




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        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE       ,   unittest.TestCase					):


 '''simple docstring'''







 lowercase_				    =    BertJapaneseTokenizer
 lowercase_				    =    False
 lowercase_				    =    True



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

       SCREAMING_SNAKE_CASE_							=			[
           '[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',
           '、',
           '##、',
           '。',
           '##。',
       ]

       SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Any				,				_lowerCAmelCase  :		List[Any]						):
       SCREAMING_SNAKE_CASE_							=			'こんにちは、世界。 \nこんばんは、世界。'
       SCREAMING_SNAKE_CASE_							=			'こんにちは 、 世界 。 こんばんは 、 世界 。'
       return input_text, output_text



 def       lowerCAmelCase_  (							self  :		str				,				_lowerCAmelCase  :		List[Any]						):
       SCREAMING_SNAKE_CASE_						, SCREAMING_SNAKE_CASE_							=			self.get_input_output_texts(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			tokenizer.encode(_lowerCAmelCase				,				add_special_tokens=_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			tokenizer.decode(_lowerCAmelCase				,				clean_up_tokenization_spaces=_lowerCAmelCase						)
       return text, ids



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



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



 def       lowerCAmelCase_  (							self  :		Tuple						):
       pass  # TODO add if relevant



 def       lowerCAmelCase_  (							self  :		str						):
       SCREAMING_SNAKE_CASE_							=			self.tokenizer_class(self.vocab_file						)

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



 def       lowerCAmelCase_  (							self  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_							=			self.tokenizer_class(self.vocab_file				,				word_tokenizer_type='mecab'						)
       self.assertIsNotNone(_lowerCAmelCase						)

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

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

       with open(_lowerCAmelCase				,				'rb'						) as handle:
             SCREAMING_SNAKE_CASE_							=			pickle.load(_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			tokenizer_new.tokenize(_lowerCAmelCase						)

       self.assertListEqual(_lowerCAmelCase				,				_lowerCAmelCase						)



 def       lowerCAmelCase_  (							self  :		List[str]						):
       SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Dict						):
       try:
             SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Optional[Any]						):
       try:
             SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_							=			MecabTokenizer(do_lower_case=_lowerCAmelCase				,				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       lowerCAmelCase_  (							self  :		Tuple						):
       try:
             SCREAMING_SNAKE_CASE_							=			MecabTokenizer(
                 do_lower_case=_lowerCAmelCase				,				normalize_text=_lowerCAmelCase				,				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       lowerCAmelCase_  (							self  :		int						):
       SCREAMING_SNAKE_CASE_							=			MecabTokenizer(normalize_text=_lowerCAmelCase				,				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       lowerCAmelCase_  (							self  :		Optional[int]						):
       SCREAMING_SNAKE_CASE_							=			self.tokenizer_class(self.vocab_file				,				word_tokenizer_type='sudachi'						)
       self.assertIsNotNone(_lowerCAmelCase						)

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

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

       with open(_lowerCAmelCase				,				'rb'						) as handle:
             SCREAMING_SNAKE_CASE_							=			pickle.load(_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			tokenizer_new.tokenize(_lowerCAmelCase						)

       self.assertListEqual(_lowerCAmelCase				,				_lowerCAmelCase						)



 @require_sudachi
 def       lowerCAmelCase_  (							self  :		str						):
       SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Optional[int]						):
       SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Dict						):
       SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Optional[Any]						):
       SCREAMING_SNAKE_CASE_							=			SudachiTokenizer(do_lower_case=_lowerCAmelCase				,				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       lowerCAmelCase_  (							self  :		Dict						):
       SCREAMING_SNAKE_CASE_							=			SudachiTokenizer(normalize_text=_lowerCAmelCase				,				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       lowerCAmelCase_  (							self  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_							=			SudachiTokenizer(trim_whitespace=_lowerCAmelCase				,				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       lowerCAmelCase_  (							self  :		str						):
       SCREAMING_SNAKE_CASE_							=			self.tokenizer_class(self.vocab_file				,				word_tokenizer_type='jumanpp'						)
       self.assertIsNotNone(_lowerCAmelCase						)

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

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

       with open(_lowerCAmelCase				,				'rb'						) as handle:
             SCREAMING_SNAKE_CASE_							=			pickle.load(_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			tokenizer_new.tokenize(_lowerCAmelCase						)

       self.assertListEqual(_lowerCAmelCase				,				_lowerCAmelCase						)



 @require_jumanpp
 def       lowerCAmelCase_  (							self  :		Any						):
       SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_							=			JumanppTokenizer(do_lower_case=_lowerCAmelCase						)

       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       lowerCAmelCase_  (							self  :		int						):
       SCREAMING_SNAKE_CASE_							=			JumanppTokenizer(normalize_text=_lowerCAmelCase						)

