return expression.replace("$$", "$");
        }

        Map<String, Object> objects = new HashMap<>();
        objects.put("session.", session);
        objects.put("project.", project);
        objects.put("mojo.", mojoExecution);
        objects.put("settings.", session.getSettings());
        for (Map.Entry<String, Object> ctx : objects.entrySet()) {
            if (expression.startsWith(ctx.getKey())) {
                try {

   *
   * @since 7.0
   */
  protected boolean standardEquals(@Nullable Object object) {
    if (object instanceof Entry) {
      Entry<?, ?> that = (Entry<?, ?>) object;
      return Objects.equals(this.getKey(), that.getKey())
          && Objects.equals(this.getValue(), that.getValue());
    }
    return false;
  }

  /**
   * A sensible definition of {@link #hashCode()} in terms of {@link #getKey()} and {@link

}

// DeleteObjectsRequest - xml carrying the object key names which needs to be deleted.
type DeleteObjectsRequest struct {
	// Element to enable quiet mode for the request
	Quiet bool
	// List of objects to be deleted
	Objects []ObjectToDelete `xml:"Object"`

# ADR-0002 - Avoid using Java serialization

## Date

2012-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

    Ordering<Number> unusedF = numbers.compound(objects).compound(objects); // bad IDEA
    Ordering<Number> unusedG = objects.compound(numbers).compound(objects);
    Ordering<Number> unusedH = objects.compound(objects).compound(numbers);

    Ordering<Number> unusedI = numbers.compound(objects.compound(objects));
    Ordering<Number> unusedJ = objects.compound(numbers.compound(objects)); // bad IDEA

    Ordering<Number> unusedF = numbers.compound(objects).compound(objects); // bad IDEA
    Ordering<Number> unusedG = objects.compound(numbers).compound(objects);
    Ordering<Number> unusedH = objects.compound(objects).compound(numbers);

    Ordering<Number> unusedI = numbers.compound(objects.compound(objects));
    Ordering<Number> unusedJ = objects.compound(numbers.compound(objects)); // bad IDEA

	if !opts.NoAuditLog {
		for _, obj := range objects {
			auditObjectErasureSet(ctx, "DeleteObjects", obj.ObjectName, &er)
		}
	}

	errs := make([]error, len(objects))
	dobjects := make([]DeletedObject, len(objects))
	writeQuorums := make([]int, len(objects))

	storageDisks := er.getDisks()

	for i := range objects {
		// Assume (N/2 + 1) quorums for all objects
		// this is a theoretical assumption such that

                        && Objects.equals(path, that.path)
                        && Objects.equals(source, that.source)
                        && Objects.equals(repositories, that.repositories);
            }

            @Override
            public int hashCode() {
                return Objects.hash(path, source, allowStubModel, recursive, processPlugins, repositories);

const metacacheStreamVersion = 2

// metacacheWriter provides a serializer of metacache objects.
type metacacheWriter struct {
	streamErr   error
	mw          *msgp.Writer
	creator     func() error
	closer      func() error
	blockSize   int
	streamWg    sync.WaitGroup
	reuseBlocks bool
}

// newMetacacheWriter will create a serializer that will write objects in given order to the output.

 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs.util;

import jcifs.Encodable;

/**
 * Interface for objects that can be encoded to byte arrays.
 * Provides standardized method for converting objects to their binary representation.
 *
 * @author mbechler
 */
public class ByteEncodable implements Encodable {

    private final byte[] bytes;
    private final int off;