// all remaining cases imply corrupt data/metadata
			driveState = madmin.DriveStateCorrupt
		}

		result.Before.Drives = append(result.Before.Drives, madmin.HealDriveInfo{
			UUID:     "",
			Endpoint: storageEndpoints[i].String(),
			State:    driveState,
		})
		result.After.Drives = append(result.After.Drives, madmin.HealDriveInfo{
			UUID:     "",
			Endpoint: storageEndpoints[i].String(),
			State:    driveState,
		})

		case "Total":
			z.Total, err = dc.ReadInt()
			if err != nil {
				err = msgp.WrapError(err, "Total")
				return
			}
		case "Writes":
			z.Writes, err = dc.ReadInt()
			if err != nil {
				err = msgp.WrapError(err, "Writes")
				return
			}
		case "Reads":
			z.Reads, err = dc.ReadInt()
			if err != nil {
				err = msgp.WrapError(err, "Reads")
				return
			}

    ((DataOutputStream) out).writeBytes(s);
  }

  /**
   * Writes a char as specified by {@link DataOutputStream#writeChar(int)}, except using
   * little-endian byte order.
   *
   * @throws IOException if an I/O error occurs
   */
  @Override
  public void writeChar(int v) throws IOException {
    writeShort(v);
  }

  /**
   * Writes a {@code String} as specified by {@link DataOutputStream#writeChars(String)}, except

* Extendable, flexible plugin API: Database Resolver (Multiple Databases, Read/Write Splitting) / Prometheus…
* Every feature comes with tests
* Developer Friendly

## Getting Started

* GORM Guides [https://gorm.io](https://gorm.io)
* Gen Guides [https://gorm.io/gen/index.html](https://gorm.io/gen/index.html)

## Contributing

[You can help to deliver a better GORM, check out things you can do](https://gorm.io/contribute.html)

import "context"

const (
	healthDrivesOfflineCount = "drives_offline_count"
	healthDrivesOnlineCount  = "drives_online_count"
	healthDrivesCount        = "drives_count"
)

var (
	healthDrivesOfflineCountMD = NewGaugeMD(healthDrivesOfflineCount,
		"Count of offline drives in the cluster")
	healthDrivesOnlineCountMD = NewGaugeMD(healthDrivesOnlineCount,
		"Count of online drives in the cluster")

from typing import Dict


def process_items(prices: Dict[str, float]):
    for item_name, item_price in prices.items():
        print(item_name)

| Minimum number of drives per server when server count is 1      | 02            |
| Minimum number of drives per server when server count is 2 or 3 | 01            |
| Minimum number of drives per server when server count is 4      | 01            |
| Maximum number of drives per server                             | no-limit      |
| Read quorum                                                     | N/2           |

	erasureSetOverallHealth      = "overall_health"
	erasureSetReadQuorum         = "read_quorum"
	erasureSetWriteQuorum        = "write_quorum"
	erasureSetOnlineDrivesCount  = "online_drives_count"
	erasureSetHealingDrivesCount = "healing_drives_count"
	erasureSetHealth             = "health"
)

const (
	poolIDL = "pool_id"
	setIDL  = "set_id"
)

var (

Framing rules make it impractical to implement http/2 correctly on a single blocking thread. The flow-control features introduce feedback between reads and writes, requiring writes to acknowledge reads and reads to throttle writes.

In OkHttp we expose a blocking API over a framed protocol. This document explains the code and policy that makes that work.

### Threads

#### Application's calling thread

	// 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 {