code: def testTriangularEntropy(self):
      low = self._dtype(-3.0)
      high = np.arange(7.0, 11.0, dtype=self._dtype)
      peak = np.arange(3.0, 7.0, dtype=self._dtype)
  
      tri = self._create_triangular_dist(low, high, peak)
  
      self.assertAllClose(
          self._scipy_triangular(low, high, peak).entropy(),
          self.evaluate(tri.entropy()),
      )
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import triangular
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 17 for calling the _TriangularTest obj's underlying member method code with example usage: obj.testTriangularEntropy() without return types