

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 SCREAMING_SNAKE_CASE     (  snake_case_       ,							unittest.TestCase			):
  """simple docstring"""






  lowerCamelCase   :      Tuple										=BertJapaneseTokenizer
  lowerCamelCase   :      Tuple										=False
  lowerCamelCase   :      str										=True







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






     """simple docstring"""







     super().setUp()

     __lowerCAmelCase  :      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',
         '、',
         '##、',
         '。',
         '##。',
     ]

     __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 	SCREAMING_SNAKE_CASE   (      self			:   Optional[int]	,							lowerCAmelCase			:   List[Any]   )							->     Optional[Any]:






     """simple docstring"""







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







  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[Any]	,							lowerCAmelCase			:   List[Any]   )							->     Union[str, Any]:






     """simple docstring"""







     __lowerCAmelCase  :      Optional[Any]    =						self.get_input_output_texts(lowerCAmelCase   )
     __lowerCAmelCase  :      Optional[Any]    =						tokenizer.encode(lowerCAmelCase	,							add_special_tokens=lowerCAmelCase   )
     __lowerCAmelCase  :      Any    =						tokenizer.decode(lowerCAmelCase	,							clean_up_tokenization_spaces=lowerCAmelCase   )
     return text, ids







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






     """simple docstring"""







     pass  # TODO add if relevant







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






     """simple docstring"""







     pass  # TODO add if relevant







  def 	SCREAMING_SNAKE_CASE   (      self			:   Any   )							->     Any:






     """simple docstring"""







     pass  # TODO add if relevant







  def 	SCREAMING_SNAKE_CASE   (      self			:   int   )							->     Tuple:






     """simple docstring"""







     __lowerCAmelCase  :      List[Any]    =						self.tokenizer_class(self.vocab_file   )

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







  def 	SCREAMING_SNAKE_CASE   (      self			:   int   )							->     Any:






     """simple docstring"""







     __lowerCAmelCase  :      Optional[int]    =						self.tokenizer_class(self.vocab_file	,							word_tokenizer_type="""mecab"""   )
     self.assertIsNotNone(lowerCAmelCase   )

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

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

     with open(lowerCAmelCase	,							"""rb"""   ) as handle:
        __lowerCAmelCase  :      List[str]    =						pickle.load(lowerCAmelCase   )

     __lowerCAmelCase  :      Optional[int]    =						tokenizer_new.tokenize(lowerCAmelCase   )

     self.assertListEqual(lowerCAmelCase	,							lowerCAmelCase   )







  def 	SCREAMING_SNAKE_CASE   (      self			:   Any   )							->     int:






     """simple docstring"""







     __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 	SCREAMING_SNAKE_CASE   (      self			:   Dict   )							->     List[Any]:






     """simple docstring"""







     try:
        __lowerCAmelCase  :      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			:   str   )							->     Any:






     """simple docstring"""







     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 	SCREAMING_SNAKE_CASE   (      self			:   List[str]   )							->     List[Any]:






     """simple docstring"""







     __lowerCAmelCase  :      List[Any]    =						MecabTokenizer(do_lower_case=lowerCAmelCase	,							mecab_dic="""ipadic"""   )

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







  def 	SCREAMING_SNAKE_CASE   (      self			:   Tuple   )							->     int:






     """simple docstring"""







     try:
        __lowerCAmelCase  :      Dict    =						MecabTokenizer(
            do_lower_case=lowerCAmelCase	,							normalize_text=lowerCAmelCase	,							mecab_option="""-d /usr/local/lib/mecab/dic/jumandic"""   )
     except RuntimeError:
        # if dict doesn't exist in the system, previous code raises this error.
        return

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







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






     """simple docstring"""







     __lowerCAmelCase  :      Union[str, Any]    =						MecabTokenizer(normalize_text=lowerCAmelCase	,							mecab_dic="""ipadic"""   )

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







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






     """simple docstring"""







     __lowerCAmelCase  :      str    =						self.tokenizer_class(self.vocab_file	,							word_tokenizer_type="""sudachi"""   )
     self.assertIsNotNone(lowerCAmelCase   )

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

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

     with open(lowerCAmelCase	,							"""rb"""   ) as handle:
        __lowerCAmelCase  :      int    =						pickle.load(lowerCAmelCase   )

     __lowerCAmelCase  :      List[Any]    =						tokenizer_new.tokenize(lowerCAmelCase   )

     self.assertListEqual(lowerCAmelCase	,							lowerCAmelCase   )







  @require_sudachi
  def 	SCREAMING_SNAKE_CASE   (      self			:   Any   )							->     Dict:






     """simple docstring"""







     __lowerCAmelCase  :      List[str]    =						SudachiTokenizer(sudachi_dict_type="""core"""   )

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







  @require_sudachi
  def 	SCREAMING_SNAKE_CASE   (      self			:   List[str]   )							->     int:






