"""simple docstring"""





def     a_					(				_lowerCAmelCase  :			int					):





       '''simple docstring'''

       if not isinstance(_lowerCAmelCase       ,			_lowerCAmelCase					):
              lowercase__      :		Union[str, Any]          =     (
                  'operation can not be conducted on a object of type '
                  f"""{type(_lowerCAmelCase					).__name__}"""
              )
              raise TypeError(_lowerCAmelCase					)
       lowercase__      :		Any          =     ''
       for _ in range(0       ,			32					):
              bit_string += str(number % 2					)
              lowercase__      :		str          =     number >> 1
       return bit_string





def     a_					(				_lowerCAmelCase  :			int					):





       '''simple docstring'''

       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\''					)
       lowercase__      :		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
              lowercase__      :		List[Any]          =     result << 1
              # get the end bit
              lowercase__      :		Optional[int]          =     number % 2
              # right shift the bits by unity
              lowercase__      :		List[Any]          =     number >> 1
              # add that bit to our ans
              lowercase__      :		Tuple          =     result | end_bit
       return get_reverse_bit_string(_lowerCAmelCase					)


if __name__ == "__main__":
       import doctest

       doctest.testmod()


"""simple docstring"""





from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_UpperCamelCase       :						int     =   {
    "configuration_retribert": ["RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "RetriBertConfig"],
    "tokenization_retribert": ["RetriBertTokenizer"],
}

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _UpperCamelCase       :						Tuple     =   ["RetriBertTokenizerFast"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _UpperCamelCase       :						int     =   [
           "RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
           "RetriBertModel",
           "RetriBertPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_retribert import RETRIBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, RetriBertConfig
       from .tokenization_retribert import RetriBertTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_retribert_fast import RetriBertTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_retribert import (
                  RETRIBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  RetriBertModel,
                  RetriBertPreTrainedModel,
              )

else:
       import sys

       _UpperCamelCase       :						Tuple     =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

