/**
* This is used when a copy of the puzzle is needed, such that updates to the returned puzzle will
* not affect the original.
*
* @return An exact copy of this Puzzle.
*/
public Puzzle clone() {
Puzzle clonedPuzzle = new Puzzle();
for (int r = 0; r < 9; r++) {
for (int c = 0; c < 9; c++) {
Cell thisCell = this.getCell(r, c).clone();
clonedPuzzle.rows.get(r).setCell(c, thisCell);
clonedPuzzle.cols.get(c).setCell(r, thisCell);
clonedPuzzle.boxes.get(this.boxNumber(r, c)).setCell(this.boxPosition(r, c), thisCell);
}
}
clonedPuzzle.cardinality = this.cardinality;
return clonedPuzzle;
}
/**
* Returns <tt>true</tt> if and only if this state is considered equal to the given object. In
* particular, equality is defined to hold if the given object is also a <tt>State</tt> object, if
* it is associated with the same <tt>Puzzle</tt> object, and if the cars in both states are in
* the identical positions. This method overrides <tt>Object.equals</tt>.
*/
public boolean equals(Object o) {
State s;
try {
s = (State) o;
} catch (ClassCastException e) {
return false;
}
if (hashcode != s.hashcode || !puzzle.equals(s.puzzle)) return false;
for (int i = 0; i < varPos.length; i++) if (varPos[i] != s.varPos[i]) return false;
return true;
}
/**
* Computes a grid representation of the state. In particular, an nxn two-dimensional integer
* array is computed and returned, where n is the size of the puzzle grid. The <tt>(i,j)</tt>
* element of this grid is equal to -1 if square <tt>(i,j)</tt> is unoccupied, and otherwise
* contains the index of the car occupying this square. Note that the grid is recomputed each time
* this method is called.
*/
public int[][] getGrid() {
int gridsize = puzzle.getGridSize();
int grid[][] = new int[gridsize][gridsize];
for (int i = 0; i < gridsize; i++) for (int j = 0; j < gridsize; j++) grid[i][j] = -1;
int num_cars = puzzle.getNumCars();
for (int v = 0; v < num_cars; v++) {
boolean orient = puzzle.getCarOrient(v);
int size = puzzle.getCarSize(v);
int fp = puzzle.getFixedPosition(v);
if (v == 0 && varPos[v] + size > gridsize) size--;
if (orient) {
for (int d = 0; d < size; d++) grid[fp][varPos[v] + d] = v;
} else {
for (int d = 0; d < size; d++) grid[varPos[v] + d][fp] = v;
}
}
return grid;
}
/**
* Computes all of the states immediately reachable from this state and returns them as an array
* of states. You probably will not need to use this method directly, since ordinarily you will be
* expanding <tt>Node</tt>s, not <tt>State</tt>s.
*/
public State[] expand() {
int gridsize = puzzle.getGridSize();
int grid[][] = getGrid();
int num_cars = puzzle.getNumCars();
ArrayList<State> new_states = new ArrayList<State>();
for (int v = 0; v < num_cars; v++) {
int p = varPos[v];
int fp = puzzle.getFixedPosition(v);
boolean orient = puzzle.getCarOrient(v);
for (int np = p - 1; np >= 0 && (orient ? grid[fp][np] : grid[np][fp]) < 0; np--) {
int[] newVarPos = (int[]) varPos.clone();
newVarPos[v] = np;
new_states.add(new State(puzzle, newVarPos));
}
int carsize = puzzle.getCarSize(v);
for (int np = p + carsize;
(np < gridsize && (orient ? grid[fp][np] : grid[np][fp]) < 0)
|| (v == 0 && np == gridsize);
np++) {
int[] newVarPos = (int[]) varPos.clone();
newVarPos[v] = np - carsize + 1;
new_states.add(new State(puzzle, newVarPos));
}
}
puzzle.incrementSearchCount(new_states.size());
return (State[]) new_states.toArray(new State[0]);
}
public Generator(int width, int height, double countrySize, String pathSolver) {
this.width = width;
this.height = height;
this.countrySize = countrySize;
int countryID = 1;
puzzle = new Puzzle(width, height, pathSolver);
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
if (puzzle.getCountry(x, y) == -1) {
settingBoarders(new Pair(x, y), countryID);
countryID++;
}
}
}
shuffled = new Shuffler(puzzle, width, height);
puzzle.print();
Puzzle copy = puzzle.clonePuzzle();
