Previously, this lint had its alias detection logic a little
backwards. That is, for Python 3.11+, it would *only* detect
asyncio.TimeoutError as an alias, but it should have also detected
socket.timeout as an alias. And in Python <3.11, it would falsely
detect asyncio.TimeoutError as an alias where it should have only
detected socket.timeout as an alias.
We fix it so that both asyncio.TimeoutError and socket.timeout are
detected as aliases in Python 3.11+, and only socket.timeout is
detected as an alias in Python 3.10.
Fixes#8565
## Test Plan
I tested this by updating the existing snapshot test which had
erroneously
asserted that socket.timeout should not be replaced with TimeoutError in
Python
3.11+. I also added a new regression test that targets Python 3.10 and
ensures
that the suggestion to replace asyncio.TimeoutError with TimeoutError
does not
occur.
## Summary
This fixes the bug where the `flake8-commas` rules weren't taking the
new f-string tokens into account.
## Test Plan
Add new test cases around f-strings for all of `flake8-commas`'s rules.
fixes: #8556
## Summary
An assignment can be _both_ (e.g.) a loop variable _and_ assigned via
unpacking. In other words, unpacking is a quality of an assignment, not
a _kind_.
## Summary
This brings ruff's behavior in line with what `pep8-naming` already does
and thus closes#8397.
I had initially implemented this to look at the last segment of a dotted
path only when the entry in the `*-decorators` setting started with a
`.`, but in the end I thought it's better to remain consistent w/
`pep8-naming` and doing a match against the last segment of the
decorator name in any case.
If you prefer to diverge from this in favor of less ambiguity in the
configuration let me know and I'll change it so you would need to put
e.g. `.expression` in the `classmethod-decorators` list.
## Test Plan
Tested against the file in the issue linked below, plus the new testcase
added in this PR.
~Improves detection of types imported from `typing_extensions`. Removes
the hard-coded list of supported types in `typing_extensions`; instead
assuming all types could be imported from `typing`, `_typeshed`, or
`typing_extensions`.~
~The typing extensions package appears to re-export types even if they
do not need modification.~
Adds detection of `if typing_extensions.TYPE_CHECKING` blocks. Avoids
inserting a new `if TYPE_CHECKING` block and `from typing import
TYPE_CHECKING` if `typing_extensions.TYPE_CHECKING` is used (closes
https://github.com/astral-sh/ruff/issues/8427)
---------
Co-authored-by: Charlie Marsh <charlie.r.marsh@gmail.com>
## Summary
This PR fixes the bug where the generated fix for `EM*` rules would
replace a
triple-quoted (f-)string with a single-quoted (f-)string. This changes
the
semantic of the string in case it contains a single-quoted string
literal. This
is especially evident with f-strings where the expression could contain
another
string within it. For example,
```python
f"""normal {"another"} normal"""
```
## Test Plan
Add test case for triple-quoted string and update the snapshots.
fixes: #6988fixes: #7736
This ensures the python label is used for all python code blocks for
consistency.
## Test Plan
Visual inspection of all changes via git client ensuring no other
changes were made in error.
## Summary
This PR addresses the incompatibility with `jupyterlab-lsp` +
`python-lsp-ruff` arising from the inference of source type from file
extension, raised in #6847.
In particular it follows the suggestion in
https://github.com/astral-sh/ruff/issues/6847#issuecomment-1765724679 to
specify a mapping from file extension to source type.
The source types are
- python
- pyi
- ipynb
Usage:
```sh
ruff check --no-cache --stdin-filename Untitled.ipynb --extension ipynb:python
```
Unlike the original suggestion, `:` instead of `=` is used to associate
file extensions to language since that is what is used with
`--per-file-ignores` which is an existing option that accepts a mapping.
## Test Plan
2 tests added to `integration_test.rs` to ensure the override works as
expected
---------
Co-authored-by: Charlie Marsh <charlie.r.marsh@gmail.com>
## Summary
Prior to this change `extend_unsafe_fixes` took precedence over
`extend_safe_fixes` selectors, so any conflicts were resolved in favour
of `extend_unsafe_fixes`. Thanks to that ruff were conservatively
assuming that if configs conlict the fix corresponding to selected rule
will be treated as unsafe.
