type ReconcilerFn func(key types.NamespacedName) error

// Queue defines an abstraction around Kubernetes' workqueue.
// Items enqueued are deduplicated; this generally means relying on ordering of events in the queue is not feasible.
type Queue struct {
	queue       workqueue.RateLimitingInterface
	initialSync *atomic.Bool
	name        string
	maxAttempts int
	workFn      func(key any) error
	closed      chan struct{}

            }

            private void addDependencyTo(List<Dependency> dependencies, String notation) {
                // project.getDependencies().create(String) seems to be the only feasible way to create a Dependency with a classifier
                dependencies.add(project.getDependencies().create(notation));
            }

   */
  @Override
  List<V> createCollection() {
    return new ArrayList<>(expectedValuesPerKey);
  }

  /**
   * Reduces the memory used by this {@code ArrayListMultimap}, if feasible.
   *
   * @deprecated For a {@link ListMultimap} that automatically trims to size, use {@link
   *     ImmutableListMultimap}. If you need a mutable collection, remove the {@code trimToSize}

	// used to score nodes based on the utilization of statically provisioned
	// PVs. The utilization is calculated by dividing the total requested
	// storage of the pod by the total capacity of feasible PVs on each node.
	// Each point contains utilization (ranges from 0 to 100) and its
	// associated score (ranges from 0 to 10). You can turn the priority by
	// specifying different scores for different utilization numbers.

		statusCode = framework.Error
		return feasibleNodes, err
	}
	return feasibleNodes, nil
}

// numFeasibleNodesToFind returns the number of feasible nodes that once found, the scheduler stops
// its search for more feasible nodes.
func (sched *Scheduler) numFeasibleNodesToFind(percentageOfNodesToScore *int32, numAllNodes int32) (numNodes int32) {
	if numAllNodes < minFeasibleNodesToFind {
		return numAllNodes

// (such as the etcd key) as part of the authenticated data.
//
// Because this mode requires a generated IV and IV reuse is a known weakness of AES-GCM, keys
// must be rotated before a birthday attack becomes feasible. NIST SP 800-38D
// (http://csrc.nist.gov/publications/nistpubs/800-38D/SP-800-38D.pdf) recommends using the same
// key with random 96-bit nonces (the default nonce length) no more than 2^32 times, and

   * in the class javadoc.
   *
   * <p>If you can represent the duration as a {@link java.time.Duration} (which should be preferred
   * when feasible), use {@link #expireAfterWrite(Duration)} instead.
   *
   * @param duration the length of time after an entry is created that it should be automatically
   *     removed

		// empty rather than to the field name.
		finfo.name = tag
		return finfo, nil
	}

	if tag == "" {
		// If the name part of the tag is completely empty, get
		// default from XMLName of underlying struct if feasible,
		// or field name otherwise.
		if xmlname := lookupXMLName(f.Type); xmlname != nil {
			finfo.xmlns, finfo.name = xmlname.xmlns, xmlname.name
		} else {
			finfo.name = f.Name
		}
		return finfo, nil
	}

"PercentageOfNodesToScore is the percentage of all nodes that once found feasible for running a pod, the scheduler stops its search for more feasible nodes in the cluster. This helps improve scheduler's performance. Scheduler always tries to find at least \"minFeasibleNodesToFind\" feasible nodes no matter what the value of this flag is. Example: if the cluster size is 500 nodes and the value of this flag is 30, then scheduler stops finding further feasible nodes once it finds 150 feasible ones. When the value is...

   *   putIfZero.
   *
   * - Allow putIfAbsent and replace to distinguish between zero and absent, but don't implement
   *   remove(K, long). Without any two-phase operations it becomes feasible for all remaining
   *   operations to distinguish between zero and absent. If we do this, then perhaps we should add
   *   replace(key, long).
   *