
import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


SCREAMING_SNAKE_CASE							:Dict										=    get_tests_dir('fixtures/test_sentencepiece.model')





@require_sentencepiece
@require_tokenizers
class 							UpperCAmelCase				(  __SCREAMING_SNAKE_CASE      ,      unittest.TestCase  ):




	'''simple docstring'''





	snake_case_    =					XLMRobertaTokenizer
	snake_case_    =					XLMRobertaTokenizerFast
	snake_case_    =					True
	snake_case_    =					True






	def     UpperCamelCase_  (	self :			Union[str, Any]			):
					super().setUp()

					# We have a SentencePiece fixture for testing
					__A             =			XLMRobertaTokenizer(A							,keep_accents=A			)
					tokenizer.save_pretrained(self.tmpdirname			)






	def     UpperCamelCase_  (	self :			int			):
					__A             =			"<pad>"
					__A             =			1

					self.assertEqual(self.get_tokenizer()._convert_token_to_id(A			)							,A			)
					self.assertEqual(self.get_tokenizer()._convert_id_to_token(A			)							,A			)






	def     UpperCamelCase_  (	self :			Optional[int]			):
					__A             =			list(self.get_tokenizer().get_vocab().keys()			)

					self.assertEqual(vocab_keys[0]							,"<s>"			)
					self.assertEqual(vocab_keys[1]							,"<pad>"			)
					self.assertEqual(vocab_keys[-1]							,"<mask>"			)
					self.assertEqual(len(A			)							,10_02			)






	def     UpperCamelCase_  (	self :			int			):
					self.assertEqual(self.get_tokenizer().vocab_size							,10_02			)






	def     UpperCamelCase_  (	self :			Any			):
					__A             =			XLMRobertaTokenizer(A							,keep_accents=A			)

					__A             =			tokenizer.tokenize("This is a test"			)
					self.assertListEqual(A							,["▁This", "▁is", "▁a", "▁t", "est"]			)

					self.assertListEqual(
					    tokenizer.convert_tokens_to_ids(A			)							,[value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]							,)

					__A             =			tokenizer.tokenize("I was born in 92000, and this is falsé."			)
					self.assertListEqual(
					    A							,[
					        SPIECE_UNDERLINE + "I",
					        SPIECE_UNDERLINE + "was",
					        SPIECE_UNDERLINE + "b",
					        "or",
					        "n",
					        SPIECE_UNDERLINE + "in",
					        SPIECE_UNDERLINE + "",
					        "9",
					        "2",
					        "0",
					        "0",
					        "0",
					        ",",
					        SPIECE_UNDERLINE + "and",
					        SPIECE_UNDERLINE + "this",
					        SPIECE_UNDERLINE + "is",
					        SPIECE_UNDERLINE + "f",
					        "al",
					        "s",
					        "é",
					        ".",
					    ]							,)
					__A             =			tokenizer.convert_tokens_to_ids(A			)
					self.assertListEqual(
					    A							,[
					        value + tokenizer.fairseq_offset
					        for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
					        #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
					    ]							,)

					__A             =			tokenizer.convert_ids_to_tokens(A			)
					self.assertListEqual(
					    A							,[
					        SPIECE_UNDERLINE + "I",
					        SPIECE_UNDERLINE + "was",
					        SPIECE_UNDERLINE + "b",
					        "or",
					        "n",
					        SPIECE_UNDERLINE + "in",
					        SPIECE_UNDERLINE + "",
					        "<unk>",
					        "2",
					        "0",
					        "0",
					        "0",
					        ",",
					        SPIECE_UNDERLINE + "and",
					        SPIECE_UNDERLINE + "this",
					        SPIECE_UNDERLINE + "is",
					        SPIECE_UNDERLINE + "f",
					        "al",
					        "s",
					        "<unk>",
					        ".",
					    ]							,)






	def     UpperCamelCase_  (	self :			Union[str, Any]			):
					if not self.test_slow_tokenizer:
									# as we don't have a slow version, we can't compare the outputs between slow and fast versions
									return

					__A             =			(self.rust_tokenizer_class, "hf-internal-testing/tiny-xlm-roberta", {})
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''			):
													__A             =			self.rust_tokenizer_class.from_pretrained(A							,**A			)
													__A             =			self.tokenizer_class.from_pretrained(A							,**A			)

