/*

     This file is part of Combean.

     Combean is free software; you can redistribute it and/or modify

     it under the terms of the GNU General Public License as published by

     the Free Software Foundation; either version 2 of the License, or

     (at your option) any later version.

     Combean is distributed in the hope that it will be useful,

     but WITHOUT ANY WARRANTY; without even the implied warranty of

     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

     GNU General Public License for more details.

     You should have received a copy of the GNU General Public License

     along with Foobar; if not, write to the Free Software

     Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA

 */

 package net.sourceforge.combean.test.mathprog.grooml;

 import net.sourceforge.combean.mathprog.grooml.GLPModel;

 import net.sourceforge.combean.mathprog.grooml.GVariables;

 import net.sourceforge.combean.mathprog.grooml.GRows;

 import net.sourceforge.combean.mathprog.grooml.GSet;

 class TestGLPModel extends GroovyTestCase {

     private GLPModel lpModel;

     private GVariables lpVars;

     private GRows lpRows;

     private static final double[] coeff = [4.0, 10.0];

     private static final double[] rhs = [2.0, 2.0, 10.0];

     void setUp() {

         this.lpModel = new GLPModel();

         this.lpVars = new GVariables("x", 0..(coeff.length-1), [:]) {

             [coeff[it], 0..Double.POSITIVE_INFINITY]

         }

         this.lpRows = new GRows("row", 0..2, this.lpModel, [:]) {

             ["x[${it % 2}]", "<= ${rhs[it]}"]

         }

     }

         void testAddAndGetVariables() {

             assertEquals(0, this.lpModel.numColumns);

                 this.lpModel.addVariables(this.lpVars);

             assertEquals(coeff.length, this.lpModel.numColumns);

             GVariables vars = this.lpModel.getVariables("x");

             assertEquals(this.lpVars, vars);

         }

         void testAddConstraints() {

             assertEquals(0, this.lpModel.numRows);

                 this.lpModel.addConstraints(this.lpRows);

             assertEquals(rhs.length, this.lpModel.numRows);

         }

         void testAddRows() {

             assertEquals(0, this.lpModel.numRows);

                 this.lpModel.addRows(this.lpRows);

             assertEquals(rhs.length, this.lpModel.numRows);

         }

         void testSummaryString() {

                 this.lpModel.addVariables(this.lpVars);

                 this.lpModel.addRows(this.lpRows);

             assertEquals("""

 vars  x[4.0, 10.0]

 row:

   1.0 x[0] <= 2.0

   1.0 x[1] <= 2.0

   1.0 x[0] <= 10.0

 """, this.lpModel.toSummaryString());

         }

 }