






'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


a_					= logging.get_logger(__name__)


a_					= {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

a_					= {
    'vocab_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'allenai/longformer-base-4096': 'https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt',
        'allenai/longformer-large-4096': (
            'https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-finetuned-triviaqa': (
            'https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'
        ),
        'allenai/longformer-base-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
        'allenai/longformer-large-4096-extra.pos.embd.only': (
            'https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'
        ),
    },
}

a_					= {
    'allenai/longformer-base-4096': 4_0_9_6,
    'allenai/longformer-large-4096': 4_0_9_6,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4_0_9_6,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4_0_9_6,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4_0_9_6,
}





@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def  _a(  ):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__     :				str									=(
          list(range(ord('''!'''							),	ord('''~'''							) + 1							)							) + list(range(ord('''¡'''							),	ord('''¬'''							) + 1							)							) + list(range(ord('''®'''							),	ord('''ÿ'''							) + 1							)							)
      )
      SCREAMING_SNAKE_CASE__     :				List[str]									=bs[:]
      SCREAMING_SNAKE_CASE__     :				Any									=0
      for b in range(2**8							):
            if b not in bs:
                  bs.append(UpperCamelCase__							)
                  cs.append(2**8 + n							)
                  n += 1
      SCREAMING_SNAKE_CASE__     :				int									=[chr(UpperCamelCase__							) for n in cs]
      return dict(zip(UpperCamelCase__,	UpperCamelCase__							)							)





def  _a(  UpperCamelCase__				:						Optional[Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__     :				Any									=set()
      SCREAMING_SNAKE_CASE__     :				Optional[Any]									=word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            SCREAMING_SNAKE_CASE__     :				int									=char
      return pairs







class      __SCREAMING_SNAKE_CASE      (			lowerCamelCase				):
 snake_case_  							=							VOCAB_FILES_NAMES
 snake_case_  							=							PRETRAINED_VOCAB_FILES_MAP
 snake_case_  							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 snake_case_  							=							["""input_ids""", """attention_mask"""]




 def __init__(      self	:							Optional[Any]					,      __lowercase	:							Union[str, Any]					,      __lowercase	:							List[Any]					,      __lowercase	:							List[Any]="replace"					,      __lowercase	:							Tuple="<s>"					,      __lowercase	:							List[Any]="</s>"					,      __lowercase	:							Any="</s>"					,      __lowercase	:							Dict="<s>"					,      __lowercase	:							Dict="<unk>"					,      __lowercase	:							Optional[Any]="<pad>"					,      __lowercase	:							Optional[int]="<mask>"					,      __lowercase	:							Union[str, Any]=False					,      **__lowercase	:							str					,      )	->						Any:
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=AddedToken(__lowercase					,      lstrip=__lowercase					,      rstrip=__lowercase      ) if isinstance(__lowercase					,      __lowercase      ) else bos_token
       SCREAMING_SNAKE_CASE__     :				List[Any]									=AddedToken(__lowercase					,      lstrip=__lowercase					,      rstrip=__lowercase      ) if isinstance(__lowercase					,      __lowercase      ) else eos_token
       SCREAMING_SNAKE_CASE__     :				int									=AddedToken(__lowercase					,      lstrip=__lowercase					,      rstrip=__lowercase      ) if isinstance(__lowercase					,      __lowercase      ) else sep_token
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=AddedToken(__lowercase					,      lstrip=__lowercase					,      rstrip=__lowercase      ) if isinstance(__lowercase					,      __lowercase      ) else cls_token
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=AddedToken(__lowercase					,      lstrip=__lowercase					,      rstrip=__lowercase      ) if isinstance(__lowercase					,      __lowercase      ) else unk_token
       SCREAMING_SNAKE_CASE__     :				List[Any]									=AddedToken(__lowercase					,      lstrip=__lowercase					,      rstrip=__lowercase      ) if isinstance(__lowercase					,      __lowercase      ) else pad_token

