Task: 15 puzzle solver


C++: 
class fifteenSolver{
  const int Nr[16]{3,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3}, Nc[16]{3,0,1,2,3,0,1,2,3,0,1,2,3,0,1,2};
  int n{},_n{}, N0[100]{},N3[100]{},N4[100]{};
  unsigned long N2[100]{};
  const bool fY(){
    if (N4[n]<_n) return fN();
    if (N2[n]==0x123456789abcdef0) {std::cout<<"Solution found in "<<n<<" moves :"; for (int g{1};g<=n;++g) std::cout<<(char)N3[g]; std::cout<<std::endl; return true;};
    if (N4[n]==_n) return fN(); else return false;
  }
  const bool                     fN(){
    if (N3[n]!='u' && N0[n]/4<3){fI(); ++n; if (fY()) return true; --n;}
    if (N3[n]!='d' && N0[n]/4>0){fG(); ++n; if (fY()) return true; --n;}
    if (N3[n]!='l' && N0[n]%4<3){fE(); ++n; if (fY()) return true; --n;}
    if (N3[n]!='r' && N0[n]%4>0){fL(); ++n; if (fY()) return true; --n;}
    return false;
  }
  void fI(){
    const int           g = (11-N0[n])*4;
    const unsigned long a = N2[n]&((unsigned long)15<<g);
    N0[n+1]=N0[n]+4; N2[n+1]=N2[n]-a+(a<<16); N3[n+1]='d'; N4[n+1]=N4[n]+(Nr[a>>g]<=N0[n]/4?0:1);
  } 
  void fG(){
    const int           g = (19-N0[n])*4;
    const unsigned long a = N2[n]&((unsigned long)15<<g);
    N0[n+1]=N0[n]-4; N2[n+1]=N2[n]-a+(a>>16); N3[n+1]='u'; N4[n+1]=N4[n]+(Nr[a>>g]>=N0[n]/4?0:1);
  } 
  void fE(){
    const int           g = (14-N0[n])*4;
    const unsigned long a = N2[n]&((unsigned long)15<<g);
    N0[n+1]=N0[n]+1; N2[n+1]=N2[n]-a+(a<<4); N3[n+1]='r'; N4[n+1]=N4[n]+(Nc[a>>g]<=N0[n]%4?0:1);
  } 
  void fL(){
    const int           g = (16-N0[n])*4;
    const unsigned long a = N2[n]&((unsigned long)15<<g);
    N0[n+1]=N0[n]-1; N2[n+1]=N2[n]-a+(a>>4); N3[n+1]='l'; N4[n+1]=N4[n]+(Nc[a>>g]>=N0[n]%4?0:1);
  }
public:
  fifteenSolver(int n, unsigned long g){N0[0]=n; N2[0]=g;}
  void Solve(){for(;not fY();++_n);}
};






Python: import random


class IDAStar:
    def __init__(self, h, neighbours):
        

        self.h = h
        self.neighbours = neighbours
        self.FOUND = object()


    def solve(self, root, is_goal, max_cost=None):
        

        self.is_goal = is_goal
        self.path = [root]
        self.is_in_path = {root}
        self.path_descrs = []
        self.nodes_evaluated = 0

        bound = self.h(root)

        while True:
            t = self._search(0, bound)
            if t is self.FOUND: return self.path, self.path_descrs, bound, self.nodes_evaluated
            if t is None: return None
            bound = t

    def _search(self, g, bound):
        self.nodes_evaluated += 1

        node = self.path[-1]
        f = g + self.h(node)
        if f > bound: return f
        if self.is_goal(node): return self.FOUND

        m = None 
        for cost, n, descr in self.neighbours(node):
            if n in self.is_in_path: continue

            self.path.append(n)
            self.is_in_path.add(n)
            self.path_descrs.append(descr)
            t = self._search(g + cost, bound)

            if t == self.FOUND: return self.FOUND
            if m is None or (t is not None and t < m): m = t

            self.path.pop()
            self.path_descrs.pop()
            self.is_in_path.remove(n)

        return m


def slide_solved_state(n):
    return tuple(i % (n*n) for i in range(1, n*n+1))

def slide_randomize(p, neighbours):
    for _ in range(len(p) ** 2):
        _, p, _ = random.choice(list(neighbours(p)))
    return p

def slide_neighbours(n):
    movelist = []
    for gap in range(n*n):
        x, y = gap % n, gap // n
        moves = []
        if x > 0: moves.append(-1)    
        if x < n-1: moves.append(+1)  
        if y > 0: moves.append(-n)    
        if y < n-1: moves.append(+n)  
        movelist.append(moves)

    def neighbours(p):
        gap = p.index(0)
        l = list(p)

        for m in movelist[gap]:
            l[gap] = l[gap + m]
            l[gap + m] = 0
            yield (1, tuple(l), (l[gap], m))
            l[gap + m] = l[gap]
            l[gap] = 0

    return neighbours

def slide_print(p):
    n = int(round(len(p) ** 0.5))
    l = len(str(n*n))
    for i in range(0, len(p), n):
        print(" ".join("{:>{}}".format(x, l) for x in p[i:i+n]))

def encode_cfg(cfg, n):
    r = 0
    b = n.bit_length()
    for i in range(len(cfg)):
        r |= cfg[i] << (b*i)
    return r


def gen_wd_table(n):
    goal = [[0] * i + [n] + [0] * (n - 1 - i) for i in range(n)]
    goal[-1][-1] = n - 1
    goal = tuple(sum(goal, []))

    table = {}
    to_visit = [(goal, 0, n-1)]
    while to_visit:
        cfg, cost, e = to_visit.pop(0)
        enccfg = encode_cfg(cfg, n)
        if enccfg in table: continue
        table[enccfg] = cost

        for d in [-1, 1]:
            if 0 <= e + d < n:
                for c in range(n):
                    if cfg[n*(e+d) + c] > 0:
                        ncfg = list(cfg)
                        ncfg[n*(e+d) + c] -= 1
                        ncfg[n*e + c] += 1
                        to_visit.append((tuple(ncfg), cost + 1, e+d))

    return table

def slide_wd(n, goal):
    wd = gen_wd_table(n)
    goals = {i : goal.index(i) for i in goal}
    b = n.bit_length()

    def h(p):
        ht = 0 
        vt = 0 
        d = 0
        for i, c in enumerate(p):
            if c == 0: continue
            g = goals[c]
            xi, yi = i % n, i // n
            xg, yg = g % n, g // n
            ht += 1 << (b*(n*yi+yg))
            vt += 1 << (b*(n*xi+xg))

            if yg == yi:
                for k in range(i + 1, i - i%n + n): 
                    if p[k] and goals[p[k]] // n == yi and goals[p[k]] < g:
                        d += 2

            if xg == xi:
                for k in range(i + n, n * n, n): 
                    if p[k] and goals[p[k]] % n == xi and goals[p[k]] < g:
                        d += 2

        d += wd[ht] + wd[vt]

        return d
    return h




if __name__ == "__main__":
    solved_state = slide_solved_state(4)
    neighbours = slide_neighbours(4)
    is_goal = lambda p: p == solved_state

    tests = [
        (15, 14, 1, 6, 9, 11, 4, 12, 0, 10, 7, 3, 13, 8, 5, 2),
    ]

    slide_solver = IDAStar(slide_wd(4, solved_state), neighbours)

    for p in tests:
        path, moves, cost, num_eval = slide_solver.solve(p, is_goal, 80)
        slide_print(p)
        print(", ".join({-1: "Left", 1: "Right", -4: "Up", 4: "Down"}[move[1]] for move in moves))
        print(cost, num_eval)