}
	if len(formatV3.Erasure.Sets) != 1 {
		t.Fatalf("expected single set after migrating from v1 to v3, but found %d", len(formatV3.Erasure.Sets))
	}
	if !reflect.DeepEqual(formatV3.Erasure.Sets[0], m.Erasure.JBOD) {
		t.Fatalf("expected drive uuid: %v, got: %v", m.Erasure.JBOD, formatV3.Erasure.Sets[0])
	}

	m = &formatErasureV1{}
	m.Format = "unknown"

- *If total drives has many common divisors the algorithm chooses the minimum amounts of erasure sets possible for a erasure set size of any N*.  In the example with 1024 drives - 4, 8, 16 are GCD factors. With 16 drives we get a total of 64 possible sets, with 8 drives we get a total of 128 possible sets, with 4 drives we get a total of 256 possible sets. So algorithm automatically chooses 64 sets, which is *16* 64 = 1024* drives in total.

            String path = entry.getKey();
            Map<String, StringStats> stats = entry.getValue();

            long uniqueStrings = stats.size();
            long totalOccurrences = stats.values().stream()
                    .mapToLong(StringStats::getOccurrences)
                    .sum();
            long totalMemory = stats.entrySet().stream()

	}

	for i := 0; i < (nfi.Erasure.DataBlocks + nfi.Erasure.ParityBlocks); i++ {
		stats, _ := erasureDisks[i].StatInfoFile(t.Context(), bucket, pathJoin(object, xlStorageFormatFile), false)
		if len(stats) != 0 {
			t.Errorf("Expected xl.meta file to be not present, but succeeded")
		}
	}
}

func TestHealObjectCorruptedXLMeta(t *testing.T) {

    }

    /**
     * Sets the message ID.
     *
     * @param id the message ID
     */
    public void setId(final String id) {
        this.id = id;
    }

    /**
     * Gets the message role.
     *
     * @return the message role
     */
    public String getRole() {
        return role;
    }

    /**
     * Sets the message role.
     *

				st.CurrentBandwidthInBytesPerSecond = bw.CurrentBandwidthInBytesPerSecond
				stats.ReplicationStats.Stats[arn] = st
			}
		}
	}
	stats.Uptime = UTCNow().Unix() - globalBootTime.Unix()

	if err := enc.Encode(stats); err != nil {
		writeErrorResponseJSON(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}
}

	}

	ts := make(map[string]madmin.TierStats)
	dui.TierStats.populateStats(ts)

	infos := make([]madmin.TierInfo, 0, len(ts))
	for tier, stats := range ts {
		infos = append(infos, madmin.TierInfo{
			Name:  tier,
			Type:  globalTierConfigMgr.TierType(tier),
			Stats: stats,
		})
	}

	sort.Slice(infos, func(i, j int) bool {
		if infos[i].Type == "internal" {
			return true
		}

    }

    /**
     * Gets the response content.
     *
     * @return the content
     */
    public String getContent() {
        return content;
    }

    /**
     * Sets the response content.
     *
     * @param content the content
     */
    public void setContent(final String content) {
        this.content = content;
    }

    /**
     * Gets the finish reason.
     *

        // Default constructor
    }

    /**
     * Sets the list of search result documents.
     *
     * @param documentItems The list of search result documents
     */
    public void setDocumentItems(final List<Map<String, Object>> documentItems) {
        this.documentItems = documentItems;
    }

    /**
     * Sets the facet response containing aggregated search facets.
     *

	for _, t := range tgts {
		labels := []string{nameL, t.String(), endpointL, t.Endpoint()}
		m.Set(webhookFailedMessages, float64(t.Stats().FailedMessages), labels...)
		m.Set(webhookQueueLength, float64(t.Stats().QueueLength), labels...)
		m.Set(webhookTotalMessages, float64(t.Stats().TotalMessages), labels...)
	}

	return nil