И тогда вам не придётся задумываться о названиях вроде `Optional` и `Union`. 😎

#### Generic-типы { #generic-types }

Типы, которые принимают параметры типов в квадратных скобках, называются **Generic-типами** или **Generics**, например:

//// tab | Python 3.10+

Вы можете использовать те же встроенные типы как generics (с квадратными скобками и типами внутри):

* `list`
* `tuple`
* `set`
* `dict`

And then you won't have to worry about names like `Optional` and `Union`. 😎

#### Generic types { #generic-types }

These types that take type parameters in square brackets are called **Generic types** or **Generics**, for example:

//// tab | Python 3.10+

You can use the same builtin types as generics (with square brackets and types inside):

* `list`
* `tuple`
* `set`
* `dict`

### `///` admonitions

1) Keep the admonition keyword in English (do not translate `note`, `tip`, etc.).
2) Many Traditional Chinese docs currently omit titles in `///` blocks; that is OK.
3) If a generic title is present, prefer these canonical titles:

- `/// note | 注意`

Notes:

- `details` blocks exist; keep `/// details` as-is and translate only the title after `|`.
- Example canonical titles used in existing docs:

* **`400 - 499`** are for "Client error" responses. These are the second type you would probably use the most.
    * An example is `404`, for a "Not Found" response.
    * For generic errors from the client, you can just use `400`.

Und dann müssen Sie sich nicht mehr um Namen wie `Optional` und `Union` kümmern. 😎

#### Generische Typen { #generic-types }

Diese Typen, die Typ-Parameter in eckigen Klammern akzeptieren, werden **generische Typen** oder **Generics** genannt.

//// tab | Python 3.10+

Sie können die eingebauten Typen als Generics verwenden (mit eckigen Klammern und Typen darin):

* `list`
* `tuple`
* `set`
* `dict`

import org.commonmark.renderer.text.TextContentRenderer;

/**
 * Extracts text content and metadata from Markdown files.
 * This extractor provides better structured data extraction compared to Tika's generic text extraction.
 *
 * <p>Features:
 * <ul>
 *   <li>YAML front matter metadata extraction</li>
 *   <li>Heading structure extraction</li>
 *   <li>Link URL extraction</li>
 *   <li>Code block content extraction</li>

RequestErrorModel: type[BaseModel] = create_model("Request")
WebSocketErrorModel: type[BaseModel] = create_model("WebSocket")


class FastAPIError(RuntimeError):
    """
    A generic, FastAPI-specific error.
    """


class DependencyScopeError(FastAPIError):
    """
    A dependency declared that it depends on another dependency with an invalid
    (narrower) scope.
    """

     * Maven-based resolution. In more detail, this method configures settings relevant for the processing of dependency
     * graphs, most other settings remain at their generic default value. Use the various setters to further configure
     * the session with authentication, mirror, proxy and other information required for your environment. At least,

        return new LookupContext(invokerRequest, true, invokerRequest.options().orElse(null));
    }

    public static final int OK = 0; // OK
    public static final int ERROR = 1; // "generic" error

    @Override
    protected int execute(LookupContext context) throws Exception {
        // set up JLine built-in commands

  public void testAnd_serializationIterable() {
    checkSerialization(Predicates.and(Arrays.asList(TRUE, FALSE)));
  }

  public void testAnd_arrayDefensivelyCopied() {
    @SuppressWarnings("unchecked") // generic arrays
    Predicate<Object>[] array = (Predicate<Object>[]) new Predicate<?>[] {Predicates.alwaysFalse()};
    Predicate<Object> predicate = Predicates.and(array);
    assertFalse(predicate.apply(1));