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   lowerCAmelCase_					(	__A,    __A,    __A				)	->							int:







      '''simple docstring'''


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

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

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

      UpperCAmelCase__								=    0
      UpperCAmelCase__								=    0
      UpperCAmelCase__								=    tqdm(desc="downloading real regularization images",    total=_lowercase				)

      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__								=    class_images[count]
                  count += 1
                  try:
                        UpperCAmelCase__								=    requests.get(images["url"]				)
                        if img.status_code == 200:
                              UpperCAmelCase__								=    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   lowerCAmelCase_					(	)	->							Tuple:







      '''simple docstring'''


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


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










"""simple docstring"""




def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list[int]   )					->float:






	'''simple docstring'''






	if not nums:  # Makes sure that the list is not empty
		raise ValueError("List is empty"   )

	a :						Dict      =							sum(_lowercase   ) / len(_lowercase   )  # Calculate the average
	return sum(abs(x - average   ) for x in nums   ) / len(_lowercase   )


if __name__ == "__main__":
		import doctest

		doctest.testmod()


