





'''simple docstring'''






import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class 			lowerCamelCase					(						__UpperCAmelCase     ,							unittest.TestCase  ):
					_SCREAMING_SNAKE_CASE							   =    RoCBertTokenizer
					_SCREAMING_SNAKE_CASE							   =    None
					_SCREAMING_SNAKE_CASE							   =    False
					_SCREAMING_SNAKE_CASE							   =    True
					_SCREAMING_SNAKE_CASE							   =    filter_non_english


					def    SCREAMING_SNAKE_CASE_		(					self	:  List[str]       ):





											'''simple docstring'''





											super().setUp()

											_snake_case:   int  					=		['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
											_snake_case:   Union[str, Any]  					=		{}
											_snake_case:   List[str]  					=		{}
											for i, value in enumerate(__snake_case       ):
																	_snake_case:   Union[str, Any]  					=		i
																	_snake_case:   Any  					=		i
											_snake_case:   List[Any]  					=		os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['vocab_file']       )
											_snake_case:   List[Any]  					=		os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['word_shape_file']       )
											_snake_case:   str  					=		os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES['word_pronunciation_file']       )
											with open(self.vocab_file       ,     'w'       ,     encoding='utf-8'       ) as vocab_writer:
																	vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]       )       )
											with open(self.word_shape_file       ,     'w'       ,     encoding='utf-8'       ) as word_shape_writer:
																	json.dump(__snake_case       ,     __snake_case       ,     ensure_ascii=__snake_case       )
											with open(self.word_pronunciation_file       ,     'w'       ,     encoding='utf-8'       ) as word_pronunciation_writer:
																	json.dump(__snake_case       ,     __snake_case       ,     ensure_ascii=__snake_case       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Dict       ):





											'''simple docstring'''





											_snake_case:   List[Any]  					=		self.tokenizer_class(self.vocab_file       ,     self.word_shape_file       ,     self.word_pronunciation_file       )

											_snake_case:   int  					=		tokenizer.tokenize('你好[SEP]你是谁'       )
											self.assertListEqual(__snake_case       ,     ['你', '好', '[SEP]', '你', '是', '谁']       )
											self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case       )       ,     [5, 6, 2, 5, 7, 8]       )
											self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(__snake_case       )       ,     [5, 6, 2, 5, 7, 8]       )
											self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(__snake_case       )       ,     [5, 6, 2, 5, 7, 8]       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Optional[int]       ):





											'''simple docstring'''





											_snake_case:   Union[str, Any]  					=		RoCBertBasicTokenizer()

											self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'       )       ,     ['ah', '\u535A', '\u63A8', 'zz']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Tuple       ):





											'''simple docstring'''





											_snake_case:   Optional[Any]  					=		RoCBertBasicTokenizer(do_lower_case=__snake_case       )

											self.assertListEqual(
											    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '       )       ,     ['hello', '!', 'how', 'are', 'you', '?']       )
											self.assertListEqual(tokenizer.tokenize('H\u00E9llo'       )       ,     ['hello']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Any       ):





											'''simple docstring'''





											_snake_case:   Optional[Any]  					=		RoCBertBasicTokenizer(do_lower_case=__snake_case       ,     strip_accents=__snake_case       )

											self.assertListEqual(
											    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '       )       ,     ['hällo', '!', 'how', 'are', 'you', '?']       )
											self.assertListEqual(tokenizer.tokenize('H\u00E9llo'       )       ,     ['h\u00E9llo']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ):





											'''simple docstring'''





											_snake_case:   int  					=		RoCBertBasicTokenizer(do_lower_case=__snake_case       ,     strip_accents=__snake_case       )

											self.assertListEqual(
											    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '       )       ,     ['hallo', '!', 'how', 'are', 'you', '?']       )
											self.assertListEqual(tokenizer.tokenize('H\u00E9llo'       )       ,     ['hello']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ):





											'''simple docstring'''





