code: def testParetoParetoKLInfinite(self):
      a = pareto.Pareto(
          concentration=1.0, scale=1.0, validate_args=True
      )
      b = pareto.Pareto(
          concentration=1.0, scale=2.0, validate_args=True
      )
  
      kl = kullback_leibler.kl_divergence(a, b)
      kl_ = self.evaluate(kl)
      self.assertAllEqual(np.inf, kl_)
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import pareto
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 24 for calling the ParetoTest obj's underlying member method code with example usage: obj.testParetoParetoKLInfinite() without return types