.put(GenericDeclaration.class, Object.class)
          .put(Type.class, Object.class)
          .build();

  /**
   * type → implementation. Inherently mutable interfaces and abstract classes are mapped to their
   * default implementations and are "new"d upon get().
   */
  private static final ConcurrentMap<Class<?>, Class<?>> implementations = Maps.newConcurrentMap();

   * on arbitrary {@link Map} classes.
   *
   * <p>The {@code factory}-generated and {@code backingMap} classes determine the table iteration
   * order. However, the table's {@code row()} method returns instances of a different class than
   * {@code factory.get()} does.
   *
   * <p>Call this method only when the simpler factory methods in classes like {@link

  optional k8s.io.api.core.v1.NodeSelector suitableNodes = 4;
}

// ResourceClassList is a collection of classes.
message ResourceClassList {
  // Standard list metadata
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ListMeta metadata = 1;

  // Items is the list of resource classes.
  repeated ResourceClass items = 2;
}

// ResourceClassParametersReference contains enough information to let you

/.fleet/ "Kotlin Build Infrastructure"

/.space/ "Kotlin Build Infrastructure"

/analysis/ "Kotlin IDE Analysis Core"
/analysis/light-classes-base/ Dmitry.Gridin
/analysis/symbol-light-classes/ Dmitry.Gridin
/analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/diagnostics/KtFirDiagnostics.kt "Kotlin Compiler Core"

Pour parler de tâches "synchrones" (en opposition à "asynchrones"), on utilise souvent le terme "séquentiel", car l'ordinateur / le programme va effectuer toutes les étapes d'une tâche séquentiellement avant de passer à une autre tâche, même si ces étapes impliquent de l'attente.

### Concurrence et Burgers

L'idée de code **asynchrone** décrite ci-dessus est parfois aussi appelée **"concurrence"**. Ce qui est différent du **"parallélisme"**.

    SQLAlchemy uses the term "**model**" to refer to these classes and instances that interact with the database.

    But Pydantic also uses the term "**model**" to refer to something different, the data validation, conversion, and documentation classes and instances.

Import `Base` from `database` (the file `database.py` from above).

Create classes that inherit from it.

These classes are the SQLAlchemy models.

    * `Optional`
    * ...and others.

=== "Python 3.8+"

    * `List`
    * `Tuple`
    * `Set`
    * `Dict`
    * `Union`
    * `Optional`
    * ...and others.

### Classes as types

You can also declare a class as the type of a variable.

Let's say you have a class `Person`, with a name:

```Python hl_lines="1-3"
{!../../../docs_src/python_types/tutorial010.py!}
```

        assertLocalArtifactPresent(b);
    }

    @Override
    protected Artifact createArtifact(String groupId, String artifactId, String version, String type) throws Exception {
        // for the anonymous classes
        return super.createArtifact(groupId, artifactId, version, type);
    }

    @Test
    void testTransitiveResolutionWhereAllArtifactsArePresentInTheLocalRepository() throws Exception {

    <artifactId>maven</artifactId>
    <version>4.0.0-beta-1-SNAPSHOT</version>
  </parent>

  <artifactId>maven-core</artifactId>

  <name>Maven Core</name>
  <description>Maven Core classes.</description>

  <dependencies>
    <!--  Maven -->
    <dependency>
      <groupId>org.apache.maven</groupId>
      <artifactId>maven-di</artifactId>
    </dependency>
    <dependency>

Mas ele foi criado antes da existência do _type hints_ do Python. Então, para definir todo o <abbr title="definição de como os dados devem ser formados">_schema_</abbr> você precisa utilizar específicas ferramentas e classes fornecidas pelo Marshmallow.

!!! check "**FastAPI** inspirado para"
    Usar código para definir "schemas" que forneçam, automaticamente, tipos de dados e validação.