
'''simple docstring'''




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


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

lowercase			:				List[str]    		=			{
    'facebook/timesformer': 'https://huggingface.co/facebook/timesformer/resolve/main/config.json',
}





class  A				(							__snake_case						):
     __magic_name__						=		'''timesformer'''





     def __init__(							self						,			SCREAMING_SNAKE_CASE=224						,			SCREAMING_SNAKE_CASE=16						,			SCREAMING_SNAKE_CASE=3						,			SCREAMING_SNAKE_CASE=8						,			SCREAMING_SNAKE_CASE=768						,			SCREAMING_SNAKE_CASE=12						,			SCREAMING_SNAKE_CASE=12						,			SCREAMING_SNAKE_CASE=3072						,			SCREAMING_SNAKE_CASE="gelu"						,			SCREAMING_SNAKE_CASE=0.0						,			SCREAMING_SNAKE_CASE=0.0						,			SCREAMING_SNAKE_CASE=0.02						,			SCREAMING_SNAKE_CASE=1e-6						,			SCREAMING_SNAKE_CASE=True						,			SCREAMING_SNAKE_CASE="divided_space_time"						,			SCREAMING_SNAKE_CASE=0						,			**SCREAMING_SNAKE_CASE						,			) ->				int:






         """simple docstring"""






         super().__init__(**SCREAMING_SNAKE_CASE	)

         A       :   List[Any]					=						image_size
         A       :   Any					=						patch_size
         A       :   List[str]					=						num_channels
         A       :   Tuple					=						num_frames

         A       :   Union[str, Any]					=						hidden_size
         A       :   Tuple					=						num_hidden_layers
         A       :   Any					=						num_attention_heads
         A       :   Optional[int]					=						intermediate_size
         A       :   List[Any]					=						hidden_act
         A       :   Optional[Any]					=						hidden_dropout_prob
         A       :   List[str]					=						attention_probs_dropout_prob
         A       :   Any					=						initializer_range
         A       :   Optional[int]					=						layer_norm_eps
         A       :   Optional[int]					=						qkv_bias

         A       :   List[Any]					=						attention_type
         A       :   Optional[Any]					=						drop_path_rate






'''simple docstring'''




import requests
from bsa import BeautifulSoup







def 		lowerCAmelCase_				(   snake_case__		,				snake_case__						):




    '''simple docstring'''



    A       :   str					=						BeautifulSoup(requests.get(snake_case__		,				params=snake_case__						).content		,				'''html.parser'''						)
    A       :   Dict					=						soup.find('''div'''		,				attrs={'''class''': '''gs_ri'''}						)
    A       :   Optional[int]					=						div.find('''div'''		,				attrs={'''class''': '''gs_fl'''}						).find_all('''a'''						)
    return anchors[2].get_text()


if __name__ == "__main__":
      lowercase			:				str    		=			{
          'title': (
              'Precisely geometry controlled microsupercapacitors for ultrahigh areal '
              'capacitance, volumetric capacitance, and energy density'
          ),
          'journal': 'Chem. Mater.',
          'volume': 30,
          'pages': '3979-3990',
          'year': 20_18,
          'hl': 'en',
      }
      print(get_citation('https://scholar.google.com/scholar_lookup', params=params))




