healingLogIf(ctx, tracker.update(ctx))
	}()

	for _, bucket := range healBuckets {
		if err := bgSeq.healBucket(objAPI, bucket, true); err != nil {
			// Log bucket healing error if any, we shall retry again.
			healingLogIf(ctx, err)
		}
	}

	info, err := tracker.disk.DiskInfo(ctx, DiskInfoOptions{})
	if err != nil {
		return fmt.Errorf("unable to get disk information before healing it: %w", err)
	}

	// These settings are needed to ensure that kafka client doesn't hang on brokers
	// refer https://github.com/IBM/sarama/issues/765#issuecomment-254333355
	sconfig.Producer.Retry.Max = 2
	sconfig.Producer.Retry.Backoff = (10 * time.Second)
	sconfig.Producer.Return.Successes = true
	sconfig.Producer.Return.Errors = true
	sconfig.Producer.RequiredAcks = 1
	sconfig.Producer.Timeout = (10 * time.Second)

# map /usr/include/python3.10 to /usr/local/include/python3.10
if [[ ! -f "/usr/local/include/$VERSION" ]]; then
  ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

# Install pip

wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip

 *    we must send a `CONNECT` request, and handle authorization challenges from the proxy.
 *  * Optional [TLS handshake][connectTls].
 *
 * Each step may fail. If a retry is possible, a new instance is created with the next plan, which
 * will be configured differently.
 */
class ConnectPlan(
  private val taskRunner: TaskRunner,
  private val connectionPool: RealConnectionPool,

                    this.dcList[ i ] = null;
                }
            }

            /*
             * No DCs found, for retieval of list by expiring it and retry.
             */
            this.dcListExpiration = 0;
        }
        while ( retry-- > 0 );

        this.dcListExpiration = now + 1000 * 60 * 15; /* 15 min */

        // 15
        "event\r\n".encodeUtf8(),
        // 16
        "event\r".encodeUtf8(),
        // 17
        "event\n".encodeUtf8(),
        // 18
        "retry: ".encodeUtf8(),
        // 19
        "retry:".encodeUtf8(),
      )

    private val CRLF = "\r\n".encodeUtf8()

    @Throws(IOException::class)
    private fun BufferedSource.readData(data: Buffer) {

    kotlin("jvm")
    id("gradlebuild.module-jar")
    id("gradlebuild.reproducible-archives")
    id("gradlebuild.repositories")
    id("gradlebuild.code-quality")
    id("gradlebuild.detekt")
    id("gradlebuild.test-retry")
    id("gradlebuild.ci-reporting")
    id("gradlebuild.private-javadoc")
}

description = "A plugin that sets up a Kotlin DSL code that is shared between build-logic and runtime"

java {

	  token: "Bearer xxxxx" # optional authentication token for the notification endpoint

	retry:
	  attempts: 10 # number of retries for the job before giving up
	  delay: "500ms" # least amount of delay between each retry
```

You can create and run multiple 'replication' jobs at a time there are no predefined limits set.

## Batch Jobs Terminology

### Job

  /**
   * Handles cases of updates involving initialization, resizing, creating new Cells, and/or
   * contention. See above for explanation. This method suffers the usual non-modularity problems of
   * optimistic retry code, relying on rechecked sets of reads.
   *
   * @param x the value
   * @param hc the hash code holder
   * @param wasUncontended false if CAS failed before call
   */

     */
    @JvmField val minimumConcurrentCalls: Int = 0,
    /** How long to wait to retry pre-emptive connection attempts that fail. */
    @JvmField val backoffDelayMillis: Long = 60 * 1000,
    /** How much jitter to introduce in connection retry backoff delays */
    @JvmField val backoffJitterMillis: Int = 100,
  )