



"""simple docstring"""







from typing import TYPE_CHECKING

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


UpperCamelCase     =							{"""configuration_swin""": ["""SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SwinConfig""", """SwinOnnxConfig"""]}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCamelCase     =							[
			    """SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """SwinForImageClassification""",
			    """SwinForMaskedImageModeling""",
			    """SwinModel""",
			    """SwinPreTrainedModel""",
			    """SwinBackbone""",
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCamelCase     =							[
			    """TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
			    """TFSwinForImageClassification""",
			    """TFSwinForMaskedImageModeling""",
			    """TFSwinModel""",
			    """TFSwinPreTrainedModel""",
			]

if TYPE_CHECKING:
			from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_swin import (
						    SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    SwinBackbone,
						    SwinForImageClassification,
						    SwinForMaskedImageModeling,
						    SwinModel,
						    SwinPreTrainedModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_swin import (
						    TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    TFSwinForImageClassification,
						    TFSwinForMaskedImageModeling,
						    TFSwinModel,
						    TFSwinPreTrainedModel,
						)

else:
			import sys

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








'''simple docstring'''
import baseaa




def 	_A  (       A							)  ->				bytes:
	return baseaa.aaaencode(string.encode("utf-8"							)							)




def 	_A  (       A							)  ->				str:
	return baseaa.aaadecode(A							).decode("utf-8"							)


if __name__ == "__main__":
					import doctest

					doctest.testmod()


