



'''simple docstring'''






import numpy as np
import torch
from torch.utils.data import DataLoader

from accelerate.utils.dataclasses import DistributedType

class 							a__:







    def __init__(				self			:  Optional[int]						,      __snake_case			:  int=2						,      __snake_case			:  str=3						,      __snake_case			:  Union[str, Any]=64						,      __snake_case			:  Dict=None     ):
      a						: Optional[Any]					       =					np.random.default_rng(__snake_case     )
      a						: int					       =					length
      a						: List[str]					       =					rng.normal(size=(length,)     ).astype(np.floataa     )
      a						: List[str]					       =					a * self.x + b + rng.normal(scale=0.1						,      size=(length,)     ).astype(np.floataa     )







    def __len__(				self			:  str     ):
      return self.length







    def __getitem__(				self			:  str						,      __snake_case			:  int     ):
      return {"x": self.x[i], "y": self.y[i]}

class 							a__( torch.nn.Module     ):







    def __init__(				self			:  List[Any]						,      __snake_case			:  str=0						,      __snake_case			:  Any=0						,      __snake_case			:  Optional[Any]=False     ):
      super().__init__()
      a						: Union[str, Any]					       =					torch.nn.Parameter(torch.tensor([2, 3]     ).float()     )
      a						: Optional[Any]					       =					torch.nn.Parameter(torch.tensor([2, 3]     ).float()     )
      a						: List[str]					       =					True







    def       lowercase_	(				self			:  Union[str, Any]						,      __snake_case			:  str=None     ):
      if self.first_batch:
        print(F"""Model dtype: {self.a.dtype}, {self.b.dtype}. Input dtype: {x.dtype}"""     )
        a						: Tuple					       =					False
      return x * self.a[0] + self.b[0]

class 							a__( torch.nn.Module     ):







    def __init__(				self			:  Tuple						,      __snake_case			:  Union[str, Any]=0						,      __snake_case			:  Any=0						,      __snake_case			:  str=False     ):
      super().__init__()
      a						: str					       =					torch.nn.Parameter(torch.tensor(__snake_case     ).float()     )
      a						: Optional[int]					       =					torch.nn.Parameter(torch.tensor(__snake_case     ).float()     )
      a						: Union[str, Any]					       =					True







    def       lowercase_	(				self			:  int						,      __snake_case			:  Optional[Any]=None     ):
      if self.first_batch:
        print(F"""Model dtype: {self.a.dtype}, {self.b.dtype}. Input dtype: {x.dtype}"""     )
        a						: List[str]					       =					False
      return x * self.a + self.b
def 				lowerCamelCase__	(						_A			,      _A = 16    ):
  from datasets import load_dataset
  from transformers import AutoTokenizer

  a						: str					       =					AutoTokenizer.from_pretrained('bert-base-cased'    )
  a						: List[str]					       =					{'train': 'tests/test_samples/MRPC/train.csv', 'validation': 'tests/test_samples/MRPC/dev.csv'}
  a						: List[str]					       =					load_dataset('csv'			,      data_files=_A    )
  a						: Optional[Any]					       =					datasets['train'].unique('label'    )

  a						: Dict					       =					{v: i for i, v in enumerate(_A    )}

  def tokenize_function(_A    ):
    # max_length=None => use the model max length (it's actually the default)
    a						: Any					       =					tokenizer(
        examples['sentence1']			,      examples['sentence2']			,      truncation=_A			,      max_length=_A			,      padding='max_length'    )
    if "label" in examples:
      a						: Dict					       =					[label_to_id[l] for l in examples['label']]
    return outputs

  # Apply the method we just defined to all the examples in all the splits of the dataset
  a						: Tuple					       =					datasets.map(
      _A			,      batched=_A			,      remove_columns=['sentence1', 'sentence2', 'label']			,      )

  def collate_fn(_A    ):
    # On TPU it's best to pad everything to the same length or training will be very slow.
    if accelerator.distributed_type == DistributedType.TPU:
      return tokenizer.pad(_A			,      padding='max_length'			,      max_length=128			,      return_tensors='pt'    )
    return tokenizer.pad(_A			,      padding='longest'			,      return_tensors='pt'    )

