




from typing import Dict, List, Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
    center_crop,
    convert_to_rgb,
    get_resize_output_image_size,
    normalize,
    rescale,
    resize,
    to_channel_dimension_format,
)
from ...image_utils import (
    OPENAI_CLIP_MEAN,
    OPENAI_CLIP_STD,
    ChannelDimension,
    ImageInput,
    PILImageResampling,
    make_list_of_images,
    to_numpy_array,
    valid_images,
)
from ...utils import TensorType, is_vision_available, logging


UpperCAmelCase_						=logging.get_logger(__name__)


if is_vision_available():
		import PIL


class 							__UpperCamelCase			( __UpperCAmelCase  ):





				'''simple docstring'''



				__a							: List[str]										=["""pixel_values"""]



				def __init__( self       , UpperCAmelCase_ = True       , UpperCAmelCase_ = None       , UpperCAmelCase_ = PILImageResampling.BICUBIC       , UpperCAmelCase_ = True       , UpperCAmelCase_ = None       , UpperCAmelCase_ = True       , UpperCAmelCase_ = 1 / 2_55       , UpperCAmelCase_ = True       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = True       , **UpperCAmelCase_       , ):
											super().__init__(**UpperCAmelCase_						)
											lowerCAmelCase   =		size if size is not None else {'''shortest_edge''': 2_24}
											lowerCAmelCase   =		get_size_dict(UpperCAmelCase_       , default_to_square=UpperCAmelCase_						)
											lowerCAmelCase   =		crop_size if crop_size is not None else {'''height''': 2_24, '''width''': 2_24}
											lowerCAmelCase   =		get_size_dict(UpperCAmelCase_       , default_to_square=UpperCAmelCase_       , param_name='''crop_size'''						)

											lowerCAmelCase   =		do_resize
											lowerCAmelCase   =		size
											lowerCAmelCase   =		resample
											lowerCAmelCase   =		do_center_crop
											lowerCAmelCase   =		crop_size
											lowerCAmelCase   =		do_rescale
											lowerCAmelCase   =		rescale_factor
											lowerCAmelCase   =		do_normalize
											lowerCAmelCase   =		image_mean if image_mean is not None else OPENAI_CLIP_MEAN
											lowerCAmelCase   =		image_std if image_std is not None else OPENAI_CLIP_STD
											lowerCAmelCase   =		do_convert_rgb



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_ = PILImageResampling.BICUBIC       , UpperCAmelCase_ = None       , **UpperCAmelCase_       , ):
											lowerCAmelCase   =		get_size_dict(UpperCAmelCase_       , default_to_square=UpperCAmelCase_						)
											if "shortest_edge" not in size:
																		raise ValueError(F"""The `size` parameter must contain the key `shortest_edge`. Got {size.keys()}"""						)
											lowerCAmelCase   =		get_resize_output_image_size(UpperCAmelCase_       , size=size['''shortest_edge''']       , default_to_square=UpperCAmelCase_						)
											return resize(UpperCAmelCase_       , size=UpperCAmelCase_       , resample=UpperCAmelCase_       , data_format=UpperCAmelCase_       , **UpperCAmelCase_						)



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_ = None       , **UpperCAmelCase_       , ):
											lowerCAmelCase   =		get_size_dict(UpperCAmelCase_						)
											if "height" not in size or "width" not in size:
																		raise ValueError(F"""The `size` parameter must contain the keys (height, width). Got {size.keys()}"""						)
											return center_crop(UpperCAmelCase_       , size=(size['''height'''], size['''width'''])       , data_format=UpperCAmelCase_       , **UpperCAmelCase_						)



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_ = None       , **UpperCAmelCase_       , ):
											return rescale(UpperCAmelCase_       , scale=UpperCAmelCase_       , data_format=UpperCAmelCase_       , **UpperCAmelCase_						)



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_       , UpperCAmelCase_ = None       , **UpperCAmelCase_       , ):
											return normalize(UpperCAmelCase_       , mean=UpperCAmelCase_       , std=UpperCAmelCase_       , data_format=UpperCAmelCase_       , **UpperCAmelCase_						)






				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = None       , UpperCAmelCase_ = ChannelDimension.FIRST       , **UpperCAmelCase_       , ):
											lowerCAmelCase   =		do_resize if do_resize is not None else self.do_resize
											lowerCAmelCase   =		size if size is not None else self.size
											lowerCAmelCase   =		get_size_dict(UpperCAmelCase_       , param_name='''size'''       , default_to_square=UpperCAmelCase_						)
											lowerCAmelCase   =		resample if resample is not None else self.resample
											lowerCAmelCase   =		do_center_crop if do_center_crop is not None else self.do_center_crop
											lowerCAmelCase   =		crop_size if crop_size is not None else self.crop_size
											lowerCAmelCase   =		get_size_dict(UpperCAmelCase_       , param_name='''crop_size'''       , default_to_square=UpperCAmelCase_						)
											lowerCAmelCase   =		do_rescale if do_rescale is not None else self.do_rescale
											lowerCAmelCase   =		rescale_factor if rescale_factor is not None else self.rescale_factor
											lowerCAmelCase   =		do_normalize if do_normalize is not None else self.do_normalize
											lowerCAmelCase   =		image_mean if image_mean is not None else self.image_mean
											lowerCAmelCase   =		image_std if image_std is not None else self.image_std
											lowerCAmelCase   =		do_convert_rgb if do_convert_rgb is not None else self.do_convert_rgb

