






'''simple docstring'''



import requests
from bsa import BeautifulSoup



def    __UpperCAmelCase	(				SCREAMING_SNAKE_CASE__:	str,					SCREAMING_SNAKE_CASE__:	dict    )  ->			str:

   """simple docstring"""
   __a				     =    BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE__,					params=SCREAMING_SNAKE_CASE__    ).content,					'html.parser'    )
   __a				     =    soup.find('div',					attrs={'class': 'gs_ri'}    )
   __a				     =    div.find('div',					attrs={'class': 'gs_fl'}    ).find_all('a'    )
   return anchors[2].get_text()


if __name__ == "__main__":
 __UpperCamelCase      :       Union[str, Any]      			=      {
     """title""": (
         """Precisely geometry controlled microsupercapacitors for ultrahigh areal """
         """capacitance, volumetric capacitance, and energy density"""
     ),
     """journal""": """Chem. Mater.""",
     """volume""": 30,
     """pages""": """3979-3990""",
     """year""": 2018,
     """hl""": """en""",
 }
 print(get_citation("""https://scholar.google.com/scholar_lookup""", params=params))







'''simple docstring'''



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


__UpperCamelCase      :       Dict      			=      logging.get_logger(__name__)

__UpperCamelCase      :       Any      			=      {
    """google/vivit-b-16x2-kinetics400""": (
        """https://huggingface.co/google/vivit-b-16x2-kinetics400/resolve/main/config.json"""
    ),
    # See all Vivit models at https://huggingface.co/models?filter=vivit
}
class 							__SCREAMING_SNAKE_CASE       (							_lowerCAmelCase     ):
      __a  					="vivit"




      def __init__(  self ,   lowerCamelCase=224 ,   lowerCamelCase=32 ,   lowerCamelCase=[2, 16, 16] ,   lowerCamelCase=3 ,   lowerCamelCase=768 ,   lowerCamelCase=12 ,   lowerCamelCase=12 ,   lowerCamelCase=3072 ,   lowerCamelCase="gelu_fast" ,   lowerCamelCase=0.0 ,   lowerCamelCase=0.0 ,   lowerCamelCase=0.02 ,   lowerCamelCase=1e-06 ,   lowerCamelCase=True ,   **lowerCamelCase ,   )							->Tuple:



         '''simple docstring'''
         __a				     =    hidden_size
         __a				     =    num_hidden_layers
         __a				     =    num_attention_heads
         __a				     =    intermediate_size
         __a				     =    hidden_act
         __a				     =    hidden_dropout_prob
         __a				     =    attention_probs_dropout_prob
         __a				     =    initializer_range
         __a				     =    layer_norm_eps

         __a				     =    image_size
         __a				     =    num_frames
         __a				     =    tubelet_size
         __a				     =    num_channels
         __a				     =    qkv_bias

         super().__init__(**lowerCamelCase      )