How to use the aotools.functions.pupil.circle function in aotools
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AOtools / aotools / test / testCircle.py View on Github 
c2 = pupil.circle(2, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(1, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(1, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(0, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(0, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(0, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(0, 6)[1:-1, 1:-1]
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(1, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(1, 6)[1:-1, 1:-1]
#c2[3,2] = 3.0 # to test the testing
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(2, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(2, 6)[1:-1, 1:-1]
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
log.info("Raise TypeError if inputs not of correct type")c1 = pupil.circle(1, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(1, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(0, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(0, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(0, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(0, 6)[1:-1, 1:-1]
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(1, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(1, 6)[1:-1, 1:-1]
#c2[3,2] = 3.0 # to test the testing
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(2, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(2, 6)[1:-1, 1:-1]
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
log.info("Raise TypeError if inputs not of correct type")
# For testing by hand and observing the result:
if False:
import pylab; pylab.ion()ce = numpy.array([[ 0., 0., 0., 0., 0.],
[ 0., 0., 1., 0., 0.],
[ 0., 1., 1., 1., 0.],
[ 0., 0., 1., 0., 0.],
[ 0., 0., 0., 0., 0.]])
c = pupil.circle(1, 5)
self.assertEqual( c.tolist(), ce.tolist() )
self.assertTrue( (c == ce).all() )
# circle.circle(2, 5)
ce = numpy.array([[ 0., 0., 1., 0., 0.],
[ 0., 1., 1., 1., 0.],
[ 1., 1., 1., 1., 1.],
[ 0., 1., 1., 1., 0.],
[ 0., 0., 1., 0., 0.]])
c = pupil.circle(2, 5)
self.assertEqual( c.tolist(), ce.tolist() )
self.assertTrue( (c == ce).all() )
# circle.circle(0, 6)
ce = numpy.array([[ 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0.]])
c = pupil.circle(0, 6)
self.assertEqual( c.tolist(), ce.tolist() )
self.assertTrue( (c == ce).all() )
# circle.circle(1, 6)
ce = numpy.array([[ 0., 0., 0., 0., 0., 0.],[0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0],
[0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0],
[0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0]])
c = pupil.circle(15.5, 31) - pupil.circle(3.7, 31)
self.assertEqual( c.tolist(), ce.tolist() )
self.assertTrue( (c == ce).all() )
log.info("Create circles with (2,6,(0.5,0.5)), (1,5,(0.5,0.5)), etc.")
c1 = pupil.circle(2, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(2, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(1, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(1, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(0, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(0, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(0, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(0, 6)[1:-1, 1:-1]
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(1, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(1, 6)[1:-1, 1:-1][1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1],
[1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1],
[0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0],
[0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0],
[0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0],
[0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0],
[0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0],
[0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0],
[0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0],
[0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0],
[0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0],
[0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0]])
c = pupil.circle(15.5, 31) - pupil.circle(3.7, 31)
self.assertEqual( c.tolist(), ce.tolist() )
self.assertTrue( (c == ce).all() )
log.info("Create circles with (2,6,(0.5,0.5)), (1,5,(0.5,0.5)), etc.")
c1 = pupil.circle(2, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(2, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(1, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(1, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(0, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(0, 5)[ 0., 0., 1., 1., 0., 0.],
[ 0., 0., 1., 1., 0., 0.],
[ 0., 0., 0., 0., 0., 0.],
[ 0., 0., 0., 0., 0., 0.]])
c = pupil.circle(1, 6)
self.assertEqual( c.tolist(), ce.tolist() )
self.assertTrue( (c == ce).all() )
# circle.circle(2, 6)
ce = numpy.array([[ 0., 0., 0., 0., 0., 0.],
[ 0., 0., 1., 1., 0., 0.],
[ 0., 1., 1., 1., 1., 0.],
[ 0., 1., 1., 1., 1., 0.],
[ 0., 0., 1., 1., 0., 0.],
[ 0., 0., 0., 0., 0., 0.]])
c = pupil.circle(2, 6)
self.assertEqual( c.tolist(), ce.tolist() )
self.assertTrue( (c == ce).all() )
# circle.circle(3, 6)
ce = numpy.array([[ 0., 1., 1., 1., 1., 0.],
[ 1., 1., 1., 1., 1., 1.],
[ 1., 1., 1., 1., 1., 1.],
[ 1., 1., 1., 1., 1., 1.],
[ 1., 1., 1., 1., 1., 1.],
[ 0., 1., 1., 1., 1., 0.]])
c = pupil.circle(3, 6)
self.assertEqual( c.tolist(), ce.tolist() )
self.assertTrue( (c == ce).all() )
# This is a crucial test since this is used in the dragon config file:[0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0],
[0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0]])
c = pupil.circle(15.5, 31) - pupil.circle(3.7, 31)
self.assertEqual( c.tolist(), ce.tolist() )
self.assertTrue( (c == ce).all() )
log.info("Create circles with (2,6,(0.5,0.5)), (1,5,(0.5,0.5)), etc.")
c1 = pupil.circle(2, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(2, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(1, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(1, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(0, 6, (0.5,0.5))[1:,1:]
c2 = pupil.circle(0, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(0, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(0, 6)[1:-1, 1:-1]
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(1, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(1, 6)[1:-1, 1:-1]
#c2[3,2] = 3.0 # to test the testingc2 = pupil.circle(0, 5)
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(0, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(0, 6)[1:-1, 1:-1]
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(1, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(1, 6)[1:-1, 1:-1]
#c2[3,2] = 3.0 # to test the testing
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
c1 = pupil.circle(2, 5, (0.5, 0.5))[1:, 1:]
c2 = pupil.circle(2, 6)[1:-1, 1:-1]
self.assertEqual( c1.tolist(), c2.tolist() )
self.assertTrue( (c1 == c2).all() )
log.info("Raise TypeError if inputs not of correct type")
# For testing by hand and observing the result:
if False:
import pylab; pylab.ion()
c = pupil.circle(2, 5, (0.5, 0.5))
pylab.imshow(c, interpolation="nearest")
c1 = pupil.circle(1, 5)
#pylab.imshow(c-c1, interpolation="nearest")aotools
A set of useful functions for Adaptive Optics in Python
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