import os
from shutil import copyfile
from typing import Optional, Tuple

from ...file_utils import is_sentencepiece_available
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if is_sentencepiece_available():
    from .tokenization_deberta_va import DebertaVaTokenizer
else:
    __lowerCAmelCase    :  Optional[Any]										= None

__lowerCAmelCase    :  Dict										= logging.get_logger(__name__)

__lowerCAmelCase    :  int										= {'vocab_file': 'spm.model', 'tokenizer_file': 'tokenizer.json'}

__lowerCAmelCase    :  Tuple										= {
    'vocab_file': {
        'microsoft/deberta-v2-xlarge': 'https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model',
        'microsoft/deberta-v2-xxlarge': 'https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model',
        'microsoft/deberta-v2-xlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model'
        ),
        'microsoft/deberta-v2-xxlarge-mnli': (
            'https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model'
        ),
    }
}

__lowerCAmelCase    :  str										= {
    'microsoft/deberta-v2-xlarge': 512,
    'microsoft/deberta-v2-xxlarge': 512,
    'microsoft/deberta-v2-xlarge-mnli': 512,
    'microsoft/deberta-v2-xxlarge-mnli': 512,
}

__lowerCAmelCase    :  List[Any]										= {
    'microsoft/deberta-v2-xlarge': {'do_lower_case': False},
    'microsoft/deberta-v2-xxlarge': {'do_lower_case': False},
    'microsoft/deberta-v2-xlarge-mnli': {'do_lower_case': False},
    'microsoft/deberta-v2-xxlarge-mnli': {'do_lower_case': False},
}
class 				lowerCamelCase			(							__snake_case					):
      __lowerCamelCase							=					VOCAB_FILES_NAMES
      __lowerCamelCase							=					PRETRAINED_VOCAB_FILES_MAP
      __lowerCamelCase							=					PRETRAINED_INIT_CONFIGURATION
      __lowerCamelCase							=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __lowerCamelCase							=					DebertaVaTokenizer






      def __init__(      self  ,		__lowerCamelCase=None  ,		__lowerCamelCase=None  ,		__lowerCamelCase=False  ,		__lowerCamelCase=False  ,		__lowerCamelCase="[CLS]"  ,		__lowerCamelCase="[SEP]"  ,		__lowerCamelCase="[UNK]"  ,		__lowerCamelCase="[SEP]"  ,		__lowerCamelCase="[PAD]"  ,		__lowerCamelCase="[CLS]"  ,		__lowerCamelCase="[MASK]"  ,		**__lowerCamelCase  ,		)     ->				None:


          '''simple docstring'''







          super().__init__(
              __lowerCamelCase  ,		tokenizer_file=__lowerCamelCase  ,		do_lower_case=__lowerCamelCase  ,		bos_token=__lowerCamelCase  ,		eos_token=__lowerCamelCase  ,		unk_token=__lowerCamelCase  ,		sep_token=__lowerCamelCase  ,		pad_token=__lowerCamelCase  ,		cls_token=__lowerCamelCase  ,		mask_token=__lowerCamelCase  ,		split_by_punct=__lowerCamelCase  ,		**__lowerCamelCase  ,		)

          snake_case:						Tuple         =   do_lower_case
          snake_case:						Tuple         =   split_by_punct
          snake_case:						Optional[Any]         =   vocab_file
          snake_case:						Optional[int]         =   False if not self.vocab_file else True






      def 			lowerCAmelCase_   (      self  ,		__lowerCamelCase  ,		__lowerCamelCase=None						)     ->				List[str]:


          '''simple docstring'''







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






      def 			lowerCAmelCase_   (      self  ,		__lowerCamelCase  ,		__lowerCamelCase=None  ,		__lowerCamelCase=False						)     ->				str:


          '''simple docstring'''







          if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=__lowerCamelCase  ,		token_ids_a=__lowerCamelCase  ,		already_has_special_tokens=__lowerCamelCase						)

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






      def 			lowerCAmelCase_   (      self  ,		__lowerCamelCase  ,		__lowerCamelCase=None						)     ->				Tuple:


          '''simple docstring'''







          snake_case:						Dict         =   [self.sep_token_id]
          snake_case:						List[Any]         =   [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  ,		__lowerCamelCase  ,		__lowerCamelCase = 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
          snake_case:						Optional[int]         =   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   a_					(_lowerCAmelCase  :   int       )->				str:
    if not isinstance(_lowerCAmelCase			,	_lowerCAmelCase       ):
        snake_case:						Optional[Any]         =   (
            """operation can not be conducted on a object of type """
            F"{type(_lowerCAmelCase       ).__name__}"
        )
        raise TypeError(_lowerCAmelCase       )
    snake_case:						List[Any]         =   """"""
    for _ in range(0			,	32       ):
        bit_string += str(number % 2       )
        snake_case:						Any         =   number >> 1
    return bit_string

def   a_					(_lowerCAmelCase  :   int       )->				str:
    if number < 0:
        raise ValueError("""the value of input must be positive"""       )
    elif isinstance(_lowerCAmelCase			,	_lowerCAmelCase       ):
        raise TypeError("""Input value must be a 'int' type"""       )
    elif isinstance(_lowerCAmelCase			,	_lowerCAmelCase       ):
        raise TypeError("""'<' not supported between instances of 'str' and 'int'"""       )
    snake_case:						Optional[Any]         =   0
    # iterator over [1 to 32],since we are dealing with 32 bit integer
    for _ in range(1			,	33       ):
        # left shift the bits by unity
        snake_case:						Dict         =   result << 1
        # get the end bit
        snake_case:						Union[str, Any]         =   number % 2
        # right shift the bits by unity
        snake_case:						Union[str, Any]         =   number >> 1
        # add that bit to our ans
        snake_case:						Tuple         =   result | end_bit
    return get_reverse_bit_string(_lowerCAmelCase       )


if __name__ == "__main__":
    import doctest

    doctest.testmod()


