code: def testPdfZeroBatchesNontrivialX(self):
      alpha = [1.0, 2]
      x = [0.3, 0.7]
      dist = dirichlet.Dirichlet(alpha)
      pdf = dist.prob(x)
      self.assertAllClose(7.0 / 5, self.evaluate(pdf))
      self.assertEqual((), 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 8 for calling the DirichletTest obj's underlying member method code with example usage: obj.testPdfZeroBatchesNontrivialX() without return types