From 965d78b4a3dd43c89eedae732f1caa1d569a0066 Mon Sep 17 00:00:00 2001 From: Edoardo Pasca Date: Mon, 18 Feb 2019 16:26:49 +0000 Subject: added unittest for CompositeDataContainer --- Wrappers/Python/conda-recipe/run_test.py | 176 +++++++++++++++++++++++++++++++ 1 file changed, 176 insertions(+) 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__': -- cgit v1.2.3