

import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List

import git
import torch
from torch.utils.data import Dataset

from transformers import BartTokenizer, RagTokenizer, TaTokenizer


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__=True    ,						SCREAMING_SNAKE_CASE__="pt"			):
						snake_case_  =      {'''add_prefix_space''': True} if isinstance(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			) and not line.startswith(''' '''			) else {}
						snake_case_  =      padding_side
						return tokenizer(
						    [line]    ,						max_length=SCREAMING_SNAKE_CASE__    ,						padding='''max_length''' if pad_to_max_length else None    ,						truncation=SCREAMING_SNAKE_CASE__    ,						return_tensors=SCREAMING_SNAKE_CASE__    ,						add_special_tokens=SCREAMING_SNAKE_CASE__    ,						**SCREAMING_SNAKE_CASE__    ,						)


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__=None    ,						):
						snake_case_  =      input_ids.ne(SCREAMING_SNAKE_CASE__			).any(dim=0			)
						if attention_mask is None:
												return input_ids[:, keep_column_mask]
						else:
												return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask])





class       snake_case_  (						__A   ):







			'''simple docstring'''

			def __init__(	self					:							Optional[int]				,  _UpperCamelCase					:							Dict				,  _UpperCamelCase					:							int				,  _UpperCamelCase					:							Tuple				,  _UpperCamelCase					:							int				,  _UpperCamelCase					:							Tuple="train"				,  _UpperCamelCase					:							Dict=None				,  _UpperCamelCase					:							Optional[int]=None				,  _UpperCamelCase					:							List[str]=None				,  _UpperCamelCase					:							int=""				,  ) ->Tuple:
									super().__init__()
									snake_case_  =      Path(_UpperCamelCase				).joinpath(type_path + '''.source'''				)
									snake_case_  =      Path(_UpperCamelCase				).joinpath(type_path + '''.target'''				)
									snake_case_  =      self.get_char_lens(self.src_file				)
									snake_case_  =      max_source_length
									snake_case_  =      max_target_length
									assert min(self.src_lens				) > 0, f'''found empty line in {self.src_file}'''
									snake_case_  =      tokenizer
									snake_case_  =      prefix
									if n_obs is not None:
															snake_case_  =      self.src_lens[:n_obs]
									snake_case_  =      src_lang
									snake_case_  =      tgt_lang







			def __len__(	self					:							List[str]				) ->Dict:
									return len(self.src_lens				)







			def __getitem__(	self					:							Tuple				,  _UpperCamelCase					:							Tuple				) ->Dict[str, torch.Tensor]:
									snake_case_  =      index + 1  # linecache starts at 1
									snake_case_  =      self.prefix + linecache.getline(str(self.src_file				)				,  _UpperCamelCase				).rstrip('''\n'''				)
									snake_case_  =      linecache.getline(str(self.tgt_file				)				,  _UpperCamelCase				).rstrip('''\n'''				)
									assert source_line, f'''empty source line for index {index}'''
									assert tgt_line, f'''empty tgt line for index {index}'''

									# Need to add eos token manually for T5
									if isinstance(self.tokenizer				,  _UpperCamelCase				):
															source_line += self.tokenizer.eos_token
															tgt_line += self.tokenizer.eos_token

									# Pad source and target to the right
									snake_case_  =      (
									    self.tokenizer.question_encoder if isinstance(self.tokenizer				,  _UpperCamelCase				) else self.tokenizer
									)
									snake_case_  =      self.tokenizer.generator if isinstance(self.tokenizer				,  _UpperCamelCase				) else self.tokenizer

									snake_case_  =      encode_line(_UpperCamelCase				,  _UpperCamelCase				,  self.max_source_length				,  '''right'''				)
									snake_case_  =      encode_line(_UpperCamelCase				,  _UpperCamelCase				,  self.max_target_length				,  '''right'''				)

									snake_case_  =      source_inputs['''input_ids'''].squeeze()
									snake_case_  =      target_inputs['''input_ids'''].squeeze()
									snake_case_  =      source_inputs['''attention_mask'''].squeeze()
									return {
									    "input_ids": source_ids,
									    "attention_mask": src_mask,
									    "decoder_input_ids": target_ids,
									}







