


'''simple docstring'''



from typing import TYPE_CHECKING

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


_lowercase      :      Optional[int]            =					{
    """configuration_mobilenet_v2""": [
        """MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileNetV2Config""",
        """MobileNetV2OnnxConfig""",
    ],
}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase      :      List[Any]            =					["""MobileNetV2FeatureExtractor"""]
	_lowercase      :      Optional[Any]            =					["""MobileNetV2ImageProcessor"""]


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase      :      Any            =					[
	    """MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """MobileNetV2ForImageClassification""",
	    """MobileNetV2ForSemanticSegmentation""",
	    """MobileNetV2Model""",
	    """MobileNetV2PreTrainedModel""",
	    """load_tf_weights_in_mobilenet_v2""",
	]


if TYPE_CHECKING:
	from .configuration_mobilenet_va import (
	    MOBILENET_V2_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_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MobileNetVaForImageClassification,
		    MobileNetVaForSemanticSegmentation,
		    MobileNetVaModel,
		    MobileNetVaPreTrainedModel,
		    load_tf_weights_in_mobilenet_va,
		)


else:
	import sys

	_lowercase      :      str            =					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









'''simple docstring'''



def 				lowerCamelCase__				(	A       :      int				,       A       :      int					):




						'''simple docstring'''






						return int(input_a == input_a == 0					)


def 				lowerCamelCase__				(	):




						'''simple docstring'''






						print('''Truth Table of NOR Gate:'''					)
						print('''|   Input 1   |  Input 2  | Output |'''					)
						print(f"""|      0      |    0      |  {nor_gate(0				,       0					)}     |"""					)
						print(f"""|      0      |    1      |  {nor_gate(0				,       1					)}     |"""					)
						print(f"""|      1      |    0      |  {nor_gate(1				,       0					)}     |"""					)
						print(f"""|      1      |    1      |  {nor_gate(1				,       1					)}     |"""					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()





