Use a match statement for builtin detection

[charliermarsh]

Summary

We've seen speed-ups in the past by converting from slice iteration to match statements; this just does the same for built-in checks.

[github-actions]

PR Check Results

Ecosystem

ℹ️ ecosystem check detected changes. (+1, -1, 0 error(s))

bokeh (+1, -1)

- src/bokeh/models/callbacks.py:25:1: A001 Variable `any` is shadowing a Python builtin
+ src/bokeh/models/callbacks.py:25:42: A001 Variable `any` is shadowing a Python builtin

Rules changed: 1

Rule	Changes	Additions	Removals
A001	2	1	1

Benchmark

Linux

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.00     11.1±0.06ms     3.7 MB/sec    1.02     11.3±0.06ms     3.6 MB/sec
formatter/numpy/ctypeslib.py               1.00      2.2±0.01ms     7.5 MB/sec    1.01      2.2±0.02ms     7.4 MB/sec
formatter/numpy/globals.py                 1.00    250.6±0.59µs    11.8 MB/sec    1.00    250.8±4.89µs    11.8 MB/sec
formatter/pydantic/types.py                1.00      4.8±0.01ms     5.3 MB/sec    1.00      4.8±0.01ms     5.3 MB/sec
linter/all-rules/large/dataset.py          1.01     16.2±0.15ms     2.5 MB/sec    1.00     16.0±0.11ms     2.5 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.01      4.1±0.03ms     4.1 MB/sec    1.00      4.1±0.02ms     4.1 MB/sec
linter/all-rules/numpy/globals.py          1.00    540.0±2.73µs     5.5 MB/sec    1.00    538.5±0.99µs     5.5 MB/sec
linter/all-rules/pydantic/types.py         1.01      7.3±0.11ms     3.5 MB/sec    1.00      7.2±0.05ms     3.5 MB/sec
linter/default-rules/large/dataset.py      1.02      8.2±0.04ms     5.0 MB/sec    1.00      8.1±0.03ms     5.0 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.01   1795.6±3.57µs     9.3 MB/sec    1.00   1774.4±4.59µs     9.4 MB/sec
linter/default-rules/numpy/globals.py      1.01    205.8±0.40µs    14.3 MB/sec    1.00    203.4±2.70µs    14.5 MB/sec
linter/default-rules/pydantic/types.py     1.01      3.7±0.02ms     6.9 MB/sec    1.00      3.6±0.01ms     7.0 MB/sec

Windows

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.00     11.3±0.36ms     3.6 MB/sec    1.01     11.4±0.35ms     3.6 MB/sec
formatter/numpy/ctypeslib.py               1.00      2.2±0.12ms     7.6 MB/sec    1.01      2.2±0.06ms     7.6 MB/sec
formatter/numpy/globals.py                 1.00    245.1±7.82µs    12.0 MB/sec    1.02   249.7±10.35µs    11.8 MB/sec
formatter/pydantic/types.py                1.00      4.8±0.11ms     5.3 MB/sec    1.01      4.8±0.15ms     5.3 MB/sec
linter/all-rules/large/dataset.py          1.01     16.1±0.29ms     2.5 MB/sec    1.00     16.0±0.32ms     2.5 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      4.2±0.08ms     4.0 MB/sec    1.07      4.5±0.63ms     3.7 MB/sec
linter/all-rules/numpy/globals.py          1.00   507.8±10.18µs     5.8 MB/sec    1.01   513.6±26.43µs     5.7 MB/sec
linter/all-rules/pydantic/types.py         1.00      7.3±0.19ms     3.5 MB/sec    1.02      7.5±0.75ms     3.4 MB/sec
linter/default-rules/large/dataset.py      1.00      8.3±0.13ms     4.9 MB/sec    1.00      8.3±0.14ms     4.9 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00  1753.5±41.72µs     9.5 MB/sec    1.01  1771.7±63.67µs     9.4 MB/sec
linter/default-rules/numpy/globals.py      1.00    204.4±7.71µs    14.4 MB/sec    1.01    206.4±9.56µs    14.3 MB/sec
linter/default-rules/pydantic/types.py     1.00      3.7±0.12ms     6.9 MB/sec    1.01      3.8±0.13ms     6.8 MB/sec