       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       lowerCAmelCase_  (							self  :		List[str]						):
       SCREAMING_SNAKE_CASE_							=			JumanppTokenizer(trim_whitespace=_lowerCAmelCase						)

       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       lowerCAmelCase_  (							self  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Tuple						):
       SCREAMING_SNAKE_CASE_							=			['[UNK]', '[CLS]', '[SEP]', 'こんにちは', 'こん', 'にちは', 'ばんは', '##こん', '##にちは', '##ばんは']

       SCREAMING_SNAKE_CASE_							=			{}
       for i, token in enumerate(_lowerCAmelCase						):
             SCREAMING_SNAKE_CASE_							=			i
       SCREAMING_SNAKE_CASE_							=			WordpieceTokenizer(vocab=_lowerCAmelCase				,				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       lowerCAmelCase_  (							self  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_							=			BertJapaneseTokenizer.from_pretrained('nlp-waseda/roberta-base-japanese-with-auto-jumanpp'						)
       SCREAMING_SNAKE_CASE_							=			tokenizer.subword_tokenizer

       SCREAMING_SNAKE_CASE_							=			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(_lowerCAmelCase				,				['▁国境', '▁の', '▁長い', '▁トンネル', '▁を', '▁抜ける', '▁と', '▁雪', '国', '▁であった', '▁。']						)

       SCREAMING_SNAKE_CASE_							=			subword_tokenizer.tokenize('こんばんは こんばん にち は こんにちは'						)
       self.assertListEqual(_lowerCAmelCase				,				['▁こん', 'ばん', 'は', '▁こん', 'ばん', '▁に', 'ち', '▁は', '▁こんにちは']						)




 def       lowerCAmelCase_  (							self  :		Any						):
       SCREAMING_SNAKE_CASE_							=			self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese'						)

       SCREAMING_SNAKE_CASE_							=			tokenizer.encode('ありがとう。'				,				add_special_tokens=_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			tokenizer.encode('どういたしまして。'				,				add_special_tokens=_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase				,				_lowerCAmelCase						)

       # 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        lowerCamelCase_							(      _SCREAMING_SNAKE_CASE       ,   unittest.TestCase					):


 '''simple docstring'''







 lowercase_				    =    BertJapaneseTokenizer
 lowercase_				    =    False



 def       lowerCAmelCase_  (							self  :		Optional[Any]						):
       super().setUp()

       SCREAMING_SNAKE_CASE_							=			['[UNK]', '[CLS]', '[SEP]', 'こ', 'ん', 'に', 'ち', 'は', 'ば', '世', '界', '、', '。']

       SCREAMING_SNAKE_CASE_							=			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       lowerCAmelCase_  (							self  :		Union[str, Any]				,				**_lowerCAmelCase  :		List[str]						):
       return BertJapaneseTokenizer.from_pretrained(self.tmpdirname				,				subword_tokenizer_type='character'				,				**_lowerCAmelCase						)



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



 def       lowerCAmelCase_  (							self  :		Optional[int]						):
       pass  # TODO add if relevant



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



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



 def       lowerCAmelCase_  (							self  :		str						):
       SCREAMING_SNAKE_CASE_							=			self.tokenizer_class(self.vocab_file				,				subword_tokenizer_type='character'						)

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



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

       SCREAMING_SNAKE_CASE_							=			{}
       for i, token in enumerate(_lowerCAmelCase						):
             SCREAMING_SNAKE_CASE_							=			i
       SCREAMING_SNAKE_CASE_							=			CharacterTokenizer(vocab=_lowerCAmelCase				,				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       lowerCAmelCase_  (							self  :		Tuple						):
       SCREAMING_SNAKE_CASE_							=			self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese-char'						)

       SCREAMING_SNAKE_CASE_							=			tokenizer.encode('ありがとう。'				,				add_special_tokens=_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			tokenizer.encode('どういたしまして。'				,				add_special_tokens=_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_							=			tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_							=			tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase				,				_lowerCAmelCase						)

       # 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        lowerCamelCase_							(      unittest.TestCase					):


 '''simple docstring'''







 def       lowerCAmelCase_  (							self  :		str						):
       SCREAMING_SNAKE_CASE_							=			'cl-tohoku/bert-base-japanese'
       SCREAMING_SNAKE_CASE_							=			AutoTokenizer.from_pretrained(_lowerCAmelCase						)
       self.assertIsInstance(_lowerCAmelCase				,				_lowerCAmelCase						)





class        lowerCamelCase_							(      unittest.TestCase					):


