





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							(					__UpperCamelCase,  unittest.TestCase			):
 UpperCAmelCase__													=		BertJapaneseTokenizer
 UpperCAmelCase__													=		False
 UpperCAmelCase__													=		True
 def      A_	(      self  :      Optional[int]	)			->	Dict:
     super().setUp()

     lowerCamelCase__    :      str					 =		[
         '[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',
         '、',
         '##、',
         '。',
         '##。',
     ]

     lowerCamelCase__    :      str					 =		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      A_	(      self  :      Tuple			,     UpperCAmelCase  :      Dict	)			->	Optional[int]:
     lowerCamelCase__    :      Tuple					 =		'こんにちは、世界。 \nこんばんは、世界。'
     lowerCamelCase__    :      Union[str, Any]					 =		'こんにちは 、 世界 。 こんばんは 、 世界 。'
     return input_text, output_text
 def      A_	(      self  :      List[str]			,     UpperCAmelCase  :      List[Any]	)			->	str:
     lowerCamelCase__ ,							lowerCamelCase__    :      str					 =		self.get_input_output_texts(UpperCAmelCase	)
     lowerCamelCase__    :      int					 =		tokenizer.encode(UpperCAmelCase			,     add_special_tokens=UpperCAmelCase	)
     lowerCamelCase__    :      Union[str, Any]					 =		tokenizer.decode(UpperCAmelCase			,     clean_up_tokenization_spaces=UpperCAmelCase	)
     return text, ids
 def      A_	(      self  :      Dict	)			->	List[str]:
     pass  # TODO add if relevant
 def      A_	(      self  :      List[Any]	)			->	Dict:
     pass  # TODO add if relevant
 def      A_	(      self  :      Any	)			->	Dict:
     pass  # TODO add if relevant
 def      A_	(      self  :      Any	)			->	Optional[int]:
     lowerCamelCase__    :      Optional[Any]					 =		self.tokenizer_class(self.vocab_file	)

     lowerCamelCase__    :      str					 =		tokenizer.tokenize('こんにちは、世界。\nこんばんは、世界。'	)
     self.assertListEqual(UpperCAmelCase			,     ['こんにちは', '、', '世界', '。', 'こん', '##ばんは', '、', '世界', '。']	)
     self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase	)			,     [3, 12, 10, 14, 4, 9, 12, 10, 14]	)
 def      A_	(      self  :      Any	)			->	Tuple:
     lowerCamelCase__    :      Optional[int]					 =		self.tokenizer_class(self.vocab_file			,     word_tokenizer_type='mecab'	)
     self.assertIsNotNone(UpperCAmelCase	)

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

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

     with open(UpperCAmelCase			,     'rb'	) as handle:
         lowerCamelCase__    :      Tuple					 =		pickle.load(UpperCAmelCase	)

     lowerCamelCase__    :      List[str]					 =		tokenizer_new.tokenize(UpperCAmelCase	)

     self.assertListEqual(UpperCAmelCase			,     UpperCAmelCase	)
 def      A_	(      self  :      List[Any]	)			->	List[Any]:
     lowerCamelCase__    :      Union[str, Any]					 =		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      A_	(      self  :      Union[str, Any]	)			->	Any:
     try:
         lowerCamelCase__    :      Optional[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      A_	(      self  :      int	)			->	Union[str, Any]:
     try:
         lowerCamelCase__    :      Optional[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      A_	(      self  :      str	)			->	Optional[int]:
     lowerCamelCase__    :      Union[str, Any]					 =		MecabTokenizer(do_lower_case=UpperCAmelCase			,     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      A_	(      self  :      int	)			->	List[str]:
     try:
         lowerCamelCase__    :      Optional[int]					 =		MecabTokenizer(
             do_lower_case=UpperCAmelCase			,     normalize_text=UpperCAmelCase			,     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      A_	(      self  :      Dict	)			->	Tuple:
     lowerCamelCase__    :      Any					 =		MecabTokenizer(normalize_text=UpperCAmelCase			,     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      A_	(      self  :      List[Any]	)			->	Optional[Any]:
     lowerCamelCase__    :      Dict					 =		self.tokenizer_class(self.vocab_file			,     word_tokenizer_type='sudachi'	)
     self.assertIsNotNone(UpperCAmelCase	)

