public static void Main(string [] args)
{
var numerBoardTokenizer = new NumberBoardTokenizer();
using (var streamReader = new StreamReader(new FileStream("./question.txt", FileMode.Open)))
{
using (var streamWriter = new StreamWriter(new FileStream("./answer.txt", FileMode.OpenOrCreate)))
{
var lines = streamReader.ReadToEnd().Split(new[] { Environment.NewLine },
StringSplitOptions.RemoveEmptyEntries);
for (var index = 0; index < lines.Length; index += 10)
{
var header = lines[index];
Console.WriteLine(header);
streamWriter.WriteLine(header);
var generate = numerBoardTokenizer.Generate(string.Join("", lines, index + 1, 9));
var sudokuBoard = new SudokuBoard();
sudokuBoard.Make(generate);
streamWriter.WriteLine(sudokuBoard.Answer);
sudokuBoard.Solve();
streamWriter.WriteLine(sudokuBoard.Answer);
}
}
}
}
static void Main(string[] args)
{
//Set test Sudoku field
var sudokuBoard = new SudokuBoard();
SetTest(sudokuBoard);
sudokuBoard.Print();
//Solve
sudokuBoard.Solve();
sudokuBoard.Print();
}
private static void CompleteSolve(SudokuBoard board)
{
Console.WriteLine("Board:");
Output(board);
List <SudokuBoard> solutions = board.Solve().ToList();
Console.WriteLine($"All {solutions.Count} solutions:");
int i = 1;
foreach (SudokuBoard solution in solutions)
{
Console.WriteLine("----------------");
Console.WriteLine($"Solution {i++} / {solutions.Count}:");
Output(solution);
}
}
public Bitmap SolveSudokuPhoto(Bitmap sudokuPhoto)
{
Bitmap transformedImage = ImageTransformation.TranformImage(sudokuPhoto);
//transformedImage.Save(@"D:\k\trash\transformedImage.jpg");
Bitmap thresholdedImage = ImageTransformation.PerformThresholding(transformedImage);
//thresholdedImage.Save(@"D:\k\trash\thresholdedImage.jpg");
//todo del
//ImageTransformation.Test(transformedImage).Save(@"D:\k\trash\abc.jpg");
//TODO: Threshold will probably be needed for noisy images
//var thresholdFilter = new Threshold(100);
//thresholdFilter.ApplyInPlace(image);
var invertFilter = new Invert();
var invertedImage = invertFilter.Apply(thresholdedImage);
//invertedImage.Save(@"D:\k\trash\invertedInput.jpg");
var blobCounter = new BlobCounter
{
BackgroundThreshold = Color.FromArgb(255, 70, 70, 70)
};
blobCounter.ProcessImage(invertedImage);
var invertedImageBlobs = blobCounter.GetObjectsInformation();
var boardBlobCandidates = invertedImageBlobs;
var biggestBoardBlobCandidate = boardBlobCandidates.OrderByDescending(b => b.Area).First();
var boardBlob = biggestBoardBlobCandidate;
var expectedCellBlobHeight = boardBlob.Rectangle.Height /
SudokuBoard.NumberOfBoardCellsInSingleDirection;
var expectedCellBlobWidth = boardBlob.Rectangle.Width /
SudokuBoard.NumberOfBoardCellsInSingleDirection;
var blobCellSizeTolerance = 0.25;
blobCounter.ProcessImage(thresholdedImage);
//todo
thresholdedImage = transformedImage;
var cellBlobCandidates = blobCounter.GetObjectsInformation();
var cellBlobs = cellBlobCandidates.Where(
b =>
boardBlob.Rectangle.Contains(b.Rectangle) &&
IsMatch(b.Rectangle.Width, expectedCellBlobWidth, blobCellSizeTolerance) &&
IsMatch(b.Rectangle.Height, expectedCellBlobHeight, blobCellSizeTolerance)).ToArray();
if (cellBlobs.Length != SudokuBoard.NumberOfBoardCells)
{
throw new InvalidOperationException();
}
var expectedCellsData =
Enumerable.Range(0, SudokuBoard.NumberOfBoardCellsInSingleDirection)
.SelectMany(
cvi =>
Enumerable.Range(0, SudokuBoard.NumberOfBoardCellsInSingleDirection)
.Select(chi => new
{
CellHorizontalIndex = chi,
CellVerticalIndex = cvi,
ExpectedCellCenter =
new Point((int)(boardBlob.Rectangle.X + (cvi + 0.5) * expectedCellBlobWidth),
boardBlob.Rectangle.Y + (int)((chi + 0.5) * expectedCellBlobHeight)),
})).ToArray();
var sudokuBoard = new SudokuBoard();
