} else {
      throw new UncheckedExecutionException(cause);
    }
  }

  private static void checkPositiveTimeout(long timeoutDuration) {
    checkArgument(timeoutDuration > 0, "timeout must be positive: %s", timeoutDuration);
  }

            }
            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());

   * _last_ request, but it remembers the (expected) time of the _next_ request. This also enables
   * us to tell immediately (see tryAcquire(timeout)) whether a particular timeout is enough to get
   * us to the point of the next scheduling time, since we always maintain that. And what we mean by
   * "an unused RateLimiter" is also defined by that notion: when we observe that the

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

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

    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 {

			if (percent>progressPercent) {
				break;
			}
        }
    }

    /**
     * Helper function for animation delays, called with `await`.
     * @param {number} time - Timeout, in ms.
     */
    _wait(time) {
        return new Promise(resolve => setTimeout(resolve, time));
    }

    /**
     * Converts line data objects into line elements.
     *

            }
            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());

The application-layer can also do blocking reads. If the application asks to read and there's nothing available, we need to hold that thread until either the bytes arrive, the stream is closed, or a timeout elapses. If we get bytes but there's nobody asking for them, we buffer them. We don't consider bytes as delivered for flow control until they're consumed by the application.

      // SequentialExecutor by the time the barrier is satisfied
      barrier.await(1, SECONDS);
      executor.execute(barrierTask);
      // timeout means the second task wasn't even tried
      barrier.await(1, SECONDS);
    } finally {
      service.shutdown();
    }
  }

  public void testRejectedExecutionThrownWithMultipleCalls() throws Exception {

		t.Fatalf("no error should happen but got %v", err)
	}

	user2 := *GetUser("prepared_stmt2", Config{})
	if err := txCtx.Create(&user2).Error; err == nil {
		t.Fatalf("should failed to create with timeout context")
	}

	if err := tx.Create(&user2).Error; err != nil {
		t.Fatalf("failed to create, got error %v", err)
	}

	var result3 User
	if err := tx.Find(&result3, user2.ID).Error; err != nil {