## Summary
We'll revert back to the crates.io release once it's up-to-date, but
better to get this out now that Python 3.12 is released.
## Test Plan
`cargo test`
## Summary
This PR implements a variety of optimizations to improve performance of
the Eradicate rule, which always shows up in all-rules benchmarks and
bothers me. (These improvements are not hugely important, but it was
kind of a fun Friday thing to spent a bit of time on.)
The improvements include:
- Doing cheaper work first (checking for some explicit substrings
upfront).
- Using `aho-corasick` to speed an exact substring search.
- Merging multiple regular expressions using a `RegexSet`.
- Removing some unnecessary `\s*` and other pieces from the regular
expressions (since we already trim strings before matching on them).
## Test Plan
I benchmarked this function in a standalone crate using a variety of
cases. Criterion reports that this version is up to 80% faster, and
almost every case is at least 50% faster:
```
Eradicate/Detection/# Warn if we are installing over top of an existing installation. This can
time: [101.84 ns 102.32 ns 102.82 ns]
change: [-77.166% -77.062% -76.943%] (p = 0.00 < 0.05)
Performance has improved.
Found 3 outliers among 100 measurements (3.00%)
3 (3.00%) high mild
Eradicate/Detection/#from foo import eradicate
time: [74.872 ns 75.096 ns 75.314 ns]
change: [-84.180% -84.131% -84.079%] (p = 0.00 < 0.05)
Performance has improved.
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) high mild
Eradicate/Detection/# encoding: utf8
time: [46.522 ns 46.862 ns 47.237 ns]
change: [-29.408% -28.918% -28.471%] (p = 0.00 < 0.05)
Performance has improved.
Found 7 outliers among 100 measurements (7.00%)
6 (6.00%) high mild
1 (1.00%) high severe
Eradicate/Detection/# Issue #999
time: [16.942 ns 16.994 ns 17.058 ns]
change: [-57.243% -57.064% -56.815%] (p = 0.00 < 0.05)
Performance has improved.
Found 3 outliers among 100 measurements (3.00%)
2 (2.00%) high mild
1 (1.00%) high severe
Eradicate/Detection/# type: ignore
time: [43.074 ns 43.163 ns 43.262 ns]
change: [-17.614% -17.390% -17.152%] (p = 0.00 < 0.05)
Performance has improved.
Found 5 outliers among 100 measurements (5.00%)
3 (3.00%) high mild
2 (2.00%) high severe
Eradicate/Detection/# user_content_type, _ = TimelineEvent.objects.using(db_alias).get_or_create(
time: [209.40 ns 209.81 ns 210.23 ns]
change: [-32.806% -32.630% -32.470%] (p = 0.00 < 0.05)
Performance has improved.
Eradicate/Detection/# this is = to that :(
time: [72.659 ns 73.068 ns 73.473 ns]
change: [-68.884% -68.775% -68.655%] (p = 0.00 < 0.05)
Performance has improved.
Found 9 outliers among 100 measurements (9.00%)
7 (7.00%) high mild
2 (2.00%) high severe
Eradicate/Detection/#except Exception:
time: [92.063 ns 92.366 ns 92.691 ns]
change: [-64.204% -64.052% -63.909%] (p = 0.00 < 0.05)
Performance has improved.
Found 4 outliers among 100 measurements (4.00%)
2 (2.00%) high mild
2 (2.00%) high severe
Eradicate/Detection/#print(1)
time: [68.359 ns 68.537 ns 68.725 ns]
change: [-72.424% -72.356% -72.278%] (p = 0.00 < 0.05)
Performance has improved.
Found 2 outliers among 100 measurements (2.00%)
1 (1.00%) low mild
1 (1.00%) high mild
Eradicate/Detection/#'key': 1 + 1,
time: [79.604 ns 79.865 ns 80.135 ns]
change: [-69.787% -69.667% -69.549%] (p = 0.00 < 0.05)
Performance has improved.
