




from typing import TYPE_CHECKING

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


__a							     =					{
    'configuration_conditional_detr': [
        'CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ConditionalDetrConfig',
        'ConditionalDetrOnnxConfig',
    ]
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __a							     =					['ConditionalDetrFeatureExtractor']
     __a							     =					['ConditionalDetrImageProcessor']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __a							     =					[
         'CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
         'ConditionalDetrForObjectDetection',
         'ConditionalDetrForSegmentation',
         'ConditionalDetrModel',
         'ConditionalDetrPreTrainedModel',
     ]


if TYPE_CHECKING:
     from .configuration_conditional_detr import (
         CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP,
         ConditionalDetrConfig,
         ConditionalDetrOnnxConfig,
     )

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_conditional_detr import ConditionalDetrFeatureExtractor
          from .image_processing_conditional_detr import ConditionalDetrImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_conditional_detr import (
              CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
              ConditionalDetrForObjectDetection,
              ConditionalDetrForSegmentation,
              ConditionalDetrModel,
              ConditionalDetrPreTrainedModel,
          )

else:
     import sys

     __a							     =					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


__a							     =					logging.get_logger(__name__)

class     __a(	_a  ):






    """simple docstring"""





    def __init__( self  ,*_SCREAMING_SNAKE_CASE  ,**_SCREAMING_SNAKE_CASE    )					->						None:
         warnings.warn(
             '''The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
             ''' use CLIPImageProcessor instead.'''  ,_SCREAMING_SNAKE_CASE  ,)
         super().__init__(*_SCREAMING_SNAKE_CASE  ,**_SCREAMING_SNAKE_CASE    )