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

		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

     * 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>

setBasedir(java.io.File); public java.io.File getBasedir(); public void setCaseSensitive(boolean); public void setFollowSymlinks(boolean); public void setIncludes(String[]); public void setExcludes(String[]); public boolean isEverythingIncluded(); public void scan() throws IllegalStateExceptio; protected void slowScan(); protected void scandir(java.io.File, String, boolean); protected boolean isIncluded(String); protected boolean couldHoldIncluded(String); protected boolean isExcluded(String); protected boolean...

        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

pkg database/sql, method (*DB) QueryRow(string, ...interface{}) *Row
pkg database/sql, method (*NullBool) Scan(interface{}) error
pkg database/sql, method (*NullFloat64) Scan(interface{}) error
pkg database/sql, method (*NullInt64) Scan(interface{}) error
pkg database/sql, method (*NullString) Scan(interface{}) error
pkg database/sql, method (*Row) Scan(...interface{}) error
pkg database/sql, method (*Rows) Close() error

pkg crypto/x509, const PureEd25519 SignatureAlgorithm
pkg database/sql, method (*Conn) Raw(func(interface{}) error) error
pkg database/sql, method (*NullInt32) Scan(interface{}) error
pkg database/sql, method (NullInt32) Value() (driver.Value, error)
pkg database/sql, method (*NullTime) Scan(interface{}) error
pkg database/sql, method (NullTime) Value() (driver.Value, error)
pkg database/sql, type NullInt32 struct

uint(m.BitLen()) logR := _W * n // We start by computing R = 2^(_W * n) mod m. We can get pretty close, to // 2^⌊log₂m⌋, by setting the highest bit we can without having to reduce. rr.limbs[n-1] = 1 << ((mLen - 1) % _W) // Then we double until we reach 2^(_W * n). for i := mLen - 1; i < logR; i++ { rr.Add(rr, m) } // Next we need to get from R to 2^(_W * n) R mod m (aka from one to R in // the Montgomery domain, meaning we can use Montgomery multiplication now). // We could do that by doubling _W * n times,...

uint(m.BitLen()) logR := _W * n // We start by computing R = 2^(_W * n) mod m. We can get pretty close, to // 2^⌊log₂m⌋, by setting the highest bit we can without having to reduce. rr.limbs[n-1] = 1 << ((mLen - 1) % _W) // Then we double until we reach 2^(_W * n). for i := mLen - 1; i < logR; i++ { rr.Add(rr, m) } // Next we need to get from R to 2^(_W * n) R mod m (aka from one to R in // the Montgomery domain, meaning we can use Montgomery multiplication now). // We could do that by doubling _W * n times,...