*/
  @Test
  fun reusePlanAndNewConnectRace() {
    val plan0 = routePlanner.addPlan()
    plan0.tcpConnectDelayNanos = 250.ms
    plan0.yieldBeforeTcpConnectReturns = true // Yield so we get a chance to take plan1...
    val plan1 = routePlanner.addPlan()
    plan1.connectState = TLS_CONNECTED
    plan1.yieldBeforePlanReturns = true // ... but let plan 0 connect before we act upon it.

## Alternativ (alt): `Query` als Defaultwert

Frühere Versionen von FastAPI (vor <abbr title="vor 2023-03">0.95.0</abbr>) benötigten `Query` als Defaultwert des Parameters, statt es innerhalb von `Annotated` unterzubringen. Die Chance ist groß, dass Sie Quellcode sehen, der das immer noch so macht, darum erkläre ich es Ihnen.

/// tip | Tipp

/// info | Thông tin về "`@decorator`"

Cú pháp `@something` trong Python được gọi là một "decorator".

Bạn đặt nó trên một hàm. Giống như một chiếc mũ xinh xắn (Tôi ddonas đó là lí do mà thuật ngữ này ra đời).

Một "decorator" lấy một hàm bên dưới và thực hiện một vài thứ với nó.

   * (AbstractFutureState class initialization can log, and that logging could in theory call into
   * AbstractFuture, which wouldn't yet have had the chance to perform any class initialization of
   * its own.)
   */

  /** A special value to represent {@code null}. */
  static final Object NULL = new Object();

  /*

```console
$ pip install "fastapi[all]"
---> 100%
```

</div>

/// info

In Pydantic v1 it came included with the main package. Now it is distributed as this independent package so that you can choose to install it or not if you don't need that functionality.

///

### Create the `Settings` object { #create-the-settings-object }

 * services.
 *
 * Please read <a href="../../../httpclient.html">Using jCIFS NTLM Authentication for HTTP Connections</a>.
 *
 * Warning: Do not use this if there is a chance that you might have multiple connections (even plain
 * HttpURLConnections, for the complete JRE) to the same host with different or mixed anonymous/authenticated
 * credentials. Authenticated connections can/will be reused.
 *

   * (AbstractFutureState class initialization can log, and that logging could in theory call into
   * AbstractFuture, which wouldn't yet have had the chance to perform any class initialization of
   * its own.)
   */

  /** A special value to represent {@code null}. */
  static final Object NULL = new Object();

  /*

Então, durante esse tempo, o computador pode ir e fazer outro trabalho, enquanto o "arquivo lento" 📝 termina.

Então o computador / programa 🤖 irá voltar sempre que tiver uma chance, seja porque ele está esperando novamente, ou quando ele 🤖 terminar todo o trabalho que tem até esse ponto. E ele 🤖 irá ver se alguma das tarefas que estava esperando já terminaram de fazer o que quer que tinham que fazer.

  }

  private static final class PaddedLock extends ReentrantLock {
    /*
     * Padding from 40 into 64 bytes, same size as cache line. Might be beneficial to add a fourth
     * long here, to minimize chance of interference between consecutive locks, but I couldn't
     * observe any benefit from that.
     */
    long unused1;
    long unused2;
    long unused3;

    PaddedLock() {
      super(false);

As Python advances, **newer versions** come with improved support for these type annotations and in many cases you won't even need to import and use the `typing` module to declare the type annotations.

If you can choose a more recent version of Python for your project, you will be able to take advantage of that extra simplicity.

In all the docs there are examples compatible with each version of Python (when there's a difference).