I don't know whether we want to make this change but here's some data...
Binary size:
- `main`: 30,384
- `charlie/match-phf`: 30,416
llvm-lines:
- `main`: 1,784,148
- `charlie/match-phf`: 1,789,877
llvm-lines and binary size are both unchanged (or, by < 5) when moving
from `u8` to `u32` return types, and even when moving to `char` keys and
values. I didn't expect this, but I'm not very knowledgable on this
topic.
Performance:
```
Confusables/match/src time: [4.9102 µs 4.9352 µs 4.9777 µs]
change: [+1.7469% +2.2421% +2.8710%] (p = 0.00 < 0.05)
Performance has regressed.
Found 12 outliers among 100 measurements (12.00%)
2 (2.00%) low mild
4 (4.00%) high mild
6 (6.00%) high severe
Confusables/match-with-skip/src
time: [2.0676 µs 2.0945 µs 2.1317 µs]
change: [+0.9384% +1.6000% +2.3920%] (p = 0.00 < 0.05)
Change within noise threshold.
Found 8 outliers among 100 measurements (8.00%)
3 (3.00%) high mild
5 (5.00%) high severe
Confusables/phf/src time: [31.087 µs 31.188 µs 31.305 µs]
change: [+1.9262% +2.2188% +2.5496%] (p = 0.00 < 0.05)
Performance has regressed.
Found 15 outliers among 100 measurements (15.00%)
3 (3.00%) low mild
6 (6.00%) high mild
6 (6.00%) high severe
Confusables/phf-with-skip/src
time: [2.0470 µs 2.0486 µs 2.0502 µs]
change: [-0.3093% -0.1446% +0.0106%] (p = 0.08 > 0.05)
No change in performance detected.
Found 4 outliers among 100 measurements (4.00%)
2 (2.00%) high mild
2 (2.00%) high severe
```
The `-with-skip` variants add our optimization which first checks
whether the character is ASCII. So `match` is way, way faster than PHF,
but it tends not to matter since almost all source code is ASCII anyway.
## Summary
The `add_rule.py` script would create a test case that pointed to a file
that didn't exist when the linter is set to `"pylint"`. This PR fixes
that.
## Test Plan
`python scripts/add_rule.py --name DoTheThing --prefix PL --code C0999
--linter pylint`
## Summary
These changes make `scripts/ecosystem_all_check.sh --select ALL` work
again, i forgot to update this script to the new directory structure
from #5299 because it's only run manually
## Test Plan
n/a
## Summary
Check for `Any` in other types for `ANN401`. This reuses the logic from
`implicit-optional` rule to resolve the type to `Any`.
Following types are supported:
* `Union[Any, ...]`
* `Any | ...`
* `Optional[Any]`
* `Annotated[<any of the above variant>, ...]`
* Forward references i.e., `"Any | ..."`
## Test Plan
Added test cases for various combinations.
fixes: #5458
## Summary
Add links for ecosystem check result. This is useful for developers to
quickly check the added/removed violations with a single click.
