Starten Sie nun Traefik:

<div class="termy">

```console
$ ./traefik --configFile=traefik.toml

INFO[0000] Configuration loaded from file: /home/user/awesomeapi/traefik.toml
```

</div>

Und jetzt starten Sie Ihre Anwendung mit Uvicorn, indem Sie die Option `--root-path` verwenden:

<div class="termy">

```console

}

// decodeVersions will decode a number of versions from a buffer
// and perform a callback for each version in order, newest first.
// Return errDoneForNow to stop processing and return nil.
// Any non-nil error is returned.
func decodeVersions(buf []byte, versions int, fn func(idx int, hdr, meta []byte) error) (err error) {
	var tHdr, tMeta []byte // Zero copy bytes
	for i := range versions {
		tHdr, buf, err = msgp.ReadBytesZC(buf)

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## Verificar el `username` y la forma de los datos

Verificamos que obtenemos un `username`, y extraemos los scopes.

Pero luego se creó **<a href="https://letsencrypt.org/" class="external-link" target="_blank">Let's Encrypt</a>**.

Es un proyecto de la Linux Foundation. Proporciona **certificados HTTPS de forma gratuita**, de manera automatizada. Estos certificados usan toda la seguridad criptográfica estándar, y tienen una corta duración (aproximadamente 3 meses), por lo que la **seguridad es en realidad mejor** debido a su corta vida útil.

 *
 * This library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the Free Software

	return "Remote already exists for this bucket: " + e.Bucket
}

// BucketRemoteLabelInUse remote already exists for this target label.
type BucketRemoteLabelInUse GenericError

func (e BucketRemoteLabelInUse) Error() string {
	return "Remote with this label already exists for this bucket: " + e.Bucket
}

// BucketRemoteArnTypeInvalid arn type for remote is not valid.

import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests for {@link MediaType}.
 *
 * @author Gregory Kick
 */
@GwtCompatible
@NullUnmarked
public class MediaTypeTest extends TestCase {
  @J2ktIncompatible
  @GwtIncompatible // reflection
  public void testParse_useConstants() throws Exception {
    for (MediaType constant : getConstants()) {

### タイプパラメータを持つ`List`の宣言

`list`や`dict`、`tuple`のようなタイプパラメータ（内部の型）を持つ型を宣言するには:

* `typing`モジュールからそれらをインストールします。
* 角括弧（`[`と`]`）を使って「タイプパラメータ」として内部の型を渡します:

```Python
from typing import List

my_list: List[str]
```

型宣言の標準的なPythonの構文はこれだけです。

内部の型を持つモデルの属性にも同じ標準の構文を使用してください。

そのため、以下の例では`tags`を具体的な「文字列のリスト」にすることができます:

      // 1. Server reads request and dequeues first response
      // 2. Client cancels request
      // 3. Server tries to send response on the canceled stream
      // Otherwise, there is no guarantee for the sequence. For example, the server may use the
      // first mocked response to respond to the second request.
      val response = super.dispatch(request)
      responseDequeuedLatches[responseIndex].countDown()

void TestEncodeDecode(int line, const std::vector<string>& data) {
  const int64_t n = data.size();
  absl::Status status;
  for (const std::vector<int64_t>& dims :
       std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) {
    // Create C++ Tensor
    Tensor src(tensorflow::DT_STRING, TensorShape(dims));
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      src.flat<tstring>()(i) = data[i];
    }