class_docstr: An interface to indicate that the transform has the capability to execute using
  MONAI's lazy resampling feature. In order to do this, the implementing class needs
  to be able to describe its operation as an affine matrix or grid with accompanying metadata.
  This interface can be extended from by people adapting transforms to the MONAI framework as
  well as by implementors of MONAI transforms.
class_docstr_tok: ["An","interface","to","indicate","that","the","transform","has","the","capability","to","execute","using","MONAI","'s","lazy","resampling","feature",".","In","order","to","do","this",",","the","implementing","class","needs","to","be","able","to","describe","its","operation","as","an","affine","matrix","or","grid","with","accompanying","metadata",".","This","interface","can","be","extended","from","by","people","adapting","transforms","to","the","MONAI","framework","as","well","as","by","implementors","of","MONAI","transforms","."]
docstr: Get whether lazy evaluation is enabled for this transform instance.
  Returns:
      True if the transform is operating in a lazy fashion, False if not.
docstr_tok: ["Get","whether","lazy","evaluation","is","enabled","for","this","transform","instance",".","Returns",":","True","if","the","transform","is","operating","in","a","lazy","fashion",",","False","if","not","."]
code: def lazy(self):
      """
      Get whether lazy evaluation is enabled for this transform instance.
      Returns:
          True if the transform is operating in a lazy fashion, False if not.
      """
      raise NotImplementedError()
  
file_path: MONAI/monai/transforms/traits.py
imports: from __future__ import annotations
  from typing import Any
label_desc: Use image node_id 1 for calling the LazyTrait obj's underlying member method code with example usage: obj.lazy() without return types