


"""simple docstring"""



import os
import pickle
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin







@custom_tokenizers
class _lowerCAmelCase				(      _snake_case    ,							unittest.TestCase	):
   __UpperCAmelCase :       str							  =  BertJapaneseTokenizer
   __UpperCAmelCase :       Dict							  =  False
   __UpperCAmelCase :       int							  =  True







   def  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       super().setUp()

       snake_case    :      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',
           '、',
           '##、',
           '。',
           '##。',
       ]

       snake_case    :      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  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		Dict:

       '''simple docstring'''




       snake_case    :      List[Any]      					=    'こんにちは、世界。 \nこんばんは、世界。'
       snake_case    :      List[Any]      					=    'こんにちは 、 世界 。 こんばんは 、 世界 。'
       return input_text, output_text







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		Union[str, Any]:

       '''simple docstring'''




       snake_case    :      int      					=    self.get_input_output_texts(_UpperCamelCase						)
       snake_case    :      int      					=    tokenizer.encode(_UpperCamelCase						,	add_special_tokens=_UpperCamelCase						)
       snake_case    :      Tuple      					=    tokenizer.decode(_UpperCamelCase						,	clean_up_tokenization_spaces=_UpperCamelCase						)
       return text, ids







   def  lowerCamelCase		(	self						)	->		Dict:

       '''simple docstring'''




       pass  # TODO add if relevant







   def  lowerCamelCase		(	self						)	->		Optional[Any]:

       '''simple docstring'''




       pass  # TODO add if relevant







   def  lowerCamelCase		(	self						)	->		Optional[Any]:

       '''simple docstring'''




       pass  # TODO add if relevant







   def  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       snake_case    :      Any      					=    self.tokenizer_class(self.vocab_file						)

       snake_case    :      Dict      					=    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  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      Tuple      					=    self.tokenizer_class(self.vocab_file						,	word_tokenizer_type="mecab"						)
       self.assertIsNotNone(_UpperCamelCase						)

       snake_case    :      List[str]      					=    'こんにちは、世界。\nこんばんは、世界。'
       snake_case    :      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]						)

       snake_case    :      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:
           snake_case    :      str      					=    pickle.load(_UpperCamelCase						)

       snake_case    :      Union[str, Any]      					=    tokenizer_new.tokenize(_UpperCamelCase						)

       self.assertListEqual(_UpperCamelCase						,	_UpperCamelCase						)







   def  lowerCamelCase		(	self						)	->		List[Any]:

       '''simple docstring'''




       snake_case    :      Optional[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  lowerCamelCase		(	self						)	->		Union[str, Any]:

       '''simple docstring'''




       try:
           snake_case    :      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  lowerCamelCase		(	self						)	->		Optional[Any]:

       '''simple docstring'''




       try:
           snake_case    :      Optional[int]      					=    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						)	->		Dict:

       '''simple docstring'''




       snake_case    :      Dict      					=    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  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       try:
           snake_case    :      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  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      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  lowerCamelCase		(	self						)	->		Optional[int]:

       '''simple docstring'''




       snake_case    :      Dict      					=    self.tokenizer_class(self.vocab_file						,	word_tokenizer_type="sudachi"						)
       self.assertIsNotNone(_UpperCamelCase						)

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

       snake_case    :      Dict      					=    os.path.join(self.tmpdirname						,	"tokenizer.bin"						)
       with open(_UpperCamelCase						,	"wb"						) as handle:
           pickle.dump(_UpperCamelCase						,	_UpperCamelCase						)

       with open(_UpperCamelCase						,	"rb"						) as handle:
           snake_case    :      Tuple      					=    pickle.load(_UpperCamelCase						)

       snake_case    :      Optional[int]      					=    tokenizer_new.tokenize(_UpperCamelCase						)

       self.assertListEqual(_UpperCamelCase						,	_UpperCamelCase						)







   @require_sudachi
   def  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       snake_case    :      Tuple      					=    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						)	->		List[str]:

       '''simple docstring'''




       snake_case    :      Union[str, 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  lowerCamelCase		(	self						)	->		List[Any]:

       '''simple docstring'''




       snake_case    :      Optional[int]      					=    SudachiTokenizer(sudachi_dict_type="core"						,	sudachi_split_mode="B"						)

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







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

       '''simple docstring'''




       snake_case    :      List[Any]      					=    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						)	->		Any:

       '''simple docstring'''




       snake_case    :      Tuple      					=    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  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      List[str]      					=    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  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       snake_case    :      List[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  lowerCamelCase		(	self						)	->		Any:

       '''simple docstring'''




       snake_case    :      Dict      					=    self.tokenizer_class(self.vocab_file						,	word_tokenizer_type="jumanpp"						)
       self.assertIsNotNone(_UpperCamelCase						)

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

       snake_case    :      int      					=    os.path.join(self.tmpdirname						,	"tokenizer.bin"						)
       with open(_UpperCamelCase						,	"wb"						) as handle:
           pickle.dump(_UpperCamelCase						,	_UpperCamelCase						)

       with open(_UpperCamelCase						,	"rb"						) as handle:
           snake_case    :      str      					=    pickle.load(_UpperCamelCase						)

       snake_case    :      Dict      					=    tokenizer_new.tokenize(_UpperCamelCase						)

       self.assertListEqual(_UpperCamelCase						,	_UpperCamelCase						)