 '''simple docstring'''







 def       lowerCAmelCase_  (							self  :		Optional[Any]						):
       SCREAMING_SNAKE_CASE_							=			'cl-tohoku/bert-base-japanese'
       with self.assertLogs('transformers'				,				level='WARNING'						) as cm:
             BertTokenizer.from_pretrained(_lowerCAmelCase						)
             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.'						)						)
       SCREAMING_SNAKE_CASE_							=			'bert-base-cased'
       with self.assertLogs('transformers'				,				level='WARNING'						) as cm:
             BertJapaneseTokenizer.from_pretrained(_lowerCAmelCase						)
             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.'						)						)





from __future__ import annotations

from math import gcd

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	int			,			__UpperCAmelCase						:	int = 2			,			__UpperCAmelCase						:	int = 1			,			__UpperCAmelCase						:	int = 3			,			)					-> int | None:
      # A value less than 2 can cause an infinite loop in the algorithm.
      if num < 2:
            raise ValueError('The input value cannot be less than 2'							)

      # Because of the relationship between ``f(f(x))`` and ``f(x)``, this
      # algorithm struggles to find factors that are divisible by two.
      # As a workaround, we specifically check for two and even inputs.
      #   See: https://math.stackexchange.com/a/2856214/165820
      if num > 2 and num % 2 == 0:
            return 2

      # Pollard's Rho algorithm requires a function that returns pseudorandom
      # values between 0 <= X < ``num``.  It doesn't need to be random in the
      # sense that the output value is cryptographically secure or difficult
      # to calculate, it only needs to be random in the sense that all output
      # values should be equally likely to appear.
      # For this reason, Pollard suggested using ``f(x) = (x**2 - 1) % num``
      # However, the success of Pollard's algorithm isn't guaranteed and is
      # determined in part by the initial seed and the chosen random function.
      # To make retries easier, we will instead use ``f(x) = (x**2 + C) % num``
      # where ``C`` is a value that we can modify between each attempt.
      def rand_fn(__UpperCAmelCase						:	int			,			__UpperCAmelCase						:	int			,			__UpperCAmelCase						:	int							) -> int:
            return (pow(__UpperCAmelCase			,			2							) + step) % modulus

      for _ in range(__UpperCAmelCase							):
            # These track the position within the cycle detection logic.
            SCREAMING_SNAKE_CASE_							=			seed
            SCREAMING_SNAKE_CASE_							=			seed

            while True:
                  # At each iteration, the tortoise moves one step and the hare moves two.
                  SCREAMING_SNAKE_CASE_							=			rand_fn(__UpperCAmelCase			,			__UpperCAmelCase			,			__UpperCAmelCase							)
                  SCREAMING_SNAKE_CASE_							=			rand_fn(__UpperCAmelCase			,			__UpperCAmelCase			,			__UpperCAmelCase							)
                  SCREAMING_SNAKE_CASE_							=			rand_fn(__UpperCAmelCase			,			__UpperCAmelCase			,			__UpperCAmelCase							)

                  # At some point both the tortoise and the hare will enter a cycle whose
                  # length ``p`` is a divisor of ``num``.  Once in that cycle, at some point
                  # the tortoise and hare will end up on the same value modulo ``p``.
                  # We can detect when this happens because the position difference between
                  # the tortoise and the hare will share a common divisor with ``num``.
                  SCREAMING_SNAKE_CASE_							=			gcd(hare - tortoise			,			__UpperCAmelCase							)

                  if divisor == 1:
                        # No common divisor yet, just keep searching.
                        continue
                  else:
                        # We found a common divisor!
                        if divisor == num:
                              # Unfortunately, the divisor is ``num`` itself and is useless.
                              break
                        else:
                              # The divisor is a nontrivial factor of ``num``!
                              return divisor

        # If we made it here, then this attempt failed.
        # We need to pick a new starting seed for the tortoise and hare
        # in addition to a new step value for the random function.
        # To keep this example implementation deterministic, the
        # new values will be generated based on currently available
        # values instead of using something like ``random.randint``.

        # We can use the hare's position as the new seed.
        # This is actually what Richard Brent's the "optimized" variant does.
            SCREAMING_SNAKE_CASE_							=			hare

            # The new step value for the random function can just be incremented.
            # At first the results will be similar to what the old function would
            # have produced, but the value will quickly diverge after a bit.
            step += 1

      # We haven't found a divisor within the requested number of attempts.
      # We were unlucky or ``num`` itself is actually prime.
      return None


if __name__ == "__main__":
   import argparse

   lowerCamelCase__ :   List[str]					=							argparse.ArgumentParser()
   parser.add_argument(
       'num',
       type=int,
       help='The value to find a divisor of',
   )
   parser.add_argument(
       '--attempts',
       type=int,
       default=3,
       help='The number of attempts before giving up',
   )
   lowerCamelCase__ :   Tuple					=							parser.parse_args()

   lowerCamelCase__ :   Any					=							pollard_rho(args.num, attempts=args.attempts)
   if divisor is None:
      print(f'''{args.num} is probably prime''')
   else:
      lowerCamelCase__ :   Tuple					=							args.num // divisor
      print(f'''{args.num} = {divisor} * {quotient}''')