* class was added for Java 8. The two classes are extremely similar, but incompatible (they cannot
 * share a common supertype). <i>All</i> known differences are listed either here or with the
 * relevant methods below.
 *
 * <ul>
 *   <li>This class is serializable; {@code java.util.Optional} is not.

The defaults that will be compiled into a main package
are reported by the command:

{{raw `
	go list -f '{{.DefaultGODEBUG}}' my/main/package
`}}

Only differences from the base Go toolchain defaults are reported.

When testing a package, `//go:debug` lines in the `*_test.go`
files are treated as directives for the test's main package.

À ne pas confondre avec la déclaration de valeurs par défaut comme ici :

```Python
    first_name="john", last_name="doe"
```

C'est une chose différente.

On utilise un deux-points (`:`), et pas un égal (`=`).

Et ajouter des annotations de types ne crée normalement pas de différence avec le comportement qui aurait eu lieu si elles n'étaient pas là.

    * The non-experimental API has some minor differences from the experimental API. In most cases, you only need to make three minor changes:

 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.base.Predicates.not;
import static com.google.common.collect.Multisets.difference;
import static com.google.common.collect.Multisets.intersection;
import static com.google.common.collect.Multisets.sum;
import static com.google.common.collect.Multisets.union;

 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.base.Predicates.not;
import static com.google.common.collect.Multisets.difference;
import static com.google.common.collect.Multisets.intersection;
import static com.google.common.collect.Multisets.sum;
import static com.google.common.collect.Multisets.union;

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[1:11] hl[7:11] *}

A classe `Hero` é muito semelhante a um modelo Pydantic (na verdade, por baixo dos panos, ela *é um modelo Pydantic*).

Existem algumas diferenças:

* `table=True` informa ao SQLModel que este é um *modelo de tabela*, ele deve representar uma **tabela** no banco de dados SQL, não é apenas um *modelo de dados* (como seria qualquer outra classe Pydantic comum).

Por exemplo:

```Python hl_lines="31"
{!../../docs_src/metadata/tutorial001_1.py!}
```

## Metadados para tags

Você também pode adicionar metadados adicionais para as diferentes tags usadas para agrupar suas operações de rota com o parâmetro `openapi_tags`.

Ele recebe uma lista contendo um dicionário para cada tag.

Cada dicionário pode conter:

## Injection de dépendances

Utiliser `BackgroundTasks` fonctionne aussi avec le système d'injection de dépendances. Vous pouvez déclarer un paramètre de type `BackgroundTasks` à différents niveaux : dans une *fonction de chemin*, dans une dépendance, dans une sous-dépendance...

func IsARMFloatCmp(op obj.As) bool {
	switch op {
	case arm.ACMPF, arm.ACMPD:
		return true
	}
	return false
}

// ARMMRCOffset implements the peculiar encoding of the MRC and MCR instructions.
// The difference between MRC and MCR is represented by a bit high in the word, not
// in the usual way by the opcode itself. Asm must use AMRC for both instructions, so
// we return the opcode for MRC so that asm doesn't need to import obj/arm.