};

    future = service.schedule(runnable, 5, MINUTES);
    future.cancel(true);
    assertTrue(future.isCancelled());
    delegateFuture = (ScheduledFuture<?>) delegateQueue.element();
    assertTrue(delegateFuture.isCancelled());

    delegateQueue.clear();

    future = service.scheduleAtFixedRate(runnable, 5, 5, MINUTES);
    future.cancel(true);
    assertTrue(future.isCancelled());

	}
	if len(l.lockUID) != len(rResources)+len(wResources) {
		t.Fatalf("lockUID len, got %d, want %d + %d", len(l.lockUID), len(rResources), len(wResources))
	}

	// Expire a minute ago.
	l.expireOldLocks(-time.Minute)
	if len(l.lockMap) != 0 {
		t.Fatalf("after cleanup should be empty, got %d", len(l.lockMap))
	}
	if len(l.lockUID) != 0 {
		t.Fatalf("lockUID len, got %d, want %d", len(l.lockUID), 0)
	}
}

// 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"`

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 {

}

// Update replication upload latency with a new value
func (rl *ReplicationLatency) update(size int64, duration time.Duration) {
	rl.UploadHistogram.Add(size, duration)
}

// ReplicationLastMinute has last minute replication counters
type ReplicationLastMinute struct {
	LastMinute lastMinuteLatency
}

func (rl ReplicationLastMinute) merge(other ReplicationLastMinute) (nl ReplicationLastMinute) {

namespace tensorflow {
namespace gradients {

/* Returns numerical grad inside `dtheta_approx` given `forward` model and
 * parameter specified by `input_index`.
 *
 * I.e. if y = <output of the forward model> and w = inputs[input_index],
 * this will calculate dy/dw numerically.
 *
 * `use_function` indicates whether to use graph mode(true) or eager(false).
 *
 * `numerical_grad` is the pointer to the AbstractTensorHandle* which will

and error rates are from the perspective of the service itself and not of an
individual client (or aggregate set of clients). Rates and latencies are
calculated over a time interval of 1 minute.
`,
		Example: `  # Retrieve workload metrics for productpage-v1 workload
  istioctl experimental metrics productpage-v1

  # Retrieve workload metrics for various services with custom duration

            TaskInputs inputs = task.getInputs();
            inputs.files(extension.getCssFiles())
                .withPropertyName("manual")
                .withPathSensitivity(PathSensitivity.RELATIVE);
            inputs.dir("src/main/resources")
                .withPropertyName("resources")
                .withPathSensitivity(PathSensitivity.RELATIVE);
            inputs.dir(extension.getUserManual().getSnippets())

  }

  @Override
  protected Map<String, Integer> makePopulatedMap() {
    return ImmutableBiMap.of("one", 1, "two", 2, "three", 3);
  }

  @Override
  protected String getKeyNotInPopulatedMap() {
    return "minus one";
  }

  @Override
  protected Integer getValueNotInPopulatedMap() {
    return -1;
  }

// KMS is a connection to a key management system.
// It implements various cryptographic operations,
// like data key generation and decryption.
type KMS struct {
	// Type identifies the KMS implementation. Either,
	// MinKMS, MinKES or Builtin.
	Type Type

	// The default key, used for generating new data keys
	// if no explicit GenerateKeyRequest.Name is provided.
	DefaultKey string

	conn conn // Connection to the KMS