code: def testVariableNonInteger(self):
      dist = normal.Normal(0.0, scale=2.0)
      high = tf.Variable(5.2)
      d = qd.QuantizedDistribution(
          dist, low=-2.0, high=high, validate_args=True
      )
      self.evaluate(high.initializer)
      with self.assertRaisesOpError("has non-integer components."):
          self.evaluate(d.log_prob(0.0))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import exponential
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import quantized_distribution
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 24 for calling the QuantizedDistributionTest obj's underlying member method code with example usage: obj.testVariableNonInteger() without return types