0bed328fc01823df9a99af2b96441398fd35c938,sksurv/metrics.py,,_get_comparable,#Any#Any#Any#,125

Before Change

            if j - i > 1:
                // event times are tied, need to check for coinciding events
                event_at_same_time = event_indicator[order[inext:j]]
                mask[inext:j] = numpy.logical_not(event_at_same_time)
                tied_time += event_at_same_time.sum()
            comparable[i] = mask
        elif j - i > 1:
            // events at same time are comparable if at least one of them is positive

After Change

        event_at_same_time = event_indicator[order[i:end]]
        censored_at_same_time = ~event_at_same_time
        for j in range(i, end):
            if event_indicator[order[j]]:
                mask = numpy.zeros(n_samples, dtype=bool)
                mask[end:] = True
                // an event is comparable to censored samples at same time point
                mask[i:end] = censored_at_same_time
                comparable[j] = mask
                tied_time += censored_at_same_time.sum()
        i = end

    return comparable, tied_time

Instances