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-rwxr-xr-xWrappers/Python/conda-recipe/run_test.py176
1 files changed, 176 insertions, 0 deletions
diff --git a/Wrappers/Python/conda-recipe/run_test.py b/Wrappers/Python/conda-recipe/run_test.py
index 5bf6538..57afd57 100755
--- a/Wrappers/Python/conda-recipe/run_test.py
+++ b/Wrappers/Python/conda-recipe/run_test.py
@@ -962,6 +962,182 @@ class TestNexusReader(unittest.TestCase):
data = nr.get_acquisition_data().subset(['vertical','horizontal'])
self.assertTrue(sl.shape , (10,data.shape[1]))
+
+class TestCompositeDataContainer(unittest.TestCase):
+
+ def test_one(self):
+ from ccpi.optimisation.ops import PowerMethodNonsquare
+ from ccpi.optimisation.ops import TomoIdentity
+ from ccpi.optimisation.funcs import Norm2sq, Norm1
+ from ccpi.framework import ImageGeometry, AcquisitionGeometry
+ from ccpi.optimisation.operators.CompositeOperator import CompositeDataContainer, CompositeDataContainer
+ import matplotlib.pyplot as plt
+
+ ig0 = ImageGeometry(2,3,4)
+ ig1 = ImageGeometry(12,42,55,32)
+
+ data0 = ImageData(geometry=ig0)
+ data1 = ImageData(geometry=ig1) + 1
+
+ data2 = ImageData(geometry=ig0) + 2
+ data3 = ImageData(geometry=ig1) + 3
+
+ cp0 = CompositeDataContainer(data0,data1)
+ cp1 = CompositeDataContainer(data2,data3)
+ #
+ a = [ (el, ot) for el,ot in zip(cp0.containers,cp1.containers)]
+ print (a[0][0].shape)
+ #cp2 = CompositeDataContainer(*a)
+ cp2 = cp0.add(cp1)
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == 2.)
+ assert (cp2.get_item(1,0).as_array()[0][0][0] == 4.)
+
+ cp2 = cp0 + cp1
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == 2.)
+ assert (cp2.get_item(1,0).as_array()[0][0][0] == 4.)
+ cp2 = cp0 + 1
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 1. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 2., decimal = 5)
+ cp2 = cp0 + [1 ,2]
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 1. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 3., decimal = 5)
+ cp2 += cp1
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , +3. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , +6., decimal = 5)
+
+ cp2 += 1
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , +4. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , +7., decimal = 5)
+
+ cp2 += [-2,-1]
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 2. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 6., decimal = 5)
+
+
+ cp2 = cp0.subtract(cp1)
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == -2.)
+ assert (cp2.get_item(1,0).as_array()[0][0][0] == -2.)
+ cp2 = cp0 - cp1
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == -2.)
+ assert (cp2.get_item(1,0).as_array()[0][0][0] == -2.)
+
+ cp2 = cp0 - 1
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , -1. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 0, decimal = 5)
+ cp2 = cp0 - [1 ,2]
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , -1. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , -1., decimal = 5)
+
+ cp2 -= cp1
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , -3. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , -4., decimal = 5)
+
+ cp2 -= 1
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , -4. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , -5., decimal = 5)
+
+ cp2 -= [-2,-1]
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , -2. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , -4., decimal = 5)
+
+
+ cp2 = cp0.multiply(cp1)
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == 0.)
+ assert (cp2.get_item(1,0).as_array()[0][0][0] == 3.)
+ cp2 = cp0 * cp1
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == 0.)
+ assert (cp2.get_item(1,0).as_array()[0][0][0] == 3.)
+
+ cp2 = cp0 * 2
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 0. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 2, decimal = 5)
+ cp2 = cp0 * [3 ,2]
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 0. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 2., decimal = 5)
+
+ cp2 *= cp1
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 0 , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , +6., decimal = 5)
+
+ cp2 *= 1
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 0. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , +6., decimal = 5)
+
+ cp2 *= [-2,-1]
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 0. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , -6., decimal = 5)
+
+
+ cp2 = cp0.divide(cp1)
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == 0.)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0], 1./3., decimal=4)
+ cp2 = cp0/cp1
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == 0.)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0], 1./3., decimal=4)
+
+ cp2 = cp0 / 2
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 0. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 0.5, decimal = 5)
+ cp2 = cp0 / [3 ,2]
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 0. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 0.5, decimal = 5)
+
+ cp2 += 1
+ cp2 /= cp1
+ # TODO fix inplace division
+
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 1./2 , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 1.5/3., decimal = 5)
+
+ cp2 /= 1
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 0.5 , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 0.5, decimal = 5)
+
+ cp2 /= [-2,-1]
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , -0.5/2. , decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , -0.5, decimal = 5)
+ ####
+
+ cp2 = cp0.power(cp1)
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == 0.)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0], 1., decimal=4)
+ cp2 = cp0**cp1
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == 0.)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0], 1., decimal=4)
+
+ cp2 = cp0 ** 2
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0] , 0., decimal=5)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0] , 1., decimal = 5)
+
+ cp2 = cp0.maximum(cp1)
+ assert (cp2.get_item(0,0).as_array()[0][0][0] == cp1.get_item(0,0).as_array()[0][0][0])
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0], cp2.get_item(1,0).as_array()[0][0][0], decimal=4)
+
+
+ cp2 = cp0.abs()
+ numpy.testing.assert_almost_equal(cp2.get_item(0,0).as_array()[0][0][0], 0., decimal=4)
+ numpy.testing.assert_almost_equal(cp2.get_item(1,0).as_array()[0][0][0], 1., decimal=4)
+
+ cp2 = cp0.subtract(cp1)
+ s = cp2.sign()
+ numpy.testing.assert_almost_equal(s.get_item(0,0).as_array()[0][0][0], -1., decimal=4)
+ numpy.testing.assert_almost_equal(s.get_item(1,0).as_array()[0][0][0], -1., decimal=4)
+
+ cp2 = cp0.add(cp1)
+ s = cp2.sqrt()
+ numpy.testing.assert_almost_equal(s.get_item(0,0).as_array()[0][0][0], numpy.sqrt(2), decimal=4)
+ numpy.testing.assert_almost_equal(s.get_item(1,0).as_array()[0][0][0], numpy.sqrt(4), decimal=4)
+
+ s = cp0.sum()
+ numpy.testing.assert_almost_equal(s[0], 0, decimal=4)
+ s0 = 1
+ s1 = 1
+ for i in cp0.get_item(0,0).shape:
+ s0 *= i
+ for i in cp0.get_item(1,0).shape:
+ s1 *= i
+
+ numpy.testing.assert_almost_equal(s[1], cp0.get_item(0,0).as_array()[0][0][0]*s0 +cp0.get_item(1,0).as_array()[0][0][0]*s1, decimal=4)
if __name__ == '__main__':