There are a few downsides of this approach:
* Syntax highlighting is not available for the output
* Content length is increased because of the additional anchor tags
## Test Plan
`python scripts/check_ecosystem.py ./target/debug/ruff ../ruff-test/target/debug/ruff`
<details><summary>Example Output:</summary>
ℹ️ ecosystem check **detected changes**. (+6, -0, 0 error(s))
<details><summary>airflow (+1, -0)</summary>
<p>
<pre>
+ <a
href='https://github.com/apache/airflow/blob/main/dev/breeze/src/airflow_breeze/commands/release_management_commands.py#L654'>dev/breeze/src/airflow_breeze/commands/release_management_commands.py:654:25:</a>
PERF401 Use a list comprehension to create a transformed list
</pre>
</p>
</details>
<details><summary>bokeh (+3, -0)</summary>
<p>
<pre>
+ <a
href='https://github.com/bokeh/bokeh/blob/branch-3.2/src/bokeh/model/model.py#L315'>src/bokeh/model/model.py:315:17:</a>
PERF401 Use a list comprehension to create a transformed list
+ <a
href='https://github.com/bokeh/bokeh/blob/branch-3.2/src/bokeh/resources.py#L470'>src/bokeh/resources.py:470:25:</a>
PERF401 Use a list comprehension to create a transformed list
+ <a
href='https://github.com/bokeh/bokeh/blob/branch-3.2/src/bokeh/sphinxext/bokeh_sampledata_xref.py#L134'>src/bokeh/sphinxext/bokeh_sampledata_xref.py:134:17:</a>
PERF401 Use a list comprehension to create a transformed list
</pre>
</p>
</details>
<details><summary>zulip (+2, -0)</summary>
<p>
<pre>
+ <a
href='https://github.com/zulip/zulip/blob/main/zerver/actions/create_user.py#L197'>zerver/actions/create_user.py:197:17:</a>
PERF401 Use a list comprehension to create a transformed list
+ <a
href='https://github.com/zulip/zulip/blob/main/zerver/lib/markdown/__init__.py#L2412'>zerver/lib/markdown/__init__.py:2412:13:</a>
PERF401 Use a list comprehension to create a transformed list
</pre>
</p>
</details>
</details>
---------
Co-authored-by: konsti <konstin@mailbox.org>
## 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
Adds `PERF401` and `PERF402` mirroring `W8401` and `W8402` from
https://github.com/tonybaloney/perflint
Implementation is not super smart but should be at parity with upstream
implementation judging by:
c07391c176/perflint/comprehension_checker.py (L42-L73)
It essentially checks:
- If the body of a for-loop is just one statement
- If that statement is an `if` and the if-statement contains a call to
`append()` we flag `PERF401` and suggest a list comprehension
- If that statement is a plain call to `append()` or `insert()` we flag
`PERF402` and suggest `list()` or `list.copy()`
I've set the violation to only flag the first append call in a long
`if-else` statement for `PERF401`. Happy to change this to some other
location or make it multiple violations if that makes more sense.
## Test Plan
Fixtures were added with the relevant scenarios for both rules
## Issue Links
Refers: https://github.com/astral-sh/ruff/issues/4789
## Summary
Implements PERF203 from #4789, which throws if a `try/except` block is
inside of a loop. Not sure if we want to extend the diagnostic to the
`except` as well, but I thought that that may get a little messy. We may
also want to just throw on the word `try` - open to suggestions though.
## Test Plan
`cargo test`
## Summary
Add documentation to the `D3XX` rules that check for issues with
docstring quotes. Related to #2646.
## Test Plan
`python scripts/check_docs_formatted.py`
## Summary
Fix a variable name in the `add_plugin.py` script.
## Test Plan
I don't think there are any tests for the scripts, other than manual
confirmation
## 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
```
## Summary
Supersedes #5277, includes redesigned dark mode.
## Test Plan
* `python scripts/generate_mkdocs.py`
* `mkdocs serve`
## Summary
Add copyright notice detection to enforce the presence of copyright
headers in Python files.
Configurable settings include: the relevant regular expression, the
author name, and the minimum file size, similar to
[flake8-copyright](https://github.com/savoirfairelinux/flake8-copyright).
Closes https://github.com/charliermarsh/ruff/issues/3579
---------
Signed-off-by: ryan <ryang@waabi.ai>
Co-authored-by: Charlie Marsh <charlie.r.marsh@gmail.com>
* Use phf for confusables to reduce llvm lines
## Summary
This replaces FxHashMap for the confusables with a perfect hash map from the [phf crate](https://github.com/rust-phf/rust-phf) to reduce the generated llvm instructions.
A perfect hash function is one that doesn't have any collisions. We can build one because we know all keys at compile time. This improves hashmap efficiency, even though this is likely not noticeable in our case (except someone has a large non-english crate to test on).
The original hashmap contained a lot of duplicates, which i had to remove when phf_map complained, i did so by sorting the keys.
