func (config *TierConfigMgr) getDriver(ctx context.Context, tierName string) (d WarmBackend, err error) {
	config.Lock()
	defer config.Unlock()

	var ok bool
	// Lookup in-memory drivercache
	d, ok = config.drivercache[tierName]
	if ok {
		return d, nil
	}

	// Initialize driver from tier config matching tierName
	t, ok := config.Tiers[tierName]
	if !ok {

		Subsystem: processSubsystem,
		Name:      memory,
		Help:      "Resident memory size in bytes",
		Type:      gaugeMetric,
	}
}

func getMinIOProcessVirtualMemory() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: processSubsystem,
		Name:      memory,
		Help:      "Virtual memory size in bytes",
		Type:      gaugeMetric,
	}
}

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#include <memory>
#include <utility>
#include <vector>

#include "absl/strings/str_cat.h"
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/c_api_internal.h"

			}
		}
	}
	close(writer.doneCh)

	recordStagingTicker.Stop()
	keepAliveTicker.Stop()
	if progressTicker != nil {
		progressTicker.Stop()
	}

	// Whatever drain the payloadCh to prevent from memory leaking.
	for len(writer.payloadCh) > 0 {
		payload := <-writer.payloadCh
		bufPool.Put(payload)
	}
}

// Sends a single whole record.
func (writer *messageWriter) SendRecord(payload *bytes.Buffer) error {

    assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    byte[][] arrays = new byte[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    byte[] sharedArray = new byte[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Bytes.concat(arrays);
      fail();
    } catch (IllegalArgumentException expected) {
    }

runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics] ## Add new policies as explained here h...

runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics] ## Add new policies as explained here h...

runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics] ## Add new policies as explained here h...

runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics] ## Add new policies as explained here h...

   * list (counter-intuitive, but mathematically consistent).
   *
   * <p><i>Performance notes:</i> while the cartesian product of lists of size {@code m, n, p} is a
   * list of size {@code m x n x p}, its actual memory consumption is much smaller. When the
   * cartesian product is constructed, the input lists are merely copied. Only as the resulting list
   * is iterated are the individual lists created, and these are not retained after iteration.