


"""simple docstring"""






def        lowerCamelCase_(		_lowerCamelCase			,		_lowerCamelCase       )    ->     str:
   '''simple docstring'''





   if a < 0 or b < 0:
      raise ValueError("the value of both inputs must be positive"       )
   _lowerCamelCase   :				Tuple							=     str(bin(_lowerCamelCase       )       )[2:]  # remove the leading "0b"
   _lowerCamelCase   :				Union[str, Any]							=     str(bin(_lowerCamelCase       )       )[2:]
   _lowerCamelCase   :				Union[str, Any]							=     max(len(_lowerCamelCase       )			,		len(_lowerCamelCase       )       )
   return "0b" + "".join(
       str(int("1" in (char_a, char_b)       )       )
       for char_a, char_b in zip(a_binary.zfill(_lowerCamelCase       )			,		b_binary.zfill(_lowerCamelCase       )       )       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()


"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A							=  {"""configuration_sew""": ["""SEW_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWConfig"""]}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _A							=  [
        """SEW_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """SEWForCTC""",
        """SEWForSequenceClassification""",
        """SEWModel""",
        """SEWPreTrainedModel""",
    ]

if TYPE_CHECKING:
    from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_sew import (
            SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
            SEWForCTC,
            SEWForSequenceClassification,
            SEWModel,
            SEWPreTrainedModel,
        )


else:
    import sys

    _A							=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