The important part that it reduces the llvm instructions generated (#3808, `RUSTFLAGS="-Csymbol-mangling-version=v0" cargo llvm-lines -p ruff --lib | head -20`):
```
Lines Copies Function name
----- ------ -------------
1740502 38973 (TOTAL)
27423 (1.6%, 1.6%) 1 (0.0%, 0.0%) ruff[cef4c65d96248843]::rules::ruff::rules::confusables::CONFUSABLES::{closure#0}
10193 (0.6%, 2.2%) 1 (0.0%, 0.0%) <ruff[cef4c65d96248843]::codes::RuleCodePrefix>::iter
8107 (0.5%, 2.6%) 1 (0.0%, 0.0%) <ruff[cef4c65d96248843]::codes::Rule>::noqa_code
7345 (0.4%, 3.0%) 1 (0.0%, 0.0%) <ruff[cef4c65d96248843]::checkers::ast::Checker as ruff_python_ast[3778b140caf21545]::visitor::Visitor>::visit_stmt
6412 (0.4%, 3.4%) 1 (0.0%, 0.0%) <<ruff[cef4c65d96248843]::settings::options::Options as serde[d89b1b632568f5a3]:🇩🇪:Deserialize>::deserialize::__Visitor as serde[d89b1b632568f5a3]:🇩🇪:Visitor>::visit_map::<toml_edit[7e3a6c5e67260672]:🇩🇪:spanned::SpannedDeserializer<toml_edit[7e3a6c5e67260672]:🇩🇪:value::ValueDeserializer>>
6412 (0.4%, 3.8%) 1 (0.0%, 0.0%) <<ruff[cef4c65d96248843]::settings::options::Options as serde[d89b1b632568f5a3]:🇩🇪:Deserialize>::deserialize::__Visitor as serde[d89b1b632568f5a3]:🇩🇪:Visitor>::visit_map::<toml_edit[7e3a6c5e67260672]:🇩🇪:table::TableMapAccess>
6409 (0.4%, 4.2%) 1 (0.0%, 0.0%) <<ruff[cef4c65d96248843]::settings::options::Options as serde[d89b1b632568f5a3]:🇩🇪:Deserialize>::deserialize::__Visitor as serde[d89b1b632568f5a3]:🇩🇪:Visitor>::visit_map::<toml_edit[7e3a6c5e67260672]:🇩🇪:datetime::DatetimeDeserializer>
5696 (0.3%, 4.5%) 1 (0.0%, 0.0%) <ruff[cef4c65d96248843]::checkers::ast::Checker as ruff_python_ast[3778b140caf21545]::visitor::Visitor>::visit_expr
4448 (0.3%, 4.7%) 1 (0.0%, 0.0%) ruff[cef4c65d96248843]::flake8_to_ruff::converter::convert
3702 (0.2%, 4.9%) 1 (0.0%, 0.0%) <&ruff[cef4c65d96248843]::registry::Linter as core[da82827a87f140f9]::iter::traits::collect::IntoIterator>::into_iter
3349 (0.2%, 5.1%) 1 (0.0%, 0.0%) <ruff[cef4c65d96248843]::registry::Linter>::code_for_rule
3132 (0.2%, 5.3%) 1 (0.0%, 0.0%) <ruff[cef4c65d96248843]::codes::Rule as core[da82827a87f140f9]::fmt::Debug>::fmt
3130 (0.2%, 5.5%) 1 (0.0%, 0.0%) <&str as core[da82827a87f140f9]::convert::From<&ruff[cef4c65d96248843]::codes::Rule>>::from
3130 (0.2%, 5.7%) 1 (0.0%, 0.0%) <&str as core[da82827a87f140f9]::convert::From<ruff[cef4c65d96248843]::codes::Rule>>::from
3130 (0.2%, 5.9%) 1 (0.0%, 0.0%) <ruff[cef4c65d96248843]::codes::Rule as core[da82827a87f140f9]::convert::AsRef<str>>::as_ref
3128 (0.2%, 6.0%) 1 (0.0%, 0.0%) <ruff[cef4c65d96248843]::codes::RuleIter>::get
2669 (0.2%, 6.2%) 1 (0.0%, 0.0%) <<ruff[cef4c65d96248843]::settings::options::Options as serde[d89b1b632568f5a3]:🇩🇪:Deserialize>::deserialize::__Visitor as serde[d89b1b632568f5a3]:🇩🇪:Visitor>::visit_seq::<toml_edit[7e3a6c5e67260672]:🇩🇪:array::ArraySeqAccess>
```
After:
```
