}

  @VisibleForTesting
  static long murmurHash64WithSeed(byte[] bytes, int offset, int length, long seed) {
    long mul = K3;
    int topBit = 0x7;

    int lengthAligned = length & ~topBit;
    int lengthRemainder = length & topBit;
    long hash = seed ^ (length * mul);

    for (int i = 0; i < lengthAligned; i += 8) {
      long loaded = load64(bytes, offset + i);

  /** Sorts the elements by their natural ordering. */
  /*
   * While the current implementation returns `this`, that's not something we mean to guarantee.
   * Callers of TestContainerGenerator.order need to be prepared for implementations to return a new
   * collection.
   */
  @SuppressWarnings("CanIgnoreReturnValueSuggester")
  @Override
  public List<String> order(List<String> insertionOrder) {

    extends AbstractFuture<V> {
  /*
   * In the GWT versions of the methods (below), every exceptionType parameter is required to be
   * Class<Throwable>. To handle only certain kinds of exceptions under GWT, you'll need to write
   * your own instanceof tests.
   */

  public final FluentFuture<V> catching(
      Class<Throwable> exceptionType,
      Function<? super Throwable, ? extends V> fallback,
      Executor executor) {

      entries[srcIndex] = 0;

      // also need to update whoever's "next" pointer was pointing to the last entry place
      int tableIndex = smearedHash(object) & mask;
      int next = CompactHashing.tableGet(table, tableIndex);
      int srcNext = srcIndex + 1;
      if (next == srcNext) {
        // we need to update the root pointer
        CompactHashing.tableSet(table, tableIndex, dstIndex + 1);

I'll tell you a bit more about these **concepts** here, and that would hopefully give you the **intuition** you would need to decide how to deploy your API in very different environments, possibly even in **future** ones that don't exist yet.

By considering these concepts, you will be able to **evaluate and design** the best way to deploy **your own APIs**.

This is not a limitation of **FastAPI**, it's part of the HTTP protocol.

///

## Recap { #recap }

    LoadingCache<String, String> cache =
        CacheBuilder.newBuilder()
            .concurrencyLevel(1)
            .removalListener(listener)
            .build(computingFunction);

    // seed the map, so its segment's count > 0
    cache.getUnchecked("a");
    shouldWait.set(true);

    CountDownLatch computationStarted = new CountDownLatch(1);
    CountDownLatch computationComplete = new CountDownLatch(1);

    LoadingCache<String, String> cache =
        CacheBuilder.newBuilder()
            .concurrencyLevel(1)
            .removalListener(listener)
            .build(computingFunction);

    // seed the map, so its segment's count > 0
    cache.getUnchecked("a");
    shouldWait.set(true);

    CountDownLatch computationStarted = new CountDownLatch(1);
    CountDownLatch computationComplete = new CountDownLatch(1);

 * The performance of these calls on the underlying network. If the network’s performance isn’t sufficient, you need to either improve the network or use less of it.

### EventListener

 *     notifyAll();
 *   }
 * }
 * }
 *
 * <h3>{@code ReentrantLock}</h3>
 *
 * <p>This version is much more verbose than the {@code synchronized} version, and still suffers
 * from the need for the programmer to remember to use {@code while} instead of {@code if}. However,
 * one advantage is that we can introduce two separate {@code Condition} objects, which allows us to