int WangTiles::SimpleCompaction(const TileSet & tileSet,
vector< vector<Tile> > & result)
{
const int numTiles = tileSet.NumTiles();
const int numHColors = tileSet.NumHColors();
const int numVColors = tileSet.NumVColors();
const int numTilesPerColor = tileSet.NumTilesPerColor();
// find the best aspect ratio
const int maxFactor = floor(sqrt(numTiles));
const int height = numVColors*numVColors;
const int width = numHColors*numHColors*numTilesPerColor;
{
result = vector< vector<Tile> > (height);
for(int i = 0; i < result.size(); i++)
{
result[i] = vector<Tile>(width);
}
}
{
int i = 0; int j = 0;
for(int e1 = 0; e1 < numVColors; e1++)
for(int e3 = 0; e3 < numVColors; e3++)
for(int e0 = 0; e0 < numHColors; e0++)
for(int e2 = 0; e2 < numHColors; e2++)
{
const vector<Tile> & tiles = tileSet.Tiles(e0, e1, e2, e3);
for(int k = 0; k < tiles.size(); k++)
{
result[i][j] = tiles[k];
j++;
if(j >= result[i].size())
{
i++; j = 0;
}
}
}
}
// done
return 1;
}
int WangTiles::SequentialTiling(const TileSet & tileSet,
const int numRowTiles,
const int numColTiles,
vector< vector<Tile> > & result)
{
{
// null initialization
if(result.size() != numRowTiles)
{
result = vector< vector<Tile> >(numRowTiles);
}
for(int i = 0; i < result.size(); i++)
{
if(result[i].size() != numColTiles)
{
result[i] = vector<Tile>(numColTiles);
}
}
{
Tile empty;
for(int i = 0; i < numRowTiles; i++)
for(int j = 0; j < numColTiles; j++)
{
result[i][j] = empty;
}
}
}
{
const int numHColors = tileSet.NumHColors();
const int numVColors = tileSet.NumVColors();
// add tiles
for(int i = 0; i < numRowTiles; i++)
for(int j = 0; j < numColTiles; j++)
{
// find out the color selection from neighbors
int e0, e1, e2, e3;
e0 = result[(i+numRowTiles-1)%numRowTiles][j].e2();
e1 = result[i][(j+1)%numColTiles].e3();
e2 = result[(i+1)%numRowTiles][j].e0();
e3 = result[i][(j+numColTiles-1)%numColTiles].e1();
if(e0 < 0) e0 = rand()%numHColors;
if(e1 < 0) e1 = rand()%numVColors;
if(e2 < 0) e2 = rand()%numHColors;
if(e3 < 0) e3 = rand()%numVColors;
const vector<Tile> & selections = tileSet.Tiles(e0, e1, e2, e3);
if(selections.size() <= 0)
{
return 0;
}
result[i][j] = selections[rand()%selections.size()];
}
}
// done
return 1;
}
int WangTiles::OrthogonalCornerCompaction(const TileSet & tileSet,
vector< vector<Tile> > & result)
{
const int numHColors = tileSet.NumHColors();
const int numVColors = tileSet.NumVColors();
const int numTilesPerColor = tileSet.NumTilesPerColor();
// find the best aspect ratio
int numTilesPerColorH = numTilesPerColor;
int numTilesPerColorV = 1;
while((numHColors*numHColors*numTilesPerColorH >
numVColors*numVColors*numTilesPerColorV) &&
(numTilesPerColorH%2 == 0))
{
numTilesPerColorH /= 2;
numTilesPerColorV *= 2;
}
const int height = numVColors*numVColors*numTilesPerColorV;
const int width = numHColors*numHColors*numTilesPerColorH;
{
// space allocation for the result
result = vector< vector<Tile> > (height);
for(int i = 0; i < result.size(); i++)
{
result[i] = vector<Tile>(width);
}
}
{
vector<int> travelHEdges, travelVEdges;
if(! TravelEdges(0, numHColors-1, travelHEdges)) return 0;
if(! TravelEdges(0, numVColors-1, travelVEdges)) return 0;
// put the tiles
for(int i = 0; i < height; i++)
for(int j = 0; j < width; j++)
{
int whichVBlock = i/(numVColors*numVColors);
int whichHBlock = j/(numHColors*numHColors);
int ec = whichVBlock*numTilesPerColorH + whichHBlock;
int hIndex0 = j%(numHColors*numHColors);
int hIndex2 = hIndex0 + 1;
int vIndex1 = i%(numVColors*numVColors);
int vIndex3 = vIndex1 + 1;
int e0 = travelHEdges[hIndex0];
int e3 = travelVEdges[vIndex1];
int e2 = travelHEdges[hIndex0];
int e1 = travelVEdges[vIndex1];
// assignment
const vector<Tile> & tiles = tileSet.Tiles(e0, e1, e2, e3);
if(tiles.size() <= ec)
{
return 0;
}
