[0f5bc9f] | 1 | """ |
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| 2 | Unit tests for dispersion functionality of |
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| 3 | C++ model classes |
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| 4 | """ |
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| 5 | |
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| 6 | import unittest, math, numpy |
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| 7 | |
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| 8 | class TestCylinder(unittest.TestCase): |
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| 9 | """ |
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| 10 | Testing C++ Cylinder model |
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| 11 | """ |
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| 12 | def setUp(self): |
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| 13 | from sans.models.CylinderModel import CylinderModel |
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| 14 | self.model= CylinderModel() |
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| 15 | |
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| 16 | self.model.setParam('scale', 1.0) |
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| 17 | self.model.setParam('radius', 20.0) |
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| 18 | self.model.setParam('length', 400.0) |
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| 19 | self.model.setParam('contrast', 3.e-6) |
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| 20 | self.model.setParam('background', 0.0) |
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| 21 | self.model.setParam('cyl_theta', 0.0) |
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| 22 | self.model.setParam('cyl_phi', 0.0) |
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| 23 | |
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| 24 | def test_simple(self): |
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| 25 | self.assertAlmostEqual(self.model.run(0.001), 450.355, 3) |
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| 26 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 452.299, 3) |
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| 27 | |
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| 28 | def test_constant(self): |
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| 29 | from sans.models.dispersion_models import DispersionModel |
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| 30 | disp = DispersionModel() |
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| 31 | self.model.setParam('scale', 10.0) |
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| 32 | self.model.set_dispersion('radius', disp) |
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| 33 | self.model.dispersion['radius']['width'] = 5.0 |
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| 34 | self.model.dispersion['radius']['npts'] = 100 |
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| 35 | |
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| 36 | self.assertAlmostEqual(self.model.run(0.001), 4527.47250339, 3) |
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| 37 | self.assertAlmostEqual(self.model.runXY([0.001, 0.001]), 4546.997777604715, 3) |
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| 38 | |
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| 39 | def test_gaussian(self): |
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| 40 | from sans.models.dispersion_models import GaussianDispersion |
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| 41 | disp = GaussianDispersion() |
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| 42 | self.model.set_dispersion('radius', disp) |
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| 43 | self.model.dispersion['radius']['width'] = 5.0 |
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| 44 | self.model.dispersion['radius']['npts'] = 100 |
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| 45 | self.model.setParam('scale', 10.0) |
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| 46 | |
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| 47 | self.assertAlmostEqual(self.model.run(0.001), 4723.32213339, 3) |
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| 48 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 4743.56, 2) |
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| 49 | |
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| 50 | def test_array(self): |
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| 51 | """ |
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| 52 | Perform complete rotational average and |
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| 53 | compare to 1D |
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| 54 | """ |
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| 55 | from sans.models.dispersion_models import ArrayDispersion |
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| 56 | disp_ph = ArrayDispersion() |
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| 57 | disp_th = ArrayDispersion() |
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| 58 | |
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| 59 | values_ph = numpy.zeros(100) |
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| 60 | values_th = numpy.zeros(100) |
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| 61 | weights = numpy.zeros(100) |
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| 62 | for i in range(100): |
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| 63 | values_ph[i]=(2.0*math.pi/99.0*i) |
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| 64 | values_th[i]=(math.pi/99.0*i) |
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| 65 | weights[i]=(1.0) |
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| 66 | |
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| 67 | disp_ph.set_weights(values_ph, weights) |
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| 68 | disp_th.set_weights(values_th, weights) |
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| 69 | |
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| 70 | self.model.set_dispersion('cyl_theta', disp_th) |
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| 71 | self.model.set_dispersion('cyl_phi', disp_ph) |
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| 72 | |
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| 73 | val_1d = self.model.run(math.sqrt(0.0002)) |
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| 74 | val_2d = self.model.runXY([0.01,0.01]) |
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| 75 | |
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| 76 | self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02) |
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| 77 | |
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| 78 | class TestCoreShellCylinder(unittest.TestCase): |
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| 79 | """ |
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| 80 | Testing C++ Cylinder model |
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| 81 | """ |
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| 82 | def setUp(self): |
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| 83 | from sans.models.CoreShellCylinderModel import CoreShellCylinderModel |
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| 84 | self.model= CoreShellCylinderModel() |
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| 85 | |
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| 86 | self.model.setParam('scale', 1.0) |
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| 87 | self.model.setParam('radius', 20.0) |
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| 88 | self.model.setParam('thickness', 10.0) |
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| 89 | self.model.setParam('length', 400.0) |
