code: def _copy_affine(self, d, src, dst):
      # make keys
      src_key = "_".join([src, self.meta_key_postfix])
      dst_key = "_".join([dst, self.meta_key_postfix])
  
      # check if keys exists, if so then copy affine info
      if src_key in d.keys() and "affine" in d[src_key]:
          # create a new destination dictionary if needed
          d[dst_key] = {} if dst_key not in d.keys() else d[dst_key]
  
          # copy over affine information
          d[dst_key]["affine"] = deepcopy(d[src_key]["affine"])
  
      return d
  
imports: import logging
  from copy import deepcopy
  from typing import Optional
  import numpy
  import torch
  from monai.data import MetaTensor
  from monai.networks.blocks import CRF
  from monai.transforms import Transform
  from scipy.special import softmax
  from .utils import make_iseg_unary, make_likelihood_image_gmm, make_likelihood_image_histogram, maxflow
label_desc: Use image node_id 5 for calling the InteractiveSegmentationTransform obj's underlying member method code with example usage: obj._copy_affine(d, src, dst) and returns: d