

'''simple docstring'''




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

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


if is_sentencepiece_available():
  from .tokenization_xlnet import XLNetTokenizer
else:
  _a					:			str							=    None


_a					:			int							=    logging.get_logger(__name__)

_a					:			Optional[int]							=    {'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

_a					:			str							=    {
    'vocab_file': {
        'xlnet-base-cased': 'https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model',
        'xlnet-large-cased': 'https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'xlnet-base-cased': 'https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json',
        'xlnet-large-cased': 'https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json',
    },
}

_a					:			Dict							=    {
    'xlnet-base-cased': None,
    'xlnet-large-cased': None,
}

_a					:			Tuple							=    '▁'

# Segments (not really needed)
_a					:			Optional[Any]							=    0
_a					:			Union[str, Any]							=    1
_a					:			Dict							=    2
_a					:			List[str]							=    3
_a					:			Optional[int]							=    4



class 							lowercase_						(		a			):

  '''simple docstring'''





  __lowerCAmelCase       :			List[str]     	= VOCAB_FILES_NAMES
  __lowerCAmelCase       :			Dict     	= PRETRAINED_VOCAB_FILES_MAP
  __lowerCAmelCase       :			Tuple     	= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCAmelCase       :			Any     	= "left"
  __lowerCAmelCase       :			List[Any]     	= XLNetTokenizer
  def __init__(  self ,			a_=None ,			a_=None ,			a_=False ,			a_=True ,			a_=False ,			a_="<s>" ,			a_="</s>" ,			a_="<unk>" ,			a_="<sep>" ,			a_="<pad>" ,			a_="<cls>" ,			a_="<mask>" ,			a_=["<eop>", "<eod>"] ,			**a_ ,			)				->					List[str]:


    """simple docstring"""
    # Mask token behave like a normal word, i.e. include the space before it
    UpperCAmelCase    				=						AddedToken(a_ ,			lstrip=a_ ,			rstrip=a_  ) if isinstance(a_ ,			a_  ) else mask_token

    super().__init__(
        vocab_file=a_ ,			tokenizer_file=a_ ,			do_lower_case=a_ ,			remove_space=a_ ,			keep_accents=a_ ,			bos_token=a_ ,			eos_token=a_ ,			unk_token=a_ ,			sep_token=a_ ,			pad_token=a_ ,			cls_token=a_ ,			mask_token=a_ ,			additional_special_tokens=a_ ,			**a_ ,			)

    UpperCAmelCase    				=						3
    UpperCAmelCase    				=						do_lower_case
    UpperCAmelCase    				=						remove_space
    UpperCAmelCase    				=						keep_accents
    UpperCAmelCase    				=						vocab_file
    UpperCAmelCase    				=						False if not self.vocab_file else True
  def     snake_case_      (  self ,			a_ ,			a_ = None  )				->					List[int]:


    """simple docstring"""
    UpperCAmelCase    				=						[self.sep_token_id]
    UpperCAmelCase    				=						[self.cls_token_id]
    if token_ids_a is None:
      return token_ids_a + sep + cls
    return token_ids_a + sep + token_ids_a + sep + cls
  def     snake_case_      (  self ,			a_ ,			a_ = None  )				->					List[int]:


    """simple docstring"""
    UpperCAmelCase    				=						[self.sep_token_id]
    UpperCAmelCase    				=						[2]

    if token_ids_a is None:
      return len(token_ids_a + sep  ) * [0] + cls_segment_id
    return len(token_ids_a + sep  ) * [0] + len(token_ids_a + sep  ) * [1] + cls_segment_id





  def     snake_case_      (  self ,			a_ ,			a_ = None  )				->					Tuple[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(a_  ):
      logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''  )
      return
    UpperCAmelCase    				=						os.path.join(
        a_ ,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )

    if os.path.abspath(self.vocab_file  ) != os.path.abspath(a_  ):
      copyfile(self.vocab_file ,			a_  )

    return (out_vocab_file,)





'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import _LazyModule


_a					:			Tuple							=    {'processing_wav2vec2_with_lm': ['Wav2Vec2ProcessorWithLM']}


if TYPE_CHECKING:
  from .processing_wavaveca_with_lm import WavaVecaProcessorWithLM
else:
  import sys

  _a					:			int							=    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