```
## Summary
This is a follow-up to #7469 that attempts to achieve similar gains, but
without introducing malachite. Instead, this PR removes the `BigInt`
type altogether, instead opting for a simple enum that allows us to
store small integers directly and only allocate for values greater than
`i64`:
```rust
/// A Python integer literal. Represents both small (fits in an `i64`) and large integers.
#[derive(Clone, PartialEq, Eq, Hash)]
pub struct Int(Number);
#[derive(Debug, Clone, PartialEq, Eq, Hash)]
pub enum Number {
/// A "small" number that can be represented as an `i64`.
Small(i64),
/// A "large" number that cannot be represented as an `i64`.
Big(Box<str>),
}
impl std::fmt::Display for Number {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
Number::Small(value) => write!(f, "{value}"),
Number::Big(value) => write!(f, "{value}"),
}
}
}
```
We typically don't care about numbers greater than `isize` -- our only
uses are comparisons against small constants (like `1`, `2`, `3`, etc.),
so there's no real loss of information, except in one or two rules where
we're now a little more conservative (with the worst-case being that we
don't flag, e.g., an `itertools.pairwise` that uses an extremely large
value for the slice start constant). For simplicity, a few diagnostics
now show a dedicated message when they see integers that are out of the
supported range (e.g., `outdated-version-block`).
An additional benefit here is that we get to remove a few dependencies,
especially `num-bigint`.
## Test Plan
`cargo test`
## Summary
## Stack Summary
This stack splits `Settings` into `FormatterSettings` and `LinterSettings` and moves it into `ruff_workspace`. This change is necessary to add the `FormatterSettings` to `Settings` without adding `ruff_python_formatter` as a dependency to `ruff_linter` (and the linter should not contain the formatter settings).
A quick overview of our settings struct at play:
* `Options`: 1:1 representation of the options in the `pyproject.toml` or `ruff.toml`. Used for deserialization.
* `Configuration`: Resolved `Options`, potentially merged from multiple configurations (when using `extend`). The representation is very close if not identical to the `Options`.
* `Settings`: The resolved configuration that uses a data format optimized for reading. Optional fields are initialized with their default values. Initialized by `Configuration::into_settings` .
The goal of this stack is to split `Settings` into tool-specific resolved `Settings` that are independent of each other. This comes at the advantage that the individual crates don't need to know anything about the other tools. The downside is that information gets duplicated between `Settings`. Right now the duplication is minimal (`line-length`, `tab-width`) but we may need to come up with a solution if more expensive data needs sharing.
This stack focuses on `Settings`. Splitting `Configuration` into some smaller structs is something I'll follow up on later.
## PR Summary
This PR moves the `ResolverSettings` and `Settings` struct to `ruff_workspace`. `LinterSettings` remains in `ruff_linter` because it gets passed to lint rules, the `Checker` etc.
## Test Plan
`cargo test`
## Summary
The tokenizer was split into a forward and a backwards tokenizer. The
backwards tokenizer uses the same names as the forwards ones (e.g.
`next_token`). The backwards tokenizer gets the comment ranges that we
already built to skip comments.
---------
Co-authored-by: Micha Reiser <micha@reiser.io>
Bumps [shlex](https://github.com/comex/rust-shlex) from 1.1.0 to 1.2.0.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/comex/rust-shlex/blob/master/CHANGELOG.md">shlex's
changelog</a>.</em></p>
<blockquote>
<h1>1.2.0</h1>
<ul>
<li>Adds <code>bytes</code> module to support operating directly on byte
strings.</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li>See full diff in <a
href="https://github.com/comex/rust-shlex/commits">compare view</a></li>
</ul>
</details>
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Co-authored-by: Micha Reiser <micha@reiser.io>
## Summary
This PR upgrades `strum` from 0.24.x to 0.25.x.
The breaking changes are:
* strum macros now uses syn2
* The `to_string` behavior changed when using `default`. I did a quick search, we aren't using `strum(default)`
`strum` now has a `#[derive(EnumIs)]` macro that generates `is_` methods.
## Test Plan
cargo test
