"`regex` has been deprecated, please use `pattern` instead",
                category=DeprecationWarning,
                stacklevel=4,
            )
        current_json_schema_extra = json_schema_extra or extra
        if PYDANTIC_VERSION < "2.7.0":
            self.deprecated = deprecated
        else:
            kwargs["deprecated"] = deprecated
        if PYDANTIC_V2:
            kwargs.update(

On utilise alors l'argument `deprecated=True` de `Query` :

```Python hl_lines="18"
{!../../../docs_src/query_params_str_validations/tutorial010.py!}
```

La documentation le présentera comme il suit :

    ```

## Parameter als deprecated ausweisen

Nehmen wir an, Sie mögen diesen Parameter nicht mehr.

Sie müssen ihn eine Weile dort belassen, weil Clients ihn benutzen, aber Sie möchten, dass die Dokumentation klar anzeigt, dass er <abbr title="deprecated – obsolet, veraltet: Es soll nicht mehr verwendet werden">deprecated</abbr> ist.

In diesem Fall fügen Sie den Parameter `deprecated=True` zu `Query` hinzu.

```

## 非推奨パラメータ

さて、このパラメータが気に入らなくなったとしましょう

それを使っているクライアントがいるので、しばらくは残しておく必要がありますが、ドキュメントには<abbr title="使わない方がよい">非推奨</abbr>と明記しておきたいです。

その場合、`Query`にパラメータ`deprecated=True`を渡します:

```Python hl_lines="18"
{!../../../docs_src/query_params_str_validations/tutorial010.py!}
```

ドキュメントは以下のようになります:

    ```

## 😛 🔢

🔜 ➡️ 💬 👆 🚫 💖 👉 🔢 🚫🔜.

👆 ✔️ 👈 ⚫️ 📤 ⏪ ↩️ 📤 👩‍💻 ⚙️ ⚫️, ✋️ 👆 💚 🩺 🎯 🎦 ⚫️ <abbr title="obsolete, recommended not to use it">😢</abbr>.

⤴️ 🚶‍♀️ 🔢 `deprecated=True` `Query`:

=== "🐍 3️⃣.6️⃣ &amp; 🔛"

    ```Python hl_lines="18"
    {!> ../../../docs_src/query_params_str_validations/tutorial010.py!}
    ```

=== "🐍 3️⃣.1️⃣0️⃣ &amp; 🔛"

```JSON
{
    "name": "Foo",
    "price": 50.2
}
```

!!! info
    In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

    The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

!!! info

    with_info_plain_validator_function,
)
from fastapi.logger import logger
from pydantic import AnyUrl, BaseModel, Field
from typing_extensions import Annotated, Literal, TypedDict
from typing_extensions import deprecated as typing_deprecated

try:
    import email_validator

    assert email_validator  # make autoflake ignore the unused import
    from pydantic import EmailStr
except ImportError:  # pragma: no cover

Вы решили оставить его, потому что клиенты всё ещё им пользуются. Но вы хотите отобразить это в документации как <abbr title="устарело, не рекомендуется использовать">устаревший функционал</abbr>.

Тогда для `Query` укажите параметр `deprecated=True`:

=== "Python 3.10+"

    ```Python hl_lines="19"
    {!> ../../../docs_src/query_params_str_validations/tutorial010_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="19"

Import the tools we need from `passlib`.

Create a PassLib "context". This is what will be used to hash and verify passwords.

!!! tip
    The PassLib context also has functionality to use different hashing algorithms, including deprecated old ones only to allow verifying them, etc.

    For example, you could use it to read and verify passwords generated by another system (like Django) but hash any new passwords with a different algorithm like Bcrypt.

```JSON
{
    "name": "Foo",
    "price": 50.2
}
```

!!! info
    In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie deprecated (aber immer noch unterstützt) und in `.model_dump()` umbenannt.