## Summary
I'll write up a more detailed description tomorrow, but in short, this
PR removes our regex-based implementation in favor of "manual" parsing.
I tried a couple different implementations. In the benchmarks below:
- `Directive/Regex` is our implementation on `main`.
- `Directive/Find` just uses `text.find("noqa")`, which is insufficient,
since it doesn't cover case-insensitive variants like `NOQA`, and
doesn't handle multiple `noqa` matches in a single like, like ` # Here's
a noqa comment # noqa: F401`. But it's kind of a baseline.
- `Directive/Memchr` uses three `memchr` iterative finders (one for
`noqa`, `NOQA`, and `NoQA`).
- `Directive/AhoCorasick` is roughly the variant checked-in here.
The raw results:
```
Directive/Regex/# noqa: F401
time: [273.69 ns 274.71 ns 276.03 ns]
change: [+1.4467% +1.8979% +2.4243%] (p = 0.00 < 0.05)
Performance has regressed.
Found 15 outliers among 100 measurements (15.00%)
3 (3.00%) low mild
8 (8.00%) high mild
4 (4.00%) high severe
Directive/Find/# noqa: F401
time: [66.972 ns 67.048 ns 67.132 ns]
change: [+2.8292% +2.9377% +3.0540%] (p = 0.00 < 0.05)
Performance has regressed.
Found 15 outliers among 100 measurements (15.00%)
1 (1.00%) low severe
3 (3.00%) low mild
8 (8.00%) high mild
3 (3.00%) high severe
Directive/AhoCorasick/# noqa: F401
time: [76.922 ns 77.189 ns 77.536 ns]
change: [+0.4265% +0.6862% +0.9871%] (p = 0.00 < 0.05)
Change within noise threshold.
Found 8 outliers among 100 measurements (8.00%)
1 (1.00%) low mild
3 (3.00%) high mild
4 (4.00%) high severe
Directive/Memchr/# noqa: F401
time: [62.627 ns 62.654 ns 62.679 ns]
change: [-0.1780% -0.0887% -0.0120%] (p = 0.03 < 0.05)
Change within noise threshold.
Found 11 outliers among 100 measurements (11.00%)
1 (1.00%) low severe
5 (5.00%) low mild
3 (3.00%) high mild
2 (2.00%) high severe
Directive/Regex/# noqa: F401, F841
time: [321.83 ns 322.39 ns 322.93 ns]
change: [+8602.4% +8623.5% +8644.5%] (p = 0.00 < 0.05)
Performance has regressed.
Found 5 outliers among 100 measurements (5.00%)
1 (1.00%) low severe
2 (2.00%) low mild
1 (1.00%) high mild
1 (1.00%) high severe
Directive/Find/# noqa: F401, F841
time: [78.618 ns 78.758 ns 78.896 ns]
change: [+1.6909% +1.8771% +2.0628%] (p = 0.00 < 0.05)
Performance has regressed.
Found 3 outliers among 100 measurements (3.00%)
3 (3.00%) high mild
Directive/AhoCorasick/# noqa: F401, F841
time: [87.739 ns 88.057 ns 88.468 ns]
change: [+0.1843% +0.4685% +0.7854%] (p = 0.00 < 0.05)
Change within noise threshold.
Found 11 outliers among 100 measurements (11.00%)
5 (5.00%) low mild
3 (3.00%) high mild
3 (3.00%) high severe
Directive/Memchr/# noqa: F401, F841
time: [80.674 ns 80.774 ns 80.860 ns]
change: [-0.7343% -0.5633% -0.4031%] (p = 0.00 < 0.05)
Change within noise threshold.
Found 14 outliers among 100 measurements (14.00%)
4 (4.00%) low severe
9 (9.00%) low mild
1 (1.00%) high mild
Directive/Regex/# noqa time: [194.86 ns 195.93 ns 196.97 ns]
change: [+11973% +12039% +12103%] (p = 0.00 < 0.05)
Performance has regressed.
