"interval": "",
          "legendFormat": "[{{drive}}]",
          "refId": "B"
        }
      ],
      "title": "Drive Timeout Errors",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "description": "",
      "fieldConfig": {

        assertEquals(SmbComTransaction.TRANS_CALL_NAMED_PIPE, transCallNamedPipe.getSubCommand());
        assertEquals(0xFFFFFFFF, transCallNamedPipe.timeout);
        assertEquals(0, transCallNamedPipe.maxParameterCount);
        assertEquals(0xFFFF, transCallNamedPipe.maxDataCount);
        assertEquals((byte) 0x00, transCallNamedPipe.maxSetupCount);

## 🛃 `APIRoute` 🎓 📻

👆 💪 ⚒ `route_class` 🔢 `APIRouter`:

{* ../../docs_src/custom_request_and_route/tutorial003.py hl[26] *}

👉 🖼, *➡ 🛠️* 🔽 `router` 🔜 ⚙️ 🛃 `TimedRoute` 🎓, & 🔜 ✔️ ➕ `X-Response-Time` 🎚 📨 ⏮️ 🕰 ⚫️ ✊ 🏗 📨:

        .headersDelay(500, TimeUnit.MILLISECONDS)
        .setHeader("content-type", "text/event-stream")
        .body("data: hey\n\n")
        .build(),
    )
    newEventSource()
    listener.assertFailure("timeout")
  }

  @Test
  fun retainsAccept() {
    server.enqueue(
      MockResponse
        .Builder()
        .body(
          """
          |data: hey
          |
          |

{* ../../docs_src/custom_request_and_route/tutorial003.py hl[26] *}

In diesem Beispiel verwenden die *Pfadoperationen* unter dem `router` die benutzerdefinierte `TimedRoute`-Klasse und haben in der Response einen zusätzlichen `X-Response-Time`-Header mit der Zeit, die zum Generieren der Response benötigt wurde:

            }
            if (exitValue != 0) {
                final StringBuilder out = new StringBuilder();
                if (processTimeout) {
                    out.append("Process is terminated due to ").append(timeout).append(" second exceeded.\n");
                }
                out.append("Exit Code: ").append(exitValue).append("\nOutput:\n").append(it.getOutput());
                throw new JobProcessingException(out.toString());

 *
 * <p>The job supports selective crawling by specifying configuration IDs for different
 * types of crawlers (web, file, data). It manages the crawler process lifecycle,
 * handles timeout scenarios, and ensures proper cleanup of resources.</p>
 *
 * <p>Key features:</p>
 * <ul>
 *   <li>Concurrent crawler process management with configurable limits</li>

    val entryTime = System.nanoTime()

    for (queue in TaskRunner.INSTANCE.activeQueues()) {
      // We wait at most 1 second, so we don't ever turn multiple lost threads into
      // a test timeout failure.
      val waitTime = (entryTime + 1_000_000_000L - System.nanoTime())
      if (!queue.idleLatch().await(waitTime, TimeUnit.NANOSECONDS)) {
        TaskRunner.INSTANCE.withLock {

        assertTrue(result.contains("IO error occurred during delete operation"));
    }

    public void test_execute_withTimeoutException() {
        // Create mock SearchEngineClient that throws timeout exception
        searchEngineClient = new SearchEngineClient() {
            @Override
            public long deleteByQuery(String index, QueryBuilder query) {

                    }
                });
            }

            executor.shutdown();
            assertTrue(executor.awaitTermination(30, TimeUnit.SECONDS), "All threads should complete within timeout");

            // Analyze timing consistency across threads
            if (!timings.isEmpty()) {
                double avgTime = timings.stream().mapToLong(Long::longValue).average().orElse(0.0);