final long docFreq = Long.parseLong(source.get(FieldNames.DOC_FREQ).toString());
        final long queryFreq = Long.parseLong(source.get(FieldNames.QUERY_FREQ).toString());
        final float userBoost = Float.parseFloat(source.get(FieldNames.USER_BOOST).toString());
        final List<String> tags = SuggestUtil.getAsList(source.get(FieldNames.TAGS));

		m.Set(erasureSetReadQuorum, float64(h.ReadQuorum), labels...)
		m.Set(erasureSetWriteQuorum, float64(h.WriteQuorum), labels...)
		m.Set(erasureSetOnlineDrivesCount, float64(h.HealthyDrives), labels...)
		m.Set(erasureSetHealingDrivesCount, float64(h.HealingDrives), labels...)
		m.Set(erasureSetHealth, b2f(h.Healthy), labels...)

		readHealthy := true
		readTolerance := float64(h.HealthyDrives - h.ReadQuorum)

# Zusätzliche Datentypen

Bisher haben Sie gängige Datentypen verwendet, wie zum Beispiel:

* `int`
* `float`
* `str`
* `bool`

Sie können aber auch komplexere Datentypen verwenden.

Und Sie haben immer noch dieselbe Funktionalität wie bisher gesehen:

* Großartige Editor-Unterstützung.
* Datenkonvertierung bei eingehenden Requests.
* Datenkonvertierung für Response-Daten.
* Datenvalidierung.

                return (T) value;
            }
            return (T) Double.valueOf(value.toString());
        }
        if (clazz.isAssignableFrom(Float.class)) {
            if (value instanceof Float) {
                return (T) value;
            }
            return (T) Float.valueOf(value.toString());
        }
        if (clazz.isAssignableFrom(Boolean.class)) {
            if (value instanceof Boolean) {

    @Override
    protected String getQueryClassName() {
        return TermRangeQuery.class.getSimpleName();
    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final TermRangeQuery termRangeQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("{}:{}", query, boost);
            }

  @CanIgnoreReturnValue
  public final Hasher putDouble(double d) {
    return putLong(Double.doubleToRawLongBits(d));
  }

  @Override
  @CanIgnoreReturnValue
  public final Hasher putFloat(float f) {
    return putInt(Float.floatToRawIntBits(f));
  }

  @Override
  @CanIgnoreReturnValue
  public Hasher putUnencodedChars(CharSequence charSequence) {
    for (int i = 0, len = charSequence.length(); i < len; i++) {

            final Pair<String, Float> pair = new Pair<>();
            final String[] values = s.split(":");
            if (values.length == 1) {
                pair.setFirst(values[0].trim());
                pair.setSecond(1.0f);
            } else if (values.length > 1) {
                pair.setFirst(values[0]);
                pair.setSecond(Float.parseFloat(values[1]));
            } else {

					m.Set(bucketReplProxiedHeadRequestsTotal, float64(s.ProxyStats.HeadTotal), labels...)
					m.Set(bucketReplProxiedPutTaggingRequestsFailures, float64(s.ProxyStats.PutTagFailedTotal), labels...)
					m.Set(bucketReplProxiedPutTaggingRequestsTotal, float64(s.ProxyStats.PutTagTotal), labels...)
					m.Set(bucketReplSentCount, float64(stat.ReplicatedCount), labels...)

	Labels map[string]string

	// value captured in current cycle
	Current float64

	// Used when system provides cumulative (since uptime) values
	// helps in calculating the current value by comparing the new
	// cumulative value with previous one
	Cumulative float64

	Max   float64
	Avg   float64
	Sum   float64
	Count uint64
}

func init() {

def get_items(item_a: str, item_b: int, item_c: float, item_d: bool, item_e: bytes):