*/
@GwtCompatible
abstract class CommonPattern {
  public abstract CommonMatcher matcher(CharSequence t);

  public abstract String pattern();

  public abstract int flags();

  // Re-declare this as abstract to force subclasses to override.
  @Override
  public abstract String toString();

  public static CommonPattern compile(String pattern) {
    return Platform.compilePattern(pattern);
  }

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.J2ktIncompatible;
import org.jspecify.annotations.Nullable;

/**
 * Hidden superclass of {@link FluentFuture} that provides us a place to declare special GWT
 * versions of the {@link FluentFuture#catching(Class, com.google.common.base.Function)
 * FluentFuture.catching} family of methods. Those versions have slightly different signatures.
 */
@GwtCompatible

}

val runtimeAware: NamedDomainObjectProvider<DependencyScopeConfiguration> = configurations.dependencyScope("runtimeAware") {
    description = "All dependencies which should run in a Gradle context, and therefore must declare or inherit target runtime compatibility"
}

// Computes a map of all projects in the full Gradle distribution to their target runtime details file.

/// warning | Uyarı

`Field`'ın, diğerlerinin (`Query`, `Path`, `Body` vb.) aksine `fastapi`'den değil doğrudan `pydantic`'den import edildiğine dikkat edin.

///

## Model attribute'larını tanımlayın { #declare-model-attributes }

Ardından `Field`'ı model attribute'larıyla birlikte kullanabilirsiniz:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

{* ../../docs_src/bigger_applications/app_an_py310/routers/users.py hl[1,3] title["app/routers/users.py"] *}

### *Path operations* with `APIRouter` { #path-operations-with-apirouter }

And then you use it to declare your *path operations*.

Use it the same way you would use the `FastAPI` class:

{* ../../docs_src/bigger_applications/app_an_py310/routers/users.py hl[6,11,16] title["app/routers/users.py"] *}

/// warning | Попередження

Зверніть увагу, що `Field` імпортується безпосередньо з `pydantic`, а не з `fastapi`, як усе інше (`Query`, `Path`, `Body` тощо).

///

## Оголошення атрибутів моделі { #declare-model-attributes }

Потім ви можете використовувати `Field` з атрибутами моделі:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

  # To guarantee Maintained check is occasionally updated. See
  # https://github.com/ossf/scorecard/blob/main/docs/checks.md#maintained
  schedule:
    - cron: '26 3 * * 2'
  push:
    branches: [ "master" ]

# Declare default permissions as read only.
permissions: read-all

jobs:
  analysis:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    name: Scorecards analysis
    runs-on: ubuntu-latest

Essas funções podem ser declaradas com `async def` ou `def` normal.

### Evento `startup` { #startup-event }

Para adicionar uma função que deve rodar antes de a aplicação iniciar, declare-a com o evento `"startup"`:

{* ../../docs_src/events/tutorial001_py310.py hl[8] *}

Nesse caso, a função de manipulador do evento `startup` inicializará os itens do "banco de dados" (apenas um `dict`) com alguns valores.

Esto hará que `tags` sea una lista, aunque no declare el tipo de los elementos de la lista.

## Campos de lista con parámetro de tipo { #list-fields-with-type-parameter }

Pero Python tiene una forma específica de declarar listas con tipos internos, o "parámetros de tipo":

### Declarar una `list` con un parámetro de tipo { #declare-a-list-with-a-type-parameter }

## `Cookie` importieren { #import-cookie }

Importieren Sie zuerst `Cookie`:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[3] *}

## `Cookie`-Parameter deklarieren { #declare-cookie-parameters }

Deklarieren Sie dann die Cookie-Parameter mit derselben Struktur wie bei `Path` und `Query`.

Sie können den Defaultwert sowie alle zusätzlichen Validierungen oder Annotierungsparameter definieren: