code: def testPdfOnBoundary(self):
      d = chi2.Chi2(df=[2.0, 4.0, 1.0], validate_args=True)
      log_prob_boundary = self.evaluate(d.log_prob(0.0))
      self.assertAllFinite(log_prob_boundary[0])
      self.assertAllNegativeInf(log_prob_boundary[1])
      self.assertAllPositiveInf(log_prob_boundary[2])
  
      prob_boundary = self.evaluate(d.prob(0.0))
      self.assertAllFinite(prob_boundary[:1])
      self.assertAllPositiveInf(prob_boundary[2])
  
imports: import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import chi2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the Chi2Test obj's underlying member method code with example usage: obj.testPdfOnBoundary() without return types