Files
ortools-clone/examples/contrib/futoshiki.cs
2020-11-03 10:15:53 +01:00

166 lines
5.1 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 Futoshiki
{
/**
*
* Futoshiki problem.
*
* From http://en.wikipedia.org/wiki/Futoshiki
* """
* The puzzle is played on a square grid, such as 5 x 5. The objective
* is to place the numbers 1 to 5 (or whatever the dimensions are)
* such that each row, and column contains each of the digits 1 to 5.
* Some digits may be given at the start. In addition, inequality
* constraints are also initially specifed between some of the squares,
* such that one must be higher or lower than its neighbour. These
* constraints must be honoured as the grid is filled out.
* """
*
* Also see http://www.hakank.org/or-tools/futoshiki.py
*
*/
private static void Solve(int[,] values, int[,] lt)
{
Solver solver = new Solver("Futoshiki");
int size = values.GetLength(0);
IEnumerable<int> RANGE = Enumerable.Range(0, size);
IEnumerable<int> NUMQD = Enumerable.Range(0, lt.GetLength(0));
//
// Decision variables
//
IntVar[,] field = solver.MakeIntVarMatrix(size, size, 1, size, "field");
IntVar[] field_flat = field.Flatten();
//
// Constraints
//
// set initial values
foreach (int row in RANGE)
{
foreach (int col in RANGE)
{
if (values[row, col] > 0)
{
solver.Add(field[row, col] == values[row, col]);
}
}
}
// all rows have to be different
foreach (int row in RANGE)
{
solver.Add((from col in RANGE select field[row, col]).ToArray().AllDifferent());
}
// all columns have to be different
foreach (int col in RANGE)
{
solver.Add((from row in RANGE select field[row, col]).ToArray().AllDifferent());
}
// all < constraints are satisfied
// Also: make 0-based
foreach (int i in NUMQD)
{
solver.Add(field[lt[i, 0] - 1, lt[i, 1] - 1] < field[lt[i, 2] - 1, lt[i, 3] - 1]);
}
//
// Search
//
DecisionBuilder db = solver.MakePhase(field_flat, Solver.CHOOSE_FIRST_UNBOUND, Solver.ASSIGN_MIN_VALUE);
solver.NewSearch(db);
while (solver.NextSolution())
{
foreach (int i in RANGE)
{
foreach (int j in RANGE)
{
Console.Write("{0} ", field[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)
{
//
// Example from Tailor model futoshiki.param/futoshiki.param
// Solution:
// 5 1 3 2 4
// 1 4 2 5 3
// 2 3 1 4 5
// 3 5 4 1 2
// 4 2 5 3 1
//
// Futoshiki instance, by Andras Salamon
// specify the numbers in the grid
//
int[,] values1 = {
{ 0, 0, 3, 2, 0 }, { 0, 0, 0, 0, 0 }, { 0, 0, 0, 0, 0 }, { 0, 0, 0, 0, 0 }, { 0, 0, 0, 0, 0 }
};
// [i1,j1, i2,j2] requires that values[i1,j1] < values[i2,j2]
// Note: 1-based
int[,] lt1 = { { 1, 2, 1, 1 }, { 1, 4, 1, 5 }, { 2, 3, 1, 3 }, { 3, 3, 2, 3 }, { 3, 4, 2, 4 }, { 2, 5, 3, 5 },
{ 3, 2, 4, 2 }, { 4, 4, 4, 3 }, { 5, 2, 5, 1 }, { 5, 4, 5, 3 }, { 5, 5, 4, 5 } };
//
// Example from http://en.wikipedia.org/wiki/Futoshiki
// Solution:
// 5 4 3 2 1
// 4 3 1 5 2
// 2 1 4 3 5
// 3 5 2 1 4
// 1 2 5 4 3
//
int[,] values2 = {
{ 0, 0, 0, 0, 0 }, { 4, 0, 0, 0, 2 }, { 0, 0, 4, 0, 0 }, { 0, 0, 0, 0, 4 }, { 0, 0, 0, 0, 0 }
};
// Note: 1-based
int[,] lt2 = { { 1, 2, 1, 1 }, { 1, 4, 1, 3 }, { 1, 5, 1, 4 }, { 4, 4, 4, 5 }, { 5, 1, 5, 2 }, { 5, 2, 5, 3 } };
Console.WriteLine("Problem 1");
Solve(values1, lt1);
Console.WriteLine("\nProblem 2");
Solve(values2, lt2);
}
}