Cache word transformation

[ZeroX-DG]

Fixes #22

[ZeroX-DG]

This make the algorithm much easier to understand & go brrrrrrr. Cargo bench result:

telex vieejt            time:   [3.8949 µs 3.9599 µs 4.0729 µs]
                        change: [-53.199% -52.765% -51.991%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 9 outliers among 100 measurements (9.00%)
  1 (1.00%) low mild
  2 (2.00%) high mild
  6 (6.00%) high severe

telex ddaay             time:   [2.6763 µs 2.6858 µs 2.7009 µs]
                        change: [-59.035% -58.486% -57.974%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 12 outliers among 100 measurements (12.00%)
  3 (3.00%) low mild
  3 (3.00%) high mild
  6 (6.00%) high severe

telex jjjjjjjjjjjjjj    time:   [15.522 µs 15.707 µs 16.071 µs]
                        change: [+0.1116% +0.6667% +1.4885%] (p = 0.06 > 0.05)
                        No change in performance detected.
Found 7 outliers among 100 measurements (7.00%)
  2 (2.00%) low mild
  3 (3.00%) high mild
  2 (2.00%) high severe

telex jj                time:   [739.88 ns 748.04 ns 764.59 ns]
                        change: [+12.665% +13.586% +14.937%] (p = 0.00 < 0.05)
                        Performance has regressed.
Found 8 outliers among 100 measurements (8.00%)
  2 (2.00%) low mild
  2 (2.00%) high mild
  4 (4.00%) high severe

telex nghienge          time:   [5.2701 µs 5.2793 µs 5.2898 µs]
                        change: [-54.482% -48.195% -43.994%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 5 outliers among 100 measurements (5.00%)
  2 (2.00%) low mild
  1 (1.00%) high mild
  2 (2.00%) high severe

telex ddaaysf           time:   [5.0006 µs 5.0082 µs 5.0166 µs]
                        change: [-57.446% -57.326% -57.216%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 5 outliers among 100 measurements (5.00%)
  2 (2.00%) low mild
  3 (3.00%) high mild

vni viet65              time:   [3.7094 µs 3.7258 µs 3.7547 µs]
                        change: [-50.410% -49.229% -46.934%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 5 outliers among 100 measurements (5.00%)
  1 (1.00%) low mild
  1 (1.00%) high mild
  3 (3.00%) high severe

vni day96               time:   [2.6786 µs 2.6826 µs 2.6869 µs]
                        change: [-8.1528% -7.0290% -6.3138%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 10 outliers among 100 measurements (10.00%)
  1 (1.00%) low severe
  1 (1.00%) low mild
  6 (6.00%) high mild
  2 (2.00%) high severe

vni 1111111111111111    time:   [19.873 µs 19.907 µs 19.947 µs]
                        change: [+2.8420% +3.1429% +3.4919%] (p = 0.00 < 0.05)
                        Performance has regressed.
Found 8 outliers among 100 measurements (8.00%)
  2 (2.00%) low mild
  4 (4.00%) high mild
  2 (2.00%) high severe

vni 11                  time:   [748.85 ns 760.32 ns 779.30 ns]
                        change: [+15.165% +16.850% +19.417%] (p = 0.00 < 0.05)
                        Performance has regressed.
Found 7 outliers among 100 measurements (7.00%)
  2 (2.00%) low severe
  3 (3.00%) high mild
  2 (2.00%) high severe

vni nghieng6            time:   [5.1941 µs 5.2048 µs 5.2174 µs]
                        change: [-39.247% -39.095% -38.916%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 9 outliers among 100 measurements (9.00%)
  3 (3.00%) low mild
  3 (3.00%) high mild
  3 (3.00%) high severe

vni day9612             time:   [5.0640 µs 5.1370 µs 5.2817 µs]
                        change: [-54.278% -53.928% -53.350%] (p = 0.00 < 0.05)
                        Performance has improved.
Found 10 outliers among 100 measurements (10.00%)
  1 (1.00%) low severe
  2 (2.00%) low mild
  2 (2.00%) high mild
  5 (5.00%) high severe