code: def testSampleNonPositiveParameters(self):
      d = exp_gamma_lib.ExpGamma([1.0, 2.0], 1.0, validate_args=False)
      seed_stream = test_util.test_seed_stream()
      samples = self.evaluate(d.sample(seed=seed_stream()))
      self.assertEqual(samples.shape, (2,))
      self.assertAllFinite(samples)
  
      d = exp_gamma_lib.ExpGamma([0.0, 2.0], 1.0, validate_args=False)
      samples = self.evaluate(d.sample(seed=seed_stream()))
      self.assertEqual(samples.shape, (2,))
      self.assertAllEqual(
          [s == -np.inf for s in samples], [True, False]
      )
  
      d = exp_gamma_lib.ExpGamma(
          [-0.001, 2.0], 1.0, validate_args=False
      )
      samples = self.evaluate(d.sample(seed=seed_stream()))
      self.assertEqual(samples.shape, (2,))
      self.assertAllEqual([np.isnan(s) for s in samples], [True, False])
  
      d = exp_gamma_lib.ExpGamma([1.0, -1.0], 1.0, validate_args=False)
      samples = self.evaluate(d.sample(seed=seed_stream()))
      self.assertEqual(samples.shape, (2,))
      self.assertAllEqual([np.isnan(s) for s in samples], [False, True])
  
      d = exp_gamma_lib.ExpGamma([1.0, 2.0], 0.0, validate_args=False)
      samples = self.evaluate(d.sample(seed=seed_stream()))
      self.assertEqual(samples.shape, (2,))
      self.assertAllPositiveInf(samples)
  
      d = exp_gamma_lib.ExpGamma([1.0, 2.0], -1.0, validate_args=False)
      samples = self.evaluate(d.sample(seed=seed_stream()))
      self.assertEqual(samples.shape, (2,))
      self.assertAllNan(samples)
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import misc
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.distributions import exp_gamma
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 13 for calling the ExpGammaTest obj's underlying member method code with example usage: obj.testSampleNonPositiveParameters() without return types