


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__						: Dict						,						A__						: List[Any]						,						A__						: Tuple					)     ->    List[str]:
   lowerCamelCase_						:   Tuple		= 1.5
   lowerCamelCase_						:   Union[str, Any]		= int(factor * num_class_images					)
   lowerCamelCase_						:   int		= 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:
      lowerCamelCase_						:   List[Any]		= client.query(text=A__					)
      if len(A__					) >= factor * num_class_images or num_images > 1e4:
         break
      else:
         lowerCamelCase_						:   List[str]		= int(factor * num_images					)
         lowerCamelCase_						:   Optional[int]		= ClipClient(
             url="""https://knn.laion.ai/knn-service"""						,						indice_name="""laion_400m"""						,						num_images=A__						,						aesthetic_weight=0.1						,						)

   lowerCamelCase_						:   List[Any]		= 0
   lowerCamelCase_						:   Any		= 0
   lowerCamelCase_						:   List[str]		= 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:
         lowerCamelCase_						:   Tuple		= class_images[count]
         count += 1
         try:
            lowerCamelCase_						:   Dict		= requests.get(images["""url"""]					)
            if img.status_code == 200:
               lowerCamelCase_						:   Optional[int]		= 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   (      )     ->    Any:
   lowerCamelCase_						:   str		= 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__":
      snake_case__				:	Dict					       =					parse_args()
      retrieve(args.class_prompt, args.class_data_dir, args.num_class_images)









from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case__				:	List[Any]					       =					logging.get_logger(__name__)

snake_case__				:	str					       =					{
    'facebook/dpr-ctx_encoder-single-nq-base': (
        'https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json'
    ),
    'facebook/dpr-question_encoder-single-nq-base': (
        'https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json'
    ),
    'facebook/dpr-reader-single-nq-base': (
        'https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json'
    ),
    'facebook/dpr-ctx_encoder-multiset-base': (
        'https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json'
    ),
    'facebook/dpr-question_encoder-multiset-base': (
        'https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json'
    ),
    'facebook/dpr-reader-multiset-base': (
        'https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json'
    ),
}





class   SCREAMING_SNAKE_CASE_			(a__						):




       '''simple docstring'''



       _a   							=							"dpr"



       def __init__(						self				:				Union[str, Any]		,				__a				:				Optional[Any]=30_522		,				__a				:				List[Any]=768		,				__a				:				List[Any]=12		,				__a				:				Dict=12		,				__a				:				Union[str, Any]=3_072		,				__a				:				Any="gelu"		,				__a				:				Any=0.1		,				__a				:				Any=0.1		,				__a				:				Tuple=512		,				__a				:				int=2		,				__a				:				Optional[Any]=0.02		,				__a				:				List[Any]=1e-12		,				__a				:				int=0		,				__a				:				int="absolute"		,				__a				:				int = 0		,				**__a				:				Optional[int]		,				)					->Tuple:
          super().__init__(pad_token_id=__a		,				**__a							)

          lowerCamelCase_						:   str		= vocab_size
          lowerCamelCase_						:   List[Any]		= hidden_size
          lowerCamelCase_						:   Optional[int]		= num_hidden_layers
          lowerCamelCase_						:   Optional[Any]		= num_attention_heads
          lowerCamelCase_						:   List[Any]		= hidden_act
          lowerCamelCase_						:   Optional[Any]		= intermediate_size
          lowerCamelCase_						:   List[Any]		= hidden_dropout_prob
          lowerCamelCase_						:   Any		= attention_probs_dropout_prob
          lowerCamelCase_						:   Any		= max_position_embeddings
          lowerCamelCase_						:   Tuple		= type_vocab_size
          lowerCamelCase_						:   Dict		= initializer_range
          lowerCamelCase_						:   List[Any]		= layer_norm_eps
          lowerCamelCase_						:   List[str]		= projection_dim
          lowerCamelCase_						:   Optional[int]		= position_embedding_type





