def __init__(self, j, x, y):
Point.__init__(self, x, y)
self.j = j
self.E = Sensor.eInnit
self.free = True
self.moveTime = 0
self.dieTime = 0
def get_nearest_location(self, s):
d = self.get_distance(s)
if PointClass.compare_leq(d, Point.rs):
return Point(s.x, s.y)
x = self.x - Point.rs * (self.x - s.x) / d
y = self.y - Point.rs * (self.y - s.y) / d
return Point(x, y)
class Triangle():
p1 = Point(0, 0)
p2 = Point(0, 0)
p3 = Point(0, 0)
edge12 = False
edge13 = False
edge23 = False
index = 0
def __init__(self, P1, P2, P3):
self.p1 = P1
self.p2 = P2
self.p3 = P3
from Triangle import Triangle
num = 100
randX = 100 * np.random.rand(num)
randY = 100 * np.random.rand(num)
K = -1
L = -1
PointList = []
t1 = []
t2 = []
t3 = []
triangleList = []
for i in range(0, num):
p = Point(randX[i], randY[i])
p.index = i
PointList.append(p)
plt.scatter(p.x, p.y)
# 随机选取一个点，找出与之最近的一个点作为初始基线
initPoint = PointList[1]
t1.append(initPoint)
t2.append(PointList[Functions.getIndexOfMinDisPoint(t1[0], PointList)])
plt.plot([t1[0].x, t2[0].x], [t1[0].y, t2[0].y])
# 获取这两个点的中点
middlePoint = Point((t1[0].x + t2[0].x) / 2.0, (t1[0].y + t2[0].y) / 2.0)
# 剩余点到这个中点最小距离的点
t3.append(PointList[Functions.getIndexOfMinDisPointWithIgnoration(
def center(self, x, y):
"""Puts the center of the circle to the point (x,y)"""
self.__center = Point(x, y)
def __init__(self, x=0, y=0, radius=1): #note default center and radius
self.__center = Point(x, y) #MUST be a Point object!
self.__rayon = radius
def __init__(self, i, x, y):
Point.__init__(self, x, y)
self.i = i
self.lifeTime = 0