code: def test_mads(self):
      # normalized=True is already tested in test_data.py
      mads = self.d.get_valid_mads(normalized=False)
      # 10 is given as the mad of feature 'age' while initiating private Data object; 1.0 is the default value.
      # Check get_valid_mads() in private_data_interface for more info.
      assert list(mads.values()) == [10.0, 1.0]
  
imports: from collections import OrderedDict
  import pytest
  import dice_ml
label_desc: Use image node_id 2 for calling the TestPrivateDataMethods obj's underlying member method code with example usage: obj.test_mads() without return types