code: def testReplicateMaternThreeHalves(self, feature_ndims, dtype, dims):
      amplitude = np.array(5.0, dtype=dtype)
      length_scale = np.array(0.2, dtype=dtype)
  
      k = matern.GeneralizedMatern(
          df=1.5,
          amplitude=amplitude,
          length_scale=length_scale,
          feature_ndims=feature_ndims,
      )
      matern_three_halves = matern.MaternThreeHalves(
          amplitude=amplitude,
          length_scale=length_scale,
          feature_ndims=feature_ndims,
      )
      shape = [dims] * feature_ndims
      for _ in range(5):
          x = np.random.uniform(-1, 1, size=shape).astype(dtype)
          y = np.random.uniform(-1, 1, size=shape).astype(dtype)
          self.assertAllClose(
              self.evaluate(matern_three_halves.apply(x, y)),
              self.evaluate(k.apply(x, y)),
          )
  
          self.assertAllClose(
              self.evaluate(matern_three_halves.apply(x, x)),
              self.evaluate(k.apply(x, x)),
          )
  
imports: from absl.testing import parameterized
  import numpy
  import scipy.special
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.math.psd_kernels import matern
label_desc: Use image node_id 6 for calling the GeneralizedMaternTest obj's underlying member method code with example usage: obj.testReplicateMaternThreeHalves(feature_ndims, dtype, dims) without return types