class_docstr: ApplyPending can be inserted into a pipeline that is being executed lazily in order to ensure
  resampling happens before the next transform. It doesn't do anything itself, but its presence
  causes the pipeline to be executed as ApplyPending doesn't implement ```LazyTrait``.
  
  See ``Compose`` for a detailed explanation of the lazy resampling feature.
class_docstr_tok: ["ApplyPending","can","be","inserted","into","a","pipeline","that","is","being","executed","lazily","in","order","to","ensure","resampling","happens","before","the","next","transform",".","It","does","n't","do","anything","itself",",","but","its","presence","causes","the","pipeline","to","be","executed","as","ApplyPending","does","n't","implement","``","`","LazyTrait","``",".","See","``","Compose","``","for","a","detailed","explanation","of","the","lazy","resampling","feature","."]
code: def __call__(self, data):
      return data
  
imports: from __future__ import annotations
  from monai.transforms.traits import InvertibleTrait
label_desc: Use image node_id 1 for calling the ApplyPending obj's underlying member method code with example usage: obj.__call__(data) and returns: data