											_snake_case:   Union[str, Any]  					=		RoCBertBasicTokenizer(do_lower_case=__snake_case       )

											self.assertListEqual(
											    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '       )       ,     ['hallo', '!', 'how', 'are', 'you', '?']       )
											self.assertListEqual(tokenizer.tokenize('H\u00E9llo'       )       ,     ['hello']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Dict       ):





											'''simple docstring'''





											_snake_case:   Tuple  					=		RoCBertBasicTokenizer(do_lower_case=__snake_case       )

											self.assertListEqual(
											    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '       )       ,     ['HeLLo', '!', 'how', 'Are', 'yoU', '?']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  List[str]       ):





											'''simple docstring'''





											_snake_case:   int  					=		RoCBertBasicTokenizer(do_lower_case=__snake_case       ,     strip_accents=__snake_case       )

											self.assertListEqual(
											    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '       )       ,     ['HäLLo', '!', 'how', 'Are', 'yoU', '?']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  List[str]       ):





											'''simple docstring'''





											_snake_case:   Optional[int]  					=		RoCBertBasicTokenizer(do_lower_case=__snake_case       ,     strip_accents=__snake_case       )

											self.assertListEqual(
											    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '       )       ,     ['HaLLo', '!', 'how', 'Are', 'yoU', '?']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Dict       ):





											'''simple docstring'''





											_snake_case:   Tuple  					=		RoCBertBasicTokenizer(do_lower_case=__snake_case       ,     never_split=['[UNK]']       )

											self.assertListEqual(
											    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'       )       ,     ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Optional[int]       ):





											'''simple docstring'''





											_snake_case:   Any  					=		['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

											_snake_case:   List[Any]  					=		{}
											for i, token in enumerate(__snake_case       ):
																	_snake_case:   Dict  					=		i
											_snake_case:   Tuple  					=		RoCBertWordpieceTokenizer(vocab=__snake_case       ,     unk_token='[UNK]'       )

											self.assertListEqual(tokenizer.tokenize(''       )       ,     []       )

											self.assertListEqual(tokenizer.tokenize('unwanted running'       )       ,     ['un', '##want', '##ed', 'runn', '##ing']       )

											self.assertListEqual(tokenizer.tokenize('unwantedX running'       )       ,     ['[UNK]', 'runn', '##ing']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ):





											'''simple docstring'''





											self.assertTrue(_is_whitespace(' '       )       )
											self.assertTrue(_is_whitespace('\t'       )       )
											self.assertTrue(_is_whitespace('\r'       )       )
											self.assertTrue(_is_whitespace('\n'       )       )
											self.assertTrue(_is_whitespace('\u00A0'       )       )

											self.assertFalse(_is_whitespace('A'       )       )
											self.assertFalse(_is_whitespace('-'       )       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Optional[int]       ):





											'''simple docstring'''





											self.assertTrue(_is_control('\u0005'       )       )

											self.assertFalse(_is_control('A'       )       )
											self.assertFalse(_is_control(' '       )       )
											self.assertFalse(_is_control('\t'       )       )
											self.assertFalse(_is_control('\r'       )       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  int       ):





											'''simple docstring'''





											self.assertTrue(_is_punctuation('-'       )       )
											self.assertTrue(_is_punctuation('$'       )       )
											self.assertTrue(_is_punctuation('`'       )       )
											self.assertTrue(_is_punctuation('.'       )       )

											self.assertFalse(_is_punctuation('A'       )       )
											self.assertFalse(_is_punctuation(' '       )       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  str       ):





											'''simple docstring'''





											_snake_case:   List[Any]  					=		self.get_tokenizer()

											# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
											self.assertListEqual([tokenizer.tokenize(__snake_case       ) for t in ['Test', '\xad', 'test']]       ,     [['[UNK]'], [], ['[UNK]']]       )

											if self.test_rust_tokenizer:
																	_snake_case:   List[str]  					=		self.get_rust_tokenizer()
																	self.assertListEqual(
																	    [rust_tokenizer.tokenize(__snake_case       ) for t in ['Test', '\xad', 'test']]       ,     [['[UNK]'], [], ['[UNK]']]       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Tuple       ):





											'''simple docstring'''





