





from __future__ import annotations

import os
from collections.abc import Mapping

__lowercase	: List[str]       =tuple[int, int]

class   A							:



      def __init__(						self:    Any		,	_lowerCAmelCase:    set[int]		,	_lowerCAmelCase:    Mapping[EdgeT, int]							)    ->     None:
         '''simple docstring'''

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



      def 						lowerCAmelCase__     (						self:    int		,	_lowerCAmelCase:    EdgeT		,	_lowerCAmelCase:    int							)    ->     None:
         '''simple docstring'''

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






      def 						lowerCAmelCase__     (						self:    str							)    ->     Graph:
         '''simple docstring'''

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

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

            subgraph.add_edge(_lowerCAmelCase		,	_lowerCAmelCase							)

         return subgraph




def      a__			(       lowercase__ = "p107_network.txt"	):






   '''simple docstring'''






   UpperCAmelCase_           =os.path.abspath(os.path.dirname(lowercase__	)	)
   UpperCAmelCase_           =os.path.join(lowercase__	,     lowercase__	)
   UpperCAmelCase_           ={}
   UpperCAmelCase_           =42
   UpperCAmelCase_           =42
   UpperCAmelCase_           =42

   with open(lowercase__	) as f:
      UpperCAmelCase_           =f.read().strip().split("\n"	)

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

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

   UpperCAmelCase_           =Graph(set(range(len(lowercase__	)	)	)	,     lowercase__	)

   UpperCAmelCase_           =graph.prims_algorithm()

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

   return initial_total - optimal_total


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







'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase					 =	{
    '''configuration_owlvit''': [
        '''OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''OwlViTConfig''',
        '''OwlViTOnnxConfig''',
        '''OwlViTTextConfig''',
        '''OwlViTVisionConfig''',
    ],
    '''processing_owlvit''': ['''OwlViTProcessor'''],
}


try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase					 =	['''OwlViTFeatureExtractor''']
       UpperCAmelCase					 =	['''OwlViTImageProcessor''']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase					 =	[
           '''OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''OwlViTModel''',
           '''OwlViTPreTrainedModel''',
           '''OwlViTTextModel''',
           '''OwlViTVisionModel''',
           '''OwlViTForObjectDetection''',
       ]

if TYPE_CHECKING:
       from .configuration_owlvit import (
           OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
           OwlViTConfig,
           OwlViTOnnxConfig,
           OwlViTTextConfig,
           OwlViTVisionConfig,
       )
       from .processing_owlvit import OwlViTProcessor

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_owlvit import OwlViTFeatureExtractor
              from .image_processing_owlvit import OwlViTImageProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_owlvit import (
                  OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  OwlViTForObjectDetection,
                  OwlViTModel,
                  OwlViTPreTrainedModel,
                  OwlViTTextModel,
                  OwlViTVisionModel,
              )

else:
       import sys

       UpperCAmelCase					 =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


