Arenas allocate large chunks of memory for Go values, so they're likely to
be inefficient for allocating only small amounts of small Go values. They're
best used in bulk, on the order of MiB of memory allocated on each use.

Note that by allowing for this limited form of manual memory allocation
that use-after-free bugs are possible with regular Go values. This package

		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{
				clause.Insert{},
				clause.Values{
					Columns: []clause.Column{{Name: "name"}, {Name: "age"}},
					Values:  [][]interface{}{{"jinzhu", 18}, {"josh", 1}},
				},
			},
			"INSERT INTO `users` (`name`,`age`) VALUES (?,?),(?,?)",
			[]interface{}{"jinzhu", 18, "josh", 1},
		},
	}

	for idx, result := range results {

	prefix = values.Get("prefix")
	marker = values.Get("marker")
	delimiter = values.Get("delimiter")
	encodingType = values.Get("encoding-type")
	return
}

func getListBucketObjectVersionsArgs(values url.Values) (prefix, marker, delimiter string, maxkeys int, encodingType, versionIDMarker string, errCode APIErrorCode) {
	errCode = ErrNone

	if values.Get("max-keys") != "" {
		var err error

                                        geoMap.put(geoField, list);
                                    }
                                    final String[] values = pt.split(",");
                                    if (values.length != 2) {
                                        throw new InvalidQueryException(

        assertWithMessage("mean by addAll(Stats) of " + values).that(meanByAddAllStats).isNaN();
      } else if (values.hasAnyPositiveInfinity()) {
        assertWithMessage("mean of " + values).that(mean).isPositiveInfinity();
        assertWithMessage("mean by addAll(Stats) of " + values)
            .that(meanByAddAllStats)
            .isPositiveInfinity();
      } else if (values.hasAnyNegativeInfinity()) {

    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,

      @Override
      double mean(double[] values) {
        double sum = 0.0;
        for (double value : values) {
          sum += value;
        }
        return sum / values.length;
      }
    },
    KAHAN {
      @Override
      double mean(double[] values) {
        double sum = 0.0;
        double c = 0.0;
        for (double value : values) {
          double y = value - c;
          double t = sum + y;

        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,

        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,

         * The value is split by pipe character (|) and each part is trimmed.
         *
         * @param value the configuration value string to parse
         */
        public Config(final String value) {
            values = StreamUtil.split(value, Pattern.quote("|")).get(stream -> stream.map(String::trim).toArray(n -> new String[n]));
        }

        /**