[ec1c554] | 1 | """ |
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[339ce67] | 2 | Unit tests for extra models,PolymerexclVolume, RPA10Model |
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| 3 | The reference values are calculated on IGOR/NIST package(Oct.,2010) |
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| 4 | @author: JHJ Cho / UTK |
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[ec1c554] | 5 | """ |
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| 6 | import unittest |
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| 7 | class TestPolymerExclVolume(unittest.TestCase): |
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| 8 | """ |
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[339ce67] | 9 | Unit tests for PolymerexclVolume (non-shape) function |
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[ec1c554] | 10 | """ |
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| 11 | def setUp(self): |
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| 12 | from sans.models.PolymerExclVolume import PolymerExclVolume |
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| 13 | self.model= PolymerExclVolume() |
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| 14 | |
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| 15 | def test1D(self): |
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| 16 | # the values are from Igor pro calculation |
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| 17 | self.assertAlmostEqual(self.model.run(0.001), 0.998801, 6) |
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| 18 | self.assertAlmostEqual(self.model.run(0.21571), 0.00192041, 6) |
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| 19 | self.assertAlmostEqual(self.model.runXY(0.41959), 0.000261302, 6) |
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| 20 | |
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[339ce67] | 21 | class TestRPA10Case(unittest.TestCase): |
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[35aface] | 22 | """ |
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[339ce67] | 23 | Unit tests for RPA10Model (non-shape) function |
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[35aface] | 24 | """ |
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| 25 | def setUp(self): |
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| 26 | from sans.models.RPA10Model import RPA10Model |
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| 27 | self.model0= RPA10Model(0) |
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| 28 | self.model1= RPA10Model(1) |
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| 29 | self.model2= RPA10Model(2) |
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| 30 | self.model3= RPA10Model(3) |
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| 31 | self.model4= RPA10Model(4) |
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| 32 | self.model5= RPA10Model(5) |
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| 33 | self.model6= RPA10Model(6) |
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| 34 | self.model7= RPA10Model(7) |
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| 35 | self.model8= RPA10Model(8) |
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| 36 | self.model9= RPA10Model(9) |
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| 37 | |
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| 38 | def test1D(self): |
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| 39 | # the test values are from Igor pro calculation |
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| 40 | # case 0 |
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| 41 | # set default of vol fration consistent with IGor |
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| 42 | self.model0.setParam('Phic',0.5) |
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| 43 | self.model0.setParam('Phid',0.5) |
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| 44 | self.assertAlmostEqual(self.model0.run(0.001), 0.0716863, 6) |
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| 45 | self.assertAlmostEqual(self.model0.runXY(0.414955), 0.00396997, 6) |
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| 46 | # case 1 |
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| 47 | # set default of vol fration consistent with IGor |
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| 48 | self.model1.setParam('Phic',0.5) |
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| 49 | self.model1.setParam('Phid',0.5) |
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| 50 | self.assertAlmostEqual(self.model1.run(0.001), 0.00395016, 6) |
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| 51 | self.assertAlmostEqual(self.model1.runXY(0.414955), 0.00396735, 6) |
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| 52 | # case 2 |
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| 53 | # set default of vol fration consistent with IGor |
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| 54 | self.model2.setParam('Phib',0.33) |
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| 55 | self.model2.setParam('Phic',0.33) |
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| 56 | self.model2.setParam('Phid',0.33) |
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| 57 | self.assertAlmostEqual(self.model2.run(0.001), 0.0932902, 6) |
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| 58 | self.assertAlmostEqual(self.model2.runXY(0.414955), 0.00355736, 6) |
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| 59 | # case 3 |
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| 60 | # set default of vol fration consistent with IGor |
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| 61 | self.model3.setParam('Phib',0.33) |
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| 62 | self.model3.setParam('Phic',0.33) |
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| 63 | self.model3.setParam('Phid',0.33) |
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| 64 | self.assertAlmostEqual(self.model3.run(0.001), 0.026254, 6) |
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| 65 | self.assertAlmostEqual(self.model3.runXY(0.414955), 0.00355577, 6) |
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| 66 | # case 4 |
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| 67 | # set default of vol fration consistent with IGor |
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| 68 | self.model4.setParam('Phib',0.33) |
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| 69 | self.model4.setParam('Phic',0.33) |
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| 70 | self.model4.setParam('Phid',0.33) |
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| 71 | self.assertAlmostEqual(self.model4.run(0.001), 0.0067433, 6) |
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| 72 | self.assertAlmostEqual(self.model4.runXY(0.414955), 0.00355656, 6) |
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| 73 | # case 5 |
