// prefers setCounts to be sorted for optimal behavior.
	if divisibleSize < setCounts[len(setCounts)-1] {
		return divisibleSize
	}

	// Figure out largest value of total_drives_in_erasure_set which results
	// in least number of total_drives/total_drives_erasure_set ratio.
	prevD := divisibleSize / setCounts[0]
	for _, cnt := range setCounts {
		if divisibleSize%cnt == 0 {
			d := divisibleSize / cnt
			if d <= prevD {

                            {"title": "Title", "type": "string"}
                        ),
                        "customer": {"title": "Customer", "type": "string"},
                        "total": {"title": "Total", "type": "number"},
                    },
                },
                "InvoiceEvent": {
                    "title": "InvoiceEvent",
                    "required": ["description", "paid"],

	}

	// Do we have enough data?
	if int64(getDataBlockLen(enBlocks, dataBlocks)) < length {
		return 0, reedsolomon.ErrShortData
	}

	// Counter to decrement total left to write.
	write := length

	// Counter to increment total written.
	var totalWritten int64

	// Write all data blocks to dst.
	for _, block := range enBlocks[:dataBlocks] {
		// Skip blocks until we have reached our offset.

    for (Construction<T> pathway : constructions) {
      smallCounter.zero();
      pathway.create(haveSameHashesSmall);
      long smallOps = smallCounter.total();

      largeCounter.zero();
      pathway.create(haveSameHashesLarge);
      long largeOps = largeCounter.total();

      double ratio = (double) largeOps / smallOps;
      assertWithMessage(

	resultLabel   = monitoring.CreateLabel("result")
	resultSuccess = "success"
	resultSkip    = "skip"
	resultFail    = "fail"

	podsRepaired = monitoring.NewSum(
		"istio_cni_repair_pods_repaired_total",
		"Total number of pods repaired by repair controller",
	)

          },
          "exemplar": true,
          "expr": "sum by (endpoint,server) (minio_cluster_replication_total_failed_bytes{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{endpoint}},{{server}}",
          "refId": "A"
        }
      ],
      "title": "Total Failed Data",
      "type": "timeseries"
    },
    {
      "datasource": {

                MavenProject currentProject = session.getCurrentProject();
                try {
                    BuilderCommon.attachToThread(project); // Not totally sure if this is needed for anything
                    session.setCurrentProject(project);
                    projectBuilds.add(new ProjectSegment(project, taskSegment, session));
                } finally {

        + "'lastSaved':1367702411696,"
        + "'dateStarted':1367702378785,"
        + "'players':["
        + "{'name':'" + player1 + "','history':[10,8,6,7,8],'color':-13388315,'total':39},"
        + "{'name':'" + player2 + "','history':[6,10,5,10,10],'color':-48060,'total':41}"
        + "]}";
  }

  public static void main(String[] args) throws IOException {
    PostExample example = new PostExample();

  // +optional
  optional int32 readyReplicas = 7;

  // Total number of available pods (ready for at least minReadySeconds) targeted by this deployment.
  // +optional
  optional int32 availableReplicas = 4;

  // Total number of unavailable pods targeted by this deployment. This is the total number of
  // pods that are still required for the deployment to have 100% available capacity. They may

- **MinIO creates erasure-coding sets of _2_ to _16_ drives per set.  The number of drives you provide in total must be a multiple of one of those numbers.**
- **MinIO chooses the largest EC set size which divides into the total number of drives or total number of nodes given - making sure to keep the uniform distribution i.e each node participates equal number of drives per set**.