Nous pouvons faire mieux ...

## Ce qui fait d'un objet une dépendance { #what-makes-a-dependency }

Jusqu'à présent, vous avez vu des dépendances déclarées sous forme de fonctions.

Mais ce n'est pas la seule manière de déclarer des dépendances (même si c'est probablement la plus courante).

L'élément clé est qu'une dépendance doit être un « callable ».

Un « callable » en Python est tout ce que Python peut « appeler » comme une fonction.

///

### Funciones de *path operation* { #path-operation-functions }

Cuando declaras una *path operation function* con `def` normal en lugar de `async def`, se ejecuta en un threadpool externo que luego es esperado, en lugar de ser llamado directamente (ya que bloquearía el servidor).

                && method.getParameterTypes().length == 0;
    }

    /**
     * Returns the element type of the parameterized collection declared as the method's argument type.
     *
     * @param method
     *            The method. Cannot be {@literal null}
     * @param position

   *
   * <p>Note that the specified object may not be known by the compiler to be a {@link
   * java.io.Serializable} instance, and is thus declared an {@code Object}. For example, it might
   * be declared as a {@code List}.
   *
   * @return the re-serialized object
   * @throws RuntimeException if the specified object was not successfully serialized or
   *     deserialized
   */

perations }

Plus tard, en lisant comment structurer des applications plus grandes ([Applications plus grandes - Plusieurs fichiers](../../tutorial/bigger-applications.md)), éventuellement avec plusieurs fichiers, vous apprendrez comment déclarer un unique paramètre `dependencies` pour un groupe de *chemins d'accès*....

  }

  /**
   * Returns {@code true} if this is an overridable method. Constructors, private, static or final
   * methods, or methods declared by final classes are not overridable.
   */
  public abstract boolean isOverridable();

  /** Returns {@code true} if this was declared to take a variable number of arguments. */
  public abstract boolean isVarArgs();

  /**

///

{* ../../docs_src/security/tutorial005_an_py310.py hl[157] *}

## Declare scopes in *path operations* and dependencies { #declare-scopes-in-path-operations-and-dependencies }

Now we declare that the *path operation* for `/users/me/items/` requires the scope `items`.

For this, we import and use `Security` from `fastapi`.

   *   <li>If there is any non-private constructor or non-private static factory method declared by
   *       {@code cls}, all non-private instance methods will be checked too using the instance
   *       created by invoking the constructor or static factory method.
   *   <li>If there is any non-private constructor or non-private static factory method declared by
   *       {@code cls}:
   *       <ul>

Every identifier in a program must be declared.
No identifier may be declared twice in the same block, and
no identifier may be declared in both the file and package block.
</p>

<p>
The <a href="#Blank_identifier">blank identifier</a> may be used like any other identifier
in a declaration, but it does not introduce a binding and thus is not declared.

{* ../../docs_src/dependencies/tutorial005_an_py310.py hl[13] *}

Let's focus on the parameters declared:

* Even though this function is a dependency ("dependable") itself, it also declares another dependency (it "depends" on something else).
    * It depends on the `query_extractor`, and assigns the value returned by it to the parameter `q`.
* It also declares an optional `last_query` cookie, as a `str`.