

"""simple docstring"""




import json
import os
import unittest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class  lowerCamelCase    (A__      ,unittest.TestCase      ):
			lowerCamelCase__ :		Dict       		=				CLIPTokenizer
			lowerCamelCase__ :		Tuple       		=				CLIPTokenizerFast
			lowerCamelCase__ :		List[str]       		=				True
			lowerCamelCase__ :		Optional[Any]       		=				{}
			lowerCamelCase__ :		List[Any]       		=				False

			def        SCREAMING_SNAKE_CASE					(       self					:    Any							) ->     int:
						super().setUp()

						# fmt: off
						SCREAMING_SNAKE_CASE__										=   ["""l""", """o""", """w""", """e""", """r""", """s""", """t""", """i""", """d""", """n""", """lo""", """l</w>""", """w</w>""", """r</w>""", """t</w>""", """low</w>""", """er</w>""", """lowest</w>""", """newer</w>""", """wider""", """<unk>""", """<|startoftext|>""", """<|endoftext|>"""]
						# fmt: on
						SCREAMING_SNAKE_CASE__										=   dict(zip(__UpperCAmelCase     ,					range(len(__UpperCAmelCase							)							)							)							)
						SCREAMING_SNAKE_CASE__										=   ["""#version: 0.2""", """l o""", """lo w</w>""", """e r</w>"""]
						SCREAMING_SNAKE_CASE__										=   {"""unk_token""": """<unk>"""}

						SCREAMING_SNAKE_CASE__										=   os.path.join(self.tmpdirname     ,					VOCAB_FILES_NAMES["""vocab_file"""]							)
						SCREAMING_SNAKE_CASE__										=   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(__UpperCAmelCase							) + """\n"""							)
						with open(self.merges_file     ,					"""w"""     ,					encoding="""utf-8"""							) as fp:
									fp.write("""\n""".join(__UpperCAmelCase							)							)

			def        SCREAMING_SNAKE_CASE					(       self					:    Union[str, Any]     ,					**__UpperCAmelCase					:    Any							) ->     int:
						kwargs.update(self.special_tokens_map							)
						return CLIPTokenizer.from_pretrained(self.tmpdirname     ,					**__UpperCAmelCase							)

			def        SCREAMING_SNAKE_CASE					(       self					:    List[Any]     ,					**__UpperCAmelCase					:    Optional[Any]							) ->     List[str]:
						kwargs.update(self.special_tokens_map							)
						return CLIPTokenizerFast.from_pretrained(self.tmpdirname     ,					**__UpperCAmelCase							)

			def        SCREAMING_SNAKE_CASE					(       self					:    Tuple     ,					__UpperCAmelCase					:    List[Any]							) ->     Tuple:
						SCREAMING_SNAKE_CASE__										=   """lower newer"""
						SCREAMING_SNAKE_CASE__										=   """lower newer"""
						return input_text, output_text

			def        SCREAMING_SNAKE_CASE					(       self					:    Union[str, Any]							) ->     Tuple:
						SCREAMING_SNAKE_CASE__										=   CLIPTokenizer(self.vocab_file     ,					self.merges_file     ,					**self.special_tokens_map							)
						SCREAMING_SNAKE_CASE__										=   """lower newer"""
						SCREAMING_SNAKE_CASE__										=   ["""lo""", """w""", """er</w>""", """n""", """e""", """w""", """er</w>"""]
						SCREAMING_SNAKE_CASE__										=   tokenizer.tokenize(__UpperCAmelCase							)
						self.assertListEqual(__UpperCAmelCase     ,					__UpperCAmelCase							)

						SCREAMING_SNAKE_CASE__										=   tokens + [tokenizer.unk_token]
						SCREAMING_SNAKE_CASE__										=   [1_0, 2, 1_6, 9, 3, 2, 1_6, 2_0]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase							)     ,					__UpperCAmelCase							)

			@require_ftfy
			def        SCREAMING_SNAKE_CASE					(       self					:    Any							) ->     Tuple:
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
												SCREAMING_SNAKE_CASE__										=   self.tokenizer_class.from_pretrained(__UpperCAmelCase     ,					**__UpperCAmelCase							)
												SCREAMING_SNAKE_CASE__										=   self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase     ,					**__UpperCAmelCase							)

