Problem: For given two segments s1 and s2, print the distance between them.

s1 is formed by end points p0 and p1, and s2 is formed by end points p2 and p3.

Constraints

* 1 ≤ q ≤ 1000
* -10000 ≤ xpi, ypi ≤ 10000
* p0 ≠ p1 and p2 ≠ p3.

Input

The entire input looks like:


q (the number of queries)
1st query
2nd query
...
qth query


Each query consists of integer coordinates of end points of s1 and s2 in the following format:


xp0 yp0 xp1 yp1 xp2 yp2 xp3 yp3


Output

For each query, print the distance. The output values should be in a decimal fraction with an error less than 0.00000001.

Example

Input

3
0 0 1 0 0 1 1 1
0 0 1 0 2 1 1 2
-1 0 1 0 0 1 0 -1


Output

1.0000000000
1.4142135624
0.0000000000

Solution (in PYTHON3):

Solution:
import math

class Point:
    def __init__(self, x, y):
        self.x = x
        self.y = y
    def __add__(self, other):
        return Point(self.x + other.x, self.y + other.y)
    def __sub__(self, other):
        return Point(self.x - other.x, self.y - other.y)
    def __mul__(self, other):
        return Point(self.x * other, self.y * other)
    def __floordiv__(self, other):
        return Point(self.x / other, self.y / other)
    def __repr__(self):
        return str(self.x) + ' ' + str(self.y)

class Vector(Point):
    pass

class Line:
    def __init__(self, p1, p2):
        self.p1 = p1
        self.p2 = p2

class Segment(Line):
    pass

def points_to_vector(p1, p2):
    x = p1.x - p2.x
    y = p1.y - p2.y
    return Vector(x, y)

def vector(p):
    return Vector(p.x, p.y)

def dot(v1, v2):
    return v1.x * v2.x + v1.y * v2.y

def cross(v1, v2):
    return v1.x * v2.y - v1.y * v2.x

def norm(v):
    return v.x**2 + v.y**2

def distance(v):
    return math.sqrt(norm(v))

def project(s, p):
    base = points_to_vector(s.p1, s.p2)
    hypo = points_to_vector(p, s.p1)
    r = dot(hypo, base) / norm(base)
    return s.p1 + base * r

def reflect(s, p):
    return p + (project(s, p) -p) * 2

def get_distance(s1, s2):
    if intersect_s(s1, s2):
        return 0
    d1 = get_distance_sp(s1, s2.p1)
    d2 = get_distance_sp(s1, s2.p2)
    d3 = get_distance_sp(s2, s1.p1)
    d4 = get_distance_sp(s2, s1.p2)
    return min(d1, min(d2, min(d3, d4)))

def get_distance_pp(p1, p2):
    return distance(p1 - p2)

def get_distance_lp(l, p):
    return abs(cross(l.p2 - l.p1, p - l.p1) / distance(l.p2 - l.p1))

def get_distance_sp(s, p):
    if dot(s.p2 - s.p1, p - s.p1) < 0:
        return distance(p - s.p1)
    elif dot(s.p1 - s.p2, p - s.p2) < 0:
        return distance(p - s.p2)
    else:
        return get_distance_lp(s, p)

def ccw(p0, p1, p2):
    EPS = 1e-10
    COUNTER_CLOCKWISE = 1
    CLOCKWISE = -1
    ONLINE_BACK = 2
    ONLINE_FRONT = -2
    ON_SEGMENT = 0
    v1 = p1 - p0
    v2 = p2 - p0
    if cross(v1, v2) > EPS:
        return COUNTER_CLOCKWISE
    elif cross(v1, v2) < -EPS:
        return CLOCKWISE
    elif dot(v1, v2) < -EPS:
        return ONLINE_BACK
    elif norm(v1) < norm(v2):
        return ONLINE_FRONT
    else:
        return ON_SEGMENT

def intersect_p(p1, p2, p3, p4):
    return ccw(p1, p2, p3) * ccw(p1, p2, p4) <= 0 and ccw(p3, p4, p1) * ccw(p3, p4, p2) <= 0

def intersect_s(s1, s2):
    return intersect_p(s1.p1, s1.p2, s2.p1, s2.p2)


import sys
# sys.stdin = open('input.txt')

q = int(input())
for i in range(q):
    temp = list(map(int, input().split()))
    points = []
    for j in range(0, 8, 2):
        points.append(Point(temp[j], temp[j+1]))
    s1 = Segment(points[0], points[1])
    s2 = Segment(points[2], points[3])
    print(get_distance(s1, s2))