copy.generateSMTPiping();
}
/** Prints to standard output a primitive text representation of the state. */
public void print() {
int grid[][] = getGrid();
int gridsize = puzzle.getGridSize();
System.out.print("+-");
for (int x = 0; x < gridsize; x++) {
System.out.print("--");
}
System.out.println("+");
for (int y = 0; y < gridsize; y++) {
System.out.print("| ");
for (int x = 0; x < gridsize; x++) {
int v = grid[x][y];
if (v < 0) {
System.out.print(". ");
} else {
int size = puzzle.getCarSize(v);
if (puzzle.getCarOrient(v)) {
System.out.print((y == varPos[v] ? "^ " : ((y == varPos[v] + size - 1) ? "v " : "| ")));
} else {
System.out.print(x == varPos[v] ? "< " : ((x == varPos[v] + size - 1) ? "> " : "- "));
}
}
}
System.out.println(
(puzzle.getCarOrient(0) || y != puzzle.getFixedPosition(0))
? "|"
: (isGoal() ? ">" : " "));
}
System.out.print("+-");
for (int x = 0; x < gridsize; x++) {
System.out.print(
(!puzzle.getCarOrient(0) || x != puzzle.getFixedPosition(0))
? "--"
: (isGoal() ? "v-" : " -"));
}
System.out.println("+");
}
/** Returns true if and only if this state is a goal state. */
public boolean isGoal() {
return (varPos[0] == puzzle.getGridSize() - 1);
}
private void computeHashCode() {
hashcode = puzzle.hashCode();
for (int i = 0; i < varPos.length; i++) hashcode = 31 * hashcode + varPos[i];
}
public void settingBoarders(Pair pair, int countryID) {
OwnList activeFields = new OwnList();
OwnList aboutToAdd = new OwnList();
OwnList countryPairs = new OwnList();
double probability = this.countrySize;
Random rand = new Random();
activeFields.add(pair);
countryPairs.add(pair);
while (!activeFields.isEmpty()) {
ListIterator<Pair> activeFieldIterator = activeFields.listIterator();
Pair nextPair;
while (activeFieldIterator.hasNext()) {
nextPair = activeFieldIterator.next();
activeFieldIterator.remove();
// checking up, down, left, right for possible neighbours
// up
int x = nextPair.getElement0();
int y = nextPair.getElement1() - 1;
if (x >= 0 && y >= 0 && x < this.width && y < this.height && puzzle.getCountry(x, y) < 0) {
if (rand.nextDouble() <= probability) {
aboutToAdd.add(new Pair(x, y));
if (!countryPairs.contains(new Pair(x, y))) {
countryPairs.add(new Pair(x, y));
}
}
}
// down
x = nextPair.getElement0();
y = nextPair.getElement1() + 1;
if (x >= 0 && y >= 0 && x < this.width && y < this.height && puzzle.getCountry(x, y) < 0) {
if (rand.nextDouble() <= probability) {
aboutToAdd.add(new Pair(x, y));
if (!countryPairs.contains(new Pair(x, y))) {
countryPairs.add(new Pair(x, y));
}
}
}
// left
x = nextPair.getElement0() - 1;
y = nextPair.getElement1();
if (x >= 0 && y >= 0 && x < this.width && y < this.height && puzzle.getCountry(x, y) < 0) {
if (rand.nextDouble() <= probability) {
aboutToAdd.add(new Pair(x, y));
if (!countryPairs.contains(new Pair(x, y))) {
countryPairs.add(new Pair(x, y));
}
}
}
// right
x = nextPair.getElement0() + 1;
y = nextPair.getElement1();
if (x >= 0 && y >= 0 && x < this.width && y < this.height && puzzle.getCountry(x, y) < 0) {
if (rand.nextDouble() <= probability) {
aboutToAdd.add(new Pair(x, y));
if (!countryPairs.contains(new Pair(x, y))) {
countryPairs.add(new Pair(x, y));
}
}
}
activeFields.remove(nextPair);
}
// reducing the probability of adding a field for the next iteration
probability = probability * probability;
ListIterator<Pair> addIterator = aboutToAdd.listIterator();
while (addIterator.hasNext()) {
activeFields.add(addIterator.next());
addIterator.remove();
}
aboutToAdd.clear();
}
// Adding the new country with its ID to the Puzzle
Pair[] countryPairsArray = countryPairs.toArray();
puzzle.setCountry(countryPairsArray, countryID);
// Randomly pick a Field in the country to define the circle there. The CircleID equals the
// CountryID. Value is not set yet.
puzzle.setCircle(countryPairsArray[rand.nextInt(countryPairsArray.length)], -1, countryID);
}