												SCREAMING_SNAKE_CASE__										=   """A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."""
												SCREAMING_SNAKE_CASE__										=   tokenizer_s.tokenize(__UpperCAmelCase							)
												SCREAMING_SNAKE_CASE__										=   tokenizer_r.tokenize(__UpperCAmelCase							)

												self.assertListEqual(__UpperCAmelCase     ,					__UpperCAmelCase							)

												# Test that the tokenization is identical on an example containing a character (Latin Small Letter A
												# with Tilde) encoded in 2 different ways
												SCREAMING_SNAKE_CASE__										=   """xa\u0303y""" + """ """ + """x\xe3y"""
												SCREAMING_SNAKE_CASE__										=   tokenizer_s.tokenize(__UpperCAmelCase							)
												SCREAMING_SNAKE_CASE__										=   tokenizer_r.tokenize(__UpperCAmelCase							)

												self.assertListEqual(__UpperCAmelCase     ,					__UpperCAmelCase							)

												# Test that the tokenization is identical on unicode of space type
												SCREAMING_SNAKE_CASE__										=   [
												    """\u0009""",  # (horizontal tab, '\t')
												    """\u000B""",  # (vertical tab)
												    """\u000C""",  # (form feed)
												    """\u0020""",  # (space, ' ')
												    """\u200E""",  # (left-to-right mark):w
												    """\u200F""",  # (right-to-left mark)
												]
												for unicode_seq in spaces_unicodes:
															SCREAMING_SNAKE_CASE__										=   tokenizer_s.tokenize(__UpperCAmelCase							)
															SCREAMING_SNAKE_CASE__										=   tokenizer_r.tokenize(__UpperCAmelCase							)

															self.assertListEqual(__UpperCAmelCase     ,					__UpperCAmelCase							)

												# Test that the tokenization is identical on unicode of line break type
												SCREAMING_SNAKE_CASE__										=   [
												    """\u000A""",  # (line feed, '\n')
												    """\r\n""",  # (carriage return and line feed, '\r\n')
												    """\u000D""",  # (carriage return, '\r')
												    """\r""",  # (carriage return, '\r')
												    """\u000D""",  # (carriage return, '\r')
												    """\u2028""",  # (line separator)
												    """\u2029""",  # (paragraph separator)
												    # "\u0085", # (next line)
												]

												# The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
												# it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
												# space (and thus into an empty list).

												for unicode_seq in line_break_unicodes:
															SCREAMING_SNAKE_CASE__										=   tokenizer_s.tokenize(__UpperCAmelCase							)
															SCREAMING_SNAKE_CASE__										=   tokenizer_r.tokenize(__UpperCAmelCase							)

															self.assertListEqual(__UpperCAmelCase     ,					__UpperCAmelCase							)

			def        SCREAMING_SNAKE_CASE					(       self					:    Dict							) ->     str:
						# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space`
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
												SCREAMING_SNAKE_CASE__										=   """hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
												SCREAMING_SNAKE_CASE__										=   F"""{text_of_1_token} {text_of_1_token}"""

												SCREAMING_SNAKE_CASE__										=   self.rust_tokenizer_class.from_pretrained(
												    __UpperCAmelCase     ,					use_fast=__UpperCAmelCase     ,					)
												SCREAMING_SNAKE_CASE__										=   tokenizer_r(__UpperCAmelCase     ,					return_offsets_mapping=__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase							)
												self.assertEqual(encoding.offset_mapping[0]     ,					(0, len(__UpperCAmelCase							))							)
												self.assertEqual(
												    encoding.offset_mapping[1]     ,					(len(__UpperCAmelCase							) + 1, len(__UpperCAmelCase							) + 1 + len(__UpperCAmelCase							))     ,					)

												SCREAMING_SNAKE_CASE__										=   F""" {text}"""

												SCREAMING_SNAKE_CASE__										=   self.rust_tokenizer_class.from_pretrained(
												    __UpperCAmelCase     ,					use_fast=__UpperCAmelCase     ,					)
												SCREAMING_SNAKE_CASE__										=   tokenizer_r(__UpperCAmelCase     ,					return_offsets_mapping=__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase							)
												self.assertEqual(encoding.offset_mapping[0]     ,					(1, 1 + len(__UpperCAmelCase							))							)
												self.assertEqual(
												    encoding.offset_mapping[1]     ,					(1 + len(__UpperCAmelCase							) + 1, 1 + len(__UpperCAmelCase							) + 1 + len(__UpperCAmelCase							))     ,					)

			def        SCREAMING_SNAKE_CASE					(       self					:    str							) ->     Union[str, Any]:
						# Test related to the breaking change introduced in transformers v4.17.0
						# We need to check that an error in raised when the user try to load a previous version of the tokenizer.
						with self.assertRaises(__UpperCAmelCase							) as context:
									self.rust_tokenizer_class.from_pretrained("""robot-test/old-clip-tokenizer"""							)

						self.assertTrue(
						    context.exception.args[0].startswith(
						        """The `backend_tokenizer` provided does not match the expected format."""							)							)

			@require_ftfy
			def        SCREAMING_SNAKE_CASE					(       self					:    Dict							) ->     Dict:
						super().test_tokenization_python_rust_equals()





			def        SCREAMING_SNAKE_CASE					(       self					:    List[Any]							) ->     Tuple:
						# CLIP always lower cases letters
						pass





"""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  lowerCamelCase    (A__      ,unittest.TestCase      ):
			lowerCamelCase__ :		Union[str, Any]       		=				BertJapaneseTokenizer
			lowerCamelCase__ :		str       		=				False
			lowerCamelCase__ :		Optional[int]       		=				True

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

						SCREAMING_SNAKE_CASE__										=   [
						    """[UNK]""",
						    """[CLS]""",
						    """[SEP]""",
						    """こんにちは""",
						    """こん""",
						    """にちは""",
						    """ばんは""",
						    """##こん""",
						    """##にちは""",
						    """##ばんは""",
						    """世界""",
						    """##世界""",
						    """、""",
						    """##、""",
						    """。""",
						    """##。""",
						]

						SCREAMING_SNAKE_CASE__										=   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]     ,					__UpperCAmelCase					:    Optional[int]							) ->     Tuple:
						SCREAMING_SNAKE_CASE__										=   """こんにちは、世界。 \nこんばんは、世界。"""
						SCREAMING_SNAKE_CASE__										=   """こんにちは 、 世界 。 こんばんは 、 世界 。"""
						return input_text, output_text

			def        SCREAMING_SNAKE_CASE					(       self					:    Union[str, Any]     ,					__UpperCAmelCase					:    Union[str, Any]							) ->     int:
						SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__										=   self.get_input_output_texts(__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__										=   tokenizer.encode(__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__										=   tokenizer.decode(__UpperCAmelCase     ,					clean_up_tokenization_spaces=__UpperCAmelCase							)
						return text, ids

			def        SCREAMING_SNAKE_CASE					(       self					:    Any							) ->     Dict:
						pass  # TODO add if relevant

			def        SCREAMING_SNAKE_CASE					(       self					:    int							) ->     Tuple:
						pass  # TODO add if relevant

			def        SCREAMING_SNAKE_CASE					(       self					:    str							) ->     Dict:
						pass  # TODO add if relevant

			def        SCREAMING_SNAKE_CASE					(       self					:    List[Any]							) ->     Union[str, Any]:
						SCREAMING_SNAKE_CASE__										=   self.tokenizer_class(self.vocab_file							)

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

			def        SCREAMING_SNAKE_CASE					(       self					:    int							) ->     Optional[Any]:
						SCREAMING_SNAKE_CASE__										=   self.tokenizer_class(self.vocab_file     ,					word_tokenizer_type="""mecab"""							)
						self.assertIsNotNone(__UpperCAmelCase							)

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

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

						with open(__UpperCAmelCase     ,					"""rb"""							) as handle:
									SCREAMING_SNAKE_CASE__										=   pickle.load(__UpperCAmelCase							)

						SCREAMING_SNAKE_CASE__										=   tokenizer_new.tokenize(__UpperCAmelCase							)

						self.assertListEqual(__UpperCAmelCase     ,					__UpperCAmelCase							)

