code: def testVonMisesEntropy(self):
      locs_v = np.array([-2.0, -1.0, 0.3, 3.2]).reshape([-1, 1])
      concentrations_v = np.array([0.01, 0.01, 1.0, 10.0]).reshape(
          [1, -1]
      )
      dist = von_mises.VonMises(
          self.make_tensor(locs_v),
          self.make_tensor(concentrations_v),
          validate_args=True,
      )
      expected_entropy = sp_stats.vonmises.entropy(
          concentrations_v, loc=locs_v
      )
      self.assertAllClose(
          expected_entropy, self.evaluate(dist.entropy()), rtol=1e-5
      )
  
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 12 for calling the _VonMisesTest obj's underlying member method code with example usage: obj.testVonMisesEntropy() without return types