* Esto significa que funcionará bien para archivos grandes como imágenes, videos, binarios grandes, etc. sin consumir toda la memoria.
* Puedes obtener metadatos del archivo subido.
* Tiene una interfaz `async` <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">parecida a un archivo</a>.

   * any other derivation method on the original {@code ClosingFuture} instance.
   *
   * @param consumer a callback whose method will be called (using {@code executor}) when this
   *     operation is done
   */
  public void finishToValueAndCloser(
      ValueAndCloserConsumer<? super V> consumer, Executor executor) {
    checkNotNull(consumer);
    if (!compareAndUpdateState(OPEN, WILL_CREATE_VALUE_AND_CLOSER)) {

import java.util.List;
import java.util.ListIterator;
import java.util.Map;
import java.util.Map.Entry;
import java.util.NoSuchElementException;
import java.util.Set;
import java.util.function.Consumer;
import org.jspecify.annotations.Nullable;

/**
 * An implementation of {@code ListMultimap} that supports deterministic iteration order for both

  headers: Headers?,
) : Lockable,
  Socket {
  // Internal state is guarded by `this`. No long-running or potentially blocking operations are
  // performed while the lock is held.

  /** The bytes consumed and acknowledged by the stream. */
  val readBytes: WindowCounter = WindowCounter(id)

  /** The total number of bytes produced by the application. */
  var writeBytesTotal = 0L
    internal set

 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or
 * even {@code java.util.HashSet}, and places considerably less load on the garbage collector. Like

 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or
 * even {@code java.util.HashSet}, and places considerably less load on the garbage collector. Like

			if disk == nil {
				infos[i].Error = errDiskNotFound.Error()
				return
			}

			di, err := disk.DiskInfo(context.Background(), DiskInfoOptions{})
			infos[i] = di
			if err != nil {
				// - Do not consume disks which are not reachable
				//   unformatted or simply not accessible for some reason.
				infos[i].Error = err.Error()
			}
		}()
	}
	wg.Wait()

	var scanningDisks, healingDisks []StorageAPI

import java.util.LinkedHashSet;
import java.util.NoSuchElementException;
import java.util.Objects;
import java.util.Set;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.function.Consumer;
import org.jspecify.annotations.Nullable;

/**
 * CompactHashSet is an implementation of a Set. All optional operations (adding and removing) are
 * supported. The elements can be any objects.
 *

* Then check that the tests **pass** after the PR. ✅

* Many PRs don't have tests, you can **remind** them to add tests, or you can even **suggest** some tests yourself. That's one of the things that consume most time and you can help a lot with that.

* Then also comment what you tried, that way I'll know that you checked it. 🤓

## Create a Pull Request { #create-a-pull-request }

- Reintroduce resourcequota.NewMonitor constructor for other consumers ([#120777](https://github.com/kubernetes/kubernetes/pull/120777), [@atiratree](https://github.com/atiratree)) [SIG Apps]