* com.google.guava:listenablefuture:1.0 artifact. (For more on that artifact, see
 * https://github.com/google/guava/releases/tag/v27.0) This means that the copy of ListenableFuture
 * in com.google.guava:guava differs from the "frozen" copy in the listenablefuture artifact. This
 * could in principle cause problems for some users. Still, we expect that the benefits of the

            json_schema_extra=json_schema_extra,
            **extra,
        )


@dataclass(frozen=True)
class Depends:
    dependency: Callable[..., Any] | None = None
    use_cache: bool = True
    scope: Literal["function", "request"] | None = None


@dataclass(frozen=True)
class Security(Depends):

 * com.google.guava:listenablefuture:1.0 artifact. (For more on that artifact, see
 * https://github.com/google/guava/releases/tag/v27.0) This means that the copy of ListenableFuture
 * in com.google.guava:guava differs from the "frozen" copy in the listenablefuture artifact. This
 * could in principle cause problems for some users. Still, we expect that the benefits of the

    "field_title_generator": None,
    "description": None,
    "examples": None,
    "exclude": None,
    "exclude_if": None,
    "discriminator": None,
    "deprecated": None,
    "json_schema_extra": None,
    "frozen": None,
    "validate_default": None,
    "repr": True,
    "init": None,
    "init_var": None,
    "kw_only": None,
}


# TODO: remove when dropping support for Pydantic < v2.12.3

    to the layer came from a keras input.
*   Clean up `BatchNormalization` layer's `trainable` property to act like
    standard python state when it's used inside `tf.functions` (frozen at
    tracing time), instead of acting like a pseudo-variable whose updates *kind
    of sometimes* get reflected in already-traced `tf.function` traces.
*   Add the `Conv1DTranspose` layer.

In vielen Fällen kennen Sie möglicherweise bereits die Antwort auf diese Fragen. 🤓

Wenn Sie vielen Menschen bei ihren Fragen helfen, werden Sie offizieller [FastAPI-Experte](fastapi-people.md#fastapi-experts). 🎉

# Allgemeines – How-To – Rezepte { #general-how-to-recipes }

Hier finden Sie mehrere Verweise auf andere Stellen in der Dokumentation, für allgemeine oder häufige Fragen.

## Daten filtern – Sicherheit { #filter-data-security }

Um sicherzustellen, dass Sie nicht mehr Daten zurückgeben, als Sie sollten, lesen Sie die Dokumentation unter [Tutorial – Responsemodell – Rückgabetyp](../tutorial/response-model.md).

  }

  /**
   * Returns a {@code Collector} that returns the {@code k} smallest (relative to the specified
   * {@code Comparator}) input elements, in ascending order, as an unmodifiable {@code List}. Ties
   * are broken arbitrarily.
   *
   * <p>For example:
   *
   * {@snippet :
   * Stream.of("foo", "quux", "banana", "elephant").collect(least(2, comparingInt(String::length)))
   * // returns {"foo", "quux"}
   * }
   *

Abhängig von Ihrem Anwendungsfall könnten Sie eine andere Bibliothek vorziehen, aber wenn Sie mich fragen würden, würde ich Ihnen wahrscheinlich empfehlen, **Strawberry** auszuprobieren.

Hier ist eine kleine Vorschau, wie Sie Strawberry mit FastAPI integrieren können:

{* ../../docs_src/graphql_/tutorial001_py310.py hl[3,22,25] *}

 *
 * The easiest way to pin a host is turn on pinning with a broken configuration and read the
 * expected configuration when the connection fails. Be sure to do this on a trusted network, and
 * without man-in-the-middle tools like [Charles][charles] or [Fiddler][fiddler].
 *
 * For example, to pin `https://publicobject.com`, start with a broken configuration:
 *
 * ```java
 * String hostname = "publicobject.com";