




"""simple docstring"""


# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

_A													=      TypeVar("""T""")


class _lowerCamelCase    (					Generic[T]						):






   def __init__(		self       :		List[str]   ,     UpperCamelCase       :		bool = True   )			->						None:

         """simple docstring"""
         lowerCAmelCase__      :			dict[T, list[T]]   =	{}  # dictionary of lists
         lowerCAmelCase__      :			Any   =	directed






   def 	_lowerCAmelCase   (		self       :		List[Any]   ,     UpperCamelCase       :		T   ,     UpperCamelCase       :		T   )			->						GraphAdjacencyList[T]:

         """simple docstring"""

         if not self.directed:  # For undirected graphs
               # if both source vertex and destination vertex are both present in the
               # adjacency list, add destination vertex to source vertex list of adjacent
               # vertices and add source vertex to destination vertex list of adjacent
               # vertices.
               if source_vertex in self.adj_list and destination_vertex in self.adj_list:
                     self.adj_list[source_vertex].append(UpperCamelCase   )
                     self.adj_list[destination_vertex].append(UpperCamelCase   )
               # if only source vertex is present in adjacency list, add destination vertex
               # to source vertex list of adjacent vertices, then create a new vertex with
               # destination vertex as key and assign a list containing the source vertex
               # as it's first adjacent vertex.
               elif source_vertex in self.adj_list:
                     self.adj_list[source_vertex].append(UpperCamelCase   )
                     lowerCAmelCase__      :			Tuple   =	[source_vertex]
               # if only destination vertex is present in adjacency list, add source vertex
               # to destination vertex list of adjacent vertices, then create a new vertex
               # with source vertex as key and assign a list containing the source vertex
               # as it's first adjacent vertex.
               elif destination_vertex in self.adj_list:
                     self.adj_list[destination_vertex].append(UpperCamelCase   )
                     lowerCAmelCase__      :			str   =	[destination_vertex]
               # if both source vertex and destination vertex are not present in adjacency
               # list, create a new vertex with source vertex as key and assign a list
               # containing the destination vertex as it's first adjacent vertex also
               # create a new vertex with destination vertex as key and assign a list
               # containing the source vertex as it's first adjacent vertex.
               else:
                     lowerCAmelCase__      :			Any   =	[destination_vertex]
                     lowerCAmelCase__      :			Tuple   =	[source_vertex]
         else:  # For directed graphs
               # if both source vertex and destination vertex are present in adjacency
               # list, add destination vertex to source vertex list of adjacent vertices.
               if source_vertex in self.adj_list and destination_vertex in self.adj_list:
                     self.adj_list[source_vertex].append(UpperCamelCase   )
               # if only source vertex is present in adjacency list, add destination
               # vertex to source vertex list of adjacent vertices and create a new vertex
               # with destination vertex as key, which has no adjacent vertex
               elif source_vertex in self.adj_list:
                     self.adj_list[source_vertex].append(UpperCamelCase   )
                     lowerCAmelCase__      :			Optional[int]   =	[]
               # if only destination vertex is present in adjacency list, create a new
               # vertex with source vertex as key and assign a list containing destination
               # vertex as first adjacent vertex
               elif destination_vertex in self.adj_list:
                     lowerCAmelCase__      :			Any   =	[destination_vertex]
               # if both source vertex and destination vertex are not present in adjacency
               # list, create a new vertex with source vertex as key and a list containing
               # destination vertex as it's first adjacent vertex. Then create a new vertex
               # with destination vertex as key, which has no adjacent vertex
               else:
                     lowerCAmelCase__      :			Any   =	[destination_vertex]
                     lowerCAmelCase__      :			Optional[Any]   =	[]

         return self






   def __repr__(		self       :		List[Any]   )			->						str:

         """simple docstring"""
         return pformat(self.adj_list   )











"""simple docstring"""


from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *





