






"""simple docstring"""




import argparse
import os
from io import BytesIO
from pathlib import Path

import requests
from clip_retrieval.clip_client import ClipClient
from PIL import Image
from tqdm import tqdm

def   snake_case (UpperCAmelCase__     ,   UpperCAmelCase__     ,   UpperCAmelCase__  )	->    Optional[int]:
  UpperCamelCase_: int   				=    1.5
  UpperCamelCase_: Optional[int]   				=    int(factor * num_class_images  )
  UpperCamelCase_: str   				=    ClipClient(
      url='https://knn.laion.ai/knn-service'     ,   indice_name='laion_400m'     ,   num_images=SCREAMING_SNAKE_CASE_     ,   aesthetic_weight=0.1  )

  os.makedirs(F'''{class_data_dir}/images'''     ,   exist_ok=SCREAMING_SNAKE_CASE_  )
  if len(list(Path(F'''{class_data_dir}/images'''  ).iterdir()  )  ) >= num_class_images:
    return

  while True:
    UpperCamelCase_: Any   				=    client.query(text=SCREAMING_SNAKE_CASE_  )
    if len(SCREAMING_SNAKE_CASE_  ) >= factor * num_class_images or num_images > 1E4:
      break
    else:
      UpperCamelCase_: Any   				=    int(factor * num_images  )
      UpperCamelCase_: Union[str, Any]   				=    ClipClient(
          url='https://knn.laion.ai/knn-service'     ,   indice_name='laion_400m'     ,   num_images=SCREAMING_SNAKE_CASE_     ,   aesthetic_weight=0.1     ,   )

  UpperCamelCase_: int   				=    0
  UpperCamelCase_: int   				=    0
  UpperCamelCase_: Optional[int]   				=    tqdm(desc='downloading real regularization images'     ,   total=SCREAMING_SNAKE_CASE_  )

  with open(F'''{class_data_dir}/caption.txt'''     ,   'w'  ) as fa, open(F'''{class_data_dir}/urls.txt'''     ,   'w'  ) as fa, open(
      F'''{class_data_dir}/images.txt'''     ,   'w'  ) as fa:
    while total < num_class_images:
      UpperCamelCase_: str   				=    class_images[count]
      count += 1
      try:
        UpperCamelCase_: Optional[int]   				=    requests.get(images['url']  )
        if img.status_code == 2_0_0:
          UpperCamelCase_: Optional[Any]   				=    Image.open(BytesIO(img.content  )  )
          with open(F'''{class_data_dir}/images/{total}.jpg'''     ,   'wb'  ) as f:
            f.write(img.content  )
          fa.write(images['caption'] + '\n'  )
          fa.write(images['url'] + '\n'  )
          fa.write(F'''{class_data_dir}/images/{total}.jpg''' + '\n'  )
          total += 1
          pbar.update(1  )
        else:
          continue
      except Exception:
        continue
  return

def   snake_case ()	->    Dict:
  UpperCamelCase_: Tuple   				=    argparse.ArgumentParser(''     ,   add_help=SCREAMING_SNAKE_CASE_  )
  parser.add_argument('--class_prompt'     ,   help='text prompt to retrieve images'     ,   required=SCREAMING_SNAKE_CASE_     ,   type=SCREAMING_SNAKE_CASE_  )
  parser.add_argument('--class_data_dir'     ,   help='path to save images'     ,   required=SCREAMING_SNAKE_CASE_     ,   type=SCREAMING_SNAKE_CASE_  )
  parser.add_argument('--num_class_images'     ,   help='number of images to download'     ,   default=2_0_0     ,   type=SCREAMING_SNAKE_CASE_  )
  return parser.parse_args()


if __name__ == "__main__":
   A_		:		Tuple		     =			parse_args()
   retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)







# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


A_		:		Any		     =			'Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine'

def   snake_case ()	->    Union[str, Any]:
  UpperCamelCase_: Tuple   				=    _ask_options(
      'In which compute environment are you running?'     ,   ['This machine', 'AWS (Amazon SageMaker)']     ,   _convert_compute_environment     ,   )
  if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
    UpperCamelCase_: List[str]   				=    get_sagemaker_input()
  else:
    UpperCamelCase_: List[str]   				=    get_cluster_input()
  return config

def   snake_case (UpperCAmelCase__=None  )	->    Union[str, Any]:
  if subparsers is not None:
    UpperCamelCase_: List[Any]   				=    subparsers.add_parser('config'     ,   description=UpperCAmelCase__  )
  else:
    UpperCamelCase_: List[Any]   				=    argparse.ArgumentParser('Accelerate config command'     ,   description=UpperCAmelCase__  )

  parser.add_argument(
      '--config_file'     ,   default=UpperCAmelCase__     ,   help=(
          'The path to use to store the config file. Will default to a file named default_config.yaml in the cache '
          'location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '
          'such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '
          'with \'huggingface\'.'
      )     ,   )

  if subparsers is not None:
    parser.set_defaults(func=UpperCAmelCase__  )
  return parser

def   snake_case (UpperCAmelCase__  )	->    List[Any]:
  UpperCamelCase_: Union[str, Any]   				=    get_user_input()
  if args.config_file is not None:
    UpperCamelCase_: Tuple   				=    args.config_file
  else:
    if not os.path.isdir(UpperCAmelCase__  ):
      os.makedirs(UpperCAmelCase__  )
    UpperCamelCase_: Dict   				=    default_yaml_config_file

  if config_file.endswith('.json'  ):
    config.to_json_file(UpperCAmelCase__  )
  else:
    config.to_yaml_file(UpperCAmelCase__  )
  print(F'''accelerate configuration saved at {config_file}'''  )

def   snake_case ()	->    str:
  UpperCamelCase_: Tuple   				=    config_command_parser()
  UpperCamelCase_: int   				=    parser.parse_args()
  config_command(UpperCAmelCase__  )


if __name__ == "__main__":
   main()