
from typing import TYPE_CHECKING

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


__SCREAMING_SNAKE_CASE     :				List[Any]             =       {
    'configuration_deformable_detr': ['DEFORMABLE_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DeformableDetrConfig'],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE     :				int             =       ['DeformableDetrFeatureExtractor']
		__SCREAMING_SNAKE_CASE     :				Optional[Any]             =       ['DeformableDetrImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE     :				Optional[Any]             =       [
		    '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

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


import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


__SCREAMING_SNAKE_CASE     :				List[Any]             =       logging.get_logger(__name__)


class 						__magic_name__				(  snake_case      ):





		def __init__(							self      :		str  ,					*lowerCamelCase__      :		Dict  ,					**lowerCamelCase__      :		int			):
							warnings.warn(
							    '''The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
							    ''' Please use ConditionalDetrImageProcessor instead.'''  ,					lowerCamelCase__  ,					)
							super().__init__(*lowerCamelCase__  ,					**lowerCamelCase__			)
