


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		   =			None

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

lowerCamelCase		   =			{
    '''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		   =			{
    '''albert-base-v1''': 5_12,
    '''albert-large-v1''': 5_12,
    '''albert-xlarge-v1''': 5_12,
    '''albert-xxlarge-v1''': 5_12,
    '''albert-base-v2''': 5_12,
    '''albert-large-v2''': 5_12,
    '''albert-xlarge-v2''': 5_12,
    '''albert-xxlarge-v2''': 5_12,
}

lowerCamelCase		   =			'''▁'''




class A    (  UpperCamelCase_	):
      UpperCamelCase__				:    Optional[int] =VOCAB_FILES_NAMES
      UpperCamelCase__				:    Any =PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase__				:    Optional[int] =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase__				:    Optional[int] =AlbertTokenizer






      def __init__(   self		:	Tuple     ,  lowercase_		:	Any=None     ,  lowercase_		:	Dict=None     ,  lowercase_		:	str=True     ,  lowercase_		:	Optional[Any]=True     ,  lowercase_		:	List[Any]=False     ,  lowercase_		:	Any="[CLS]"     ,  lowercase_		:	Union[str, Any]="[SEP]"     ,  lowercase_		:	Tuple="<unk>"     ,  lowercase_		:	Optional[Any]="[SEP]"     ,  lowercase_		:	Tuple="<pad>"     ,  lowercase_		:	Optional[int]="[CLS]"     ,  lowercase_		:	str="[MASK]"     ,  **lowercase_		:	List[str]     ,  )   ->		Optional[Any]:
             """simple docstring"""




             _lowerCamelCase			:						List[Any]            =(
                 AddedToken(lowercase__     ,  lstrip=lowercase__     ,  rstrip=lowercase__     ,  normalized=lowercase__					)
                 if isinstance(lowercase__     ,  lowercase__					)
                 else mask_token
             )

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

             _lowerCamelCase			:						List[str]            =do_lower_case
             _lowerCamelCase			:						Any            =remove_space
             _lowerCamelCase			:						str            =keep_accents
             _lowerCamelCase			:						List[Any]            =vocab_file
             _lowerCamelCase			:						Union[str, Any]            =False if not self.vocab_file else True






      def 			lowerCamelCase			(   self		:	List[str]     ,  lowercase_		:	List[int]     ,  lowercase_		:	Optional[List[int]] = None					)   ->		Optional[int]:
             """simple docstring"""




             _lowerCamelCase			:						List[Any]            =[self.sep_token_id]
             _lowerCamelCase			:						List[str]            =[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		:	Union[str, Any]     ,  lowercase_		:	List[int]     ,  lowercase_		:	Optional[List[int]] = None					)   ->		List[Any]:
             """simple docstring"""




             _lowerCamelCase			:						int            =[self.sep_token_id]
             _lowerCamelCase			:						str            =[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		:	int     ,  lowercase_		:	str     ,  lowercase_		:	Optional[str] = None					)   ->		Union[str, Any]:
             """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(lowercase__					):
                    logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
                    return
             _lowerCamelCase			:						Union[str, Any]            =os.path.join(
                 lowercase__     ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)

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

             return (out_vocab_file,)



def _lowerCamelCase  (		snake_case  ):
							assert (
							    isinstance(snake_case     , snake_case  ) and number_of_steps > 0
							), F'number_of_steps needs to be positive integer, your input {number_of_steps}'
							if number_of_steps == 1:
														return 1
							_lowerCAmelCase			,		_lowerCAmelCase							=							1, 1
							for _ in range(number_of_steps - 1  ):
														_lowerCAmelCase			,		_lowerCAmelCase							=							current + previous, current
							return current


if __name__ == "__main__":
				import doctest

				doctest.testmod()






