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"])