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OverlappingModel.cs
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// Copyright (C) 2016 Maxim Gumin, The MIT License (MIT)
using System;
using System.Collections.Generic;
class OverlappingModel : Model
{
List<byte[]> patterns;
List<int> colors;
public OverlappingModel(string name,
int N,
int width,
int height,
bool periodicInput,
bool periodic,
int symmetry,
bool ground,
Heuristic heuristic)
: base(width, height, N, periodic, heuristic)
{
var (bitmap, SX, SY) = BitmapHelper.LoadBitmap($"samples/{name}.png");
byte[] sample = new byte[bitmap.Length];
colors = new List<int>();
for (int i = 0; i < sample.Length; i++)
{
int color = bitmap[i];
int k = 0;
for (; k < colors.Count; k++) if (colors[k] == color) break;
if (k == colors.Count) colors.Add(color);
sample[i] = (byte)k;
}
static byte[] pattern(Func<int, int, byte> f, int N)
{
byte[] result = new byte[N * N];
for (int y = 0; y < N; y++) for (int x = 0; x < N; x++) result[x + y * N] = f(x, y);
return result;
};
static byte[] rotate(byte[] p, int N) => pattern((x, y) => p[N - 1 - y + x * N], N);
static byte[] reflect(byte[] p, int N) => pattern((x, y) => p[N - 1 - x + y * N], N);
static long hash(byte[] p, int C)
{
long result = 0, power = 1;
for (int i = 0; i < p.Length; i++)
{
result += p[p.Length - 1 - i] * power;
power *= C;
}
return result;
};
patterns = new();
Dictionary<long, int> patternIndices = new();
List<double> weightList = new();
int C = colors.Count;
int xmax = periodicInput ? SX : SX - N + 1;
int ymax = periodicInput ? SY : SY - N + 1;
for (int y = 0; y < ymax; y++) for (int x = 0; x < xmax; x++)
{
byte[][] ps = new byte[8][];
ps[0] = pattern((dx, dy) => sample[(x + dx) % SX + (y + dy) % SY * SX], N);
ps[1] = reflect(ps[0], N);
ps[2] = rotate(ps[0], N);
ps[3] = reflect(ps[2], N);
ps[4] = rotate(ps[2], N);
ps[5] = reflect(ps[4], N);
ps[6] = rotate(ps[4], N);
ps[7] = reflect(ps[6], N);
for (int k = 0; k < symmetry; k++)
{
byte[] p = ps[k];
long h = hash(p, C);
if (patternIndices.TryGetValue(h, out int index)) weightList[index] = weightList[index] + 1;
else
{
patternIndices.Add(h, weightList.Count);
weightList.Add(1.0);
patterns.Add(p);
}
}
}
weights = weightList.ToArray();
T = weights.Length;
this.ground = ground;
static bool agrees(byte[] p1, byte[] p2,
int dx, int dy,
int N)
{
int xmin = dx < 0 ? 0 : dx,
xmax = dx < 0 ? dx + N : N,
ymin = dy < 0 ? 0 : dy,
ymax = dy < 0 ? dy + N : N;
for (int y = ymin; y < ymax; y++)
for (int x = xmin; x < xmax; x++)
if (p1[x + N * y] != p2[x - dx + N * (y - dy)]) return false;
return true;
};
propagator = new int[4][][];
for (int d = 0; d < 4; d++)
{
propagator[d] = new int[T][];
for (int t = 0; t < T; t++)
{
List<int> list = new();
for (int t2 = 0; t2 < T; t2++)
{
if (agrees(patterns[t], patterns[t2], dx[d], dy[d], N))
list.Add(t2);
}
propagator[d][t] = new int[list.Count];
for (int c = 0; c < list.Count; c++)
propagator[d][t][c] = list[c];
}
}
}
public override void Save(string filename)
{
int[] bitmap = new int[MX * MY];
if (observed[0] >= 0)
{
for (int y = 0; y < MY; y++)
{
int dy = y < MY - N + 1 ? 0 : N - 1;
for (int x = 0; x < MX; x++)
{
int dx = x < MX - N + 1 ? 0 : N - 1;
bitmap[x + y * MX] = colors[patterns[observed[x - dx + (y - dy) * MX]][dx + dy * N]];
}
}
}
else
{
for (int i = 0; i < wave.Length; i++)
{
int contributors = 0, r = 0, g = 0, b = 0;
int x = i % MX, y = i / MX;
for (int dy = 0; dy < N; dy++)
for (int dx = 0; dx < N; dx++)
{
int sx = x - dx;
if (sx < 0) sx += MX;
int sy = y - dy;
if (sy < 0) sy += MY;
int s = sx + sy * MX;
if (!periodic && (sx + N > MX || sy + N > MY || sx < 0 || sy < 0)) continue;
for (int t = 0; t < T; t++) if (wave[s][t])
{
contributors++;
int argb = colors[patterns[t][dx + dy * N]];
r += (argb & 0xff0000) >> 16;
g += (argb & 0xff00) >> 8;
b += argb & 0xff;
}
}
bitmap[i] = unchecked((int)0xff000000 | ((r / contributors) << 16) | ((g / contributors) << 8) | b / contributors);
}
}
BitmapHelper.SaveBitmap(bitmap, MX, MY, filename);
}
}