ImprovementSearchLimit.java

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/* ----------------------------------------------------------------------------
 * This file was automatically generated by SWIG (https://www.swig.org).
 * Version 4.2.0
 *
 * Do not make changes to this file unless you know what you are doing - modify
 * the SWIG interface file instead.
 * ----------------------------------------------------------------------------- */
 
package com.google.ortools.constraintsolver;
 
public class ImprovementSearchLimit extends SearchLimit {
  private transient long swigCPtr;
 
  protected ImprovementSearchLimit(long cPtr, boolean cMemoryOwn) {
    super(mainJNI.ImprovementSearchLimit_SWIGUpcast(cPtr), cMemoryOwn);
    swigCPtr = cPtr;
  }
 
  protected static long getCPtr(ImprovementSearchLimit obj) {
    return (obj == null) ? 0 : obj.swigCPtr;
  }
 
  protected static long swigRelease(ImprovementSearchLimit obj) {
    long ptr = 0;
    if (obj != null) {
      if (!obj.swigCMemOwn)
        throw new RuntimeException("Cannot release ownership as memory is not owned");
      ptr = obj.swigCPtr;
      obj.swigCMemOwn = false;
      obj.delete();
    }
    return ptr;
  }
 
  @SuppressWarnings({"deprecation", "removal"})
  protected void finalize() {
    delete();
  }
 
  public synchronized void delete() {
    if (swigCPtr != 0) {
      if (swigCMemOwn) {
        swigCMemOwn = false;
        mainJNI.delete_ImprovementSearchLimit(swigCPtr);
      }
      swigCPtr = 0;
    }
    super.delete();
  }
 
  public ImprovementSearchLimit(Solver solver, IntVar objective_var, boolean maximize, double objective_scaling_factor, double objective_offset, double improvement_rate_coefficient, int improvement_rate_solutions_distance) {
    this(mainJNI.new_ImprovementSearchLimit__SWIG_0(Solver.getCPtr(solver), solver, IntVar.getCPtr(objective_var), objective_var, maximize, objective_scaling_factor, objective_offset, improvement_rate_coefficient, improvement_rate_solutions_distance), true);
  }
 
  public ImprovementSearchLimit(Solver solver, IntVar[] objective_vars, SWIGTYPE_p_std__vectorT_bool_t maximize, double[] objective_scaling_factors, double[] objective_offsets, double improvement_rate_coefficient, int improvement_rate_solutions_distance) {
    this(mainJNI.new_ImprovementSearchLimit__SWIG_1(Solver.getCPtr(solver), solver, objective_vars, SWIGTYPE_p_std__vectorT_bool_t.getCPtr(maximize), objective_scaling_factors, objective_offsets, improvement_rate_coefficient, improvement_rate_solutions_distance), true);
  }
 
  public void copy(SearchLimit limit) {
    mainJNI.ImprovementSearchLimit_copy(swigCPtr, this, SearchLimit.getCPtr(limit), limit);
  }
 
  public SearchLimit makeClone() {
    long cPtr = mainJNI.ImprovementSearchLimit_makeClone(swigCPtr, this);
    return (cPtr == 0) ? null : new SearchLimit(cPtr, false);
  }
 
  public boolean CheckWithOffset(SWIGTYPE_p_absl__Duration offset) {
    return mainJNI.ImprovementSearchLimit_CheckWithOffset(swigCPtr, this, SWIGTYPE_p_absl__Duration.getCPtr(offset));
  }
 
  public boolean atSolution() {
    return mainJNI.ImprovementSearchLimit_atSolution(swigCPtr, this);
  }
 
  public void init() {
    mainJNI.ImprovementSearchLimit_init(swigCPtr, this);
  }
 
  public void install() {
    mainJNI.ImprovementSearchLimit_install(swigCPtr, this);
  }
 
}