Make isort's detect-same-package behavior configurable

[charliermarsh]

Summary

Our first-party import detection uses a heuristic that doesn't exist in isort: if an import appears to be from within the same package as the containing file, we mark it as first-party. For example, if you have a directory ./foo/__init__.py, and you import from foo import bar in ./foo/baz.py, we'll mark that as first-party. (See: #1266.)

This is often unnecessary, and arguably should be removed (though it does have some important use-cases that are otherwise unserved -- I believe Dagster uses it to ensure that all packages mark imports from within the same package as first-party, but not imports across different first-party packages)... but it does exist, and it does help in cases in which the src field is not properly configured.

This PR adds an option to turn off this behavior:

[tool.ruff.isort]
detect-same-package = false

This is being introduced to help codebases migrating over from isort that may want more consistent behavior with their current sorting.

Test Plan

cargo test

[github-actions]

PR Check Results

Ecosystem

✅ ecosystem check detected no changes.

Benchmark

Linux

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.03      3.6±0.05ms    11.2 MB/sec    1.00      3.5±0.02ms    11.5 MB/sec
formatter/numpy/ctypeslib.py               1.03    726.9±9.95µs    22.9 MB/sec    1.00    706.8±8.50µs    23.6 MB/sec
formatter/numpy/globals.py                 1.03     76.3±0.39µs    38.7 MB/sec    1.00     74.3±0.34µs    39.7 MB/sec
formatter/pydantic/types.py                1.03  1467.4±16.81µs    17.4 MB/sec    1.00   1425.6±9.77µs    17.9 MB/sec
linter/all-rules/large/dataset.py          1.00     10.5±0.03ms     3.9 MB/sec    1.00     10.4±0.04ms     3.9 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      2.9±0.00ms     5.8 MB/sec    1.00      2.9±0.03ms     5.8 MB/sec
linter/all-rules/numpy/globals.py          1.01    318.3±0.90µs     9.3 MB/sec    1.00    315.9±1.91µs     9.3 MB/sec
linter/all-rules/pydantic/types.py         1.00      5.4±0.02ms     4.7 MB/sec    1.00      5.4±0.02ms     4.7 MB/sec
linter/default-rules/large/dataset.py      1.01      5.6±0.01ms     7.3 MB/sec    1.00      5.5±0.02ms     7.4 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.01   1190.4±3.42µs    14.0 MB/sec    1.00   1181.8±3.56µs    14.1 MB/sec
linter/default-rules/numpy/globals.py      1.03    125.2±0.24µs    23.6 MB/sec    1.00    122.0±1.35µs    24.2 MB/sec
linter/default-rules/pydantic/types.py     1.01      2.5±0.02ms    10.1 MB/sec    1.00      2.5±0.01ms    10.2 MB/sec

Windows

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.00      4.6±0.20ms     8.8 MB/sec    1.12      5.2±0.18ms     7.8 MB/sec
formatter/numpy/ctypeslib.py               1.00   936.4±22.68µs    17.8 MB/sec    1.08  1015.2±36.08µs    16.4 MB/sec
formatter/numpy/globals.py                 1.00     95.1±3.45µs    31.0 MB/sec    1.07    101.8±3.61µs    29.0 MB/sec
formatter/pydantic/types.py                1.00  1892.9±49.00µs    13.5 MB/sec    1.08      2.0±0.05ms    12.5 MB/sec
linter/all-rules/large/dataset.py          1.00     14.9±0.70ms     2.7 MB/sec    1.04     15.6±0.22ms     2.6 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      3.9±0.15ms     4.2 MB/sec    1.11      4.3±0.15ms     3.8 MB/sec
linter/all-rules/numpy/globals.py          1.00   487.1±17.83µs     6.1 MB/sec    1.11   540.2±18.09µs     5.5 MB/sec
linter/all-rules/pydantic/types.py         1.00      7.2±0.23ms     3.5 MB/sec    1.15      8.3±0.18ms     3.1 MB/sec
linter/default-rules/large/dataset.py      1.00      8.2±0.19ms     4.9 MB/sec    1.06      8.7±0.19ms     4.7 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00  1699.7±64.56µs     9.8 MB/sec    1.11  1892.3±51.84µs     8.8 MB/sec
linter/default-rules/numpy/globals.py      1.00    196.1±7.67µs    15.0 MB/sec    1.12    219.0±7.20µs    13.5 MB/sec
linter/default-rules/pydantic/types.py     1.00      3.6±0.13ms     7.1 MB/sec    1.11      4.0±0.07ms     6.4 MB/sec