tested conflicts with variable costs

src/main/java/Conflict.java

@@ -248,5 +248,42 @@ public class Conflict{
 		return num_dual;
 	}
 
+	/**
+	 * Get directions from center and layers of the 2 non-center tiles involved in each triangular conflict
+	 * Full triangle is center:nl1 -> dir1 -> dir2 -> center:nl2
+	 * @return array of 2-tuples:{dir1, dir2}
+	 */
+	public int [][] getInvolvedTiles(){
+		int [][] involved = new int [getNumConflicts()][2];
+		int nt = 0;
+		for (int i = 0; i < 4; i++){
+			if (start_dirs[i + 0]) {
+				involved[nt][0] =   i * 2;
+				involved[nt++][1] = ((i * 2) + 2) % 8;
+			}
+			if (start_dirs[i + 4]) {
+				involved[nt][0] =   ((i * 2) + 2) % 8;
+				involved[nt++][1] = i * 2;
+			}
+			if (start_dirs[i + 8]) {
+				involved[nt][0] =   i * 2;
+				involved[nt++][1] = ((i * 2) + 1) % 8;
+			}
+			if (start_dirs[i + 12]) {
+				involved[nt][0] =   ((i * 2) + 1) % 8;
+				involved[nt++][1] = i * 2;
+			}
+
+			if (start_dirs[i + 16]) {
+				involved[nt][0] =   i * 2;
+				involved[nt++][1] = ((i * 2) + 7) % 8;
+			}
+			if (start_dirs[i + 20]) {
+				involved[nt][0] =   ((i * 2) + 7) % 8;
+				involved[nt++][1] = i * 2;
+			}
+		}
+		return involved;
+	}
 
 }

src/main/java/Conflicts.java

@@ -198,6 +198,34 @@ public class Conflicts {
 			if (better? (num_ortho_dual < 0) : (num_ortho_dual > 0)) num++;
 
 		}
+		if (use_ood) {
+			for (int i = 0; i < num_ortho_ortho_diag.length; i++){
+				if (better?(num_ortho_ortho_diag[i] < 0):(num_ortho_ortho_diag[i] > 0)) num++;
+			}
+		}
+		return num;
+	}
+	public int sumConflicts(
+			boolean use_all,
+			boolean use_odo,
+			boolean use_ood)
+	{
+		int num = 0;
+		if (use_all) {
+			for (int i = 0; i < num_all_conflicts.length; i++){
+				num += num_all_conflicts[i];
+			}
+		}
+		if (use_odo) {
+			for (int i = 0; i < num_ortho_diag_ortho.length; i++){
+				num +=num_ortho_diag_ortho[i];
+			}
+		}
+		if (use_ood) {
+			for (int i = 0; i < num_ortho_ortho_diag.length; i++){
+				num +=num_ortho_ortho_diag[i];
+			}
+		}
 		return num;
 	}
 	
