public bool Resolve(GrilleSudoku s) // La fonction solve va pemettre de choisir la solution valide satsifaisant les contraintes de sodoku
{
for (int ligne = 0; ligne < Size; ligne++) // parcourt les lignes
{
for (int col = 0; col < Size; col++) // parcourt les colonnes
{
// Ce double for parcourt chaque colonne pour une ligne donnée
if (s.GetCellule(ligne, col) == 0) // empty: si la cellule est vide alors on va rentrer dans la boucle for
{
for (int value = 1; value <= 9; value++) // qui va tester les valeur de 1 à 9
{
if (IsValid(s, ligne, col, value)) // Si la valeur est valide avec les conditions de validité qu'on va définirapres dans le code
{
s.SetCell(ligne, col, value); // Alors on remplie la case vide avec la valeur valide
if (Resolve(s)) // Et on appelle la fonction elle-meme pour la récursivité : Principe de backtracking
{
return(true); // On on valide la solution
}
else
{
s.SetCell(ligne, col, 0); // Sinon on réinitialise la valeur à 0
}
}
}
return(false); // On refait le même processus
}
}
}
return(true); // Jusqu'à ce qu'on trouve une solution valide et on la garde
}
public void AC3(GrilleSudoku s, List <List <int> > possibilites)
{
bool test = true;
int CaseCheck;
while (test)
{
test = false;
for (int i = 0; i < 81; i++)
{
if (possibilites[i].Count == 1 && possibilites[i][0] != 10)
{
test = true;
}
}
if (test == true)
{
CaseCheck = getNextMRV(possibilites);
//AC3 ETAPE : 1
//Nb Possibilites = 1
if (possibilites[CaseCheck].Count == 1)
{
s.SetCell(CaseCheck / 9, CaseCheck % 9, possibilites[CaseCheck][0]);
DeletePossibilites(s, possibilites, CaseCheck, possibilites[CaseCheck][0]);
}
}
}
}
public void assign(GrilleSudoku s, int cell, int value, List <int> assignment, List <List <int> > possibilites, List <List <int> > pruned)
{
assignment.Add(cell);
s.SetCell(cell / 9, cell % 9, value);
if (possibilites[cell].Contains(value))
{
possibilites[cell].Remove(value);
}
if (!pruned[cell].Contains(value))
{
pruned[cell].Add(value);
}
if (possibilites[cell].Count == 0)
{
possibilites[cell].Add(10);
}
// supp la Valeur des Possibilités des Voisins de la Cellule
foreach (int neighboor_value in Cell_Neighboor(s, cell))
{
if (possibilites[neighboor_value].Contains(value))
{
possibilites[neighboor_value].Remove(value);
}
if (!pruned[neighboor_value].Contains(value))
{
pruned[neighboor_value].Add(value);
}
}
}
public void Solve(GrilleSudoku s)
{
List <List <int> > list_cell = new List <List <int> >();
foreach (var i in System.Linq.Enumerable.Range(0, 9))
{
var ligne = new List <int>(9);
list_cell.Add(ligne);
foreach (var j in System.Linq.Enumerable.Range(0, 9))
{
ligne.Add(s.GetCellule(j, i));
}
}
var monTableau = list_cell.Select(l => l.ToArray()).ToArray();
var monPuzzle = new Puzzle(monTableau, false);
var monSolver = new Solver(monPuzzle);
monSolver.DoWork(this, new System.ComponentModel.DoWorkEventArgs(null));
foreach (var i in System.Linq.Enumerable.Range(0, 9))
{
foreach (var j in System.Linq.Enumerable.Range(0, 9))
{
s.SetCell(i, j, monPuzzle.Rows[i][j].Value);
}
}
}
public void Solve(GrilleSudoku grid)
{
Sud = new Sudoku(grid);
s.sudoku = Sud;
s.Solve();
Sud = s.sudoku;
for (int i = 0; i < 9; i++)
{
for (int j = 0; j < 9; j++)
{
grid.SetCell(i, j, Sud.getCaseSudoku(i, j));
}
}
}
public void Solve(GrilleSudoku s)
{
var game = String.Concat(s.Cellules.Select(c => (c == 0) ? "." : c.ToString()));
var solution = LinqSudokuSolver.search(LinqSudokuSolver.parse_grid(game));
foreach (var r in Enumerable.Range(0, 9))
{
foreach (var c in Enumerable.Range(0, 9))
{
var cellules = Int32.Parse(solution[LinqSudokuSolver.rows[r].ToString() + LinqSudokuSolver.cols[c].ToString()]);
s.SetCell(r, c, cellules);
