code: def testOrdinalIndependentFeatures(self):
      np.random.seed(29)
      r0 = np.random.randn(50000)
      r1 = np.random.randn(50000)
  
      for method in ["smaller_data", "larger_data"]:
          result = _MI(
              [r0],
              [r1],
              [False],
              [False],
              estimate_method=method,
              seed=21,
          )
          self.assertAlmostEqual(result, 0, places=2)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from tensorflow_data_validation.utils import mutual_information_util
label_desc: Use image node_id 2 for calling the RanklabMutualInformationTest obj's underlying member method code with example usage: obj.testOrdinalIndependentFeatures() without return types