code: def testUniformAssertMaxGtMin(self):
      a_v = np.array([1.0, 1.0, 1.0], dtype=np.float32)
      b_v = np.array([1.0, 2.0, 3.0], dtype=np.float32)
  
      with self.assertRaisesOpError("not defined when `low` >= `high`"):
          dist = uniform.Uniform(low=a_v, high=b_v, validate_args=True)
          self.evaluate(dist.mean())
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  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 8 for calling the UniformTest obj's underlying member method code with example usage: obj.testUniformAssertMaxGtMin() without return types