code: def testConcentrationProperty(self):
      alpha = [[1.0, 2, 3]]
      dist = dirichlet.Dirichlet(alpha)
      self.assertEqual([1, 3], dist.concentration.shape)
      self.assertAllClose(alpha, self.evaluate(dist.concentration))
  
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 3 for calling the DirichletTest obj's underlying member method code with example usage: obj.testConcentrationProperty() without return types