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 ExponentialSplinesFitting extends FittingMethod implements org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable {
012  private transient long swigCPtr;
013  private transient boolean swigCMemOwnDerived;
014
015  protected ExponentialSplinesFitting(long cPtr, boolean cMemoryOwn) {
016    super(QuantLibJNI.ExponentialSplinesFitting_SWIGSmartPtrUpcast(cPtr), true);
017    swigCMemOwnDerived = cMemoryOwn;
018    swigCPtr = cPtr;
019  }
020
021  protected static long getCPtr(ExponentialSplinesFitting 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_ExponentialSplinesFitting(swigCPtr);
040      }
041      swigCPtr = 0;
042    }
043    super.delete();
044  }
045
046  public ExponentialSplinesFitting(boolean constrainAtZero, Array weights, Array l2, double minCutoffTime, double maxCutoffTime, long numCoeffs, double fixedKappa) {
047    this(QuantLibJNI.new_ExponentialSplinesFitting__SWIG_0(constrainAtZero, Array.getCPtr(weights), weights, Array.getCPtr(l2), l2, minCutoffTime, maxCutoffTime, numCoeffs, fixedKappa), true);
048  }
049
050  public ExponentialSplinesFitting(boolean constrainAtZero, Array weights, Array l2, double minCutoffTime, double maxCutoffTime, long numCoeffs) {
051    this(QuantLibJNI.new_ExponentialSplinesFitting__SWIG_1(constrainAtZero, Array.getCPtr(weights), weights, Array.getCPtr(l2), l2, minCutoffTime, maxCutoffTime, numCoeffs), true);
052  }
053
054  public ExponentialSplinesFitting(boolean constrainAtZero, Array weights, Array l2, double minCutoffTime, double maxCutoffTime) {
055    this(QuantLibJNI.new_ExponentialSplinesFitting__SWIG_2(constrainAtZero, Array.getCPtr(weights), weights, Array.getCPtr(l2), l2, minCutoffTime, maxCutoffTime), true);
056  }
057
058  public ExponentialSplinesFitting(boolean constrainAtZero, Array weights, Array l2, double minCutoffTime) {
059    this(QuantLibJNI.new_ExponentialSplinesFitting__SWIG_3(constrainAtZero, Array.getCPtr(weights), weights, Array.getCPtr(l2), l2, minCutoffTime), true);
060  }
061
062  public ExponentialSplinesFitting(boolean constrainAtZero, Array weights, Array l2) {
063    this(QuantLibJNI.new_ExponentialSplinesFitting__SWIG_4(constrainAtZero, Array.getCPtr(weights), weights, Array.getCPtr(l2), l2), true);
064  }
065
066  public ExponentialSplinesFitting(boolean constrainAtZero, Array weights) {
067    this(QuantLibJNI.new_ExponentialSplinesFitting__SWIG_5(constrainAtZero, Array.getCPtr(weights), weights), true);
068  }
069
070  public ExponentialSplinesFitting(boolean constrainAtZero) {
071    this(QuantLibJNI.new_ExponentialSplinesFitting__SWIG_6(constrainAtZero), true);
072  }
073
074  public ExponentialSplinesFitting() {
075    this(QuantLibJNI.new_ExponentialSplinesFitting__SWIG_7(), true);
076  }
077
078}