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

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

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

     lowerCamelCase__    :      Optional[int]					 =		tokenizer_new.tokenize(UpperCAmelCase	)

     self.assertListEqual(UpperCAmelCase			,     UpperCAmelCase	)
 @require_sudachi
 def      A_	(      self  :      Dict	)			->	int:
     lowerCamelCase__    :      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      A_	(      self  :      Dict	)			->	Optional[Any]:
     lowerCamelCase__    :      Optional[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      A_	(      self  :      Any	)			->	int:
     lowerCamelCase__    :      Union[str, Any]					 =		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      A_	(      self  :      Any	)			->	Union[str, Any]:
     lowerCamelCase__    :      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      A_	(      self  :      str	)			->	Optional[int]:
     lowerCamelCase__    :      List[str]					 =		SudachiTokenizer(do_lower_case=UpperCAmelCase			,     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      A_	(      self  :      Union[str, Any]	)			->	Tuple:
     lowerCamelCase__    :      int					 =		SudachiTokenizer(normalize_text=UpperCAmelCase			,     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      A_	(      self  :      List[Any]	)			->	Tuple:
     lowerCamelCase__    :      Union[str, Any]					 =		SudachiTokenizer(trim_whitespace=UpperCAmelCase			,     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      A_	(      self  :      str	)			->	List[str]:
     lowerCamelCase__    :      Union[str, Any]					 =		self.tokenizer_class(self.vocab_file			,     word_tokenizer_type='jumanpp'	)
     self.assertIsNotNone(UpperCAmelCase	)

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

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

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

     lowerCamelCase__    :      Optional[Any]					 =		tokenizer_new.tokenize(UpperCAmelCase	)

     self.assertListEqual(UpperCAmelCase			,     UpperCAmelCase	)
 @require_jumanpp
 def      A_	(      self  :      Tuple	)			->	Tuple:
     lowerCamelCase__    :      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      A_	(      self  :      str	)			->	Optional[Any]:
     lowerCamelCase__    :      List[str]					 =		JumanppTokenizer(do_lower_case=UpperCAmelCase	)

     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      A_	(      self  :      Tuple	)			->	List[str]:
     lowerCamelCase__    :      int					 =		JumanppTokenizer(normalize_text=UpperCAmelCase	)

     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      A_	(      self  :      str	)			->	Dict:
     lowerCamelCase__    :      Optional[Any]					 =		JumanppTokenizer(trim_whitespace=UpperCAmelCase	)

     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      A_	(      self  :      Any	)			->	Any:
     lowerCamelCase__    :      Union[str, Any]					 =		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      A_	(      self  :      List[Any]	)			->	int:
     lowerCamelCase__    :      Optional[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']

     lowerCamelCase__    :      int					 =		{}
     for i, token in enumerate(UpperCAmelCase	):
         lowerCamelCase__    :      List[Any]					 =		i
     lowerCamelCase__    :      int					 =		WordpieceTokenizer(vocab=UpperCAmelCase			,     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      A_	(      self  :      Tuple	)			->	str:
     lowerCamelCase__    :      int					 =		BertJapaneseTokenizer.from_pretrained('nlp-waseda/roberta-base-japanese-with-auto-jumanpp'	)
     lowerCamelCase__    :      List[str]					 =		tokenizer.subword_tokenizer

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

     lowerCamelCase__    :      Optional[int]					 =		subword_tokenizer.tokenize('こんばんは こんばん にち は こんにちは'	)
     self.assertListEqual(UpperCAmelCase			,     ['▁こん', 'ばん', 'は', '▁こん', 'ばん', '▁に', 'ち', '▁は', '▁こんにちは']	)







 def      A_	(      self  :      Dict	)			->	List[Any]:
     lowerCamelCase__    :      Union[str, Any]					 =		self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese'	)