@@ -286,11 +314,157 @@ public class Conflicts {
 		return conflicts;
 	}
 	
+	/**
+	 * Calculate cost of all conflicts around supertile nsTile0 by adding "star" weight of each tile involved.
+	 * Tile weight can be either from the planes[][] array or from the replacement values in replacement_val_weights
+	 * (when the tiles configuration is not yet committed)
+	 * @param nsTile0 supertile index to process
+	 * @param scaleStartEnd for each conflict triangle add start and end tiles (at the center nsTile0) scaled by this value
+	 * @param conflicts array of calculated conflicts (each is {start_layer, end_layer, direction/type bitmask} or null,
+	 * in that case it will be calculated
+	 * @param replacement_tiles a map of supertile indices to replacement indices (for replacement_neibs and
+	 *        replacement_val_weights) or null. If not null, and entry for the supertile full index exists, 
+	 *        replacement_neibs and replacement_val_weights will be used, otherwise planes[][] data.
+	 *        replacement_tiles may be null, in that case planes[][] data will be used unconditionally.
+	 * @param replacement_neibs array of neighbors to use instead of the planes data. First index is an index
+	 *        of the replacement supertile (values in the  replacement_tiles map), second - layer number and
+	 *        the 3-rd one - direction index for 8 connections: N, NE, E...NW. Value is the destination layer
+	 *        number. Can be null if not used (when replacement_tiles is null)
+	 * @param replacement_val_weights similar array for tile value/weight data (per-tile index, per layer).
+	 *  The innermost data is a tuple {value, weight}
+	 * @param tnSurface TileNeibs instance to navigate through the 2-d array encoded in linescan order
+	 * @return sum ao the weights of all conflicts fro this tile
+	 */
+	
+	public double getConflictsCost(
+			int           nsTile0,
+			double        scaleStartEnd, // include start and and layer tiles in the center in overall cost for each triangle (1.0)
+			int [][]      conflicts, //
+			HashMap<Integer,Integer> replacement_tiles, // null is OK
+			int [][][]    replacement_neibs,               // null OK if  replacement_tiles == null
+			double [][][] replacement_val_weights,
+			TileSurface.TileNeibs tnSurface)
+	{
+		TilePlanes.PlaneData [][] planes = st.getPlanes();
+		// generate conflicts if not provided
+		if (conflicts == null) {
+			conflicts = detectTriangularTileConflicts(
+					nsTile0,
+					replacement_tiles, //
+					replacement_neibs,
+					tnSurface);
+		}
+		double cost = 0.0;
+		if (conflicts != null){
+			Integer isTile = (replacement_tiles != null) ? replacement_tiles.get(nsTile0) : null;
+			for (int nConfl = 0; nConfl < conflicts.length; nConfl++){
+				Conflict conflict = new Conflict(nsTile0, conflicts[nConfl]);
+				int start_layer = conflict.getStartLayer();
+				int end_layer =   conflict.getEndLayer();
+				int [] neibs1 = ((isTile == null) ?
+						planes[nsTile0][start_layer].getNeibBest() :
+							replacement_neibs[isTile][start_layer]);
+				int [] neibs2 = ((isTile == null) ?
+						planes[nsTile0][end_layer].getNeibBest() :
+							replacement_neibs[isTile][end_layer]);
+
+				int [][] involved = conflict.getInvolvedTiles();
+				for (int nTri = 0; nTri < involved.length; nTri++){
+					int [] nsTiles = {
+							tnSurface.getNeibIndex(nsTile0, involved[nTri][0]),
+							tnSurface.getNeibIndex(nsTile0, involved[nTri][1])};
+					int [] layers = {neibs1[involved[nTri][0]], neibs2[involved[nTri][1]]};
+					for (int it = 0; it < nsTiles.length; it++){
+						Integer isTile1 = (replacement_tiles != null) ? replacement_tiles.get(nsTiles[it]) : null;
+						if (isTile1 != null){
+							cost += replacement_val_weights[isTile1][layers[it]][1];
+						} else {
+							cost += planes[nsTiles[it]][layers[it]].getStarValueWeight()[1];
+						}
+					}
+				}
+				if (scaleStartEnd != 0.0) {
+					if (isTile != null){
+						cost += scaleStartEnd * (replacement_val_weights[isTile][start_layer][1]+
+								replacement_val_weights[isTile][end_layer][1]);
+					} else {
+						cost += scaleStartEnd * (planes[nsTile0][start_layer].getStarValueWeight()[1]+
+								planes[nsTile0][end_layer].getStarValueWeight()[1]);
+					}
+				}
+			}
+		}
+		return cost;
+	}
+
+
+	public double getConflictsCost(
+			int           nsTile0,
+			double        scaleStartEnd, // include start and and layer tiles in the center in overall cost for each triangle (1.0)
+			int [][]      conflicts, //
+			HashMap<Integer,Integer> replacement_tiles, // null is OK
+			int [][][]    replacement_neibs,               // null OK if  replacement_tiles == null
+			ConnectionCosts connectionCosts,
+			TileSurface.TileNeibs tnSurface)
+	{
+		TilePlanes.PlaneData [][] planes = st.getPlanes();
+		// generate conflicts if not provided
+		if (conflicts == null) {
+			conflicts = detectTriangularTileConflicts(
+					nsTile0,
+					replacement_tiles, //
+					replacement_neibs,
+					tnSurface);
+		}
+		double cost = 0.0;
+		if (conflicts != null){
+			Integer isTile = (replacement_tiles != null) ? replacement_tiles.get(nsTile0) : null;
+			for (int nConfl = 0; nConfl < conflicts.length; nConfl++){
+				Conflict conflict = new Conflict(nsTile0, conflicts[nConfl]);
+				int start_layer = conflict.getStartLayer();
+				int end_layer =   conflict.getEndLayer();
+				int [] neibs1 = ((isTile == null) ?
+						planes[nsTile0][start_layer].getNeibBest() :
+							replacement_neibs[isTile][start_layer]);
+				int [] neibs2 = ((isTile == null) ?
+						planes[nsTile0][end_layer].getNeibBest() :
+							replacement_neibs[isTile][end_layer]);
+
+				int [][] involved = conflict.getInvolvedTiles();
+				for (int nTri = 0; nTri < involved.length; nTri++){
+					int [] nsTiles = {
+							tnSurface.getNeibIndex(nsTile0, involved[nTri][0]),
+							tnSurface.getNeibIndex(nsTile0, involved[nTri][1])};
+					int [] layers = {neibs1[involved[nTri][0]], neibs2[involved[nTri][1]]};
+					for (int it = 0; it < nsTiles.length; it++){
+						cost += connectionCosts. getValWeightLast(
+								nsTiles[it], // int nsTile,
+								layers[it], // int nl,
+								false)[1]; // boolean initialValue)
+					}
+				}
+				if (scaleStartEnd != 0.0) {
+					cost += scaleStartEnd * connectionCosts. getValWeightLast(
+							nsTile0,     // int nsTile,
+							start_layer, // int nl,
+							false)[1];   // boolean initialValue)
+					cost += scaleStartEnd * connectionCosts. getValWeightLast(
+							nsTile0,     // int nsTile,
+							end_layer, // int nl,
+							false)[1];   // boolean initialValue)
+				}
+			}
+		}
+		return cost;
+	}
+
+
+	
 	
 	public int [][] detectTriangularTileConflicts(
 			int nsTile0,
-			HashMap<Integer,Integer> replacement_tiles, //
-			int [][][] replacement_neibs,
+			HashMap<Integer,Integer> replacement_tiles, // null is OK - will use only planes data
+			int [][][] replacement_neibs,               // null OK if  replacement_tiles == null
 			TileSurface.TileNeibs tnSurface)
 	{
 		TilePlanes.PlaneData [][] planes = st.getPlanes();

src/main/java/ConnectionCosts.java

@@ -36,10 +36,12 @@ public class ConnectionCosts {
 	int [][][]     neibs_init;
 	int []         mod_tiles;
 	int []         all_tiles;
-	double [][][]  val_weights;
+	double [][][]  val_weights; // initial values/weights
 	double         init_val;
 	double         init_weight;
+	double [][][]  last_val_weights; // last calculated
 	HashMap<Integer,Integer> tile_map; // map from tile full index to index in neibs[] and 
+	HashMap<Integer,Integer> all_tile_map; // map from tile full index to index in val_weights[] and 
 
 	public ConnectionCosts(
 			double         orthoWeight,
@@ -93,6 +95,11 @@ public class ConnectionCosts {
 			tile_map.put(mod_tiles[i], i);
 		}
 		
+		all_tile_map = new HashMap<Integer,Integer>();
+		for (int i = 0; i < all_tiles.length; i++){
+			all_tile_map.put(all_tiles[i], i);
+		}
+		
 		switch (steps){
 		case 1:
 			val_weights = getConnectionsCostSingleStep (
@@ -110,6 +117,8 @@ public class ConnectionCosts {
 					-1); // int        debugLevel)			
 		}
 		