Found 6 outliers among 100 measurements (6.00%)
5 (5.00%) low mild
1 (1.00%) high mild
Directive/Find/# noqa time: [25.327 ns 25.354 ns 25.383 ns]
change: [+3.8524% +4.0267% +4.1845%] (p = 0.00 < 0.05)
Performance has regressed.
Found 9 outliers among 100 measurements (9.00%)
6 (6.00%) high mild
3 (3.00%) high severe
Directive/AhoCorasick/# noqa
time: [34.267 ns 34.368 ns 34.481 ns]
change: [+0.5646% +0.8505% +1.1281%] (p = 0.00 < 0.05)
Change within noise threshold.
Found 5 outliers among 100 measurements (5.00%)
5 (5.00%) high mild
Directive/Memchr/# noqa time: [21.770 ns 21.818 ns 21.874 ns]
change: [-0.0990% +0.1464% +0.4046%] (p = 0.26 > 0.05)
No change in performance detected.
Found 10 outliers among 100 measurements (10.00%)
4 (4.00%) low mild
4 (4.00%) high mild
2 (2.00%) high severe
Directive/Regex/# type: ignore # noqa: E501
time: [278.76 ns 279.69 ns 280.72 ns]
change: [+7449.4% +7469.8% +7490.5%] (p = 0.00 < 0.05)
Performance has regressed.
Found 3 outliers among 100 measurements (3.00%)
1 (1.00%) low mild
1 (1.00%) high mild
1 (1.00%) high severe
Directive/Find/# type: ignore # noqa: E501
time: [67.791 ns 67.976 ns 68.184 ns]
change: [+2.8321% +3.1735% +3.5418%] (p = 0.00 < 0.05)
Performance has regressed.
Found 6 outliers among 100 measurements (6.00%)
5 (5.00%) high mild
1 (1.00%) high severe
Directive/AhoCorasick/# type: ignore # noqa: E501
time: [75.908 ns 76.055 ns 76.210 ns]
change: [+0.9269% +1.1427% +1.3955%] (p = 0.00 < 0.05)
Change within noise threshold.
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) high severe
Directive/Memchr/# type: ignore # noqa: E501
time: [72.549 ns 72.723 ns 72.957 ns]
change: [+1.5881% +1.9660% +2.3974%] (p = 0.00 < 0.05)
Performance has regressed.
Found 15 outliers among 100 measurements (15.00%)
10 (10.00%) high mild
5 (5.00%) high severe
Directive/Regex/# type: ignore # nosec
time: [66.967 ns 67.075 ns 67.207 ns]
change: [+1713.0% +1715.8% +1718.9%] (p = 0.00 < 0.05)
Performance has regressed.
Found 10 outliers among 100 measurements (10.00%)
1 (1.00%) low severe
3 (3.00%) low mild
2 (2.00%) high mild
4 (4.00%) high severe
Directive/Find/# type: ignore # nosec
time: [18.505 ns 18.548 ns 18.597 ns]
change: [+1.3520% +1.6976% +2.0333%] (p = 0.00 < 0.05)
Performance has regressed.
Found 4 outliers among 100 measurements (4.00%)
4 (4.00%) high mild
Directive/AhoCorasick/# type: ignore # nosec
time: [16.162 ns 16.206 ns 16.252 ns]
change: [+1.2919% +1.5587% +1.8430%] (p = 0.00 < 0.05)
Performance has regressed.
Found 4 outliers among 100 measurements (4.00%)
3 (3.00%) high mild
1 (1.00%) high severe
Directive/Memchr/# type: ignore # nosec
time: [39.192 ns 39.233 ns 39.276 ns]
change: [+0.5164% +0.7456% +0.9790%] (p = 0.00 < 0.05)
Change within noise threshold.
Found 13 outliers among 100 measurements (13.00%)
2 (2.00%) low severe
4 (4.00%) low mild
3 (3.00%) high mild
4 (4.00%) high severe
Directive/Regex/# some very long comment that # is interspersed with characters but # no directive
time: [81.460 ns 81.578 ns 81.703 ns]
change: [+2093.3% +2098.8% +2104.2%] (p = 0.00 < 0.05)
Performance has regressed.
