{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":4104,"databundleVersionId":46661,"sourceType":"competition"},{"sourceId":9245437,"sourceType":"datasetVersion","datasetId":5592929},{"sourceId":9268581,"sourceType":"datasetVersion","datasetId":5608922},{"sourceId":9310145,"sourceType":"datasetVersion","datasetId":5638326},{"sourceId":9244609,"sourceType":"datasetVersion","datasetId":5592340},{"sourceId":7866129,"sourceType":"datasetVersion","datasetId":4614938}],"dockerImageVersionId":30673,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# *Projet de deep learning : Diabetic Retinopathy*\n\n### *Par Melih Sahman et Hugo Lemonnier*","metadata":{}},{"cell_type":"markdown","source":"Voici donc le notebook qui nous a permis de réaliser les différentes soumissions liéées à la [compétition Kaggle](https://www.kaggle.com/competitions/diabetic-retinopathy-detection) de *Diabetic Retinopathy Detection* pour le projet de la matière Réseaux de neurones, deep learning de Joseph Rynkiewicz.\n\nCelui-ci expliquera ainsi les différents procédés que nous avons utilisé sur les diverses parties du projet.","metadata":{}},{"cell_type":"markdown","source":"### *Importations*","metadata":{}},{"cell_type":"code","source":"#Librairies standardes\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n#Processing d'image\nfrom PIL import Image\nimport cv2\n\n#Pouvoir lire les différents chemins du PC/Kaggle et naviguer dedans\nfrom glob import glob\nimport os\n\n#All import Pytorch\nimport torch\nimport torch.optim as optim\nimport torch.nn.functional as F\nimport torch.nn as nn\nfrom torch.utils.data import Dataset, DataLoader\nfrom torch.utils.data import random_split\nfrom torchvision.transforms import v2\nfrom torchvision import datasets, transforms\nfrom torch.optim.lr_scheduler import CosineAnnealingWarmRestarts\nimport torchvision.io as io\nimport kornia.augmentation as K\nimport kornia\nimport torchvision.transforms.v2 as transforms\n\n#Metrics et mesure du temps\nfrom torchmetrics.classification import MulticlassCohenKappa\nfrom sklearn.model_selection import train_test_split\nimport time","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:00.488766Z","iopub.execute_input":"2024-09-03T15:38:00.489047Z","iopub.status.idle":"2024-09-03T15:38:13.072167Z","shell.execute_reply.started":"2024-09-03T15:38:00.489022Z","shell.execute_reply":"2024-09-03T15:38:13.071120Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# *Etude préliminaire de la base de données* \n\n<div style=\"text-align: justify\"> Avant de créer un modèle, il est nécessaire d'étudier la base de données sur laquelle on travaille alors voici donc une représentation de 6 images prises aléatoirement. Il est à noter que les images sont issues d'une base modifiée par nos soins, cela sera expliquée dans la partie Modification de la base de données : <\\div>","metadata":{}},{"cell_type":"code","source":"paths_train = glob('/kaggle/input/diabetic-retinopathy-train-cropped-256-128/Train_cropped/Train_256x256_cropped/*.jpeg')\n\nlist_of_image = []\nfig, ax = plt.subplots(nrows=2, ncols=3, figsize=(10,10))\n\nfor row in ax:\n    for col in row:\n        \n        iden = np.random.randint(1000)\n        image = Image.open(paths_train[iden])\n        col.set_title(f\"Image n°{iden}\")\n        col.imshow(image)\n        list_of_image.extend([paths_train[iden]])\n\nplt.tight_layout()","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:13.074463Z","iopub.execute_input":"2024-09-03T15:38:13.075068Z","iopub.status.idle":"2024-09-03T15:38:15.183626Z","shell.execute_reply.started":"2024-09-03T15:38:13.075031Z","shell.execute_reply":"2024-09-03T15:38:15.182706Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<div style=\"text-align: justify\">Voici donc une représentation de 6 scanners d'oeil tirés aléatoirement, cela nous permet de nous rendre compte de la très grande hétérogénéité des images à notre disposition. Il nous faudra donc le prendre en compte durant la mise en place du modèle et des différentes méthodes afin de construire un modèle qui est capable de s'adapter à ses nombreuses différences que cela soit sur les différents paramètres comme :<\\div>\n\n    - Le contraste de l'image\n    - La saturation\n    - Le sens, que celui-ci soit vertical ou horizontal\n    - La luminosité\n    - La rotation\n\n<div style=\"text-align: justify\">L'ensemble des éléments mentionnés au dessus seront donc modifiés durant l'étape d'augmentation des données.<\\div>","metadata":{}},{"cell_type":"markdown","source":"<div style=\"text-align: justify\">Il est maintenant possible de regarder la distribution des 5 différentes classes possible des images indiquant le niveau de diabète du patient.<\\div>","metadata":{}},{"cell_type":"code","source":"file_lbl=\"/kaggle/input/diabetic-retinopathy-train-cropped-256-128/Train_cropped/trainLabels.csv\"\ndf_train=pd.read_csv(file_lbl,sep=',')\ndf_train[\"image\"] = [x+\".jpeg\" for x in df_train[\"image\"]] #Permettra d'identifier directement les images et leur label avec le csv\n\ndf_train[\"level\"].value_counts()","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:15.184898Z","iopub.execute_input":"2024-09-03T15:38:15.185251Z","iopub.status.idle":"2024-09-03T15:38:15.248450Z","shell.execute_reply.started":"2024-09-03T15:38:15.185219Z","shell.execute_reply":"2024-09-03T15:38:15.247576Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<div style=\"text-align: justify\">Le jeu de données est très fortement déséquilibré, il faudra donc prendre ça en compte durant l'entraînement et on pourra modifier certains paramètres afin de s'y adapter comme par exemple la fonction de perte.<\\div>","metadata":{}},{"cell_type":"code","source":"(df_train.shape[0]/df_train[\"level\"].value_counts()).sort_index()","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:15.250676Z","iopub.execute_input":"2024-09-03T15:38:15.250958Z","iopub.status.idle":"2024-09-03T15:38:15.264105Z","shell.execute_reply.started":"2024-09-03T15:38:15.250934Z","shell.execute_reply":"2024-09-03T15:38:15.262932Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# *Modification de la base de données*\n\nLa base initiale à notre disposition étant principalement composée d'images pouvant varier de 2000x2000 pixels jusqu'à 4000x4000 pixels, cela a posé un problème plutôt lors de l'entraînement : le chargement des images et leur transformation en batchs pour l'entraînement étaient beaucoup trop longs. Selon nos tests sur la base initiale, le simple fait de charger un batch de 128 images mettait environ 27 secondes. Alors pour pouvoir entraîner une epoch, il fallait environ 123 minutes, soit 2 heures, ce qui n'était pas envisageable.\n\nNous avons donc cherché, avant de savoir la vraie raison du problème, les différents endroits ayant pu être le \"bottleneck\" du modèle : la manière de charger les données / la gestion de l'envoi des données vers le GPU / l'augmentation des données. Puis nous avons ensuite réalisé que le problème venait de la taille même des images, en ayant confirmation à l'aide d'un [notebook Kaggle](https://www.kaggle.com/code/abdellahlaassairi/fastest-way-to-load-images-from-disk-to-gpu#3.-Results) comparant la vitesse des différentes méthodes de chargement d'une image.\n\nL'élément nous empêchant d'entraîner rapidement notre modèle était les limites techniques du CPU mis à disposition par Kaggle. Selon les tests du notebook mentionné ci-dessus, charger une image de 2 500 000 de pixels, soit 5000x5000 pixels, prend au plus rapide 270 millisecondes. Tandis que charger une image de 40 000 pixels, soit 200x200 pixels, prend au plus rapide 0.6 milliseconde. \n\nSachant que la taille des images varie entre 2000x2000 et 4000x4000 pixels, cela expliquait donc très facilement la lenteur d'entraînement. Nous avons donc trouvé une solution un peu longue à mettre en place, sacrifiant un certain temps, mais qui allait ensuite nous en faire économiser beaucoup : *Modifier la taille des images sur notre ordinateur en local pour ensuite recréer une [base d'entraînement](https://kaggle.com/datasets/hugolemonnier/diabetic-retinopathy-train-cropped-and-resized) et de [test](https://www.kaggle.com/datasets/hugolemonnier/diabetic-retinopathy-test-cropped-and-resized) sur Kaggle*. \n\nVoici donc le code que nous avons utilisé afin de transformer la taille des images en local, nous savons bien sûr que l'aspect ratio n'est pas respecté en faisant cela mais nous avons fait le choix de ne pas le respecter à des fins de facilité :\n    \n```archive = zipfile.ZipFile('test.zip')\ninflist = archive.infolist()\npath = \"Test_256x256\\\\\"\nnew_size = (256, 256)\nfor f in inflist:```\n    ```ifile = archive.open(f)\n    img = Image.open(ifile)\n    resized_image = img.resize(new_size)\n    resized_image.save(path+f.filename)```\n    \n<div style=\"text-align: justify\">Ce code a été utilisé pour obtenir l'ensemble des images en différentes résolutions souvent utilisées, allant de 64x64 pixels à 128x128, 224x224, 256x256, 512x512 pixels.\nToutefois ce n'est pas la seule modification que nous avons réalisée sur la base initiale. Il est possible de voir sur les images de la base initiale que certaines images étaient remplies d'une certaine quantité de pixels noirs, inutiles à notre tâche. Il était donc possible de zoomer sur l'image sans avoir trop de problèmes.<\\div>\n    \n<div style=\"text-align: justify\">Nous avons donc crée, avant le code mentionné au dessus, un autre code de cropping permettant d'obtenir le résultat que l'on peut voir sur les premières images au dessus. Ce code a bien sûr été utilisé avant celui permettant de changer la dimension des images. Il identifie les contours possibles de l'oeil en analysant la valeur des pixels, puis examine ensuite les différentes régions trouvées. Si une région contient environ plus de 30% des pixels (valeur arbitraire qui permet de filtrer les régions de taille 100x100 dans une image de 4000x4000), elle est considérée comme le contour de l'oeil, et les pixels en dehors de ce contour peuvent être supprimés.<\\div>","metadata":{}},{"cell_type":"markdown","source":"```\nimport zipfile\nimport io\nfrom PIL import Image\nimport numpy as np\nfrom skimage.measure import regionprops, label```\n\n```threshold_value = 5 #Indique la limite basse de valeur d'un pixel pour être considéré comme un pixel contenant de la couleur\nwith zipfile.ZipFile(\"Test_cropped.zip\", \"a\", zipfile.ZIP_DEFLATED) as zipf: #Réalisé directement sur un fichier zip```\n\n    for f in inflist: #inflist contient l'ensemble des noms des images à l'intérieur du zip\n        with archive.open(f) as ifile:\n            img = Image.open(ifile) # Ouvre l'image avec la librairie PIL\n            img_array = np.array(img.convert('L')) #Convertit l'image en array afin de pouvoir ensuite utiliser scikit-image\n            \n            binary_img = img_array > threshold_value \n            \n            labeled_img = label(binary_img, connectivity=2) # Trouve l'ensemble des possibles régions de couleur dans l'image\n            regions = regionprops(labeled_img)\n            \n            found_region = None\n            for region in regions:\n                if region.area >= (img.size[0] * img.size[1]) * 0.3: \n            # Si la région trouvée est supérieur à environ 30% de la taille de l'image alors je la considère comme le véritable contour de l'oeil\n            # J'ai fais cela car la plupart des régions trouvée sont des régions contenant très peu de pixels\n                    found_region = region\n                    break\n            \n            if found_region is not None:\n                #Trouve les dimensions du carré du contour de l'oeil pour effectuer le cropping\n                minr, minc, maxr, maxc = found_region.bbox\n                fin = img.crop((minc, minr, maxc, maxr))\n                \n                #Réécriture de l'image dans un nouveau fichier zip\n                img_bytes = io.BytesIO()\n                fin.save(img_bytes, format='JPEG')\n                \n                img_bytes.seek(0)\n                zipf.writestr(f.filename, img_bytes.read())\n                \n            #Si le code n'arrive pas à trouver de contour alors pour le test je sauvegarde quand même l'image tandis que pour \n            #l'ensemble d'entraînement je ne sauvegarde pas mais de toute façon cela ne fait perdre qu'environ 10 images sur 35000 images\n            else:\n                print(f\"No suitable region found in {f.filename}\")                \n                img_bytes = io.BytesIO()\n                img.save(img_bytes, format='JPEG')\n                \n                img_bytes.seek(0)\n                zipf.writestr(f.filename, img_bytes.read())\n\n```print(f\"Images have been added\")```","metadata":{}},{"cell_type":"markdown","source":"<div style=\"text-align: justify\">L'ensemble des opérations ci-dessus nous a permis de diviser le temps d'apprentissage par environ 15, passant de 27 secondes d'attentes à environ 1.5 secondes afin de charger un batch de 128 images. Bien sûr, pour aider également les autres personnes de la promotion, nous avons indiqué l'existence des bases sur Kaggle en précisant leur utilité et les apports par rapport à la base initiale. Certains ont donc dû les utiliser.<\\div>","metadata":{}},{"cell_type":"code","source":"paths_first_base = glob('/kaggle/input/diabetic-retinopathy-train-unzipped/train/*.jpeg')\n\nfig, ax = plt.subplots(nrows=2, ncols=3, figsize=(10,10))\n\nfor row in ax:\n    for col in row:\n        \n        iden = np.random.randint(1000)\n        image = Image.open(paths_first_base[iden])\n        col.set_title(f\"Image n°{iden}\")\n        col.imshow(image)\n\nplt.title(\"Image dans la base initiale (sans cropping ni resize)\")\nplt.tight_layout()","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:15.265226Z","iopub.execute_input":"2024-09-03T15:38:15.265593Z","iopub.status.idle":"2024-09-03T15:38:28.602588Z","shell.execute_reply.started":"2024-09-03T15:38:15.265562Z","shell.execute_reply":"2024-09-03T15:38:28.601681Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# *Chargement des données et preprocessing*","metadata":{}},{"cell_type":"code","source":"#Fonction spécifique qui permet de charger les données en regardant le dossier des images et en trouvant ainsi la classe correspondante dans le csv des images, \n#ensuite applique un ensemble de transformation\n\nclass RetinopathyDataset_GPU(Dataset):\n\n    def __init__(self, csv_file, root_dir, transform=None, device=\"cpu\"):\n        \"\"\"\n        Arguments:\n            csv_file (string): Csv file with annotations.\n            root_dir (string): Directory with all the images.\n            transform (callable, optional): Optional transform to be applied on a sample.\n            device (string): Device to which data will be loaded ('cpu' or 'cuda')\n        \"\"\"\n        self.dataset = csv_file\n        self.root_dir = root_dir\n        self.transform = transform\n        self.device = device\n\n    def __len__(self): \n        return len(self.dataset)\n\n    def __getitem__(self, idx):\n        if torch.is_tensor(idx):\n            idx = idx.tolist()\n\n        img_name = os.path.join(self.root_dir, self.dataset.iloc[idx, 0])\n        image = io.read_image(img_name, mode=io.ImageReadMode.RGB)\n        classes = self.dataset.iloc[idx, 1]\n\n        image = self.transform(image)\n\n        return image, classes","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:28.603786Z","iopub.execute_input":"2024-09-03T15:38:28.604081Z","iopub.status.idle":"2024-09-03T15:38:28.612640Z","shell.execute_reply.started":"2024-09-03T15:38:28.604055Z","shell.execute_reply":"2024-09-03T15:38:28.611649Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Permet de détecter si un GPU est à disposition\ndevice = (\n    \"cuda\"\n    if torch.cuda.is_available()\n    else \"mps\"\n    if torch.backends.mps.is_available()\n    else \"cpu\"\n)\nprint(device)","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:28.613868Z","iopub.execute_input":"2024-09-03T15:38:28.614199Z","iopub.status.idle":"2024-09-03T15:38:28.646534Z","shell.execute_reply.started":"2024-09-03T15:38:28.614164Z","shell.execute_reply":"2024-09-03T15:38:28.645668Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Il est alors possible de réaliser les transformations sur les images, bien que torchvision soit disponible, nous avons décidé d'utiliser la librairie [Kornia](https://kornia.readthedocs.io/en/stable/augmentation.html) car elle nous paraissait plus rapide et, de plus, la plupart des fonctions disponibles contiennent une image permettant de facilement comprendre ce que nous faisons. Nous avons donc utilisé les augmentations que nous considérions comme potentiellement importantes en étudiant les 6 images au début.","metadata":{}},{"cell_type":"code","source":"train_transform = K.container.AugmentationSequential(\n    v2.ToDtype(torch.float32, scale=True),\n    K.RandomBrightness(brightness=0.25, p=0.75, keepdim=True),\n    K.RandomContrast(contrast=0.25, p=0.75, keepdim=True),\n    K.RandomSaturation(saturation=0.25, p=0.75, keepdim=True),\n    K.RandomHue(hue=0.1, p=0.75, keepdim=True),\n    K.RandomHorizontalFlip(p=0.25, keepdim=True),\n    K.RandomVerticalFlip(p=0.5, keepdim=True),\n    K.RandomRotation(10,p=0.5, keepdim=True),\n    data_keys=[\"input\"]\n)\n\ntest_transform = K.container.AugmentationSequential( #On applique pas les augmentations sur l'ensemble de test\n    v2.ToDtype(torch.float32, scale=True),\n    data_keys=[\"input\"]\n)","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:28.647646Z","iopub.execute_input":"2024-09-03T15:38:28.647953Z","iopub.status.idle":"2024-09-03T15:38:28.716170Z","shell.execute_reply.started":"2024-09-03T15:38:28.647921Z","shell.execute_reply":"2024-09-03T15:38:28.715492Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"<div style=\"text-align: justify\">Il est ensuite possible de vérifier ce que les augmentations font : <\\div>","metadata":{}},{"cell_type":"code","source":"style = \"RGB\" \nfor i in list_of_image :\n    #RGB\n    if style == \"RGB\" :\n        oui = io.read_image(i, mode=io.ImageReadMode.RGB)\n        to_pil = transforms.ToPILImage()\n        image = to_pil(train_transform(oui))\n        plt.title(\"Image augmentée\")\n        plt.imshow(image)\n        plt.show()\n    break\n    \nimage = Image.open(i)\nplt.imshow(image)\nplt.title(\"Image non augmentée\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:28.717124Z","iopub.execute_input":"2024-09-03T15:38:28.717378Z","iopub.status.idle":"2024-09-03T15:38:29.303454Z","shell.execute_reply.started":"2024-09-03T15:38:28.717356Z","shell.execute_reply":"2024-09-03T15:38:29.302599Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Séparation de la base entre ensemble d'entraînement et de test\ntrain_dataset, valid_dataset = train_test_split(df_train, train_size=0.4, random_state=42) #Séparation des données\n\ntrain_tensors = RetinopathyDataset_GPU(csv_file=train_dataset,\n                                    root_dir='/kaggle/input/diabetic-retinopathy-train-cropped-256-128/Train_cropped/Train_256x256_cropped/',\n                                    transform=train_transform,\n                                    device=\"cuda\")\n\nvalid_tensors = RetinopathyDataset_GPU(csv_file=valid_dataset,\n                                    root_dir='/kaggle/input/diabetic-retinopathy-train-cropped-256-128/Train_cropped/Train_256x256_cropped/',\n                                    transform=test_transform,\n                                    device=\"cuda\")","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:29.304642Z","iopub.execute_input":"2024-09-03T15:38:29.304914Z","iopub.status.idle":"2024-09-03T15:38:29.319339Z","shell.execute_reply.started":"2024-09-03T15:38:29.304890Z","shell.execute_reply":"2024-09-03T15:38:29.318455Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"generator = torch.Generator().manual_seed(42) #Permet de pouvoir reproduire les résultats du shuffle\n\nif device == \"cuda\" :\n    train_dataloader = DataLoader(train_tensors, batch_size=256, shuffle=True, num_workers=4, generator=generator) #Fonction qui chargera les images durant l'entraînement et les mettra en batch tout en mélangeant les images\n    valid_dataloader = DataLoader(valid_tensors, batch_size=256, shuffle=True, num_workers=4, generator=generator)\nelse : \n    train_dataloader = DataLoader(train_tensors, batch_size=256, shuffle=True, num_workers=1, generator=generator)\n    valid_dataloader = DataLoader(valid_tensors, batch_size=256, shuffle=True, num_workers=1, generator=generator)","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:29.323188Z","iopub.execute_input":"2024-09-03T15:38:29.323903Z","iopub.status.idle":"2024-09-03T15:38:29.330412Z","shell.execute_reply.started":"2024-09-03T15:38:29.323876Z","shell.execute_reply":"2024-09-03T15:38:29.329581Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#Permet d'envoyer les données vers le GPU directement car nous n'arrivions pas à le faire durant la création de la class RetinopathyDataset_GPU(Dataset) et que nous ne voulions pas le faire à la main avec Pytorch et batch.to(device)\nclass DeviceDataLoader():\n    \"\"\"Wrap a dataloader to move data to a device\"\"\"\n    def __init__(self, dl, device):\n        self.dl = dl\n        self.device = device\n        \n    def __iter__(self):\n        \"\"\"Yield a batch of data after moving it to device\"\"\"\n        for b in self.dl: \n            yield to_device(b, self.device)\n\n    def __len__(self):\n        \"\"\"Number of batches\"\"\"\n        return len(self.dl)\n\ndef to_device(batch, device):\n    \"\"\"Move a batch of data to a specified device\"\"\"\n    if isinstance(batch, (list, tuple)):\n        return [to_device(x, device) for x in batch]\n    elif isinstance(batch, dict):\n        return {k: to_device(v, device) for k, v in batch.items()}\n    elif isinstance(batch, torch.Tensor):\n        return batch.to(device, non_blocking=True)\n    else:\n        return batch\n    \ntrain_dl = DeviceDataLoader(train_dataloader, device)\nvalid_dl = DeviceDataLoader(valid_dataloader, device)","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:29.331567Z","iopub.execute_input":"2024-09-03T15:38:29.332140Z","iopub.status.idle":"2024-09-03T15:38:29.343841Z","shell.execute_reply.started":"2024-09-03T15:38:29.332109Z","shell.execute_reply":"2024-09-03T15:38:29.343064Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# *Création de l'architecture et choix de design*","metadata":{}},{"cell_type":"markdown","source":"<div style=\"text-align: justify\">Afin de créer un modèle de réseaux de neurones, nous avons décidé de ne pas utiliser de transfert learning, car nous voulions vraiment \"apprendre\" comment bien concevoir un réseaux de neurones ainsi que les différents problèmes que l'on peut rencontrer. Bien sûr, nous étions conscients que nos performances seraient moindres en comparaison avec des modèles déjà connus pour leur efficacité. Cela s'est reflété sur le score final que nous avons comparé avec d'autres groupes, mais il s'agissait d'un choix délibéré de notre part en connaissance de cause. Cela à également entraîné un autre inconvénient : le temps d'entraînement. Le transfert learning utilise des modèles qui ont déjà été entraînés pendant un certains temps, alors qu'une nouvelle architecture nécessite un long apprentissage initial. Cet apprentissage a représenté pour nous environ 170 epochs de 5 minutes chacune afin d'atteindre notre résultat final, soit plus + de 11h d'entraînement, comparé à du transfert learning qui aurait nécessité une dizaine d'epochs, comme nous avons pu en discuter avec d'autres groupes.<\\div>","metadata":{}},{"cell_type":"markdown","source":"De plus, nous nous sommes limités en termes d'architecture en choisissant de ne pas regarder directement les architecture de modèles tels que ResNet, Xception ou MobileNets, afin d'expérimenter avec différentes configurations et idées qui auraient pu nous venir.\n\n<div style=\"text-align: justify\">Le modèle ci-dessous est donc le modèle final que nous avons utilisé mais nous avons testé de nombreuses méthodes différentes à la suite de lecture de différents papiers de recherche vantant les mérites des diverses approches, que nous n'avons malheureseument pas conservé pour les citer par la suite. Voici donc un résumé des différents éléments testés, certains sont toujours présents dans le modèle final, tandis que d'autre non :<\\div>\n\n## *Convolutions spécifiques* \n\n<div style=\"text-align: justify\">Les depthwise separable convolutions, qui permettent ainsi d'avoir une convolution contenant un nombre de paramètres bien inférieur à une convolution standard, ce qui peut limiter l'overfitting mais également la performance du modèle.