Fillomino Solver in Copris

Table of Contents

Overview

This page presents a Fillomino solver written in Copris, a Constraint Programming DSL (Domain-Specific Language) embedded in Scala. Fillomino is a puzzle game developed by Nikoli.

This Fillomino solver can find a solution of the given Fillomino puzzle.

What's New

  • 2020-12-15 Tue Release of version 2.0
  • 2013-10-13 Sun Release of version 1.1
  • 2013-09-01 Sun First release

Download

Version 2.0

Requirements

  • Scala version 2.12 to be installed
    • Other Scala version is not binary compatible with version 2.12.
  • Copris (included in the package)
  • Sugar (included in the package)
  • Sat4j Core (included in the package)

How to use

scala -cp copris-puzzles-2.0.jar fillomino.Solver input_file_name
  • The format of the input file is explained below.

To check the uniqueness of the solutions, please use "-o multi" option.

scala -cp copris-puzzles-2.0.jar fillomino.Solver -o multi input_file_name

If you have a SAT solver (such as MiniSat, GlueMiniSat) installed on your computer, you can use it to get better performance. Specify the full path of the SAT solver program with "-s1" or "-s2" option.

scala -cp copris-puzzles-2.0.jar fillomino.Solver -o multi -s2 minisat input_file_name

Input file format

The following is an example of input file.

5
5
3 - - 5 -
- 1 - - 2
- 4 - 2 -
4 - - 3 -
- 4 - - 4
  • The first line gives the number of rows.
  • The second line gives the number of columns.
  • Number cells are represented by its number.
  • Blank cells are represented by "-".

Example Usage

$ scala -cp copris-puzzles-2.0.jar fillomino.Solver -v data/001.a.txt
File = data/001.a.txt
Solver = 
Options = 
Rows = 5
Cols = 5
BEGIN_solution = 1
Solution = Vector(Vector(3, 5, 5, 5, 2), Vector(3, 1, 5, 5, 2), Vector(3, 4, 2, 2, 4), Vector(4, 4, 3, 3, 4), Vector(1, 4, 3, 4, 4))
Size = 5
  3  5  5  5  2
  3  1  5  5  2
  3  4  2  2  4
  4  4  3  3  4
  1  4  3  4  4
END_solution = 1
NumOfSolutions >= 1

Performance Evaluation

Solver performance is measured on version 2.0.

  • Copris solver was run on Intel Xeon 3.6Hz machine with:
    • Ubuntu Linux 20.04 (64 bit)
    • Java version "1.8.0_275", OpenJDK Runtime Environment (with "-Xmx2G" option)
    • Scala version 2.12.5
    • Copris version 2.3.1
    • Sugar version 2.3.4
  • GlueMiniSat version 2.2.10 (with preprocessing) is used as a SAT solver.

Finding a solution

Number of instances
Solved within 3600s371
Timeout9
Error (Memory Over etc.)0
Total380
Avg. CPU time68.1
Max. CPU time2645.2

Source Code

The following shows the source code of the solver (Fillomino.scala).

