

from typing import TYPE_CHECKING

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


_lowerCamelCase       :     Optional[int]           =							{"configuration_detr": ["DETR_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetrConfig", "DetrOnnxConfig"]}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _lowerCamelCase       :     Optional[Any]           =							["DetrFeatureExtractor"]
     _lowerCamelCase       :     int           =							["DetrImageProcessor"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _lowerCamelCase       :     Optional[int]           =							[
         "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

     _lowerCamelCase       :     Union[str, Any]           =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






def     a__  (	UpperCAmelCase							:    str    )						->		str:
  return " ".join([word[::-1] for word in input_str.split()]    )


if __name__ == "__main__":
     import doctest

     doctest.testmod()





