






'''simple docstring'''

import warnings
from typing import Dict, List, Optional, Tuple

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


UpperCamelCase							=logging.get_logger(__name__)




class     A    (      SCREAMING_SNAKE_CASE__						):






 """simple docstring"""





 __a			:						str      =						['''input_ids''', '''attention_mask''']
 def __init__(							self			,     __lowerCAmelCase="</s>"			,     __lowerCAmelCase="<unk>"			,     __lowerCAmelCase="<pad>"			,     __lowerCAmelCase=1_25			,     __lowerCAmelCase=None			,     **__lowerCAmelCase			,     ):
       # Add extra_ids to the special token list
       if extra_ids > 0 and additional_special_tokens is None:
             UpperCamelCase_				:   int					    =							[F"<extra_id_{i}>" for i in range(__a )]
       elif extra_ids > 0 and additional_special_tokens is not None:
             # Check that we have the right number of extra_id special tokens
             UpperCamelCase_				:   str					    =							len(set(filter(lambda __lowerCAmelCase : bool("""extra_id""" in str(__a ) )			,     __a ) ) )
             if extra_tokens != extra_ids:
                   raise ValueError(
                       F"Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are"
                       """ provided to ByT5Tokenizer. In this case the additional_special_tokens must include the"""
                       """ extra_ids tokens""" )

       UpperCamelCase_				:   str					    =							AddedToken(__a			,     lstrip=__a			,     rstrip=__a ) if isinstance(__a			,     __a ) else pad_token
       UpperCamelCase_				:   List[Any]					    =							AddedToken(__a			,     lstrip=__a			,     rstrip=__a ) if isinstance(__a			,     __a ) else eos_token
       UpperCamelCase_				:   List[str]					    =							AddedToken(__a			,     lstrip=__a			,     rstrip=__a ) if isinstance(__a			,     __a ) else unk_token

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

       UpperCamelCase_				:   List[str]					    =							extra_ids

       UpperCamelCase_				:   List[str]					    =							2**8  # utf is 8 bits

       # define special tokens dict
       UpperCamelCase_				:   Tuple					    =							{
           self.pad_token: 0,
           self.eos_token: 1,
           self.unk_token: 2,
       }
       UpperCamelCase_				:   Union[str, Any]					    =							len(self.special_tokens_encoder )
       UpperCamelCase_				:   List[Any]					    =							len(__a )
       for i, token in enumerate(__a ):
             UpperCamelCase_				:   int					    =							self.vocab_size + i - n
       UpperCamelCase_				:   Optional[int]					    =							{v: k for k, v in self.special_tokens_encoder.items()}
 @property
 def   _UpperCAmelCase       (							self ):
       return self._utf_vocab_size + self._num_special_tokens + self._extra_ids
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None			,     __lowerCAmelCase = False ):
       if already_has_special_tokens:
             return super().get_special_tokens_mask(
                 token_ids_a=__a			,     token_ids_a=__a			,     already_has_special_tokens=__a )

