






from __future__ import annotations

import os
from collections.abc import Mapping

lowercase  							=					tuple[int, int]




class  UpperCamelCase_      :



	'''simple docstring'''




	def __init__(       self       ,			a       ,			a					)       ->    None:
								snake_case_				=							vertices
								snake_case_				=							{
								    (min(a					), max(a					)): weight for edge, weight in edges.items()
								}




	def 							_UpperCamelCase			(       self       ,			a       ,			a					)       ->    None:
								self.vertices.add(edge[0]					)
								self.vertices.add(edge[1]					)
								snake_case_				=							weight






	def 							_UpperCamelCase			(       self					)       ->    Graph:
								snake_case_				=							Graph({min(self.vertices					)}       ,			{}					)
								snake_case_				=							42
								snake_case_				=							42
								snake_case_				=							42
								snake_case_				=							42

								while len(subgraph.vertices					) < len(self.vertices					):
															snake_case_				=							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:
																																				snake_case_				=							edge
																																				snake_case_				=							weight

															subgraph.add_edge(a       ,			a					)

								return subgraph






def 						__UpperCAmelCase			(     a_ = "p107_network.txt"):
							snake_case_				=							os.path.abspath(os.path.dirname(a_))
							snake_case_				=							os.path.join(a_							,     a_)
							snake_case_				=							{}
							snake_case_				=							42
							snake_case_				=							42
							snake_case_				=							42

							with open(a_) as f:
														snake_case_				=							f.read().strip().split('\n')

							snake_case_				=							[line.split(',') for line in data]

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

							snake_case_				=							Graph(set(range(len(a_)))							,     a_)

							snake_case_				=							graph.prims_algorithm()

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

							return initial_total - optimal_total


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













import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowercase  							=					logging.get_logger(__name__)




class  UpperCamelCase_      (			snake_case_				):



	'''simple docstring'''




	def __init__(       self       ,			*a       ,			**a					)       ->    None:
								warnings.warn(
								    'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
								    ' Please use PerceiverImageProcessor instead.'       ,			a       ,			)
								super().__init__(*a       ,			**a					)





