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)
