


from typing import TYPE_CHECKING

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


__UpperCamelCase    		=       {
    'configuration_maskformer': ['MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MaskFormerConfig'],
    'configuration_maskformer_swin': ['MaskFormerSwinConfig'],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       ['MaskFormerFeatureExtractor']
						__UpperCamelCase    		=       ['MaskFormerImageProcessor']


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       [
						    'MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'MaskFormerForInstanceSegmentation',
						    'MaskFormerModel',
						    'MaskFormerPreTrainedModel',
						]
						__UpperCamelCase    		=       [
						    'MaskFormerSwinBackbone',
						    'MaskFormerSwinModel',
						    'MaskFormerSwinPreTrainedModel',
						]

if TYPE_CHECKING:
						from .configuration_maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig
						from .configuration_maskformer_swin import MaskFormerSwinConfig

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_maskformer import MaskFormerFeatureExtractor
												from .image_processing_maskformer import MaskFormerImageProcessor
						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_maskformer import (
												    MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MaskFormerForInstanceSegmentation,
												    MaskFormerModel,
												    MaskFormerPreTrainedModel,
												)
												from .modeling_maskformer_swin import (
												    MaskFormerSwinBackbone,
												    MaskFormerSwinModel,
												    MaskFormerSwinPreTrainedModel,
												)


else:
						import sys

						__UpperCamelCase    		=       _LazyModule(__name__, globals()['__file__'], _import_structure)






from abc import ABC, abstractmethod
from argparse import ArgumentParser







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			@staticmethod
			@abstractmethod
			def 				snake_case__				(							snake_case     ):

						'''simple docstring'''


						raise NotImplementedError()







			@abstractmethod
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						raise NotImplementedError()