result[i][j] = tiles[ec];
}
}
// done
return 1;
}
// algorithm:
// find the tiling for each center color (i.e. assuming numTilesPerColor is 1)
// and repeat the tiling for multiple numTilesPerColor
int WangTiles::EvenCompaction(const TileSet & tileSet,
vector< vector<Tile> > & result)
{
//const int numTiles = tileSet.NumTiles();
const int numHColors = tileSet.NumHColors();
const int numVColors = tileSet.NumVColors();
const int numTilesPerColor = tileSet.NumTilesPerColor();
// error checking
if((numHColors*numVColors*numTilesPerColor)%4)
{
// illegal input sizes
return 0;
}
// find the best aspect ratio
int numTilesPerColorH = numTilesPerColor/2;
int numTilesPerColorV = 2;
{
int hFactor = 1;
int vFactor = 1;
int numTilesPerColorhv = numTilesPerColor;
if(numHColors%2)
{
hFactor *= 2; numTilesPerColorhv /= 2;
}
if(numVColors%2)
{
vFactor *= 2; numTilesPerColorhv /= 2;
}
const int maxFactor = ceil(sqrt(numTilesPerColorhv));
int factor = 1;
for(int i = 1; i <= maxFactor; i++)
{
if((numTilesPerColorhv%i) == 0) factor = i;
}
if( (numVColors*numVColors*vFactor) <
(numHColors*numHColors*hFactor) )
{
factor = numTilesPerColorhv/factor;
}
numTilesPerColorH = factor * hFactor;
numTilesPerColorV = numTilesPerColorhv/factor * vFactor;
}
const int height = numVColors*numVColors*numTilesPerColorV;
const int width = numHColors*numHColors*numTilesPerColorH;
{
// space allocation for the result
result = vector< vector<Tile> > (height);
for(int i = 0; i < result.size(); i++)
{
result[i] = vector<Tile>(width);
}
}
{
// put the tiles
for(int i = 0; i < height; i++)
for(int j = 0; j < width; j++)
{
int ec = i/(numVColors*numVColors)*numTilesPerColorH +
j/(numHColors*numHColors);
int e0 = (j/numHColors)%numHColors;
int e1 = (i/numVColors)%numVColors;
int e2 = (j%numHColors);
int e3 = (i%numVColors);
if(j%2)
{
// swap e1 and e3
int tmp = e1; e1 = e3; e3 = tmp;
}
if(i%2)
{
// swap e0 and e2
int tmp = e0; e0 = e2; e2 = tmp;
}
// assignment
const vector<Tile> & tiles = tileSet.Tiles(e0, e1, e2, e3);
if(tiles.size() <= ec)
{
return 0;
}
result[i][j] = tiles[ec];
}
}
// done
return 1;
}
int WangTiles::RandomCompaction(const TileSet & tileSet,
vector< vector<Tile> > & result)
{
const int numHColors = tileSet.NumHColors();
const int numVColors = tileSet.NumVColors();
const int numTilesPerColor = tileSet.NumTilesPerColor();
// find the best aspect ratio
int numTilesPerColorH = numTilesPerColor;
int numTilesPerColorV = 1;
while((numVColors*numVColors*numTilesPerColorH >
numHColors*numHColors*numTilesPerColorV) &&
(numTilesPerColorH%2 == 0))
{
numTilesPerColorH /= 2;
numTilesPerColorV *= 2;
}
const int height = numHColors*numHColors*numTilesPerColorV;
const int width = numVColors*numVColors*numTilesPerColorH;
{
// space allocation for the result
result = vector< vector<Tile> > (height);
for(int i = 0; i < result.size(); i++)
{
result[i] = vector<Tile>(width);
}
}
// do the random assignment
{
// build a random permutation
deque<int> permutation(height*width);
{
for(int i = 0; i < permutation.size(); i++)
{
permutation[i] = i;
}
}
deque<int> permutationNew;
while(permutation.size() > 0)
{
const int select = rand()%permutation.size();
permutationNew.push_back(permutation[select]);
permutation[select] = permutation[permutation.size()-1];
permutation.pop_back();
}
permutation = permutationNew;
for(int e1 = 0; e1 < numVColors; e1++)
for(int e3 = 0; e3 < numVColors; e3++)
for(int e0 = 0; e0 < numHColors; e0++)
for(int e2 = 0; e2 < numHColors; e2++)
{
const vector<Tile> & tiles = tileSet.Tiles(e0, e1, e2, e3);
for(int k = 0; k < tiles.size(); k++)
{
const int whereToGo = permutation[0];
permutation.pop_front();
const int row = whereToGo/width;
const int col = whereToGo%width;
result[row][col] = tiles[k];
}
}
}
// done
return 1;
}