   @require_jumanpp
   def  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    JumanppTokenizer()

       self.assertListEqual(
           tokenizer.tokenize(" \tｱｯﾌﾟﾙストアでiPhone８ が  \n 発売された　。  "						)						,	["アップル", "ストア", "で", "iPhone", "8", "\u3000", "が", "\u3000", "\u3000", "\u3000", "発売", "さ", "れた", "\u3000", "。"]						,	)







   @require_jumanpp
   def  lowerCamelCase		(	self						)	->		int:

       '''simple docstring'''




       snake_case    :      int      					=    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  lowerCamelCase		(	self						)	->		Union[str, Any]:

       '''simple docstring'''




       snake_case    :      Any      					=    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  lowerCamelCase		(	self						)	->		List[str]:

       '''simple docstring'''




       snake_case    :      List[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  lowerCamelCase		(	self						)	->		Union[str, Any]:

       '''simple docstring'''




       snake_case    :      Dict      					=    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						)	->		List[str]:

       '''simple docstring'''




       snake_case    :      Optional[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']

       snake_case    :      Any      					=    {}
       for i, token in enumerate(_UpperCamelCase						):
           snake_case    :      Union[str, Any]      					=    i
       snake_case    :      List[Any]      					=    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  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp"						)
       snake_case    :      str      					=    tokenizer.subword_tokenizer

       snake_case    :      Union[str, 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", "▁。"]						)

       snake_case    :      Any      					=    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  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      Optional[Any]      					=    self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese"						)

       snake_case    :      Optional[Any]      					=    tokenizer.encode("ありがとう。"						,	add_special_tokens=_UpperCamelCase						)
       snake_case    :      str      					=    tokenizer.encode("どういたしまして。"						,	add_special_tokens=_UpperCamelCase						)

       snake_case    :      int      					=    tokenizer.build_inputs_with_special_tokens(_UpperCamelCase						)
       snake_case    :      Dict      					=    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				(      _snake_case    ,							unittest.TestCase	):
   __UpperCAmelCase :       Dict							  =  BertJapaneseTokenizer
   __UpperCAmelCase :       Any							  =  False







   def  lowerCamelCase		(	self						)	->		Tuple:

       '''simple docstring'''




       super().setUp()

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

       snake_case    :      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  lowerCamelCase		(	self						,	**UpperCamelCase__						)	->		Optional[int]:

       '''simple docstring'''




       return BertJapaneseTokenizer.from_pretrained(self.tmpdirname						,	subword_tokenizer_type="character"						,	**_UpperCamelCase						)







   def  lowerCamelCase		(	self						,	UpperCamelCase__						)	->		Tuple:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    'こんにちは、世界。 \nこんばんは、世界。'
       snake_case    :      Optional[int]      					=    'こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。'
       return input_text, output_text







   def  lowerCamelCase		(	self						)	->		Dict:

       '''simple docstring'''




       pass  # TODO add if relevant







   def  lowerCamelCase		(	self						)	->		List[str]:

       '''simple docstring'''




       pass  # TODO add if relevant







   def  lowerCamelCase		(	self						)	->		str:

       '''simple docstring'''




       pass  # TODO add if relevant







   def  lowerCamelCase		(	self						)	->		List[str]:

       '''simple docstring'''




       snake_case    :      Optional[Any]      					=    self.tokenizer_class(self.vocab_file						,	subword_tokenizer_type="character"						)

       snake_case    :      Optional[Any]      					=    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  lowerCamelCase		(	self						)	->		Optional[int]:

       '''simple docstring'''




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

       snake_case    :      Dict      					=    {}
       for i, token in enumerate(_UpperCamelCase						):
           snake_case    :      Any      					=    i
       snake_case    :      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  lowerCamelCase		(	self						)	->		Union[str, Any]:

       '''simple docstring'''




       snake_case    :      List[Any]      					=    self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char"						)

       snake_case    :      Dict      					=    tokenizer.encode("ありがとう。"						,	add_special_tokens=_UpperCamelCase						)
       snake_case    :      Dict      					=    tokenizer.encode("どういたしまして。"						,	add_special_tokens=_UpperCamelCase						)

       snake_case    :      Any      					=    tokenizer.build_inputs_with_special_tokens(_UpperCamelCase						)
       snake_case    :      Dict      					=    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  lowerCamelCase		(	self						)	->		Optional[int]:

       '''simple docstring'''




       snake_case    :      List[Any]      					=    'cl-tohoku/bert-base-japanese'
       snake_case    :      List[str]      					=    AutoTokenizer.from_pretrained(_UpperCamelCase						)
       self.assertIsInstance(_UpperCamelCase						,	_UpperCamelCase						)







class _lowerCAmelCase				(      unittest.TestCase	):







   def  lowerCamelCase		(	self						)	->		Union[str, Any]:

       '''simple docstring'''




       snake_case    :      Tuple      					=    '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."						)						)
       snake_case    :      List[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."						)						)













from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase								=						{
    'configuration_time_series_transformer': [
        'TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TimeSeriesTransformerConfig',
    ],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase								=						[
		    'TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'TimeSeriesTransformerForPrediction',
		    'TimeSeriesTransformerModel',
		    'TimeSeriesTransformerPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_time_series_transformer import (
		    TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    TimeSeriesTransformerConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_time_series_transformer import (
				    TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TimeSeriesTransformerForPrediction,
				    TimeSeriesTransformerModel,
				    TimeSeriesTransformerPreTrainedModel,
				)

else:
		import sys

		__UpperCAmelCase								=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






