}

    protected boolean isEmptyArray(final String[] values) {
        if (values == null || values.length == 0) {
            return true;
        }
        return stream(values).get(stream -> stream.allMatch(StringUtil::isBlank));
    }

    protected static String[] simplifyArray(final String[] values) {

                final String[] values = extractData.getValues(key);
                metaDataMap.put(key, values);

                // meta -> content
                if (fessConfig.isCrawlerMetadataContentIncluded(key)) {
                    final String joinedValue = StringUtils.join(values, ' ');
                    if (StringUtil.isNotBlank(joinedValue)) {

    public void setAvailable_PercentileRanks(double[] values) {
        setAvailable_PercentileRanks(values, null);
    }

    public void setAvailable_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setAvailable_PercentileRanks("available", values, opLambda);
    }

    public void setAvailable_PercentileRanks(String name, double[] values,

        setCreatedTime_PercentileRanks(values, null);
    }

    public void setCreatedTime_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setCreatedTime_PercentileRanks("createdTime", values, opLambda);
    }

    public void setCreatedTime_PercentileRanks(String name, double[] values,

public class StreamUtil {
    private StreamUtil() {
        // nothing
    }

    @SafeVarargs
    public static <T> StreamOf<T> stream(final T... values) {
        return new StreamOf<>(() -> values != null ? Arrays.stream(values) : Collections.<T> emptyList().stream());
    }

    public static StreamOf<String> split(final String value, final String regex) {

        }
        return list.toArray(new String[list.size()]);
    }

    public String getHeaderValue(final String name) {
        final String[] values = getHeaderValues(name);
        if (values.length == 0) {
            return null;
        }
        return values[0];
    }

    public void setHitCount_PercentileRanks(double[] values) {
        setHitCount_PercentileRanks(values, null);
    }

    public void setHitCount_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setHitCount_PercentileRanks("hitCount", values, opLambda);
    }

                    final String[] values = paramEntry.getValue();
                    if (values == null) {
                        continue;
                    }
                    final String key = paramEntry.getKey();
                    for (final String value : values) {
                        if (append) {
                            locationBuf.append('&');

                .map(s -> clientRuleCache.computeIfAbsent(s, t -> {
                    final String[] values = t.split(":", 2);
                    if (values.length != 2) {
                        return null;
                    }
                    return new Pair<>(values[0], Pattern.compile(values[1]));
                })).toList());
    }

		<pre>Fe?s</pre>
	</dd>
	<dt>Range</dt>
	<dd>
		Range Queries allow one to match documents whose field(s) values are
		between the lower and upper bound specified by the Range Query. Range
		Queries can be inclusive or exclusive of the upper and lower bounds.
		If you want to find documents whose content_length fields have values
		between 1000 and 10000, inclusive, you can enter:
		<pre>content_length:[1000 TO 10000]</pre>