code: def test_flatten_unflatten_ordereddict(
      self, pytree_impl, gen_expected_fn
  ):
      def run_test(odict):
          expected_spec = gen_expected_fn(odict)
          values, treespec = pytree_impl.tree_flatten(odict)
          self.assertIsInstance(values, list)
          self.assertEqual(values, list(odict.values()))
          self.assertEqual(treespec, expected_spec)
  
          unflattened = pytree_impl.tree_unflatten(values, treespec)
          self.assertEqual(unflattened, odict)
          self.assertIsInstance(unflattened, OrderedDict)
  
      od = OrderedDict()
      run_test(od)
  
      od["b"] = 1
      od["a"] = torch.tensor(3.14)
      run_test(od)
  
imports: import inspect
  import re
  import unittest
  from collections import defaultdict, deque, namedtuple, OrderedDict, UserDict
  import torch
  import torch.utils._pytree
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, IS_FBCODE, parametrize, run_tests, subtest, TEST_WITH_TORCHDYNAMO, TestCase
label_desc: Use image node_id 7 for calling the TestGenericPytree obj's underlying member method code with example usage: obj.test_flatten_unflatten_ordereddict(pytree_impl, gen_expected_fn) without return types