from __future__ import annotations

import os
from collections.abc import Mapping

SCREAMING_SNAKE_CASE__		:       Dict       						=       tuple[int, int]

class    snake_case       :




  def __init__(   self  :						Tuple  ,			a_  :						set[int]  ,			a_  :						Mapping[EdgeT, int]					)->							None:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__					:					set[int]      =		vertices
       SCREAMING_SNAKE_CASE__					:					dict[EdgeT, int]      =		{
           (min(a_					), max(a_					)): weight for edge, weight in edges.items()
       }




  def 						__lowercase(   self  :						Optional[int]  ,			a_  :						EdgeT  ,			a_  :						int					)->							None:




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




  def 						__lowercase(   self  :						Optional[Any]					)->							Graph:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__					:					Graph      =		Graph({min(self.vertices					)}  ,			{}					)
       SCREAMING_SNAKE_CASE__					:					EdgeT
       SCREAMING_SNAKE_CASE__					:					int
       SCREAMING_SNAKE_CASE__					:					EdgeT
       SCREAMING_SNAKE_CASE__					:					int

       while len(subgraph.vertices					) < len(self.vertices					):
            SCREAMING_SNAKE_CASE__					:					Optional[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:
                           SCREAMING_SNAKE_CASE__					:					Any      =		edge
                           SCREAMING_SNAKE_CASE__					:					Tuple      =		weight

            subgraph.add_edge(a_  ,			a_					)

       return subgraph







def      _a					(   lowercase__	:      str = "p107_network.txt"			):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__					:					str      =		os.path.abspath(os.path.dirname(lowercase__			)			)
     SCREAMING_SNAKE_CASE__					:					str      =		os.path.join(lowercase__  ,	lowercase__			)
     SCREAMING_SNAKE_CASE__					:					dict[EdgeT, int]      =		{}
     SCREAMING_SNAKE_CASE__					:					list[str]
     SCREAMING_SNAKE_CASE__					:					int
     SCREAMING_SNAKE_CASE__					:					int

     with open(lowercase__			) as f:
          SCREAMING_SNAKE_CASE__					:					Union[str, Any]      =		f.read().strip().split('\n'			)

     SCREAMING_SNAKE_CASE__					:					Any      =		[line.split(','			) for line in data]

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

     SCREAMING_SNAKE_CASE__					:					Graph      =		Graph(set(range(len(lowercase__			)			)			)  ,	lowercase__			)

     SCREAMING_SNAKE_CASE__					:					Graph      =		graph.prims_algorithm()

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

     return initial_total - optimal_total


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






import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


_UpperCAmelCase						:  Dict									=			"""sshleifer/bart-tiny-random"""
_UpperCAmelCase						:  Optional[Any]									=			"""patrickvonplaten/t5-tiny-random"""







@require_torch
class 					lowercase							(			unittest.TestCase     ):




				@cached_property
				def        a				(   self			):
											return AutoConfig.from_pretrained(snake_case			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=1			)
											self.assertEqual(student.config.num_hidden_layers ,  1			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=snake_case			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=snake_case			)
											self.assertEqual(student.config.encoder_layers ,  1			)
											self.assertEqual(student.config.decoder_layers ,  self.teacher_config.encoder_layers			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=1			)
											self.assertEqual(student.config.encoder_layers ,  1			)
											self.assertEqual(student.config.decoder_layers ,  1			)




				def        a				(   self			):
											with self.assertRaises(snake_case			):
																		create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=snake_case ,  d=snake_case			)




