*/
package org.apache.maven.project;

import java.io.File;
import java.util.List;

import org.apache.maven.artifact.Artifact;
import org.apache.maven.model.building.ModelSource;

/**
 * Builds in-memory descriptions of projects.
 *
 * @deprecated use {@code org.apache.maven.api.services.ProjectBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface ProjectBuilder {

    /**

   * interned, and so does not prevent these instances from being garbage-collected. This most
   * likely does not perform as well as {@link #newStrongInterner}, but is the best alternative when
   * the memory usage of that implementation is unacceptable.
   */
  @GwtIncompatible("java.lang.ref.WeakReference")
  public static <E> Interner<E> newWeakInterner() {
    return newBuilder().weak().build();
  }

 * <p>
 * Unlike a cache, this session data is not subject to purging. For this same reason, session data should also not be
 * abused as a cache (i.e. for storing values that can be re-calculated) to avoid memory exhaustion.
 * <p>
 * <strong>Note:</strong> Actual implementations must be thread-safe.
 *
 * @see Session#getData()
 * @since 4.0.0
 */
@Experimental
@ThreadSafe
@Provider
public interface SessionData {

					}
				} else {
					stopFn(result, nil)
				}
				ri.trackCurrentBucketObject(r.Bucket, result, success, attempts)
				globalBatchJobsMetrics.save(job.ID, ri)
				// persist in-memory state to disk after every 10secs.
				batchLogIf(ctx, ri.updateAfter(ctx, api, 10*time.Second, job))
				if success {
					break
				}
				if delay > 0 {

        try {
            settingsWriter.write(writer, null, settings);
        } catch (IOException e) {
            throw new IllegalStateException("Failed to serialize settings to memory", e);
        }

        String serializedSettings = writer.toString();

        RegexBasedInterpolator interpolator = new RegexBasedInterpolator();

   */
  @Override
  List<V> createCollection() {
    return new ArrayList<>(expectedValuesPerKey);
  }

  /**
   * Reduces the memory used by this {@code ArrayListMultimap}, if feasible.
   *
   * @deprecated For a {@link ListMultimap} that automatically trims to size, use {@link

	}

	return f
}

type bufPool struct {
	sz   int
	pool bpool.Pool[*[]byte]
}

func (b *bufPool) Put(buf []byte) {
	if cap(buf) < b.sz || cap(buf) > b.sz*2 {
		// Buffer too small or will likely leak memory after being expanded.
		// Drop it.
		return
	}
	b.pool.Put(&buf)
}

func (b *bufPool) Get() []byte {
	bufp := b.pool.Get()
	if bufp == nil || cap(*bufp) < b.sz {
		return make([]byte, 0, b.sz)
	}

    server.enqueue(MockResponse().setSocketPolicy(SocketPolicy.DISCONNECT_DURING_REQUEST_BODY))
    // Limit the size of the request body that the server holds in memory to an arbitrary
    // 3.5 MBytes so this test can pass on devices with little memory.
    server.bodyLimit = 7 * 512 * 1024
    val connection = server.url("/").toUrl().openConnection() as HttpURLConnection
    connection.setRequestMethod("POST")

	if err != nil && !errors.Is(err, errConfigNotFound) {
		return err
	}

	z.rebalMu.Lock()
	defer z.rebalMu.Unlock()

	// if not found, we store the memory metadata back
	// when rebalance status changed, will notify all nodes update status to memory, we can treat the memory metadata is the latest status
	if errors.Is(err, errConfigNotFound) {
		r = z.rebalMeta
	}

	switch opts {
	case rebalSaveStoppedAt:

* Docker en Modo Swarm
* Systemd
* Supervisor
* Manejado internamente por un proveedor de nube como parte de sus servicios
* Otros...

## Replicación - Procesos y Memoria { #replication-processes-and-memory }

Con una aplicación FastAPI, usando un programa servidor como el comando `fastapi` que ejecuta Uvicorn, ejecutarlo una vez en **un proceso** puede servir a múltiples clientes concurrentemente.