
"""simple docstring"""


def        lowerCAmelCase_       (		snake_case_		:      Tuple							,   snake_case_		:      List[str]      )       ->Optional[int]:
			if len(str(snake_case_      )      ) == 1 or len(str(snake_case_      )      ) == 1:
						return a * b

			lowerCamelCase__     :					Optional[Any]		=max(len(str(snake_case_      )      )							,   len(str(snake_case_      )      )      )
			lowerCamelCase__     :					List[Any]		=ma // 2

			lowerCamelCase__     :					List[str]		=divmod(snake_case_							,   1_0**ma      )
			lowerCamelCase__     :					int		=divmod(snake_case_							,   1_0**ma      )

			lowerCamelCase__     :					Dict		=karatsuba(snake_case_							,   snake_case_      )
			lowerCamelCase__     :					Optional[Any]		=karatsuba((aa + aa)							,   (ba + ba)      )
			lowerCamelCase__     :					Union[str, Any]		=karatsuba(snake_case_							,   snake_case_      )

			return (z * 1_0 ** (2 * ma)) + ((y - z - x) * 1_0 ** (ma)) + (x)






def        lowerCAmelCase_       (		)       ->Tuple:
			print(karatsuba(1_5_4_6_3							,   2_3_4_8_9      )      )


if __name__ == "__main__":
							main()

"""simple docstring"""


from typing import TYPE_CHECKING

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


lowerCAmelCase								=						{
    """configuration_mobilenet_v1""": [
        """MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileNetV1Config""",
        """MobileNetV1OnnxConfig""",
    ],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase								=						["""MobileNetV1FeatureExtractor"""]
							lowerCAmelCase								=						["""MobileNetV1ImageProcessor"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase								=						[
							    """MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MobileNetV1ForImageClassification""",
							    """MobileNetV1Model""",
							    """MobileNetV1PreTrainedModel""",
							    """load_tf_weights_in_mobilenet_v1""",
							]


if TYPE_CHECKING:
							from .configuration_mobilenet_va import (
							    MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    MobileNetVaConfig,
							    MobileNetVaOnnxConfig,
							)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
														from .image_processing_mobilenet_va import MobileNetVaImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mobilenet_va import (
														    MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MobileNetVaForImageClassification,
														    MobileNetVaModel,
														    MobileNetVaPreTrainedModel,
														    load_tf_weights_in_mobilenet_va,
														)


else:
							import sys

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