register_toolchains("@rules_ml_toolchain//cc:linux_aarch64_linux_aarch64_cuda")

# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.

</p>
<p>
Each code point is distinct; for instance, uppercase and lowercase letters
are different characters.
</p>
<p>
Implementation restriction: For compatibility with other tools, a
compiler may disallow the NUL character (U+0000) in the source text.
</p>
<p>
Implementation restriction: For compatibility with other tools, a
compiler may ignore a UTF-8-encoded byte order mark

`PATCH` est moins utilisé et moins connu que `PUT`.

Et de nombreuses équipes n’utilisent que `PUT`, même pour les mises à jour partielles.

Vous êtes libre de les utiliser comme vous le souhaitez, **FastAPI** n’impose aucune restriction.

Mais ce guide vous montre, plus ou moins, la façon dont ils sont censés être utilisés.

///

### Utiliser le paramètre `exclude_unset` de Pydantic { #using-pydantics-exclude-unset-parameter }

- Allowed dynamic configuration of the service account name and audience that the kubelet could request a token for, as part of the node audience restriction feature. ([#130485](https://github.com/kubernetes/kubernetes/pull/130485), [@aramase](https://github.com/aramase)) [SIG Auth and Testing]

    private DfFinalTimeZoneProvider getDBFluteSystemTimeZoneProvider() {
        try {
            // Try to access the field, handling potential security restrictions
            Field field = DBFluteSystem.class.getDeclaredField("finalTimeZoneProvider");
            field.setAccessible(true);
            return (DfFinalTimeZoneProvider) field.get(null);

/// note | Nota

`PATCH` es menos usado y conocido que `PUT`.

Y muchos equipos utilizan solo `PUT`, incluso para actualizaciones parciales.

Eres **libre** de usarlos como desees, **FastAPI** no impone ninguna restricción.

Pero esta guía te muestra, más o menos, cómo se pretende que se usen.

///

### Uso del parámetro `exclude_unset` de Pydantic { #using-pydantics-exclude-unset-parameter }

/// note

`PATCH` is less commonly used and known than `PUT`.

And many teams use only `PUT`, even for partial updates.

You are **free** to use them however you want, **FastAPI** doesn't impose any restrictions.

But this guide shows you, more or less, how they are intended to be used.

///

### Using Pydantic's `exclude_unset` parameter { #using-pydantics-exclude-unset-parameter }

Vous pouvez les utiliser pour ajouter un ensemble spécifique d'autorisations à un jeton JWT.

Vous pouvez ensuite donner ce jeton directement à un utilisateur ou à un tiers, pour interagir avec votre API avec un ensemble de restrictions.

Vous pouvez apprendre à les utiliser et comment ils sont intégrés à **FastAPI** plus tard dans le **Guide de l'utilisateur avancé**.

## Récapitulatif { #recap }

    }

    // Test annotation on constructor (should not compile, but test for completeness)
    static class ConstructorClass {
        // Note: @Secured cannot be applied to constructors due to @Target restrictions
        public ConstructorClass() {
        }
    }

    @Test
    public void test_constructorCannotBeAnnotated() throws NoSuchMethodException {

OAuth2 has the notion of "scopes".

You can use them to add a specific set of permissions to a JWT token.

Then you can give this token to a user directly or a third party, to interact with your API with a set of restrictions.

You can learn how to use them and how they are integrated into **FastAPI** later in the **Advanced User Guide**.

## Recap { #recap }