






import json
import os
import re
import sys
import urllib.request

import requests
from bsa import BeautifulSoup

lowerCamelCase__							=     {
    """User-Agent""": """Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"""
    """ (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582"""
}






def   UpperCamelCase  (       snake_case__     :   str = "dhaka"	,snake_case__     :   int = 5  ):




     '''simple docstring'''






     __snake_case			:Dict          =						min(snake_case__	,50  )  # Prevent abuse!
     __snake_case			:Optional[Any]          =						{
         """q""": query,
         """tbm""": """isch""",
         """hl""": """en""",
         """ijn""": """0""",
     }

     __snake_case			:Optional[Any]          =						requests.get("""https://www.google.com/search"""	,params=snake_case__	,headers=snake_case__  )
     __snake_case			:Any          =						BeautifulSoup(html.text	,"""html.parser"""  )
     __snake_case			:List[str]          =						"""""".join(
         re.findall(R"""AF_initDataCallback\(([^<]+)\);"""	,str(soup.select("""script"""  )  )  )  )

     __snake_case			:Union[str, Any]          =						json.dumps(snake_case__  )
     __snake_case			:Union[str, Any]          =						json.loads(snake_case__  )

     __snake_case			:Tuple          =						re.findall(
         R"""\[\"GRID_STATE0\",null,\[\[1,\[0,\".*?\",(.*),\"All\","""	,snake_case__	,)
     if not matched_google_image_data:
          return 0

     __snake_case			:Dict          =						re.sub(
         R"""\[\"(https\:\/\/encrypted-tbn0\.gstatic\.com\/images\?.*?)\",\d+,\d+\]"""	,""""""	,str(snake_case__  )	,)

     __snake_case			:Optional[Any]          =						re.findall(
         R"""(?:'|,),\[\"(https:|http.*?)\",\d+,\d+\]"""	,snake_case__	,)
     for index, fixed_full_res_image in enumerate(snake_case__  ):
          if index >= max_images:
               return index
          __snake_case			:List[str]          =						bytes(snake_case__	,"""ascii"""  ).decode(
              """unicode-escape"""  )
          __snake_case			:Any          =						bytes(snake_case__	,"""ascii"""  ).decode(
              """unicode-escape"""  )
          __snake_case			:Tuple          =						urllib.request.build_opener()
          __snake_case			:str          =						[
              (
                  """User-Agent""",
                  """Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"""
                  """ (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582""",
              )
          ]
          urllib.request.install_opener(snake_case__  )
          __snake_case			:Optional[Any]          =						f'''query_{query.replace(' '	,'_'  )}'''
          if not os.path.exists(snake_case__  ):
               os.makedirs(snake_case__  )
          urllib.request.urlretrieve(  # noqa: S310
              snake_case__	,f'''{path_name}/original_size_img_{index}.jpg'''  )
     return index


if __name__ == "__main__":
     try:
          lowerCamelCase__							=     download_images_from_google_query(sys.argv[1])
          print(f'''{image_count} images were downloaded to disk.''')
     except IndexError:
          print("""Please provide a search term.""")
          raise










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


lowerCamelCase__							=     logging.get_logger(__name__)

lowerCamelCase__							=     {
    """uclanlp/visualbert-vqa""": """https://huggingface.co/uclanlp/visualbert-vqa/resolve/main/config.json""",
    """uclanlp/visualbert-vqa-pre""": """https://huggingface.co/uclanlp/visualbert-vqa-pre/resolve/main/config.json""",
    """uclanlp/visualbert-vqa-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-vqa-coco-pre/resolve/main/config.json"""
    ),
    """uclanlp/visualbert-vcr""": """https://huggingface.co/uclanlp/visualbert-vcr/resolve/main/config.json""",
    """uclanlp/visualbert-vcr-pre""": """https://huggingface.co/uclanlp/visualbert-vcr-pre/resolve/main/config.json""",
    """uclanlp/visualbert-vcr-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-vcr-coco-pre/resolve/main/config.json"""
    ),
    """uclanlp/visualbert-nlvr2""": """https://huggingface.co/uclanlp/visualbert-nlvr2/resolve/main/config.json""",
    """uclanlp/visualbert-nlvr2-pre""": """https://huggingface.co/uclanlp/visualbert-nlvr2-pre/resolve/main/config.json""",
    """uclanlp/visualbert-nlvr2-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-nlvr2-coco-pre/resolve/main/config.json"""
    )
    # See all VisualBERT models at https://huggingface.co/models?filter=visual_bert
}




class 			snake_case__   (							lowercase_):

       '''simple docstring'''
       lowerCamelCase							:				Optional[int] 				= "visual_bert"



       def __init__(							self			,						a__=3_05_22			,						a__=7_68			,						a__=5_12			,						a__=12			,						a__=12			,						a__=30_72			,						a__="gelu"			,						a__=0.1			,						a__=0.1			,						a__=5_12			,						a__=2			,						a__=0.02			,						a__=1e-12			,						a__=False			,						a__=True			,						a__=1			,						a__=0			,						a__=2			,						**a__			,						) ->      Any:






            '''simple docstring'''





            super().__init__(pad_token_id=a__			,						bos_token_id=a__			,						eos_token_id=a__			,						**a__    )

            __snake_case			:Tuple          =						vocab_size
            __snake_case			:Any          =						max_position_embeddings
            __snake_case			:int          =						hidden_size
            __snake_case			:List[str]          =						visual_embedding_dim
            __snake_case			:List[str]          =						num_hidden_layers
            __snake_case			:Tuple          =						num_attention_heads
            __snake_case			:str          =						intermediate_size
            __snake_case			:Union[str, Any]          =						hidden_act
            __snake_case			:Union[str, Any]          =						hidden_dropout_prob
            __snake_case			:str          =						attention_probs_dropout_prob
            __snake_case			:Tuple          =						initializer_range
            __snake_case			:str          =						type_vocab_size
            __snake_case			:Optional[Any]          =						layer_norm_eps
            __snake_case			:Union[str, Any]          =						bypass_transformer
            __snake_case			:Tuple          =						special_visual_initialize


