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 MarkovFunctionalSettings implements org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable {
012  private transient long swigCPtr;
013  protected transient boolean swigCMemOwn;
014
015  protected MarkovFunctionalSettings(long cPtr, boolean cMemoryOwn) {
016    swigCMemOwn = cMemoryOwn;
017    swigCPtr = cPtr;
018  }
019
020  protected static long getCPtr(MarkovFunctionalSettings obj) {
021    return (obj == null) ? 0 : obj.swigCPtr;
022  }
023
024  protected static long swigRelease(MarkovFunctionalSettings 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_MarkovFunctionalSettings(swigCPtr);
046      }
047      swigCPtr = 0;
048    }
049  }
050
051  public MarkovFunctionalSettings() {
052    this(QuantLibJNI.new_MarkovFunctionalSettings__SWIG_0(), true);
053  }
054
055  public MarkovFunctionalSettings(long yGridPoints, double yStdDevs, long gaussHermitePoints, double digitalGap, double marketRateAccuracy, double lowerRateBound, double upperRateBound, int adjustments, DoubleVector smileMoneyCheckpoints) {
056    this(QuantLibJNI.new_MarkovFunctionalSettings__SWIG_1(yGridPoints, yStdDevs, gaussHermitePoints, digitalGap, marketRateAccuracy, lowerRateBound, upperRateBound, adjustments, DoubleVector.getCPtr(smileMoneyCheckpoints), smileMoneyCheckpoints), true);
057  }
058
059  public MarkovFunctionalSettings(long yGridPoints, double yStdDevs, long gaussHermitePoints, double digitalGap, double marketRateAccuracy, double lowerRateBound, double upperRateBound, int adjustments) {
060    this(QuantLibJNI.new_MarkovFunctionalSettings__SWIG_2(yGridPoints, yStdDevs, gaussHermitePoints, digitalGap, marketRateAccuracy, lowerRateBound, upperRateBound, adjustments), true);
061  }
062
063  public void validate() {
064    QuantLibJNI.MarkovFunctionalSettings_validate(swigCPtr, this);
065  }
066
067  public final static class Adjustments {
068    public final static MarkovFunctionalSettings.Adjustments AdjustNone = new MarkovFunctionalSettings.Adjustments("AdjustNone", QuantLibJNI.MarkovFunctionalSettings_AdjustNone_get());
069    public final static MarkovFunctionalSettings.Adjustments AdjustDigitals = new MarkovFunctionalSettings.Adjustments("AdjustDigitals", QuantLibJNI.MarkovFunctionalSettings_AdjustDigitals_get());
070    public final static MarkovFunctionalSettings.Adjustments AdjustYts = new MarkovFunctionalSettings.Adjustments("AdjustYts", QuantLibJNI.MarkovFunctionalSettings_AdjustYts_get());
071    public final static MarkovFunctionalSettings.Adjustments ExtrapolatePayoffFlat = new MarkovFunctionalSettings.Adjustments("ExtrapolatePayoffFlat", QuantLibJNI.MarkovFunctionalSettings_ExtrapolatePayoffFlat_get());
072    public final static MarkovFunctionalSettings.Adjustments NoPayoffExtrapolation = new MarkovFunctionalSettings.Adjustments("NoPayoffExtrapolation", QuantLibJNI.MarkovFunctionalSettings_NoPayoffExtrapolation_get());
073    public final static MarkovFunctionalSettings.Adjustments KahaleSmile = new MarkovFunctionalSettings.Adjustments("KahaleSmile", QuantLibJNI.MarkovFunctionalSettings_KahaleSmile_get());
074    public final static MarkovFunctionalSettings.Adjustments SmileExponentialExtrapolation = new MarkovFunctionalSettings.Adjustments("SmileExponentialExtrapolation", QuantLibJNI.MarkovFunctionalSettings_SmileExponentialExtrapolation_get());
075    public final static MarkovFunctionalSettings.Adjustments KahaleInterpolation = new MarkovFunctionalSettings.Adjustments("KahaleInterpolation", QuantLibJNI.MarkovFunctionalSettings_KahaleInterpolation_get());
076    public final static MarkovFunctionalSettings.Adjustments SmileDeleteArbitragePoints = new MarkovFunctionalSettings.Adjustments("SmileDeleteArbitragePoints", QuantLibJNI.MarkovFunctionalSettings_SmileDeleteArbitragePoints_get());
077    public final static MarkovFunctionalSettings.Adjustments SabrSmile = new MarkovFunctionalSettings.Adjustments("SabrSmile", QuantLibJNI.MarkovFunctionalSettings_SabrSmile_get());
078
079    public final int swigValue() {
080      return swigValue;
081    }
082
083    public String toString() {
084      return swigName;
085    }
086
087    public static Adjustments swigToEnum(int swigValue) {
088      if (swigValue < swigValues.length && swigValue >= 0 && swigValues[swigValue].swigValue == swigValue)
089        return swigValues[swigValue];
090      for (int i = 0; i < swigValues.length; i++)
091        if (swigValues[i].swigValue == swigValue)
092          return swigValues[i];
093      throw new IllegalArgumentException("No enum " + Adjustments.class + " with value " + swigValue);
094    }
095
096    private Adjustments(String swigName) {
097      this.swigName = swigName;
098      this.swigValue = swigNext++;
099    }
100
101    private Adjustments(String swigName, int swigValue) {
102      this.swigName = swigName;
103      this.swigValue = swigValue;
104      swigNext = swigValue+1;
105    }
106
107    private Adjustments(String swigName, Adjustments swigEnum) {
108      this.swigName = swigName;
109      this.swigValue = swigEnum.swigValue;
110      swigNext = this.swigValue+1;
111    }
112
113    private static Adjustments[] swigValues = { AdjustNone, AdjustDigitals, AdjustYts, ExtrapolatePayoffFlat, NoPayoffExtrapolation, KahaleSmile, SmileExponentialExtrapolation, KahaleInterpolation, SmileDeleteArbitragePoints, SabrSmile };
114    private static int swigNext = 0;
115    private final int swigValue;
116    private final String swigName;
117  }
118
119}