code: def is_supported_by(self, library):
      if getattr(self, f"{library}_pipeline", None) is not None:
          return True
      else:
          return False
  
imports: import cv2
  import Augmentor
  import albumentations
  from albumentations.pytorch import ToTensor
  import solt
  import solt.transforms
  from torchvision import transforms
label_desc: Use image node_id 3 for calling the BenchmarkTest obj's underlying member method code with example usage: obj.is_supported_by(library) and returns: True, False