def setUp(self):
from sas.models.UnifiedPowerRgModel import UnifiedPowerRgModel
self.model1 = UnifiedPowerRgModel(1)
self.model4 = UnifiedPowerRgModel(4)
def setUp(self):
from sas.models.UnifiedPowerRgModel import UnifiedPowerRgModel
self.model1= UnifiedPowerRgModel(1)
self.model4= UnifiedPowerRgModel(4)
class TestUnifiedPowerRg(unittest.TestCase):
"""
Unit tests for FractalCoreShell Model function
"""
def setUp(self):
from sas.models.UnifiedPowerRgModel import UnifiedPowerRgModel
self.model1 = UnifiedPowerRgModel(1)
self.model4 = UnifiedPowerRgModel(4)
def test1DLabel1(self):
# Label #1
# the values are from Igor pro calculation
# the different digits are due to precision of q values
self.assertAlmostEqual(self.model1.run(0.001), 2.99956, 5)
self.assertAlmostEqual(self.model1.run(0.1501412), 0.126506, 6)
self.assertAlmostEqual(self.model1.runXY(0.4425284), 0.00306386, 8)
def test1DLabel4(self):
# Label #4
# Set params consistent w/NIST
# No. 4 already same
# No. 3
self.model4.setParam('Rg3', 200)
self.model4.setParam('B3', 5e-06)
self.model4.setParam('G3', 400)
# No. 2
self.model4.setParam('Rg2', 600)
self.model4.setParam('B2', 2e-07)
self.model4.setParam('G2', 4000)
# No. 1
self.model4.setParam('Rg1', 2000)
self.model4.setParam('B1', 1e-08)
self.model4.setParam('G1', 40000)
# the values are from Igor pro calculation
# the different digits are due to precision of q values
self.assertAlmostEqual(self.model4.run(0.001), 14778.4, 1)
self.assertAlmostEqual(self.model4.run(0.0301614), 7.88115, 4)
self.assertAlmostEqual(self.model4.run(0.1501412), 0.126864, 6)
self.assertAlmostEqual(self.model4.runXY(0.4425284), 0.00306386, 8)
class TestUnifiedPowerRg(unittest.TestCase):
"""
Unit tests for FractalCoreShell Model function
"""
def setUp(self):
from sas.models.UnifiedPowerRgModel import UnifiedPowerRgModel
self.model1= UnifiedPowerRgModel(1)
self.model4= UnifiedPowerRgModel(4)
def test1DLabel1(self):
# Label #1
# the values are from Igor pro calculation
# the different digits are due to precision of q values
self.assertAlmostEqual(self.model1.run(0.001), 2.99956, 5)
self.assertAlmostEqual(self.model1.run(0.1501412), 0.126506, 6)
self.assertAlmostEqual(self.model1.runXY(0.4425284), 0.00306386, 8)
def test1DLabel4(self):
# Label #4
# Set params consistent w/NIST
# No. 4 already same
# No. 3
self.model4.setParam('Rg3', 200)
self.model4.setParam('B3', 5e-06)
self.model4.setParam('G3', 400)
# No. 2
self.model4.setParam('Rg2', 600)
self.model4.setParam('B2', 2e-07)
self.model4.setParam('G2', 4000)
# No. 1
self.model4.setParam('Rg1', 2000)
self.model4.setParam('B1', 1e-08)
self.model4.setParam('G1', 40000)
# the values are from Igor pro calculation
# the different digits are due to precision of q values
self.assertAlmostEqual(self.model4.run(0.001), 14778.4, 1)
self.assertAlmostEqual(self.model4.run(0.0301614), 7.88115, 4)
self.assertAlmostEqual(self.model4.run(0.1501412), 0.126864, 6)
self.assertAlmostEqual(self.model4.runXY(0.4425284), 0.00306386, 8)
