rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: führe Code der Funktion aus
        execute ->> code: gib das Resultat zurück
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")
        function ->> code: gib das gespeicherte Resultat zurück
    end

    rect rgba(0, 255, 0, .1)

sequenceDiagram

participant code as Código
participant function as say_hi()
participant execute as Executar Função

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: executar código da função
        execute ->> code: retornar o resultado
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")

Contrairement aux fonctions que **FastAPI** appelle pour vous : les *fonctions de chemin* et dépendances.

Si votre fonction utilitaire est une fonction classique définie avec `def`, elle sera appelée directement (telle qu'écrite dans votre code), pas dans une threadpool, si la fonction est définie avec `async def` alors vous devrez attendre (avec `await`) que cette fonction se termine avant de passer à la suite du code.

---

     *
     * @param index the name of the index to scroll through
     * @param callback the function to apply to each search hit, returning true to continue or false to stop
     * @return the number of documents processed
     */
    public static long scroll(final String index, final Function<SearchHit, Boolean> callback) {

- Scheduling Framework: expose Run[Pre]ScorePlugins functions to PreemptionHandle which can be used in PostFilter extension point. ([#93534](https://github.com/kubernetes/kubernetes/pull/93534), [@everpeace](https://github.com/everpeace)) [SIG Scheduling and Testing]

      extends AbstractTransformFuture<I, O, Function<? super I, ? extends O>, O> {
    TransformFuture(
        ListenableFuture<? extends I> inputFuture, Function<? super I, ? extends O> function) {
      super(inputFuture, function);
    }

    @Override
    @ParametricNullness
    O doTransform(Function<? super I, ? extends O> function, @ParametricNullness I input) {
      return function.apply(input);
    }

    @Override

participant code as Code
participant function as say_hi()
participant execute as Execute function

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")
        function ->> execute: execute function code
        execute ->> code: return the result
    end

    rect rgba(0, 255, 255, .1)
        code ->> function: say_hi(name="Camila")
        function ->> code: return stored result
    end

En algunos casos realmente no necesitas el valor de retorno de una dependencia dentro de tu *path operation function*.

O la dependencia no devuelve un valor.

Pero aún necesitas que sea ejecutada/resuelta.

Para esos casos, en lugar de declarar un parámetro de *path operation function* con `Depends`, puedes añadir una `list` de `dependencies` al decorador de *path operation*.

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fukushima.jp
fukuyama.hiroshima.jp
fun
funabashi.chiba.jp
funagata.yamagata.jp
funahashi.toyama.jp
functions.fnc.fr-par.scw.cloud
fund
funnels.cx
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fuossko.no
furano.hokkaido.jp
furniture
furubira.hokkaido.jp
furudono.fukushima.jp
furukawa.miyagi.jp
fusa.no
fuso.aichi.jp

#include "absl/strings/match.h"
#include "tensorflow/c/c_api_internal.h"
#include "tensorflow/c/tf_buffer_internal.h"
#include "tensorflow/core/framework/attr_value_util.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/graph_to_functiondef.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/node_def_util.h"