def test_convolve_regressors():
"""
tests for convolve_regressors helper function
"""
conditions = [0, 1]
onsets = [20, 40]
paradigm = dm.EventRelatedParadigm(conditions, onsets)
# names not passed -> default names
f, names = dm.convolve_regressors(paradigm, 'Canonical')
yield assert_equal(names, ['c0', 'c1'])
def set_conditions(self, hrfmodel="Canonical"):
"""
Set the conditions of the model as a formula
"""
if self.protocol == None:
self.conditions = None
else:
self.conditions, self._names = convolve_regressors(self.protocol,
hrfmodel, self._names)
def test_convolve_regressors():
# tests for convolve_regressors helper function
paradigm = [[0, 20], [1, 40]]
# names not passed -> default names
f, names = convolve_regressors(paradigm, "Canonical")
yield assert_equal(names, ["c0", "c1"])
