





import os
import re
import warnings
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
					from .tokenization_ta import TaTokenizer
else:
					A       :   Dict					= None


A       :   Optional[Any]					= logging.get_logger(__name__)

A       :   Optional[Any]					= {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

A       :   Union[str, Any]					= {
    """vocab_file""": {
        """t5-small""": """https://huggingface.co/t5-small/resolve/main/spiece.model""",
        """t5-base""": """https://huggingface.co/t5-base/resolve/main/spiece.model""",
        """t5-large""": """https://huggingface.co/t5-large/resolve/main/spiece.model""",
        """t5-3b""": """https://huggingface.co/t5-3b/resolve/main/spiece.model""",
        """t5-11b""": """https://huggingface.co/t5-11b/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """t5-small""": """https://huggingface.co/t5-small/resolve/main/tokenizer.json""",
        """t5-base""": """https://huggingface.co/t5-base/resolve/main/tokenizer.json""",
        """t5-large""": """https://huggingface.co/t5-large/resolve/main/tokenizer.json""",
        """t5-3b""": """https://huggingface.co/t5-3b/resolve/main/tokenizer.json""",
        """t5-11b""": """https://huggingface.co/t5-11b/resolve/main/tokenizer.json""",
    },
}


# TODO(PVP) - this should be removed in Transformers v5
A       :   Tuple					= {
    """t5-small""": 5_1_2,
    """t5-base""": 5_1_2,
    """t5-large""": 5_1_2,
    """t5-3b""": 5_1_2,
    """t5-11b""": 5_1_2,
}


class     A     (_a       ):
			'''simple docstring'''




			__lowerCamelCase      :			Dict							     =       VOCAB_FILES_NAMES
			__lowerCamelCase      :			Any							     =       PRETRAINED_VOCAB_FILES_MAP
			__lowerCamelCase      :			Tuple							     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__lowerCamelCase      :			Tuple							     =       ["input_ids", "attention_mask"]
			__lowerCamelCase      :			Any							     =       TaTokenizer

			__lowerCamelCase      :			List[int]							     =       []






			def __init__(     self  :       Tuple				,      __lowerCAmelCase  :       Tuple=None				,      __lowerCAmelCase  :       str=None				,      __lowerCAmelCase  :       Optional[int]="</s>"				,      __lowerCAmelCase  :       Optional[Any]="<unk>"				,      __lowerCAmelCase  :       int="<pad>"				,      __lowerCAmelCase  :       int=1_00				,      __lowerCAmelCase  :       List[str]=None				,      **__lowerCAmelCase  :       Tuple				,      )      ->      Tuple:







					"""simple docstring"""






					if extra_ids > 0 and additional_special_tokens is None:
							A__     =  [f'<extra_id_{i}>' for i in range(__lowerCamelCase  )]
					elif extra_ids > 0 and additional_special_tokens is not None:
							# Check that we have the right number of extra special tokens
							A__     =  len(set(filter(lambda __lowerCAmelCase  : bool("""extra_id_""" in str(__lowerCamelCase  )  )				,      __lowerCamelCase  )  )  )
							if extra_tokens != extra_ids:
									raise ValueError(
									    f'Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'
									    """ provided to T5Tokenizer. In this case the additional_special_tokens must include the extra_ids"""
									    """ tokens"""  )

					super().__init__(
					    __lowerCamelCase				,      tokenizer_file=__lowerCamelCase				,      eos_token=__lowerCamelCase				,      unk_token=__lowerCamelCase				,      pad_token=__lowerCamelCase				,      extra_ids=__lowerCamelCase				,      additional_special_tokens=__lowerCamelCase				,      **__lowerCamelCase				,      )

					A__     =  vocab_file
					A__     =  False if not self.vocab_file else True
					A__     =  extra_ids






			@staticmethod
			def   a_			(     __lowerCAmelCase  :       Dict				,      __lowerCAmelCase  :       List[str]				,      __lowerCAmelCase  :       Any  )      ->      str:







