code: def test_set(self):
      config.max_fusion_size = 13337
      self.assertEqual(config.max_fusion_size, 13337)
      self.assertEqual(
          config.shallow_copy_dict()["max_fusion_size"], 13337
      )
      config.max_fusion_size = 32
      self.assertEqual(config.max_fusion_size, 32)
  
      # a nested config
      prior = config.triton.cudagraphs
      config.triton.cudagraphs = not prior
      self.assertEqual(config.triton.cudagraphs, not prior)
      self.assertEqual(
          config.shallow_copy_dict()["triton.cudagraphs"], not prior
      )
  
imports: import math
  import unittest
  import torch
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._inductor import config
  from torch.testing._internal.inductor_utils import HAS_CPU
label_desc: Use image node_id 3 for calling the TestInductorConfig obj's underlying member method code with example usage: obj.test_set() without return types