<\\div>","metadata":{}},{"cell_type":"markdown","source":"![depthwise.png](attachment:fd3e11be-5c49-4de9-9f7c-df628d5992c6.png)\n\n<div style=\"text-align: justify\">Les grouped convolutions qui ressemblent fortement en principe aux depthwise separable convolutions car il s'agit juste de diviser les kernels et les appliquer sur différents groupes de channels, encore dans le but de diminuer les paramètres et donc la mémoire qui est limitée à 16Go par GPU.<\\div>","metadata":{},"attachments":{"fd3e11be-5c49-4de9-9f7c-df628d5992c6.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"![ps22.png](attachment:5ec7ab6d-6b97-4b11-ba5c-f5c5b6988cc4.png)\n\n<div style=\"text-align: justify\">Les dilated convolutions qui permettent d'avoir une vision plus large pour chaque convolution et donc potentiellement mieux prendre en compte des dépendances ou interactions spaciales.<\\div>","metadata":{},"attachments":{"5ec7ab6d-6b97-4b11-ba5c-f5c5b6988cc4.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA4QAAAFpCAIAAABLaXEZAAEAAElEQVR42uy9d5hcxZX+fyrc1GFy0oykEcqWQAkQICQUkYSEEiiDRDT22mCvvfayP3ud1vZ+vd61FwdswORkTJRISqCcBQoIRZRzmDwd7r2Vfn/UzGWQDRgM0mipz8PDMzPq6em+t7rqrVPnvAcJIZRSYDAYDAaDwWAwnHWolJIxZi6EwWAwGAwGg+Hsg80lMBgMBoPBYDAYMWowGAwGg8FgMGLUYDAYDAaDwWAwYtRgMBgMBoPBYMSowWAwGAwGg8FgxKjBYDAYDAaDwYhRg8FgMBgMBoPBiFGDwWAwGAwGgxGjBoPBYDAYDAaDEaMGg8FgMBgMBiNGDQaDwWAwGAwGI0YNBoPBYDAYDEaMGgwGg8FgMBgMRowaDAaDwWAwGIwYNRgMBoPBYDAYjBg1GAwGg8FgMBgxajAYDAaDwWAwYtRgMBgMBoPBYDBi1GAwGAwGg8FgxKjBYDAYDAaDwWDEqMFgMBgMBoPBiFGDwWAwGAwGg8GIUYPBYDAYDAaDEaMGg8FgMBgMBsM/DDWXwGAwGAwGwz+IUgohFH0NANG3hvP6tp7xk8/jthoxajAYDAaD4TOQLFJKAMDYHLr+X7ih0Y6i5Tbjc8KMGIPBYDAYDP+oElVKSSlbxkQ5538dVzOcFzdUNoMQarm7+JxUqRGjBoPBYDAY/lH5ghCilEbCRUrJGDNi9DwFY0wIwRhHd1CHvT+nG4oYY4wxc90NBoPBYDD8I3o0Os/VZ7vmmpy/MMYwxjos2jIV+HOKjJqcUYPBYDAYDP+oEhVCSCkty9JKVJ/wasz1Oe/uZhTkPiN5FEwBk8FgMBgMhtapRAkhlNLoW0pplEtqLtF5RyQ9fd9XStm2rU/tP6c/Z8SowWAwGAyGf0i4EEK0fOGc6+RRAAjD0LZtExk9TzcY+lZ6nhf9xERGDQaDwWAwtF49GuWMEkI452+88cbLL79cW1trIqPnoxJVSiUSiZ49e44YMaJHjx6WZUU3+nMZP6aAyWAwGAwGw99DlAl6xs8DoEhwCytBsAjFm4sW/uznP0un0jk5OZGOMbQ2KKVBEOgbJDjHhGCMOBeEEM5C13Vt2z506NCvfvWrAQMGuK77+YlRExk1GAwGg8Hw9yrR6FvVDEKIUCEVEgRlGlLr1q79/ve+l8lmv/LVr/Tt09f1XHPpWic6Zh3dUr3NEEJKKf1M+oUXXnjppZeKi4ufffbZjh07VlZWfn4ZF0aMGgwGg8Fg+Hu0i4oqrD8gXyQBUAhEfVX9hg0bfvnLX2az2dtvv33smLF5+fkmZ7TVgnGT9PRcVymVyWYJIa7jHDly+NXly9asWdO2bdsgCNauXXv69On27dtHN92IUYPBYDAYDOdEu2AA0G2WtP1kkyq1lBSQaUitWbPmnnvuOXbs2B1f/crIq0cWFhUiQApMzmgrhWCilALA2orLsixKyIkTJ+bPn//ss896nnfDDTf8+c9/3rNnj5QSY3xGaNyIUYPBYDAYDGeVyNBef6EtnBBCIEljffXSZUsfefiRo0eP3nrrrWPHjE3m5EipTJv61gwXnBIKBPwg0IXzJ0+cePnll+fOmeO67jXXXNOpUyfHccIw1Hf887N2MsPEYDAYDAbDJ1alOlsUIdTYWLNs2dKHH3zo0KFDM2fOvO666yoqyqWUBGME5oy+FYtRLnSwkxBCCD565Mjcl+fOfXkuIBg/fvwVV1wBAJxz27Y/b8tYExk1GAwGg8Hwd6EFqD7V1XGyurq65ctXPPnkk8eOHZs8efLUqVMTyaSuyLYdhzOme5obWiGWRbkQAGBReuLEiXnz582ZM0dKOWnipL59enuepzsX6C1Hy/QMI0YNBoPBYDCcGyINqqmpqVmyZMnTT//54KFDk667burUqXn5+UqpVDrtua7gXEppckZbLQgQxkiBOnbs2PwF81995VWl1KiRoy655BIpeDqd1l2XGGOEEK1EP6eTenNMbzAYDAaD4X2iXjvRF2eKGIQwxo2NjatXr37qqacOHDhw7bXXTp48ubi4GABsy8rNzQUAPwikMmHR1nJDMWpyQkCA9LdCSkpoTXXNwkUL586Zm8mkR48afdVVVwVBgDGmlGoZqvtp6SZbn9MrNJFRg8FgMBgM76PLkjDGLZVo1GNJC5psNrts2bJHH330yJEjEydOnD5jRm5eHqEUIcSFkIGPEbYoNWHR1iFGQSllWYSHQkpJbcqZsCjGSlZXV7/8ysvPPfssoXTChIn9+/cHANu2AZQQwrIspRT7/HMtjBg1GAwGg8EQCZemvMCoSgkAGGOWZUU/zGQyq1ev/t3vfnfo0KHp06dPum5SIpm0LQuakkpBB+GElAiB8Rk9t2CEqYW54EEQUEIoIQghx3HS6TRjbN78ec88/Wdi0QnjJ/Tt25cxhhByHFvJs7qLMMf0BoPBYDAY3keLTi1DtTDVShQACCENDQ3r16//1a9+dezYsZkzZ06bNq19+/Yxz8OEKCmlkgghTMj7LqSGcytGMQYAxrhSyovFQ8YaGhtd15NSvjJ37gP33c84nzRxUr9+/QAgFoslksl0On2WX6SJjBoMBoPBYHhfiUKLbFGtKYUQlNIwDCmlu3bt+v/+v//vxIkTt99++4QJE0pKSjDCXAqpjYKkJARDc5tQcz3POVxwKXXtEUqnGxlj+fn5NTXVc+fM+e3vfpeflzttxoyL+13MOeecSym577uud7YVs7lPBoPBYDAYNC1bfeq00TAMhRC6Q8+SJUv++Z//uaam5s4775wwYUJBQYGUMmQhF0KBwhgRggFACKHP640ePfdilAsAiMViCKFUKp1MJgXnTz/91D3/+7/JZHL2TTf36d0nk8kghBLJZBAEQRBY1tmOVJrIqMFgMBgMhr+hR3V81LZtAJBSrl279rvf/W42m73jjjtGjBhRWVkphGCMEYQAAUZNDUKlkrqI3ijR1gClBABYGGKE83Jz0+n0E48//qc//amwqHDGjBkdO3bknGsLJ8E5IYQQwrk4y3fOiFGDwWAwGAx/W5XqeqZMJrNq1aqf/exnYRjefvvtw4cPLyoqymQylFLbtgEQfM4degyfGoywUioIQ4xxfV3dwoULn3zySdu2Z8yY0bNHTyml9mzinFNKEUKMsUQiwcLAiFGDwWAwGAzngCicGbXeyWQyK1eu/OUvf3ngwIG77rpr9OjRRUVF2vSnqT09xkqBAtXyiB8AECBj7XTO4UIgBK7j1NTWLli44KEHHyKE3HrbrZ06dlJKua6rlOKc6/8jhGzbZmF4ll+kEaMGg8HwKbGzHhFnw9NbYBzGsuaCGz5DorIkaNHkEwD8mNP0iHoCuYKfql6xcuUf7v3DkaNH77zrG8OGDSsuLiGESKkAAQCSAOiDYVFzOn9OwAhnfd91HISQkAIApFSUEIsSIUVVVdVrr7/2l2eesW1r0qTrevfqrdt7tqxUi26flAKf3ZtoxKjBYDB8SkIv66Uccx0M568ebfkt5xxjbAUMpBJAhUvCE1UrVqy4//77Dxw8OHXqtGuvvTaZk2PZtlJKSgFNtkEqiqGe+fwmLHp276ZtWxhjIYVSQDAmFEklhRTVVdXz58179i9/UQDXXz+5V69ejDHbtvWG5Iz9g5QSwdneThgxajAYDP8ApPGsqF7bXGnDZ68AmsOi+lttKYqFDJGFlGD1dWvWrHn00UcOHjx4/fXXX3/99bl5ebZtIYSklAghXbGkpY8Jhp57MQqKEiqlJJgIwbgQnuexMDx69OjSZUuff+EFxtmkSdf17dtXF6UFQfC5dvg0YtRgMBjOEtUFibPwVxCAlw3N1TZ89gqmxWG9dkfX+OnUurVrH3v8sd2735swYcK0adNKSkt0W3MuuBASABBBAKAPewGMGj3HIEAhYwDg2bYKQyEEZ6yqqmrxksVz58wNwmDUqNH9+/fXMVHHdTOZjN5+GDFqMBgM53s04uwsMwbDZz2okJaSUmtQKaUQghAiJMqkqjds2PDYY49te3fbNddcM3ny5KLiYoIJ41yC1I3OW6QYmhHaKojstHzfJwTblnX06NGFixa++vIrfuCPu3ac7juvBWhjQ4PjtKIUIyNGDQaDwchEwxdsE9Vcs6KVqI6P6sN3P5tdu3bNQw8/vHvX7jFjxtxyyy2FRYVBENqWpW2eMEIYv19xjxEGZNJDW4EYlcpxHClEJptNxOPVNTULFi544YUXOGNjxoy98sorhRC+7xcUFjY2NIRhmEgkdA2TEaMGg8FwnovRenIW/opnm1J6w2evR6Popj6p1y5Oa9aufeCBB/bt2z9mzJipU6eWlpZaFs1ksrg5vzCKpBpn+1aFRangHAAcx66urp778tznn39eCjF27LX9+/cPwxBj7Hmen81q/6ZW9eKNGDUYDIZPiZ31bH5W/hL3jLWT4TPeRzX3oI9+EgTBqlWrfnPPb44cPTpp0qRJkyaVlpUFYdiYSsXjMd3eUymlbYPU+6aipgd9qwBj7AcBIbi6qvq111978cUXpRBjxowdMGAAQkgI4ThOEAQYY9d1a2trtcOoiYwaDAbDeY8SZ0c3mCtt+OyVaPQ1IURKuW7dul//+tf79u+fNOm6cePHtW/f3rIdFgaEYCGkEL5FqZBCCIkxQgjh5kCpbgFqruq5Jev7nueFYbhixYrHHnlUSDlr1qyLL76Yc27btut5mXRaJ2YEQZCfn5/JZEw1vcFgMJw3hGGoWza3dIdWSqVxnW1ZrvL0wzgSAAIAJCgAsOUnPcFHIZa2sj6odjkAAFZCCH3QZtt2VP5sMHzMZkmp6DheCKF1ZzSM9RdhGFqW9fbbb3/ve987duzY177+9VGjRhcWFSmlfD8jhEQIYYykVFJJhBAhzQmjoABAB0oNZ0m0EdqYShFCYrFYGIZBELiugxEmhACAFOLPf37697/9XW5e7rTp0y+68CLddF4pFfh+02OkRAiFYdiq5hAznRkMBsPHYFlWVN6hF3jOeRAE8XjctTPgNB2g0zOaOTuf8PyLAcYYiAKArFCKgC0wJRIANWYsUNh1Xf3XddmB1qaWZZkbZPjQ/Q1CWoNijFuGwbRXqO/7sVjMsqy33nrrG9/4xqlTp26//fYhg4fkFxS4joMxBglAgGCiG3+a63nOCcIwEY8jjBkLhRCe5zqOKzhPpdOOYz/3/HO//93v8/Lzpk6b1q1rNyml7jjfSs7ijRg1GAyGT49SSgcV9BKulKKU6tOuIB8oKA5SgoQY8QATQGmQFoAN+JP9GQJZAAQYABDhABAS8AD7gDBg/aellJRSLUBbWwmCoXWih66Gc845J4RYloUQcl03nU4fOHDg7rvvrqur+9rXvnb11VeXlJZatg0AXHAplS6cb04uNPkirWKDAUohhCyLCiF9P+t5cSEann/u+f/99a9dx5k6dVrXLl1t244nEpwx3/db/5bViFGDwWD4+Nk/MmWUUuqDzjAMHcfxQYUACrgCgkBkgQJ4CoIAIIRPY+OnIxgIdLTVSwEIyFouskPQIlhHRgkh5rDe8LEwxnSZvI6N6UNb/a0O9m/ZsuVf//VfDx48+NWvfnXcuHGFhYWAMQDo3FA90pDRoK1pLmKc6ZZXOn0CI3zs6JGlS5f+7ne/i8fjk6dM6d27t5QSAALf14k9JjJqMBgM/ydCEQCccx0i1Ul4jLGVK1c++PBjAACAAdQ/bIGPEGAJAgEgwKr5CZUCSkBJoZTq27fvjBkz2rZtq/3Jza0xfDSRDVO0oYqUaBiGGzdu/OlPf7pnz5677rpr5MiRhYWFGGMpFeD3LZyi3yIEm+vZam4rklIBKNt2qk6fnvvy3L/8+RlCyOybb+rapasQIh6PM8ay2axt27Ztc85b+TsyYtRgMBg+hqgKREeVpJSpVGr16tX3/O9v/Spq2za1bAAAJfXDmhb+T16mipAUnBNKMUIhCwnGhFpSCuT6h0/s3b9/fxAE48eP13rC933P88zdMXy0GI1ayWsNqodxOp3esGHD73//+717995xxx2TJ09u06ZNKpWybRshrAC0lT3GSCmlQIECBMg425970UaIkEIpZVEKAMeOHp03f95LL73EOL/++ut79uhJKfV9X29WXdeVUurkciNGDQaD4bxHCKEndCFEKpVasWLFww8/nGnM3jH+e67nObYNgIQSSgFuDkF9OrjgtmWDgpCHFrWy2cy+Q3s37l9GKc3JyYHmAqbIjqf1LzOGc7uPghZGTnqblMlk3nrrrQceeGDPnj0zZsyYOnVqSUmJEEIrGNUcSQVoEqBSKoSMmWhr2V3wpmJKcfLEyYWLFs55aU4YBJMmTbrkkkt0TjkhJAxDz/MwxtHEZcSowWAwnPfoqmQAaGxsXL169WOPPVZbW3vHl796ZWy4bdkWoUI2WS2iptP6TxxDQoAQAiEVRlhIjhAmGL+zY+OBg4v3Htzr5tvFxcWRSbWOeJn7YvhYMRpZQOgNTCqVWrt27WOPPbZr164xY8ZMnz69pKREN6a3LEsppQABgHZxahayRom2FrjgGCOMyYnjJxa9sWjunLl+4F999cj+/fu7riuEYIxFO1XOOfrH9sZGjBoMBsNZxc54SgBCAAiCWCbm+NnQy3q2hEbKKCEWpHltVd2aNWuefvqZk3vrb77xy2P6TM7scoEhzpRSIBWA7lHTpCz/9hqAsgIhrAhSFDAFwCAVCAkEkI2B+0piBQiIo9478u7ra17csGdlRbt2FWWlW3dvkQopgDDhWQGDMPD8XJAACABDfWGT806BqId6AgBZz/5omRLpbPir5pBRNOUTrWRnxOEM50R0trynGGOfxRya1kH0dDqzes2aRx99dMeO7aOvuWbixInl5RVKSca553qcMyEENN/6ppyTFiPZHNOfpa0vIAWKc+E6jpQyZIzSpjIyxjmlpKa6ZunSpa++8mo6nRo2bPhVV12lP7CWZWWzWcuyCCGMMWhOEW79H0kjRg0GgwEAQAlQWSUtyWiopAyIynopAUQBhBa3mJ1t8FcuXvvkE3+pPlo/bcit13SZyvbZiqAW6zNu0m9NK/eH4AtCkUKIIyUsBA4WCgQHJSRIBRQUAurCodrdz6x4aNm2N7p07TSyz7UN1aktjdugnEiMFUDo8EIVQgYYA4SAW6ACAo5AAJBVIOXHSsYoEVZLFgCILAm1cNH/jx720euZfk7texXZYJlBddaUaMvdRUvx4cccmkox7CDFM+nGtWvXPfzII9ve3Tb6mtEzZ95QVFyMCBFcAsJcCEyo+KvthBGg5+CGgmoyzaBUMSaEsC0LALgQGOOq01ULFy186cWX0pn08OEjBg4cqBthaK8P7eJ0HsVEW06dBoPB8IWPRiBQlmSIMQgJIZKRELgADoAxh/Tp2mXLlz717NOnj1dNGTlj4pgpBNtcfJoWiMimxMXUQqCAB4pnJDCwEWAEvhDxXCItcaTm0FMvP75w5cLKsk5jrhpf2bbj5/B+m7ry6PQDbVallNJmQNBcTN3yMR+BXgu1s7oQovVX7/7fGrpNvmPQnBWqdYn+OWMCi4Cz8K233rr/gfvf2fLOqNGjpk2bVlxS4rkuKCXl+3ITI5P+ce6RUkmpYp7n+1khhee6+s4yxurr6pYtW/biCy82NjZcPeLqgQMHUko55+d77riJjBoMBkPT3lxagkOYJLncq06HyoIkDoRAitexFYuW33f/n+pPpm8ce8vYIROJIBbG/NO5gMcwV6CP8okExBEGpYhSCOwY9TE/VLP3yZcenLfula6lXScNndKuoEJkP0t9oNVGEAScc8uydKYgQsjzPCFE1CJSP4xS+tFuppGBpQ6L6nw1+GB8zvC5EqURR18zxpRSjuNYqTCM5Qap2s2bN913//27du6aMGHCzJkzS8vKbMuSUjLOtGwVUkglTaJFq5iKMAJAXPAwZMlkkjOWzmRinielXLRo0VNPP5VOpa8eefXll1+uq5QopalU6rxuxmbEqMFgMAAAhLEsAIDHU6wWhUjZjh3QIB2CQEvmLX3g3ocaTqWnjpt57dXj8qycVK1MBRyjTxONQC4KQglCUUCWQoqDEEoQIS1pe7TGP/XM/CeeW/WXC4t7Tx93Y7vCtqJeSik/w3eqBYdt247jRLX5ukJLS0/OuW3bCCEd4NQlER+x1OmYqD7Z16pIF0+YHlFnBx231ikWOunCcRx9o6XgRDZsffed//ef/7lt27brrr9uxowZ7dq3F5xzwTkXSilKic7WkFL/ulGi5xidpxsyhhAKw0BKlYjHT58+vWLFikcfe1Qwfu21115++eXxeFyHwBsbG2Ox2Hl9HGHEqMFgMDTrUS+LfOKHPs0poulGzpUrY4vefPNXv/7fVJX/Tzfede2QyTyrahrrSuKFNaFCgD9FPh1ykVSAALBEiivGBaHgOkQ66GTDsT/95fePzX+4V5t+t826ozRRkq5Ox6iHnc9yro6qWyKLKO1AGUVAmU5Ts+0zzus/jMh+v6XFulGiZw19/aP2YO+P5zDEtrVty9bvf//fd+zcccvNt0yZMqWouJhz1uzKAIQQSihCiAsOoCihTcaihnOHzhnVeaLpTCYvL4+F4YKFC/74hz9ijKdNm3bJJZfo3aPreanGRmhO0jh/MTmjBoPBAACQ9WzJVZakSU4cAATDce4tfnPJD//jh5nTwW3X3zHk0hGOdGM4jmXOqep0rkc4+zQLAEegCCEWJhQUkoQox8G2JY9W7b3/iXueWvhYj9ILv3LbV4sLSiUnMasgaMRBhn2G79T3/Zb1DVE4k3MupQyCwHVdLSWjgqSP6Pako3FBEIRhCM0eWL7vmxF11jijVIVznk6nAcCyrC2bNt911127du+69ZZbp06d2qlzF9dxMpmsRS2CMaWEYKzrtYWQUVsHc0nPsRhVSggZhCG1rOLikkwm88ijj9x/3/0AMGPGjN69e1NKHceRUtbX1TmOk5uXl81mz+u3bCKjBoPBAABAoD6kCEFMAYZMY1LFX10w70c//bGogy/P+KeRA8ck7cIgLbEAC1GGSaMvmRTOJ9/S68M0hIErAAsowlmR2rnz3dfXvvzamhcv63D5zbNvz0sUpE6n4jgvCDjGDvpMp2rHcXzf14W3ujgJIbR79+758+d37tw5CIJsNjthwoS8vLzIF+ajBcrq1av37dvXu3fv7t27W5aly5hMzujZ1C7Q1LGT6P/HYjGl1Lvvvvuv3/3XU6dO3fHlO64Zc01JaWkq1cgYcxwHYQxCYISVUry5+EwpxYWpPDv3YIQByzDkYRjU19e/PHfuE48/oZVo37599eYwyqsBgPq6ukQiob2czte3bO66wWAwgD4aA2IxS2SzVJD5b77xw5/+iNfKr878+ojLr/FUQmQEEVQwJDnCgMKAFyY/jUikEgiAAAhAcFtKVxxtOPTa2jmvrZnTreBLU8ZMzrXzVAYlnfzQFxhZEiGhPstjU8aYdiLUUc8DBw7cc889L7744tixYwcOHJiTk/OHP/yhuroaIqfJj9SUCKH777//P/7jP7Zu3aqP6THGlmUZJXrWaBnk1nFuKeXGjRu//e1vHzhwYPLkyWPGjmnfvtKi1HWcZCJBCOaMNfVoQAhjZFnUohQjLIRsWVxvOFdzEcEkmUikUun58+b98Y9/DMNw2rRpvXv31hWHYRimUinP82LxeDab1V4W5/VbNpFRg+GLFUHR9Q1aZETmL9GSdoYRektaPjiq3tVOQPpIN4qEndGALjJB1HUt2vpHHwi2fFXR77Y8KwzDUMuaM8JsUSgo+jnnXEcLdC8ZQshHZDq+3+2weQlXSglwMFcB+CoLby5e+tMf/TyoFl+78a5Bl4xIWvkiwIpjECAFBgUACBOUZejDqun1Sq8jTwiBRZFSEHIJAJTjUEhMEHUwJrDz4DvPzn9i1cYlXYq7Xz96SlleOUorxZUQCiSRCCRFmHyUsAulIEBAO5vydIbSGEh9lbR1qI6g6PsSxc/029+9e/czzzxz4sSJb3zjG+3bt5dSLl++PJFIRF6h2jWm5cVsaZKvlMpms0ePHh0wYMCXvvSlKGAT+R0aPqfPr76zZ3wkI1OnLVu2/OhHP9q3b9+Xv3zHwKuuatOmnBLChVCgKKEYYd1g6QyHfAWmeums4jhuXV2d57mU0CAMAYAQDAAIkFQyncrMe/31e3//eyHlzJkzL7744qhGLfqgKaV00eHHmq8ZMWowGFpRBKXlwqYdJfEHG67o9Umf3tq2HTWXO0O2ptPpkydPplKp/Pz88vJyrXL0M2CMGxoaTp06lZubW1xcHD2nVpa+7+tS30iztmywHrkC/c1vI12rf0Wvx/qfIpP2v361Z6D/LmNMC9ZoQrezKEBCpeWa5et//vP/13A6fedN/3xVv6G5br4MMXAMHCsJqLm4AyHEBXzYAToCRDAQAkIAE1JxRBDCCBEMPADPQYxIieXe4ztfWPaXFZuWVxS0HzVoTEVxW/CxCpESWCKFAEuClIWAfEwgJSuEVAQBEOVg5vvQ1NQxOreNlCi0KEhqaGhYsWLF5s2br7nmmrZt22prp7Fjx44bN66srCwqb/prSZTNZj3P0zd02bJljY2NAwcO7NChQ/SA8z1O02qJzERb3hddf6Y/ekKId9999z/+4z82bdp02223jbh6RHlF25jnaREjJUgk3+930KJQSX9t4tlnk0wmo43VdJNPgptmJC5EY0PD4sWLH3nkYUBo2rRpF/W6yLbtMwzU9H0/3x1GjRg1GL6gBEGgnXpaKtFoqYsknXbniVQmY0xKqSfEY8eOLViw4I033shms+3bt7/zzjsxxqtWrerTp0+HDh0SicTChQvfeOONa6655tprr9VBMr1SavkYhmHLtEId6flr6dMyetoy3tkyQ05P6IQQbUXU0qjow96+nu5bRvuawoQBzTY0rl656vd/+GPDyfRNU28feMnQkkSZyBLBEHCsJFKqud8Samoc+hG6HyHQ/zWFnRAmGBACwZnrEYHl9gNb5y5/dvmGpWVFFaMHj+9Y3kkFGHykQqwUQhiQBZIqoB/5h5SgGCQGLnzEsZKMU7AZAgDeLFOiOLFWIVG8eefOnatWrYrH46NHj7ZtW9+pyy67jDGm+1zr+1VdXR0EQX5+vs5EjHYdhBDO+fPPP5+Tk9O1a9dkMhldYfMp+5w2k/pTEw1jfdSgPylSylQqtXXr1t/85jc7duy49dZbr7/++rLyCse2AUBI0XK3aWgNCCFcx+FCYIQwxoxzQjAltKqq6o033vjzn/+czfrXXXddv379dE0h5/z/6u0zYtRg+MLRUuGdcZ6u0RFTy7I455FhYUsz8y1btrzwwgupVGr48OH5+fmZTGbnzp2///3vb7755tLS0kQisWPHjjfeeKNbt256mfR9//jx40EQdOnSRZ80QXPZtV5co3PzlkHQ6EQyenwkMaPfinL59bPBB5MNPlwmNi3e+k1pnZ2pb1yxaNUjjz125L3jN02+ddLIyYTHZIg5wyCQkghaKFHAAOhjHO+VUowrpZBFMAAoACGVkILaCgjsPvjui4v/vGbL6jaF5VcPGt2tY3eVAcWR4hgEVoAAg0KAiFJEog9/RxyEDbZEAFTUHT++e/fOotz8iy7o4irgAFLKbDa7ZMmSvn37FhcXu64bZUEghPbs2XPw4MEBAwa0a9dOX2dtg6/Db4SQ06dPb9iwYevWrQ0NDb179x41alReXl40KqSUx48f37Jly4gRIyorK3WUuuVQMXyGRPZbLY/XNdHJw+bNmx988MENGzZMnDjxlltuycnJIdSSSnImAIAQHEVDTQS0NWDb76dW8+Z+ntVV1UuWLPnLX/7i+9kxY8YMGDBAT3G6kcH/2VXJjAaD4YsWXPmw4hJ9AKQlBWNMN/aItKCWpzpievDgwePHjw8aNOhb3/rWbbfdVlZWVlJS0qVLl7KyMs/zoPkwUatJQsjhw4cff/zxJ554ghAShmEUkY3kL3wwDhrNudotSD+P/q3o/Fe/Wv3CWursj84WjbRs9CT6t+rq6hYvW/bwQ48f2XV8+phZ44ZeHyM5OY7nZ6UUIBX+G0oUf9QMSjAoUIxLnYcnFYjmV07jaOeRrc+/8dSqt5a3yWszasC13Sp7CB8hbglBJWCJkMJIEYSwQiAxKEDqwydxXM8bJAqVZSOETh4/uW7t2m17djOCtRv2kiVLtm/frt+p1ut6myGlrK+vr6+vd103Ou+TUp46dUrHoQEglUplMpl4PH7q1Kk333xz9+7degDogRGG4bp16zDGAwcOLCwshA+mk5rP2mdOVJwUjXZ9I/SWY9OmTY888sjmzZsnTZo0efLkgoKCZv9RHUlFBBMEKPrEGVrDBkN3GQgZU0q5jlNXWztv/rznnn22sbFx1KjRVwy4wrZt1/MAIJvN/j2T23mKiYwaDF/EGTDKmIwCkNAiIzNKFY0khVZ+UaOdbDZLKb3gggvi8bgQori4eNCgQfn5+R07dozFYmec9SOETpw48dprr+nsKCFEVJOkczd19r2OyUFz9qeWmL7vaw2q/6K2DdIBvCAIoDlEqn9Xnxr/PUaJ2mUzSg9obGxcs2bNE48/dXD3ifHDJk4dfUOhV1zfkLFcYmEiBFIKFGpWos1iFGEFAOrDo6P6jJ4ghJASUiIEFsVYkN0nNj2z8ImVm1ZUFLQfcfmILm27QAZJjizkcMmBAMKgEAABIICURAI+qtMTQkJICQoA8koK+/Trs2H1mvXr1iOEitu0efvtt7ds2TJy5Mj27dtHHZUiQeM4jhDi2LFjDQ0NyWRSSnnixImNGzcOGDAgLy+PEJJIJEaMGJGbmztv3rwlS5ZonRpZkFJK586d26VLl65du8ZiMR3nhg9WpBk+ywWbUj16o4+SHv/ZbHbLli2PPvro2rVrhw8fftttt5WUlKTT6WQyGQ2dpvxsJZUChAABMs725xwhpFJA9fkOxtXV1UuWLJk7Z25tbe3VI6++7LLLPM/TM6RSSu/zzTG9wWD4P6JEdWxMx8mklJlMJpVKcc5d100kEq7rEkL0ahfFwLR0Y4ydOHHi4MGD27Zty2az77333iuvvJKbmzto0KBTp04dPny4tLQUY6zPgrV+9X3/4MGDa9as0UYkr776Ksa4e/fubdu21W0n33nnnZMnT/q+jzEuKSmprKxs166dPnN/7733du7cefnll+/du/fgwYOFhYW9e/dOJBL79+8/cOBAXV0d57xLly4XXnhhbm6uVrc6x/Gj9ajOhdWdMBFCdXV1y5Yte+qppw7sODxuwNRpY2/Mt4tViD2cqK3JFCbtRi5BAUFYy1CFAGFASAEoQAg+pIZVKlAKYYwJQVIqAGURGrDM4eMnn1z88Mp3lnQo7jxqwOgLSjtDGpCkIGkgBCCsCAKiEFYIFIBEQmGpgH74CiRVjpMMJUAIXIqKyvYxYq1cunzB/IXlle0OHTo0aNCgyy67TL9ZSqneJ+hoaKdOnbp3775v3745c+Z07doVAKqqqrLZrFb2AFBUVKS3E57ntW/fvm3bttGeQSlVU1OzYsWKb33rW/n5+XoLEWnQM1oBGf5xoiEdhZ91MDsIgk2bNj388MMbN24cMWLEjBkzSkpK4vG47/tCCK1FFbxvIIox0m1sTXz0nGNR6gcBxshxnFMnT74+7/WXXnypsbFh+IjhQwYPoZS6rhsEQV1dXTwet21b95L4P7nNM2LUYPjCoc2Y9GJ24MCB06dP19TUAEA2my0tLe3fv79u7xHFHaPpz3Gc3bt3P/zwwytXrsxms0899dT8+fOvuOKKyy+//K233vryl7/88MMP9+/f3/M8rUf1c7755pv3339/bW0tpfTf/u3fCCHf/OY3x48fn0wm169f//TTT7/77rs6HaqsrGzUqFHXXXddeXl5KpV67rnnHnzwwe985zvz5s07fPhwt27dvv71r1NKn3zyya1bt2pdVVZW9qMf/Sg3N1dH41rW6X/YlC2E0A9jjGWz2WXLlj366KNHjx4df+3EqZfMKssrFxxnfUbAitlxP1RCSoKxQk1hUYQAkAKkACsABR9S6K4XegRICCWUwogAktt3v/fK8heXbF/YpUPnMQPHVBZ1hDSm3MLSzQZMYYRsrCwElgSssJSIK1AKuFQffkwPCALBOVVECIkRQeSCijZ1F174zjvPrFy3Zvz48UOGDInCaZxz3TJeX58+ffrMnDnz5Zdfnjt3bocOHQoLCy+77LJx48ZBizwNAKivr6+uri4oKOjVq5dOtNDVM6+88ko8Hr/00ksTiUQUX4dmzy8THP3Mt5HRtlB/JHXzgk2bNj300EMbN24cPnz4LbfcUllZKYRoaGhwXZdzDlhhjJSC5gxprO3GTFi0NUAoJZxLqU6dPLlgwYKXXnypvr5+yNAhQ4cM1XFQQCgMQ1022tDQoD+5/yd3EUaMnlWyng31BHKFlw2hhTOcuTKt/K7p+6VvmR9zvGyY9Ww3E7Q0+fubX7fOJS2VShUUFAgh1qxZM3fu3MrKyokTJzqO8+tf//rUqVMdOnTo2LEjtEjobFkFf+GFF95+++1Kqc2bN48YMaJ///7dunUDgEQiEQSBlNLzPJ1rr/9cTk7OsGHDTp48+fTTT2OM/+3f/k1KeemllxYUFGzfvv0nP/kJANxyyy29e/c+evToSy+99PDDDwshvvGNb+hEgoaGhj/+8Y8DBgwYO3ZsSUlJbm7uiy++uHXr1unTp0+YMKG6unrbtm0lJSVhGOpcWO02SghxsrFmByYIvIy+IxlPUAgt5foxx6rPsECuWrnmgfseOrj34OTrptww9paChvJUo+9aMSQAkLJtkkoHMZcKgXWeXtNZvWr6CisQXCGEVJRCikApAAUENSlRLqVQglB8tPr4wjWvzN3yTLcOHa4ZNq6y9ALiW4Q4wkdBEDq2FwJXTaf/EgAUAEIACkBiAPHhATMaiIyDvYAqRBxBedWxhgP7Dygpu3btevLkyRMnTrRp00aHurUloY4iK6Xy8vLGjh07ZMiQTCbjum5eXp6WLFGahD4C3r59e5s2bbp3766VkOM4nPPGxsZnn332qquu6tixo9Y92neGMRaGoe7wRAjJzc3VRgfQbO9qZrxP9GltuUZgjLOebTVmOOcIW0KyjZs23fuHP2zdunXYsGEzZsxo27at9niybSeTSefl5/u+D4AAgTYQ1TFR3mQEawTA2UC7uiqlMMK66Xx0QxkLHduuratbsmTJc889V1tbO3LUyGFDh9m2HYZhLBarramxLCuZk5NJpz/asc6IUcMn0DQ4K5HFcFZxjJhj0VQ2CBgpzDEXp/UuBgGhGZ8TBAAhuDhIWdkw69lWNuSgqIJoXYfmOm7d3qbVzhoIoYKCAgDYuXPnj3/848GDB0+cOLFDhw6nTp0qLi5uWbSkxYSuZdEKxnXd0tLS0tLSjRs3HjlyZMSIERMmTNDqNiowaik79GXp0aPHmDFj3nzzTc75rFmzorn4hRdeOHTo0A9+8INx48Y5jtOzZ0/btg8ePLh48eI777xTF7kDQLdu3e6+++7OnTsDwL59+06fPl1UVNSnT5+KiorKysq+ffvql6dLnSKjdREImsWIAHM4IIkLggwoBlyAy2IOAPAsXvnG+l/f88d9O47MHH3ztItuip0uzCqCIR6GgJCtAIJQWZbNBQA0p94p7ceIQCAAEFKhKp96jnBB2Ih4WFLgAhQDwRURQJCSUthueCo49uCC376w6i/dunSdceU/FUOFOoUEIAEANmAHSRQSPZAYQJOSRzohVREA/FGO1nGaDISUiiAqUF36zTff3LNj15Qpkysu6PD666/fd999//Iv/5JIJM6wJmiKzRCSk5OTk/OBWUgXLSGEUqnUli1bjh8//qUvfamkpCQy/EII7du3b+PGjbfccksymdTJizq5Yu/evZs2bWpoaLAs68SJE1dddVX79u09zysoKNDrqzm+/zs1KDT3gIi8I8KERzKMJWOyptGy+PZt23/7u99tfHvjpEmTpk6bWlJSijDhQgjObcuKJ5LpTBZjvaFpQvdiIARrc3XDWcCy7SDww5DFYzEpZcBCx7a1PEUINTQ2Llq48MEH/9TYmBo/fvyIESNs206n047j6M8LAGQzGZ1jAyZn1PAZXOtUFhHCYjZkGAhQAeEJjyQ8c2VaM8gRkIEwE2BCbMdnOZ7WCaw5XNqyF5EuQNblHa12kQvDUKdL/vu//3symZw5c2bHjh21i+Tdd98dqQ2tp1OpVCKReL9Bi1LaIl4vjUEQ6PnUtu0gCPSpd3SS2ByhsfUTtjSj0Wpm165dubm59fX1hw8fzmQyDQ0NJ06cSCaTqVSKEKJTBTDGs2bNKi8v19K2rKysvLxcB3RjsVifPn2io+Qzq+xlAJhyIoQIHXAYY1wGllMMAAJSVspdtXrNf/z3T069V/uVaV8befm1rhNzbM8PPtlEjxBQlzoeZgS4FH5WASWYACUgFVKgACsBvKax6olXHn9q3hM92/a8debtBelixNCH6Y9PFXpBCjhRSvn+S3NeOHHk6JixY/t3+1Im5lx77bVz5sz5wQ9+8Ktf/QohpK0MPmynpOOgOnVYK6GdO3emUql+/fq1adMmCALLsrQFaV1d3csvv1xZWTl69Gj9YJ31u2jRoscff7x79+7f/e53pZRz584dO3asjlU/+eSTw4YN++tmWoa/eSP0VjByitCSFGdlmM1aiFhx99C+A9///vfXr19/4403XD/5+oqKtvpgV0ih/ZtM34FWQl1dHcY4HosBQrp5kpDCohYXnDG+csWKe++9NwiCGTNmXHrppXoHnpuX52ezXyyBZAbKWYMnPACwAsY5l0JQS2FAIhRKKekkzPVptYgYoJilAERWkgwTYQgA1CZ/s4w6KihutWFRXUC9dOnSHTt2zJgxQx9tRymkURgmnU7H4/FEIlFdXR259kT5ajortGUSWzKZjFof6edpKWEppbpCP4rGIYQOHTq0a9euH/7wh/qK6XU3k8noaptMJlNXV6flkRa+GONYLDZ79mzf95944olnn322d+/eN9988+TJk6M3qAUTIcSyPAY+EBUjucwKpMUBbIAsgEchsXzBgn//wQ+Pv1c1Y8KsqweO7lxaKUPR0Bgg9Mk2EgqQiFFGQAAghQkHDAorAIIEcIElWKS68dQjz/3xz0sf6+R1v2nK7e1yOoQZS35w8PwjSjTgGdtyYsRpUMGpY8dy8/K6dezUs1t3fcuKi4snTZpEKd24cWOPHj10vPMjhkcsFtMH7kqpJUuW7N+/P5lMHjly5Pjx4/n5+d26ddNDpaGh4bXXXhs0aJA24iaEOI6zfv36Rx99NAiCIUOGaJuFPn36JJPJ0aNH33PPPclkkhCiQz4t3bgMf2N30SLjWe/l9C5XetjFXpBOHzl+7Gtf+9q27du++tWvTp48uW27tpRaSkohhJQKY6zb1BKMTW7oOSfmeQihIAw55/rrkDHPs4MwfOnFF++//37O+aRJk/r07RPZAAe+/4WL1pmBclalQH1GEUQdCkBDcKnwEUjiWMwR5uK0TqyAyUYmkjEAQEpgAsrxCBbMsThAFBzVp9JntPBuzcHRLVu21NXV9erVq7S0NDKN17meQRDEYrGo105BQUHLVIRI82UyGf2TbDbLGNNlnmEY6q1/dNyvk021ptTPr72B9O9eeOGFd99998UXXwwtXE4dx9Hl28lk0nEcnaEYqah27dp997vfHT9+/IIFC+bMmfPLX/6yoaHhlltu0b8VJUiEdhYoIsTyrbRQoZVNuACZdDqOEgveePlnP/7F8T2nb5355etHTst1SuoaAgo2KAmfNGCHALkozQSWiCJMJagQJFEcM2WBHSdHqg8+9fpDL616vnNOj298+a7CnMLM6RALONPhH97v6/RJb6hNnVAwjgGEE48nrrjsipxYDJhKSYWV4pwXFRVNmTIlk8nEYjFdDPERejQymj1y5Mgrr7xy4MCBeDwOAFdeeeXkyZP1tkG3+Tl58uT06dO19E+lUq7r7tix49ChQyNGjLjiiit0WH3v3r05OTnl5eX6Jmqxa2aVj+avbdci+wJZUw/x2OnTp775zW9u2bJ51uzZ06ZNa1PeRinFWBj5ierEUH0ib2gtSwmllBAhBWOcUlJVdXrVypW/+c1vbNueOnXqZZddFpUGnhfriBGj5/NYzIbSshABkEoKsElWIAoghDQZVK18D0EBAOrS2LOZYwGABExSIcJSqiY/9par+xltjVqbEtWHdwcPHtS+SIlEIpPJ2LatFzxKaTabXbly5fz58+vq6m666abevXtHPlBRZFTXretoaFQQ0/JfM5mMnlj1v1JK4/F4Op2OQmLpdLpnz54bN260bbuioiLqs6w7UuoE0DAMwzDUgTfdwVKLoWQyefHFF3fs2PGiiy7693//97lz59566616FX//yN4GSiS4acGI4tQP/RyeLyR/Y8lrP/jxD1JH/dtm3jFuxPW5sRJLWICpCIFg+olXbwwojngKqEAEQIRKCIEdZNtE2nL/8Z3PLnjytWVzOxR3njVxdlGylDUwB8WEJJ9htAoBoQg4AFiQm5sHWNqYWw0ABMJme3+9u8AY60DmR5zU658LIXJzc//lX/5F3wgpZU5OTlFRkf7X+vr6efPmdezYsVevXjrQHovFEEINDQ3pdNqyLNd1pZTV1dVvvfUWY2zkyJGRkZa+m+aY/iPQ16dlam/LZPTD+w/e+fWvb96y+Wtf+/qIq6/OLyjACCOMpNTdEhDBBAAY59pN3Vzqcw4XAmNkWbbgnDEei8XCMHj9tdfuu+8+QsiECRN6Xtgz6ngXOQEbMWr43KYYpVjMVlnJs2mEFFj5jScPL126ZMvmLV/Y8XceCFGEtCV7NptJJnMYC7PZrOfFKKWglJSisLDw8ssv79u3rzZ7b+XFGVErSH0edOrUqbq6Oh2sevfddy3L6tKli7aXnzRp0oYNG/70pz/de++90RoJLQpfdNRTFw9JKbVqif4pHo97nqclJmMsHo936tRpw4YNu3bt0j1CPc8bPHjw22+/vWzZsm7dunXs2FE/c21tbXV1dadOnYQQWtM0H7tbGONDhw7V1dUVFxcXFxcXFRUVFxdzzjt06KCVq468RsHRgAacg7KoHVhUkNpMzfJlK3/48x+d2lN3y7Rbxw+7riy3vQwxD5GDMCIQMqUrjj/ZSkMACLYIQhykFBiDayNJ5dYDW/7yxlOLN7xZXthu+oQbK4o61J1O59MCGSqw0GfY/M7nKYd6NiYcuLAoQKA4oogxZEOL5Apd3q4l6cdrbIwTiYTuNR+1P4iShk+cOLFs2bJZs2Z5nqfHvN4GDBw4cNOmTYcOHVqzZk1xcfHChQt37Njxgx/8oGfPnlHc3SjRv+dDGnWL0J8yfZgglNq9fce///u/b3lny/Tp00eOGtmta7es70slbctRjOmwupQyKo4hmJj4aGuIiUolwzCkhHie19DQMH/evEcfezSdTs+YMaN3n965Obn6gwYA2vVC79mMGDV8PtsjUCQVAkbUsjBS1ccPvP76vCeeeGL/vn3SpPW0YjAgCUoIEfNiYRAwzpLJHCUlY6FSqnv37u3bt7/88suh2d4yqixuzfJ61KhRzz///KOPPkoIKS8v37NnD+e8V69eOn+0e/fuiUTCcZw333wz0i6RHNG6U+sbPWMKIXzf1wflehXUEU0d6aSU5uXlde7c+ZVXXvnOd77Trl27IUOGjB49etiwYW+//fbatWsPHjyo7YFqampqa2t79+79rW99KwzDbDbrOI4+vteW+0eOHJk7d+6xY8fatm2LMd61a5fneSNHjowc3fVLIoRkvRQHZbE4ySLOfJZhbyxa+pvf/vbozhNfufHO4QNGl+S0JdwmErgCP1RIAvpU8WwhAREMCgRSyAaL4sawfs/+nXPXvLD67eXtC9qPGDqyQ3kHmUYxJ8dPCSwpUIU+mCf6j7TDodTmSnElkAJJCQLC0ywlsUOaam+DIHBdV4e3o85YHz1CMpmM53k6AVdvNrQ20ruFdevWhWE4duzYaGzoTIxu3brddNNN8+fPnz9//uDBg3v06NGjR4+LLrooNzdXbxKi3pV/T5esLyx/bXegTwbe2bzlf379q7fefuvmm26ePGVyeXkF4xwAhJBhGOg8mmhQRYf1hlZyTxECQmnV6dOvz3v9iccfb2xMzZo1q1fvXslE0vW8TDotpdTZLFFLDiNGDZ+TCMB6cAk7Xnvi0CuvvPrQww/VVteMnzC+Y6dO5vq06q0toSFnFrU4Y5ZlcSk2rN+watXKUydP6kJvvcq2DGy05mmREHLxxRd///vff/vtt7du3VpbWxuPxysrK4uKiiiliUSCUtrY2Lhnz57x48drnRd1CtWrY5cuXQYOHNiuXTutRC3L6tat28CBAzt06KAPynv16qUDnDo4mpeXd/XVV9fW1u7du7e+vr6goMCyrMLCwptuuql79+5bt26tqqpyXRdj3KNHjyuuuAIAbNvu3bv38OHDL7jgAp3mSAiprKzs37//unXrtIV+RUXF5MmTL7vsMq2HdBhVv04JFgLCLUmUymYya5at+8Mf/rB/+4EbJ940buh1RYkyyh0WSiWAIEwREujT5GuCAixAu4AyJKgLkoh9R96bs+LZFW8vL0oWjRgwvEeHC5WPkCBI2QwEQhiB+OuV5tP8dQAAcJQdgkBAEAopA2k5GHGMuMUldyk0h7Rb+sJ8bD27vph6T6VlqG6XxRirqqpat25dnz59unTpEhnd69yPurq6AwcOlJWV9evXr0OHDrm5uclkUj9Gy9m/zmkxfJyCQQgh7Wz/x/vuW7du3bSpU6dMmVJeUUEpQYAUIYRgvZnR5vZKNbWhl1KGjBFiLvi5v4/aYfTkiROLFy/+yzN/SaXSEyZM6N+/v95p6HKlyJYuSnwyYtTw2Uwi0YwfBIFt2yzmWAEDgNTJQ6+9+srDjzx86uSpSddNmj1rdkXbCnPRWsMto4RKKbkQCIH+WrcUd13P97NSKkoIoXTlihXr1qwtKy21KI3KC6JVv/XnniOEcnJyZsyYcdFFF4VhmEwm27Rpk5ubqw+4LctqaGh47733PM8bMGBAy5VMf00pvfTSSzt37tymTRtoNp3p1KnTnXfe2aVLF+1sNXDgwM6dO0dZhp7n9e7du6Sk5MiRI0qp3r17e56nY7EdO3a88sor6+vrdbF8WVlZSUmJFqODBg1q06ZNt27d9BUmhFRUVIwZM6Z3796nTp3SJfxdu3aNUlr1Y/RpF4IkAEjINlY3rlm25sH7Htq9Y+/ksdOnj7upNKeCCAc4kgyUAISRdpr/iLlfKomg6agaY0QwCAm6XkQFQDBCGKgLCsutezfPXfnsqk0rSnKKh10+olt5Nzt0BMNY2VwAsS0pEUGfccEiQQRhCDFGIAHAspETvH/LovEZhbc/Vp3oCrOo049WkLpQaffu3fv27bv99tu1L7ceM9pC4fDhw4sXL9YpyCdOnKisrOzcubPu1KrLcbStmNFGLcOfUZVSdF+i66OztBljb7/99gMPPLBl8+bJkydPmnRdu/btlAIhpN3Cth4h1DREkUKAoh5L5mqfpUkVEKE0m83aej8MCiOsbbb0A6qrqt98883nnnuuvr5+zNgxQ4cO1Vs4fSivi5ai3doX0JbLiNHPZYqBZtPvKB6gfy4kqTt9Yt7r8x577PHTp05PnDRx+vTpZW3amOt2zpFSqeZEqzPiN0pBOp3GGDu2zTh7e926Z555ZtfuXb179a6rq62uro5OHnUUsJXP/tGC53nepZdeesbQ1a49R48eDcOwV69eurlRdDWit1ZeXl5eXt5Sgtu2PXjw4OjZSkpKtKaM1CohpH379u3bt38/3mxZAJCTk3PhhRf+zZfa8kkiPM/r3Lmz9sBv6Q0edYp6/z1mWbY2tXbF+gfvf3jrOzvGX33djHE3lee1VyGRDIFAWCIApOT7pewfJfgwIARCglQSK/0HFALEfXDjwJFUlnrvyI7nFv95zcaVhYnCwf2HXdixNxZUpSUBSypACAuKJAIs4TMcIgIBQqAAQFFpCwTg8BAQBuB/c4b/2DP6M77Q91evjg0NDZs2bQqCYPDgwTq3OHpwfX39yZMnS0pKDh8+vGDBAiFEMpns2bNnnz59RowYoS1jW4ZajUiK/HrP2L5G10f3nd+yZctDDz20bt260aNHz7pxVlFxcVMpDOdccJ0V2jRxwfvmDPqjQampjj1bdxMU54wQQiiVQrTMtVCgqquqlyxZ8uKLL9bV1Y24esSAAQN0KYIWoGc4JX/RYqJGjH5+skZG21w91+hF180Ep6uqXn/t9UceeeT48ePjJ4y/8YYbK9q2NZNyawBjJITi/P2C8ZAxAKCEAEBDJpOTTNqOvWLF8qeefnr3rt29evUaPHjwW29tqKmp0XZFUZHHeX1DM5nMu+++u3bt2pKSkpqaGu391JqFdaShoy41WjqrWpJKnV69YvUTjz35zpbtIwaOvPm6L5fltIeQKI4VxyARKPSxGrRpeCCMMWAMUikhFFNAMKYYIQAJIAUTSO0/uvv5RU8ve2tZeX758CuGfqltDywtHBLgRCJQREoC0sIKKwjhvMsS126X+/bt27Rp00UXXdSuXbtsNut5nlZUtbW1ixYtYoxdd911Sqk9e/YcOHBg7969CxcuXLVqVY8ePSorKyMLd5MzGsmUKCTWMhIWyVPG2DvvvPP4449v2LBh6NChM2bMaFNe7jaHls9wBzOc860F5yIWizEWYoQRIC6ERamU8tSpU8uXL3/ppZdOnjw5fMTwq0dcTSkNgiAej0fdQAxGjH5e6KVRB4TS6bTnebV1dYsWLXz4oYeOnzgxfvy46dOnt2vfDgB0JwZzxc7x/cLEth0pBBdcKeC8qfJGFyQlEwlMyFsb3nrggT8dOHDg0ksvHT58eNuKio0b39ZKNHJj0Zvd8/c66J7jJ06cqKurc123uLi4Xbt2rVw36NCCXsJ1LyiMcbauau2q9Y899vhbb20cNWj0rdd9tTi3AguHAJVCgEJKtXhTqPm/j1JjSkpQCpGmHt+glOJK2TZKM/949eHn33hq4cr5xTklg68c0rNrX094KiVBEMWRQqBAAZVAFCIKmAR1nkkxnUa8efPmY8eOfeUrX5FSJpNJraUAYNeuXc8888zMmTOvuOIKpdQll1yinZ6ee+65e+65p6ampm3btlFM1BTUQwuTtchxIuolpv+fzWY3b9782GOPrV69eujQoTfffHNlZQeii8lEk22TLlFCnz7f2PDZhTMQ9jybsdD3g0Q8znhThKKuvn7x4sUvvvhiXV3t0KFDrrrqKn1KYFlWVABqMGL0c9nv6rPCljEApVRdXd28efPv/eMfjx87PmXy5BtnzSpr04YxHvO8IAxNm+BzThCGTtPBmU7/pzrphwseBGEikdi8adNvfnPPgQMHevXqNWLEiLKyMt/3dXOglsY35+8qq1fHZDI5atSoUaNGRVXYrf8d6U+ZNkPRcabGxsZVK9bef99DW9/dOvKqa746/a4LSjo21oQUZMilkjgKTCrUQomij9irABNSJw1TgqRUXCgFSkhux6Cu6sSfX3301VVz2uS1Gz9yYreOPWzlSkZAYgVYIVAACgNgiRGG8/azvnfv3g0bNhQWFvbp00ePdt0fAQCqqqp0qvGxY8fy8/N1Jb7v+5WVlV27di0vL9d9RPXRpN6lGz0anc/qCxIVQerkru3btz/00EPr168fNGjQzJkzO3XqxIXggutMZUqIjqfqE3lzMc/93QQlOBdCxmMxpVQYMsexq6qqli5d+uKLL1ZXVw8dNnTw4MH5eflag7ZmO2ojRv9Pof19fN/X/YIXLlz4y//+76rqqmnTps2YObO8olwIGY/Hz2hsYzhn+1qMhRRhyAghtuUopbjgQgnOhW1bO3fu+M///M8dO3dcPeLqkaNGxmPxMAwtSnXotOUBsV5Rzse1Qe+adJQ3qpo/X96IEMK2bX0EwRhbtmzZvfc9uO2dPaMHjb1t0lcqizo31vk5Tq7i0JhmVM97+ohen9VjAKQwwIclc2IMWCqFEMGglGJCIgQ2JUziw/W7n37tqReXP1PhVY4bPr5b254xlRAB8FAiSQErRQEwKAI6kIXgfDVy27dv39atWy+++OKCggLbtiOvewDo3LlzaWnpypUrfd+//PLLKysrT506tWrVqu3bt3/3u98tLy/XlmG64Ekbl5qYUMvjFO0uGYahnkDee++9P/zhD0uXLh09evTtt9/erl07IQQCwJgAvN+zV4ESQltuGT167rcWQkoAwIRks1nPdYMwXLZs2SOPPtLY0Dh8xPCBAwd6rscY8zwvk8noteMLWKhkxOjZG5HQXJmhlIrFYkEQvPLKKz/72c9On66affNNN95wY5vycs6F6zhSCD8IXMcR0rQDPcc4jqOkFETqWshMNgsAubl5YeC/t+e9//jJf+zatevifv2uGXNNIp7AGDuOgz7YQjr6upX7jH7E0NUh3jAMGWOJRELXxbfyHXzLtk/xeDwMw0WLFv3617/euW3/xKE33D7pqxXFlZkG4UIym5FYAUYE1PtBUIUAYYUwKARKfahOVAoUYEoAY6SXHItgAH6y5sQjb9z39Pwn29odb5pyS7uSSpkC5FoQKuaHlGBFAZBCWCCMEAYiFQpBKKTOw5lt2LBhPXr0SCQSrus27d+E0Jqye/fu995775YtW7Zs2bJ69eply5Ylk8nLLrvsjjvuiKrFoblIP+pK8EUmyvjU6UAA4Pu+/sTt27fvxz/+8fr168eOHTtjxoz27dt7nldfX5+TkxOErCnZVPDoGEcf1pse9Od4a4GJ41iNjY2csWQyp6Ghfs5LLz3+xOM11TXXXDN60KBBOckcfYCTzWZ1Cw+dm2EunRGjn9eUrScXvc0lhLz66qv/+Z//eezYsTvvumvCxIlFxcUWpZZtB4Hv+0HM8/wgaGHQYTg3+L4fqUmdwhvzXARy69atv/3NPStXrBh77bU33XSTvr+2bfu+LwTXCaPwwQrlaIU+v4gy2GzbbulJ2frteFrWgjQp0Z07pwy/Zeqwm0uSbVzlUQI8kCwUQiiHWkoBSGhyBEcAGJQ+S0dIib/9Nrloij1JCVIii6CQ+zve2z1/+dw/r3qisqjDzOtuvKCiEgcWVrFstS+BWLYjMCgLkCURIkhJzBVwCUoBEDjfsvwQQoWFhfn5+VqD6v/rBoa695XjOL179+7du3c0cqSUjDEtsMIw1Gax0Ny19Qu+DOuzeL1rjezPdEz0Bz/4wfLly6dOnfqVr3ylQ4cOjY2Np0+fjsVimUxGoaZ9l9b3hGCMcOTiZDiXN1TJMAwsy4rFE+l040svvvi73/0unUnPnDHzyiuv9DzPcV1QKp1O6w4UJ0+dLCstC8PQHI0aMfp5Tdn6AEVXUSxduvSb3/xmXV3dnXfeOXnylLI2bRzbllI2NjZaFk0mk2EYmOOqVrGvJVgbpujueZ7rKgXr1q3/4x//sHLlqmuvvfaWW28Nw9DzPO23Qim1LKozFPUd55xrb3DHcc7PK0A457rpjt7B63enw2Ctefun9xKu665cufInP/nJe++9N3PmzBuHzWpvd5USfJ8piZHCjk2VBIohCAGalShGCpACUIAAPnxVoASERFIpbR1FMDlZVT1/9SuPr3uwpLj4pltuvqhdb9FAwgbpN6QJijm2IwEhrJAFQAEhiSQCrqRUiEt1fn7koyC0/j+lVDdqimrqP9BTqtnPS3+rf0XXDpvIaHR99DWxLEu31T1y5Mjdd9+9Zs2a6dOnz549u7S0NJVKEUKKior0wGNC6NbzUkmMMCZEChEyhhAyLk7nfCJSCjzPq6mpnvf66w8//JBSasb0GZf2v1Tvx7KZDOc8Ho/rUvqS4hKjRI0Y/QzIejZqyFKHMqfZ8Lw+IxFSOV5TKCWdXrRw0be+9a3a2rpv/8u/TJ06tbSsDGMkhFCgLIsihHhT02dzOc+qcLGopd2JOeexWAyUChmzKAWlEEJCSCklxmrXzp0P/OmBt996e9z48YMHD/ZiMSGEtqHWFt+4uW5JxxQjz8XzWZGTKMGgVWUa+PXURZgQ5dOAWiLmspAIBcoRmAvsKxkj8XmvLPzPn/1i367DU8bNmjn2lo5Wd1ptCaWk5KgpniQtakshbSWlFJQ05dJgjKSSUgpsEekqgTm2MCaEhwEKwBE2cBUEmUSuw10VWAFy8JFDB55c/Ogra1/6kn3BtKu/UuyXBEdjCFGEJUlKBAowwwhAKsg2xUAVSKUQKKqIwlg0/VAhJQgAKIWVRIAUILAsgjBi3JcyJBRTCwkldtStn7/jxcCtHz5sXJcOHdxMwLkEbjc4DXGaAwgsgJjMQhYAIEtiEP+8JFTLbz3PO8OA9kNXGkoj+fWFmvKy2ayuAtSb1SgOykEpiUXCtrKICQBi1dTWfuWr//TOO1tumDVr6tSpHTt1woQGgY8AGOfZbNZ2nMhH3XVjQnDGQmiux9dtfhBCWps6ti2EkKqp6o5xjhDSTdKFkDqkKqTQLti2ZSGEhBTaNl+njemuH1JJ3eNeP9iiNGTMcRzGwjBktm1pcaz/1XEcKUQmm415nu24jY0Njm0TSsMwYIxjjCklBBM9fypQCJBl2+l0Wm9XLEqDMNSP0UEB3VkqCELHsWOxRH19nWPb6UwmJydHSamT3DAhvu8DAMGYEBKEoR6ZDQ0NMc8TUgghMcYYN/nu6aBDJpv1XFdP4EEY6hVZCIn1tA5IKhmGLB6Pu65XXV0FADk5OalUCiHkOo6+Mrg5UK1LDqSUQeAvX7bsv3/5y5CxWbNm9e3XN+Y15VXrCnp9XKDHg1GiRox+Fst2YwZbNMxkUTa0HEsABcuiBBiAFbDGmtpFb7zx85/9vKa29jvf/e6kSZPyCwpQ05r0AS9ccyXPrhgFxpjvB/qU0LYtUEoIgRAwznUs0PM8JeX69esfevihLZs2D7jyyiFDhrRr144zpicRPYNgjP96ST3fV9m/brbUSnCQJZUQwBEihEhOFG2ufqdE8QxevXLlT3/68x27d0ybcMO0iTdWFLYXKSncQAiBCbUpVUoyxrhidswBKRxqI0AhD4QUlNiUUKkQE0ISCIErEHmJXBQ42TCFCQIhsU2EDcoFK2bvOrzjiTkPL1m1sF2s/fDLRpYVtLWpDZICQkqBAqkAECCkS5Xez0ONrieKlChIvZgBSAAAJUEi6VA7la7PyU0AoowHXLFtu96Zv/nlwEvPvHHG5Ouv1w2sKaWNSFBCQpRtDQPm73nkF3Dn7bpulAATXQqlFCJEIoKzEjBCSpw6ceord9yxfv36m26+afLkyR06XOAHIecZfdgilcCEOo7r+1mlACHw/Qxj3LKo58U5Z2EYYIQJIUIIx7YBQAhBLYuxEGOIxRNhGARBwIXAGOmsmyAIMEaOYyOEamtrY7GY53n6yM6iFuNMSIERVhL0TeNcaFUtg8D3/Vgs5rpeNpsNwtC2LItaQoggCBBCMc8LGQvC0HWckDEuhFLKsqjjuADg+75OZNLbeK2S7eYqC8/ztGO8lqEAIISklFqWffr0qdycHEIpDUPf9ykhCCE/CCxKbctCGEshUum06zquG+Ms9FxXK2nXdaUQXAiCse6tSgjOzc3ljPlBYFuWY9sKlG07GBPfzzSlQCDiOIix0Pd913EAIJPJ5OTk+tlMyBhCoK8SQsjz4n42w7kAgAXzF/zspz/FhNw6a9aXenyJEhr5A8IHrWGNEjVi9LMBUyq4tCxLYSqAECxCcC2Rxo2iobF+wYKF//M//33i+PF/+qd/mj59el5+vue6ei9oLt253EJgTF03KnuUUmWZr5RyHUcpRWybUKqkXLly5RNPPrF71+6+ffuOnzC+uKiYUJpJpxFCUU0PQsgYcp09MYohkESCsrDIuqELCjhiSloWZOrQlo3vfPffvrtz156Z183u3+sKlpGHDhwTDPFQIoQwJowxQrBFrSAMHdvO+llKLcZCQqguIwAAjBEITISV5ZmcwtzdJ3YpJvLsvHRNI1HYcmhY7YcOq2O1y9YuXrxqSWl+xdjB4y+6oI/IxLTOaO658vGjQiqMQIHCSiGltL+UQgowQY5tpzMNlkOYDDAFsMS2ne/Me/vVwMlMvv76yZMn68ZXLf3jDK18g6eTa6NgWFNTBsYxcIVpkPZPnTz+ve99f/Xq1f/01a9eO35cx46ddAhTR+C4ELZlSSl9P2tRS0qpZaLrOIzz+vo6y6I6RMc441xQSizLDoMg6/vJZBJjXFV12nUd27IYZ1KqMAwBwKIUYRwEAQAkEnEhZCaTsSxKCVVKSakQAkKRDijqmCLnDCMshHAcW0oZBIHWvgpUEIaUEItSPwgIxq7r6mfGGAEAwQRjrMskKKU6oM5Y6Ni2HwSu6yopEUJBGCpQUmp7AaqUChmLeR4ABEEQi3kAwBmjlOhW7xgjpRDjnHFOKUGAXNdhjCuV1n58jIX6ZetuJgAglSQES6kaGxsd27YtS4HiXBCCtU+f/gnjnBCMAFFKGcsCgGXbDdXVlBAFSgjhua6UUghJKQkDX4fAV65Y8etf/SrjZ2dMn9Hzwp65Obl6e6CVqMGI0c9JjSJECCOuJdIYFHNsVNfAlEil0m8sWvSHP/zh5MmTt91++w033JBIJm3LMtug1oBUEgOmlqVYqGdbfXSIMWacUUIF5+vWrXvyqSe3b9ver1+/MWPH5Oflh2EohNB1S7r1eVPlgXGaPlv4KMQEE6AWowGkEWDBsFRSgX365Mkf/uCHO959T4DauHXzrj17ATBCWCgs9cElYC44QtimFhMBwRbjgYfivswABoSQlIIoCyEsFMOKcMkdzw1CphSP2W6Y9REgQpBUILHK8kx1zem8vMKRQ8d0atsVMI66ZTaFzBGOfGc/VKAoUAqDQkjp+GjzTwGUEpgix7MCmSYEb9uzed6GV7IiM3Pq9OunjauoqIiKV0x+z/kx50gZxcP0jWvKuEWIg+JBsHfPe//7v/+7dMniW2+7dfKUKcUlJYRgfZiOQBBKsZLpTAYAYp7HOGOM27aFEOKCE4yxbbU4Jlae5wnOwzD0XNcPAsG5au7CKoTACBNKdCW+Pj2nhAgpKaGUIi3d9Ou0KBVSMM61/GKca1kJAJRSPVUSgi1K9T85tq0HvN4jUYS0aCa42YJKCh00xRhzzoSQlBDGmUWpkjKVTtu2jTHSurAppMq5DklKKYUQlBLGGcGEMS6EiMdiCCPt0q3jsgghxrjneZRa+jg+k8noZ3AdqsU6RlgHjPV9oZalS1cxwkJxnRWNFFJKSKkAmgxxuRAetXKSSSGllDIWi4GSIWOObUkp6+rrpRCrV69+8MEHa2pqZt900yWXXCKV1Eo0GgAGI0Y/F0JwgQCRTAERjFPlK4KqqxveWLTogQceOHbs2NSpU2+44YbCoiKEkO04vp+FL+QpVStbGJQEoUDpbCdKLYQYAqRPmrjgK1aseP655/ft3du7d+8hQ4aUFJfo/T0051BqYWq6yJztrR9gpKhwUmmQkCWSKkQBBzRohEzKX7VmXYFb2r6ig0yjfXsPx+xEUVHpyfpTWeaXFJUAwKlTp13HadOmvKa2/tiJE70uuqjqdO2pqhMFRQWe51VXV/NQFhcXS8SPHjlWlCwuLHP37TsoePClbl+qr05XVZ8uKy+LJ+KHjh88UXu0tKjskn6X9b6wH/UpDijXaXfw9ypRAFDNp/NKISSh2WpKKVBMckIkdUBh8s7uja+vfjkrM9OmTL3+uont25edUSEEzYZcZoS0WiJne21BoN18lVIKLKn4e7t3/fa3v121atW06dOnTp1a1qaNdlYhmEipgjC0QVFCBZVN0w4mDLgeZhhhjHEkE5uGoY6aCwEIua6bTqcxxvF4PAwDqRQlRDcdwAj7vi+lJARTQrSXPkIghGSSU0pAAUYYE8wFF0LaloUxzmSz+tlYGIaMEUIAS+0tpR1IKLW0nbu28ZdSccmUUo5tM851gLOmuppSWlRcfPr06VQ61b59ZV19fUN9fTKZTCSTp06etG27oLAwm82mGhvjiQQApBoba2tre/bsuf/A/kOHDnXq2Ck3L+/tt9+mlF7QsWNdbe3+A/tLS8vKysoOHjhACOnRs8fevXtPHD9x4YUXZjOZlStXFhcXd+7cefuO7YcPH7788svjsfhrr7/WtqLt0GHDFi1ceLrq9OhRoxtTje9ufbdjx47tKyt3bN9eV1d3+eWXp1KpRx99ZOCgQUOGDPmv//eLouLicePGbd++bd369Zdffnn7du1WrFxZdbqquLjopZfmHD58+LrJ1w8cOFBfBJ0eGt1081kwYvRzATkCNWQRpSJm0RRHCNfX1y5auODBBx86dvTohIkTZsycWVhUpJNgOGP6WMFct3M83InOtdf1RpaSUrduAwAu+Lq1655/7vkdO3boHkvFxcVBEHiep5cBvTvXc72ObegUe8PZWNGBKjurZSnBEgCJAO/dc2DhvEU1VfWU2H16XDJx1GQknONHT8RQTkl+aVVjVUo0FueVEEqqaqodyy0pLjpdVV1dd6pHt4saGmpPVp3KTxZ4nldTWyMUKy4sYUyePHasMK8kv03BwRMHmch2ats5U586VXO8TVm5k3RWblm8cNXrGFOXxGzpiSwjwgqbh4Eu/mgZJf1IPYoAAGRzRqlSCCmMJVAkqQpkZtu+La+tmBMif8qU6ydPnlBWVqxbTOkwmO4UbzeHowytdx+FcVO9jlL69jUZY/Hs1m3bHnrwoTcWLbqk/6XXT55SVtam6vRp27ZzcnNrG2sBwPW8xsYgDALbcRzHOXnyZBiGJaWlDY2NNdXVRcXFjLGDBw5QSttXVqYaG/fv319aVtq+feWunTsZY1cMuPLkib2HDx/ud/HFnPPDhw4lEoncvLzTp0/VVNeUlpUmE8kFCxeUl5ePGHH166+/XlNdffXVVzemGnfu2NnhggsqKyt37dx56vTpSy6+GACWLVvWrVu3zl26/OHeex3XGT1q9Lvb3t25Y+ell15aWFS4Yf0GLviAAQMaGxpXrFgxYcKE8orye39/74UXXdi3b7+3Nmw4fPhwr969Gxsa5s97vW27dtddd/2SJUveeeedW2+7VSn15BNPdOvWffQ11yxYMF8IOWz4sNqa2rVr13bp0qVv374rV658a8OGX/zyvza+vXHOSy/ddMvNHTt2nDt3ruu5EydO2r5t22uvvTbi6hEDBgyYM+cl1/W6de++du3aNxa98aMf/ygIwtdef61zp87xePytDW+tW7euqKi4tKTk2b/85eKLLxk+YsSmzZu2b9s+YMCAUydPLV++HGNcVla2c9fOw4cO9ezZs6GhYc3atW3btVNKbXnnnXg8NnTY0L179+3ds+fivv2CkO3bu2/9+nVSyP0HDlxyySVDBg/RH0/XdTOZjOM4euEwfqJGjH5ekFQoATAB1ZAGSuqqq+fPX/DII48eO3r02nHXTpkytUOHDkqBRWkYBrqe0Vy0VrGLQAgh0Efz6WxWCOG4TjqdXrtm7dNPP713396ePXvqiiVdoakXe72W6KCXPpZljIHZXZwthBtgqSiyuBUSjLiPgtBvbGjctnVHTXW9jb1O7TsPuHioxRO0FxK+BQwDUlIwQIgSKpVCCGGAoCJ0LEcqqY8XdW2GlIIQggFxxnFXkDaQhN2/J2fAHGQBk4wFW3dv9hxv5IBxtQ11q9euajjRiNJI1gOXHGxbJ2xER5zq/ZIl9CHRMt2PVOkHaSWKsEJEYgsUldv3bXnpzedCkpl146xJ119X3L6IK0bl+11n9doWBIFOYja05shoZE/RtHYQEobh5i1bHn30sddfe624uFhr1uqqqmeeeaZr165DhgxZsGCBAnXVoKuqq6vXrVt3QceOF/frt2bNmq3vbr377n/bvm3b/Hnzxo0f73revPnzLGqNvfbaQwcOzJkzZ9BVV7mO+/IrL0spL+3ff+vWrfPmzyspLbEs69VXX61oWzFgwICNb29cv379qNGj21ZUPPTgQ1/60pdGjhy1aOHCzZs39+7Tp6rq9Pz580eNGlVSXPzWW28dOXL4wp496+rq5syZM3Xq1O5f6v7KK6/k5uZeccUV27dtn79gfiwe69ql67p16/zA7/GlHqerqjZs2DB48OA25W22bN7kOk6vi3rtP7B/27vb2rZtSwiprqm1XTeTydTX1x87erSuti4Wj6caU5lshlIqpQp8XwjBGEun00EQ2PqkXimCSSKRKC4piXmxIAjzcnMTiQRCqLCo8MILLywvL4/H4iUlpSUlJbZllZWV9erVy7Ed13EHDBhQWlKak5PTo0ePZCJRUV7ueu7IkaMqKystSi+5+JLKysr8vHyE0FVXXdW5S5dYPN6zR882ZW3i8XgsFpt146xu3brZtnPDDTdIKQsLCgcMGNCla5dOHTsJIRKJRENDYyad7tCh8sKLLozFYrpeLcoPNj2WjBj9vOcYTh0LpOJcZurrFyxY+NBDDx05cmTM2DHTps+orKzUKdtc8DBkruM0GVWYA7VzilRSHz8pJHXNZjweY2H41oa3Hnv8sd27dvfr12/48OG6e6FePLRfbFMiFKV6lvzClgafs70fFoAB4RAryZh8b8/+48eOlZe1m3XjTYf2HVq2dLXimAgapoWLYyqgoS+pQhY4QgihJEJIgeJKWcTBIWKhUAgIoagpy5OAUlxwDECRFfhcCimpQBgQwSwbZtLZl157obyibNy4SR3bdnkL3na4i7PEFTGWYqjwfXs2rUR1iPQjYpZNlU4Kmi1OFcIKUQFUBsI/cHzv68vnpkTtTTNvnn7jtJzKciUaCFAcNjVr1YEWy7Ky2awZG619HyWEHgx6/4AQYoxt2bLlsUcfW7p0ab+L+1VWVm7fvsPPZsMgWLduXSKR4Jzv27c3DFmf3n0ymcyJE8fz8/OllHX1dcePHVdKBWFw9PixhsaGWDyuNzxSCMYYIUS3IUjEE7FYLAwDx3WLCos810MIJZPJmBezqJWfn9+mTZtkIuG4zuWXX15eXu772a5du1JKY56Xn5ff7+J+5eXllm136dqlqKjIcZycnJzBgweXlJQghKZPn65A5SRz+vbt63nehT0vLC0tHT58uBCiffv2BQUFN866UZfZzb755ngs7rhuv34XV7av7NSpk+t5s2fPtiwrNy9v4KBB3bp3q6ioQAh9/a47XceNx2NjxowBgILCwtLSsvLycu1iO2TIkD59+1DLumLAgG7duxUVFSulpk2fTilN5uR069b1qquu0lf7tttvty1LSDFs2LCRV4/UBYuzZ83Wk3/bdm21RxXn4jvf+Q7jnAs+ZOhQnYybm5fXrWs3AAgZu+TSS5r8mBCeNn0aRpixcOSoUZ7rKqUKi4oYC0+eOLlmzZrNmzfbtn355ZdXVFRUVlbqtovZbFZ3dmgujjRh0b8jTsQY09fL8GH72payIwpLZD0bAHCjn0k1LFi46N7f//7o0aPXXjt26rTpnTt3ppTYtpPNZoUQeqAb4XKW75pOqNJJ/TqrSe8HtMudzmQXUjqOs2H9+j89+Kft727redGF464d16ZNm6hDTJR7Hv0kDEOtUy3LQgDPP//cli1bvv3tb1933XVGnn62nzgdUtL/pyKwQGQdAgAN9dmnn3p65Yo1t86+bcQl1+w8sP2yoYNuHfX1b8z+rl+LZJYgZlGJgete3hgUYIx0la6WAo5ta48bJZWQuhgIEAIsQARC2Vh5isSowjIMssePHiEIv7TxmaKC4kH9h7369gtzXnlpVK9rRvQbkZDJoMFnpQQ3V9BrMapT+s4wgf/ApkhghHRBvVQgERaEKrAkU9n9J/e+tvylQ/UHbr/59tlfnpVXkRQOVoAxcLtRacf4lpNSK2/W+gUctO8vri2SerVlvc4d3LJly4MPPrhy1apLLrn0+uuvj8ViJ06c6NGjh+d5q1atateuXecuXXZs3y6E6Ny5s2VZdfV18Vi8oLDw2NGjIQvbtm3HOT9y5EhBfn4imaw6fVpKWVRc7GezNbU1BfkFuXl5uhqdEiqkYIzHYjHOWFRyrg2P9EulhOoydillVJWvrUaVUtrvkzFOKbGopX2U9ERqWbauUtdOUjolVFuWag9OAOBcaKsmnZRPKOWcKaUiT4DoWmmnC53PoIvlo/BN5PEUFQiGjEVPq9tQNR1bAbIdp6GhwXUcPXuHjOleAPpwklCqPZ6iFYFgopNuMcJcCG3YpA2ntBWrVNKybCVl1vd1kZaQUptYLVm8+PHHH6+qqho8eHC/fv183y8oLCwsKHAcRwihm7tSSrWz/Xn3IUUACDUlOv/sZz/bsmXL/PnzL7300s9vmTOR0Y+fYlp+EVVVWwELwQ387Btvvvnb3/7m2NFjEydNnDFjRseOHfWtCsOAEEyIruQ1GuXsRkClUkgSSkEKIQTBFiZE8qbjEu0Spye+bdu23f/A/Zve3jho0KChw4bpmCgAUEp1OyJHuz41J3tFTWXURzQyN3wWnzvdk0aLLUkJWJJlVWN9qr6xnhBSXFQYj8UBaYdOpARKZ7gNSQpYCpAMMMVAm+rUpb5TBCkAQi0OCghCWCHAIJUChBFSSgklCYZAcgwUISUl7D+4f+6iZ8cNmXTHqG+iGCJJgjDO+pl0Oq0Q8gMfECD4oASBj5KhTW8Q6XbkCkAJkIAlWIpJf8/xXQtWvnqk4cDsqbO+9k9ftUss30kjsBRIBIhSp6XK0Rgl2jomnDMrpqOewFonEUK0B+f+/fsfeuihxYsXXzV48E0339K+ffu8vLwg8MOQObY9adIkPTtd2v/S6Kly83L1F23btdVf2LbVtWuXM34Yi3kFhQVNJwkEA4BWe5ZFtTe+lmUKVMuDHf0YvVRBlAevmoZZs+6kAMAFp5REv84508+pn6G51r7JMF8/xrKofphlUQVKf619AM4Yxlxw/QIwpi1fJLRw447MuVs+7Rn/FAS+49i6eL/lAwhB0QtoqvdSUr/96Fv9hX5tFqVKKW2qpa+e6ziZbNZ1HIvS+rq6lStXPv300ydPnhwyZMiQoUOOHDnyzDPPDB0ydPjw4c2eVjiKhZsPiBGjnxlaoFiWRQjRfeclAxXWLFu69H/+538OHz48c/qMGTfMrKhoK6UixAy+c69mwjAMw5AQ0tTsijP986zfZCxq2fbu93b/8r9+sW79+hHDRwweMqSyslJbIkNzo/YmR0BTI3LWI0xRbq7eBjg8ZJwcP3b8jcVvlrcpv3H2bAxUhVgG0W8CSAAJIEAJAAmKIHA+JDCpJOOBlMqijmUTAOBSAQIFKgy5E7czKkOpE4Zy4463Np18+4JDHduUt8lx8pCFEcFACHEJiVOMKFjq01gIKomQDHjWsmgs5ggI0mHj/hO7Fq15/VD9vllTZn3zW/+c9JIpqKXc5jREQDEkAUIzQlon0ZYgioa2yCwHy7IAwLbtXbt2/eIXv1i2bNmIESNm3TirsrIy5nlSSgQIY9xUWEmIqYw897sLpW8K0kWr2azvOE5BQWFjY0M6k1m1atUDf3ognUqPvmb0ZZddFo/FY16svE0bncdFKfVisTAIMpmMUsp1XZM5asToP0rT3rHZyifqv5zOZGzHWb5s+Y9//KMjh49MnzF96vRpbdu2sygltGkbajiHuK6rT6b0MX3IAyml49gEE2Qjy7KlEFu2bPnhD36wZ++egQMHTpw0saS4BAB09EI7VGthZCaRs6lEzzju1FElxliGWplssG3b9ldefqWyQ2Xnzp0qel6Iq0hzGyZdBoTeF6YKAIH6kG2hQ3GcxLiEMFRMN0xUwqbUjlPkEmVB0nXWvrtFQDDluuldO3bvfkH3RG5CUokcgi1iubZT4NEcCyHFkPgUs2gskUil6whFighfMknCg6f3LFjz6oHqvTMnTf/GN79RGE9mcnzs5ISimgBFAATqATwzSFrtSqFVi14mokN5XSip2x2dPHny5z//+bJly8aOHXvbbbd1695dKmAsZD4nBFNKhJAKFCEUhHHqONe7C4QxIYyFmWw2J5nMyckJw4BzFgTBm2+88fDDD9fW1A4dOvTKK68sLS0Lg6CiouLLX75DSllcXHzkyBHGmOM48XhcjwoTzjBi9LPYITWfv3DOdWPZmpqawsLC5StWfuMb3zhx/Pi3vv3tG2+8MRaPM8YoIUaJtgbS6XQymQQApQBjZNuWjj1oOz2M+I6dO3/x//7f22+9NXzE8G9+859TjY0NDQ26OsR1XUII59z4cZz9FV3L0Jb+fJRS27Yba+pOVZ++csCV3b7UlVq0uLIYBSlp5WLRLEERAFIItZj0BaAP+Sw2psLchE0QUqFQEjmUEEKVAsZkAAEoCIKGX9//X7tT7z79kzl9LuxjYUdhqYhUWArgEjFBhXQkMCUkx/wTz6JhkLZsYrmUgy8p23vkvZeXvni4Zv9NM2b9+Hs/ZgQactKCZxG4HqEKlAIOYIbieTOMrebmlnouisfj1dXV3/nOd5YvXz5x4sTbbrutS5cuQgguRBgyAKDEIZQCMKWU4NyYAJ5zGOeKMddxrBwblArDwKJWdXX1mtWr/+e//zsIw0nXTbriiisS8UQ6lSKEnDx58vV5r/fp3cd1Xdu2LcvSBiwt99gGI0b/0ZlFZx8rpTKZTCwWy8nJWbp06Zfv+Mqpkydvv+PLU6ZMycnNJQTbtiOFCBkzXSJbw10LAl+frViWI4UQUuheHY5tb9q06b//+7/f3fbumLFjZ82alc1kpJQ6N1RvPIIg0OXzuljEBEfPDlHXwSieBACZTMa27f/ve99bs3bN977//bHjRzuuzajglNjgQ+AirAAUEAAMCgPCgAgoCUgCBB8S9uAo26AUKKWQbWFbIRmCH3BlCZpD0iwdy8v/1p3fOXjwQNuiCs9y0o1px3MIxWHIBOOMhxk/zWRg27bFqOCfYovLBAgLISdmb33v3TlLn61Kn7zt5lvv+tZdqRIBAAhcbLkIakPANiA74zUJbkOrRJ+eadsNXVSg5w3OeTweT6VS3/rWt5YtW3bDDTdMmTKlffv2jDHOheXYjmPrcjdQimDCBW9qRGkSDc+tMCJEKpn1fc/zdHVXLJZYs2bNz3/+80w2e+21Yy+77LK83DwdrpJS1tTWrF+/vqy0TO89bMcJfF+fs5n2KEaMfmayRm9xdEfdbDa7cuXKO+644/Tpqm99+9szZsxIJJPa4VYrnqjY0HAOicfjgnNKqeM4UohUOu04jvY62bBhw0MPP/Tee+/16d3n5ptv1oUFiUQiWkj0wYplWbpvCufcxEfP2metWatJKXWJDzQ2NhYVFd1++5f7X3rZRRddFHNdhrjwpcIBl0opq/mYXiEiMFaKKEAf0x8+N25lAoURsghmQqYzghAU96jAav32jQ89f99FXXtPnTTzwnYX5pJ4WOO74GIAoZRtWRZQiiyPuBRZSug6iU88izquLRFn0t+w6a15a14JSebWm2658eaZVi7KpE47iZwQGmNgAWBcgyzlOZIKqoTLzSBpnbRMLtdFBXo3a9t2bW3t7Nmzt2zZMnXq1AkTJnTv3h0AGGOu63IpLGoBAONMKaCEEEzAlLy0AizbVkpls/UIoXg8HgT+C88/d+8f7q1vqJ85Y2a/i/tpX9LmRlOyQ4cOP/7Rj+OJeGlZ6elTp/X01dKPxQRHjRj9R0M1AKD1ijZoWLx48fe///2Ghoav33nn+HHjikuKtROE7/vaCULbRphLd24JgkDXywMA4xwh5DiO4HzN6jVPPPnE1ne29u/ff/yE8Z7naRvRTCYTWVJHkTm9ohjrnLOG1qA6kEAIYYwdP378nnvuycvLu/mGmyaMG49sFDJpJyULMUhEsSUI0S3dEVYIKyAKYQAMiAAQQORvLwCBUqHyHcvFFpKBwBZyXSwVT2X8sNEPGv2iREFprIBnFQ4RbxCUUIGlYtJ2LVdaDri2tAnDMhAykJ9icIQioBZ+d/c7C9a8LiibNf2GqbOm5LTNzZK0Q2IM0hQsluXUI3FIZDNpQK6jPCNGW/k+KmqNAc0uTkePHr377rvXr19/ww033HDDDR07dtRNOF3XlVIqBUIIBUoICQASI4IJJVRKaU7qz/UK4isF8VgMY1xbW7t82bJf//rXJ0+dnD1rdt9+/UqKSzjnvu8jhCiluj9fXX0dY4xVNDlSR5uTqAGsuapGjH4Ga6Qusl66dOkvfvGLU6dO3XjjjbNnz87JzSWY6NnE1ue5Spo9bWvZ2lq2UqEUAgBinheGwbq1655++ult727r3af32LFj8/PydWKijsDBB91kIz9RbRpnrufZWdGjWIKe5QsKCnzfdxzHonZBskAgBoAEMIwwIpbgRCEfMAAo0BoUKYUVYAQSEFHK+tt/iBCEFSY2CAxgo5iDwzCz4Z13aqpqevfoc+f0f25fUUkY8dPZIFRx5PCUQBbCBMkUDwMW+Jl0bSpMBVRQB+incGkmBG3Z8fa8Da8IxKdOmD5p4sT8vArh+jaPSQuFKmOjQkoRTdtY4hiOKwbCMoOwtYctogmEc44QOnDgwE9/+tPFixdPmzZt5syZFRUVAKBlin4kxUQphQDp8zSlOy+YxtGtYtFvyheqq69f/Oab9933x9q62htuuKH/Zf1zc3KDIGg6dpNSa83Dhw8/9+yzAwcN6tChg64t0d5e+sANTLTbiNG/k2zoUSsNAvGkY6U4S1CSYZgAc2wAsLJhprFx6fLlv77nniNHj06fPn32zTeXlZUJKbXHtVIqSucyY+5sLgAIIUooAISMKaUc25ZSciFs21ZSIvS+mdz6deuffuqp3bt39e3bd+jQoW3btk2n0zoIxzlvDlR8wLA6io+aS/3ZoqdpnVTX8nwzsj+UUh4/fvypp56aNm3abbfdlpubm1uSH9go6XvAMA9ti4hMXhZLKj0ACwAUBIDSWAVYBUhJUAQQ0RaggJpdn5RUSJfZI7CxjRWSUloW5kQcazyx+sCSY8eOdm7brWv7HvlFyUCCIETFiOIkUJLYBMUAuSAIAMXUsTBGiEmQCFPe9PlXWHecVwophQABxkAIVqCEDJXihBKMgSuxrW7d/C1zZSKcMWXqxAnjystLwMlYAZaScCo95CHwbE4UUgRRsEE43AZlui2d8wlHG/dEwzXaOAmEQGAAImUoBEcEHThw8Oc///mSZctm3nDDmDFjO3TsiAGFjFnUIpalpBBSog9OOE31LkaJns0NMCAuhEWpPtKkhDLOdJ8UAKiuqVm2dOkjjzxy6tTpCePHXzXoqlgspu84xlgHKbQjdX5e/sX9Li4rK4sEgO6Uhpox64gRox8PxwjjNEJYESmqaq14nKaygBEAAQAVkExj4+LFi++99w/Hjx2fMmXKrJtuatOmXIHSbV2ghTmwUaJnefMqBOdYaMkY1Y0hBFIIPwgwxp7nMRauXrX6mT//effu3d27dR88eHDHjh2FEJxz27Y/bJqILItN9dJnvwA0l8yfkU2lTzkJIb7vHzx4cM6cOX369Bk0aJDjOMymoUWFT4gCwmwkZa7I1jsZDrlNVeYcIATgSHGkFADRZk8tlKgAkEgv9KFksbgllFJIZsNsTU1Vhvl9Lux7QZvOMSfm2q5O2VAW5YqAAnAtYQGyADsAFBNq2Z5DCFFKgFSACAKlVNOTK4mUQtDU5wYDQlyEtmMBIKGYRHLH7q3zdr7IY/7kyZMnXX9tRUUxAAcAYNLC2M4SaLYURQiFsSYJapRoayDK2NFWGy0nfIW5RDbClgzDPTt3/e53v1uyePGo0aMnT5laUVFh246SkksplEKR3Q8683NhrvC5m5SAMa6UooQKJJRSDQ2Ny5cte/TRR6uqqiZdN+nKK6/UjqFCCNu29WQVtUMrKyvr269ffkG+bdvaqdp13Wj5MErUiNG/e4pBCjASgQJEACPJESFEMmXJMFXf8ObiN//0wJ/27tlz7bhxN998S2VlpSlRag3omtMowKaUCsIQAPSZF6XUolRJuWrlqr/85S87du7s0aPH8OHD27dvTwjJZrORrXq0xzWctRU9CilFMadojT916tThw4fz8/OnTp1aUVGh9wzcop90oW6KiQIoBUoBQgBYaSMox8YB97FlU4K3bNm4aufSzh27Duo3NHZBzMnGsEVDDoCAYCxChSSyKFa46QxEZ+NwzoWUGBRCBAApBaCwUk2hLt10nmIMGELuIyIRIYggxsWuvdteX/dyxknNuHHqdddd17ZtW10iGUVQzPBozZsoaO4M3HIfJYRQBCOEEfeFUO/t3vXHP/5x+fLlw4YPv/mWWzp16kQJUVLqMa/7+hCMdadNc1XPsQCyLKlkJpv1XJdSEEJSApTQkydPrly58tlnnz1+/PiIESOGDxsej8e1358Wo/puakmqlDp16tTSpUv7XdzPcz3XdXWnRu3Do/Wo+Wh//LpgLgFzLIUpy/oAQApzuB9gApIpKUV9Te0bbyx68E8P7tu/f/z48dOmTWtf2V6BsizbXLfWgG1Zjm03tblTTdm9GGMpleM4CKHVq1c/+ugj27dt69279/Dhw9u1a4cx9nUTJteNrKpN+PNsEinRaILWUzzGuKamZt68ec8991xOTs4dd9zRo0cPx3EAgLJPXLuDFCAJSoCUoBQoAIQAUUAUFBZAVMpvDHgglcykM9kgYyPHs+OUEiakH0ipgBAESB/uA8FIH8tKKZUUXHClJADCmEiJQGJQoBSAQiBB2+5jgjBSCklqkxAyvsrsObrztdVza8PqmTfMmDJlStu2bVvG28xZ3nlB1AMl0qNKKcG4UlIItX37uw899ODixYuvvPLKL99xR/du3VzXFVJmfV9IQTA2xn+tay4SInIwsKiFMQ7C8PTp05ESHT58+IirR+g8rqh8PgxD3dFAi06EUH1D/Ynjx6urqjnntuPo7K8zttyGj9kYmEvgZoKQcykEzkvihnTIOLGolMLPZpYuW/qnB/60d+/ea8Zcc9PNN3fo0CEMWczzfN/XAshwDuFcNC8PkhBMMMEYIUBccIRAcL5u3bpHH3t0z569F1100dVXX92mTRvf96PjFUppGIa6fNvkhp5NooBBS1Wqje7T6XRjY2MYhkKIqIliGIZIELA+4V+RoAVilEujjUgBVCBkQZ63eNniTOBf1LXXrNLbLMtKOknMMGMgiUIYtGaQGCmQXAKSSqqmEiuMCaUUI6yUFIIjZOmYKFLQMtQlJVeE2za2XBTycN/R915dMfdE5shNk2++6YYbC9vkRxa2ZsU6j9DDUlc36nkDYywCJrnYt/e9Jx5/fNGiN6644opp06Z179ZNKcVYqHe8URs/ANFUaWA41wRhiDFOJBJKSm1EXVtTt3z58hdffPHYsWNDhw4ZPGRIUWFREAR6E6IzuzKZDADo3uB6f1JeXn7t+HGFBYU5OTmB7zPGojZ+5kYbMfp373QRkhKcWAyyYTZkXjIuJAn8uuXLlt1/3/379u4dNWrUtOkzKisrlVKe65ooWiuBEO2+JADAsW2llBDSopQx7tj2li1b7r//vu3bd1x++eWjRo0qLS0VQuhwqRagQgjdvF5PKGcUMBk+P/QSrncFOsCgS4/379/fpk2bW2+99fTp0+3atWOMRd4onHzyvZ8CEDpACggBJgowkkgqULZt+0Kt2772wMEDhXlFA3oNwggUl4HPEVDHIsgCoUAIhQABQoIrXeJMMEYIa/8dhLECfRinj+mRkk2JAYAUgAIkAUtFZKD4gRP75q2Yeyx1cNbUG77ytdtz8+3orUFzYN44iLX+TVRUwMQYa1aWIKUkFnlv93sPPvTQwoWLLr744ltuuaVHjy+FjFFKlFK2ZenNRtPeA5AufjVR0nMfinKcVDptWxYXXEqZyWTeeuutF1544eDBg4MHD75q8ODcnNxsNus4DsbYsizGGADoDim6pl77jEbWyPqQRzdMYYz9dW6x4UPXBXMJKIDl2ZJzwaUTizPHkkF6zerVv/ivX2zfsf2aMdfcdMvN3bt3Y4xb1GKch4zZlmWu27m/cYRSQjHGlkUBoazvMxY4rkcp2bp1629/+5tdu3ZfeGHPa8aMqaio0BXcOqqh9aiOj+pZRh+pmEt69naAzfM1pVTb9K5YseK+++5bunRpIpHo2LGj7qmo8ygIIcL65GJUakGosJIEAWCkCEgsObB39r5z+NTxIb1HTr96dsc2nSVXSCgqpeKsWV5AyBTjCgAoRpRgixKCkV5pGA+DMBBSIIQppUqi5tP5JtGCQGGsKAXHJQyC7fu2zHnjL0cbDtw669av/8td8VLP51n9VFF9gxmB54se1TfL87zoKBYADu4/cM8997w89+X+/fvPnj37oosu8mIJAKDU0tsMTIhUknHOm6KkYOyozzkIELVsQkjIGCWUMbZk8eLHH3/8yJEjgwYNGjpsaDwWb3JLEMKyLH27dWNwPXdxzoMgAIBDBw89+sijGzdtbGhs8GIxfZSve+WY9Ju/X4kZgDkWOBbJMOb7OPTXr1v/wx/+4NChQ9OmTZs+Y0a7du0xwslEvL6h0XFsjLHu2Gau27klZCw639R+oq7rCcG3vbvtV7/61Vtvv3XVVVdNmjSppLhEn7CEYRiGoZ4a9JGZzkfUETizeT2r8w6lOs6EEDp48KBt25deemlZWVmbNm2CILAsK4o3RPWqn3ylAb0IIISAACKgsJJKCST/84GfXDNw7NjBEwpzigigbDoTMJXjxZKOlcooJpRioLBECHSBPMKAkNIDBOnsZCGVUghhjIiSGACa1ChSCBQiClEhsQh5cPDknjfXzD+VOTp75s13/fO/QqnIZhpicU9mhI6j6ICKDrR4nmfGRuvVLgjp0RiGod7W6mD2oUOH/veee5YuWTJo4MDbv/zlXr16ccZqaqo9zxWcKwVCCpBNToB6ntF5iqaA6RxvLUA1NNTHPI9QWltbq5XooUOHrr766tHXjM7NydUZorpkTSlVXVNdWlKqBSghRBcq+b5PCCkvL+/bt295eXkykRScZzIZbUQaJYOZ9cWI0TP3tX89JpRS2lWUM2bbdO2atV/9yldOnT49c+aMG2fNat++0qIUY9zQmIp5Xsuq7TOe88OeHCGEmnxe0N/8FQSopbfcxwqjv185/Z2PbDoxRFhnMv312/l73uPf88gP++sf4fP8Ec+DMbKopZQSUkglHdtGCG18++3f3/v7NWvWDBo0cNq0aTEvpg/UouNgHZbTkVF9Uq+U8jxPnxqbGeHsxJZAH24Skk6nH3zwQYzx9OnTr7nmmmiBj07w9deUcWHRj9GeCmRT5iZS7wsI/R9CWEkl036KUhqPxbUTNeeCC3CtGCYo8IUSwrZsjkBisCyCFKgQuFQgQIFEFliU2pYdc2I5OTmO7fBsEIQBEAoIAGmZCggroAIsCUTsP7rn1eUvHk0dmj1j9l3fvhNKMwCOHcuRACDq9cGfvhpRkJgQk4zeGpcJaOFs73meHsYY48OHD//85z9/4403hw0ffsdX7ujWtVs6naaUJOLxpowgrE0cECUYmk/2Da3kLju2DQCpVGrlihUP/OmBE8dPjB07ZvCQIZ7rSSm1TxMhhHPOGCsrLWOM6Z8LIWprax3H0U3Cc3Nzp06dqluopNPpWCxmO06qsTGTybiua1mWMWz5WL5Y4T2dhtzkLay024b0Yw4nrpCE2nTnjp2zZ8/WMdFbbrm1U8dOACCkwITEY7F0JgOg4sncbDbLubBtR0qVzfoEE8uyfT9gjFuWLaWeeihGOJPJAkA8kQxDxhgnmDDGgyBEgDDCvh+EIbNs27LsMGQYYUpoGDIhpGXZBBP9NSVUSsW5oNRCgDKZLOei5b8qpRjjCJD+YfTafD+g1KKEMsb1q2KMM8YxwgAQhgwB0q/c9wPdjTcIQowwRjgIQv0XAcD3A6UUpVb0FzkXnAuMsJQqDJmUimDCuQhDRglFgPTzUEKDINRvR0/f+n0xxoWQlFqci2zWd72Yfh79K4zx6M36fqBfrRYV+vXruymEjHacGGGM8d59e3/yk58sXbL0mmuumTptelFhUTT1M8Z0WxT9K1qY6qCUPn8xi8Rnzl+n4eqsLJ0XgTHWESbGmI5YR96u8MGaHozxxyhRQLZthzzIZNIIJCEgBUgJGCNMQEgW8sD3/QNH9vzmj/8lRHDffzxx05Sv5ucWY0wJooJDyBQCjIkl9OE+0uYMoBRghAhGNiUYgVRKSB7KMAiDIAwIIYRQhZRlW7ZjIaI4CiVh2FZAxc6DW+e8+ZcjdQdumjr7W9/6V1xKQkgBAIMaBVnP83SycvROI68xw7lFb1BbDtpofohKUtLpNEIoCIK777771VdfnXjdpFtuvbVdu/aYEMuiSgEmBBMSMqa32QqUVFIqqWvq9NfmUp8dSHOnKwRICBktcJRQIaUfBEuXLv3Nb39z+PDh0aNHDxs+vCC/QE9Eumpefzwty9IDQwtTAMjNzdVqFSF09OjR3//+9xs2bNBrCuc8k047jhOPx3VpprkLJjL6PplMRvfvivpfNyVz1BPbzkrON2/eMmnSpLq6uru+8Y1p06aVtWkjlbQtK2SsoaGBUhqPxTJZP5VOlZSUBn6WhaHrurZlZX3fsmhBQSFjYTabtShFCGV9H2NcVFScyaROnDiel5eng0Ke52GMwzBgjOfn5RJKq6trMMbJZNL3s34QxONxJWU6naaUJpNJzljW9z3Ps20nlWoEgMLCojDwgzDMycnlnAVBYFuW63phEDDO4/E4AKTTac914/FEKtVICcnJyQ38bMiY/utB4AOAfvJMJpNMJgEgm81SQpLJJGOhUiqRSIBSYRhSQnJzc33fD4IgLy8/DPxUOp1IJJrdOiGRSAjOGeeu6xJCMpkMJaSwsCibSWd9P5lMNuV6E4IJCYJASqnrwFKplOs6iURhbW2N6zo5Obn6fcViMYyxfvJkMpnJZGKeF4RhGIYFBYUAUFdXa1mW7rekVWkqmz5x4vgv/+u/Dh06dMUVV4wcObKivFzPArr+UQdHzQf+rO50my+4bo5HKcUYx2IxPbNXVVXdd999EydO/NGPfhSlTHzqKEcmk7EtJ5abxBwHHCiFuAXpdKMUsqQoN5D80KnarXs2zT889+LV/a8eOsYhDvz/7H1neF3VlfYup9xzi656t2XJRZIly3LDvfdOs3HFNpAEQkISMjNkEr4hk0yYyQQIAYaQEDoBg+m4YtNswL3IHffe1W85be/9/VjS5uIACY6xJXzWk/i5XOkWnbP32u9611rvEk11pf+IMS4IIZZjmpZtmVY8FqOEWpalY4Mzm6p6Y2NdMBTya4rN4i62Pj20bdFHb9Q5526aefN3vnezT8eNlqnpQQfVKMiHkQGy9p61QJOzMIDNkhODgb+A1G0gEIhEInPnzl21atW11147acLEdu3aBWA8D8JCcMexveiihZgDAzkJhsrduGn6dD05OSUajQSDoWXLlvzXr3/dGGm84YYbevXq5dN9ckTcF75bODnZtixCCETRhmFwzs+cOXPmzOmzZ8/AMxjjeDwO2XyZ6vFuhAdGmwzqsRKplyZpFVFnxsSuHdtnzJhRW1v73Vu/V1ZWdujwoaSkJEzI4UOHfIavoKDdubNnjx8/3qFDh2AotHTp4oz0jA4dO27dujUWi3Xq1Mk0zSNHjiSnpOTl5R04caK2pqZzWRlz3ffee6+4U6f8Nm3WrllDKS1q376+ru7kyZOZWZlpaem7du6Mx+MVXbuePXNm9epPyjqXJYXDa9es8QcChYWFhw4drKmuycvLU1V1a1WVpmklpaUHDx48sH//sOHDY9HohvXr0zPSs7Ky9xw7Fo1E2rZtizHeu3dvSmpqYWHhpk2bautqe/fuc/bMmf379xcUFIRCod27dnHO27ZtG4vFDhw8kJubm5eX/9GqVQihnr167dm75+TJkyXFJbqu79+/X9f1Nm3b1tRUnzh+Av7wjz5alZqS2rFTp6otWxobGzt16mRZ1tGjR5NTUnJycvbt21dXW9upUyeM8fIVKzp27JCdnfPJxx9TSouKiurq604cP5GTm5OdnbNtz55YLFZWXn72zNldu3d17NAxMyvrvXdXhEKhwqKiI0cOnzt7Ljs7OxQKHT16FCFUUVFx5vTpT/d82qNHTyHEzh07srKzMjOzjh07FmlszM/PP3HixAMPPLB9x/Ye3bt/73u3BoNBhDF0O2qaJgsQvQ1/ySzR+Up2AXYcVPd/+umnS5YsMQxj6tSp+fn5cprzBXwWkKqCM4dxO8ZthjQfjTo2VVVd1c41xo6dPlHXWNev66A/ZP2pa8duGtZgLFPT/wRCGAmM0fkzcc7Ho7qq+3TN5zOCgRCB7iVHBMNJ9Q01uk9xkckFF5q7a//WxZ+82WDX3nDdtNlzZ6akpZiKohMtzhpVqiPkJexatGGMTdMEvwHPyEYlTdOAFlVV9cYbb9y6deu0adOmTp1aXFyiahpjzGVNg8g5F4QgaNP2LunlNRVqsm0bSiwooYwzIbjrukuXLv6vX/9XfUP95EmTu3frnpqSqmma4zhQJ/qF72bG45C7J4SA/qhlWZWVlcUlxZqmpWeknzh+Qtd1qMCB6MUrGP2HCOz/+I//uEIOaYwxsOWQJYQAF2Ns2876devuuOOOEydPJqem3Pubezds2PDX5/9a0K6grrbuueeeO3Bgf1ZW1oYNG5588smMjIxQMHjHD++wHbtLeZf5L81/791327dvf/zE8eeee7auri6/Tf6ypcvefvvtkuLihoaGn911V2paamlp5/vuu2/Hjh3t2rXbtm3bK6++ghBKSUl++aWXVn74wYABA7Zu3Xrf735XWFgYDATuv/++48eOlRSXfPDBB2+8/nowGFQU5YUXXti6detVvXp9uPLDB+67f+iwobW1tQ8//LBlWtk52UuXLH33vXczszIjkcjjjz9eU1NT0aXL888/98orr4waOWrHzh1//OMfU1JSfIbx6quvbN26NT8//+DBg395/C+qqhYVFt13/31btmwZMWLEooWL5r84v7Co0DTNF1544cjRI/n5+WvXrp3/4vyCdgU+3Xf33XdHo9FevXo98+wz7737bnFxyeEjR1548YV4LJaVlbls6bIlSxaXlZXX1NT84uc/z8vLy8/Le/DBB/fu3VvUvv2G9RteffUVVdMCgcBfn39+/fr1PXv2XLNmzX2/u6+ia4Wmqr/9n/9pjEQK2hW8s+ydZe8sS01NtW37ySef3LFjR9euXV977bU///nP/QcMOHrkyB//+EdFUQrbtXv91VeXvrPs5MmTy1cs/+TjT5KTkydPnpyRkSGEgJlsuq5LaWK5DC7aikJo165dp0+f7tu3b2lpKfLGbPzNjoNTXCYi4Pna2trNmzcXFxeXl5f36dMnMzMTSNOvkNt0VIoQ8sUIaeooEsgwLYKwo5w7Vf3sX56vbN+zR3FfVRhEEKoQRcWEIk2niPJ129c/8vLvN59eO6R8RIc2HXxKQHCEGEIM4SYhUoybUShGCBGEFIQIAuoUM4Rh5Cflih9vPrRm196dJW1L2+W2UwTlDuMUY8J9fs3FcaGKHQc2L/74zRhrnDlj2pybZqXnZLGAiagp9IBKLIoERpwim7qeIkeLDqVkiTkcGQBMTdNUVbWxsfE73/nOunXrxo4dO3PmzA4dOqia5jLXdhzOBWgeIySaBnB46fjLba7LCMaqqlJCXNdhjBNCGhoa1qxZ/etf/bqxsfHaa68dNnxYUihJSv9+RRrNNM1gMAhz+2R+tb6hYWtVFSEkOZwMYgsAM1qvtBOUwQOSXrly5enTp2fNmpWXl/fNHXNXEBiFZQF5ZCEExLiRSGTNmjX/+Z+/2rtnz6jRoyaMnzBg4EAhRDgcruxWmRxO1jStfYcO7YvaE0LCyeHKbpVJ4TBz3cpule3bd4jH4tk52aUlpbqm+wyjtLS0TX4bLnhycnL37t39fj/j/KpeV6VnZMRjscLCwpKSEk3TDMPo0L5DdnY2Rig3N7e8SxfHtv1+f/ce3cNJYdMyO3Xs1LFTJ+ayUFKotKQ0PT2dEJKfn19cUiK4CAQCffr0UVUVE1xaUpqfly+QyEjPKC0tDYaCCKGS0pKCgnaWaeVk5/Ts1QshrKlqRUVFRkYGxiQvL69jx466z6epaklJSV5+vmWZ7dq1Ky/vYllmOCnctWvXlJQUQkhB24LCwkJVUZPCSeXl5SmpqWbcLC0pLWrf3nXc9IyMss5l/kBA17T2HdoXtC2gCk1NSystKQ2FQo7jVFZW5uTm2rbdtm3bjh06aJoWCAY7duiYlZWFEMrNzS3t3BkjpGla9+7dU9PSTMvs2LFTu4J2mODUlNROnTqlpqaqqlpUVNSxUyeF0vT09Kt69QqHw1ShBQUFKckpCqXnzp3bsGHDiWPH/X5/LBotaFcA1CzIakBhouM4kGu7uLvIA6NfYXIalnTr4OhN03ziiSf+7//+r2/fvuXl5RkZGdANADNdvy4YZdTfeObcE39+ujS/S5+ygQbxMRe7HJuuS1TsItN0bUIoJiInJbdncR/ucuZwIhSYz8QFhgGhCCOEoQH/i8Eooojo2KH22j0fV+3Y3Ca9oKSwmFuughVHOIJw3VCpD2/du2Hxx29ZIj5t+tSpM6ekFBbwEOKKSxBBNMKQQhFS4ppQuQdGWzIShUULOhsyzQoupbq6+q677lqxYsV111133XXXFRUV6boOI74IIYBEZR6AMa+NusVEF4QIIWLxOHQhr/zww0cefuTYsaPXT5nSr1+/lOQUoEIhCPmKrDocJU2TgTmHl+zbv+/VV14JhZMKCgpghD1IPrVeaadLD0YxMNJXyHIEchQ0wzDGjY2NH3300X333bfvwIHrrr128uSrc3JywsnJjLFYNKrpuqqqsWhUUVWoELJMMzUtjXPeUF9PKU1LSztz5owQIikctm3bMk2fYRiGEYvFIo2Nubm5jLPTp06npacTQiKNjY7jpKal2bbd2NCg+3x+vz8aiTDGksJh13XramtT09J0TauurqaKEg4nRSLReCwWCAY1TWuor+ecp6WnxeNmXW1tdk6ObduRxsZAMKjrekN9PbwP57ymujoYCgUCgZrqasZYTk5OLB6vr6tLSU2llEYaGxHGoVDItu262lp/IBAKBc+dPYcQysrKqq2ri0Yi6RkZqqrU1dZhjENJSaZpxqLR5JQUTVVPnDihqmpqWlpjQ0M8Hk9NSxNCNDY0qJqWlBSKx814LJYUDmuqevz48aRwOCkUOnfuHOc8KRyGqwqXqLGhgXOempoaN8262tq09HRVVc6cPqPrejAUikajtmUFgkFFUWLRKCbE5/O5rmtbls8wOOdmPE4VxTCMlStXvvDXv+7bt69zWedePXvFotHU9LTu3bpDSCpnSYMmC7rYYz8xEq+++mpVVdWdd9557bXXemD0vO0mj3Cp+A1tH2vXrn3xxRf/9V//tX379uCvJZP6ZRcwZmgIoeRzlDIkBMKUo9S6eopcFD62bVfvHoOm9Zv7LzPuoZa/scFWNQ2r2CbRNVWrdn66vWvHyq6dKxoj8fRwhqHqRGDXpVAqypvlmpo+liHsIqEgoSNBEeIIOYjYCHMkVIEMxAPu48t///KbL465auykIZN4o6NyhRuUYRdrfPPeDUvXvI0095prJ1875eqcdtmc2sJQBbJ0RISjiYiTxFIYsjRixg1vpHCLpi0SH8hRYYcPH/7Nb37z/vvvDxw48JZbbikrK2uuL0QCISg0ZJxJhRDXZd6svstuClUs24bpAwihuvr6NatXP//889t3bL968uQ+ffpmZWWBmCjMWHJdFzosv9jtYwxnikzmMMbOnj27bdu2tm3bdq2sbGxogB/Bv610CBOAUdgC//Vf/1VVVbV06dJevXp9c8fcFVQzKqNVQKKxWOzjjz9+6KGHDh48ePXkybNmz27Tpq1CqUBCUaiuawpVOOeapkIvnt/vT0oKUUJtx0lLT2OMu8xNTklRFQUO1EDAjxDiXASDgUDAzwW3bScjM1Oh1HHd5ORkxjkh2OfT/UYWxphxFk4OU0It2zZ8Pi0rC6BSZlaW49iO4waDgaRQiHGGMU5LS+OCC4ECfn8oGHRcV1VV2EIuc+F9hBBc8OycbEqoy1haehr8CYbPF8jNBS+ZnJwMkxh1XcvJyQEtp4zMDIQQFzwpKZSUFCKYYIxTU1OhDzQYCISCQUg25eXluYwJIVJSUsLJYdhj6RnpcKCHgsFgIOAyRghp06YNKC6lp6dzwTkXuqYF/H7GGUIoOTkZIcQ49/n03NxclzHORXZ2thCCcR4MBmlSEnx6UjhJCKRpmmVZfr+BEGKMJ4VCjLG1a9e++cYbR44cqehaMWzosNzc3HPnzlFKISSVgxZVVQW3ArUZXhvTpd904L6PHj26ZMmSWCx22223hcPhNm3aqKoKrcoX3F4mXMoEEkhQRdFUYpmCYBLy4zgTVKG10TNHjh4qLSrNSMsI6KZOCHcRYwIkQQVoqpGmxwgjxL+8ZlQgwZmmEl0luq4H/UGMkKJQN+ZiLBSFbN69cfHHbwrNnTHlhknXjc8oSreJSZHCkUtdzDj3uYQxtdGs85EA08MIxb3l0TJNdlJDagXamIQQ+/bt+9Of/rR06dJx48bNnTu3U6dOMujinCPS1ITAGEcIYSowwp4cdUswKNullBBKGxoaVn/yydNPP3348OGJEyaOGDESmE7JgsfjcYQQuKYvfDfolwf9UYwx9M7rPr1jx44+nw/oD8jjg3oPHEBex8Lf33dXGlUD/iUajb7//vuPPfbY3r17x44dN33GzMJ2hXBqEkwcx4WSZ9asHMQFp5RghBlnMIWSUgLlQQDymrQMmxggoSqq6zLOOaVESnvQpimIcuYKE0JgwEmMaaoKcvpICEj0NKmQYgy5Hkoo5xz0SiXSAt8HwkaAVhWqNGclKMYYBn4QShlnnw1z51wIRCklmDDGQfOCc9H0KYI3jQlBWAghkIDvwDinikIIBu+sKCrngnNBMFyZJqElIYTLXKooGGHXZfCecAUSVWwEEqD1SJtHqBFKIcqUIAa+ElxbhBB8W4hu161b98yzz2zftq2srGzsmLHt27c/e/bswkUL9+3bl3hx5NECUa/X3HrpwWjTvSPENM29e/du27bNMIzu3bsHAgEIuyFrdsHkARZYwVSlKuccC2HoWsw0P16/Zse+nR0LSyaPv6akpLNpWQQTQ/dZlssc3Ny6hJFoEnJCGOYmfbmjxAgWp8uY4zqmbYJYLaGEcXfHnq1LPn7bRc6Uq6dePXlyRm57oSGq+JjOGDIVoWNEEEIGDxJOiYOR11nbek4NWJ+ffvrpX/7yl2XLlo0cOXLu3LkdO3YEVTJYFZxzzgVE2gqlcFiAy/KuYUswSgnBpLq6euWHH7700kvHjx8fOHDg8BHDA4EAaNej5gQ9+ocH8zYR4YxRSs+eObts2dJ9+/bFYzEJSQGqooudkfvWEtjfwjCIYMSFY2iq5ShcyCeFw7CqIEaseOzDD1c++ugf9+zdM378hClTr+/YsYM8OxlnMK88Eo0hhChRgBSEtAvnQqGUI44RVmgC2iNNPRAyFKaUUKorVGHss0wNHM3gs5q4bsnVYaxQ6jbnhlRFEUhIXAXAlBAiBGquiUYSmyYQgahZjbkpTE8cUEQISXjPJhlIeBKeQZ8JO6NEFfrz3gc2oWiGnnB94CWcc0KwEJ99YnOGq/l9UHN2Q2BFUQgGZE8554JzQqmiUAY6OpggwhFCqqIy1yUEN+tT4k0bNz319FOf7tpd1qV8xIgRBQUFoP0Wi0ShPDQR38CfKdtoPImNi35ay/WJvkgw3HGcgwcPHj16NCMjY9KkSZZlyUJSGR9KEcevAp3wf8KxQIg4CCFWnxq04SHCFDmEI5UTjI4frX1nw5K0tJSJg68uL+9JEIpHbRUrlkAYUUoUjgQSqGkhcCQQEhwJjAhHAqYuOQgzxAXC8AxFgmKqU5vbts1cx7acGAkw4hOcsQNndr25akFEr79xyo3XTbk2JzcTqxayNYRQ3BAYEazaGCHkIoyRXw+53KFeNUfL4CakQ5DjMCilLhIKwoRqLncJQgohe/bufeLJJ99/7/2reveeNWtWly4V0WjUtm2leWItbr6jsqOlySsi705fqrgXNdFGBBPGOSUEyB04mjHGtbW1q1ateuWVVw4dOtS/f/8xY8fA8Aton5f1GNBMIqu8vjDAhqUiD0c40RobI3LKNFQDKooip6x5FVxXHBh1CRaMcYaUSBxRGjc0GnMQFwJRjIQbtzl3P1y58pFHHtmzd++Y0aOnTptWUlIMRB2lBGAipcS0LECQzUCtaUgSIRi8TBPfKYQcMZyI3lzmwuJL1PWQ79CMVpt+AZ5xXej0xwI1RdiJL4F8OvymQE0PmlBy808liSu/cBMqRcDdYvjEv3154h4D/vK8jSdfIq8PvCchkN08/+UYN/3h5303edHgUsHF5C7gV2w7Dki0yvBUMME4d4QD6vqO6+i6trVq61+e+MuO7Tu6des2YsSItm3bwm7Pzs6eNHkyaKYmcqJN86X+OfrNs6840aX4YuIVliNqOOebN29esGDB1KlTp06dmgg6oZAX/QNFSPBj2x9HCBlaU4I77CDBELIQQoKo2FUcrNLDx44wF7Vrn++jSTymOlHh96kKUjhHcRdhVXMEEuLzHyea1Ea5QAQJxBFyMSg+gVI2UhAnCGNBsUIxMXxaMGQgv+sSe+/B3Ys3vFJDT86bPW/mjdelpaUIYWOEEUOEkFA8kPg32MGmb24jT+6npSzgxEgVgAXHmo0QVVxuIc753gN7n3r66WXL3unZs+e8eTcVFhVhqqiaBvml85YvFzyR9hYeB37JbiUCXyQUlTDOXcZ0SoGdQRg1NkbWrFnz2muvHT58+Kqrrho+YkRaahrogMrKYPBdiam5LzTIvIOItZxQn5ubO378+NTUVECfQghd14EigRok7+i58phRLgSihDLmCK4ammUyxjhjCuGOGjAb6rZv3/7wQw/t2LVz4vgJ02fO7NChA+eCekzFZY9rMZZCGAB2nWZ07roMUUQIpoTu2LHjiSee2LJpc/eePUaPHp2Tk9Okn8K5aZl1dXUIoZycHC8tcsnuGowkOc/bNh3qnNfW1sLg5oKCAhD6vZgTLwliCDEuKCa6odksfvbMyZdWvDyy59iZA+cIVaU61hTicIEJohQLgRxHYIzJl2x34SBkSpDdHGRihBFSKeImp5iohGAkMBdWJH7k5IFF7711tPbILbfcMnfu3LS0NEmotFI9lytt6cqGaOCuYBgbUlQsmEBcNbR9u3Y/9tgfly17p1evXnPmzOlUXKxrmm2ZjHOFUoQQ1NBDsse7qpc3roCyLmA3Y7FY3DQDgYBlmbFYfM2aNS+88MLBgwcHDBgwctTIlOSUC1Y1hhkuhBBQooUas7gZr6mpgbHSifG5fOwtjysOjCoIxahPQyanAYWZnAse8pE4Z3YM2w0HDh6455579u7dM3HipOkzZhQXF1MIibz49XKbqii6rnPGXOYK0aQyraqqqihQcuq47qd7Pv3tb3+7e/fuioou48eNb9u2rW3bUn/42LFjzz33XN++fYuLi73reckOAISQHLCOEtL0IPX6ySefCCEGDBjQq1cvmLF0YY1K4WparyD0+QZ0iuptGuTCZcimGnKQ+en+7XsbtxXVFLbJKcwKZVCFmBZ3XK5QSjB2XY4Z0zT1y8YuEYIwbf4Zh1JvhAhCBOmKsJGNGMac19fXnDh2+MzJdh98tOL42SNzbp7z3e9+NxwOI4SAJpFEi3cCtWzswqWeKCAMn89n27aCENFU13RPHjn22J/+9M47y/v27XvjjTdWVlZqus+2TNOy4FWMM865olDohfOu6uWNLijFGGHLtoOa5jcM07KY68bj5soPP3z22WePHDkyYMCAocOGJYeTQXEpFovJ5Mw/boA4IdiGLjdVVQ/sP7BgwYKhQ4ekpqVmZ2fHY3HoiIBuaY8WvRLBaNzQlJjJudBU03VdMx7Tg2kIIUrp5s2bb//+948ePTp16tTZN95YUNAOVnDcNHXdk1m53DfONP2GwTkXAkhQVSBBMGGMMc4xRvv27bv//vs2bFjfo0fPGTNnpqakxmIxwzB8Pp9pmoqitGnTZtCgQSWlJd7FvJQnOiStUHOrB4ybp5S6rnvgwIG3337bdd02bdp07doVNfXtuZp2Idst7CLEDNtoynRbVCA/oXGu+Sjn7PjpIxt3re4zqH9ZWXlGUm7Ql8LquF3vUCEwQiolhAjuOBgJP1Iti30xc044ohwjxDlGlCLRVEktiGi0TFUnGLmuayX7A3bMfHXx/JP1R26cNPvnv7hL/mlQJeadPa0Cu0g6H8IGXddhXHM0GtMpqa6uue93v3v//ff79Okza9asyspKhFAsFoWACqhQzoUQQqHQ7eoN1rqcxrngnPv9ft1nQMDgN4z6hoY1a1b/5S9/OX78+NChQ0eNHpWZkRmLxQApQnno1/0goEJd14WKMmDW2xUWjh4zun1R++Rwsm01USTQLe2l6a5QMKpGXKjZYZZtxuJ6drpqObFI5PixYzfNu+nUqVPTp0+7Ydr0osIiLrjrMlVRNM1Tn778RgixHceyLFVVNc2HhHCZ67gulIEfOXLkt//zPx988MHAgQNvuvmm1JRUOQIYqnMcxwknhSdNmoQQgimg3iW9NHdNumM5awQg6enTp/Py8m677TaMcUVFBUj3+Xy+C0OilkA6QvUKMhKPH8owibvCYS77aO3KJR8ueu4PC9q262BGTZvWEaqqlKiKwoVAwsEY66rLGOcMEcK+mJ7VhAggJBARWAhoc8IYC0QQ5q4aUHVD0QxCddzAzp2KHp973byf/eTnrojDsSQHAHqEaKuIo2ABM8Ysy4IaEiC6fElBszHyn7/85ZKlS0aOGDl37tzi4k5u8xQ3XdMSlDqwEMRlrteodNmNEkIJMU3TMIxYPM45V1Rty+bNf/jDH06eODl69OjBQ4aEgiHwQhAzA6D8uh9kmqbP54PgE+Jwx3EyMzL69++vqZqiKNFolFIK2tiWZX2FfLJn32Yw6gQV1XJc03EcB5CoFTXPnTs3bty4M6dPf+c7t8y76ebsnBzHdSkluqYhT6i8ZZjf72euyxjz6ToSojESURQlFEpybGv79u2///0D69atraiouO2220KhEABQRVXramtd101KSmKMbd68+c233uzRvcf48eO963kpD3XbtmHoCELI5/NVV1c/99xzf/3rX+fNmzdr1qxAIACiWnDqg+7JBX0SCjsIMQM1NzAJ1bUxqq+v9ft9/QZdlZ2ef+jEnqPHD7XJbldbXRuvMXVkYIwdxxZcqJpGCXVcmzGmqtqXuUPhQwhhxJEQGElGgyCiEI5sQdxDp/YfOrcf+5zvzbv1J7f9BFG3rq4uOTkZuhkwxhALeSJiLX/dApdPKYWwlnPOGNM0zXHEnLlz16xZM3TI0KlTp1ZUdNF0PRqNQksrJsR1Hdt2dE1TFBUj12XMqxltCYExoTRSV8cYS05OwRgvXPjWww89fPDgwRumTu3Tt18oGATZFrjLlFIY7vp1P8jn80nNJtj1hJDVq1e//PLLQ4YMHjR4cE5Orus40FDvSbhcuWBUtRzGqaIJTAhqNOOW2dDQMGTQoJqamh/ecce1112bmpamKgokaDjngEq9dXDZLR6PS4fuuA4hxG/4GHM3btz4lyf+svqTT67q3efWW28NBAKWZcnssN/vh/uoaVo4HIY5rlI3zrNLYDCzRAgRjUaDwaAQIjU19ZprrqGUdunSBW4Q4DOoGYXepq/7KfrnnblFhUBcRWLvwSO/vPc/G2L1ry971SB+QhQXMQzKCRwhpGCEOHIxIhSpGBGGXAFTPr8Y7koFKQks5Mx6IRAjCLmukxxKGjJi8JwfzhLpDYKxZN6ERC3L0jRN1/V4PE4phb/XsxaLXRBCkG+FBD3n3DAM0zRv/8EPP/n440mTJs+ZO7dTp46W7URjcUVRYNw8ZwwkoqU8mHeCtAgeynVd0/T7DU3THdt6/4P37/vd7w4fPjx9+vShQ4cFAgHI2ziOAxL31TXVWVnZZvxrz56glNbV1RFCAoGAoii2bWOMk8JJ2dnZGRmZMOC+sbERYxwIBFRNM+PxC3N6Hhht5StSV0mcc4YwJoI7n366e87sG+sbGm6cM+e666/Ly8s3fD4hRDQWwxjrmgbqxF7teQs4G7Cqahg7gCP9huG47ob1G556+qm1a9Ze1bvP3HlzdV2PxWKUUphmLiejwD7Py8v76U9/qqmabdseL3XJ6CWoo0AIgYj9fffdZ1nWDTfcMGPGDL/fD8Wj8uy/KE65niIgVxlCiKLs7PRbb/1un5596qobUpPTXZe7DkMIc50LA6uKgpAQCAsuXMcVgus+/ctjFYI4KOIiJLBgn6FWSkl17RmHWUnJoZzcjE6lnbQMhSqMqMKMISgvAUyDEDKaqp+9BqaWa6C/I2VBoZPJNM077rhj2bKlkyZOmn3jjQUFBdAprygKIE7GOCHEp+vwWttxOG8awwFKeZ5dLqOEKLrOBY9EImvWrL7vvvvOnD07ffr0fv3767oOdxnELuDf9LT0aCRyASdFLBZLTU11XTcajULwadt2xw4db77lZl3XdV2PRaOGYaiqGo/H4/G4ruuKoniVo99mMArtAjBLUAq/k7ooplgoPmbGNm3a+NOf3nn8+PF5N82bPXt2Xl4+pU3VxE0tF82zkbx1cMmwC8ZYoQomxLIszrnP50NCWLatNDsFyHm5zF2/bv2TTz25a8fOAQMGDBs2LD09o7GhAXIi8Xhc0zTgoiBjwhirqalZt25dp+JOnUs7e5f6klmi1j0h5MyZM9FoFCEEg2dBAha2myz5T0Slcv9C+kxmtSRxBXDWRbYqNKRYSEEkpsSZs3PHp7v37Bo/Ycw9/3GPrvmSQmHHZSrREUOCC8QxUwVSBaZAcwohoEwQBup8xRLFCCGBkc0dDam4ufHetK0H7vvf3bt3Xj/9uqsGXhUKBLDimgj5EQYKROLOrzXExbNLFizJ+fIgdyCFh2GBKYoSj8dvvfXW99577/rrr584cVKnTp1URYGFynDTuHk5f675XiNKiQdDLylkUVTmupDSVFVNcG47DkJIoZRxZln2po0b//d///fwoUPTpk3r179/OCksO9USg0MpL/p1zTAMx3FkzGnbthDi9OnT69evb9+hfbfKbsCVQDqIc+7B0G8zGJUzuEzThH4IOMkIIVRXHctiVv32HTt+dtddhw8evHHOjTNmzMjJyaWUJGrXe/f+0hvnwnUdC9lwPCgKRUIwxgjBtuNQzoUQgErXr1///PPP79q5q6xL+dChQ4uKijhjjuNomiYHisJMYQlfGiONa9eusSyrvKzcu9SXDImCo29sbJw/f/6AAQPmzp1r23Zubi44egk0EUKJXWVw/EPFntTtS6zfAncPnemUUowJEghjYrE4EqiutnHlypUfffxx1y5de1QUIYSaJhvXU4QQQ2HEEcKI4vqE74q++HGCRQIkqrjIZVRP8bmWUHSBYjgqCKYGV/v1611Y1Laic5dwMKirroOEhrDd5E9IIhJFXiV6i1mfQH01DRwmhFIqybCmUUmcK4py7ty5n//850uXLp00adLVV19TUlqqaZpt2+gzRVKECT4vjebd5UtvjmMzxg3DYK4bjUYVRdE1zWUuF5wxvm7d2vvuu+/M6TPTpk3r2bNXSnLKl92jC240THRNQggoUjpz5sz69ev8AX/HDh39fj9gUBmEe6rD31owKo9AOOoS5YspxhjT9etW/+///u+BA/uvvuba2Tfe2LZtgaaqnHOPBL3Mq41ShVIueLM6sTBdSwjh03U5xJlxvvqTTxYsWLBz587SzqXjx41v06YNpTQej4Oim5zrA5wH6FlSSvPz8ydMmJiVlQXT2LyrfWnCQogMT548+dhjj506derHP/7x/Pnzn3vuudmzZyOEli9fnpWVNWjQoJ07d27evPnaa69t06bN3XffPXjw4HHjxj377LMNDQ2TJ08+duzYe++9V1lZ2bNnzyVLlpw+fXr69OnRaPSxxx4bPnz4hAkTHvz9f+fn5Y8YMXzX7p0bNm7Izcvt2LFTbm5uekb656BlGFL3NQBMY76v153AdFNDnAtqxCyHMcapSrXDB/a+/PKCjh07lpR06lPZKzk1xWeq3CEKcRUft2zvjGnph4XUEyWEQMlgoia5EOL48eO//e1vFy9ePHbs2Jtvvrl9+w4+v9+xbdd1NU2VEk7IK/5pGTcUKnfhIMAYI4wpobV1dRs2rH/6qacPHjx49eSrBwwcGPAH/IFALBqVmZaLdpApCqwc6IiybTs/P3/s2HH5+fnhcNg0TcnBS0jq8aPfTjAKVASoM2CMoScOYIpp2x9/9NFDDz28Y9fOa6+9buasmW3bFui6DsM2Pbu8xgVXqEKJ4roO5wJiRUopJkRwRgl1mbt+3boX57+4Y/uOsvKyUSNH5efnI4Ti8Ti0F8iKH4hrAZIC/4ExTktPS05OhiJFzy5lZGgYBhTYCSEaGhqqq6thDl5tbS0wTPAkJLZOnDgRi8UQQpFIJBaLcc4jkcipU6caGhqEELFYrLq6mnPuuu6pU6cgrjhXfSYQMGzHYoxt3bp13fp106dNmzB5gpGMEPtiOFifyqCs9B83NebDFlIQxZwzJsJIWEwk0VDV2i0sYncvqWwbKiAuRi5jlHJMeFQRyMZ+bxW0gvMC4IgsogA8Sgg5ePDgY489tnTp0hEjRnzve98rLi4WCLuO48JscdoEO7xr2EKMMQ5UKMFEU1XGuePY0Whs7Zo1zz333P79+yeMnzB8xHC/4VdVFfqTLi4rCR5Pcu2AOw2/kZqWCsWpqDkjBPJPFx0Ke2C0xVEycIPj8bhsFHAcZ9XKlf/3f49u37593Nhx06ZPLy3tHI1GDcNwHFdRqEeVX2YwyoUjXJjwqShUoQrGLka4KR2G+Lq16/7617/u3LGzuKR4xPARRUVF8CPonSeEWJYFhKgsSAeZcdd1T544uWzpstLOpaNGjvI2/yVDogihWCy2cePGzMzMcePG+f3+MWPG9O7du3379pTSqVOn+ny+nJyc3r17d+rUKT8/n3P+gx/8oKCggFI6fvx4IUReXp5hGGlpadnZ2ZmZmWPGjInFYnl5ea7r3nnnnW3btvX5fDNnzvT5fGnpaZWByuMnjq9bt840LSWZcEuNc0VOq0+0cHXA+pptzkJw4biMOyrWVI4OnDv44Xvvjxs1buaU6aGkUGpSGuWaEAwhQgTCiAqEVOx3vUHzLfukkKcD6JBLhVHO+Z49e5555pklS5b07dv35ptvLi0tZYwxxolCm2XteXM9NCaEcObxW5ff58hRBVxwjFFDQ+PaNWteeumlgwcP9u/ff/SY0WmpaY7jAFEFWnIXMZyAlvzmE41rmkYI2bdv34rlK7p3756eng4yGlBJCJJ2XjDzbQajqHnyHmPM7/fDslu1atWj//fozp07x40bN3Xq1KKiIohRePPAaM8ur0FHqusyzrlCdSGEbTt+w2Ccc86rtmx54YUXtmzZ0rms89gxY9u3bw8hhzTGmOM4svkgcbcDb+rz6QpVNE3zyNFLedjX1ta+/PLLBw8e7Ny5s6Io5eXl0JYkhOjevTscHsnJyXIO+JAhQ6CZqaSkBN4hGAwWFBQA7V1cXCzniw4dOtSyLEpp10HlSlRngvn8vpEjR5aVlaUkpygNPoqp6ugsbiCE5HAmhJChxZGrq19TtgVT5OjCdR2KcAw5+w7ufeixh/ML8kePGKWrPoSxix2oJ+EYEUEt7OjEhzww2oIXZ2IDE+TlZSPdp59++vzzzy9durRr165z5syB0QyKomACXW7CZYwJlxCsNBeeepf0spumaSCdhrFACDU2RtavX//yyy/t2bOnf//+gwcPTg4nI4RA097v938Tdw3KQOW6guycpmvQXE8IgRkf8MvAnnp49NsMRmFNgJCh67qffPLJQw89tHv3p6NGj546dWpp584YI+a6Pl13meuB0ZZgcJATIgghmJB4LOa6rs/wuczdWrXt8b88vnvX7tLOpWNGjwEkCmBUFiaCi2maCt2cnbdt27ZtXdezs7PHjBmbnJLs0aKX8rCH46G0tDQ1NVXOH5ICF6i5rhQ1p7fgecaY1Fv5PP/0WZszShAx9Zmq7rPqY5S7bjwejzRGDN3PHaQSItWX4rYRZk2QNG4bqkCCfb0DQFDODIfZ/Fj9iZrauqTUpPZl7S1kmYplGAGb25gwHWsuEZxTQYSLsImRl6Vv+UQaMFjyGYTQ3r17n3322eXLl5eXl8+cObN79+7wa4QQxl0525MQTAkllEIHN+jee3YZjTPmuq5P1xFCtXV1a1avfumll/bu3dunT5+Ro0aGk8JwryGN/k2M4oMZTkII4NrBm7Vp02b0qNFJ4bDPMCKNjaA/CL8Mjs7jR76dYFR6DSgfNk1z69at99133/bt2ydfPXn6jFlFRUWEYEVRHcemWHFdBq303v2+zMEDYxjDuG8EFeh+v8Fcd8vmLX954i+bNm6q7FY5edLkNm3aANnZ1JRGKTyWDUywsXVdh1+DRElNdfXuT3cXFBSkpqR6l/pSbsb09PSbb745FouBwpGkRWUbqRRykvk18OYAQOW/8GuJ0kif5eMoQwj5VMKof9u2bQtefqV/336VHXoz4dJmwBl2EMIobhvQxiSiX1s0Qxh23IhHG8xlHy47sP/gj+/40X//770ZmZk4KDQWNeMKJqLBTzmymlshVYQYinuroOUiUVhRpmn6/X7UzI8ePHjw2Weffeeddzp37jxr1qyePXv6fL76+nrQhkQYC4QVhUq9OcG5QJ5qbIsw07I0TaOKUl9f/8nHH7/00kv79u3r2bPn2HFj09PSIRiWbSSxWAwGvV7E/qFEeVrXdYENramp+fTT3W0LClKSk6FpSeJUcIPejWv1YFQIYfp1X8xKDGpNx6/6TNuyEUJEiN27d//7v//7/v37J0yYMGXKDR07dlQoJZTatm2aJiVUVRSMsacGd4mNYMJFE+MFkigYI4UqGGPHdRhnmqZSQtetW//Ynx7buGFjRUXFtddcm52dDXWiMqgFHhQqb2Bvg6CG67qO4xiGQQgxTfNcTfWypcv69+9f0aXCC0Mv2WGPEDp37tz8+fPPnTv361//Gkp4AUTCHZSOGzW3NgNbAFOLUIJGqdzyUicBpj8TQkzVRY7CBEcYVVZWBvyB7KwcpFqa2zTlyMIIIaQjFHYR6DnF0780PScQUhzXVRXVtAUlTFWIwxBCGBFh6jUNJ1d98vHmDZumz5reLredqzkIoXqKnSDHSEEIUUfYKsdIEKT+434sUZD1vB+hz8u1nvfkP/K2XkR03uWSEY7lOLqqKorCOMaICVU5dvDQnx9/fNnSpSUlJXPmzOnfv38sFmtoaPD5DBgUyQUSSFBCMSFAiBJCFEqpSiVj6tkl9TMIo2ZFcOBEz545s279+ldeWbBv374+ffqMGTsmOZwMBRjgQCDiDQQCUN95EbeJz+eLRCKKosCoPyhOPX78+PJ3lg8bPqy4U3EoKSkaiQAOBg3sC5aR8sBoS7G4odGYo8ZtFwnOEKEIg3ihanJHUFV1bXfbju0/+slPDuzff/XV18yaPbtTp46AO7nLCcF+vwEY1KvYuJTGuSAEq5pmWabjuIbPBwOdUXPSFlrphRB79+594P77161bN3zEiNGjR+fm5sLeholtnHOgPxFCEGhKjg1UhQOBAPRfa5qWl5c3bdq0rKws715f2nvN6+rqPvnkkz179txzzz2JE00SRTflYyn0KNOm59EGcu4zxhjQKsbYFw9AYQbGOCsrKxwOa5oWRzER5M3HFUII2QghhIy/R1U2CQQ6zLZtRVF0l0OEY5rmyZMnVVX99b//evv27e1zOyCEiEWxjRFqAp5CmAghvemAs6GeIBFKfuHyS1y359UwAGeTyAQjhKRUyHnvlvhClFAHeYUbkPF/e8FNx09p3Gac6jpzHKprtWfP3Xf//UuWLB04cOCsWbPKystdLjjCqqYjQpjrguocQohxhjhDIIcMA5Y8v3IJowtJYcjOAcaYQMJlzLbtLVVbnnryyb179w4ZMmTU6NFpqWmJLwe/cdFhaBM1a5rBYNBxHJi9Ar0rhUWF10+Zkpubq2kaiEmFw2HHcUBKTGote9ZawagasZGKmc0RQkwLYCfuWHFCVZFkqJbTWFMnhLjxxhuPHT06a9as6TNnFhYWCoG8COSy+xHXdW3bjsdNVVV1TUMIMddFCDHGXZcRQgjBBJMDBw/cf//9K1euHDFq5IgRIwoKCuAYBizyd4WCQ6EQjHGCylG/4e9c1lmhitdncCnvNSGksLDwV7/6VX19fSKQuuiZKehUwxivX79+xYoVFRUVN9xww4XNFwWuXc6VlZBu3bp1v/71r7t27frggw8OHToUDhI5vsWyLKDkE0lcGTvJOubz+hVE0/jyz7T94bE8cRPTeZqmwWQHGO4AHA90BAO5Ig8227Z9Pp+X/ksEH9BKAiL2cFV9aszGKjeIeaYmEApa0djP//3nixcvGjJ4yLRp08q7dAkEgqYZc11XVRSIURSqeDm0y26UUNtxMMaBQNAy442RiM/ng1ODc7bn008f/b9HDx8+PGbMmH79+qWlpsoJBZfA/H5/Q0MDjACUyk3BQLCktCQplKQoiqppzHXr6uqEEElJSRAsefe0dYNRJ6ghhLDlYoyxzpiuqTFuxW2lXjhhvz8Y6tS+6Ny5czNmzpw958aioiJVUYUQXibl8hrBJBAIBINBx7YZ5y5jrmUJIXw+HYZ/wj3auXPn//zP/2zesvmq3r3nzZ2XnJIiOI/FYoQQCDcB1H4FsnQcB053aGDcuHHj008/3a9fv+uvv96jiy6NMcZs24YyCRiHFo1G/X6/HLB0cYEvwLhIJFJXVweTYC+Y9qCUxmIxn89n2zaMpSWEtG3bdvbs2cFgUBaEwToEikV2XMmmK4CzIK2alJSkKAqciBJrIoQgTwdfHoCsfGeMMVw9wO6waCUrDFVGwWAwGAzCd25oaHBdNxwOU0qh6DYajSZOIr2SDVQXoKYckqdNSqIKQ8gPS/G2W29dunTp2LHjbrnlli5duiiq5rqO6zJVVVVNcx2HMaZ4rqMFGMYYOo8bGxsYY4Zh+P0BzllDQ8OO7dv/457/2Ltn79SpU0eNHhUMBGU4d2ncPtQXyU0Hp9Xq1av/9Kc/jR49euiwoVmZWY7jBINBkA8DDfxvopXKA6OXlnqpbcBE4UmGEokzJrCm+IIGd8TRnXuGDRtaXV39ne9+Z86cubl5eZqmW5YFMzO8+3oZjQsej8cDgUDzqU8IUTHGlFDXdeCE3rZ126N/fHTjxg3dunX/8Y9/rChKPBaDgxk4Idu22d8T5JIb3jRNQkhaWlphYWF+fr6HRC+d+1AUSum+ffvuuuuuAwcO7Nq1C7BRorO+OIuKc0k9jhkzZtiwYTBSXDKLF3DaQUeLYRiWZT333HPbtm27/vrrZ86cCYjTcRwAfAAcAdygBLnKRFiZOGFSfiVY6lBPYhgGvCdoEAIShZNMjreFV8lsPnRgAFYGTAxfOHGmthTZ9gwGLDXFwwlJlbjl0Dg3QoGbb5zz7nvvTZgwce7cucUlJbbjxE0TXqUqCkLIZS4Q7d6svssf5XJGMIGoLykpybat2toaVVV379p1zy/vOX3q9KxZMwcMHOjTfQDyotHoJXP7sB+hrl3TtFgsFo/HU1NTu3Qpz8zMhIIBCCNht0I9klc89vdprBbtXxpjqqoqPhWQKKEKQsiOxfft2X3D1Cnnzp6bNXv29VOmtmvXjhDsOg4hXvzRMkIIISzLjMXjCCFV1SihCCHLtl2XIYSqtlT93/89smH9ht69+8y7aZ6u67ZtA4KBs9myLNM0oX3+K9g1UDOGXkXOeXZ29uwbZ3fr1i1xxLlnl+BeB4PBGTNmzJo1C7JRMATv4jpfnGB79uxZtGjRli1b/pnjB8hO0zQbGxsh6x2JRADTaJoG/bCQcwfgCKQm0PCS1Fy9evXo0aMHDRpEKX3mmWeGDRu2ePHidevW3Xbbbb/5zW+OHj366quvTp069d133z127Ni0adN+/vOf27b9b//2b/3791+/fv3y5ctnzZp17733rl+//v777586deqbb7558ODBfv36PfXUU4yxn/3sZz/4wQ8OHjz4wQcfzJs378knn5TkH2ouaIGdcqVjF8bktE8onECy8sGnObHI92665f0PPhg9avSMGTOK2rcHTQ9NVRVKKSGMM9OMcy40TSNeKNsSGA0uXMYooT5dd2zbth1CyIb16//7v//76NGj48ePHzR4cEpyCgitwG69lG4fYkWIM2FL5ufnz5o9u3fv3hAk+/1+27ZjsZgskffs71MbLRopayriAiHEqa5QlzNkxsydO7f/9M6fHjxwcO7cufNumpeTkwuihAILSijBwqv4ucx3DRPDpwKJpes6Zywai/kNwzAM0zTXrln7wgsvbN++o3PnztOmTcvMyIQuJQCUqLm5RDZlfzU/ClMlQbzj6NGjq1at6tChQ79+/bxaukuGRDnn6enp48aNq62tBf4PnO9FH8EnO8d37tz55ptvDhgwoG/fvhd2o4HdBKy5YcOGzMzMyZMnDxkyJD09HQANIFHLsqAWLZH7RM06/w0NDYWFhVOmTNm2bZuqqu3bt+/WrVtKSkpqamplZWVycjKMnurSpUtycrJhGD179vT7/ZZlderUCRYt57xbt26FhYWhUCg/P79r164wvqVbt275+fkY4/bt26enp0NH8MmTJz/88MNu3bp169YNhiEDNJfc6hUORuEiyKHhwB8TQqrPnfu3f7vrgw8+GDRw0A033FDepYuqKIQQApW7QrgMmpaQ1tT1Ynv7+vLzUIRwwTHGmBDbNB3H2bVz56OPPrply5bZs2dVVHRVFRXiw2g0ijGGxvZLdMARAlE3JEZ0XaeU7tq167333+tW2a2ktCScFEbNnZoQtUqv6FlrBaPIEYwqyLYxFgIx12Hbt2/92b/dtW/f3tk3zp4y9Ybc3LxAIMAZUyh1GcOIE0K8BMtlBihIOK4jlc+hDl3Tdduy1q1d+8ILL2ytqqroWjFxwkSp4iSlfGCry9I6yI1+GdsNWEG6BsbY/gP70zPSISvq3YhLdGxQeurUqQceeODkyZNPPfUUEAOJDeMXC/Wi5mR9375927Ztm5aWlpiw/rrfmRASi8U+/vjj5557rnv37tOnT2/fvj1KGM8j+9zR36hT1dXVLV26dMmSJddff/31118/ZMgQSmllZWVeXl5qaqqmaRMmTFAUJSUlpUuXLnl5eeFwOBQKTZ8+HWNsGMaECRNM08zMzGSM5eXl6bru9/tTU1P79OkTCoUCgcDtt9+ek5NDCBk7dqwQIjMz0zCMIUOGLF68+NVXX83KysrPz0cIAUXqxV2ouYEJ7p30JBjjkydP/vZ///ed5e8MHjR45syZPXr2oIS4jDGXY+ZijEH3gzZPGOece6LULYLRIIQz7riuTqlt2xs2rH/m6Wc2bdxw/XXX9evfPzmcDKOhZR7jn6wg/7qLDThRv9+vKEosFhNCmJZ58ODBNm3aBPwB3eerq63VNA16Lr0d+q0AoyomzGacEyo452vXrL7vvvv27Ns7duy46TNmtG1b4NN15rqWbft0XVUUxpk3bKllEGZIVRTGODTR+w3DNOOrP1n94osvbt+2rbSs87ix43Jzc6WeqJRhk3gUkChQpF+NKqQwflZ21nXXXZeakgpleZ5dApMNPVBeiZprH7+JPQhQgxBiGEZmZmY4HL5gL08Iicfj9fX12dnZgwYNateuXSAQgHeToERKn0KHuwyKbNumlGZmZubk5LRp0yYjIyM9PR1jDE178NqcnBy4AvJJhFBeXh78NCsrCzUzx6FQCL4SiJRBzrGkpAS+Rn5+/tatW994440BAwYMHjw4Go1mZ2cDFSr3hZRr9UzGDECiHzp06LHH/rTw7YWDBg76/u23FxYWIoQcl2GMCGmSDUIIEUwwxo7rMtumlKqK4hWMXnaDmlGEUUNDw+bNm555+pmqrVUTJkwcNmJ4cjgZMhWO40ioB7v10tSrwI4DBAzdh67r5ufnT5kyJSc7B/ofQPQeWBIpSujd1lYDRiWqQFI3jiOEEKGK6zpr16x+5OGHtlZVTRg/Yfbs2YWFRTBeBXrnL0zhxbN/8n5hjBWqCCEc1wVBexjoTAmBk4FxplAqhPjoo4/mz5+/Z/enJaUlo0eP6dChQzQalVEmwBcpxgbdx+jvTfUFXR4hBLgD227SMfVWwiW2UCg0Y8aM2tpay7KgzBfu40WEpImjRLdt2/bhhx9WVFRce+21f/eFAO+ALZNrQwjx2muvbd26ddq0aZMmTfL7/cFgUIJpmaaHXybNxjk/efLkypUrOed9+/adN28ekKmyA0k+QAl1BYmsKkpQJD1vKhX8GhyocMTCpjh69OgHH3xQWFjYt2/fzMxMSingV/kpV85qT7yD8pnEZSZDU0Cijz766NJly/r37z9j5syKigrTNBnjCqVccIwwIYRxBmrHCW+FvDHil9I4F6qiODDHRFXlgQ6Vd5FIdN26tfNffHH37t2DBw0eOXpUWmqaTFn8bdx4aQxcAfwL5apCCDh9JOhUVRWgqvQ83r3++xe2hbiYRE8tYwguMGcIE77mk4//8OCDW7dtHzdu3PTp00tKSyQSxRirqiJQk6KTR4teSj/iOK7jOi5zEyekIYRcxqBxHliHdevWzZ8/f/fOXZ1KikeMGFlYWAhBLfSCQAeS5DMS+dGvPhhglg/gUULI2bNnFr69cPuO7d7Ov8SblzF27Nix06dPI4Sgn+aboAHk1oZCDuhd+LtIFKoJoboL6PZ4PO44juu61dXVtm2np6dLJCp1Q+GzJMUL0ktCiMbGxnXr1q1atUpRlJKSEqkYir5I4T8RQCc+KR+ft1DhukFnFUJox44d27dvz8vLu/766zt06BCJRE6dOgWIH8rjZI31FbjqQE/0vOUB4IAQcuDAgccff3zJkiVdystnzZ7ds1dP1ERpg8grAin1ppgBCS44pURVvUF9l8Fsx1EopZQwzhhnjDUBzWg0tmHD+pfmz9+9+9PevXuPGjUqKzNLnhHQIpko63vJNoLskJOpDIzxyZMnFi1ctGPHDvgpKMPoug4uyDuSWhMzKmlR8LNNGEXBDKE1n6x55JGHN2zYMGr06JmzZpWUlnq3rUXEMQQLgV2XSUbHdhyEkEIp40xOo9mwYcNf//rX7du2dykvHzlyVLt27RBCoCeqqCprzr1eQPl5ogykqqqhYCgzKzMlOeWS5Ws8A4vFYm+99daxY8cmTJgAYcY3GhN26NAhNTU1NTUVjoEv+6xETNwkOUlIfX394sWLc3NzhwwZ0qVLl3bt2klteQkTgeo4L/F3+vTpgwcP+ny+YcOGxePxYDB4sRQDzgOmkul/6aWXLMu6/fbbp0+fzjlfs2bNwoULMzMzc3NzZer/iiJdZI+8jF1lAlQCFIzxvn37nnrqqUWLFlVUVNx88y2dy8v9/qBlxpsm+nieoSUZJcRujr6gWhdopsbGyMaNG1566aUdO3b269dvxIgRycnJuk+HOtHL+51BoE3CUIiLQsFQTk5OUlKSlGMDsRfolZTJIs9aNBhNPAzg/IByKM65cJzNmzY9cN99W7ZsGT1mzA033FDauVRVNea6XlnP5QejmKg+TXDuMlcIxHnTSHFCaVPRp+tWVVX96U+P7dq1u6y8bMTIkUVFRRhjOXDcdRygRc9LZf6ja1dRIJtp27Zt25mZmRPGTwglhf52NqBn3yg+0DStS5cuMIgVFO//7vSsC3YUCKHq6uodO3YUFhbm5uZ+xTxMmdKF9SB7XF588cWePXsWFxd369YtEaoihCCtBow7qNnLIHnDhg1vv/32sGHDrr32WqgYA3mXCwM3ibOqpd+DcltN006cOAEVsaLZCCFZWVmdO3c2DMPn80GsDt/wiioYlf3LcJvkDYI6CkrpgQMHnnjiiUWLFlVWVs6aNatXr54CYcuMO66raSqQHQDgOfLAQYtwIIbPF4lG5aw+IURDY+OGDevnv/hi1ZaqHr16jho9OjMjgzFmxs2W8J1BEwOiVqBRQFhw7NixoaSQ7vPB3rQsy3Ecman37nUrAKMyuIf7Kh29oiibNm3+5T2/3LZ92/jxE+bMnVtaUuK4LhLCdhxV9fREL7PZjqM35UcQIZhgSinBCEOogBHesX37Hx/7Y1XV1rKysokTJrZp00YOVNR1HRKmqqrC4wvALtBQqSgKrJlz586tX7+uXWFh59LOHhi9xN55/PjxpmnCdv6GnK/M0O3evfutt94aOHAgqPp9NXiFM4NzXldXd/To0dzc3DFjxnTo0AFUqOTbygC4SfM8YfL7yZMnDcOor6+Hz4rH41IW6oL/TADrssJEVrm4rnvixImXX3554MCBd955JyjvwpfMzs4eM2YMxhho0cSRpFdIbZKcaCVLeuAWw8EBtSJPPPHEwoULKyoqZs+eXVlZyTm3XdY0QUBRGWNuMwXubduWcEMd5uqaBtpMsLmikcjWbVtffvnlnTt39e3Xb+zYsYBEFUWpb6gPBUOXHdiBi5ATgGEExsGDB9esWVNcUuzTffAMeA8In5BXQNgqwChqHvSHEIJh0BjjWCx26NCh/7jnnl27do0dM3bq1KnFxZ0IpbxpHokHNS6/UUoZZ7btUEo1VRdCcCYIQY7jUkoPHz744IMPrlu/rvdVV1177XV5eXlNvGkzWQVbFJ45b8DaP2hQXQdldjAJ46NVHyGEyjqXeXfnUkaSdXV1L7744uHDh3//+99/vh3kIkuNwoPu3btnZGRkZ2fLoZpf9hLZ32ZZVlVV1QMPPPCLX/ziBz/4gYSAiegTVqacbA5OybKst956KxQKDRgwYMKECSCIa9v2Pzn6SIq0y3pWQEj19fUHDx584403hBBdunTx+XxA6xJC9u/fv3z58uTk5PHjx2dnZyc261w5YFT2osmhVrJ28MSJE4888sjSpUuBE+3SpYuqqoxzXdNc5hJMGGMgM6dQ6tWGthDjnLvMDQaDruMwzhljVVurnn/uuZ07d/Xo0WPs2LG5ubmQNbVtO+APXFhB18U1YEDkmrQsS1XVSDSyft06n08vLyunlMbjcV3XVVUFJWyPHGkdYFRSAoqigBC0EKK+vv7WW2/dv//Adddff+OcG9u3b88YF8KGKIpg4qXpL7tpmiY454qAYXowbykcTkYotmvX7t/99rcbN2/qUt5l2vQZWZmZcIqAJiicxD6fDyhw2U1/Ad/BMAyMcTwe55y3adPmO9/9bnpGOijPeTfo0mxeCC2qqqoOHToEZMCFhRb/IIYjhGRmZkL/uxzK92XnHKyraDRaV1cHbfKxWMxxHNu2YVytBKDQFSvb213XhQjn6NGjzz//POe8qKioTZs2EvnBL8B8zgu+brKhHjQlzpw5c+bMmbKysp///Of9+vUzDEOKyAghGhoatm/fnp6ePnLkSAlnrzSST6bRQEgYCvIopSdOnLj//vuXLFnStWvXmTNn9uzZExA8IURggjnmgguBQLkJE+I4NuRzvC18eb2HrmmO6xpGE2jbWlX17DPPVFVt7d+//8iRI5OTk2FjmqbJOU8Kh+vr6r46/rw0ixA1d9FBTGiaZkHbgltvuy2cHE4KJ9XVNnkbCIZBavCyY2gPjP6j/gWqoBRFqamp8fl811xzzf79+2fPvnHajBnt2hUqVEG0qXfecV3PibQEg4nwEiUghAyfDwm2fdv2hx95+MMPP+zXv//tt98eDocBLEoiB1ApIAnLssDdXMAXoJTCd9B13TTNhsbGQCDAufhH+qw9u1jEBmOsTZs2Tz31VDweB9bqG0KipmkCXnz11Vf/+te/jhkz5l/+5V++QoYWvkM8Ht+8efPhw4enTJny0ksvwdhAyH3btg29COeVfsqy9cOHD7dp0+Y//uM/wuFwcXExsDKyAhVedWFSYlC8CJwKwM0jR4489dRTy5cvf+CBB8aNG9fknZu9IkKoT58+vXv3lqqKsMhBy/AKmYEsBbbkVAt4pqGh4be//e2SJUsqKytvvPHGPn36+Hy+hoYGUJPVDT94A0qppqoIY84Y58JLm15+MIowUJ6WGVdVZf269X/4wx+2bNk8ftz4kaNHZ6Sna7ru2HZdXZ3f7w8nJzc2NLSc4ktVVaPRqKIoSeEky7TOnD0Dp1j1uWrXdVNSUizLgl/z0vT/6AZvCeGR9PIY49TU1LKysl27dk2bNm3WrFmFhYWKQjnncdMEKS9KCEbefb38RinRNE1VFC64QMLw+RBC69dvePjhh957972evXrdfvvtfr8fQl5N0zRN8/l8fr8f+g0jkQioOwEtdGGHkxTO0HX92NEjP//Fz5cuWSLFcTy7BJtXURTLsnbu3Llz505gLiHRcXGPDdd1fT4fVHS0adOmd+/eOTk54OW/YnkghLZv3/7nP//58ccf3759e1JSElDpqHm6dCAQSAxd4AGAmFdffbV3795PPvlkRUVFr169wuEwoEPoH0qUwr3Q7UMNw1AUBRT18/LyRo8ePXny5M6dOwshYB4ESGpDwGaa5u7du3ft2gU/kt/2CkGiqDlND0OG4RJRSqPR6M9//vPXX3+9srLyJz/5yaBBg+LxeENDA/Q7h8Nh0GwihGCMXObG4/G4aSqUqorXdXC5Q1nBHdcNh8OO627ZvOWBBx7YsGHD+PETRo0ZnZWZKYRobGjgnCcnJxNC6uvqhBDh5OTLLqwrJVwMwyCENDY0Oo6zd8/e//f/7l7+znJd19MzMmKxGOfcZxjfxGzkb6u1iA0p2bLjx48PHDiwurp6ypQp8+bNa9uuHaUE9G+hY8llrnfPWgoYJdR1HZB2whgLzHbt3PXggw9u2LB+8OBBU6fekJ2TXVNdAyQo4AY5upM2d9wnzqj4ugbuwHVd27Z9Pl9ubt6okaM6deokBcI8uxQnCudnzpz5f//v/+3YsWPHjh2RSASanS+u/wX8B2upT58+3bt3B7SBmrPqklyXSTTLsqqrq3Nycn75y1+ePn26oqIClgr0+0uJ0EQlB9lLpOt6v379KioqunfvnpqaihKEQlEzMfl3vzMAVmhlsCzL5/OBFmZibQCldO/evfPnz/f5fHfccUe3bt38fj80Xcn3gfrUtWvXPvroo7m5uT/96U/z8/NVVYVD8Sv0BFqpmaaZWJKbGNUwjFy/rkZc1zUVn27q6k9v+/6iRQtHjRp9ww1T23fs5DJOFFVRqO0yxrlAUg+fNC8kihCVutSeXZooQqGKy1zGuKooqqa5juO4TbMSLcvcvm3bPb+858D+/dddd92gQYOSw8lSOh78vMy3mPF4SyBHZXMkBK6U0sLCwjFjxpZ2LmWMNTY0MMZCoZBj21Bg2honKQgkOONyaMgFK4e0JjAKtRdCiJMnT1533XWnT5++7rrr7rzzzszMTEq8tseWay5jQggfsBSOs37d+j//+c87duzo3r3H1Vdfk5OTU1dbZ5pmKBSSYPS8/fzPomFKQVsYCJKkpKSx48b6m7Ny3gFwCSJygGjBYPD2228/fvy4aZogwPlN/DkSKW7duvWjjz4qLi6eOHEi6DAAzSklveBbLViw4LXXXhswYMB3v/tdmM8JlcrRaBQAnwTT8OZwYJimWVVV9eabb959991PP/10KBSSP/2631lWoErRwVgsZhiG1DSFBqloNBqLxSD1L0F84sfB4y5dunznO99BCIVCIaiThqrrb98EJkCicC6ghNEDcUMTFlVipu3ENb8hGLv1hrkrViwfMWLktddeW96lAsp1OOcYq4RwqqhfuGI953DpoVvcNHVN0wzdtq1IJALrX1NV07IOHDjwq1/96tixY5MmTe7Tp092djbs6PNmQ3zhnIjLZVDMDbjF7/cLIdLS0kaPGa2pGvQ4QkwF+RypSNrq7htkb2zbbmxshIFS3+gOahENTJTSnTt3fu973ztw4MDkyZPbt2//wQcfUEoxoZ7vaLHmuI7f8ENffNyMb9y4cceOHeXlZddfP6WgoACoKU3TEpuWLm6ACO/MOTcMQ1XVXbt2LVmypKysbMSIEZ6u26WBpFA0qet6u3btwuEwZNLhvlxcchRqy2AJHTp0aM2aNUA0QpKaEGKaplRBgn/z8/O7d+9eVFQEA5akUgf0QwA6lLMEoeHAdd2GhobVq1d/8sknNTU1bdq0gV+A114A7JOSEXAp4DsDqrYsa8eOHY2NjTk5Obfffjs8/xUfoWlaYWGhoigwmx669KDA6VuWqccYAzkKoYWcc6O6rhPyk7iglEbr6u+440cr3l0xfPiIOXPmdC4r8/v9bhOFplBFQa7LEPcyaS3ihiKsa5pAAsazaZqqUIVzHo3FqrZsuf/++7dt23bDDTcMGjw4nJSkaRoUrrRkvl/Ondc0TdU0Mx7fsXPHhx982KNHj27duoVCoXg8jpq1YlDrHEzfNNmbUs55IBAAlhoK978hh9MivNjJkyffeOONzZs3q6paVVW1a9cu8P5CIA9VtFwXQwglBJRfGecIoS5dysePn5CRkRGLxVRVhaAQxlFcmKz93z3pYTy9BCINDQ2xeAx6bD024tJ8ECGkpqbm/vvvP3ny5CuvvPINtdJDvhse9+/fv6CgICsrCzXnyyBNDx8aiUTmz58fDAa7du06Z84cKdABfUJQhQkeVk5bgPePx+NHjx6NRCIjR47s0qVLWlqabduwri4YWMsAzDRNSHVBhAYAd+HChVu3bp0xY8b48eOB4P+Kt9q5c+eCBQuysrJmzpwJxaZSa/PbunplMhSQuosEaTRdIWprau/9zX8tW7Z03LjxM2bMKC4pURUFOFFFoaqiCs7liHOPzrjsxjhXFcWybYyxT9cZY5Zt27a9tarq0Ucf/XTPpxMnThw4cGBKcrLP54P72JL5fqmGDiEuCOBrqlZXVweKThBtQvpFHn+tNIMBZfpyljI44W9