code: def test_continuous_action(self) -> None:
      normalization_params = {
          i: NormalizationParameters(
              feature_type=CONTINUOUS_ACTION,
              min_value=-5.0 * i,
              max_value=10.0 * i,
          )
          for i in range(1, 5)
      }
      preprocessor = Preprocessor(normalization_params, use_gpu=False)
      postprocessor = Postprocessor(normalization_params, use_gpu=False)
  
      x = torch.rand(3, 4) * torch.tensor(
          [15, 30, 45, 60]
      ) + torch.tensor([-5, -10, -15, -20])
      presence = torch.ones_like(x, dtype=torch.uint8)
      y = postprocessor(preprocessor(x, presence))
      npt.assert_allclose(x, y, rtol=1e-4)
  
file_path: ReAgent/reagent/test/preprocessing/test_postprocessing.py
imports: import unittest
  import numpy.testing
  import torch
  from reagent.preprocessing.identify_types import CONTINUOUS_ACTION, DO_NOT_PREPROCESS
  from reagent.preprocessing.normalization import NormalizationParameters
  from reagent.preprocessing.postprocessor import Postprocessor
  from reagent.preprocessing.preprocessor import Preprocessor
label_desc: Use image node_id 1 for calling the TestPostprocessing obj's underlying member method code with example usage: obj.test_continuous_action() without return types