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How to use prepare_folder method in localstack

Best Python code snippet using localstack_python

parse.py

Source:parse.py

...6import numpy as np7import torch8import torchvision9import torchvision.transforms as transforms10def prepare_folder(category):11  os.system("rm -rf %s" % category)12  os.system("mkdir %s" % category)13def create_images_handwriting(category):14  big_image = plt.imread('%s.jpg' % category)15  16  nx = 36 #rows17  ny = 41 #columns18  19  count = 020  for i in range(nx):21    for j in range(ny):22      small_image = big_image[32*i:32*(i+1), 32*j:32*(j+1), :]23      file_path = '%s/%06d' % (category, count)24      plt.imsave(file_path + '.png', small_image)25      os.system('convert %s.png %s.jpg' % (file_path, file_path))26      os.system('rm %s.png' % file_path)27      count += 128def transform_tensor_to_numpy(image):29  image = image / 2 + 0.530  np_image = image.numpy()31  return np.transpose(np_image, (1, 2, 0))32def create_images_torchvision(category, idx):33  transform = transforms.Compose(34    [transforms.ToTensor(),35     transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])36  images_set = torchvision.datasets.CIFAR10(root='./data', train=True, download=True, transform=transform)37  images_loader = torch.utils.data.DataLoader(images_set, batch_size=1, shuffle=False, num_workers=2)38  39  count = 040  for data in images_loader:41    image, label = data42    43    if label != idx:44      continue45    46    file_path = '%s/%06d' % (category, count)47    plt.imsave(file_path + '.png', transform_tensor_to_numpy(image[0]))48    os.system('convert %s.png %s.jpg' % (file_path, file_path))49    os.system('rm %s.png' % file_path)50    51    count += 152    if count == 1476:53      break54if __name__ == '__main__':55  category = sys.argv[1]56  if category in ('franz', 'nina', 'robert_scan', 'franz_scan'):57    prepare_folder(category)58    create_images_handwriting(category)59  60  classes = ('plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck')61  if category in classes:62    prepare_folder(category)63    create_images_torchvision(category, classes.index(category))...

config.py

Source:config.py

...15        return os.path.join(self.path_output, self.dataset_key, key, '{}.{}'.format(mode, dtype))16    def model_path(self, key):17        return os.path.join(self.path_model, self.dataset_key, key)18    @classmethod19    def prepare_folder(cls, paths):20        for path in paths:21            if not os.path.exists(path):22                os.mkdir(path)23    def prepare_data_folder(self):24        path = os.path.join(self.path_data, self.dataset_key)25        self.prepare_folder([path, ])26    def prepare_output_folder(self, output_key=None):27        paths = [self.path_output, os.path.join(self.path_output, self.dataset_key), ]28        if output_key is not None:29            path = os.path.join(paths[-1], output_key)30            paths.append(path)31        self.prepare_folder(paths)32    def prepare_model_folder(self, output_key=None):33        paths = [self.path_model,  os.path.join(self.path_model, self.dataset_key), ]34        if output_key is not None:35            path = os.path.join(paths[-1], output_key)36            paths.append(path)37        self.prepare_folder(paths)38    def output_folder(self, output_key):39        return os.path.join(self.path_output, self.dataset_key, output_key)40    def model_folder(self, output_key):...

prepare.py

Source:prepare.py

1import os2from Reptiles.Reptiles.data_manager import MongoManager3def prepare_folder():4    folder_list = ['./Reptiles/PDF', './Reptiles/PDF/ACM', './Reptiles/PDF/ScienceDirect', './Reptiles/PDF/Springer']5    for folder in folder_list:6        if not os.path.exists(folder):7            os.makedirs(folder)8def prepare_mongodb():9    db = MongoManager()10    db.mongodb_insert("Process", {11        'title': 'ACM',12        'year': 2000,13        'month': 1,14        'day': 1,15        'startPage': 0,16        'PageSize': 2017    })18    db.mongodb_insert("Process", {19        'title': 'Springer',20        'type': 'Journal',21        'page': 122    })23    db.mongodb_insert("Process", {24        'title': 'ScienceDirect',25        'year': '2021',26        'venue_id': 027    })28if __name__ == '__main__':29    prepare_mongodb()30    prepare_folder()...

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