+		last_val_weights = val_weights;
+
 		init_val = 0.0;
 		init_weight = 0.0; // should not change during update
 		for (int isTile = 0; isTile < all_tiles.length; isTile++){
@@ -125,6 +134,35 @@ public class ConnectionCosts {
 		
 		return neibs_init; // neighbors to clone
 	}
+	public double [] getValWeightLast(
+			int nsTile,
+			int nl,
+			boolean initialValue)
+	{
+		Integer isTile = all_tile_map.get(nsTile);
+		if ((isTile != null) && (isTile < 0)){
+			System.out.println("isTile < 0");
+		}
+		if (nl < 0){
+			System.out.println(" nl < 0");
+		}
+		if ((isTile != null) && (isTile >= 0)){
+			return initialValue? val_weights[isTile][nl] : last_val_weights[isTile][nl];
+		} else {
+			return planes[nsTile][nl].getStarValueWeight();
+		}
+	}
+	
+	
+	public double [] getValWeight()
+	{
+		double [] val_weight = {init_val,init_weight};
+		return val_weight;
+	}
+	public double [][][] getValWeights()
+	{
+		return val_weights;
+	}
 	
 	public double [][][] getConnectionsCostSingleStep (
 			int [][][] neibs,	
@@ -272,7 +310,7 @@ public class ConnectionCosts {
 					neibs,	
 					-1); // int        debugLevel)			
 		}
-
+		last_val_weights = vw;
 		// calculate new cost
 		double new_value = 0.0;
 		double new_weight = 0.0; // should not change during update
@@ -288,6 +326,9 @@ public class ConnectionCosts {
 		return new_value - init_val; // negative - improvement
 	}
 	
+	double [][][] getLastValueWeight(){
+		return last_val_weights;
+	}
 	/**
 	 * Calculate main eigenvalue of the current plane and all connected ones - used to estimate advantage of connection swap
 	 * @param nsTile supertile index

src/main/java/SuperTiles.java

@@ -4412,11 +4412,9 @@ public class SuperTiles{
 						nsTile,
 						conflicts[nsTile][nConfl][0], // int nl1,
 						conflicts[nsTile][nConfl][1], // int nl2,
-//						conflicts[nsTile][nConfl][2], // int dir_mask,
 						tnSurface,
 						conflicts,
 						conflict_stats, // to be updated after applying resolution
-//						maxEigen, // maximal eigenvalue of planes to consider
 						starSteps, // How far to look around when calculating connection cost
 						orthoWeight,
 						diagonalWeight,
@@ -4433,11 +4431,10 @@ public class SuperTiles{
 	}
 
 	
-	public boolean resolveStarConflict(
+	public boolean resolveStarConflict0(
 			int nsTile,
 			int nl1,
 			int nl2,
-//			int dir_mask,
 			TileSurface.TileNeibs tnSurface,
 			int [][][] conflicts,
 			Conflicts conflict_stats, // to be updated after applying resolution
@@ -4562,13 +4559,30 @@ public class SuperTiles{
 		
 		double [] variant_costs_diff = new double [neibs_vars.length];
 		for (int variant = 0; variant < neibs_vars.length; variant ++){
+			for (int isTile = 0; isTile < nsTiles.length; isTile++){
+				variant_conflicts[variant][isTile] = iconflicts.detectTriangularTileConflicts(
+						nsTiles[isTile],   // int nsTile0,
+						replacement_tiles, //HashMap<Integer,Integer> replacement_tiles, //
+						neibs_vars[variant], // neibs, // int [][][] replacement_neibs,
+						tnSurface); // TileSurface.TileNeibs tnSurface)
+			}
+			variant_conflicts_stats[variant] = new Conflicts(
+					variant_conflicts[variant],
+					this,
+					debugLevel - 1); // debugLevel);
+			variant_conflicts_stats[variant].subConflicts(iconflicts); // subtract old number of different types of conflicts
 			if (debugLevel > 1) {
 				System.out.println("resolveStarConflict(): resolving conflict for tile "+nsTile+
 						", nl1 = "+nl1+
 						", nl2 = "+nl2 +
-						", variant = "+variant);
+						", variant = "+variant+
+						", num_conflicts diff = "+variant_conflicts_stats[variant].getNumConflicts()
+						);
 				
 			}
+			if (!newConfl && (variant_conflicts_stats[variant].getNumConflicts() > 0)){
+				continue;
+			}
 			variant_costs_diff[variant] = 	connectionCosts.getConnectionsCostDiff(
 					neibs_vars[variant],
 					debugLevel);
@@ -4577,23 +4591,11 @@ public class SuperTiles{
 				System.out.println("resolveStarConflict(): resolving conflict for tile "+nsTile+
 						", nl1 = "+nl1+
 						", nl2 = "+nl2 +
-						", variant = "+variant+" improvement (negative diff) = "+variant_costs_diff[variant]);
+						", variant = "+variant+" improvement (negative diff) = "+variant_costs_diff[variant]+
+						", num_conflicts diff = "+variant_conflicts_stats[variant].getNumConflicts());
 			}
 			
 			
-			for (int isTile = 0; isTile < nsTiles.length; isTile++){
-				variant_conflicts[variant][isTile] = iconflicts.detectTriangularTileConflicts(
-						nsTiles[isTile],   // int nsTile0,
-						replacement_tiles, //HashMap<Integer,Integer> replacement_tiles, //
-						neibs_vars[variant], // neibs, // int [][][] replacement_neibs,
-						tnSurface); // TileSurface.TileNeibs tnSurface)
-			}
-			variant_conflicts_stats[variant] = new Conflicts(
-					variant_conflicts[variant],
-					this,
-					debugLevel - 1); // debugLevel);
-			variant_conflicts_stats[variant].subConflicts(iconflicts); // subtract old number of different types of conflicts
-			
 			if (debugLevel > 0) { // -1) {
 				variant_conflicts_stats[variant].printConflictSummary(
 						"Conflicts difference after resolution:", true, true, false);
@@ -4603,6 +4605,7 @@ public class SuperTiles{
 		int best_variant = -1;
 		int best_ignore_conflicts = -1;
 		int [][] num_better_worse = new int [neibs_vars.length][2];
+		/*
 		for (int variant = 0; variant < neibs_vars.length; variant ++){
 			int num_worse = variant_conflicts_stats[variant].numBetterWorse(
 					false, // boolean better,
@@ -4630,6 +4633,24 @@ public class SuperTiles{
 				best_ignore_conflicts = variant;
 			}
 		}
+*/
+		int [] num_var_conflicts = new int [neibs_vars.length];
+		for (int variant = 0; variant < neibs_vars.length; variant ++){
+//			int num_conflicts = variant_conflicts_stats[variant].getNumConflicts();
+			num_var_conflicts[variant] = variant_conflicts_stats[variant].getNumConflicts();
+			if ((num_var_conflicts[variant] <= 0) &&
+					(variant_costs_diff[variant] <= dblTriLoss) && // not too worse
+					((variant_costs_diff[variant] < 0) || (num_var_conflicts[variant] < 0)) && // either 
+					((best_variant < 0) ||
+							(num_var_conflicts[variant] < num_var_conflicts[best_variant]) ||
+							((num_var_conflicts[variant] == num_var_conflicts[best_variant]) && 
+									(variant_costs_diff[variant] < variant_costs_diff[best_variant])))){
+				best_variant = variant;
+			}
+			if ((best_ignore_conflicts <0) || (variant_costs_diff[variant] < variant_costs_diff[best_ignore_conflicts])){
+				best_ignore_conflicts = variant;
+			}
+		}
 
