public IntervalRule(final String from, final String to, final String days, final long delay) {
            final int[] fints = parseTime(from);
            fromHours = fints[0];
            fromMinutes = fints[1];
            final int[] tints = parseTime(to);
            toHours = tints[0];
            toMinutes = tints[1];
            final String[] values = days.split(",");
            final List<Integer> list = new ArrayList<>();

 *
 * @author Kevin Bourrillion
 * @since 1.0
 */
@GwtCompatible(emulated = true)
@ElementTypesAreNonnullByDefault
public final class Ints extends IntsMethodsForWeb {
  private Ints() {}

  /**
   * The number of bytes required to represent a primitive {@code int} value.
   *
   * <p><b>Java 8+ users:</b> use {@link Integer#BYTES} instead.
   */

                documentationRoot = project.layout.projectDirectory.dir('docsRoot')
                javadocRoot = documentationRoot.dir('javadoc')
            }
        """
    }

    def "finds broken section links"() {
        given:
        sampleDoc << """
=== Dead Section Links
This section doesn't exist: <<missing_section>>
Also see this one, which is another dead link: <<other_missing_section>>
        """

It had automatic data validation, data serialization and OpenAPI schema generation based on the same type hints in several places.

Python has support for optional "type hints" (also called "type annotations").

These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.

By declaring types for your variables, editors and tools can give you better support.

    assertThat(Ints.contains(ARRAY234, (int) 3)).isTrue();
    assertThat(Ints.contains(ARRAY234, (int) 4)).isTrue();
  }

  public void testIndexOf() {
    assertThat(Ints.indexOf(EMPTY, (int) 1)).isEqualTo(-1);
    assertThat(Ints.indexOf(ARRAY1, (int) 2)).isEqualTo(-1);
    assertThat(Ints.indexOf(ARRAY234, (int) 1)).isEqualTo(-1);

C'était l'une des premières implémentations d'un framework utilisant les type hints Python pour déclarer les paramètres
et les requêtes que j'ai vues (avant NestJS et Molten). Je l'ai trouvé plus ou moins en même temps que Hug. Mais APIStar utilisait le standard OpenAPI.

Il disposait de la validation automatique, sérialisation des données et d'une génération de schéma OpenAPI basée sur les mêmes type hints à plusieurs endroits.

  - name: suggest
    description: Suggest operations
  - name: favorite
    description: Favorite operations
paths:
  /documents:
    get:
      tags:
        - search
      summary: Finds documents by query
      description: Finds documents by search conditions
      operationId: searchDocuments
      parameters:
        - name: q
          in: query
          description: Search words
          required: false

Estos **type hints** son una nueva sintaxis, desde Python 3.6+, que permite declarar el <abbr title="por ejemplo: str, int, float, bool">tipo</abbr> de una variable.

Usando las declaraciones de tipos para tus variables, los editores y otras herramientas pueden proveerte un soporte mejor.

Daarnaast betekent het ook dat je code zeer verenigbaar zal zijn met veel andere Python-hulpmiddelen en -pakketten. 🚀

///

## Type hints in **FastAPI**

**FastAPI** maakt gebruik van type hints om verschillende dingen te doen.

Met **FastAPI** declareer je parameters met type hints en krijg je:

* **Editor ondersteuning**.
* **Type checks**.

...en **FastAPI** gebruikt dezelfde declaraties om: