discrete_tomography.cs 4.97 KB
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//
// 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.IO;
using System.Linq;
using System.Text.RegularExpressions;
using Google.OrTools.ConstraintSolver;

public class DiscreteTomography
{

  // default problem
  static int[] default_rowsums = {0,0,8,2,6,4,5,3,7,0,0};
  static int[] default_colsums = {0,0,7,1,6,3,4,5,2,7,0,0};

  static int[] rowsums2;
  static int[] colsums2;


  /**
   *
   * Discrete tomography
   * 
   * Problem from http://eclipse.crosscoreop.com/examples/tomo.ecl.txt
   * """
   * This is a little 'tomography' problem, taken from an old issue
   * of Scientific American.
   * 
   * A matrix which contains zeroes and ones gets "x-rayed" vertically and
   * horizontally, giving the total number of ones in each row and column.
   * The problem is to reconstruct the contents of the matrix from this
   * information. Sample run:
   * 
   * ?- go.
   *    0 0 7 1 6 3 4 5 2 7 0 0
   * 0
   * 0
   * 8      * * * * * * * *
   * 2      *             *
   * 6      *   * * * *   *
   * 4      *   *     *   *
   * 5      *   *   * *   *
   * 3      *   *         *
   * 7      *   * * * * * *
   * 0
   * 0
   *
   * Eclipse solution by Joachim Schimpf, IC-Parc
   * """
   *
   * See  http://www.hakank.org/or-tools/discrete_tomography.py
   *
   */
  private static void Solve(int[] rowsums, int[] colsums)
  {

    Solver solver = new Solver("DiscreteTomography");

    //
    // Data
    //
    int r = rowsums.Length;
    int c = colsums.Length;

    Console.Write("rowsums: ");
    for(int i = 0; i < r; i++) {
      Console.Write(rowsums[i] + " ");
    }
    Console.Write("\ncolsums: ");
    for(int j = 0; j < c; j++) {
      Console.Write(colsums[j] + " ");
    }
    Console.WriteLine("\n");


    //
    // Decision variables
    //
    IntVar[,] x = solver.MakeIntVarMatrix(r, c, 0, 1, "x");
    IntVar[] x_flat = x.Flatten();


    //
    // Constraints
    //

    // row sums
    for(int i = 0; i < r; i++) {
      var tmp = from j in Enumerable.Range(0, c) select x[i,j];
      solver.Add(tmp.ToArray().Sum() == rowsums[i]);
    }

    // cols sums
    for(int j = 0; j < c; j++) {
      var tmp = from i in Enumerable.Range(0, r) select x[i,j];
      solver.Add(tmp.ToArray().Sum() == colsums[j]);
    }


    //
    // Search
    //
    DecisionBuilder db = solver.MakePhase(x_flat,
                                          Solver.CHOOSE_FIRST_UNBOUND,
                                          Solver.ASSIGN_MIN_VALUE);


    solver.NewSearch(db);

    while (solver.NextSolution()) {
      for(int i = 0; i < r; i++) {
        for(int j = 0; j < c; j++) {
          Console.Write("{0} ", x[i,j].Value() == 1 ? "#" : "." );
        }
        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();

  }


  /**
   *
   * Reads a discrete tomography file.
   * File format:
   *  # a comment which is ignored
   *  % a comment which also is ignored
   *  rowsums separated by [,\s]
   *  colsums separated by [,\s]
   * 
   * e.g.
   * """
   * 0,0,8,2,6,4,5,3,7,0,0
   * 0,0,7,1,6,3,4,5,2,7,0,0
   * # comment
   * % another comment
   * """
   *
   */
  private static void readFile(String file) {

    Console.WriteLine("readFile(" + file + ")");
        
    TextReader inr = new StreamReader(file);
    String str;
    int lineCount = 0;
    while ((str = inr.ReadLine()) != null && str.Length > 0) {    
      str = str.Trim();
     
      // ignore comments
      if(str.StartsWith("#") || str.StartsWith("%")) {
        continue;
      }

      if (lineCount == 0) {
        rowsums2 = ConvLine(str);
      } else if (lineCount == 1) {
        colsums2 = ConvLine(str);
        break;
      }
       
      lineCount++;
     
    } // end while
    
    inr.Close();
    
  } // end readFile


  private static int[] ConvLine(String str) {
    String[] tmp = Regex.Split(str, "[,\\s]+");
    int len = tmp.Length;
    int[] sums = new int[len];
    for(int i = 0; i < len; i++) {
      sums[i] = Convert.ToInt32(tmp[i]);
    }
    
    return sums;

  }

  public static void Main(String[] args)
  {

    if(args.Length > 0) {
      readFile(args[0]);
      Solve(rowsums2, colsums2);
    } else {
      Solve(default_rowsums, default_colsums);
    }

  }
}