return L
mems = m.open_mirror()
i = -0.25
j = 0.06
k = -0.05
l = 0.15
ystep = 0.0
04
xstep = 0.05
#time.sleep(1)
ylist = [y for y in frange(k, l, ystep)]
xlist = [x for x in frange(i, j, xstep)]
for y in ylist:
#rint(y)
for x in xlist:
print(x, y)
m.set_pos(mems, x, y)
#time.sleep(0.5)
#time.sleep(0.20)
#m.set_pos(mems,-0.05,y)
#m.set_pos(mems,j,y)
#time.sleep(0.2 )
time.sleep(1)
m.set_pos(mems, i, k)
m.set_pos(mems, 0, 0)
m.close_mirror(mems)
adaptive + 2 * args.zmicro)
pass
if (adaptive == None):
if (args.verbose):
print "Doing a macro scan"
zlist = []
for z in frange(args.zmin, args.zmax, args.zmacro):
zlist.append(z)
peak = get_peak(fds, zlist)
adaptive = fine_scan(args, fds, x, y, peak - 15, peak + 15)
#adaptive = do adaptive scan
start = time.clock()
if (args.verbose):
print "Starting at time {}".format(start)
if (args.lidar):
lidar(args, fds)
else:
adaptive_lidar(args, fds)
if (args.verbose):
end = time.clock()
print "Ending at time {}".format(end)
print "Time taken {}".format(end - start)
mems.close_mirror(fds['mirror_fd'])
fds['delay_fd'].write('dly 0')
for x in range(0,2000):
start = time.clock()
# m.set_pos(mems, 0.05, 0.05)
#count_fd, control_fd = c.open_counter(5000)
count = c.get_count(5000)
# m.set_pos(mems, 0, 0)
print count #c.count(control_fd, count_fd, 5000)
time.sleep(210.0/1000)
# c.close(control_fd, count_fd)
print time.clock()-start# m.set_pos(mems, 0.05, 0.05)
save_file.close()
"""
m.set_pos(mems,-0.3,0.3)
for x in range(0,100):
m.set_pos(mems, 0.05, 0.05)
count_fd, control_fd = c.open_counter(100)
m.set_pos(mems, 0, 0)
print c.count(control_fd, count_fd, 100)
time.sleep(100.0/1000)
c.close(control_fd, count_fd)
"""
mems = m.close_mirror(mems)
import mirror as m me = m.open_mirror() m.close_mirror(me)