class TestConstant(unittest.TestCase):
"""Unit tests for Cos(x) function"""
def setUp(self):
from sas.models.Constant import Constant
self.const = Constant()
self.const.setParam('value', 56.1)
def test1D(self):
self.assertEqual(self.const.run(1.13), 56.1)
def test2D(self):
self.assertEqual(self.const.run([1.13, 0.56]), 56.1)
self.assertEqual(self.const.runXY([1.13, 0.56]), 56.1)
def testFunction(self):
# version 0.5.0: No longer supported
return
from sas.models.Sin import Sin
s = Sin()
A = self.const
A.setParam('Value', 1.5)
B = self.const.clone()
B.setParam('value', 2.0)
C = self.const.clone()
C.setParam('value', 3.0)
f = A + B * s * s + C
answer = 1.5 + 2.0 * math.sin(1.1)**2 + 3.0
self.assertEqual(f.run(1.1), answer)
class TestConstant(unittest.TestCase):
"""Unit tests for Cos(x) function"""
def setUp(self):
from sas.models.Constant import Constant
self.const = Constant()
self.const.setParam('value',56.1)
def test1D(self):
self.assertEqual(self.const.run(1.13), 56.1)
def test2D(self):
self.assertEqual(self.const.run([1.13,0.56]), 56.1)
self.assertEqual(self.const.runXY([1.13,0.56]), 56.1)
def testFunction(self):
# version 0.5.0: No longer supported
return
from sas.models.Sin import Sin
s = Sin()
A = self.const
A.setParam('Value',1.5)
B = self.const.clone()
B.setParam('value',2.0)
C = self.const.clone()
C.setParam('value',3.0)
f = A+B*s*s+C
answer = 1.5+2.0*math.sin(1.1)**2+3.0
self.assertEqual(f.run(1.1), answer)
def test_constraints(self):
""" fit 2 data and 2 model with 1 constrainst"""
#load data
l = Loader()
data1= l.load("testdata_line.txt")
data1.name = data1.filename
data2= l.load("testdata_cst.txt")
data2.name = data2.filename
# Receives the type of model for the fitting
model11 = LineModel()
model11.name= "line"
model11.setParam("A", 1.0)
model11.setParam("B",1.0)
model22 = Constant()
model22.name= "cst"
model22.setParam("value", 1.0)
model1 = Model(model11,data1)
model2 = Model(model22,data2)
model1.set(A=4)
model1.set(B=3)
# Constraint the constant value to be equal to parameter B (the real value is 2.5)
#model2.set(value='line.B')
pars1= ['A','B']
pars2= ['value']
#Importing the Fit module
fitter = Fit()
fitter.set_data(data1,1)
fitter.set_model(model1,1,pars1)
fitter.set_data(data2,2,smearer=None)
fitter.set_model(model2,2,pars2,constraints=[("value","line.B")])
fitter.select_problem_for_fit(id=1,value=1)
fitter.select_problem_for_fit(id=2,value=1)
R1,R2 = fitter.fit(handler=FitHandler())
self.assertTrue( math.fabs(R1.pvec[0]-4.0)/3. <= R1.stderr[0])
self.assertTrue( math.fabs(R1.pvec[1]-2.5)/3. <= R1.stderr[1])
self.assertTrue( R1.fitness/(len(data1.x)+len(data2.x)) < 2)
def test_constraints(self):
""" fit 2 data and 2 model with 1 constrainst"""
#load data
l = Loader()
data1 = l.load("testdata_line.txt")
data1.name = data1.filename
data2 = l.load("testdata_cst.txt")
data2.name = data2.filename
# Receives the type of model for the fitting
model11 = LineModel()
model11.name = "line"
model11.setParam("A", 1.0)
model11.setParam("B", 1.0)
model22 = Constant()
model22.name = "cst"
model22.setParam("value", 1.0)
model1 = Model(model11, data1)
model2 = Model(model22, data2)
model1.set(A=4)
model1.set(B=3)
# Constraint the constant value to be equal to parameter B (the real value is 2.5)
#model2.set(value='line.B')
pars1 = ['A', 'B']
pars2 = ['value']
#Importing the Fit module
fitter = Fit('bumps')
fitter.set_data(data1, 1)
fitter.set_model(model1, 1, pars1)
fitter.set_data(data2, 2, smearer=None)
fitter.set_model(model2, 2, pars2, constraints=[("value", "line.B")])
fitter.select_problem_for_fit(id=1, value=1)
fitter.select_problem_for_fit(id=2, value=1)
R1, R2 = fitter.fit(handler=FitHandler())
self.assertTrue(math.fabs(R1.pvec[0] - 4.0) / 3. <= R1.stderr[0])
self.assertTrue(math.fabs(R1.pvec[1] - 2.5) / 3. <= R1.stderr[1])
self.assertTrue(R1.fitness / (len(data1.x) + len(data2.x)) < 2)
def setUp(self):
from sas.models.Constant import Constant
self.const = Constant()
self.const.setParam('value', 56.1)
def setUp(self):
from sas.models.Constant import Constant
self.const = Constant()
self.const.setParam('value',56.1)