 		if (debugLevel > 1){
 			System.out.println("resolveStarConflict(): for tile "+nsTile);
@@ -4655,7 +4676,8 @@ public class SuperTiles{
 				System.out.println("resolveStarConflict(): SUCCESS to find a sutable solution for tile "+nsTile+
 						", nl1 = "+nl1+
 						", nl2 = "+nl2 +". Of "+ neibs_vars.length+" variants - use variant # " + best_variant+
-						" cost difference (negative) = "+variant_costs_diff[best_variant]+" num conflict reductions = "+num_better_worse[best_variant][0]);
+						" cost difference (negative) = "+variant_costs_diff[best_variant]+
+						" num conflict reductions = "+(-num_var_conflicts[best_variant])+" (old "+num_better_worse[best_variant][0]+")");
 				variant_conflicts_stats[best_variant].printConflictSummary(
 						"Conflicts number change per type: ",
 						true, // use_all,
@@ -4697,7 +4719,404 @@ public class SuperTiles{
 		return true;
 	}
 
-//	
+	public boolean resolveStarConflict(
+			int nsTile,
+			int nl1,
+			int nl2,
+			TileSurface.TileNeibs tnSurface,
+			int [][][] conflicts,
+			Conflicts conflict_stats, // to be updated after applying resolution
+			int        starSteps, // How far to look around when calculationg connection cost
+			double     orthoWeight,
+			double     diagonalWeight,
+			double     starPwr, // Divide cost by number of connections to this power
+			double     dblTriLoss, //  When resolving double triangles allow minor degradation (0.0 - strict)
+			boolean    newConfl, // Allow more conflicts if overall cost is reduced
+			boolean    preferDisparity,
+			int        debugLevel)
+	{
+		
+		if (newConfl && (dblTriLoss > 0.0)){
+			dblTriLoss = 0.0; // require strict reducing of the cost if conflict increase is allowed
+		}
+		Conflicts iconflicts = new Conflicts(this); 
+
+		TwoLayerNeighbors twoLayerNeighbors = new TwoLayerNeighbors();
+		
+		for (int dir = -1; dir < 8; dir++){
+			int nt = tnSurface.getNeibIndex(nsTile, dir);
+			if ((nt >= 0) && (planes[nt] != null)) {
+				int [][] neibs =  new int [planes[nt].length][];
+				for (int nl = 0; nl < planes[nt].length; nl++) if ( planes[nt][nl] != null){
+					neibs[nl] =  planes[nt][nl].getNeibBest();
+				}
+				twoLayerNeighbors.setNeighbors(neibs,dir);
+			}
+		}
+		twoLayerNeighbors.setLayers(nl1, nl2);
+		if (debugLevel > 1) {
+			System.out.println("resolveStarConflict(): nsTile ="+nsTile+" nl1="+nl1+" nl2="+nl2);
+		}
+
+		int [][][][] neibs_vars_dir = twoLayerNeighbors.getNeighborVariants(debugLevel);		
+
+		int [] mod_supertiles = {nsTile};
+		mod_supertiles = getInvolvedSupertiles( // first mod_supertiles.length entries will be mod_supertiles[]
+				mod_supertiles,
+				tnSurface);
+
+		HashMap<Integer,Integer> replacement_tiles = new HashMap<Integer,Integer>();
+		for (int i = 0; i < mod_supertiles.length; i++){
+			replacement_tiles.put(mod_supertiles[i], new Integer(i));
+		}
+		
+		// up to 9 tiles
+		int [] indexToDir = new int[mod_supertiles.length];
+		for (int i = 0; i < indexToDir.length; i++) indexToDir[i] = -1;
+		for (int dir = -1; dir < 8; dir++){
+			int nindx = (dir < 0) ? 8 : dir; 
+			int nt = tnSurface.getNeibIndex(nsTile, dir);
+			int indx = -1;
+			Integer Indx = replacement_tiles.get(nt);
+			if (Indx == null){
+				System.out.println("resolveStarConflict(): nsTile = "+nsTile+" nindx="+nindx+" Indx == null ");
+			} else {
+				indx = Indx;
+			}
+			if (indx >= 0) {
+				indexToDir[indx] = nindx;
+			}
+		}
+		int [][][][] neibs_vars = new int [neibs_vars_dir.length][][][];
+		for (int variant = 0; variant < neibs_vars_dir.length; variant ++){
+			neibs_vars[variant] = new int [indexToDir.length][][];
+			for (int i = 0; i <indexToDir.length; i++){
+				if (indexToDir[i] >=0){
+					neibs_vars[variant][i] = neibs_vars_dir[variant][indexToDir[i]];
+				} else {
+					System.out.println("resolveStarConflict(): a BUG:  indexToDir["+i+"] = "+indexToDir[i]);
+				}
+			}
+		}
+		
+		// See how this application will influence number of conflicts
+		// All supertiles that may have different conflicts 
+		int [] nsTiles = getInvolvedSupertiles( // first mod_supertiles.length entries will be mod_supertiles[]
+				mod_supertiles,
+				tnSurface);
+
+		ConnectionCosts connectionCosts = new ConnectionCosts(
+				orthoWeight,
+				diagonalWeight,
+				starPwr,    // Divide cost by number of connections to this power
+				starSteps,
+				this.planes,
+				tnSurface,
+				preferDisparity);
+		
+		int [][][] neibs_prev = connectionCosts.initConnectionCosts(mod_supertiles);
+// connectionCosts now contains last calculated	val/weight pairs for broader array of tile data	
+		
+		int [][][] conflicts_old = new int [nsTiles.length][][];
+		double conflicts_old_cost = 0.0;
+		for (int isTile = 0; isTile < nsTiles.length; isTile++){
+			conflicts_old[isTile] = iconflicts.detectTriangularTileConflicts(
+					nsTiles[isTile],   // int nsTile0,
+					replacement_tiles, // HashMap<Integer,Integer> replacement_tiles, //
+					neibs_prev, // int [][][] replacement_neibs,
+					tnSurface); // TileSurface.TileNeibs tnSurface)
+// calculate cost of conflicts			
+			
+			conflicts_old_cost += iconflicts.getConflictsCost(
+					nsTiles[isTile],       // int           nsTile0,
+					1.0,                   // double        scaleStartEnd, // include start and and layer tiles in the center in overall cost for each triangle (1.0)
+					conflicts_old[isTile], // int [][]      conflicts, //
+					replacement_tiles,     // HashMap<Integer,Integer> replacement_tiles, // null is OK
+					neibs_prev,            // int [][][]    replacement_neibs,               // null OK if  replacement_tiles == null
+					connectionCosts,       // ConnectionCosts connectionCosts,
+					tnSurface); // TileSurface.TileNeibs tnSurface)
+
+			
+		}
+		if (debugLevel > 1) {
+			System.out.println("Sum of old conflict costs around " + nsTile + " is "+conflicts_old_cost);
+			System.out.println("Involved supertiles:");
+			for (int i = 0; i < nsTiles.length; i++){
+				System.out.println(i+":"+nsTiles[i]);
+			}
+		}
+
+		if (debugLevel > 1) {
+			System.out.println("Calculating original conflicts");
+		}
+
+		iconflicts.addConflicts(conflicts_old,
+				debugLevel - 1); // debugLevel);