var digitImages = new List <Bitmap>();
var parsedDigitIndexToCellBlobMap = new Dictionary <int, Blob>();
var lastParsedDigitIndex = 0;
foreach (var cellBlob in cellBlobs)
{
// TODO: There may be more than one blob candidate
var digitBlob = invertedImageBlobs.SingleOrDefault(b => cellBlob.Rectangle.Contains(b.Rectangle));
if (digitBlob == null)
{
continue;
}
var digitImage = thresholdedImage.Clone(digitBlob.Rectangle, thresholdedImage.PixelFormat);
digitImages.Add(digitImage);
parsedDigitIndexToCellBlobMap[lastParsedDigitIndex++] = cellBlob;
}
IReadOnlyCollection <int> parsedDigits;
using (var digitParser = new DigitParser())
{
parsedDigits = digitParser.ParseDigits(digitImages);
}
foreach (var digitImage in digitImages)
{
digitImage.Dispose();
}
for (var parsedDigitIndex = 0; parsedDigitIndex < parsedDigits.Count; parsedDigitIndex++)
{
var digitCellBlob = parsedDigitIndexToCellBlobMap[parsedDigitIndex];
var expectedCellData =
expectedCellsData.Single(d => digitCellBlob.Rectangle.Contains(d.ExpectedCellCenter));
var parsedDigit = parsedDigits.ElementAt(parsedDigitIndex);
if (!SudokuBoard.ValidNumbers.Contains(parsedDigit))
{
throw new InvalidOperationException();
}
sudokuBoard[expectedCellData.CellHorizontalIndex, expectedCellData.CellVerticalIndex] =
parsedDigit;
}
var solvedBoard = sudokuBoard.Solve();
if (solvedBoard == null)
{
return(null);
}
Debug.Assert(solvedBoard.IsComplete() && solvedBoard.IsValid());
var cellsToPrint = Enumerable.Range(0, SudokuBoard.NumberOfBoardCellsInSingleDirection)
.SelectMany(
vi =>
Enumerable.Range(0, SudokuBoard.NumberOfBoardCellsInSingleDirection)
.Select(hi => new
{
HorizontalIndex = hi,
VerticalIndex = vi
})).Where(c => sudokuBoard[c.HorizontalIndex, c.VerticalIndex] == null).Select(
i =>
{
var expectedCellData =
expectedCellsData.Single(
d =>
d.CellHorizontalIndex == i.HorizontalIndex &&
d.CellVerticalIndex == i.VerticalIndex);
var cellBlob =
cellBlobs.Single(
b => b.Rectangle.Contains(expectedCellData.ExpectedCellCenter));
var cellCenter = new Point(cellBlob.Rectangle.X + cellBlob.Rectangle.Width / 2,
cellBlob.Rectangle.Y + cellBlob.Rectangle.Height / 2);
return(new Cell(i.HorizontalIndex, i.VerticalIndex, cellBlob.Rectangle));
}).ToList();
var solutionPhoto = PrintSolutionToSourceImage(thresholdedImage, cellsToPrint, solvedBoard);
return(solutionPhoto);
}
public IEnumerable <SudokuBoard> Solve()
{
SudokuProgress Simplify()
{
bool valid = _rules.All(rule => rule.CheckValid());
if (!valid)
{
return(SudokuProgress.FAILED);
}
return(_rules.Aggregate(SudokuProgress.NO_PROGRESS,
(progress, rule) => SudokuTile.CombineSolvedState(progress, rule.Solve())));
}
// reset solution
foreach (SudokuTile tile in _tiles)
{
tile.ResetPossibles();
}
SudokuProgress simplify = SudokuProgress.PROGRESS;
while (simplify == SudokuProgress.PROGRESS)
{
simplify = Simplify();
}
if (simplify == SudokuProgress.FAILED)
{
yield break;
}
// Find one of the values with the least number of alternatives, but that still has at least 2 alternatives
IEnumerable <SudokuTile> query = from rule in _rules
from tile in rule
where tile.PossibleCount > 1
orderby tile.PossibleCount ascending
select tile;
SudokuTile chosen = query.FirstOrDefault();
if (chosen == null)
{
// The board has been completed, we're done!
yield return(this);
yield break;
}
foreach (int value in Enumerable.Range(1, _maxValue))
{
// Iterate through all the valid possibles on the chosen square and pick a number for it
if (!chosen.IsValuePossible(value))
{
continue;
}
SudokuBoard copy = new SudokuBoard(this);
copy[chosen.X, chosen.Y].Fix(value, "Trial and error");
foreach (SudokuBoard innerSolution in copy.Solve())
{
yield return(innerSolution);
}
}
yield break;
}
