





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:
     _snake_case    :       Dict		       =    None


_snake_case    :       Optional[Any]		       =    logging.get_logger(__name__)

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

_snake_case    :       List[Any]		       =    {
    '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',
    },
}

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

_snake_case    :       Dict		       =    '▁'

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



class 							_UpperCAmelCase       (       _UpperCamelCase       ):

  """simple docstring"""


  a_              =					VOCAB_FILES_NAMES
  a_              =					PRETRAINED_VOCAB_FILES_MAP
  a_              =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a_              =					"""left"""
  a_              =					XLNetTokenizer






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

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






  def 							lowercase						(							self					:						Optional[Any]   ,    lowerCAmelCase_					:						List[int]   ,    lowerCAmelCase_					:						Optional[List[int]] = None	)				->		List[int]:
     __lowerCAmelCase				      =      [self.sep_token_id]
     __lowerCAmelCase				      =      [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					:						Optional[Any]   ,    lowerCAmelCase_					:						List[int]   ,    lowerCAmelCase_					:						Optional[List[int]] = None	)				->		List[int]:
     __lowerCAmelCase				      =      [self.sep_token_id]
     __lowerCAmelCase				      =      [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					:						Any   ,    lowerCAmelCase_					:						str   ,    lowerCAmelCase_					:						Optional[str] = None	)				->		Tuple[str]:
     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
     __lowerCAmelCase				      =      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'''

import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
a							   =				'.'


if __name__ == "__main__":
	a							   =				os.path.join(REPO_PATH, 'utils/documentation_tests.txt')
	a							   =				[]
	a							   =				[]
	with open(doctest_file_path) as fp:
		for line in fp:
			a							   =				line.strip()
			a							   =				os.path.join(REPO_PATH, line)
			if not (os.path.isfile(path) or os.path.isdir(path)):
				non_existent_paths.append(line)
			all_paths.append(path)
	if len(non_existent_paths) > 0:
		a							   =				'\n'.join(non_existent_paths)
		raise ValueError(F"""`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}""")
	if all_paths != sorted(all_paths):
		raise ValueError('Files in `utils/documentation_tests.txt` are not in alphabetical order.')




