"5m",
      "15m",
      "1h",
      "6h",
      "12h",
      "24h",
      "2d",
      "7d",
      "30d"
    ]
  },
  "timezone": "",
  "title": "MinIO Node Replication Dashboard",
  "uid": "gmTJnqnnk3",
  "version": 1,
  "weekStart": ""

        return;
      }

      /*
       * Reclassify nodes in each list to new Map. Because we are using power-of-two expansion, the
       * elements from each bin must either stay at same index, or move with a power of two offset.
       * We eliminate unnecessary node creation by catching cases where old nodes can be reused

    return o.isoformat()


# Adapted from Pydantic v1
# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """
    Encodes a Decimal as int if there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where an integer (but not int typed) is used. Encoding this as a float

      .isEqualTo(28800000L)
    // Ignore trailing junk
    assertThat("Thursday, 01-Jan-1970 00:00:00 PST JUNK".toHttpDateOrNull()!!.time)
      .isEqualTo(28800000L)

    // ANSI C's asctime() format
    // This format ignores the timezone entirely even if it is present and uses GMT.
    assertThat("Fri Jun 6 12:30:30 2014 PST".toHttpDateOrNull()!!.time).isEqualTo(1402057830000L)
    // Ignore trailing junk.

import okhttp3.Headers
import okhttp3.Request
import okhttp3.Response
import okhttp3.Route
import okhttp3.internal.connection.RealCall
import okio.Sink
import okio.Socket
import okio.Source

/** Encodes HTTP requests and decodes HTTP responses. */
interface ExchangeCodec {
  /** The connection or CONNECT tunnel that owns this codec. */
  val carrier: Carrier

			if err != nil {
				// Error conditions should be checked above.
				panic(err)
			}
			enc = e
		})
		return enc
	}
	return e, err
}

// EncodeData encodes the given data and returns the erasure-coded data.
// It returns an error if the erasure coding failed.
func (e *Erasure) EncodeData(ctx context.Context, data []byte) ([][]byte, error) {
	if len(data) == 0 {

        comparable = new ComparableVersion(version);

        int index = version.indexOf('-');

        String part1;
        String part2 = null;

        if (index < 0) {
            part1 = version;
        } else {
            part1 = version.substring(0, index);
            part2 = version.substring(index + 1);
        }

        if (part2 != null) {

  TF_DeleteBuffer(graph_def);

  // Can add nodes to the imported graph without trouble.
  Add(feed, scalar, graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  TF_DeleteGraph(graph);
  TF_DeleteStatus(s);
}

TEST(CAPI, ImportGraphDef_WithReturnOutputs) {
  TF_Status* s = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

  // Create a graph with two nodes: x and 3
  Placeholder(graph, s);

// used for multi-destination targets
func (d Destination) TargetArn() bool {
	return strings.HasPrefix(d.ARN, DestinationARNMinIOPrefix)
}

// MarshalXML - encodes to XML data.
func (d Destination) MarshalXML(e *xml.Encoder, start xml.StartElement) error {
	if err := e.EncodeToken(start); err != nil {
		return err
	}

```

##### Node (optional)

Optionally you can also collect per node metrics. This needs to be done on a per server instance.
The scrape configurations should use all the servers under `targets` so that graphing systems like
grafana can visualize them for all the nodes

```yaml
scrape_configs:
- job_name: minio-job
  metrics_path: /minio/v2/metrics/node
  scheme: http
  static_configs: