Con **FastAPI** obtienes todas las funcionalidades de **Starlette** (ya que FastAPI es simplemente Starlette potenciado):

* Rendimiento seriamente impresionante. Es <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">uno de los frameworks de Python más rápidos disponibles, a la par de **NodeJS** y **Go**</a>.
* Soporte para **WebSocket**.
* Tareas en segundo plano en el mismo proceso.

 * the columns. The reverse is also available, associating a column with a row key / value map. Note
 * that, in some implementations, data access by column key may have fewer supported operations or
 * worse performance than data access by row key.
 *
 * <p>The methods returning collections or maps always return views of the underlying table.
 * Updating the table can change the contents of those collections, and updating the collections

 * "The .NET Developer's Guide to Windows Security" (which is also
 * available online).
 * <p>
 * Direct ACEs are evaluated first in order. The SID of the user performing
 * the operation and the desired access bits are compared to the SID
 * and access mask of each ACE. If the SID matches, the allow/deny flags
 * and access mask are considered. If the ACE is a "deny"

   * all super-classes, that are annotated with {@code @Subscribe}. The cache is shared across all
   * instances of this class; this greatly improves performance if multiple EventBus instances are
   * created and objects of the same class are registered on all of them.
   */
  private static final LoadingCache<Class<?>, ImmutableList<Method>> subscriberMethodsCache =

 *       in any other way than how {@code Stopwatch} uses them.
 *   <li>An alternative source of nanosecond ticks can be substituted, for example for testing or
 *       performance reasons, without affecting most of your code.
 * </ul>
 *
 * <p>The one downside of {@code Stopwatch} relative to {@link System#nanoTime()} is that {@code

   * This implementation requires O(|N|) time. Classes extending this one may manually keep track of
   * the number of edges as the graph is updated, and override this method for better performance.
   */
  protected long edgeCount() {
    long degreeSum = 0L;
    for (N node : nodes()) {
      degreeSum += degree(node);
    }

	shardFileSize := e.ShardFileSize(totalLength)
	endShard := (startOffset + length) / e.blockSize
	tillOffset := min(endShard*shardSize+shardSize, shardFileSize)
	return tillOffset
}

// erasureSelfTest performs a self-test to ensure that erasure
// algorithms compute expected erasure codes. If any algorithm
// produces an incorrect value it fails with a hard error.
//

 * @since 2.0
 */
@GwtCompatible
public abstract class ImmutableMultimap<K, V> extends BaseImmutableMultimap<K, V>
    implements Serializable {

  /**
   * Returns an empty multimap.
   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   */
  public static <K, V> ImmutableMultimap<K, V> of() {
    return ImmutableListMultimap.of();
  }

  /** Returns an immutable multimap containing a single entry. */

   * implementation.
   *
   * <p>Returns without doing anything if another thread is currently loading the value for {@code
   * key}. If the cache loader associated with this cache performs refresh asynchronously then this
   * method may return before refresh completes.
   *
   * @since 11.0
   */
  void refresh(K key);

  /**
   * {@inheritDoc}
   *

                    Arguments.of(NegTokenInit.INTEGRITY | NegTokenInit.CONFIDENTIALITY), Arguments.of(0xFF) // All flags set
            );
        }
    }

    @Nested
    @DisplayName("Performance and Stability Tests")
    class PerformanceTests {

        @RepeatedTest(value = 10, name = "Repeated encoding/decoding stability test {currentRepetition}/{totalRepetitions}")