errPartCorrupt    = errors.New("part corrupt")
	errPartMissing    = errors.New("part missing")
)

// Only heal on disks where we are sure that healing is needed. We can expand
// this list as and when we figure out more errors can be added to this list safely.
func shouldHealObjectOnDisk(erErr error, partsErrs []int, meta FileInfo, latestMeta FileInfo) (bool, bool, error) {

    receiving stream to process it.

    This change may increase OkHttp's memory use for applications that make many concurrent HTTP
    calls and that can receive data faster than they can process it. Previously, OkHttp limited
    HTTP/2 to 16 MiB of unacknowledged data per connection. With this fix there is a limit of 16 MiB
    of unacknowledged data per stream and no per-connection limit.

		return
	}
	// General address (with a few exceptions) looks like
	//	$sym±offset(SB)(reg)(index*scale)
	// Exceptions are:
	//
	//	R1
	//	offset
	//	$offset
	// Every piece is optional, so we scan left to right and what
	// we discover tells us where we are.

	// Prefix: $.
	var prefix rune
	switch tok := p.peek(); tok {
	case '$', '*':
		prefix = rune(tok)
		p.next()
	}

   * The following methods are safe to call as long as both of the following hold:
   *
   * - allocArrays() has been called. Callers can confirm this by checking needsAllocArrays().
   *
   * - The map has not switched to delegating to a java.util implementation to mitigate hash
   *   flooding. Callers can confirm this by null-checking delegateOrNull().
   *

# Tag to use after highlighted text.
query.highlight.tag.post=</strong>
# Boundary characters for query highlighting.
query.highlight.boundary.chars=u0009u000Au0013u0020
# Maximum scan for query highlight boundaries.
query.highlight.boundary.max.scan=20
# Scanner type for query highlight boundaries.
query.highlight.boundary.scanner=chars
# Encoder type for query highlighting.
query.highlight.encoder=default

		Help:      "Time elapsed (in nano seconds) since last scan activity",
		Type:      gaugeMetric,
	}
}

func getBucketUsageLastScanActivityMD() MetricDescription {
	return MetricDescription{
		Namespace: bucketMetricNamespace,
		Subsystem: usageSubsystem,
		Name:      lastActivityTime,
		Help:      "Time elapsed (in nano seconds) since last scan activity",
		Type:      gaugeMetric,
	}
}

   *
   * <p>As long as there are applications that assume that all IP addresses are IPv4 addresses and
   * can therefore be converted safely to integers (for whatever purpose) this function can be used
   * to handle IPv6 addresses as well until the application is suitably fixed.
   *
   * <p>NOTE: an IPv6 address coerced to an IPv4 address can only be used for such purposes as

          "interval": "1m",
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Time Elapsed Since Last Scan (nanos)",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

     * The value is, e.g. 20 <br>
     * comment: Maximum scan for query highlight boundaries.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getQueryHighlightBoundaryMaxScan();

    /**
     * Get the value for the key 'query.highlight.boundary.max.scan' as {@link Integer}. <br>

        optimal in a non-interactive environment, where you don't have access to
        stdout, but can only view the logs. You can use
        `tf.keras.utils.disable_interactive_logging()` to write the logs to ABSL
        logging. You can also use `tf.keras.utils.enable_interactive_logging()`
        to change it back to stdout, or