






from __future__ import annotations

import os
from collections.abc import Mapping

lowerCAmelCase_           = tuple[int, int]
class      UpperCamelCase :







		"""simple docstring"""



		def __init__(  self		:       Union[str, Any]						,_SCREAMING_SNAKE_CASE		:       set[int]						,_SCREAMING_SNAKE_CASE		:       Mapping[EdgeT, int]		)    ->   None:


						'''simple docstring'''
						A	 =      vertices
						A	 =      {
						    (min(_SCREAMING_SNAKE_CASE		), max(_SCREAMING_SNAKE_CASE		)): weight for edge, weight in edges.items()
						}
		def       A(  self		:       Any						,_SCREAMING_SNAKE_CASE		:       EdgeT						,_SCREAMING_SNAKE_CASE		:       int		)    ->   None:


						'''simple docstring'''
						self.vertices.add(edge[0]		)
						self.vertices.add(edge[1]		)
						A	 =      weight







		def       A(  self		:       str		)    ->   Graph:


						'''simple docstring'''
						A	 =      Graph({min(self.vertices		)}						,{}		)
						A	 =      42
						A	 =      42
						A	 =      42
						A	 =      42

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

										subgraph.add_edge(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)

						return subgraph







def      snake_case		(							UpperCAmelCase	:       str = "p107_network.txt"   ):
				A	 =      os.path.abspath(os.path.dirname(UpperCAmelCase   )   )
				A	 =      os.path.join(UpperCAmelCase,						UpperCAmelCase   )
				A	 =      {}
				A	 =      42
				A	 =      42
				A	 =      42

				with open(UpperCAmelCase   ) as f:
								A	 =      f.read().strip().split('\n'   )

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

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

				A	 =      Graph(set(range(len(UpperCAmelCase   )   )   ),						UpperCAmelCase   )

				A	 =      graph.prims_algorithm()

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

				return initial_total - optimal_total


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













from collections import deque

from .hash_table import HashTable
class      UpperCamelCase (				snake_case__ ):







		"""simple docstring"""



		def __init__(  self		:       Any						,*_SCREAMING_SNAKE_CASE		:       Optional[int]						,**_SCREAMING_SNAKE_CASE		:       Optional[Any]		)    ->   int:


						'''simple docstring'''
						super().__init__(*_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       Optional[Any]						,_SCREAMING_SNAKE_CASE		:       Tuple		)    ->   List[str]:


						'''simple docstring'''
						A	 =      deque([]		) if self.values[key] is None else self.values[key]
						self.values[key].appendleft(_SCREAMING_SNAKE_CASE		)
						A	 =      self.values[key]
		def       A(  self		:       Optional[Any]		)    ->   Union[str, Any]:


						'''simple docstring'''
						return (
						    sum(self.charge_factor - len(_SCREAMING_SNAKE_CASE		) for slot in self.values		)
						    / self.size_table
						    * self.charge_factor
						)







		def       A(  self		:       Dict						,_SCREAMING_SNAKE_CASE		:       Optional[int]						,_SCREAMING_SNAKE_CASE		:       str=None		)    ->   Union[str, Any]:


						'''simple docstring'''
						if not (
						    len(self.values[key]		) == self.charge_factor and self.values.count(_SCREAMING_SNAKE_CASE		) == 0
						):
										return key
						return super()._collision_resolution(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)





