code: def testVonMisesEntropyUniform(self):
      dist = von_mises.VonMises(-3.0, 0.0, validate_args=True)
      expected_entropy = np.log(2.0 * np.pi)
      self.assertAllClose(
          expected_entropy, self.evaluate(dist.entropy())
      )
  
imports: import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import von_mises
  from tensorflow_probability.python.internal import dtype_util
  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 _VonMisesTest obj's underlying member method code with example usage: obj.testVonMisesEntropyUniform() without return types