code: def testStudentSampleSmallDfNoNan(self):
      df_v = [1e-1, 1e-5, 1e-10, 1e-20]
      df = constant_op.constant(df_v)
      n = constant_op.constant(200000)
      student = student_t.StudentT(df=df, loc=1.0, scale=1.0)
      samples = student.sample(n, seed=123456)
      sample_values = self.evaluate(samples)
      n_val = 200000
      self.assertEqual(sample_values.shape, (n_val, 4))
      self.assertTrue(np.all(np.logical_not(np.isnan(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 7 for calling the StudentTTest obj's underlying member method code with example usage: obj.testStudentSampleSmallDfNoNan() without return types