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| 90 | self.model.setParam('core_sld', 1.e-6) |
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| 91 | self.model.setParam('shell_sld', 4.e-6) |
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| 92 | self.model.setParam('solvent_sld', 1.e-6) |
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| 93 | self.model.setParam('background', 0.0) |
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| 94 | self.model.setParam('axis_theta', 0.0) |
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| 95 | self.model.setParam('axis_phi', 0.0) |
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| 96 | |
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| 97 | def test_simple(self): |
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| 98 | """ |
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| 99 | Test simple 1D and 2D values |
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| 100 | Numbers taken from model that passed validation, before |
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| 101 | the update to C++ underlying class. |
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| 102 | """ |
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| 103 | self.assertAlmostEqual(self.model.run(0.001), 353.55013216754583, 3) |
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| 104 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 355.25355270620543, 3) |
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| 105 | |
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| 106 | def test_dispersion(self): |
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| 107 | """ |
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| 108 | Test with dispersion |
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| 109 | """ |
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| 110 | from sans.models.DisperseModel import DisperseModel |
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| 111 | disp = DisperseModel(self.model, ['radius', 'thickness', 'length'], [5, 2, 50]) |
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| 112 | disp.setParam('n_pts', 10) |
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| 113 | self.assertAlmostEqual(disp.run(0.001), 358.44062724936009, 3) |
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| 114 | self.assertAlmostEqual(disp.runXY([0.001,0.001]), 360.22673635224584, 3) |
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| 115 | |
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| 116 | def test_new_disp(self): |
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| 117 | from sans.models.dispersion_models import GaussianDispersion |
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| 118 | disp_rm = GaussianDispersion() |
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| 119 | self.model.set_dispersion('radius', disp_rm) |
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| 120 | self.model.dispersion['radius']['width'] = 5.0 |
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| 121 | self.model.dispersion['radius']['npts'] = 10 |
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| 122 | |
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| 123 | disp_rr = GaussianDispersion() |
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| 124 | self.model.set_dispersion('thickness', disp_rr) |
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| 125 | self.model.dispersion['thickness']['width'] = 2. |
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| 126 | self.model.dispersion['thickness']['npts'] = 10 |
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| 127 | |
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| 128 | disp_len = GaussianDispersion() |
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| 129 | self.model.set_dispersion('length', disp_len) |
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| 130 | self.model.dispersion['length']['width'] = 50.0 |
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| 131 | self.model.dispersion['length']['npts'] = 10 |
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| 132 | |
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| 133 | self.assertAlmostEqual(self.model.run(0.001), 358.44062724936009, 3) |
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| 134 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 360.22673635224584, 3) |
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| 135 | |
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| 136 | |
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| 137 | def test_array(self): |
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| 138 | """ |
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| 139 | Perform complete rotational average and |
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| 140 | compare to 1D |
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| 141 | """ |
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| 142 | from sans.models.dispersion_models import ArrayDispersion |
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| 143 | disp_ph = ArrayDispersion() |
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| 144 | disp_th = ArrayDispersion() |
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| 145 | |
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| 146 | values_ph = numpy.zeros(100) |
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| 147 | values_th = numpy.zeros(100) |
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| 148 | weights = numpy.zeros(100) |
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| 149 | for i in range(100): |
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| 150 | values_ph[i]=(2.0*math.pi/99.0*i) |
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| 151 | values_th[i]=(math.pi/99.0*i) |
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| 152 | weights[i]=(1.0) |
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| 153 | |
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| 154 | disp_ph.set_weights(values_ph, weights) |
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| 155 | disp_th.set_weights(values_th, weights) |
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| 156 | |
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| 157 | self.model.set_dispersion('axis_theta', disp_th) |
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| 158 | self.model.set_dispersion('axis_phi', disp_ph) |
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| 159 | |
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| 160 | val_1d = self.model.run(math.sqrt(0.0002)) |
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| 161 | val_2d = self.model.runXY([0.01,0.01]) |
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| 162 | |
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| 163 | self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02) |
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| 164 | |
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| 165 | |
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| 166 | |
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| 167 | class TestCoreShell(unittest.TestCase): |
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| 168 | """ |
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| 169 | Testing C++ Cylinder model |
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| 170 | """ |
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| 171 | def setUp(self): |
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| 172 | from sans.models.CoreShellModel import CoreShellModel |
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| 173 | self.model= CoreShellModel() |
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| 174 | |
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| 175 | self.model.setParam('scale', 1.0) |
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| 176 | self.model.setParam('radius', 60.0) |
