


import importlib.metadata
from typing import Union

from packaging.version import Version, parse

from .constants import STR_OPERATION_TO_FUNC


snake_case							:	Tuple					      =				parse(importlib.metadata.version('''torch'''))






def 							__lowercase       (			__lowerCAmelCase							:    Union[str, Version] ,   __lowerCAmelCase							:    str ,   __lowerCAmelCase							:    str       ):
							if operation not in STR_OPERATION_TO_FUNC.keys():
														raise ValueError(F'`operation` must be one of {list(STR_OPERATION_TO_FUNC.keys()       )}, received {operation}'       )
							a__					=					STR_OPERATION_TO_FUNC[operation]
							if isinstance(__lowerCAmelCase ,   __lowerCAmelCase       ):
														a__					=					parse(importlib.metadata.version(__lowerCAmelCase       )       )
							return operation(__lowerCAmelCase ,   parse(__lowerCAmelCase       )       )






def 							__lowercase       (			__lowerCAmelCase							:    str ,   __lowerCAmelCase							:    str       ):
							return compare_versions(__lowerCAmelCase ,   __lowerCAmelCase ,   __lowerCAmelCase       )








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


snake_case							:	Optional[int]					      =				{
    '''configuration_clipseg''': [
        '''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''CLIPSegConfig''',
        '''CLIPSegTextConfig''',
        '''CLIPSegVisionConfig''',
    ],
    '''processing_clipseg''': ['''CLIPSegProcessor'''],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						snake_case							:	List[str]					      =				[
						    '''CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''CLIPSegModel''',
						    '''CLIPSegPreTrainedModel''',
						    '''CLIPSegTextModel''',
						    '''CLIPSegVisionModel''',
						    '''CLIPSegForImageSegmentation''',
						]

if TYPE_CHECKING:
						from .configuration_clipseg import (
						    CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    CLIPSegConfig,
						    CLIPSegTextConfig,
						    CLIPSegVisionConfig,
						)
						from .processing_clipseg import CLIPSegProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_clipseg import (
												    CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
												    CLIPSegForImageSegmentation,
												    CLIPSegModel,
												    CLIPSegPreTrainedModel,
												    CLIPSegTextModel,
												    CLIPSegVisionModel,
												)

else:
						import sys

						snake_case							:	Optional[int]					      =				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




