
"""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_rembert import RemBertTokenizer
else:
 __lowercase						:     List[str]							      =		None

__lowercase						:     List[str]							      =		logging.get_logger(__name__)
__lowercase						:     Any							      =		{"""vocab_file""": """sentencepiece.model""", """tokenizer_file""": """tokenizer.json"""}

__lowercase						:     Optional[Any]							      =		{
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
    """tokenizer_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/tokenizer.json""",
    },
}

__lowercase						:     str							      =		{
    """google/rembert""": 2_5_6,
}

__lowercase						:     str							      =		"""▁"""





class 					lowerCAmelCase			(				UpperCamelCase_					):
     """simple docstring"""







     __lowercase						:List[Any]          =    VOCAB_FILES_NAMES
     __lowercase						:List[Any]          =    PRETRAINED_VOCAB_FILES_MAP
     __lowercase						:Dict          =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __lowercase						:Union[str, Any]          =    RemBertTokenizer




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







            '''simple docstring'''





            lowerCamelCase_       							=		AddedToken(lowercase_ ,		lstrip=lowercase_ ,		rstrip=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_       							=		do_lower_case
            lowerCamelCase_       							=		remove_space
            lowerCamelCase_       							=		keep_accents
            lowerCamelCase_       							=		vocab_file
            lowerCamelCase_       							=		False if not self.vocab_file else True




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__ ,		UpperCamelCase__ = None							)					->  List[int]:







            '''simple docstring'''





            lowerCamelCase_       							=		[self.sep_token_id]
            lowerCamelCase_       							=		[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 ,		UpperCamelCase__ ,		UpperCamelCase__ = None ,		UpperCamelCase__ = False							)					->  List[int]:







            '''simple docstring'''





            if already_has_special_tokens:
                   if token_ids_a is not None:
                          raise ValueError(
                              '''You should not supply a second sequence if the provided sequence of '''
                              '''ids is already formatted with special tokens for the model.'''							)
                   return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

            if token_ids_a is not None:
                   return [1] + ([0] * len(lowercase_							)) + [1] + ([0] * len(lowercase_							)) + [1]
            return [1] + ([0] * len(lowercase_							)) + [1]




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__ ,		UpperCamelCase__ = None							)					->  List[int]:







            '''simple docstring'''





            lowerCamelCase_       							=		[self.sep_token_id]
            lowerCamelCase_       							=		[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 ,		UpperCamelCase__ ,		UpperCamelCase__ = None							)					->  Tuple[str]:







            '''simple docstring'''





            if not os.path.isdir(lowercase_							):
                   logger.error('''Vocabulary path ({}) should be a directory'''.format(lowercase_							)							)
                   return
            lowerCamelCase_       							=		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,)



import numpy as np




def       a_ (       SCREAMING_SNAKE_CASE__   : np.ndarray						,     SCREAMING_SNAKE_CASE__   : float	):
       '''simple docstring'''





       return np.where(vector > 0						,     SCREAMING_SNAKE_CASE__						,     (alpha * (np.exp(SCREAMING_SNAKE_CASE__	) - 1))	)


if __name__ == "__main__":
 import doctest

 doctest.testmod()