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| 177 | self.model.setParam('thickness', 10.0) |
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| 178 | self.model.setParam('core_sld', 1.e-6) |
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| 179 | self.model.setParam('shell_sld', 2.e-6) |
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| 180 | self.model.setParam('solvent_sld', 3.e-6) |
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| 181 | self.model.setParam('background', 0.0) |
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| 182 | |
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| 183 | def test_simple(self): |
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| 184 | """ |
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| 185 | Test simple 1D and 2D values |
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| 186 | Numbers taken from model that passed validation, before |
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| 187 | the update to C++ underlying class. |
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| 188 | """ |
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| 189 | self.assertAlmostEqual(self.model.run(0.001), 381.27304697150055, 3) |
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| 190 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 380.93779156218682, 3) |
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| 191 | |
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| 192 | def test_dispersion(self): |
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| 193 | """ |
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| 194 | Test with dispersion |
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| 195 | """ |
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| 196 | from sans.models.DisperseModel import DisperseModel |
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| 197 | disp = DisperseModel(self.model, ['radius', 'thickness'], [10, 2]) |
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| 198 | disp.setParam('n_pts', 10) |
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| 199 | self.assertAlmostEqual(disp.run(0.001), 407.344127907553, 3) |
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| 200 | |
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| 201 | def test_new_disp(self): |
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| 202 | from sans.models.dispersion_models import GaussianDispersion |
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| 203 | disp_rm = GaussianDispersion() |
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| 204 | self.model.set_dispersion('radius', disp_rm) |
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| 205 | self.model.dispersion['radius']['width'] = 10. |
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| 206 | self.model.dispersion['radius']['npts'] = 10 |
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| 207 | |
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| 208 | disp_rr = GaussianDispersion() |
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| 209 | self.model.set_dispersion('thickness', disp_rr) |
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| 210 | self.model.dispersion['thickness']['width'] = 2. |
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| 211 | self.model.dispersion['thickness']['npts'] = 10 |
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| 212 | |
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| 213 | |
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| 214 | self.assertAlmostEqual(self.model.run(0.001), 407.344127907553, 3) |
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| 215 | |
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| 216 | |
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| 217 | class TestEllipsoid(unittest.TestCase): |
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| 218 | """ |
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| 219 | Testing C++ Cylinder model |
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| 220 | """ |
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| 221 | def setUp(self): |
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| 222 | from sans.models.EllipsoidModel import EllipsoidModel |
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| 223 | self.model= EllipsoidModel() |
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| 224 | |
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| 225 | self.model.setParam('scale', 1.0) |
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| 226 | self.model.setParam('radius_a', 20.0) |
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| 227 | self.model.setParam('radius_b', 400.0) |
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| 228 | self.model.setParam('contrast', 3.e-6) |
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| 229 | self.model.setParam('background', 0.0) |
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| 230 | self.model.setParam('axis_theta', 1.57) |
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| 231 | self.model.setParam('axis_phi', 0.0) |
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| 232 | |
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| 233 | def test_simple(self): |
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| 234 | """ |
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| 235 | Test simple 1D and 2D values |
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| 236 | Numbers taken from model that passed validation, before |
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| 237 | the update to C++ underlying class. |
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| 238 | """ |
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| 239 | self.assertAlmostEqual(self.model.run(0.001), 11808.842896863147, 3) |
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| 240 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 11681.990374929677, 3) |
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| 241 | |
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| 242 | def test_dispersion(self): |
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| 243 | """ |
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| 244 | Test with dispersion |
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| 245 | """ |
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| 246 | from sans.models.DisperseModel import DisperseModel |
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| 247 | disp = DisperseModel(self.model, ['radius_a', 'radius_b'], [5, 50]) |
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| 248 | disp.setParam('n_pts', 10) |
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| 249 | self.assertAlmostEqual(disp.run(0.001), 11948.72581312305, 3) |
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| 250 | self.assertAlmostEqual(disp.runXY([0.001,0.001]), 11811.972359807551, 3) |
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| 251 | |
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| 252 | def test_new_disp(self): |
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| 253 | from sans.models.dispersion_models import GaussianDispersion |
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| 254 | disp_rm = GaussianDispersion() |
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| 255 | self.model.set_dispersion('radius_a', disp_rm) |
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| 256 | self.model.dispersion['radius_a']['width'] = 5.0 |
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| 257 | self.model.dispersion['radius_a']['npts'] = 10 |
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| 258 | |
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| 259 | disp_rr = GaussianDispersion() |
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| 260 | self.model.set_dispersion('radius_b', disp_rr) |