			def        SCREAMING_SNAKE_CASE					(       self					:    List[str]							) ->     int:
						SCREAMING_SNAKE_CASE__										=   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					:    Optional[Any]							) ->     Union[str, Any]:
						try:
									SCREAMING_SNAKE_CASE__										=   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					:    List[str]							) ->     Dict:
						try:
									SCREAMING_SNAKE_CASE__										=   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[Any]							) ->     Optional[Any]:
						SCREAMING_SNAKE_CASE__										=   MecabTokenizer(do_lower_case=__UpperCAmelCase     ,					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					:    str							) ->     List[str]:
						try:
									SCREAMING_SNAKE_CASE__										=   MecabTokenizer(
									    do_lower_case=__UpperCAmelCase     ,					normalize_text=__UpperCAmelCase     ,					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					:    List[str]							) ->     Optional[int]:
						SCREAMING_SNAKE_CASE__										=   MecabTokenizer(normalize_text=__UpperCAmelCase     ,					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							) ->     List[str]:
						SCREAMING_SNAKE_CASE__										=   self.tokenizer_class(self.vocab_file     ,					word_tokenizer_type="""sudachi"""							)
						self.assertIsNotNone(__UpperCAmelCase							)

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

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

						with open(__UpperCAmelCase     ,					"""rb"""							) as handle:
									SCREAMING_SNAKE_CASE__										=   pickle.load(__UpperCAmelCase							)

						SCREAMING_SNAKE_CASE__										=   tokenizer_new.tokenize(__UpperCAmelCase							)

						self.assertListEqual(__UpperCAmelCase     ,					__UpperCAmelCase							)

			@require_sudachi
			def        SCREAMING_SNAKE_CASE					(       self					:    List[str]							) ->     Dict:
						SCREAMING_SNAKE_CASE__										=   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					:    Optional[int]							) ->     List[Any]:
						SCREAMING_SNAKE_CASE__										=   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					:    int							) ->     List[str]:
						SCREAMING_SNAKE_CASE__										=   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					:    Union[str, Any]							) ->     Optional[int]:
						SCREAMING_SNAKE_CASE__										=   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					:    Union[str, Any]							) ->     List[str]:
						SCREAMING_SNAKE_CASE__										=   SudachiTokenizer(do_lower_case=__UpperCAmelCase     ,					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					:    Tuple							) ->     str:
						SCREAMING_SNAKE_CASE__										=   SudachiTokenizer(normalize_text=__UpperCAmelCase     ,					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							) ->     List[Any]:
						SCREAMING_SNAKE_CASE__										=   SudachiTokenizer(trim_whitespace=__UpperCAmelCase     ,					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					:    Optional[Any]							) ->     Dict:
						SCREAMING_SNAKE_CASE__										=   self.tokenizer_class(self.vocab_file     ,					word_tokenizer_type="""jumanpp"""							)
						self.assertIsNotNone(__UpperCAmelCase							)

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

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

						with open(__UpperCAmelCase     ,					"""rb"""							) as handle:
									SCREAMING_SNAKE_CASE__										=   pickle.load(__UpperCAmelCase							)

						SCREAMING_SNAKE_CASE__										=   tokenizer_new.tokenize(__UpperCAmelCase							)

						self.assertListEqual(__UpperCAmelCase     ,					__UpperCAmelCase							)

			@require_jumanpp
			def        SCREAMING_SNAKE_CASE					(       self					:    int							) ->     List[str]:
						SCREAMING_SNAKE_CASE__										=   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					:    Optional[int]							) ->     int:
						SCREAMING_SNAKE_CASE__										=   JumanppTokenizer(do_lower_case=__UpperCAmelCase							)

						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					:    Any							) ->     Union[str, Any]:
						SCREAMING_SNAKE_CASE__										=   JumanppTokenizer(normalize_text=__UpperCAmelCase							)

						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					:    Optional[int]							) ->     List[str]:
						SCREAMING_SNAKE_CASE__										=   JumanppTokenizer(trim_whitespace=__UpperCAmelCase							)

						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]:
						SCREAMING_SNAKE_CASE__										=   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					:    Any							) ->     List[str]:
						SCREAMING_SNAKE_CASE__										=   ["""[UNK]""", """[CLS]""", """[SEP]""", """こんにちは""", """こん""", """にちは""", """ばんは""", """##こん""", """##にちは""", """##ばんは"""]

						SCREAMING_SNAKE_CASE__										=   {}
						for i, token in enumerate(__UpperCAmelCase							):
									SCREAMING_SNAKE_CASE__										=   i
						SCREAMING_SNAKE_CASE__										=   WordpieceTokenizer(vocab=__UpperCAmelCase     ,					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					:    List[Any]							) ->     List[Any]:
						SCREAMING_SNAKE_CASE__										=   BertJapaneseTokenizer.from_pretrained("""nlp-waseda/roberta-base-japanese-with-auto-jumanpp"""							)
						SCREAMING_SNAKE_CASE__										=   tokenizer.subword_tokenizer