     """simple docstring"""







     __lowerCAmelCase  :      Optional[int]    =						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			:   Tuple   )							->     Dict:






     """simple docstring"""







     __lowerCAmelCase  :      Dict    =						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			:   int   )							->     Optional[int]:






     """simple docstring"""







     __lowerCAmelCase  :      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 	SCREAMING_SNAKE_CASE   (      self			:   Optional[Any]   )							->     Optional[int]:






     """simple docstring"""







     __lowerCAmelCase  :      Optional[int]    =						SudachiTokenizer(do_lower_case=lowerCAmelCase	,							sudachi_dict_type="""core"""   )

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







  @require_sudachi
  def 	SCREAMING_SNAKE_CASE   (      self			:   Dict   )							->     int:






     """simple docstring"""







     __lowerCAmelCase  :      Dict    =						SudachiTokenizer(normalize_text=lowerCAmelCase	,							sudachi_dict_type="""core"""   )

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







  @require_sudachi
  def 	SCREAMING_SNAKE_CASE   (      self			:   int   )							->     Optional[Any]:






     """simple docstring"""







     __lowerCAmelCase  :      Optional[Any]    =						SudachiTokenizer(trim_whitespace=lowerCAmelCase	,							sudachi_dict_type="""core"""   )

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







  @require_jumanpp
  def 	SCREAMING_SNAKE_CASE   (      self			:   Dict   )							->     int:






     """simple docstring"""







     __lowerCAmelCase  :      Optional[Any]    =						self.tokenizer_class(self.vocab_file	,							word_tokenizer_type="""jumanpp"""   )
     self.assertIsNotNone(lowerCAmelCase   )

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

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

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

     __lowerCAmelCase  :      Optional[Any]    =						tokenizer_new.tokenize(lowerCAmelCase   )

     self.assertListEqual(lowerCAmelCase	,							lowerCAmelCase   )







  @require_jumanpp
  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[Any]   )							->     int:






     """simple docstring"""







     __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 	SCREAMING_SNAKE_CASE   (      self			:   List[str]   )							->     Any:






     """simple docstring"""







     __lowerCAmelCase  :      Optional[Any]    =						JumanppTokenizer(do_lower_case=lowerCAmelCase   )

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







  @require_jumanpp
  def 	SCREAMING_SNAKE_CASE   (      self			:   str   )							->     int:






     """simple docstring"""







     __lowerCAmelCase  :      str    =						JumanppTokenizer(normalize_text=lowerCAmelCase   )

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







  @require_jumanpp
  def 	SCREAMING_SNAKE_CASE   (      self			:   Union[str, Any]   )							->     Dict:






     """simple docstring"""







     __lowerCAmelCase  :      Any    =						JumanppTokenizer(trim_whitespace=lowerCAmelCase   )

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







  @require_jumanpp
  def 	SCREAMING_SNAKE_CASE   (      self			:   int   )							->     Optional[Any]:






     """simple docstring"""







     __lowerCAmelCase  :      List[str]    =						JumanppTokenizer()

     self.assertListEqual(
         tokenizer.tokenize("""ありがとうございますm(_ _)ｍ見つけるのが大変です。"""   )	,							["""ありがとう""", """ございます""", """m(_ _)m""", """見つける""", """の""", """が""", """大変です""", """。"""]	,							)







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






     """simple docstring"""







     __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  :      Union[str, Any]    =						{}
     for i, token in enumerate(lowerCAmelCase   ):
        __lowerCAmelCase  :      List[str]    =						i
     __lowerCAmelCase  :      Dict    =						WordpieceTokenizer(vocab=lowerCAmelCase	,							unk_token="""[UNK]"""   )

     self.assertListEqual(tokenizer.tokenize(""""""   )	,							[]   )

     self.assertListEqual(tokenizer.tokenize("""こんにちは"""   )	,							["""こんにちは"""]   )

     self.assertListEqual(tokenizer.tokenize("""こんばんは"""   )	,							["""こん""", """##ばんは"""]   )

     self.assertListEqual(tokenizer.tokenize("""こんばんは こんばんにちは こんにちは"""   )	,							["""こん""", """##ばんは""", """[UNK]""", """こんにちは"""]   )







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






     """simple docstring"""







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

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

     __lowerCAmelCase  :      Dict    =						subword_tokenizer.tokenize("""こんばんは こんばん にち は こんにちは"""   )
     self.assertListEqual(lowerCAmelCase	,							["""▁こん""", """ばん""", """は""", """▁こん""", """ばん""", """▁に""", """ち""", """▁は""", """▁こんにちは"""]   )







  def 	SCREAMING_SNAKE_CASE   (      self			:   Any   )							->     str:






