code: def testClosingOverTensorDoesntRaise(self):
      x = tf.constant(0.0)
  
      def f(y):
          return y * x
  
      arg_types = [
          inst.Type([inst.TensorType(shape=[], dtype=np.float32)])
      ]
      TF_BACKEND.run_on_dummies(f, arg_types)
  
file_path: probability/tensorflow_probability/python/experimental/auto_batching/tf_backend_test.py
imports: import hypothesis
  from hypothesis import strategies
  from hypothesis.extra import numpy
  import numpy
  import tensorflow.compat.v2
  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 tf_backend
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the TFVariableTest obj's underlying member method code with example usage: obj.testClosingOverTensorDoesntRaise() and returns: unknown