
"""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 			UpperCamelCase      (							__lowercase      ,       unittest.TestCase  ):
     A__      =			BertJapaneseTokenizer
     A__      =			False
     A__      =			True
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       super().setUp()

       _SCREAMING_SNAKE_CASE   :				List[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",
           "、",
           "##、",
           "。",
           "##。",
       ]

       _SCREAMING_SNAKE_CASE   :				Tuple							    = 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 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = "こんにちは、世界。 \nこんばんは、世界。"
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = "こんにちは 、 世界 。 こんばんは 、 世界 。"
       return input_text, output_text
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = self.get_input_output_texts(snake_case__				)
       _SCREAMING_SNAKE_CASE   :				str							    = tokenizer.encode(snake_case__  ,     add_special_tokens=snake_case__				)
       _SCREAMING_SNAKE_CASE   :				Any							    = tokenizer.decode(snake_case__  ,     clean_up_tokenization_spaces=snake_case__				)
       return text, ids
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


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




       """simple docstring"""


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




       """simple docstring"""


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




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = self.tokenizer_class(self.vocab_file				)

       _SCREAMING_SNAKE_CASE   :				Tuple							    = tokenizer.tokenize("こんにちは、世界。\nこんばんは、世界。"				)
       self.assertListEqual(snake_case__  ,     ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]				)
       self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__				)  ,     [3, 12, 10, 14, 4, 9, 12, 10, 14]				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[Any]							    = self.tokenizer_class(self.vocab_file  ,     word_tokenizer_type="mecab"				)
       self.assertIsNotNone(snake_case__				)

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

       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = os.path.join(self.tmpdirname  ,     "tokenizer.bin"				)
       with open(snake_case__  ,     "wb"				) as handle:
         pickle.dump(snake_case__  ,     snake_case__				)

       with open(snake_case__  ,     "rb"				) as handle:
         _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = pickle.load(snake_case__				)

       _SCREAMING_SNAKE_CASE   :				Any							    = tokenizer_new.tokenize(snake_case__				)

       self.assertListEqual(snake_case__  ,     snake_case__				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       try:
         _SCREAMING_SNAKE_CASE   :				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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       try:
         _SCREAMING_SNAKE_CASE   :				List[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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = MecabTokenizer(do_lower_case=snake_case__  ,     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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       try:
         _SCREAMING_SNAKE_CASE   :				Tuple							    = MecabTokenizer(
             do_lower_case=snake_case__  ,     normalize_text=snake_case__  ,     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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = MecabTokenizer(normalize_text=snake_case__  ,     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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[Any]							    = self.tokenizer_class(self.vocab_file  ,     word_tokenizer_type="sudachi"				)
       self.assertIsNotNone(snake_case__				)

       _SCREAMING_SNAKE_CASE   :				str							    = "こんにちは、世界。\nこんばんは、世界。"
       _SCREAMING_SNAKE_CASE   :				Tuple							    = tokenizer.tokenize(snake_case__				)
       self.assertListEqual(snake_case__  ,     ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]				)
       self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__				)  ,     [3, 12, 10, 14, 4, 9, 12, 10, 14]				)

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

       with open(snake_case__  ,     "rb"				) as handle:
         _SCREAMING_SNAKE_CASE   :				Optional[int]							    = pickle.load(snake_case__				)

       _SCREAMING_SNAKE_CASE   :				str							    = tokenizer_new.tokenize(snake_case__				)

       self.assertListEqual(snake_case__  ,     snake_case__				)
     @require_sudachi
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = 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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = SudachiTokenizer(do_lower_case=snake_case__  ,     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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = SudachiTokenizer(normalize_text=snake_case__  ,     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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				int							    = SudachiTokenizer(trim_whitespace=snake_case__  ,     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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = self.tokenizer_class(self.vocab_file  ,     word_tokenizer_type="jumanpp"				)
       self.assertIsNotNone(snake_case__				)

       _SCREAMING_SNAKE_CASE   :				int							    = "こんにちは、世界。\nこんばんは、世界。"
       _SCREAMING_SNAKE_CASE   :				Dict							    = tokenizer.tokenize(snake_case__				)
       self.assertListEqual(snake_case__  ,     ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]				)
       self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__				)  ,     [3, 12, 10, 14, 4, 9, 12, 10, 14]				)

       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = os.path.join(self.tmpdirname  ,     "tokenizer.bin"				)
       with open(snake_case__  ,     "wb"				) as handle:
         pickle.dump(snake_case__  ,     snake_case__				)

       with open(snake_case__  ,     "rb"				) as handle:
         _SCREAMING_SNAKE_CASE   :				Any							    = pickle.load(snake_case__				)

       _SCREAMING_SNAKE_CASE   :				List[Any]							    = tokenizer_new.tokenize(snake_case__				)

       self.assertListEqual(snake_case__  ,     snake_case__				)
     @require_jumanpp
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Any							    = JumanppTokenizer(do_lower_case=snake_case__				)

       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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = JumanppTokenizer(normalize_text=snake_case__				)

       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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = JumanppTokenizer(trim_whitespace=snake_case__				)

       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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_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"]