+		// After getting old (referfence data) iterate through all variants, for each calculate cost and number of conflicts.
+		// First - just collect data - cost and full statistics of the conflicts, print them
+		// Then select the best one (not incrementing number of conflicts? and reducing cost)
+		int [][][][] variant_conflicts = new int [neibs_vars.length][nsTiles.length][][];
+		
+		Conflicts [] variant_conflicts_stats = new Conflicts [neibs_vars.length];
+
+		
+		double [] variant_costs_diff = new double [neibs_vars.length];
+		double [] conflicts_var_cost = new double [neibs_vars.length];
+		for (int variant = 0; variant < neibs_vars.length; variant ++){
+			// connections costs are needed before conflicts 
+			variant_costs_diff[variant] = 	connectionCosts.getConnectionsCostDiff(
+					neibs_vars[variant],
+					debugLevel);
+			conflicts_var_cost[variant] = 0.0; 
+			for (int isTile = 0; isTile < nsTiles.length; isTile++){
+				variant_conflicts[variant][isTile] = iconflicts.detectTriangularTileConflicts(
+						nsTiles[isTile],   // int nsTile0,
+						replacement_tiles, //HashMap<Integer,Integer> replacement_tiles, //
+						neibs_vars[variant], // neibs, // int [][][] replacement_neibs,
+						tnSurface); // TileSurface.TileNeibs tnSurface)
+				// connectionCosts now contains last calculated	val/weight pairs for broader array of tile data
+				conflicts_var_cost[variant] += iconflicts.getConflictsCost(
+						nsTiles[isTile],                    // int           nsTile0,
+						1.0,                                // double        scaleStartEnd, // include start and and layer tiles in the center in overall cost for each triangle (1.0)
+						variant_conflicts[variant][isTile], // int [][]      conflicts, //
+						replacement_tiles,                  // HashMap<Integer,Integer> replacement_tiles, // null is OK
+						neibs_vars[variant],                // int [][][]    replacement_neibs,               // null OK if  replacement_tiles == null
+						connectionCosts,                    // ConnectionCosts connectionCosts,
+						tnSurface);                         // TileSurface.TileNeibs tnSurface)
+			}
+			variant_conflicts_stats[variant] = new Conflicts(
+					variant_conflicts[variant],
+					this,
+					debugLevel - 1); // debugLevel);
+			variant_conflicts_stats[variant].subConflicts(iconflicts); // subtract old number of different types of conflicts
+			if (debugLevel > 1) {
+				System.out.println("resolveStarConflict(): resolving conflict for tile "+nsTile+
+						", nl1 = "+nl1+
+						", nl2 = "+nl2 +
+						", variant = "+variant+
+						"  conflit cost change = "+ (conflicts_var_cost[variant] - conflicts_old_cost)+
+						", num_conflicts diff = "+variant_conflicts_stats[variant].getNumConflicts()
+						);
+				
+// Initially do not process conflicts cost difference, just view it				
+			}
+/*			
+			if (!newConfl && (variant_conflicts_stats[variant].getNumConflicts() > 0)){
+				continue;
+			}
+*/			
+			
+			if (debugLevel > 0) {
+				System.out.println("resolveStarConflict(): resolving conflict for tile "+nsTile+
+						", nl1 = "+nl1+
+						", nl2 = "+nl2 +
+						", variant = "+variant+" improvement (negative diff) = "+variant_costs_diff[variant]+
+						"  conflit cost change = "+ (conflicts_var_cost[variant] - conflicts_old_cost)+
+						", num_conflicts diff = "+variant_conflicts_stats[variant].getNumConflicts());
+			}
+			
+			
+			if (debugLevel > 0) { // -1) {
+				variant_conflicts_stats[variant].printConflictSummary(
+						"Conflicts difference after resolution:", true, true, false);
+			}
+		}
+		// How to compare? 1 attempt: none of the conflicts get worse, some get better or cost goes down
+		int best_variant = -1;
+		int best_ignore_conflicts = -1;
+//		int [][] num_better_worse = new int [neibs_vars.length][2];
+		int [] num_var_conflicts = new int [neibs_vars.length];
+		
+		
+		for (int variant = 0; variant < neibs_vars.length; variant ++){
+			if (variant_costs_diff[variant] <= dblTriLoss) {
+				if  (conflicts_var_cost[variant] < conflicts_old_cost) {
+					if ((best_variant < 0) || (conflicts_var_cost[variant] < conflicts_var_cost[best_variant])) {
+						best_variant = variant;
+					}
+				}
+				if ((best_ignore_conflicts < 0) || (variant_costs_diff[variant] < variant_costs_diff[best_ignore_conflicts])){
+					best_ignore_conflicts = variant;
+				}
+			}
+		}
+
+		if (debugLevel > 1){
+			System.out.println("resolveStarConflict(): for tile "+nsTile);
+		}
+		
+		if ((best_variant < 0) && newConfl && (variant_costs_diff[best_ignore_conflicts] < 0)){ // should be cost improvement
+			best_variant = best_ignore_conflicts;
+			if (debugLevel > -1) {
+				System.out.println("resolveMultiTriangularConflict(): conflicts increase but cost decreases "+nsTile+
+						", nl1 = "+nl1+
+						", nl2 = "+nl2 +" of "+ neibs_vars.length+" variants");
+			}
+		}
+		if ((best_variant < 0) || (variant_costs_diff[best_variant] > dblTriLoss)){
+			if (debugLevel > -1) {
+				System.out.println("resolveMultiTriangularConflict(): FAILED find a sutable solution for tile "+nsTile+
+						", nl1 = "+nl1+
+						", nl2 = "+nl2 +" of "+ neibs_vars.length+" variants");
+				return false;
+			}
+		} else {
+			if (debugLevel > -1) {
+				System.out.println("resolveStarConflict(): SUCCESS to find a sutable solution for tile "+nsTile+
+						", nl1 = "+nl1+
+						", nl2 = "+nl2 +". Of "+ neibs_vars.length+" variants - use variant # " + best_variant+
+						"  conflit cost change = "+ (conflicts_var_cost[best_variant] - conflicts_old_cost)+
+						" cost difference (negative) = "+variant_costs_diff[best_variant]+
+						" num conflict reductions = "+(-num_var_conflicts[best_variant]));
+				variant_conflicts_stats[best_variant].printConflictSummary(
+						"Conflicts number change per type: ",
+						true, // use_all,
+						true, //use_odo,
+						true); // use_ood);
+				iconflicts.printConflictSummary(
+						"Conflicts before resolution: ",
+						true, // use_all,
+						true, //use_odo,
+						true); // use_ood);
+				// update statistics
+				conflict_stats.addConflicts(variant_conflicts_stats[best_variant]);
+
+				
+				// update conflict
+				for (int i = 0; i < nsTiles.length; i++){
