code: def testUniformEntropy(self):
      a_v = np.array([1.0, 1.0, 1.0])
      b_v = np.array([[1.5, 2.0, 3.0]])
      uniform = uniform_lib.Uniform(low=a_v, high=b_v)
  
      expected_entropy = np.log(b_v - a_v)
      self.assertAllClose(
          expected_entropy, self.evaluate(uniform.entropy())
      )
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.distributions import uniform
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 6 for calling the UniformTest obj's underlying member method code with example usage: obj.testUniformEntropy() without return types