code: def testLimitedRetracing(self):
      trace_count = [0]
  
      @def_function.function
      def f(opt):
          trace_count[0] += 1
          return opt.get_value()
  
      opt1 = optional_ops.Optional.from_value(
          constant_op.constant(37.0)
      )
      opt2 = optional_ops.Optional.from_value(
          constant_op.constant(42.0)
      )
  
      for _ in range(10):
          self.assertEqual(self.evaluate(f(opt1)), 37.0)
          self.assertEqual(self.evaluate(f(opt2)), 42.0)
          self.assertEqual(trace_count[0], 1)
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import iterator_ops
  from tensorflow.python.data.ops import optional_ops
  from tensorflow.python.data.util import structure
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 14 for calling the OptionalTest obj's underlying member method code with example usage: obj.testLimitedRetracing() and returns: opt