code: def testMode(self):
      scale = make_pd(1.0, 2)
      df = 4
      w = wishart.WishartTriL(
          df, scale_tril=chol(scale), validate_args=True
      )
      self.assertAllEqual(
          (df - 2.0 - 1.0) * scale, self.evaluate(w.mode())
      )
  
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 6 for calling the WishartTest obj's underlying member method code with example usage: obj.testMode() without return types