code: def test_transform_value():
      """unit test"""
      x = np.arange(-100, 100, 0.1)
      eps = 1e-7
      transform = ReduceScaleValueTransform(epsilon=eps)
      x_hat = transform.transform_value_inv(
          transform.transform_value(x)
      )
      assert np.allclose(x, x_hat)
  
file_path: maze/maze/test/train/common/test_value_transform.py
imports: import io
  from contextlib import redirect_stdout
  import numpy
  import torch
  from maze.train.trainers.common.value_transform import support_to_scalar, scalar_to_support, ReduceScaleValueTransform
label_desc: Use image node_id 1 for calling a global function with example usage: test_transform_value() without return types