code: def testMode(self):
      df = [0.5, 1.0, 3]
      mu = [-1, 0.0, 1]
      sigma = [5.0, 4.0, 3.0]
      student = student_t.StudentT(df=df, loc=mu, scale=sigma)
      # Test broadcast of mu across shape of df/sigma
      mode = self.evaluate(student.mode())
      self.assertAllClose([-1.0, 0, 1], mode)
  
imports: import importlib
  import math
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops.distributions import student_t
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 19 for calling the StudentTTest obj's underlying member method code with example usage: obj.testMode() without return types