- **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**.

		"Webhook queue length",
		allWebhookLabels...)
	webhookTotalMessagesMD = NewCounterMD(webhookTotalMessages,
		"Total number of messages sent to this target",
		allWebhookLabels...)
)

// loadLoggerWebhookMetrics - `MetricsLoaderFn` for logger webhook
// such as failed messages and total messages.
func loadLoggerWebhookMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {

     */
    public long getTotalAllocated() {
        return totalAllocated.get();
    }

    /**
     * Get total number of regions released
     *
     * @return total released regions
     */
    public long getTotalReleased() {
        return totalReleased.get();
    }

    /**
     * Get number of currently active regions
     *

		percUtil:          "Percentage of time the disk was busy",
		usedBytes:         "Used bytes on a drive",
		totalBytes:        "Total bytes on a drive",
		usedInodes:        "Total inodes used on a drive",
		totalInodes:       "Total inodes on a drive",
		cpuUser:           "CPU user time",
		cpuSystem:         "CPU system time",
		cpuIdle:           "CPU idle time",

        long total = totalRequests.get();
        if (total == 0) {
            return 100.0;
        }
        return (totalSuccesses.get() * 100.0) / total;
    }

    /**
     * Calculate availability
     *
     * @return availability as percentage (0-100)
     */
    private double calculateAvailability() {
        long total = totalRequests.get();
        if (total == 0) {

    InputStream in = joined.openStream();
    assertFalse(in.markSupported());
    assertEquals(10, in.available());
    int total = 0;
    while (in.read() != -1) {
      total++;
    }
    assertEquals(0, in.available());
    assertEquals(20, total);
  }

  @SuppressWarnings("CheckReturnValue") // these calls to skip always return 0
  public void testSkip() throws Exception {

	replicationAverageDataTransferRateMD = NewGaugeMD(replicationAverageDataTransferRate,
		"Average replication data transfer rate in bytes/sec")
	replicationCurrentActiveWorkersMD = NewGaugeMD(replicationCurrentActiveWorkers,
		"Total number of active replication workers")
	replicationCurrentDataTransferRateMD = NewGaugeMD(replicationCurrentDataTransferRate,
		"Current replication data transfer rate in bytes/sec")

-50px);\n}\n\n@media (prefers-reduced-motion: reduce) {\n  .modal.fade .modal-dialog {\n    transition: none;\n  }\n}\n\n.modal.show .modal-dialog {\n  transform: none;\n}\n\n.modal.modal-static .modal-dialog {\n  transform: scale(1.02);\n}\n\n.modal-dialog-scrollable {\n  display: flex;\n  max-height: calc(100% - 1rem);\n}\n\n.modal-dialog-scrollable .modal-content {\n  max-height: calc(100vh - 1rem);\n  overflow: hidden;\n}\n\n.modal-dialog-scrollable .modal-header,\n.modal-dialog-scrollable .modal-footer...

        + "'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();

To install the current release, which includes support for
[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
$ pip install tensorflow
```

Other devices (DirectX and MacOS-metal) are supported using
[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).

A smaller CPU-only package is also available:

```
$ pip install tensorflow-cpu
```