docstr: Test the property on specific example, without relying on Hypothesis.
docstr_tok: ["Test","the","property","on","specific","example",",","without","relying","on","Hypothesis","."]
code: def testNumpySmoke(self):
      """Test the property on specific example, without relying on Hypothesis."""
      init = (12, np.random.randn(3, 2, 2).astype(np.float32))
      ops = [
          ("pop", [False, False, True]),
          ("push", [True, False, True]),
          (
              "update",
              np.ones((3, 2, 2), dtype=np.float32),
              [True, True, False],
          ),
          ("pop", [True, False, True]),
      ]
      self.check_same_results(init, ops, var_init)
  
file_path: probability/tensorflow_probability/python/experimental/auto_batching/numpy_backend_test.py
imports: import hypothesis
  from hypothesis import strategies
  from hypothesis.extra import numpy
  import numpy
  from tensorflow_probability.python.experimental.auto_batching import backend_test_lib
  from tensorflow_probability.python.experimental.auto_batching import instructions
  from tensorflow_probability.python.experimental.auto_batching import numpy_backend
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the NumpyVariableTest obj's underlying member method code with example usage: obj.testNumpySmoke() without return types