code: def testBroadcastingParams(self):
      def _check(student):
          self.assertEqual(student.mean().get_shape(), (3,))
          self.assertEqual(student.variance().get_shape(), (3,))
          self.assertEqual(student.entropy().get_shape(), (3,))
          self.assertEqual(student.log_prob(2.0).get_shape(), (3,))
          self.assertEqual(student.prob(2.0).get_shape(), (3,))
          self.assertEqual(
              student.sample(37).get_shape(),
              (
                  37,
                  3,
              ),
          )
  
      _check(
          student_t.StudentT(
              df=[
                  2.0,
                  3.0,
                  4.0,
              ],
              loc=2.0,
              scale=1.0,
          )
      )
      _check(
          student_t.StudentT(
              df=7.0,
              loc=[
                  2.0,
                  3.0,
                  4.0,
              ],
              scale=1.0,
          )
      )
      _check(
          student_t.StudentT(
              df=7.0,
              loc=3.0,
              scale=[
                  2.0,
                  3.0,
                  4.0,
              ],
          )
      )
  
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 10 for calling the StudentTTest obj's underlying member method code with example usage: obj.testBroadcastingParams() without return types