


"""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        lowerCamelCase_(		_lowerCamelCase			,		_lowerCamelCase			,		_lowerCamelCase       )    ->     Any:
   '''simple docstring'''





   _lowerCamelCase   :				Union[str, Any]							=     1.5
   _lowerCamelCase   :				Tuple							=     int(factor * num_class_images       )
   _lowerCamelCase   :				Union[str, Any]							=     ClipClient(
       url="https://knn.laion.ai/knn-service"			,		indice_name="laion_400m"			,		num_images=_lowerCamelCase			,		aesthetic_weight=0.1       )

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

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

   _lowerCamelCase   :				List[Any]							=     0
   _lowerCamelCase   :				int							=     0
   _lowerCamelCase   :				Any							=     tqdm(desc="downloading real regularization images"			,		total=_lowerCamelCase       )

   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:
         _lowerCamelCase   :				List[Any]							=     class_images[count]
         count += 1
         try:
            _lowerCamelCase   :				int							=     requests.get(images["url"]       )
            if img.status_code == 200:
               _lowerCamelCase   :				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        lowerCamelCase_(		)    ->     Tuple:
   '''simple docstring'''





   _lowerCamelCase   :				Union[str, Any]							=     argparse.ArgumentParser(""			,		add_help=_lowerCamelCase       )
   parser.add_argument("--class_prompt"			,		help="text prompt to retrieve images"			,		required=_lowerCamelCase			,		type=_lowerCamelCase       )
   parser.add_argument("--class_data_dir"			,		help="path to save images"			,		required=_lowerCamelCase			,		type=_lowerCamelCase       )
   parser.add_argument("--num_class_images"			,		help="number of images to download"			,		default=200			,		type=_lowerCamelCase       )
   return parser.parse_args()


if __name__ == "__main__":
  _lowerCAmelCase							:    Tuple					   =	parse_args()
  retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)
'''simple docstring'''


import warnings

from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor


__snake_case						  =		logging.get_logger(__name__)





class       _a    (		__a      ):


  """simple docstring"""

  def __init__(		self      :       int   ,				*lowercase_      :       Tuple   ,				**lowercase_      :       List[Any]      ):







    '''simple docstring'''


    warnings.warn(
        """The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
        """ Please use PoolFormerImageProcessor instead."""   ,				lowercase_   ,				)
    super().__init__(*lowercase_   ,				**lowercase_      )