}
}
}
public void Solve(GrilleSudoku s)
{
string game = string.Concat(s.Cellules.Select(c => (c == 0) ? "." : c.ToString()));
Dictionary <string, string> solution = LinqSudokuSolver.Search(LinqSudokuSolver.Parse_grid(game));
for (int r = 0; r < cellIndices.Count(); r++)
{
for (int c = 0; c < cellIndices.Count(); c++)
{
var cellules = Int32.Parse(solution[LinqSudokuSolver.Rows[r].ToString() + LinqSudokuSolver.Cols[c].ToString()]);
s.SetCell(r, c, cellules);
}
}
}
public void unassign(GrilleSudoku s, int cell, List <int> assignment, List <List <int> > possibilites, List <List <int> > pruned)
{
int val_cell = s.GetCellule(cell / 9, cell % 9);
if (assignment.Contains(cell))
{
if (!possibilites[cell].Contains(val_cell))
{
possibilites[cell].Add(val_cell);
}
if (possibilites[cell].Contains(10))
{
possibilites[cell].Remove(10);
}
assignment.Remove(cell);
s.SetCell(cell / 9, cell % 9, 0);
List <int> l = new List <int>();
pruned[cell] = l;
foreach (int neighboor_value in Cell_Neighboor(s, cell))
{
List <int> r = new List <int>();
if (!possibilites[neighboor_value].Contains(val_cell))
{
if (Is_present(s, possibilites, val_cell, neighboor_value))
{
possibilites[neighboor_value].Add(val_cell);
//Console.WriteLine("Voisin : {0} Re add dans poss : {1}", neighboor_value, val_cell);
}
}
if (pruned[neighboor_value].Contains(val_cell))
{
pruned[neighboor_value].Remove(val_cell);
}
}
}
else
{
Console.WriteLine("ERROOR 265 : UNSIGN A NON SIGN");
}
}
public void Solve(GrilleSudoku s)
{
var substExprs = new List <Expr>();
var substVals = new List <Expr>();
for (int i = 0; i < 9; i++)
{
for (int j = 0; j < 9; j++)
{
if (s.GetCellule(i, j) != 0)
{
substExprs.Add(X[i][j]);
substVals.Add(z3Context.MkInt(s.GetCellule(i, j)));
}
}
}
BoolExpr instance_c = (BoolExpr)GenericContraints.Substitute(substExprs.ToArray(), substVals.ToArray());
var z3Solver = GetSolver();
z3Solver.Assert(instance_c);
if (z3Solver.Check() == Status.SATISFIABLE)
{
Model m = z3Solver.Model;
for (int i = 0; i < 9; i++)
{
for (int j = 0; j < 9; j++)
{
if (s.GetCellule(i, j) == 0)
{
s.SetCell(i, j, ((IntNum)m.Evaluate(X[i][j])).Int);
}
}
}
}
else
{
Console.WriteLine("Failed to solve sudoku");
}
}
private static void SolutionToGrid(GrilleSudoku sudoku, IReadOnlyList <Tuple <int, int, int, bool> > internalRows, Solution solution)
{
var rowStrings = solution.RowIndexes
.Select(rowIndex => internalRows[rowIndex])
.OrderBy(t => t.Item1)
.ThenBy(t => t.Item2)
.GroupBy(t => t.Item1, t => t.Item3)
.Select(value => string.Concat(value))
.ToImmutableList();
String w = rowStrings.ItemRef(0);
for (int a = 1; a <= 8; a++)
{
w = w + rowStrings.ItemRef(a);
}
for (int a = 1; a <= 162; a++)
{
if (a % 2 == 1)
{
w = w.Insert(a, " ");
}
}
String[] Sub = w.Split(' ');
int cpt = 0;
for (int i = 0; i <= 8; i++)
{
for (int j = 0; j <= 8; j++)
{
sudoku.SetCell(i, j, int.Parse(Sub[cpt]));
cpt = cpt + 1;
}
}
// Console.WriteLine(sudoku.ToString());
}
public void Solve(GrilleSudoku s)
{
int[][] sJaggedTableau = Enumerable.Range(0, 9).Select(i => Enumerable.Range(0, 9).Select(j => s.GetCellule(i, j)).ToArray()).ToArray();
var sTableau = To2D(sJaggedTableau);
Program.estValide(sTableau, 0);
Enumerable.Range(0, 9).ToList().ForEach(i => Enumerable.Range(0, 9).ToList().ForEach(j => s.SetCell(i, j, sTableau[i, j])));
}
//NOUVEAU CODE
public void Solve2(GrilleSudoku s)
{
bool solved = false;
bool full = false; // If this is true after a segment, the puzzle is solved and we can break
bool deadEnd = false;
List <List <int> > list_cell = new List <List <int> >();
foreach (var i in System.Linq.Enumerable.Range(0, 9))
{
var ligne = new List <int>(9);
list_cell.Add(ligne);
