code: def test_runtime_assert_inline_constraints_for_nonzero(self) -> None:
      class M(torch.nn.Module):
          def __init__(self):
              super().__init__()
  
          def forward(self, x):
              b = x.nonzero()
              torch._constrain_as_value(b.shape[0], min=3, max=5)
              return b
  
      x = torch.tensor([2, 1, 2, 3, 5, 0])
  
      mod = M()
      dim0_x = torch.export.Dim("dim0_x")
      ep = torch.export.export(
          mod, (x,), dynamic_shapes={"x": {0: dim0_x}}
      )
  
      num_assert = count_call_function(
          ep.graph, torch.ops.aten._assert_async.msg
      )
      num_scalar_tensor = count_call_function(
          ep.graph, torch.ops.aten.scalar_tensor.default
      )
  
      self.assertEqual(num_assert, 2)
      self.assertEqual(num_scalar_tensor, 2)
  
      with self.assertRaisesRegex(
          RuntimeError,
          r"nonzero.shape\[0\] is outside of inline constraint \[3, 5\].",
      ):
          ep(torch.tensor([1, 1, 0, 0, 0]))
  
      with self.assertRaisesRegex(
          RuntimeError,
          r"nonzero.shape\[0\] is outside of inline constraint \[3, 5\].",
      ):
          ep(torch.ones(6))
  
      new_inp = torch.tensor([1, 1, 1, 1])
      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 9 for calling the TestPasses obj's underlying member method code with example usage: obj.test_runtime_assert_inline_constraints_for_nonzero() and returns: b