}

// BenchmarkPutObject5MbErasure - Benchmark Erasure.PutObject() for object size of 5MB.
func BenchmarkPutObject5MbErasure(b *testing.B) {
	benchmarkPutObject(b, "Erasure", 5*humanize.MiByte)
}

// BenchmarkPutObject10MbFS - Benchmark FS.PutObject() for object size of 10MB.
func BenchmarkPutObject10MbFS(b *testing.B) {
	benchmarkPutObject(b, "FS", 10*humanize.MiByte)
}

  public static int log2(double x, RoundingMode mode) {
    checkArgument(x > 0.0 && isFinite(x), "x must be positive and finite");
    int exponent = getExponent(x);
    if (!isNormal(x)) {
      return log2(x * IMPLICIT_BIT, mode) - SIGNIFICAND_BITS;
      // Do the calculation on a normal value.
    }
    // x is positive, finite, and normal
    boolean increment;
    switch (mode) {
      case UNNECESSARY:

	// this value is kept here to calculate the max API
	// requests based on RAM size for existing content.
	blockSizeV1 = 10 * humanize.MiByte

	// Block size used in erasure coding version 2.
	blockSizeV2 = 1 * humanize.MiByte

	// Buckets meta prefix.
	bucketMetaPrefix = "buckets"

	// Deleted Buckets prefix.
	deletedBucketsPrefix = ".deleted"

  public void testSchedule() {
    MockExecutor mock = new MockExecutor();
    TestExecutor testExecutor = new TestExecutor(mock);

    Future<?> unused1 = testExecutor.schedule(() -> {}, 10, MINUTES);
    mock.assertLastMethodCalled("scheduleRunnable", 10, MINUTES);

    Future<?> unused2 = testExecutor.schedule(() -> null, 5, SECONDS);
    mock.assertLastMethodCalled("scheduleCallable", 5, SECONDS);
  }

  public void testSchedule_repeating() {

		Type:      gaugeMetric,
	}
}

func getRepFailedOperationsLastMinuteMD(namespace MetricNamespace) MetricDescription {
	return MetricDescription{
		Namespace: namespace,
		Subsystem: replicationSubsystem,
		Name:      lastMinFailedCount,
		Help:      "Total number of objects which failed replication in the last full minute",
		Type:      gaugeMetric,
	}
}

package cmd

import (
	"context"
	"time"
)

var sharedLockTimeout = newDynamicTimeoutWithOpts(dynamicTimeoutOpts{
	timeout:       30 * time.Second,
	minimum:       10 * time.Second,
	retryInterval: time.Minute,
})

type sharedLock struct {
	lockContext chan LockContext
}

func (ld sharedLock) backgroundRoutine(ctx context.Context, objAPI ObjectLayer, lockName string) {
	for {

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

package dns

import (
	"encoding/json"
	"time"
)

const (
	defaultTTL            = 30
	defaultContextTimeout = 5 * time.Minute
)

// SrvRecord - represents a DNS service record
type SrvRecord struct {
	Host     string      `json:"host,omitempty"`
	Port     json.Number `json:"port,omitempty"`
	Priority int         `json:"priority,omitempty"`

    // Test edge cases to understand the validation behavior
    @Test
    public void test_edgeCaseBehavior() {
        String[] edgeCases = { "0 0 25 * * ?", // Invalid day of month
                "0 60 * * * ?", // Invalid minute
                "0 0 0 32 1 ?", // Invalid day
                "0 0 0 1 13 ?", // Invalid month
        };

        for (String cron : edgeCases) {
            boolean result = validator.determineValid(cron);

    assertThat(TWO_VALUES_PAIRED_STATS.populationCovariance())
        .isWithin(ALLOWED_ERROR)
        .of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / 2);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();

    assertThat(TWO_VALUES_PAIRED_STATS.populationCovariance())
        .isWithin(ALLOWED_ERROR)
        .of(TWO_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / 2);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();