			@staticmethod
			def 							snake_case__(	_UpperCamelCase					:							Tuple				) ->Any:
									return [len(_UpperCamelCase				) for x in Path(_UpperCamelCase				).open().readlines()]







			def 							snake_case__(	self					:							Tuple				,  _UpperCamelCase					:							Optional[Any]				) ->Dict[str, torch.Tensor]:
									snake_case_  =      torch.stack([x['''input_ids'''] for x in batch]				)
									snake_case_  =      torch.stack([x['''attention_mask'''] for x in batch]				)
									snake_case_  =      torch.stack([x['''decoder_input_ids'''] for x in batch]				)
									snake_case_  =      (
									    self.tokenizer.generator.pad_token_id
									    if isinstance(self.tokenizer				,  _UpperCamelCase				)
									    else self.tokenizer.pad_token_id
									)
									snake_case_  =      (
									    self.tokenizer.question_encoder.pad_token_id
									    if isinstance(self.tokenizer				,  _UpperCamelCase				)
									    else self.tokenizer.pad_token_id
									)
									snake_case_  =      trim_batch(_UpperCamelCase				,  _UpperCamelCase				)
									snake_case_,       snake_case_  =      trim_batch(_UpperCamelCase				,  _UpperCamelCase				,  attention_mask=_UpperCamelCase				)
									snake_case_  =      {
									    '''input_ids''': source_ids,
									    '''attention_mask''': source_mask,
									    '''decoder_input_ids''': y,
									}
									return batch






lowerCAmelCase_			      =      getLogger(__name__)


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						return list(itertools.chain.from_iterable(SCREAMING_SNAKE_CASE__			)			)


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						snake_case_  =      get_git_info()
						save_json(SCREAMING_SNAKE_CASE__    ,						os.path.join(SCREAMING_SNAKE_CASE__    ,						'''git_log.json'''			)			)


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__=4    ,						**SCREAMING_SNAKE_CASE__			):
						with open(SCREAMING_SNAKE_CASE__    ,						'''w'''			) as f:
												json.dump(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						indent=SCREAMING_SNAKE_CASE__    ,						**SCREAMING_SNAKE_CASE__			)


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						with open(SCREAMING_SNAKE_CASE__			) as f:
												return json.load(SCREAMING_SNAKE_CASE__			)


def     __SCREAMING_SNAKE_CASE   ():
						snake_case_  =      git.Repo(search_parent_directories=SCREAMING_SNAKE_CASE__			)
						snake_case_  =      {
						    '''repo_id''': str(SCREAMING_SNAKE_CASE__			),
						    '''repo_sha''': str(repo.head.object.hexsha			),
						    '''repo_branch''': str(repo.active_branch			),
						    '''hostname''': str(socket.gethostname()			),
						}
						return repo_infos


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						return list(map(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			)			)


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						with open(SCREAMING_SNAKE_CASE__    ,						'''wb'''			) as f:
												return pickle.dump(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			)


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):

						def remove_articles(SCREAMING_SNAKE_CASE__			):
												return re.sub(R'''\b(a|an|the)\b'''    ,						''' '''    ,						SCREAMING_SNAKE_CASE__			)

						def white_space_fix(SCREAMING_SNAKE_CASE__			):
												return " ".join(text.split()			)

						def remove_punc(SCREAMING_SNAKE_CASE__			):
												snake_case_  =      set(string.punctuation			)
												return "".join(ch for ch in text if ch not in exclude			)

						def lower(SCREAMING_SNAKE_CASE__			):
												return text.lower()

						return white_space_fix(remove_articles(remove_punc(lower(SCREAMING_SNAKE_CASE__			)			)			)			)


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						snake_case_  =      normalize_answer(SCREAMING_SNAKE_CASE__			).split()
						snake_case_  =      normalize_answer(SCREAMING_SNAKE_CASE__			).split()
						snake_case_  =      Counter(SCREAMING_SNAKE_CASE__			) & Counter(SCREAMING_SNAKE_CASE__			)
						snake_case_  =      sum(common.values()			)
						if num_same == 0:
												return 0
						snake_case_  =      1.0 * num_same / len(SCREAMING_SNAKE_CASE__			)
						snake_case_  =      1.0 * num_same / len(SCREAMING_SNAKE_CASE__			)
						snake_case_  =      (2 * precision * recall) / (precision + recall)
						return fa


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						return normalize_answer(SCREAMING_SNAKE_CASE__			) == normalize_answer(SCREAMING_SNAKE_CASE__			)


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						assert len(SCREAMING_SNAKE_CASE__			) == len(SCREAMING_SNAKE_CASE__			)
						snake_case_  =      0
						for hypo, pred in zip(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
												em += exact_match_score(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			)
						if len(SCREAMING_SNAKE_CASE__			) > 0:
												em /= len(SCREAMING_SNAKE_CASE__			)
						return {"em": em}


