




# 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

__lowerCAmelCase		:				str       			=		TypeVar('T')




class     snake_case__							(Generic[T]   ):
				"""simple docstring"""



				def __init__(      self				:     Optional[Any]					,      __lowerCamelCase				:     bool = True							)					->     None:
							a    =			{}  # dictionary of lists
							a    =			directed





				def 							__UpperCAmelCase							(      self				:     str					,      __lowerCamelCase				:     T					,      __lowerCamelCase				:     T							)					->     GraphAdjacencyList[T]:

							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(__lowerCamelCase							)
													self.adj_list[destination_vertex].append(__lowerCamelCase							)
										# 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(__lowerCamelCase							)
													a    =			[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(__lowerCamelCase							)
													a    =			[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:
													a    =			[destination_vertex]
													a    =			[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(__lowerCamelCase							)
										# 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(__lowerCamelCase							)
													a    =			[]
										# 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:
													a    =			[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:
													a    =			[destination_vertex]
													a    =			[]

							return self





				def __repr__(      self				:     Tuple							)					->     str:
							return pformat(self.adj_list							)














import warnings


warnings.warn(
    'memory_utils has been reorganized to utils.memory. Import `find_executable_batchsize` from the main `__init__`: '
    '`from accelerate import find_executable_batch_size` to avoid this warning.',
    FutureWarning,
)




