@GwtCompatible
public abstract class FluentFuture<V extends @Nullable Object>
    extends GwtFluentFutureCatchingSpecialization<V> {

  /**
   * A less abstract subclass of AbstractFuture. This can be used to optimize setFuture by ensuring
   * that {@link #get} calls exactly the implementation of {@link AbstractFuture#get}.
   */
  abstract static class TrustedFuture<V extends @Nullable Object> extends FluentFuture<V>

				if matched {
					return nil
				}
			}
		}
	}

	var (
		name     string
		idx      = strings.IndexByte(str, ',')
		settings = ParseTagSetting(str, ",")
	)

	// optimize match english letters and midline
	// The following code is basically called in for.
	// In order to avoid the performance problems caused by repeated compilation of regular expressions,

    }

    @Override
    Spliterator<Entry<K, V>> entrySpliterator() {
      return CollectSpliterators.indexed(size(), Spliterator.ORDERED, this::getEntry);
    }

    // TODO(lowasser): consider an optimized values() implementation

    @Override
    public boolean containsKey(@Nullable Object key) {
      return keyIndex.containsKey(key);
    }

    @Override

    public UnmodifiableIterator<Entry<K, V>> iterator() {
      return multimap.entryIterator();
    }

    @Override
    boolean isPartialView() {
      return false;
    }

    // redeclare to help optimizers with b/310253115
    @SuppressWarnings("RedundantOverride")
    @Override
    @J2ktIncompatible
    @GwtIncompatible
        Object writeReplace() {
      return super.writeReplace();
    }
  }

    }
    int[] stripes = new int[result.size()];
    for (int i = 0; i < result.size(); i++) {
      stripes[i] = indexFor(result.get(i));
    }
    Arrays.sort(stripes);
    // optimize for runs of identical stripes
    int previousStripe = stripes[0];
    result.set(0, getAt(previousStripe));
    for (int i = 1; i < result.size(); i++) {
      int currentStripe = stripes[i];

🔹 S3 API Compatible – Seamless integration with existing S3 tools
🔹 Built for AI & Analytics – Optimized for large-scale data pipelines
🔹 High Performance – Ideal for demanding storage workloads.

AI storage documentation  (https://min.io/solutions/object-storage-for-ai).

      next = (keyList == null) ? null : keyList.head;
    }

    /**
     * Constructs a new iterator over all values for the specified key starting at the specified
     * index. This constructor is optimized so that it starts at either the head or the tail,
     * depending on which is closer to the specified index. This allows adds to the tail to be done
     * in constant time.
     *

    public UnmodifiableIterator<Entry<K, V>> iterator() {
      return multimap.entryIterator();
    }

    @Override
    boolean isPartialView() {
      return false;
    }

    // redeclare to help optimizers with b/310253115
    @SuppressWarnings("RedundantOverride")
    @Override
    @J2ktIncompatible
    @GwtIncompatible
        Object writeReplace() {
      return super.writeReplace();
    }
  }

    assertEquals(1, matcher.countIn(s));
  }

  /**
   * Checks that expected is equals to out, and further, if in is equals to expected, then out is
   * successfully optimized to be identical to in, i.e. that "in" is simply returned.
   */
  private void assertEqualsSame(String expected, String in, String out) {
    if (expected.equals(in)) {
      assertSame(in, out);
    } else {

    Así que es importante poner esto **cerca del final** del `Dockerfile`, para optimizar los tiempos de construcción de la imagen del contenedor.

6. Establecer el **comando** para usar `fastapi run`, que utiliza Uvicorn debajo.