code: def testModifiedMapValuesIncreasingAssertion(self):
      map_values = tf.Variable([0.1, 0.2])
      b = categorical_to_discrete.CategoricalToDiscrete(
          map_values=map_values, validate_args=True
      )
      self.evaluate(map_values.initializer)
      with self.assertRaisesOpError(
          "map_values is not strictly increasing."
      ):
          with tf.control_dependencies([map_values.assign([0.2, 0.1])]):
              self.evaluate(b.forward([0, 1]))
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import categorical_to_discrete
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 13 for calling the CategoricalToDiscreteTest obj's underlying member method code with example usage: obj.testModifiedMapValuesIncreasingAssertion() without return types