code: def testEntropy(self):
      loc = np.array([-0.1, -3.2, 7.0])
      dist = det.Deterministic(loc=loc, validate_args=True)
      entropy_ = self.evaluate(dist.entropy())
      self.assertAllEqual(np.zeros(3), entropy_)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import deterministic
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 19 for calling the DeterministicTest obj's underlying member method code with example usage: obj.testEntropy() without return types