code: def test_flatten_unflatten_tuple(self, pytree_impl, gen_expected_fn):
      def run_test(tup):
          expected_spec = gen_expected_fn(tup)
          values, treespec = pytree_impl.tree_flatten(tup)
          self.assertIsInstance(values, list)
          self.assertEqual(values, list(tup))
          self.assertEqual(treespec, expected_spec)
  
          unflattened = pytree_impl.tree_unflatten(values, treespec)
          self.assertEqual(unflattened, tup)
          self.assertIsInstance(unflattened, tuple)
  
      run_test(())
      run_test((1.0,))
      run_test((1.0, 2))
      run_test((torch.tensor([1.0, 2]), 2, 10, 9, 11))
  
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 4 for calling the TestGenericPytree obj's underlying member method code with example usage: obj.test_flatten_unflatten_tuple(pytree_impl, gen_expected_fn) without return types