private volatile long autoIncrementStepNanos;

  /** Advances the ticker value by {@code time} in {@code timeUnit}. */
  @SuppressWarnings("GoodTime") // should accept a java.time.Duration
  @CanIgnoreReturnValue
  public FakeTicker advance(long time, TimeUnit timeUnit) {
    return advance(timeUnit.toNanos(time));
  }

  /** Advances the ticker value by {@code nanoseconds}. */

  private volatile long autoIncrementStepNanos;

  /** Advances the ticker value by {@code time} in {@code timeUnit}. */
  @SuppressWarnings("GoodTime") // should accept a java.time.Duration
  @CanIgnoreReturnValue
  public FakeTicker advance(long time, TimeUnit timeUnit) {
    return advance(timeUnit.toNanos(time));
  }

  /** Advances the ticker value by {@code nanoseconds}. */

# Advanced Dependencies

## Parameterized dependencies

All the dependencies we have seen are a fixed function or class.

But there could be cases where you want to be able to set parameters on the dependency, without having to declare many different functions or classes.

Let's imagine that we want to have a dependency that checks if the query parameter `q` contains some fixed content.

But we want to be able to parameterize that fixed content.

# Path Operation Advanced Configuration

## OpenAPI operationId

/// warning

If you are not an "expert" in OpenAPI, you probably don't need this.

///

You can set the OpenAPI `operationId` to be used in your *path operation* with the parameter `operation_id`.

You would have to make sure that it is unique for each operation.

```Python hl_lines="6"
{!../../docs_src/path_operation_advanced_configuration/tutorial001.py!}
```

```Python hl_lines="6"
{!../../docs_src/path_operation_advanced_configuration/tutorial005.py!}
```

🚥 👆 📂 🏧 🛠️ 🩺, 👆 ↔ 🔜 🎦 🆙 🔝 🎯 *➡ 🛠️*.

<img src="/img/tutorial/path-operation-advanced-configuration/image01.png">

&amp; 🚥 👆 👀 📉 🗄 ( `/openapi.json` 👆 🛠️), 👆 🔜 👀 👆 ↔ 🍕 🎯 *➡ 🛠️* 💁‍♂️:

```JSON hl_lines="22"
{
    "openapi": "3.0.2",
    "info": {
        "title": "FastAPI",

    this.nodeIterator = graph.nodes().iterator();
  }

  /**
   * Called after {@link #successorIterator} is exhausted. Advances {@link #node} to the next node
   * and updates {@link #successorIterator} to iterate through the successors of {@link #node}.
   */
  final boolean advance() {
    checkState(!successorIterator.hasNext());
    if (!nodeIterator.hasNext()) {
      return false;
    }

{!../../docs_src/path_operation_advanced_configuration/tutorial005.py!}
```

Si vous ouvrez la documentation automatique de l'API, votre extension apparaîtra au bas du *chemin* spécifique.

<img src="/img/tutorial/path-operation-advanced-configuration/image01.png">

Et dans le fichier openapi généré (`/openapi.json`), vous verrez également votre extension dans le cadre du *chemin* spécifique :

```JSON hl_lines="22"
{
    "openapi": "3.0.2",

```

Wenn Sie die automatische API-Dokumentation öffnen, wird Ihre Erweiterung am Ende der spezifischen *Pfadoperation* angezeigt.

<img src="/img/tutorial/path-operation-advanced-configuration/image01.png">

Und wenn Sie die resultierende OpenAPI sehen (unter `/openapi.json` in Ihrer API), sehen Sie Ihre Erweiterung auch als Teil der spezifischen *Pfadoperation*:

```JSON hl_lines="22"
{

Shinsuke Sugaya <******@****.***> 1680155124 +0900

Sebastián Ramírez <******@****.***> 1728247014 +0200