}
}

// TLSCurveIDs returns a list of supported elliptic curve IDs
// in preference order.
func TLSCurveIDs() []tls.CurveID {
	var curves []tls.CurveID
	if !Enabled {
		curves = append(curves, tls.X25519) // Only enable X25519 in non-FIPS mode
	}
	curves = append(curves, tls.CurveP256, tls.CurveP384, tls.CurveP521)
	return curves

			return nil, errMalformedJWKECKey
		}

		var curve elliptic.Curve
		switch key.Crv {
		case "P-224":
			curve = elliptic.P224()
		case "P-256":
			curve = elliptic.P256()
		case "P-384":
			curve = elliptic.P384()
		case "P-521":
			curve = elliptic.P521()
		default:
			return nil, fmt.Errorf("Unknown curve type: %s", key.Crv)
		}

		xbuf, err := base64.RawURLEncoding.DecodeString(key.X)

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

`**second_user_data` quer dizer:

Passe as chaves e valores do dicionário `second_user_data` diretamente como argumentos chave-valor, equivalente a: `User(id=4, name="Mary", joined="2018-11-30")`

///

### Suporte de editores

Vielleicht möchten Sie ihre Kurse ausprobieren:

* <a href="https://training.talkpython.fm/fastapi-courses" class="external-link" target="_blank">Talk Python Training</a>

## External Courses

Although the [Tutorial - User Guide](../tutorial/index.md){.internal-link target=_blank} and this **Advanced User Guide** are written as a guided tutorial (like a book) and should be enough for you to **learn FastAPI**, you might want to complement it with additional courses.

Or it might be the case that you just prefer to take other courses because they adapt better to your learning style.

    *   Add `tf.keras.layers.AbstractRNNCell` as the preferred implementation
        for RNN cells in TF v2. User can use it to implement RNN cells with
        custom behavior.
    *   Keras training and validation curves are shown on the same plot when
        using the TensorBoard callback.
    *   Switched Keras `fit/evaluate/predict` execution to use only a single
        unified path by default unless eager execution has been explicitly

Você também pode declarar um corpo como um `dict` com chaves de algum tipo e valores de outro tipo.

Sem ter que saber de antemão quais são os nomes de campos/atributos válidos (como seria o caso dos modelos Pydantic).

Isso seria útil se você deseja receber chaves que ainda não conhece.

---

Outro caso útil é quando você deseja ter chaves de outro tipo, por exemplo, `int`.

É isso que vamos ver aqui.

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.survey

import okhttp3.survey.types.Client
import okhttp3.survey.types.SuiteId

/**
 * Organizes information on SSL cipher suite inclusion and precedence for this spreadsheet.

## Curso TestDriven.io

Se você gostaria de fazer um curso avançado-iniciante para complementar essa seção da documentação, você pode querer conferir: <a href="https://testdriven.io/courses/tdd-fastapi/" class="external-link" target="_blank">Test-Driven Development com FastAPI e Docker</a> por **TestDriven.io**.

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.survey

import javax.net.ssl.SSLSocket
import javax.net.ssl.SSLSocketFactory
import okhttp3.ConnectionSpec
import okhttp3.OkHttp
import okhttp3.survey.types.Client
import okhttp3.survey.types.SuiteId
import okio.FileSystem
import okio.Path.Companion.toPath
import org.conscrypt.Conscrypt