it.next();
      it.remove();
    }
    segment.evictEntries(entry);
    assertThat(map).hasSize(maxSize);
    assertThat(map).isEqualTo(originalMap);
  }

  // reference queues

  public void testDrainKeyReferenceQueueOnWrite() {
    for (CacheBuilder<Object, Object> builder : allKeyValueStrengthMakers()) {
      LocalCache<Object, Object> map = makeLocalCache(builder.concurrencyLevel(1));

      it.next();
      it.remove();
    }
    segment.evictEntries(entry);
    assertThat(map).hasSize(maxSize);
    assertThat(map).isEqualTo(originalMap);
  }

  // reference queues

  public void testDrainKeyReferenceQueueOnWrite() {
    for (CacheBuilder<Object, Object> builder : allKeyValueStrengthMakers()) {
      LocalCache<Object, Object> map = makeLocalCache(builder.concurrencyLevel(1));

    mostRecentRebuildFailed = false
  }

  /**
   * Returns a snapshot of the entry named [key], or null if it doesn't exist is not currently
   * readable. If a value is returned, it is moved to the head of the LRU queue.
   */
  @Synchronized
  @Throws(IOException::class)
  operator fun get(key: String): Snapshot? {
    initialize()

    checkNotClosed()
    validateKey(key)

    assertFalse(segment.clearValueForTesting(key, hash, valueRef));
    segment.setWeakValueReferenceForTesting(entry, valueRef);
    assertTrue(segment.clearValueForTesting(key, hash, valueRef));
  }

  // reference queues

  public void testDrainKeyReferenceQueueOnWrite() {
    for (MapMaker maker : allWeakKeyStrengthMakers()) {
      MapMakerInternalMap<Object, Object, ?, ?> map = makeMap(maker.concurrencyLevel(1));

    assertFalse(segment.clearValueForTesting(key, hash, valueRef));
    segment.setWeakValueReferenceForTesting(entry, valueRef);
    assertTrue(segment.clearValueForTesting(key, hash, valueRef));
  }

  // reference queues

  public void testDrainKeyReferenceQueueOnWrite() {
    for (MapMaker maker : allWeakKeyStrengthMakers()) {
      MapMakerInternalMap<Object, Object, ?, ?> map = makeMap(maker.concurrencyLevel(1));

Fixed a situation when, sometimes, the scheduler incorrectly placed a pod in the `unschedulable` queue instead of the `backoff` queue. This happened when some plugin previously declared the pod as `unschedulable` and then in a later attempt encounters some other error. Scheduling of that pod then got delayed by up to five minutes, after which periodic flushing moved the pod back into the `active` queue. ([#120334](https://github.com/kubernetes/kubernetes/pull/120334), [@pohly](https://github.com/pohly))...

 * </ul>
 *
 * <p>Advantages compared to {@link com.google.common.collect.ImmutableList ImmutableList}{@code
 * <Double>}:
 *
 * <ul>
 *   <li>Improved memory compactness and locality.
 *   <li>Can be queried without allocating garbage.
 *   <li>Access to {@code DoubleStream} features (like {@link DoubleStream#sum}) using {@code
 *       stream()} instead of the awkward {@code stream().mapToDouble(v -> v)}.
 * </ul>
 *

 * </ul>
 *
 * <p>Advantages compared to {@link com.google.common.collect.ImmutableList ImmutableList}{@code
 * <Integer>}:
 *
 * <ul>
 *   <li>Improved memory compactness and locality.
 *   <li>Can be queried without allocating garbage.
 *   <li>Access to {@code IntStream} features (like {@link IntStream#sum}) using {@code stream()}
 *       instead of the awkward {@code stream().mapToInt(v -> v)}.
 * </ul>
 *

### Dependencias Opcionales Adicionales { #additional-optional-dependencies }

Existen algunas dependencias adicionales que podrías querer instalar.

Dependencias opcionales adicionales de Pydantic:

* [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) - para la gestión de configuraciones.

### Dependências opcionais adicionais { #additional-optional-dependencies }

Existem algumas dependências adicionais que você pode querer instalar.

Dependências opcionais adicionais do Pydantic:

* [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) - para gerenciamento de configurações.