for (int i = 0; i < 8; i++) {
      limiter.acquire(); // // #1
    }
    stopwatch.sleepMillis(4500); // #2: back to cold state (warmup period + repay last acquire)
    for (int i = 0; i < 3; i++) { // only three steps, we're somewhere in the warmup period
      limiter.acquire(); // #3
    }

    limiter.setRate(4.0); // double the rate!

    for (int i = 0; i < 8; i++) {
      limiter.acquire(); // // #1
    }
    stopwatch.sleepMillis(4500); // #2: back to cold state (warmup period + repay last acquire)
    for (int i = 0; i < 3; i++) { // only three steps, we're somewhere in the warmup period
      limiter.acquire(); // #3
    }

    limiter.setRate(4.0); // double the rate!

                listOf(
                    "clean",
                    "performance:${testProject}PerformanceAdHocTest",
                    tests.map { """--tests "$it"""" }.joinToString(" "),
                    """--warmups 2 --runs 2 --checks none""",
                    "-PtestJavaVersion=${os.perfTestJavaVersion.major}",
                    "-PtestJavaVendor=${os.perfTestJavaVendor.name.lowercase()}",

    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, init = {
        id(buildTypeId(model))
        name = "Compile All"
        description = "Compiles all production/test source code and warms up the build cache"

        features {
            publishBuildStatusToGithub(model)
        }

        applyDefaults(
            model,
            this,

    }

    // Test default values
    public void xtest_defaultValues() { // Disabled due to initialization issues
        // Test getLastaDiSmartDeployMode
        assertEquals("warm", fessEnv.getLastaDiSmartDeployMode());

        // Test getDevelopmentHere and isDevelopmentHere
        assertEquals("true", fessEnv.getDevelopmentHere());
        assertTrue(fessEnv.isDevelopmentHere());

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"testing"
	"time"
)

func TestTierMetrics(t *testing.T) {
	tier := "WARM-1"
	globalTierMetrics.Observe(tier, 200*time.Millisecond)
	expSuccess := 10
	expFailure := 5
	for range expSuccess {
		globalTierMetrics.logSuccess(tier)
	}
	for range expFailure {

		Help:      "Distribution of time to last byte for objects downloaded from warm tier",
		Type:      gaugeMetric,
	}

	// {minio_node}_{tier}_{requests_success}
	tierRequestsSuccessMD = MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: tierSubsystem,
		Name:      tierRequestsSuccess,
		Help:      "Number of requests to download object from warm tier that were successful",
		Type:      counterMetric,
	}

    private static final double TIMING_TOLERANCE = 2.0; // 200% tolerance - JVM timing is inherently variable for timing variations

    @BeforeEach
    public void setUp() {
        // Warm up JVM to reduce JIT compilation effects
        for (int i = 0; i < 100; i++) {
            NtlmPasswordAuthenticator auth1 = new NtlmPasswordAuthenticator("testdomain", "testuser", "password123");

| `minio_node_tier_tier_ttlb_seconds_distribution`   | Distribution of time to last byte for objects downloaded from warm tier     |
| `minio_node_tier_requests_success`                 | Number of requests to download object from warm tier that were successful   | 
| `minio_node_tier_requests_failure`                 | Number of requests to download object from warm tier that were failure      | 

## System Metrics

*   Added warmup capabilities to `tf.keras.optimizers.schedules.CosineDecay` learning rate scheduler. You can now specify an initial and target learning rate, and our scheduler will perform a linear interpolation between the two after which it will begin a decay phase....