Use memchr for wheel parsing

[charliermarsh]

Summary

Before:

wheelname_parsing/numpy-compatible
                        time:   [106.90 ns 107.86 ns 108.86 ns]
                        thrpt:  [402.97 MiB/s 406.71 MiB/s 410.39 MiB/s]
                 change:
                        time:   [-4.5360% -3.7694% -2.9179%] (p = 0.00 < 0.05)
                        thrpt:  [+3.0056% +3.9170% +4.7515%]
                        Performance has improved.
wheelname_parsing/flyte-short-incompatible
                        time:   [81.439 ns 82.209 ns 83.015 ns]
                        thrpt:  [390.59 MiB/s 394.42 MiB/s 398.15 MiB/s]
                 change:
                        time:   [+6.2344% +7.5385% +8.8928%] (p = 0.00 < 0.05)
                        thrpt:  [-8.1666% -7.0101% -5.8685%]
                        Performance has regressed.
wheelname_parsing/flyte-short-compatible
                        time:   [78.909 ns 79.456 ns 80.031 ns]
                        thrpt:  [357.49 MiB/s 360.08 MiB/s 362.57 MiB/s]
                 change:
                        time:   [+3.2653% +4.1733% +5.1062%] (p = 0.00 < 0.05)
                        thrpt:  [-4.8582% -4.0061% -3.1620%]
                        Performance has regressed.
Found 1 outliers among 100 measurements (1.00%)
  1 (1.00%) high mild
wheelname_parsing/flyte-long-incompatible
                        time:   [353.35 ns 357.49 ns 361.77 ns]
                        thrpt:  [340.06 MiB/s 344.13 MiB/s 348.17 MiB/s]
                 change:
                        time:   [+1.4846% +2.0228% +2.6504%] (p = 0.00 < 0.05)
                        thrpt:  [-2.5820% -1.9827% -1.4629%]
                        Performance has regressed.
Found 10 outliers among 100 measurements (10.00%)
  5 (5.00%) high mild
  5 (5.00%) high severe
wheelname_parsing/flyte-long-compatible
                        time:   [256.47 ns 258.12 ns 260.17 ns]
                        thrpt:  [417.88 MiB/s 421.20 MiB/s 423.90 MiB/s]
                 change:
                        time:   [+0.4079% +1.8252% +3.6270%] (p = 0.02 < 0.05)
                        thrpt:  [-3.5001% -1.7925% -0.4063%]
                        Change within noise threshold.
Found 1 outliers among 100 measurements (1.00%)
  1 (1.00%) high severe

After:

wheelname_parsing_fastest/numpy-compatible
                        time:   [61.500 ns 61.904 ns 62.350 ns]
                        thrpt:  [703.60 MiB/s 708.66 MiB/s 713.32 MiB/s]
                 change:
                        time:   [+0.9879% +1.4542% +1.9311%] (p = 0.00 < 0.05)
                        thrpt:  [-1.8945% -1.4334% -0.9782%]
                        Change within noise threshold.
Found 8 outliers among 100 measurements (8.00%)
  6 (6.00%) high mild
  2 (2.00%) high severe
wheelname_parsing_fastest/flyte-short-incompatible
                        time:   [49.341 ns 49.538 ns 49.769 ns]
                        thrpt:  [651.50 MiB/s 654.54 MiB/s 657.16 MiB/s]
                 change:
                        time:   [+5.8750% +6.3656% +6.8338%] (p = 0.00 < 0.05)
                        thrpt:  [-6.3967% -5.9847% -5.5490%]
                        Performance has regressed.
Found 17 outliers among 100 measurements (17.00%)
  5 (5.00%) low severe
  1 (1.00%) low mild
  6 (6.00%) high mild
  5 (5.00%) high severe
wheelname_parsing_fastest/flyte-short-compatible
                        time:   [49.425 ns 49.789 ns 50.193 ns]
                        thrpt:  [570.01 MiB/s 574.63 MiB/s 578.86 MiB/s]
                 change:
                        time:   [+5.1267% +5.7418% +6.3476%] (p = 0.00 < 0.05)
                        thrpt:  [-5.9687% -5.4300% -4.8767%]
                        Performance has regressed.
Found 7 outliers among 100 measurements (7.00%)
  7 (7.00%) high mild
wheelname_parsing_fastest/flyte-long-incompatible
                        time:   [295.81 ns 298.01 ns 301.04 ns]
                        thrpt:  [408.66 MiB/s 412.82 MiB/s 415.89 MiB/s]
                 change:
                        time:   [+0.5553% +1.0842% +1.7059%] (p = 0.00 < 0.05)
                        thrpt:  [-1.6772% -1.0726% -0.5523%]
                        Change within noise threshold.
Found 4 outliers among 100 measurements (4.00%)
  3 (3.00%) high mild
  1 (1.00%) high severe
wheelname_parsing_fastest/flyte-long-compatible
                        time:   [214.80 ns 216.10 ns 217.50 ns]
                        thrpt:  [499.87 MiB/s 503.10 MiB/s 506.15 MiB/s]
                 change:
                        time:   [+0.9003% +1.3207% +1.8268%] (p = 0.00 < 0.05)
                        thrpt:  [-1.7940% -1.3035% -0.8923%]
                        Change within noise threshold.
Found 8 outliers among 100 measurements (8.00%)
  7 (7.00%) high mild
  1 (1.00%) high severe

(Ignore the percent changes; they're not relative to one another.)

So it's like >40% faster for the small case and >15% faster for the large case.

[BurntSushi]

Nice!

[BurntSushi]

Haha. Oh golly Clippy would hate me...