code: def testPdfOnBoundaryWhenAlphaGreaterThanOne(self):
      dist = dirichlet.Dirichlet(9 * [2.0])
      x = 0.125 * np.ones(9).astype(np.float32)
      x[3] = 0.0
      log_pdf = self.evaluate(dist.log_prob(x))
      self.assertAllNegativeInf(log_pdf)
  
      pdf = self.evaluate(dist.prob(x))
      self.assertAllEqual(pdf, np.zeros_like(pdf))
  
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 6 for calling the DirichletTest obj's underlying member method code with example usage: obj.testPdfOnBoundaryWhenAlphaGreaterThanOne() without return types