



import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin




class 			snake_case_						(						a_     ,unittest.TestCase				):
							__lowerCAmelCase    					=					CTRLTokenizer
							__lowerCAmelCase    					=					False
							__lowerCAmelCase    					=					False






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

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									a_     :      Union[str, Any] 						=     ["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
									a_     :      int 						=     dict(zip(a_			,     range(len(a_      )      )      )      )
									a_     :      Optional[Any] 						=     ["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
									a_     :      Optional[int] 						=     {"unk_token": "<unk>"}

									a_     :      int 						=     os.path.join(self.tmpdirname			,     VOCAB_FILES_NAMES["vocab_file"]      )
									a_     :      List[str] 						=     os.path.join(self.tmpdirname			,     VOCAB_FILES_NAMES["merges_file"]      )
									with open(self.vocab_file			,     "w"			,     encoding="utf-8"      ) as fp:
											fp.write(json.dumps(a_      ) + "\n"      )
									with open(self.merges_file			,     "w"			,     encoding="utf-8"      ) as fp:
											fp.write("\n".join(a_      )      )






							def snake_case_  (   self			,     **a_      ):
									kwargs.update(self.special_tokens_map      )
									return CTRLTokenizer.from_pretrained(self.tmpdirname			,     **a_      )






							def snake_case_  (   self			,     a_      ):
									a_     :      List[str] 						=     "adapt react readapt apt"
									a_     :      Optional[int] 						=     "adapt react readapt apt"
									return input_text, output_text






							def snake_case_  (   self      ):
									a_     :      str 						=     CTRLTokenizer(self.vocab_file			,     self.merges_file			,     **self.special_tokens_map      )
									a_     :      Any 						=     "adapt react readapt apt"
									a_     :      Dict 						=     "adapt re@@ a@@ c@@ t re@@ adapt apt".split()
									a_     :      Any 						=     tokenizer.tokenize(a_      )
									self.assertListEqual(a_			,     a_      )

									a_     :      Optional[int] 						=     tokens + [tokenizer.unk_token]

									a_     :      str 						=     [0, 1, 2, 4, 5, 1, 0, 3, 6]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(a_      )			,     a_      )




"""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 			snake_case_						(						a_     ,unittest.TestCase				):
							__lowerCAmelCase    					=					BertJapaneseTokenizer
							__lowerCAmelCase    					=					False
							__lowerCAmelCase    					=					True






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

									a_     :      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",
									    "、",
									    "##、",
									    "。",
									    "##。",
									]

									a_     :      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 snake_case_  (   self			,     a_      ):
									a_     :      Dict 						=     "こんにちは、世界。 \nこんばんは、世界。"
									a_     :      int 						=     "こんにちは 、 世界 。 こんばんは 、 世界 。"
									return input_text, output_text






							def snake_case_  (   self			,     a_      ):
									a_						,				a_     :      List[str] 						=     self.get_input_output_texts(a_      )
									a_     :      Tuple 						=     tokenizer.encode(a_			,     add_special_tokens=a_      )
									a_     :      Dict 						=     tokenizer.decode(a_			,     clean_up_tokenization_spaces=a_      )
									return text, ids






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






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






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






							def snake_case_  (   self      ):
									a_     :      int 						=     self.tokenizer_class(self.vocab_file      )

									a_     :      List[Any] 						=     tokenizer.tokenize("こんにちは、世界。\nこんばんは、世界。"      )
									self.assertListEqual(a_			,     ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]      )
									self.assertListEqual(tokenizer.convert_tokens_to_ids(a_      )			,     [3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]      )






							def snake_case_  (   self      ):
									a_     :      List[str] 						=     self.tokenizer_class(self.vocab_file			,     word_tokenizer_type="mecab"      )
									self.assertIsNotNone(a_      )

									a_     :      Union[str, Any] 						=     "こんにちは、世界。\nこんばんは、世界。"
									a_     :      Union[str, Any] 						=     tokenizer.tokenize(a_      )
									self.assertListEqual(a_			,     ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]      )
									self.assertListEqual(tokenizer.convert_tokens_to_ids(a_      )			,     [3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]      )

