjoVUvO1tb2v2JEsDzhz1dK0P6R3x+xHTDDJMb5IxqYsMIiK7QgAmgml1f/KTn5SGRrsRMVPQl+oTv6k90xrYLn7HMLuAI+nII48clyNimYShOB5kCF9ttdX6f/rTn5ot/f4BBxzQX2mllfrXXXddWR8ISv/aa6/t/+EPfxhZBtZ//9xzzy2ZyI8//vhSbhgDhdUfGJ3N2gKOOuqo/sorr9w/88wzmy0zh2s8/OEP77/vfe/rr7766s3WRRkIZ8myLut/m4Fh2994443L7CwDAWm2JkuLzTbbrL/++uv3n/e85zVbuhkYk/2BIhjJhj8WzvuGN7yhf+ONN47I+aDhVGYuWRKYHeXggw8uM1HI4t+FmScGDbpmbVHe//73l3fZ+5ss2wwqnTLTA/n80Ic+1GxdwNlnn11046c+9almS79/2mmn9R/wgAeMqWtf//rX9wcNqEX0udlL6La99tqr2TJzDCrdci2zVqkbBoZGs2dRzP7z5je/uVlbyM0339wfNIbKOc4555xma7I0oEvMMqauD304MAT7f/3rX5sS/f4JJ5xQbIXLL7+82bJghiiyOjAqmy1jQ17IxFprrbXY7Cczxfe+971Sp7ML/NYuyC9ZHDSymi0LYROZRch+7/NsZNyDWcwhK7t47XbVwmUpf+tb3yrrt771rUs3sWSmseg+NtMIS1oLchi6CLmw995772bLAswE4ZoTyUgu6LO26gPdxqPBU6MFa0Sd/EfDWrmoR4kG0orsu+++pbWbgf5LFyPHdYXwfkerrgvpjXiRya3nNh7IqSB5no6Qc/OAm9d2ImihtiG39Zy0bXj0tcS9i7zWg4ZUs2dxhv0e76MUOaPJd7JswHsSenOgr8tnoNtWF149iw7vDj10+umnN1u6kc7LcbU+lwxY19pEdZeuwDa64upRnW10HfKI07V6m0bzgHadJwZcOYcZWJKlgxAxOstcxOr60Ie6W+9617s2pRbMnEO2zNkcmNObBy5G9Y6Faxn5a6BnV/0+FjyePJ1txrILJHcX5sOb7/iTTjqp2bM4XXaBusUMWDzgZmmZjYzbUOTqZQTVcB/7Y1SSwzA7CUUyVleImUzEAXTFeFEUoyWaHLRginIUq6MbXFwEgYwucV1stonNYgh+9rOfLdtr/A7xiYale6BGz3EVTxT3QaF3GQHJksE0SYceemh5KRmJ7Qo2EMenW4+i0jAYVq5GDjfnjMnjTSU2XnST6SoUyyJG0IwpKueomI3GJKe2DYup1FVjJL38hRIO6/Lxbk4U19egSpZdjjjiiKLb6N2uGRlUQOS23bAQ4jNWo0WXr/CENqMZd4E4RqEcRmYKtyDHQjw0YHTB0eWrrbZa78EPfnBxJnQh/ZKRnBAP3qWTg9HeS46KLkM1WTKY8ckzUK8ipkms8Xxk+BCW1kadfOaZZzZro8PQ3H///Uvjv+7mHgYDkIEnPEeXsbpZmIPQDJDhBz7wgcXmIK8aL23oeo2uSEtjjEU968p4Cbtgac2sMlUmlR7Hj/VwzUlo8MbGG2/c7FkUSoOR1hXr10asgVgyQldjDmRG17Bh5mDYiYv0MCkfhoLKXzwk4eJ1MVhB0LYH/Za3vGUxQaO4nCda79J/EDCGQRdatF1o3fLk8FIlSwfG/oEHHlhkaZgxpEIUh8rwwmhexxoxXQY5iWX08qsUeef222+/psRwtJ55gcyOwgtPHh2vwpUUm5eQ7Gp9ixeTGqENz3rIKI8iuTd1ZBejNa548FddddVmLVnWoHfIVHgguowlnhWyR95/8IMfFG8z2aCbxorpdlzbmNRY1nAaNkAqkMuQZ4dhyOBUF5g4wP0w+kwLSXcabOD+o8cpIPdi3L1/UI94T4cZi8MGLGggOW5JDCBLujF41eQQxhFouGhEeB610WWsAV3UlZxfg5WdMBY777xz8VTutNNOJc3XeFCf09XeCVNAkslI2M6JdNhhh5VeFcaugVF6M9uNjhNPPLHU56FzXV+P0rDY8LHsgjp902xiwoYihcWD6CX3kqqQh2Ef93MohImiNU0AGXdjBbwy/Hhk5BkiHJEri/LUItDioRgJA8UTI/0Co+t0j4dSovAYGl2VMGEwcMfobIL2la98pbijBesq734zEfHS4RWveEVpJQpZGA1degavTDSQ2qh/gfW8ODzQBq947hoaY02NR3HxQGq0aNlSfALxeYU0aCghhp/vlG1bRikb75xGTMCryDPa1cIWCkL2yaiFkclIpTQ1vto9BMmyg4pMA5uHeTQ0iMmURrLGNL1EB+kGnCiS/mvMdAXr16j0yZYuOV2MPIe8kwwCnnzvlC7x3Xffvci8ATY1GmfqEF5I+I3O0eWpoY+N3ucwCF3rPXCPKm/3K5QiWTpIWC6rhIYHfUUn6m3Rc3LssceWMjEQKWYhqxF2QP+Nhsa12c8i/Gw8PT8BB4AGNc82u4BTi3NLZhMyxTmlh0Y3ONqy+vGPf7yEGWkcQSJtIUf0aBt2AaOzbReoFxildDrbYFYy+NMnxKBCGhmoIaB+0IroDx5iWa8ZKK/+qquuWoJcJ8PAau8PKtP+QOk0W4ZjEMHAOOgPBKnZsoBddtml/4QnPKFZW8CgFVzuywCbYPBwy7ZBC7XZsoCBol4seNVglkc+8pH9tddeuz9oDY0sgxel//jHP74/aGk3JZMlzcAAKwHTNYNGSv9Zz3pWs7YAgwIE8tdssskm/be85S3N2nA8/29961vN2kIGjaISmC2IexiDRk8ZiFIjCJrsGphQI1B/2223bdYWMDBs+4MGTLO2gL///e/lPTnyyCObLQtwrUErudxTyKjvA2XVf+5zn9sfKMSmZLKssfPOO5cBUzWC6QcGYLO2gIHB1B8Yaos8+8997nNFJ3/wgx9stowPwfbkiH4ci0c/+tFlcGMN3UuOB0ZBs2UB5O2ggw5q1hag3MAobNYW4Hg61ICaGgOyXK/WtXS17QbktK+XLFl+8IMf9C+44IJmbSF0jIGhOP/888szv/jii8t6zd577z104Cj+97//lWc+MLqaLf3+KaecUmTAvtEwmMYAkoGx1mxZwB577LGYHg57xWCwwMAb2wxmqRk0Usq7EnYQ6HGDCy21rLr+wDAt9cNsZsIeRS3J8Lq9+c1vLl29MfVMjRQLWpO60yaKrgpB2dy07W6LYQx+y2I5mWxzvzW2oe6W403UquD51MIQc+OT50dLQg6zGi0kLRAu7Fi4o7WmdGsnSx6tUi03XhhdE7ozfPK06WYWO+O58XpILaNbV9yMcmK6yINAZduiBdwFz0eXF5IHmqzx6AyD7NUB3rDN4l0ZDfHAQincb8ioJbqfdanUOCfvowDwkFHfdRXpTsnQiGUT3bi6awW/89R43npW9G6QU9siYH6vvfYqcsejHfAsmu3J9KCh60bDeyHmi1dSjLiYw7Fw3vCwBMPkuB3+IBSJZ4dHpta1wi/k3WsPzvJbyXita70HUj8J/5hMHr5k+uAV7srtKcbas+MNpp/IRpfn0LbRvN+mYXQNnsB4F8gqT7L0OMIfRkN3b9uT2SWnXfCIsgsMeKxllUebx5zdUOO3CPmoZdU9nnPOOUssvd9MMS5D0R/r5ewKxOSWpcCUqTHtF0PPHzoRdD8w2ASfjhbgPJ2Yp1l3nGn0dJ1wE/sUK0aIdbHU+K3t35ssXSJeybMT92cUnk8vK+UiWFk3gq4BSkJXhG4A5RhNuijEeSmny2AYjMiugUqMRDLRrhjbjLV/GNGNI5zDb6wXMWoCt3UD1VCSyezCMyRL9B/dSj7lnTM6WTcW+RTHStY0bBhRbRwDOV9HQ1gOvacy1OXmc6ZRuYplo1vbulbXnG67ekCN35lyvOyi7u8aSawbNurJVZtYaJMUtGFXxP4uvA/kmJFGruUzJCviIsXSCiGaKTi7GKldsqqxE/HtwVyW1XEZiipHlamKtg0PCmOwXQESgInGf/F08NRpXWoRLwkIAwODN0pshdjGWMQyaLHzQvHE1BCKZNnBC80jwiMjbtCiQqWExFFpjYqj4gHn+Y34QgtFRLGpkJWL0fJd8L6QiTZajVrQKt6ZQIwOw9b9U5Aho0YSyixAHiczGi9ZtpCCgwyLhSWbZrHQCOKZEZNHFzGo6Fs9O229BLpXhSUGdhg8MeScoSnGdUng3RIbFqmdal1rMBfPjQabeN+a1LXLJuwC8aVd4xTIMK8fGSSnBv6JCWxj0F40bLrgOdarGLrau6CRT37FLs6U7BrUxS7grXd/tayyC8yZr/fJ+1kzV2V1XIYir5rKUYobiiqQ5oM3zui2Gq1TrUKV6jBUrLqstUigC8RAE5Ughagrl9vWoiKvrzudRAvX4IIuDByglMdK75MsXXTN6TZjFMaiy4GS4kHURWUxur5djkJTsdqn0SNYOSCjtYdR4DzZ1KgJVH6C67VudbNMN4xaXswddtih2bI4ZtkwknmsnGDJsg354y0J2TToQ7iCEArdveQrQn/Ig7AYujRQeUkhYhSnrlzwqpNjlXJgEBS9JwSDYRm61jJsROdUCQNQJdsFbxGvZpdDIln2II+6mHm6a9mSdoZtUIdhveY1rykhFRrzwZve9KbSMKhDJxiDZFX3MoyUrnU1T55Fo5zxOdHcteMlwtGGjVL27qlX5otdMC5DEdysuj2iO0Rcgtavh9w2FFWk4sNGi3cxGtOoyxAIwkEBstCNGOaN5D2x8JqMNqKUUep6EbsT6CoPQzQgmMqy/ClQLXdKcxiMZEP+dYOLQXCc4yea8NOwe6lVhrmmtbbrl61NzKPd/o0BQ9r5k0Xxv48npyU5aadG8KzIaD2lmVH4Gk3ic70D3gWLVqbpLEeDPLbvJeSx/VzdS9xPeNdHm/5pxx13LOUlGkeX7I+H0Rpl/o/wbg2DoSEWsgvvjuMZM8nEICPt2FkNa6MwxXHxNtOTen7kkK3jqjVkyHGM6OTZ4ZEhIwxK8eCha+ndyBE6DI2R9r3Qh+6x7jaGstE1yePN4x6Gbhe63GNEKrquNR7oQvfThe3kcJguheO7cgLCe+b40RLjzxcY9eprDh5eYs4hRqH6mk4K1LEWMbTki1ecQdkOL9MoJqvSJw1DPdylM9vQV+SHZ7CGPA2zCxzDJiF/XT1HAacCWWb8RuPc8V3d8KPhXtTrrt+F93S0et1vc/yw6+runw67YEJzPYMxI86Lt4Zi6opB9IcJvhf4OQwPQ4VBqen284dQNl0xXG6R16crDxMoJ63gVVZZZZEga3+SP9AAhEDLnCIynJ/AiV+LexgGxeBcWuDO73hGcHtgwjC0oBkIXiiucsa1NC4gKP5HRjjvgRgdKVNq7xFDXDJxLyGXvpg0qSfg9wn09Xt4IhzPNV+/pPMZBriXf7Q4GDBwyHS7cSOOSwvWf1tDbrSOnVslLbHrWJBxL7ZnFYQ86sKpA/MZa+TafVMEPEnD5D/wDnh/yJJrkW/fx4OZl+QqY4yqIMmbRlS8jwYAGYig68V1vKsGewXy6ZE5lQCZZJSIL4pAcrE9PEo8n4xRcu9d6Hrfk8Uhh7rx6plUArqWN1llo1Fbz34BcuA9ID/0tYqNsT/MYCN3w3pY4Pk5D30Y0JGSv4slq58pWeGZUZ4DgReoq84I/AbvojLeReEj8X08iCNjJNOp3hsep2Ob+F4wVPwf/iddl7q8OSkCSc7JKeNZXefade/BTjvtVP5LYSref2nXsrdpgUwwntXTdMCwupFzhjOIXqAL2jJI99Ct6ux2TuVAXUq/jWZfgG4mP22Z875oJNUyHjYEfUu3MVRHuwc4h/tQb6sjHK+e8H08GIvhOmSR48xMSTGXu3qCDLNpvLd0LQ+sXKUBY5wRyBOvV0EjL/L5qlcc771xDsdLHRh2x4RhKCYzhzl33//+9zdrCzBkfvCAy3dpdgYvWPkemNf1+9//fvm+zz77lDkxawaGSf+MM84o36Xq+eEPf1i+B4b+DwSnWUuS0ZHSR7qHGnOzbrHFFuX7oNW/WKoeaVgGRmP5Pqh4S/qLGmkmBi3u8l06i2c84xnle2DbQJE1a0kydb785S/3t9xyy2ZtAYNGdv+d73xn+T6oZBdLIyUNVejnQSN7sbRE5nQfVL7l+1vf+taR74H54dv6OUnGYtdddx2Ry2DNNdccqfcf9ahHjXwPpNkZNG7K93e9610l/V/NE57whP5Xv/rV8l1KqXbKtYEB3//2t7/drE2MNBRnmHZePwys/fIpB9XWW29dvtd4wDvssEP5PmjhlM+aQau7fDIwN9988/K9hoC1cwcmyTD23Xff/tFHH92sLeRfzWT98oNeddVV5XvNeuut17/hhhtKfr93v/vdzdaF3HjjjeVTjr4rrriifK/RoPnNb37TrCXJ1KALL+7I1fff//63fA7TxZHvjy7+8Y9/XL7XhL69733vWz7byE+aJBOBs6hNyBknUrvBAvkqo8H+iEc8on/zzTeX70HI+eWXX97fdNNNy/ca+aLbDanxMu4YxWTi6N7p6jKJ3I66HMVqtNGdEXFe7XxlCHf9sON1NwpQT5LxoCutDs8IdCNB94jumzZCKXRR637pOj4GBcn9p/ujjePJcJJMB8I1ukJMDDogpzEfcQ1dHPFqus4f+MAHlu819K0y7fCTQLemrvckGQ9CH8Q4thmrXhdSQldD93g7XC5yQwoDGOv4iZKG4gwiNke8ZpuBgV4+xTJ0DbSgdCIJqTiIYYx2fB2TkSSjIf4xArK7oNTaAeEQTyQWyTLawBkGZ1ewtXdjJkaJJ/OT0eSYLh42OCUqWPp02PH2delypL5NJoJY9NEG4gyr18V1Rxz7sPhieA+69DEDtY6DnwhpKM4gFJAAdEHcNQaqmEnD3KrmhGxjdgLzEEOg63nnnVe+BwYdHHLIISV4VXqiNkYXxvFJMhZbbrnlYjO7CCgPL6J8e+2k8wxHwf48OAa4HHfccc2eBQimjvQs5q42J3GNQHM50kZLoZUkE8Fc1yeddFKztgCjao1eVfkaZNMe0S9fnsGAcLx8pTVGtYYu5ZExaKvGwIwuT2WSjAa9aVBwzctf/vIyT7tBKAaltqntAnmDDUCsMSuZPNQycBg93qY+fsIs6IFOZoqBkVjiEQTvm8dU4LOg0sAclgakDB5s2b/77rsvEuQ/qLDLHKjm07700ktLLNigcm329vunnnpqf6211uqfeeaZI+cXU5YkE0F8loFX4mMEPBvcUgdTG0AlgPqyyy4rc2qvvvrqi8yB+rKXvaz/ghe8oMTNkmWB2YNGTLO3Xwa2mO/05z//eZFZMTbtYOskmSp04aGHHlp05fHHH18GWf31r38t+8zHOzD2+ieffHKRY/NNr7baav1Bo6fsx6Bh3j/44IPL8Z/+9KfL8dddd13Z95e//KW8F4NGUTne+en22J8k40XMN9n6/Oc/X+rt/fffv8zNH9DBZPn0008vsmhQq8EsAVl0vEGH9h922GFlYGxg0AsdbFCh/c4fgwsnw4TT4yQThxuZNc9Lw0NoGHyNGC75qJSTi6o9M4h4BHOjStHz8Ic/vMwwUiOGjMeHu1leNOlzkmSi8J5I+SEuVhqGdnytNCE8KrzkWr/tbmPpbs4444zSVU3G23GLvDWmSZSyZGBYlu7AJJlu6MJB5VjkVwqRiAmH9DvynfIs0qXksI2cwbzl0v84vp0ihS7WSyTNlZyBSTIZdCVLrSRdj3ht6XJq2AtkWTiEnI1SO9WELIutNS6BTq6RglBPjk/pnOQonSxpKCZJkiRJkiSdZIxikiRJkiRJ0kkaikmSJEmSJEknaSgmSZIkSZIknaShmCRJkiRJknSShmKSJEmSJEnSSRqKSZIkSZIkSSdpKCZJkiRJkiQd9Hr/D6Uy0E4Q+WNWAAAAAElFTkSuQmCC"}}},{"cell_type":"markdown","source":"# 🚅 Train with W&B","metadata":{}},{"cell_type":"code","source":"%cd yolov5/","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:11:43.087909Z","iopub.execute_input":"2021-07-22T08:11:43.088496Z","iopub.status.idle":"2021-07-22T08:11:43.099061Z","shell.execute_reply.started":"2021-07-22T08:11:43.088435Z","shell.execute_reply":"2021-07-22T08:11:43.098041Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"All training results are saved to runs/train/ with incrementing run directories, i.e. runs/train/exp2, runs/train/exp3 etc. ","metadata":{}},{"cell_type":"code","source":"#!WANDB_MODE=\"dryrun\" \n!python train.py --img {IMG_SIZE} \\\n --batch {BATCH_SIZE} \\\n --epochs {EPOCHS} \\\n --data data.yaml \\\n --weights yolov5m.pt \\\n --project kaggle-siim-covid19 \\\n --cache","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:11:43.100997Z","iopub.execute_input":"2021-07-22T08:11:43.101647Z","iopub.status.idle":"2021-07-22T08:20:18.078499Z","shell.execute_reply.started":"2021-07-22T08:11:43.101606Z","shell.execute_reply":"2021-07-22T08:20:18.077522Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Removing Files","metadata":{}},{"cell_type":"code","source":"%cd \"../\"\npath = \"covid19\"\nshutil.rmtree(path)","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:20:18.083047Z","iopub.execute_input":"2021-07-22T08:20:18.083341Z","iopub.status.idle":"2021-07-22T08:20:18.366755Z","shell.execute_reply.started":"2021-07-22T08:20:18.083310Z","shell.execute_reply":"2021-07-22T08:20:18.365903Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 🖼️ Visualizing and Results\n\n* Weights & Biases (W&B) is now integrated with YOLOv5 for real-time visualization and cloud logging of training runs. This allows for better run comparison and introspection, as well improved visibility and collaboration among team members.