




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:
   lowerCamelCase__			:       Tuple         =							None


lowerCamelCase__			:       List[Any]         =							logging.get_logger(__name__)

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

lowerCamelCase__			:       List[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',
    },
}

lowerCamelCase__			:       List[str]         =							{
    'xlnet-base-cased': None,
    'xlnet-large-cased': None,
}

lowerCamelCase__			:       Optional[Any]         =							'▁'

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





class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


 '''simple docstring'''







 lowercase_       =   VOCAB_FILES_NAMES
 lowercase_       =   PRETRAINED_VOCAB_FILES_MAP
 lowercase_       =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_       =   "left"
 lowercase_       =   XLNetTokenizer



 def __init__(							self  :		Optional[Any]    ,    _lowerCAmelCase  :		str=None    ,    _lowerCAmelCase  :		List[Any]=None    ,    _lowerCAmelCase  :		Dict=False    ,    _lowerCAmelCase  :		str=True    ,    _lowerCAmelCase  :		int=False    ,    _lowerCAmelCase  :		str="<s>"    ,    _lowerCAmelCase  :		Any="</s>"    ,    _lowerCAmelCase  :		Optional[int]="<unk>"    ,    _lowerCAmelCase  :		int="<sep>"    ,    _lowerCAmelCase  :		Dict="<pad>"    ,    _lowerCAmelCase  :		List[Any]="<cls>"    ,    _lowerCAmelCase  :		List[Any]="<mask>"    ,    _lowerCAmelCase  :		Tuple=["<eop>", "<eod>"]    ,    **_lowerCAmelCase  :		Tuple    ,    ):
       # Mask token behave like a normal word, i.e. include the space before it
       SCREAMING_SNAKE_CASE_     						=      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    ,    )

       SCREAMING_SNAKE_CASE_     						=      3
       SCREAMING_SNAKE_CASE_     						=      do_lower_case
       SCREAMING_SNAKE_CASE_     						=      remove_space
       SCREAMING_SNAKE_CASE_     						=      keep_accents
       SCREAMING_SNAKE_CASE_     						=      vocab_file
       SCREAMING_SNAKE_CASE_     						=      False if not self.vocab_file else True



 def 				lowerCAmelCase_  (							self  :		Tuple    ,    _lowerCAmelCase  :		List[int]    ,    _lowerCAmelCase  :		Optional[List[int]] = None						):
       SCREAMING_SNAKE_CASE_     						=      [self.sep_token_id]
       SCREAMING_SNAKE_CASE_     						=      [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 				lowerCAmelCase_  (							self  :		Optional[Any]    ,    _lowerCAmelCase  :		List[int]    ,    _lowerCAmelCase  :		Optional[List[int]] = None						):
       SCREAMING_SNAKE_CASE_     						=      [self.sep_token_id]
       SCREAMING_SNAKE_CASE_     						=      [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 				lowerCAmelCase_  (							self  :		int    ,    _lowerCAmelCase  :		str    ,    _lowerCAmelCase  :		Optional[str] = None						):
       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
       SCREAMING_SNAKE_CASE_     						=      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,)





def  UpperCAmelCase_							(				__UpperCAmelCase						:     str							) ->			list:
      return [
          txt[:a] + txt[a].upper() + txt[a + 1 :]
          for a in range(len(__UpperCAmelCase							)							)
          if txt[a].isalpha()
      ]


if __name__ == "__main__":
   __import__('doctest').testmod()