

def 							__SCREAMING_SNAKE_CASE     (   a__    :   int			,a__    :   int       )					->				List[Any]:
	if a < 0 or b < 0:
		raise ValueError("""the value of both inputs must be positive"""       )

	__A :			Optional[Any]		    =			str(bin(a__       )       )[2:]  # remove the leading "0b"
	__A :			Dict		    =			str(bin(a__       )       )[2:]  # remove the leading "0b"

	__A :			Dict		    =			max(len(a__       )			,len(a__       )       )

	return "0b" + "".join(
	    str(int(char_a != char_b       )       )
	    for char_a, char_b in zip(a_binary.zfill(a__       )			,b_binary.zfill(a__       )       )       )


if __name__ == "__main__":
			import doctest

			doctest.testmod()







'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowerCAmelCase					:    Optional[Any]           = {
    'configuration_falcon': ['FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP', 'FalconConfig'],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase					:    str           = [
						    'FALCON_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'FalconForCausalLM',
						    'FalconModel',
						    'FalconPreTrainedModel',
						    'FalconForSequenceClassification',
						    'FalconForTokenClassification',
						    'FalconForQuestionAnswering',
						]


if TYPE_CHECKING:
						from .configuration_falcon import FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP, FalconConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_falcon import (
												    FALCON_PRETRAINED_MODEL_ARCHIVE_LIST,
												    FalconForCausalLM,
												    FalconForQuestionAnswering,
												    FalconForSequenceClassification,
												    FalconForTokenClassification,
												    FalconModel,
												    FalconPreTrainedModel,
												)


else:
						import sys

						lowerCAmelCase					:    Tuple           = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