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

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





			def        SCREAMING_SNAKE_CASE					(       self					:    Optional[int]							) ->     Any:
						SCREAMING_SNAKE_CASE__										=   self.tokenizer_class.from_pretrained("""cl-tohoku/bert-base-japanese"""							)

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

						SCREAMING_SNAKE_CASE__										=   tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__										=   tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase     ,					__UpperCAmelCase							)

						# 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  lowerCamelCase    (A__      ,unittest.TestCase      ):
			lowerCamelCase__ :		Dict       		=				BertJapaneseTokenizer
			lowerCamelCase__ :		Tuple       		=				False

			def        SCREAMING_SNAKE_CASE					(       self					:    int							) ->     List[Any]:
						super().setUp()

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

						SCREAMING_SNAKE_CASE__										=   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]     ,					**__UpperCAmelCase					:    List[Any]							) ->     List[Any]:
						return BertJapaneseTokenizer.from_pretrained(self.tmpdirname     ,					subword_tokenizer_type="""character"""     ,					**__UpperCAmelCase							)

			def        SCREAMING_SNAKE_CASE					(       self					:    Any     ,					__UpperCAmelCase					:    Any							) ->     List[Any]:
						SCREAMING_SNAKE_CASE__										=   """こんにちは、世界。 \nこんばんは、世界。"""
						SCREAMING_SNAKE_CASE__										=   """こ ん に ち は 、 世 界 。 こ ん ば ん は 、 世 界 。"""
						return input_text, output_text

			def        SCREAMING_SNAKE_CASE					(       self					:    str							) ->     Dict:
						pass  # TODO add if relevant

			def        SCREAMING_SNAKE_CASE					(       self					:    str							) ->     Optional[Any]:
						pass  # TODO add if relevant

			def        SCREAMING_SNAKE_CASE					(       self					:    Union[str, Any]							) ->     Union[str, Any]:
						pass  # TODO add if relevant

			def        SCREAMING_SNAKE_CASE					(       self					:    Any							) ->     Any:
						SCREAMING_SNAKE_CASE__										=   self.tokenizer_class(self.vocab_file     ,					subword_tokenizer_type="""character"""							)

						SCREAMING_SNAKE_CASE__										=   tokenizer.tokenize("""こんにちは、世界。 \nこんばんは、世界。"""							)
						self.assertListEqual(
						    __UpperCAmelCase     ,					["""こ""", """ん""", """に""", """ち""", """は""", """、""", """世""", """界""", """。""", """こ""", """ん""", """ば""", """ん""", """は""", """、""", """世""", """界""", """。"""]							)
						self.assertListEqual(
						    tokenizer.convert_tokens_to_ids(__UpperCAmelCase							)     ,					[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        SCREAMING_SNAKE_CASE					(       self					:    Dict							) ->     List[Any]:
						SCREAMING_SNAKE_CASE__										=   ["""[UNK]""", """[CLS]""", """[SEP]""", """こ""", """ん""", """に""", """ち""", """は""", """ば""", """世""", """界""", """、""", """。"""]

						SCREAMING_SNAKE_CASE__										=   {}
						for i, token in enumerate(__UpperCAmelCase							):
									SCREAMING_SNAKE_CASE__										=   i
						SCREAMING_SNAKE_CASE__										=   CharacterTokenizer(vocab=__UpperCAmelCase     ,					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					:    Any							) ->     str:
						SCREAMING_SNAKE_CASE__										=   self.tokenizer_class.from_pretrained("""cl-tohoku/bert-base-japanese-char"""							)

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

						SCREAMING_SNAKE_CASE__										=   tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase							)
						SCREAMING_SNAKE_CASE__										=   tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase     ,					__UpperCAmelCase							)

						# 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  lowerCamelCase    (unittest.TestCase      ):

			def        SCREAMING_SNAKE_CASE					(       self					:    Optional[int]							) ->     Dict:
						SCREAMING_SNAKE_CASE__										=   """cl-tohoku/bert-base-japanese"""
						SCREAMING_SNAKE_CASE__										=   AutoTokenizer.from_pretrained(__UpperCAmelCase							)
						self.assertIsInstance(__UpperCAmelCase     ,					__UpperCAmelCase							)





class  lowerCamelCase    (unittest.TestCase      ):

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


