code: def test_pdf_on_boundary(self):
      d = noncentral_chi2.NoncentralChi2(
          df=[2.0, 4.0, 1.0],
          noncentrality=[0.0, 1.0, 2.0],
          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: from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow
  from tensorflow_probability.python.distributions import noncentral_chi2
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the NoncentralChi2Test obj's underlying member method code with example usage: obj.test_pdf_on_boundary() without return types