



'''simple docstring'''


from __future__ import annotations

import os
from collections.abc import Mapping

lowercase_      :				Tuple   					=							tuple[int, int]




class      __UpperCamelCase       :







	def __init__(    self ,				_lowerCAmelCase ,				_lowerCAmelCase						)    ->    str:
							'''simple docstring'''






							lowercase        =							vertices
							lowercase        =							{
							    (min(_lowerCAmelCase						), max(_lowerCAmelCase						)): weight for edge, weight in edges.items()
							}







	def   _a   (    self ,				_lowerCAmelCase ,				_lowerCAmelCase						)    ->    Union[str, Any]:
							'''simple docstring'''






							self.vertices.add(edge[0]						)
							self.vertices.add(edge[1]						)
							lowercase        =							weight







	def   _a   (    self						)    ->    Optional[int]:
							'''simple docstring'''






							lowercase        =							Graph({min(self.vertices						)} ,				{}						)
							lowercase        =							42
							lowercase        =							42
							lowercase        =							42
							lowercase        =							42

							while len(subgraph.vertices						) < len(self.vertices						):
													lowercase        =							max(self.edges.values()						) + 1
													for edge, weight in self.edges.items():
																			if (edge[0] in subgraph.vertices) ^ (edge[1] in subgraph.vertices):
																									if weight < min_weight:
																															lowercase        =							edge
																															lowercase        =							weight

													subgraph.add_edge(_lowerCAmelCase ,				_lowerCAmelCase						)

							return subgraph







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      str = "p107_network.txt"						):
						lowercase        =							os.path.abspath(os.path.dirname(_UpperCamelCase						)						)
						lowercase        =							os.path.join(_UpperCamelCase ,  _UpperCamelCase						)
						lowercase        =							{}
						lowercase        =							42
						lowercase        =							42
						lowercase        =							42

						with open(_UpperCamelCase						) as f:
												lowercase        =							f.read().strip().split("""\n"""						)

						lowercase        =							[line.split(""","""						) for line in data]

						for edgea in range(1 ,  len(_UpperCamelCase						)						):
												for edgea in range(_UpperCamelCase						):
																		if adjaceny_matrix[edgea][edgea] != "-":
																								lowercase        =							int(adjaceny_matrix[edgea][edgea]						)

						lowercase        =							Graph(set(range(len(_UpperCamelCase						)						)						) ,  _UpperCamelCase						)

						lowercase        =							graph.prims_algorithm()

						lowercase        =							sum(graph.edges.values()						)
						lowercase        =							sum(subgraph.edges.values()						)

						return initial_total - optimal_total


if __name__ == "__main__":
						print(f'''{solution() = }''')







'''simple docstring'''


from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def      SCREAMING_SNAKE_CASE				(				):
						lowercase        =							HfArgumentParser(lowercase_						)
						lowercase        =							parser.parse_args_into_dataclasses()[0]
						lowercase        =							TensorFlowBenchmark(args=lowercase_						)
						try:
												lowercase        =							parser.parse_args_into_dataclasses()[0]
						except ValueError as e:
												lowercase        =							"""Arg --no_{0} is no longer used, please use --no-{0} instead."""
												lowercase        =							""" """.join(str(lowercase_						).split(""" """						)[:-1]						)
												lowercase        =							""""""
												lowercase        =							eval(str(lowercase_						).split(""" """						)[-1]						)
												lowercase        =							[]
												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:
																		lowercase        =							full_error_msg + begin_error_msg + str(lowercase_						)
												raise ValueError(lowercase_						)
						benchmark.run()


if __name__ == "__main__":
						main()


