code: def testStudentTWithAbsDfSoftplusScale(self):
      df = constant_op.constant([-3.2, -4.6])
      mu = constant_op.constant([-4.2, 3.4])
      sigma = constant_op.constant([-6.4, -8.8])
      student = student_t.StudentTWithAbsDfSoftplusScale(
          df=df, loc=mu, scale=sigma
      )
      self.assertAllClose(
          math_ops.floor(self.evaluate(math_ops.abs(df))),
          self.evaluate(student.df),
      )
      self.assertAllClose(self.evaluate(mu), self.evaluate(student.loc))
      self.assertAllClose(
          self.evaluate(nn_ops.softplus(sigma)),
          self.evaluate(student.scale),
      )
  
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 25 for calling the StudentTTest obj's underlying member method code with example usage: obj.testStudentTWithAbsDfSoftplusScale() without return types