2bc9b7b91658baaf9717dba6565df203154d7cc9,textacy/keyterms.py,,sgrank,#Any#Any#Any#Any#Any#,25

Before Change

                        if start_ind <= term[1] <= end_ind)
        // get all token combinations within window
        for t1, t2 in itertools.combinations(window_terms, 2):
            if t1 == t2:
                continue
            n_coocs[t1[0]][t2[0]] += 1
            try:
                sum_logdists[t1[0]][t2[0]] += \
                    log_(window_width / abs(t1[1] - t2[1]))
            except ZeroDivisionError:  // HACK: pretend that they"re 1 token apart
                sum_logdists[t1[0]][t2[0]] += log_(window_width)
        if end_ind > n_toks:
            break

    // compute edge weights between co-occurring terms (nodes)

After Change

        // get all token combinations within window
        for t1, t2 in itertools.combinations(window_terms, 2):
            n_coocs[t1[0]][t2[0]] += 1
            sum_logdists[t1[0]][t2[0]] += log_(window_width / max(abs(t1[1] - t2[1]), 1))
        if end_ind > n_toks:
            break

Instances