/* -*- mode: C++; indent-tabs-mode: nil; -*-

  *

  * This file is a part of LEMON, a generic C++ optimization library.

  *

  * Copyright (C) 2003-2011

  * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport

  * (Egervary Research Group on Combinatorial Optimization, EGRES).

  *

  * Permission to use, modify and distribute this software is granted

  * provided that this copyright notice appears in all copies. For

  * precise terms see the accompanying LICENSE file.

  *

  * This software is provided "AS IS" with no warranty of any kind,

  * express or implied, and with no claim as to its suitability for any

  * purpose.

  *

  */

 #include <iostream>

 #include <vector>

 #include <cstring>

 #include <lemon/cplex.h>

 extern "C" {

 #include <ilcplex/cplex.h>

 }

 ///\file

 ///\brief Implementation of the LEMON-CPLEX lp solver interface.

 namespace lemon {

   CplexEnv::LicenseError::LicenseError(int status) {

     if (!CPXgeterrorstring(0, status, _message)) {

       std::strcpy(_message, "Cplex unknown error");

     }

   }

   CplexEnv::CplexEnv() {

     int status;

     _cnt = new int;

     _env = CPXopenCPLEX(&status);

     if (_env == 0) {

       delete _cnt;

       _cnt = 0;

       throw LicenseError(status);

     }

   }

   CplexEnv::CplexEnv(const CplexEnv& other) {

     _env = other._env;

     _cnt = other._cnt;

     ++(*_cnt);

   }

   CplexEnv& CplexEnv::operator=(const CplexEnv& other) {

     _env = other._env;

     _cnt = other._cnt;

     ++(*_cnt);

     return *this;

   }

   CplexEnv::~CplexEnv() {

     --(*_cnt);

     if (*_cnt == 0) {

       delete _cnt;

       CPXcloseCPLEX(&_env);

     }

   }

   CplexBase::CplexBase() : LpBase() {

     int status;

     _prob = CPXcreateprob(cplexEnv(), &status, "Cplex problem");

     messageLevel(MESSAGE_NOTHING);

   }

   CplexBase::CplexBase(const CplexEnv& env)

     : LpBase(), _env(env) {

     int status;

     _prob = CPXcreateprob(cplexEnv(), &status, "Cplex problem");

     messageLevel(MESSAGE_NOTHING);

   }

   CplexBase::CplexBase(const CplexBase& cplex)

     : LpBase() {

     int status;

     _prob = CPXcloneprob(cplexEnv(), cplex._prob, &status);

     rows = cplex.rows;

     cols = cplex.cols;

     messageLevel(MESSAGE_NOTHING);

   }

   CplexBase::~CplexBase() {

     CPXfreeprob(cplexEnv(),&_prob);

   }

   int CplexBase::_addCol() {

     int i = CPXgetnumcols(cplexEnv(), _prob);

     double lb = -INF, ub = INF;

     CPXnewcols(cplexEnv(), _prob, 1, 0, &lb, &ub, 0, 0);

     return i;

   }

   int CplexBase::_addRow() {

     int i = CPXgetnumrows(cplexEnv(), _prob);

     const double ub = INF;

     const char s = 'L';

     CPXnewrows(cplexEnv(), _prob, 1, &ub, &s, 0, 0);

     return i;

   }

   void CplexBase::_eraseCol(int i) {

     CPXdelcols(cplexEnv(), _prob, i, i);

   }

   void CplexBase::_eraseRow(int i) {

     CPXdelrows(cplexEnv(), _prob, i, i);

   }

   void CplexBase::_eraseColId(int i) {

     cols.eraseIndex(i);

     cols.shiftIndices(i);

   }

   void CplexBase::_eraseRowId(int i) {

     rows.eraseIndex(i);

     rows.shiftIndices(i);

   }

   void CplexBase::_getColName(int col, std::string &name) const {

     int size;

     CPXgetcolname(cplexEnv(), _prob, 0, 0, 0, &size, col, col);

     if (size == 0) {

       name.clear();

       return;