											lowerCAmelCase   =		make_list_of_images(UpperCAmelCase_						)

											if not valid_images(UpperCAmelCase_						):
																		raise ValueError(
																		    '''Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, '''
																		    '''torch.Tensor, tf.Tensor or jax.ndarray.'''						)

											if do_resize and size is None:
																		raise ValueError('''Size must be specified if do_resize is True.'''						)

											if do_center_crop and crop_size is None:
																		raise ValueError('''Crop size must be specified if do_center_crop is True.'''						)

											if do_rescale and rescale_factor is None:
																		raise ValueError('''Rescale factor must be specified if do_rescale is True.'''						)

											if do_normalize and (image_mean is None or image_std is None):
																		raise ValueError('''Image mean and std must be specified if do_normalize is True.'''						)

											# PIL RGBA images are converted to RGB
											if do_convert_rgb:
																		lowerCAmelCase   =		[convert_to_rgb(UpperCAmelCase_						) for image in images]

											# All transformations expect numpy arrays.
											lowerCAmelCase   =		[to_numpy_array(UpperCAmelCase_						) for image in images]

											if do_resize:
																		lowerCAmelCase   =		[self.resize(image=UpperCAmelCase_       , size=UpperCAmelCase_       , resample=UpperCAmelCase_						) for image in images]

											if do_center_crop:
																		lowerCAmelCase   =		[self.center_crop(image=UpperCAmelCase_       , size=UpperCAmelCase_						) for image in images]

											if do_rescale:
																		lowerCAmelCase   =		[self.rescale(image=UpperCAmelCase_       , scale=UpperCAmelCase_						) for image in images]

											if do_normalize:
																		lowerCAmelCase   =		[self.normalize(image=UpperCAmelCase_       , mean=UpperCAmelCase_       , std=UpperCAmelCase_						) for image in images]

											lowerCAmelCase   =		[to_channel_dimension_format(UpperCAmelCase_       , UpperCAmelCase_						) for image in images]

											lowerCAmelCase   =		{'''pixel_values''': images}
											return BatchFeature(data=UpperCAmelCase_       , tensor_type=UpperCAmelCase_						)









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 							__UpperCamelCase			( __UpperCAmelCase     ,					unittest.TestCase  ):





				'''simple docstring'''



				__a							: Any										=BertJapaneseTokenizer
				__a							: Optional[int]										=False
				__a							: int										=True



				def       __snake_case		( self						):
											super().setUp()

											lowerCAmelCase   =		[
											    '''[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   =		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       __snake_case		( self       , UpperCAmelCase_						):
											lowerCAmelCase   =		'''こんにちは、世界。 \nこんばんは、世界。'''
											lowerCAmelCase   =		'''こんにちは 、 世界 。 こんばんは 、 世界 。'''
											return input_text, output_text



				def       __snake_case		( self       , UpperCAmelCase_						):
											lowerCAmelCase   ,     lowerCAmelCase   =		self.get_input_output_texts(UpperCAmelCase_						)
											lowerCAmelCase   =		tokenizer.encode(UpperCAmelCase_       , add_special_tokens=UpperCAmelCase_						)
											lowerCAmelCase   =		tokenizer.decode(UpperCAmelCase_       , clean_up_tokenization_spaces=UpperCAmelCase_						)
											return text, ids



				def       __snake_case		( self						):
											pass  # TODO add if relevant



				def       __snake_case		( self						):
											pass  # TODO add if relevant



				def       __snake_case		( self						):
											pass  # TODO add if relevant



				def       __snake_case		( self						):
											lowerCAmelCase   =		self.tokenizer_class(self.vocab_file						)

											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		self.tokenizer_class(self.vocab_file       , word_tokenizer_type='''mecab'''						)
											self.assertIsNotNone(UpperCAmelCase_						)

											lowerCAmelCase   =		'''こんにちは、世界。\nこんばんは、世界。'''
											lowerCAmelCase   =		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   =		os.path.join(self.tmpdirname       , '''tokenizer.bin'''						)
											with open(UpperCAmelCase_       , '''wb'''						) as handle:
																		pickle.dump(UpperCAmelCase_       , UpperCAmelCase_						)

											with open(UpperCAmelCase_       , '''rb'''						) as handle:
																		lowerCAmelCase   =		pickle.load(UpperCAmelCase_						)

											lowerCAmelCase   =		tokenizer_new.tokenize(UpperCAmelCase_						)