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| 74 | self.assertAlmostEqual(self.model5.run(0.001), 0.102636, 6) |
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| 75 | self.assertAlmostEqual(self.model5.runXY(0.414955), 0.00305812, 6) |
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| 76 | # case 6 |
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| 77 | self.assertAlmostEqual(self.model6.run(0.001), 0.0370357, 6) |
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| 78 | self.assertAlmostEqual(self.model6.runXY(0.414955), 0.00305708, 6) |
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| 79 | # case 7 |
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| 80 | self.assertAlmostEqual(self.model7.run(0.001), 0.0167775, 6) |
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| 81 | self.assertAlmostEqual(self.model7.runXY(0.414955), 0.00305743, 6) |
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| 82 | # case 8 |
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| 83 | self.assertAlmostEqual(self.model8.run(0.001), 0.0378691, 6) |
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| 84 | self.assertAlmostEqual(self.model8.runXY(0.414955), 0.00305743, 6) |
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| 85 | # case 9 |
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| 86 | self.assertAlmostEqual(self.model9.run(0.001), 0.00839376, 6) |
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[339ce67] | 87 | self.assertAlmostEqual(self.model9.runXY(0.414955), 0.00305777, 6) |
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| 88 | |
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| 89 | class TestBarBell(unittest.TestCase): |
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| 90 | """ |
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| 91 | Unit tests for BarBell function |
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| 92 | """ |
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| 93 | def setUp(self): |
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| 94 | from sans.models.BarBellModel import BarBellModel |
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| 95 | self.model= BarBellModel() |
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| 96 | |
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| 97 | def test1D(self): |
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| 98 | # the values are from Igor pro calculation |
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| 99 | self.assertAlmostEqual(self.model.run(0.001), 2864.7, 1) |
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| 100 | self.assertAlmostEqual(self.model.run(0.215268), 0.526351, 4) |
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| 101 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.0685892, 6) |
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| 102 | |
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| 103 | class TestCappedCylinder(unittest.TestCase): |
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| 104 | """ |
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| 105 | Unit tests for CappedCylinder function |
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| 106 | """ |
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| 107 | def setUp(self): |
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| 108 | from sans.models.CappedCylinderModel import CappedCylinderModel |
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| 109 | self.model= CappedCylinderModel() |
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| 110 | |
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| 111 | def test1D(self): |
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| 112 | # the values are from Igor pro calculation |
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| 113 | # the different digits are due to precision of q values |
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| 114 | self.assertAlmostEqual(self.model.run(0.001), 1424.72, 2) |
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| 115 | self.assertAlmostEqual(self.model.run(0.215268), 0.360736, 4) |
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| 116 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.110283, 5) |
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| 117 | |
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| 118 | class TestLamellarParaCrystal(unittest.TestCase): |
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| 119 | """ |
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| 120 | Unit tests for LamellarParaCystal function |
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| 121 | """ |
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| 122 | def setUp(self): |
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| 123 | from sans.models.LamellarPCrystalModel import LamellarPCrystalModel |
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| 124 | self.model= LamellarPCrystalModel() |
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| 125 | |
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| 126 | def test1D(self): |
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| 127 | self.model.setParam("pd_spacing", 0.2) |
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| 128 | # the values are from Igor pro calculation |
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| 129 | # the different digits are due to precision of q values |
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| 130 | self.assertAlmostEqual(self.model.run(0.001), 21829.3, 1) |
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| 131 | self.assertAlmostEqual(self.model.run(0.215268), 0.00487686, 6) |
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| 132 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.00062029, 6) |
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| 133 | |
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| 134 | |
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| 135 | class TestSCParaCrystal(unittest.TestCase): |
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| 136 | """ |
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| 137 | Unit tests for Simple Cubic ParaCrystal Model function |
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| 138 | """ |
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| 139 | def setUp(self): |
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| 140 | from sans.models.SCCrystalModel import SCCrystalModel |
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| 141 | self.model= SCCrystalModel() |
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| 142 | |
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| 143 | def test1D(self): |
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| 144 | # the values are from Igor pro calculation |
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| 145 | # the different digits are due to precision of q values |
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| 146 | self.assertAlmostEqual(self.model.run(0.001), 10.3038, 4) |
