code: def testAssertParamsAreFloats(self):
      df = tf.Variable(14, dtype=tf.int32)
      loc = tf.Variable(0, dtype=tf.int32)
      scale = tf.Variable(1, dtype=tf.int32)
      with self.assertRaisesRegexp(
          ValueError, "Expected floating point"
      ):
          half_student_t.HalfStudentT(
              df=df, loc=loc, scale=scale, validate_args=True
          )
  
imports: import math
  import numpy
  from scipy import stats
  from scipy.special import gamma
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import half_student_t
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 25 for calling the HalfStudentTTest obj's underlying member method code with example usage: obj.testAssertParamsAreFloats() without return types