     }

     size *= -1;

     std::vector<char> buf(size);

     char *cname;

     int tmp;

     CPXgetcolname(cplexEnv(), _prob, &cname, &buf.front(), size,

                   &tmp, col, col);

     name = cname;

   }

   void CplexBase::_setColName(int col, const std::string &name) {

     char *cname;

     cname = const_cast<char*>(name.c_str());

     CPXchgcolname(cplexEnv(), _prob, 1, &col, &cname);

   }

   int CplexBase::_colByName(const std::string& name) const {

     int index;

     if (CPXgetcolindex(cplexEnv(), _prob,

                        const_cast<char*>(name.c_str()), &index) == 0) {

       return index;

     }

     return -1;

   }

   void CplexBase::_getRowName(int row, std::string &name) const {

     int size;

     CPXgetrowname(cplexEnv(), _prob, 0, 0, 0, &size, row, row);

     if (size == 0) {

       name.clear();

       return;

     }

     size *= -1;

     std::vector<char> buf(size);

     char *cname;

     int tmp;

     CPXgetrowname(cplexEnv(), _prob, &cname, &buf.front(), size,

                   &tmp, row, row);

     name = cname;

   }

   void CplexBase::_setRowName(int row, const std::string &name) {

     char *cname;

     cname = const_cast<char*>(name.c_str());

     CPXchgrowname(cplexEnv(), _prob, 1, &row, &cname);

   }

   int CplexBase::_rowByName(const std::string& name) const {

     int index;

     if (CPXgetrowindex(cplexEnv(), _prob,

                        const_cast<char*>(name.c_str()), &index) == 0) {

       return index;

     }

     return -1;

   }

   void CplexBase::_setRowCoeffs(int i, ExprIterator b,

                                       ExprIterator e)

   {

     std::vector<int> indices;

     std::vector<int> rowlist;

     std::vector<Value> values;

     for(ExprIterator it=b; it!=e; ++it) {

       indices.push_back(it->first);

       values.push_back(it->second);

       rowlist.push_back(i);

     }

     CPXchgcoeflist(cplexEnv(), _prob, values.size(),

                    &rowlist.front(), &indices.front(), &values.front());

   }

   void CplexBase::_getRowCoeffs(int i, InsertIterator b) const {

     int tmp1, tmp2, tmp3, length;

     CPXgetrows(cplexEnv(), _prob, &tmp1, &tmp2, 0, 0, 0, &length, i, i);

     length = -length;

     std::vector<int> indices(length);

     std::vector<double> values(length);

     CPXgetrows(cplexEnv(), _prob, &tmp1, &tmp2,

                &indices.front(), &values.front(),

                length, &tmp3, i, i);

     for (int i = 0; i < length; ++i) {

       *b = std::make_pair(indices[i], values[i]);

       ++b;

     }

   }

   void CplexBase::_setColCoeffs(int i, ExprIterator b, ExprIterator e) {

     std::vector<int> indices;

     std::vector<int> collist;

     std::vector<Value> values;

     for(ExprIterator it=b; it!=e; ++it) {

       indices.push_back(it->first);

       values.push_back(it->second);

       collist.push_back(i);

     }

     CPXchgcoeflist(cplexEnv(), _prob, values.size(),

                    &indices.front(), &collist.front(), &values.front());

   }

   void CplexBase::_getColCoeffs(int i, InsertIterator b) const {

     int tmp1, tmp2, tmp3, length;

     CPXgetcols(cplexEnv(), _prob, &tmp1, &tmp2, 0, 0, 0, &length, i, i);

     length = -length;

     std::vector<int> indices(length);

     std::vector<double> values(length);

     CPXgetcols(cplexEnv(), _prob, &tmp1, &tmp2,

                &indices.front(), &values.front(),

                length, &tmp3, i, i);

     for (int i = 0; i < length; ++i) {

       *b = std::make_pair(indices[i], values[i]);

       ++b;

     }

   }

   void CplexBase::_setCoeff(int row, int col, Value value) {

     CPXchgcoef(cplexEnv(), _prob, row, col, value);

