class_docstr: randomisable transform for testing.
class_docstr_tok: ["randomisable","transform","for","testing","."]
code: def __call__(self, data):
      self.randomize()
      return data + self._a
  
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 2 for calling the RandTest obj's underlying member method code with example usage: obj.__call__(data) and returns: unknown