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

									with open(a_			,     "rb"      ) as handle:
											a_     :      Optional[Any] 						=     pickle.load(a_      )

									a_     :      int 						=     tokenizer_new.tokenize(a_      )

									self.assertListEqual(a_			,     a_      )






							def snake_case_  (   self      ):
									a_     :      Tuple 						=     MecabTokenizer(mecab_dic="ipadic"      )

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






							def snake_case_  (   self      ):
									try:
											a_     :      Dict 						=     MecabTokenizer(mecab_dic="unidic_lite"      )
									except ModuleNotFoundError:
											return

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






							def snake_case_  (   self      ):
									try:
											a_     :      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 snake_case_  (   self      ):
									a_     :      List[str] 						=     MecabTokenizer(do_lower_case=a_			,     mecab_dic="ipadic"      )

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






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

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






							def snake_case_  (   self      ):
									a_     :      List[Any] 						=     MecabTokenizer(normalize_text=a_			,     mecab_dic="ipadic"      )

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






							@require_sudachi
							def snake_case_  (   self      ):
									a_     :      int 						=     self.tokenizer_class(self.vocab_file			,     word_tokenizer_type="sudachi"      )
									self.assertIsNotNone(a_      )

									a_     :      Optional[Any] 						=     "こんにちは、世界。\nこんばんは、世界。"
									a_     :      str 						=     tokenizer.tokenize(a_      )
									self.assertListEqual(a_			,     ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]      )
									self.assertListEqual(tokenizer.convert_tokens_to_ids(a_      )			,     [3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]      )

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

									with open(a_			,     "rb"      ) as handle:
											a_     :      Optional[Any] 						=     pickle.load(a_      )

									a_     :      int 						=     tokenizer_new.tokenize(a_      )

									self.assertListEqual(a_			,     a_      )






							@require_sudachi
							def snake_case_  (   self      ):
									a_     :      int 						=     SudachiTokenizer(sudachi_dict_type="core"      )

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






							@require_sudachi
							def snake_case_  (   self      ):
									a_     :      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 snake_case_  (   self      ):
									a_     :      Union[str, 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 snake_case_  (   self      ):
									a_     :      int 						=     SudachiTokenizer(sudachi_dict_type="core"			,     sudachi_split_mode="C"      )

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






							@require_sudachi
							def snake_case_  (   self      ):
									a_     :      List[str] 						=     SudachiTokenizer(do_lower_case=a_			,     sudachi_dict_type="core"      )

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






							@require_sudachi
							def snake_case_  (   self      ):
									a_     :      str 						=     SudachiTokenizer(normalize_text=a_			,     sudachi_dict_type="core"      )

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






							@require_sudachi
							def snake_case_  (   self      ):
									a_     :      Optional[int] 						=     SudachiTokenizer(trim_whitespace=a_			,     sudachi_dict_type="core"      )

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






							@require_jumanpp
							def snake_case_  (   self      ):
									a_     :      Union[str, Any] 						=     self.tokenizer_class(self.vocab_file			,     word_tokenizer_type="jumanpp"      )
									self.assertIsNotNone(a_      )

									a_     :      Optional[int] 						=     "こんにちは、世界。\nこんばんは、世界。"
									a_     :      Any 						=     tokenizer.tokenize(a_      )
									self.assertListEqual(a_			,     ["こんにちは", "、", "世界", "。", "こん", "##ばんは", "、", "世界", "。"]      )
									self.assertListEqual(tokenizer.convert_tokens_to_ids(a_      )			,     [3, 1_2, 1_0, 1_4, 4, 9, 1_2, 1_0, 1_4]      )

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

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

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

									self.assertListEqual(a_			,     a_      )






