





"""simple docstring"""



from __future__ import annotations

from typing import Generic, TypeVar

a_ =			TypeVar("""T""")






class 		__snake_case					(		Generic[T]     ):





 """simple docstring"""


 def __init__(    self					,						__lowerCamelCase  ):



     '''simple docstring'''




     __A    :						Any						 =     data
     __A    :						str						 =     self
     __A    :						Optional[Any]						 =     0






class 		__snake_case					(		Generic[T]     ):





 """simple docstring"""


 def __init__(    self  ):



     '''simple docstring'''




     __A    :						dict[T, DisjointSetTreeNode[T]]						 =     {}

 def 					UpperCamelCase__(    self					,						__lowerCamelCase  ):



     '''simple docstring'''




     __A    :						Any						 =     DisjointSetTreeNode(__lowerCamelCase  )

 def 					UpperCamelCase__(    self					,						__lowerCamelCase  ):



     '''simple docstring'''




     __A    :						Tuple						 =     self.map[data]
     if elem_ref != elem_ref.parent:
         __A    :						str						 =     self.find_set(elem_ref.parent.data  )
     return elem_ref.parent

 def 					UpperCamelCase__(    self					,						__lowerCamelCase					,						__lowerCamelCase  ):



     '''simple docstring'''




     if nodea.rank > nodea.rank:
         __A    :						str						 =     nodea
     else:
         __A    :						str						 =     nodea
         if nodea.rank == nodea.rank:
             nodea.rank += 1







 def 					UpperCamelCase__(    self					,						__lowerCamelCase					,						__lowerCamelCase  ):



     '''simple docstring'''




     self.link(self.find_set(__lowerCamelCase  )					,						self.find_set(__lowerCamelCase  )  )






class 		__snake_case					(		Generic[T]     ):





 """simple docstring"""


 def __init__(    self  ):



     '''simple docstring'''




     __A    :						dict[T, dict[T, int]]						 =     {}

 def 					UpperCamelCase__(    self					,						__lowerCamelCase  ):



     '''simple docstring'''




     if node not in self.connections:
         __A    :						Tuple						 =     {}

 def 					UpperCamelCase__(    self					,						__lowerCamelCase					,						__lowerCamelCase					,						__lowerCamelCase  ):



     '''simple docstring'''




     self.add_node(__lowerCamelCase  )
     self.add_node(__lowerCamelCase  )
     __A    :						List[str]						 =     weight
     __A    :						int						 =     weight







 def 					UpperCamelCase__(    self  ):



     '''simple docstring'''




     __A    :						List[str]						 =     []
     __A    :						List[Any]						 =     set()
     for start in self.connections:
         for end in self.connections[start]:
             if (start, end) not in seen:
                 seen.add((end, start)  )
                 edges.append((start, end, self.connections[start][end])  )
     edges.sort(key=lambda __lowerCamelCase  : x[2]  )

     # creating the disjoint set
     __A    :						List[str]						 =     DisjointSetTree[T]()
     for node in self.connections:
         disjoint_set.make_set(__lowerCamelCase  )

     # MST generation
     __A    :						str						 =     0
     __A    :						List[Any]						 =     0
     __A    :						Optional[Any]						 =     GraphUndirectedWeighted[T]()
     while num_edges < len(self.connections  ) - 1:
         __A ,       __A ,       __A    :						Tuple						 =     edges[index]
         index += 1
         __A    :						Any						 =     disjoint_set.find_set(__lowerCamelCase  )
         __A    :						List[Any]						 =     disjoint_set.find_set(__lowerCamelCase  )
         if parent_u != parent_v:
             num_edges += 1
             graph.add_edge(__lowerCamelCase					,						__lowerCamelCase					,						__lowerCamelCase  )
             disjoint_set.union(__lowerCamelCase					,						__lowerCamelCase  )
     return graph











"""simple docstring"""



import logging

from transformers.configuration_utils import PretrainedConfig


a_ =			logging.getLogger(__name__)






class 		__snake_case					(		SCREAMING_SNAKE_CASE__     ):





 """simple docstring"""


 _lowerCamelCase        =     """masked_bert"""

 def __init__(    self					,						__lowerCamelCase=3_0522					,						__lowerCamelCase=768					,						__lowerCamelCase=12					,						__lowerCamelCase=12					,						__lowerCamelCase=3072					,						__lowerCamelCase="gelu"					,						__lowerCamelCase=0.1					,						__lowerCamelCase=0.1					,						__lowerCamelCase=512					,						__lowerCamelCase=2					,						__lowerCamelCase=0.0_2					,						__lowerCamelCase=1e-1_2					,						__lowerCamelCase=0					,						__lowerCamelCase="topK"					,						__lowerCamelCase="constant"					,						__lowerCamelCase=0.0					,						**__lowerCamelCase					,						):



     '''simple docstring'''




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

     __A    :						Dict						 =     vocab_size
     __A    :						Union[str, Any]						 =     hidden_size
     __A    :						Tuple						 =     num_hidden_layers
     __A    :						Tuple						 =     num_attention_heads
     __A    :						Optional[Any]						 =     hidden_act
     __A    :						List[str]						 =     intermediate_size
     __A    :						Any						 =     hidden_dropout_prob
     __A    :						Optional[Any]						 =     attention_probs_dropout_prob
     __A    :						Any						 =     max_position_embeddings
     __A    :						str						 =     type_vocab_size
     __A    :						List[Any]						 =     initializer_range
     __A    :						str						 =     layer_norm_eps
     __A    :						Optional[int]						 =     pruning_method
     __A    :						str						 =     mask_init
     __A    :						Any						 =     mask_scale




