code: def test_unnormalized_log_prob_kwargs(self):
      dist = increment_log_prob.IncrementLogProb(
          lambda value: value, log_prob_increment_kwargs=dict(value=5.0)
      )
      self.assertAllClose(5.0, dist.unnormalized_log_prob(()))
  
file_path: probability/tensorflow_probability/python/experimental/distributions/increment_log_prob_test.py
imports: from absl.testing import parameterized
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import log_prob_ratio
  from tensorflow_probability.python.experimental.distributions import increment_log_prob
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 5 for calling the IncrementLogProbTest obj's underlying member method code with example usage: obj.test_unnormalized_log_prob_kwargs() without return types