Problem:
Score: 500 points

Problem Statement

New AtCoder City has an infinite grid of streets, as follows:

At the center of the city stands a clock tower. Let (0, 0) be the coordinates of this point.

A straight street, which we will call East-West Main Street, runs east-west and passes the clock tower. It corresponds to the x-axis in the two-dimensional coordinate plane.

There are also other infinitely many streets parallel to East-West Main Street, with a distance of 1 between them. They correspond to the lines \ldots, y = -2, y = -1, y = 1, y = 2, \ldots in the two-dimensional coordinate plane.

A straight street, which we will call North-South Main Street, runs north-south and passes the clock tower. It corresponds to the y-axis in the two-dimensional coordinate plane.

There are also other infinitely many streets parallel to North-South Main Street, with a distance of 1 between them. They correspond to the lines \ldots, x = -2, x = -1, x = 1, x = 2, \ldots in the two-dimensional coordinate plane.

There are N residential areas in New AtCoder City. The i-th area is located at the intersection with the coordinates (X_i, Y_i) and has a population of P_i. Each citizen in the city lives in one of these areas.

The city currently has only two railroads, stretching infinitely, one along East-West Main Street and the other along North-South Main Street.

M-kun, the mayor, thinks that they are not enough for the commuters, so he decides to choose K streets and build a railroad stretching infinitely along each of those streets.

Let the walking distance of each citizen be the distance from his/her residential area to the nearest railroad.

M-kun wants to build railroads so that the sum of the walking distances of all citizens, S, is minimized.

For each K = 0, 1, 2, \dots, N, what is the minimum possible value of S after building railroads?

Constraints

1 \leq N \leq 15

-10 \ 000 \leq X_i \leq 10 \ 000

-10 \ 000 \leq Y_i \leq 10 \ 000

1 \leq P_i \leq 1 \ 000 \ 000

The locations of the N residential areas, (X_i, Y_i), are all distinct.

All values in input are integers.

Input

Input is given from Standard Input in the following format:

N
X_1 Y_1 P_1
X_2 Y_2 P_2
: : :
X_N Y_N P_N

Output

Print the answer in N+1 lines.

The i-th line (i = 1, \ldots, N+1) should contain the minimum possible value of S after building railroads for the case K = i-1.

Sample Input 1

3
1 2 300
3 3 600
1 4 800

Sample Output 1

2900
900
0
0

When K = 0, the residents of Area 1, 2, and 3 have to walk the distances of 1, 3, and 1, respectively, to reach a railroad.

Thus, the sum of the walking distances of all citizens, S, is 1 \times 300 + 3 \times 600 + 1 \times 800 = 2900.

When K = 1, if we build a railroad along the street corresponding to the line y = 4 in the coordinate plane, the walking distances of the citizens of Area 1, 2, and 3 become 1, 1, and 0, respectively.

Then, S = 1 \times 300 + 1 \times 600 + 0 \times 800 = 900.

We have many other options for where we build the railroad, but none of them makes S less than 900.

When K = 2, if we build a railroad along the street corresponding to the lines x = 1 and x = 3 in the coordinate plane, all citizens can reach a railroad with the walking distance of 0, so S = 0. We can also have S = 0 when K = 3.

The figure below shows the optimal way to build railroads for the cases K = 0, 1, 2.

The street painted blue represents the roads along which we build railroads.

Sample Input 2

5
3 5 400
5 3 700
5 5 1000
5 7 700
7 5 400

Sample Output 2

13800
1600
0
0
0
0

The figure below shows the optimal way to build railroads for the cases K = 1, 2.

Sample Input 3

6
2 5 1000
5 2 1100
5 5 1700
-2 -5 900
-5 -2 600
-5 -5 2200

Sample Output 3

26700
13900
3200
1200
0
0
0

The figure below shows the optimal way to build railroads for the case K = 3.

Sample Input 4

8
2 2 286017
3 1 262355
2 -2 213815
1 -3 224435
-2 -2 136860
-3 -1 239338
-2 2 217647
-1 3 141903

Sample Output 4

2576709
1569381
868031
605676
366338
141903
0
0
0

The figure below shows the optimal way to build railroads for the case K = 4.

Solution in PyPy3 (7.3.0) (judge verdict: Wrong Answer)

n = int(input())
xyp = []
for _ in range(n):
    x, y, p = map(int, input().split())
    xyp.append((x, y, p))

# 初期値は0との距離
x_dists = [[abs(xyp[j][0]) for j in range(n)] for _ in range(2**n)]
y_dists = [[abs(xyp[j][1]) for j in range(n)] for _ in range(2**n)]

for k in range(2**n):
    # パターンk
    for i, (x, y, p) in enumerate(xyp):
        # 自分の集落に路線がない場合 路線がある集落との比較
        for j, (xx, yy, pp) in enumerate(xyp):
            if (k>>j)&1:
                # 相手の集落に路線あり
                x_dists[k][i] =  min(x_dists[k][i], abs(xx-x))
                y_dists[k][i] =  min(y_dists[k][i], abs(yy-y))

anss = [10**9] * (n+1)
from itertools import product
# 各集落に対するパターンでのコストを計算
for pattern in product([0, 1, 2], repeat=n):
    train_counts = len([p for p in pattern if p<=1])
    # 0が出てくるbitのみを抽出
    bitx = [1 if p == 0 else 0 for p in pattern]
    patx = int("".join(str(i) for i in bitx[::-1]), 2)
    # 1が出てくるbitのみを抽出
    bity = [1 if p == 1 else 0 for p in pattern]
    paty = int("".join(str(i) for i in bity[::-1]), 2)

    # 各点において、最小の移動距離をコスト計上
    cost = 0
    for i, (x, y, p) in enumerate(xyp):
        if pattern[i] <= 1:
            # patternうち0か1なら路線上に集落があるのでコストは0
            continue
        cost += min(x_dists[patx][i], y_dists[paty][i])*p
    
    anss[train_counts] = min(anss[train_counts], cost)

for ans in anss:
    if ans == 10**9:
        print(0)
    else:
        print(ans)