Problem: The goal of the 15 puzzle problem is to complete pieces on $4 \times 4$ cells where one of the cells is empty space.

In this problem, the space is represented by 0 and pieces are represented by integers from 1 to 15 as shown below.


1 2 3 4
6 7 8 0
5 10 11 12
9 13 14 15


You can move a piece toward the empty space at one step. Your goal is to make the pieces the following configuration in the shortest move (fewest steps).


1 2 3 4
5 6 7 8
9 10 11 12
13 14 15 0


Write a program which reads an initial state of the puzzle and prints the fewest steps to solve the puzzle.

Constraints

* The given puzzle is solvable in at most 45 steps.

Input

The $4 \times 4$ integers denoting the pieces or space are given.

Output

Print the fewest steps in a line.

Example

Input

1 2 3 4
6 7 8 0
5 10 11 12
9 13 14 15


Output

8

Solution (in PYTHON3):

Solution:
board = [int(s) for _ in range(4) for s in input().split()]
move_piece = [None] * 46
GOAL = list(range(1, 16)) + [0]
def create_adjacent(h, w):
    adjacent = [[] for _ in range(h * w)]
    for i in range(h * w):
        if i % w != w - 1:
            adjacent[i].append(i + 1)
        if i % w != 0:
            adjacent[i].append(i - 1)
        if i // h < h - 1:
            adjacent[i].append(i + w)
        if i // h > 0:
            adjacent[i].append(i - w)
    return adjacent

def id_search(limit, move, space, lower):
    if move == limit:
        if board == GOAL:
            global count
            count += 1
            # print(move_piece[1:])
            print(move)
            exit()
    else:
        for x in adjacent[space]:
            p = board[x]
            if move_piece[move] == p:
                continue
            board[space], board[x] = p, 0
            move_piece[move + 1] = p
            new_lower = lower - distance[p][x] + distance[p][space]
            # 下限値枝刈り法
            if new_lower + move <= limit:
                id_search(limit, move + 1, x, new_lower)
            # もとに戻す
            board[space], board[x] = 0, p

def create_distance(h, w):
    distance = [[0] * h * w for _ in range(h * w)]
    for i in range(h * w):
        if i == 0:
            continue
        ye, xe = divmod(i - 1, w)
        for j in range(h * w):
            y, x = divmod(j, w)
            distance[i][j] = abs(ye - y) + abs(xe - x)
    return distance

def get_distance(board):
    v = 0
    for x in range(len(board)):
        p = board[x]
        if p == 0:
            continue
        v += distance[p][x]
    return v

adjacent = create_adjacent(4, 4)
# print(adjacent)
distance = create_distance(4, 4)
# print(distance)
n = get_distance(board)
count = 0
for x in range(n, 46):
    # print('move', x)
    id_search(x, 0, board.index(0), n)
    if count > 0:
        break