def METHOD_NAME(results, show_bin):
    results = np.array(list(filter(lambda x: x is not None, results)))
    np.set_printoptions(precision=3)
    def _print_result(results):
        dist, dur_ref, dur_syn, dur_ali, nins, ndel = results.sum(axis=0)
        res = {
            "nutt": len(results),
            "dist": dist,
            "dur_ref": int(dur_ref),
            "dur_syn": int(dur_syn),
            "dur_ali": int(dur_ali),
            "dist_per_ref_frm": dist/dur_ref,
            "dist_per_syn_frm": dist/dur_syn,
            "dist_per_ali_frm": dist/dur_ali,
            "ins": nins/dur_ref,
            "del": ndel/dur_ref,
        }
        print(tabulate(
            [res.values()],
            res.keys(),
            floatfmt=".4f"
        ))
    print(">>>> ALL")
    _print_result(results)
    if show_bin:
        edges = [0, 200, 400, 600, 800, 1000, 2000, 4000]
        for i in range(1, len(edges)):
            mask = np.logical_and(results[:, 1] >= edges[i-1],
                                  results[:, 1] < edges[i])
            if not mask.any():
                continue
            bin_results = results[mask]
            print(f">>>> ({edges[i-1]}, {edges[i]})")
            _print_result(bin_results)