





'''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

lowercase__						:      Optional[Any]	=    TypeVar('T')
class     __lowerCAmelCase					(   Generic[T]			):






       """simple docstring"""





       def __init__(							self       :		Any	,			lowerCAmelCase__       :		bool = True					)   ->					None:

            '''simple docstring'''




            _UpperCamelCase       =	{}  # dictionary of lists
            _UpperCamelCase       =	directed





       def snake_case__						(							self       :		Optional[int]	,			lowerCAmelCase__       :		T	,			lowerCAmelCase__       :		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(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__					)
                      _UpperCamelCase       =	[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__					)
                      _UpperCamelCase       =	[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       =	[destination_vertex]
                      _UpperCamelCase       =	[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__					)
                      _UpperCamelCase       =	[]
                 # 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       =	[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       =	[destination_vertex]
                      _UpperCamelCase       =	[]

            return self







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

            '''simple docstring'''




            return pformat(self.adj_list					)










'''simple docstring'''

import importlib.metadata
from typing import Union

from packaging.version import Version, parse

from .constants import STR_OPERATION_TO_FUNC


lowercase__						:      List[Any]	=    parse(importlib.metadata.version('torch'))







def  a__    (    lowercase :					Union[str, Version], lowercase :					str, lowercase :					str				)		->		List[str]:





     """simple docstring"""

     if operation not in STR_OPERATION_TO_FUNC.keys():
          raise ValueError(F"""`operation` must be one of {list(STR_OPERATION_TO_FUNC.keys()				)}, received {operation}"""				)
     _UpperCamelCase       =	STR_OPERATION_TO_FUNC[operation]
     if isinstance(lowercase, lowercase				):
          _UpperCamelCase       =	parse(importlib.metadata.version(lowercase				)				)
     return operation(lowercase, parse(lowercase				)				)







def  a__    (    lowercase :					str, lowercase :					str				)		->		List[Any]:





     """simple docstring"""

     return compare_versions(lowercase, lowercase, lowercase				)