       # Mask token behave like a normal word, i.e. include the space before it
       SCREAMING_SNAKE_CASE__     :				Dict									=AddedToken(__lowercase					,      lstrip=__lowercase					,      rstrip=__lowercase      ) if isinstance(__lowercase					,      __lowercase      ) else mask_token

       super().__init__(
           errors=__lowercase					,      bos_token=__lowercase					,      eos_token=__lowercase					,      unk_token=__lowercase					,      sep_token=__lowercase					,      cls_token=__lowercase					,      pad_token=__lowercase					,      mask_token=__lowercase					,      add_prefix_space=__lowercase					,      **__lowercase					,      )

       with open(__lowercase					,      encoding='''utf-8'''      ) as vocab_handle:
             SCREAMING_SNAKE_CASE__     :				str									=json.load(__lowercase      )
       SCREAMING_SNAKE_CASE__     :				List[Any]									={v: k for k, v in self.encoder.items()}
       SCREAMING_SNAKE_CASE__     :				Dict									=errors  # how to handle errors in decoding
       SCREAMING_SNAKE_CASE__     :				Optional[int]									=bytes_to_unicode()
       SCREAMING_SNAKE_CASE__     :				List[str]									={v: k for k, v in self.byte_encoder.items()}
       with open(__lowercase					,      encoding='''utf-8'''      ) as merges_handle:
             SCREAMING_SNAKE_CASE__     :				int									=merges_handle.read().split('''\n'''      )[1:-1]
       SCREAMING_SNAKE_CASE__     :				Optional[int]									=[tuple(merge.split()      ) for merge in bpe_merges]
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=dict(zip(__lowercase					,      range(len(__lowercase      )      )      )      )
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									={}
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=add_prefix_space

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''      )




 @property
 def      __magic_name__	(      self	:							Optional[Any]      )	->						List[Any]:
       return len(self.encoder      )




 def      __magic_name__	(      self	:							Optional[int]      )	->						Dict:
       return dict(self.encoder					,      **self.added_tokens_encoder      )




 def      __magic_name__	(      self	:							Optional[int]					,      __lowercase	:							str      )	->						Tuple:
       if token in self.cache:
             return self.cache[token]
       SCREAMING_SNAKE_CASE__     :				Any									=tuple(__lowercase      )
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=get_pairs(__lowercase      )

       if not pairs:
             return token

       while True:
             SCREAMING_SNAKE_CASE__     :				Any									=min(__lowercase					,      key=lambda __lowercase      : self.bpe_ranks.get(__lowercase					,      float('''inf'''      )      )      )
             if bigram not in self.bpe_ranks:
                   break
             SCREAMING_SNAKE_CASE__		,	SCREAMING_SNAKE_CASE__     :				Optional[Any]									=bigram
             SCREAMING_SNAKE_CASE__     :				List[str]									=[]
             SCREAMING_SNAKE_CASE__     :				List[Any]									=0
             while i < len(__lowercase      ):
                   try:
                         SCREAMING_SNAKE_CASE__     :				Any									=word.index(__lowercase					,      __lowercase      )
                   except ValueError:
                         new_word.extend(word[i:]      )
                         break
                   else:
                         new_word.extend(word[i:j]      )
                         SCREAMING_SNAKE_CASE__     :				Optional[int]									=j

                   if word[i] == first and i < len(__lowercase      ) - 1 and word[i + 1] == second:
                         new_word.append(first + second      )
                         i += 2
                   else:
                         new_word.append(word[i]      )
                         i += 1
             SCREAMING_SNAKE_CASE__     :				Tuple									=tuple(__lowercase      )
             SCREAMING_SNAKE_CASE__     :				Optional[int]									=new_word
             if len(__lowercase      ) == 1:
                   break
             else:
                   SCREAMING_SNAKE_CASE__     :				Optional[int]									=get_pairs(__lowercase      )
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=''' '''.join(__lowercase      )
       SCREAMING_SNAKE_CASE__     :				Dict									=word
       return word




 def      __magic_name__	(      self	:							Dict					,      __lowercase	:							List[Any]      )	->						Any:
       SCREAMING_SNAKE_CASE__     :				Any									=[]
       for token in re.findall(self.pat					,      __lowercase      ):
             SCREAMING_SNAKE_CASE__     :				List[str]									=''''''.join(
                 self.byte_encoder[b] for b in token.encode('''utf-8'''      )      )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
             bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__lowercase      ).split(''' '''      )      )
       return bpe_tokens




 def      __magic_name__	(      self	:							Union[str, Any]					,      __lowercase	:							Optional[int]      )	->						Optional[int]:
       return self.encoder.get(__lowercase					,      self.encoder.get(self.unk_token      )      )




 def      __magic_name__	(      self	:							Tuple					,      __lowercase	:							Dict      )	->						Any:
       return self.decoder.get(__lowercase      )




 def      __magic_name__	(      self	:							Any					,      __lowercase	:							str      )	->						Any:
       SCREAMING_SNAKE_CASE__     :				List[Any]									=''''''.join(__lowercase      )
       SCREAMING_SNAKE_CASE__     :				int									=bytearray([self.byte_decoder[c] for c in text]      ).decode('''utf-8'''					,      errors=self.errors      )
       return text




 def      __magic_name__	(      self	:							Optional[int]					,      __lowercase	:							str					,      __lowercase	:							Optional[str] = None      )	->						Tuple[str]:
       if not os.path.isdir(__lowercase      ):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"      )
             return
       SCREAMING_SNAKE_CASE__     :				Dict									=os.path.join(
           __lowercase					,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
       SCREAMING_SNAKE_CASE__     :				Dict									=os.path.join(
           __lowercase					,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']      )

       with open(__lowercase					,      '''w'''					,      encoding='''utf-8'''      ) as f:
             f.write(json.dumps(self.encoder					,      indent=2					,      sort_keys=__lowercase					,      ensure_ascii=__lowercase      ) + '''\n'''      )

       SCREAMING_SNAKE_CASE__     :				Optional[int]									=0
       with open(__lowercase					,      '''w'''					,      encoding='''utf-8'''      ) as writer:
             writer.write('''#version: 0.2\n'''      )
             for bpe_tokens, token_index in sorted(self.bpe_ranks.items()					,      key=lambda __lowercase      : kv[1]      ):
                   if index != token_index:
                         logger.warning(
                             F"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                             ''' Please check that the tokenizer is not corrupted!'''      )
                         SCREAMING_SNAKE_CASE__     :				Dict									=token_index
                   writer.write(''' '''.join(__lowercase      ) + '''\n'''      )
                   index += 1

       return vocab_file, merge_file




 def      __magic_name__	(      self	:							Any					,      __lowercase	:							List[int]					,      __lowercase	:							Optional[List[int]] = None      )	->						List[int]:
       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       SCREAMING_SNAKE_CASE__     :				str									=[self.cls_token_id]
       SCREAMING_SNAKE_CASE__     :				List[str]									=[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep




 def      __magic_name__	(      self	:							List[str]					,      __lowercase	:							List[int]					,      __lowercase	:							Optional[List[int]] = None					,      __lowercase	:							bool = False      )	->						List[int]:
       if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=__lowercase					,      token_ids_a=__lowercase					,      already_has_special_tokens=__lowercase      )

       if token_ids_a is None:
             return [1] + ([0] * len(__lowercase      )) + [1]
       return [1] + ([0] * len(__lowercase      )) + [1, 1] + ([0] * len(__lowercase      )) + [1]




 def      __magic_name__	(      self	:							Union[str, Any]					,      __lowercase	:							List[int]					,      __lowercase	:							Optional[List[int]] = None      )	->						List[int]:
       SCREAMING_SNAKE_CASE__     :				Tuple									=[self.sep_token_id]
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=[self.cls_token_id]