\n\n* During training you will see live updates at https://wandb.ai, and you can create Detailed Reports of your results using the W&B Reports tool.\n* To see my project on Weights & Biases (W&B) [here](https://wandb.ai/ammaralhajali/kaggle-siim-covid19)","metadata":{}},{"cell_type":"markdown","source":"![Capture.JPG](attachment:70925ee3-c3a5-4056-974f-8bb702338d84.JPG)","metadata":{},"attachments":{"70925ee3-c3a5-4056-974f-8bb702338d84.JPG":{"image/jpeg":"/9j/4AAQSkZJRgABAQEAYABgAAD/4RDuRXhpZgAATU0AKgAAAAgABQESAAMAAAABAAEAAAE7AAIAAAAIAAAIVodpAAQAAAABAAAIXpydAAEAAAAQAAAQ1uocAAcAAAgMAAAASgAAAAAc6gAAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFRPU0hJQkEAAAWQAwACAAAAFAAAEKyQBAACAAAAFAAAEMCSkQACAAAAAzM4AACSkgACAAAAAzM4AADqHAAHAAAIDAAACKAAAAAAHOoAAAAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA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"}}},{"cell_type":"markdown","source":"## Class Distribution","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize = (20,20))\nplt.axis('off')\nplt.imshow(plt.imread('./yolov5/kaggle-siim-covid19/exp/labels.jpg'));","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2021-07-22T08:20:18.368385Z","iopub.execute_input":"2021-07-22T08:20:18.368769Z","iopub.status.idle":"2021-07-22T08:20:18.926190Z","shell.execute_reply.started":"2021-07-22T08:20:18.368740Z","shell.execute_reply":"2021-07-22T08:20:18.925274Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Batch Image","metadata":{}},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nplt.figure(figsize = (14, 14))\nplt.imshow(plt.imread('./yolov5/kaggle-siim-covid19/exp/train_batch0.jpg'))\n","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2021-07-22T08:20:18.927340Z","iopub.execute_input":"2021-07-22T08:20:18.927708Z","iopub.status.idle":"2021-07-22T08:20:19.485526Z","shell.execute_reply.started":"2021-07-22T08:20:18.927669Z","shell.execute_reply":"2021-07-22T08:20:19.484707Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!ls '/kaggle/working/yolov5/kaggle-siim-covid19/exp'","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:20:19.486742Z","iopub.execute_input":"2021-07-22T08:20:19.487246Z","iopub.status.idle":"2021-07-22T08:20:20.179908Z","shell.execute_reply.started":"2021-07-22T08:20:19.487206Z","shell.execute_reply":"2021-07-22T08:20:20.178914Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# P