Found 4 outliers among 100 measurements (4.00%)
2 (2.00%) low mild
2 (2.00%) high mild
Directive/Find/# some very long comment that # is interspersed with characters but # no directive
time: [26.284 ns 26.331 ns 26.387 ns]
change: [+0.7554% +1.1027% +1.3832%] (p = 0.00 < 0.05)
Change within noise threshold.
Found 6 outliers among 100 measurements (6.00%)
5 (5.00%) high mild
1 (1.00%) high severe
Directive/AhoCorasick/# some very long comment that # is interspersed with characters but # no direc...
time: [28.643 ns 28.714 ns 28.787 ns]
change: [+1.3774% +1.6780% +2.0028%] (p = 0.00 < 0.05)
Performance has regressed.
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) high mild
Directive/Memchr/# some very long comment that # is interspersed with characters but # no directive
time: [55.766 ns 55.831 ns 55.897 ns]
change: [+1.5802% +1.7476% +1.9021%] (p = 0.00 < 0.05)
Performance has regressed.
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) low mild
```
While memchr is faster than aho-corasick in some of the common cases
(like `# noqa: F401`), the latter is way, way faster when there _isn't_
a match (like 2x faster -- see the last two cases). Since most comments
_aren't_ `noqa` comments, this felt like the right tradeoff. Note that
all implementations are significantly faster than the regex version.
(I know I originally reported a 10x speedup, but I ended up improving
the regex version a bit in some prior PRs, so it got unintentionally
faster via some refactors.)
There's also one behavior change in here, which is that we now allow
variable spaces, e.g., `#noqa` or `# noqa`. Previously, we required
exactly one space. This thus closes#5177.
## Summary
This contains three changes:
* repos in `check_ecosystem.py` are stored as `org:name` instead of
`org/name` to create a flat directory layout
* `check_ecosystem.py` performs a maximum of 50 parallel jobs at the
same time to avoid consuming to much RAM
* `check-formatter-stability` gets a new option `--multi-project` so
it's possible to do `cargo run --bin ruff_dev --
check-formatter-stability --multi-project target/checkouts`
With these three changes it becomes easy to check the formatter
stability over a larger number of repositories. This is part of the
integration of integrating formatter regressions checks into the
ecosystem checks.
## Test Plan
```shell
python scripts/check_ecosystem.py --checkouts target/checkouts --projects github_search.jsonl -v $(which true) $(which true)
cargo run --bin ruff_dev -- check-formatter-stability --multi-project target/checkouts
```
This fixes a bug where previously repositories with the same name would have been overwritten.
I tested with `scripts/check_ecosystem.py -v --checkouts target/checkouts_main .venv/bin/ruff target/release/ruff` and ruff 0.0.267 that changes are shown. I confirmed with `scripts/ecosystem_all_check.sh check --select RUF008` (next PR) that the checkouts are now complete.
* Ecosystem CI: Allow storing checkouts locally
This adds a --checkouts options to (re)use a local directory instead of checkouts into a tempdir
* Fix missing path conversion
* Count changes for each rule
* Handle case where rule matches were found in a line
* List and sort by changes
* Remove detail from rule changes
* Add comment about leading :
* Only print rule changes if rule changes are present
* Use re.search and match group
* Remove dict().items()
* Use match group to extract rule code
This PR sets up an "ecosystem" check as an optional part of the CI step for pull requests. The primary piece of this is a new script in `scripts/check_ecosystem.py` which takes two ruff binaries as input and compares their outputs against a corpus of open-source code in parallel. I used ruff's `text` reporting format and stdlib's `difflib` (rather than JSON output and jsondiffs) to avoid adding another dependency. There is a new ecosystem-comment workflow to add a comment to the PR (see [this link](https://securitylab.github.com/research/github-actions-preventing-pwn-requests/) which explains why it needs to be done as a new workflow for security reasons).