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




 def      __magic_name__	(      self	:							Tuple					,      __lowercase	:							Union[str, Any]					,      __lowercase	:							Optional[int]=False					,      **__lowercase	:							List[str]      )	->						Any:
       SCREAMING_SNAKE_CASE__     :				Optional[int]									=kwargs.pop('''add_prefix_space'''					,      self.add_prefix_space      )
       if (is_split_into_words or add_prefix_space) and (len(__lowercase      ) > 0 and not text[0].isspace()):
             SCREAMING_SNAKE_CASE__     :				int									=''' ''' + text
       return (text, kwargs)







'''simple docstring'''
import unittest

from transformers import SPIECE_UNDERLINE
from transformers.models.speechta import SpeechTaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.tokenization_utils import AddedToken

from ...test_tokenization_common import TokenizerTesterMixin


a_					= get_tests_dir('fixtures/test_sentencepiece_bpe_char.model')






@require_sentencepiece
@require_tokenizers
class      __SCREAMING_SNAKE_CASE      (			lowerCamelCase	,				unittest.TestCase				):
 snake_case_  							=							SpeechTaTokenizer
 snake_case_  							=							False
 snake_case_  							=							True




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

       # We have a SentencePiece fixture for testing
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=SpeechTaTokenizer(__lowercase      )

       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=AddedToken('''<mask>'''					,      lstrip=__lowercase					,      rstrip=__lowercase      )
       SCREAMING_SNAKE_CASE__     :				List[Any]									=mask_token
       tokenizer.add_special_tokens({'''mask_token''': mask_token}      )
       tokenizer.add_tokens(['''<ctc_blank>''']      )

       tokenizer.save_pretrained(self.tmpdirname      )




 def      __magic_name__	(      self	:							Dict					,      __lowercase	:							int      )	->						Optional[int]:
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									='''this is a test'''
       SCREAMING_SNAKE_CASE__     :				int									='''this is a test'''
       return input_text, output_text




 def      __magic_name__	(      self	:							List[Any]					,      __lowercase	:							int					,      __lowercase	:							Optional[Any]=False					,      __lowercase	:							Union[str, Any]=20					,      __lowercase	:							Any=5      )	->						Any:
       SCREAMING_SNAKE_CASE__		,	SCREAMING_SNAKE_CASE__     :				int									=self.get_input_output_texts(__lowercase      )
       SCREAMING_SNAKE_CASE__     :				str									=tokenizer.encode(__lowercase					,      add_special_tokens=__lowercase      )
       SCREAMING_SNAKE_CASE__     :				str									=tokenizer.decode(__lowercase					,      clean_up_tokenization_spaces=__lowercase      )
       return text, ids




 def      __magic_name__	(      self	:							Dict      )	->						str:
       SCREAMING_SNAKE_CASE__     :				Optional[int]									='''<pad>'''
       SCREAMING_SNAKE_CASE__     :				Optional[int]									=1

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




 def      __magic_name__	(      self	:							Tuple      )	->						List[str]:
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=list(self.get_tokenizer().get_vocab().keys()      )

       self.assertEqual(vocab_keys[0]					,      '''<s>'''      )
       self.assertEqual(vocab_keys[1]					,      '''<pad>'''      )
       self.assertEqual(vocab_keys[-4]					,      '''œ'''      )
       self.assertEqual(vocab_keys[-2]					,      '''<mask>'''      )
       self.assertEqual(vocab_keys[-1]					,      '''<ctc_blank>'''      )
       self.assertEqual(len(__lowercase      )					,      81      )




 def      __magic_name__	(      self	:							Dict      )	->						List[str]:
       self.assertEqual(self.get_tokenizer().vocab_size					,      79      )




 def      __magic_name__	(      self	:							Optional[Any]      )	->						str:
       SCREAMING_SNAKE_CASE__     :				str									=self.get_tokenizers(do_lower_case=__lowercase      )
       for tokenizer in tokenizers:
             with self.subTest(F"{tokenizer.__class__.__name__}"      ):
                   SCREAMING_SNAKE_CASE__     :				Tuple									=tokenizer.vocab_size
                   SCREAMING_SNAKE_CASE__     :				Any									=len(__lowercase      )

                   self.assertNotEqual(__lowercase					,      0      )

