code: def __call__(self, data, meta, lazy):
      data = self.transforms[0](data)  # ensure channel first
      data = self.transforms[1](data, lazy=lazy)  # spacing
      meta = data.meta
      if len(self.transforms) == 3:
          return self.transforms[2](data), meta  # image contrast
      return data, meta
  
imports: from __future__ import annotations
  import os
  import tempfile
  import unittest
  import nibabel
  import numpy
  import torch
  from monai.data import ImageDataset
  from monai.transforms import Compose, EnsureChannelFirst, MapLabelValue, RandAdjustContrast, RandomizableTransform, Spacing
  from monai.transforms.utility.array import ToNumpy
label_desc: Use image node_id 1 for calling the _TestCompose obj's underlying member method code with example usage: obj.__call__(data, meta, lazy) and returns: data,  meta, self,  meta