# 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_           =				TypeVar('''T''')




class 			__magic_name__	(		Generic[T]     ):





   """simple docstring"""




   def __init__(						self       :	int		,	_lowercase       :	bool = True				):



    """simple docstring"""



    _UpperCamelCase:  dict[T, list[T]]    						=			{}  # dictionary of lists
    _UpperCamelCase:  Optional[int]    						=			directed



   def 	lowerCAmelCase    (						self       :	Optional[Any]		,	_lowercase       :	T		,	_lowercase       :	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(_lowercase				)
      self.adj_list[destination_vertex].append(_lowercase				)
     # 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(_lowercase				)
      _UpperCamelCase:  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(_lowercase				)
      _UpperCamelCase:  List[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:
      _UpperCamelCase:  str    						=			[destination_vertex]
      _UpperCamelCase:  Optional[int]    						=			[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(_lowercase				)
     # 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(_lowercase				)
      _UpperCamelCase:  Dict    						=			[]
     # 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:
      _UpperCamelCase:  Optional[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:
      _UpperCamelCase:  Optional[Any]    						=			[destination_vertex]
      _UpperCamelCase:  List[Any]    						=			[]

    return self



   def __repr__(						self       :	List[str]				):



    """simple docstring"""



    return pformat(self.adj_list				)
UpperCAmelCase_           =				'''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

UpperCAmelCase_           =				[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
UpperCAmelCase_           =				{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}