					"""simple docstring"""






					if pretrained_model_name_or_path in TaTokenizerFast.max_model_input_sizes:
							A__     =  TaTokenizerFast.max_model_input_sizes[pretrained_model_name_or_path]
							if init_max_model_length is not None and init_max_model_length != max_model_length:
									return init_max_model_length
							elif init_max_model_length is None:
									warnings.warn(
									    """This tokenizer was incorrectly instantiated with a model max length of"""
									    f' {deprecated_max_model_length} which will be corrected in Transformers v5.\nFor now, this'
									    """ behavior is kept to avoid breaking backwards compatibility when padding/encoding with"""
									    """ `truncation is True`.\n- Be aware that you SHOULD NOT rely on"""
									    f' {pretrained_model_name_or_path} automatically truncating your input to'
									    f' {deprecated_max_model_length} when padding/encoding.\n- If you want to encode/pad to sequences'
									    f' longer than {deprecated_max_model_length} you can either instantiate this tokenizer with'
									    """ `model_max_length` or pass `max_length` when encoding/padding.\n- To avoid this warning, please"""
									    """ instantiate this tokenizer with `model_max_length` set to your preferred value."""				,      __lowerCamelCase				,      )

					return max_model_length






			def   a_			(     self  :       int				,      __lowerCAmelCase  :       str				,      __lowerCAmelCase  :       Optional[str] = None  )      ->      List[str]:







					"""simple docstring"""






					if not self.can_save_slow_tokenizer:
							raise ValueError(
							    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
							    """tokenizer."""  )

					if not os.path.isdir(__lowerCamelCase  ):
							logger.error(f'Vocabulary path ({save_directory}) should be a directory'  )
							return
					A__     =  os.path.join(
					    __lowerCamelCase				,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )

					if os.path.abspath(self.vocab_file  ) != os.path.abspath(__lowerCamelCase  ):
							copyfile(self.vocab_file				,      __lowerCamelCase  )
							logger.info(f'Copy vocab file to {out_vocab_file}'  )

					return (out_vocab_file,)






			def   a_			(     self  :       Optional[Any]				,      __lowerCAmelCase  :       List[int]				,      __lowerCAmelCase  :       Optional[List[int]] = None  )      ->      Dict:







					"""simple docstring"""






					A__     =  token_ids_a + [self.eos_token_id]
					if token_ids_a is None:
							return self.prefix_tokens + token_ids_a
					else:
							A__     =  token_ids_a + [self.eos_token_id]
							return self.prefix_tokens + token_ids_a + token_ids_a






			def   a_			(     self  :       int				,      __lowerCAmelCase  :       List[int]				,      __lowerCAmelCase  :       Optional[List[int]] = None  )      ->      Optional[Any]:







					"""simple docstring"""






					A__     =  [self.eos_token_id]

					if token_ids_a is None:
							return len(token_ids_a + eos  ) * [0]
					return len(token_ids_a + eos + token_ids_a + eos  ) * [0]






			def   a_			(     self  :       int  )      ->      Any:







					"""simple docstring"""






					return list(
					    set(filter(lambda __lowerCAmelCase  : bool(re.search(R"""<extra_id_\d+>"""				,      __lowerCamelCase  )  ) is not None				,      self.additional_special_tokens  )  )  )







			def   a_			(     self  :       Dict  )      ->      Optional[Any]:







					"""simple docstring"""






					return [self.convert_tokens_to_ids(__lowerCamelCase  ) for token in self.get_sentinel_tokens()]









import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__magic_name__  :  Optional[int]					=       get_tests_dir("""fixtures/spiece.model""")





@require_sentencepiece
@require_tokenizers
class     SCREAMING_SNAKE_CASE__		(_a    ,					unittest.TestCase			):
     lowercase_ :      Optional[Any]				= DebertaVaTokenizer
     lowercase_ :      Any				= DebertaVaTokenizerFast
     lowercase_ :      List[str]				= True
     lowercase_ :      str				= True
     def        A__      (						self	:		Union[str, Any]						):



       """simple docstring"""
       super().setUp()

       # We have a SentencePiece fixture for testing
       lowerCAmelCase__										=      DebertaVaTokenizer(__lowerCamelCase       ,						unk_token='''<unk>'''						)
       tokenizer.save_pretrained(self.tmpdirname						)
     def        A__      (						self	:		Dict       ,						__lowerCamelCase	:		Any						):



       """simple docstring"""
       lowerCAmelCase__										=      '''this is a test'''
       lowerCAmelCase__										=      '''this is a test'''
       return input_text, output_text
     def        A__      (						self	:		Tuple						):



       """simple docstring"""
       lowerCAmelCase__										=      '''<pad>'''
       lowerCAmelCase__										=      0

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowerCamelCase						)       ,						__lowerCamelCase						)
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowerCamelCase						)       ,						__lowerCamelCase						)
     def        A__      (						self	:		Any						):



       """simple docstring"""
       lowerCAmelCase__										=      list(self.get_tokenizer().get_vocab().keys()						)
       self.assertEqual(vocab_keys[0]       ,						'''<pad>'''						)
       self.assertEqual(vocab_keys[1]       ,						'''<unk>'''						)
       self.assertEqual(vocab_keys[-1]       ,						'''[PAD]'''						)
       self.assertEqual(len(__lowerCamelCase						)       ,						3_00_01						)
     def        A__      (						self	:		Tuple						):