   }

   CplexBase::Value CplexBase::_getCoeff(int row, int col) const {

     CplexBase::Value value;

     CPXgetcoef(cplexEnv(), _prob, row, col, &value);

     return value;

   }

   void CplexBase::_setColLowerBound(int i, Value value) {

     const char s = 'L';

     CPXchgbds(cplexEnv(), _prob, 1, &i, &s, &value);

   }

   CplexBase::Value CplexBase::_getColLowerBound(int i) const {

     CplexBase::Value res;

     CPXgetlb(cplexEnv(), _prob, &res, i, i);

     return res <= -CPX_INFBOUND ? -INF : res;

   }

   void CplexBase::_setColUpperBound(int i, Value value)

   {

     const char s = 'U';

     CPXchgbds(cplexEnv(), _prob, 1, &i, &s, &value);

   }

   CplexBase::Value CplexBase::_getColUpperBound(int i) const {

     CplexBase::Value res;

     CPXgetub(cplexEnv(), _prob, &res, i, i);

     return res >= CPX_INFBOUND ? INF : res;

   }

   CplexBase::Value CplexBase::_getRowLowerBound(int i) const {

     char s;

     CPXgetsense(cplexEnv(), _prob, &s, i, i);

     CplexBase::Value res;

     switch (s) {

     case 'G':

     case 'R':

     case 'E':

       CPXgetrhs(cplexEnv(), _prob, &res, i, i);

       return res <= -CPX_INFBOUND ? -INF : res;

     default:

       return -INF;

     }

   }

   CplexBase::Value CplexBase::_getRowUpperBound(int i) const {

     char s;

     CPXgetsense(cplexEnv(), _prob, &s, i, i);

     CplexBase::Value res;

     switch (s) {

     case 'L':

     case 'E':

       CPXgetrhs(cplexEnv(), _prob, &res, i, i);

       return res >= CPX_INFBOUND ? INF : res;

     case 'R':

       CPXgetrhs(cplexEnv(), _prob, &res, i, i);

       {

         double rng;

         CPXgetrngval(cplexEnv(), _prob, &rng, i, i);

         res += rng;

       }

       return res >= CPX_INFBOUND ? INF : res;

     default:

       return INF;

     }

   }

   //This is easier to implement

   void CplexBase::_set_row_bounds(int i, Value lb, Value ub) {

     if (lb == -INF) {

       const char s = 'L';

       CPXchgsense(cplexEnv(), _prob, 1, &i, &s);

       CPXchgrhs(cplexEnv(), _prob, 1, &i, &ub);

     } else if (ub == INF) {

       const char s = 'G';

       CPXchgsense(cplexEnv(), _prob, 1, &i, &s);

       CPXchgrhs(cplexEnv(), _prob, 1, &i, &lb);

     } else if (lb == ub){

       const char s = 'E';

       CPXchgsense(cplexEnv(), _prob, 1, &i, &s);

       CPXchgrhs(cplexEnv(), _prob, 1, &i, &lb);

     } else {

       const char s = 'R';

       CPXchgsense(cplexEnv(), _prob, 1, &i, &s);

       CPXchgrhs(cplexEnv(), _prob, 1, &i, &lb);

       double len = ub - lb;

       CPXchgrngval(cplexEnv(), _prob, 1, &i, &len);

     }

   }

   void CplexBase::_setRowLowerBound(int i, Value lb)

   {

     LEMON_ASSERT(lb != INF, "Invalid bound");

     _set_row_bounds(i, lb, CplexBase::_getRowUpperBound(i));

   }

   void CplexBase::_setRowUpperBound(int i, Value ub)

   {

     LEMON_ASSERT(ub != -INF, "Invalid bound");

     _set_row_bounds(i, CplexBase::_getRowLowerBound(i), ub);

   }

   void CplexBase::_setObjCoeffs(ExprIterator b, ExprIterator e)

   {

     std::vector<int> indices;

     std::vector<Value> values;

     for(ExprIterator it=b; it!=e; ++it) {

       indices.push_back(it->first);

       values.push_back(it->second);

