Replace inline(always) with inline

[MichaReiser]

Summary

Follow up of this comment.

Replaces all inline(always) with inline except for the few places where it attributes an empty method/function.

Performance

No meaningful change.

Gnuplot not found, using plotters backend
formatter/numpy/globals.py
                        time:   [38.375 µs 38.471 µs 38.589 µs]
                        thrpt:  [76.463 MiB/s 76.698 MiB/s 76.891 MiB/s]
                 change:
                        time:   [-1.5720% -1.1271% -0.7137%] (p = 0.00 < 0.05)
                        thrpt:  [+0.7189% +1.1399% +1.5972%]
                        Change within noise threshold.
formatter/pydantic/types.py
                        time:   [805.00 µs 805.70 µs 806.44 µs]
                        thrpt:  [31.624 MiB/s 31.653 MiB/s 31.681 MiB/s]
                 change:
                        time:   [+0.5153% +0.9531% +1.3701%] (p = 0.00 < 0.05)
                        thrpt:  [-1.3515% -0.9441% -0.5126%]
                        Change within noise threshold.
Found 6 outliers among 100 measurements (6.00%)
  4 (4.00%) high mild
  2 (2.00%) high severe
formatter/numpy/ctypeslib.py
                        time:   [384.13 µs 385.59 µs 387.20 µs]
                        thrpt:  [43.004 MiB/s 43.184 MiB/s 43.347 MiB/s]
                 change:
                        time:   [-4.2419% -3.6520% -3.0507%] (p = 0.00 < 0.05)
                        thrpt:  [+3.1466% +3.7904% +4.4298%]
                        Performance has improved.
Found 11 outliers among 100 measurements (11.00%)
  8 (8.00%) high mild
  3 (3.00%) high severe
formatter/large/dataset.py
                        time:   [2.0589 ms 2.0611 ms 2.0633 ms]
                        thrpt:  [19.717 MiB/s 19.739 MiB/s 19.760 MiB/s]
                 change:
                        time:   [+1.9929% +2.4425% +2.8925%] (p = 0.00 < 0.05)
                        thrpt:  [-2.8112% -2.3843% -1.9539%]
                        Performance has regressed.
Found 1 outliers among 100 measurements (1.00%)
  1 (1.00%) high mild

Test Plan

cargo test

[MichaReiser]

Current dependencies on/for this PR:

• main
  • PR Replace inline(always) with inline #6590 👈

This comment was auto-generated by Graphite.

[github-actions]

PR Check Results

Ecosystem

✅ ecosystem check detected no changes.

Benchmark

Linux

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.00      4.4±0.18ms     9.2 MB/sec    1.01      4.5±0.22ms     9.1 MB/sec
formatter/numpy/ctypeslib.py               1.00   877.6±29.29µs    19.0 MB/sec    1.01   884.1±34.91µs    18.8 MB/sec
formatter/numpy/globals.py                 1.00     88.6±6.14µs    33.3 MB/sec    1.00     89.0±4.79µs    33.1 MB/sec
formatter/pydantic/types.py                1.00  1779.3±77.24µs    14.3 MB/sec    1.00  1779.9±63.00µs    14.3 MB/sec
linter/all-rules/large/dataset.py          1.00     12.8±0.41ms     3.2 MB/sec    1.03     13.1±0.34ms     3.1 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      3.4±0.11ms     4.9 MB/sec    1.01      3.5±0.12ms     4.8 MB/sec
linter/all-rules/numpy/globals.py          1.01   506.5±28.80µs     5.8 MB/sec    1.00   503.7±23.87µs     5.9 MB/sec
linter/all-rules/pydantic/types.py         1.00      6.7±0.26ms     3.8 MB/sec    1.00      6.7±0.20ms     3.8 MB/sec
linter/default-rules/large/dataset.py      1.00      6.7±0.20ms     6.1 MB/sec    1.03      6.9±0.19ms     5.9 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00  1478.7±57.28µs    11.3 MB/sec    1.01  1494.0±53.20µs    11.1 MB/sec
linter/default-rules/numpy/globals.py      1.00    186.7±8.08µs    15.8 MB/sec    1.00   186.3±11.15µs    15.8 MB/sec
linter/default-rules/pydantic/types.py     1.00      3.0±0.09ms     8.4 MB/sec    1.02      3.1±0.13ms     8.2 MB/sec

Windows

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.00      3.0±0.03ms    13.5 MB/sec    1.01      3.0±0.03ms    13.4 MB/sec
formatter/numpy/ctypeslib.py               1.00   569.4±11.37µs    29.2 MB/sec    1.00    571.7±7.81µs    29.1 MB/sec
formatter/numpy/globals.py                 1.00     58.3±2.93µs    50.6 MB/sec    1.01     58.9±0.79µs    50.1 MB/sec
formatter/pydantic/types.py                1.00  1179.3±28.62µs    21.6 MB/sec    1.01  1195.9±24.27µs    21.3 MB/sec
linter/all-rules/large/dataset.py          1.00      9.3±0.05ms     4.4 MB/sec    1.01      9.3±0.05ms     4.4 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      2.6±0.02ms     6.4 MB/sec    1.00      2.6±0.02ms     6.4 MB/sec
linter/all-rules/numpy/globals.py          1.00    270.7±3.65µs    10.9 MB/sec    1.01    272.6±4.08µs    10.8 MB/sec
linter/all-rules/pydantic/types.py         1.00      4.9±0.04ms     5.3 MB/sec    1.00      4.9±0.04ms     5.2 MB/sec
linter/default-rules/large/dataset.py      1.00      5.1±0.03ms     8.0 MB/sec    1.00      5.1±0.04ms     8.0 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00   1057.8±7.18µs    15.7 MB/sec    1.01   1066.3±8.93µs    15.6 MB/sec
linter/default-rules/numpy/globals.py      1.00    108.9±1.56µs    27.1 MB/sec    1.01    110.0±1.56µs    26.8 MB/sec
linter/default-rules/pydantic/types.py     1.00      2.3±0.02ms    11.1 MB/sec    1.00      2.3±0.02ms    11.1 MB/sec