return
	}

	configData, err := json.Marshal(config)
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	// Write to client.
	writeSuccessResponseJSON(w, configData)

labels.ldap_security_authentication=Security Authentication
labels.ldap_initial_context_factory=Initial Context Factory
labels.general_menu_oic=OpenID Connect
labels.oic_client_id=Client ID
labels.oic_client_secret=Client Secret
labels.oic_auth_server_url=Authorization Server URL
labels.oic_token_server_url=Token Server URL
labels.oic_redirect_url=Redirect URL
labels.oic_scope=Scope
labels.oic_base_url=Base URL

/// tip | Astuce

Gardez à l'esprit que JSON ne prend en charge que des `str` comme clés.

Mais Pydantic dispose d'une conversion automatique des données.

Cela signifie que, même si vos clients d'API ne peuvent envoyer que des chaînes comme clés, tant que ces chaînes contiennent des entiers purs, Pydantic les convertira et les validera.

import software.amazon.awssdk.services.s3.model.S3Object;
import software.amazon.awssdk.services.s3.model.Tag;
import software.amazon.awssdk.services.s3.model.Tagging;

/**
 * S3-compatible storage client implementation using AWS SDK v2.
 * Supports Amazon S3, MinIO, and other S3-compatible storage systems.
 */
public class S3StorageClient implements StorageClient {

 * This is for the benefit of container environments that implement code unloading.
 *
 * Most applications should share a process-wide [TaskRunner] and use queues for per-client work.
 */
class TaskRunner(
  val backend: Backend,
  internal val logger: Logger = TaskRunner.logger,
) : Lockable {
  private var nextQueueName = 10000
  private var coordinatorWaiting = false

     * been cleared by this point.
     */
    reference.clear();

    if (reference == frqReference) {
      /*
       * The client no longer has a reference to the FinalizableReferenceQueue. We can stop.
       */
      return false;
    }

    try {
      finalizeReferentMethod.invoke(reference);
    } catch (Throwable t) {

# Request Files { #request-files }

You can define files to be uploaded by the client using `File`.

/// info

To receive uploaded files, first install [`python-multipart`](https://github.com/Kludex/python-multipart).

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and then install it, for example:

```console
$ pip install python-multipart
```

This is because uploaded files are sent as "form data".

import java.io.IOException;
import java.lang.reflect.Field;

import javax.net.ssl.SSLSocketFactory;

import org.codelibs.curl.Curl;
import org.codelibs.curl.CurlRequest;
import org.codelibs.fesen.client.node.NodeManager;
import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.junit.jupiter.api.Test;

## A Custom `PNGStreamingResponse` { #a-custom-pngstreamingresponse }

In the examples above, the data bytes were streamed, but the response didn't have a `Content-Type` header, so the client didn't know what type of data it was receiving.

You can create a custom sub-class of `StreamingResponse` that sets the `Content-Type` header to the type of data you're streaming.

    # o applicationOutsideSqlMap: (NotRequired - Default map:{})
    #  You can set additional users.
    #  Elements of this map are as below:
    #   o key of map: a relative path to the application project from DBFlute client
    #   o sqlDirectory: SQL directory as a relative path from the application directory 
    #     (NotRequired - Default Java:'src/main/java' & 'src/main/resources' CSharp:'source')