foreach (var j in System.Linq.Enumerable.Range(0, 9))
{
ligne.Add(s.GetCellule(j, i));
}
}
var monTableau = list_cell.Select(l => l.ToArray()).ToArray();
var monPuzzle = new Puzzle(monTableau, false);
var monSolver = new Solver(monPuzzle);
//monSolver.DoWork(this, new System.ComponentModel.DoWorkEventArgs(null));
List <Cell> allCells = null;
Stack <BackTrackingState> exploredCellValues = null;
monPuzzle.RefreshCandidates();
do
{
deadEnd = false;
// First we do human inference
do
{
full = true;
bool changed = false;
// Check for naked singles or a completed puzzle
for (int x = 0; x < 9; x++)
{
for (int y = 0; y < 9; y++)
{
Cell cell = monPuzzle[x, y];
if (cell.Value == 0)
{
full = false;
// Check for naked singles
int[] a = cell.Candidates.ToArray(); // Copy
if (a.Length == 1)
{
cell.Set(a[0]);
changed = true;
}
}
}
}
// Solved or failed to solve
if (full || (!changed && !monSolver.RunTechnique()))
{
break;
}
} while (true);
full = monPuzzle.Rows.All(row => row.All(c => c.Value != 0));
//full = s.SetCell(x, y, monPuzzle.Rows[x][y].Value);
// If puzzle isn't full, we do exploration
if (!full)
{
// Les Sudokus les plus difficiles ne peuvent pas être résolus avec un stylo bille, c'est à dire en inférence pure.
// Il va falloir lacher le stylo bille et prendre le crayon à papier et la gomme pour commencer une exploration fondée sur des hypothèses avec possible retour en arrière
if (allCells == null)
{
allCells = monPuzzle.Rows.SelectMany((row, rowIdx) => row).ToList();
exploredCellValues = new Stack <BackTrackingState>();
}
//puzzle.RefreshCandidates();
// Pour accélérer l'exploration et éviter de traverser la feuille en gommant trop souvent, on va utiliser les heuristiques des problèmes à satisfaction de contraintes
// cf. les slides et le problème du "coffre de voiture" abordé en cours
//heuristique MRV
var minCandidates = allCells.Min(cell => cell.Candidates.Count > 0 ? cell.Candidates.Count : int.MaxValue);
if (minCandidates != int.MaxValue)
{
// Utilisation de l'heuristique Deg: de celles qui ont le moins de candidats à égalité, on choisi celle la plus contraignante, celle qui a le plus de voisins (on pourrait faire mieux avec le nombre de candidats en commun avec ses voisins)
var candidateCells = allCells.Where(cell => cell.Candidates.Count == minCandidates);
//var degrees = candidateCells.Select(candidateCell => new {Cell = candidateCell, Degree = candidateCell.GetCellsVisible().Aggregate(0, (sum, neighbour) => sum + neighbour.Candidates.Count) });
var degrees = candidateCells.Select(candidateCell => new { Cell = candidateCell, Degree = candidateCell.GetCellsVisible().Count(c => c.Value == 0) }).ToList();
//var targetCell = list_cell.First(cell => cell.Candidates.Count == minCandidates);
var maxDegree = degrees.Max(deg1 => deg1.Degree);
var targetCell = degrees.First(deg => deg.Degree == maxDegree).Cell;
//dernière exploration pour ne pas se mélanger les pinceaux
BackTrackingState currentlyExploredCellValues;
if (exploredCellValues.Count == 0 || !exploredCellValues.Peek().Cell.Equals(targetCell))
{
currentlyExploredCellValues = new BackTrackingState()
{
Board = monPuzzle.GetBoard(), Cell = targetCell, ExploredValues = new List <int>()
};
exploredCellValues.Push(currentlyExploredCellValues);
}
else
{
currentlyExploredCellValues = exploredCellValues.Peek();
}
//utilisation de l'heuristique LCV: on choisi la valeur la moins contraignante pour les voisins
var candidateValues = targetCell.Candidates.Where(i => !currentlyExploredCellValues.ExploredValues.Contains(i));
var neighbourood = targetCell.GetCellsVisible();
var valueConstraints = candidateValues.Select(v => new
{
Value = v,
