code: def testStudentSample(self):
      df = constant_op.constant(4.0)
      mu = constant_op.constant(3.0)
      sigma = constant_op.constant(-math.sqrt(10.0))
      df_v = 4.0
      mu_v = 3.0
      sigma_v = np.sqrt(10.0)
      n = constant_op.constant(200000)
      student = student_t.StudentT(df=df, loc=mu, scale=sigma)
      samples = student.sample(n, seed=123456)
      sample_values = self.evaluate(samples)
      n_val = 200000
      self.assertEqual(sample_values.shape, (n_val,))
      self.assertAllClose(sample_values.mean(), mu_v, rtol=0.1, atol=0)
      self.assertAllClose(
          sample_values.var(),
          sigma_v**2 * df_v / (df_v - 2),
          rtol=0.1,
          atol=0,
      )
      self._checkKLApprox(df_v, mu_v, sigma_v, sample_values)
  
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 5 for calling the StudentTTest obj's underlying member method code with example usage: obj.testStudentSample() without return types