     """simple docstring"""







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

     __lowerCAmelCase  :      Optional[int]    =						tokenizer.encode("""ありがとう。"""	,							add_special_tokens=lowerCAmelCase   )
     __lowerCAmelCase  :      List[Any]    =						tokenizer.encode("""どういたしまして。"""	,							add_special_tokens=lowerCAmelCase   )

     __lowerCAmelCase  :      Optional[int]    =						tokenizer.build_inputs_with_special_tokens(lowerCAmelCase   )
     __lowerCAmelCase  :      Optional[int]    =						tokenizer.build_inputs_with_special_tokens(lowerCAmelCase	,							lowerCAmelCase   )

     # 2 is for "[CLS]", 3 is for "[SEP]"
     assert encoded_sentence == [2] + text + [3]
     assert encoded_pair == [2] + text + [3] + text_a + [3]






@custom_tokenizers
class SCREAMING_SNAKE_CASE     (  snake_case_       ,							unittest.TestCase			):
  """simple docstring"""






  lowerCamelCase   :      Dict										=BertJapaneseTokenizer
  lowerCamelCase   :      Dict										=False







  def 	SCREAMING_SNAKE_CASE   (      self			:   Dict   )							->     Tuple:






     """simple docstring"""







     super().setUp()

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

     __lowerCAmelCase  :      Optional[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 	SCREAMING_SNAKE_CASE   (      self			:   Optional[Any]	,							**lowerCAmelCase			:   Any   )							->     int:






     """simple docstring"""







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







  def 	SCREAMING_SNAKE_CASE   (      self			:   Union[str, Any]	,							lowerCAmelCase			:   Union[str, Any]   )							->     Optional[int]:






     """simple docstring"""







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







  def 	SCREAMING_SNAKE_CASE   (      self			:   Tuple   )							->     Optional[Any]:






     """simple docstring"""







     pass  # TODO add if relevant







  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[Any]   )							->     List[str]:






     """simple docstring"""







     pass  # TODO add if relevant







  def 	SCREAMING_SNAKE_CASE   (      self			:   Tuple   )							->     Optional[int]:






     """simple docstring"""







     pass  # TODO add if relevant







  def 	SCREAMING_SNAKE_CASE   (      self			:   Any   )							->     Optional[int]:






     """simple docstring"""







     __lowerCAmelCase  :      List[Any]    =						self.tokenizer_class(self.vocab_file	,							subword_tokenizer_type="""character"""   )

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







  def 	SCREAMING_SNAKE_CASE   (      self			:   str   )							->     Dict:






     """simple docstring"""







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

     __lowerCAmelCase  :      List[str]    =						{}
     for i, token in enumerate(lowerCAmelCase   ):
        __lowerCAmelCase  :      Optional[int]    =						i
     __lowerCAmelCase  :      str    =						CharacterTokenizer(vocab=lowerCAmelCase	,							unk_token="""[UNK]"""   )

     self.assertListEqual(tokenizer.tokenize(""""""   )	,							[]   )

     self.assertListEqual(tokenizer.tokenize("""こんにちは"""   )	,							["""こ""", """ん""", """に""", """ち""", """は"""]   )

     self.assertListEqual(tokenizer.tokenize("""こんにちほ"""   )	,							["""こ""", """ん""", """に""", """ち""", """[UNK]"""]   )







  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[int]   )							->     Optional[int]:






     """simple docstring"""







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

     __lowerCAmelCase  :      int    =						tokenizer.encode("""ありがとう。"""	,							add_special_tokens=lowerCAmelCase   )
     __lowerCAmelCase  :      Optional[int]    =						tokenizer.encode("""どういたしまして。"""	,							add_special_tokens=lowerCAmelCase   )

     __lowerCAmelCase  :      Dict    =						tokenizer.build_inputs_with_special_tokens(lowerCAmelCase   )
     __lowerCAmelCase  :      Tuple    =						tokenizer.build_inputs_with_special_tokens(lowerCAmelCase	,							lowerCAmelCase   )

     # 2 is for "[CLS]", 3 is for "[SEP]"
     assert encoded_sentence == [2] + text + [3]
     assert encoded_pair == [2] + text + [3] + text_a + [3]






@custom_tokenizers
class SCREAMING_SNAKE_CASE     (  unittest.TestCase			):
  """simple docstring"""






  def 	SCREAMING_SNAKE_CASE   (      self			:   Optional[Any]   )							->     List[str]:






     """simple docstring"""







     __lowerCAmelCase  :      Any    =						'cl-tohoku/bert-base-japanese'
     __lowerCAmelCase  :      Dict    =						AutoTokenizer.from_pretrained(lowerCAmelCase   )
     self.assertIsInstance(lowerCAmelCase	,							lowerCAmelCase   )






class SCREAMING_SNAKE_CASE     (  unittest.TestCase			):
  """simple docstring"""






  def 	SCREAMING_SNAKE_CASE   (      self			:   Any   )							->     Any:






