


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(		_a,				unittest.TestCase     ):
       lowercase_				:			int									=    BertJapaneseTokenizer
       lowercase_				:			Optional[int]									=    False
       lowercase_				:			Optional[int]									=    True
       def     UpperCamelCase  (      self) ->     Dict:




           """simple docstring"""

           super().setUp()

           _lowercase :							Union[str, 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',
               '、',
               '##、',
               '。',
               '##。',
           ]

           _lowercase :							int   	=	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     UpperCamelCase  (      self,   lowerCamelCase) ->     Optional[int]:




           """simple docstring"""

           _lowercase :							Any   	=	'こんにちは、世界。 \nこんばんは、世界。'
           _lowercase :							Optional[Any]   	=	'こんにちは 、 世界 。 こんばんは 、 世界 。'
           return input_text, output_text
       def     UpperCamelCase  (      self,   lowerCamelCase) ->     Union[str, Any]:




           """simple docstring"""

           _lowercase	,       _lowercase :							List[str]   	=	self.get_input_output_texts(lowerCamelCase)
           _lowercase :							Optional[int]   	=	tokenizer.encode(lowerCamelCase,   add_special_tokens=lowerCamelCase)
           _lowercase :							Any   	=	tokenizer.decode(lowerCamelCase,   clean_up_tokenization_spaces=lowerCamelCase)
           return text, ids
       def     UpperCamelCase  (      self) ->     int:




           """simple docstring"""

           pass  # TODO add if relevant
       def     UpperCamelCase  (      self) ->     int:




           """simple docstring"""

           pass  # TODO add if relevant
       def     UpperCamelCase  (      self) ->     Optional[Any]:




           """simple docstring"""

           pass  # TODO add if relevant
       def     UpperCamelCase  (      self) ->     Tuple:




           """simple docstring"""

           _lowercase :							Optional[int]   	=	self.tokenizer_class(self.vocab_file)

           _lowercase :							Union[str, Any]   	=	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     UpperCamelCase  (      self) ->     Optional[int]:




           """simple docstring"""

           _lowercase :							Dict   	=	self.tokenizer_class(self.vocab_file,   word_tokenizer_type='mecab')
           self.assertIsNotNone(lowerCamelCase)

           _lowercase :							Any   	=	'こんにちは、世界。\nこんばんは、世界。'
           _lowercase :							Union[str, Any]   	=	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])

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

           with open(lowerCamelCase,   'rb') as handle:
               _lowercase :							str   	=	pickle.load(lowerCamelCase)

           _lowercase :							Dict   	=	tokenizer_new.tokenize(lowerCamelCase)

           self.assertListEqual(lowerCamelCase,   lowerCamelCase)
       def     UpperCamelCase  (      self) ->     Tuple:




           """simple docstring"""

           _lowercase :							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     UpperCamelCase  (      self) ->     str:




           """simple docstring"""

           try:
               _lowercase :							List[str]   	=	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     UpperCamelCase  (      self) ->     int:




           """simple docstring"""

           try:
               _lowercase :							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     UpperCamelCase  (      self) ->     str:




           """simple docstring"""

           _lowercase :							Optional[int]   	=	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     UpperCamelCase  (      self) ->     Tuple:




           """simple docstring"""

           try:
               _lowercase :							List[str]   	=	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     UpperCamelCase  (      self) ->     Optional[int]:




           """simple docstring"""

           _lowercase :							Optional[int]   	=	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     UpperCamelCase  (      self) ->     Dict:




           """simple docstring"""

           _lowercase :							Optional[Any]   	=	self.tokenizer_class(self.vocab_file,   word_tokenizer_type='sudachi')
           self.assertIsNotNone(lowerCamelCase)

           _lowercase :							Optional[Any]   	=	'こんにちは、世界。\nこんばんは、世界。'
           _lowercase :							Union[str, Any]   	=	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])

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

           with open(lowerCamelCase,   'rb') as handle:
               _lowercase :							Tuple   	=	pickle.load(lowerCamelCase)

           _lowercase :							str   	=	tokenizer_new.tokenize(lowerCamelCase)

           self.assertListEqual(lowerCamelCase,   lowerCamelCase)
       @require_sudachi
       def     UpperCamelCase  (      self) ->     Union[str, Any]:




           """simple docstring"""

           _lowercase :							List[str]   	=	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     UpperCamelCase  (      self) ->     str:




