return
	}

	ctx, cancel := context.WithTimeout(ctx, globalAPIConfig.getClusterDeadline())
	defer cancel()

	opts := HealthOptions{
		Maintenance:    r.Form.Get("maintenance") == "true",
		DeploymentType: r.Form.Get("deployment-type"),
	}
	result := objLayer.Health(ctx, opts)
	w.Header().Set(xhttp.MinIOWriteQuorum, strconv.Itoa(result.WriteQuorum))

			result.ESHealth = append(result.ESHealth, struct {
				Maintenance                  bool
				PoolID, SetID                int
				Healthy                      bool
				HealthyRead                  bool
				HealthyDrives, HealingDrives int
				ReadQuorum, WriteQuorum      int
			}{
				Maintenance:   opts.Maintenance,
				SetID:         setIdx,
				PoolID:        poolIdx,

*   Include unit tests when you contribute new features, as they help to a)
    prove that your code works correctly, and b) guard against future breaking
    changes to lower the maintenance cost.
*   Bug fixes also generally require unit tests, because the presence of bugs
    usually indicates insufficient test coverage.
*   Keep API compatibility in mind when you change code in core TensorFlow,

      this.counts = new int[ImmutableCollection.Builder.DEFAULT_INITIAL_CAPACITY];
    }

    /** Check if we need to do deduplication and coalescing, and if so, do it. */
    private void maintenance() {
      if (length == elements.length) {
        dedupAndCoalesce(true);
      } else if (forceCopyElements) {
        this.elements = Arrays.copyOf(elements, elements.length);

It is common to share a single Gradle User Home between multiple versions of Gradle.

As stated above, caches in Gradle User Home are version-specific.
Different versions of Gradle will perform maintenance on only the version-specific caches associated with each version.

On the other hand, some caches are shared between versions (e.g., the dependency artifact cache or the artifact transform cache).

For example you may want to pass in a specific property value to control runtime behavior just for this one invocation of the build.
Properties in a build script can easily become a maintenance headache and convolute the build script logic.
The `gradle.properties` helps with keeping properties separate from the build script and should be explored as viable option.

//   deprecated and/or we stop supporting it in production, we'll have to focus on a massive test refactoring
//   or just continue importing this config just for test use.
//
// Thus, to reduce maintenance costs without sacrificing test coverage, we introduce this mini-framework
// and set of tests here which replace the normal component configs with a single one (ClusterConfiguration)

      }
    }

    if (connections.isEmpty()) cleanupQueue.cancelAll()

    for (policy in addressStates.values) {
      policy.scheduleOpener()
    }
  }

  /**
   * Performs maintenance on this pool, evicting the connection that has been idle the longest if
   * either it has exceeded the keep alive limit or the idle connections limit.
   *

		endpoint := ep
		klog.V(4).Infof("Start monitoring storage db size metric for endpoint %s with polling interval %v", endpoint, interval)
		go wait.JitterUntilWithContext(ctx, func(context.Context) {
			epStatus, err := client.Maintenance.Status(ctx, endpoint)
			if err != nil {
				klog.V(4).Infof("Failed to get storage db size for ep %s: %v", endpoint, err)
				metrics.UpdateEtcdDbSize(endpoint, -1)
			} else {

These measurements can later serve as baselines for future improvements, and to watch for signs of regressions.

NOTE: Proper configuration and maintenance of a build can improve caching performance in a big way.

== Fully cached builds