


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


__UpperCAmelCase : Union[str, Any] 			=				logging.get_logger(__name__)

__UpperCAmelCase : Tuple 			=				{
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}



class    UpperCAmelCase_	(							_a):
       '''simple docstring'''
       __UpperCamelCase      :     List[str]							=					"megatron-bert"






       def __init__(     self ,					__SCREAMING_SNAKE_CASE=29_056 ,					__SCREAMING_SNAKE_CASE=1_024 ,					__SCREAMING_SNAKE_CASE=24 ,					__SCREAMING_SNAKE_CASE=16 ,					__SCREAMING_SNAKE_CASE=4_096 ,					__SCREAMING_SNAKE_CASE="gelu" ,					__SCREAMING_SNAKE_CASE=0.1 ,					__SCREAMING_SNAKE_CASE=0.1 ,					__SCREAMING_SNAKE_CASE=512 ,					__SCREAMING_SNAKE_CASE=2 ,					__SCREAMING_SNAKE_CASE=0.02 ,					__SCREAMING_SNAKE_CASE=1e-12 ,					__SCREAMING_SNAKE_CASE=0 ,					__SCREAMING_SNAKE_CASE="absolute" ,					__SCREAMING_SNAKE_CASE=True ,					**__SCREAMING_SNAKE_CASE ,					):




              """simple docstring"""




              super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE ,					**__SCREAMING_SNAKE_CASE						)

              UpperCamelCase    :	List[str]   	=		vocab_size
              UpperCamelCase    :	Tuple   	=		hidden_size
              UpperCamelCase    :	Optional[int]   	=		num_hidden_layers
              UpperCamelCase    :	Tuple   	=		num_attention_heads
              UpperCamelCase    :	Any   	=		hidden_act
              UpperCamelCase    :	Tuple   	=		intermediate_size
              UpperCamelCase    :	Tuple   	=		hidden_dropout_prob
              UpperCamelCase    :	Union[str, Any]   	=		attention_probs_dropout_prob
              UpperCamelCase    :	Optional[Any]   	=		max_position_embeddings
              UpperCamelCase    :	List[Any]   	=		type_vocab_size
              UpperCamelCase    :	List[Any]   	=		initializer_range
              UpperCamelCase    :	Tuple   	=		layer_norm_eps
              UpperCamelCase    :	Optional[Any]   	=		position_embedding_type
              UpperCamelCase    :	Tuple   	=		use_cache





import requests
from bsa import BeautifulSoup


def      a	(							SCREAMING_SNAKE_CASE_      :		str = "AAPL"       ):






       """simple docstring"""





       UpperCamelCase    :	Dict   	=		F"""https://in.finance.yahoo.com/quote/{symbol}?s={symbol}"""
       UpperCamelCase    :	Any   	=		BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE_       ).text							,			'''html.parser'''       )
       UpperCamelCase    :	Dict   	=		'''My(6px) Pos(r) smartphone_Mt(6px)'''
       return soup.find('''div'''							,			class_=class_       ).find('''span'''       ).text


if __name__ == "__main__":
  for symbol in "AAPL AMZN IBM GOOG MSFT ORCL".split():
    print(f'''Current {symbol:<4} stock price is {stock_price(symbol):>8}''')

