


from typing import TYPE_CHECKING

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


snake_case_  :     List[str]							  =							{'''configuration_detr''': ['''DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetrConfig''', '''DetrOnnxConfig''']}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case_  :     Union[str, Any]							  =							['''DetrFeatureExtractor''']
							snake_case_  :     Union[str, Any]							  =							['''DetrImageProcessor''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case_  :     Tuple							  =							[
							    '''DETR_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''DetrForObjectDetection''',
							    '''DetrForSegmentation''',
							    '''DetrModel''',
							    '''DetrPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_detr import DetrFeatureExtractor
														from .image_processing_detr import DetrImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_detr import (
														    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
														    DetrForObjectDetection,
														    DetrForSegmentation,
														    DetrModel,
														    DetrPreTrainedModel,
														)

else:
							import sys

							snake_case_  :     List[Any]							  =							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



from ..utils import DummyObject, requires_backends

class   A__							(						metaclass=UpperCamelCase__					):
						UpperCAmelCase     =  ["torch", "librosa"]




						def __init__(    self   : Dict			,      *_a   : Union[str, Any]			,      **_a   : List[str]					)							->       Optional[int]:


										"""simple docstring"""





										requires_backends(self			,      ['''torch''', '''librosa''']					)




						@classmethod
						def 							__UpperCamelCase			(    cls   : Dict			,      *_a   : Tuple			,      **_a   : Tuple					)							->       Optional[int]:


										"""simple docstring"""





										requires_backends(cls			,      ['''torch''', '''librosa''']					)




						@classmethod
						def 							__UpperCamelCase			(    cls   : List[Any]			,      *_a   : Any			,      **_a   : List[str]					)							->       Dict:


										"""simple docstring"""





										requires_backends(cls			,      ['''torch''', '''librosa''']					)

class   A__							(						metaclass=UpperCamelCase__					):
						UpperCAmelCase     =  ["torch", "librosa"]




						def __init__(    self   : List[Any]			,      *_a   : int			,      **_a   : int					)							->       Optional[Any]:


										"""simple docstring"""





										requires_backends(self			,      ['''torch''', '''librosa''']					)




						@classmethod
						def 							__UpperCamelCase			(    cls   : str			,      *_a   : Dict			,      **_a   : Optional[Any]					)							->       Union[str, Any]:


										"""simple docstring"""





										requires_backends(cls			,      ['''torch''', '''librosa''']					)




						@classmethod
						def 							__UpperCamelCase			(    cls   : List[str]			,      *_a   : Optional[int]			,      **_a   : Union[str, Any]					)							->       Optional[Any]:


										"""simple docstring"""





										requires_backends(cls			,      ['''torch''', '''librosa''']					)