




from __future__ import annotations

import os
from collections.abc import Mapping

_snake_case            = tuple[int, int]







class 		lowercase							:

     def __init__(						self	,  _a	,  _a       )		->							None:
           _A							:  set[int]    =		vertices
           _A							:  dict[EdgeT, int]    =		{
               (min(_a       ), max(_a       )): weight for edge, weight in edges.items()
           }

     def       a__			(						self	,  _a	,  _a       )		->							None:
           self.vertices.add(edge[0]       )
           self.vertices.add(edge[1]       )
           _A							:  Union[str, Any]    =		weight



     def       a__			(						self       )		->							Graph:
           _A							:  Graph    =		Graph({min(self.vertices       )}	,  {}       )
           _A							:  EdgeT
           _A							:  int
           _A							:  EdgeT
           _A							:  int

           while len(subgraph.vertices       ) < len(self.vertices       ):
                 _A							:  Dict    =		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:
                                   _A							:  List[str]    =		edge
                                   _A							:  Any    =		weight

                 subgraph.add_edge(_a	,  _a       )

           return subgraph







def        lowerCAmelCase_			(  snake_case_ = "p107_network.txt"  ):
      _A							:  str    =		os.path.abspath(os.path.dirname(snake_case_  )  )
      _A							:  str    =		os.path.join(snake_case_,snake_case_  )
      _A							:  dict[EdgeT, int]    =		{}
      _A							:  list[str]
      _A							:  int
      _A							:  int

      with open(snake_case_  ) as f:
            _A							:  Union[str, Any]    =		f.read().strip().split("""\n"""  )

      _A							:  Tuple    =		[line.split(""","""  ) for line in data]

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

      _A							:  Graph    =		Graph(set(range(len(snake_case_  )  )  ),snake_case_  )

      _A							:  Graph    =		graph.prims_algorithm()

      _A							:  int    =		sum(graph.edges.values()  )
      _A							:  int    =		sum(subgraph.edges.values()  )

      return initial_total - optimal_total


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







from __future__ import annotations







class 		lowercase							:

     def __init__(						self	,  _a = 0       )		->							str:
           _A							:  Any    =		key

     def       a__			(						self	,  _a	,  _a       )		->							list[str]:
           assert isinstance(_a	,  _a       ) and isinstance(_a	,  _a       )

           _A							:  Any    =		key or self.__key or 1

           # make sure key is an appropriate size
           key %= 255

           return [chr(ord(_a       ) ^ key       ) for ch in content]

     def       a__			(						self	,  _a	,  _a       )		->							list[str]:
           assert isinstance(_a	,  _a       ) and isinstance(_a	,  _a       )

           _A							:  List[Any]    =		key or self.__key or 1

           # make sure key is an appropriate size
           key %= 255

           return [chr(ord(_a       ) ^ key       ) for ch in content]

     def       a__			(						self	,  _a	,  _a = 0       )		->							str:
           assert isinstance(_a	,  _a       ) and isinstance(_a	,  _a       )

           _A							:  List[Any]    =		key or self.__key or 1

           # make sure key can be any size
           while key > 255:
                 key -= 255

           # This will be returned
           _A							:  List[str]    =		""""""

           for ch in content:
                 ans += chr(ord(_a       ) ^ key       )

           return ans

     def       a__			(						self	,  _a	,  _a = 0       )		->							str:
           assert isinstance(_a	,  _a       ) and isinstance(_a	,  _a       )

           _A							:  List[str]    =		key or self.__key or 1

           # make sure key can be any size
           while key > 255:
                 key -= 255

           # This will be returned
           _A							:  List[str]    =		""""""

           for ch in content:
                 ans += chr(ord(_a       ) ^ key       )

           return ans

     def       a__			(						self	,  _a	,  _a = 0       )		->							bool:
           assert isinstance(_a	,  _a       ) and isinstance(_a	,  _a       )

           try:
                 with open(_a       ) as fin, open("""encrypt.out"""	,  """w+"""       ) as fout:
                       # actual encrypt-process
                       for line in fin:
                             fout.write(self.encrypt_string(_a	,  _a       )       )

           except OSError:
                 return False

           return True



     def       a__			(						self	,  _a	,  _a       )		->							bool:
           assert isinstance(_a	,  _a       ) and isinstance(_a	,  _a       )

           try:
                 with open(_a       ) as fin, open("""decrypt.out"""	,  """w+"""       ) as fout:
                       # actual encrypt-process
                       for line in fin:
                             fout.write(self.decrypt_string(_a	,  _a       )       )

           except OSError:
                 return False

           return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")

