
class 		lowercase_							:

 def __init__(   self  ,						__UpperCamelCase  ):




        """simple docstring"""


        UpperCamelCase_											=							data
        UpperCamelCase_											=							4_2
        UpperCamelCase_											=							4_2




def 					lowerCamelCase__					(    a__	:	Node  )		->						None:
       UpperCamelCase_											=							0
       UpperCamelCase_											=							x




def 					lowerCamelCase__					(    a__	:	Node						,   a__	:	Node  )		->						None:
       UpperCamelCase_							,					UpperCamelCase_											=							find_set(a_  ), find_set(a_  )
       if x == y:
              return

       elif x.rank > y.rank:
              UpperCamelCase_											=							x
       else:
              UpperCamelCase_											=							y
              if x.rank == y.rank:
                     y.rank += 1




def 					lowerCamelCase__					(    a__	:	Node  )		->						Node:







       if x != x.parent:
              UpperCamelCase_											=							find_set(x.parent  )
       return x.parent




def 					lowerCamelCase__					(    a__	:	Node  )		->						set:
       UpperCamelCase_											=							({0, 1, 2}, {3, 4, 5})
       for s in sets:
              if node.data in s:
                     return s
       UpperCamelCase_											=							f'''{node.data} is not in {sets}'''
       raise ValueError(a_  )




def 					lowerCamelCase__					(    )		->						None:
       UpperCamelCase_											=							[Node(a_  ) for i in range(6  )]
       for v in vertex:
              make_set(a_  )

       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(a_  ).isdisjoint(find_python_set(a_  )  ):
                            assert find_set(a_  ) != find_set(a_  )
                     else:
                            assert find_set(a_  ) == find_set(a_  )


if __name__ == "__main__":
      test_disjoint_set()






from typing import Callable, Optional, Union

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


A__							=				logging.get_logger(__name__)

A__							=				{
    "microsoft/prophetnet-large-uncased": (
        "https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json"
    ),
}

class 					__UpperCamelCase					(       SCREAMING_SNAKE_CASE      ):
	_lowercase	: Union[str, Any]												=	"prophetnet"
	_lowercase	: Any												=	["past_key_values"]
	_lowercase	: int												=	{
	    "num_attention_heads": "num_encoder_attention_heads",
	}







	def __init__( self:			Union[str, Any]	,			__UpperCamelCase:			Optional[float] = 0.1	,			__UpperCamelCase:			Optional[Union[str, Callable]] = "gelu"	,			__UpperCamelCase:			Optional[int] = 3_05_22	,			__UpperCamelCase:			Optional[int] = 10_24	,			__UpperCamelCase:			Optional[int] = 40_96	,			__UpperCamelCase:			Optional[int] = 12	,			__UpperCamelCase:			Optional[int] = 16	,			__UpperCamelCase:			Optional[int] = 40_96	,			__UpperCamelCase:			Optional[int] = 12	,			__UpperCamelCase:			Optional[int] = 16	,			__UpperCamelCase:			Optional[float] = 0.1	,			__UpperCamelCase:			Optional[float] = 0.1	,			__UpperCamelCase:			Optional[int] = 5_12	,			__UpperCamelCase:			Optional[float] = 0.02	,			__UpperCamelCase:			Optional[bool] = True	,			__UpperCamelCase:			Optional[bool] = True	,			__UpperCamelCase:			Optional[int] = 0	,			__UpperCamelCase:			Optional[int] = 2	,			__UpperCamelCase:			Optional[int] = 32	,			__UpperCamelCase:			Optional[int] = 1_28	,			__UpperCamelCase:			Optional[bool] = False	,			__UpperCamelCase:			Optional[float] = 0.0	,			__UpperCamelCase:			Optional[bool] = True	,			__UpperCamelCase:			Optional[int] = 0	,			__UpperCamelCase:			Optional[int] = 1	,			__UpperCamelCase:			Optional[int] = 2	,			**__UpperCamelCase:			Optional[int]	,			):

						'''simple docstring'''





						__magic_name__				=     vocab_size
						__magic_name__				=     hidden_size
						__magic_name__				=     encoder_ffn_dim
						__magic_name__				=     num_encoder_layers
						__magic_name__				=     num_encoder_attention_heads
						__magic_name__				=     decoder_ffn_dim
						__magic_name__				=     num_decoder_layers
						__magic_name__				=     num_decoder_attention_heads
						__magic_name__				=     max_position_embeddings
						__magic_name__				=     init_std  # Normal(0, this parameter)
						__magic_name__				=     activation_function

						# parameters for prophetnet
						__magic_name__				=     ngram
						__magic_name__				=     num_buckets
						__magic_name__				=     relative_max_distance
						__magic_name__				=     disable_ngram_loss
						__magic_name__				=     eps

						# 3 Types of Dropout
						__magic_name__				=     attention_dropout
						__magic_name__				=     activation_dropout
						__magic_name__				=     dropout

						__magic_name__				=     use_cache

						super().__init__(
						    pad_token_id=__UpperCamelCase	,			bos_token_id=__UpperCamelCase	,			eos_token_id=__UpperCamelCase	,			is_encoder_decoder=__UpperCamelCase	,			add_cross_attention=__UpperCamelCase	,			decoder_start_token_id=__UpperCamelCase	,			**__UpperCamelCase	,			)







	@property
	def 						_SCREAMING_SNAKE_CASE				( self:			Tuple   ):

						'''simple docstring'''





						return self.num_encoder_layers + self.num_decoder_layers







	@num_hidden_layers.setter
	def 						_SCREAMING_SNAKE_CASE				( self:			Union[str, Any]	,			__UpperCamelCase:			List[Any]   ):

						'''simple docstring'''





						raise NotImplementedError(
						    'This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'
						    ' `num_decoder_layers`.'   )




