code: def test_safe_value_for_distribution(self):
      x = self.evaluate(
          inflated._safe_value_for_distribution(
              gamma.Gamma(concentration=3.0, rate=2.0)
          )
      )
      lp, grad = gradient.value_and_gradient(
          lambda p: gamma.Gamma(concentration=p, rate=2.0).log_prob(x),
          3.0,
      )
      self.assertAllFinite(lp)
      self.assertAllFinite(grad)
  
file_path: probability/tensorflow_probability/python/distributions/inflated_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import inflated
  from tensorflow_probability.python.distributions import lognormal
  from tensorflow_probability.python.distributions import negative_binomial
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.experimental.util import trainable
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 7 for calling the DistributionsTest obj's underlying member method code with example usage: obj.test_safe_value_for_distribution() without return types