*
   * <p>The multimap is not threadsafe when any concurrent operations update the multimap, even if
   * {@code map} and the instances generated by {@code factory} are. Concurrent read operations will
   * work correctly. To allow concurrent update operations, wrap the multimap with a call to {@link
   * #synchronizedMultimap}.
   *
   * <p>Call this method only when the simpler methods {@link ArrayListMultimap#create()}, {@link

                    httpResponse.addHeader(ACCESS_CONTROL_ALLOW_PRIVATE_NETWORK, "true");
                }
            }
        };
    }

    // Test that all CORS header constants are defined correctly
    public void test_corsHeaderConstants() {
        assertEquals("Access-Control-Allow-Origin", CorsHandler.ACCESS_CONTROL_ALLOW_ORIGIN);

        // Note: This IOCTL must be sent on an existing session
        // The actual sending would need integration with the session's transport
        // For now, we're preparing the request structure correctly

        // TODO: Integration point - send request through session.send()
        // Smb2IoctlResponse response = (Smb2IoctlResponse) session.send(request);
        // if (response.isSuccess()) {

                logger.info("Crawler is stopped.");
            }
            exitCode = Constants.EXIT_FAIL;
        } catch (final Throwable t) {
            logger.error("Crawler does not work correctly.", t);
            exitCode = Constants.EXIT_FAIL;
        } finally {
            if (commandThread != null && commandThread.isAlive()) {
                commandThread.interrupt();
            }

   * {@link Collections#frequency} (which would presumably perform more poorly).
   *
   * <p><b>Note:</b> the utility method {@link Iterables#frequency} generalizes this operation; it
   * correctly delegates to this method when dealing with a multiset, but it can also accept any
   * other iterable type.
   *
   * @param element the element to count occurrences of

 *       being garbage collected. If some of the data is no longer reachable through other means,
 *       this constitutes a memory leak. Pass the view collection to the appropriate {@code copyOf}
 *       method to obtain a correctly-sized copy.
 *   <li>The performance of using the associated {@code Builder} class can be assumed to be no
 *       worse, and possibly better, than creating a mutable collection and copying it.

    // Body contains nothing.
    assertThat(response.body.bytes().size).isEqualTo(0)
    assertThat(response.body.contentLength()).isEqualTo(0)

    // Content-Length header stays correctly.
    assertThat(response.header("content-length")).isEqualTo("5")
    val request = server.takeRequest()
    assertThat(request.requestLine).isEqualTo("HEAD /foo HTTP/2")
  }

  @ParameterizedTest

Then, when it's your turn, you do actual "productive" work, you process the menu, decide what you want, get your crush's choice, pay, check that you give the correct bill or card, check that you are charged correctly, check that the order has the correct items, etc.

But then, even though you still don't have your burgers, your work with the cashier is "on pause" ⏸, because you have to wait 🕙 for your burgers to be ready.

    while (computedCount.get() < nThreads) {
      Thread.yield();
    }
    cache.invalidateAll();
    tasksFinished.await();

    // Check all of the removal notifications we received: they should have had correctly-associated
    // keys and values. (An earlier bug saw removal notifications for in-progress computations,
    // which had real keys with null values.)
    Map<String, String> removalNotifications = new HashMap<>();

    while (computedCount.get() < nThreads) {
      Thread.yield();
    }
    cache.invalidateAll();
    tasksFinished.await();

    // Check all of the removal notifications we received: they should have had correctly-associated
    // keys and values. (An earlier bug saw removal notifications for in-progress computations,
    // which had real keys with null values.)
    Map<String, String> removalNotifications = new HashMap<>();