+					conflicts[nsTiles[i]]=  variant_conflicts[best_variant][i];
+				}
+				
+				
+				// apply resolution
+				for (int i = 0; i < mod_supertiles.length; i++){
+					if (debugLevel > 1){
+						System.out.println("resolveStarConflict(): nsTile = "+nsTile+ "mod_supertiles["+i+"]="+mod_supertiles[i]);
+					}
+					if (neibs_vars[best_variant][i] != null) {
+						for (int nl = 0; nl < neibs_vars[best_variant][i].length; nl ++){
+							if (debugLevel > 1){
+								System.out.println("resolveStarConflict(): nl= = "+nl);
+							}
+							if (neibs_vars[best_variant][i][nl] != null){
+								planes[mod_supertiles[i]][nl].setNeibBest(neibs_vars[best_variant][i][nl]);
+							}
+						}
+					}
+				}
+				// recalculate starValueWeights for and around tiles with modified  neighbors (no outside connections changed )nsTiles
+				updateStarValueStrength(
+						nsTiles,          // final int []         mod_supertiles,
+						orthoWeight,      // final double         orthoWeight,
+						diagonalWeight,   // final double         diagonalWeight,
+						starPwr,          // final double         starPwr,    // Divide cost by number of connections to this power
+						starSteps,        // final int            steps,
+						planes,           // final TilePlanes.PlaneData [][] planes,
+						preferDisparity); // final boolean        preferDisparity)
+			}
+		}
+		return true;
+	}
+	
+	public void calcStarValueStrength(
+			final double         orthoWeight,
+			final double         diagonalWeight,
+			final double         starPwr,    // Divide cost by number of connections to this power
+			final int            steps,
+			final TilePlanes.PlaneData [][] planes,
+			final boolean        preferDisparity)
+	{
+		final int tilesX =        tileProcessor.getTilesX();
+		final int tilesY =        tileProcessor.getTilesY();
+		final int superTileSize = tileProcessor.getSuperTileSize();
+		//				final int tileSize =      tileProcessor.getTileSize();
+		final int stilesX =       (tilesX + superTileSize -1)/superTileSize;  
+		final int stilesY =       (tilesY + superTileSize -1)/superTileSize;
+		final int nStiles =       stilesX * stilesY; 
+		final TileSurface.TileNeibs tnSurface = tileSurface.new TileNeibs(stilesX, stilesY);
+		final Thread[] threads = ImageDtt.newThreadArray(tileProcessor.threadsMax);
+		final AtomicInteger ai = new AtomicInteger(0);
+		for (int ithread = 0; ithread < threads.length; ithread++) {
+			threads[ithread] = new Thread() {
+				public void run() {
+					ConnectionCosts connectionCosts = new ConnectionCosts(
+							orthoWeight,    // double         orthoWeight,
+							diagonalWeight, // double         diagonalWeight,
+							starPwr,        // double         starPwr,    // Divide cost by number of connections to this power
+							steps,          // int            steps,
+							planes,         // TilePlanes.PlaneData [][] planes,
+							tnSurface,      // TileSurface.TileNeibs tnSurface,
+							preferDisparity); // boolean preferDisparity)
+					int [] mod_supertiles = new int[1];
+					for (int nsTile = ai.getAndIncrement(); nsTile < nStiles; nsTile = ai.getAndIncrement()) {
+						if ( planes[nsTile] != null) {
+							mod_supertiles[0] = nsTile;
+							connectionCosts.initConnectionCosts(mod_supertiles);
+							double [][][] val_weights = connectionCosts.getValWeights();
+							for (int np = 0; np < planes[nsTile].length; np++){ // nu
+								if (planes[nsTile][np] != null) {
+									planes[nsTile][np].setStarValueWeight(val_weights[0][np]);
+								}
+							}
+						}
+					}
+				}
+			};
+		}		      
+		ImageDtt.startAndJoin(threads);
+	}
+
+	public void updateStarValueStrength(
+			final int []         mod_supertiles,
+			final double         orthoWeight,
+			final double         diagonalWeight,
+			final double         starPwr,    // Divide cost by number of connections to this power
+			final int            steps,
+			final TilePlanes.PlaneData [][] planes,
+			final boolean        preferDisparity)
+	{
+		final int tilesX =        tileProcessor.getTilesX();
+		final int tilesY =        tileProcessor.getTilesY();
+		final int superTileSize = tileProcessor.getSuperTileSize();
+		//				final int tileSize =      tileProcessor.getTileSize();
+		final int stilesX =       (tilesX + superTileSize -1)/superTileSize;  
+		final int stilesY =       (tilesY + superTileSize -1)/superTileSize;
+		final TileSurface.TileNeibs tnSurface = tileSurface.new TileNeibs(stilesX, stilesY);
+		final Thread[] threads = ImageDtt.newThreadArray(tileProcessor.threadsMax);
+		final AtomicInteger ai = new AtomicInteger(0);
+		for (int ithread = 0; ithread < threads.length; ithread++) {
+			threads[ithread] = new Thread() {
+				public void run() {
+					ConnectionCosts connectionCosts = new ConnectionCosts(
+							orthoWeight,    // double         orthoWeight,
+							diagonalWeight, // double         diagonalWeight,
+							starPwr,        // double         starPwr,    // Divide cost by number of connections to this power
+							steps,          // int            steps,
+							planes,         // TilePlanes.PlaneData [][] planes,
+							tnSurface,      // TileSurface.TileNeibs tnSurface,
+							preferDisparity); // boolean preferDisparity)
+					int [] mod_supertile = new int[1];
+					for (int isTile = ai.getAndIncrement(); isTile < mod_supertiles.length; isTile = ai.getAndIncrement()) {
+						int nsTile = mod_supertiles[isTile];
+						if ((nsTile >= 0) && ( planes[nsTile] != null)) {
+							mod_supertile[0] = nsTile;
+							connectionCosts.initConnectionCosts(mod_supertile);
+							double [][][] val_weights = connectionCosts.getValWeights();
+							for (int np = 0; np < planes[nsTile].length; np++){ // nu
+								if (planes[nsTile][np] != null) {
+									planes[nsTile][np].setStarValueWeight(val_weights[0][np]);
+								}
+							}
+						}
+					}
+				}
+			};
+		}		      
+		ImageDtt.startAndJoin(threads);
+	}
+	
+	
+	//	
 	/**
 	 * Generate variants for changing connections while preserving number of connections between each pair of tiles
 	 * each variant is free of own conflicts, but may lead to conflicts on other layers or tiles
@@ -4963,6 +5382,13 @@ public class SuperTiles{
 			int        dbg_Y)
 			
