* Parce que les structures de données de Pydantic sont simplement des instances de classes que vous définissez ; l'autocomplétion, le linting, mypy et votre intuition devraient tous bien fonctionner avec vos données validées.
* Valider des **structures complexes** :

     * system defaults will be used.
     *
     * Most applications should not call this method, and instead use the system defaults. Those
     * classes include special optimizations that can be lost if the implementations are decorated.
     *
     * If necessary, you can create and configure the defaults yourself with the following code:
     *
     * ```java

 * backing collection and the mutex are serializable.
 *
 * <p>If {@code null} is passed as the {@code mutex} parameter to any of this class's top-level
 * methods or inner class constructors, the created object uses itself as the synchronization mutex.
 *
 * <p>This class should be used by other collection classes only.
 *
 * @author Mike Bostock
 * @author Jared Levy
 */
@J2ktIncompatible
@GwtCompatible
/*

 * backing collection and the mutex are serializable.
 *
 * <p>If {@code null} is passed as the {@code mutex} parameter to any of this class's top-level
 * methods or inner class constructors, the created object uses itself as the synchronization mutex.
 *
 * <p>This class should be used by other collection classes only.
 *
 * @author Mike Bostock
 * @author Jared Levy
 */
@J2ktIncompatible
@GwtCompatible
/*

////

Использование `str | None` вместо просто `str` позволит редактору кода помочь вам обнаружить ошибки, когда вы предполагаете, что значение всегда `str`, хотя на самом деле оно может быть и `None`.

### Классы как типы { #classes-as-types }

Вы также можете объявлять класс как тип переменной.

Допустим, у вас есть класс `Person` с именем:

{* ../../docs_src/python_types/tutorial010_py310.py hl[1:3] *}

    throw new InvalidObjectException("Use SerializedForm");
  }

  // This class is never actually serialized directly, but we have to make the
  // warning go away (and suppressing would suppress for all nested classes too)
  @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 0;

  /**

    * Como as estruturas de dados do Pydantic são apenas instâncias de classes que você define, o preenchimento automático, linting, mypy e a sua intuição devem funcionar corretamente com seus dados validados.
* Valida **estruturas complexas**:

### Klassen als Typen { #classes-as-types }

Sie können auch eine Klasse als Typ einer Variablen deklarieren.

Nehmen wir an, Sie haben eine Klasse `Person`, mit einem Namen:

{* ../../docs_src/python_types/tutorial010_py310.py hl[1:3] *}

### Clases como tipos { #classes-as-types }

También puedes declarar una clase como el tipo de una variable.

Digamos que tienes una clase `Person`, con un nombre:

{* ../../docs_src/python_types/tutorial010_py310.py hl[1:3] *}

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).