  # Instantiate dataloaders.
  a						: Optional[Any]					       =					DataLoader(tokenized_datasets['train']			,      shuffle=_A			,      collate_fn=_A			,      batch_size=2    )
  a						: Optional[Any]					       =					DataLoader(tokenized_datasets['validation']			,      shuffle=_A			,      collate_fn=_A			,      batch_size=1    )

  return train_dataloader, eval_dataloader




'''simple docstring'''






import os
import pickle
import unittest

from transformers import AutoTokenizer
from transformers.models.bert.tokenization_bert import BertTokenizer
from transformers.models.bert_japanese.tokenization_bert_japanese import (
    VOCAB_FILES_NAMES,
    BertJapaneseTokenizer,
    CharacterTokenizer,
    JumanppTokenizer,
    MecabTokenizer,
    SudachiTokenizer,
    WordpieceTokenizer,
)
from transformers.testing_utils import custom_tokenizers, require_jumanpp, require_sudachi

from ...test_tokenization_common import TokenizerTesterMixin

@custom_tokenizers
class 							a__( lowerCamelCase__		,			unittest.TestCase     ):
    lowercase__			=   BertJapaneseTokenizer
    lowercase__			=   False
    lowercase__			=   True







    def       lowercase_	(				self			:  int     ):
      super().setUp()

      a						: List[Any]					       =					[
          '[UNK]',
          '[CLS]',
          '[SEP]',
          'こんにちは',
          'こん',
          'にちは',
          'ばんは',
          '##こん',
          '##にちは',
          '##ばんは',
          '世界',
          '##世界',
          '、',
          '##、',
          '。',
          '##。',
      ]

      a						: Dict					       =					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]     )     )







    def       lowercase_	(				self			:  Any						,      __snake_case			:  str     ):
      a						: Union[str, Any]					       =					'こんにちは、世界。 \nこんばんは、世界。'
      a						: List[Any]					       =					'こんにちは 、 世界 。 こんばんは 、 世界 。'
      return input_text, output_text







    def       lowercase_	(				self			:  Optional[Any]						,      __snake_case			:  Optional[Any]     ):
      a       ,     a						: List[str]					       =					self.get_input_output_texts(__snake_case     )
      a						: Optional[int]					       =					tokenizer.encode(__snake_case						,      add_special_tokens=__snake_case     )
      a						: str					       =					tokenizer.decode(__snake_case						,      clean_up_tokenization_spaces=__snake_case     )
      return text, ids







    def       lowercase_	(				self			:  Optional[Any]     ):
      pass  # TODO add if relevant







    def       lowercase_	(				self			:  List[Any]     ):
      pass  # TODO add if relevant







    def       lowercase_	(				self			:  Dict     ):
      pass  # TODO add if relevant







    def       lowercase_	(				self			:  List[Any]     ):
      a						: Optional[int]					       =					self.tokenizer_class(self.vocab_file     )

      a						: Optional[int]					       =					tokenizer.tokenize('こんにちは、世界。\nこんばんは、世界。'     )
      self.assertListEqual(__snake_case						,      ['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']     )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case     )						,      [3, 12, 10, 14, 4, 9, 12, 10, 14]     )







    def       lowercase_	(				self			:  Union[str, Any]     ):
      a						: Tuple					       =					self.tokenizer_class(self.vocab_file						,      word_tokenizer_type='mecab'     )
      self.assertIsNotNone(__snake_case     )

      a						: List[str]					       =					'こんにちは、世界。\nこんばんは、世界。'
      a						: Tuple					       =					tokenizer.tokenize(__snake_case     )
      self.assertListEqual(__snake_case						,      ['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']     )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case     )						,      [3, 12, 10, 14, 4, 9, 12, 10, 14]     )

      a						: Optional[int]					       =					os.path.join(self.tmpdirname						,      'tokenizer.bin'     )
      with open(__snake_case						,      'wb'     ) as handle:
        pickle.dump(__snake_case						,      __snake_case     )

      with open(__snake_case						,      'rb'     ) as handle:
        a						: Optional[Any]					       =					pickle.load(__snake_case     )

      a						: Tuple					       =					tokenizer_new.tokenize(__snake_case     )

      self.assertListEqual(__snake_case						,      __snake_case     )







    def       lowercase_	(				self			:  Dict     ):
      a						: List[str]					       =					MecabTokenizer(mecab_dic='ipadic'     )

