throw new AssertionError(e);
    }
  }

  /**
   * Ensures that all interface methods of {@code forwarderClass} are forwarded to the {@link
   * ForwardingObject#delegate}. {@code forwarderClass} is assumed to only implement one interface.
   */
  static <T extends ForwardingObject> void testForwardingObject(Class<T> forwarderClass) {
    List<Class<?>> interfaces = new ArrayList<>(Arrays.asList(forwarderClass.getInterfaces()));

## 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.

 * <h3>Upgrade to Maven 4.1.0 with Inference</h3>
 * <pre>{@code
 * mvnup apply --model 4.1.0 --infer
 * }</pre>
 *
 * <h2>Extension Points</h2>
 *
 * <p>To add new upgrade strategies:</p>
 * <ol>
 *   <li>Implement {@link org.apache.maven.cling.invoker.mvnup.goals.UpgradeStrategy}</li>
 *   <li>Optionally extend {@link org.apache.maven.cling.invoker.mvnup.goals.AbstractUpgradeStrategy}</li>

import java.util.concurrent.ExecutionException;

/**
 * This class provides a skeletal implementation of the {@code Cache} interface to minimize the
 * effort required to implement this interface.
 *
 * <p>To implement a cache, the programmer needs only to extend this class and provide an
 * implementation for the {@link #put} and {@link #getIfPresent} methods. {@link #getAllPresent} is

        @Test
        @DisplayName("Should implement NegotiateContextRequest interface")
        void testImplementsNegotiateContextRequest() {
            EncryptionNegotiateContext context = new EncryptionNegotiateContext();

            assertTrue(context instanceof NegotiateContextRequest);
        }

        @Test
        @DisplayName("Should implement NegotiateContextResponse interface")

	RowsAffected int64
	Err          error
}

// New trace recorder
func (l *traceRecorder) New() *traceRecorder {
	return &traceRecorder{Interface: l.Interface, BeginAt: time.Now()}
}

// Trace implement logger interface
func (l *traceRecorder) Trace(ctx context.Context, begin time.Time, fc func() (string, int64), err error) {
	l.BeginAt = begin
	l.SQL, l.RowsAffected = fc()
	l.Err = err
}

		APICode: "kms:NotSupported",
		Err:     "requested functionality is not supported",
	}
)

// Error is a KMS error that can be translated into an S3 API error.
//
// It does not implement the standard error Unwrap interface for
// better error log messages.
type Error struct {
	Code    int    // The HTTP status code returned to the client
	APICode string // The API error code identifying the error

    // load timeout multiplier.  Or we could try to use a CPU time bound instead of wall clock time
    // bound.  But these ideas are harder to implement.  We do not try to detect or handle a
    // user-specified -XX:+DisableExplicitGC.
    //
    // TODO(user): Consider using
    // java/lang/management/OperatingSystemMXBean.html#getSystemLoadAverage()
    //

import org.dbflute.optional.OptionalThing;

/**
 * Abstract base class for rank fusion searchers in the Fess search system.
 * Rank fusion searchers are responsible for executing search queries and
 * can be combined to implement advanced ranking strategies.
 */
public abstract class RankFusionSearcher {
    /** The name of this searcher, lazily initialized. */
    protected String name;

    /**

import java.util.concurrent.ExecutionException;

/**
 * This class provides a skeletal implementation of the {@code Cache} interface to minimize the
 * effort required to implement this interface.
 *
 * <p>To implement a cache, the programmer needs only to extend this class and provide an
 * implementation for the {@link #put} and {@link #getIfPresent} methods. {@link #getAllPresent} is