public void TestChessboard()
        {
            var model = new PatternModel
            {
                Frequencies = new double[] { 1, 1 },
                Propagator  = new int[][][]
                {
                    new int[][] { new int[] { 1 }, new int[] { 1 }, new int[] { 1 }, new int[] { 1 }, },
                    new int[][] { new int[] { 0 }, new int[] { 0 }, new int[] { 0 }, new int[] { 0 }, },
                }
            };
            var width      = 10;
            var height     = 10;
            var topology   = new Topology(width, height, true);
            var propagator = new WavePropagator(model, topology);
            var status     = propagator.Run();

            Assert.AreEqual(Resolution.Decided, status);
            var a       = propagator.ToTopoArray().ToArray2d();
            var topLeft = a[0, 0];

            for (var x = 0; x < width; x++)
            {
                for (var y = 0; y < height; y++)
                {
                    Assert.IsTrue((a[x, y] == topLeft) ^ (x % 2 == 0) ^ (y % 2 == 0));
                }
            }

            // Should be impossible with an odd sized region
            topology   = new Topology(width + 1, height + 1, true);
            propagator = new WavePropagator(model, topology);
            status     = propagator.Run();
            Assert.AreEqual(Resolution.Contradiction, status);
        }
        public void TestBacktracking()
        {
            // Reproduces the wang tiles found at
            // https://en.wikipedia.org/wiki/Wang_tile
            // They only have aperiodic tiling, so they are a hard set to put down.
            // Clockwise from top
            var tileBorders = new[]
            {
                "rrrg",
                "brbg",
                "rggg",
                "wbrb",
                "bbwb",
                "wwrw",
                "rgbw",
                "bwbr",
                "brwr",
                "ggbr",
                "rwrg",
            };
            var propagator = tileBorders.Select(tile1 =>

                                                tile1.Select((c, i) =>
            {
                var d = new[] { 3, 0, 2, 1 }[i];
                var o = (i + 2) % 4;
                return(Tuple.Create(d, tileBorders
                                    .Select((tile2, i2) => Tuple.Create(tile2, i2))
                                    .Where(t => t.Item1[o] == c)
                                    .Select(t => t.Item2)
                                    .ToArray()));
            })
                                                .OrderBy(x => x.Item1)
                                                .Select(x => x.Item2)
                                                .ToArray()
                                                ).ToArray();

            var model = new PatternModel
            {
                Frequencies = tileBorders.Select(x => 1.0).ToArray(),
                Propagator  = propagator,
            };
            var topology = new GridTopology(10, 10, false);

            var seed = Environment.TickCount;
            var r    = new Random(seed);

            Console.WriteLine("Seed {0}", seed);

            var wavePropagator = new WavePropagator(model, topology, 10, randomDouble: r.NextDouble);

            var status = wavePropagator.Run();

            Assert.AreEqual(Resolution.Decided, status);

            Console.WriteLine($"Backtrack Count {wavePropagator.BacktrackCount}");
        }
        public void TestChessboard(ModelConstraintAlgorithm algorithm)
        {
            var model = new PatternModel
            {
                Frequencies = new double[] { 1, 1 },
                Propagator  = new int[][][]
                {
                    new int[][] { new int[] { 1 }, new int[] { 1 }, new int[] { 1 }, new int[] { 1 }, },
                    new int[][] { new int[] { 0 }, new int[] { 0 }, new int[] { 0 }, new int[] { 0 }, },
                }
            };
            var width    = 10;
            var height   = 10;
            var topology = new GridTopology(width, height, true);
            var options  = new WavePropagatorOptions {
                ModelConstraintAlgorithm = algorithm
            };
            var propagator = new WavePropagator(model, topology, options);
            var status     = propagator.Run();

            Assert.AreEqual(Resolution.Decided, status);
            var a       = propagator.ToTopoArray().ToArray2d();
            var topLeft = a[0, 0];

            for (var x = 0; x < width; x++)
            {
                for (var y = 0; y < height; y++)
                {
                    Assert.IsTrue((a[x, y] == topLeft) ^ (x % 2 == 0) ^ (y % 2 == 0));
                }
            }

            // Should be impossible with an odd sized region
            topology   = new GridTopology(width + 1, height + 1, true);
            propagator = new WavePropagator(model, topology, options);
            status     = propagator.Run();
            Assert.AreEqual(Resolution.Contradiction, status);

            // Should be possible with an odd sized region, if we have the right mask
            var mask = new bool[(width + 1) * (height + 1)];

            for (var x = 0; x < width; x++)
            {
                for (var y = 0; y < height; y++)
                {
                    mask[x + y * (width + 1)] = true;
                }
            }
            topology   = new GridTopology(width + 1, height + 1, true).WithMask(mask);
            propagator = new WavePropagator(model, topology, options);
            status     = propagator.Run();
            Assert.AreEqual(Resolution.Decided, status);
        }
        public void TestChessboard3d(ModelConstraintAlgorithm algorithm)
        {
            var model = new PatternModel
            {
                Frequencies = new double[] { 1, 1 },
                Propagator  = new int[][][]
                {
                    new int[][] { new int[] { 1 }, new int[] { 1 }, new int[] { 1 }, new int[] { 1 }, new int[] { 1 }, new int[] { 1 }, },
                    new int[][] { new int[] { 0 }, new int[] { 0 }, new int[] { 0 }, new int[] { 0 }, new int[] { 0 }, new int[] { 0 }, },
                }
            };
            var width    = 4;
            var height   = 4;
            var depth    = 4;
            var topology = new GridTopology(width, height, depth, true);
            var options  = new WavePropagatorOptions {
                ModelConstraintAlgorithm = algorithm
            };
            var propagator = new WavePropagator(model, topology, options);
            var status     = propagator.Run();

            Assert.AreEqual(Resolution.Decided, status);
            var a       = propagator.ToTopoArray();
            var topLeft = a.Get(0, 0, 0);

            for (var x = 0; x < width; x++)
            {
                for (var y = 0; y < height; y++)
                {
                    for (var z = 0; z < depth; z++)
                    {
                        Assert.IsFalse((a.Get(x, y, z) == topLeft) ^ (x % 2 == 0) ^ (y % 2 == 0) ^ (z % 2 == 0));
                    }
                }
            }

            // Should be impossible with an odd sized region
            topology   = new GridTopology(width + 1, height + 1, depth + 1, true);
            propagator = new WavePropagator(model, topology, options);
            status     = propagator.Run();
            Assert.AreEqual(Resolution.Contradiction, status);
        }
Exemple #5
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 /// <summary>
 /// Repeatedly Steps until the status is Decided or Contradiction.
 /// </summary>
 /// <returns>The current <see cref="Status"/></returns>
 public Resolution Run()
 {
     return(wavePropagator.Run());
 }