													__A             =			tempfile.mkdtemp()

													__A             =			tokenizer_r.save_pretrained(A			)
													__A             =			tokenizer_p.save_pretrained(A			)

													# Checks it save with the same files + the tokenizer.json file for the fast one
													self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files			)			)
													__A             =			tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f			)
													self.assertSequenceEqual(A							,A			)

													# Checks everything loads correctly in the same way
													__A             =			tokenizer_r.from_pretrained(A			)
													__A             =			tokenizer_p.from_pretrained(A			)

													# Check special tokens are set accordingly on Rust and Python
													for key in tokenizer_pp.special_tokens_map:
																	self.assertTrue(hasattr(A							,A			)			)
																	# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
																	# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

													shutil.rmtree(A			)

													# Save tokenizer rust, legacy_format=True
													__A             =			tempfile.mkdtemp()

													__A             =			tokenizer_r.save_pretrained(A							,legacy_format=A			)
													__A             =			tokenizer_p.save_pretrained(A			)

													# Checks it save with the same files
													self.assertSequenceEqual(A							,A			)

													# Checks everything loads correctly in the same way
													__A             =			tokenizer_r.from_pretrained(A			)
													__A             =			tokenizer_p.from_pretrained(A			)

													# Check special tokens are set accordingly on Rust and Python
													for key in tokenizer_pp.special_tokens_map:
																	self.assertTrue(hasattr(A							,A			)			)

													shutil.rmtree(A			)

													# Save tokenizer rust, legacy_format=False
													__A             =			tempfile.mkdtemp()

													__A             =			tokenizer_r.save_pretrained(A							,legacy_format=A			)
													__A             =			tokenizer_p.save_pretrained(A			)

													# Checks it saved the tokenizer.json file
													self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files			)			)

													# Checks everything loads correctly in the same way
													__A             =			tokenizer_r.from_pretrained(A			)
													__A             =			tokenizer_p.from_pretrained(A			)

													# Check special tokens are set accordingly on Rust and Python
													for key in tokenizer_pp.special_tokens_map:
																	self.assertTrue(hasattr(A							,A			)			)

													shutil.rmtree(A			)






	@cached_property
	def     UpperCamelCase_  (	self :			List[str]			):
					return XLMRobertaTokenizer.from_pretrained("xlm-roberta-base"			)






	def     UpperCamelCase_  (	self :			int			):
					with tempfile.NamedTemporaryFile() as f:
									shutil.copyfile(A							,f.name			)
									__A             =			XLMRobertaTokenizer(f.name							,keep_accents=A			)
									__A             =			pickle.dumps(A			)
					pickle.loads(A			)






	def     UpperCamelCase_  (	self :			List[Any]			):
					if not self.test_rust_tokenizer:
									return

					__A             =			self.get_tokenizer()
					__A             =			self.get_rust_tokenizer()

					__A             =			"I was born in 92000, and this is falsé."

					__A             =			tokenizer.tokenize(A			)
					__A             =			rust_tokenizer.tokenize(A			)
					self.assertListEqual(A							,A			)

					__A             =			tokenizer.encode(A							,add_special_tokens=A			)
					__A             =			rust_tokenizer.encode(A							,add_special_tokens=A			)
					self.assertListEqual(A							,A			)

					__A             =			self.get_rust_tokenizer()
					__A             =			tokenizer.encode(A			)
					__A             =			rust_tokenizer.encode(A			)
					self.assertListEqual(A							,A			)






	@slow
	def     UpperCamelCase_  (	self :			Any			):
					__A             =			"Hello World!"
					__A             =			[0, 3_53_78, 66_61, 38, 2]
					# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
					# xlmr.eval()
					# xlmr.encode(symbols)

					self.assertListEqual(A							,self.big_tokenizer.encode(A			)			)