       """simple docstring"""
       self.assertEqual(self.get_tokenizer().vocab_size       ,						3_00_00						)
     def        A__      (						self	:		str						):



       """simple docstring"""
       # fmt: off
       lowerCAmelCase__										=      ''' \tHeLLo!how  \n Are yoU?  '''
       lowerCAmelCase__										=      ['''▁hello''', '''!''', '''how''', '''▁are''', '''▁you''', '''?''']
       # fmt: on

       lowerCAmelCase__										=      DebertaVaTokenizer(__lowerCamelCase       ,						do_lower_case=__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)

       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      DebertaVaTokenizerFast(__lowerCamelCase       ,						do_lower_case=__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)

       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     @unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''						)
     def        A__      (						self	:		List[str]						):



       """simple docstring"""
       pass
     @unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''						)
     def        A__      (						self	:		Dict						):



       """simple docstring"""
       pass
     def        A__      (						self	:		str						):



       """simple docstring"""
       # fmt: off
       lowerCAmelCase__										=      '''I was born in 92000, and this is falsé.'''
       lowerCAmelCase__										=      ['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
       # fmt: on

       lowerCAmelCase__										=      DebertaVaTokenizer(__lowerCamelCase       ,						split_by_punct=__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)

       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      DebertaVaTokenizerFast(__lowerCamelCase       ,						split_by_punct=__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)

       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     def        A__      (						self	:		Optional[int]						):



       """simple docstring"""
       # fmt: off
       lowerCAmelCase__										=      '''I was born in 92000, and this is falsé.'''
       lowerCAmelCase__										=      ['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
       # fmt: on

       lowerCAmelCase__										=      DebertaVaTokenizer(__lowerCamelCase       ,						do_lower_case=__lowerCamelCase       ,						split_by_punct=__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      DebertaVaTokenizerFast(__lowerCamelCase       ,						do_lower_case=__lowerCamelCase       ,						split_by_punct=__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     def        A__      (						self	:		Union[str, Any]						):



       """simple docstring"""
       # fmt: off
       lowerCAmelCase__										=      '''I was born in 92000, and this is falsé.'''
       lowerCAmelCase__										=      ['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''', ]
       # fmt: on

       lowerCAmelCase__										=      DebertaVaTokenizer(__lowerCamelCase       ,						do_lower_case=__lowerCamelCase       ,						split_by_punct=__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)

       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      DebertaVaTokenizerFast(__lowerCamelCase       ,						do_lower_case=__lowerCamelCase       ,						split_by_punct=__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)

       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     def        A__      (						self	:		Optional[int]						):



       """simple docstring"""
       # fmt: off
       lowerCAmelCase__										=      '''I was born in 92000, and this is falsé.'''
       lowerCAmelCase__										=      ['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
       # fmt: on

       lowerCAmelCase__										=      DebertaVaTokenizer(__lowerCamelCase       ,						do_lower_case=__lowerCamelCase       ,						split_by_punct=__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)

       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      DebertaVaTokenizerFast(__lowerCamelCase       ,						do_lower_case=__lowerCamelCase       ,						split_by_punct=__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)

       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     def        A__      (						self	:		Tuple						):



       """simple docstring"""
       # fmt: off
       lowerCAmelCase__										=      ''' \tHeLLo!how  \n Are yoU?  '''
       lowerCAmelCase__										=      ['''▁''', '''<unk>''', '''e''', '''<unk>''', '''o''', '''!''', '''how''', '''▁''', '''<unk>''', '''re''', '''▁yo''', '''<unk>''', '''?''']
       # fmt: on

       lowerCAmelCase__										=      DebertaVaTokenizer(__lowerCamelCase       ,						do_lower_case=__lowerCamelCase       ,						split_by_punct=__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)

       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      DebertaVaTokenizerFast(__lowerCamelCase       ,						do_lower_case=__lowerCamelCase       ,						split_by_punct=__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)

       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     def        A__      (						self	:		List[Any]						):



       """simple docstring"""
       lowerCAmelCase__										=      self.get_tokenizer()
       lowerCAmelCase__										=      self.get_rust_tokenizer()

       lowerCAmelCase__										=      '''I was born in 92000, and this is falsé.'''

       lowerCAmelCase__										=      tokenizer.convert_ids_to_tokens(tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)
       lowerCAmelCase__										=      rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      self.get_rust_tokenizer()
       lowerCAmelCase__										=      tokenizer.encode(__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.encode(__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     def        A__      (						self	:		Optional[Any]						):