							@require_jumanpp
							def snake_case_  (   self      ):
									a_     :      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 snake_case_  (   self      ):
									a_     :      Optional[Any] 						=     JumanppTokenizer(do_lower_case=a_      )

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






							@require_jumanpp
							def snake_case_  (   self      ):
									a_     :      int 						=     JumanppTokenizer(normalize_text=a_      )

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






							@require_jumanpp
							def snake_case_  (   self      ):
									a_     :      Optional[Any] 						=     JumanppTokenizer(trim_whitespace=a_      )

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






							@require_jumanpp
							def snake_case_  (   self      ):
									a_     :      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 snake_case_  (   self      ):
									a_     :      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"]

									a_     :      int 						=     {}
									for i, token in enumerate(a_      ):
											a_     :      Optional[int] 						=     i
									a_     :      Optional[int] 						=     WordpieceTokenizer(vocab=a_			,     unk_token="[UNK]"      )

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

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

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

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






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

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

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






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

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

									a_     :      Union[str, Any] 						=     tokenizer.build_inputs_with_special_tokens(a_      )
									a_     :      Tuple 						=     tokenizer.build_inputs_with_special_tokens(a_			,     a_      )

									# 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 			snake_case_						(						a_     ,unittest.TestCase				):
							__lowerCAmelCase    					=					BertJapaneseTokenizer
							__lowerCAmelCase    					=					False






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

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

									a_     :      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 snake_case_  (   self			,     **a_      ):
									return BertJapaneseTokenizer.from_pretrained(self.tmpdirname			,     subword_tokenizer_type="character"			,     **a_      )






							def snake_case_  (   self			,     a_      ):
									a_     :      int 						=     "こんにちは、世界。 \nこんばんは、世界。"
									a_     :      List[str] 						=     "こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"
									return input_text, output_text






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






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






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






							def snake_case_  (   self      ):
									a_     :      Dict 						=     self.tokenizer_class(self.vocab_file			,     subword_tokenizer_type="character"      )

									a_     :      int 						=     tokenizer.tokenize("こんにちは、世界。 \nこんばんは、世界。"      )
									self.assertListEqual(
									    a_			,     ["こ", "ん", "に", "ち", "は", "、", "世", "界", "。", "こ", "ん", "ば", "ん", "は", "、", "世", "界", "。"]      )
									self.assertListEqual(
									    tokenizer.convert_tokens_to_ids(a_      )			,     [3, 4, 5, 6, 7, 1_1, 9, 1_0, 1_2, 3, 4, 8, 4, 7, 1_1, 9, 1_0, 1_2]      )






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

									a_     :      Any 						=     {}
									for i, token in enumerate(a_      ):
											a_     :      str 						=     i
									a_     :      List[str] 						=     CharacterTokenizer(vocab=a_			,     unk_token="[UNK]"      )

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

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

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






							def snake_case_  (   self      ):
									a_     :      str 						=     self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char"      )

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

									a_     :      Optional[Any] 						=     tokenizer.build_inputs_with_special_tokens(a_      )
									a_     :      Any 						=     tokenizer.build_inputs_with_special_tokens(a_			,     a_      )

									# 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 			snake_case_						(						unittest.TestCase				):






							def snake_case_  (   self      ):
									a_     :      List[Any] 						=     "cl-tohoku/bert-base-japanese"
									a_     :      Dict 						=     AutoTokenizer.from_pretrained(a_      )
									self.assertIsInstance(a_			,     a_      )




class 			snake_case_						(						unittest.TestCase				):






							def snake_case_  (   self      ):
									a_     :      Any 						=     "cl-tohoku/bert-base-japanese"
									with self.assertLogs("transformers"			,     level="WARNING"      ) as cm:
											BertTokenizer.from_pretrained(a_      )
											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."      )      )
									a_     :      Any 						=     "bert-base-cased"
									with self.assertLogs("transformers"			,     level="WARNING"      ) as cm:
											BertJapaneseTokenizer.from_pretrained(a_      )
											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."      )      )