code: def testBetaCdfBeyondSupport(self):
      cdf = beta.Beta(2.0, 3.0, validate_args=False).cdf([-3.7, 1.03])
      self.assertAllEqual([0.0, 1.0], self.evaluate(cdf))
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 26 for calling the BetaTest obj's underlying member method code with example usage: obj.testBetaCdfBeyondSupport() without return types