code: def testProbWithNoBatchDims(self):
      dist = det.Deterministic(0.0, validate_args=True)
      self.assertAllClose(1.0, self.evaluate(dist.prob(0.0)))
      self.assertAllClose(0.0, self.evaluate(dist.prob(2.0)))
      self.assertAllClose(
          [1.0, 0.0], self.evaluate(dist.prob([0.0, 2.0]))
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import deterministic
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the DeterministicTest obj's underlying member method code with example usage: obj.testProbWithNoBatchDims() without return types