     }

     CPXchgobj(cplexEnv(), _prob, values.size(),

               &indices.front(), &values.front());

   }

   void CplexBase::_getObjCoeffs(InsertIterator b) const

   {

     int num = CPXgetnumcols(cplexEnv(), _prob);

     std::vector<Value> x(num);

     CPXgetobj(cplexEnv(), _prob, &x.front(), 0, num - 1);

     for (int i = 0; i < num; ++i) {

       if (x[i] != 0.0) {

         *b = std::make_pair(i, x[i]);

         ++b;

       }

     }

   }

   void CplexBase::_setObjCoeff(int i, Value obj_coef)

   {

     CPXchgobj(cplexEnv(), _prob, 1, &i, &obj_coef);

   }

   CplexBase::Value CplexBase::_getObjCoeff(int i) const

   {

     Value x;

     CPXgetobj(cplexEnv(), _prob, &x, i, i);

     return x;

   }

   void CplexBase::_setSense(CplexBase::Sense sense) {

     switch (sense) {

     case MIN:

       CPXchgobjsen(cplexEnv(), _prob, CPX_MIN);

       break;

     case MAX:

       CPXchgobjsen(cplexEnv(), _prob, CPX_MAX);

       break;

     }

   }

   CplexBase::Sense CplexBase::_getSense() const {

     switch (CPXgetobjsen(cplexEnv(), _prob)) {

     case CPX_MIN:

       return MIN;

     case CPX_MAX:

       return MAX;

     default:

       LEMON_ASSERT(false, "Invalid sense");

       return CplexBase::Sense();

     }

   }

   void CplexBase::_clear() {

     CPXfreeprob(cplexEnv(),&_prob);

     int status;

     _prob = CPXcreateprob(cplexEnv(), &status, "Cplex problem");

     rows.clear();

     cols.clear();

   }

   void CplexBase::_messageLevel(MessageLevel level) {

     switch (level) {

     case MESSAGE_NOTHING:

       _message_enabled = false;

       break;

     case MESSAGE_ERROR:

     case MESSAGE_WARNING:

     case MESSAGE_NORMAL:

     case MESSAGE_VERBOSE:

       _message_enabled = true;

       break;

     }

   }

   void CplexBase::_applyMessageLevel() {

     CPXsetintparam(cplexEnv(), CPX_PARAM_SCRIND,

                    _message_enabled ? CPX_ON : CPX_OFF);

   }

   // CplexLp members

   CplexLp::CplexLp()

     : LpBase(), LpSolver(), CplexBase() {}

   CplexLp::CplexLp(const CplexEnv& env)

     : LpBase(), LpSolver(), CplexBase(env) {}

   CplexLp::CplexLp(const CplexLp& other)

     : LpBase(), LpSolver(), CplexBase(other) {}

   CplexLp::~CplexLp() {}

   CplexLp* CplexLp::newSolver() const { return new CplexLp; }

   CplexLp* CplexLp::cloneSolver() const {return new CplexLp(*this); }

   const char* CplexLp::_solverName() const { return "CplexLp"; }

   void CplexLp::_clear_temporals() {

     _col_status.clear();

     _row_status.clear();

     _primal_ray.clear();

     _dual_ray.clear();

   }

   // The routine returns zero unless an error occurred during the

   // optimization. Examples of errors include exhausting available

   // memory (CPXERR_NO_MEMORY) or encountering invalid data in the

   // CPLEX problem object (CPXERR_NO_PROBLEM). Exceeding a

   // user-specified CPLEX limit, or proving the model infeasible or

   // unbounded, are not considered errors. Note that a zero return

   // value does not necessarily mean that a solution exists. Use query

   // routines CPXsolninfo, CPXgetstat, and CPXsolution to obtain

   // further information about the status of the optimization.