                   # We usually have added tokens from the start in tests because our vocab fixtures are
                   # smaller than the original vocabs - let's not assert this
                   # self.assertEqual(vocab_size, all_size)

                   SCREAMING_SNAKE_CASE__     :				int									=['''aaaaa bbbbbb''', '''cccccccccdddddddd''']
                   SCREAMING_SNAKE_CASE__     :				List[str]									=tokenizer.add_tokens(__lowercase      )
                   SCREAMING_SNAKE_CASE__     :				List[str]									=tokenizer.vocab_size
                   SCREAMING_SNAKE_CASE__     :				Optional[int]									=len(__lowercase      )

                   self.assertNotEqual(__lowercase					,      0      )
                   self.assertEqual(__lowercase					,      __lowercase      )
                   self.assertEqual(__lowercase					,      len(__lowercase      )      )
                   self.assertEqual(__lowercase					,      all_size + len(__lowercase      )      )

                   SCREAMING_SNAKE_CASE__     :				Tuple									=tokenizer.encode('''aaaaa bbbbbb low cccccccccdddddddd l'''					,      add_special_tokens=__lowercase      )

                   self.assertGreaterEqual(len(__lowercase      )					,      4      )
                   self.assertGreater(tokens[0]					,      tokenizer.vocab_size - 1      )
                   self.assertGreater(tokens[-3]					,      tokenizer.vocab_size - 1      )

                   SCREAMING_SNAKE_CASE__     :				str									={'''eos_token''': '''>>>>|||<||<<|<<''', '''pad_token''': '''<<<<<|||>|>>>>|>'''}
                   SCREAMING_SNAKE_CASE__     :				int									=tokenizer.add_special_tokens(__lowercase      )
                   SCREAMING_SNAKE_CASE__     :				List[str]									=tokenizer.vocab_size
                   SCREAMING_SNAKE_CASE__     :				int									=len(__lowercase      )

                   self.assertNotEqual(__lowercase					,      0      )
                   self.assertEqual(__lowercase					,      __lowercase      )
                   self.assertEqual(__lowercase					,      len(__lowercase      )      )
                   self.assertEqual(__lowercase					,      all_size_a + len(__lowercase      )      )

                   SCREAMING_SNAKE_CASE__     :				List[Any]									=tokenizer.encode(
                       '''>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l'''					,      add_special_tokens=__lowercase      )

                   self.assertGreaterEqual(len(__lowercase      )					,      6      )
                   self.assertGreater(tokens[0]					,      tokenizer.vocab_size - 1      )
                   self.assertGreater(tokens[0]					,      tokens[1]      )
                   self.assertGreater(tokens[-3]					,      tokenizer.vocab_size - 1      )
                   self.assertGreater(tokens[-3]					,      tokens[-4]      )
                   self.assertEqual(tokens[0]					,      tokenizer.eos_token_id      )
                   self.assertEqual(tokens[-3]					,      tokenizer.pad_token_id      )




 def      __magic_name__	(      self	:							Optional[Any]      )	->						Any:
       pass




 def      __magic_name__	(      self	:							List[str]      )	->						List[Any]:
       pass




 def      __magic_name__	(      self	:							Dict      )	->						List[Any]:
       SCREAMING_SNAKE_CASE__     :				Dict									=self.get_tokenizer()

       SCREAMING_SNAKE_CASE__     :				Optional[int]									=tokenizer.tokenize('''This is a test'''      )
       # fmt: off
       self.assertListEqual(__lowercase					,      [SPIECE_UNDERLINE, '''T''', '''h''', '''i''', '''s''', SPIECE_UNDERLINE, '''i''', '''s''', SPIECE_UNDERLINE, '''a''', SPIECE_UNDERLINE, '''t''', '''e''', '''s''', '''t''']      )
       # fmt: on

