code: def testAssertsVariableDf(self):
      df = tf.Variable(2.0)
      scale_tril = chol(make_pd(1.0, 4)).astype(np.float32)
      self.evaluate(df.initializer)
      msg = "cannot be less than dimension of scale matrix."
      with self.assertRaisesOpError(msg):
          d = wishart.WishartTriL(
              df=df, scale_tril=scale_tril, validate_args=True
          )
          self.evaluate(d.entropy())
  
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 24 for calling the WishartTest obj's underlying member method code with example usage: obj.testAssertsVariableDf() without return types