*
 * <p>{@link ValueGraphBuilder#build()} returns an instance of {@link MutableValueGraph}, which is a
 * subtype of {@code ValueGraph} that provides methods for adding and removing nodes and edges. If
 * you do not need to mutate a graph (e.g. if you write a method than runs a read-only algorithm on
 * the graph), you should use the non-mutating {@link ValueGraph} interface, or an {@link
 * ImmutableValueGraph}.
 *

     *
     * @param session The session to use, must not be {@code null}.
     * @param local The local repository, must not be {@code null}.
     * @param artifact The artifact for which to determine the path, must not be {@code null}.
     * @param remote – The source repository of the artifact, must not be {@code null}.
     * @return The path, relative to the local repository's base directory.
     */

     *
     * @param model The model whose duplicate elements should be merged, must not be {@code null}.
     * @param request The model building request that holds further settings, must not be {@code null}.
     * @param problems The container used to collect problems that were encountered, must not be {@code null}.
     */

      <T extends @Nullable Object> Scenario<?> mutate(Scenario<T> scenario) {
        List<T> newList = Lists.newArrayList(scenario.strictlyOrderedList);
        Collections.reverse(newList);
        return new Scenario<T>(scenario.ordering.reverse(), newList, scenario.emptyArray);
      }
    },
    NULLS_FIRST {
      @Override
      <T extends @Nullable Object> Scenario<?> mutate(Scenario<T> scenario) {

      <T extends @Nullable Object> Scenario<?> mutate(Scenario<T> scenario) {
        List<T> newList = Lists.newArrayList(scenario.strictlyOrderedList);
        Collections.reverse(newList);
        return new Scenario<T>(scenario.ordering.reverse(), newList, scenario.emptyArray);
      }
    },
    NULLS_FIRST {
      @Override
      <T extends @Nullable Object> Scenario<?> mutate(Scenario<T> scenario) {

    assertNotNull(
        rootLocaleFormat("%s must be annotated with @TesterAnnotation.", annotationClass),
        annotationClass.getAnnotation(TesterAnnotation.class));
    final Retention retentionPolicy = annotationClass.getAnnotation(Retention.class);
    assertNotNull(
        rootLocaleFormat("%s must have a @Retention annotation.", annotationClass),
        retentionPolicy);
    assertEquals(

@Beta
@ElementTypesAreNonnullByDefault
public interface MutableValueGraph<N, V> extends ValueGraph<N, V> {

  /**
   * Adds {@code node} if it is not already present.
   *
   * <p><b>Nodes must be unique</b>, just as {@code Map} keys must be. They must also be non-null.
   *
   * @return {@code true} if the graph was modified as a result of this call
   */
  @CanIgnoreReturnValue
  boolean addNode(N node);

  /**

### `List` von `typing` importieren

In Python 3.9 oder darüber können Sie einfach `list` verwenden, um diese Typannotationen zu deklarieren, wie wir unten sehen werden. 💡

In Python-Versionen vor 3.9 (3.6 und darüber), müssen Sie zuerst `List` von Pythons Standardmodul `typing` importieren.

```Python hl_lines="1"
{!> ../../docs_src/body_nested_models/tutorial002.py!}
```

### Eine `list`e mit einem Typ-Parameter deklarieren

        Optional[float],
        Doc(
            """
            Greater than. If set, value must be greater than this. Only applicable to
            numbers.
            """
        ),
    ] = None,
    ge: Annotated[
        Optional[float],
        Doc(
            """
            Greater than or equal. If set, value must be greater than or equal to
            this. Only applicable to numbers.
            """

{!../../docs_src/response_cookies/tutorial001.py!}
```

/// tip | "Tipp"

Beachten Sie, dass, wenn Sie eine Response direkt zurückgeben, anstatt den `Response`-Parameter zu verwenden, FastAPI diese direkt zurückgibt.

Sie müssen also sicherstellen, dass Ihre Daten vom richtigen Typ sind. Z. B. sollten diese mit JSON kompatibel sein, wenn Sie eine `JSONResponse` zurückgeben.