oW7WINH00Gj19+nRSUtKMGTMMw2hoaGjiPDD2oGjL3ZOuSyiFQ6NqS9WJEyeKi0vatWsHkp+wXqFaDvqXQcXpIu5J+AhI1pummZ6RPmXKlGAw6N2aSwwaVFVNTU2F+wvo7aIHA3I5wcfBpyQeD3JgkqZpW7duTU1N7dq1a15eHgQtUl0Fmt5kgYd0qa7rbt++/dVXX01OTr7zzjs7d+4sJUgh5rkA55v4EtAuRc39Rnv37s3IyCgtLc3NzS0tLZUMCiiYfuG7+f3+lJQUv98PYkby/b99aXoprwEDbGS1A+IYY3zs6KE//vHRpUuXDRk6dPr06eVduhBCWHOtBSWUMQb1iAoQq54IYAu4oS5zCSGENPERsVhsw4b1L7/88s6dO0ePGj16zOhwUliOImvS5GqpPBRAzMQAlRBSUFBw7XXXpqWmQW0liOBCK20rJdQwxoRSyD3CfgQxf3jmm6B7Woq0E3S2DhkypLCwMB6PA3YB8QdvM7fYmIlxRjCpqalpqG+orq6GXg2EEOQQE3uVvokvAJ3IML3DdV0zbp47dw4hlJ+f75WNXrLNixBKTk6eNWtWfX09nCKAGi+64r0sI9u8efPSpUt79uzZoUMH+AJQMBqPx1euXNm1a9dx48aFQqHMzEyp4okSpitJVCqfjEQijuOAfhN0XzUhm8/LJ33dv0iKYkqpdni3Q4cOPfroo1dddVX37t1zcnKgox+Orq9w8e3atZsyZQqlNBwOSzb3W0n7SZ5bljQ0HedYHD546Kmnnlq0cFH3Ht3nzpnbuawsEAg4to0S1R85F0KAzKjXpdQSTFEo54ISwjjn3AVOdP78+VWbtwwYMGDw4MFpqWlQcAJ9fqCR0mLXNpQhwdED6Q7btuvq6mqqa/yGXxZzw/EHRGnrPI+EnHkG2xD84TfH8raImlEIgqEQKikpKTs7uymqIN7cgpa+WhVFsWwLJSRMoeIHzl1Yx1K3S7YwX9xIBr5GQ0PDkqVLel91VceOHb3cXOJ1/qavRiQSqaqqOnHiRM+ePQGJXvTQObEPPRAIZGdnp6WlybGQgBdPnDjxxBNPzJw5c9iwYcnJyai5VEtSqpAcB+pC5uht23733XcPHDjQp0+f66+/HnhQ+CzZMHvBZ8nfdiNBUq+uri4Wi4XD4VAolHjIfUUxVm1tbVVVlWEYqampgUBAwtxv31KXQ9pgCUm9rYP79j/73HMLFy7sXNb5xtk3XnXVVYwzzjnoT8sFTwimRG3WfeOyj96zywZGqWK6FsaIENzYGNlaVfXSSy/t2La9V69eI0aMyM3NhUkZcjBKC68Z5ZxDHgYcHaSwz5w9s3zF8oEDBubn56ua1tjQIAe5tdKgUQjBGdN1/ciRIydOnJACNRc8oaYVgFEZDct7BmLmEBd7O7nFGqQq4JzAzfSPnLIISxZW8DdBlaHmITRyIFtycnJpSWlubp53a1Bzk/h5gkTfRCQJ89LeeOONPXv2/PCHP0TNne/fAL/S5KxKSkoyMzNBcUl6j+PHj3PO27dvn9gpn0iYATqRqW0pC8U5P378+J49e4qLi0H5QYb+EpJemP9NTDsC07Nnz57Vq1ePGDFi7ty5nTp1Sk9PT7w7sgz0C9/tyJEjCxcuTE9Pr6ioSEtLOw+gf5tMug7Y3XAZ9+3b99cXXli0aFHHjh1uvunmHj17qprmxGKWZQkh4Jo1RSaEwAXnwkOiLcIgESEEisVimzdvWvDygqqqqsrKygkTJ6anp0vCAvYdaMW3/KJ/2alpmialNDsru6xzWWZWpqZpnDEQxwCo2koLuzEmGPOjR4+++eabJ06c6NOnT1JS0oXpirQyMCoTVRhjIA8Q8rqXWrSB9DTIWwghmOsCQwlFFxDsynl9Mkb8JtgyUNkIBAKDBw8OBAOgSXkl3xohRGNj45EjR2KxWNu2bXNyctDfZHXlf/7z881hYHplZaUMTs77iPO+29fKMks4ImsHjx8/vnPnzg4dOmRkZEDgum7dumXLlv3gBz+4++67oapSMqZyyYGkA1R0QD1JJBLZsmVLcnJy7969Bw4cCL3qEkFKAPp36Q35DSU/l6gbJRGt67o7d+78wx/+UFxc3Ldv38TaUPklv4IQys7OHjNmTCgUAmmnRLfZSnmX8wIk+Qw8kNoIhJB9+/Y9++yzy5Yt69Cxw7Rp0wYNHhKLRRsbG3VNi5tmMBBooqkEh55XkLTEGKuK4jXUXzp8hglCCEojKKHwGIYmaqoaiUY3bFj/yoJXtm3b1qWiy/jxE7KyskA5AWZJQIMBqPyiFjw/E8Z8kGaDTEtycvLgwYMNv8EYg8pv0JmRVWotFsxI1yrjAem4zp458/rrry9durRPnz533nlnVlbWNyrP0iImMMkhKCC84rVAtpbjJFENDjdXnQPtBLXbML/xosNQuXIAYUC4dvr06aVLl+7YvuNKm8Ak/sYYYydOnHjxxRcffPDBrVu3nnfL4F6Ar5dqjhd2j+AlwWCwX79+Y8aMSWw7kNSjfGdADPILAHebaPKZRN8NktcQqcKTR48eXbdu3YEDB2CZNTY2vv/++8uXLweV079VJQR/kpgBB7Kzvr7+z3/+8+uvvx4KhUpLS2Xrm9S0lzTAV4N1+BTI7Zz3V8NZZdv2yZMnjxw5UllZOXr06MLCwvMasHCzfQUhlJOT06dPn8rKSpnZT7xcrRSMJl4r+HPOg+aEkKNHjz777LNvv/12YVHRvLnz+vcfwJhr27auaTIi5ZwLBDUVGDqWKCWEYA+JXrpzHOHEopTmQLfpXpiWtWXz5vnz52/evLm8S/nYMWMBiUo1e3ALIBsErZAt9i+FaBYCWhk9Hj58eNmyZXv37JUTwmTpcwvfpPK7JYpXOI5z/PixRYsWvffee507d/7FL34xaNCgQCDwzaJ8bxd51nrNMAzHcSC2jpvxffv2ZmSkyz6qKwGGwgPGGLhFiGthLsjJkydPnToF41jl6Q4KjrK5W7bmXFgdBfiv06dPP/DAA9u2bXvvvfeAUDwvwpZTxaEiE9y09NGQyYKgQj4v5TOBXCeEgGK8qqr9+vUrLS0Nh8ONjY179+5NSkq66667hg4dmpubC11H8p0TFYIQQqAtSimNRCI1NTUpKSn9+/eH8tN/RjkPPgWuZCILAuhKUZRz584tWLDgyJEj9957729/+9sLoxa2bt368ssvZ2RkzJo1q23btnCdW2/NqIxRJessL51cFYqinDp16pFHHlm8eHF5efn0GTMqu3ULBAKmGZd0vifi1lJ8ERK24wghgsGQ6zrxeLyp6hph23E+3b37+b8+v2XzlspulUOHDM3NzfUHAvV1dV+mHdGSDQpIwIlBd7kQIm7Gd+/e1bZtW1nz6vf7CaWRxkaZGGyZfw6o36iqquu6bdtA5Zw4cWL5iuXvLF3auXPnu+++e8CAAecB62+ntJNnnl1whIqaB0Xatt2xQ8cf//gnwWDwytEZlbPa4AoYhgGXBYZeSigGz8gZP4Dz4LCXPSIXlqmXZGc0Gm1sbIT/BCkl+FyZ6wCaEFQy4BmYP6RpmqZp0WgUfooSxnuCSK3f7wc8LdPTPp8vGAzCmIPf/OY3WVlZDz/88MCBA2WB5t+OLwIOFRgLx3G2b9/+wAMP3Hnnnbfccgv0IsDvSGmqr3sXCCEg5mLbtsztKIoCw0vi8Xh1dTVcH4QQyJd+3auNMW5oaIDIQULnVq14D8de4k2XMxTgAtbV1d17772LFy/u1avXvHnzevfuQ1XVdRzXZbquq5rGXBdj7DJGiJdJu/ymKgpCKBJpRAjpmkYVBRR2P929+7777tu0edOQwUMmTJiQkZEBODVx5m0rMp/PB5XKAN2g8bprRdeU5BQY8gIdTo7jkG9g1Ms3cYxCSAA1EpTSI0eOLFmy+P333u/QocO///u/jx49+rzT4VvewOSZZxcW0um6nhQO25ZVXVN99OjRzMzMdu3aXSHMKPj02travXv3njt3rqCgoGPHjpqmqaoKgax8DHVOhw4d2rVrFyFk7NixgGPgHUDN+AIQvOM48Xi8oKDgkUceMQwjsYgK3h+wKVQSA1CDwa3Qxi51oAzDkC4btEIBjgC81jQtsZrz1VdfnT9//vDhw6dPnz5nzpxgMAjZ+cRhJ1CvDLXLcKHkOB9VVdeuXbt///4jR46UlZVJbkbqd35dk7XLstxNJusPHTq0efPmwsLCu+++m1IKGPTC2KA+ffr06NFDNkbAeQBBRSs91OXVlvpcskAL5qPec889ixYt6t+//+zZs7t27co5j0ciEDDous5c13YchDz1v5ZisBFs205KSkJC1NfX67q+b9++3/3ud1u3bR0+bPj48eNhMC9jrL6uLhQKtcaSKhDalLl4xlgsFovFYuDfwOtijOFsAtW5ltxo6DhOIBAwTZMxFgwGDx8+/Oabb65cubKoqPA///M/x40bhxCqqalJTk7+pv8ED4x61oqhGOR8o5EIpfTw4cMPP/zQsGHD582bd+VcBEgY7dix44033sjIyJgxY0a3bt18Pl9jY6OmaWlpaX6/33Gc2traTz/99MMPP1y1alUwGBw1ahTkrKHq98JE3QEmqqpaV1f32muvnTp16q677gIICJwowDLbthljuq4DCEtKSoKKAslBSvwhhJCim6CQAE0AwLPGYjFApeXl5RkZGUuWLCkvL58yZQoA33g8riiKrusAgoFwRc25ctTcdrBp06bMzMy5c+eOHTu2TZs2lFJIukHJ2oWxjDCMFMqjgWCAK2Oa5sqVKx955JEJEyZ0796dUtrY2BgKhS5MtfTEiRObNm0KBAK9e/cG+h/69lppEkCqa8FxLrsh4U4FAoHbbrtt0aJFAwYMmD17do8ePRBCpmlqPl1RqEIV5rqxeBxjbPh8gIE8cfvLj9KYizE2DB+I4SQlJa1ft+73v//9+vXrJ0yYMGHihHBSWO5i4BdboxaEzLHAWgUPs2fPnif+8pfxEyZMmTJF07T6+npN0wy/34zHW/gm1TQNeAFVVQ8ePPjaa69+8MEH5V3K7/q3u0aPHm1Zlq7rKSkpcFK4rivFpD0w6plnTQZJXkppLBbDGLdp0+bmm29p06bNlZOmT+zarqurq6qqqq6uvuaaa4YMGeLz+bKzs8PhcDAYrK6u/uijj5YsWbJhwwbHccaOHQstg4k94xfWNQgA4tSpU4sWLaqtrf3Xf/3XIUOGpKen/+Y3v3nnnXcWLFgwd+7cnj17Pv7444qi3HvvvQsXLnzwwQf//Oc/d+jQ4eqrr+7evfv3v//9+fPnb9u2bebMma7rPvLII506dbrrrrteeOGFV1555dlnnz116tTPfvazn/zkJ2PHjr3nnnvq6uquv/76fv36rV27NhQKAXyBkRkoQbQYgCxqFoSCk+PEiRM/+clPOOfLli3LyckBPWopQHZhnenA+ALOhtfC4+PHjwshRo0a1bFjxw4dOsCCDIVCAHkv4FLv2bPn6aefzsjIaNeuXSgUAja09abpZeuurKiDShJKaTwe/8lPfrJs2bJBgwbNmDGjrKzM5/MJIQihqLldiQtOKVVVhRDiuA66hPNvPftiX4QwwkgIoSqq65qGYezYseO+++7bvGkTTPv0G34IQS3L4pwbfn+ksbE1glGfzyeVs8GBBAKBiq4VU6fdkJ+fjzGORqOQj+KM/W3hUAvkdKBoas+ePa+/9tr6DRt69uz5ox/dMXLUSNmQKouzZUuAx4x65tnnDDIj4XAYasY7l5WpqgJ5zCvkCjDGDMMYM2ZMly5dVqxYsXjx4ieffHLbtm29evVKSkpKTU09evToqlWr3nvvvbq6usGDB48ZM6agoAD6JeVJcMF9MOCkUlNTBw0aBIOvxo8fn5KSkp6eXlxcPGrUqKKiolAoBLygoiglJSUjR45MTk7WNG3EiBHw07KysmAwCN21I0eOzMzM9Pv9xcXFw4cPD4fDqqpOnDixXbt2hJDS0lIhRKdOnXr06DF+/Pj09HQ5LhLOAL/fL9Gn9JvAqlZXV2dmZv7iF79QFMXv90NCTXZHnQfuv9YVkLyy3TwK6OjRo4899tjp06fnzJkzcOBAoE9AQ/GCSegOHTrcfvvtwWAwJSUFlr1pmoZhAM/a6tat7J+TGU8ApqZp/uxnP1u0aFHv3r1vvPHGXr16McYikQillHGOSVMjCKXE8PkQxsx1ORdezWhLMM6h2ltTVWXzpk2/+93vNm/aNHny5GHDhmVmZcEMXhiViRCKRaOtlDJgjMk2UIjGo9GoQpV+/frpWhPBHwqFLMuSo15QC5Z2gpty+PDhpUuXbN2+rbKy8tbbbh02bJhq+LjjQkG/ruug1XhhgbQHRj37lhs0iIDiD2Ps0OFDryx4pUfPHqNHjb5CmFHQQAkEAoZhJCUlhcPhHj16bN++fefOnW+//TYkuKuqqoQQlZWV3bt379ixY15eHhCKklr7ZyZqgIdNSUmZNm2a3+/XdX3OnDmU0vT09AEDBlRUVCQlJWmaNmnSJMihFxUVff/738/MzFRV9cYbb4SvPXDgwN69e0MDUE5OjqIoycnJAwcO7NGjR0ZGhmVZN910U3Jyss/nmzBhAuc8OTlZ1/Xk5GRZiWWaps/nMwxDZsQSK1Aty1q/fv2f/vSn4cOHT506NbFCAOoU/1lOCNLEzVl+xlh2dna3bt0ikUjnzp0BfUJ5GTyWYmRf61NSUlKysrIAScMp6PP5Wns7OVwHKex65syZ3/72t2+88Ubv3r3vuOOOjh07Jo6n11SNC8EFB8EghJDj2JwLTVW9NP3lR6KCE4INny8aje7Yvv2RRx7ZsGH95KuvHjRoUGpamlRrkioK38RAvkuFuZtq3BNzL7t271r49sJ+/foNGTLE7/cD+wtVZC18MgVj7OzZs8uWLV2zdm1lRdfvfO+7Q4cM0XwBR1d9jDuO4/P5oCtLFu57zKhnnp3vFHRdB2knVVU1VQsGgz7dd+WovSRimkAgUFRU1KZNmw4dOqSlpb3xxhsHDx5kjBUXF/fv379v377FxcXBYFBqPwGEkufBBTOj0BKUnZ0Nz+Tl5cHzycnJ4XAYnpT9SeFwOCUlBZ7Mzc2FD4Vn4GskJSXBy9PS0tLT08HXh0IhQ4shZAXzg6atUCJUxbQc1WUK9ccdi1BVjRsaR42+OGWEMD2KESaWnzPEMcaaqhtGMJRc0K69Gk7hSDV1plqOrasYIdX6rIUCR3xGor5hwgli0TgmWGM+R7UwcnS/LX8Utw3JGWzbtu3VV1/t1q1b3759/X5/ZmZmokB94sX/upd6//79L774Yjgcvummm3JycgB2t/BzTqLMxD0rFxujhGEVM1e4DOvK2ZOn/ud//ueNN94cNnzEtddeU1ZezoVgjFNMmOBYCIVgxIQczJc43c1zhpfMKKFCCMu2EUK6pmGMXeYSTDDGjHPLim/ZvPnxx/+8bdu2MWPGDhw4MDc3FzVXZSSq/7beyWGy6RN2NMBNv+HXdV1GuUAESH2PFrATOcEY2E3GmKbpmGDXcQkhZ8+eeeP119euXdujR49bbr550KBBwVAII6LFbYSxlKuTcaPHjHrm2RccdaCsAVV6OTk548aNS0lJ+WeGibcuA/8uBw1YlhWJRM6ePXv27FlKqZTIiUQitbW1oNMpG9X/NmV8YY7mvJd8hQLIV+uDfNl/JrhygRDyaS5CGCGkq46uIgshSrATNDlyMVJsw+CoEbsEIUSJG68zV61aefLUySGDBn/v1u+2a9eeOwwFCULI0VX4AEf/rBVdi3yOXsMcPgpwKbGY5WCHCkowMmMUIeTzM9RcuAnE56lTp7Zt21ZQUJCWliah/3l/+4V586SkpM6dOxuGIcdcAcPa8k9uiUoTLwLjlGGCBUMIYZUeP3z0kUceXrx4Sc9ePadOnVrZrRtVVDMaVRQFE4I4R5gIgYD+bMI0CAS6kceJXmIKwLJtvVnDyGWMMaYoiBJq2/bOHTueevqprVu39e7Te8iQIW3atJGE6Bc68FbqdSH4hD8KIGleXt6kSZMg/JZCInA2yckslzuE4FDeQym1LNMwDIzR0aNH3nzzzY0bN3br1m3unDmDBg1KTk5GCGHMOBcyKYE+P8vAA6OeeXa+U4B0MwR8jY2Nhw8fZpylpKS0UrGbC0PkkC2qq6vbvXv3xo0bDxw40NDQUFJSkp6ebhhGOBw+ffr0a6+9tmXLlvLy8quuugqeBLVL9PlhRS3X4qgJGBqf94amJhDXVWSZjDhYpZbtZ0IR1FGwS6PRxu3btu7bt3/Y0GHl3Xq6QiXcUuK2Y2hfvqg+A6CJpnLdJjbCAitIIIKwQAhZDnFsgSlGCFVVVVFKs7KyYO681Hm9WJaXlzdmzBhKqezHTxwN0GJ3qBQOAyT62YQqKiihnCGE0OEDBx7705/efuvtym6VN990c0XXroFAwLFt1DRIiVBKOBceA9oiwKj4bLiGQIISQgnhgkei0a1VVX99/vktmzb37dt3xIgRaWlpus/XUF+fiGm+HS4XJjBB7QGEhbW1tUeOHGnTpk1aWpphGLZtwyzQFrI9McYI4cQZExjjw4cPL1q0aPXq1T169LjpppuGDBki01aXZQqmB0Y9a8VOAUAn1ImfPXf2k08+6dmrZ0lxyRV1EeLx+KFDh1atWrV27dqTJ09mZGT079+/U6dOn3zyiWEYXbt2PXfu3EcffbRy5crVq1dv3769vLx88uTJUmxcDvJp0f3IZlPGH1kMIYSw2fSffoQQ8jMiXOIgl2NEGxXFJ+pr4ocO7RYC9e3Tp7SkJBwKMjPi13Um2Fc4PQMjRL4YjJpKjBBMyOdEoJhAiLhwARctWmSa5i233DJx4kTZaXsRL8DJkyfXrl0bCAT69+8PVb9ATbX84ckQMcoc32djw2yGEDpy6OAzzzyzeNHirpVdZ8+a3atXL0KIbVuuyzRNVehnYghccK9lviUYzKEgBMMAeoxxLBrfvGnTyy+/vH7Dhsru3caPHw9zzKORSAvvJb8QON48Z0Q6TyHEuepzH678cPCgwUVFRQBPoY/WNM2WMIHJZS7BGKQMKKV+v3///v0LFy5cvXp1ly5d5s2bN3ToUPAqEOVeluPAA6OetVaDDQO8oKZp6WnpPXp0z8/Ph0LSKwSJQoPOli1bXn755dra2iFDhgwePHjgwIG1tbXLli2rq6sbMmRIz5498/LyVqxY8f7777/66qvHjh2bMGGCTOKjf7qN6ZKcAM3ADsMDFWGOENKjzNIcB4sAYnGNCM5dxBEnn3666/XX3+xS1mXK9dcrmsa5a9suJcyxXE1RlLj9hR9iG19+qRlP7LaRrCRj4tixI7m5udD4D678mygUO3369KpVq1JSUiorK1NTU6H2C5KALbybXkaMwKjBqcwwFoIdOrDvxRdfXLRoUXmX8jk3zunZq5cQwnacpvHfVIFEMELI65dvMT7nsywKF1wIEYvFq7ZsWbBgweZNm3r16jVmzJiMjAyEENCiEId8y84dWXsAASGlNCc7p3u37jm5OQghAKDQX4tahuiY4EKQpi9PCDl58uRrr722bt26zp0733rrrUOHDk1JSQFFGtn774FRzzz7Rw0CUIQQiJYnJSV1795DVVXQP78SrgBMsITKpPbt27dp0+aGG24oKCjw+/2nT5+2LKu6urq+vj4pKQkQTG5u7rp166DHU/YwgXuS6ZsWewQggREW6DOCgQAeJS5mCDsEY8H9Gj/TYJlxEY00cua6jm3a8bAiCCWqHwvBdYUIYhoK/9JP+SKL24YVRLrVJMkur5sQ4tSpU0888cSYMWPmzJlDCAkEAjBB6qI79IKCgquvvtrn84XDYcgJWJYF678lB0uSa5EdV02XjuATx468+OL8t956u6h90Q033NCjZ89gMNTY2KAqCsZNjTIw7lxVFYKJEMIrD20BXhc7tq1rWtw0YSNsrap68cUXq6qqOpeXjR07Nj8/HwZLYoxDoRCIQH+b8KgcTA/uFzxnMBi86qqrQkkhiO1h7jF4ZumlL+ddowQ178Fjx44tWrRo5cqVlZWVd9xxx4gRI4CYkHOb0WWq2vLAqGetGIpJCXHbto8ePbps6dKy8vKBAwdeOXAcAFBlZWVubm5eXl5RURE4FDj4a2tro9GooijhcLi0tDQtLa2srAwIPAiCoXJUjiBqsWcGQ1iArDbCFPHPgUZMsEqsmEUIQlz9cNXyaCzar2+/f+/eTXBm+KnQhIJcyxaIcEUlzHWR8qW48wufjxsacSKMIyIwpwwhRARFihKLRuvq65cvX+7z+crLy6UIP0IICPuLWLscCoXat28Pd9xxHBiJCZpWLRyPQlkzdBmCsj0h5OiRo0888eSihQs7FneaNXNWr149KSWu68B8c4wxsG4w7YUSyjlnnHv86OWHYoSalmUoCnABgEQ3b95c0bVi/LjxGRkZIHJi27ZlWbrP922qFm3yRc2F2rItjzF24OCB9959r0ePHldddVUgGIxFo7KvtOX4VcbY6dOnFy5cuGLFirKysn/5l38ZMWKEz+eT+lOyf+Cy3DUPjHrWWg3oPfAIiqIIzk+dOd3JLQ4nJ8djsSvhCkAFvWEYnTp1KioqkuU+cJzH4/F4PN5Ub8c5xjgvLw+UVsCBgtMBuNDSzwzyGUhkiCCEKLYQNi0/cVwRVF09rETiius6y1e8u2fPpxkZGWPH9nNNhRPko8xhSsBgDiO2zQLG1zgYamhTrSpRGVPDDKSguDBt5/TpU0ePHi0tLbn//vvLy8uBb4ZbIE+pi3gBdu/e/fzzz/t8vnnz5hUXF8Ph0cKLKzDGQLfAcFeIkQghJ06ceOIvf3nrrbfaty+aOXPmwIEDdV2rratnjEsmVQhBKdFUFWHMGeOCe/WiLeSeMsZc16GUbNm8+S9P/GXzxk29el81aeKk3NxcQKhNWnua1tjQ8O1LUkGcCYsZQiyI50+ePFFT0w52JVCnUEXWEohhwYXj2CdPnly+fPnHH39cUlLys5/9bMyYMbDXFEWBCa6JKZ1Lj6E9MOpZazXYOVDpoqpqSWnpL+/5JWPsW+kBv5ilaC6NhysApz5McgfVZSgAAmAEvwkq4lKXBK7hhcmwX0qzA/GmB0YcIaTFDYSQECoWmAXjNSisNET37NvTJi//jjt+ZFl2bl6O46hY4ZQTy1EY4ypFKnXVpqrQL/1L47ahxY16igwtrsWNMEK2ERdCMKQQbCOEGFK4Qc4dP/biCy+8vfDte39zb98+veFMkoqtoEF4wYtQHgPyASxyTdMMwwC2Vd6+lsxny9oPoG8hS3j27Nk//OEPb731Vqfiku9979b+AwbEYjHbcZKSkmKxmOHzwYp1GRMCMca44IxxGEnvMtfze5d5JzpOMBi0LGvb1q1/fvzP69ev79ev39gxY6GOWUI0xlg8HgdkBuzgt+YK+P1++NMAmAKtWFJccs89vwRUWltT4/P5oMlJhv2XZpN+2Qdxzqurqz/++OPly5e3a9fu7rvvHjduHJS0EkJgoLFUYbtcLa0eGPWsFcfopmkSQvx+P+f81KlTO3bsyMrO6lza+dvk+776CkhUCv8pk7YY49TUVCEEHAyAWiT6RJ8vq2/5YwLizWJMwjSJIHFDU2KmYC7VCIpThcW3bt8+c8bMH/7wh5OvvqZtu0zMiW0RhTbVhmKCvqRn6fPhTczAHMWwKxwH20YDRwIjX9SwUIOuqlxwTjHFXNSbqakZEydOdBynW/fugEQTL6m8yBd2nACtklhnuWHDBsMwfvGLX6Dmvj3GWCwWCwaD/+T0rG/0vAF+paGhAfQXQfL2oYceev3117tWVs6ZM7dnr56cMZC8tSwTch2JF5NxDucl58Lmjuf0LrvBkJGzZ8888sjDa9euHTBw4Phx4/Py8uQ4g8QBS6h5NsG3ySzLUhRFVVXbtmV56LFjx3bu2lnQtqCoqIhSCiXd8Puy8fESfDdoagT4Cz4E2Iea2uolS5a8/fbbxcXF995778iRI6HUB3ZZor+CZy7LieCBUc9aq8FYNiGEaZqc88OHDz/99FPDh4/o0L7DlaMz+mVWUVHx85//3HXdpKQk8ErgEOXAzFZ2r1EjBmflUzlCJB5xkFAUzTJtTdMjjfH8rHadS7qUdCgL0GTS6FMRpRh9XZxlMWRbXCfURxSOkR8hU9hR4RiqoXHVxQg5aMehzS+8+Ne4bf77v//7T//lXxUjgNBFpusURYnH45Jcqa2tfeihhxoaGqDbABa8ruuARC/4hp4HQ78h8oYQkpSUFIlEMMZ+v//uu+9+7bXXevfuPXjwYCHExg0b42YcYxxOCsOMb9AH8Jxbi41+w8nJZ86cfubpZ9asWT1w0KBJEydlZ2cnRhFXwkUghEDLvKZpgMLPVZ978403R48eVVZWRgiJRCLAkkajUU3TIBt+Cb6Y3++vra1NSkpSVLWxoUFVVVVVjx079sYbr3/w/vu9evX68Y9/PGjQIGiylAp0LSS14oFRz1oxGAUnCHnn0tLSW2+9rV27dqGkJDMe965PamoqeBneTC+h1kCCfqGpiJvIJIgQpCGTMcyxobp1fisW/2DZirvv/o9oJHq29symjVWGGmDY5ZhfiH8VBHr2FaQ5KI4Q8iHDEibCHBGBkEBIOI7NHHfs2LGGzyA0WUcXf6VFo1GYO2+aZk1NTXJy8u23384YKy0thRpfycWiCx2reJ7k53lVARfLJEkGFYTz589fvnx5Q0PDBx98sHb9ekooc12BBMFEURTHcQQSuFn7ybOWaQRhjkQ0Eh01cuTV11yTlZVl27YUOboSroCmaUA3Su8qhCgoKJg1a1Zubi6lNBaLyTFpPp/vknXTQ1IFJio3NjQAOXrkyJE33nj9o49Wde7c+Qc/+MHIkSOhjgsl5NNayIX1wKhnrdUgUQJVShDqFRQU6D490th4hdSMfjVSB5EBuFBST7SVXhkHOSoiHBGGXJVi5PpFNSPcOn30xIP3PXTo6OGxgyYGAyE77jCbq5ouBOeCwZykr3HQCkq4yjgTnJtOzAj4DL8vZjYSBWMqMBHHTx3b+ekOjElmRpZP1ThqQOgic/BAb8C5vmnTpv/+7/+ePHnyiBEjMjMzoQZDjjKCvr3zhr9/XaSIvvlMPTRGmKZ5/PjxeDz+ve99Ly8vz3ZdSqmmNik5MM4QDC1EwgOjLdYwxpTQF1988dy5cwMGDczMzIRsL8zAu0IuAuSXIN0Eu48xpmt6u3bt/AE/CAD7fD54QC5hcAU9A+Hk5Pq6OiFEUji8b+/et99+a83atV26VNz+/e+PGjUKJDggo9jSas09MOpZ68ajjDE4mPft3/fySy/36Nlj5IiRHhhN7E9CzbVc0OvaSslRjLCCGEKIWkHiENcRu3fvfvzxxw8cOvS9G26/bsJMK2ZTQZkjCCJIYEwR+pqkoWACM6z7aCRqCYJSkvWIbbrITk7xnzx7csGb8w/tPxSJNCaFQ01DVnTV0OLxr9DK//rHiazlchynqKiobdu2eXl56enphBDXdSEtCDcRTsGLkh6F3vyLfmrKGQGEEF3XQ6EQxjg9PX3w4MGBQFAgBB9q2zaU3FBFiTezSp61WBy2YsVy27GTw8lS/v08ov3bbSBPJnXvIdw6eOjg66+93qdPn+HDh/v9foDmnHOoh4bK70sQKqiqGotGMcbBYPDI4cOvv/76ho0bKrpU3HzzTUOGDAHHomkaKPpdgljUA6OeXREma8uAHA0GgpmZGRnpGcFg8MoJ07/C5FwlqTTUeg+MICJWDGOiqA7FLhIW2fvp7mefeeaTtWuuH33DjAlzk/Q0Rfchl6gIR2OWSlSiUIG/7hUTggtdo26AazpyhJMeJpohDp858MH7H27aUJUSTg+GAo3xRl3TFKpizOqiSL+o3Cik+T744IM1a9b86Ec/uv3227Ozs4HJgEwokDHytl5waCHVW2zbtm07GAx+c+sQmKRYLAansqIoSeEkgZqgjM8wIKUI9TZewXdLNs6547icMajUDwQC0FF+0efftliDRBzsRzkO1G/409PTgsGgFMNXFEWqnVwyr6soCgiqHDx48LXXXtu0eVNl18q58+aOGD48KSkpsUi0BR4EHhj1rLUaqLhBuZIQIjs7e/z4CUnhJK8BQh4bMnaX7EUrPTB8DLtYEIaFS13b2blr+/N/fWH9xg2j+4+eNGRKXlKhY8adGMaM2i73IdV1sIMRpvjrriiERCzOjYBCMI9E7UDQf7z6+GuL3lj43sJwODhk8MB9R/duqlpPCKECxU1b0ejFXdLAgIIIy+zZs4uLi6U4juM4GGMgDh3HgdMOSI4L/jiEUCwWq6+vRwj5/f6Ly5oDkQZRkOM4hmFAhfn4VgAAslZJREFUDIkxFlwwweH4pJSAwqgUavU2b4t1uT5dZ4wpqgrJAeial+ruV8JFgE75xICQc56bm3v11dcEggFCSCwW8/l8gFahIe+iqw5/NUFz8ODBxUsWb9m8uaJLxdx5c4cNGxZKSUGMQd+VoiiKorTAMcIeGPWsFXtG2OHgCs+ePbthw4bCwsJQRaiVZqIvLg4Ad5k48LNVD+XDDBGGFKZs2LH12eee27xlW99u/a4dMTU3tdCO2cwSyMbCRZhhwYhwESIYKV8TjBJEKBJC2DFmKzzZ0I6eOfna0vmLP1noDwYG9h9UWdH9TP0pxh3OhUBcCBHy8X9ENOoftEgksm/fvnA4PHjw4IKCAshry2waxF1wTyW98c9IO0kweubMGUVRIJ94ce9a4tRZqKhpih4xxs1pesaalqj8Bc+5tVivwnhTZQghBFp5Wm/lz4WZbduJddvwt589e3bjxo0dOnYIBoIwFBDaiaSE86VB6q7r1tbVLVq8aO3atYBEhw4ZEkrNRIwTIiRDIamcFjU1wwOjnrVWk04QgvKa2pqNmzZquta9e3ePXEEJnKj0Pi3ki0nR0HANRU1N6ogKjlCTGr2lMk5dpKC4oTFUT1AYORbiiDBt446tzzz/wvp1VT1Kr5rUf1pOUgcU12yTuybSFSoEJgp2uIt1TJv635HAWKrcQ+JeoYhz5DiCYoQEEhypCkJcMMzUJEQ4cxkRFDfaNW8te+31Fa8Zft/gbqMqCioDOIRcRXAqHES5rmm8nroXQEsmVmslCjQePXr0scce69Wr10033WTbNmSuQdcQUn6oeVifPN4gqZ3YF5+4+L/spicW+UHfQ01NDaU0OztbviTxS15YeVliZQilNHEQA2oua4ZMPRyKcMC3qLXq2XnLxrYdQghrHiAJIYTkv6+EiyAH0ydOKqqtq127do3u00tLSnVdB/1/AHygJ38R9VYxBsfW7NUEEuDouKiuPrt40ZJPPv64S3n5vHlzhw8fnhwOc+QqFAmBgKmV+7GlpRA9MOpZq4dccIBlZ+eMHDEyPz/fuyYoQfGnBfJMiY4UCUQ5R4IgjpBwEBaMEMYcTgRCgiHMEUbIcSzFx/TNO7c9/sRTGzdsvaq8/7WDp+WndMRxv2sJzKiKVc4RoohRQTUiiECMYyYQxogQgRBMkxQYCYQQEUhgjgTBGAskHC6EoEQgn4vDDHOhY+Vsbc2ChS+/tPQlf0pgcMXwira9AiLIGzC3VMEV4VDqqnYK4ci6YDCa2DZkWVY0GgVq0DRNCSj/tuBMHvlfePyf98v/SFQG47jq6+s558Fg8AuLR/9JWh0qDeAgbIKbzd9Mzn1JVEr3gskWaxhjRaGw+ADNyIT1FXIFQMJCUv7A+ufk5A4fPqKwsFBRFOhwgjw4rPyLq/wPETRCCJSUBRIYIdu2q6urly5d+u67Kzp06HDrrbeOGDEiFAoJIQjnIsFXyAdemt4zzy4a3oLDG1Q2fD49Pz8/EAh4J1lrMduIazEDYYQQR4Qz5CKBXcK5cBFXGGIIOQpKEggRB2/9dPuf/vj4+g2b+nYbOGXU9E65XbAtovWMCCLE5/TtRRPUxQgjgTASSGCMRJMXRwjZFkKIawrBAiEuFAXZrqtiomvUZTYl6pnq028se+upl58yko2xvSeWF3UN+v0IXbR+WDjGgE+CIrOqqqr9+/f37t37l7/8JYiMStIlcWD0V0DbLwSsX7YXEt8K9Ho557FY7PTp06qqQlVZ4jt4qXPPPJPnDsxzt20bWFKEkKoqefl5ySnJ0M4FNaM4AbJfxB0kRFN6JHGIyfHjx1euXPnGG2/069fvu9/97vDhwwGJtqJsg+diPGutBiEpNHa4rnv48OEFCxZs2rzp2zeA7ttGriTMhqe4HhEH0QZEG4ViO6rFFZuq1GWuhjRaHyKNtuD06OHDv3/g4TUfrx/cc+iUMTPaZLV3LB6LMea4KBGJ4oR3J0hgjDDmQLsiJDhCHGGOfCpGQlAiXM5czjUf8QcUTpDNOOKopu7c4hWL//TsH5Uwubr/dZ0Ly1NTUr+MRcAXhFBh6UIW3nXd6urqtWvXvv766/v27cvJyUlJSXEcR1VV4Jz+rugSbrbz4Ok/GJXJFLzruufOnTt79qxlWee9gxfgeeYZGMSQADFhC2OMT548+eYbb+7YvkMIYRiG67qQBLAs66K3jXLBE/X2GWOnTp1auXLlokWLOnXq9J3vfGf8+PGQ3wDXAdUULf/CesyoZ604QpU6GhhjEND26T4YFuxdn5ZsRtxGCBlaHGkIoQgwlmaccJfpPsWxuUH9LKqGETprx6InT933uz+sXbt+cO8RUybMKMwqcaLIsTi3hU/VXPsLxn4SLDgiCGMh5Z04wk1FpIgg4Vep4wrHtXVNRRQxxrHGqUbO1VUvfm/xn55+nCaTmUPn9KrsRwSNxqKUEkoSMWgTOKPIQsj/df98KKCEsUOHDx+mlI4aNaq4uHjo0KGQ3bMsC/h+udS/gtj4W9IU/vMf4UISk+MY43g8fvLkSUVRfD4fqNJIjra1N8B55tlFMehM4pzDnE/oUoKMOWxe2L/QHgRCZhe3ZpQzRhQFTj1d148dO/bWW2+tXr26oKDgV7/61YgRI3Rdh8m6oE0hq8w9MOqZZ9+IYYwh7gTWqlOnTj/60Y9QQsOgZy0diQJIbLagwU1GLc4VRWeWywV3mU4s9Kv/95t33v/g+lHTrhl5Q0Ywz2x0VaH7MGFUcEdghIVAX+BpcVOdaBMS5Uiye1HLSQ2rtuOolBo+7Aorzh1dJ/Xxc4vfW/Tw0w/RsHLL2NvLi7vF41bQF9SoJoQQ4mJGODAWa/v27Y899lhGRsaPfvSjTp06SQAKc+dBvwn+/YqzRFawJWbnoZrtyxgR2eEOOXqUMNgpGo1WV1drmpaSkiILOr1F65lnYDBODPYvYwz2Wvv27X/4wx9CKiMSiQSDQQCLfr8fGrwu7sEHpx7n/NSpU8uXL1+6dGn79u1//etfjx8/3rIscCDAzsoOs5Y/S8IDo561VgNhQnn6HjlyZMOGDfn5+T169PCGuLRoMBojCCGkfYZE3WZlGNvkpsOCGlKYGje5bcZ++atfv7n0rRkjvnPdiFn5aYVEKIgTK+4ix1UJjUUdnxzUThDBAmH+Oa17jIRoQqJYICEQQYgiEo0hTdV8Bo66MaTS1FDo2NkDL7/x8vw3X1BCytT+s3t369PQGFOIYjuupqicMS4YukioDOIly7JCoVCHDh0CgYDP5wMkCkcI1IlKsYivFjz6W+0Y0zTr6+vj8fiXQdjEWVx1dXWg16uqKhTAVVdXY4wNwwCxffhNr2zUM8/g3IFRRsCPwq45cuTI+vXrSzuXdmjfAQhRkL+A30EXtWQTNqmiKMeOHVuwYMGKFStKSkp+9rOfjR8/HjWL+1JKpWRvaxHe8s5sz1qrEUKgXQnizjNnzrz19lvDhg7r27evR462aOMqIs7fIlGEENaxqis0ojKHxaORO39651vvvXnrtB9O6H9jblKBsKjrEiqQjqkglLvI8Ok8oWZU4M8oUoGRkBooCKFmJIoQChlKo2lquiYwZYIhwQ6fOblwxduvrnhNy1BvHnlr+4LixkjcrwccG2mKFmloJAqmFAmBLgoeJYR88MEHq1atGjZs2E9/+lOgWIBQkVJNwGdomgYj6b+aKUEJok6O4zQ0NJw6daqxsfErwGiiNI9oNojiYrFYXV3d2bNns7KyINnnrVnPPAOD8Q0SZUL5ypnTp99e+DZjrGOHjrquW5YFwZvUZbu46QXLsg4ePPjhhx9u3LixuLj4X//1XydNmgTzL3w+n+M4ILxPKU2clOGBUc88+6YiVDhQwSlUVFTc+5t7A0Gvm77FmzAR/4K8FUOYK1iJBJgjTpw+/etf/ebtDxZ+5+rvTx07PYW0QZbiOK5COefUtjjiQlOoYAgn9kMhJASBViWB8Oc0pBK6NR0XBQw97sSjrpuS4TtZc/Llt15csOxlPaCO63FNQU5hanJqQ0PMdbhC1MaGBk3VCRIcfSbLJzCyMEIIuYjqX/8C2La9d+/etWvXdurUqWvXrpRSODkg/QdMhhQWRf+wzCf8AtSoQf79y0gRmaAHyhPKrKVaJIiZnzp1CmOcnZ2taRq0SnjkqGeeaZoGEBM6FmCiWJeKiv/85X+GkkK6rsfjcZAaVRQF0vQXG4naDQ0Nq1atWrFiRceOHX/0ox+NHDnScRyfzyc5USm834rmEXhg1LPWajIJAjnN+ob6mtoa13VTU1Iv7uYH4kqOUINaVVVVoWUKOqik1objOBc8nvFLwVszFknUNgc+GPAB/Ai+pGVZkEX6MhwDueDExOul7E0x4jbD5DwHGUWuQES4lHHhs/SDR/f+7jf3vbNy2fThs68ZcUOGP9dtVISDqKDCRYghgrDA2OVNYPM8PIoQQgKpBHGCHZszJlRMmOAY4bAfna2LGz7dFULXdaToh44feX3pgrfef0NP0sZcNbZnp6t8hmHGbIIpY0hwV8Gq4IjjC+FEZSIPrjDcoHfffTcjI2P06NG9e/fOzMyEIZmyHSERVv4t0Pyy5SF1oOS/coT9F75EzuVCCar7cm0AO2uaZk1Njc/nS01NTYTFiTO9PITq2ZVmEOkB4yjHUDVGGhsjjYZhOI6DEAKcippTHOhCpZ3kSGe53YQQ56rPvfH665988klZWdltt902cuRIyBDKHX2epGhr6Tv0/IhnrZZfEwJoJMdxHMc5cuTISy+9tHVr1UWvFoePEEJA/sV1XYh3GxsbIZEqi9lBr+ei/6WyUl4qeoDLA+wrEacsMUTNKuKJ0jxSB8S2bRk3y/f/W3H1b8gYClPhixEUq8cNEWE5lCHMkSJsRXCiuoG9B3Y8+OBDH6z+cGyfSbdMua1NehEzCXeQYAgzjF2MRILeO/lc61JTv7zAiGPbEbbFkcCUYkqRomKXu3VxMzlZR4pwkSsIP1t38pWFL7/+/muBJP/YARMqirv7jQARCnMF4gQzxDjCmCKOBUefNeb/Lfb98ngJKrfgC0O27qGHHnrkkUcaGhpKSkpSU1PhsIHY4MvG2PyDx0li0PKP3M0vfFuZ0QPl0ZqamoaGBimjBgfeeYUBnnl25ZjjOFC7AsEeHDcnTpx44YUXNm/eDNJOpmmCvwWNtgs7FCDSA2bBtm0Ibs+cOfPmG29s3bq1srJyzpw5AwcONAwDho5+IafQihQwPGbUs1YMRhMZneRwcnlZeW5u3kXn+UCeAzKbQIWCazh8+PChQ4ck/yTL7y7uwF8gq+TYD/T5hhUJKyV3m+j4wEmh5oZr1KyHBV8PONRLPFra8sVYo6NjnQuBMROC2A7GSEEYkRjdtW3nk3956sOVq/p3HTL3ulvzUtrHI3GV6IJjwc9zsuc5XdD8xFhOJ+FIcEGIUClxXK4QFAiSmIU4QZwIXVNPVB97eclfF338tubTe3cZ0K2kV2oozal3QBsfI8Q5DN7DTUJOf4O7KKr3IY6Q/hUrhzEGdyQejzc0NGRmZo4fPz41NTUjIwNgn7x9cFsvL9EIiFn24dq2DWNCNU0LBAJfyBJ5jsizK+3ckbPTZPlKakpqWeeyzKxMcNQAUqXXvbCYjTSbaZqMMcMwjh49unTZ0rVr15WVdb7xxhuHDh2alpaWWHLTqi+sB0Y9a60myUjY/+np6f379/cZxsVFouBHNE2Lx+OhUAhU5TRNO3DgwLvvrjBNc/jw4aWlpfIrXXSuSEqaJ/JeiZORoWhJ+q+/nUd/XqYeyFFd188bw3Nppkv7TSdOVYcxqikKVpnlEoaRiwmj27bveOqpZ1Z/vK5Pl35zJt+Sn9a+sSGOXUwIRRyfDz3Pe0CaHjfxlwKpGBGMkEDMZa7LVF3VdGxy5GJEVFQdOfP60pffXvWWzzCG9RlZWdwjoIdckyGOEMZIYI4w4ligz9qgzrs0OkIUhqH8vXsHuH/z5s1PPvnkd77znYkTJ4ZCIcMw5Fklk3Et4aCViXhKKWPMsqy6ujqYrw0VBbCE5DR5zxF5dkUZBGmy0RBQaUpKSv/+/cPJYYSQbduQOoNfltJpX9ftg0OIxWKEEL/ff+jQoeXLl69evbpzWedZs2YNGTIkLS1NEiVQotq6L6y3tjxr1XhUZgzPnTv38ccfHzp48Js41EFtByTcNE07cuTIindXnDp1evDgwdddd127du3kzLdvIjyllNq2nRhkS/giw3RIAUtwI38BnFoioYsQkoVNqDm5f8mARdzQNOTHBLlCuLbgjGJTI5aydcvWp596Zt3q9T1Ke08fP7d9Tud4o6UIQrnObCwwAk2mhP8JpAhEBaKfIVGEEOJN/3MdrmBBsbAdRilSdRR1LYZdXwBXR0+/sOi511e+6g8GBvUYXtG+R2pSOuWqFXcQB0q1ebKSwEggITAWBDDuFwDir1yfiqIA+qeUHjhwwHGc9PR0SL3JfDrcJohzLvueSpQdhSYq27bPnTtXV1cnRSoSK5K9TL1nV5oB/SEDeCHEmTNnPv7440OHDgFDCQSBTOJfgGuVYSEku2pqa958681VH60q7lQ8b968kSNHZmZmgv+HzwI/07qvqrewPGulBko0kOIUQjRGGvfu3RtODoOPuOgntD8QqK+rMwzj2LFjSxYvPnP6zKjRo66/7rqioiKUwEHCgX1xISm8OSTiwfuYpgkdnYFAQGbqge+UL5GliihBBR0lVB2g5r6Zv50n+Q3HEAgpBDOBhBAuxRxX7ax69pnn165dX96p4tqRU0vzK+wYJ4wSrBNBXIaE+jnEiZHABAZWYmjgaUKK8n8IuY4gAlEFawpRdcSQwyny+cix6kNvvPPWgnfma3592FUjuxR182mGFXNURdOJzhlDCCNBMAJatJkVxeLzd+Tvg1FAaY2Njbt37z5y5MiQIUN+9KMflZWVQQmy1JyXMz9bzlkC4FimHYQQoISv63o4HIZufY8T9eyKPXcgtkfNqhRCiGgsumfPnszMTICqUOgiDymJSr+WgXMwDOPEiROLFy/+5OOPO3Uqvunmm0eOHJEcDkuPDe8MCLhVZ+o9MOpZK7bEHZ6bmzthwgTIXFz0Pck5j0YiPp/v1KlTixYvOnrkyLjx46dPm1ZUVAh+B3Ka34QvAJQJPZuc8xMnThw9ehTIzoaGhpSUlK5du8oqJdSc3wGmLbFfHuDOzp07T5w40atXL5/PJwFrIo16Ce5aHKFoNBL2hVWuRV1z26dVTz351Jo167t37nn96OnFbTsjFwWIHkeiscHODPtiMZdq5HMd+Bg1oUOBEEIYRs8LnAhGNYKFKxhGhk8R1I3Yti+o18XOLlj46oLFLwXSAgO7DK0s7pHkT7YslzPEOCKCIt40zUlA4SjQohckLgqXt7a29sMPP9yyZcvw4cMnTZoET+q6DiVlieSoFKluCUgUKBkoWYP/rK+vV1VV07RQKJTYrusxo55daQZsZWKnfJs2bSZOnAg6aHKir6RLLmyPCCEsy2qMNK5YseLtt9/uUtHltu/fOnLEiKSkFBBplm0DErm26qvqgVHPWqtJMgk2IYi6AW1z0eEgISQai5pxc/Hixfv37Zs0cdL06dPaFraTvkDqJX0TPSjQaYQQ2rVr17p166LRaGFhod/vX7lyJSGkrKwM2pJ8Pl9i+/x5uVRCyIkTJx555JETJ048/vjjMrkva+0vGTnKDNOOWpbggrODRw/8+Ykn1q5Z172s53VjpnVp313Yimu5GqbcRUggwTlnroIVTDACJhRLFIqaKjahg77pmaZ/FUw4YYwxl3GOOaH8+JkjSz98e8Hil3mQjRswsaxjN13xc4R1RWccc4e7nCkSeWLQyb/wCxKJRGpraxsbGwsKCqD3FiXIMMnaCUiLSx7lsleOykpWWZEMkBTKPM47Wb2yUc+uwHMHeAGZegLnGQqFfIYPElCJ4hjyN/8/e+8dJ1d15Ymfe1+o9yp1Tmp1q5XVSq2cE5JAAglEsAGhAAiRTHAYezyB2Zndmd3Z2d96Z3dmJ3gddsfYYxNMEMo5SwjlHDvnnKrqpXvv74/TfSkEyCCDrPDOB8vV3dXVVe/de+73pO/3yx46ODu/a9eunTt3FhcPe/mllxfcsyAciQjOiNrTjiX5VTzPk2WxW/XC3vxv8SqSxavuKzrHT/vE5JkP325Xk7EgpfTKlSs//vGP9+3bd30BYjLCgaSyOyE94xqC87fffuv4sWP3Lrx32YoV/QYNJITK81uSREqF0q/KCCHRaBQAzp49+/Of//zy5ctz585dvHhxampqa2trIpHQNA2bh7BZPnmbJJsQ4sqVK2+++SYAZGRkYCoXHaWiKPgi19iDyTA3+XHC1OOmnjB7qFXNhGPGqRnTVBvMODXjlHhUT5gAkDD1hKnbKmOuF0rpKzxysfLSP/34X/bu319SPHHpoidH9h/Hbcod6iRIW6cb0JSgaTR3smg0oKg92UraW67H//BDAgXW86lBgFAIgOAe4dQgSkBYzGLEttyWTTvX/ezffx4jnUumPTykcHh6NEMlque4wClwYEwoRAUCAj4u+pPe/wPCgQpCRS99FIAACwiHj0fErro4586d+/Wvf33u3LlvfvOb3/72t/EmJnskzHlDb/MuUpV9VQ4TrrdTTUYmGKjI3rhwOJyRkWH2DghKBjHfC/l2Rxm6euzwloS7Fy9c/PGPf3zw4EHLsrCKhXgUN/i1jqSkRn8AgcUpIQTzvJaWlo8++mjdurVpqal//uevPfjQg4ZhAiWapsiWbvm7t4FM2s39ATgnioKRukwncM4Vhbquh48lVJUhSDIYxe/cBr29vl3DNeBhmZ6WXjy8uE+fPteXqqGUeB6TUQ0lRAB4jCmqLihvbWl+4403jh87tnLlymeeeSY/P5+7nqxrJ/uar5zxvgfzJRI/+9nPWlpa/uRP/mT48OFCiHA4PG/evJycHAzEsTaEg5wyfJdsyQDQ1dVVW1vbr1+/P/uzP4vFYtFoFNvwP51J/cxsmRTzSA7/XEo8AACPgho3mQqOFg+rHmXMBZvZVAAllIOnuR4lHGzFFRawkEaCcThfV/33P/pfO/funjxs1uPzVw/MKPHaqHCBMFBBBQI2AxIQQZPalCseR61PTggnlBDghGDWUlGAA1iuF9aBMSEYNwxiMUeEBY8IIYRBlcbm+jUb1vziN6/TIF085rEpxbM1atjNHghKheJxJjgoQIQQQkWa0p4pKEI4IUCoIAoHjZOAICoHEEAFCEhh0K6QQFI2EeMWHHSrrKw8fPhw8qxDctIRL6yU+vx9zhKJDpNbhK8djUvQ/GlabFwz8qbL9HlmZmafPn3ki9/qNUHffPu9kFPvvkbHmJWVNXTY0MyMTJmelB2c1y7TC8E1VXcc5rmOruuqpriu6zp2W1vb7l273nnnnb59+/6H//AXi+679/M0Sr4mcmsfjF59BKIflLrJmqomGIvHE6hwoKqqqiiMM9t2pBCWolDORSKRCIWCRiBgO46u611dXV8t+6Nvf3CTlO/YvlNQUPDkyifl5PKXP9EpRrqo7WvbdjAY1HW9paXFsqwNGzbs37//W9/61urVq1NSUm5kORU/5rFjx9atW/ftb387Ly8Pt8agQYOGDBkis1mIPgGgo6MDk3DYRw+9nEFlZWW7d+/Ozc0dNWpUMBhE/ygn9K8tOCk1V/EPfUxFGdC1hM3MAIAtLJuAqoIAShUiFFDbnG5CqEFNW8SpQ1Wqc2EbxPDibovV/P/93X9bv23johkPLrv/mcLMoTzBhScUoQg5GpQs8pn8BQdBAUAQAVxAzOEK0JChgABNIw4Xbd12NKiD5tmCaZQ2NDe+v/69X775SxZ0Fk945O7ZC0AQwb7KG0QpRVEurLwfO3bMdd1p06bdddddGBLIyyj7dL/aFXIVOvwir5+MXKWkAk4sWZalKAo2tqJEQnZ2dlpamu9zfPMN+1VQv1cGmfn5+U+ufFLXdUqpJAEEANQFlXzPnzZFUWKxWCAQiEQitm0jpWhra+uuXbvWrFlTUlKyevXqBQsWILq9DdKftyoYNYNB1/OQ1EZVVdd1HcchhEQjEUVVcaDYBtA0LRDQAYDznoZiTVUDgQDngjHXtm1FUQwjwBj3i0q3GRiV/ZpCiNLS0m3btw0bOmz69OnX8WpYWMEGSlxvlmXhGNC77767adOml19++Tvf+Q5Sf38dkOIaoEHTtN/85jexWGzmzJmZmZnJYp6SVj0Wi+3atevQoUNDhgxZuHBhJBJBhWL56c6fP3/s2LGVK1di6vSq8ZRrTy81Njbqum6aJrKTyue3dbQ2t7f0GTKYQoAZcYgzO6M70C4AwPG0iKELRQGgAdVwdUEY50aIJnisw37ttb94+4Pf3jXunqcee35wTnGsw6EAqqp4dhISxWo5UipRJLMnAr/mPT8lADoltu1GTD2WYMBEalSJJzSHA/dYMKI0tzW+88Fbv3jrF17QXlTy0Lw5d0fC0a6ObviKPAF1FSQdNAwDvVN7e/uPf/zj8vLy7373uw888ECyOBY+RlGWr3DxXPVS2G2GZcRrRGWyuVlGVh+XBXpBM/4oHA5nZWVFIhHff/rmW7LAr2R9xtNn3Nhx48eP13UdXQH2TeEMk6xBfTrOl2VbfNDZ2blt27b169fn5uY+99xz3/jGN3AXy1e7XXNqNzUY7eru1HUjGokAgNtL3OW6bmtrK+c8HImEgkHHdeW9lAx5tuOgZKJhGJFwOBaP67rue9LbD4yiU8DwtLOz88TxE+lp6agq9OVPdFAU1bIswzCw1ycQCLS3t//yl788fPjwK6+8gkj0GsJrX9/HtCyrqalp9OjRhmFYloX9nYg2cGCrvr7+1KlThw4dam5u/s1vftPW1vbAAw/06dMHvRg2wldUVKSnpy9atEjW2SUS/Z1bIzs7+8UXX1y4cOHcuXPD4TBilAMHDuzZu2fOPXfld8dIODUFSCAAwHg8JHSh6IobS4DngUJ1FQI0rhACXjfr7Gr9T6/9lzfff2PB5MV//PKfZ4byW1s7AyJAheq4goirWr/RXwvOKQjycX5U9EzQUwKaRklAS1jCthNB0xSUClUAQMAwaxuq3/ngt2988BsS5d+YsnThXYtA0IaGBiNgEvgkSrsu6XkA4BoLBIIAYFlWIBBoaGgIhULPPvuspmmDBg3CbyIolEMGX0cjB3yyb1WGGZ+3ET4zES6RKE7CWZZFKU1NTc3JycEAxq8s+eYbTouiQDT01iW6Y92nT53OzckdP368pmnYqHPV/N9nvhomWXE0MBQKVVZWbtmyZffu3UVFRX/0R3907733YqoVe7Wl2IQPRm+0GUaQc56wLBnEY1BiGD3iMY7rYmkSE0WyLqnrWm8QIxKWhXzg/i66/ZwCZs0RkhYXF//5n/+5YRrXt1dxkYRCIcdxXNc1TbOuru7dd989c+bM008//Ud/9EfRaBQplpJF3m6AX8B++Y6ODtu2EShgDN3W1tbd3R2JRDIyMqLR6MiRIydOnIjqUIcPH164cCGOKGEBt7y8/OzZsyUlJQMHDkQIe1Ua7NrvgTH2Z3/2Z//yL//iOM68efMyMjJ27dq1f//+UaNGDSkabGg6d7viDg8YBICAxinwOHBqqIanOy63uRXwUjiHttby//BX/3Ht+k0LJjzwved+2C+zf3trQuUaERp3CWFAAISAz3g72LzZOykPvAc7chAJ101NUVs6bU1TQiHSbccd4aaEzab22jfW/PtbG95QQuqDk745dcx012GcuUEzKD7zXCBA6PUgUklMfeLEib/6q7+aOXPmI488kpeXJ/k4ZWIjefF8HQkbOcCLDUvXLurJjrfkJlEZmeAYUygUwgI97g4fjPrmGyEEx0al4AghZMTwEa+99looHEKtvmAwmEgkUColuVfqM10rNk1xzuvr6zdt2rR169aBAwe+/PLLixcvRgI+wzC6u7sNwwgEAtc3m++D0d8fbRDGhCRBRC0Qxphtc8Sd6N8x94O1SzwAHMeNx2LhSIQxZiUSuXl9Wlqav9rSmG83Q2ZU6noj7XBVVVVGRkZaatp13GiZRsLQs7Ky8oMPPrh8+fJTTz21atWqUCgkdUdlZvSGLSdCyMSJE19//fXXX3/9+eefT09PLy0tLSsry8vLKygoQG+lqiruhT59+kSjUeyjl4rn58+fr6mpWbJkiSwRyIaEZCmgz/tEiqL06dNn1apV77///vbt2znnVVVVY8aMmTF9RooeCXTThGmBygEUBIgOgAuCqEyoLiVBEuM2s6qry/7Lf/27rTu3zRlxz+qlL/dNGxBr93RhCK6yJCQqoSEFAYRL/CkoAAfCe5Eo7+Wh5yQRJ6auGwaJ2ZYaUMMpemn1pbff/+36PWsVVburZN7MibMVond3x1LCUSGIxzgW/clXdHfi8XhKSkpmZma/fv2GDRuWk5MTCATkykRnhUMGkpjw64jNkoGm4zhStesz985VDE0ypMcsL+c8Eonk5uamp6d/3njE7zO275tvt6hJQiUZxjPGOjo7y8vL+/btGwlHJHOz3FbXyIVpmg4AhmFcvnx5/fr1H3300aBBg5555pl7773XNE3pq7EadntvtJsajDq2LYBYiQQevbZj65qu63o8EceDMzUltah//wEDBpiGUVdXd+HihabGJtnzxznv6u5KT0ufNGlSSmqq7zFvP5PVT0JIdXX1O7/97eQpU/r373+d7E6EdHR0GIbR2Ni4cePGioqKhx56aPny5dnZ2RKu4SvjVMcNaycnhDz99NOu6546deo//+f/3K9fv3Hjxo0cOTI9PV2mrLCaoyhKVVXVk08+mZGRIcU/SktLT506FQ6Hx4wZc1ViLBmsXHuDKIrSr1+/+++///XXX6+pqVm4cOHUqVNT9Ag4HIhQuVB0lSs8DowBqAABUBI2cM41j2sscObSyX/4X/97/94DU0bOeOmR7w8uGOTGCXNUwgl4YFCwuec4oGuqBKOCfjy1hEg0WfOTCCACKCG6ThOOEw4HiAKu7RBCKhqr3tvy/vqD66mu3TP2nkmjpuiqyTwWDoaB0EQ8rlFdCPKxphIRBMh1106EEEeOHNm6detTTz310ksv4WpBqWi5DqUW69fX8iWnkXoPOQ2h8DVwpEyIYpVQ5nE554ZhZGZmZmVlYZewnxb1zTe5d7DEAb3DA0KImprqd999Z+asWbm5uTi0hEG+53kyX/bZCExVYrFYQ0PDzp07jx07NmDAgKeffnrhwoWhUEgqkmC9S547fpn+DwE1VM3zPMM08/PzO7s69+7Zc+ijjzzHEQApKal33XXXqJGjMjMysFc/mpLSr1+/jvaOrVu3nj17VlWVQMAYPXr0hMcmIG7wK/W3mWGGUrLP9MnrM/uuOYWFhdd3r13Po4SYplleXr5169bq6uqFCxeuWLGioKBAOh2JLbBGcyNP6MLCwmeeeaa6utp13VAoVFhYmJOTIz8pYgjbtt944425c+cOHjwYM6OY/jx9+nRjY+PYsWPz8vKwHoTZX6kj+js/CPYnEEIuX76Mpf+uri7GGAUKAoAIzfOAAAegQGlvclQolILGXH7m7InX/98v9u7bXzJk3LeefHVQdJjT6VCiqJxyD7hHYsxViDA0lYtPDtH3qn0KAEEIJk4/9UZpQKcJJya4SEsLlNfX/Pr9X2/av56AMm3UzIkjp6alZjiOo6k6JdSyLI3q8Gkqe8SjX/5mqrbuum5XV9eBAwceeeSRMWPGIJi7CutLJlGcV/hqkxyyRCBfMxgMIufXNcAovgfXdWOxWFdXF/Y74dtD2c+0tDQp0+V7G99864WPqqQWQR+rqmp+n/y75s4t6leEQSCy7GEOFYHp572a53kdHR1btmw5ePDgoEGDVqxYcffdd2dkZFyVCLgq2+qD0RttRAi80zm5ObquV1dXr1+3vqa2NiUlOnHipFmzZg0YOBCDD+wl7du3gHN+8ODBSxcvqppWWFg4/+75AwYOVBRFUag/TX+bWbKOJQCEQqHhxcODweA1tOmTRd7l3u4ZUQQCABUVFZs3b66trZ0/f/6yZcsKCwvhs7gYb3wXMqV04MCBgwYN+szaKLYxHThwIBwOT506FcdN0Nrb20+fPu04zqRJk3CYRv7i1q1bOzo60tLSmpubhRD9+/dPT08PBALZ2dlInXbV0OjevXvLysqmTZtmmmZpaemWLVvmzbqrMJgLQMBTHMF1BrpCLOAOEAaKwgl19fNnz//i9dd3794ztnjC0998dnDfEayJMltVFcoFIQwUAMYpoYRSyq+Wfe8p3asUhADH41QQnDVSFFCpsGymKaogAIIEdLWmsfrttW9t3LNOqDBrzMxJw6amhFO5J0AQwQXjHDghROGf2TRKrnVDqUI5NgtRVQjuecxT3dZO9/y509kZOWPGjHnppZcKCgqkQvRVWfPkDPTXVG5LlugMhUKSwfTaz8fhts7OTtl24rpuZmZmdnZ2suzntf+ib77dUeeOnGqXir7hcHh48fBoShQnGeSQohQiwTo7lkcwU4AT981NTZs2bdq3b9+AAQNWrFhxzz33IBK9ijAYbiM+0VsSjOK563keIVpKamp2VraiKAQgHI48+uijQ4cNk2tC5nt0TQ/oOiHENI2BAwdMmDARu0h9FHr7GaYqJaN4fX39tu3biocVZ2dn/05vkszc3pOsIlBdXb1ly5aGhob58+c/+uij/fv3v0aB8gafxMlQI/kK4LK3LKuiooIxNmfOnHA4LOerAODKlSuXLl3Ky8sbPXq0HATs6up666239u7dO2fOHGxw3Lhx4/vvv9+vX7+xY8fOmDED2Uwxh4fYffPmzRcuXBg2bNi4ceNSU1PT0tIOHTq0a/fu+dPviqREAgr1XKbrwIBwAAJEtXXB+Onjp379+psH9hwc2m/40vufHD1gvB3zhAMqqKj2CQBCgKYqIMBL7uJEnSMCwAlQwTwQIEAQQkEB4nHucaZQETCIIIxxLxjSa1urf/PBm2t3v08DyrQJMyYOnZoezBIchBAUFO4J4KCA+nljrXDNkXrGmFCE5zHP86iiqqpiC6uhseGff/zPY0eMW7Vq1cMPPyxr39fuJ/7KV85VYQkGS1+wUwWrRpjjwVSuaZppaWlpaWnStfqg0zffkl0BlqSk/BLnvLa2dvuO7SWjSyZOnIiz9lJ2R9K64WNJ/8IY6+zq3LBhw8GDB/v167dixYr58+enpaUlM7J9emvfxnZTy4EmS9LFYrGm5qb29jZFVbOys4qHDxdC2LatKD2UeJjrqqmpqamt4ZyHQuFRo0ZjgIK330+L3n5g9Kpotb2t3bbt3zlELAeVkB0JG4DKyss3b95cX18/f/78pUuXDh48+OZ3AXgFmpqatmzZ8tFHH1mWdeXKlXPnzmHMzRjzPO/kyZOdnZ2jR49GbSqMzo8dO/ajH/0oHA7PmjVr8uTJ99xzD2PswIEDDQ0NkUgEqZux0oQf37KsqqoqRKKZmZmqqo4YMWLSpEkuc2ub6gUQDyhwCkAScUJtk4EqbHbpxKV//+VvdmzdNbDP0GWLV40bMsWJCeIFgH08Dg/QC0BJEhIlAKRXd1MQ4IQxcF2uUVAoCBCqDlQRjuBUpw64RpA2dtS9+cEb7279rQds2tiZ08bNykrLAUaAEeA9/wmRNCAlS/JEwBe4wwSIpqgCBPM8hVLX9ZqamznnaWlp6GRk7lOmNG5+hyPRc7KWWF5eXmpqqkSi8rP4/tM336BXmSx5RxBCHNdpbWmNxWKyZ0ZuMTn5irkz7KfyPK+lpWXrlq1bt27t16/fqlWrFixYkJmZmdyKeqdd2Js6M8qE0FRFUajnsYaG+osXLnZ1daempw0bOoxzbgQCrqbZtoMZMkoJY1BbW1tZWQmEpKREx44bq6qK57Eb3N7n2w2LVbArHCOWPvl9Ft+/ODUl9Zraaz3GOTdM07IsAKCKUldXt3nz5qrKynvuueexxx6TSPTmvwK2bV+6dGnXrl0YUh89enTGjBk4uUIpbWhoOHv2bGpqaklJifSSXV1d2IrwyCOP5OTkaJoWj8cdx8nJyZk3b97cuXNReVkS2mGlad68ebm5uaZpQi/D2ogRI/rk5CW6EwEt4BI3ZIDt6pw53CNa3Dx/7vzrv/j3ndv3DOo75Jv3PjFu6FSFaYwx7lH4VN+nxKM9P6AABDgQIgQIACC6QhwuCMFYQgQNRdGVhM1dwYXCW2JN76x7781Nb9AguWvC/MklM9IiGSL+SYcuJM799HXs7VS9dqWeUkXVEKOfPXvm3fffmTFn6g/++AdhLWKaptRHSZYkuCViOXmsapoWiUQyMzORO+LOScn45tuX8ro4nghJ7H75+fmLFi/C4i0SnCcSCQCQZQc5ioTPb2xs3L9//9q1Hwzo3/+JJ55YuHBheno69MoC35mB380NRj2PUqooFI/VS5cuEUrTUtMmT55s23ZqahrjzLJsTH07jiuEaGxsrKmtVRQlPT1j8KDBMvTHgWt/I91mTkHOMAkhHMeJdccCeiBZgPHTQS3yklqW5ToO9u7U1tasW7+u9MrlB+5/4IknnhgwYICMXm6k7Of1GU7QT5s2DUOy9vb26dOnI2SklF64cKGmpmbUqFFIL4qfxfO8uro6TdP69++PWb1jx441NTUNGjRo0KBBhmFIojS8PpzzcDiMHYRIV4RXPhAI5OX2YS5zVE8lemeMaETRnQhn8fLy0l/94pfbt+4cnD/sicVPjRs6lVvAHaEKxbb41VeUfBqc9gImLvWYuKkSjwvHc3VVAUW4gglNKAFobml5b/Nv/33Nr0RY3D1x0ezJdwVDkUTcIjZV+efTy1+FO8nv8P6u5wqP6BwEER5zy8rLvK32sJFDikuKqaVKPHeNfuWbcPtISlGc+Y1EIllZWcFg8OZH0r759gfcOLKNXn7T8zwrYWF76FWRHm4xjO1Rfa2ru2vLli179+7N75P/7W9/e+7cuRkZGQhRro8HxgejX/+bUxTkXiaENNQ3lF65IjgPBPRRo0drmtbR0Y73D+UNhBAd7e319XWdHZ3hcKhv377pGRmMcUiSufPtdjLszWCMYehZWVn561//etq0af369fu8X5HtO8FgsLOzMxwOt7W3vfnmmxcvXHz4oQefeuqpfv36YRMqRji4tG5mB5GWljZp0iTOeTweDwaD2D8q/eOxY8c454MHD05PT5fAPRAITJw4cdeuXcePH0fh+x07dqiqunjx4rFjx+KnlipWmOTDDDRebanbRAgBBUAXlCkcmN3lqGrUYHC5pvr//J+fbN6ypbhw5JMPPjtq4ATigMrVeNxjXNEoZUoS4uzhE/24WVMC0J62UQAAsBIsGlI8zjWi6AEiqOcwh2q8ubNhw571P3/7Z65hPTH16Uljp2k04CY8DXRIftHPOlN+JwBNNtM0FV0knA47YetaoGTUmMdWPDx9xlTFUxOWFQqF8PJiyRvhHZI83Px4FM/LQCCQlpaWmZkpkWiySpNfWfLNN2nJk6B4XlSUV/z7v//73Hlzs7OzpTKwRJ+S8gUTAR9+eHDz5k0Z6Rk//JMfPnD//ZgRSFYTvDMRy80NRjXVcT08X2traxsbGzVdz8rKLh42jHPe3t4eDIU0TfU8ZhoG4+x4WVlpaRlnLDU1bejQoZqmum6P+IHvSW9Lk/VoQkhWZtaMGTOK+hddAwEguLQsKxwOh0KhhsbGN9/4zZHDR1Y988yzz67OysyUh66MaG8Ymej1gQnMYhqGgdLhQgjUciSE1NXVHThwIDMzE0eX5EdLSUl56KGH6uvrX3/99dLS0paWFk3TfvjDHyItkSw3478Y5kltMxnx91BUKswhQlOoB166mt7l2nVN1X/7N3+3eff2sYMnPP2NZ0f2H6syqoiAmwBFKPF4Ijc13KWIZEwIIIAIED0JUkJFDyTt4bQHANAITSRA01UzSGxhe4wFQ0Z9a8Xb69/59bu/hjBfOPKBOdPnEqHGuhOmFiRAOROfHprHF+9Bul8Gj3Z0dgSE0thR39LcqoBSWFhw75z7EuEuF+wwhF3XRUakHsd10xPJJYNLSmkwGExPT8dW0WQkKh98pnyob77dgYbt+DIzisAxIyNj2rRpRUVF0oWiXmiyECjnvK29fcuWLVu2bsnNzXv11VcffORhoiiECwlDMQlyZ8Z+NzUYxfkSTdOamhprqqsJISiUXFdXFzCMeDyualpnR0c8HscutwsXL9TX1QFAZmbm8OHDOe/hjL3G/Kxvt7QhQkLCi/z8/MWLF2Mh/vPuOFafdV2vratTVWXH9u17du95ZvXqb33rxfS0NFnFRnSLOO9mBqPov1AjDl2kZVnIlgwAR44caWxsnD59+sCBA5OZk13XDYfDhYWF+fn5M2bMGDhwIF5AeTHxyTJSV1UVNdYltwjmUwkhXjDEwOWOIyxIKK4b637lO985/tHJ4f1HPvv4CxOLp4Cl2g4wRwiPEq5khsMt7SKQ1XN3BO2FhT3/L4CTT2Q0ec9PgroSdxzgiuCUAWPgVjXUb9qz4e31b8fN7m/OXHbXzLs5I8zxIsEoMJqIJ8AjClGSIC8gxr0+PJqZkVXZeHnNtveOXTo6aeq46dOnJ4QtQHDgeNFwnaBOIB5FAPA1ydB/VXgUH5imifz2oVDoqh8lH8C+t/HNNzQkb5JyoJRSPH10Xe/xlr1y86hTj865rq7u4MGDBw8ezMnO+e53v/uNZ5/mCc4TMUXXAcCyLE3TJIP1HYhHb3bSewHEdd3Ll69cuXKFcR6LxY4cOfKd73wHuUV1XXccR7Ih1tXV1dXVUUVJTUkpLCyUFNO3UCOXb1/qNMVqMnZrnD139s0335w0adKi+xZdO6illJqG8fovX9+2ddtzzz332mt/rmSmKQlHjnHIB5gRvGnxqCQWwYZRpLvD5nrXdY8cOVJQUDB69GjM2OFewKdt2LDhL//yL//7f//vffv2leqmmM9zXVdRFLwITm9bLTLeJyP1HnHLRJzpQtNDKvE6Gzu/973v7Tywc2bJnD/+1p8WF46OdTjcYsLRwPUMGvAc0drNQyFFUDmFmtysSUAAUCEEAY8CiJ5eUg4AYDtgaJrlWd3dTlqG3m53rtn025+9+TMR9u6f/NCM6TOjkWhzY0uABjnniXhCpybVCJOqJwLgizuAz0KnlVXlb+34zdFLh+bNm/3dV789bcJEV7Ecx1J1NTlyNk0Ta3NIR3Dz7yAAQIp7zKx/5mr3nadvvknDqF6OoyBwPHf+3Jtvvjlj+ox58+aZpmklEpgxRXYXIURHZ8exY0c/WPtBZnrGH//whw8+tVyJuyyomRCIx+OKoqDrwK7T21hm6VYFo5h90TSttramrKxMcJ6Tnf3ggw92x7oppUbAcD1X13TLtgAgHou3NDdbiUR6evqgIYNTUlNlJkxVFcdx/a782xKPQlJHOSUUW3N0TW1vb8eCNQDRdc113V5FHNFQX/fue+8d3L//5Ze+9ad/+qeGYZC4DUltOskPbnJIgT3TUmsOE5mEkIsXLx4/fnz8+PH9+vXDXYA9oHjRbNuOxWIvv/yyqqr9+/efOHHigw8+OHHixHA4LKeUMIWcrBsJvbV7aWm6DQqzwKppi//ZX762bv36iSkzFgxb3FDR2Nq9A1ROba7aFAR4mhCUcKqQGBH8dyUjPyWFJOK6aGHU5SzFVQLi+MWjbx34taE6d+cvWTBiEVhGp20r3VHGCVOEJnSwGRc9U/mA1XkCQDkQIJRf9beE/HOuxrpV20uEUwzQbZfEzDTVhc6Y1/HBrl+drDxw96I5r7zyzPhxxa4S172g3mUAgBNMyNAFV87XwU191XxDcj+JXK4YKkiWWdn6jGE59rHhm8SoDO9sKBSSOVEZmWADDE5dyMcyU578ru7Ys9M3367ODhAwAjrnjHkugkvbSqiq0tHe9sEHH2zcuLGgoOB73/veNx5+SI3bnucZcQ6E4Lwp7qCbP4K9Q8GormuM8abGxrLS0rb29kgkUlJSsnTpUnnDbNuWkxZHjhwpLy+vqKhIS0srKCjAApmvZXc773xKsRiKZ/+QwUO++73vYnBpW4lgMIjKbI7jWJYlacAbGxs3bNhw6uTJ1atXv/jii7IifyseqMlqqLZto8gHZkb37dtXXl7+2GOPyZEsvEpNTU0bNmwoLy8/cuTI5cuXT548eeTIkUOHDqG0+ooVKzIyMmSp6AskxkiCsYq25g+2bl733pqE5R11Dpa+cwlU4iqOEIyCoIIDgADKCRVA4XcNFn2mcaFQDlQIThkNU9u1o25k0eQl0wfN1RTNAwS4pHfmiYDgQIickfrEReO0F48SEL2S9AIAgHFGVT0jNb26qSIrJ2qGAo7b4RDr12//8vC5AwvuveeF518YN25sCAxgENcSluukkJQbk0FMhqHyvstUzX/9r//1/PnzeOMsy+rXr9/9998/ZcoUrAshKr1qFk22dnDOKysrf/nLX546derHP/5xenq67F3D1vx/+Id/6OjoWLp06aRJk/D7jDHbtk+ePPkf/sN/ePLJJ5csWRKJRHyP5Nsdcu5cVaYHgKFDhn7ve98LaBrOj0aj0c7OTl3Xg8FgU1PTunXr9u/fP3LkyOXLl993331IDyfLTX4gdwuAUce2gdCmpqaGxkbOeUpqamG/fimpqRjfe54XDIXQwxJCGhobqqurbdvOzs4eMniIrmuyZ9SHo7drWhTPVOwQbWxsPHLkcN+CgjElY0KhkGVZ8Xg8Go3iUkHGokuXLm3fvv38+fPf/OY3X3jhBdRqutV9AaIKdG2SYWDTpk1DhgwZPHhwsn59R0fH9u3b33777X/+53/OysrKzs4eO3bsww8/XFdX98///M+dnZ1dXV2pqamyMfR3D3V2qGBQz6GllyrtuHh03pO8XlgxVwS5mq4oKhBPEEeAAKESoVDOKDACypfekMwTuqMoHEiqqLTLzleeK+jTb/bkuRGeZQMHAP75+h2EfJJtlIDg9OMv8V9BEfAxxW3r7srNyyCao+jQ0db+3qY3j5z7aP68+atXrR4zrgSoaOedetCgTDG1gCfcG3OXk+fqkhUChRCnTp1as2aNaZrFxcWRSKSxsXH37t0ffvjh8uXLV61alVwRknlNbMaQedDa2todO3YoiiIZRqXQbk1NzcmTJ6PRqPwt13WxTfn48eNHjx59/vnn/aKTb3eOYbVWcjAjJG1oaDh69MiQwYP79+8fDocxAxIMBhsbG9etW7dr167CwsKVK1cuWrQItxK+gk9SccuAURCgampNTU1tTS1nLCUlOnDgQBxPwQPYMAKexzCzVVNd3dzcRAjJyclBcp/kWRb/lt+WYBTTRTjb2NTctHfv3ilTpo4pGYPVQ+x3xNql53mlpaWbN2+uqKhYtGjRqlWrcnJy8Bdl7fJWdIucc8dxVFXFrFhXV1ckEjly5EhFRQUyVcnBT0ppV1fXhQsXWltbc3Nzkb8pFAplZmZmZGRkZWWlpKREo1FZYv4i9CIuMWgX6DzIEhBQw48vejrYEhWe4FHgUUYoI44gNvSAUUo5o+ARQr70QCE1VOhi1GWQ6W69vKGqpUpR1YBmxlpiSjT4cZ0dBBBBevpNxceqTvjvJwemPsajH3+H0QAEVVUxeLfd1dnY8t6GN45cOXDfontXPfVkydixuqIx4uq6xjm3PTtIwglmBW6UF/28XPXFixcbGhqeeuqp++67LyMjIx6P/+pXv3rrrbeOHz8upQuRYqZH+ba3n1XOSbS2ttbW1s6YMcMwjGROb0JIRUVFR0fHsGHD+vTpg9+U+deqqirP80aPHo11Rt98u3OSIMldT0KIpuamPXv2BnR9yJAhONASjUZra2u3bNmyb9++gQMHLl++fP78+SkpKVjOlc2mPjK5NcAoVVXOeVlZWW1NjRAiPS19WHEx1u57Gp4I5dzlnDfU11dVV8dj8XAknJOXm5qWhuUpTJr6lfrbNUJF0Il3uW/fvkuWPJidnU0IcRzHMAxKaSKRwC66S5cubdmypaam5p577nn66aexeI0gVYa5t6JbhN6RbRyawQTwz372s1gsNmTIkMzMzJ6tRCmON82cOfPChQvf+ta3Zs+e3bdvX5zxjMfjgwYNmjhxoqQjhS9GMEk9hblc4YpwCHMhO6Vv2EvVacANchYVVBHUFuAAEcAVKhTCGSEu0C9fptei1NbiChOQ5QWrUrgHQhBKdV2jDJGoSM6D9gw/kavK9OIqJErEVd9RPKF7SkDxCGvpql+39d0jFw/NnjvrqZVPji0ZEzFCnuIRqplBp8sxKROuAOWG93gly43i4wsXLti2PXXq1JKSEgwhBg4ciFO9stpOKUXZ2Lq6uvT09GHDhg0fPhxr67Ztt7e3K4pSVFSE3hLBKCEkkUhUVla2tbWlpqamp6fjSyHfQiKROHHiRE5OTlovDYVvvt0h5jhOcjc2APTtW7DkgQcKCvoahtHe3p6SktLa2rphw4b9+/cPGDDgySefnDdvXkZGxqd7vn27NcAoIaSttbW8vLytvT0YDOb16ZOXl2fbDhabGGOu52Hip7SstLG+wfO8rKzswsJC/Kk8U/0bfxsHqTKHZwSMjIyMcDhMKdUMA1OGmPW8ePHili1b6uvr586du2zZsn79+mG3nKqqyVXsWxSRXzV3RQi55557pk+fXlxcLLurcReYpllSUrJ69eorV64YhtHU1MQYy8rKopQWFBQUFhZKJoHkoP8aV4YBAU6BE+CqEIoGprBVoQCjROiEKwRsQSwQgggVuEKAgXDhy2NRsDXBHSWgEAAqPFV4KnDN84QisA+VfGrmSRAKvWP7VJbjP2bU/yxTVEpCvDPe1hVr37Zvw+HzB+ctmPPsqlXjRpeEDFMozGBut0I64oqie9TQPA5q3AQ9cYNh6FWH2alTpwzDSE9Pxwb6rq6uxsZGAEhNTcU8qG3bH3300RtvvFFTU5ORkVFXVxcMBh955JHZs2dnZWW1tbXV1taGQqFhw4Zh87Tsh1MUpbKyEgAyMzOxziD1DoQQp0+fHj9+/NcxreWbbzfzoSPV7OTGNIxAZlYmDoCapllfX79x48b9+/fn5+cvW7bsnnvuycjIgN6J2E9vYd9udjBKKa2qqqqpqXEdJys/v6ioSHIoSqIZDDUuXbzU0tICAIUFBQMHDJTtblij96mdblenIHtGse9tw/r1o0tK+vTpQylFvgxFUcrLy7dt21ZZWXnXXXctW7Zs6NCh+CtyTjyRSCCJ5q1+QaRI3cMPPwyfJCpHzlQUH589e/bMmTPr6ups2xZCFBQUYAFX+ser8Oi1dihXBOeeLbgnAKgKOhWqZwEoBBwQCgibCAsAQHjAFQAOxIProP1lNihcJ0CExwRTBKdCUMGhN+T81BsDIYAAxWwoRzzag0Q/1nr6pBIpEUTlELBbG+t37Nt66Mz+SdPGv/jc8xPGjzcCitAtpgHXgDoKBy4YASLABU+AcqNWu1yisuYDALZtX7hwITU1tbW1tbKysr29/eDBg9u3by8qKpozZw4hxLKso0eP/uM//mN7e/vDDz9cVFRUWlr685///Le//W1BQUFOTk5LS0tlZaVhGEVFRdDbV4o1B03T6uvrMzIycnNzkbcB34nnebW1tR0dHUOHDr2T5399uzPPHUkzIjXMamtqN27YOGXK5NTU1Fgstn379p07d/bv33/FihX33HNPWloahnacc5TeRUTr751bBowKIUpLS5uaGrETtH///kIITVNlCR79pm3b58+da25pBoC+BQVFRUVIQSpVDfBpfrH+NrOr4CP2leOqcByGj8vLyzdv3lxTUzN79uzHH398yJAh0KvDJE/W20CgC3l/oFexE3opn+RQPEIZ/MjoQDMzM7F1SV69z+yuljMun+c+CAcCoFAihOe5rg6GZTPVUIARIUC4QFgP/iMCOAfwPk3c9LtNEQQYsW2mukA45UIIQlRFZz0v/MmVgNykhAP0DtTzJADa8+c/WbCnAgi4YDU1l+05suPIuQOTZ457afUrEydOiKimrXeQgKCUe4IyRahAuSACADTg9g31h8lZcKToam5ubmxsDIfDb7/9NhYH6+rqMjMzH3jggRkzZhBCmpubf/nLX16+fPmv/uqvFi1aJISorKxcs2ZNe3u7bduU0ubm5srKStRBkMPyPVOhDQ0tLS05OTmy3wNXVCwWO3nypKqqw4cPv/YK8c2328ySzwvpXSkhmqa5rtve3r5jx44dO3YUFhY+/fTTCxYsyMrKQhkRSKLC8BNkNykYlUdmclZGCGFb1sVLF+sbGqiiZGZm5ObmYrwuEwPoOquqqsrLy7u7Y8FgMDcnJz0jA3pp9uQz/c7R2xKMSq5EIUReXt7i++83DAPvvqZpFRUVmzZtKisrmz9//sqVK4cMGSJT5nLyiVIaCARu0bUh0/+ccxxwhl6mumRuJuhlv5K1V6S1lwqfn8cwIgerP9dvEpcqQqdUN1QCTDCHkqRsowAiQPZwcgGKABBAv7zXIRyYB8zhKqOkp+wuOAchsBGUSDT08RslghAQVyHfnvyoAIIAlBAqgHJBmce8ppbqPee37Tuye+LUcT/87g+nlExRFQZKp9C4QkFVgHvEFdxTieapCVOHDoWSG+0nk4v1tm2fP3+eMZaamlpbW3vlypUrV67k5uauWLHiG9/4hqZpsVjs/PnzW7Zs6devX2pq6t69e9vb248dO0YImTNnTv/+/QGgsbGxtra2pKQkNzdXbitcHmfOnGlvbx86dGhGRoZMArmum0gkLly4QCmdMmWKn93x7Y4yTdOwGxuTGpjOyM7NmT5zBnD+0UcfrV+/Picn55lnnlm8eHFaWhr08rJhUgzzYljW8y/mzQVGMRDHcxQ9LGZ3Ojo6yssrTp442dHWrihKImF1dHZYiUQ4EkHwQSm1LKuurnbD+vX1DQ2UkGAoKAA6Ozr0QADnV2QOzEeit2WEinAKj8l4PF5aWpqXl5efn+86dk1Nzdq1ay9dunTfffc99dRTgwYNgk9NiMt28ls6SEU8DUnU9J/3iaRyEj5TTkxf9SufTo5+PkhkRPMI8wj1gHBVFUCEpqriM6lEsUhOAL78uIvrAmWggMY8zj0AIIJjUKpyuAqEJv9FQaAHj8pZJYLUokRwYKqmAuVCYYzbdc21+05uPVZ6aMr0Cd956bsTxk8E4gIhdkjoBqOMAhBTFSZAwjEAADqUFA8SN3DhYOiV3Aes6/pHH30khFi1atW4ceO6urp++tOfHj16tLa2Fj1qe3v70aNHu7q6PM/7yU9+AgCWZTHG5s6diyV7z/Oam5sTiQRuEPSW+Cccx7ly5UpXV1d+fj6C0Z4zQ1Vt275y5UokEunfv78/veTbnZYEkeoPOJqCDzrbOy5evHDo0KG0tLSXXnrpgQceiEajEnhIomu4FbRU7lAwil0UmL9EySXkib1w4cLatetaWlr65OeDEG3tbQcOHIhGoqNGj0bOWELIpYsXd+zYsX//fs55bm4uEHLh4oUDBw7079+/qH//tNRUzrntOEi1IJeCb7eHJSfUFUWpq69bt27d7Nmzhg8f3traumPHjjNnzixZsuS5557r27evX0n8ehxzAqhHuUsUBsBB4YRyqgAjlFAEsgKvOidAKOZfgWhfPjLkBHqTrJ88GD77bfWkTK9eMT0IVSGEqNTmtqJToXCbWy2dDftPb99/eufEaSN+8P0/njZukgUJgxiQGnMdLhyV6CLACAAknE/QGJkAzg1z1qoKvQyg0Nu7eezYMV3XJ02aNHr0aCFEXV1dVVVVaWlpVVVVv379uru7GxoaAoHAN77xDRTOHjFiRFFRUSQSMU2Tc97U1NTY2BiNRgcMGCDBKI4xGYZRWlra3t6enZ2dmpqafBLX19dfvHhx9OjRjDFUR/S3gm93iMViMUxwIq5AJGolrM7uro8++sgwjFdfffXxxx8PBAKSlcK/aLcGGFUUJRgMBoNB9GiO43R2dra0tDQ0NAwZOrhfUZHruoZhqJpKKW1tbW1qbMzKzjaMwKVLly9fvpyamrpw4ULktUH5mZaWlkg0Ek2JUkoxD6Truq5ptuP4+dHbyWzbVhQlFA4zxjra23Oyc5YsWZKRmVFTU7Np44bdu3c/8cQTL774Yn5+vtQ/9IsjX7X/YKC4hAskVMLOS0IBKBDSS/ZJBQiglAgqgBAhCNAvvQ0Jw1xrEhpF5ibSO0kvPgE6JSPnx3pPSfV6VzgBTTc1nVHHCGn19fUbdr9/7MJHJVOKX/jWi7PGzrA0S3CAaCzhaGHd7bCFSmiAColE9YSp8+uhBbhuk9QQ6DMxuHJd99KlS0gTiz8dP358fn7+5cuXr1y5MnDgQCFEZ2dnamrq888/r+t6d3d3OByWmBKpZ5uamlJSUpBiQrZzQNJwhuu6Ml9ACKmrq9u+fbtt2wsXLkwkEtFo1D9ufbujDBNbjuPggdLS2nrgwIFdu3YGg8EXXnhh1apVAGBZFs7FyvkE3252MIoF1vb2duSGDAaDlNKioqLMzMyAGdRU1XFdTVMpoV3d3UKIYDCIjrKoqCgnO9sMBnVd8zxGKVUo5YIzhn2iAACcC8aY18sA5d/v28w0TYvHYrZtp6SkpKWnB4yA63ofrFmzccP6VatWvfrqq3l5ebZtY0HT9whfg1cWPcNCtBf7UeCyZE4EVUQP9FQFKCA8ShUhruM+EAk7Ra/oJwcqBAVKhAD+sQIT78Gj+N8nwk8KwAEoBLQAAyscMrvd+MWKi1v2rD9y/sPJ0yf88Hs/mDV5gqVatmenpIq4wru6ukU0yFQuQEs4ikSicGORKABgJwYiSKwSAkB3d3ddXd28efNM00Qd+XA4bBhGLBZrb2/3PC8YDKampsbj8f3796OYp+M4tm0bhoE5m6qqqoqKimAwaBhGd3c3YlwkqbBtOysrKxgMnj59+sqVK6gkwhi7ePHiG2+8kZ2d/dxzzxFCuru7pW6Tb77d9oaz0ZZlUUpN02xsaty5Y8f2bdsCgcD3v/9HK1euBIBEImGaJrYg4sb0r9stAEYJIYZhBAIBHKqwbRtRaSQSsRw3YVmqqjqOi7nPQCCgUGo7juM4qSkppmEwzlzXw8A94XmoK4PoE3Ol2C/Mr4NOxreb2zAzhMXHeDx+7Nix//UP/yugB7q6upYvX/4f/+N/DIVCiUQCM+6+U/h6wCjBFCjvlTzqTYeCAEIAONblsWGTEqJwQoDzL98wQ4AQQQkjVFDKCeESmApCgAJwDpQCBwEgBKFCgKASiX4MSSkQKhhxHWZ7ROmyWzftXnvo1J7psyd/+5WXZ02YBiKhCKIEtISjEIBAdpwkdJMlHUXJSFR8Tq/q1xO0Iz8XlghRIPvy5ctdXV19+vTBVI0QIicnJz09fffu3VVVVSiNXVhY2NXV9Rd/8RdPPfXU0KFDL168eOjQoW984xuTJ08Oh8NtbW2NjY0tLS1/8zd/43lePB4PhUKzZ89+6qmnMjIy7r777nXr1v3bv/3b+fPnR40apWnauXPnduzYMXny5L/5m7/BN4apVt98u0NMct0bhtHR0bFj+46169ZmZ2W/8soriESx/oDaK34h7lYCo1gGchzH8zxsrseQPR6PG8FgPJ5AoIlMPSioEwoGQ6FQLBbr6uwMhcOmYSDIQB4vfAVd1wCAMY4D+F9E29C3W8swdEGlbEqpoiqmYQohnl29+i/+4jWMX1GxHWslftvoV28JFSjjggKnAJSDIgQF3pOeFEBEz/96uzsxN8m+9F1QhCCEAxVAOaDWvES/n+1Wesv6HIDTZFALBKgqgoZxpfL8um3vnrty4u4Fc1946dkpM8ZYSitnQUIBhyNFWhRA98DhDKhG3ICW0qokI1EFblyIiwlL9I0YXcdisZaWloEDBz700EPhcBiXt67ro0aNOn/+PDKMpqamPvroo4yxX/ziF3/913+Nyc5JkyZlZmaGQiGEkkOHDq2urm5vb9d1PRwOd3R0YBO2ZVnDhw//u7/7u7Vr165fv/7DDz8Mh8P9+vV74YUXHn/88eHDh0NSLdLfCr7dIYYiZKFwuLKycs377+/avaugoOBbL37r0cceBQDHcSQS9XupbzEwio1Kpmnquq5pmmEYmMFyXde2HU3TVFXxPCaE0DVNVRXbdrq6uwEgEg5rGemcC8u2hRCBgK5QBceVCCFCUEySo4I54lS/Z/R2Msuy8Ax2HKehoeHQoUOapj2w5IGXX30VxREkh6gPQ79GY4SBIoACKJyrgvegNdFbLhc9Cp0CALigRIBgX95LKIIQQYRAuSecjcdbSiiHZOJ5ca1hfUIEUK4ZWkXtxc27NpwoOzJ+8ugnV62YOK0kHGLASIIRxpjphIhKu1s6NU2BgE4puJaR0p3Us4pIVNAbVq1HAi98jDUfbJfHgSTLskKhEJKHPPLIIwsXLjRNE3Vuc3JyULY+EAjE43H8xYyMDNwa06ZNGzlypGxCRfF6wzBSUlIwisPXX716tWx30XU9PT0dXTc2D/jm251jWJSoq6vbtWvX4Y8+6tu373PPPvfQQw9yIwVYXJ442H6dSCQ0TfNVym4NMIp+FjOjnudhs7yu64FAgPWMdjJsAXZcF8lNMOnleh4GH0iJ53nMFR4mzDBzkMxn7iPR28+QZJgQUlFRsXHTxrLS0gcffPD5F17IzcnDamZywONfrq/HTI8oRMRBECCkp0czacpIFushme3py4NRRJukl96efMwuKuDjGaXeP8o/Jjr9LEAKtXXVv9305unqIwsWzHvyyeXjJ480TQIKY1ylQmGCJKhNXSMQ4FxopFtj1KXs0xX5G7qoMFuJLHiSJRc1PKVEJ/6bkpKCQZpskk5LS8NxeEScuDvQH6akpESjUegl8LpK6pAxZpomtuknU5zi34rH48Fg0Pervt1RRghp72jftm3bnj178vPzn3r66cWLF6lZ6cIGAECqH2QhxRbE3ymq7NtNBEYxIpfwER0iJj2SJQ1ltV3iS0kj+pkUiVfJJPh2i+58AsJxXSMQsG2HUGIahmXbggtFoczzysvLt2zZXF5etnDBgmeffbZvUT9FCAQvn7kYfqfhakHOGuTDT6YZl0e+71wAABghnsopA4MD50qCUwZcB6EDMAAHgKOPIcAAXCAKCO16eEaZR4SrCEKo4FxRiE4IBVAEoZxiwV4QAiAogAqCCtAE2BphOieMga0EBNGZUB0SYJ1Wyxvv//x05fG5985e9eyK8ePHR0zDc52ErVOqqFyLKRCktiYg4AYRc3ZQDSjAJ/EoE+RGQlLZiYSFI8kLIb+f7CoRrV61/qX/TM7TfHoZJ1PgJUt2yTWP/0p2W998u/2Mcw6Cq6qmKIpt29gl2NXVGY1GGxoatmzevHfP7j55eU8+uXLxovtSU1JYRzdLCZNEjwye3CyS4/wqhgpkd1FVVdI/+cfKzQJGP40mhUAiGAGfouOW4BJ9paxeXfVTH4neBiY454JrqkopVVXF8zzbtgkAVagQoq6udteundXV1QsXLFy5cmXfvn1VnCr58lsae5cxopVHMi6eeDxeXl5eWlpaUVGBI3HRaHTq1KmFhYV+sAAciAJC4QCCME4EEBWIAiAAGBAQqJdEUJWeQs+80Zc1j3ABBKhADvseVCQABPYAEBD4DKEISgEE8QQw21U0CIQNqjsutYwIqW+vfXvtr09dOTx3wV3PPbdq/IQSPaDbwBUe4FzRPc0JJkwAAeCoCfnHkc/JuTlc5eeByN8Zen3e736RmO0z/9ynIa9vvt0eplAKQDhnjHmqqmCp1TTNpqamrVu3Hti/Py8vb8WKFffdd19aWlrPmErCSYYlV+0dKQSKuBP50QDAcZz29vZwOLxgwYJ+/frJAsUdCEz9US/fbmqjCqVEQY6FSCSCHaKRSMR13bKysp07d9bU1MybN2/58uWDBw/G3e553vX16EiqWjn5FI/Hu7q6tm3bdvz48QkTJhQVFamqev78+U2bNl24cEGK3ft2A0CvZBXtzUUSIQgRVHAQHLEoAQHABQD2qjKiUUWngriCekQTFdXlOw5u/PD4gVmzpj/33HMTJ0wIaCojXKUqAUKBWYpLwYdWvvl2x/sbQlD9QerumqaZSCQ2bNiwZ8+enJycxx9//N5770XdeXzytTMdmDIjhDQ3N+/YsePYsWOFhYWDBw9GzYg333zz7NmzzzzzTElJyR1b1vfBqG83PQghBIfSsCsDSRDLy8u3bt1aVVU1a9aspUuXDh48+Ko+0euJhhVFxqOu68bj8YqKio0bN+7evfv++++fPHkypkJLS0svX77c1NQ0YcIEH4zesHXQOz4PPVhTAAgCHP/FEX4Eo1QAJxwUVSgqVTRwIeEwq7mtbv3OD45fOjRz1vSXXnpp0sRJukY54YqmM86AM8IDnPbI3vvmm293sgkQnPdw7uIMdHNz8549e3bs2JGXl7ds2bJFixZlZmZiMe0LMtt7nldWVvbee+8dOHBg/Pjx8+fPR9mz3bt319fXHz16dMaMGSUlJcm9iD4Y9c23m8U8xoTLkNM7Ho9jx9vly5c3b95cXl4+d+7cZcuWDR06FBuOkUz0+iApehPZiofq27/61a/27NkzZ86cp59+Wjqdzs5Oz/NCoZDfM3fjjH7cafoxmxPmRBkVDEBQnIvCdClwQTUh1AToVFWgsrpy90dbTl84PnzssG+/+p2Z06ZTlbjCVjVVAHgeJ4QoXCNcAz3hX2zffPNNyk3jcbB9+/YtW7bk5+c/9dRTixYtys7ORgUmrMIlj/195ksRQsrLy//f//t/W7dunThx4tNPP923b19MoNTX11NK8/LyUKH3Gq04Phj1zbc/aIwKgNlQx3FCoVBFRcXmzZuvXLkyd+7cFStWFBcXI+uNpmk4dXR9YBTTrtDbwdzQ0LB+/fq33nqrpKTku9/9biAQcBwHX3zixIkdHR1FRUWDBg3yb88NMgJAP0kqKojghDDCKQFBOSdEEKSPQnVQVedMcxzwmlsa9h7ZeuTsh2PGjX7+hdV3TZurE9ZN45pKuMYEI0pAA0rsBAgBIf9S++abbwJwMNq27ba2tiNHjqxfvz4rK2v16tWLFy9Gbgo5qISp02vj2ubm5k2bNr399tuFhYUvvPBC3759saNMUZQRI0Y89NBDqampxcXFiGsxJ+KDUd98u4mMUgqEID+iaZr19fVr1qy5dOnSggULnn322YEDBybTKSiK4nne7/vnAOLx+O7du3/zm99kZGQsWbIkOzsbf+S6LmNs5syZc+bM8QfqbzQY/fTwOgfBe4v1nIAgBEQv+ZMQqquYXl1d1ba9mw6fPjSsZNALLz67aN5irtiualODEMNjMQUII5QzplFiU+ELxvrmm2/AOAcgqqq2t7cfOHBgzZo1wWDwpZdeWrRoUTQaxUNHDhvB78piEkIOHz68Zs0axtikSZNGjhyJ30fJ0NGjR48YMQKSRrHvzJ5R3/n6dnMHqLyH50tV1cbGxvfff//ChQuzZs167rnnBg0ahI2kybOH1y1AzxiT+7+iouLAgQOVlZV9+vR58MEHsV5jWZZhGJqmOY7jOI5/a/4AYLRXnx5TF59QqhcgBAgKQAWhjFDhgVXVeHn3R1vOlB4bNW7ot5791vy581WFWzQGQaZTDwCUkEcU5nmCuy4Il2q+aLBvvvkGQnDHcerr6w8cOLB79+5oNPryyy8/9thj6enpUmn8Kt7Ja7xaS0vLnj17Dh06NGTIkIceesi2bejNgEroiTwtlFJMsrque6ddcz8z+lWt3c8NjyRUwgefOSsnGaqT1/QXWeW32TX8TAYZbMqpra1du3btvn37vvnNb37ve9/Lzc29imIWeulmri+sRMo3dAQnT55E8cOCgoLMzEx0DUgkblmWaZqfCXlvuXD2qjeczISXzOx7s8BRAj2U+qJnfB5njXp1gwShglIQlAuVC2DtiZZdH27be2TPuIkl33vlu/OnL1AV7pqdpsE1AnFPeB7hKgGqgQ4iZJK2eFdHhwAXlwGSvX/m9fmybkEIkUgkAMAwjKtWrG+fXnWf5ySvcgs+Z59vX9UKlMgy6bymXV3tR48e3bx5s6Io3//+95988knLsgAARwU+zb50jRV75syZs2fPAkBGRsaIESNM08SOL9u2A4EAjjog8yh6M13XHcdpa2uzLIsQEgqFUGL0+ryQD0Zvc0PeB+ilm5Z9HtjdKHESckOoqqoo1LadQEB3Xc91XV3XUXlPVVXGmOd5pmkAgOcx6WcVhQoBPfz/d8D1tG3bMAzOOUpwIQTE69za2vrb3/52165dTz311J/+6Z9mZGTAF+NN/FImPUJdXV1VVVVubu6YMWPwR7KAIhU1kg9F/NKyrGAw+EXGKv+wnle6UcdxUDESPwXKWaHMD14KbGm6GRoSCL2a1Onjn1CqB81YW5vCqRkKMI25YLV3Nq/d+9ZHF3ZOnDLxe698b/70+QrhthH3iBsiAEBYAIQD1FWE4zEXuNtZXV11+MiRixfPVVdXp6WljRs3bvHixcgmhlfgKlbq5DXweW+bMea6bmtr644dO4QQc+fOzcjI8MXccUNRVQUAJMqQHOCqqiqU2o4j809SDEUy8DPGdE1LWBae2ZIbGJ95lTaKj1l9u2aIS/C4kf1dSHGfSMQPHjy4bt06TdO++93vPvnkkwDweWoRv3M7l5aWlpWVBYPBPn36YFIDVyaeJnjMSSyL2manT59ev379wYMHNU1buHDhypUro9Eo9rBqmnbtFlUfjN5Z5jgOBjGEEFVVdE3jgjPGE4kEpTQtLb27u6u7qysjI0MI0dbejlPenscURdE0lXOBqx9FUCmltu2g+nMwGNQ01XHcWCx+3bPht5xhjIjnCuc8kUgoiqJpGiHQ3NrywQcffPjhh48//vhf//VfBwKBrwPwIfByXbe7u7u9vT0Wi+m6jgrdiEE/PkST/nRyEhGlERGS3szOF6+2oijIpSpjKl3XbdtGaXLXdWOxWEpKCkZKNxF+Ep8Q+RRCOI7V3RFLSUtTuBJz2sNpZl1z49vb//3IuV2z5k359quvzpk601OdBNg04oUYAYB2hStADJ0kOkFRaUVlxZtvvnXwwMGhQ4c8/MhDkyZNamlpeemlly5duvT9739f5kflAYDBJ+ccQ6Zr4C1CSFNT009/+tO///u/LyoqWrFihQ+Pei+OEEgVruuqoiiK4nou5wIAOru6TNMM6DrjHAMk9IGUEoUqjusiE7CiKKqigK5zzm3bxhFGTdMoJZwLnGWE36Nvx7c7JC0aDAaxbu44TiAQyMjMqKur27Jp85Ytmw3DePXVV1esWNGbHrpOCHjlypWqqqq+ffvm5uZifgpxreu6ruuappnsXWOx2AcffPCzn/1MUZTOzs6mpqY9e/asX7/+l7/8ZSQSuY1DWR+MXqeFQyHGmW07WICTSTVUyevoaCeERFOiHvM4F5FImBIKAPFEAuvOmGmTrBCKogR03TQMjzEhhOO4uEkIAc+7IzKjqWmpnR2d7R3tKdEUXdfxpFc17fKlS+vXrT148OADDzzw3/7bf0NZNszqoTTiV/UG8A5qmtbY2NjQ0KDrOmOso6MDzznsNJfkxrZtyyBBVdVYLFZWVua67rhx4yRsvWmdLwBIjybF6DzPQw5Xz/NaWlqEEBkZGZgoxStzs8HQHqOCqiSSErbdbs54OMW8Un1+7ZZ3T5Qemj5v0ksvf2vGtBlcYa5gUSDAKAB0Ck49qquEJ4Ikmvho+9F/+F//0NTYvGzZ8vsXL07NSEEW28OHD+/evfuZZ57B0AJr97ht8ZpgMiNZAv7qt0YpAJw6depf/uVfsrOzn3rqqVgsFgqF/LQoAAQCOlEoY9y27UQvqxqKTaREo7bjxOJxRVF0XaOEeoxhmKQoSiAQiITDQgiPsXgigRnTUDAoQDDGhRCeh6UpjmG/63r+1fbt8yJzwzTb29qEENFoFIPM2trarVu2bty0MSUaXbly5dKlS7Ha+XueNYyxeDyeSCSQuBRH6bEUkFxBBYCtW7eWlZX94z/+Y15eHor/vfzyyydOnDh9+vTkyZNl2coHo771WHcshr3GgYBOCSWEMM4QOKIrNIwA56Kzo90MBkPBYFd3N0bz8ujC4980jaBpMs4ZZ47jIiCQ2Zc7J6x3bEcIETSDOLSOh9PlS5c2bFh/4sSJhx566LXXXguFQhhKYgrk63gbnucVFhYWFBRgCTsjIwOzX5ggRJR84MCBAQMG5OXlyUD23LlzmzZtqq6u/p//83/e5OSjyVVmvJKEkK6urv379588ebKurq6srKylpeWuu+567bXX4JOVqT8kEOWIRD8u1QMBoEJRgRqKoJ4WUpgryusv/nbTr0+VHZkxbcqLLzwzbfoUQYXDHSOkx4HHO73MqOqqBgBoCQUA1ry+7ic/+YmqaM+tfu7ehfdGg1FGvcbGxnXr1rW3tw8ePBiZ/xBZSgFM6OX/unaOk3Mei8VaWlpc101LS3v00UcR19q2jTnpO9l/Oo4jCMHMKCFEVRQBwnU9IxCIxePYNieEcF0Pg0BN00zToIS6nheLx13XDQQCiEQZY47jYB5a13Up5Ms5v0Mied+uOzKPdXdTSg3DwC6RxqamPbt379ixIysra/Uzzzz66KOmaWIMCV+sM+czraCgoLCwMJFIYFIfXwEjf1VVN23aVFxcnJGRgYiiuLg4Pz9/4MCBABCNRiml8+fP/8UvfnH48OEhQ4bk5OTcrq7DL2Fcd2QfwIKy63qWbXfHYvF4As8tBJGMcU1VcYV1x2Kmaei6HjRNLCoFdD0SDhNCbNvp7OqyLMtxXDz7dU2TBGZ3zvWMx+OBQAArJlhxKy8vX7tu7fnz5++///4f/OAH2dnZuHVxnv0rn63BEEJVVdM0CwoK+vbtW11dvW/fPvn2NE1rbW396U9/ikkybDbHX4lEIpqm9enTB3uPZIPpTeuC8c3LKxkMBidOnDhv3jzP8/bu3dvQ0GAYBkbtCNBvVmQNRAGi8PZYa0pGuCPR9Ma6X5wvPTlr9tTnnn96ypTJhqoLwpVAIKC5niJ0TUs4pgpOMKEkEomzZ8+++867ZZfLpk2eMmPa9FAgjBcnHA5PmDBh+fLl3/nOd8LhMMIdCUBxg2OPOPY7XgP319TUHDlyJBKJjBkzBvMcUmn2DvefqqZiICSEsG3bsm3X9RzH8ZjX2zyqYPu4qqpGIICNTJZtY4nTNE1VVTWth4vRNI1QKGgYBpan5Jyyb779bgxEKS6Yjs6O3bt2bd+2LTcn54XnX1iyZEk0GkW5zqsG7L7sn8ACfUdHR2lpaXV1NfoZXNtvvvlmTU2Nqqo4ycQ5LyoqGjFihKqqGFZFo9GJEydyzlNSUnCF37Y+wV+L15thAklai6QMuKwVhSoKtSxbMqhjuMO5QBCDXpILjm2juq7jjC1mqqCXff2LKN7eToZJR2yfVRTl0qVLmzZvqqyouPvuu1/8JEVwcvL4K9yZEmoQQsaMGXP33Xe/995727dv/0//6T/Nnz/fNM2qqqpTp07l5OQMGDAgLS0NPQVmy9rb28vKyhYvXpz8Ojez4UrDrlysGQWDwYEDB2ZkZFiWVVhYOGfOHOjt5b8pmuVF8n89TKI9AqEKmKHApcrzb733q1PlR+fMm/H8i89Mmjg+xQwxIihRCIXuhC7CDuVBmyskHkwENerxN37zxqFDh8aPHX/X7LtyMnM1gdP6oCjKzJkzR4wYIe+ybPCSfQv4pn7nlTl//vyWLVuysrLuvfdeQsjX1O58iyalGPPkpBF2hycSzPNYOBRyPc91GV5t27axK0aO1gkhcB7UNAwmPEJIPJ7A9npMiMoaFGJT/2r79nmGUimc89a21u3btu/etSs7J2f5ihX3LbovPT3dcRysjEkmnOv7K2PGjJkzZ055efmhQ4d+9KMfLV68OCcnp7a29v333x89evScOXOwc49SalmWqqo4yCtbwi5evEgImTRpkqQ49cv0viUf5x7WknCNJhKJ+vq68rLy7u5uJG5AN6ppWklJSSQaPXXyZFdXlwSvSFSZmZk5YMCAnNwcy7KbGhvLK8pbW1rRkxqGEYlECgsLs7Kz75DDCfsXKaVlZWVbt22tKC+fMXMmMttjsiR5xyIdwVebGZXECAMGDFixYkVqauq+ffs+/PDD+vr6YDDYt2/fsWPHDh8+PD09XbYPolNoaWlpa2sbO3ZsciX3JnfByS2PGE01NDS0trYCQGpq6tChQzEuunkcHxFXt40SAlxw27JavbY1W989cvHg5KkTnnpm+cQpY9OzQTgWiYcVyoGBEADdpsc9wR0aMKFDOXfm1L49+xLxxORJk4cOHaaDRphglHPOA4GAYRjhcBhjHtnMIG86AHieh5Ne1zif2tvbL126VF1dPWHChFmzZkke3NuYnOVLbDcBvYWOnux7a0vLmbNn4rG4ruuJRIIQYpom/igSjQzoPyCvTx8AaKivv3T5UjwWb25pzs3Nc2wbgUJ2dnZBQUFaejpGDpQSxjh2lvunlW+fd+gkEolgMNjQ2LB3z57du3dnZmauWLFiwcKFKb0aS9Bb6sTA5vqWU3Z29qOPPpqdnb158+bDhw8LIUzTTE1NnTt37ogRI1C6BZcxdqdIJGpZ1oULF959990/+qM/6tev3+3tNHwwev3YBQNxWTt2HbeysvKjwx/V1dRSRUlJSenfv6ikZAzCJk3TWttad+3c2dDQiF8OGzZs3vx5hBDOe5qirIR1/Pix06fPWLY1dMjQmTNnFhQU3Dl+AY/8srKyLZs3V1VVzbnrrmVPLBs4cIjkgZNz619HB7eUA6WUhkKhkpKSzMzMadOmxeNxxpimaYWFhcOHD8eYNTlKbmtra2xsTElJyc3NvYqy7mbNSPUopkpoha62vLy8srIyLS1t4MCB2M6P5/pNwjYqPutLJryGlsYNJ9Z+eG7f1MmTX3z+mSnTJ6Sla6pwXQBXcOFxnajEC4BuUaEAEa6lGRy2b9teWVUVDkWKiooyoumEc6z6U8qSc9ty4EAmJDjnXV1dpaWljLFx48Zd43AqKys7depUWlra5MmTs7KycNncxvMHXy4cUhSs/zDWMxNGKU3EEy2tLVs2b4nH48zzVFXNzcsdOXLUmDFj8JDGE7qlueXipYs7tm8PhyOu44TC4WnTpqWlpWFjCSa6sNPJT0L7dq34lhBKaVt72+5du3ft2pWbk/PEsmULFi7Mzs4ihCiUYiwkN/51LydN0wYPHpyZmTlixIjKykpd13Vdz8zMHD9+vKZpmKKCXsZT6Rw45/X19e+9997YsWNXrFiBfat+md63z8AusiSEfWC5ubnjxo2rqqratGGjEKKwsHDFyhX9+vXLyMz0PA+HIfbv33/p4sWu7u6Ro0YOHjJ44ICB4UgET6nMrKxBgwc1NjVu3LDRtu15c+cNHzE8LT39NrtonDHGmKIqMvHm2I6qqlwIhdJLly5t2bqlprp6xoyZK5YvLy4ZLRyePCyCl/3rmKpBMCr/ViAQGDBgwIABA5L/bs+e6W0SkP6isbFx8ODB0k1gfHLTeo1kzapkVI1gNC8vb+TIkRJjycKojAQ+wfZMFKYA69ZouwFAHc0LpwrCiZPwiKCUUQ6EqAIoCAGggqD4W1/+TTMQihAKEA60G5S4AsDjSkcXtG8/uf7Q2V0Tpo1+afVzM2dNT1PCTrvtgasR7unc4yAoD3DgruGoAAAqA0eD02dPd3Z3lIwanZWXLSh3iVBVhRAuLwtWNqC3Fo9ro76+/ty5c8ePHy8tLR0xYkRJSUky35M84bCX9MKFC0eOHCksLFywYIFMQvu9jL2rkKDMhJxTjqakjB07trGxce+ePceOHU0krKzMzHETxo8bN27AgAHRlBRcq6lpaSNGjlRV9ac/+anrupyxu++5Z1hxcf/+/cORCN4pbImWjAf+xfYNhKAKBQGcc0VVCBDbtlVNjcdj2CeakZmxfMXyRfctSs/MAA6qQnG9SUmk32f/ordMT0+fPn369OnTkWhcehV8cZzZlz6WUtrY2Lh+/XpK6be+9a3c3FzJiu+DUd+uXl6S5wWzTZFodOSoUeXl5ZFopKuzywyas2bNTiQSCqUeQDgSGT5iRMnokpPHT3THYn3y8kaPGp2dkyMxjaapffrk5+fn64HA1GnTFi1e1L//gNus4UlwDiBUVUEReeZ5VNMoJVh/rago37p1S3lZ2dy5c5ctW1ZcXKwwTtSPme2vu3/8i6O0ZN9x1ePPpNanlDY0NDQ1Nd133314CmIK52Zet1c9loz9ZWVlNTU1U6ZMGTp0qOyRklkB/FI2J+BvdVPKKRUJBVooIZSEgAMjCaJaXLiUMBAAghOigVBBqEBUAAJEXMfbBh4AahCggnd5EOMC3IZ41cGzew5f2TN+avGr33rxrplTI0rEA8IYBRFiigJqQgUQwB01oQCY+Fo6AEBVVaVt27l98oIh01UYIYTTjwXS5KmD3AiS6hKZX3bu3FlWVjZ06FB5Sl2VexZCNDY2njx5srm5ecqUKcOGDZNX268a9wQXrid6eZopJY7jUkoLCwsj0Whubp7gggCMmzB+yQNLho8YgS3OhIAQYBiBwYMHaZrKGeOch8LhxYsXTxg/PhQOQ29FVXLg+9fZN9yUhAABIJRwLjhjKEPT1tp64MCBTZs2RSKRp5588v7Fi5EXnCgf+3y5YaXmwu/veCU/MWZAZNSUnB1obm7GWdJvfvObo0ePln7mulsFfDB6x1koFMrMzOrujgkBTY2NGZmZXm9VVFPVnJycSEqUEIKjo3I4F4v1gYB+5PCRUCi4aPGiPn3yJa/+bXNxuOAKpVj3xNZPxlg0Gu3q6mpoaNi0aVNZWdldd921YsWK4uJiGTjetFfAdd2urq7Lly9XV1f36dPna2pm/doyBUI6RMZYQ0NDVVWVbduFhYWDBw/GFt6qqqra2lpKaU5OTmFhoZRrgl7yf0cFjYOicg4uARZM0bxum4GnRTRuAfcEAAAFogpAJKoCAaDWl3+3BqUqKAEQKoDOObgd3a0fnfpw96HdI0cXf/vV78ycPt0ImIwRjzrAFcGVa+RfhRAdHR0oZyI1YGUV2LbtWCzW0dHRv39/2dKA1rdv3+nTp584caKrq6ukpESWR5JRKdaIT58+ffTo0b59+06dOjU1NTVZku0OkbH4HTcUhBA9JzRKgQgh4omEpmnHjh9zXZcLMX7c+L59+6IHQPZl6CF5pW2tbYhQ8/LyhhUXIxL1zbfPyzIIzj3P0zRNVdV4PO55nm3b+/fv37Bhg67rq1ateuihh1JTU2V76A09FjlPrr8RQlpbWw8ePFhZWXn//fePGTNGOhbUI7zldKd9MPoHA6MZGRlXrlyJxWJVVVV5ffKQdRm1eRRF0TWdANiWFYvHsP1RUgU1NjTs2r1r3LjxAwYMwElnSsntRJWn67rgPBaLKYoSDAZ7Ex6koaFhzZo1Z8+evfvuu1etWjV48GC5M6U06E1otm03NTUBQGFhoW3blNJwOMw5l/jm5s+PYruSEOLy5cu1tbUZGRlFRUXRaDQej587d27jxo1bt27lnI8fP/7VV18tKiqSOSd8YOpdnqJzhXGwBNjdXotKg3HmUlsjXMN6PMGuUyEEB8oFAJAvv6KFMGzH1gghwDzV1ky1rLKso7Nl2Jghzz67euG82XZAaHos4XA7YVNVC4AArl3D+xcVFdXW1paXlzc1NeEaw8UmhGhqajp8+HA4HC4oKJD0Q7KFo7u7u7OzMycnp7i4OBlZSnDvui5j7OTJkxcvXhw7duzkyZN1XUdeTD9d98kV2IMysSebc+44TiIer62t5UIEg+bQYUND4bDjODjX6DgOUooyzztz5jTel/79+weDpi9V79s1TKGK7bq4zHrajltaTpw4sWHDBkrp6tWrn3jiiXA4LCdob/TbUxQ5JYnSdydOnCgvL58/f/6IESOQZKatrS0zMxMAbuYGMB+M3lwWjUbz8vIIIa7jtLW1BQIGY3HMfTLGLl261NDQwIXo7O5qbWmVaxEJJt56663mpuYF99yTnpbemzS9rY4uxhhnDD+yzCddvnx58+bNx48fX7Ro0Xe+852ioiIsdCLiuUlI1z8v8BgyZMiQIUNQglyesrcQGxwWfRRFOXfuXFVVVWFh4YABAzo7O8+ePbtu3brz589rmnbgwIFz584tXLgwNzcXles+brFnLGB0G4YwQ6rgzrrdb0e0NCvOuAUEVCooAHIwcaBAFCAgBAFwv/zFoaG4000V4MQ9XXo8wbtBYwOK+7/6yksL71vgaHY8bmkkHDcZs1xDVbvDlAAzE5+bKbn77rtPnDhx8uTJHTt25ObmYmLbtu3W1taTJ0/W19d/73vfQ7+PeQiE7JzzCxculJaWjh07Folv5Y/k3VcUpaKi4sKFC47j9O/fv1+/fkmQWvijS58OipIZW0+dPhXrjnmuO2jUyNzcPLy2iFlVVQ0Fg47r1tXWHvzwQ0Kp4Hzy5MlBM+gjUd+uYaiigiTzjLFEInHq1KmNGzcqioJqn4ZhyKLWJ3rib0hGIxAIYMIFweiJEycuXrw4bNiw7Ozs+vp6FMc+evToAw88IFkg/cyob18AoIRDOIvHBG9vb3ccG0UXTNOor6tDkRvBeayru72jHdWGFEVxHKezo+O9996bPn36oMGDg6EQytNjZeF2AqOUENM0HcdxHCcSidTV1b333nv79u177LHH/viP/zg/P19SjXqeJxu9b06T0/eSoFh2Vd60mVEE+slQAO/L5cuXGxoapk+fPnjw4JMnT27YsGHkyJF/8id/sm/fvkcffRS1Q9Bvyn5KSinVuWMnBDgBQzGD+j/92/+gRGGCGCLoAOOEEQAAASAFlASA4MqXdjvcMwkBIiglgoMLqjtxwoRXX3557oJZEIwnGKMpNAEOAwFpig0qXFPPgxDy5JNPbt26tbu7e82aNVeuXBk+fHhaWlpra2tzc/Po0aN/+MMfSo9vWRaqp2JPcG1tLWNs1KhRmKXAp8lUMWKm48ePnzlzprCwcNKkSZFIBAcc8cpj/sP3k5xzAUQe/OgGKaV79+zB78yYNj0SDluWJfcUYwzvRWdn5/FjxwmAQun48eNxbsk33z4X5agKAHie53leV1fX8ePH169f73neq6++unr1ahSXxj2ePKl5Y/YpZi4kDPjwww9/9atfNTQ0jBgxYtOmTd3d3fF4vKKi4rnnnpPTS35m1LcvZAE9YJpB5nme69bX13d3x3qVzeGNN96glPTp06eqspJx7tiOpMETQrz//vvtHe2PPfaYaZoykrvNlp2qqpQQROeKotTU1Lz99tv79+9/4IEH/vzP/xybx5PTophAvWlbMD8Tcd7kjMTS1eJVRaxfV1dXV1eXSCSi0WhdXd2xY8dmz569YMGCeDze0NAAAIFAICsrKxKJXEWwaijCZqrr2vkFua++/JJK9bAZjXVb8Vhc1wIq1QE44lEKQHsfOV+eIsJpUDQwXG4ThSs6oboYNXrY3AdncPDiwFRFJUAYMABCweBgAzAA4xqIXNf13/zmNz/5yU82bNhw/vz5srKyQYMGTZ48+emnnx4yZIgQIhaLhcNhBKOyWba6uvrSpUvIyYLJPOxoTB7z4pyfPHmyrKzsvvvumzhxInySBu5mDq5u6DoEAr0nK7Y6EEIS8fhHhw/blkUVpWTMmHAkEggEFIVi9ITUoZzz+ob62poaxlhObm5OTg5SRPksTr59nlGFcsZxU3/00Ufvv/++qqqvvPLK6tWrMR+Eu1JSLN3gBI0cYDp16tS//du/bdu2jXN+5MgRpJvQdT0UCj3yyCPIauyT3vv2hTOjoVBWdhZVFAHQ1NSEeXVd0y5fubxv795FixebZrCmujphJTo7O1H30vO8rs7Of/u3f5swfnx+fr4M9LGD7XZysp7r4kfWdb2ysvKDDz44cODAggUL/v7v/x5157EujxwC2CKG5Go3rSE3DSHEsqxoNHpL+IjkIhQ+OHLkSE1NTUFBAaW0ubl57Nix8+bNA4D29vadO3dyzgcOHJiTkyMnyiWAcBkNBHhhv+wnln8zZIY9wSloXGgAQFwKAIQTEISCC8AAGDAPiGKHzC/7nu1WVadgC6EoAlQGGoigbYFjAomAAiBiQAQIBUyAACRsVWGgXzMtJ4SiKM8+++zq1asx0St65ZdweEsuvLS0NElodeLEibNnz44ePXrYsGFSgkv+FDtPTp48efr06UgkMnbs2MLCQkhiafg6lMNuUVMUhSctxUBAtyy7urq6vKxMCJGZkREwAkIIVVUooZZtoxYOpbSqqvLUyVM4aDJ16tRQKIQiI/7R49vnWXdXt67rsVjsww8/3Lhxo6qqL7300nPPPSeT7mhYhEwkEpRS7PC+AYZOQ1EUy7JKSkr+7//9v47j4CmJ05Ny3B6xMrpfH4z69rvNDAZTU1IF547t1NTU4BHV1t6+a9eugYMGjR07tqm5yTDNluaWpqYm0zRt23YcZ8vWLXW1tf/ff/tv0ZQUCUNvP9JmShU87CsrKzdu3Hjw4MElS5b87d/+LQ4zyaMaCS80TQsEAjfzyY2ApocqQdOSB6tvZku+pHionzhxor6+Picnx7Zt0zRnzJgBvZKhhw8fBoBZs2ZhtIAwFKfCOeeqQhxP0wMiGjIVhetAbMXrBlcAUyCgAU9h0KubxEEAgAAm9M4v7ehZgNqCqUEuPJ0EOyhwQ+UAqgKCA7eBAQRUUF3HFrpQTI2DSa6JhHowrm3Lj4MfDZefHCaQP0U29aqqKsMwkOohObEhs6SY0qiqqho4cODQoUNxJUtSGMme4fPeAwHBe2aEXdc1TSMRj5eVlXV1dlFFaW9v/9lPf/ab8G+Y5zHGCSFYaWWMWZZdVVUFhFBFmTBxguM4GMT6R49vn2eGYXZ1de7atWvTpk3hcPiFF154/PHH5UGDCUgEfACAsiY3jEEJDw4AQG16wDHfXmE8PC67u7vD4TDC0Nu4z8cHo199xB+OhKOpKY7ttLa1YkDPOd+2ddvCexcOGDAgNSU1Go0mEgnLsizLopS2t7e99eZbS594YsDAgSnRaMKybvU8PKW0s6szaAbxsaZpKH8KBEBAdXU1zs4//PDDf/zHf4xiP1f1JPyepG43PsWY/LZvCXMcR86WXrhwoampSVXVgoKCadOmYc2ou7v7/PnzDQ0NnPP58+ebpongW2YQFUXRLNcT4YTrmJ5IRCGhYVK/i4AKoHsQ6FA6UtgnMch1eXiuATUUEQAzkXA0ZoAI9MBcAKBCUQIMEo4JZoJBEABIhwIA8LtK4nJuAJMiVyWMMS0hG2Y6OjquXLmi6/rgwYNlh6h8JgLWrq6unTt3VlZWLliwYNSoUbI0LyEpXvaLFy9u3br16NGjtm0LIeLxeH5+/v333z916lTsMcUzEnpLh7dfbY4A4ZzJhcS5cBxn//79VFE4Y2PGjMnNzQ2HQ4qiKKrquS6uOs9j3V1d+/ftw3s0csRIMxjEEMKfYbrDTUaDmqZ1dXWZpqmqaiwW03W9vb1t165d27ZtS0lJWbVq1cMPP4zeDHq7qq7a/jfSjScfIhL+yv4ffBwOh1EpFHwFJt++xKnJeUAP9MnLu3jxUlNjEx7eu3buDIVDAwcMDBhGalpqSkpKfX29lYh3dXaaweDOnTvb2toee+yxrOxsy7YxKRUMoi7zrVd+QhKraCSq6bptWVht76lpAlRXV23evLm8vPzee+/99re/nZmZicftZ1LK34oO8ea/O1cl3S9cuNDS0sI5Hz58+IQJE9LT06FX0+Hs2bOJRCI7O3vo0KHBYBDnzfHsx+eUtbVdPn+5tr4uGAkvvO8+YIxTF3STAgMIAIAHKb14lEqy+1b9S/t6U08AB5MlQAeT9YY1vSFAgAG0h3QI6HHz428TcPQver+SHyQ3ZkkqK9d1q6urm5qa8vPzhw4dCkns03g1ELAeOXKkoqIiLy+vuLg4JSUFj0Z8TRzX1TTt5z//+ZtvvllQUDBv3rzBgwcbhnH69Ok1a9a89tpraWlpuq5blhUKhf71X/81PT0dq3W3X+aP915tjHxs2+6OdZ8/f54zZprmypUrx4wdoyoqF/xj5TNFTViJXTt3vfveewqlffv2zcrKCofDhABjPhK9003KVViWFYlEOjo6IpFIJBptamrctWvXjh07UlNTV65c+fDDD0ejUVn0+Ey//Ydy45/3Nm7vuSUfjH6NFgwGs7Nzzp87b1tWPBajivLmm2/OmDGjX79+lNK01LRoJAJCWLbT1t7e1NS0ZfOWSZMmjR071rJt27ZTolHP81Cw/hYFZMFg0PM8u6sLH3ieh4X4S5cubt+27fLly7NmzXrppZcKCgrwM0qWNX/x3DCXJ0U+Dx061NzcHAqFpk2bNmbMGAm/uru7Dxw4oGlaSUlJamoqtislSyy2tbUdPXJ0/fpNJ0+dmD3rrkVzH/JSHAU0AIWAKtFBLx79GD6KlC8dYpksiaUJs57CAMF6kp+Csk9Pz1/XapL5kmTBBUqprusnTpyoq6srLi7OyMjAa2jbdrKYiuu6u3btqq2tnTp16vDhw6V6E/RSPtm2vW7dup/+9KeNjY3f/OY3586dm52dLYTIycmpqqr64IMPgsHgoEGDiouL+/bti+Ni+ItSNvD2gQ6f7PK0LauhvqGsrFQIwYUYOWrkgP4DbMdBhIHXQQjR2NDQ2trKOQ/o+pQpU6LRKKXEdT2/Ddc39EuxWMw0TUVVTdOMx+OMsV07d+7YsSMSiSxfvnzJkiVpaWnYi4lki74img9Gb+eT3jDN9LQ0ASAINDY1Xbl8ubm5ady4calpaQAQiUZwNoJ5Xl1dbVlpWWtry6uvvsoYQy1srFnfuiq0eITbtk0IoaiXQqnjOOXl5du2bSsrLZ05c+bq1atR9h39gt/ydSPvTjK1EyHk9OnTzc3NRUVFQ4cOxRoxPqe1tfXo0aOU0nnz5pmmiXgIISzmDnVdz8jMYozU1TcXDx/FBLBunYBHNFcA01TqGTquYAYprb0+30w4YP4eH6BDAWGAUEBQEJrXi0HJVRiUXA8YlRnfnuwd51J5Afn/PM8rKirCbKVkHpXnWV1d3dGjRx3HGT9+/IABAyRql6nW+vr6f/iHfzh37twjjzwyefLkzMxMRL0ZGRk5OTlCiGAwOGfOnKVLl0YikR6Nq6Ruitssj9Urv+ThxFjplSsdHZ2U0hEjRmRmZLq9zG7yGrqu29jYeP78ecG5pmnjx49XNQ11RP197RtOJWLBvUfi2LZ279q1ffuO9LT0pUsfv//++7EQl8wf7F83H4zezmYYgfSMdADwXPfc2bNvvfXWzFmzioqK8NBKiaaYoSBKuZw4fuLcubNjxowdN358Z1dXMBhkjHV1d8s04a2oLILHhq7ryNWC3uHChQvbtm+rrqycPXv2k08+OXz4cFkJxePW9ws3+B5hSau7u7u0tLS7u3v8+PGDBg3C6jzewZqamvr6ek3TFi5cGAgEdu/ePXr06LS0NMmuGgqFwtGI47rRaHTO7JlEAHWBUhCCgiaEUHsaNz+ZB004ZrjrOhyVgq/DIKVnIEr0DER9jEGTYSgB5/Mo778AUk9msbBtu6Wl5dChQ6dOners7KyqqkJ1AEjiGcVnHjp0qKKiorCwcPjw4SkpKXLnInVud3f3Rx99dObMGcdxZs2alZOTI/mrXdfFEQrDMAYMGDBy5EgAiMViMi16++VvBAhCqBwdc1331OnTnDFFUbBrWerl4KgcDnN0dXeVlpYCgKIqI0aMCAQCyWqu/r72DSmf47GY67p79uzZvn1HamrqE088sXjxopycnOTZQf/EudnMjym/+syTaZgZGZmqqlqWvWHjhsrKysWLFkeiUUxERVOikXAEABoaG/ft29fY2HTfovsUhSqKomsaemFZK7x1LwJiUJzILi0t3b5je0VZ2dRp01auXImDHTiaLQka/bPkxt8jADh//nx1dTVjbMSIEQUFBTLH0NHRcebMGV3XCwoKioqKPvzww0uXLlmWJW8ZHv9NTY1nzp3MzslMSysQBCiACp7GueoIPU5SXEjxADqUnsK6dDrOl/6PiRQEsklo5pNIFP+lABScYOI6kGjyZZGdtfiYMWaa5r333vv4448PHjxY9iokDx8wxnbu3Nnc3DxhwoT+/fvLtCj01gpQ5Q/jrgEDBkSjUZnOaWtrq6+vx5IIzvMBAHa2yCHf23IF4siwEKKzs/PUqZPo9MaMHYtp+ICuM8Ykr61t23U1tQ319YqqZmVm9S0oMAIB6M2t+jvad2hYZ/A8LxaP7di5Y+P6DeFIePny5ffff39eXh70jislMyX7dhMFEv4l+OrBqGlmZGaoqmpb1r69ex9++JGioiIsRnueFwlHwqGQAGhpaQGAGTNmjBs33rJswzDiiQQhJBIJex6TdGK3op/FdhwcQy4tLd24aWN5WdnMWbNWrlgxYsQICbXxwe3XD3erIFEAOHLkSEdHR05OTkFBAXK8A4CiKO3t7SdPnkS+vW3btl28eHHixInhcFhCNM65bdvVNVWNbQ133T0HzLjLgmHu2swDrhAASpDLCVI4AAUn4STMnvZK9cun+fgnkejVHwd6YaiZAJx2uubzr5Wx64WYckA7EAhkZmbefffdc+fOxf5F6KXEki0NhJCysrKjR49qmjZhwoTc3Nzki4wF/UAgIMkLU1JSkokMr1y5cvToUV3XBwwYMHz4cEwK4ivf9m1t2NJTUVFRUVFBCImkRIuHDdMDAQBgnOOgCWagm5ubzl84H08kQsHgyFGjDMPwmHe7ci769qVdRK/2QWtb65nTZ9757TupqakrV6xY8uCDmbnZ4LFkJIqJEiSs8M0Ho7enCSEChiF1q1VFfeihh1RNk/k/Mxg0Q0GFUs91MzMzFt57bzBoOo5LCPQ0UBJKqZD50VvxCuBn13W9qqpq/Yb1iESffuqpkSNGyPNe0zT0C8h9458oNxKJyubI6urqcDg8bNgwzBxAEtUIFkY7Ojr27ds3Z86ckpISHNbB4EHTtIaGhtKyK2lp0ekzpxLhaUq3EAEFVJMbHFgPewIRIAQTFABMxKMpjGhtX/Y9dwcpgxQA0BMfA1AhH/XW5ROmns46vhit02cvXUhqZ5QNCaZpSuSEk/WfxkCbNm1qaGgoLi4eMmSIhPXJADcajc6ePfv//J//QyktKysbMGBAKBSilFZWVm7ZsuXcuXNjxox5+OGHR4wYgX+Xc45laLzgt9kGIUDQUVBKrUTi0qVL3d0xVdMG9B+QkZmp6zp+cJmEFkK0NLdcuVKKt2PipImcc8uysQKTTF3u2x178nqeZzv28WPHP1izJi0t7amnn3rkG99MzchUGBe9z0FIyhj7TBYX3+50MHoVS5z0PgAcyC1WouLMUynNSEvXVJUryqRJE/v1KwwGTeZ6ruepmqYoSiQcCYdDVFHGjxs/ZfJky7I1ReGMBYOmazuJeBwbX25y8jwhBMH/ku4i6b19ikIrKio2bdp44dy5efPnv/D8C4XFJQwshXHZsoMDyDe5xtJt6bWhV/mjqKjo3nvvLSkpwRq9dM1ZWVkPPfRQRkZGOBx+9NFHhw8fLgWH5IvU19dfuHA+LT11+PBiVde9hKUqmsqBUJdzDkAVQoEIR2WCMD1hOmZCs103oCU0lWqM2goA8AADADehKpTTwCcghQLCsTTF8ABbRZOATC9uBhAfg1G0jq8ojSintWRRT07WoxYDho745EQisXHjxkQiMWHChLy8vOQTDs9ITdM0TZs0adK99957/Pjx9957T1GUgoICxtiePXuOHj06ZsyYhx566N5774VeukHJcX1bglEgILV/W9vaLl68CAC6ro8aNcp13UAgwDlXFEqpzhhzHEcI0djYePnyZQAwTLNkdEnQNB3X9ZHonWaUENfzVFUBwKBaYPs4pcR27KNHjq794AMhxIsvvPDY0qWGEaBEgPiEUhruYsMwMBbyL6kPRj9xOqLnlQNx6H0IAIFb0dEIRaF5ebmdnZ0PPfSQpqoUgIEAwRUCjHmpKdGsrKzU1NRZs2ZqqqJrKmMMBHiOQwgoChWCg4Cb/PARQvR0DwoBIAgBEFwITonieG5He/faD9YcOXJkyZIlL7/88oABAwhP9CKIj897X6r7DwADeqmdAOCZZ575zJ9mZGQ88sgjjzzySHJuT4494TcrKysvnLtQXFxc1KeQMK4GAox7FnW9sA4AQniEuDLUZNQFAdTjJheMqeAFHFSCjgMAuLbtERLgwWS4zAA8zwNuAoBJHPzRtWvvZsKB32NW/9OADyHpJ6JNzvEiSCTqed7Zs2dPnjwJANOnT8/NzU2eykccKcnL/sf/+B9vvvnmr3/96//9v/93v379hBCmaS5ZsmTWrFmDBg1Kfg+Y84NbuXf8mu4DgICqqpZlnT937ujRo4JzSsnAQQN7HQvxPCavXn19/anTp2pqakAITdPS0tIUVaWMxePxSCSMmvX+1r4jwCglzHN1DaXReoYjBedd3d1Hjx5ds2YNY94rr7yycuWKnsOldzOSTx49yVvMNx+MyuVFA4GAHIrE+hRmFG65UnVP630gkJqamp+fP3v27PT09Pr6+oyMDMMwcHI8EAiEw+Hi4uLRo0cbhnGLluOlYC7S2mPuB29ZV1fXu+++e+DAgUceeeT73/9+bm4u9tj5DV63KnLoBaPSlcdisaqqKtu2R48enQy2Ar0zJZKvFO+41BaH3ty54ziGYeDL4m/Jv4JJR4xLsZp2M1wB+dllS7Tse96wYYPneZMnTy4sLJT9JxhRG4ahKApW9gOBQCKRyMrKmjp1amFh4fz58wsLC6WYk9wjd0RERAkhtLur69y5cwcOHOhob0tJTdEDgWNHj02aNBnVATzPCwR0z2MV5eVrPlizbcvWSDgEAJyxXbt3JaxEQUFhJBKOxeIo4+Tv0zvBEolEampqIpFAX4EcwO3t7UePHl27dq3rui+++OJzzz2HZTdkcfIPHR+MfglH77ouY8wwDJTUU3vtVnQxjuOoqnrPPff06dMnHA63t7cDAE4id3d3q6qan59/7733Dh48ODU1NRaLIYy75T4msqIqiqLruqIoKHAaDofr6ureeeedTZs2LV68+C//8i/T0tLwCJfK5v6uu/WgQxIZCp4BDQ0NZWVloVBoyJAh0Ks/lDxtI0d8oDcLa1mWYRhyMZimmayDggBO0rxLDIpyRDdDkCk/TvIYOKoH/fu//3tXV9fDDz+cn5+PQFxW8/FLXdeRSPi11147cODAz3/+8yFDhiB1keu6iURCVdVgMHgH5bcIdRm7cOHCqVOnBgwY8MzqZzVNC4VCNbU1mzZuHD58+KRJkzIyM9va2g7s33/hwgUjYCy+/34MeBzHaWps2rtnb/8B/ceUjIlEo74c6J1joVAoFothC42u657nNTU1HTly5P3332eMPf/886+88goAxGKxUCiE3GF+b6gPRr/EUSdlWHVdNwzDMAzU9UJuoFvINE1D6ZTly5enpaVZluV5Xn5+fkdHB+ccJxvGjh1bUlKi9JoEdreWGYYhJzwURcFzoqqq6p133tm1a9eDDz74P//n/0T+GuQZ9mHorQ5G8T7i1OqlS5fOnDmTmZk5atQomXtA4IUj5zjEhg8sy+ro6Kirq8vPz8/KykKRTADQdd227cbGRk3T0tPTUetBUZTOzs7jx4/n5uYOHjw4HA7fDCnDz+MmtG37ww8/bGpqyszMHD9+fDgcluNNiETlhyWE1NXVvfnmm/F4/Ec/+tFdd901Z86cwsJCXddxXieRSNxBeJSArmujS0pGjByJCqi2ZYUjEcMIqIpq2bZlWe3t7YZhzJg5c9bs2Qg7LMuilAaDQYzt8bz4zHky325Xw9sNAIFAIBaLxePx48ePf/DBB5TSl19++emnnwaAeDzeoyyTRCzqmw9Gv5Aht3Nra2tHRwfWuTCJeMshGMYY1qzxKFIURVXV7u5u13Vt205LS8NDGkkEHccxTTMWiyXzvNwqhucBqkSig2hoaDh16tTZs2e/+c1v/u3f/m00GpUw1HXd5DY7325JZ6Gq0NtG2dbW1tHRMWnSpKKiIvyppD3CwFJVVc/zjh07tn379t27d588ebJPnz4vv/zysmXLcCYdS2y2bf/TP/3TlClTlixZgi/e1NT09ttv/+hHPwoGg6+//vqoUaNuhvKIbNyUDDKMsUQi4TjOL37xC9M077///mAwKBsVMFGHfsBxHETe+fn5Y8eOPXTo0Lp163bv3v1f/st/ycrKGjJkyJQpU+bNmzdo0KA7SJ9QAGNcNmyEw6FoJOIx1tnZJYRIS01FfIlUG4pCLcumlKampHR2dVmWhUvRNAzHdTFJ5m/PO8QMw2hra8MD1PO8vXv3btq0KRwOr1ixYunSpbquO46DO/EqAXrffDD6u5ySEDgvGQgE0tLSQqEQ5zyRSEg94lvS0wqBFDChUIgxFo/HTdNMrmCiP0Wxu1vUmYbDYdu24/G453lYkayqqrpy5crdd9/9gx/8IBqN4lkim/8Qf/iu4VY0z/Ogt4aOqoxXrlzRNG3gwIG4kjEvLves7KocOnRobm5uRkZGaWlpR0dHbW0tZk/xdXRdf/311zdu3FhUVIQj50KIcDiMJeyOjo7S0tIRI0bAp+YP/iAm1eolGT52p+zYsaO9vf2ee+5JT0+/ihsYv8RgrK2t7Z/+6Z/y8vJ+8IMfnDt37sSJEzU1NU1NTaWlpbt37/75z38+Z86cV155BbWdbnuzXVtVdU1Te1cLd5gbjUYtywoEAq7nxePxlGgUg14ACAWDlNLuWEzTtEBAVxW1pbUV82S+ftsdZa7rhsNhy7Icx9mzZ8+WLVtM01y+fPmyZcui0ShjDE9VbAryZT99MPolLNmzt7S0XLx40fO87u7ulJQUzDLeWhc0uaCJRzIyhmLjgW3buDewtI3NsgjXbrmlk0gkNE3DzK7jOA0NDaqqIhItLCxEbBEIBDDZY9v2bawlc9ubJDnq7u6uqKg4cODA7t27m5ubm5qampub09LScHBVEmLIrptQKBQKhQYNGpSfn3/27NmqqipJEaXr+uHDh9euXVtTU9PR0dHV1YVgLhAIFBcXP/fccz/5yU/69+/f2dmZmpp6MxwnUsBWssNYlrV+/fq2tjZd1wcPHiwrg/I56L48zzty5Mjf/d3f3XPPPd///vezsrJisVhnZ2dzc/Ply5ePHj16/PjxqqqqNWvWhMPhv/zLv7wTVpSu6o7nAYARCDi9hdeWlhaZVxZC2I6DLelCiIRlSdpR1/UIEFVVNU3VNFWOVPt2J1hnZ2daWppt27t27dq9e3c0Gl26dOmjjz4qBXhlER8A4vG4nI32zQejv8NwAem63tjY+K//+q+I27q7uzFNcutmRnEaFJkBHMe5aghXEpHgCXcrfkZEmXg81NTU6Lo+derUl19+ubCwMHkGBRswcBbNj1BvUZM4TFXVvLy82bNnDxkyxHXd3NzclJQU5ISX2kVo8gDgnGdkZAwZMuTw4cPl5eUSpdm2feDAgdbWVtTD7O7uTk9PxxdJTU0dPXp0QUHB4MGDb568V7IGOgLu5ubmf/7nf6aULl++PDs7W14l+Su4tUtLS3/0ox/V1tY+8MAD+fn5QoicnBy8CCUlJbNnz66srFy7du3bb7995MiRO2dR6brOOU/01tyFEMFg0HEc9JCmaeL1xH+xWVm2LHPBVVW1bccwArduAc236zDTNNvb2/fu3btjx45QKPTEE088+OCDWVlZ6DqwbUzOF+Iau3NIKnww+vuec8FgcNasWdFoFLmOcV4yifr+ljSJOLF5Tn5fZoJvg9Uj54s1TcvJyZk4ceLQoUOv0uxOnk7z99ute6Px9pmmGQwGMzMzhw4dmqzkdNXylo8xUZqSktK3b1/HcZqamuSvbN68OT09fdCgQbW1tckLhnMei8VqamoeeOABzDViVCOS+ALl4xtZg5N/F/1SIpGora29cOGCaZrPPvtsKBT6tC4A5mZOnjx58ODBSZMmFRQUyKMR83xZWVlZWVkDBw7s6OjYtWvXnUOWKaRYhvySEELgKr+RDP2T2Qyw35Qxxhj3kejtZ5jLwFQOPsBUjqZpCcvetWvXtm3bUlNTH3300cWLF+fl5SX7AemsMHj2l4cPRr/EOZeenj59+vTx48drmob9VVK2y19JN7NJVkhKaTQajUQikJTrlRlfH4beBjda7tbP/P5n3mXZkYIQFkdVOjs7o9FoaWnp0aNHH3nkkWPHjum63tzc3NLSgocKY6yurq6urm7p0qW2bQcCgWRKKXxlbH25kfNwycV3fNDW1vbhhx9SSjVNKywsxLacZClRhJs4Ay6EaG5urqqqys/Px6ch5bDEtR0dHdFodP78+XfOopJkXnhbKaWexyTravISkk9O/j70jr362/P2M9xuSK+BX+LQRSwW27dv79atW4PB4KOPPvrAAw9IHePPc0T+6eOD0S9xzpmmiTlR6dD9puNbCIxKYR4/ePDtqjMAN3IwGExJSQEAz/MaGxuDweC77747fPjwvLy8SCSiaVpzc3NbWxu2pVZXVx84cKC4uLhPnz4IOjElltyIGYvFOOepqanYmnwjPxTnHE/K9vb2M2fODBs2bOLEibKCn5w9xbeq63pxcfGcOXMOHDjwT//0T9jhYBhGIBCwbbu7u7uqqurChQtlZWWLFi16+OGH/ZXjm28yo4GZDpx/tSxr3759GzduCgQCTzzxxP3335+Tk5McrvgzCT4Y/b1MxrjJauw+Er2FTCYzkhnOfbvDTR4SKLCE4wWe5yHuPHfu3LJlyyKRSH5+PvKw4EhfU1PThx9+2NHR8eijj0olNoSA+Lvl5eUVFRW2bRcXF48dO/aGOQrsRZP5OZz6nzZt2uzZs6dPnx4MBnFmMfn5nHMkdSouLn7xxRezsrLKy8tjsdjZs2eRV7W9vZ1S6jhOV1fX2LFj77rrrtzcXH/l+OYb9mAAALaMM8Y6OjuOHjm6du1aI6AvW7bs4YcfRiQqvY2fB/HB6Fd8gCXHNz6V8a0CO67CH775JlcF9ntJ8djq6uq9e/fOnTs3Go2aphmNRhVFcRzHdV3U9KusrFy4cCFmUqXuEYK2pqam3bt3//a3vw2FQq+++uqYMWNuZFrUdV2kDcY/mpeXt3r1agSpV5WP5V7AANs0zRkzZowePfry5cunTp3CnoS2tjbOeV5e3rRp04YOHRoOh/EA9rM7vvkmNxFu/5bWltOnTq9bt44QsnLlyqVLl2ZmZuIELTb2+FQtPhj96lMpcuY6udrl281syQVZ8LPaviXlKiR3hKqq4XA4Ho/v3bu3rq5uyZIlhmEgtRkAID47f/78uXPnhgwZMmrUKGy4RC5SzJEYhlFcXHzlypVoNNqnT58RI0Ygn9SNzNbIpY5ZT9M08SMgSEXyVDwXJTc+UswQQlJSUkpKSkaNGiUBtKzpe57nuq7PQeObbz24RFVxXzDGOrs6z5099+abb+q6/vzzzz3+2GNIu4GbRcZvfirEB6NfZRIlGdn4jAw3uck5M4wf5I3znYJvkDQPi8vDMIw+ffqUlpZ++OGHf/d3f4fLBgAKCgoikUh1dfWZM2c6OjrS09Nnz55t23YwGGSM4Zkk2T01TWtvb+/s7Bw1atSNr2gjiER+AFVVkWfUNE1E1cldrTKuxkY3SqlhGHhNkJwIkvqt8ejFsV8UHPIXj293uGEvOKW0qbnp3Nlz77zzDgFYuXLFc88/r6uqJOdGng2M/fw66q1uf/jMthQ18QHNrWWapum6LjkCZQiRzGPl2x1ryT2jOKQYjUZRtGnmzJnYJ2pZVigUSk1NNU3z4MGDnZ2d9957b2ZmpmmaqJIgXQHiWsdxqqqqVFUdPHhwJBK5kY1iycRSyaUbxJTxeDwej2O2JnkeHJkEsPNVPjkWi8mEqIzrUCX4RnYd+ObbTWuO49i2nUgkThw/8c5vfyuEePa5Z1/+iz9jkWDC1GVFXtM0bPJBLkj/uvlg9Ctw9JhvwMfol/206M2PNqBXzRXb5jAb5B+ovkEvOQv0khzh0dKnT59vf/vbUooMKZ8SiURVVdWIESMefvjh3NxchJiYQcT0KvRmJbu6uqqrq03TLCwspL12wz6OxJeY8kSSdugVmgqHwwiak3EnJmwQd+LnYoyFw2HJzovvHyUh5BXzzbc77Ry5ylD+YP/+/WvXrnUc56mnn3rl29/DH6lxSxJX4y7TdR2rE/7FvKXtpijTX8WR7qOZW8KSiYX9q+Hb1Z4lKWWODzIyMubOnTt69GhIaixOS0szTfORRx556qmn+vfvj99Pbp2U3oBSevHixbq6uuHDh48YMQKn129YCeWqRf55ODjZd32mT8PXSX41+Tp+aucmN4xADCPQ1dWt67qua47jYtSUPOEgSe4wDEPWwqviE1Su44IzxhWFAkAiYXmeZxhGQNe9Xt6G2/4EUShpa2vPzs7C7CYAMMZ1XYvHug8e2L/m/fcppd/97ndWrlypKyDiNiEEyOdSHfvmg1HffPPNt6sTHslqSUVFRcuXLx8zZgwO9Oi6jqdIenr60qVL09PTJRK9Bg44evRoTU3NlClT+vTpI9OT/tCPbzfGEGUqVDEMQ1EUxjiO30mIiZ3EcsXqukYJdVwXG05kjp8QcBzX7hU7ZYyqqoq5Pc65Zdt3SFjCOfdcLzc3p7OzU9M0ZLbXdb2zs3Pfvn0bNmzQNG3lypWPPvqoYRg+0YQPRn3zzTffriftkVw4y83Nvfvuu1NTU6VMEf5U1/WFCxfiYXztVyOEXLx40bbt7Oxs7MLEOr5/qX27YUtaUahl24lEAvkvVVUNBHTPY8iFiYaJcISeya0myFKE+DW5nQk7hjVNo5QwJu6ckQlKqa4ZsVgMFbORrLetrW3v3r2bN2/WNO2JJ55YunRpNBp1HAcH+yzLkpJsvvlg1DfffPPtC2U+pMK4pmmZmZnymwAgaQLD4TD09pheA1w2Nzc3NDT07du3X79+8nX8Y8m3G2ZCCNf1kPHANAwBPfNzV3FjU0oVSuXKlzV6WSjAb+KC13VNVVXHcfBL7Ja+U9ofezsZkG4ikUi4rrtv374tW7YEg8GlS5c+9NBDGRkZKEmP101WVHy7DYMT/xL45ptvX4dd1QsOADib+Jn9cNemreacHz58uL6+fvjw4YMGDYLerk1/asG3G3peUiypBwDAcdxEwrIsWwJNbCQlhHiMoV4XVvZ1XcP8qBDCCASCpimEsCzL8zzP6xG8la9/R/kHRVEsy8K+W8/ztm3bhkj0sccee+CBB3JzczH9jKOBN3Jg0bcbb35m1DfffPs6sh7iKgok+KSShRyJTUar1wABhw4dam1tHTBgQE5ODnxKasE3324AeEKVLMuyMYWJ5XgMirArVGo9GIbR2xLKXNdDtCpbQlVVjUQiAOC6rsyhyteHO2MuRwAgpQYmhnfv3r1t2zaJRPPy8uR1QNUM7IXwO3N8MOqbb7759uUO72Q2eDlsJGGozGvKx593BluWdeXKFU3TcnNzUfdInt/+dfbtxhgy3ca6uzu7Oq2EFY1GKaWdnZ0BIxAJRwKG4bluPB63bIsxHgoGXa+nGdQ0zGhKimEEHMdta22NxWO4C1zX5VxkpKenpqWhhoiua553p6xqzlnCsVNSUurr6w8dOrRt27ZQKPTEE08sWbKkb9++0nXIhhzLsnxJCB+M+uabb75dDxLtyYL0ZozwR7JzFL5YjvPcuXM1NTU5OTnZ2dkyEeUjUd9upAkhHNtubGw8cfLEieMnNFUVAJTSwUMGl4wu6du3r+u6dXV1586fu3jhIgGwHUdRlEmTJg0dOjQSjeKOsG27tLT01MlTtbW1iqLk5eXNmjUrLT0d06iU3FHNJ4RS2tXVdfTo0XXr1iESfeSRRzAnKj2DpMoCn8jJB6O++eabb9eNSj99liSLZ376y2Rs2tXV1dbWdurUqZSUlD59+jDG2trawuEwDiP7kNS3G7mSFVUNGAFN1Xbu3NnU2OgxNmvWrOLhxYZparquKEooFHId9+iRw+fOX6CE9B8wYNasWXpAV1UVh+6j0WhKNKWysnLDhg19+vRZsmSJqqqMMV3XEgnrtlzM2PEpWz+xGwHDUcb53r17165dq2na0qVLEYlKwo1kSAoAPrO9D0Z98803364Thn76MXxqUOOqMxjHjTEjEo/H6+rqMjMzH3/8cVVVA4FAd3c3qon6J5NvN3g9BwKBfv2K+vTJf++99zo6Olg8PnnSpLvm3JWdk4OrcfCQIZquVVZUnDlz1gyHxo8ff9fcuQCACluqqobC4REjRw4bNuyjQ4emTZu2bNmyaEqK67pGICCEYPw2bxiV/eJCiO6urjNnTq9Zs8a27VdeeeWxxx5Dwo3PvAJSY8Vfhz4Y9c0333z72g8qed4gR2N2dnZKSoqUsUmWt/EPJ99uMBjFoXhN04YNG3ry1MlEgsSthGxqJAQ8j0Uj0aKiIiEEAYL9zdgtimvVcZy21tbGhvqs7Oy75t6VnpEuRI9aLKWUc6GqCmP8Ngu0kLkpWa7PsqxTp0+989vfuq67atWqp59+Gq+VX5G/Y80nSvDNN99uIjyKB1Iy0xPSXCOxi5yuxfPbP7F8u5HGOcdJo+HDR+BibW9rT1gJVLO0LNtxHEoprljP81paWiSBqBACH585c6asvGLkyJHjx0/QVA2FxBhncqTpNrtoeiCAUp9yF7e0thw+fHjN++/H4/Fly5Z9//vfD4VCEoAyxvyihw9GffPNN9/+8HgUkgabWK8ujRQBVxRF13WfZ9S3G7wyea/1798fv9XS0pyIJxRFURQF6/iu65ZXVqia5jFWWVXJOWeM41qllMZjsX379jmOM3fe3Gg0krCsXvJdIek2b7NVnYjHkYQVL05rW+uli5fWr1/X2dm1evXq1157TZJsuK6LLE4+n6gPRn3zzTff/jAmR52Sz2MkZZQ5lWRkgOqL/nXz7YatT0opRkHI6kAobWtrx2wopvMJIeXl5Xt278a0fU11DUJMzPTrmvbRRx+dPn16yJDB48aN9zzmuq6maai6pKkqvvhtdt00TbPtHmkAz/NOnjj5y1/+MpGwVj3zzKuvvgq9/TkAoOu6v6nvWPN7Rn3zzbeb6LzHJBP0JqLkY/hkG1ly/5lvvt0AQ3yJw+/hcFjXAyBES0uLZVmO4+BPGxsbDh8+XFNbSwhxXTfW3Y1rGAfy2js6Nm/ebJrm7DlzwuGw53mKolBKOAfXdZM5jG6z6xYMBm3bFkIcOXLkvXffZZ634umnv/3qt3Vdw0H7eDxumiYmUPFi+rv7TjM/M+qbb77dLIdWslKopIBBGRvRa4wx13Vd1/V7y3z7gyxRxljAMLJzslVVbWpqtGwL+0QppZcuXa6srJw/b/7AgQMBQAA0NTUyxjzPY4zt27u3pqZm/PjxI4aPYIxhst/zGL4ywrXb76IlEglUltq1a9cHH6wJmMazzz/3wgvPi7QwAGDvjWmaWA/p6Oj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"}}},{"cell_type":"markdown","source":"## *Les fonctions d'activations spécifiques*\n\n<div style=\"text-align: justify\">Nous avons essayé d'utiliser différentes fonctions d'activations, comme par exemple la ReLU, mais nous également testé la LeakyReLU, qui permet de limiter le problème du \"neurone mourant\". Ce problème survient lorsque le neurone reçoit une valeur négative, laquelle devient alors zéro, rendant neurone inutile pour les opérations plus profondes. La LeakyReLU accepte les valeurs négatives en les multipliant par un facteur inférieur à 1, afin de garder des valeurs négatives, bien que celles-ci restent peu importantes.<\\div>\n\n![LeakyReLU.png](attachment:e0a3ce10-9d64-4331-97fe-6d8c4c0cd1e0.png)\n\n<div style=\"text-align: justify\">Il existe aussi la PReLU, qui introduit un paramètre d'apprentissage pour déterminer le pourcentage par lequel la valeur négative est multipliée. Cela permet potentiellement une meilleure adaptation aux patterns des données, mais introduit également des paramètres supplémentaires à optimiser, ce qui peut augmenter le risque d'overfitting.<\\div>","metadata":{},"attachments":{"e0a3ce10-9d64-4331-97fe-6d8c4c0cd1e0.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"## *Autre élément spécifique*\n\nCet élément est resté dans le code final : il s'agit de l'utilisation du global average pooling à la place ou en complément des fully connected layers. Cette technique permet de réduire fortement le nombre de paramètres en remplaçant les couches Linear en transformant des channels de dimension 8x8 en une dimension 1x1. Nous avons également tenté d'utiliser l'average pooling, qui peut potentiellement mieux prendre en compte les relations spatiales que le max pooling, ce dernier étant utile pour identifier des features uniques très importantes.\n\n![Global-Average-Pooling-2.png](attachment:27d06594-542b-4f26-83b5-f7c5f0d2d3af.png)\n\nNous avons utilisé le momentum de Nesterov, qui diffère légèrement du momentum classique. Il calcule le gradient après avoir appliqué le pas du momentum, ce qui peut conduire à une convergence plus rapide et à une plus grande stabilité lorsque le gradient varie fortement entre deux points. En comparaison, le momentum classique applique le pas du gradient en même temps que celui du momentum.