Lines Copies Function name
----- ------ -------------
1710487 38900 (TOTAL)
10193 (0.6%, 0.6%) 1 (0.0%, 0.0%) <ruff[52408f46d2058296]::codes::RuleCodePrefix>::iter
8107 (0.5%, 1.1%) 1 (0.0%, 0.0%) <ruff[52408f46d2058296]::codes::Rule>::noqa_code
7345 (0.4%, 1.5%) 1 (0.0%, 0.0%) <ruff[52408f46d2058296]::checkers::ast::Checker as ruff_python_ast[5588cd60041c8605]::visitor::Visitor>::visit_stmt
6412 (0.4%, 1.9%) 1 (0.0%, 0.0%) <<ruff[52408f46d2058296]::settings::options::Options as serde[d89b1b632568f5a3]:🇩🇪:Deserialize>::deserialize::__Visitor as serde[d89b1b632568f5a3]:🇩🇪:Visitor>::visit_map::<toml_edit[7e3a6c5e67260672]:🇩🇪:spanned::SpannedDeserializer<toml_edit[7e3a6c5e67260672]:🇩🇪:value::ValueDeserializer>>
6412 (0.4%, 2.2%) 1 (0.0%, 0.0%) <<ruff[52408f46d2058296]::settings::options::Options as serde[d89b1b632568f5a3]:🇩🇪:Deserialize>::deserialize::__Visitor as serde[d89b1b632568f5a3]:🇩🇪:Visitor>::visit_map::<toml_edit[7e3a6c5e67260672]:🇩🇪:table::TableMapAccess>
6409 (0.4%, 2.6%) 1 (0.0%, 0.0%) <<ruff[52408f46d2058296]::settings::options::Options as serde[d89b1b632568f5a3]:🇩🇪:Deserialize>::deserialize::__Visitor as serde[d89b1b632568f5a3]:🇩🇪:Visitor>::visit_map::<toml_edit[7e3a6c5e67260672]:🇩🇪:datetime::DatetimeDeserializer>
5696 (0.3%, 3.0%) 1 (0.0%, 0.0%) <ruff[52408f46d2058296]::checkers::ast::Checker as ruff_python_ast[5588cd60041c8605]::visitor::Visitor>::visit_expr
4448 (0.3%, 3.2%) 1 (0.0%, 0.0%) ruff[52408f46d2058296]::flake8_to_ruff::converter::convert
3702 (0.2%, 3.4%) 1 (0.0%, 0.0%) <&ruff[52408f46d2058296]::registry::Linter as core[da82827a87f140f9]::iter::traits::collect::IntoIterator>::into_iter
3349 (0.2%, 3.6%) 1 (0.0%, 0.0%) <ruff[52408f46d2058296]::registry::Linter>::code_for_rule
3132 (0.2%, 3.8%) 1 (0.0%, 0.0%) <ruff[52408f46d2058296]::codes::Rule as core[da82827a87f140f9]::fmt::Debug>::fmt
3130 (0.2%, 4.0%) 1 (0.0%, 0.0%) <&str as core[da82827a87f140f9]::convert::From<&ruff[52408f46d2058296]::codes::Rule>>::from
3130 (0.2%, 4.2%) 1 (0.0%, 0.0%) <&str as core[da82827a87f140f9]::convert::From<ruff[52408f46d2058296]::codes::Rule>>::from
3130 (0.2%, 4.4%) 1 (0.0%, 0.0%) <ruff[52408f46d2058296]::codes::Rule as core[da82827a87f140f9]::convert::AsRef<str>>::as_ref
3128 (0.2%, 4.5%) 1 (0.0%, 0.0%) <ruff[52408f46d2058296]::codes::RuleIter>::get
2669 (0.2%, 4.7%) 1 (0.0%, 0.0%) <<ruff[52408f46d2058296]::settings::options::Options as serde[d89b1b632568f5a3]:🇩🇪:Deserialize>::deserialize::__Visitor as serde[d89b1b632568f5a3]:🇩🇪:Visitor>::visit_seq::<toml_edit[7e3a6c5e67260672]:🇩🇪:array::ArraySeqAccess>
2659 (0.2%, 4.9%) 1 (0.0%, 0.0%) <&ruff[52408f46d2058296]::codes::Pylint as core[da82827a87f140f9]::iter::traits::collect::IntoIterator>::into_iter
```
I'd assume this has a positive effect both on compile time and on runtime, but i don't know the actual effect on compile times and can't really measure.