											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''       ):
																							_snake_case:   Optional[int]  					=		self.rust_tokenizer_class.from_pretrained(__snake_case       ,     **__snake_case       )

																							_snake_case:   Union[str, Any]  					=		f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																							_snake_case:   str  					=		tokenizer_r.encode_plus(
																							    __snake_case       ,     return_attention_mask=__snake_case       ,     return_token_type_ids=__snake_case       ,     return_offsets_mapping=__snake_case       ,     add_special_tokens=__snake_case       ,     )

																							_snake_case:   Optional[Any]  					=		tokenizer_r.do_lower_case if hasattr(__snake_case       ,     'do_lower_case'       ) else False
																							_snake_case:   Optional[int]  					=		(
																							    [
																							        ((0, 0), tokenizer_r.cls_token),
																							        ((0, 1), 'A'),
																							        ((1, 2), ','),
																							        ((3, 5), 'na'),
																							        ((5, 6), '##ï'),
																							        ((6, 8), '##ve'),
																							        ((9, 15), tokenizer_r.mask_token),
																							        ((16, 21), 'Allen'),
																							        ((21, 23), '##NL'),
																							        ((23, 24), '##P'),
																							        ((25, 33), 'sentence'),
																							        ((33, 34), '.'),
																							        ((0, 0), tokenizer_r.sep_token),
																							    ]
																							    if not do_lower_case
																							    else [
																							        ((0, 0), tokenizer_r.cls_token),
																							        ((0, 1), 'a'),
																							        ((1, 2), ','),
																							        ((3, 8), 'naive'),
																							        ((9, 15), tokenizer_r.mask_token),
																							        ((16, 21), 'allen'),
																							        ((21, 23), '##nl'),
																							        ((23, 24), '##p'),
																							        ((25, 33), 'sentence'),
																							        ((33, 34), '.'),
																							        ((0, 0), tokenizer_r.sep_token),
																							    ]
																							)

																							self.assertEqual(
																							    [e[1] for e in expected_results]       ,     tokenizer_r.convert_ids_to_tokens(tokens['input_ids']       )       )
																							self.assertEqual([e[0] for e in expected_results]       ,     tokens['offset_mapping']       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ):





											'''simple docstring'''





											_snake_case:   Union[str, Any]  					=		['的', '人', '有']
											_snake_case:   str  					=		''.join(__snake_case       )
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''       ):
																							_snake_case:   Optional[Any]  					=		True
																							_snake_case:   Union[str, Any]  					=		self.tokenizer_class.from_pretrained(__snake_case       ,     **__snake_case       )
																							_snake_case:   Any  					=		self.rust_tokenizer_class.from_pretrained(__snake_case       ,     **__snake_case       )

																							_snake_case:   Tuple  					=		tokenizer_p.encode(__snake_case       ,     add_special_tokens=__snake_case       )
																							_snake_case:   Any  					=		tokenizer_r.encode(__snake_case       ,     add_special_tokens=__snake_case       )

																							_snake_case:   Optional[Any]  					=		tokenizer_r.convert_ids_to_tokens(__snake_case       )
																							_snake_case:   Optional[int]  					=		tokenizer_p.convert_ids_to_tokens(__snake_case       )

																							# it is expected that each Chinese character is not preceded by "##"
																							self.assertListEqual(__snake_case       ,     __snake_case       )
																							self.assertListEqual(__snake_case       ,     __snake_case       )

																							_snake_case:   Dict  					=		False
																							_snake_case:   List[Any]  					=		self.rust_tokenizer_class.from_pretrained(__snake_case       ,     **__snake_case       )
																							_snake_case:   int  					=		self.tokenizer_class.from_pretrained(__snake_case       ,     **__snake_case       )

																							_snake_case:   str  					=		tokenizer_r.encode(__snake_case       ,     add_special_tokens=__snake_case       )
																							_snake_case:   int  					=		tokenizer_p.encode(__snake_case       ,     add_special_tokens=__snake_case       )

																							_snake_case:   Tuple  					=		tokenizer_r.convert_ids_to_tokens(__snake_case       )
																							_snake_case:   Tuple  					=		tokenizer_p.convert_ids_to_tokens(__snake_case       )

