IntervalRule rule = helper.ruleList.get(0);
        assertEquals(1000, rule.getDelay());
    }

    public void test_addIntervalRule_emptyDays() {
        IntervalControlHelper helper = new IntervalControlHelper();
        helper.addIntervalRule("10:00", "18:00", "", 1000);

        assertEquals(1, helper.ruleList.size());
        IntervalRule rule = helper.ruleList.get(0);

 *     processedCount.incrementAndGet();
 *     inFlight.remove(name);
 *     lastProcessed.set(name);
 *     logger.info("Done with {0}", name);
 *   }
 * }, executor);
 * }
 *
 * <h3>How to get an instance</h3>
 *
 * <p>We encourage you to return {@code ListenableFuture} from your methods so that your users can
 * take advantage of the {@linkplain Futures utilities built atop the class}. The way that you will

👩‍💻: `johndoe`

🔐: `secret`

<img src="/img/tutorial/security/image04.png">

⏮️ 🔗 ⚙️, 👆 🔜 👀 ⚫️ 💖:

<img src="/img/tutorial/security/image05.png">

### 🤚 👆 👍 👩‍💻 💽

🔜 ⚙️ 🛠️ `GET` ⏮️ ➡ `/users/me`.

👆 🔜 🤚 👆 👩‍💻 📊, 💖:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,

Enviar un body con un request `GET` tiene un comportamiento indefinido en las especificaciones, no obstante, es soportado por FastAPI, solo para casos de uso muy complejos/extremos.

Como no se recomienda, la documentación interactiva con Swagger UI no mostrará la documentación para el body cuando se usa `GET`, y los proxies intermedios podrían no soportarlo.

///

* Créez un fichier `main.py` avec :

```Python
from typing import Optional

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Optional[str] = None):
    return {"item_id": item_id, "q": q}
```

        assertTrue(createIndexResponse.isAcknowledged());
    }

    private static void initializeSuggestSettings() throws Exception {
        // Create suggester and get settings
        Suggester suggester = Suggester.builder().build(client, "test");
        settings = suggester.settings();

        // Store analyzer settings
        storeAnalyzerSettings();
    }

        try {
            final RESULT result = entityType.newInstance();
            result.setName(DfTypeUtil.toString(source.get("name")));
            result.setAttributes(source.entrySet()
                    .stream()
                    .filter(e -> !"name".equals(e.getKey()))
                    .map(e -> new Pair<>(e.getKey(), (String) e.getValue()))

  @SuppressWarnings({"GoodTime-ApiWithNumericTimeUnit", "GoodTime-DecomposeToPrimitive"})
  @IgnoreJRERequirement
  static long toNanosSaturated(Duration duration) {
    // Using a try/catch seems lazy, but the catch block will rarely get invoked (except for
    // durations longer than approximately +/- 292 years).
    try {
      return duration.toNanos();
    } catch (ArithmeticException tooBig) {

  }

  @Override
  public int compare(T left, T right) {
    return rank(left) - rank(right); // safe because both are nonnegative
  }

  private int rank(T value) {
    Integer rank = rankMap.get(value);
    if (rank == null) {
      throw new IncomparableValueException(value);
    }
    return rank;
  }

  @Override
  public boolean equals(@Nullable Object object) {

  private final String loggerName;
  private volatile @Nullable Logger logger;

  LazyLogger(Class<?> ownerOfLogger) {
    this.loggerName = ownerOfLogger.getName();
  }

  Logger get() {
    /*
     * We use double-checked locking. We could the try racy single-check idiom, but that would
     * depend on Logger to not contain mutable state.
     *