ContraintNb = neighbourood.Count(neighboor => neighboor.Candidates.Contains(v))
}).ToList();
var minContraints = valueConstraints.Min(vc => vc.ContraintNb);
var exploredValue = valueConstraints.First(vc => vc.ContraintNb == minContraints).Value;
currentlyExploredCellValues.ExploredValues.Add(exploredValue);
targetCell.Set(exploredValue);
//targetCell.Set(exploredValue, true);
}
else
{
//Plus de candidats possibles, on atteint un cul-de-sac
if (monPuzzle.IsValid())
{
solved = true;
}
else
{
deadEnd = true;
}
//deadEnd = true;
}
}
else
{
//If puzzle is full, it's either solved or a deadend
if (monPuzzle.IsValid())
{
solved = true;
}
else
{
deadEnd = true;
}
}
if (deadEnd)
{
//On se retrouve bloqué, il faut gommer et tenter d'autres hypothèses
BackTrackingState currentlyExploredCellValues = exploredCellValues.Peek();
//On annule la dernière assignation
currentlyExploredCellValues.Backtrack(monPuzzle);
var targetCell = currentlyExploredCellValues.Cell;
//targetCell.Set(0, true);
while (targetCell.Candidates.All(i => currentlyExploredCellValues.ExploredValues.Contains(i)))
{
//on a testé toutes les valeurs possibles, On est à un cul de sac, il faut revenir en arrière
exploredCellValues.Pop();
if (exploredCellValues.Count == 0)
{
Debug.WriteLine("bug in the algorithm techniques humaines");
}
currentlyExploredCellValues = exploredCellValues.Peek();
//On annule la dernière assignation
currentlyExploredCellValues.Backtrack(monPuzzle);
targetCell = currentlyExploredCellValues.Cell;
//targetCell.Set(0, true);
}
// D'autres valeurs sont possible pour la cellule courante, on les tente
//utilisation de l'heuristique LCV
var candidateValues = targetCell.Candidates.Where(i => !currentlyExploredCellValues.ExploredValues.Contains(i));
var neighbourood = targetCell.GetCellsVisible();
var valueConstraints = candidateValues.Select(v => new
{
Value = v,
ContraintNb = neighbourood.Count(neighboor => neighboor.Candidates.Contains(v))
}).ToList();
var minContraints = valueConstraints.Min(vc => vc.ContraintNb);
var exploredValue = valueConstraints.First(vc => vc.ContraintNb == minContraints).Value;
currentlyExploredCellValues.ExploredValues.Add(exploredValue);
targetCell.Set(exploredValue);
}
} while (!solved);
foreach (var i in System.Linq.Enumerable.Range(0, 9))
{
foreach (var j in System.Linq.Enumerable.Range(0, 9))
{
s.SetCell(i, j, monPuzzle.Rows[i][j].Value);
}
}
}
public void Solve(GrilleSudoku s)
{
//Création d'un solver Or-tools
Solver solver = new Solver("Sudoku");
//Création de la grille de variables
//Variables de décision
IntVar[,] grid = solver.MakeIntVarMatrix(9, 9, 1, 9, "grid"); //VERIFIER
IntVar[] grid_flat = grid.Flatten(); //VERIFIER
//Masque de résolution
for (int i = 0; i < cellIndices.Count(); i++)
{
for (int j = 0; j < cellIndices.Count(); j++)
{
if (s.GetCellule(i, j) > 0)
{
solver.Add(grid[i, j] == s.GetCellule(i, j));
}
}
}
//Un chiffre ne figure qu'une seule fois par ligne/colonne/cellule
for (int i = 0; i < cellIndices.Count(); i++)
{
// Lignes
solver.Add((from j in cellIndices
select grid[i, j]).ToArray().AllDifferent());
// Colonnes
solver.Add((from j in cellIndices
select grid[j, i]).ToArray().AllDifferent());
}
//Cellules
for (int i = 0; i < CELL.Count(); i++)
{
for (int j = 0; j < CELL.Count(); j++)
{
solver.Add((from di in CELL
from dj in CELL
select grid[i * cell_size + di, j * cell_size + dj]
).ToArray().AllDifferent());
}
}
//Début de la résolution
DecisionBuilder db = solver.MakePhase(grid_flat,
Solver.INT_VAR_SIMPLE,
Solver.INT_VALUE_SIMPLE);
solver.NewSearch(db);
//Mise à jour du sudoku
//int n = cell_size * cell_size;
//Or on sait que cell_size = 3 -> voir ligne 13