 	{
+		calcStarValueStrength(
+				orthoWeight,      // final double         orthoWeight,
+				diagonalWeight,   // final double         diagonalWeight,
+				starPwr,          // final double         starPwr,    // Divide cost by number of connections to this power
+				starSteps,        // final int            steps,
+				this.planes,      // final TilePlanes.PlaneData [][] planes,
+				preferDisparity); // final boolean        preferDisparity)
 		
 		Conflicts iconflicts0 = new Conflicts(this); 
 		int [][][] conflicts0 = iconflicts0.detectTriangularConflicts(
@@ -5511,80 +5937,6 @@ public class SuperTiles{
 		return value_weight;
 	}
 
-	/**
-	 * Calculate main eigenvalue of the current plane and all connected ones - used to estimate advantage of connection swap
-	 * This version uses two steps - not only directly connected, but neighbors' neighbors also, multiple paths to the same
-	 * tile add together.
-	 * @param nsTile supertile index
-	 * @param nl surface layer
-	 * @param neibs array of 8 neighbors layers (N,NE,...NW), -1 - not connected
-	 * @param neibs2 2-d array of 8 neighbors' neighbors layers (N,NE,...NW), -1 - not connected
-	 * @param orthoWeight multiply contribution of ortho neighbors
-	 * @param diagonalWeight  multiply contribution of diagonal neighbors
-	 * @param diagonalWeight  divide value by number of connections to this power (if !=0)
-	 * @param tnSurface TileNeibs instance to navigate tile index and control array borders
-	 * @param preferDisparity - the first eigenvalue/vector is the most disparity-like
-	 *                          (false - smallest eigenvalue)
-	 * @param debugLevel
-	 * @return a pair of eigenvalue of the combine plane and its weight
-	 */
-	
-/*	
-	public double [] getStarValueWeight(
-			int    nsTile,
-			int    nl,
-			int [] neibs,
-			int [][] neibs2, // neighbors' neighbors
-			double orthoWeight,
-			double diagonalWeight,
-			double starPwr,    // Divide cost by number of connections to this power
-			TileSurface.TileNeibs tnSurface,
-			boolean preferDisparity,
-			int    debugLevel)
-	{
-		double [] dir_weight = {orthoWeight,  diagonalWeight, orthoWeight,  diagonalWeight, orthoWeight,  diagonalWeight, orthoWeight,  diagonalWeight};
-		HashMap<Point, Double> tile_weights = new HashMap<Point, Double>();
-		for (int dir = 0; dir < 8; dir++){
-			int nl1 =  neibs[dir];
-			if (nl1 >= 0){
-				int nsTile1 = tnSurface.getNeibIndex(nsTile, dir);
-				double weight1 = dir_weight[dir];
-				tile_weights.put(new Point(nsTile1, nl1), new Double(weight1)); // no need to check for existence here
-				for (int dir1 = 0; dir1 < 8; dir1++){
-					if ((dir1 != dir) && (neibs2[dir]!= null)){
-						 int nl2 =neibs2[dir][dir1];
-						 if (nl2 >= 0){
-							 Point p = new Point (tnSurface.getNeibIndex(nsTile1, dir1), nl2);
-							 Double w0 = tile_weights.get(p);
-							 double weight2 = dir_weight[dir1]*weight1;
-							 if (w0 != null) weight2 += w0;
-							 tile_weights.put(p, new Double(weight2));
-						 }
-					}
-				}
-			}
-		}
-		TilePlanes.PlaneData merged_plane =  planes[nsTile][nl]; // center point
-		for (HashMap.Entry<Point, Double> entry : tile_weights.entrySet()){
-			TilePlanes.PlaneData other_plane = merged_plane.getPlaneToThis(  // layer here does not matter
-					planes[entry.getKey().x][entry.getKey().y],
-					debugLevel - 1); // debugLevel);
-			merged_plane = merged_plane.mergePlaneToThis(
-					other_plane,      // PlaneData otherPd,
-					entry.getValue(), // double    scale_other,
-					false,           // boolean   ignore_weights,
-					true,            // boolean   sum_weights,
-					preferDisparity, 
-					debugLevel - 1); // int       debugLevel)
-		}
-		double [] value_weight = {merged_plane.getValue(),merged_plane.getWeight()};
-		if (starPwr != 0){
-			value_weight[0] /= (Math.pow(tile_weights.size() + 1.0, starPwr));
-		}
-		return value_weight;
-	}
-	
-*/	
 	/**
 	 * Calculate array of supertile indices that need to have connection cost recalculated when they are updated
 	 * first entries of the result will be the same in input array

src/main/java/TilePlanes.java

@@ -82,6 +82,7 @@ public class TilePlanes {
 		int          smplNum  = 3;      // Number after removing worst
 		double       smplRms  = 0.1;    // Maximal RMS of the remaining tiles in a sample
 		
