code: def testUseDummyVariableForCall(self):
      def my_type(args):
          return args[0], args[0]
  
      def callee(x):
          return x, x + 1
  
      def function(x):
          _, y = callee(x)
          return y, y + 1
  
      ctx = frontend.Context()
      ctx.batch_uncurried(callee, my_type)
      batched = ctx.batch_uncurried(function, my_type)
      inputs = np.array([12, 13, 14], dtype=np.int32)
      self.assertAllEqual(
          [[13, 14, 15], [14, 15, 16]],
          self.evaluate(
              batched(inputs, max_stack_depth=5, backend=TF_BACKEND)
          ),
      )
  
imports: import collections
  from absl import logging
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.auto_batching import frontend
  from tensorflow_probability.python.experimental.auto_batching import instructions
  from tensorflow_probability.python.experimental.auto_batching import numpy_backend
  from tensorflow_probability.python.experimental.auto_batching import tf_backend
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 16 for calling the AutoGraphFrontendTest obj's underlying member method code with example usage: obj.testUseDummyVariableForCall() and returns: args,  args, x,  unknown, y,  unknown