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['アップルストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。']						,      )







    def       lowercase_	(				self			:  List[Any]     ):
      try:
        a						: int					       =					MecabTokenizer(mecab_dic='unidic_lite'     )
      except ModuleNotFoundError:
        return

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。']						,      )







    def       lowercase_	(				self			:  Any     ):
      try:
        a						: Union[str, Any]					       =					MecabTokenizer(mecab_dic='unidic'     )
      except ModuleNotFoundError:
        return

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。']						,      )







    def       lowercase_	(				self			:  str     ):
      a						: Tuple					       =					MecabTokenizer(do_lower_case=__snake_case						,      mecab_dic='ipadic'     )

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['アップルストア', 'で', 'iphone', '8', 'が', '発売', 'さ', 'れ', 'た', '。']						,      )







    def       lowercase_	(				self			:  Union[str, Any]     ):
      try:
        a						: Any					       =					MecabTokenizer(
            do_lower_case=__snake_case						,      normalize_text=__snake_case						,      mecab_option='-d /usr/local/lib/mecab/dic/jumandic'     )
      except RuntimeError:
        # if dict doesn't exist in the system, previous code raises this error.
        return

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['ｱｯﾌﾟﾙストア', 'で', 'iPhone', '８', 'が', '発売', 'さ', 'れた', '\u3000', '。']						,      )







    def       lowercase_	(				self			:  List[Any]     ):
      a						: Dict					       =					MecabTokenizer(normalize_text=__snake_case						,      mecab_dic='ipadic'     )

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['ｱｯﾌﾟﾙストア', 'で', 'iPhone', '８', 'が', '発売', 'さ', 'れ', 'た', '　', '。']						,      )







    @require_sudachi
    def       lowercase_	(				self			:  str     ):
      a						: Optional[int]					       =					self.tokenizer_class(self.vocab_file						,      word_tokenizer_type='sudachi'     )
      self.assertIsNotNone(__snake_case     )

      a						: List[Any]					       =					'こんにちは、世界。\nこんばんは、世界。'
      a						: int					       =					tokenizer.tokenize(__snake_case     )
      self.assertListEqual(__snake_case						,      ['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']     )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case     )						,      [3, 12, 10, 14, 4, 9, 12, 10, 14]     )

      a						: Tuple					       =					os.path.join(self.tmpdirname						,      'tokenizer.bin'     )
      with open(__snake_case						,      'wb'     ) as handle:
        pickle.dump(__snake_case						,      __snake_case     )

      with open(__snake_case						,      'rb'     ) as handle:
        a						: Optional[int]					       =					pickle.load(__snake_case     )

      a						: List[Any]					       =					tokenizer_new.tokenize(__snake_case     )

      self.assertListEqual(__snake_case						,      __snake_case     )







    @require_sudachi
    def       lowercase_	(				self			:  List[Any]     ):
      a						: Optional[Any]					       =					SudachiTokenizer(sudachi_dict_type='core'     )

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      [' ', '\t', 'アップル', 'ストア', 'で', 'iPhone', '8', ' ', 'が', ' ', ' ', '\n ', '発売', 'さ', 'れ', 'た', ' ', '。', ' ', ' ']						,      )







    @require_sudachi
    def       lowercase_	(				self			:  Any     ):
      a						: str					       =					SudachiTokenizer(sudachi_dict_type='core'						,      sudachi_split_mode='A'     )

      self.assertListEqual(tokenizer.tokenize('外国人参政権'     )						,      ['外国', '人', '参政', '権']     )







