
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 a__    (       A_,     A_,     A_					):






  '''simple docstring'''





  __magic_name__				     =       1.5
  __magic_name__				     =       int(factor * num_class_images					)
  __magic_name__				     =       ClipClient(
      url="""https://knn.laion.ai/knn-service""",     indice_name="""laion_400m""",     num_images=A_,     aesthetic_weight=0.1					)

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

  while True:
    __magic_name__				     =       client.query(text=A_					)
    if len(A_					) >= factor * num_class_images or num_images > 1e4:
      break
    else:
      __magic_name__				     =       int(factor * num_images					)
      __magic_name__				     =       ClipClient(
          url="""https://knn.laion.ai/knn-service""",     indice_name="""laion_400m""",     num_images=A_,     aesthetic_weight=0.1,     )

  __magic_name__				     =       0
  __magic_name__				     =       0
  __magic_name__				     =       tqdm(desc="""downloading real regularization images""",     total=A_					)

  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:
      __magic_name__				     =       class_images[count]
      count += 1
      try:
        __magic_name__				     =       requests.get(images["""url"""]					)
        if img.status_code == 200:
          __magic_name__				     =       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 a__    (       ):






  '''simple docstring'''





  __magic_name__				     =       argparse.ArgumentParser("""""",     add_help=A_					)
  parser.add_argument("""--class_prompt""",     help="""text prompt to retrieve images""",     required=A_,     type=A_					)
  parser.add_argument("""--class_data_dir""",     help="""path to save images""",     required=A_,     type=A_					)
  parser.add_argument("""--num_class_images""",     help="""number of images to download""",     default=200,     type=A_					)
  return parser.parse_args()


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



def a__    (       A_					):






  '''simple docstring'''





  if not isinstance(A_,     A_					):
    raise ValueError("""Input series is not valid, valid series - [2, 4, 6]"""					)
  if len(A_					) == 0:
    raise ValueError("""Input list must be a non empty list"""					)
  if len(A_					) == 1:
    return True
  __magic_name__				     =       series[1] - series[0]
  for index in range(len(A_					) - 1					):
    if series[index + 1] - series[index] != common_diff:
      return False
  return True

def a__    (       A_					):






  '''simple docstring'''





  if not isinstance(A_,     A_					):
    raise ValueError("""Input series is not valid, valid series - [2, 4, 6]"""					)
  if len(A_					) == 0:
    raise ValueError("""Input list must be a non empty list"""					)
  __magic_name__				     =       0
  for val in series:
    answer += val
  return answer / len(A_					)


if __name__ == "__main__":
    import doctest

    doctest.testmod()

