


from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

__UpperCamelCase				:  Dict      					=							TypeVar('T')





class  lowerCAmelCase__(    Generic[T]						):






    '''simple docstring'''





    def __init__(	self				:   Tuple       ,   __snake_case				:   List[Any] = True	):





       '''simple docstring'''
       UpperCAmelCase_							:      List[str]						=   {}  # dictionary of lists
       UpperCAmelCase_							:      Tuple						=   directed





    def 					_lowerCamelCase (	self				:   str       ,   __snake_case				:   Dict       ,   __snake_case				:   Any	):





       '''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(__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	)
             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(__snake_case	)
             UpperCAmelCase_							:      int						=   [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_							:      List[Any]						=   [destination_vertex]
             UpperCAmelCase_							:      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(__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	)
             UpperCAmelCase_							:      Any						=   []
          # 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_							:      Union[str, 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_							:      int						=   [destination_vertex]
             UpperCAmelCase_							:      Tuple						=   []

       return self





    def __repr__(	self				:   List[Any]	):





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



from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def      snake_case_						( ):
   UpperCAmelCase_							:      str						=   HfArgumentParser(__lowercase       )
   UpperCAmelCase_							:      Optional[Any]						=   parser.parse_args_into_dataclasses()[0]
   UpperCAmelCase_							:      Optional[int]						=   TensorFlowBenchmark(args=__lowercase       )
   try:
      UpperCAmelCase_							:      List[Any]						=   parser.parse_args_into_dataclasses()[0]
   except ValueError as e:
      UpperCAmelCase_							:      List[Any]						=   '''Arg --no_{0} is no longer used, please use --no-{0} instead.'''
      UpperCAmelCase_							:      List[str]						=   ''' '''.join(str(__lowercase       ).split(''' '''       )[:-1]       )
      UpperCAmelCase_							:      Optional[int]						=   ''''''
      UpperCAmelCase_							:      Dict						=   eval(str(__lowercase       ).split(''' '''       )[-1]       )
      UpperCAmelCase_							:      int						=   []
      for arg in depreciated_args:
         # arg[2:] removes '--'
         if arg[2:] in TensorFlowBenchmark.deprecated_args:
            # arg[5:] removes '--no_'
            full_error_msg += arg_error_msg.format(arg[5:]       )
         else:
            wrong_args.append(__lowercase       )
      if len(__lowercase       ) > 0:
         UpperCAmelCase_							:      Tuple						=   full_error_msg + begin_error_msg + str(__lowercase       )
      raise ValueError(__lowercase       )
   benchmark.run()


if __name__ == "__main__":
       main()