       _SCREAMING_SNAKE_CASE   :				str							    = {}
       for i, token in enumerate(snake_case__				):
         _SCREAMING_SNAKE_CASE   :				Tuple							    = i
       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = WordpieceTokenizer(vocab=snake_case__  ,     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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Any							    = BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp"				)
       _SCREAMING_SNAKE_CASE   :				int							    = tokenizer.subword_tokenizer

       _SCREAMING_SNAKE_CASE   :				int							    = 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(snake_case__  ,     ["▁国境", "▁の", "▁長い", "▁トンネル", "▁を", "▁抜ける", "▁と", "▁雪", "国", "▁であった", "▁。"]				)

       _SCREAMING_SNAKE_CASE   :				List[Any]							    = subword_tokenizer.tokenize("こんばんは こんばん にち は こんにちは"				)
       self.assertListEqual(snake_case__  ,     ["▁こん", "ばん", "は", "▁こん", "ばん", "▁に", "ち", "▁は", "▁こんにちは"]				)




     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese"				)

       _SCREAMING_SNAKE_CASE   :				Any							    = tokenizer.encode("ありがとう。"  ,     add_special_tokens=snake_case__				)
       _SCREAMING_SNAKE_CASE   :				int							    = tokenizer.encode("どういたしまして。"  ,     add_special_tokens=snake_case__				)

       _SCREAMING_SNAKE_CASE   :				str							    = tokenizer.build_inputs_with_special_tokens(snake_case__				)
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = tokenizer.build_inputs_with_special_tokens(snake_case__  ,     snake_case__				)

       # 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      (							__lowercase      ,       unittest.TestCase  ):
     A__      =			BertJapaneseTokenizer
     A__      =			False
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       super().setUp()

       _SCREAMING_SNAKE_CASE   :				int							    = ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

       _SCREAMING_SNAKE_CASE   :				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 				__SCREAMING_SNAKE_CASE							(     self  ,     **snake_case__				):




       """simple docstring"""


       return BertJapaneseTokenizer.from_pretrained(self.tmpdirname  ,     subword_tokenizer_type="character"  ,     **snake_case__				)
     def 				__SCREAMING_SNAKE_CASE							(     self  ,     snake_case__				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				int							    = "こんにちは、世界。 \nこんばんは、世界。"
       _SCREAMING_SNAKE_CASE   :				Tuple							    = "こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"
       return input_text, output_text
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


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




       """simple docstring"""


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




       """simple docstring"""


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




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = self.tokenizer_class(self.vocab_file  ,     subword_tokenizer_type="character"				)

       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = tokenizer.tokenize("こんにちは、世界。 \nこんばんは、世界。"				)
       self.assertListEqual(
           snake_case__  ,     ["こ", "ん", "に", "ち", "は", "、", "世", "界", "。", "こ", "ん", "ば", "ん", "は", "、", "世", "界", "。"]				)
       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(snake_case__				)  ,     [3, 4, 5, 6, 7, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12]				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = ["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = {}
       for i, token in enumerate(snake_case__				):
         _SCREAMING_SNAKE_CASE   :				Optional[int]							    = i
       _SCREAMING_SNAKE_CASE   :				List[str]							    = CharacterTokenizer(vocab=snake_case__  ,     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 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char"				)

       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = tokenizer.encode("ありがとう。"  ,     add_special_tokens=snake_case__				)
       _SCREAMING_SNAKE_CASE   :				Tuple							    = tokenizer.encode("どういたしまして。"  ,     add_special_tokens=snake_case__				)

       _SCREAMING_SNAKE_CASE   :				Tuple							    = tokenizer.build_inputs_with_special_tokens(snake_case__				)
       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = tokenizer.build_inputs_with_special_tokens(snake_case__  ,     snake_case__				)

       # 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  ):
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = "cl-tohoku/bert-base-japanese"
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = AutoTokenizer.from_pretrained(snake_case__				)
       self.assertIsInstance(snake_case__  ,     snake_case__				)
class 			UpperCamelCase      (							unittest.TestCase  ):
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Any							    = "cl-tohoku/bert-base-japanese"
       with self.assertLogs("transformers"  ,     level="WARNING"				) as cm:
         BertTokenizer.from_pretrained(snake_case__				)
         self.assertTrue(
             cm.records[0].message.startswith(
                 "The tokenizer class you load from this checkpoint is not the same type as the class this function"
                 " is called from."				)				)
       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = "bert-base-cased"
       with self.assertLogs("transformers"  ,     level="WARNING"				) as cm:
         BertJapaneseTokenizer.from_pretrained(snake_case__				)
         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 fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer





def    _lowerCAmelCase    (     lowerCamelCase__							:							str,						lowerCamelCase__							:							str,						**lowerCamelCase__							:							Optional[Any]				)  ->    Union[str, Any]:
  _SCREAMING_SNAKE_CASE   :				Dict							    = AutoConfig.from_pretrained(lowerCamelCase__,						**lowerCamelCase__				)
  _SCREAMING_SNAKE_CASE   :				List[str]							    = AutoModelForSeqaSeqLM.from_config(lowerCamelCase__				)
  model.save_pretrained(lowerCamelCase__				)
  AutoTokenizer.from_pretrained(lowerCamelCase__				).save_pretrained(lowerCamelCase__				)
  return model


if __name__ == "__main__":
      fire.Fire(save_randomly_initialized_version)