Curve","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(30,15))\nplt.axis('off')\nplt.imshow(plt.imread('/kaggle/working/yolov5/kaggle-siim-covid19/exp/P_curve.png'));","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2021-07-22T08:20:20.181566Z","iopub.execute_input":"2021-07-22T08:20:20.181852Z","iopub.status.idle":"2021-07-22T08:20:21.154007Z","shell.execute_reply.started":"2021-07-22T08:20:20.181824Z","shell.execute_reply":"2021-07-22T08:20:21.153123Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# PR Curve","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(30,15))\nplt.axis('off')\nplt.imshow(plt.imread('/kaggle/working/yolov5/kaggle-siim-covid19/exp/PR_curve.png'));","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2021-07-22T08:20:21.155350Z","iopub.execute_input":"2021-07-22T08:20:21.155741Z","iopub.status.idle":"2021-07-22T08:20:21.928160Z","shell.execute_reply.started":"2021-07-22T08:20:21.155702Z","shell.execute_reply":"2021-07-22T08:20:21.927142Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# F1 Curve","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(30,15))\nplt.axis('off')\nplt.imshow(plt.imread('/kaggle/working/yolov5/kaggle-siim-covid19/exp/F1_curve.png'));","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:20:21.929661Z","iopub.execute_input":"2021-07-22T08:20:21.930000Z","iopub.status.idle":"2021-07-22T08:20:22.694339Z","shell.execute_reply.started":"2021-07-22T08:20:21.929964Z","shell.execute_reply":"2021-07-22T08:20:22.693564Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# R Curve","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(30,15))\nplt.axis('off')\nplt.imshow(plt.imread('/kaggle/working/yolov5/kaggle-siim-covid19/exp/R_curve.png'));","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2021-07-22T08:20:22.695590Z","iopub.execute_input":"2021-07-22T08:20:22.696063Z","iopub.status.idle":"2021-07-22T08:20:23.474075Z","shell.execute_reply.started":"2021-07-22T08:20:22.696020Z","shell.execute_reply":"2021-07-22T08:20:23.473054Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## GT Vs Pred","metadata":{}},{"cell_type":"code","source":"ig, ax = plt.subplots(3, 2, figsize = (2*5,3*5), constrained_layout = True)\nfor row in range(3):\n ax[row][0].imshow(plt.imread(f'./yolov5/kaggle-siim-covid19/exp/val_batch{row}_labels.jpg'))\n ax[row][0].set_xticks([])\n ax[row][0].set_yticks([])\n ax[row][0].set_title(f'./yolov5/kaggle-siim-covid19/exp/val_batch{row}_labels.jpg', fontsize = 12)\n \n ax[row][1].imshow(plt.imread(f'./yolov5/kaggle-siim-covid19/exp/val_batch{row}_pred.jpg'))\n