

"""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:
    __lowerCamelCase										=		None


__lowerCamelCase										=		logging.get_logger(__name__)

__lowerCamelCase										=		{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

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

__lowerCamelCase										=		'▁'

# Segments (not really needed)
__lowerCamelCase										=		0
__lowerCamelCase										=		1
__lowerCamelCase										=		2
__lowerCamelCase										=		3
__lowerCamelCase										=		4
class        _lowercase					(     __lowercase     ):
     _lowerCamelCase     =       VOCAB_FILES_NAMES
     _lowerCamelCase     =       PRETRAINED_VOCAB_FILES_MAP
     _lowerCamelCase     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _lowerCamelCase     =       '''left'''
     _lowerCamelCase     =       XLNetTokenizer







     def __init__(      self ,						UpperCamelCase_=None ,						UpperCamelCase_=None ,						UpperCamelCase_=False ,						UpperCamelCase_=True ,						UpperCamelCase_=False ,						UpperCamelCase_="<s>" ,						UpperCamelCase_="</s>" ,						UpperCamelCase_="<unk>" ,						UpperCamelCase_="<sep>" ,						UpperCamelCase_="<pad>" ,						UpperCamelCase_="<cls>" ,						UpperCamelCase_="<mask>" ,						UpperCamelCase_=["<eop>", "<eod>"] ,						**UpperCamelCase_ ,						):
      # Mask token behave like a normal word, i.e. include the space before it
      __magic_name__     =      AddedToken(UpperCamelCase_ ,						lstrip=UpperCamelCase_ ,						rstrip=UpperCamelCase_       ) if isinstance(UpperCamelCase_ ,						UpperCamelCase_       ) else mask_token

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

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







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ = None       ):
      __magic_name__     =      [self.sep_token_id]
      __magic_name__     =      [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 ,						UpperCamelCase_ ,						UpperCamelCase_ = None       ):
      __magic_name__     =      [self.sep_token_id]
      __magic_name__     =      [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 ,						UpperCamelCase_ ,						UpperCamelCase_ = 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(UpperCamelCase_       ):
       logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
       return
      __magic_name__     =      os.path.join(
          UpperCamelCase_ ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']       )

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

      return (out_vocab_file,)




"""simple docstring"""






from __future__ import annotations

from random import choice





def 	lowercase      (   __UpperCamelCase						) ->      Any:
 return choice(__UpperCamelCase						)





def 	lowercase      (   __UpperCamelCase      ,   __UpperCamelCase						) ->      int:
 __magic_name__     =      random_pivot(__UpperCamelCase						)

 # partition based on pivot
 # linear time
 __magic_name__     =      [e for e in lst if e < pivot]
 __magic_name__     =      [e for e in lst if e > pivot]

 # if we get lucky, pivot might be the element we want.
 # we can easily see this:
 # small (elements smaller than k)
 # + pivot (kth element)
 # + big (elements larger than k)
 if len(__UpperCamelCase						) == k - 1:
  return pivot
 # pivot is in elements bigger than k
 elif len(__UpperCamelCase						) < k - 1:
  return kth_number(__UpperCamelCase      ,   k - len(__UpperCamelCase						) - 1						)
 # pivot is in elements smaller than k
 else:
  return kth_number(__UpperCamelCase      ,   __UpperCamelCase						)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

