



import warnings

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


__A       =						logging.get_logger(__name__)

__A       =						{
    '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json''',
}






class 		lowercase						(			__SCREAMING_SNAKE_CASE):






	"""simple docstring"""


	a__				: str		       =							"mvp"
	a__				: Any		       =							["past_key_values"]
	a__				: Union[str, Any]		       =							{"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}




	def __init__(     self     :						Optional[Any]						,  __UpperCAmelCase     :						Any=50_267						,  __UpperCAmelCase     :						Any=1_024						,  __UpperCAmelCase     :						Any=12						,  __UpperCAmelCase     :						Dict=4_096						,  __UpperCAmelCase     :						int=16						,  __UpperCAmelCase     :						List[str]=12						,  __UpperCAmelCase     :						List[Any]=4_096						,  __UpperCAmelCase     :						List[Any]=16						,  __UpperCAmelCase     :						Dict=0.0						,  __UpperCAmelCase     :						Optional[Any]=0.0						,  __UpperCAmelCase     :						Tuple="gelu"						,  __UpperCAmelCase     :						Dict=1_024						,  __UpperCAmelCase     :						List[str]=0.1						,  __UpperCAmelCase     :						Optional[Any]=0.0						,  __UpperCAmelCase     :						Any=0.0						,  __UpperCAmelCase     :						Tuple=0.02						,  __UpperCAmelCase     :						int=0.0						,  __UpperCAmelCase     :						Optional[int]=False						,  __UpperCAmelCase     :						int=True						,  __UpperCAmelCase     :						Optional[Any]=1						,  __UpperCAmelCase     :						str=0						,  __UpperCAmelCase     :						List[str]=2						,  __UpperCAmelCase     :						Optional[Any]=True						,  __UpperCAmelCase     :						Optional[int]=2						,  __UpperCAmelCase     :						List[str]=2						,  __UpperCAmelCase     :						Dict=False						,  __UpperCAmelCase     :						Tuple=100						,  __UpperCAmelCase     :						Any=800						,  **__UpperCAmelCase     :						Optional[Any]						,  )      ->			Union[str, Any]:
							UpperCAmelCase_=       vocab_size
							UpperCAmelCase_=       max_position_embeddings
							UpperCAmelCase_=       d_model
							UpperCAmelCase_=       encoder_ffn_dim
							UpperCAmelCase_=       encoder_layers
							UpperCAmelCase_=       encoder_attention_heads
							UpperCAmelCase_=       decoder_ffn_dim
							UpperCAmelCase_=       decoder_layers
							UpperCAmelCase_=       decoder_attention_heads
							UpperCAmelCase_=       dropout
							UpperCAmelCase_=       attention_dropout
							UpperCAmelCase_=       activation_dropout
							UpperCAmelCase_=       activation_function
							UpperCAmelCase_=       init_std
							UpperCAmelCase_=       encoder_layerdrop
							UpperCAmelCase_=       decoder_layerdrop
							UpperCAmelCase_=       classifier_dropout
							UpperCAmelCase_=       use_cache
							UpperCAmelCase_=       encoder_layers
							UpperCAmelCase_=       scale_embedding  # scale factor will be sqrt(d_model) if True
							UpperCAmelCase_=       use_prompt
							UpperCAmelCase_=       prompt_length
							UpperCAmelCase_=       prompt_mid_dim

							super().__init__(
							    pad_token_id=UpperCamelCase__						,  bos_token_id=UpperCamelCase__						,  eos_token_id=UpperCamelCase__						,  is_encoder_decoder=UpperCamelCase__						,  decoder_start_token_id=UpperCamelCase__						,  forced_eos_token_id=UpperCamelCase__						,  **UpperCamelCase__						,  )

							if self.forced_bos_token_id is None and kwargs.get("""force_bos_token_to_be_generated"""						,  UpperCamelCase__					):
													UpperCAmelCase_=       self.bos_token_id
													warnings.warn(
													    F"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
													    """The config can simply be saved and uploaded again to be fixed."""					)









def 	__a					(   lowerCAmelCase_       : Dict    )				->			Dict:






						'''simple docstring'''



						return [
						    {
						        0: [1, 2],
						        1: [0, 2],
						        2: [0, 1, 3, 5],
						        3: [2, 4],
						        4: [3],
						        5: [2, 6, 8],
						        6: [5, 7],
						        7: [6, 8],
						        8: [5, 7],
						    },
						    {
						        0: [6],
						        1: [9],
						        2: [4, 5],
						        3: [4],
						        4: [2, 3],
						        5: [2],
						        6: [0, 7],
						        7: [6],
						        8: [],
						        9: [1],
						    },
						    {
						        0: [4],
						        1: [6],
						        2: [],
						        3: [5, 6, 7],
						        4: [0, 6],
						        5: [3, 8, 9],
						        6: [1, 3, 4, 7],
						        7: [3, 6, 8, 9],
						        8: [5, 7],
						        9: [5, 7],
						    },
						    {
						        0: [1, 3],
						        1: [0, 2, 4],
						        2: [1, 3, 4],
						        3: [0, 2, 4],
						        4: [1, 2, 3],
						    },
						][index]



def 	__a					(   lowerCAmelCase_       : dict[int, list[int]]    )				->			list[tuple[int, int]]:






						'''simple docstring'''



						UpperCAmelCase_=       0
						UpperCAmelCase_=       len(lowerCAmelCase_    )  # No of vertices in graph
						UpperCAmelCase_=       [0] * n
						UpperCAmelCase_=       [False] * n

						def dfs(lowerCAmelCase_       : Optional[int]      ,lowerCAmelCase_       : Dict      ,lowerCAmelCase_       : Any      ,lowerCAmelCase_       : int    ):
												UpperCAmelCase_=       True
												UpperCAmelCase_=       id_
												id_ += 1
												for to in graph[at]:
																		if to == parent:
																								pass
																		elif not visited[to]:
																								dfs(lowerCAmelCase_      ,lowerCAmelCase_      ,lowerCAmelCase_      ,id_    )
																								UpperCAmelCase_=       min(low[at]      ,low[to]    )
																								if id_ <= low[to]:
																														bridges.append((at, to) if at < to else (to, at)    )
																		else:
																								# This edge is a back edge and cannot be a bridge
																								UpperCAmelCase_=       min(low[at]      ,low[to]    )

						UpperCAmelCase_=       []
						for i in range(lowerCAmelCase_    ):
												if not visited[i]:
																		dfs(lowerCAmelCase_      ,-1      ,lowerCAmelCase_      ,id_    )
						return bridges


if __name__ == "__main__":
	import doctest

	doctest.testmod()