  1:  /*
  2:   * Fillomino Solver in Copris
  3:   * by Naoyuki Tamura
  4:   * http://bach.istc.kobe-u.ac.jp/copris/puzzles/fillomino/
  5:   */
  6:  package fillomino
  7:  
  8:  import jp.kobe_u.copris._
  9:  import jp.kobe_u.copris.dsl._
 10:  import puzzle._
 11:  
 12:  case class Fillomino(m: Int, n: Int, board: Seq[Seq[String]]) extends BoardPuzzle {
 13:    def isBlank(cell: Cell) = at(cell) == "-"
 14:    val maxRegionSize = math.max(20, numberCells.map(num(_)).max)
 15:    def show(sol: Seq[Seq[Int]]) {
 16:      for (i <- 0 until m) {
 17:        for (j <- 0 until n)
 18:          print("%3d".format(sol(i)(j)))
 19:        println
 20:      }
 21:    }
 22:  }
 23:  
 24:  object Solver extends BoardPuzzleSolver[Fillomino] {
 25:    import scala.math.Ordering.Implicits._
 26:  
 27:    val name = "fillomino.Solver"
 28:    var badPairOfRegions: Set[(Set[Cell],Set[Cell])] = _
 29:  
 30:    def puzzleFactory(m: Int, n: Int, board: Seq[Seq[String]]) =
 31:      Fillomino(m, n, board)
 32:  
 33:    def define = {
 34:      // Numbers
 35:      for (cell <- puzzle.cells)
 36:        if (puzzle.isNumber(cell))
 37:          int('x(cell), puzzle.num(cell))
 38:        else
 39:          int('x(cell), 1, puzzle.maxRegionSize)
 40:      // Construct each region as a spanning tree
 41:      for (cell <- puzzle.cells; cell1 <- puzzle.adjCells(cell))
 42:        int('e(cell,cell1), 0, 1)
 43:      for (cell <- puzzle.cells; cell1 <- puzzle.adjCells(cell); if cell < cell1)
 44:        add('e(cell,cell1) + 'e(cell1,cell) <= 1)
 45:      for (cell <- puzzle.cells) {
 46:        val in = puzzle.adjCells(cell).map(cell1 => 'e(cell1,cell))
 47:        int('in(cell), 0, 1)
 48:        add('in(cell) === Add(in))
 49:      }
 50:      // Each region consists of the same number cells
 51:      for (cell <- puzzle.cells; cell1 <- puzzle.adjCells(cell); if cell < cell1)
 52:        add((('e(cell,cell1) === 1) || ('e(cell1,cell) === 1)) ==>
 53:            ('x(cell) === 'x(cell1)))
 54:      // Size of each region should be equal to the number
 55:      for (cell <- puzzle.cells)
 56:        int('s(cell), 1, puzzle.maxRegionSize)
 57:      for (cell <- puzzle.cells) {
 58:        val s = for (cell1 <- puzzle.adjCells(cell))
 59:                yield If('e(cell,cell1) === 0, Num(0), 's(cell1))
 60:        add('s(cell) === Add(s) + 1)
 61:        add(('in(cell) === 0) ==> ('s(cell) === 'x(cell)))
 62:      }
 63:    }
 64:  
 65:    def checkSolution: Boolean = {
 66:      val nodes = puzzle.cells.toSet
 67:      def adjs(cell: Cell) = puzzle.adjCells(cell).toSet.filter {
 68:        cell1 => solution('e(cell,cell1)) > 0 || solution('e(cell1,cell)) > 0
 69:      }
 70:      val arcs = (for (cell <- puzzle.cells) yield cell -> adjs(cell)).toMap
 71:      val components = getComponents(nodes, arcs)
 72:      def bad(r1: Set[Cell], r2: Set[Cell]) =
 73:        r1.exists(cell1 => puzzle.adjCells(cell1).exists(cell2 => r2.contains(cell2)))
 74:      badPairOfRegions = for {
 75:        (size,regions) <- components.groupBy(_.size).toSet
 76:        Seq(r1,r2) <- regions.toSeq.combinations(2); if bad(r1, r2)
 77:      } yield (r1,r2)
 78:      if (verbose >= 2)
 79:        println("badPairOfRegions = " + badPairOfRegions.size)
 80:      badPairOfRegions.isEmpty
 81:    }
 82:    def addNegation {
 83:      if (badPairOfRegions.isEmpty) {
 84:        val cs = for (cell <- puzzle.cells; if ! puzzle.isNumber(cell))
 85:                 yield 'x(cell) =/= solution('x(cell))
 86:        add(Or(cs))
 87:      } else {
 88:        for ((r1,r2) <- badPairOfRegions) {
 89:          val cs = for (cell <- r1 ++ r2; if ! puzzle.isNumber(cell))
 90:                   yield 'x(cell) =/= solution('x(cell))
 91:          add(Or(cs))
 92:        }
 93:      }
 94:    }
 95:    override def findFirstSolution = findIncremental(true, checkSolution, addNegation)
 96:    override def findNextSolution = findIncremental(false, checkSolution, addNegation)
 97:  
 98:    def showSolution {
 99:      val sol = for (i <- 0 until puzzle.m)
100:                yield (0 until puzzle.n).map(j => solution('x((i,j))))
101:      if (quiet == 0) {
102:        println("Solution = " + sol)
103:        println("Size = " + sol.size)
104:        puzzle.show(sol)
105:      }
106:    }
107:  }
  • It should be compiled with ../build/PuzzleSolver.scala.
  • We assume the maximum size of polyomions not appeared as hints does not exceed 20.

License

This software is distributed under the BSD 3-Clause License. See LICENSE.

Links

Date: 2020-12-18 23:55:52 JST

Author: Naoyuki Tamura

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