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

     lowerCamelCase__    :      Optional[int]					 =		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase	)
     lowerCamelCase__    :      List[str]					 =		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase			,     UpperCAmelCase	)

     # 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							(					__UpperCamelCase,  unittest.TestCase			):
 UpperCAmelCase__													=		BertJapaneseTokenizer
 UpperCAmelCase__													=		False
 def      A_	(      self  :      Dict	)			->	Any:
     super().setUp()

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

     lowerCamelCase__    :      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      A_	(      self  :      List[Any]			,     **UpperCAmelCase  :      str	)			->	List[str]:
     return BertJapaneseTokenizer.from_pretrained(self.tmpdirname			,     subword_tokenizer_type='character'			,     **UpperCAmelCase	)
 def      A_	(      self  :      List[str]			,     UpperCAmelCase  :      Union[str, Any]	)			->	List[Any]:
     lowerCamelCase__    :      str					 =		'こんにちは、世界。 \nこんばんは、世界。'
     lowerCamelCase__    :      List[str]					 =		'こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。'
     return input_text, output_text
 def      A_	(      self  :      Optional[Any]	)			->	List[Any]:
     pass  # TODO add if relevant
 def      A_	(      self  :      Tuple	)			->	Union[str, Any]:
     pass  # TODO add if relevant
 def      A_	(      self  :      Optional[Any]	)			->	Optional[int]:
     pass  # TODO add if relevant
 def      A_	(      self  :      Tuple	)			->	Tuple:
     lowerCamelCase__    :      Optional[int]					 =		self.tokenizer_class(self.vocab_file			,     subword_tokenizer_type='character'	)

     lowerCamelCase__    :      List[str]					 =		tokenizer.tokenize('こんにちは、世界。 \nこんばんは、世界。'	)
     self.assertListEqual(
         UpperCAmelCase			,     ['こ', 'ん', 'に', 'ち', 'は', '、', '世', '界', '。', 'こ', 'ん', 'ば', 'ん', 'は', '、', '世', '界', '。']	)
     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(UpperCAmelCase	)			,     [3, 4, 5, 6, 7, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12]	)
 def      A_	(      self  :      Dict	)			->	Any:
     lowerCamelCase__    :      Any					 =		['[UNK]', '[CLS]', '[SEP]', 'こ', 'ん', 'に', 'ち', 'は', 'ば', '世', '界', '、', '。']

     lowerCamelCase__    :      Optional[int]					 =		{}
     for i, token in enumerate(UpperCAmelCase	):
         lowerCamelCase__    :      Union[str, Any]					 =		i
     lowerCamelCase__    :      Optional[int]					 =		CharacterTokenizer(vocab=UpperCAmelCase			,     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      A_	(      self  :      Any	)			->	str:
     lowerCamelCase__    :      Dict					 =		self.tokenizer_class.from_pretrained('cl-tohoku/bert-base-japanese-char'	)

     lowerCamelCase__    :      List[Any]					 =		tokenizer.encode('ありがとう。'			,     add_special_tokens=UpperCAmelCase	)
     lowerCamelCase__    :      Union[str, Any]					 =		tokenizer.encode('どういたしまして。'			,     add_special_tokens=UpperCAmelCase	)

     lowerCamelCase__    :      Tuple					 =		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase	)
     lowerCamelCase__    :      Optional[int]					 =		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase			,     UpperCAmelCase	)

     # 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      A_	(      self  :      List[str]	)			->	Dict:
     lowerCamelCase__    :      Union[str, Any]					 =		'cl-tohoku/bert-base-japanese'
     lowerCamelCase__    :      int					 =		AutoTokenizer.from_pretrained(UpperCAmelCase	)
     self.assertIsInstance(UpperCAmelCase			,     UpperCAmelCase	)


class    lowerCAmelCase							(					unittest.TestCase			):
 def      A_	(      self  :      Tuple	)			->	Optional[int]:
     lowerCamelCase__    :      Union[str, Any]					 =		'cl-tohoku/bert-base-japanese'
     with self.assertLogs('transformers'			,     level='WARNING'	) as cm:
         BertTokenizer.from_pretrained(UpperCAmelCase	)
         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.'	)	)
     lowerCamelCase__    :      Optional[Any]					 =		'bert-base-cased'
     with self.assertLogs('transformers'			,     level='WARNING'	) as cm:
         BertJapaneseTokenizer.from_pretrained(UpperCAmelCase	)
         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.'	)	)