     """simple docstring"""







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





import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


__UpperCAmelCase								=			logging.get_logger(__name__)





def      snake_case_				(__A					:						List[str] ,       __A					:						str					)      ->     int:
   __lowerCAmelCase  :      str    =						set()
   __lowerCAmelCase  :      int    =						[]

   def parse_line(__A					:						List[Any]					):
      for line in fp:
         if isinstance(__A ,       __A					):
            __lowerCAmelCase  :      str    =						line.decode("""UTF-8"""					)
         if "warnings summary (final)" in line:
            continue
         # This means we are outside the body of a warning
         elif not line.startswith(""" """					):
            # process a single warning and move it to `selected_warnings`.
            if len(__A					) > 0:
               __lowerCAmelCase  :      Tuple    =						"""\n""".join(__A					)
               # Only keep the warnings specified in `targets`
               if any(f''': {x}: ''' in warning for x in targets					):
                  selected_warnings.add(__A					)
               buffer.clear()
            continue
         else:
            __lowerCAmelCase  :      Optional[int]    =						line.strip()
            buffer.append(__A					)

   if from_gh:
      for filename in os.listdir(__A					):
         __lowerCAmelCase  :      Optional[Any]    =						os.path.join(__A ,       __A					)
         if not os.path.isdir(__A					):
            # read the file
            if filename != "warnings.txt":
               continue
            with open(__A					) as fp:
               parse_line(__A					)
   else:
      try:
         with zipfile.ZipFile(__A					) as z:
            for filename in z.namelist():
               if not os.path.isdir(__A					):
                  # read the file
                  if filename != "warnings.txt":
                     continue
                  with z.open(__A					) as fp:
                     parse_line(__A					)
      except Exception:
         logger.warning(
             f'''{artifact_path} is either an invalid zip file or something else wrong. This file is skipped.'''					)

   return selected_warnings





def      snake_case_				(__A					:						Dict ,       __A					:						Union[str, Any]					)      ->     Dict:
   __lowerCAmelCase  :      Any    =						set()

   __lowerCAmelCase  :      Optional[int]    =						[os.path.join(__A ,       __A					) for p in os.listdir(__A					) if (p.endswith(""".zip"""					) or from_gh)]
   for p in paths:
      selected_warnings.update(extract_warnings_from_single_artifact(__A ,       __A					)					)

   return selected_warnings


if __name__ == "__main__":





   def      snake_case_				(__A					:						int					)      ->     Tuple:
      return values.split(""","""					)

   __UpperCAmelCase								=			argparse.ArgumentParser()
   # Required parameters
   parser.add_argument("""--workflow_run_id""", type=str, required=True, help="""A GitHub Actions workflow run id.""")
   parser.add_argument(
       """--output_dir""",
       type=str,
       required=True,
       help="""Where to store the downloaded artifacts and other result files.""",
   )
   parser.add_argument("""--token""", default=None, type=str, help="""A token that has actions:read permission.""")
   # optional parameters
   parser.add_argument(
       """--targets""",
       default="""DeprecationWarning,UserWarning,FutureWarning""",
       type=list_str,
       help="""Comma-separated list of target warning(s) which we want to extract.""",
   )
   parser.add_argument(
       """--from_gh""",
       action="""store_true""",
       help="""If running from a GitHub action workflow and collecting warnings from its artifacts.""",
   )

   __UpperCAmelCase								=			parser.parse_args()

   __UpperCAmelCase								=			args.from_gh
   if from_gh:
      # The artifacts have to be downloaded using `actions/download-artifact@v3`
      pass
   else:
      os.makedirs(args.output_dir, exist_ok=True)

      # get download links
      __UpperCAmelCase								=			get_artifacts_links(args.workflow_run_id, token=args.token)
      with open(os.path.join(args.output_dir, """artifacts.json"""), """w""", encoding="""UTF-8""") as fp:
         json.dump(artifacts, fp, ensure_ascii=False, indent=4)

      # download artifacts
      for idx, (name, url) in enumerate(artifacts.items()):
         print(name)
         print(url)
         print("""=""" * 80)
         download_artifact(name, url, args.output_dir, args.token)
         # Be gentle to GitHub
         time.sleep(1)

    # extract warnings from artifacts
   __UpperCAmelCase								=			extract_warnings(args.output_dir, args.targets)
   __UpperCAmelCase								=			sorted(selected_warnings)
   with open(os.path.join(args.output_dir, """selected_warnings.json"""), """w""", encoding="""UTF-8""") as fp:
      json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)