+		double [] starValueWeight = null; 
 		
 		boolean      preferDisparity = false;
 		
@@ -133,9 +134,29 @@ public class TilePlanes {
 			pd.preferDisparity =       this.preferDisparity;
 			
 			copyNeib(this,pd);
+			
+			if (starValueWeight != null){
+				pd.starValueWeight = starValueWeight.clone();
+			}
 			return pd;
 		}
 		
+		public void setStarValueWeight(double value, double weight){
+			this.starValueWeight = new double[2];
+			this.starValueWeight[0] = value;
+			this.starValueWeight[1] = weight;
+		}
+
+		public void setStarValueWeight(double[] val_weight){
+			this.starValueWeight = val_weight;
+		}
+
+		public double [] getStarValueWeight()
+		{
+			return starValueWeight;
+		}
+		
+		
 		public void setSelMask (boolean []sel_mask)
 		{
 			this.sel_mask = sel_mask;

src/main/java/TileProcessor.java

@@ -3445,6 +3445,25 @@ public class TileProcessor {
 				1, // final int debugLevel)
 				clt_parameters.tileX,
 				clt_parameters.tileY);
+/*
+		st.resolveConflicts(
+				clt_parameters.plMaxEigen,
+				clt_parameters.plConflDualTri, // boolean    conflDualTri,  // Resolve dual triangles conflict (odoodo)
+				clt_parameters.plConflMulti,   // boolean    conflMulti,    // Resolve multiple odo triangles conflicts
+				clt_parameters.plConflDiag,	   // boolean    conflDiag,     // Resolve diagonal (ood) conflicts
+				clt_parameters.plConflStar,    // boolean    conflStar,     // Resolve all conflicts around a supertile 
+				clt_parameters.plStarSteps,    // int starSteps, // How far to look around when calculationg connection cost
+				clt_parameters.plStarOrtho,    // double     orthoWeight,
+				clt_parameters.plStarDiag,     // double     diagonalWeight,
+				clt_parameters.plStarPwr,      // double     starPwr, // Divide cost by number of connections to this power
+				clt_parameters.plDblTriLoss,   // double     diagonalWeight,
+				true, // clt_parameters.plNewConfl, // Allow more conflicts if overall cost is reduced
+				clt_parameters.plPreferDisparity,
+				1, // final int debugLevel)
+				clt_parameters.tileX,
+				clt_parameters.tileY);
+*/		
+		
 		
 		if (clt_parameters.plSplitApply) {
 			while (true) {

src/main/java/TwoLayerNeighbors.java

@@ -154,9 +154,29 @@ public class TwoLayerNeighbors {
 			if (old_nl1 >= 0){
 				neibs_start[old_nl1][dir12] = old_nl2; // (old_nl2 may be -1 here)
 			}
+		}
+		
+		public int getConnection(
+				int dir,
+				int nl,
+				int dir2)
+		{
+			int [][] neibs_start = getNeighbors(dir);
+			int dir12 = getDir2From1(dir, dir2);
+			if (dir12 <0){
+				throw new IllegalArgumentException ("Invalid connection from "+dir+" to "+dir2+": resulted in direction 1->2 = "+dir12);
+			}
+			if (neibs_start.length <= nl){
+				System.out.println("BUG");
+				return -1;
+			}
+			return neibs_start[nl][dir12];
 
 		}
 
+		
+		
+		
 		public void diffToOther(NeibVariant other_variant)
 		{
 			for (int dir0 = 0; dir0 <  neighbors.length; dir0++){
@@ -200,8 +220,8 @@ public class TwoLayerNeighbors {
 			// increment connection variant if possible
 			for (int np = 0; np < PAIRS.length; np++){
 				if ((num_se[np] != null) && (num_se[np][0] == 2) && (num_se[np][1] == 2) && (conns[np] != null) && (conns[np].length == 1)){
-					if (selection_conns[np] == 0){
-						selection_conns[np] = 1;
+					if (selection_conns[np] < 2){
+						selection_conns[np]++; //  = 1;
 						for (int i = 0; i < np; i ++){
 							selection_conns[i] = 0;
 						}
@@ -275,7 +295,9 @@ public class TwoLayerNeighbors {
 
 			int start_dir = PAIRS[np][0];
 			int end_dir =   PAIRS[np][1];
-			boolean swap = (selection_star[start_dir] != selection_star[end_dir]) ^ (selection_conns[np] > 0);
+			
+			
+			boolean swap = (selection_star[start_dir] != selection_star[end_dir]) ^ (selection_conns[np] == 1);
 			int [] opts = {0,0};
 			if (swap){
 				if (num_se[np][0] > 1){
@@ -290,6 +312,23 @@ public class TwoLayerNeighbors {
 					end_dir, // int dir2,
 					layers_around[end_dir][opts[1]], // int nl2);
 					debugLevel);
+			if (selection_conns[np] > 1){
+				// add 3-rd variant if possible, if not - return null
+				// if at least one of the unused ends has a pair - connect other ends
+				int nl_start_other = layers_around[start_dir][1-opts[0]];
+				int nl_end_other =   layers_around[end_dir][1-opts[1]];
+				if (    (variant.getConnection(start_dir,nl_start_other,end_dir) >= 0) ||
+						(variant.getConnection(end_dir,nl_end_other,start_dir) >= 0)) {
+					variant.connect(
+							start_dir, // 	int dir1,
+							nl_start_other, // int nl1,
+							end_dir, // int dir2,
+							nl_end_other, // int nl2);
+							debugLevel);
+				} else {
+					return null; // failed to swap connection - other ends are both not connected
+				}
+			}
 		}
 		if (debugLevel > 1){
 			System.out.println();