





"""simple docstring"""





from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass






@dataclass
class    _lowerCAmelCase  :
       """simple docstring"""




       __magic_name__	:int
       __magic_name__	:int






class    _lowerCAmelCase  :
       """simple docstring"""




       def __init__(       self       ,					__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :list[list[Edge]]											=				[[] for _ in range(__UpperCAmelCase )]
         lowerCAmelCase__     :Any											=				size






       def __getitem__(       self       ,					__UpperCAmelCase ):



         '''simple docstring'''

         return iter(self._graph[vertex] )






       @property
       def 	snake_case		(       self ):



         '''simple docstring'''

         return self._size






       def 	snake_case		(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase       ,					__UpperCAmelCase ):



         '''simple docstring'''

         if weight not in (0, 1):
           raise ValueError('Edge weight must be either 0 or 1.' )

         if to_vertex < 0 or to_vertex >= self.size:
           raise ValueError('Vertex indexes must be in [0; size).' )

         self._graph[from_vertex].append(Edge(__UpperCAmelCase       ,					__UpperCAmelCase ) )






       def 	snake_case		(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :Optional[Any]											=				deque([start_vertex] )
         lowerCAmelCase__     :list[int | None]											=				[None] * self.size
         lowerCAmelCase__     :Any											=				0

         while queue:
           lowerCAmelCase__     :Union[str, Any]											=				queue.popleft()
           lowerCAmelCase__     :Any											=				distances[current_vertex]
           if current_distance is None:
             continue

           for edge in self[current_vertex]:
             lowerCAmelCase__     :Any											=				current_distance + edge.weight
             lowerCAmelCase__     :Optional[int]											=				distances[edge.destination_vertex]
             if (
                 isinstance(__UpperCAmelCase       ,					__UpperCAmelCase )
                 and new_distance >= dest_vertex_distance
             ):
               continue
             lowerCAmelCase__     :Dict											=				new_distance
             if edge.weight == 0:
               queue.appendleft(edge.destination_vertex )
             else:
               queue.append(edge.destination_vertex )

         if distances[finish_vertex] is None:
           raise ValueError('No path from start_vertex to finish_vertex.' )

         return distances[finish_vertex]


if __name__ == "__main__":
  import doctest

  doctest.testmod()


"""simple docstring"""





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


UpperCamelCase_       :    Any						      =			logging.get_logger(__name__)

# TODO: upload to AWS
UpperCamelCase_       :    List[str]						      =			{
    '''yjernite/retribert-base-uncased''': (
        '''https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json'''
    ),
}



class __lowerCAmelCase					(       _lowercase   ):




			"""simple docstring"""







			snake_case						   =					"retribert"




			def __init__(					self    :       str							, _snake_case    :       List[str]=30_522							, _snake_case    :       List[Any]=768							, _snake_case    :       List[Any]=8							, _snake_case    :       Union[str, Any]=12							, _snake_case    :       Optional[Any]=3_072							, _snake_case    :       List[Any]="gelu"							, _snake_case    :       Union[str, Any]=0.1							, _snake_case    :       Dict=0.1							, _snake_case    :       str=512							, _snake_case    :       Tuple=2							, _snake_case    :       Dict=0.0_2							, _snake_case    :       Optional[Any]=1e-12							, _snake_case    :       Tuple=True							, _snake_case    :       Union[str, Any]=128							, _snake_case    :       Union[str, Any]=0							, **_snake_case    :       Any							, )   ->			Optional[int]:







								"""simple docstring"""
								super().__init__(pad_token_id=_snake_case							, **_snake_case						)

								A_								=    vocab_size
								A_								=    hidden_size
								A_								=    num_hidden_layers
								A_								=    num_attention_heads
								A_								=    hidden_act
								A_								=    intermediate_size
								A_								=    hidden_dropout_prob
								A_								=    attention_probs_dropout_prob
								A_								=    max_position_embeddings
								A_								=    type_vocab_size
								A_								=    initializer_range
								A_								=    layer_norm_eps
								A_								=    share_encoders
								A_								=    projection_dim




