code: def testSupportBijectorOutsideRange(self):
      low = np.array([1.0, 2.0, 3.0, -5.0]).astype(np.float32)
      loc = np.array([4.0, 4.0, 4.0, -2.0]).astype(np.float32)
      high = np.array([6.0, 7.0, 6.0, 1.0]).astype(np.float32)
      dist = truncated_normal.TruncatedNormal(
          loc, scale=2.0, low=low, high=high, validate_args=False
      )
      eps = 1e-6
      x = np.array([1.0 - eps, 1.5, 6.0 + eps, -5.0 - eps]).astype(
          np.float32
      )
      bijector_inverse_x = (
          dist.experimental_default_event_space_bijector().inverse(x)
      )
      self.assertAllNan(self.evaluate(bijector_inverse_x))
  
imports: import itertools
  import unittest
  from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import truncated_normal
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 19 for calling the TruncatedNormalStandaloneTestCase obj's underlying member method code with example usage: obj.testSupportBijectorOutsideRange() without return types