



'''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_albert import AlbertTokenizer
else:
  lowercase_									=    None

lowercase_									=    logging.get_logger(__name__)
lowercase_									=    {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

lowercase_									=    {
    "vocab_file": {
        "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/spiece.model",
        "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/spiece.model",
        "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/spiece.model",
        "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/spiece.model",
        "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/spiece.model",
        "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/spiece.model",
        "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/spiece.model",
        "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/tokenizer.json",
        "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/tokenizer.json",
        "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/tokenizer.json",
        "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/tokenizer.json",
        "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/tokenizer.json",
        "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/tokenizer.json",
        "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/tokenizer.json",
        "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/tokenizer.json",
    },
}

lowercase_									=    {
    "albert-base-v1": 512,
    "albert-large-v1": 512,
    "albert-xlarge-v1": 512,
    "albert-xxlarge-v1": 512,
    "albert-base-v2": 512,
    "albert-large-v2": 512,
    "albert-xlarge-v2": 512,
    "albert-xxlarge-v2": 512,
}

lowercase_									=    "▁"






class __A     (    A		):



 '''simple docstring'''







 __lowerCamelCase       :			Optional[int]		=			VOCAB_FILES_NAMES
 __lowerCamelCase       :			Tuple		=			PRETRAINED_VOCAB_FILES_MAP
 __lowerCamelCase       :			Optional[int]		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCamelCase       :			List[str]		=			AlbertTokenizer



 def __init__(self					,  A=None					,  A=None					,  A=True					,  A=True					,  A=False					,  A="[CLS]"					,  A="[SEP]"					,  A="<unk>"					,  A="[SEP]"					,  A="<pad>"					,  A="[CLS]"					,  A="[MASK]"					,  **A					,  )       ->	Tuple:


      """simple docstring"""



      _a           =    (
          AddedToken(A					,  lstrip=A					,  rstrip=A					,  normalized=A			)
          if isinstance(A					,  A			)
          else mask_token
      )

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

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



 def    a__    (self					,  A					,  A = None			)       ->	List[int]:


      """simple docstring"""



      _a           =    [self.sep_token_id]
      _a           =    [self.cls_token_id]
      if token_ids_a is None:
           return cls + token_ids_a + sep
      return cls + token_ids_a + sep + token_ids_a + sep



 def    a__    (self					,  A					,  A = None			)       ->	List[int]:


      """simple docstring"""



      _a           =    [self.sep_token_id]
      _a           =    [self.cls_token_id]

      if token_ids_a is None:
           return len(cls + token_ids_a + sep			) * [0]
      return len(cls + token_ids_a + sep			) * [0] + len(token_ids_a + sep			) * [1]



 def    a__    (self					,  A					,  A = 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(A			):
           logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''			)
           return
      _a           =    os.path.join(
          A					,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)

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

      return (out_vocab_file,)








'''simple docstring'''





def lowerCAmelCase    (__A):



     """simple docstring"""



     if not isinstance(__A    ,      __A):
          raise ValueError('''multiplicative_persistence() only accepts integral values''')
     if num < 0:
          raise ValueError('''multiplicative_persistence() does not accept negative values''')

     _a           =    0
     _a           =    str(__A)

     while len(__A) != 1:
          _a           =    [int(__A) for i in num_string]

          _a           =    1
          for i in range(0    ,      len(__A)):
               total *= numbers[i]

          _a           =    str(__A)

          steps += 1
     return steps




def lowerCAmelCase    (__A):



     """simple docstring"""



     if not isinstance(__A    ,      __A):
          raise ValueError('''additive_persistence() only accepts integral values''')
     if num < 0:
          raise ValueError('''additive_persistence() does not accept negative values''')

     _a           =    0
     _a           =    str(__A)

     while len(__A) != 1:
          _a           =    [int(__A) for i in num_string]

          _a           =    0
          for i in range(0    ,      len(__A)):
               total += numbers[i]

          _a           =    str(__A)

          steps += 1
     return steps


if __name__ == "__main__":
  import doctest

  doctest.testmod()



