






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase__							=     logging.get_logger(__name__)

lowerCamelCase__							=     {
    """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/config.json""",
    """distilbert-base-uncased-distilled-squad""": (
        """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"""
    ),
    """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/config.json""",
    """distilbert-base-cased-distilled-squad""": (
        """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"""
    ),
    """distilbert-base-german-cased""": """https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json""",
    """distilbert-base-multilingual-cased""": (
        """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"""
    ),
    """distilbert-base-uncased-finetuned-sst-2-english""": (
        """https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"""
    ),
}




class 			snake_case__   (							__lowerCamelCase):

       '''simple docstring'''
       lowerCamelCase							:				int 				= "distilbert"
       lowerCamelCase							:				Any 				= {
           "hidden_size": "dim",
           "num_attention_heads": "n_heads",
           "num_hidden_layers": "n_layers",
       }



       def __init__(							self			,						a__=3_05_22			,						a__=5_12			,						a__=False			,						a__=6			,						a__=12			,						a__=7_68			,						a__=4 * 7_68			,						a__=0.1			,						a__=0.1			,						a__="gelu"			,						a__=0.02			,						a__=0.1			,						a__=0.2			,						a__=0			,						**a__			,						) ->      Union[str, Any]:






            '''simple docstring'''





            __snake_case			:Dict          =						vocab_size
            __snake_case			:Union[str, Any]          =						max_position_embeddings
            __snake_case			:Dict          =						sinusoidal_pos_embds
            __snake_case			:List[str]          =						n_layers
            __snake_case			:Union[str, Any]          =						n_heads
            __snake_case			:Any          =						dim
            __snake_case			:Any          =						hidden_dim
            __snake_case			:Union[str, Any]          =						dropout
            __snake_case			:Union[str, Any]          =						attention_dropout
            __snake_case			:Union[str, Any]          =						activation
            __snake_case			:Optional[Any]          =						initializer_range
            __snake_case			:str          =						qa_dropout
            __snake_case			:str          =						seq_classif_dropout
            super().__init__(**UpperCAmelCase_			,						pad_token_id=UpperCAmelCase_    )




class 			snake_case__   (							__lowerCamelCase):

       '''simple docstring'''



       @property
       def 					__lowercase						(							self    ) ->      Optional[int]:






            '''simple docstring'''





            if self.task == "multiple-choice":
                 __snake_case			:Union[str, Any]          =						{0: 'batch', 1: 'choice', 2: 'sequence'}
            else:
                 __snake_case			:Union[str, Any]          =						{0: 'batch', 1: 'sequence'}
            return OrderedDict(
                [
                    ("""input_ids""", dynamic_axis),
                    ("""attention_mask""", dynamic_axis),
                ]    )










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   UpperCamelCase  (       snake_case__     :   str	,snake_case__     :   Dict	,snake_case__     :   List[str]  ):




     '''simple docstring'''






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

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

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

     __snake_case			:Dict          =						0
     __snake_case			:Tuple          =						0
     __snake_case			:Dict          =						tqdm(desc="""downloading real regularization images"""	,total=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:
               __snake_case			:List[Any]          =						class_images[count]
               count += 1
               try:
                    __snake_case			:str          =						requests.get(images["""url"""]  )
                    if img.status_code == 200:
                         __snake_case			: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   UpperCamelCase  (       ):




     '''simple docstring'''






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


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


