## Summary
This PR separates the current `red_knot` crate into two crates:
1. `red_knot` - This will be similar to the `ruff` crate, it'll act as
the CLI crate
2. `red_knot_workspace` - This includes everything except for the CLI
functionality from the existing `red_knot` crate
Note that the code related to the file watcher is in
`red_knot_workspace` for now but might be required to extract it out in
the future.
The main motivation for this change is so that we can have a `red_knot
server` command. This makes it easier to test the server out without
making any changes in the VS Code extension. All we need is to specify
the `red_knot` executable path in `ruff.path` extension setting.
## Test Plan
- `cargo build`
- `cargo clippy --workspace --all-targets --all-features`
- `cargo shear --fix`
## Summary
There's still a problem here. Given:
```python
class Class():
pass
# comment
# another comment
a = 1
```
We only add one newline before `a = 1` on the first pass, because
`max_precedling_blank_lines` is 1... We then add the second newline on
the second pass, so it ends up in the right state, but the logic is
clearly wonky.
Closes https://github.com/astral-sh/ruff/issues/11508.
I hit this `todo!` trying to run type inference over some real modules.
Since it's a one-liner to implement it, I just did that rather than
changing to `Type::Unknown`.
## Summary
@zanieb noticed while we were discussing #12595 that this flag is now
unnecessary, so remove it and the flags which reference it.
## Test Plan
Question for maintainers: is there a test to add *or* remove here? (I’ve
opened this as a draft PR with that in view!)
## Summary
This pull request adds support for logging via `$/logTrace` RPC
messages. It also enables that code path for when a client is Zed editor
or VS Code (as there's no way for us to generically tell whether a client prefers
`$/logTrace` over stderr.
Related to: #12523
## Test Plan
I've built Ruff from this branch and tested it manually with Zed.
---------
Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Extend `flake8-builtins` to imports, lambda-arguments, and modules to be
consistent with original checker
[flake8_builtins](https://github.com/gforcada/flake8-builtins/blob/main/flake8_builtins.py).
closes#12540
## Details
- Implement builtin-import-shadowing (A004)
- Stop tracking imports shadowing in builtin-variable-shadowing (A001)
in preview mode.
- Implement builtin-lambda-argument-shadowing (A005)
- Implement builtin-module-shadowing (A006)
- Add new option `linter.flake8_builtins.builtins_allowed_modules`
## Test Plan
cargo test
## Summary
If an import is marked as "required", we should never flag it as unused.
In practice, this is rare, since required imports are typically used for
`__future__` annotations, which are always considered "used".
Closes https://github.com/astral-sh/ruff/issues/12458.
Now that we have builtins available, resolve some simple cases to the
right builtin type.
We should also adjust the display for types to include their module
name; that's not done yet here.
## Summary
This PR adds support for untitled files in the Red Knot project.
Refer to the [design
discussion](https://github.com/astral-sh/ruff/discussions/12336) for
more details.
### Changes
* The `parsed_module` always assumes that the `SystemVirtual` path is of
`PySourceType::Python`.
* For the module resolver, as suggested, I went ahead by adding a new
`SystemOrVendoredPath` enum and renamed `FilePathRef` to
`SystemOrVendoredPathRef` (happy to consider better names here).
* The `file_to_module` query would return if it's a
`FilePath::SystemVirtual` variant because a virtual file doesn't belong
to any module.
* The sync implementation for the system virtual path is basically the
same as that of system path except that it uses the
`virtual_path_metadata`. The reason for this is that the system
(language server) would provide the metadata on whether it still exists
or not and if it exists, the corresponding metadata.
For point (1), VS Code would use `Untitled-1` for Python files and
`Untitled-1.ipynb` for Jupyter Notebooks. We could use this distinction
to determine whether the source type is `Python` or `Ipynb`.
## Test Plan
Added test cases in #12526