   CplexLp::SolveExitStatus CplexLp::convertStatus(int status) {

 #if CPX_VERSION >= 800

     if (status == 0) {

       switch (CPXgetstat(cplexEnv(), _prob)) {

       case CPX_STAT_OPTIMAL:

       case CPX_STAT_INFEASIBLE:

       case CPX_STAT_UNBOUNDED:

         return SOLVED;

       default:

         return UNSOLVED;

       }

     } else {

       return UNSOLVED;

     }

 #else

     if (status == 0) {

       //We want to exclude some cases

       switch (CPXgetstat(cplexEnv(), _prob)) {

       case CPX_OBJ_LIM:

       case CPX_IT_LIM_FEAS:

       case CPX_IT_LIM_INFEAS:

       case CPX_TIME_LIM_FEAS:

       case CPX_TIME_LIM_INFEAS:

         return UNSOLVED;

       default:

         return SOLVED;

       }

     } else {

       return UNSOLVED;

     }

 #endif

   }

   CplexLp::SolveExitStatus CplexLp::_solve() {

     _clear_temporals();

     _applyMessageLevel();

     return convertStatus(CPXlpopt(cplexEnv(), _prob));

   }

   CplexLp::SolveExitStatus CplexLp::solvePrimal() {

     _clear_temporals();

     _applyMessageLevel();

     return convertStatus(CPXprimopt(cplexEnv(), _prob));

   }

   CplexLp::SolveExitStatus CplexLp::solveDual() {

     _clear_temporals();

     _applyMessageLevel();

     return convertStatus(CPXdualopt(cplexEnv(), _prob));

   }

   CplexLp::SolveExitStatus CplexLp::solveBarrier() {

     _clear_temporals();

     _applyMessageLevel();

     return convertStatus(CPXbaropt(cplexEnv(), _prob));

   }

   CplexLp::Value CplexLp::_getPrimal(int i) const {

     Value x;

     CPXgetx(cplexEnv(), _prob, &x, i, i);

     return x;

   }

   CplexLp::Value CplexLp::_getDual(int i) const {

     Value y;

     CPXgetpi(cplexEnv(), _prob, &y, i, i);

     return y;

   }

   CplexLp::Value CplexLp::_getPrimalValue() const {

     Value objval;

     CPXgetobjval(cplexEnv(), _prob, &objval);

     return objval;

   }

   CplexLp::VarStatus CplexLp::_getColStatus(int i) const {

     if (_col_status.empty()) {

       _col_status.resize(CPXgetnumcols(cplexEnv(), _prob));

       CPXgetbase(cplexEnv(), _prob, &_col_status.front(), 0);

     }

     switch (_col_status[i]) {

     case CPX_BASIC:

       return BASIC;

     case CPX_FREE_SUPER:

       return FREE;

     case CPX_AT_LOWER:

       return LOWER;

     case CPX_AT_UPPER:

       return UPPER;

     default:

       LEMON_ASSERT(false, "Wrong column status");

       return CplexLp::VarStatus();

     }

   }

   CplexLp::VarStatus CplexLp::_getRowStatus(int i) const {

     if (_row_status.empty()) {

       _row_status.resize(CPXgetnumrows(cplexEnv(), _prob));

       CPXgetbase(cplexEnv(), _prob, 0, &_row_status.front());

     }

     switch (_row_status[i]) {

     case CPX_BASIC:

       return BASIC;

     case CPX_AT_LOWER:

       {

         char s;

         CPXgetsense(cplexEnv(), _prob, &s, i, i);

         return s != 'L' ? LOWER : UPPER;

       }

     case CPX_AT_UPPER:

       return UPPER;

     default:

       LEMON_ASSERT(false, "Wrong row status");

       return CplexLp::VarStatus();

     }

   }

   CplexLp::Value CplexLp::_getPrimalRay(int i) const {

     if (_primal_ray.empty()) {

       _primal_ray.resize(CPXgetnumcols(cplexEnv(), _prob));

       CPXgetray(cplexEnv(), _prob, &_primal_ray.front());

     }

     return _primal_ray[i];

   }

   CplexLp::Value CplexLp::_getDualRay(int i) const {

     if (_dual_ray.empty()) {

     }

     return _dual_ray[i];

   }

   // Cplex 7.0 status values

   // This table lists the statuses, returned by the CPXgetstat()

   // routine, for solutions to LP problems or mixed integer problems. If

   // no solution exists, the return value is zero.

   // For Simplex, Barrier

   // 1          CPX_OPTIMAL

   //          Optimal solution found

   // 2          CPX_INFEASIBLE

   //          Problem infeasible

   // 3    CPX_UNBOUNDED

   //          Problem unbounded

   // 4          CPX_OBJ_LIM

   //          Objective limit exceeded in Phase II

   // 5          CPX_IT_LIM_FEAS

   //          Iteration limit exceeded in Phase II

   // 6          CPX_IT_LIM_INFEAS

   //          Iteration limit exceeded in Phase I

   // 7          CPX_TIME_LIM_FEAS

   //          Time limit exceeded in Phase II

   // 8          CPX_TIME_LIM_INFEAS

   //          Time limit exceeded in Phase I

   // 9          CPX_NUM_BEST_FEAS

   //          Problem non-optimal, singularities in Phase II

   // 10         CPX_NUM_BEST_INFEAS

   //          Problem non-optimal, singularities in Phase I

   // 11         CPX_OPTIMAL_INFEAS

   //          Optimal solution found, unscaled infeasibilities

   // 12         CPX_ABORT_FEAS

   //          Aborted in Phase II

   // 13         CPX_ABORT_INFEAS

   //          Aborted in Phase I

   // 14          CPX_ABORT_DUAL_INFEAS

   //          Aborted in barrier, dual infeasible

   // 15          CPX_ABORT_PRIM_INFEAS

   //          Aborted in barrier, primal infeasible

   // 16          CPX_ABORT_PRIM_DUAL_INFEAS

   //          Aborted in barrier, primal and dual infeasible

   // 17          CPX_ABORT_PRIM_DUAL_FEAS

   //          Aborted in barrier, primal and dual feasible

   // 18          CPX_ABORT_CROSSOVER

   //          Aborted in crossover

   // 19          CPX_INForUNBD

   //          Infeasible or unbounded

   // 20   CPX_PIVOT

   //       User pivot used

   //

   // Pending return values

   // ??case CPX_ABORT_DUAL_INFEAS

   // ??case CPX_ABORT_CROSSOVER

   // ??case CPX_INForUNBD

   // ??case CPX_PIVOT

   //Some more interesting stuff:

   // CPX_PARAM_PROBMETHOD  1062  int  LPMETHOD

   // 0 Automatic

   // 1 Primal Simplex

   // 2 Dual Simplex

   // 3 Network Simplex

   // 4 Standard Barrier

   // Default: 0

   // Description: Method for linear optimization.

   // Determines which algorithm is used when CPXlpopt() (or "optimize"

   // in the Interactive Optimizer) is called. Currently the behavior of

   // the "Automatic" setting is that CPLEX simply invokes the dual

   // simplex method, but this capability may be expanded in the future

   // so that CPLEX chooses the method based on problem characteristics

 #if CPX_VERSION < 900

   void statusSwitch(CPXENVptr cplexEnv(),int& stat){

     int lpmethod;

     CPXgetintparam (cplexEnv(),CPX_PARAM_PROBMETHOD,&lpmethod);

     if (lpmethod==2){

       if (stat==CPX_UNBOUNDED){

         stat=CPX_INFEASIBLE;

       }

       else{

         if (stat==CPX_INFEASIBLE)

           stat=CPX_UNBOUNDED;

       }

     }

   }

 #else

   void statusSwitch(CPXENVptr,int&){}

 #endif

   CplexLp::ProblemType CplexLp::_getPrimalType() const {

     // Unboundedness not treated well: the following is from cplex 9.0 doc

     // About Unboundedness

     // The treatment of models that are unbounded involves a few

     // subtleties. Specifically, a declaration of unboundedness means that

     // ILOG CPLEX has determined that the model has an unbounded

     // ray. Given any feasible solution x with objective z, a multiple of

     // the unbounded ray can be added to x to give a feasible solution

     // with objective z-1 (or z+1 for maximization models). Thus, if a

     // feasible solution exists, then the optimal objective is

     // unbounded. Note that ILOG CPLEX has not necessarily concluded that

     // a feasible solution exists. Users can call the routine CPXsolninfo

     // to determine whether ILOG CPLEX has also concluded that the model

     // has a feasible solution.

     int stat = CPXgetstat(cplexEnv(), _prob);

 #if CPX_VERSION >= 800

     switch (stat)

       {

       case CPX_STAT_OPTIMAL:

         return OPTIMAL;

       case CPX_STAT_UNBOUNDED:

         return UNBOUNDED;

       case CPX_STAT_INFEASIBLE:

         return INFEASIBLE;

       default:

         return UNDEFINED;

       }

 #else

     statusSwitch(cplexEnv(),stat);

     //CPXgetstat(cplexEnv(), _prob);

     switch (stat) {

     case 0:

       return UNDEFINED; //Undefined

     case CPX_OPTIMAL://Optimal

       return OPTIMAL;

     case CPX_UNBOUNDED://Unbounded

       return INFEASIBLE;//In case of dual simplex

       //return UNBOUNDED;

     case CPX_INFEASIBLE://Infeasible

       //    case CPX_IT_LIM_INFEAS:

       //     case CPX_TIME_LIM_INFEAS:

       //     case CPX_NUM_BEST_INFEAS:

       //     case CPX_OPTIMAL_INFEAS:

       //     case CPX_ABORT_INFEAS:

       //     case CPX_ABORT_PRIM_INFEAS:

       //     case CPX_ABORT_PRIM_DUAL_INFEAS:

       return UNBOUNDED;//In case of dual simplex

       //return INFEASIBLE;

       //     case CPX_OBJ_LIM:

       //     case CPX_IT_LIM_FEAS:

       //     case CPX_TIME_LIM_FEAS:

       //     case CPX_NUM_BEST_FEAS:

       //     case CPX_ABORT_FEAS:

       //     case CPX_ABORT_PRIM_DUAL_FEAS:

       //       return FEASIBLE;

     default:

       return UNDEFINED; //Everything else comes here

       //FIXME error

     }

 #endif

   }

   // Cplex 9.0 status values

   // CPX_STAT_ABORT_DUAL_OBJ_LIM

   // CPX_STAT_ABORT_IT_LIM

   // CPX_STAT_ABORT_OBJ_LIM

   // CPX_STAT_ABORT_PRIM_OBJ_LIM

   // CPX_STAT_ABORT_TIME_LIM

   // CPX_STAT_ABORT_USER

   // CPX_STAT_FEASIBLE_RELAXED

   // CPX_STAT_INFEASIBLE

   // CPX_STAT_INForUNBD

   // CPX_STAT_NUM_BEST

   // CPX_STAT_OPTIMAL

   // CPX_STAT_OPTIMAL_FACE_UNBOUNDED

   // CPX_STAT_OPTIMAL_INFEAS

   // CPX_STAT_OPTIMAL_RELAXED

   // CPX_STAT_UNBOUNDED

   CplexLp::ProblemType CplexLp::_getDualType() const {

     int stat = CPXgetstat(cplexEnv(), _prob);

 #if CPX_VERSION >= 800

     switch (stat) {

     case CPX_STAT_OPTIMAL:

       return OPTIMAL;

     case CPX_STAT_UNBOUNDED:

       return INFEASIBLE;

     default:

       return UNDEFINED;

     }

 #else

     statusSwitch(cplexEnv(),stat);

     switch (stat) {

     case 0:

       return UNDEFINED; //Undefined

     case CPX_OPTIMAL://Optimal

       return OPTIMAL;

     case CPX_UNBOUNDED:

       return INFEASIBLE;

     default:

       return UNDEFINED; //Everything else comes here

       //FIXME error

     }

 #endif

   }

   // CplexMip members

   CplexMip::CplexMip()

