def METHOD_NAME(n_threads, chunk_size, n_chunks, total_mb, measurements, compare=None):
    mymean = np.mean(measurements)
    xfaster = (compare/float(mymean)) if compare is not None else 0
    measurements = n_threads, chunk_size, n_chunks, total_mb, \
                   mymean, np.min(measurements), np.max(measurements), np.std(measurements), \
                   ("{:.2f}x faster than single threaded".format(xfaster) if xfaster > 1 else "")
    print("(x{:<3}threads) ({:.1f} MB/chunk, x{:<4} chunks, total {:.1f} MB) \t "
          "mean={:.6f} min={:.6f} max={:.6f} std={:.8f} {}".format(*measurements))