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

  *

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

  *

  * Copyright (C) 2003-2009

  * 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 "test_tools.h"

 #include <lemon/config.h>

 #ifdef LEMON_HAVE_CPLEX

 #include <lemon/cplex.h>

 #endif

 #ifdef LEMON_HAVE_GLPK

 #include <lemon/glpk.h>

 #endif

 #ifdef LEMON_HAVE_CBC

 #include <lemon/cbc.h>

 #endif

 using namespace lemon;

 void solveAndCheck(MipSolver& mip, MipSolver::ProblemType stat,

                    double exp_opt) {

   using std::string;

   mip.solve();

   //int decimal,sign;

   std::ostringstream buf;

   buf << "Type should be: " << int(stat)<<" and it is "<<int(mip.type());

   //  itoa(stat,buf1, 10);

   check(mip.type()==stat, buf.str());

   if (stat ==  MipSolver::OPTIMAL) {

     std::ostringstream sbuf;

     buf << "Wrong optimal value: the right optimum is " << exp_opt;

     check(std::abs(mip.solValue()-exp_opt) < 1e-3, sbuf.str());

     //+ecvt(exp_opt,2)

   }

 }

 void aTest(MipSolver& mip)

 {

   //The following example is very simple

   typedef MipSolver::Row Row;

   typedef MipSolver::Col Col;

   Col x1 = mip.addCol();

   Col x2 = mip.addCol();

   //Objective function

   mip.obj(x1);

   mip.max();

   //Unconstrained optimization

   mip.solve();

   //Check it out!

   //Constraints

   mip.addRow(2 * x1 + x2 <= 2);

   Row y2 = mip.addRow(x1 - 2 * x2 <= 0);

   //Nonnegativity of the variable x1

   mip.colLowerBound(x1, 0);

   //Maximization of x1

   //over the triangle with vertices (0,0),(4/5,2/5),(0,2)

   double expected_opt=4.0/5.0;

   solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);

   //Restrict x2 to integer

   mip.colType(x2,MipSolver::INTEGER);

   expected_opt=1.0/2.0;

   solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);

   //Restrict both to integer

   mip.colType(x1,MipSolver::INTEGER);

   expected_opt=0;

   solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);

   //Erase a variable

   mip.erase(x2);

   mip.rowUpperBound(y2, 8);

   expected_opt=1;

   solveAndCheck(mip, MipSolver::OPTIMAL, expected_opt);

 }

 template<class MIP>

 void cloneTest()

 {

   MIP* mip = new MIP();

   MIP* mipnew = mip->newSolver();

   MIP* mipclone = mip->cloneSolver();

   delete mip;

   delete mipnew;

   delete mipclone;

 }

 int main()

 {

 #ifdef LEMON_HAVE_GLPK

   {

     GlpkMip mip1;

     aTest(mip1);

     cloneTest<GlpkMip>();

   }

 #endif

 #ifdef LEMON_HAVE_CPLEX

   try {

     CplexMip mip2;

     aTest(mip2);

     cloneTest<CplexMip>();

   } catch (CplexEnv::LicenseError& error) {

     check(false, error.what());

   }

 #endif

 #ifdef LEMON_HAVE_CBC

   {

     CbcMip mip1;

     aTest(mip1);

     cloneTest<CbcMip>();

   }

 #endif

   return 0;

 }