code: def testEntropy(self):
      alpha = [1.0, 2, 3]
      dist = dirichlet.Dirichlet(concentration=alpha)
      self.assertAllEqual([], dist.entropy().shape)
      expected_entropy = sp_stats.dirichlet.entropy(alpha)
      self.assertAllClose(
          expected_entropy, self.evaluate(dist.entropy())
      )
  
imports: import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.distributions import dirichlet
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 20 for calling the DirichletTest obj's underlying member method code with example usage: obj.testEntropy() without return types