Problem: There are N holes in a two-dimensional plane. The coordinates of the i-th hole are (x_i,y_i).

Let R=10^{10^{10^{10}}}. Ringo performs the following operation:

* Randomly choose a point from the interior of a circle of radius R centered at the origin, and put Snuke there. Snuke will move to the hole with the smallest Euclidean distance from the point, and fall into that hole. If there are multiple such holes, the hole with the smallest index will be chosen.



For every i (1 \leq i \leq N), find the probability that Snuke falls into the i-th hole.

Here, the operation of randomly choosing a point from the interior of a circle of radius R is defined as follows:

* Pick two real numbers x and y independently according to uniform distribution on [-R,R].
* If x^2+y^2\leq R^2, the point (x,y) is chosen. Otherwise, repeat picking the real numbers x,y until the condition is met.

Constraints

* 2 \leq N \leq 100
* |x_i|,|y_i| \leq 10^6(1\leq i\leq N)
* All given points are pairwise distinct.
* All input values are integers.

Input

Input is given from Standard Input in the following format:


N
x_1 y_1
:
x_N y_N


Output

Print N real numbers. The i-th real number must represent the probability that Snuke falls into the i-th hole.

The output will be judged correct when, for all output values, the absolute or relative error is at most 10^{-5}.

Examples

Input

2
0 0
1 1


Output

0.5
0.5


Input

5
0 0
2 8
4 5
2 6
3 10


Output

0.43160120892732328768
0.03480224363653196956
0.13880483535586193855
0.00000000000000000000
0.39479171208028279727

Solution (in PYTHON3):

Solution:
import math
from copy import deepcopy
import sys
input = sys.stdin.readline

class Vec:
    def __init__(self, x, y):
        self.x = x
        self.y = y

    def __str__(self):
        return '({}, {})'.format(self.x, self.y)

    def __add__(self, other):
        return Vec(self.x+other.x, self.y+other.y)

    def __sub__(self, other):
        return Vec(self.x-other.x, self.y-other.y)

    def __mul__(self, k):
        return Vec(self.x*k, self.y*k)

    def __truediv__(self, k):
        return Vec(self.x/k, self.y/k)

    def __neg__(self):
        return Vec(-self.x, -self.y)

    def __eq__(self, other):
        return self.x == other.x and self.y == other.y

    def __ne__(self, other):
        return not (self == other)

    def abs(self):
        return (self.x**2 + self.y**2)**.5

    def dot(self, other):
        return self.x*other.x + self.y*other.y

    def cross(self, other):
        return self.x*other.y - self.y*other.x

    def rot(self, ang):
        c = math.cos(ang)
        s = math.sin(ang)
        return Vec(c*self.x-s*self.y, s*self.x+c*self.y)

    def arg(self):
        return math.atan2(self.y, self.x)


def convex_hull(points, eps=1e-12):
    n = len(points)
    points.sort(key=lambda p: (p.x, p.y))
    k = 0  # # of vertices in the convex hull
    ch = [None] * (2*n)
    # bottom
    for i in range(n):
        while k > 1 and (ch[k-1]-ch[k-2]).cross(points[i]-ch[k-1]) < eps:
            k -= 1
        ch[k] = points[i]
        k += 1
    t = k
    # top
    for i in range(0, n-1)[::-1]:
        while k > t and (ch[k-1]-ch[k-2]).cross(points[i]-ch[k-1]) < eps:
            k -= 1
        ch[k] = points[i]
        k += 1
    return ch[:k-1]


N = int(input())
points = [Vec(*map(int, input().split())) for _ in range(N)]
tmp = deepcopy(points)
ch = convex_hull(tmp)
ch.sort(key=lambda v: v.arg())
ans = [0] * N
for i in range(len(ch)):
    p0 = ch[(i-1) % len(ch)]
    p1 = ch[i]
    p2 = ch[(i+1) % len(ch)]
    a = (p2 - p1).arg() - (p1 - p0).arg()
    if a < 0:
        a += 2 * math.pi
    for j in range(N):
        if p1 == points[j]:
            ans[j] = a / (2 * math.pi)
print(*ans, sep='\n')