code: def testPdfAlphaStretchedInBroadcastWhenLowerRank(self):
      alpha = [1.0, 2]
      x = [[0.5, 0.5], [0.2, 0.8]]
      pdf = dirichlet.Dirichlet(alpha).prob(x)
      self.assertAllClose([1.0, 8.0 / 5], self.evaluate(pdf))
      self.assertAllEqual([2], pdf.shape)
  
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 11 for calling the DirichletTest obj's underlying member method code with example usage: obj.testPdfAlphaStretchedInBroadcastWhenLowerRank() without return types