.withTearDown(parentBuilder.getTearDown())
              .createTestSuite());
    }

    return derived;
  }

  private static Set<Feature<?>> computeInverseFeatures(Set<Feature<?>> mapFeatures) {
    Set<Feature<?>> inverseFeatures = new HashSet<>(mapFeatures);

    boolean nullKeys = inverseFeatures.remove(MapFeature.ALLOWS_NULL_KEYS);

	benchmarkPutObject(b, "Erasure", 10)
}

// BenchmarkPutObject10KbFS - Benchmark FS.PutObject() for object size of 10KB.
func BenchmarkPutObject10KbFS(b *testing.B) {
	benchmarkPutObject(b, "FS", 10*humanize.KiByte)
}

// BenchmarkPutObject10KbErasure - Benchmark Erasure.PutObject() for object size of 10KB.
func BenchmarkPutObject10KbErasure(b *testing.B) {
	benchmarkPutObject(b, "Erasure", 10*humanize.KiByte)
}

mc: Health data saved to dc-11-health_20200321053323.json.gz
```

The gzipped output contains debugging information for your system

## Decoding Metadata

Metadata is stored in `xl.meta` files for erasure coded objects. Each disk in the set containing the object has this file. The file format is a binary format and therefore requires tools to view values.

### Installing xl-meta

          "pattern": "/question/i"
        }
      ]
    },
    "feature": {
      "requires": 1,
      "conditions": [
        {
          "type": "titleMatches",
          "pattern": "/feature/i"
        },
        {
          "type": "descriptionMatches",
          "pattern": "/Describe the feature/i"
        }
      ]
    },
    "without_playground": {
      "requires": 6,

 *
 * @author George van den Driessche
 */
@GwtCompatible
public final class TesterRequirements {
  private final Set<Feature<?>> presentFeatures;
  private final Set<Feature<?>> absentFeatures;

  public TesterRequirements(Set<Feature<?>> presentFeatures, Set<Feature<?>> absentFeatures) {
    this.presentFeatures = copyToSet(presentFeatures);
    this.absentFeatures = copyToSet(absentFeatures);
  }

import static com.google.common.base.StandardSystemProperty.OS_NAME;
import static com.google.common.io.RecursiveDeleteOption.ALLOW_INSECURE;
import static com.google.common.jimfs.Feature.SECURE_DIRECTORY_STREAM;
import static com.google.common.jimfs.Feature.SYMBOLIC_LINKS;
import static com.google.common.truth.Truth.assertThat;
import static java.nio.charset.StandardCharsets.UTF_8;
import static java.nio.file.LinkOption.NOFOLLOW_LINKS;

name: Enhancement Tracking Issue
description: Provide supporting details for a feature in development
labels: kind/feature
body:
  - type: textarea
    id: feature
    attributes:
      label: What would you like to be added?
      description: |
        Feature requests are unlikely to make progress as issues. Please consider engaging with SIGs on slack and mailing lists, instead.

  }

  private static Set<Feature<?>> computeReserializedMapFeatures(Set<Feature<?>> mapFeatures) {
    Set<Feature<?>> derivedFeatures = copyToSet(mapFeatures);
    derivedFeatures.remove(CollectionFeature.SERIALIZABLE);
    derivedFeatures.remove(CollectionFeature.SERIALIZABLE_INCLUDING_VIEWS);
    return derivedFeatures;
  }

  private static Set<Feature<?>> computeEntrySetFeatures(Set<Feature<?>> mapFeatures) {

evicts pods from nodes in preparation for disruptive operations like kernel
upgrades or maintenance.
     * Custom Metrics for Autoscaling (HorizontalPodAutoscaler API in the Autoscaling
API group): The Horizontal Pod Autoscaling feature now supports custom metrics
(Alpha), allowing you to specify application-level metrics and thresholds to
trigger scaling up and down the number of pods in your application.

 *   <li>least-recently-used eviction when a maximum size is exceeded (note that the cache is
 *       divided into segments, each of which does LRU internally)
 *   <li>time-based expiration of entries, measured since last access or last write
 *   <li>keys automatically wrapped in {@linkplain WeakReference weak} references
 *   <li>values automatically wrapped in {@linkplain WeakReference weak} or {@linkplain