/**
     * ProjectActivationSettings
     * @param selector the selector of a project, which can be the project directory, [groupId]:[artifactId] or :[artifactId]
     * @param activationSettings describes how/when to active or deactivate the project
     */
    public record ProjectActivationSettings(String selector, ActivationSettings activationSettings) {}

    /**
     * List of activated and deactivated projects.

{* ../../docs_src/websockets_/tutorial003_py310.py hl[79:81] *}

Para probarlo:

* Abre la aplicación con varias pestañas del navegador.
* Escribe mensajes desde ellas.
* Luego cierra una de las pestañas.

Eso lanzará la excepción `WebSocketDisconnect`, y todos los otros clientes recibirán un mensaje como:

```
Client #1596980209979 left the chat
```

import java.util.List;
import java.util.Map;
import java.util.Properties;

import static java.util.stream.Collectors.collectingAndThen;
import static java.util.stream.Collectors.toMap;

/**
 * Describes the environmental context used to determine the activation status of profiles.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")

  - `PodSpec.Container.ResizePolicy` (new object) gives users control over how their containers are resized.
  - `PodStatus.Resize` status describes the state of a requested Pod resize.
  - `PodStatus.ResourcesAllocated` describes node resources allocated to Pod.
  - `PodStatus.Resources` describes node resources applied to running containers by CRI.

### Detalhes Técnicos: `root_path` { #technical-details-root-path }

Quando você monta uma sub-aplicação como descrito acima, o FastAPI se encarrega de comunicar o path de montagem para a sub-aplicação usando um mecanismo da especificação ASGI chamado `root_path`.

TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in
sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces

   * value that are {@linkplain Range#isConnected connected} to this range.
   *
   * <p>The behavior of {@link #get(Comparable) get(k)} after calling this method is identical to
   * the behavior described in {@link #put(Range, Object) put(range, value)}, however the ranges
   * returned from {@link #asMapOfRanges} will be different if there were existing entries which
   * connect to the given range and value.
   *

        // Test constructor with long strings
        String type = "VeryLongTokenTypeNameForTestingPurposes";
        String message =
                "This is a very long error message that describes in detail why the access token is invalid and what went wrong during validation";
        InvalidAccessTokenException exception = new InvalidAccessTokenException(type, message);

        assertEquals(type, exception.getType());

Toda la **lógica** sobre cómo registrar los URLs para webhooks y el código para realmente enviar esas requests depende de ti. Lo escribes como quieras en **tu propio código**.

## Documentando webhooks con **FastAPI** y OpenAPI { #documenting-webhooks-with-fastapi-and-openapi }

)

// FileInfoHeader creates a partially-populated [Header] from fi.
// If fi describes a symlink, FileInfoHeader records link as the link target.
// If fi describes a directory, a slash is appended to the name.
//
// Since fs.FileInfo's Name method only returns the base name of
// the file it describes, it may be necessary to modify Header.Name
// to provide the full path name of the file.
//