    @require_sudachi
    def       lowercase_	(				self			:  Optional[Any]     ):
      a						: Optional[int]					       =					SudachiTokenizer(sudachi_dict_type='core'						,      sudachi_split_mode='B'     )

      self.assertListEqual(tokenizer.tokenize('外国人参政権'     )						,      ['外国人', '参政権']     )







    @require_sudachi
    def       lowercase_	(				self			:  Optional[Any]     ):
      a						: Dict					       =					SudachiTokenizer(sudachi_dict_type='core'						,      sudachi_split_mode='C'     )

      self.assertListEqual(tokenizer.tokenize('外国人参政権'     )						,      ['外国人参政権']     )







    @require_sudachi
    def       lowercase_	(				self			:  Dict     ):
      a						: Optional[int]					       =					SudachiTokenizer(do_lower_case=__snake_case						,      sudachi_dict_type='core'     )

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      [' ', '\t', 'アップル', 'ストア', 'で', 'iphone', '8', ' ', 'が', ' ', ' ', '\n ', '発売', 'さ', 'れ', 'た', ' ', '。', ' ', ' ']						,      )







    @require_sudachi
    def       lowercase_	(				self			:  Tuple     ):
      a						: int					       =					SudachiTokenizer(normalize_text=__snake_case						,      sudachi_dict_type='core'     )

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      [' ', '\t', 'ｱｯﾌﾟﾙ', 'ストア', 'で', 'iPhone', '８', ' ', 'が', ' ', ' ', '\n ', '発売', 'さ', 'れ', 'た', '\u3000', '。', ' ', ' ']						,      )







    @require_sudachi
    def       lowercase_	(				self			:  Union[str, Any]     ):
      a						: List[str]					       =					SudachiTokenizer(trim_whitespace=__snake_case						,      sudachi_dict_type='core'     )

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れ', 'た', '。']						,      )







    @require_jumanpp
    def       lowercase_	(				self			:  List[Any]     ):
      a						: Optional[int]					       =					self.tokenizer_class(self.vocab_file						,      word_tokenizer_type='jumanpp'     )
      self.assertIsNotNone(__snake_case     )

      a						: str					       =					'こんにちは、世界。\nこんばんは、世界。'
      a						: Tuple					       =					tokenizer.tokenize(__snake_case     )
      self.assertListEqual(__snake_case						,      ['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']     )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case     )						,      [3, 12, 10, 14, 4, 9, 12, 10, 14]     )

      a						: Optional[Any]					       =					os.path.join(self.tmpdirname						,      'tokenizer.bin'     )
      with open(__snake_case						,      'wb'     ) as handle:
        pickle.dump(__snake_case						,      __snake_case     )

      with open(__snake_case						,      'rb'     ) as handle:
        a						: List[str]					       =					pickle.load(__snake_case     )

      a						: Any					       =					tokenizer_new.tokenize(__snake_case     )

      self.assertListEqual(__snake_case						,      __snake_case     )







    @require_jumanpp
    def       lowercase_	(				self			:  List[str]     ):
      a						: Any					       =					JumanppTokenizer()

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['アップル', 'ストア', 'で', 'iPhone', '8', '\u3000', 'が', '\u3000', '\u3000', '\u3000', '発売', 'さ', 'れた', '\u3000', '。']						,      )







    @require_jumanpp
    def       lowercase_	(				self			:  List[str]     ):
      a						: List[Any]					       =					JumanppTokenizer(do_lower_case=__snake_case     )

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['アップル', 'ストア', 'で', 'iphone', '8', '\u3000', 'が', '\u3000', '\u3000', '\u3000', '発売', 'さ', 'れた', '\u3000', '。']						,      )







    @require_jumanpp
    def       lowercase_	(				self			:  Any     ):
      a						: List[Any]					       =					JumanppTokenizer(normalize_text=__snake_case     )

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['ｱ', 'ｯ', 'ﾌ', 'ﾟ', 'ﾙ', 'ストア', 'で', 'iPhone', '８', '\u3000', 'が', '\u3000', '\u3000', '\u3000', '発売', 'さ', 'れた', '\u3000', '。']						,      )







    @require_jumanpp
    def       lowercase_	(				self			:  Any     ):
      a						: str					       =					JumanppTokenizer(trim_whitespace=__snake_case     )

      self.assertListEqual(
          tokenizer.tokenize(' \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  '     )						,      ['アップル', 'ストア', 'で', 'iPhone', '8', 'が', '発売', 'さ', 'れた', '。']						,      )







    @require_jumanpp
    def       lowercase_	(				self			:  Tuple     ):
      a						: int					       =					JumanppTokenizer()

      self.assertListEqual(
          tokenizer.tokenize('ありがとうございますm(_ _)ｍ見つけるのが大変です。'     )						,      ['ありがとう', 'ございます', 'm(_ _)m', '見つける', 'の', 'が', '大変です', '。']						,      )







    def       lowercase_	(				self			:  Any     ):
      a						: int					       =					['[UNK]', '[CLS]', '[SEP]', 'こんにちは', 'こん', 'にちは', 'ばんは', '##こん', '##にちは', '##ばんは']

      a						: Optional[int]					       =					{}
      for i, token in enumerate(__snake_case     ):
        a						: Dict					       =					i
      a						: Optional[Any]					       =					WordpieceTokenizer(vocab=__snake_case						,      unk_token='[UNK]'     )

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

      self.assertListEqual(tokenizer.tokenize('こんにちは'     )						,      ['こんにちは']     )

      self.assertListEqual(tokenizer.tokenize('こんばんは'     )						,      ['こん', '##ばんは']     )

      self.assertListEqual(tokenizer.tokenize('こんばんは こんばんにちは こんにちは'     )						,      ['こん', '##ばんは', '[UNK]', 'こんにちは']     )







    def       lowercase_	(				self			:  Tuple     ):
      a						: List[Any]					       =					BertJapaneseTokenizer.from_pretrained('nlp-waseda/roberta-base-japanese-with-auto-jumanpp'     )
      a						: List[Any]					       =					tokenizer.subword_tokenizer

      a						: List[str]					       =					subword_tokenizer.tokenize('国境 の 長い トンネル を 抜ける と 雪国 であった 。'     )
      self.assertListEqual(__snake_case						,      ['▁国境', '▁の', '▁長い', '▁トンネル', '▁を', '▁抜ける', '▁と', '▁雪', '国', '▁であった', '▁。']     )

      a						: Union[str, Any]					       =					subword_tokenizer.tokenize('こんばんは こんばん にち は こんにちは'     )
      self.assertListEqual(__snake_case						,      ['▁こん', 'ばん', 'は', '▁こん', 'ばん', '▁に', 'ち', '▁は', '▁こんにちは']     )







    def       lowercase_	(				self			:  Union[str, Any]     ):
      a						: Optional[Any]					       =					self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese'     )

      a						: Dict					       =					tokenizer.encode('ありがとう。'						,      add_special_tokens=__snake_case     )
      a						: str					       =					tokenizer.encode('どういたしまして。'						,      add_special_tokens=__snake_case     )

      a						: Optional[int]					       =					tokenizer.build_inputs_with_special_tokens(__snake_case     )
      a						: Union[str, Any]					       =					tokenizer.build_inputs_with_special_tokens(__snake_case						,      __snake_case     )

      # 2 is for "[CLS]", 3 is for "[SEP]"
      assert encoded_sentence == [2] + text + [3]
      assert encoded_pair == [2] + text + [3] + text_a + [3]

@custom_tokenizers
class 							a__( lowerCamelCase__		,			unittest.TestCase     ):
    lowercase__			=   BertJapaneseTokenizer
    lowercase__			=   False







    def       lowercase_	(				self			:  List[Any]     ):
      super().setUp()

      a						: List[Any]					       =					['[UNK]', '[CLS]', '[SEP]', 'こ', 'ん', 'に', 'ち', 'は', 'ば', '世', '界', '、', '。']

      a						: 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]     )     )







    def       lowercase_	(				self			:  Optional[Any]						,      **__snake_case			:  List[Any]     ):
      return BertJapaneseTokenizer.from_pretrained(self.tmpdirname						,      subword_tokenizer_type='character'						,      **__snake_case     )







    def       lowercase_	(				self			:  Tuple						,      __snake_case			:  List[str]     ):
      a						: int					       =					'こんにちは、世界。 \nこんばんは、世界。'
      a						: Optional[Any]					       =					'こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。'
      return input_text, output_text







    def       lowercase_	(				self			:  str     ):
      pass  # TODO add if relevant







    def       lowercase_	(				self			:  List[str]     ):
      pass  # TODO add if relevant







    def       lowercase_	(				self			:  Any     ):
      pass  # TODO add if relevant







    def       lowercase_	(				self			:  Any     ):
      a						: Optional[int]					       =					self.tokenizer_class(self.vocab_file						,      subword_tokenizer_type='character'     )

      a						: Tuple					       =					tokenizer.tokenize('こんにちは、世界。 \nこんばんは、世界。'     )
      self.assertListEqual(
          __snake_case						,      ['こ', 'ん', 'に', 'ち', 'は', '、', '世', '界', '。', 'こ', 'ん', 'ば', 'ん', 'は', '、', '世', '界', '。']     )
      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(__snake_case     )						,      [3, 4, 5, 6, 7, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12]     )







    def       lowercase_	(				self			:  Any     ):
      a						: Union[str, Any]					       =					['[UNK]', '[CLS]', '[SEP]', 'こ', 'ん', 'に', 'ち', 'は', 'ば', '世', '界', '、', '。']

      a						: Optional[Any]					       =					{}
      for i, token in enumerate(__snake_case     ):
        a						: Tuple					       =					i
      a						: Optional[int]					       =					CharacterTokenizer(vocab=__snake_case						,      unk_token='[UNK]'     )

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

      self.assertListEqual(tokenizer.tokenize('こんにちは'     )						,      ['こ', 'ん', 'に', 'ち', 'は']     )

      self.assertListEqual(tokenizer.tokenize('こんにちほ'     )						,      ['こ', 'ん', 'に', 'ち', '[UNK]']     )







    def       lowercase_	(				self			:  Tuple     ):
      a						: List[Any]					       =					self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese-char'     )

      a						: Optional[int]					       =					tokenizer.encode('ありがとう。'						,      add_special_tokens=__snake_case     )
      a						: List[str]					       =					tokenizer.encode('どういたしまして。'						,      add_special_tokens=__snake_case     )

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

      # 2 is for "[CLS]", 3 is for "[SEP]"
      assert encoded_sentence == [2] + text + [3]
      assert encoded_pair == [2] + text + [3] + text_a + [3]

@custom_tokenizers
class 							a__( unittest.TestCase     ):







    def       lowercase_	(				self			:  List[str]     ):
      a						: List[Any]					       =					'cl-tohoku/bert-base-japanese'
      a						: Dict					       =					AutoTokenizer.from_pretrained(__snake_case     )
      self.assertIsInstance(__snake_case						,      __snake_case     )

class 							a__( unittest.TestCase     ):







    def       lowercase_	(				self			:  Union[str, Any]     ):
      a						: List[str]					       =					'cl-tohoku/bert-base-japanese'
      with self.assertLogs('transformers'						,      level='WARNING'     ) as cm:
        BertTokenizer.from_pretrained(__snake_case     )
        self.assertTrue(
            cm.records[0].message.startswith(
                'The tokenizer class you load from this checkpoint is not the same type as the class this function'
                ' is called from.'     )     )
      a						: Dict					       =					'bert-base-cased'
      with self.assertLogs('transformers'						,      level='WARNING'     ) as cm:
        BertJapaneseTokenizer.from_pretrained(__snake_case     )
        self.assertTrue(
            cm.records[0].message.startswith(
                'The tokenizer class you load from this checkpoint is not the same type as the class this function'
                ' is called from.'     )     )