

'''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

_UpperCAmelCase  :		int  =		TypeVar('''T''')

class 						__magic_name__   (							Generic[T] ):







 def __init__(       self  , snake_case_ = True   ):
   lowercase									={}  # dictionary of lists
   lowercase									=directed







 def 						_A(       self  , snake_case_  , snake_case_   ):

   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(snake_case_   )
       self.adj_list[destination_vertex].append(snake_case_   )
     # 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(snake_case_   )
       lowercase									=[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(snake_case_   )
       lowercase									=[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:
       lowercase									=[destination_vertex]
       lowercase									=[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(snake_case_   )
     # 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(snake_case_   )
       lowercase									=[]
     # 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:
       lowercase									=[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:
       lowercase									=[destination_vertex]
       lowercase									=[]

   return self







 def __repr__(       self   ):
   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 *