     : LpBase(), MipSolver(), CplexBase() {

 #if CPX_VERSION < 800

     CPXchgprobtype(cplexEnv(),  _prob, CPXPROB_MIP);

 #else

     CPXchgprobtype(cplexEnv(),  _prob, CPXPROB_MILP);

 #endif

   }

   CplexMip::CplexMip(const CplexEnv& env)

     : LpBase(), MipSolver(), CplexBase(env) {

 #if CPX_VERSION < 800

     CPXchgprobtype(cplexEnv(),  _prob, CPXPROB_MIP);

 #else

     CPXchgprobtype(cplexEnv(),  _prob, CPXPROB_MILP);

 #endif

   }

   CplexMip::CplexMip(const CplexMip& other)

     : LpBase(), MipSolver(), CplexBase(other) {}

   CplexMip::~CplexMip() {}

   CplexMip* CplexMip::newSolver() const { return new CplexMip; }

   CplexMip* CplexMip::cloneSolver() const {return new CplexMip(*this); }

   const char* CplexMip::_solverName() const { return "CplexMip"; }

   void CplexMip::_setColType(int i, CplexMip::ColTypes col_type) {

     // Note If a variable is to be changed to binary, a call to CPXchgbds

     // should also be made to change the bounds to 0 and 1.

     switch (col_type){

     case INTEGER: {

       const char t = 'I';

       CPXchgctype (cplexEnv(), _prob, 1, &i, &t);

     } break;

     case REAL: {

       const char t = 'C';

       CPXchgctype (cplexEnv(), _prob, 1, &i, &t);

     } break;

     default:

       break;

     }

   }

   CplexMip::ColTypes CplexMip::_getColType(int i) const {

     char t;

     CPXgetctype (cplexEnv(), _prob, &t, i, i);

     switch (t) {

     case 'I':

       return INTEGER;

     case 'C':

       return REAL;

     default:

       LEMON_ASSERT(false, "Invalid column type");

       return ColTypes();

     }

   }

   CplexMip::SolveExitStatus CplexMip::_solve() {

     int status;

     _applyMessageLevel();

     status = CPXmipopt (cplexEnv(), _prob);

     if (status==0)

       return SOLVED;

     else

       return UNSOLVED;

   }

   CplexMip::ProblemType CplexMip::_getType() const {

     int stat = CPXgetstat(cplexEnv(), _prob);

     //Fortunately, MIP statuses did not change for cplex 8.0

     switch (stat) {

     case CPXMIP_OPTIMAL:

       // Optimal integer solution has been found.

     case CPXMIP_OPTIMAL_TOL:

       // Optimal soluton with the tolerance defined by epgap or epagap has

       // been found.

       return OPTIMAL;

       //This also exists in later issues

       //    case CPXMIP_UNBOUNDED:

       //return UNBOUNDED;

       case CPXMIP_INFEASIBLE:

         return INFEASIBLE;

     default:

       return UNDEFINED;

     }

     //Unboundedness not treated well: the following is from cplex 9.0 doc

     // About Unboundedness

     // The treatment of models that are unbounded involves a few

     // subtleties. Specifically, a declaration of unboundedness means that

     // ILOG CPLEX has determined that the model has an unbounded

     // ray. Given any feasible solution x with objective z, a multiple of

     // the unbounded ray can be added to x to give a feasible solution

     // with objective z-1 (or z+1 for maximization models). Thus, if a

     // feasible solution exists, then the optimal objective is

     // unbounded. Note that ILOG CPLEX has not necessarily concluded that

     // a feasible solution exists. Users can call the routine CPXsolninfo

     // to determine whether ILOG CPLEX has also concluded that the model

     // has a feasible solution.

   }

   CplexMip::Value CplexMip::_getSol(int i) const {

     Value x;

     CPXgetmipx(cplexEnv(), _prob, &x, i, i);

     return x;

   }

   CplexMip::Value CplexMip::_getSolValue() const {

     Value objval;

     CPXgetmipobjval(cplexEnv(), _prob, &objval);

     return objval;

   }

 } //namespace lemon