* entries in thread-specific maps when the ThreadLocal object itself is no longer referenced,
   * ThreadLocal is usually implemented with a WeakReference, which can have negative performance
   * properties; for example, calling WeakReference.get() on Android will block during an
   * otherwise-concurrent GC cycle.
   */
  private static final class TaskNonReentrantExecutor extends AtomicReference<RunningState>

    return CollectCollectors.flatteningToImmutableListMultimap(keyFunction, valuesFunction);
  }

  /**
   * Returns the empty multimap.
   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   */
  // Casting is safe because the multimap will never hold any elements.
  @SuppressWarnings("unchecked")
  public static <K, V> ImmutableListMultimap<K, V> of() {

- Add 'cascade delete' support for Octavia load balancers to improve performance.
- Add improved load balancer naming.

### SIG-scheduling

SIG Scheduling development efforts have been primarily focused on improving performance and reliability of the scheduler.
- Performance of the inter-pod affinity/anti-affinity feature is improved over 100X via algorithmic optimization.

  /**
   * Returns the empty map. This map behaves and performs comparably to {@link
   * Collections#emptyMap}, and is preferable mainly for consistency and maintainability of your
   * code.
   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   */
  @SuppressWarnings("unchecked")
  public static <K, V> ImmutableMap<K, V> of() {
    return (ImmutableMap<K, V>) RegularImmutableMap.EMPTY;
  }

  /**

                
            case EXPLICIT_CLOSE:
                // Clean release
                releaseHandle(handle);
                break;
        }
    }
}
```

## 10. Performance Considerations

### 10.1 Handle Caching Strategy
```java
public class HandleCache {
    private final int maxHandles = 1000;
    private final LinkedHashMap<String, HandleInfo> lruCache;
    

Le sue caratteristiche principali sono:

* **Velocità**: Prestazioni molto elevate, alla pari di **NodeJS** e **Go** (grazie a Starlette e Pydantic). [Uno dei framework Python più veloci in circolazione](#performance).
* **Veloce da programmare**: Velocizza il lavoro consentendo il rilascio di nuove funzionalità tra il 200% e il 300% più rapidamente. *

          // getDeclaredField to throw a NoSuchFieldException when the field is definitely there.
          // For these users fallback to a suboptimal implementation, based on synchronized. This
          // will be a definite performance hit to those users.
          thrownAtomicReferenceFieldUpdaterFailure = atomicReferenceFieldUpdaterFailure;
          helper = new SynchronizedHelper();
        }
      }
    }
    ATOMIC_HELPER = helper;

    return CollectCollectors.flatteningToImmutableSetMultimap(keyFunction, valuesFunction);
  }

  /**
   * Returns the empty multimap.
   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   */
  // Casting is safe because the multimap will never hold any elements.
  @SuppressWarnings("unchecked")
  public static <K, V> ImmutableSetMultimap<K, V> of() {

 *
 * {@snippet :
 * void exampleBadCaller() {
 *   double d = sqrt(-1.0);
 * }
 * }
 *
 * <p>would be flagged as having called {@code sqrt()} with an illegal argument.
 *
 * <h3>Performance</h3>
 *
 * <p>Avoid passing message arguments that are expensive to compute; your code will always compute
 * them, even though they usually won't be needed. If you have such arguments, use the conventional

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