//Inspiré de l'exemple : taille des cellules identique
while (solver.NextSolution())
{
for (int i = 0; i < 9; i++)
{
for (int j = 0; j < 9; j++)
{
s.SetCell(i, j, (int)grid[i, j].Value());
}
}
}
//Si 4 lignes dessus optionnelles, EndSearch est obligatoire
solver.EndSearch();
}
public void Solve(GrilleSudoku s)
{
SolverContext problem = SolverContext.GetContext();
Model model = problem.CreateModel();
Decision[][] grid = new Decision[9][]; // 0-based indices, 1-based values
for (int r = 0; r < 9; ++r)
{
grid[r] = new Decision[9];
}
for (int r = 0; r < 9; ++r)
{
for (int c = 0; c < 9; ++c)
{
grid[r][c] = new Decision(Domain.IntegerRange(1, 9), "grid" + r + c);
}
}
for (int r = 0; r < 9; ++r)
{
model.AddDecisions(grid[r]);
}
//for (int r = 0; r < 9; ++r) // alternative to above
// for (int c = 0; c < 9; ++c)
// model.AddDecisions(grid[r][c]);
Console.WriteLine("\nCreating generic row constraints");
for (int r = 0; r < 9; ++r)
{
model.AddConstraint("rowConstraint" + r, Model.AllDifferent(grid[r]));
}
Console.WriteLine("Creating generic column constraints");
for (int c = 0; c < 9; ++c)
{
for (int first = 0; first < 8; ++first)
{
for (int second = first + 1; second < 9; ++second)
{
model.AddConstraint("colConstraint" + c + first + second, grid[first][c] != grid[second][c]);
}
}
}
Console.WriteLine("Creating generic sub-cube constraints");
// cube constraints for grid[a][b] and grid[x][y]
for (int r = 0; r < 9; r += 3)
{
for (int c = 0; c < 9; c += 3)
{
for (int a = r; a < r + 3; ++a)
{
for (int b = c; b < c + 3; ++b)
{
for (int x = r; x < r + 3; ++x)
{
for (int y = c; y < c + 3; ++y)
{
if ((x == a && y > b) || (x > a))
{ // xy > ab
model.AddConstraint("cubeConstraint" + a + b + x + y, grid[a][b] != grid[x][y]);
}
} // y
} // x
} // b
} // a
} // c
} // r
Console.WriteLine("Creating problem specific data constraints");
// brute force approach:
//model.AddConstraint("v02", grid[0][2] == 6);
//model.AddConstraint("v03", grid[0][3] == 2);
//model.AddConstraint("v07", grid[0][7] == 8);
//model.AddConstraint("v12", grid[1][2] == 8);
//model.AddConstraint("v13", grid[1][3] == 9);
//model.AddConstraint("v14", grid[1][4] == 7);
//model.AddConstraint("v22", grid[2][2] == 4);
//model.AddConstraint("v23", grid[2][3] == 8);
//model.AddConstraint("v24", grid[2][4] == 1);
//model.AddConstraint("v26", grid[2][6] == 5);
//model.AddConstraint("v34", grid[3][4] == 6);
//model.AddConstraint("v38", grid[3][8] == 2);
//model.AddConstraint("v41", grid[4][1] == 7);
//model.AddConstraint("v47", grid[4][7] == 3);
//model.AddConstraint("v50", grid[5][0] == 6);
//model.AddConstraint("v54", grid[5][4] == 5);
//model.AddConstraint("v62", grid[6][2] == 2);
//model.AddConstraint("v64", grid[6][4] == 4);
//model.AddConstraint("v65", grid[6][5] == 7);
//model.AddConstraint("v66", grid[6][6] == 1);
//model.AddConstraint("v72", grid[7][2] == 3);
//model.AddConstraint("v74", grid[7][4] == 2);
//model.AddConstraint("v75", grid[7][5] == 8);
//model.AddConstraint("v76", grid[7][6] == 4);
//model.AddConstraint("v81", grid[8][1] == 5);
//model.AddConstraint("v85", grid[8][5] == 1);
//model.AddConstraint("v86", grid[8][6] == 2);
////model.AddConstraint("v86", grid[8][6] == 4); // creates unsolvable problem
AddDataConstraints(s, model, grid); // more elegant approach
Console.WriteLine("\nSolving. . . ");
int numSolutions = NumberSolutions(problem);
Console.WriteLine("\nThere is/are " + numSolutions + " Solution(s)\n");
Solution solution = problem.Solve();
//ShowAnswer(grid); // alternative to below
for (int r = 0; r < 9; ++r)
{
for (int c = 0; c < 9; ++c)
{
double v = grid[r][c].GetDouble();
//Console.Write(" " + v);
s.SetCell(r, c, (int)v);
}
}
}