\n\n![nesterov.jpeg](attachment:344c9410-8c5a-459f-a359-2e5d1dea6e33.jpeg)\n\nNous avons également utilisé la technique du [Warm restart](https://arxiv.org/pdf/1608.03983) avec l'optimisation par SGD, ce qui permet d'obtenir une convergence plus rapide tout en offrant la possibilité de sortir des minima locaux grâce à la réinitialisation du taux d'apprentissage de l'optimiseur. Le choix du nombre d'epochs avant chaque réinitialisation, ainsi que la valeur minimale du taux d'apprentissage et le multiplicateur du nombre d'epochs à réinitialiser après chaque restart, sont modulables. On peut voir ci-dessous l'effet du nombre d'epochs avant le restart avec Tmax et l'impact du multiplicateur après chaque restart avec Tmul.\n\n![2014_04_25_sgdr_hyper2.png](attachment:5e3060e3-0150-4fd1-986b-38f2527f787c.png)","metadata":{},"attachments":{"27d06594-542b-4f26-83b5-f7c5f0d2d3af.png":{"image/png":"UklGRn4PAABXRUJQVlA4THEPAAAv64EoAPUG5DaSHElB/81uNWJ3754RMQFdqi/tZZciErxo7JVQ77nXfSbCFYeukmdsm7dLTEyfNg7QfYWmVCyiumvbQt+XQcULDBC9cad/Q5T3/z8kOeHN5pxi27Zt27Zt27Zt27attf6DdFfV71vfb81vfh2nO8ZpEP0Wn9jJdEUzp/VuIzfbtpPOxVEbSZI0dXdlZnFY/hD35TC2rSay/yq2Lj58Jeegsmad/kNi28iRpL60u5fz9Y5Vxj29z/+vum22ff0HmNmPPOWqzMzsungwMzMzM2OZmZmZmZmZmbnd36W9tGe8pfUonDh6EFBzUECeT6M5lIytjDsKwyzJU0aFk3UUvDOHptk55JEPPqzY64joPyRGkqQ4MTIS62ssMMxBwb5b/Q86XPcFjuU6bWodYVp7/X42n75+9fx3vSaOIu/arxa+Yf7J/qlxZA+oEbK3Zl/b9o5R6+HgNY+wUEEwfi3IMnCV6Di1wLGypk1mkprBQLWDRScBAJ7ZdC0H8Q2fDVk4k9h37GZO/K2Qg2PJ62KOLhUEZ2scOv8YNP7nCf3zTVGeP2Bhb0hg11UmfuJkjn3EAQ4OhBi/lgFja2htFtgP0jdnEafvCvCwygvo3s8TOBk4lQ9m7AoipBWftzM6sucwcL9cIjZ4bsAQub3DQZWD7/D2ZaIGzi6rwrrLTuDim3uTmLpqxaP+CReYfARFj35ycLFYMUr7iR1d+rXIpIvEzJpzhAPFhpI0ExUFE9cMTFntUjHrm1m7HEkeP5ETC0eRd+43HGuw3E7jaNJUO/gGo+ZazkVhDkhusabGEY7vOzzsC/lZ936u/2zq1zWeD1HnV4MmnedPadpyUb/qQWqhSQg3WicLV+f+jzOJ5sxHI2bHx/Wp0Na5wtvQ5PFAYbORXzLNmTQ81gbPslCYQ64waDRqGHtQ9eC+z3qJsyH7Hd9vR7d+HgzhOFH8r2Hvw/OcKAemqHaZaAXBvJ2jn4oBubP1mhCT1HxL9FFWe77mkRiEzLTd4FjzTk4FhcwcXeBYDSsIbAyC/XXztcVh+EbZNzYwT1Z/51WN27YXg8SW/vXatevNNwaArxH3rgkcbOqefVcac7zXHiO57K09p6s5IR+klN76bvKTBMapHg53fQcA0HhLHpcXgMcOECU3vw8cTp4Wn4tftBwWv9TcZW8ED/llLHwJqYG46E9rsJnmcdhbhhQr9TWO+ty+swdcbqzEO25hK5EUGefNx38EkNWY9GiO2noW4HH+vPiWEiHZUXjThzhFaufCB1xzqQ5JHqVjYpGpsdjWYdGxh847Ksnn+XcA/a5RZqK/iCsuvwEto1yxcdly+InkdPVSQHqbCEeNudz9/SZLvxq58p3Q2wuN4PdQGFWcsne634TezCdcnfuP3iEySh1nf1/2iksWHqPyRiu9GMKq14uMJNjieZRzpwm9aLHKOgEzqPXisxVbubj4DU2y15KVr0ubUE9vK3/v4bg+K0x2jv7Ae0PxaqA/rSGJR1sg4zIjOx+HXtON9kBVcUD0Jfoh/mGQ8hXXGurMJemw/WZSoHgdngtvHdO60b4RRexAxGjtM+XJny+Exm89XiqRoVwNU2fxVbFtqpb26vSqKVPmRWAADRRc2qNLmMsN1auFSNy1o+dVHm4GECLy5z+KKy6xz16pSNR/RwcpWqRXwKSgO87tRg0he9AEvWpinrZqBzuuHiK3EAPEttILGcOF7EET9KoJe9owZbWM2UL2oAl61QQ9bcNnP0cYDQ5uscZsIXvQBL1qUp62jdcC6z5n7WHg7yBrtpA9aIJeNSlP266r3Cw8yWwhe9AEvWpSnrYLxYbL7jxR9yhynezDD5sWz77PmQ/Nfo7nQrfrfzgLGq8WjNjGODzZgyboVRPztJ2lcdxaAKC/2PeHjOslM/ggxnyo2mdSDpcXAAD0JtK+5lwIQa+amKft3kZRuvRro2fr64O6z8DgKx9K+HzisDZQdvtZS2Guc22OoFeNzdNG+MUx4n2Jvh1br9HF8TCRg/4LgisfSlILHG7rhxlPU+pHzOVyts5S/UtSnralJ+KdgyFcb4cmKAXyQsCz79PzoWqOcngEX2DoWtsj5lUTcnelJquG0l9cb4c2mHq3jQxc+VB1w5vwwXKOlQMSdGX0CNvD51WTwrzX6L4zSq5XiGqC2q9fqfobuPKhck2kTslwkPvMAUC/8zJlc4tAedV4TuwGFfGqfVT54CmgJK6P41cprnzoqR69vcvjrpZ5ALD8cXaH0avGA+c+fJOPrG5gyoe6/3jwbMJlM603yF5QMEbqPJt7mdGrFhTsN2XXeNUc16/pD8WVI9tMp09VPJ5cFYXXKrUn0DJAySDoCI58qJsBUzxfH28xo1IgKUzI+VAWokl28SNBwpgPpSuKzGDwi9Br3950JJyjBAk9H+oX5T78z+8SJH7zoQSU+dD4rxai82uBrbt7A4kjfLeHLgwV7XxoKJw+1Sck8648/q3j6aX3iihlMt0rW3xsajhvP17SEWFSMq6fRJptwA+lr0LNkSvq+dAcuoR9QTHvyk00AOiRQWUy3btlY/ZmAkYP0+/aBg9avI+vttee04t6PvTRFr4d9Cjm3T6Lozxa1x7TDlNepntpddJHSmaw6LQZ0dK/roQ/hHk/CVT4uvnKkXGLej7UzaBTmBvNvHtmv7lL6PnNZLr32KWnrpZsy6UEOMCfog2zE1uQ7XfuXLSNVkF2OffXafxx/+5Af3JfpJaqyJeW3sb4nlU6n/yYdzcAYjzTvey+1wiztfGvckAs3IkcYsOdkD6X/KQhl9AjMZzVmY65ri36ajVi3OjmXXnmciiMck33uhmgxPg+ZzHtfPQ8v+nGSnRrq2JAI/JMCFSQI8wXg+ohjXdGs1s4huALaPFo0fdoC7wQ5EU278pqINyWa7r3nu7a+G+6ZAhT+Wf95X3Vjp7U2HJ96NBoKIyMq3JG169XDfKLjWOL4ZZ3YKkXi74XQ2j/PG+tyOZdNwNM3ZI2LgjPW/SU6tHCqu+PiOzsYLVr/eNC/hAooUOjg0ktqobFy439LVRHd6v+hhdDdsC3P55s3o3cnt1A4w9BU9mchtfdKvgCEkf7R1ctDba8ECQDHbnifOSMLWpTeFf8mHdvrMTCl3jhdVvwd5P24Q7+0WDNYn9a5ofGhntwYat8mHfpDL0XHns7zf+uTJT4RcHe8FZy5HeNN6XR7yMvH8u+7L7bLmRcK63336lL+BaljvHBVq1C0QavX9S2GztS98ikZIK7TxL0v4t+WzinDbLaLr6t2scRZLrCHngOSKDggnBOoyzo3eejgeUu83LRdN2ZwZ0djMr6RRVA7+CDyE9PPELaiHSvY/r1U69B+vWb20e/3krZP2gAwDuvUd49q8GU/ir7cw2AnEn8ods7eTtFJpyfbqUJdv7F/enUenRHehIdVoWb8z/14XnUSkZmsXlj8kAiBQl4oeThDRzMNTweMMyb1yebJl6OWb+hjH2O542VICVpVT40PjyNHr2v9GEcvlcNMm7Aeo1EGVD5oupWYAznKVWBVx7inuOp2nZjWJsPTbUhE91cq1ABq6N7gE3n0mZEQ+45nuovbBfKsnxoInb3Xgl88W4yFQiHAlfqvI/9H3DevH9E0e7ASyHzHE/VEjN25h9bI9Br/RUb1HnpujegEJbrhwTmOZ69arDctZy++UyB2RXLqzbXxXFuZA8aY88zNeI91HQ3x/OqpeFJoce3o4ovH0rEXVPrzd7XBWQPGkfPMzLiPdT0M8eTOh9/yXP48qE0Og/DeOmsNiB70Bh7nqmR76GmuTmerRYf1t01xsu6hHnyoURKAd28s20ge9B4ep4Rke+hpp05nj4OweDIh1K5PXJBAeY60y6QPWg8Pc+IyPdQ098cTzaVwJEPpaLsJR9K9qDx9TwjIN9DTUNzPInkF/NnBtXYSz6U7EFj7HmmRryHmv7meE5/BFmJXcVPNcfzTXX2siB70KR6ntl6Vr6HmsZmO7JzsX2ML1lTWpIZdDPQG2TPWQ4tHmXoqjcaZ88zJfI91DTHzZ8DKR+OW5QPfTQFAMjbVTJ01RuNs+eZEsm3w+VV0w3K3wCzu9O5TMvyoVc+MQvIJeIMffVG4+t5piQAPdQKpDmeGoSv5xkffJ42057jmQayUj3PbD0r30OtYJjjqV04e55xwehp0wXSS7sw9jxjg8/TFlvPBbvJf67LQR/78PVr8rDQ8Jsty4de+DHy3h1VeKVM2XF4UbG/AwDoF7coH3pqmq+WrpQpS0zeNxqQNFJkD4f+thw6nmhNPnTEm5A+KVwGPCrNxftBbBb9jRwouenHT9ePW5QPPTqBRiRkFkt6o06Zfk1YuBn2DkcW5UP7ksr2quF5vmf9FMTHi0uhcLc/4s97RbjzoXyVlV82ucrRI2UqPNp2w0Sa3vfBmnxorcbXJekb9PfGI2UqPE73AA/XNS1A1cnW5EOvLcRcRwa7axPulKn4aDMb+ZIYsIEl+VC2ZzipCY+UqQi97HmUpv2syYcq1fGt4/UYuCZQ4o0rZSpAbnmHz/KLLaiOKnkY08yAa0QODSVAf2VFPlRd8ddF3v28UZ1VrxcyJ1dhZNPoW5A+15p8aLwczj6D6mvanDS5BaL4rHgNW2u8mbQoH5pwmMd7ihklO/y7sfFOaa3Kh8qqZxqTx3sy+VBtUkGw0gtJdOnXDF3PIAbHq1btYIs1xa3Zl+fP9F3vtZbRv2bO+VBrLxAOnx1ARKxwPCc+rxqTL610LyjL6F8z2nwowZaUbPhrFuFqz4t51QhGHiw86ddjy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*Architecture*\n\nL'architecture que nous avons utilisée est plutôt classique, même si nous avons parfois employé deux fois de suite une convolution maintenant le même nombre de channels en sortie qu'en entrée. Nous pensons que cela peut apporter davantage de non-linéarité dans le modèle et potentiellement nous permettre de mieux approximer la fonction réelle des données d'images.\n\nNous avons également tenté d'utiliser une architecture divisée en deux voies parallèles. Les deux voies de passage des données étaient quasi identiques, sauf pour la fonction de pooling utilisée, qui était l'average pooling. L'idée était de faire passer les données à travers l'architecture et les deux \"voies\" pour bénéficier des avantages des deux méthodes, puis de les concaténer pour obtenir des résultats. Malheureusement, cet essai ne s'est pas révélé fructueux. L'usage de l'average pooling a également été testé dans la même architecture qu'indiquée ci-dessous, mais utilisé vers le milieu du modèle pour apporter des informations supplémentaires.","metadata":{}},{"cell_type":"code","source":"class NN_GAP(nn.Module):\n    \n    def __init__(self):\n        super(NN_GAP, self).__init__()\n        \n        #https://pytorch.org/tutorials/recipes/recipes/tuning_guide.html\n        #If a nn.Conv2d layer is directly followed by a nn.BatchNorm2d layer, then the bias in the convolution is not needed, instead use nn.Conv2d(..., bias=False, ....). \n        #Bias is not needed because in the first step BatchNorm subtracts the mean, which effectively cancels out the effect of bias.\n        \n        self.conv_block32 = nn.Sequential(\n            nn.Conv2d(in_channels=3, out_channels=16, kernel_size=5, padding=\"same\", bias=False), #16/256/256\n            nn.BatchNorm2d(16),\n            nn.LeakyReLU(inplace=True),\n            nn.Conv2d(in_channels = 16, out_channels = 32, kernel_size = 5, padding=\"same\", bias=False), #32/256/256\n            nn.BatchNorm2d(32),\n            nn.LeakyReLU(inplace=True)\n            #Max pool : 32/(256/2)/(256/2)\n        )\n        \n        self.conv_block128 = nn.Sequential(\n            nn.Conv2d(in_channels = 32, out_channels = 64, kernel_size = 3, padding=\"same\", bias=False), #64/128/128\n            nn.BatchNorm2d(64),\n            nn.LeakyReLU(inplace=True),\n            nn.Conv2d(in_channels = 64, out_channels = 128, kernel_size = 3, padding=\"same\", bias=False), #128/128/128\n            nn.BatchNorm2d(128),\n            nn.LeakyReLU(inplace=True)\n            #Max pool : 128/(128/2)/(128/2)\n        )\n        \n        self.conv_block256 = nn.Sequential(\n            nn.Conv2d(in_channels = 128, out_channels = 256, kernel_size = 3, padding=\"same\", bias=False), #256/64/64\n            nn.BatchNorm2d(256),\n            nn.LeakyReLU(inplace=True)\n            #Max pool : 256/(64/2)/(64/2)\n        )\n        \n        self.conv_block512 = nn.Sequential(\n            nn.Conv2d(in_channels = 256, out_channels = 512, kernel_size = 3, padding=\"same\", bias=False), #512/32/32\n            nn.BatchNorm2d(512),\n            nn.LeakyReLU(inplace=True)\n            #Max pool : 512/(32/2)/(32/2)\n        )\n        \n        self.conv_block1024 = nn.Sequential(\n            nn.Conv2d(in_channels = 512, out_channels = 1024, kernel_size = 3, padding=\"same\", bias=False), #1024/16/16\n            nn.BatchNorm2d(1024),\n            nn.LeakyReLU(inplace=True),\n            nn.Conv2d(in_channels = 1024, out_channels = 1024, kernel_size = 3, padding=\"same\", bias=False), #1024/16/16\n            nn.BatchNorm2d(1024),\n            nn.LeakyReLU(inplace=True)\n            #Max pool : 1024/(16/2)/(16/2)\n        )\n        \n        self.conv_block2048 = nn.Sequential(\n            nn.Conv2d(in_channels = 1024, out_channels = 2048, kernel_size = 3, padding=\"same\", bias=False), #2048/8/8\n            nn.BatchNorm2d(2048),\n            nn.LeakyReLU(inplace=True),\n            nn.Conv2d(in_channels = 2048, out_channels = 2048, kernel_size = 3, padding=\"same\", bias=False), #2048/8/8\n            nn.BatchNorm2d(2048),\n            nn.LeakyReLU(inplace=True)\n        )\n        \n        self.max_pool = nn.MaxPool2d(2, 2)\n        self.gap = nn.AdaptiveAvgPool2d(1) #(2048/1/1)\n        \n        ## Last part reunited\n        self.fc_concat = nn.Linear(2048, 512)  # Correct input size after flattening\n        self.fc_final = nn.Linear(512, 5)  # Output for 5 classes\n        #self.softmax = nn.Softmax(dim=1) Pas besoin avec crossentropy car le fait automatiquement\n        \n        self.dropout_first_conv = nn.Dropout2d(p=0.05)\n        self.dropout_middle_conv = nn.Dropout2d(p=0.1) #On peut penser que les convolutions plus profondes apprennent des paterns \"complexes\", on pense donc qu'il y a plus de risque d'overfitting là dessus\n        self.dropout_lower_conv = nn.Dropout2d(p=0.2)\n        self.dropout_fc = nn.Dropout(p=0.5)\n        \n    def forward(self, x):\n        \n        x = self.max_pool(self.conv_block32(x))\n        x = self.max_pool(self.conv_block128(x))\n        x = self.dropout_first_conv(x)\n        x = self.max_pool(self.conv_block256(x))\n        x = self.max_pool(self.conv_block512(x))\n        x = self.dropout_middle_conv(x)\n        x = self.max_pool(self.conv_block1024(x))\n        x = self.conv_block2048(x)\n        x = self.dropout_lower_conv(x)\n        \n        #Bloc final\n        x_fin = self.gap(x)\n        x_fin = x_fin.view(x_fin.size(0), -1) \n        x_fin = self.fc_concat(x_fin)\n        x_fin = nn.LeakyReLU(inplace=True)(x_fin)\n        x_fin = self.fc_final(x_fin)\n        # CrossEntropyLoss() : The input is expected to contain the unnormalized logits for each class\n        \n        return x_fin","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:29.345126Z","iopub.execute_input":"2024-09-03T15:38:29.345417Z","iopub.status.idle":"2024-09-03T15:38:29.364928Z","shell.execute_reply.started":"2024-09-03T15:38:29.345393Z","shell.execute_reply":"2024-09-03T15:38:29.364065Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Afin de modifier les poids des différentes classes dans la fonction de perte, il est nécessaire de vérifier la répartition de ceux-ci dans la base d'entraînement et d'ajuster la fonction de perte en conséquence.","metadata":{}},{"cell_type":"code","source":"(train_dataset.shape[0]/train_dataset[\"level\"].value_counts()).sort_index()","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:29.365887Z","iopub.execute_input":"2024-09-03T15:38:29.366161Z","iopub.status.idle":"2024-09-03T15:38:29.380908Z","shell.execute_reply.started":"2024-09-03T15:38:29.366138Z","shell.execute_reply":"2024-09-03T15:38:29.379988Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Nous pouvons ensuite réaliser l'initialisation des paramètres restants avant l'entraînement comme la fonction de perte, l'optimizer, le scheduler et par la suite la fonction d'entraînement :","metadata":{}},{"cell_type":"code","source":"model = NN_GAP().to(device)\nbatch_size = 256\n\nloss_fn = nn.CrossEntropyLoss(weight = torch.tensor([1.360730,14.397294,6.637996,40.269495,49.597458], device=device), reduction = \"mean\")\noptimizer = optim.SGD(model.parameters(), lr=0.01, nesterov=True, momentum=0.9)\n\nscheduler = CosineAnnealingWarmRestarts(optimizer,\n                        T_0 = 10, #Time before restart \n                        T_mult=2, #At each restart T_0 is multiplied by T_mult \n                        eta_min=1e-6)","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:29.381826Z","iopub.execute_input":"2024-09-03T15:38:29.382105Z","iopub.status.idle":"2024-09-03T15:38:30.269937Z","shell.execute_reply.started":"2024-09-03T15:38:29.382072Z","shell.execute_reply":"2024-09-03T15:38:30.268915Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"def epoch_loop_graph(dataloader_train, dataloader_valid, train_dataset, test_dataset, model, loss_fn, optimizer, device, epoch):\n    \n    cohenkappa = MulticlassCohenKappa(5, weights=\"quadratic\").cuda() #Permettra de voir la métrique de la compétition à chaque epoch sur la base d'entraînement et de validation\n\n    ### Train part\n    model.train()\n    \n    # Permet de générer directement la valeur de la loss sur le GPU et ainsi évitait d'utiliser loss.item() qui nécessite la synchronization entre le CPU et le GPU et donc annule l'avantage du GPU\n    loss_total = torch.tensor(0.0,device=device)\n    \n    train_preds = torch.empty(0, dtype=torch.long, device=device)\n    train_labels = torch.empty(0, dtype=torch.long, device=device)\n\n    #Limite la précision des opérations réalisées ce qui peut amener à moins de mémoire utilisée et donc plus de rapidité\n    use_amp = True\n    scaler = torch.cuda.amp.GradScaler(enabled=use_amp)\n                \n    for batch, (X, y) in enumerate(dataloader_train): #Le shuffle est exécuté à chaque énumérations\n        with torch.autocast(device_type=device, dtype=torch.float16, enabled=use_amp):\n            \n            pred = model(X)\n            loss = loss_fn(pred, y)\n            \n        scaler.scale(loss).backward()\n        scaler.step(optimizer)\n        scaler.update()\n        optimizer.zero_grad(set_to_none=True)\n        loss_total += float(loss) #https://pytorch.org/docs/stable/notes/faq.html\n        \n        train_preds = torch.cat((train_preds, pred.argmax(1)))\n        train_labels = torch.cat((train_labels, y))\n    \n        scheduler.step(epoch + batch / len(dataloader_train)) #Même si le warm restart est appliqué par rapport au nombre d'epoch, le papier initial update le scheduler à chaque batch en conséquence\n            \n    avg_loss = (loss_total / (batch + 1)).item()\n    kappa_train = cohenkappa(train_preds,train_labels)\n    \n    print(f\"Training Phase : Avg loss : {avg_loss:>6f} | Cohen's Kappa Score: {kappa_train:.4f}\")    \n    \n    ### Test part\n    \n    model.eval()\n    num_batches = len(dataloader_valid)\n    test_loss, correct = torch.tensor(0.0,device=device), 0\n    test_preds = torch.empty(0, dtype=torch.long, device=device)\n    test_labels = torch.empty(0, dtype=torch.long, device=device)\n            \n    # Evaluating the model with torch.no_grad() ensures that no gradients are computed during test mode\n    # also serves to reduce unnecessary gradient computations and memory usage for tensors with requires_grad=True\n    with torch.no_grad() :\n        for batch, (X, y) in enumerate(dataloader_valid):\n            pred = model(X)\n            test_loss += loss_fn(pred, y)\n            correct += ((pred.argmax(1) == y).sum().item())\n            \n            test_preds = torch.cat((test_preds, pred.argmax(1)))\n            test_labels = torch.cat((test_labels, y))\n        \n    test_kappa = cohenkappa(test_preds,test_labels)\n    test_loss /= num_batches\n    correct /= len(test_dataset)\n    print(f\"Test Phase : Accuracy: {(100 * correct):>0.1f}% | Avg loss: {test_loss.item():>6f} | Cohen's Kappa Score: {test_kappa:.4f}\\n\")   ","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:30.273408Z","iopub.execute_input":"2024-09-03T15:38:30.273725Z","iopub.status.idle":"2024-09-03T15:38:30.288564Z","shell.execute_reply.started":"2024-09-03T15:38:30.273701Z","shell.execute_reply":"2024-09-03T15:38:30.287698Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Comme nous avons dû entraîner notre modèle durant de nombreuses epochs, nous avons sauvegardé les paramètres plusieurs fois. Il est donc possible de reprendre l'entraînement à partir de poids déjà préalablement entraînés.","metadata":{}},{"cell_type":"code","source":"all_state = torch.load(\"/kaggle/input/last-true-checkpoint/checkpoint_epoch_ (1).pt\")\nall_state.keys()","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:30.289704Z","iopub.execute_input":"2024-09-03T15:38:30.289968Z","iopub.status.idle":"2024-09-03T15:38:34.314006Z","shell.execute_reply.started":"2024-09-03T15:38:30.289945Z","shell.execute_reply":"2024-09-03T15:38:34.312947Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Il est à noter que la meilleure performance que nous avons obtenue a été réalisée en chargeant une sauvegarde des poids, en entraînant le modèle pendant deux ou trois epochs supplémentaires, puis en soumettant notre test. Malheureusement, nous n'avons pas enregistré les paramètres du modèle lorsque nous avons obtenu un score de 0,44 pour le Weighted Kappa. Toutefois, les résultats d'un nouvel essai devraient être assez proches de cette performance.","metadata":{}},{"cell_type":"code","source":"model.load_state_dict(all_state[\"model_state_dict\"])\noptimizer.load_state_dict(all_state[\"optimizer_state_dict\"])\nscheduler.load_state_dict(all_state[\"scheduler_state_dict\"])","metadata":{"execution":{"iopub.status.busy":"2024-09-03T15:38:34.315291Z","iopub.execute_input":"2024-09-03T15:38:34.315742Z","iopub.status.idle":"2024-09-03T15:38:34.328112Z","shell.execute_reply.started":"2024-09-03T15:38:34.315713Z","shell.execute_reply":"2024-09-03T15:38:34.327057Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"#torch.cuda.memory._record_memory_history(device=device)\nfor epochs in range(100):\n    print(f\"Epoch {epochs+174}\\n-------------------------------\")\n    epoch_loop_graph(train_dl, valid_dl, train_dataset, valid_dataset, model, loss_fn, optimizer, device, epochs)\nprint(\"Done!\")","metadata":{"execution":{"iopub.status.busy":"2024-08-31T14:58:33.496898Z","iopub.execute_input":"2024-08-31T14:58:33.497182Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"torch.save({\n        'model_state_dict': model.state_dict(),\n        'optimizer_state_dict': optimizer.state_dict(),\n        'scheduler_state_dict': scheduler.state_dict()\n    }, f'checkpoint_epoch_.pt')","metadata":{"execution":{"iopub.status.busy":"2024-08-28T23:02:50.025488Z","iopub.execute_input":"2024-08-28T23:02:50.026154Z","iopub.status.idle":"2024-08-28T23:02:51.163187Z","shell.execute_reply.started":"2024-08-28T23:02:50.026116Z","shell.execute_reply":"2024-08-28T23:02:51.162017Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# *Base de test et soumission*\n\nNous avons donc dû réaliser certaines modifications sur des éléments précédents afin de charger les images du test et pouvoir soumettre nos résultats.","metadata":{}},{"cell_type":"code","source":"file_sub=\"/kaggle/input/diabetic-retinopathy-detection/sampleSubmission.csv.zip\"\ndf_submission=pd.read_csv(file_sub,sep=',')\n\ndf_submission[\"image\"] = df_submission[\"image\"]+\".jpeg\" #Permet d'avoir directement le lien et nom des images dans le csv \ndf_submission","metadata":{"execution":{"iopub.status.busy":"2024-08-29T23:39:20.978347Z","iopub.execute_input":"2024-08-29T23:39:20.978962Z","iopub.status.idle":"2024-08-29T23:39:21.047981Z","shell.execute_reply.started":"2024-08-29T23:39:20.978928Z","shell.execute_reply":"2024-08-29T23:39:21.046892Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"class RetinopathyDataset_test(Dataset): #Class personnalisée\n\n    def __init__(self, csv_file, root_dir, transform=None, device=\"cpu\"):\n        \"\"\"\n        Arguments:\n            csv_file (string): Csv file with annotations.\n            root_dir (string): Directory with all the images.\n            transform (callable, optional): Optional transform to be applied on a sample.\n            device (string): Device to which data will be loaded ('cpu' or 'cuda')\n        \"\"\"\n        self.dataset = csv_file\n        self.root_dir = root_dir\n        self.transform = transform\n        self.device = device\n\n    def __len__(self): \n        return len(self.dataset)\n\n    def __getitem__(self, idx):\n        if torch.is_tensor(idx):\n            idx = idx.tolist()\n\n        img_name = os.path.join(self.root_dir, self.dataset.iloc[idx, 0])\n        image = io.read_image(img_name, mode=io.ImageReadMode.RGB)\n        classes = self.dataset.iloc[idx, 1]\n\n        image = self.transform(image)\n\n        return image, img_name","metadata":{"execution":{"iopub.status.busy":"2024-08-29T23:43:37.984414Z","iopub.execute_input":"2024-08-29T23:43:37.984763Z","iopub.status.idle":"2024-08-29T23:43:37.993922Z","shell.execute_reply.started":"2024-08-29T23:43:37.984735Z","shell.execute_reply":"2024-08-29T23:43:37.993022Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_tensors = RetinopathyDataset_test(csv_file=df_submission,\n                                    root_dir='/kaggle/input/diabetic-retinopathy-test-cropped-and-resized/Test_cropped/Test_256x256_cropped',\n                                    transform=test_transform,\n                                    device=\"cuda\")\n\ntest_loader = DataLoader(test_tensors, batch_size=256, shuffle=False, num_workers=4)\n\ntest_dl = DeviceDataLoader(test_loader, device)","metadata":{"execution":{"iopub.status.busy":"2024-08-29T23:43:37.994935Z","iopub.execute_input":"2024-08-29T23:43:37.995255Z","iopub.status.idle":"2024-08-29T23:43:38.012114Z","shell.execute_reply.started":"2024-08-29T23:43:37.995227Z","shell.execute_reply":"2024-08-29T23:43:38.011384Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"model.eval()\ntest_preds = torch.empty(0, dtype=torch.long, device=device)\n            \n# Evaluating the model with torch.no_grad() ensures that no gradients are computed during test mode\n# also serves to reduce unnecessary gradient computations and memory usage for tensors with requires_grad=True\nwith torch.no_grad() :\n    for batch, X in enumerate(test_dl):\n        pred = model(X)\n            \n        test_preds = torch.cat((test_preds, pred.argmax(1)))","metadata":{"execution":{"iopub.status.busy":"2024-08-29T23:41:09.791512Z","iopub.execute_input":"2024-08-29T23:41:09.792133Z","iopub.status.idle":"2024-08-29T23:43:37.982276Z","shell.execute_reply.started":"2024-08-29T23:41:09.792101Z","shell.execute_reply":"2024-08-29T23:43:37.981083Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"predictions = test_preds.detach().cpu().numpy()","metadata":{"execution":{"iopub.status.busy":"2024-08-29T23:46:30.069852Z","iopub.execute_input":"2024-08-29T23:46:30.070966Z","iopub.status.idle":"2024-08-29T23:46:30.076588Z","shell.execute_reply.started":"2024-08-29T23:46:30.070915Z","shell.execute_reply":"2024-08-29T23:46:30.075444Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_submission[\"level\"] = predictions","metadata":{"execution":{"iopub.status.busy":"2024-08-29T23:46:57.392538Z","iopub.execute_input":"2024-08-29T23:46:57.392920Z","iopub.status.idle":"2024-08-29T23:46:57.397897Z","shell.execute_reply.started":"2024-08-29T23:46:57.392892Z","shell.execute_reply":"2024-08-29T23:46:57.396919Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df_submission.to_csv('submission.csv', index=False)","metadata":{"execution":{"iopub.status.busy":"2024-08-29T23:47:02.928607Z","iopub.execute_input":"2024-08-29T23:47:02.928966Z","iopub.status.idle":"2024-08-29T23:47:03.017785Z","shell.execute_reply.started":"2024-08-29T23:47:02.928939Z","shell.execute_reply":"2024-08-29T23:47:03.017026Z"},"trusted":true},"execution_count":null,"outputs":[]}]}