	@slow
	def     UpperCamelCase_  (	self :			Union[str, Any]			):
					__A             =			(
					    "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
					    " add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"
					)
					__A             =			[
					    0,
					    32_93,
					    83,
					    10,
					    45_52,
					    49_89,
					    79_86,
					    6_78,
					    10,
					    59_15,
					    1_11,
					    17_94_59,
					    12_48_50,
					    4,
					    60_44,
					    2_37,
					    12,
					    6,
					    5,
					    6,
					    4,
					    67_80,
					    7_05,
					    15,
					    13_88,
					    44,
					    3_78,
					    1_01_14,
					    7_11,
					    1_52,
					    20,
					    6,
					    5,
					    2_23_76,
					    6_42,
					    12_21,
					    1_51_90,
					    3_41_53,
					    4_50,
					    56_08,
					    9_59,
					    11_19,
					    5_77_02,
					    1_36,
					    1_86,
					    47,
					    10_98,
					    2_93_67,
					    47,
					    # 4426, # What fairseq tokenizes from "<unk>": "_<"
					    # 3678, # What fairseq tokenizes from "<unk>": "unk"
					    # 2740, # What fairseq tokenizes from "<unk>": ">"
					    3,  # What we tokenize from "<unk>": "<unk>"
					    6,  # Residue from the tokenization: an extra sentencepiece underline
					    4,
					    60_44,
					    2_37,
					    62_84,
					    5_09_01,
					    5_28,
					    31,
					    90,
					    34,
					    9_27,
					    2,
					]
					# xlmr = torch.hub.load('pytorch/fairseq', 'xlmr.base')  # xlmr.large has same tokenizer
					# xlmr.eval()
					# xlmr.encode(symbols)

					self.assertListEqual(A							,self.big_tokenizer.encode(A			)			)







	@slow
	def     UpperCamelCase_  (	self :			Tuple			):
					# fmt: off
					__A             =			{"input_ids": [[0, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 54_28, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 1_23_99, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 27_89, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 8_05, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [0, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
					# fmt: on

					self.tokenizer_integration_test_util(
					    expected_encoding=A							,model_name="xlm-roberta-base"							,revision="d9d8a8ea5eb94b1c6654ae9249df7793cd2933d3"							,)


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				(  __SCREAMING_SNAKE_CASE      ,      unittest.TestCase  ):




	'''simple docstring'''





	snake_case_    =					BertJapaneseTokenizer
	snake_case_    =					False
	snake_case_    =					True






	def     UpperCamelCase_  (	self :			List[Any]			):
					super().setUp()

					__A             =			[
					    "[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             =			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     UpperCamelCase_  (	self :			Union[str, Any]							,A :			Optional[Any]			):
					__A             =			"こんにちは、世界。 \nこんばんは、世界。"
					__A             =			"こんにちは 、 世界 。 こんばんは 、 世界 。"
					return input_text, output_text






	def     UpperCamelCase_  (	self :			Any							,A :			Optional[int]			):
					__A      ,							__A             =			self.get_input_output_texts(A			)
					__A             =			tokenizer.encode(A							,add_special_tokens=A			)
					__A             =			tokenizer.decode(A							,clean_up_tokenization_spaces=A			)
					return text, ids






	def     UpperCamelCase_  (	self :			int			):
					pass  # TODO add if relevant






	def     UpperCamelCase_  (	self :			int			):
					pass  # TODO add if relevant






	def     UpperCamelCase_  (	self :			Optional[int]			):
					pass  # TODO add if relevant






	def     UpperCamelCase_  (	self :			List[Any]			):
					__A             =			self.tokenizer_class(self.vocab_file			)

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






	def     UpperCamelCase_  (	self :			int			):
					__A             =			self.tokenizer_class(self.vocab_file							,word_tokenizer_type="mecab"			)
					self.assertIsNotNone(A			)

					__A             =			"こんにちは、世界。\nこんばんは、世界。"
					__A             =			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, 12, 10, 14, 4, 9, 12, 10, 14]			)

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

					with open(A							,"rb"			) as handle:
									__A             =			pickle.load(A			)

					__A             =			tokenizer_new.tokenize(A			)

					self.assertListEqual(A							,A			)






	def     UpperCamelCase_  (	self :			Any			):
					__A             =			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     UpperCamelCase_  (	self :			List[str]			):
					try:
									__A             =			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     UpperCamelCase_  (	self :			Tuple			):
					try:
									__A             =			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     UpperCamelCase_  (	self :			Tuple			):
					__A             =			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     UpperCamelCase_  (	self :			Any			):
					try:
									__A             =			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     UpperCamelCase_  (	self :			int			):
					__A             =			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     UpperCamelCase_  (	self :			int			):
					__A             =			self.tokenizer_class(self.vocab_file							,word_tokenizer_type="sudachi"			)
					self.assertIsNotNone(A			)

					__A             =			"こんにちは、世界。\nこんばんは、世界。"
					__A             =			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, 12, 10, 14, 4, 9, 12, 10, 14]			)

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

					with open(A							,"rb"			) as handle:
									__A             =			pickle.load(A			)

					__A             =			tokenizer_new.tokenize(A			)

					self.assertListEqual(A							,A			)






