






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:
						__UpperCamelCase      :      List[Any]     						=						None


__UpperCamelCase      :      str     						=						logging.get_logger(__name__)

__UpperCamelCase      :      Dict     						=						{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

__UpperCamelCase      :      Dict     						=						{
    """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""",
    },
}

__UpperCamelCase      :      Optional[int]     						=						{
    """xlnet-base-cased""": None,
    """xlnet-large-cased""": None,
}

__UpperCamelCase      :      List[Any]     						=						"""▁"""

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


class        __UpperCamelCase    (     _lowerCAmelCase   ):
	__snake_case	:Optional[Any]   =       VOCAB_FILES_NAMES
	__snake_case	:List[Any]   =       PRETRAINED_VOCAB_FILES_MAP
	__snake_case	:Any   =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__snake_case	:str   =       'left'
	__snake_case	:Optional[int]   =       XLNetTokenizer







	def __init__(  self      :							Dict       ,				_lowerCAmelCase      :							Optional[int]=None       ,				_lowerCAmelCase      :							Dict=None       ,				_lowerCAmelCase      :							Any=False       ,				_lowerCAmelCase      :							List[Any]=True       ,				_lowerCAmelCase      :							Optional[int]=False       ,				_lowerCAmelCase      :							Optional[Any]="<s>"       ,				_lowerCAmelCase      :							Any="</s>"       ,				_lowerCAmelCase      :							List[Any]="<unk>"       ,				_lowerCAmelCase      :							Tuple="<sep>"       ,				_lowerCAmelCase      :							Tuple="<pad>"       ,				_lowerCAmelCase      :							Optional[Any]="<cls>"       ,				_lowerCAmelCase      :							List[str]="<mask>"       ,				_lowerCAmelCase      :							int=["<eop>", "<eod>"]       ,				**_lowerCAmelCase      :							Tuple       ,				)		-> int:
		"""simple docstring"""







		__lowercase             =  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       ,				)

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







	def  _a   (  self      :							Optional[Any]       ,				_lowerCAmelCase      :							List[int]       ,				_lowerCAmelCase      :							Optional[List[int]] = None			)		-> List[int]:
		"""simple docstring"""







		__lowercase             =  [self.sep_token_id]
		__lowercase             =  [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  _a   (  self      :							str       ,				_lowerCAmelCase      :							List[int]       ,				_lowerCAmelCase      :							Optional[List[int]] = None			)		-> List[int]:
		"""simple docstring"""







		__lowercase             =  [self.sep_token_id]
		__lowercase             =  [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  _a   (  self      :							Optional[Any]       ,				_lowerCAmelCase      :							str       ,				_lowerCAmelCase      :							Optional[str] = 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(_lowerCAmelCase			):
			logger.error(F'Vocabulary path ({save_directory}) should be a directory'			)
			return
		__lowercase             =  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 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  """"""
	for ch in key:
		if ch == " " or ch not in key_no_dups and ch.isalpha():
			key_no_dups += ch
	return key_no_dups





def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  [chr(i + 65					) for i in range(26					)]
	# Remove duplicate characters from key
	__lowercase             =  remove_duplicates(key.upper()					)
	__lowercase             =  len(lowerCamelCase					)
	# First fill cipher with key characters
	__lowercase             =  {alphabet[i]: char for i, char in enumerate(lowerCamelCase					)}
	# Then map remaining characters in alphabet to
	# the alphabet from the beginning
	for i in range(len(lowerCamelCase					)				,  26					):
		__lowercase             =  alphabet[i - offset]
		# Ensure we are not mapping letters to letters previously mapped
		while char in key:
			offset -= 1
			__lowercase             =  alphabet[i - offset]
		__lowercase             =  char
	return cipher_alphabet





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	return "".join(cipher_map.get(lowerCamelCase				,  lowerCamelCase					) for ch in message.upper()					)





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  {v: k for k, v in cipher_map.items()}
	return "".join(rev_cipher_map.get(lowerCamelCase				,  lowerCamelCase					) for ch in message.upper()					)





def 				snake_case  (     ):




	'''simple docstring'''







	__lowercase             =  input("""Enter message to encode or decode: """					).strip()
	__lowercase             =  input("""Enter keyword: """					).strip()
	__lowercase             =  input("""Encipher or decipher? E/D:"""					).strip()[0].lower()
	try:
		__lowercase             =  {"""e""": encipher, """d""": decipher}[option]
	except KeyError:
		raise KeyError("""invalid input option"""					)
	__lowercase             =  create_cipher_map(lowerCamelCase					)
	print(func(lowerCamelCase				,  lowerCamelCase					)					)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()

