code: def testSingleIfTF(self):
      def _asserts_fn(f):
          ph = tf.compat.v1.placeholder_with_default(
              np.int64([-3, 7]), shape=None
          )
          results = self.evaluate(
              [
                  f(tf.cast([1], tf.int64)),
                  f(tf.cast([3], tf.int64)),
                  f(tf.cast([0, 5, -15], tf.int64)),
                  f(ph),
              ]
          )
          self.assertAllEqual([0], results[0])
          self.assertAllEqual([2], results[1])
          self.assertAllEqual([0, 2, 0], results[2])
          self.assertAllEqual([0, 2], results[3])
  
      self._tfTestHelper(_asserts_fn, _single_if_execute)
  
imports: import functools
  from absl import flags
  import numpy
  import tensorflow.compat.v1
  from tensorflow_probability.python.experimental.auto_batching import numpy_backend
  from tensorflow_probability.python.experimental.auto_batching import test_programs
  from tensorflow_probability.python.experimental.auto_batching import tf_backend
  from tensorflow_probability.python.experimental.auto_batching import virtual_machine
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 5 for calling the VMTest obj's underlying member method code with example usage: obj.testSingleIfTF() without return types