																							# it is expected that only the first Chinese character is not preceded by "##".
																							_snake_case:   str  					=		[
																							    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(__snake_case       )
																							]
																							self.assertListEqual(__snake_case       ,     __snake_case       )
																							self.assertListEqual(__snake_case       ,     __snake_case       )


					@slow
					def    SCREAMING_SNAKE_CASE_		(					self	:  int       ):





											'''simple docstring'''





											_snake_case:   Union[str, Any]  					=		self.tokenizer_class(self.vocab_file       ,     self.word_shape_file       ,     self.word_pronunciation_file       )

											_snake_case:   int  					=		tokenizer.encode('你好'       ,     add_special_tokens=__snake_case       )
											_snake_case:   Tuple  					=		tokenizer.encode('你是谁'       ,     add_special_tokens=__snake_case       )

											_snake_case:   Dict  					=		tokenizer.build_inputs_with_special_tokens(__snake_case       )
											_snake_case:   Optional[int]  					=		tokenizer.build_inputs_with_special_tokens(__snake_case       ,     __snake_case       )

											assert encoded_sentence == [1] + text + [2]
											assert encoded_pair == [1] + text + [2] + text_a + [2]




					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ):





											'''simple docstring'''





											_snake_case:   List[str]  					=		self.get_tokenizers(do_lower_case=__snake_case       )
											for tokenizer in tokenizers:
																	with self.subTest(f'''{tokenizer.__class__.__name__}'''       ):
																							_snake_case:   int  					=		'你好，你是谁'
																							_snake_case:   Optional[int]  					=		tokenizer.tokenize(__snake_case       )
																							_snake_case:   Dict  					=		tokenizer.convert_tokens_to_ids(__snake_case       )
																							_snake_case:   Optional[int]  					=		tokenizer.convert_tokens_to_shape_ids(__snake_case       )
																							_snake_case:   Union[str, Any]  					=		tokenizer.convert_tokens_to_pronunciation_ids(__snake_case       )
																							_snake_case:   List[Any]  					=		tokenizer.prepare_for_model(
																							    __snake_case       ,     __snake_case       ,     __snake_case       ,     add_special_tokens=__snake_case       )

																							_snake_case:   Union[str, Any]  					=		tokenizer.encode_plus(__snake_case       ,     add_special_tokens=__snake_case       )

																							self.assertEqual(__snake_case       ,     __snake_case       )












'''simple docstring'''






from __future__ import annotations

import os
from collections.abc import Mapping

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







class 			lowerCamelCase					:


					def __init__(					self	:  Tuple       ,     __snake_case	:  set[int]       ,     __snake_case	:  Mapping[EdgeT, int]       ):





											'''simple docstring'''





											_snake_case:   set[int]  					=		vertices
											_snake_case:   dict[EdgeT, int]  					=		{
											    (min(__snake_case       ), max(__snake_case       )): weight for edge, weight in edges.items()
											}


					def    SCREAMING_SNAKE_CASE_		(					self	:  int       ,     __snake_case	:  EdgeT       ,     __snake_case	:  int       ):





											'''simple docstring'''





											self.vertices.add(edge[0]       )
											self.vertices.add(edge[1]       )
											_snake_case:   Dict  					=		weight




					def    SCREAMING_SNAKE_CASE_		(					self	:  str       ):





											'''simple docstring'''





											_snake_case:   Graph  					=		Graph({min(self.vertices       )}       ,     {}       )
											_snake_case:   EdgeT
											_snake_case:   int
											_snake_case:   EdgeT
											_snake_case:   int

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

																	subgraph.add_edge(__snake_case       ,     __snake_case       )

											return subgraph





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

						with open(lowercase__						) as f:
												_snake_case:   Tuple  					=		f.read().strip().split('\n'						)

						_snake_case:   Tuple  					=		[line.split(','						) for line in data]

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

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

						_snake_case:   Graph  					=		graph.prims_algorithm()

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

						return initial_total - optimal_total


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





