checkPublicSuffix("biz", null)
    checkPublicSuffix("domain.biz", "domain.biz")
    checkPublicSuffix("b.domain.biz", "domain.biz")
    checkPublicSuffix("a.b.domain.biz", "domain.biz")
    // TLD with some 2-level rules.
    checkPublicSuffix("com", null)
    checkPublicSuffix("example.com", "example.com")
    checkPublicSuffix("b.example.com", "example.com")
    checkPublicSuffix("a.b.example.com", "example.com")

            );

            tasks.named("composeUp").configure(t -> {
                // Avoid running docker-compose tasks in parallel in CI due to some issues on certain Linux distributions
                if (BuildParams.isCi()) {
                    t.usesService(dockerComposeThrottle);
                }
                t.mustRunAfter(preProcessFixture);

            List<UpgradedProperty> upgradedProperties = new Gson().fromJson(reader, new TypeToken<List<UpgradedProperty>>() {}.getType());
            // FIXME There should be no duplicates, yet there are some
            return upgradedProperties.stream()
                .distinct()
                .collect(ImmutableList.toImmutableList());
        } catch (IOException e) {

    values =
        copyToList(
            getSubjectGenerator()
                .getSampleElements(getSubjectGenerator().getCollectionSize().getNumElements()));
    sort(values, navigableSet.comparator());

    // some tests assume SEVERAL == 3
    if (values.size() >= 1) {
      a = values.get(0);
      if (values.size() >= 3) {
        b = values.get(1);
        c = values.get(2);
      }
    }
  }

    disabled.setAccessible(true);
    disabled.set(null, true);

    // Now make a parallel FRQ and an associated FinalizableWeakReference to an object, in order to
    // exercise some classes from the parallel ClassLoader.
    AtomicReference<Object> sepFrqA =
        new AtomicReference<Object>(sepFrqC.getDeclaredConstructor().newInstance());

    @Mock
    private Properties mockProperties;

    private PropertyConfiguration config;

    @BeforeEach
    void setUp() throws CIFSException {
        Properties props = new Properties();
        // Set some default test properties
        props.setProperty("jcifs.smb.client.username", "testuser");
        props.setProperty("jcifs.smb.client.password", "testpass");
        props.setProperty("jcifs.smb.client.domain", "testdomain");

	// This will make `test/a` and `test/b` share listings if they are concurrent.
	// Enabling this will make cache sharing more likely and cause less IO,
	// but may cause additional latency to some calls.
	metacacheSharePrefix = false
)

//go:generate msgp -file $GOFILE -unexported

// metacache contains a tracked cache entry.
type metacache struct {

{* ../../docs_src/background_tasks/tutorial001_py310.py hl[14] *}

`.add_task()` 接收以下参数：

* 在后台运行的任务函数(`write_notification`)。
* 应按顺序传递给任务函数的任意参数序列(`email`)。
* 应传递给任务函数的任意关键字参数(`message="some notification"`)。

## 依赖注入 { #dependency-injection }

使用 `BackgroundTasks` 也适用于依赖注入系统，你可以在多个级别声明 `BackgroundTasks` 类型的参数：在 *路径操作函数* 里，在依赖中(可依赖)，在子依赖中，等等。

**FastAPI** 知道在每种情况下该做什么以及如何复用同一对象，因此所有后台任务被合并在一起并且随后在后台运行：

  TFE_TensorHandle* h1_task0 = TestMatrixTensorHandle(ctx);
  std::vector<TFE_TensorHandle*> handles_task0;
  if (heavy_load_on_streaming_rpc) {
    // Send 50 tensor copy requests to simulate that there have been some RPC
    // requests been enqueued.
    for (int i = 0; i < 50; ++i) {
      handles_task0.push_back(TestMatrixTensorHandle(ctx));
    }
  }
  const char task1_name[] = "/job:localhost/replica:0/task:1/device:CPU:0";

        assertTrue(entry.isComplete());
        assertFalse(entry.hasChanges()); // Changes are cleared when marked complete
    }

    @Test
    public void testInvalidate() {
        // Add some children
        entry.updateChild("file1.txt", 1024L, 1000L, false, 0x20, 500L, 800L);
        entry.updateChild("file2.txt", 2048L, 2000L, false, 0x20, 600L, 900L);
        entry.markComplete();