LoadData.store(x, y, DataFile)
_x, _y = k_means.getResult(DataFile, k = k, Flag = False)
#Debug.show(_x[1], _y[1])
Ans = []
for master in _x:
e = connector.transport(_x[master], _y[master], m)
#print _x[master]
#print _y[master]
#print 'e =', e
Ans.append([e, _x[master], _y[master]])
return Ans
#print Ans
import rec
import rec_2
if __name__ == '__main__':
Ans = master(5)
for i in range(len(Ans)):
list = rec_2.rec(Ans[i][0], 0)
#print list
x = []
y = []
for l in list:
x.append(Ans[i][1][l])
y.append(Ans[i][2][l])
print x
print y
views.lines(x, y, i)
views.show()
continue
print i, j
if (centors[k].DistenceToLine(points[i], points[j]) + EPS <= R[k]):
print 'Pro'
Flag = False
if (Flag):
edge.append((i, j, points[i].DistenceToPoint(points[j])))
x = []
y = []
for point in points:
x.append(point.x)
y.append(point.y)
Debug.show(x, y)
Debug.show([200], [100])
return edge, x, y
if __name__ == '__main__':
FileName = 'Input.txt'
edge, x, y = LoadData(FileName)
print 'x =', x
print 'y =', y
for e in edge:
print e
path = dij.Dijkstra(edge, 0, 1)
print path
_x, _y = [], []
for i in path:
_x.append(x[i])
_y.append(y[i])
views.lines(_x, _y, 0)
views.show()