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__			):
						return model_prefix.startswith('''rag'''			)


def     __SCREAMING_SNAKE_CASE   (SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
						snake_case_  =      {p: p for p in extra_params}
						# T5 models don't have `dropout` param, they have `dropout_rate` instead
						snake_case_  =      '''dropout_rate'''
						for p in extra_params:
												if getattr(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			):
																		if not hasattr(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			) and not hasattr(SCREAMING_SNAKE_CASE__    ,						equivalent_param[p]			):
																								logger.info('''config doesn\'t have a `{}` attribute'''.format(SCREAMING_SNAKE_CASE__			)			)
																								delattr(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			)
																								continue
																		snake_case_  =      p if hasattr(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			) else equivalent_param[p]
																		setattr(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						getattr(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			)			)
																		delattr(SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__			)
						return hparams, config
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 					_lowercase    (     UpperCAmelCase__ ,  unittest.TestCase			):






    '''simple docstring'''
    SCREAMING_SNAKE_CASE:				Union[str, Any]          =    BertJapaneseTokenizer
    SCREAMING_SNAKE_CASE:				Dict          =    False
    SCREAMING_SNAKE_CASE:				List[Any]          =    True




    def      _a    (    self ):
       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_:							Optional[Any]       =	os.path.join(self.tmpdirname       ,						VOCAB_FILES_NAMES["vocab_file"] )
       with open(self.vocab_file       ,						"w"       ,						encoding="utf-8" ) as vocab_writer:
          vocab_writer.write("".join([x + "\n" for x in vocab_tokens] ) )




    def      _a    (    self       ,						lowerCamelCase__ ):
       lowerCAmelCase_:							Optional[int]       =	"こんにちは、世界。 \nこんばんは、世界。"
       lowerCAmelCase_:							Optional[int]       =	"こんにちは 、 世界 。 こんばんは 、 世界 。"
       return input_text, output_text




    def      _a    (    self       ,						lowerCamelCase__ ):
       lowerCAmelCase_  ,	lowerCAmelCase_:							str       =	self.get_input_output_texts(lowerCamelCase__ )
       lowerCAmelCase_:							Dict       =	tokenizer.encode(lowerCamelCase__       ,						add_special_tokens=lowerCamelCase__ )
       lowerCAmelCase_:							List[str]       =	tokenizer.decode(lowerCamelCase__       ,						clean_up_tokenization_spaces=lowerCamelCase__ )
       return text, ids




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




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




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




    def      _a    (    self ):
       lowerCAmelCase_:							Union[str, Any]       =	self.tokenizer_class(self.vocab_file )

       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, 12, 10, 14, 4, 9, 12, 10, 14] )




    def      _a    (    self ):
       lowerCAmelCase_:							List[Any]       =	self.tokenizer_class(self.vocab_file       ,						word_tokenizer_type="mecab" )
       self.assertIsNotNone(lowerCamelCase__ )

       lowerCAmelCase_:							str       =	"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_:							Dict       =	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_:							Union[str, Any]       =	tokenizer_new.tokenize(lowerCamelCase__ )

       self.assertListEqual(lowerCamelCase__       ,						lowerCamelCase__ )




    def      _a    (    self ):
       lowerCAmelCase_:							List[str]       =	MecabTokenizer(mecab_dic="ipadic" )

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




    def      _a    (    self ):
       try:
          lowerCAmelCase_:							List[Any]       =	MecabTokenizer(mecab_dic="unidic_lite" )
       except ModuleNotFoundError:
          return

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




    def      _a    (    self ):
       try:
          lowerCAmelCase_:							str       =	MecabTokenizer(mecab_dic="unidic" )
       except ModuleNotFoundError:
          return

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




    def      _a    (    self ):
       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      _a    (    self ):
       try:
          lowerCAmelCase_:							Any       =	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      _a    (    self ):
       lowerCAmelCase_:							str       =	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      _a    (    self ):
       lowerCAmelCase_:							Any       =	self.tokenizer_class(self.vocab_file       ,						word_tokenizer_type="sudachi" )
       self.assertIsNotNone(lowerCamelCase__ )

       lowerCAmelCase_:							str       =	"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_:							List[str]       =	pickle.load(lowerCamelCase__ )

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

       self.assertListEqual(lowerCamelCase__       ,						lowerCamelCase__ )




    @require_sudachi
    def      _a    (    self ):
       lowerCAmelCase_:							Union[str, Any]       =	SudachiTokenizer(sudachi_dict_type="core" )

