* tasks. Second, the returned list will always be empty, as any submitted task is considered to
   * have started execution. This applies also to tasks given to {@code invokeAll} or {@code
   * invokeAny} which are pending serial execution, even the subset of the tasks that have not yet
   * started execution. It is unclear from the {@code ExecutorService} specification if these should

   * tasks. Second, the returned list will always be empty, as any submitted task is considered to
   * have started execution. This applies also to tasks given to {@code invokeAll} or {@code
   * invokeAny} which are pending serial execution, even the subset of the tasks that have not yet
   * started execution. It is unclear from the {@code ExecutorService} specification if these should

    };

    static final String[] NT_STATUS_MESSAGES = {
        "The operation completed successfully.", "Request is pending", "A notify change request is being completed.",
        "The data was too large to fit into the specified buffer.", "A device attached to the system is not functioning.", "Incorrect function.",

func TestParseRestoreObjStatus(t *testing.T) {
	testCases := []struct {
		restoreHdr     string
		expectedStatus restoreObjStatus
		expectedErr    error
	}{
		{
			// valid: represents a restored object, 'pending' expiry.
			restoreHdr: `ongoing-request="false", expiry-date="Fri, 21 Dec 2012 00:00:00 GMT"`,
			expectedStatus: restoreObjStatus{
				ongoing: false,
				expiry:  time.Date(2012, 12, 21, 0, 0, 0, 0, time.UTC),
			},

	fi := FileInfo{
		Volume:           "volume",
		Name:             "object-name",
		VersionID:        "756100c6-b393-4981-928a-d49bbc164741",
		IsLatest:         true,
		Deleted:          false,
		TransitionStatus: "PENDING",
		DataDir:          "bffea160-ca7f-465f-98bc-9b4f1c3ba1ef",
		XLV1:             false,
		ModTime:          time.Now(),
		Size:             1234456,
		Mode:             0,
		Metadata: map[string]string{

fs.s3a.secret.key=minio123
fs.s3a.path.style.access=true
fs.s3a.block.size=512M
fs.s3a.buffer.dir=${hadoop.tmp.dir}/s3a
fs.s3a.committer.magic.enabled=false
fs.s3a.committer.name=directory
fs.s3a.committer.staging.abort.pending.uploads=true
fs.s3a.committer.staging.conflict-mode=append
fs.s3a.committer.staging.tmp.path=/tmp/staging
fs.s3a.committer.staging.unique-filenames=true
fs.s3a.connection.establish.timeout=5000

			srs.Latency.update(st.TransferSize, st.TransferDuration)
			srs.updateXferRate(st.TransferSize, st.TransferDuration)
		}
	case st.Failed:
		srs.Failed.addsize(st.TransferSize, st.Err)
	case st.Pending:
	}
	sr.M[dID] = srs
}

func (sr *SRStats) get() map[string]SRMetric {
	epMap := globalBucketTargetSys.healthStats()

	sr.lock.RLock()
	defer sr.lock.RUnlock()

//
// They are consumed by the kube-scheduler when a CSI driver opts into
// capacity-aware scheduling with CSIDriverSpec.StorageCapacity. The scheduler
// compares the MaximumVolumeSize against the requested size of pending volumes
// to filter out unsuitable nodes. If MaximumVolumeSize is unset, it falls back
// to a comparison against the less precise Capacity. If that is also unset,

2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

  /**
   * This method is called by {@link #stopAsync} when the service is still starting (i.e. {@link
   * #startAsync} has been called but {@link #notifyStarted} has not). Subclasses can override the
   * method to cancel pending work and then call {@link #notifyStopped} to stop the service.
   *
   * <p>This method should return promptly; prefer to do work on a different thread where it is