* (AbstractFutureState class initialization can log, and that logging could in theory call into
   * AbstractFuture, which wouldn't yet have had the chance to perform any class initialization of
   * its own.)
   */

  /** A special value to represent {@code null}. */
  static final Object NULL = new Object();

  /*
   * Despite declaring this field in AbstractFutureState, we still use the logger for

     */
    public void failure(Service service) {}
  }

  /**
   * An encapsulation of all of the state that is accessed by the {@linkplain ServiceListener
   * service listeners}. This is extracted into its own object so that {@link ServiceListener} could
   * be made {@code static} and its instances can be safely constructed and added in the {@link
   * ServiceManager} constructor without having to close over the partially constructed {@link

* Based on Python type hints.
* Validation and documentation from these types.
* Dependency Injection system.

It doesn't use a data validation, serialization and documentation third-party library like Pydantic, it has its own. So, these data type definitions would not be reusable as easily.

 * </ul>
 *
 * <h3>Implementations</h3>
 *
 * <ul>
 *   <li>{@link ImmutableListMultimap}
 *   <li>{@link ImmutableSetMultimap}
 *   <li>Configure your own mutable multimap with {@link MultimapBuilder}
 *   <li>{@link LinkedListMultimap} (for one unusual kind of mutable {@code Multimap})
 * </ul>
 *

      // before the cancelled future completes, it will synchronously complete both the newFuture
      // from the cancelled operation and its own. This can cause one runnable to queue two tasks,
      // breaking the invariant this method relies on to iteratively run the next task after the
      // previous one completes.
      if (get() == RunningState.CANCELLED) {

     *
     * In theory, we can quickly determine the size of any Collection. However, thanks to
     * regrettable implementations like our own Sets.filter, Collection.size() is sometimes a
     * linear-time operation, and it can even have side effects. Thus, we limit the special case to

### Generic types with type parameters { #generic-types-with-type-parameters }

There are some data structures that can contain other values, like `dict`, `list`, `set` and `tuple`. And the internal values can have their own type too.

These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types.

 * href="https://github.com/lukas-krecan/future-converter">Future Converter</a>.)
 *
 * <h3>Extension</h3>
 *
 * If you want a class like {@code FluentFuture} but with extra methods, we recommend declaring your
 * own subclass of {@link ListenableFuture}, complete with a method like {@link #from} to adapt an
 * existing {@code ListenableFuture}, implemented atop a {@link ForwardingListenableFuture} that

With the default (empty) value for `srv_record_name`, MinIO **will not** perform any SRV record request.

The value of `srv_record_name` does not affect any TLS settings - they must be configured with their own parameters.

### Lookup-Bind

	chunkSHA256Writer hash.Hash // Calculates sha256 of chunk data.
	buffer            []byte
	offset            int
	err               error
	debug             bool // Print details on failure. Add your own if more are needed.
}

func (cr *s3ChunkedReader) Close() (err error) {
	return nil
}

// Now, we read one chunk from the underlying reader.
// A chunk has the following format:
//