## Servermaschine und Serverprogramm { #server-machine-and-server-program }

Es gibt ein kleines Detail bei den Namen, das Sie beachten sollten. 💡

Das Wort „**Server**“ wird häufig verwendet, um sowohl den entfernten/Cloud-Computer (die physische oder virtuelle Maschine) als auch das Programm zu bezeichnen, das auf dieser Maschine läuft (z. B. Uvicorn).

Denken Sie einfach daran, dass sich „Server“ im Allgemeinen auf eines dieser beiden Dinge beziehen kann.

Calls can be canceled from any thread. This will fail the call if it hasn’t yet completed! Code that is writing the request body or reading the response body will suffer an `IOException` when its call is canceled.

## Dispatch

      message += "delay)";
    }
    // It's confusing to see a completed future in a timeout message; if isDone() returns false,
    // then we know it must have given a pending toString value earlier. If not, then the future
    // completed after the timeout expired, and the message might be success.
    if (isDone()) {
      throw new TimeoutException(message + " but future completed as timeout expired");
    }

     * @param batchMaxSize The maximum batch size delegate should receive (default {@code 500}).
     * @param blockOnLastEvent Should this listener block on last transfer end (completed or corrupted) block? (default {@code true}).
     */
    public SimplexTransferListener(
            TransferListener delegate, int queueSize, int batchMaxSize, boolean blockOnLastEvent) {

 * When the maximum concurrent streams limit is reduced, some allocations will be rescinded.
 * Attempting to create new streams on these allocations will fail.
 *
 * Note that an allocation may be released before its stream is completed. This is intended to make
 * bookkeeping easier for the caller: releasing the allocation as soon as the terminal stream has
 * been found. But only complete the stream once its data stream has been exhausted.
 */

/**
 * Basher test for {@link ConcurrentHashMultiset}: start a bunch of threads, have each of them do
 * operations at random. Each thread keeps track of the per-key deltas that it's directly
 * responsible for; after all threads have completed, we sum the per-key deltas and compare to the
 * existing multiset values.
 *
 * @author mike nonemacher
 */

@NullUnmarked
public class ConcurrentHashMultisetBasherTest extends TestCase {

// for a k-rune slice.
// If n < 0, there is no limit on the number of replacements.
func Replace(s, old, new []byte, n int) []byte {
	m := 0
	if n != 0 {
		// Compute number of replacements.
		m = Count(s, old)
	}
	if m == 0 {
		// Just return a copy.
		return append([]byte(nil), s...)
	}
	if n < 0 || m < n {
		n = m
	}

              ageSeconds = value.toNonNegativeInt(-1)
            }
          }
        }
      }
    }

    /** Returns a strategy to satisfy [request] using [cacheResponse]. */
    fun compute(): CacheStrategy {
      val candidate = computeCandidate()

      // We're forbidden from using the network and the cache is insufficient.
      if (candidate.networkRequest != null && request.cacheControl.onlyIfCached) {

    val cacheCandidate = cache?.get(chain.request().requestForCache())

    val now = System.currentTimeMillis()

    val strategy = CacheStrategy.Factory(now, chain.request(), cacheCandidate).compute()
    val networkRequest = strategy.networkRequest
    val cacheResponse = strategy.cacheResponse

    cache?.trackResponse(strategy)

    if (cacheCandidate != null && cacheResponse == null) {

        // We mainly verify that both calls work correctly
        assertTrue(time2 >= 0, "Expected " + time2 + " to be >= " + 0); // Just verify it completed
    }

    @Test
    void testCacheClearance() throws Exception {
        TestBean bean = new TestBean();
        PlexusConfiguration config = new XmlPlexusConfiguration("test");