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 Gaussian1dSwaptionEngine extends PricingEngine implements org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable {
012  private transient long swigCPtr;
013  private transient boolean swigCMemOwnDerived;
014
015  protected Gaussian1dSwaptionEngine(long cPtr, boolean cMemoryOwn) {
016    super(QuantLibJNI.Gaussian1dSwaptionEngine_SWIGSmartPtrUpcast(cPtr), true);
017    swigCMemOwnDerived = cMemoryOwn;
018    swigCPtr = cPtr;
019  }
020
021  protected static long getCPtr(Gaussian1dSwaptionEngine obj) {
022    return (obj == null) ? 0 : obj.swigCPtr;
023  }
024
025  protected void swigSetCMemOwn(boolean own) {
026    swigCMemOwnDerived = own;
027    super.swigSetCMemOwn(own);
028  }
029
030  @SuppressWarnings("deprecation")
031  protected void finalize() {
032    delete();
033  }
034
035  public synchronized void delete() {
036    if (swigCPtr != 0) {
037      if (swigCMemOwnDerived) {
038        swigCMemOwnDerived = false;
039        QuantLibJNI.delete_Gaussian1dSwaptionEngine(swigCPtr);
040      }
041      swigCPtr = 0;
042    }
043    super.delete();
044  }
045
046  public Gaussian1dSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs, boolean extrapolatePayoff, boolean flatPayoffExtrapolation, YieldTermStructureHandle discountCurve, Gaussian1dSwaptionEngine.Probabilities probabilities) {
047    this(QuantLibJNI.new_Gaussian1dSwaptionEngine__SWIG_0(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs, extrapolatePayoff, flatPayoffExtrapolation, YieldTermStructureHandle.getCPtr(discountCurve), discountCurve, probabilities.swigValue()), true);
048  }
049
050  public Gaussian1dSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs, boolean extrapolatePayoff, boolean flatPayoffExtrapolation, YieldTermStructureHandle discountCurve) {
051    this(QuantLibJNI.new_Gaussian1dSwaptionEngine__SWIG_1(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs, extrapolatePayoff, flatPayoffExtrapolation, YieldTermStructureHandle.getCPtr(discountCurve), discountCurve), true);
052  }
053
054  public Gaussian1dSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs, boolean extrapolatePayoff, boolean flatPayoffExtrapolation) {
055    this(QuantLibJNI.new_Gaussian1dSwaptionEngine__SWIG_2(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs, extrapolatePayoff, flatPayoffExtrapolation), true);
056  }
057
058  public Gaussian1dSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs, boolean extrapolatePayoff) {
059    this(QuantLibJNI.new_Gaussian1dSwaptionEngine__SWIG_3(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs, extrapolatePayoff), true);
060  }
061
062  public Gaussian1dSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs) {
063    this(QuantLibJNI.new_Gaussian1dSwaptionEngine__SWIG_4(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs), true);
064  }
065
066  public Gaussian1dSwaptionEngine(Gaussian1dModel model, int integrationPoints) {
067    this(QuantLibJNI.new_Gaussian1dSwaptionEngine__SWIG_5(Gaussian1dModel.getCPtr(model), model, integrationPoints), true);
068  }
069
070  public Gaussian1dSwaptionEngine(Gaussian1dModel model) {
071    this(QuantLibJNI.new_Gaussian1dSwaptionEngine__SWIG_6(Gaussian1dModel.getCPtr(model), model), true);
072  }
073
074  public final static class Probabilities {
075    public final static Gaussian1dSwaptionEngine.Probabilities None = new Gaussian1dSwaptionEngine.Probabilities("None");
076    public final static Gaussian1dSwaptionEngine.Probabilities Naive = new Gaussian1dSwaptionEngine.Probabilities("Naive");
077    public final static Gaussian1dSwaptionEngine.Probabilities Digital = new Gaussian1dSwaptionEngine.Probabilities("Digital");
078
079    public final int swigValue() {
080      return swigValue;
081    }
082
083    public String toString() {
084      return swigName;
085    }
086
087    public static Probabilities 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 " + Probabilities.class + " with value " + swigValue);
094    }
095
096    private Probabilities(String swigName) {
097      this.swigName = swigName;
098      this.swigValue = swigNext++;
099    }
100
101    private Probabilities(String swigName, int swigValue) {
102      this.swigName = swigName;
103      this.swigValue = swigValue;
104      swigNext = swigValue+1;
105    }
106
107    private Probabilities(String swigName, Probabilities swigEnum) {
108      this.swigName = swigName;
109      this.swigValue = swigEnum.swigValue;
110      swigNext = this.swigValue+1;
111    }
112
113    private static Probabilities[] swigValues = { None, Naive, Digital };
114    private static int swigNext = 0;
115    private final int swigValue;
116    private final String swigName;
117  }
118
119}