

'''simple docstring'''
from typing import TYPE_CHECKING

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


_lowerCamelCase	 =			{
    """configuration_deformable_detr""": ["""DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DeformableDetrConfig"""],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_lowerCamelCase	 =			["""DeformableDetrFeatureExtractor"""]
					_lowerCamelCase	 =			["""DeformableDetrImageProcessor"""]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_lowerCamelCase	 =			[
					    """DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """DeformableDetrForObjectDetection""",
					    """DeformableDetrModel""",
					    """DeformableDetrPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_deformable_detr import DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DeformableDetrConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_deformable_detr import DeformableDetrFeatureExtractor
										from .image_processing_deformable_detr import DeformableDetrImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_deformable_detr import (
										    DEFORMABLE_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
										    DeformableDetrForObjectDetection,
										    DeformableDetrModel,
										    DeformableDetrPreTrainedModel,
										)

else:
					import sys

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







'''simple docstring'''
from transformers import PretrainedConfig
class  _snake_case						(__SCREAMING_SNAKE_CASE):
			__A   :     Optional[Any]          ="custom"






			def __init__(   self       ,_snake_case=1       ,**_snake_case			):
				UpperCAmelCase_			:	Optional[int]      =   attribute
				super().__init__(**_snake_case			)




class  _snake_case						(__SCREAMING_SNAKE_CASE):
			__A   :     Dict          ="custom"






			def __init__(   self       ,_snake_case=1       ,**_snake_case			):
				UpperCAmelCase_			:	Optional[int]      =   attribute




