}
	}

	sort.Strings(columns)
	values.Values = make([][]interface{}, len(mapValues))
	values.Columns = make([]clause.Column, len(columns))
	for idx, column := range columns {
		values.Columns[idx] = clause.Column{Name: column}

		for i, v := range result[column] {
			if len(values.Values[i]) == 0 {
				values.Values[i] = make([]interface{}, len(columns))
			}

			values.Values[i][idx] = v
		}
	}
	return
}

	}
	return r.Filter.And.Prefix
}

// Tags - a rule can either have tag under <filter></filter> or under
// <filter><and></and></filter>. This method returns all the tags from the
// rule in the format tag1=value1&tag2=value2
func (r Rule) Tags() string {
	if !r.Filter.Tag.IsEmpty() {
		return r.Filter.Tag.String()
	}
	if len(r.Filter.And.Tags) != 0 {
		var buf bytes.Buffer
		for _, t := range r.Filter.And.Tags {

		panic("not all labels were given values")
	}

	v, ok := m.values[name]
	if !ok {
		v = make([]metricValue, 0, 1)
	}
	// If valid non zero value set the metrics
	if value > 0 {
		m.values[name] = append(v, metricValue{
			Labels: labelMap,
			Value:  value,
		})
	}
}

// SetHistogram - sets values for the given MetricName using the provided
// histogram.
//

				values = append(values, fmt.Sprintf("O=%s", name.Value))
			case 11:
				values = append(values, fmt.Sprintf("OU=%s", name.Value))
			default:
				values = append(values, fmt.Sprintf("UnknownOID=%s", name.Type.String()))
			}
		} else if oid.Equal(oidEmailAddress) {
			values = append(values, fmt.Sprintf("emailAddress=%s", name.Value))
		} else {
			values = append(values, fmt.Sprintf("UnknownOID=%s", name.Type.String()))
		}
	}

        final String value = decodeId(id);
        final String[] values = split(value, "/").get(stream -> stream.filter(StringUtil::isNotEmpty).toArray(n -> new String[n]));
        if (values.length == 0) {
            // invalid?
            return new PathInfo(StringUtil.EMPTY, StringUtil.EMPTY);
        }
        if (values.length == 1) {

func (b *Boolean) Capture(values []string) error {
	*b = Boolean(strings.EqualFold(values[0], "true"))
	return nil
}

// LiteralString is a type for parsed SQL string literals
type LiteralString string

// Capture interface used by participle
func (ls *LiteralString) Capture(values []string) error {
	// Remove enclosing single quote
	n := len(values[0])
	r := values[0][1 : n-1]
	// Translate doubled quotes

    }
  }

  /** getAndUpdate adds given value to current, and returns previous value */
  public void testGetAndUpdateWithSum() {
    AtomicDoubleArray aa = new AtomicDoubleArray(SIZE);
    for (int i : new int[] {0, SIZE - 1}) {
      for (double x : VALUES) {
        for (double y : VALUES) {
          aa.set(i, x);
          double z = aa.getAndUpdate(i, value -> value + y);
          assertBitEquals(x, z);

                         bool value, ForwardOperation* forward_op_) {
  forward_op_->attrs.Set(attr_name, value);
  return op_->SetAttrBool(attr_name, value);
}
absl::Status SetAttrType(AbstractOperation* op_, const char* attr_name,
                         DataType value, ForwardOperation* forward_op_) {
  forward_op_->attrs.Set(attr_name, value);
  return op_->SetAttrType(attr_name, value);
}

    // For datasets of many double values created from an array, we test many combinations of finite
    // and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      double mean = Stats.of(values.asArray()).mean();
      if (values.hasAnyNaN()) {
        assertWithMessage("mean of " + values).that(mean).isNaN();
      } else if (values.hasAnyPositiveInfinity() && values.hasAnyNegativeInfinity()) {

				} else {
					tx.Clauses(clause.Eq{Column: ref.ForeignKey.DBName, Value: ref.PrimaryValue})
				}
			}

			_, pvs := schema.GetIdentityFieldValuesMap(association.DB.Statement.Context, reflectValue, primaryFields)
			if column, values := schema.ToQueryValues(rel.JoinTable.Table, joinPrimaryKeys, pvs); len(values) > 0 {
				tx.Where(clause.IN{Column: column, Values: values})
			} else {
				return ErrPrimaryKeyRequired
			}