]
}
```

## Summary { #summary }

You can use **Pydantic models** to declare **query parameters** in **FastAPI**. 😎

/// tip

Spoiler alert: you can also use Pydantic models to declare cookies and headers, but you will read about that later in the tutorial. 🤫

    }

    /** Returns all of the cookies from a set of HTTP response headers. */
    @JvmStatic
    fun parseAll(
      url: HttpUrl,
      headers: Headers,
    ): List<Cookie> {
      val cookieStrings = headers.values("Set-Cookie")
      var cookies: MutableList<Cookie>? = null

      for (i in 0 until cookieStrings.size) {

        )

    tasks.add_task(bg, state)
    return state


@app.middleware("http")
async def middleware(request, call_next):
    response: StreamingResponse = await call_next(request)
    response.headers["x-state"] = json.dumps(state.copy())
    return response


client = TestClient(app)


def test_async_state():
    assert state["/async"] == "asyncgen not started"
    response = client.get("/async")

$VERSION
$VERSION-dev
$VERSION-venv
EOF
else
  cat >pythons.txt <<EOF
$VERSION
$VERSION-dev
$VERSION-venv
$VERSION-distutils
EOF
fi

/setup.packages.sh pythons.txt

# Python 3.10 include headers fix:
# sysconfig.get_path('include') incorrectly points to /usr/local/include/python
# map /usr/include/python3.10 to /usr/local/include/python3.10
if [[ ! -f "/usr/local/include/$VERSION" ]]; then

	for {
		header, err := tr.Next()
		if err == io.EOF {
			break
		}
		if err != nil {
			t.Fatalf("Failed to read header: %s", err)
		}
		if header.Typeflag != TypeReg {
			t.Fatalf("Typeflag should've been %d, found %d", TypeReg, header.Typeflag)
		}
	}
}

// failOnceWriter fails exactly once and then always reports success.
type failOnceWriter bool

# Utilizando o Request diretamente { #using-the-request-directly }

Até agora você declarou as partes da requisição que você precisa utilizando os seus tipos.

Obtendo dados de:

* O path como parâmetros.
* Cabeçalhos (*Headers*).
* Cookies.
* etc.

E ao fazer isso, o **FastAPI** está validando as informações, convertendo-as e gerando documentação para a sua API automaticamente.

    )
    if not (is_correct_username and is_correct_password):
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Incorrect username or password",
            headers={"WWW-Authenticate": "Basic"},
        )
    return credentials.username


@app.get("/users/me")
def read_current_user(username: Annotated[str, Depends(get_current_username)]):

        aws_secret_access_key='YOUR-SECRETACCESSKEY',
        config=Config(signature_version='s3v4'),
        region_name='us-east-1')


def _add_header(request, **kwargs):
    request.headers.add_header('x-minio-extract', 'true')
event_system = s3.meta.events
event_system.register_first('before-sign.s3.*', _add_header)

# List zip contents

libcusparse-dev-13-0
libcublas-13-0
libcublas-dev-13-0
libnccl-dev=2.27.7-1+cuda13.0
libnccl2=2.27.7-1+cuda13.0
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-headers-cuda-13=9.12.0.46-1
libcudnn9-static-cuda-13=9.12.0.46-1
libcudnn9-dev-cuda-13=9.12.0.46-1

# Usar el Request Directamente { #using-the-request-directly }

Hasta ahora, has estado declarando las partes del request que necesitas con sus tipos.

Tomando datos de:

* El path como parámetros.
* Headers.
* Cookies.
* etc.

Y al hacerlo, **FastAPI** está validando esos datos, convirtiéndolos y generando documentación para tu API automáticamente.

Pero hay situaciones donde podrías necesitar acceder al objeto `Request` directamente.