@ParametricNullness
  public E getLast() {
    return delegate().getLast();
  }

  @CanIgnoreReturnValue // TODO(cpovirk): Consider removing this?
  @Override
  public boolean offerFirst(@ParametricNullness E e) {
    return delegate().offerFirst(e);
  }

  @CanIgnoreReturnValue // TODO(cpovirk): Consider removing this?
  @Override
  public boolean offerLast(@ParametricNullness E e) {
    return delegate().offerLast(e);
  }

 * limitations under the License.
 */
package okhttp3.internal.http2.flowcontrol

class WindowCounter(
  val streamId: Int,
) {
  /** The total number of bytes consumed. */
  var total: Long = 0L
    private set

  /** The total number of bytes acknowledged by outgoing `WINDOW_UPDATE` frames. */
  var acknowledged: Long = 0L
    private set

  val unacknowledged: Long

- Dynamic resource allocation: when a claim uses "wait for first consumer" allocation (the default), then it will now get deallocated after it was used by a pod. That ensures that the next pod isn't affected by previous scheduling decision and that resources are not kept allocated unless really needed. If keeping a claim...

    try (Response response = client.newCall(request).execute()) {
      // Consume and discard the response body.
      response.body().source().readByteString();
    }

    System.out.println("REQUEST 2 (pooled connection)");
    try (Response response = client.newCall(request).execute()) {
      // Consume and discard the response body.
      response.body().source().readByteString();
    }
  }

This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).

Containers also have their own **isolated** running processes (commonly just one process), file system, and network, simplifying deployment, security, development, etc.

    return delegate().drainTo(c);
  }

  @CanIgnoreReturnValue // TODO(kak): consider removing this
  @Override
  public boolean offer(E e, long timeout, TimeUnit unit) throws InterruptedException {
    return delegate().offer(e, timeout, unit);
  }

  @CanIgnoreReturnValue // TODO(kak): consider removing this
  @Override
  public @Nullable E poll(long timeout, TimeUnit unit) throws InterruptedException {

    return delegate().drainTo(c);
  }

  @CanIgnoreReturnValue // TODO(kak): consider removing this
  @Override
  public boolean offer(E e, long timeout, TimeUnit unit) throws InterruptedException {
    return delegate().offer(e, timeout, unit);
  }

  @CanIgnoreReturnValue // TODO(kak): consider removing this
  @Override
  public @Nullable E poll(long timeout, TimeUnit unit) throws InterruptedException {

  @CanIgnoreReturnValue // TODO(kak): consider removing this
  @Override
  public <T> T newProxy(
      T target, Class<T> interfaceType, long timeoutDuration, TimeUnit timeoutUnit) {
    checkNotNull(target);
    checkNotNull(interfaceType);
    checkNotNull(timeoutUnit);
    return target; // ha ha
  }

  @CanIgnoreReturnValue // TODO(kak): consider removing this
  @Override
  @ParametricNullness

  @CanIgnoreReturnValue // TODO(kak): consider removing this
  @Override
  public <T> T newProxy(
      T target, Class<T> interfaceType, long timeoutDuration, TimeUnit timeoutUnit) {
    checkNotNull(target);
    checkNotNull(interfaceType);
    checkNotNull(timeoutUnit);
    return target; // ha ha
  }

  @CanIgnoreReturnValue // TODO(kak): consider removing this
  @Override
  @ParametricNullness

* [Revisar Pull Requests](#review-pull-requests){.internal-link target=_blank} (ver la sección arriba).

Esas dos tareas son las que **consumen más tiempo**. Ese es el trabajo principal de mantener FastAPI.

Si puedes ayudarme con eso, **me estás ayudando a mantener FastAPI** y asegurando que siga **avanzando más rápido y mejor**. 🚀

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