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(__lowercase      )					,      [4, 32, 11, 10, 12, 4, 10, 12, 4, 7, 4, 6, 5, 12, 6]					,      )

       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=tokenizer.tokenize('''I was born in 92000, and this is falsé.'''      )
       self.assertListEqual(
           __lowercase					,      [SPIECE_UNDERLINE, '''I''', SPIECE_UNDERLINE, '''w''', '''a''', '''s''', SPIECE_UNDERLINE, '''b''', '''o''', '''r''', '''n''', SPIECE_UNDERLINE, '''i''', '''n''', SPIECE_UNDERLINE, '''92000''', ''',''', SPIECE_UNDERLINE, '''a''', '''n''', '''d''', SPIECE_UNDERLINE, '''t''', '''h''', '''i''', '''s''', SPIECE_UNDERLINE, '''i''', '''s''', SPIECE_UNDERLINE, '''f''', '''a''', '''l''', '''s''', '''é''', '''.''']      )

       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=tokenizer.convert_tokens_to_ids(__lowercase      )
       # fmt: off
       self.assertListEqual(__lowercase					,      [4, 30, 4, 20, 7, 12, 4, 25, 8, 13, 9, 4, 10, 9, 4, 3, 23, 4, 7, 9, 14, 4, 6, 11, 10, 12, 4, 10, 12, 4, 19, 7, 15, 12, 73, 26]      )
       # fmt: on

       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=tokenizer.convert_ids_to_tokens(__lowercase      )
       self.assertListEqual(
           __lowercase					,      [SPIECE_UNDERLINE, '''I''', SPIECE_UNDERLINE, '''w''', '''a''', '''s''', SPIECE_UNDERLINE, '''b''', '''o''', '''r''', '''n''', SPIECE_UNDERLINE, '''i''', '''n''', SPIECE_UNDERLINE, '''<unk>''', ''',''', SPIECE_UNDERLINE, '''a''', '''n''', '''d''', SPIECE_UNDERLINE, '''t''', '''h''', '''i''', '''s''', SPIECE_UNDERLINE, '''i''', '''s''', SPIECE_UNDERLINE, '''f''', '''a''', '''l''', '''s''', '''é''', '''.''']      )




 @slow
 def      __magic_name__	(      self	:							List[str]      )	->						List[str]:
       # Use custom sequence because this tokenizer does not handle numbers.
       SCREAMING_SNAKE_CASE__     :				List[Any]									=[
           '''Transformers (formerly known as pytorch-transformers and pytorch-pretrained-bert) provides '''
           '''general-purpose architectures (BERT, GPT, RoBERTa, XLM, DistilBert, XLNet...) for Natural '''
           '''Language Understanding (NLU) and Natural Language Generation (NLG) with over thirty-two pretrained '''
           '''models in one hundred plus languages and deep interoperability between Jax, PyTorch and TensorFlow.''',
           '''BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly '''
           '''conditioning on both left and right context in all layers.''',
           '''The quick brown fox jumps over the lazy dog.''',
       ]