ax[row][1].set_xticks([])\n ax[row][1].set_yticks([])\n ax[row][1].set_title(f'./yolov5/kaggle-siim-covid19/exp/val_batch{row}_pred.jpg', fontsize = 12)","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2021-07-22T08:20:23.475555Z","iopub.execute_input":"2021-07-22T08:20:23.475908Z","iopub.status.idle":"2021-07-22T08:20:25.166326Z","shell.execute_reply.started":"2021-07-22T08:20:23.475871Z","shell.execute_reply":"2021-07-22T08:20:25.165367Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## (Loss, Map) Vs Epoch\n","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(30,15))\nplt.axis('off')\nplt.imshow(plt.imread('./yolov5/kaggle-siim-covid19/exp/results.png'));","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2021-07-22T08:20:25.167776Z","iopub.execute_input":"2021-07-22T08:20:25.168112Z","iopub.status.idle":"2021-07-22T08:20:25.932478Z","shell.execute_reply.started":"2021-07-22T08:20:25.168077Z","shell.execute_reply":"2021-07-22T08:20:25.931531Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Confusion Matrix","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(30,15))\nplt.axis('off')\nplt.imshow(plt.imread('./yolov5/kaggle-siim-covid19/exp/confusion_matrix.png'));","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2021-07-22T08:20:25.933977Z","iopub.execute_input":"2021-07-22T08:20:25.934334Z","iopub.status.idle":"2021-07-22T08:20:27.213825Z","shell.execute_reply.started":"2021-07-22T08:20:25.934299Z","shell.execute_reply":"2021-07-22T08:20:27.212779Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Inference","metadata":{}},{"cell_type":"code","source":"TEST_PATH = '/kaggle/input/siim-covid19-resized-384512-and-640px/SIIM-COVID19-Resized/img_sz_512/test/' \nweights_dir = 'kaggle-siim-covid19/exp/weights/best.pt'","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:20:27.215313Z","iopub.execute_input":"2021-07-22T08:20:27.215685Z","iopub.status.idle":"2021-07-22T08:20:27.220631Z","shell.execute_reply.started":"2021-07-22T08:20:27.215643Z","shell.execute_reply":"2021-07-22T08:20:27.219498Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%cd 'yolov5'\n","metadata":{"execution":{"iopub.status.busy":"2021-07-22T08:20:27.222131Z","iopub.execute_input":"2021-07-22T08:20:27.222545Z","iopub.status.idle":"2021-07-22T08:20:27.232905Z","shell.execute_reply.started":"2021-07-22T08:20:27.222507Z","shell.execute_reply":"2021-07-22T08:20:27.231978Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!python