



"""simple docstring"""






from __future__ import annotations

import os
from collections.abc import Mapping

snake_case   					=				tuple[int, int]



class     UpperCAmelCase    :



   def __init__(       self    :	List[Any]							,       __lowerCamelCase    :	set[int]							,       __lowerCamelCase    :	Mapping[EdgeT, int]				):



     """simple docstring"""
     _snake_case   	=      vertices
     _snake_case   	=      {
         (min(__lowerCamelCase				), max(__lowerCamelCase				)): weight for edge, weight in edges.items()
     }



   def    __UpperCAmelCase    (       self    :	Union[str, Any]							,       __lowerCamelCase    :	EdgeT							,       __lowerCamelCase    :	int				):



     """simple docstring"""
     self.vertices.add(edge[0]				)
     self.vertices.add(edge[1]				)
     _snake_case   	=      weight





   def    __UpperCAmelCase    (       self    :	Union[str, Any]				):



     """simple docstring"""
     _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(__lowerCamelCase							,       __lowerCamelCase				)

     return subgraph




def 			snake_case		(		lowerCAmelCase_ = "p107_network.txt"	)						->				int:
  _snake_case   	=      os.path.abspath(os.path.dirname(lowerCAmelCase_	)	)
  _snake_case   	=      os.path.join(lowerCAmelCase_  ,						lowerCAmelCase_	)
  _snake_case   	=      {}
  _snake_case   	=      42
  _snake_case   	=      42
  _snake_case   	=      42

  with open(lowerCAmelCase_	) as f:
    _snake_case   	=      f.read().strip().split('''\n'''	)

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

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

  _snake_case   	=      Graph(set(range(len(lowerCAmelCase_	)	)	)  ,						lowerCAmelCase_	)

  _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() = }")










"""simple docstring"""






import os
from pathlib import Path




def 			snake_case		(		)						->				Tuple:
  from torch.utils.cpp_extension import load

  _snake_case   	=      Path(lowerCAmelCase_	).resolve().parent.parent.parent / '''kernels''' / '''deformable_detr'''
  _snake_case   	=      [
      root / filename
      for filename in [
          '''vision.cpp''',
          os.path.join('''cpu'''  ,						'''ms_deform_attn_cpu.cpp'''	),
          os.path.join('''cuda'''  ,						'''ms_deform_attn_cuda.cu'''	),
      ]
  ]

  load(
      '''MultiScaleDeformableAttention'''  ,						lowerCAmelCase_  ,						with_cuda=lowerCAmelCase_  ,						extra_include_paths=[str(lowerCAmelCase_	)]  ,						extra_cflags=['''-DWITH_CUDA=1''']  ,						extra_cuda_cflags=[
          '''-DCUDA_HAS_FP16=1''',
          '''-D__CUDA_NO_HALF_OPERATORS__''',
          '''-D__CUDA_NO_HALF_CONVERSIONS__''',
          '''-D__CUDA_NO_HALF2_OPERATORS__''',
      ]  ,						)

  import MultiScaleDeformableAttention as MSDA

  return MSDA