## Test plan
Check CI for any performance regressions.
This should fix#3808 if we merge it.
* clippy
* Update update_ambiguous_characters.py
* Document codes.rs
* Refactor codes.rs before merging
Helper script:
```python
# %%
from pathlib import Path
codes = Path("crates/ruff/src/codes.rs").read_text().splitlines()
rules = Path("a.txt").read_text().strip().splitlines()
rule_map = {i.split("::")[-1]: i for i in rules}
# %%
codes_new = []
for line in codes:
if ", Rule::" in line:
left, right = line.split(", Rule::")
right = right[:-2]
line = left + ", " + rule_map[right] + "),"
codes_new.append(line)
# %%
Path("crates/ruff/src/codes.rs").write_text("\n".join(codes_new))
```
Co-authored-by: Jonathan Plasse <13716151+JonathanPlasse@users.noreply.github.com>
* Don't assume unique repo names in ecosystem checks
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.
* Make ecosystem all check more generic
This allows passing arguments to the ecosystem all check script, e.g. you can now do `scripts/ecosystem_all_check.sh check --select RUF008`.
Tested with
```
$ cat target/ecosystem_all_results/*.stdout.txt | head
src/fi_parliament_tools/parsing/data_structures.py:33:17: RUF008 Do not use mutable default values for dataclass attributes
src/fi_parliament_tools/parsing/data_structures.py:76:17: RUF008 Do not use mutable default values for dataclass attributes
src/fi_parliament_tools/parsing/data_structures.py:178:17: RUF008 Do not use mutable default values for dataclass attributes
Found 3 errors.
braid_triggers/tasks.py:46:17: RUF008 Do not use mutable default values for dataclass attributes
Found 1 error.
src/boards/RaspberryPi3.py:15:22: RUF008 Do not use mutable default values for dataclass attributes
src/boards/board.py:21:26: RUF008 Do not use mutable default values for dataclass attributes
src/boards/board.py:22:32: RUF008 Do not use mutable default values for dataclass attributes
src/boards/board.py:23:37: RUF008 Do not use mutable default values for dataclass attributes
$ cat target/ecosystem_all_results/*.stdout.txt | wc -l
115
```
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.
* Add a script to update the schemastore
Hacked this together, it clones astral-sh/schemastore, updated the schema and pushes the changes
to a new branch tagged with the ruff git hash. You can see the URL to create the PR
to schemastore in the CLI. The script is separated into three blocks so you can rerun
the schema generation in the middle before committing.
* Use tempdir for schemastore
* Add comments
* Add script for ecosystem wide checks of all rules and fixes
This adds my personal script for checking an entire checkout of ~2.1k packages for
panics, autofix errors and similar problems. It's not really meant to be used by anybody else but i thought it's better if it lives in the repo than if it doesn't.
For reference, this is the current output of failing autofixes: https://gist.github.com/konstin/c3fada0135af6cacec74f166adf87a00. Trimmed down to the useful information: https://gist.github.com/konstin/c864f4c300c7903a24fdda49635c5da9
* Keep github template intact
* Remove the need for ripgrep
* sort output
* 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