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| 261 | self.model.dispersion['radius_b']['width'] = 50. |
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| 262 | self.model.dispersion['radius_b']['npts'] = 10 |
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| 263 | |
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| 264 | |
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| 265 | self.assertAlmostEqual(self.model.run(0.001), 11948.72581312305, 3) |
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| 266 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 11811.972359807551, 3) |
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| 267 | |
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| 268 | def test_array(self): |
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| 269 | """ |
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| 270 | Perform complete rotational average and |
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| 271 | compare to 1D |
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| 272 | """ |
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| 273 | from sans.models.dispersion_models import ArrayDispersion |
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| 274 | disp_ph = ArrayDispersion() |
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| 275 | disp_th = ArrayDispersion() |
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| 276 | |
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| 277 | values_ph = numpy.zeros(100) |
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| 278 | values_th = numpy.zeros(100) |
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| 279 | weights = numpy.zeros(100) |
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| 280 | for i in range(100): |
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| 281 | values_ph[i]=(2.0*math.pi/99.0*i) |
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| 282 | values_th[i]=(math.pi/99.0*i) |
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| 283 | weights[i]=(1.0) |
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| 284 | |
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| 285 | disp_ph.set_weights(values_ph, weights) |
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| 286 | disp_th.set_weights(values_th, weights) |
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| 287 | |
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| 288 | self.model.set_dispersion('axis_theta', disp_th) |
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| 289 | self.model.set_dispersion('axis_phi', disp_ph) |
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| 290 | |
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| 291 | val_1d = self.model.run(math.sqrt(0.0002)) |
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| 292 | val_2d = self.model.runXY([0.01,0.01]) |
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| 293 | |
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| 294 | self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02) |
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| 295 | |
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| 296 | |
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| 297 | |
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| 298 | class TestSphere(unittest.TestCase): |
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| 299 | """ |
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| 300 | Testing C++ Cylinder model |
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| 301 | """ |
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| 302 | def setUp(self): |
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| 303 | from sans.models.SphereModel import SphereModel |
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| 304 | self.model= SphereModel() |
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| 305 | |
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| 306 | self.model.setParam('scale', 1.0) |
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| 307 | self.model.setParam('radius', 60.0) |
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| 308 | self.model.setParam('contrast', 1) |
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| 309 | self.model.setParam('background', 0.0) |
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| 310 | |
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| 311 | def test_simple(self): |
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| 312 | """ |
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| 313 | Test simple 1D and 2D values |
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| 314 | Numbers taken from model that passed validation, before |
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| 315 | the update to C++ underlying class. |
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| 316 | """ |
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| 317 | self.assertAlmostEqual(self.model.run(0.001), 90412744456148.094, 3) |
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| 318 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 90347660670656.391, 3) |
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| 319 | |
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| 320 | def test_dispersion(self): |
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| 321 | """ |
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| 322 | Test with dispersion |
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| 323 | """ |
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| 324 | from sans.models.DisperseModel import DisperseModel |
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| 325 | disp = DisperseModel(self.model, ['radius'], [10]) |
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| 326 | disp.setParam('n_pts', 10) |
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| 327 | self.assertAlmostEqual(disp.run(0.001), 96795008379475.25, 3) |
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| 328 | |
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| 329 | def test_new_disp(self): |
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| 330 | from sans.models.dispersion_models import GaussianDispersion |
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| 331 | disp_rm = GaussianDispersion() |
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| 332 | self.model.set_dispersion('radius', disp_rm) |
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| 333 | self.model.dispersion['radius']['width'] = 10.0 |
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| 334 | self.model.dispersion['radius']['npts'] = 10 |
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| 335 | |
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| 336 | self.assertAlmostEqual(self.model.run(0.001), 96795008379475.25, 3) |
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| 337 | |
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| 338 | |
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| 339 | |
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| 340 | class TestEllipticalCylinder(unittest.TestCase): |
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| 341 | """ |
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| 342 | Testing C++ Cylinder model |
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| 343 | """ |
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| 344 | def setUp(self): |
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| 345 | from sans.models.EllipticalCylinderModel import EllipticalCylinderModel |
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| 346 | self.model= EllipticalCylinderModel() |
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| 347 | |
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| 348 | self.model.setParam('scale', 1.0) |
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| 349 | self.model.setParam('r_minor', 20.0) |