           """simple docstring"""

           _lowercase :							Any   	=	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     UpperCamelCase  (      self) ->     int:




           """simple docstring"""

           _lowercase :							Tuple   	=	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     UpperCamelCase  (      self) ->     Optional[Any]:




           """simple docstring"""

           _lowercase :							Tuple   	=	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     UpperCamelCase  (      self) ->     str:




           """simple docstring"""

           _lowercase :							Tuple   	=	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     UpperCamelCase  (      self) ->     Any:




           """simple docstring"""

           _lowercase :							int   	=	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     UpperCamelCase  (      self) ->     Union[str, Any]:




           """simple docstring"""

           _lowercase :							Optional[int]   	=	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     UpperCamelCase  (      self) ->     List[Any]:




           """simple docstring"""

           _lowercase :							Union[str, Any]   	=	self.tokenizer_class(self.vocab_file,   word_tokenizer_type='jumanpp')
           self.assertIsNotNone(lowerCamelCase)

           _lowercase :							Any   	=	'こんにちは、世界。\nこんばんは、世界。'
           _lowercase :							Tuple   	=	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])

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

           with open(lowerCamelCase,   'rb') as handle:
               _lowercase :							str   	=	pickle.load(lowerCamelCase)

           _lowercase :							List[str]   	=	tokenizer_new.tokenize(lowerCamelCase)

           self.assertListEqual(lowerCamelCase,   lowerCamelCase)
       @require_jumanpp
       def     UpperCamelCase  (      self) ->     str:




           """simple docstring"""

           _lowercase :							List[str]   	=	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     UpperCamelCase  (      self) ->     str:




           """simple docstring"""

           _lowercase :							Optional[Any]   	=	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     UpperCamelCase  (      self) ->     List[str]:




           """simple docstring"""

           _lowercase :							Union[str, Any]   	=	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     UpperCamelCase  (      self) ->     List[Any]:




           """simple docstring"""

           _lowercase :							Tuple   	=	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     UpperCamelCase  (      self) ->     List[Any]:




           """simple docstring"""

           _lowercase :							List[str]   	=	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     UpperCamelCase  (      self) ->     List[Any]:




           """simple docstring"""

           _lowercase :							Tuple   	=	['[UNK]', '[CLS]', '[SEP]', 'こんにちは', 'こん', 'にちは', 'ばんは', '##こん', '##にちは', '##ばんは']

           _lowercase :							Union[str, Any]   	=	{}
           for i, token in enumerate(lowerCamelCase):
               _lowercase :							str   	=	i
           _lowercase :							Any   	=	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     UpperCamelCase  (      self) ->     Tuple:




           """simple docstring"""

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

           _lowercase :							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(lowerCamelCase,   ['▁国境', '▁の', '▁長い', '▁トンネル', '▁を', '▁抜ける', '▁と', '▁雪', '国', '▁であった', '▁。'])

           _lowercase :							Tuple   	=	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     UpperCamelCase  (      self) ->     List[Any]:




           """simple docstring"""

           _lowercase :							Tuple   	=	self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese')

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

           _lowercase :							List[str]   	=	tokenizer.build_inputs_with_special_tokens(lowerCamelCase)
           _lowercase :							int   	=	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(		_a,				unittest.TestCase     ):
       lowercase_				:			Any									=    BertJapaneseTokenizer
       lowercase_				:			Any									=    False
       def     UpperCamelCase  (      self) ->     Dict:




           """simple docstring"""

           super().setUp()

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

           _lowercase :							Union[str, 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     UpperCamelCase  (      self,   **lowerCamelCase) ->     Union[str, Any]:




           """simple docstring"""

           return BertJapaneseTokenizer.from_pretrained(self.tmpdirname,   subword_tokenizer_type='character',   **lowerCamelCase)
       def     UpperCamelCase  (      self,   lowerCamelCase) ->     Optional[int]:




           """simple docstring"""

           _lowercase :							Tuple   	=	'こんにちは、世界。 \nこんばんは、世界。'
           _lowercase :							Tuple   	=	'こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。'
           return input_text, output_text
       def     UpperCamelCase  (      self) ->     Optional[Any]:




           """simple docstring"""

           pass  # TODO add if relevant
       def     UpperCamelCase  (      self) ->     List[Any]:




           """simple docstring"""

           pass  # TODO add if relevant
       def     UpperCamelCase  (      self) ->     Any:




