this.ranges = ranges;
      this.domain = domain;
    }

    Object readResolve() {
      return new ImmutableRangeSet<C>(ranges).asSet(domain);
    }
  }

  /**
   * Returns {@code true} if this immutable range set's implementation contains references to
   * user-created objects that aren't accessible via this range set's methods. This is generally

        Object deserialized = serializer.fromBinaryToObject(serialized);
        assertNotNull(deserialized, "Deserialized object should not be null");
        assertTrue("Deserialized object should be a Map", deserialized instanceof Map);

        @SuppressWarnings("unchecked")
        Map<String, Object> deserializedMap = (Map<String, Object>) deserialized;

   *     close() method is called.
   */
  public static void startFinalizer(
      Class<?> finalizableReferenceClass,
      ReferenceQueue<Object> queue,
      PhantomReference<Object> frqReference) {
    /*
     * We use finalizableReferenceClass for two things:
     *
     * 1) To invoke FinalizableReference.finalizeReferent()
     *

 * similar to those in this class for non-precondition checks.
 *
 * <h3>{@code java.util.Objects.requireNonNull()}</h3>
 *
 * <p>Projects which use {@code com.google.common} should generally avoid the use of {@link
 * java.util.Objects#requireNonNull(Object)}. Instead, use whichever of {@link
 * #checkNotNull(Object)} or {@link Verify#verifyNotNull(Object)} is appropriate to the situation.
 * (The same goes for the message-accepting overloads.)
 *

}

func (p poolMeta) ResumeBucketObject(idx int) (bucket, object string) {
	if p.Pools[idx].Decommission != nil {
		bucket = p.Pools[idx].Decommission.Bucket
		object = p.Pools[idx].Decommission.Object
	}
	return bucket, object
}

func (p *poolMeta) TrackCurrentBucketObject(idx int, bucket string, object string) {
	if p.Pools[idx].Decommission == nil {
		// Decommission not in progress.

import static com.google.common.collect.CollectPreconditions.checkNonnegative;
import static com.google.common.collect.CollectPreconditions.checkRemove;
import static java.util.Objects.requireNonNull;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.primitives.Ints;

Así que, si creamos un objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

y luego llamamos a:

```Python
user_dict = user_in.model_dump()
```

ahora tenemos un `dict` con los datos en la variable `user_dict` (es un `dict` en lugar de un objeto modelo Pydantic).

Y si llamamos a:

```Python

package jcifs;

/**
 * An Access Control Entry (ACE) is an element in a security descriptor
 * such as those associated with files and directories. The Windows OS
 * determines which users have the necessary permissions to access objects
 * based on these entries.
 * <p>
 * To fully understand the information exposed by this class a description
 * of the access check algorithm used by Windows is required. The following

//   snowball:
//     disable: false # optionally turn-off snowball archive transfer
//     batch: 100 # upto this many objects per archive
//     inmemory: true # indicates if the archive must be staged locally or in-memory
//     compress: true # S2/Snappy compressed archive
//     smallerThan: 5MiB # create archive for all objects smaller than 5MiB
//     skipErrs: false # skips any source side read() errors

 * java.util.LinkedHashSet}. Generally speaking, this class reduces object allocation and memory
 * consumption at the price of moderately increased constant factors of CPU. Only use this class
 * when there is a specific reason to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 */
@GwtIncompatible // not worth using in GWT for now
final class CompactLinkedHashSet<E extends @Nullable Object> extends CompactHashSet<E> {