'''simple docstring'''




import json
import os
import shutil
import tempfile
import unittest

import numpy as np
import pytest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import IMAGE_PROCESSOR_NAME, is_torch_available, is_vision_available


if is_torch_available():
						import torch


if is_vision_available():
						from PIL import Image

						from transformers import MgpstrProcessor, ViTImageProcessor






@require_torch
@require_vision
class 				a__(					unittest.TestCase	):


			'''simple docstring'''






			UpperCAmelCase_			:     Dict      =       ViTImageProcessor if is_vision_available() else None



			@property
			def 							a_       (   self):




					"""simple docstring"""


					return self.image_processor_tester.prepare_image_processor_dict()



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  (3, 32, 128)
					lowerCAmelCase   					=  tempfile.mkdtemp()

					# fmt: off
					lowerCAmelCase   					=  ["""[GO]""", """[s]""", """0""", """1""", """2""", """3""", """4""", """5""", """6""", """7""", """8""", """9""", """a""", """b""", """c""", """d""", """e""", """f""", """g""", """h""", """i""", """j""", """k""", """l""", """m""", """n""", """o""", """p""", """q""", """r""", """s""", """t""", """u""", """v""", """w""", """x""", """y""", """z"""]
					# fmt: on
					lowerCAmelCase   					=  dict(zip(__lowerCAmelCase       ,    range(len(__lowerCAmelCase))))

					lowerCAmelCase   					=  os.path.join(self.tmpdirname       ,    VOCAB_FILES_NAMES["""vocab_file"""])
					with open(self.vocab_file       ,    """w"""       ,    encoding="""utf-8""") as fp:
							fp.write(json.dumps(__lowerCAmelCase) + """\n""")

					lowerCAmelCase   					=  {
					    """do_normalize""": False,
					    """do_resize""": True,
					    """image_processor_type""": """ViTImageProcessor""",
					    """resample""": 3,
					    """size""": {"""height""": 32, """width""": 128},
					}
					lowerCAmelCase   					=  os.path.join(self.tmpdirname       ,    __lowerCAmelCase)
					with open(self.image_processor_file       ,    """w"""       ,    encoding="""utf-8""") as fp:
							json.dump(__lowerCAmelCase       ,    __lowerCAmelCase)



			def 							a_       (   self       ,    **__lowerCAmelCase):




					"""simple docstring"""


					return MgpstrTokenizer.from_pretrained(self.tmpdirname       ,    **__lowerCAmelCase)



			def 							a_       (   self       ,    **__lowerCAmelCase):




					"""simple docstring"""


					return ViTImageProcessor.from_pretrained(self.tmpdirname       ,    **__lowerCAmelCase)



			def 							a_       (   self):




					"""simple docstring"""


					shutil.rmtree(self.tmpdirname)



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  np.random.randint(255       ,    size=(3, 30, 400)       ,    dtype=np.uinta)

					lowerCAmelCase   					=  Image.fromarray(np.moveaxis(__lowerCAmelCase       ,    0       ,    -1))

					return image_input



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_tokenizer()
					lowerCAmelCase   					=  self.get_image_processor()

					lowerCAmelCase   					=  MgpstrProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)
					processor.save_pretrained(self.tmpdirname)
					lowerCAmelCase   					=  MgpstrProcessor.from_pretrained(self.tmpdirname       ,    use_fast=__lowerCAmelCase)

					self.assertEqual(processor.char_tokenizer.get_vocab()       ,    tokenizer.get_vocab())
					self.assertIsInstance(processor.char_tokenizer       ,    __lowerCAmelCase)

					self.assertEqual(processor.image_processor.to_json_string()       ,    image_processor.to_json_string())
					self.assertIsInstance(processor.image_processor       ,    __lowerCAmelCase)



