001/* ----------------------------------------------------------------------------
002 * This file was automatically generated by SWIG (https://www.swig.org).
003 * Version 4.1.1
004 *
005 * Do not make changes to this file unless you know what you are doing - modify
006 * the SWIG interface file instead.
007 * ----------------------------------------------------------------------------- */
008
009package org.quantlib;
010
011public class IncrementalStatistics implements org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable {
012  private transient long swigCPtr;
013  protected transient boolean swigCMemOwn;
014
015  protected IncrementalStatistics(long cPtr, boolean cMemoryOwn) {
016    swigCMemOwn = cMemoryOwn;
017    swigCPtr = cPtr;
018  }
019
020  protected static long getCPtr(IncrementalStatistics obj) {
021    return (obj == null) ? 0 : obj.swigCPtr;
022  }
023
024  protected static long swigRelease(IncrementalStatistics obj) {
025    long ptr = 0;
026    if (obj != null) {
027      if (!obj.swigCMemOwn)
028        throw new RuntimeException("Cannot release ownership as memory is not owned");
029      ptr = obj.swigCPtr;
030      obj.swigCMemOwn = false;
031      obj.delete();
032    }
033    return ptr;
034  }
035
036  @SuppressWarnings("deprecation")
037  protected void finalize() {
038    delete();
039  }
040
041  public synchronized void delete() {
042    if (swigCPtr != 0) {
043      if (swigCMemOwn) {
044        swigCMemOwn = false;
045        QuantLibJNI.delete_IncrementalStatistics(swigCPtr);
046      }
047      swigCPtr = 0;
048    }
049  }
050
051  public long samples() {
052    return QuantLibJNI.IncrementalStatistics_samples(swigCPtr, this);
053  }
054
055  public double weightSum() {
056    return QuantLibJNI.IncrementalStatistics_weightSum(swigCPtr, this);
057  }
058
059  public double mean() {
060    return QuantLibJNI.IncrementalStatistics_mean(swigCPtr, this);
061  }
062
063  public double variance() {
064    return QuantLibJNI.IncrementalStatistics_variance(swigCPtr, this);
065  }
066
067  public double standardDeviation() {
068    return QuantLibJNI.IncrementalStatistics_standardDeviation(swigCPtr, this);
069  }
070
071  public double errorEstimate() {
072    return QuantLibJNI.IncrementalStatistics_errorEstimate(swigCPtr, this);
073  }
074
075  public double skewness() {
076    return QuantLibJNI.IncrementalStatistics_skewness(swigCPtr, this);
077  }
078
079  public double kurtosis() {
080    return QuantLibJNI.IncrementalStatistics_kurtosis(swigCPtr, this);
081  }
082
083  public double min() {
084    return QuantLibJNI.IncrementalStatistics_min(swigCPtr, this);
085  }
086
087  public double max() {
088    return QuantLibJNI.IncrementalStatistics_max(swigCPtr, this);
089  }
090
091  public void reset() {
092    QuantLibJNI.IncrementalStatistics_reset(swigCPtr, this);
093  }
094
095  public void add(double value, double weight) {
096    QuantLibJNI.IncrementalStatistics_add__SWIG_0(swigCPtr, this, value, weight);
097  }
098
099  public void add(double value) {
100    QuantLibJNI.IncrementalStatistics_add__SWIG_1(swigCPtr, this, value);
101  }
102
103  public void add(DoubleVector values) {
104    QuantLibJNI.IncrementalStatistics_add__SWIG_2(swigCPtr, this, DoubleVector.getCPtr(values), values);
105  }
106
107  public void add(DoubleVector values, DoubleVector weights) {
108    QuantLibJNI.IncrementalStatistics_add__SWIG_3(swigCPtr, this, DoubleVector.getCPtr(values), values, DoubleVector.getCPtr(weights), weights);
109  }
110
111  public IncrementalStatistics() {
112    this(QuantLibJNI.new_IncrementalStatistics(), true);
113  }
114
115}