code: def testModifiedVariableProbAssertion(self):
      v = tf.Variable(0.9)
      self.evaluate(v.initializer)
      d = geometric.Geometric(probs=v, validate_args=True)
      with self.assertRaisesOpError("must be less than or equal to 1"):
          with tf.control_dependencies([v.assign(1.2)]):
              self.evaluate(d.mean())
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import geometric
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 18 for calling the GeometricTest obj's underlying member method code with example usage: obj.testModifiedVariableProbAssertion() without return types