       """simple docstring"""
       lowerCAmelCase__										=      '''This is a test'''
       lowerCAmelCase__										=      [13, 1, 43_98, 25, 21, 12_89]
       lowerCAmelCase__										=      ['''▁''', '''T''', '''his''', '''▁is''', '''▁a''', '''▁test''']
       lowerCAmelCase__										=      ['''▁''', '''<unk>''', '''his''', '''▁is''', '''▁a''', '''▁test''']

       lowerCAmelCase__										=      DebertaVaTokenizer(__lowerCamelCase       ,						keep_accents=__lowerCamelCase						)
       lowerCAmelCase__										=      DebertaVaTokenizerFast(__lowerCamelCase       ,						keep_accents=__lowerCamelCase						)

       lowerCAmelCase__										=      tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.tokenize(__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.convert_ids_to_tokens(__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      rust_tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.tokenize(__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.convert_ids_to_tokens(__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       # fmt: off
       lowerCAmelCase__										=      '''I was born in 92000, and this is falsé.'''
       lowerCAmelCase__										=      [13, 1, 23, 3_86, 19, 5_61, 30_50, 15, 17, 48, 25, 82_56, 18, 1, 9]
       lowerCAmelCase__										=      ['''▁''', '''I''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''é''', '''.''', ]
       lowerCAmelCase__										=      ['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''', ]
       # fmt: on

       lowerCAmelCase__										=      tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.tokenize(__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.convert_ids_to_tokens(__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)

       lowerCAmelCase__										=      rust_tokenizer.encode(__lowerCamelCase       ,						add_special_tokens=__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.tokenize(__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
       lowerCAmelCase__										=      rust_tokenizer.convert_ids_to_tokens(__lowerCamelCase						)
       self.assertListEqual(__lowerCamelCase       ,						__lowerCamelCase						)
     def        A__      (						self	:		Dict						):



       """simple docstring"""
       lowerCAmelCase__										=      DebertaVaTokenizer(__lowerCamelCase						)

       lowerCAmelCase__										=      tokenizer.encode('''sequence builders'''						)
       lowerCAmelCase__										=      tokenizer.encode('''multi-sequence build'''						)

       lowerCAmelCase__										=      tokenizer.build_inputs_with_special_tokens(__lowerCamelCase						)
       lowerCAmelCase__										=      tokenizer.build_inputs_with_special_tokens(__lowerCamelCase       ,						__lowerCamelCase						)

       self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]       ,						__lowerCamelCase						)
       self.assertEqual(
           [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id]       ,						__lowerCamelCase       ,						)



     @slow
     def        A__      (						self	:		str						):



       """simple docstring"""
       # fmt: off
       lowerCAmelCase__										=      {'''input_ids''': [[1, 3_98_67, 36, 1_93_90, 4_86, 27, 3_50_52, 8_14_36, 18, 6_06_85, 12_25, 7, 3_50_52, 8_14_36, 18, 93_67, 1_68_99, 18, 1_59_37, 53, 5_94, 7_73, 18, 1_62_87, 3_04_65, 36, 1_59_37, 6, 4_11_39, 38, 3_69_79, 6_07_63, 1_91, 6, 3_41_32, 99, 6, 5_05_38, 3_90, 4_32_30, 6, 3_41_32, 27_79, 2_08_50, 14, 6_99, 10_72, 11_94, 36, 3_82, 1_09_01, 53, 7, 6_99, 10_72, 20_84, 36, 2_04_22, 6_30, 53, 19, 1_05, 30_49, 18_96, 10_53, 1_68_99, 15_06, 11, 3_79_78, 42_43, 7, 12_37, 3_18_69, 2_00, 1_65_66, 6_54, 6, 3_50_52, 8_14_36, 7, 5_56_30, 1_35_93, 4, 2], [1, 26, 1_50_11, 13, 6_67, 8, 10_53, 18, 2_36_11, 12_37, 7_23_56, 1_28_20, 34, 10_41_34, 12_09, 35, 1_33_13, 66_27, 21, 2_02, 3_47, 7, 1_64, 23_99, 11, 46, 44_85, 4, 2, 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, 5, 12_32, 28_64, 1_57_85, 1_49_51, 1_05, 5, 85_81, 12_50, 4, 2, 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]], '''token_type_ids''': [[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, 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, 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]], '''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, 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, 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=__lowerCamelCase       ,						model_name='''microsoft/deberta-v2-xlarge'''       ,						revision='''ad6e42c1532ddf3a15c39246b63f5559d558b670'''       ,						)