detect.py --weights {weights_dir} \\\n --source {TEST_PATH} \\\n --img {IMG_SIZE} \\\n --conf 0.28 \\\n --iou-thres 0.5 \\\n --max-det 3 \\\n --save-txt \\\n --save-conf \\\n --exist-ok","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2021-07-22T08:20:27.234291Z","iopub.execute_input":"2021-07-22T08:20:27.234712Z","iopub.status.idle":"2021-07-22T08:21:29.114889Z","shell.execute_reply.started":"2021-07-22T08:20:27.234676Z","shell.execute_reply":"2021-07-22T08:21:29.113919Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Inference Plot","metadata":{}},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nfrom mpl_toolkits.axes_grid1 import ImageGrid\nimport numpy as np\nimport random\nimport cv2\nfrom glob import glob\nfrom tqdm import tqdm\n\nfiles = glob('runs/detect/exp/*')\nfor _ in range(3):\n row = 4\n col = 3\n grid_files = random.sample(files, row*col)\n images = []\n for image_path in tqdm(grid_files):\n img= cv2.cvtColor(cv2.imread(image_path), cv2.COLOR_BGR2RGB)\n images.append(img)\n\n fig = plt.figure(figsize=(col*5, row*5))\n grid = ImageGrid(fig, 111, # similar to subplot(111)\n nrows_ncols=(col, row), # creates 2x2 grid of axes\n axes_pad=0.05, # pad between axes in inch.\n )\n\n for ax, im in zip(grid, images):\n # Iterating over the grid returns the Axes.\n ax.imshow(im)\n ax.set_xticks([])\n ax.set_yticks([])\n plt.show()\n","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2021-07-22T08:24:05.716068Z","iopub.execute_input":"2021-07-22T08:24:05.716432Z","iopub.status.idle":"2021-07-22T08:24:09.530246Z","shell.execute_reply.started":"2021-07-22T08:24:05.716400Z","shell.execute_reply":"2021-07-22T08:24:09.529350Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Please if this kernel is useful, please upvote !!","metadata":{}},{"cell_type":"markdown","source":"![download.jpg](attachment:07de9c65-7c16-40e7-a821-d5354296394c.jpg)","metadata":{},"attachments":{"07de9c65-7c16-40e7-a821-d5354296394c.jpg":{"image/jpeg":"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"}}},{"cell_type":"markdown","source":"# References","metadata":{}},{"cell_type":"markdown","source":"1. https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data\n1. https://ultralytics.com/yolov5\n1. https://docs.wandb.ai/\n1. https://www.kaggle.com/ayuraj/train-covid-19-detection-using-yolov5\n1. https://www.kaggle.com/awsaf49/vinbigdata-cxr-ad-yolov5-14-class-train","metadata":{}}]}