// $Id: CbcCompareDefault.hpp 2465 2019-01-03 19:26:52Z unxusr $
// Copyright (C) 2002, International Business Machines
// Corporation and others.  All Rights Reserved.
// This code is licensed under the terms of the Eclipse Public License (EPL).

//Edwin 11/25/09 carved out of CbcCompareActual

#ifndef CbcCompareDefault_H
#define CbcCompareDefault_H

//#############################################################################
/*  These are alternative strategies for node traversal.
    They can take data etc for fine tuning

    At present the node list is stored as a heap and the "test"
    comparison function returns true if node y is better than node x.

*/
#include "CbcNode.hpp"
#include "CbcCompareBase.hpp"
#include "CbcCompare.hpp"

class CbcModel;

/* This is an example of a more complex rule with data
   It is default after first solution
   If weight is 0.0 then it is computed to hit first solution
   less 5%
*/
class CbcCompareDefault : public CbcCompareBase {
public:
  /// Default Constructor
  CbcCompareDefault();
  /// Constructor with weight
  CbcCompareDefault(double weight);

  /// Copy constructor
  CbcCompareDefault(const CbcCompareDefault &rhs);

  /// Assignment operator
  CbcCompareDefault &operator=(const CbcCompareDefault &rhs);

  /// Clone
  virtual CbcCompareBase *clone() const;
  /// Create C++ lines to get to current state
  virtual void generateCpp(FILE *fp);

  ~CbcCompareDefault();
  /* This returns true if weighted value of node y is less than
       weighted value of node x */
  virtual bool test(CbcNode *x, CbcNode *y);

  using CbcCompareBase::newSolution;
  /// This allows method to change behavior as it is called
  /// after each solution
  virtual bool newSolution(CbcModel *model,
    double objectiveAtContinuous,
    int numberInfeasibilitiesAtContinuous);
  /// This allows method to change behavior
  /// Return true if want tree re-sorted
  virtual bool every1000Nodes(CbcModel *model, int numberNodes);

  /* if weight == -1.0 then fewest infeasibilities (before solution)
       if -2.0 then do breadth first just for first 1000 nodes
       if -3.0 then depth first before solution
    */
  inline double getWeight() const
  {
    return weight_;
  }
  inline void setWeight(double weight)
  {
    weight_ = weight;
  }
  /// Cutoff
  inline double getCutoff() const
  {
    return cutoff_;
  }
  inline void setCutoff(double cutoff)
  {
    cutoff_ = cutoff;
  }
  /// Best possible solution
  inline double getBestPossible() const
  {
    return bestPossible_;
  }
  inline void setBestPossible(double bestPossible)
  {
    bestPossible_ = bestPossible;
  }
  /// Depth above which want to explore first
  inline void setBreadthDepth(int value)
  {
    breadthDepth_ = value;
  }
  /// Start dive
  void startDive(CbcModel *model);
  /// Clean up diving (i.e. switch off or prepare)
  void cleanDive();

protected:
  /// Weight for each infeasibility
  double weight_;
  /// Weight for each infeasibility - computed from solution
  double saveWeight_;
  /// Cutoff
  double cutoff_;
  /// Best possible solution
  double bestPossible_;
  /// Number of solutions
  int numberSolutions_;
  /// Tree size (at last check)
  int treeSize_;
  /// Depth above which want to explore first
  int breadthDepth_;
  /// Chosen node from estimated (-1 is off)
  int startNodeNumber_;
  /// Node number when dive started
  int afterNodeNumber_;
  /// Indicates doing setup for diving
  bool setupForDiving_;
};

#endif //CbcCompareDefault_H

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