           """simple docstring"""

           pass  # TODO add if relevant
       def     UpperCamelCase  (      self) ->     str:




           """simple docstring"""

           _lowercase :							Optional[Any]   	=	self.tokenizer_class(self.vocab_file,   subword_tokenizer_type='character')

           _lowercase :							str   	=	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     UpperCamelCase  (      self) ->     int:




           """simple docstring"""

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

           _lowercase :							Optional[int]   	=	{}
           for i, token in enumerate(lowerCamelCase):
               _lowercase :							Tuple   	=	i
           _lowercase :							str   	=	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     UpperCamelCase  (      self) ->     Optional[Any]:




           """simple docstring"""

           _lowercase :							Union[str, Any]   	=	self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese-char')

           _lowercase :							Optional[Any]   	=	tokenizer.encode('ありがとう。',   add_special_tokens=lowerCamelCase)
           _lowercase :							List[Any]   	=	tokenizer.encode('どういたしまして。',   add_special_tokens=lowerCamelCase)

           _lowercase :							Any   	=	tokenizer.build_inputs_with_special_tokens(lowerCamelCase)
           _lowercase :							Optional[int]   	=	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     ):
       def     UpperCamelCase  (      self) ->     Tuple:




           """simple docstring"""

           _lowercase :							Any   	=	'cl-tohoku/bert-base-japanese'
           _lowercase :							Optional[Any]   	=	AutoTokenizer.from_pretrained(lowerCamelCase)
           self.assertIsInstance(lowerCamelCase,   lowerCamelCase)






class _lowerCamelCase(		unittest.TestCase     ):
       def     UpperCamelCase  (      self) ->     Optional[int]:




           """simple docstring"""

           _lowercase :							Optional[int]   	=	'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.'))
           _lowercase :							Dict   	=	'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.'))






import pytest


SCREAMING_SNAKE_CASE :   Optional[Any]							      =				"__dummy_dataset1__"

SCREAMING_SNAKE_CASE :   int							      =				"\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = \"https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/\"\nURLS = {\"train\": REPO_URL + \"wikiann-bn-train.jsonl\", \"validation\": REPO_URL + \"wikiann-bn-validation.jsonl\"}\n\n\nclass __DummyDataset1__(datasets.GeneratorBasedBuilder):\n\n    def _info(self):\n        features = datasets.Features(\n            {\n                \"tokens\": datasets.Sequence(datasets.Value(\"string\")),\n                \"ner_tags\": datasets.Sequence(\n                    datasets.features.ClassLabel(\n                        names=[\n                            \"O\",\n                            \"B-PER\",\n                            \"I-PER\",\n                            \"B-ORG\",\n                            \"I-ORG\",\n                            \"B-LOC\",\n                            \"I-LOC\",\n                        ]\n                    )\n                ),\n                \"langs\": datasets.Sequence(datasets.Value(\"string\")),\n                \"spans\": datasets.Sequence(datasets.Value(\"string\")),\n            }\n        )\n        return datasets.DatasetInfo(features=features)\n\n    def _split_generators(self, dl_manager):\n        dl_path = dl_manager.download(URLS)\n        return [\n            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={\"filepath\": dl_path[\"train\"]}),\n            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={\"filepath\": dl_path[\"validation\"]}),\n        ]\n\n    def _generate_examples(self, filepath):\n        with open(filepath, \"r\", encoding=\"utf-8\") as f:\n            for i, line in enumerate(f):\n                yield i, json.loads(line)\n"



@pytest.fixture
def        UpperCamelCase_(   )					->		Dict:
    return DATASET_LOADING_SCRIPT_NAME



@pytest.fixture
def        UpperCamelCase_(   )					->		List[Any]:
    return DATASET_LOADING_SCRIPT_CODE



@pytest.fixture
def        UpperCamelCase_(   lowerCamelCase_							,				lowerCamelCase_							,				lowerCamelCase_				)					->		int:
    _lowercase :							List[str]   	=	dataset_loading_script_name
    _lowercase :							Union[str, Any]   	=	tmp_path / 'datasets' / script_name
    script_dir.mkdir(parents=lowerCamelCase_				)
    _lowercase :							Optional[int]   	=	script_dir / F'''{script_name}.py'''
    with open(lowerCamelCase_							,				'w'				) as f:
        f.write(lowerCamelCase_				)
    return str(lowerCamelCase_				)


