Use a unified policy abstraction for the flake8-tidy-imports rules

[charliermarsh]

Summary

Generalizes the abstractions for name matching introduced in #6378 and applies them to the existing banned_api rule, such that both rules have a uniform API and implementation.

Test Plan

cargo test

[github-actions]

PR Check Results

Ecosystem

✅ ecosystem check detected no changes.

Benchmark

Linux

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.00     10.7±0.31ms     3.8 MB/sec    1.02     10.9±0.31ms     3.7 MB/sec
formatter/numpy/ctypeslib.py               1.00      2.1±0.07ms     8.0 MB/sec    1.02      2.1±0.12ms     7.8 MB/sec
formatter/numpy/globals.py                 1.02   243.9±12.20µs    12.1 MB/sec    1.00   238.4±13.97µs    12.4 MB/sec
formatter/pydantic/types.py                1.03      4.6±0.19ms     5.6 MB/sec    1.00      4.4±0.17ms     5.7 MB/sec
linter/all-rules/large/dataset.py          1.01     14.7±0.44ms     2.8 MB/sec    1.00     14.6±0.43ms     2.8 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      3.7±0.09ms     4.5 MB/sec    1.01      3.7±0.09ms     4.5 MB/sec
linter/all-rules/numpy/globals.py          1.02   547.2±47.81µs     5.4 MB/sec    1.00   536.1±18.77µs     5.5 MB/sec
linter/all-rules/pydantic/types.py         1.00      7.4±0.29ms     3.4 MB/sec    1.00      7.4±0.23ms     3.4 MB/sec
linter/default-rules/large/dataset.py      1.00      7.4±0.23ms     5.5 MB/sec    1.00      7.4±0.24ms     5.5 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00  1624.2±91.64µs    10.3 MB/sec    1.00  1630.1±75.38µs    10.2 MB/sec
linter/default-rules/numpy/globals.py      1.01    199.7±9.62µs    14.8 MB/sec    1.00    197.0±9.10µs    15.0 MB/sec
linter/default-rules/pydantic/types.py     1.01      3.3±0.10ms     7.7 MB/sec    1.00      3.3±0.10ms     7.7 MB/sec

Windows

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.00      9.9±0.03ms     4.1 MB/sec    1.00      9.9±0.05ms     4.1 MB/sec
formatter/numpy/ctypeslib.py               1.00  1890.8±11.90µs     8.8 MB/sec    1.00   1897.3±7.84µs     8.8 MB/sec
formatter/numpy/globals.py                 1.00    195.1±3.92µs    15.1 MB/sec    1.01    196.7±5.24µs    15.0 MB/sec
formatter/pydantic/types.py                1.00      4.2±0.02ms     6.1 MB/sec    1.00      4.2±0.03ms     6.1 MB/sec
linter/all-rules/large/dataset.py          1.01     12.6±0.04ms     3.2 MB/sec    1.00     12.5±0.03ms     3.3 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      3.5±0.01ms     4.7 MB/sec    1.00      3.5±0.01ms     4.7 MB/sec
linter/all-rules/numpy/globals.py          1.01    372.7±5.04µs     7.9 MB/sec    1.00    370.0±5.23µs     8.0 MB/sec
linter/all-rules/pydantic/types.py         1.01      6.5±0.02ms     3.9 MB/sec    1.00      6.5±0.02ms     3.9 MB/sec
linter/default-rules/large/dataset.py      1.00      6.8±0.04ms     6.0 MB/sec    1.00      6.8±0.02ms     6.0 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.01   1435.0±7.03µs    11.6 MB/sec    1.00   1426.0±6.14µs    11.7 MB/sec
linter/default-rules/numpy/globals.py      1.01    149.8±0.82µs    19.7 MB/sec    1.00    148.5±1.29µs    19.9 MB/sec
linter/default-rules/pydantic/types.py     1.00      3.1±0.01ms     8.3 MB/sec    1.00      3.1±0.02ms     8.3 MB/sec