code: def testMeanAllowNanStatsIsTrueReturnsNaNForUndefinedBatchMembers(
      self,
  ):
      mu = [-2, 0.0, 1.0, 3.3, 4.4]
      sigma = [5.0, 4.0, 3.0, 2.0, 1.0]
      student = student_t.StudentT(
          df=[0.5, 1.0, 3.0, 5.0, 7.0],
          loc=mu,
          scale=sigma,
          allow_nan_stats=True,
      )
      mean = self.evaluate(student.mean())
      self.assertAllClose([np.nan, np.nan, 1.0, 3.3, 4.4], mean)
  
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 14 for calling the StudentTTest obj's underlying member method code with example usage: obj.testMeanAllowNanStatsIsTrueReturnsNaNForUndefinedBatchMembers() without return types