import warnings

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


UpperCamelCase__    							= logging.get_logger(__name__)





class 					A							(    UpperCAmelCase_					):


   def __init__(self					:						List[str]	,  *__UpperCAmelCase					:						Union[str, Any]	,  **__UpperCAmelCase					:						Any		)						->    None:
         """simple docstring"""



         warnings.warn(
             "The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
             " use CLIPImageProcessor instead."	,  __UpperCAmelCase	,  )
         super().__init__(*__UpperCAmelCase	,  **__UpperCAmelCase		)




from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
      if not (is_transformers_available() and is_torch_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ...utils.dummy_torch_and_transformers_objects import ShapEPipeline
else:
      from .camera import create_pan_cameras
      from .pipeline_shap_e import ShapEPipeline
      from .pipeline_shap_e_img2img import ShapEImgaImgPipeline
      from .renderer import (
          BoundingBoxVolume,
          ImportanceRaySampler,
          MLPNeRFModelOutput,
          MLPNeRSTFModel,
          ShapEParamsProjModel,
          ShapERenderer,
          StratifiedRaySampler,
          VoidNeRFModel,
      )