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_tokenizer()
					lowerCAmelCase   					=  self.get_image_processor()

					lowerCAmelCase   					=  MgpstrProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)
					processor.save_pretrained(self.tmpdirname)

					lowerCAmelCase   					=  self.get_tokenizer(bos_token="""(BOS)"""       ,    eos_token="""(EOS)""")
					lowerCAmelCase   					=  self.get_image_processor(do_normalize=__lowerCAmelCase       ,    padding_value=1.0)

					lowerCAmelCase   					=  MgpstrProcessor.from_pretrained(
					    self.tmpdirname       ,    bos_token="""(BOS)"""       ,    eos_token="""(EOS)"""       ,    do_normalize=__lowerCAmelCase       ,    padding_value=1.0)

					self.assertEqual(processor.char_tokenizer.get_vocab()       ,    tokenizer_add_kwargs.get_vocab())
					self.assertIsInstance(processor.char_tokenizer       ,    __lowerCAmelCase)

					self.assertEqual(processor.image_processor.to_json_string()       ,    image_processor_add_kwargs.to_json_string())
					self.assertIsInstance(processor.image_processor       ,    __lowerCAmelCase)



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  MgpstrProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

					lowerCAmelCase   					=  self.prepare_image_inputs()

					lowerCAmelCase   					=  image_processor(__lowerCAmelCase       ,    return_tensors="""np""")
					lowerCAmelCase   					=  processor(images=__lowerCAmelCase       ,    return_tensors="""np""")

					for key in input_image_proc.keys():
							self.assertAlmostEqual(input_image_proc[key].sum()       ,    input_processor[key].sum()       ,    delta=1E-2)



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  MgpstrProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

					lowerCAmelCase   					=  """test"""

					lowerCAmelCase   					=  processor(text=__lowerCAmelCase)

					lowerCAmelCase   					=  tokenizer(__lowerCAmelCase)
					for key in encoded_tok.keys():
							self.assertListEqual(encoded_tok[key]       ,    encoded_processor[key])



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  MgpstrProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

					lowerCAmelCase   					=  """test"""
					lowerCAmelCase   					=  self.prepare_image_inputs()

					lowerCAmelCase   					=  processor(text=__lowerCAmelCase       ,    images=__lowerCAmelCase)

					self.assertListEqual(list(inputs.keys())       ,    ["""pixel_values""", """labels"""])

					# test if it raises when no input is passed
					with pytest.raises(__lowerCAmelCase):
							processor()



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  MgpstrProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

					lowerCAmelCase   					=  [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9], [3, 4, 3, 1, 1, 8, 9]]

					lowerCAmelCase   					=  processor.char_decode(__lowerCAmelCase)
					lowerCAmelCase   					=  tokenizer.batch_decode(__lowerCAmelCase)
					lowerCAmelCase   					=  [seq.replace(""" """       ,    """""") for seq in decoded_tok]

					self.assertListEqual(__lowerCAmelCase       ,    __lowerCAmelCase)



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  MgpstrProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

					lowerCAmelCase   					=  None
					lowerCAmelCase   					=  self.prepare_image_inputs()

					lowerCAmelCase   					=  processor(text=__lowerCAmelCase       ,    images=__lowerCAmelCase)

					self.assertListEqual(list(inputs.keys())       ,    processor.model_input_names)







			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  self.get_image_processor()
					lowerCAmelCase   					=  self.get_tokenizer()

					lowerCAmelCase   					=  MgpstrProcessor(tokenizer=__lowerCAmelCase       ,    image_processor=__lowerCAmelCase)

					lowerCAmelCase   					=  torch.randn(1       ,    27       ,    38)
					lowerCAmelCase   					=  torch.randn(1       ,    27       ,    50257)
					lowerCAmelCase   					=  torch.randn(1       ,    27       ,    30522)

					lowerCAmelCase   					=  processor.batch_decode([char_input, bpe_input, wp_input])

					self.assertListEqual(list(results.keys())       ,    ["""generated_text""", """scores""", """char_preds""", """bpe_preds""", """wp_preds"""])




