code: def testSampleWithPartiallyDefinedShapeEndingInOne(self):
      b = [[0.01, 0.1, 1.0, 2], [5.0, 10.0, 2.0, 3]]
      pdf = self.evaluate(
          sigmoid_beta.SigmoidBeta(1.0, b, validate_args=True).prob(0.0)
      )
      self.assertAllEqual(
          np.ones_like(pdf, dtype=np.bool_), np.isfinite(pdf)
      )
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import sigmoid_beta
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 9 for calling the SigmoidBetaTest obj's underlying member method code with example usage: obj.testSampleWithPartiallyDefinedShapeEndingInOne() without return types