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




    @require_sudachi
    def      _a    (    self ):
       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      _a    (    self ):
       lowerCAmelCase_:							Any       =	SudachiTokenizer(sudachi_dict_type="core"       ,						sudachi_split_mode="B" )

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




    @require_sudachi
    def      _a    (    self ):
       lowerCAmelCase_:							Dict       =	SudachiTokenizer(sudachi_dict_type="core"       ,						sudachi_split_mode="C" )

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




    @require_sudachi
    def      _a    (    self ):
       lowerCAmelCase_:							List[str]       =	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      _a    (    self ):
       lowerCAmelCase_:							Union[str, Any]       =	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      _a    (    self ):
       lowerCAmelCase_:							Tuple       =	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      _a    (    self ):
       lowerCAmelCase_:							int       =	self.tokenizer_class(self.vocab_file       ,						word_tokenizer_type="jumanpp" )
       self.assertIsNotNone(lowerCamelCase__ )

       lowerCAmelCase_:							Any       =	"こんにちは、世界。\nこんばんは、世界。"
       lowerCAmelCase_:							Optional[int]       =	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[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_:							Any       =	pickle.load(lowerCamelCase__ )

       lowerCAmelCase_:							Union[str, Any]       =	tokenizer_new.tokenize(lowerCamelCase__ )

       self.assertListEqual(lowerCamelCase__       ,						lowerCamelCase__ )




    @require_jumanpp
    def      _a    (    self ):
       lowerCAmelCase_:							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      _a    (    self ):
       lowerCAmelCase_:							List[str]       =	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      _a    (    self ):
       lowerCAmelCase_:							Optional[Any]       =	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      _a    (    self ):
       lowerCAmelCase_:							List[str]       =	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      _a    (    self ):
       lowerCAmelCase_:							Any       =	JumanppTokenizer()

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




    def      _a    (    self ):
       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_:							Tuple       =	{}
       for i, token in enumerate(lowerCamelCase__ ):
          lowerCAmelCase_:							List[Any]       =	i
       lowerCAmelCase_:							List[str]       =	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      _a    (    self ):
       lowerCAmelCase_:							List[str]       =	BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp" )
       lowerCAmelCase_:							Optional[Any]       =	tokenizer.subword_tokenizer

       lowerCAmelCase_:							List[str]       =	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_:							Optional[int]       =	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      _a    (    self ):
       lowerCAmelCase_:							str       =	self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese" )

       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_:							List[Any]       =	tokenizer.build_inputs_with_special_tokens(lowerCamelCase__ )
       lowerCAmelCase_:							List[Any]       =	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 					_lowercase    (     UpperCAmelCase__ ,  unittest.TestCase			):






    '''simple docstring'''
    SCREAMING_SNAKE_CASE:				Tuple          =    BertJapaneseTokenizer
    SCREAMING_SNAKE_CASE:				Optional[Any]          =    False




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

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

       lowerCAmelCase_:							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      _a    (    self       ,						**lowerCamelCase__ ):
       return BertJapaneseTokenizer.from_pretrained(self.tmpdirname       ,						subword_tokenizer_type="character"       ,						**lowerCamelCase__ )




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




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




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




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




    def      _a    (    self ):
       lowerCAmelCase_:							str       =	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      _a    (    self ):
       lowerCAmelCase_:							Optional[Any]       =	["[UNK]", "[CLS]", "[SEP]", "こ", "ん", "に", "ち", "は", "ば", "世", "界", "、", "。"]

       lowerCAmelCase_:							List[str]       =	{}
       for i, token in enumerate(lowerCamelCase__ ):
          lowerCAmelCase_:							Optional[Any]       =	i
       lowerCAmelCase_:							List[Any]       =	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      _a    (    self ):
       lowerCAmelCase_:							Optional[Any]       =	self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char" )

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

       lowerCAmelCase_:							Dict       =	tokenizer.build_inputs_with_special_tokens(lowerCamelCase__ )
       lowerCAmelCase_:							Any       =	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 					_lowercase    (     unittest.TestCase			):






    '''simple docstring'''




    def      _a    (    self ):
       lowerCAmelCase_:							Union[str, Any]       =	"cl-tohoku/bert-base-japanese"
       lowerCAmelCase_:							Optional[int]       =	AutoTokenizer.from_pretrained(lowerCamelCase__ )
       self.assertIsInstance(lowerCamelCase__       ,						lowerCamelCase__ )





class 					_lowercase    (     unittest.TestCase			):






    '''simple docstring'''




    def      _a    (    self ):
       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_:							List[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." ) )