* SortedSet} values.
   */
  @Override
  public Map<K, Collection<V>> asMap() {
    return super.asMap();
  }

  /**
   * {@inheritDoc}
   *
   * <p>Consequently, the values do not follow their natural ordering or the ordering of the value
   * comparator.
   */
  @Override
  public Collection<V> values() {
    return super.values();
  }

			return
		}
	}

	values := r.Form

	var prefix string
	if len(values[peerRESTListenPrefix]) > 1 {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrFilterNamePrefix), r.URL)
		return
	}

	if len(values[peerRESTListenPrefix]) == 1 {
		if err := event.ValidateFilterRuleValue(values[peerRESTListenPrefix][0]); err != nil {

* Retrieve the stored data.
* Put that data in a Pydantic model.
* Generate a `dict` without default values from the input model (using `exclude_unset`).
    * This way you can update only the values actually set by the user, instead of overriding values already stored with default values in your model.
* Create a copy of the stored model, updating its attributes with the received partial updates (using the `update` parameter).

				if vs, ok := defaultValueFieldsHavingValue[field]; ok {
					values.Columns = append(values.Columns, clause.Column{Name: field.DBName})
					for idx := range values.Values {
						if vs[idx] == nil {
							values.Values[idx] = append(values.Values[idx], stmt.DefaultValueOf(field))
						} else {
							values.Values[idx] = append(values.Values[idx], vs[idx])
						}
					}
				}
			}
		case reflect.Struct:

    }
  }

  /** get returns the last value set at index */
  public void testGetSet() {
    AtomicDoubleArray aa = new AtomicDoubleArray(VALUES.length);
    for (int i = 0; i < VALUES.length; i++) {
      assertBitEquals(0.0, aa.get(i));
      aa.set(i, VALUES[i]);
      assertBitEquals(VALUES[i], aa.get(i));
      aa.set(i, -3.0);
      assertBitEquals(-3.0, aa.get(i));
    }

   * change the true min and max.
   */
  static class ManyValues {

    private final ImmutableList<Double> values;

    ManyValues(double[] values) {
      this.values = ImmutableList.copyOf(Doubles.asList(values));
    }

    ImmutableList<Double> asIterable() {
      return values;
    }

    double[] asArray() {
      return Doubles.toArray(values);
    }

    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();
      if (values.hasAnyNonFinite()) {

    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStats stats = createPairedStatsOf(values.asIterable(), OTHER_MANY_VALUES);
      double populationCovariance = stats.populationCovariance();
      if (values.hasAnyNonFinite()) {

			return err
		}
	}
	return nil
}

// DropTable drop table for values
func (m Migrator) DropTable(values ...interface{}) error {
	values = m.ReorderModels(values, false)
	for i := len(values) - 1; i >= 0; i-- {
		tx := m.DB.Session(&gorm.Session{})
		if err := m.RunWithValue(values[i], func(stmt *gorm.Statement) error {
			return tx.Exec("DROP TABLE IF EXISTS ?", m.CurrentTable(stmt)).Error
		}); err != nil {

func FromBool(b bool) *Value {
	return &Value{value: b}
}

// FromTimestamp creates a Value from a timestamp
func FromTimestamp(t time.Time) *Value {
	return &Value{value: t}
}

// FromNull creates a Value with Null value
func FromNull() *Value {
	return &Value{value: nil}
}

// FromMissing creates a Value with Missing value
func FromMissing() *Value {
	return &Value{value: Missing{}}
}