if (e.getCause() instanceof DecodingException) {
                return BASE64URL_DECODER.decode(base64String.trim());
            }
            throw e;
        }
    }

    /**
     * Processes the callback from OpenID Connect provider.
     *
     * @param request the HTTP servlet request
     * @param code the authorization code
     * @return the login credential
     */

如此，你可以學會關於容器與 Docker 的知識，並將這些知識重複運用到許多不同工具與元件上。

因此，你會執行多個容器，內容各不相同，例如一個資料庫、一個 Python 應用、一個帶有 React 前端應用的網頁伺服器，並透過它們的內部網路把它們連接在一起。

所有容器管理系統（例如 Docker 或 Kubernetes）都內建了這些網路功能。

## 容器與行程 { #containers-and-processes }

容器映像通常在其 metadata 中包含當容器啟動時應執行的預設程式或指令，以及要傳給該程式的參數。這與在命令列要執行的內容非常類似。

當容器啟動時，它會執行該指令/程式（雖然你可以覆寫它，讓它執行不同的指令/程式）。

只要主要行程（指令或程式）在執行，容器就會運作。

容器通常只有單一行程，但也可以由主要行程啟動子行程，如此你會在同一個容器內有多個行程。

    @Test
    void testDoFilter_ntlmType1Message() throws Exception {
        // Test NTLM Type 1 message handling
        // This test verifies that when a Type 1 NTLM message is received,
        // the filter processes it correctly through NtlmSsp.authenticate

        // Create a minimal filter config that won't try to connect to a real server
        Map<String, String> initParams = new HashMap<>();

 * This analyzer focuses on identifying duplicate strings and their memory impact across different paths in the POM structure.
 *
 * <p>The analyzer processes POM files recursively, tracking string occurrences and their locations within the POM structure.
 * It can identify areas where string deduplication could provide significant memory savings.</p>
 *
 * <p>Usage example:</p>

* Systemd
* Supervisor
* クラウドプロバイダーがサービスの一部として内部的に処理
* そのほか...

## レプリケーション - プロセスとメモリ { #replication-processes-and-memory }

FastAPI アプリケーションでは、Uvicorn を実行する `fastapi` コマンドのようなサーバープログラムを使用し、**1つのプロセス**で1度に複数のクライアントに同時に対応できます。

しかし、多くの場合、複数のワーカー・プロセスを同時に実行したいと考えるでしょう。

### 複数のプロセス - Worker { #multiple-processes-workers }

		dst[v.Endpoint] = v.toHealingDisk()
	}

	return dst
}

// getHealLocalDiskEndpoints() returns the list of disks that need
// to be healed but there is no healing routine in progress on them.
func (ahs *allHealState) getHealLocalDiskEndpoints() Endpoints {
	ahs.RLock()
	defer ahs.RUnlock()

	var endpoints Endpoints
	for ep, healing := range ahs.healLocalDisks {
		if !healing {

import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.sort.SortOrder;

/**
 * Command class for handling term query execution and conversion.
 * This class processes Lucene TermQuery objects and converts them to OpenSearch QueryBuilder instances.
 */
public class TermQueryCommand extends QueryCommand {
    private static final Logger logger = LogManager.getLogger(TermQueryCommand.class);

        int cleanupDays = fessConfig.getDayForCleanup();
        // cleanupDays is primitive int, not Integer
        assertEquals(3, cleanupDays);

        // Test integer conversion for crawler processes
        Integer crawlerProcesses = fessConfig.getJobMaxCrawlerProcessesAsInteger();
        assertNotNull(crawlerProcesses);
        assertEquals(3, crawlerProcesses.intValue());
    }

            logger.info("GCS client initialized successfully: projectId={}, endpoint={}", projectId,
                    endpoint != null ? endpoint : "default");
        }
    }

    /**
     * Processes a GCS request with timeout management.
     * @param uri the URI to process
     * @param includeContent whether to include the actual content in the response
     * @return the response data for the request

 *   <li>Access and modify project properties</li>
 *   <li>Manage repository configurations</li>
 *   <li>Handle project forking states</li>
 * </ul>
 *
 * The service maintains the mutable state of projects as they progress through
 * their build lifecycle, ensuring thread-safety and proper state management.
 * All implementations must be thread-safe as they may be accessed concurrently
 * during parallel builds.
 *
 * @since 4.0.0