Files
ortools-clone/examples/csharp/magic_square_and_cards.cs
2012-03-28 14:23:23 +00:00

132 lines
3.2 KiB
C#

//
// Copyright 2012 Hakan Kjellerstrand
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using Google.OrTools.ConstraintSolver;
public class MagicSquareAndCards
{
/**
*
* Magic squares and cards problem.
*
* Martin Gardner (July 1971)
* """
* Allowing duplicates values, what is the largest constant sum for an order-3
* magic square that can be formed with nine cards from the deck.
* """
*
*
* Also see http://www.hakank.org/or-tools/magic_square_and_cards.py
*
*/
private static void Solve(int n=3)
{
Solver solver = new Solver("MagicSquareAndCards");
IEnumerable<int> RANGE = Enumerable.Range(0, n);
//
// Decision variables
//
IntVar[,] x = solver.MakeIntVarMatrix(n, n, 1, 13, "x");
IntVar[] x_flat = x.Flatten();
IntVar s = solver.MakeIntVar(1, 13*4, "s");
IntVar[] counts = solver.MakeIntVarArray(14, 0, 4, "counts");
//
// Constraints
//
solver.Add(x_flat.Distribute(counts));
// the standard magic square constraints (sans all_different)
foreach(int i in RANGE) {
// rows
solver.Add( (from j in RANGE select x[i,j]).ToArray().Sum() == s);
// columns
solver.Add( (from j in RANGE select x[j,i]).ToArray().Sum() == s);
}
// diagonals
solver.Add( (from i in RANGE select x[i,i]).ToArray().Sum() == s);
solver.Add( (from i in RANGE select x[i,n-i-1]).ToArray().Sum() == s);
// redundant constraint
solver.Add(counts.Sum() == n*n);
//
// Objective
//
OptimizeVar obj = s.Maximize(1);
//
// Search
//
DecisionBuilder db = solver.MakePhase(x_flat,
Solver.CHOOSE_FIRST_UNBOUND,
Solver.ASSIGN_MAX_VALUE);
solver.NewSearch(db, obj);
while (solver.NextSolution()) {
Console.WriteLine("s: {0}", s.Value());
Console.Write("counts:");
for(int i = 0; i < 14; i++) {
Console.Write(counts[i].Value() + " ");
}
Console.WriteLine();
for(int i = 0; i < n; i++) {
for(int j = 0; j < n; j++) {
Console.Write(x[i,j].Value() + " ");
}
Console.WriteLine();
}
Console.WriteLine();
}
Console.WriteLine("\nSolutions: {0}", solver.Solutions());
Console.WriteLine("WallTime: {0}ms", solver.WallTime());
Console.WriteLine("Failures: {0}", solver.Failures());
Console.WriteLine("Branches: {0} ", solver.Branches());
solver.EndSearch();
}
public static void Main(String[] args)
{
int n = 3;
if (args.Length > 0) {
n = Convert.ToInt32(args[0]);
}
Solve(n);
}
}