       # fmt: off
       SCREAMING_SNAKE_CASE__     :				str									={
           '''input_ids''': [
               [4, 32, 13, 7, 9, 12, 19, 8, 13, 18, 5, 13, 12, 4, 64, 19, 8, 13, 18, 5, 13, 15, 22, 4, 28, 9, 8, 20, 9, 4, 7, 12, 4, 24, 22, 6, 8, 13, 17, 11, 39, 6, 13, 7, 9, 12, 19, 8, 13, 18, 5, 13, 12, 4, 7, 9, 14, 4, 24, 22, 6, 8, 13, 17, 11, 39, 24, 13, 5, 6, 13, 7, 10, 9, 5, 14, 39, 25, 5, 13, 6, 63, 4, 24, 13, 8, 27, 10, 14, 5, 12, 4, 21, 5, 9, 5, 13, 7, 15, 39, 24, 16, 13, 24, 8, 12, 5, 4, 7, 13, 17, 11, 10, 6, 5, 17, 6, 16, 13, 5, 12, 4, 64, 40, 47, 54, 32, 23, 4, 53, 49, 32, 23, 4, 54, 8, 40, 47, 54, 32, 7, 23, 4, 69, 52, 43, 23, 4, 51, 10, 12, 6, 10, 15, 40, 5, 13, 6, 23, 4, 69, 52, 48, 5, 6, 26, 26, 26, 63, 4, 19, 8, 13, 4, 48, 7, 6, 16, 13, 7, 15, 4, 52, 7, 9, 21, 16, 7, 21, 5, 4, 61, 9, 14, 5, 13, 12, 6, 7, 9, 14, 10, 9, 21, 4, 64, 48, 52, 61, 63, 4, 7, 9, 14, 4, 48, 7, 6, 16, 13, 7, 15, 4, 52, 7, 9, 21, 16, 7, 21, 5, 4, 53, 5, 9, 5, 13, 7, 6, 10, 8, 9, 4, 64, 48, 52, 53, 63, 4, 20, 10, 6, 11, 4, 8, 27, 5, 13, 4, 6, 11, 10, 13, 6, 22, 39, 6, 20, 8, 4, 24, 13, 5, 6, 13, 7, 10, 9, 5, 14, 4, 18, 8, 14, 5, 15, 12, 4, 10, 9, 4, 8, 9, 5, 4, 11, 16, 9, 14, 13, 5, 14, 4, 24, 15, 16, 12, 4, 15, 7, 9, 21, 16, 7, 21, 5, 12, 4, 7, 9, 14, 4, 14, 5, 5, 24, 4, 10, 9, 6, 5, 13, 8, 24, 5, 13, 7, 25, 10, 15, 10, 6, 22, 4, 25, 5, 6, 20, 5, 5, 9, 4, 58, 7, 37, 23, 4, 49, 22, 32, 8, 13, 17, 11, 4, 7, 9, 14, 4, 32, 5, 9, 12, 8, 13, 55, 15, 8, 20, 26, 2],
               [4, 40, 47, 54, 32, 4, 10, 12, 4, 14, 5, 12, 10, 21, 9, 5, 14, 4, 6, 8, 4, 24, 13, 5, 39, 6, 13, 7, 10, 9, 4, 14, 5, 5, 24, 4, 25, 10, 14, 10, 13, 5, 17, 6, 10, 8, 9, 7, 15, 4, 13, 5, 24, 13, 5, 12, 5, 9, 6, 7, 6, 10, 8, 9, 12, 4, 19, 13, 8, 18, 4, 16, 9, 15, 7, 25, 5, 15, 5, 14, 4, 6, 5, 37, 6, 4, 25, 22, 4, 46, 8, 10, 9, 6, 15, 22, 4, 17, 8, 9, 14, 10, 6, 10, 8, 9, 10, 9, 21, 4, 8, 9, 4, 25, 8, 6, 11, 4, 15, 5, 19, 6, 4, 7, 9, 14, 4, 13, 10, 21, 11, 6, 4, 17, 8, 9, 6, 5, 37, 6, 4, 10, 9, 4, 7, 15, 15, 4, 15, 7, 22, 5, 13, 12, 26, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
               [4, 32, 11, 5, 4, 45, 16, 10, 17, 28, 4, 25, 13, 8, 20, 9, 4, 19, 8, 37, 4, 46, 16, 18, 24, 12, 4, 8, 27, 5, 13, 4, 6, 11, 5, 4, 15, 7, 57, 22, 4, 14, 8, 21, 26, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
               [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 1, 1, 1, 1, 1, 1, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
           ]
       }
       # fmt: on

       self.tokenizer_integration_test_util(
           expected_encoding=__lowercase					,      model_name='''microsoft/speecht5_asr'''					,      revision='''c5ef64c71905caeccde0e4462ef3f9077224c524'''					,      sequences=__lowercase					,      )