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| 350 | self.model.setParam('r_ratio', 1.5) |
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| 351 | self.model.setParam('length', 400.0) |
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| 352 | self.model.setParam('contrast', 3.e-6) |
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| 353 | self.model.setParam('background', 0.0) |
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| 354 | self.model.setParam('cyl_theta', 1.57) |
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| 355 | self.model.setParam('cyl_phi', 0.0) |
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| 356 | self.model.setParam('cyl_psi', 0.0) |
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| 357 | |
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| 358 | def test_simple(self): |
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| 359 | """ |
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| 360 | Test simple 1D and 2D values |
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| 361 | Numbers taken from model that passed validation, before |
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| 362 | the update to C++ underlying class. |
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| 363 | """ |
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| 364 | self.assertAlmostEqual(self.model.run(0.001), 675.50440232504991, 3) |
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| 365 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 669.5173937622792, 3) |
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| 366 | |
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| 367 | def test_dispersion(self): |
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| 368 | """ |
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| 369 | Test with dispersion |
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| 370 | """ |
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| 371 | from sans.models.DisperseModel import DisperseModel |
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| 372 | disp = DisperseModel(self.model, ['r_minor', 'r_ratio', 'length'], [5, 0.25, 50]) |
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| 373 | disp.setParam('n_pts', 10) |
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| 374 | self.assertAlmostEqual(disp.run(0.001), 711.18048194151925, 3) |
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| 375 | self.assertAlmostEqual(disp.runXY([0.001,0.001]), 704.63525988095705, 3) |
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| 376 | |
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| 377 | def test_new_disp(self): |
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| 378 | from sans.models.dispersion_models import GaussianDispersion |
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| 379 | disp_rm = GaussianDispersion() |
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| 380 | self.model.set_dispersion('r_minor', disp_rm) |
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| 381 | self.model.dispersion['r_minor']['width'] = 5.0 |
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| 382 | self.model.dispersion['r_minor']['npts'] = 10 |
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| 383 | |
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| 384 | disp_rr = GaussianDispersion() |
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| 385 | self.model.set_dispersion('r_ratio', disp_rr) |
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| 386 | self.model.dispersion['r_ratio']['width'] = 0.25 |
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| 387 | self.model.dispersion['r_ratio']['npts'] = 10 |
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| 388 | |
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| 389 | disp_len = GaussianDispersion() |
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| 390 | self.model.set_dispersion('length', disp_len) |
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| 391 | self.model.dispersion['length']['width'] = 50.0 |
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| 392 | self.model.dispersion['length']['npts'] = 10 |
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| 393 | |
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| 394 | self.assertAlmostEqual(self.model.run(0.001), 711.18048194151925, 3) |
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| 395 | self.assertAlmostEqual(self.model.runXY([0.001,0.001]), 704.63525988095705, 3) |
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| 396 | |
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| 397 | |
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| 398 | def test_array(self): |
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| 399 | """ |
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| 400 | Perform complete rotational average and |
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| 401 | compare to 1D |
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| 402 | """ |
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| 403 | from sans.models.dispersion_models import ArrayDispersion |
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| 404 | disp_ph = ArrayDispersion() |
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| 405 | disp_th = ArrayDispersion() |
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| 406 | disp_ps = ArrayDispersion() |
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| 407 | |
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| 408 | values_ph = numpy.zeros(100) |
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| 409 | values_th = numpy.zeros(100) |
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| 410 | values_ps = numpy.zeros(100) |
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| 411 | weights = numpy.zeros(100) |
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| 412 | for i in range(100): |
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| 413 | values_ps[i]=(2.0*math.pi/99.0*i) |
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| 414 | values_ph[i]=(2.0*math.pi/99.0*i) |
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| 415 | values_th[i]=(math.pi/99.0*i) |
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| 416 | weights[i]=(1.0) |
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| 417 | |
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| 418 | disp_ph.set_weights(values_ph, weights) |
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| 419 | disp_th.set_weights(values_th, weights) |
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| 420 | disp_ps.set_weights(values_ps, weights) |
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| 421 | |
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| 422 | self.model.set_dispersion('cyl_theta', disp_th) |
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| 423 | self.model.set_dispersion('cyl_phi', disp_ph) |
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| 424 | self.model.set_dispersion('cyl_psi', disp_ps) |
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| 425 | |
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| 426 | val_1d = self.model.run(math.sqrt(0.0002)) |
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| 427 | val_2d = self.model.runXY([0.01,0.01]) |
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| 428 | |
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| 429 | self.assertTrue(math.fabs(val_1d-val_2d)/val_1d < 0.02) |
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| 430 | |
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| 431 | |
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| 432 | |
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| 433 | if __name__ == '__main__': |
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| 434 | unittest.main() |
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| 435 | |
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