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


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

_snake_case      :							Dict     	=    {
    "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/config.json",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}





class   UpperCamelCase_      (      __a		):







						'''simple docstring'''



						UpperCamelCase      :  str				   =					'''biogpt'''





						def __init__(			self							:Dict		,    lowerCAmelCase__							:Any=42384		,    lowerCAmelCase__							:List[str]=1024		,    lowerCAmelCase__							:Optional[int]=24		,    lowerCAmelCase__							:str=16		,    lowerCAmelCase__							:Union[str, Any]=4096		,    lowerCAmelCase__							:Dict="gelu"		,    lowerCAmelCase__							:Tuple=0.1		,    lowerCAmelCase__							:Any=0.1		,    lowerCAmelCase__							:Union[str, Any]=1024		,    lowerCAmelCase__							:Optional[Any]=0.02		,    lowerCAmelCase__							:Optional[int]=1E-1_2		,    lowerCAmelCase__							:List[Any]=True		,    lowerCAmelCase__							:str=True		,    lowerCAmelCase__							:int=0.0		,    lowerCAmelCase__							:Tuple=0.0		,    lowerCAmelCase__							:int=1		,    lowerCAmelCase__							:Union[str, Any]=0		,    lowerCAmelCase__							:Optional[Any]=2		,    **lowerCAmelCase__							:Tuple		,    )  ->Dict:
										lowercase         =      vocab_size
										lowercase         =      max_position_embeddings
										lowercase         =      hidden_size
										lowercase         =      num_hidden_layers
										lowercase         =      num_attention_heads
										lowercase         =      intermediate_size
										lowercase         =      hidden_act
										lowercase         =      hidden_dropout_prob
										lowercase         =      attention_probs_dropout_prob
										lowercase         =      initializer_range
										lowercase         =      layer_norm_eps
										lowercase         =      scale_embedding
										lowercase         =      use_cache
										lowercase         =      layerdrop
										lowercase         =      activation_dropout
										super().__init__(pad_token_id=lowerCAmelCase__		,    bos_token_id=lowerCAmelCase__		,    eos_token_id=lowerCAmelCase__		,    **lowerCAmelCase__     )


def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				lowercase         =      set()
				# To detect a back edge, keep track of vertices currently in the recursion stack
				lowercase         =      set()
				return any(
				    node not in visited and depth_first_search(__magic_name__		,    __magic_name__		,    __magic_name__		,    __magic_name__						)
				    for node in graph						)

def  __snake_case							(	__magic_name__		,    __magic_name__		,    __magic_name__		,    __magic_name__						):







				'''simple docstring'''


				visited.add(__magic_name__						)
				rec_stk.add(__magic_name__						)

				for node in graph[vertex]:
								if node not in visited:
												if depth_first_search(__magic_name__		,    __magic_name__		,    __magic_name__		,    __magic_name__						):
																return True
								elif node in rec_stk:
												return True

    # The node needs to be removed from recursion stack before function ends
				rec_stk.remove(__magic_name__						)
				return False


if __name__ == "__main__":
						from doctest import testmod

						testmod()
