


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   _a      (      SCREAMING_SNAKE_CASE_		,		unittest.TestCase ):
    a_    :				str             =    RoCBertTokenizer
    a_    :				Optional[int]             =    None
    a_    :				Any             =    False
    a_    :				Union[str, Any]             =    True
    a_    :				str             =    filter_non_english
    def      _UpperCamelCase       ( self							:					List[Any]				):
          super().setUp()

          lowerCamelCase__           =		['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
          lowerCamelCase__           =		{}
          lowerCamelCase__           =		{}
          for i, value in enumerate(SCREAMING_SNAKE_CASE__				):
                lowerCamelCase__           =		i
                lowerCamelCase__           =		i
          lowerCamelCase__           =		os.path.join(self.tmpdirname							,					VOCAB_FILES_NAMES['vocab_file']				)
          lowerCamelCase__           =		os.path.join(self.tmpdirname							,					VOCAB_FILES_NAMES['word_shape_file']				)
          lowerCamelCase__           =		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(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__							,					ensure_ascii=SCREAMING_SNAKE_CASE__				)
          with open(self.word_pronunciation_file							,					'w'							,					encoding='utf-8'				) as word_pronunciation_writer:
                json.dump(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__							,					ensure_ascii=SCREAMING_SNAKE_CASE__				)
    def      _UpperCamelCase       ( self							:					Dict				):
          lowerCamelCase__           =		self.tokenizer_class(self.vocab_file							,					self.word_shape_file							,					self.word_pronunciation_file				)

          lowerCamelCase__           =		tokenizer.tokenize('你好[SEP]你是谁'				)
          self.assertListEqual(SCREAMING_SNAKE_CASE__							,					['你', '好', '[SEP]', '你', '是', '谁']				)
          self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__				)							,					[5, 6, 2, 5, 7, 8]				)
          self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(SCREAMING_SNAKE_CASE__				)							,					[5, 6, 2, 5, 7, 8]				)
          self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(SCREAMING_SNAKE_CASE__				)							,					[5, 6, 2, 5, 7, 8]				)
    def      _UpperCamelCase       ( self							:					List[Any]				):
          lowerCamelCase__           =		RoCBertBasicTokenizer()

          self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'				)							,					['ah', '\u535A', '\u63A8', 'zz']				)
    def      _UpperCamelCase       ( self							:					str				):
          lowerCamelCase__           =		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__				)

          self.assertListEqual(
              tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '				)							,					['hello', '!', 'how', 'are', 'you', '?']				)
          self.assertListEqual(tokenizer.tokenize('H\u00E9llo'				)							,					['hello']				)
    def      _UpperCamelCase       ( self							:					Union[str, Any]				):
          lowerCamelCase__           =		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__							,					strip_accents=SCREAMING_SNAKE_CASE__				)

          self.assertListEqual(
              tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '				)							,					['hällo', '!', 'how', 'are', 'you', '?']				)
          self.assertListEqual(tokenizer.tokenize('H\u00E9llo'				)							,					['h\u00E9llo']				)
    def      _UpperCamelCase       ( self							:					Optional[int]				):
          lowerCamelCase__           =		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__							,					strip_accents=SCREAMING_SNAKE_CASE__				)

          self.assertListEqual(
              tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '				)							,					['hallo', '!', 'how', 'are', 'you', '?']				)
          self.assertListEqual(tokenizer.tokenize('H\u00E9llo'				)							,					['hello']				)
    def      _UpperCamelCase       ( self							:					Dict				):
          lowerCamelCase__           =		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__				)

          self.assertListEqual(
              tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '				)							,					['hallo', '!', 'how', 'are', 'you', '?']				)
          self.assertListEqual(tokenizer.tokenize('H\u00E9llo'				)							,					['hello']				)
    def      _UpperCamelCase       ( self							:					Any				):
          lowerCamelCase__           =		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__				)

          self.assertListEqual(
              tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '				)							,					['HeLLo', '!', 'how', 'Are', 'yoU', '?']				)
    def      _UpperCamelCase       ( self							:					Dict				):
          lowerCamelCase__           =		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__							,					strip_accents=SCREAMING_SNAKE_CASE__				)

          self.assertListEqual(
              tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '				)							,					['HäLLo', '!', 'how', 'Are', 'yoU', '?']				)
    def      _UpperCamelCase       ( self							:					Dict				):
          lowerCamelCase__           =		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__							,					strip_accents=SCREAMING_SNAKE_CASE__				)

          self.assertListEqual(
              tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '				)							,					['HaLLo', '!', 'how', 'Are', 'yoU', '?']				)
    def      _UpperCamelCase       ( self							:					Tuple				):
          lowerCamelCase__           =		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE__							,					never_split=['[UNK]']				)

          self.assertListEqual(
              tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'				)							,					['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']				)
    def      _UpperCamelCase       ( self							:					Dict				):
          lowerCamelCase__           =		['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

          lowerCamelCase__           =		{}
          for i, token in enumerate(SCREAMING_SNAKE_CASE__				):
                lowerCamelCase__           =		i
          lowerCamelCase__           =		RoCBertWordpieceTokenizer(vocab=SCREAMING_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      _UpperCamelCase       ( self							:					List[Any]				):
          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      _UpperCamelCase       ( self							:					Optional[Any]				):
          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      _UpperCamelCase       ( self							:					str				):
          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      _UpperCamelCase       ( self							:					Dict				):
          lowerCamelCase__           =		self.get_tokenizer()

