code: def testMeanLogDetAndLogNormalizingConstant(self):
      def entropy_alt(w):
          dimension = tf.cast(
              w.scale.domain_dimension_tensor(), w.dtype
          )
          return self.evaluate(
              w.log_normalization()
              - 0.5 * (w.df - dimension - 1.0) * w.mean_log_det()
              + 0.5 * w.df * dimension
          )
  
      w = wishart.WishartTriL(
          df=4, scale_tril=chol(make_pd(1.0, 2)), validate_args=True
      )
      self.assertAllClose(self.evaluate(w.entropy()), entropy_alt(w))
  
      w = wishart.WishartTriL(
          df=5, scale_tril=[[1.0]], validate_args=True
      )
      self.assertAllClose(self.evaluate(w.entropy()), entropy_alt(w))
  
imports: import numpy
  from scipy import linalg
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import mixture_same_family
  from tensorflow_probability.python.distributions import wishart
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 2 for calling the WishartTest obj's underlying member method code with example usage: obj.testMeanLogDetAndLogNormalizingConstant() and returns: self