code: def test_runtime_assert_inline_constraints_for_item(self) -> None:
      class M(torch.nn.Module):
          def __init__(self):
              super().__init__()
  
          def forward(self, x):
              b = x.item()
              torch._constrain_as_value(b, min=2, max=5)
              return b
  
      x = torch.tensor([2])
      mod = M()
      ep = export(mod, (x,))
  
      with self.assertRaisesRegex(
          RuntimeError,
          r"_local_scalar_dense is outside of inline constraint \[2, 5\].",
      ):
          ep(torch.tensor([6]))
  
      new_inp = torch.tensor([5])
      self.assertEqual(mod(new_inp), ep(new_inp))
  
imports: import math
  import unittest
  from typing import List, Set
  import operator
  import torch
  from torch.testing._internal.common_utils import run_tests, TestCase
  from torch.testing import FileCheck
  from torch._dynamo.eval_frame import is_dynamo_supported
  from torch.export import export
  from torch._export.pass_base import _ExportPassBaseDeprecatedDoNotUse
  from torch._export.passes.replace_view_ops_with_view_copy_ops_pass import is_view_op, get_view_copy_of_view_op, ReplaceViewOpsWithViewCopyOpsPass
  from torch._export.passes.functionalize_side_effectful_ops_pass import _FunctionalizeSideEffectfulOpsPass
  from functorch.experimental.control_flow import cond
  from torch.fx.passes.operator_support import OperatorSupport
  from torch.fx.passes.infra.partitioner import Partition
  from torch.utils import _pytree
label_desc: Use image node_id 8 for calling the TestPasses obj's underlying member method code with example usage: obj.test_runtime_assert_inline_constraints_for_item() and returns: b