///

## `Annotated` im Typ für den `q`-Parameter verwenden { #use-annotated-in-the-type-for-the-q-parameter }

Erinnern Sie sich, dass ich Ihnen zuvor in [Python-Typen-Intro](../python-types.md#type-hints-with-metadata-annotations) gesagt habe, dass `Annotated` verwendet werden kann, um Metadaten zu Ihren Parametern hinzuzufügen?

    * Standart Python `Decimal`.
    * request'lerde ve response'larda `float` ile aynı şekilde işlenir.
* Geçerli tüm Pydantic veri tiplerini burada görebilirsiniz: [Pydantic veri tipleri](https://docs.pydantic.dev/latest/usage/types/types/).

## Örnek { #example }

Yukarıdaki tiplerden bazılarını kullanan parametrelere sahip bir örnek *path operation* şöyle:

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

    "email-validator >=2.0.0",
    # Uvicorn with uvloop
    "uvicorn[standard] >=0.12.0",
    # # Settings management
    "pydantic-settings >=2.0.0",
    # # Extra Pydantic data types
    "pydantic-extra-types >=2.0.0",
]

standard-no-fastapi-cloud-cli = [
    "fastapi-cli[standard-no-fastapi-cloud-cli] >=0.0.8",
    # For the test client
    "httpx >=0.23.0,<1.0.0",
    # For templates

        wordChars(ctype2, 'a', 'z');
        wordChars(ctype2, 'A', 'Z');
        wordChars(ctype2, '0', '9');
        wordChar(ctype2, '@');
        wordChar(ctype2, '|');
        wordChar(ctype2, '_');
        wordChar(ctype2, '?');
        wordChar(ctype2, '>');
        wordChar(ctype2, '=');
        wordChar(ctype2, '!');
        wordChar(ctype2, '<');

@app.command()
def make_pr(
    *,
    language: Annotated[str | None, typer.Option(envvar="LANGUAGE")] = None,
    command: Annotated[str | None, typer.Option(envvar="COMMAND")] = None,
    github_token: Annotated[str, typer.Option(envvar="GITHUB_TOKEN")],
    github_repository: Annotated[str, typer.Option(envvar="GITHUB_REPOSITORY")],
    commit_in_place: Annotated[
        bool, typer.Option(envvar="COMMIT_IN_PLACE", show_default=True)
    ] = False,

        )
    field_info = field_info or FieldInfo(annotation=type_, default=default, alias=alias)
    try:
        return v2.ModelField(mode=mode, name=name, field_info=field_info)
    except PydanticSchemaGenerationError:
        raise fastapi.exceptions.FastAPIError(
            _invalid_args_message.format(type_=type_)
        ) from None


def generate_operation_id_for_path(

# Tipos Avançados de Python { #advanced-python-types }

Aqui estão algumas ideias adicionais que podem ser úteis ao trabalhar com tipos em Python.

## Usando `Union` ou `Optional` { #using-union-or-optional }

Se, por algum motivo, seu código não puder usar `|`, por exemplo, se não for em uma anotação de tipo, mas em algo como `response_model=`, em vez de usar a barra vertical (`|`) você pode usar `Union` do `typing`.

* Datenvalidierung
* Automatische Dokumentation

## Spezielle Typen und Validierungen { #special-types-and-validation }

Abgesehen von normalen einfachen Typen wie `str`, `int`, `float`, usw. können Sie komplexere einfache Typen verwenden, die von `str` erben.

Um alle Optionen kennenzulernen, die Sie haben, schauen Sie sich [Pydantics Typübersicht](https://docs.pydantic.dev/latest/concepts/types/) an. Sie werden einige Beispiele im nächsten Kapitel kennenlernen.

        // Assert - Verify we got the 401 response (simplified test)
        assertEquals(HTTP_UNAUTHORIZED, responseCode);

        // In a real scenario, the connection would reconnect and send Type1/Type3 messages
        // This simplified test just verifies the initial handshake detection
    }

    /**
     * Test handshake failure when the server does not return an NTLM challenge.
     * @throws IOException

    /**
     * Performs a lookup for given typed component.
     *
     * @param type The component type.
     * @return The component.
     * @param <T> The component type.
     * @throws LookupException if no such component or there is some provisioning related issue.
     */
    @Nonnull
    <T> T lookup(Class<T> type);

    /**
     * Performs a lookup for given typed component.
     *