def test_mindistance_segment2track():
print 'touching one segment only'
print cll.mindistance_segment2track([1,0,0],[0,1,0],np.array([[1,0,0],[0,1,1],[3,3,3]]))
print 'cross with the second'
print cll.mindistance_segment2track([0,0,0],[1,0,0],np.array([[3,3,3],[0.5,1,0],[0.5,-1,0]]))
def test_mindistance_segment2track():
print 'touching one segment only'
print cll.mindistance_segment2track([1, 0, 0], [0, 1, 0],
np.array([[1, 0, 0], [0, 1, 1],
[3, 3, 3]]))
print 'cross with the second'
print cll.mindistance_segment2track([0, 0, 0], [1, 0, 0],
np.array([[3, 3, 3], [0.5, 1, 0],
[0.5, -1, 0]]))
def process_picking(self,near,far):
print('process picking')
min_dist=[cll.mindistance_segment2track(near,far,xyz) for xyz in self.data]
min_dist=np.array(min_dist)
#print min_dist
self.picked_track=min_dist.argmin()
print 'min index',self.picked_track
min_dist_info=[cll.mindistance_segment2track_info(near,far,xyz) for xyz in self.data]
A = np.array(min_dist_info)
dist=10**(-3)
iA=np.where(A[:,0]<dist)
minA=A[iA]
print 'minA ', minA
miniA=minA[:,1].argmin()
print 'final min index ',iA[0][miniA]
self.picked_track=iA[0][miniA]
def process_picking(self,near,far):
print('process picking')
min_dist=[cll.mindistance_segment2track(near,far,xyz) for xyz in self.data]
min_dist=np.array(min_dist)
#print min_dist
self.picked_track=min_dist.argmin()
print self.picked_track
