




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:
   lowerCamelCase__			:       Optional[Any]         =							None

lowerCamelCase__			:       str         =							logging.get_logger(__name__)
lowerCamelCase__			:       List[Any]         =							{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase__			:       Optional[Any]         =							{
    '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',
    },
}

lowerCamelCase__			:       str         =							{
    '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,
}

lowerCamelCase__			:       Optional[Any]         =							'▁'





class 	lowerCamelCase_							(				lowerCamelCase_ ):


 '''simple docstring'''







 lowercase_       =   VOCAB_FILES_NAMES
 lowercase_       =   PRETRAINED_VOCAB_FILES_MAP
 lowercase_       =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_       =   AlbertTokenizer



 def __init__(							self  :		Optional[Any]    ,    _lowerCAmelCase  :		List[str]=None    ,    _lowerCAmelCase  :		List[str]=None    ,    _lowerCAmelCase  :		int=True    ,    _lowerCAmelCase  :		Tuple=True    ,    _lowerCAmelCase  :		List[str]=False    ,    _lowerCAmelCase  :		List[str]="[CLS]"    ,    _lowerCAmelCase  :		List[Any]="[SEP]"    ,    _lowerCAmelCase  :		int="<unk>"    ,    _lowerCAmelCase  :		int="[SEP]"    ,    _lowerCAmelCase  :		List[str]="<pad>"    ,    _lowerCAmelCase  :		List[Any]="[CLS]"    ,    _lowerCAmelCase  :		Union[str, Any]="[MASK]"    ,    **_lowerCAmelCase  :		Dict    ,    ):
       SCREAMING_SNAKE_CASE_     						=      (
           AddedToken(_UpperCAmelCase    ,    lstrip=_UpperCAmelCase    ,    rstrip=_UpperCAmelCase    ,    normalized=_UpperCAmelCase						)
           if isinstance(_UpperCAmelCase    ,    _UpperCAmelCase						)
           else mask_token
       )

       super().__init__(
           _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    ,    **_UpperCAmelCase    ,    )

       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  :		int    ,    _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 cls + token_ids_a + sep
       return cls + token_ids_a + sep + token_ids_a + sep



 def 				lowerCAmelCase_  (							self  :		List[Any]    ,    _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 len(cls + token_ids_a + sep						) * [0]
       return len(cls + token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1]




 def 				lowerCAmelCase_  (							self  :		Optional[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(_UpperCAmelCase						):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
             return
       SCREAMING_SNAKE_CASE_     						=      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,)





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()