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| 147 | self.assertAlmostEqual(self.model.run(0.215268), 0.00714905, 6) |
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| 148 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.000313289, 6) |
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| 149 | |
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| 150 | class TestFCParaCrystal(unittest.TestCase): |
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| 151 | """ |
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| 152 | Unit tests for Face Centered Cubic ParaCrystal Model function |
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| 153 | """ |
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| 154 | def setUp(self): |
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| 155 | from sans.models.FCCrystalModel import FCCrystalModel |
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| 156 | self.model= FCCrystalModel() |
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| 157 | |
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| 158 | def test1D(self): |
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| 159 | self.model.setParam("d_factor", 0.05) |
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| 160 | # the values are from Igor pro calculation |
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| 161 | # the different digits are due to precision of q values |
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| 162 | self.assertAlmostEqual(self.model.run(0.001), 0.121017, 6) |
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| 163 | self.assertAlmostEqual(self.model.run(0.215268), 0.0107218, 6) |
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| 164 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.000443282, 6) |
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| 165 | |
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| 166 | class TestBCParaCrystal(unittest.TestCase): |
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| 167 | """ |
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| 168 | Unit tests for Body Centered Cubic ParaCrystal Model function |
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| 169 | """ |
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| 170 | def setUp(self): |
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| 171 | from sans.models.BCCrystalModel import BCCrystalModel |
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| 172 | self.model= BCCrystalModel() |
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[ec1c554] | 173 | |
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[339ce67] | 174 | def test1D(self): |
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| 175 | # the values are from Igor pro calculation |
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| 176 | # the different digits are due to precision of q values |
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| 177 | self.assertAlmostEqual(self.model.run(0.001), 1.77267, 4) |
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| 178 | self.assertAlmostEqual(self.model.run(0.215268), 0.00927739, 6) |
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| 179 | self.assertAlmostEqual(self.model.runXY(0.414467), 0.000406973, 6) |
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[8f20419d] | 180 | |
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| 181 | |
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| 182 | class TestGuinierPorod(unittest.TestCase): |
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| 183 | """ |
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| 184 | Unit tests for GuinierPorod Model function |
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| 185 | """ |
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| 186 | def setUp(self): |
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| 187 | from sans.models.GuinierPorodModel import GuinierPorodModel |
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| 188 | self.model= GuinierPorodModel() |
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| 189 | |
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| 190 | def test1D(self): |
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| 191 | # the values are from Igor pro calculation |
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| 192 | # the different digits are due to precision of q values |
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| 193 | self.assertAlmostEqual(self.model.run(0.001), 995.112, 3) |
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| 194 | self.assertAlmostEqual(self.model.run(0.105363), 0.162904, 5) |
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| 195 | self.assertAlmostEqual(self.model.runXY(0.441623), 0.100854, 6) |
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| 196 | |
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| 197 | class TestGaussLorentzGel(unittest.TestCase): |
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| 198 | """ |
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| 199 | Unit tests for GuinierPorod Model function |
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| 200 | """ |
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| 201 | def setUp(self): |
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| 202 | from sans.models.GaussLorentzGelModel import GaussLorentzGelModel |
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| 203 | self.model= GaussLorentzGelModel() |
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| 204 | |
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| 205 | def test1D(self): |
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| 206 | # the values are from Igor pro calculation |
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| 207 | # the different digits are due to precision of q values |
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| 208 | self.assertAlmostEqual(self.model.run(0.001), 149.481, 3) |
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| 209 | self.assertAlmostEqual(self.model.run(0.105363), 9.1903, 4) |
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| 210 | self.assertAlmostEqual(self.model.runXY(0.441623), 0.632811, 5) |
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| 211 | |
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| 212 | |
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| 213 | class TestTwoPowerLaw(unittest.TestCase): |
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| 214 | """ |
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| 215 | Unit tests for TwoPowerLaw Model function |
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| 216 | """ |
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| 217 | def setUp(self): |
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| 218 | from sans.models.TwoPowerLawModel import TwoPowerLawModel |
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| 219 | self.model= TwoPowerLawModel() |
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| 220 | |
