code: def testProbVectorDeterministicWithNoBatchDims(self):
      # 0 batch of deterministics on R^1.
      dist = det.VectorDeterministic([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 6 for calling the VectorDeterministicTest obj's underlying member method code with example usage: obj.testProbVectorDeterministicWithNoBatchDims() without return types