


from __future__ import annotations

import os
from collections.abc import Mapping

__lowerCAmelCase		       =							tuple[int, int]





class   __a			:
 def __init__(   self				, lowerCAmelCase__				, lowerCAmelCase__ )					->				None:




        '''simple docstring'''
        lowercase__:   set[int]  			=   vertices
        lowercase__:   dict[EdgeT, int]  			=   {
            (min(lowerCAmelCase__ ), max(lowerCAmelCase__ )): weight for edge, weight in edges.items()
        }
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ )					->				None:




        '''simple docstring'''
        self.vertices.add(edge[0] )
        self.vertices.add(edge[1] )
        lowercase__:   Optional[int]  			=   weight
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				Graph:




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

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

               subgraph.add_edge(lowerCAmelCase__				, lowerCAmelCase__ )

        return subgraph





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

       with open(snake_case     ) as f:
              lowercase__:   List[Any]  			=   f.read().strip().split('\n'     )

       lowercase__:   Any  			=   [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] != "-":
                            lowercase__:   Tuple  			=   int(adjaceny_matrix[edgea][edgea]     )

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

       lowercase__:   Graph  			=   graph.prims_algorithm()

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

       return initial_total - optimal_total


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






import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin





@require_jieba
class   __a			(    __UpperCamelCase       ,       unittest.TestCase      ):
 __lowercase :							str        = CpmAntTokenizer
 __lowercase :							List[Any]        = False
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				str:




        '''simple docstring'''
        super().setUp()

        lowercase__:   Any  			=   [
            '<d>',
            '</d>',
            '<s>',
            '</s>',
            '</_>',
            '<unk>',
            '<pad>',
            '</n>',
            '我',
            '是',
            'C',
            'P',
            'M',
            'A',
            'n',
            't',
        ]
        lowercase__:   List[Any]  			=   os.path.join(self.tmpdirname				, VOCAB_FILES_NAMES['vocab_file'] )
        with open(self.vocab_file				, 'w'				, encoding='utf-8' ) as vocab_writer:
               vocab_writer.write(''.join([x + '\n' for x in vocab_tokens] ) )
 @tooslow
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				Tuple:




        '''simple docstring'''
        lowercase__:   Optional[int]  			=   CpmAntTokenizer.from_pretrained('openbmb/cpm-ant-10b' )
        lowercase__:   Optional[Any]  			=   '今天天气真好！'
        lowercase__:   str  			=   ['今天', '天气', '真', '好', '！']
        lowercase__:   Optional[Any]  			=   tokenizer.tokenize(lowerCAmelCase__ )
        self.assertListEqual(lowerCAmelCase__				, lowerCAmelCase__ )
        lowercase__:   List[str]  			=   '今天天气真好！'
        lowercase__:   List[str]  			=   [tokenizer.bos_token] + tokens

        lowercase__:   Tuple  			=   [6, 9_802, 14_962, 2_082, 831, 244]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__ )				, lowerCAmelCase__ )

        lowercase__:   Any  			=   tokenizer.decode(lowerCAmelCase__ )
        self.assertEqual(lowerCAmelCase__				, lowerCAmelCase__ )


