allDriveLabels...)
	driveWaitingIOMD = NewGaugeMD(driveWaitingIO,
		"Total waiting I/O operations on a drive", allDriveLabels...)
	driveAPILatencyMD = NewGaugeMD(driveAPILatencyMicros,
		"Average last minute latency in µs for drive API storage operations",
		append(allDriveLabels, apiL)...)
	driveHealthMD = NewGaugeMD(driveHealth,
		"Drive health (0 = offline, 1 = healthy, 2 = healing)", allDriveLabels...)

	case sizeLessThan1GiB:
		return "LESS_THAN_1_GiB"
	case sizeGreaterThan1GiB:
		return "GREATER_THAN_1_GiB"
	default:
		return "unknown"
	}
}

// AccElem holds information for calculating an average value
type AccElem struct {
	Total int64
	Size  int64
	N     int64
}

// Add a duration to a single element.
func (a *AccElem) add(dur time.Duration) {
	if dur < 0 {
		dur = 0
	}

 *       <ul>
 *         <li>2 levels: average of 64ns per lock()/unlock()
 *         <li>3 levels: average of 77ns per lock()/unlock()
 *         <li>4 levels: average of 99ns per lock()/unlock()
 *         <li>5 levels: average of 103ns per lock()/unlock()
 *         <li>10 levels: average of 184ns per lock()/unlock()
 *         <li>20 levels: average of 393ns per lock()/unlock()
 *       </ul>
 * </ul>
 *

import org.codehaus.plexus.component.configurator.expression.ExpressionEvaluator;
import org.codehaus.plexus.configuration.PlexusConfiguration;

/**
 * A component configurator which can leverage the {@link EnhancedConfigurationConverter}
 * and {@link EnhancedConverterLookup}.
 */
@Singleton
@Named("enhanced")
public class EnhancedComponentConfigurator extends BasicComponentConfigurator {

    public static final String LOG_TYPE_SEARCH_USER_DAY = "search_user_day_agg";

    /** Log type constant for hourly average request time aggregation. */
    public static final String LOG_TYPE_SEARCH_REQTIMEAVG_HOUR = "search_reqtimeavg_hour_agg";

    /** Log type constant for daily average request time aggregation. */
    public static final String LOG_TYPE_SEARCH_REQTIMEAVG_DAY = "search_reqtimeavg_day_agg";

	internodeDialedErrorsTotalMD = NewCounterMD(internodeDialErrorsTotal,
		"Total number of internode TCP dial timeouts and errors")
	internodeDialAvgTimeNanosMD = NewGaugeMD(internodeDialAvgTimeNanos,
		"Average dial time of internode TCP calls in nanoseconds")
	internodeSentBytesTotalMD = NewCounterMD(internodeSentBytesTotal,
		"Total number of bytes sent to other peer nodes")

            // Analyze timing consistency across threads
            if (!timings.isEmpty()) {
                double avgTime = timings.stream().mapToLong(Long::longValue).average().orElse(0.0);
                long maxTime = timings.stream().mapToLong(Long::longValue).max().orElse(0L);
                long minTime = timings.stream().mapToLong(Long::longValue).min().orElse(0L);

	dialect := DB.Dialector.Name()
	switch dialect {
	case "mysql", "sqlserver":
		// these dialects do not support the "returning" clause
		return
	default:
		// This user struct will leverage the existing users table, but override
		// the Name field to default to null.
		type user struct {
			gorm.Model
			Name string `gorm:"default:null"`
		}
		u1 := user{}

What would have happened if Gradle was limited to _only Java 11_ at the time?

## Decision

1. The Gradle distribution will never include a Java runtime.
   Instead, Gradle will leverage Java toolchains for the Daemon and worker processes.
2. The Gradle Daemon, Worker processes, and Tooling API client will continue to support running on different Java versions during a single Gradle invocation.

 *       <ul>
 *         <li>2 levels: average of 64ns per lock()/unlock()
 *         <li>3 levels: average of 77ns per lock()/unlock()
 *         <li>4 levels: average of 99ns per lock()/unlock()
 *         <li>5 levels: average of 103ns per lock()/unlock()
 *         <li>10 levels: average of 184ns per lock()/unlock()
 *         <li>20 levels: average of 393ns per lock()/unlock()
 *       </ul>
 * </ul>
 *