} catch (ModelParseException e) {
                if (!strict) {
                    throw e;
                }

                options.put(ModelProcessor.IS_STRICT, Boolean.FALSE);

                try {
                    model = modelProcessor.read(modelSource.getInputStream(), options);
                } catch (ModelParseException ne) {

      </build>
    </profile>
    <profile>
      <id>release</id>
      <build>
        <plugins>
          <plugin>
            <artifactId>maven-assembly-plugin</artifactId>
            <inherited>false</inherited>
            <configuration>
              <descriptors>
                <descriptor>src/main/assembly/src.xml</descriptor>
              </descriptors>
              <tarLongFileMode>gnu</tarLongFileMode>

                    forkedExecution.setMojoDescriptor(forkedMojoDescriptor);
                }

                mojoExecutionConfigurator(forkedExecution).configure(project, forkedExecution, false);
            }
        }

        injectLifecycleOverlay(lifecycleMappings, mojoExecution, session, project);

        List<MojoExecution> mojoExecutions = new ArrayList<>();

Rufen Sie den Endpunkt `/users/me/` auf, Sie erhalten die Response:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

<img src="/img/tutorial/security/image09.png">

TF_CAPI_EXPORT unsigned char TF_GetXlaAutoJitEnabled();

// Sets XLA's minimum cluster size. This has global effect.
TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size);

// Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant
// folding. This is for testing to ensure that XLA is being tested rather than
// Tensorflow's CPU implementation through constant folding.
TF_CAPI_EXPORT unsigned char TF_GetXlaConstantFoldingDisabled();

이제 `/users/me` 경로에 `GET` 작업을 진행합시다.

다음과 같은 사용자 데이터를 얻을 수 있습니다:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

잠금 아이콘을 클릭하고 로그아웃한 다음 동일한 작업을 다시 시도하면 다음과 같은 HTTP 401 오류가 발생합니다.

```JSON
{

     * For example, if a Java tools accepts only class-path elements, then the filter should return
     * {@code true} for {@link JavaPathType#CLASSES} and {@code false} for {@link JavaPathType#MODULES}.
     * If no filter is explicitly set, then the default is a filter accepting everything.
     *
     * @return a filter for the types of path (class-path, module-path, …) accepted by the tool

		w.Header().Del(k)
	}

	f := handlers.NewForwarder(&handlers.Forwarder{
		PassHost:     true,
		RoundTripper: ep.Transport,
		ErrorHandler: func(w http.ResponseWriter, r *http.Request, err error) {
			success = false
			if err != nil && !errors.Is(err, context.Canceled) {
				proxyLogIf(GlobalContext, err)
			}
			if returnErr {
				writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
			}
		},
	})

	default:
		sftpLogOnceIf(context.Background(), err, "unknown-error-sftp")
	}
}

func filterAlgos(arg string, want []string, allowed []string) []string {
	var filteredAlgos []string
	found := false
	for _, algo := range want {
		if len(algo) == 0 {
			continue
		}
		for _, allowedAlgo := range allowed {
			algo := strings.ToLower(strings.TrimSpace(algo))
			if algo == allowedAlgo {

        host='localhost'))
channel = connection.channel()

channel.exchange_declare(exchange='bucketevents',
                         exchange_type='fanout')

result = channel.queue_declare(exclusive=False)
queue_name = result.method.queue

channel.queue_bind(exchange='bucketevents',
                   queue=queue_name)

print(' [*] Waiting for logs. To exit press CTRL+C')