       # normal case: some special tokens
       if token_ids_a is None:
             return ([0] * len(__a )) + [1]
       return ([0] * len(__a )) + [1] + ([0] * len(__a )) + [1]
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       if len(__a ) > 0 and token_ids[-1] == self.eos_token_id:
             warnings.warn(
                 F"This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated"
                 """ eos tokens being added.""" )
             return token_ids
       else:
             return token_ids + [self.eos_token_id]
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       UpperCamelCase_				:   List[str]					    =							[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   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       UpperCamelCase_				:   Any					    =							self._add_eos_if_not_present(__a )
       if token_ids_a is None:
             return token_ids_a
       else:
             UpperCamelCase_				:   str					    =							self._add_eos_if_not_present(__a )
             return token_ids_a + token_ids_a
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       UpperCamelCase_				:   str					    =							[chr(__a ) for i in text.encode("""utf-8""" )]
       return tokens
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       if token in self.special_tokens_encoder:
             UpperCamelCase_				:   Any					    =							self.special_tokens_encoder[token]
       elif token in self.added_tokens_encoder:
             UpperCamelCase_				:   str					    =							self.added_tokens_encoder[token]
       elif len(__a ) != 1:
             UpperCamelCase_				:   int					    =							self.unk_token_id
       else:
             UpperCamelCase_				:   Any					    =							ord(__a ) + self._num_special_tokens
       return token_id
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       if index in self.special_tokens_decoder:
             UpperCamelCase_				:   List[str]					    =							self.special_tokens_decoder[index]
       else:
             UpperCamelCase_				:   Dict					    =							chr(index - self._num_special_tokens )
       return token
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase ):
       UpperCamelCase_				:   Any					    =							B""""""
       for token in tokens:
             if token in self.special_tokens_decoder:
                   UpperCamelCase_				:   int					    =							self.special_tokens_decoder[token].encode("""utf-8""" )
             elif token in self.added_tokens_decoder:
                   UpperCamelCase_				:   Optional[int]					    =							self.special_tokens_decoder[token].encode("""utf-8""" )
             elif token in self.special_tokens_encoder:
                   UpperCamelCase_				:   Union[str, Any]					    =							token.encode("""utf-8""" )
             elif token in self.added_tokens_encoder:
                   UpperCamelCase_				:   List[Any]					    =							token.encode("""utf-8""" )
             else:
                   UpperCamelCase_				:   Dict					    =							bytes([ord(__a )] )
             bstring += tok_string
       UpperCamelCase_				:   List[Any]					    =							bstring.decode("""utf-8"""			,     errors="""ignore""" )
       return string





 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       return ()










'''simple docstring'''

import pytest

import datasets


# Import fixture modules as plugins
UpperCamelCase							=["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]



def 							snake_case					(     a_							: List[str]    ,   a_							: Optional[Any]	)       ->				Union[str, Any]:





      """simple docstring"""

      for item in items:
            if any(marker in item.keywords for marker in ["""integration""", """unit"""]	):
                  continue
            item.add_marker(pytest.mark.unit	)



def 							snake_case					(     a_							: Optional[int]	)       ->				Optional[Any]:





      """simple docstring"""

      config.addinivalue_line("""markers"""    ,   """torchaudio_latest: mark test to run with torchaudio>=0.12"""	)



@pytest.fixture(autouse=a_	)
def 							snake_case					(     a_							: Any    ,   a_							: Optional[int]	)       ->				Tuple:





      """simple docstring"""

      UpperCamelCase_				:   Optional[Any]					    =							tmp_path_factory.getbasetemp() / """cache"""
      UpperCamelCase_				:   str					    =							test_hf_cache_home / """datasets"""
      UpperCamelCase_				:   Any					    =							test_hf_cache_home / """metrics"""
      UpperCamelCase_				:   List[Any]					    =							test_hf_cache_home / """modules"""
      monkeypatch.setattr("""datasets.config.HF_DATASETS_CACHE"""    ,   str(a_	)	)
      monkeypatch.setattr("""datasets.config.HF_METRICS_CACHE"""    ,   str(a_	)	)
      monkeypatch.setattr("""datasets.config.HF_MODULES_CACHE"""    ,   str(a_	)	)
      UpperCamelCase_				:   List[Any]					    =							test_hf_datasets_cache / """downloads"""
      monkeypatch.setattr("""datasets.config.DOWNLOADED_DATASETS_PATH"""    ,   str(a_	)	)
      UpperCamelCase_				:   Any					    =							test_hf_datasets_cache / """downloads""" / """extracted"""
      monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""    ,   str(a_	)	)



@pytest.fixture(autouse=a_    ,   scope="""session"""	)
def 							snake_case					(     )       ->				Any:





      """simple docstring"""

      datasets.disable_progress_bar()



@pytest.fixture(autouse=a_	)
def 							snake_case					(     a_							: Optional[int]	)       ->				Union[str, Any]:





      """simple docstring"""

      monkeypatch.setattr("""datasets.config.HF_UPDATE_DOWNLOAD_COUNTS"""    ,   a_	)



@pytest.fixture
def 							snake_case					(     a_							: int	)       ->				Union[str, Any]:





      """simple docstring"""

      monkeypatch.setattr("""sqlalchemy.util.deprecations.SILENCE_UBER_WARNING"""    ,   a_	)