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| 221 | def test1D(self): |
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| 222 | # the values are from Igor pro calculation |
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| 223 | # the different digits are due to precision of q values |
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| 224 | self.assertEqual(self.model.run(0.001), 1000) |
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| 225 | self.assertAlmostEqual(self.model.run(0.150141), 0.125945, 5) |
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| 226 | self.assertAlmostEqual(self.model.runXY(0.442528), 0.00166884, 7) |
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| 227 | |
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| 228 | class TestTwoLorentzian(unittest.TestCase): |
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| 229 | """ |
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| 230 | Unit tests for TwoLorentzian Model function |
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| 231 | """ |
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| 232 | def setUp(self): |
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| 233 | from sans.models.TwoLorentzianModel import TwoLorentzianModel |
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| 234 | self.model= TwoLorentzianModel() |
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| 235 | |
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| 236 | def test1D(self): |
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| 237 | # the values are from Igor pro calculation |
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| 238 | # the different digits are due to precision of q values |
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| 239 | self.assertAlmostEqual(self.model.run(0.001), 11.0899, 3) |
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| 240 | self.assertAlmostEqual(self.model.run(0.150141), 0.410245, 5) |
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| 241 | self.assertAlmostEqual(self.model.runXY(0.442528), 0.148699, 6) |
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| 242 | |
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| 243 | |
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| 244 | class TestCorrLengthLaw(unittest.TestCase): |
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| 245 | """ |
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| 246 | Unit tests for CorrLength Model function |
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| 247 | """ |
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| 248 | def setUp(self): |
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| 249 | from sans.models.CorrLengthModel import CorrLengthModel |
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| 250 | self.model= CorrLengthModel() |
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| 251 | |
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| 252 | def test1D(self): |
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| 253 | # the values are from Igor pro calculation |
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| 254 | # the different digits are due to precision of q values |
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| 255 | self.assertAlmostEqual(self.model.run(0.001), 1010.08, 1) |
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| 256 | self.assertAlmostEqual(self.model.run(0.150141), 0.274645, 5) |
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| 257 | self.assertAlmostEqual(self.model.runXY(0.442528), 0.120396, 6) |
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| 258 | |
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| 259 | |
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| 260 | class TestBroadPeak(unittest.TestCase): |
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| 261 | """ |
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| 262 | Unit tests for BroadPeak Model function |
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| 263 | """ |
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| 264 | def setUp(self): |
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| 265 | from sans.models.BroadPeakModel import BroadPeakModel |
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| 266 | self.model= BroadPeakModel() |
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| 267 | |
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| 268 | def test1D(self): |
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| 269 | # the values are from Igor pro calculation |
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| 270 | # the different digits are due to precision of q values |
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| 271 | self.assertAlmostEqual(self.model.run(0.001), 10000.5, 1) |
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| 272 | self.assertAlmostEqual(self.model.run(0.1501412), 1.47557, 5) |
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| 273 | self.assertAlmostEqual(self.model.runXY(0.4425284), 0.134093, 6) |
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| 274 | |
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| 275 | class TestFractalCoreShell(unittest.TestCase): |
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| 276 | """ |
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| 277 | Unit tests for FractalCoreShell Model function |
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| 278 | """ |
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| 279 | def setUp(self): |
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| 280 | from sans.models.FractalCoreShellModel import FractalCoreShellModel |
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| 281 | self.model= FractalCoreShellModel() |
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| 282 | |
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| 283 | def test1D(self): |
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| 284 | #self.model.setParam('radius.width', 2.0) |
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| 285 | # the values are from Igor pro calculation |
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| 286 | # the different digits are due to precision of q values |
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| 287 | self.assertAlmostEqual(self.model.run(0.001), 273.742, 3) |
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| 288 | self.assertAlmostEqual(self.model.run(0.1501412), 0.040079, 6) |
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[495c377] | 289 | self.assertAlmostEqual(self.model.runXY(0.4425284), 0.00141167, 8) |
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| 290 | |
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| 291 | def test1DSchulzDispersion(self): |
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| 292 | # Same test w/ test1D up there but w/ Schulzdispersion |
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| 293 | from sans.models.dispersion_models import SchulzDispersion |