	@require_sudachi
	def     UpperCamelCase_  (	self :			Optional[int]			):
					__A             =			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     UpperCamelCase_  (	self :			List[Any]			):
					__A             =			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     UpperCamelCase_  (	self :			int			):
					__A             =			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     UpperCamelCase_  (	self :			Tuple			):
					__A             =			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     UpperCamelCase_  (	self :			int			):
					__A             =			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     UpperCamelCase_  (	self :			List[str]			):
					__A             =			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     UpperCamelCase_  (	self :			str			):
					__A             =			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     UpperCamelCase_  (	self :			Optional[Any]			):
					__A             =			self.tokenizer_class(self.vocab_file							,word_tokenizer_type="jumanpp"			)
					self.assertIsNotNone(A			)

					__A             =			"こんにちは、世界。\nこんばんは、世界。"
					__A             =			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, 12, 10, 14, 4, 9, 12, 10, 14]			)

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

					with open(A							,"rb"			) as handle:
									__A             =			pickle.load(A			)

					__A             =			tokenizer_new.tokenize(A			)

					self.assertListEqual(A							,A			)






	@require_jumanpp
	def     UpperCamelCase_  (	self :			int			):
					__A             =			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     UpperCamelCase_  (	self :			str			):
					__A             =			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     UpperCamelCase_  (	self :			Any			):
					__A             =			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     UpperCamelCase_  (	self :			List[str]			):
					__A             =			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     UpperCamelCase_  (	self :			Dict			):
					__A             =			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     UpperCamelCase_  (	self :			str			):
					__A             =			["[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             =			{}
					for i, token in enumerate(A			):
									__A             =			i
					__A             =			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     UpperCamelCase_  (	self :			Any			):
					__A             =			BertJapaneseTokenizer.from_pretrained("nlp-waseda/roberta-base-japanese-with-auto-jumanpp"			)
					__A             =			tokenizer.subword_tokenizer

					__A             =			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             =			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     UpperCamelCase_  (	self :			int			):
					__A             =			self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese"			)

					__A             =			tokenizer.encode("ありがとう。"							,add_special_tokens=A			)
					__A             =			tokenizer.encode("どういたしまして。"							,add_special_tokens=A			)

					__A             =			tokenizer.build_inputs_with_special_tokens(A			)
					__A             =			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 							UpperCAmelCase				(  __SCREAMING_SNAKE_CASE      ,      unittest.TestCase  ):




	'''simple docstring'''





	snake_case_    =					BertJapaneseTokenizer
	snake_case_    =					False






	def     UpperCamelCase_  (	self :			Any			):
					super().setUp()

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

					__A             =			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     UpperCamelCase_  (	self :			int							,**A :			str			):
					return BertJapaneseTokenizer.from_pretrained(self.tmpdirname							,subword_tokenizer_type="character"							,**A			)






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






	def     UpperCamelCase_  (	self :			str			):
					pass  # TODO add if relevant






	def     UpperCamelCase_  (	self :			Optional[Any]			):
					pass  # TODO add if relevant






	def     UpperCamelCase_  (	self :			Any			):
					pass  # TODO add if relevant






	def     UpperCamelCase_  (	self :			str			):
					__A             =			self.tokenizer_class(self.vocab_file							,subword_tokenizer_type="character"			)

					__A             =			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, 11, 9, 10, 12, 3, 4, 8, 4, 7, 11, 9, 10, 12]			)






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

					__A             =			{}
					for i, token in enumerate(A			):
									__A             =			i
					__A             =			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     UpperCamelCase_  (	self :			Tuple			):
					__A             =			self.tokenizer_class.from_pretrained("cl-tohoku/bert-base-japanese-char"			)

					__A             =			tokenizer.encode("ありがとう。"							,add_special_tokens=A			)
					__A             =			tokenizer.encode("どういたしまして。"							,add_special_tokens=A			)

					__A             =			tokenizer.build_inputs_with_special_tokens(A			)
					__A             =			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 							UpperCAmelCase				(  unittest.TestCase  ):




	'''simple docstring'''





	def     UpperCamelCase_  (	self :			int			):
					__A             =			"cl-tohoku/bert-base-japanese"
					__A             =			AutoTokenizer.from_pretrained(A			)
					self.assertIsInstance(A							,A			)





class 							UpperCAmelCase				(  unittest.TestCase  ):




	'''simple docstring'''





	def     UpperCamelCase_  (	self :			Tuple			):
					__A             =			"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             =			"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."			)			)