											self.assertListEqual(UpperCAmelCase_       , UpperCAmelCase_						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											try:
																		lowerCAmelCase   =		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       __snake_case		( self						):
											try:
																		lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											try:
																		lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		self.tokenizer_class(self.vocab_file       , word_tokenizer_type='''sudachi'''						)
											self.assertIsNotNone(UpperCAmelCase_						)

											lowerCAmelCase   =		'''こんにちは、世界。\nこんばんは、世界。'''
											lowerCAmelCase   =		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   =		os.path.join(self.tmpdirname       , '''tokenizer.bin'''						)
											with open(UpperCAmelCase_       , '''wb'''						) as handle:
																		pickle.dump(UpperCAmelCase_       , UpperCAmelCase_						)

											with open(UpperCAmelCase_       , '''rb'''						) as handle:
																		lowerCAmelCase   =		pickle.load(UpperCAmelCase_						)

											lowerCAmelCase   =		tokenizer_new.tokenize(UpperCAmelCase_						)

											self.assertListEqual(UpperCAmelCase_       , UpperCAmelCase_						)



				@require_sudachi
				def       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		self.tokenizer_class(self.vocab_file       , word_tokenizer_type='''jumanpp'''						)
											self.assertIsNotNone(UpperCAmelCase_						)

											lowerCAmelCase   =		'''こんにちは、世界。\nこんばんは、世界。'''
											lowerCAmelCase   =		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   =		os.path.join(self.tmpdirname       , '''tokenizer.bin'''						)
											with open(UpperCAmelCase_       , '''wb'''						) as handle:
																		pickle.dump(UpperCAmelCase_       , UpperCAmelCase_						)

											with open(UpperCAmelCase_       , '''rb'''						) as handle:
																		lowerCAmelCase   =		pickle.load(UpperCAmelCase_						)

											lowerCAmelCase   =		tokenizer_new.tokenize(UpperCAmelCase_						)

											self.assertListEqual(UpperCAmelCase_       , UpperCAmelCase_						)



				@require_jumanpp
				def       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		['''[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   =		{}
											for i, token in enumerate(UpperCAmelCase_						):
																		lowerCAmelCase   =		i
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		BertJapaneseTokenizer.from_pretrained('''nlp-waseda/roberta-base-japanese-with-auto-jumanpp'''						)
											lowerCAmelCase   =		tokenizer.subword_tokenizer

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

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

											lowerCAmelCase   =		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_						)
											lowerCAmelCase   =		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 							__UpperCamelCase			( __UpperCAmelCase     ,					unittest.TestCase  ):





				'''simple docstring'''



				__a							: Union[str, Any]										=BertJapaneseTokenizer
				__a							: Optional[int]										=False



				def       __snake_case		( self						):
											super().setUp()

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

											lowerCAmelCase   =		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       __snake_case		( self       , **UpperCAmelCase_						):
											return BertJapaneseTokenizer.from_pretrained(self.tmpdirname       , subword_tokenizer_type='''character'''       , **UpperCAmelCase_						)



				def       __snake_case		( self       , UpperCAmelCase_						):
											lowerCAmelCase   =		'''こんにちは、世界。 \nこんばんは、世界。'''
											lowerCAmelCase   =		'''こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。'''
											return input_text, output_text



				def       __snake_case		( self						):
											pass  # TODO add if relevant



				def       __snake_case		( self						):
											pass  # TODO add if relevant



				def       __snake_case		( self						):
											pass  # TODO add if relevant



				def       __snake_case		( self						):
											lowerCAmelCase   =		self.tokenizer_class(self.vocab_file       , subword_tokenizer_type='''character'''						)

											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		['''[UNK]''', '''[CLS]''', '''[SEP]''', '''こ''', '''ん''', '''に''', '''ち''', '''は''', '''ば''', '''世''', '''界''', '''、''', '''。''']

											lowerCAmelCase   =		{}
											for i, token in enumerate(UpperCAmelCase_						):
																		lowerCAmelCase   =		i
											lowerCAmelCase   =		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       __snake_case		( self						):
											lowerCAmelCase   =		self.tokenizer_class.from_pretrained('''cl-tohoku/bert-base-japanese-char'''						)

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

											lowerCAmelCase   =		tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_						)
											lowerCAmelCase   =		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 							__UpperCamelCase			( unittest.TestCase  ):





				'''simple docstring'''



				def       __snake_case		( self						):
											lowerCAmelCase   =		'''cl-tohoku/bert-base-japanese'''
											lowerCAmelCase   =		AutoTokenizer.from_pretrained(UpperCAmelCase_						)
											self.assertIsInstance(UpperCAmelCase_       , UpperCAmelCase_						)




class 							__UpperCamelCase			( unittest.TestCase  ):





				'''simple docstring'''



				def       __snake_case		( self						):
											lowerCAmelCase   =		'''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   =		'''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.'''						)						)