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| 294 | disp = SchulzDispersion() |
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| 295 | self.model.set_dispersion('radius', disp) |
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| 296 | self.model.dispersion['radius']['width'] = 2.0 |
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| 297 | self.model.dispersion['radius']['npts'] = 100 |
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| 298 | self.model.dispersion['radius']['nsigmas'] = 3.0 |
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| 299 | # the values are from Igor pro calculation |
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| 300 | # the run does not neccessary to be exactly same with NIST |
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| 301 | # 'cause we used different method. |
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| 302 | self.assertAlmostEqual(self.model.run(0.001), 287.851, -1) |
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| 303 | self.assertAlmostEqual(self.model.run(0.1501412), 0.0500775, 3) |
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| 304 | self.assertAlmostEqual(self.model.runXY(0.4425284), 0.00390948, 3) |
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| 305 | |
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[29100cb] | 306 | |
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| 307 | class TestUnifiedPowerRg(unittest.TestCase): |
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| 308 | """ |
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| 309 | Unit tests for FractalCoreShell Model function |
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| 310 | """ |
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| 311 | def setUp(self): |
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| 312 | from sans.models.UnifiedPowerRgModel import UnifiedPowerRgModel |
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| 313 | self.model1= UnifiedPowerRgModel(1) |
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| 314 | self.model4= UnifiedPowerRgModel(4) |
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| 315 | |
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| 316 | def test1DLabel1(self): |
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| 317 | # Label #1 |
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| 318 | # the values are from Igor pro calculation |
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| 319 | # the different digits are due to precision of q values |
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| 320 | self.assertAlmostEqual(self.model1.run(0.001), 2.99956, 5) |
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| 321 | self.assertAlmostEqual(self.model1.run(0.1501412), 0.126506, 6) |
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| 322 | self.assertAlmostEqual(self.model1.runXY(0.4425284), 0.00306386, 8) |
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| 323 | |
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| 324 | def test1DLabel4(self): |
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| 325 | # Label #4 |
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| 326 | # Set params consistent w/NIST |
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| 327 | # No. 4 already same |
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| 328 | # No. 3 |
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| 329 | self.model4.setParam('Rg3', 200) |
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| 330 | self.model4.setParam('B3', 5e-06) |
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| 331 | self.model4.setParam('G3', 400) |
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| 332 | # No. 2 |
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| 333 | self.model4.setParam('Rg2', 600) |
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| 334 | self.model4.setParam('B2', 2e-07) |
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| 335 | self.model4.setParam('G2', 4000) |
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| 336 | # No. 1 |
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| 337 | self.model4.setParam('Rg1', 2000) |
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| 338 | self.model4.setParam('B1', 1e-08) |
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| 339 | self.model4.setParam('G1', 40000) |
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| 340 | |
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| 341 | # the values are from Igor pro calculation |
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| 342 | # the different digits are due to precision of q values |
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| 343 | self.assertAlmostEqual(self.model4.run(0.001), 14778.4, 1) |
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| 344 | self.assertAlmostEqual(self.model4.run(0.0301614), 7.88115, 4) |
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| 345 | self.assertAlmostEqual(self.model4.run(0.1501412), 0.126864, 6) |
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| 346 | self.assertAlmostEqual(self.model4.runXY(0.4425284), 0.00306386, 8) |
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[495c377] | 347 | |
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[18f2ca1] | 348 | |
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| 349 | class TestCSPP(unittest.TestCase): |
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| 350 | """ |
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| 351 | Unit tests for CSParallelepiped Model function |
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| 352 | """ |
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| 353 | def setUp(self): |
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| 354 | from sans.models.CSParallelepipedModel import CSParallelepipedModel |
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| 355 | self.model= CSParallelepipedModel() |
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| 356 | |
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| 357 | def test1D(self): |
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| 358 | # the values are from Igor pro calculation |
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| 359 | # the different digits are due to precision of q values |
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| 360 | self.assertAlmostEqual(self.model.run(0.001), 1383.96, 2) |
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| 361 | self.assertAlmostEqual(self.model.run(0.1501412), 2.51932, 4) |
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| 362 | self.assertAlmostEqual(self.model.runXY(0.4425284), 0.0736735, 6) |
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| 363 | |
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[ec1c554] | 364 | if __name__ == '__main__': |
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| 365 | unittest.main() |
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