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

          if self.test_rust_tokenizer:
                lowerCamelCase__           =		self.get_rust_tokenizer()
                self.assertListEqual(
                    [rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE__				) for t in ['Test', '\xad', 'test']]							,					[['[UNK]'], [], ['[UNK]']]				)
    def      _UpperCamelCase       ( self							:					Union[str, Any]				):
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__							,					**SCREAMING_SNAKE_CASE__				)

                      lowerCamelCase__           =		F'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
                      lowerCamelCase__           =		tokenizer_r.encode_plus(
                          SCREAMING_SNAKE_CASE__							,					return_attention_mask=SCREAMING_SNAKE_CASE__							,					return_token_type_ids=SCREAMING_SNAKE_CASE__							,					return_offsets_mapping=SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__							,					)

                      lowerCamelCase__           =		tokenizer_r.do_lower_case if hasattr(SCREAMING_SNAKE_CASE__							,					'do_lower_case'				) else False
                      lowerCamelCase__           =		(
                          [
                              ((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      _UpperCamelCase       ( self							:					Any				):
          lowerCamelCase__           =		['的', '人', '有']
          lowerCamelCase__           =		''.join(SCREAMING_SNAKE_CASE__				)
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
                      lowerCamelCase__           =		True
                      lowerCamelCase__           =		self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__							,					**SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__							,					**SCREAMING_SNAKE_CASE__				)

                      lowerCamelCase__           =		tokenizer_p.encode(SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_r.encode(SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)

                      lowerCamelCase__           =		tokenizer_r.convert_ids_to_tokens(SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_p.convert_ids_to_tokens(SCREAMING_SNAKE_CASE__				)

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

                      lowerCamelCase__           =		False
                      lowerCamelCase__           =		self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__							,					**SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__							,					**SCREAMING_SNAKE_CASE__				)

                      lowerCamelCase__           =		tokenizer_r.encode(SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_p.encode(SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)

                      lowerCamelCase__           =		tokenizer_r.convert_ids_to_tokens(SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer_p.convert_ids_to_tokens(SCREAMING_SNAKE_CASE__				)

                      # it is expected that only the first Chinese character is not preceded by "##".
                      lowerCamelCase__           =		[
                          F'##{token}' if idx != 0 else token for idx, token in enumerate(SCREAMING_SNAKE_CASE__				)
                      ]
                      self.assertListEqual(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)
                      self.assertListEqual(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)
    @slow
    def      _UpperCamelCase       ( self							:					Optional[int]				):
          lowerCamelCase__           =		self.tokenizer_class(self.vocab_file							,					self.word_shape_file							,					self.word_pronunciation_file				)

          lowerCamelCase__           =		tokenizer.encode('你好'							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		tokenizer.encode('你是谁'							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)

          lowerCamelCase__           =		tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__				)
          lowerCamelCase__           =		tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)

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


    def      _UpperCamelCase       ( self							:					Dict				):
          lowerCamelCase__           =		self.get_tokenizers(do_lower_case=SCREAMING_SNAKE_CASE__				)
          for tokenizer in tokenizers:
                with self.subTest(F'{tokenizer.__class__.__name__}'				):
                      lowerCamelCase__           =		'你好，你是谁'
                      lowerCamelCase__           =		tokenizer.tokenize(SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer.convert_tokens_to_shape_ids(SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer.convert_tokens_to_pronunciation_ids(SCREAMING_SNAKE_CASE__				)
                      lowerCamelCase__           =		tokenizer.prepare_for_model(
                          SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)

                      lowerCamelCase__           =		tokenizer.encode_plus(SCREAMING_SNAKE_CASE__							,					add_special_tokens=SCREAMING_SNAKE_CASE__				)

                      self.assertEqual(SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__				)







"""simple docstring"""


def   snake_case						(				_a:     List[Any]		,   _a:     Any		,   _a:     str		,   _a:     List[Any]							)->		List[Any]:
      '''simple docstring'''


      lowerCamelCase__           =		[False] * len(_a							)
      lowerCamelCase__           =		[]
      queue.append(_a							)
      lowerCamelCase__           =		True

      while queue:
            lowerCamelCase__           =		queue.pop(0							)
            for ind in range(len(graph[u]							)							):
                  if visited[ind] is False and graph[u][ind] > 0:
                        queue.append(_a							)
                        lowerCamelCase__           =		True
                        lowerCamelCase__           =		u

      return visited[t]



def   snake_case						(				_a:     List[Any]		,   _a:     str		,   _a:     List[str]							)->		Optional[int]:
      '''simple docstring'''


      lowerCamelCase__           =		[-1] * (len(_a							))
      lowerCamelCase__           =		0
      while bfs(_a		,   _a		,   _a		,   _a							):
            lowerCamelCase__           =		float('Inf'							)
            lowerCamelCase__           =		sink

            while s != source:
                  # Find the minimum value in select path
                  lowerCamelCase__           =		min(_a		,   graph[parent[s]][s]							)
                  lowerCamelCase__           =		parent[s]

            max_flow += path_flow
            lowerCamelCase__           =		sink

            while v != source:
                  lowerCamelCase__           =		parent[v]
                  graph[u][v] -= path_flow
                  graph[v][u] += path_flow
                  lowerCamelCase__           =		parent[v]
      return max_flow


_snake_case          =							[
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

_snake_case      ,					_snake_case          =							0, 5






print(ford_fulkerson(graph, source, sink))



