public void testSizingDefaults() {
    LoadingCache<?, ?> cache = CacheBuilder.newBuilder().build(identityLoader());
    LocalCache<?, ?> map = CacheTesting.toLocalCache(cache);
    assertThat(map.segments).hasLength(4); // concurrency level
    assertThat(map.segments[0].table.length()).isEqualTo(4); // capacity / conc level
  }

  @J2ktIncompatible
  @GwtIncompatible // CountDownLatch

  public void testSizingDefaults() {
    LoadingCache<?, ?> cache = CacheBuilder.newBuilder().build(identityLoader());
    LocalCache<?, ?> map = CacheTesting.toLocalCache(cache);
    assertThat(map.segments).hasLength(4); // concurrency level
    assertThat(map.segments[0].table.length()).isEqualTo(4); // capacity / conc level
  }

  @J2ktIncompatible
  @GwtIncompatible // CountDownLatch

    return new HashSet<>(Maps.capacity(expectedSize));
  }

  /**
   * Creates a thread-safe set backed by a hash map. The set is backed by a {@link
   * ConcurrentHashMap} instance, and thus carries the same concurrency guarantees.
   *
   * <p>Unlike {@code HashSet}, this class does NOT allow {@code null} to be used as an element. The
   * set is serializable.
   *
   * @return a new, empty thread-safe {@code Set}

    misconfigured `ExecutorService` that limited the number of worker threads.
    If you're using `Call.enqueue()` this update should significantly improve
    request concurrency.

 *  **Fix: Lazily initialize the response cache.** This avoids strict mode
    warnings when initializing OkHttp on Android‘s main thread.

 *  **Fix: Disable ALPN on Android 4.4.** That release of the feature was

# Eşzamanlılık ve async / await { #concurrency-and-async-await }

*path operasyon fonksiyonları* için `async def` sözdizimi hakkında detaylar ve asenkron kod, eşzamanlılık (concurrency) ve paralellik üzerine arka plan bilgisi.

## Aceleniz mi var? { #in-a-hurry }

<abbr title="too long; didn't read - çok uzun; okumadım"><strong>TL;DR:</strong></abbr>

Eğer `await` ile çağırmanız gerektiğini söyleyen üçüncü taraf kütüphaneler kullanıyorsanız, örneğin:

  int takeIndex;

  /** items index for next put, offer, or add. */
  int putIndex;

  /** Number of items in the queue */
  private int count;

  /*
   * Concurrency control uses the classic two-condition algorithm
   * found in any textbook.
   */

  /** Monitor guarding all access */
  final Monitor monitor;

  /** Guard for waiting takes */

			Region:    region,
		})
		if err != nil {
			return res, err
		}
	}

	var mu sync.Mutex
	var uploadTimes madmin.TimeDurations
	wg.Add(opts.concurrency)
	for i := 0; i < opts.concurrency; i++ {
		go func(i int) {
			defer wg.Done()
			for {
				t := time.Now()
				reader := newRandomReader(opts.objectSize)

      String error = errorMessage.get();
      assertWithMessage(error).that(error).isNull();
    }
    executor.shutdown();
  }

  /**
   * He did the bash, he did the future bash The future bash, it was a concurrency smash He did the
   * bash, it caught on in a flash He did the bash, he did the future bash
   */

  public void testFutureBash() {
    if (isWindows()) {

                    }
                }
                assertTrue(hasNonZero, "Each array should have a signature");
            }
        }

        @Test
        @DisplayName("Should handle high concurrency without deadlock")
        void testHighConcurrencyNoDeadlock() throws InterruptedException {
            int threadCount = 100;
            int operationsPerThread = 50;

### Concurrence et Burgers { #concurrency-and-burgers }

L'idée de code **asynchrone** décrite ci-dessus est parfois aussi appelée **« concurrence »**. Ce qui est différent du **« parallélisme »**.

La **concurrence** et le **parallélisme** sont tous deux liés à l'idée de « différentes choses arrivant plus ou moins au même moment ».