c7cc116394497fb954eee67f996e1e14f32d9aec,mvpa2/datasets/eventrelated.py,,fit_event_hrf_model,#Any#Any#Any#Any#Any#Any#Any#Any#,386

Before Change

        for attr in regr_attrs:
            names.append(attr)
            regrs.append(ds.sa[attr].value)
        if len(regrs) < 2:
            regrs = [regrs]
        regrs = np.hstack(regrs).T
        if "add_regs" in design_kwargs:

After Change

                names.append(attr)
            else:
                //  add one per each column of the regressor
                for i in xrange(regr.shape[1]):
                    names.append("%s.%d" % (attr, i))
            regrs.append(regr)
        regrs = np.hstack(regrs)

        if "add_regs" in design_kwargs:

Instances