



'''simple docstring'''






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


lowerCamelCase__	  =		logging.get_logger(__name__)

lowerCamelCase__	  =		{
    'google/pegasus-x-base': 'https://huggingface.co/google/pegasus-x-base/resolve/main/config.json',
    'google/pegasus-x-large': 'https://huggingface.co/google/pegasus-x-large/resolve/main/config.json',
    # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
}

class 	_lowerCAmelCase     (    __A       ):






		'''simple docstring'''
		snake_case_							= 'pegasus_x'
		snake_case_							= ['past_key_values']
		snake_case_							= {'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}
		def __init__(						self							:       Union[str, Any]      ,		UpperCamelCase_							:       Union[str, Any]=96_103      ,		UpperCamelCase_							:       Union[str, Any]=16_384      ,		UpperCamelCase_							:       Tuple=16      ,		UpperCamelCase_							:       Optional[Any]=4_096      ,		UpperCamelCase_							:       Optional[int]=16      ,		UpperCamelCase_							:       Optional[int]=16      ,		UpperCamelCase_							:       Optional[Any]=4_096      ,		UpperCamelCase_							:       str=16      ,		UpperCamelCase_							:       Tuple=0.0      ,		UpperCamelCase_							:       str=0.0      ,		UpperCamelCase_							:       Optional[Any]=True      ,		UpperCamelCase_							:       Tuple=True      ,		UpperCamelCase_							:       Optional[Any]="gelu"      ,		UpperCamelCase_							:       Dict=1_024      ,		UpperCamelCase_							:       Union[str, Any]=0.1      ,		UpperCamelCase_							:       List[Any]=0.0      ,		UpperCamelCase_							:       Optional[int]=0.0      ,		UpperCamelCase_							:       Dict=0.02      ,		UpperCamelCase_							:       Dict=0      ,		UpperCamelCase_							:       Any=True      ,		UpperCamelCase_							:       Union[str, Any]=0      ,		UpperCamelCase_							:       Union[str, Any]=1      ,		UpperCamelCase_							:       Tuple=1      ,		UpperCamelCase_							:       List[str]=32      ,		UpperCamelCase_							:       Dict=512      ,		UpperCamelCase_							:       str=True      ,		**UpperCamelCase_							:       Optional[Any]      ,		)      ->			Dict:







									'''simple docstring'''





									_lowercase							:		Optional[int]				=   vocab_size
									_lowercase							:		Optional[int]				=   max_position_embeddings
									_lowercase							:		List[Any]				=   d_model
									_lowercase							:		List[str]				=   encoder_ffn_dim
									_lowercase							:		List[Any]				=   encoder_layers
									_lowercase							:		str				=   encoder_attention_heads
									_lowercase							:		Dict				=   decoder_ffn_dim
									_lowercase							:		Dict				=   decoder_layers
									_lowercase							:		Tuple				=   decoder_attention_heads
									_lowercase							:		int				=   dropout
									_lowercase							:		str				=   attention_dropout
									_lowercase							:		str				=   activation_dropout
									_lowercase							:		Tuple				=   activation_function
									_lowercase							:		List[Any]				=   init_std
									_lowercase							:		Any				=   encoder_layerdrop
									_lowercase							:		Any				=   decoder_layerdrop
									_lowercase							:		Any				=   use_cache
									_lowercase							:		Optional[int]				=   encoder_layers
									_lowercase							:		List[Any]				=   scale_embedding  # scale factor will be sqrt(d_model) if True

									_lowercase							:		int				=   num_global_tokens
									_lowercase							:		str				=   block_size
									_lowercase							:		Tuple				=   stagger_local_blocks

									super().__init__(
									    pad_token_id=UpperCamelCase_      ,		eos_token_id=UpperCamelCase_      ,		is_encoder_decoder=UpperCamelCase_      ,		decoder_start_token_id=UpperCamelCase_      ,		forced_eos_token_id=UpperCamelCase_      ,		**UpperCamelCase_      ,		)
		@property
		def 						__lowercase      (						self							:       int		)      ->			int:







									'''simple docstring'''





									return self.encoder_attention_heads





		@property
		def 						__lowercase      (						self							:       Union[str, Any]		)      ->			int:







									'''simple docstring'''





									return self.d_model








'''simple docstring'''






class 	_lowerCAmelCase     :






		'''simple docstring'''
		def __init__(						self							:       int      ,		UpperCamelCase_							:       int		)      ->			None:







									'''simple docstring'''





									_lowercase							:		Optional[Any]				=   data
									_lowercase							:		int
									_lowercase							:		Node





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     Node  )		->None:






							'''simple docstring'''
							_lowercase							:		str				=   0
							_lowercase							:		List[Any]				=   x





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     Node ,       snake_case_    :     Node  )		->None:






							'''simple docstring'''
							_lowercase			, _lowercase							:		Union[str, Any]				=   find_set(snake_case_  ), find_set(snake_case_  )
							if x == y:
														return

							elif x.rank > y.rank:
														_lowercase							:		Optional[Any]				=   x
							else:
														_lowercase							:		Optional[int]				=   y
														if x.rank == y.rank:
																					y.rank += 1





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     Node  )		->Node:






							'''simple docstring'''
							if x != x.parent:
														_lowercase							:		str				=   find_set(x.parent  )
							return x.parent





def 				_SCREAMING_SNAKE_CASE(					snake_case_    :     Node  )		->set:






							'''simple docstring'''
							_lowercase							:		str				=   ({0, 1, 2}, {3, 4, 5})
							for s in sets:
														if node.data in s:
																					return s
							_lowercase							:		Optional[Any]				=   F"{node.data} is not in {sets}"
							raise ValueError(snake_case_  )





def 				_SCREAMING_SNAKE_CASE(					)		->None:






							'''simple docstring'''
							_lowercase							:		Any				=   [Node(snake_case_  ) for i in range(6  )]
							for v in vertex:
														make_set(snake_case_  )

							union_set(vertex[0] ,       vertex[1]  )
							union_set(vertex[1] ,       vertex[2]  )
							union_set(vertex[3] ,       vertex[4]  )
							union_set(vertex[3] ,       vertex[5]  )

							for nodea in vertex:
														for nodea in vertex:
																					if find_python_set(snake_case_  ).isdisjoint(find_python_set(snake_case_  )  ):
																												assert find_set(snake_case_  ) != find_set(snake_case_  )
																					else:
																												assert find_set(snake_case_  ) == find_set(snake_case_  )


if __name__ == "__main__":
						test_disjoint_set()



