






'''simple docstring'''







from __future__ import annotations

import os
from collections.abc import Mapping

_A			:    Optional[Any]					  =tuple[int, int]

class _lowercase			:




							def __init__(							self:       Optional[int]    ,							UpperCamelCase__:       set[int]    ,							UpperCamelCase__:       Mapping[EdgeT, int]  ):
														lowerCamelCase__      :			set[int] 						= vertices
														lowerCamelCase__      :			dict[EdgeT, int] 						= {
														    (min(UpperCAmelCase__  ), max(UpperCAmelCase__  )): weight for edge, weight in edges.items()
														}




							def 	lowerCamelCase_       (							self:       Any    ,							UpperCamelCase__:       EdgeT    ,							UpperCamelCase__:       int  ):
														self.vertices.add(edge[0]  )
														self.vertices.add(edge[1]  )
														lowerCamelCase__      :			str 						= weight




							def 	lowerCamelCase_       (							self:       List[Any]  ):
														lowerCamelCase__      :			Graph 						= Graph({min(self.vertices  )}    ,							{}  )
														lowerCamelCase__      :			EdgeT
														lowerCamelCase__      :			int
														lowerCamelCase__      :			EdgeT
														lowerCamelCase__      :			int

														while len(subgraph.vertices  ) < len(self.vertices  ):
																					lowerCamelCase__      :			List[Any] 						= 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:
																																										lowerCamelCase__      :			List[Any] 						= edge
																																										lowerCamelCase__      :			int 						= weight

																					subgraph.add_edge(UpperCAmelCase__    ,							UpperCAmelCase__  )

														return subgraph





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase = "p107_network.txt"   )   -> int:
							lowerCamelCase__      :			str 						= os.path.abspath(os.path.dirname(UpperCamelCase   )   )
							lowerCamelCase__      :			str 						= os.path.join(UpperCamelCase       ,    UpperCamelCase   )
							lowerCamelCase__      :			dict[EdgeT, int] 						= {}
							lowerCamelCase__      :			list[str]
							lowerCamelCase__      :			int
							lowerCamelCase__      :			int

							with open(UpperCamelCase   ) as f:
														lowerCamelCase__      :			Tuple 						= f.read().strip().split("""\n"""   )

							lowerCamelCase__      :			Union[str, Any] 						= [line.split(""","""   ) for line in data]

							for edgea in range(1       ,    len(UpperCamelCase   )   ):
														for edgea in range(UpperCamelCase   ):
																					if adjaceny_matrix[edgea][edgea] != "-":
																												lowerCamelCase__      :			Tuple 						= int(adjaceny_matrix[edgea][edgea]   )

							lowerCamelCase__      :			Graph 						= Graph(set(range(len(UpperCamelCase   )   )   )       ,    UpperCamelCase   )

							lowerCamelCase__      :			Graph 						= graph.prims_algorithm()

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

							return initial_total - optimal_total


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









'''simple docstring'''







# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import platform
import sys


_A			:    Dict					  ='''3'''

print('''Python version:''', sys.version)

print('''OS platform:''', platform.platform())
print('''OS architecture:''', platform.machine())

try:
			import torch

			print('''Torch version:''', torch.__version__)
			print('''Cuda available:''', torch.cuda.is_available())
			print('''Cuda version:''', torch.version.cuda)
			print('''CuDNN version:''', torch.backends.cudnn.version())
			print('''Number of GPUs available:''', torch.cuda.device_count())
except ImportError:
			print('''Torch version:''', None)

try:
			import transformers

			print('''transformers version:''', transformers.__version__)
except ImportError:
			print('''transformers version:''', None)

