code: def testLowerCutoffMustBeBelowUpperCutoffOrWeRaise(self):
      with self.assertRaisesOpError("must be strictly less"):
          qdist = qd.QuantizedDistribution(
              distribution=normal.Normal(loc=0.0, scale=1.0),
              low=1.0,  # not strictly less than high.
              high=1.0,
              validate_args=True,
          )
  
          self.evaluate(qdist.sample(seed=test_util.test_seed()))
  
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 16 for calling the QuantizedDistributionTest obj's underlying member method code with example usage: obj.testLowerCutoffMustBeBelowUpperCutoffOrWeRaise() without return types