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 Gaussian1dFloatFloatSwaptionEngine extends PricingEngine implements org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable { 012 private transient long swigCPtr; 013 private transient boolean swigCMemOwnDerived; 014 015 protected Gaussian1dFloatFloatSwaptionEngine(long cPtr, boolean cMemoryOwn) { 016 super(QuantLibJNI.Gaussian1dFloatFloatSwaptionEngine_SWIGSmartPtrUpcast(cPtr), true); 017 swigCMemOwnDerived = cMemoryOwn; 018 swigCPtr = cPtr; 019 } 020 021 protected static long getCPtr(Gaussian1dFloatFloatSwaptionEngine 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_Gaussian1dFloatFloatSwaptionEngine(swigCPtr); 040 } 041 swigCPtr = 0; 042 } 043 super.delete(); 044 } 045 046 public Gaussian1dFloatFloatSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs, boolean extrapolatePayoff, boolean flatPayoffExtrapolation, QuoteHandle oas, YieldTermStructureHandle discountCurve, boolean includeTodaysExercise, Gaussian1dFloatFloatSwaptionEngine.Probabilities probabilities) { 047 this(QuantLibJNI.new_Gaussian1dFloatFloatSwaptionEngine__SWIG_0(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs, extrapolatePayoff, flatPayoffExtrapolation, QuoteHandle.getCPtr(oas), oas, YieldTermStructureHandle.getCPtr(discountCurve), discountCurve, includeTodaysExercise, probabilities.swigValue()), true); 048 } 049 050 public Gaussian1dFloatFloatSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs, boolean extrapolatePayoff, boolean flatPayoffExtrapolation, QuoteHandle oas, YieldTermStructureHandle discountCurve, boolean includeTodaysExercise) { 051 this(QuantLibJNI.new_Gaussian1dFloatFloatSwaptionEngine__SWIG_1(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs, extrapolatePayoff, flatPayoffExtrapolation, QuoteHandle.getCPtr(oas), oas, YieldTermStructureHandle.getCPtr(discountCurve), discountCurve, includeTodaysExercise), true); 052 } 053 054 public Gaussian1dFloatFloatSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs, boolean extrapolatePayoff, boolean flatPayoffExtrapolation, QuoteHandle oas, YieldTermStructureHandle discountCurve) { 055 this(QuantLibJNI.new_Gaussian1dFloatFloatSwaptionEngine__SWIG_2(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs, extrapolatePayoff, flatPayoffExtrapolation, QuoteHandle.getCPtr(oas), oas, YieldTermStructureHandle.getCPtr(discountCurve), discountCurve), true); 056 } 057 058 public Gaussian1dFloatFloatSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs, boolean extrapolatePayoff, boolean flatPayoffExtrapolation, QuoteHandle oas) { 059 this(QuantLibJNI.new_Gaussian1dFloatFloatSwaptionEngine__SWIG_3(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs, extrapolatePayoff, flatPayoffExtrapolation, QuoteHandle.getCPtr(oas), oas), true); 060 } 061 062 public Gaussian1dFloatFloatSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs, boolean extrapolatePayoff, boolean flatPayoffExtrapolation) { 063 this(QuantLibJNI.new_Gaussian1dFloatFloatSwaptionEngine__SWIG_4(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs, extrapolatePayoff, flatPayoffExtrapolation), true); 064 } 065 066 public Gaussian1dFloatFloatSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs, boolean extrapolatePayoff) { 067 this(QuantLibJNI.new_Gaussian1dFloatFloatSwaptionEngine__SWIG_5(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs, extrapolatePayoff), true); 068 } 069 070 public Gaussian1dFloatFloatSwaptionEngine(Gaussian1dModel model, int integrationPoints, double stddevs) { 071 this(QuantLibJNI.new_Gaussian1dFloatFloatSwaptionEngine__SWIG_6(Gaussian1dModel.getCPtr(model), model, integrationPoints, stddevs), true); 072 } 073 074 public Gaussian1dFloatFloatSwaptionEngine(Gaussian1dModel model, int integrationPoints) { 075 this(QuantLibJNI.new_Gaussian1dFloatFloatSwaptionEngine__SWIG_7(Gaussian1dModel.getCPtr(model), model, integrationPoints), true); 076 } 077 078 public Gaussian1dFloatFloatSwaptionEngine(Gaussian1dModel model) { 079 this(QuantLibJNI.new_Gaussian1dFloatFloatSwaptionEngine__SWIG_8(Gaussian1dModel.getCPtr(model), model), true); 080 } 081 082 public final static class Probabilities { 083 public final static Gaussian1dFloatFloatSwaptionEngine.Probabilities None = new Gaussian1dFloatFloatSwaptionEngine.Probabilities("None"); 084 public final static Gaussian1dFloatFloatSwaptionEngine.Probabilities Naive = new Gaussian1dFloatFloatSwaptionEngine.Probabilities("Naive"); 085 public final static Gaussian1dFloatFloatSwaptionEngine.Probabilities Digital = new Gaussian1dFloatFloatSwaptionEngine.Probabilities("Digital"); 086 087 public final int swigValue() { 088 return swigValue; 089 } 090 091 public String toString() { 092 return swigName; 093 } 094 095 public static Probabilities swigToEnum(int swigValue) { 096 if (swigValue < swigValues.length && swigValue >= 0 && swigValues[swigValue].swigValue == swigValue) 097 return swigValues[swigValue]; 098 for (int i = 0; i < swigValues.length; i++) 099 if (swigValues[i].swigValue == swigValue) 100 return swigValues[i]; 101 throw new IllegalArgumentException("No enum " + Probabilities.class + " with value " + swigValue); 102 } 103 104 private Probabilities(String swigName) { 105 this.swigName = swigName; 106 this.swigValue = swigNext++; 107 } 108 109 private Probabilities(String swigName, int swigValue) { 110 this.swigName = swigName; 111 this.swigValue = swigValue; 112 swigNext = swigValue+1; 113 } 114 115 private Probabilities(String swigName, Probabilities swigEnum) { 116 this.swigName = swigName; 117 this.swigValue = swigEnum.swigValue; 118 swigNext = this.swigValue+1; 119 } 120 121 private static Probabilities[] swigValues = { None, Naive, Digital }; 122 private static int swigNext = 0; 123 private final int swigValue; 124 private final String swigName; 125 } 126 127}