euclidean_distance.py

def euclidean_distance(point1, point2):
    x1, y1 = point1
    x2, y2 = point2
    return math.sqrt((x1 - x2) ** 2 + (y1 - y2) ** 2)


def cal(c_cor, t_cor):
    c = c_cor
    c_xmid, cy_mid = (c[0][0] + c[2][0]) / 2, (c[0][1] + c[2][1]) / 2
    return t_cor[0][1] <= cy_mid <= t_cor[3][1]


def compare(x, y):
    distance1, distance2 = x[0], y[0]
    if distance1 == distance2:
        test_name1, test_name2 = x[1][1], y[1][1]
        return test_name1.confidence - test_name2.confidence
    return distance1 - distance2