code: def testUniformEntropy(self):
      a_v = np.array([1.0, 1.0, 1.0])
      b_v = np.array([[1.5, 2.0, 3.0]])
      dist = uniform.Uniform(low=a_v, high=b_v, validate_args=True)
  
      expected_entropy = np.log(b_v - a_v)
      self.assertAllClose(
          expected_entropy, self.evaluate(dist.entropy())
      )
  
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 7 for calling the UniformTest obj's underlying member method code with example usage: obj.testUniformEntropy() without return types