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.
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docstr: Get whether the transform requires the input data to be up to date before the transform executes.
  Such transforms can still execute lazily by adding pending operations to the output tensors.
  Returns:
      True if the transform requires its inputs to be up to date and False if it does not
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code: def requires_current_data(self):
      """
      Get whether the transform requires the input data to be up to date before the transform executes.
      Such transforms can still execute lazily by adding pending operations to the output tensors.
      Returns:
          True if the transform requires its inputs to be up to date and False if it does not
      """
  
file_path: MONAI/monai/transforms/traits.py
imports: from __future__ import annotations
  from typing import Any
label_desc: Use image node_id 3 for calling the LazyTrait obj's underlying member method code with example usage: obj.requires_current_data() without return types