
'''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__   :		int 		=None


A__   :		Dict 		=logging.get_logger(__name__)

A__   :		List[Any] 		={'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

A__   :		Optional[int] 		={
    '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__   :		List[str] 		={
    'xlnet-base-cased': None,
    'xlnet-large-cased': None,
}

A__   :		Union[str, Any] 		='▁'

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







class  __A				( _SCREAMING_SNAKE_CASE			):
 lowerCamelCase				       =VOCAB_FILES_NAMES
 lowerCamelCase				       =PRETRAINED_VOCAB_FILES_MAP
 lowerCamelCase				       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCamelCase				       ='''left'''
 lowerCamelCase				       =XLNetTokenizer
 def __init__(   self			:    str				,   lowerCamelCase			:    List[str]=None				,   lowerCamelCase			:    int=None				,   lowerCamelCase			:    int=False				,   lowerCamelCase			:    Any=True				,   lowerCamelCase			:    List[Any]=False				,   lowerCamelCase			:    Union[str, Any]="<s>"				,   lowerCamelCase			:    str="</s>"				,   lowerCamelCase			:    Optional[Any]="<unk>"				,   lowerCamelCase			:    Union[str, Any]="<sep>"				,   lowerCamelCase			:    str="<pad>"				,   lowerCamelCase			:    Tuple="<cls>"				,   lowerCamelCase			:    Optional[Any]="<mask>"				,   lowerCamelCase			:    Optional[int]=["<eop>", "<eod>"]				,   **lowerCamelCase			:    Dict				,   ):



   """simple docstring"""





   __A		:     Optional[Any]												=		AddedToken(lowerCamelCase				,   lstrip=lowerCamelCase				,   rstrip=lowerCamelCase       ) if isinstance(lowerCamelCase				,   lowerCamelCase       ) else mask_token

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

   __A		:     Dict												=		3
   __A		:     Optional[int]												=		do_lower_case
   __A		:     Any												=		remove_space
   __A		:     int												=		keep_accents
   __A		:     int												=		vocab_file
   __A		:     Dict												=		False if not self.vocab_file else True
 def 		lowercase_(   self			:    int				,   lowerCamelCase			:    List[int]				,   lowerCamelCase			:    Optional[List[int]] = None       ):



   """simple docstring"""





   __A		:     List[str]												=		[self.sep_token_id]
   __A		:     Any												=		[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 		lowercase_(   self			:    Union[str, Any]				,   lowerCamelCase			:    List[int]				,   lowerCamelCase			:    Optional[List[int]] = None       ):



   """simple docstring"""





   __A		:     Any												=		[self.sep_token_id]
   __A		:     Dict												=		[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 		lowercase_(   self			:    Optional[int]				,   lowerCamelCase			:    str				,   lowerCamelCase			:    Optional[str] = None       ):



   """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		:     Any												=		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       )

   return (out_vocab_file,)





'''simple docstring'''
from packaging import version

from .import_utils import is_accelerate_available


if is_accelerate_available():
     import accelerate







def        A_     (						__SCREAMING_SNAKE_CASE						:  Dict )				->       Optional[int]:





  """simple docstring"""

  if not is_accelerate_available():
    return method
  __A		:     int												=		version.parse(accelerate.__version__ ).base_version
  if version.parse(__SCREAMING_SNAKE_CASE ) < version.parse("""0.17.0""" ):
    return method

  def wrapper(self						:  str			,     *__SCREAMING_SNAKE_CASE						:  Tuple			,     **__SCREAMING_SNAKE_CASE						:  Tuple ):
    if hasattr(self			,     """_hf_hook""" ) and hasattr(self._hf_hook			,     """pre_forward""" ):
      self._hf_hook.pre_forward(self )
    return method(self			,     *__SCREAMING_SNAKE_CASE			,     **__SCREAMING_SNAKE_CASE )

  return wrapper



