




'''simple docstring'''


from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def 						lowerCamelCase__   (				):
						__snake_case						 =   HfArgumentParser(__snake_case							)
						__snake_case						 =   parser.parse_args_into_dataclasses()[0]
						__snake_case						 =   TensorFlowBenchmark(args=__snake_case							)
						try:
												__snake_case						 =   parser.parse_args_into_dataclasses()[0]
						except ValueError as e:
												__snake_case						 =   'Arg --no_{0} is no longer used, please use --no-{0} instead.'
												__snake_case						 =   ' '.join(str(__snake_case							).split(' '							)[:-1]							)
												__snake_case						 =   ''
												__snake_case						 =   eval(str(__snake_case							).split(' '							)[-1]							)
												__snake_case						 =   []
												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(__snake_case							)
												if len(__snake_case							) > 0:
																		__snake_case						 =   full_error_msg + begin_error_msg + str(__snake_case							)
												raise ValueError(__snake_case							)
						benchmark.run()


if __name__ == "__main__":
	main()


import math
class     lowerCAmelCase_     :







							def __init__(   self      :     Tuple ,			_A      :     int=0		):  # a graph with Node 0,1,...,N-1
												_UpperCamelCase			     =     n
												_UpperCamelCase			     =     [
												    [math.inf for j in range(0 ,			_A		)] for i in range(0 ,			_A		)
												]  # adjacency matrix for weight
												_UpperCamelCase			     =     [
												    [math.inf for j in range(0 ,			_A		)] for i in range(0 ,			_A		)
												]  # dp[i][j] stores minimum distance from i to j







							def  UpperCamelCase_						(   self      :     Dict ,			_A      :     str ,			_A      :     List[str] ,			_A      :     Optional[Any]		):
												_UpperCamelCase			     =     w







							def  UpperCamelCase_						(   self      :     Optional[int]		):
												for k in range(0 ,			self.n		):
																	for i in range(0 ,			self.n		):
																						for j in range(0 ,			self.n		):
																											_UpperCamelCase			     =     min(self.dp[i][j] ,			self.dp[i][k] + self.dp[k][j]		)







							def  UpperCamelCase_						(   self      :     List[str] ,			_A      :     Optional[int] ,			_A      :     Optional[int]		):
												return self.dp[u][v]


if __name__ == "__main__":
					_lowerCAmelCase       =		Graph(5)
					graph.add_edge(0, 2, 9)
					graph.add_edge(0, 4, 10)
					graph.add_edge(1, 3, 5)
					graph.add_edge(2, 3, 7)
					graph.add_edge(3, 0, 10)
					graph.add_edge(3, 1, 2)
					graph.add_edge(3, 2, 1)
					graph.add_edge(3, 4, 6)
					graph.add_edge(4, 1, 3)
					graph.add_edge(4, 2, 4)
					graph.add_edge(4, 3, 9)
					graph.floyd_warshall()
					graph.show_min(1, 4)
					graph.show_min(0, 3)