After this change we take into account Specificity of the selectors. For
conflicts between selectors of the same Specificity we will treat the
corresponding fixes as unsafe. But if the conflicting selectors are of
different specificity the more specific one will win.
## Test Plan
Tests were added for the `FixSafetyTable` struct. The
`check_extend_unsafe_fixes_conflict_with_extend_safe_fixes_by_specificity`
integration test was added to test conflicting rules of different
specificity.
Fixes#8404
---------
Co-authored-by: Zanie <contact@zanie.dev>
These names are only ever displayed internally right now and we could be
clearer in our test snapshots.
The diff is kind of scary because all of the tests fixtures are updated.
## Summary
This commit adds some additional error checking to the parser such that
assignments that are invalid syntax are rejected. This covers the
obvious cases like `5 = 3` and some not so obvious cases like `x + y =
42`.
This does add an additional recursive call to the parser for the cases
handling assignments. I had initially been concerned about doing this,
but `set_context` is already doing recursion during assignments, so I
didn't feel as though this was changing any fundamental performance
characteristics of the parser. (Also, in practice, I would expect any
such recursion here to be quite shallow since the recursion is done on
the target of an assignment. Such things are rarely nested much in
practice.)
Fixes#6895
## Test Plan
I've added unit tests covering every case that is detected as invalid on
an `Expr`.
## Summary
Fixes bug in `TRIO115` where it would not `return` for values that were
not a `NumberLiteral` so
```python
x = "bla"
trio.sleep(x)
```
would set off a false positive
## Test Plan
Added test case to fixture
## Summary
Given `key in obj.keys()`, `obj` _could_ be a dictionary, or it could be
another type that defines
a `.keys()` method. In the latter case, removing the `.keys()` attribute
could lead to a runtime error.
Previously, we marked all `SIM118` fixes as unsafe for this reason;
however, in preview, we now mark them as safe if we can
infer that the expression is a dictionary.
## Test Plan
Added a preview fixture.
## Summary
We have this pattern in a bunch of places, where we find the _only_
binding to a name (and return `None`) if it's bound multiple times. This
PR DRYs it up into a method on `SemanticModel`.
## Summary
If you want to create an edit with dynamic applicability, you have to
branch and repeat the edit entirely between the two branches. If you
further need the edit itself to be dynamic (e.g., perhaps you have a
single edit in one case, vs. multiple in another), you suddenly have
four branches. This PR just adds an alternate constructor that takes
applicability as an argument, as an escape hatch.
## Summary
Implement
[`no-is-type-none`](https://github.com/dosisod/refurb/blob/master/refurb/checks/builtin/no_is_type_none.py)
as `type-none-comparison` (`FURB169`).
Auto-fixes comparisons that use `type` to compare the type of an object
to `type(None)` to a `None` identity check. For example,
```python
type(foo) is type(None)
```
becomes
```python
foo is None
```
Related to #1348.
## Test Plan
`cargo test`
## Summary
Black and Ruff's preview styles now collapse statements like:
```python
from contextlib import nullcontext
ctx = nullcontext()
with ctx: ...
```
Historically, we made an exception here for classes
(https://github.com/astral-sh/ruff/pull/2837). This PR extends it to
other statement kinds for consistency with the formatter.
Closes https://github.com/astral-sh/ruff/issues/8496.
## Summary
Adds `TRIO105` from the [flake8-trio
plugin](https://github.com/Zac-HD/flake8-trio). The `MethodName` logic
mirrors that of `TRIO100` to stay consistent within the plugin.
It is at 95% parity with the exception of upstream also checking for a
slightly more complex scenario where a call to `start()` on a
`trio.Nursery` context should also be immediately awaited. Upstream
plugin appears to just check for anything named `nursery` judging from
[the relevant issue](https://github.com/Zac-HD/flake8-trio/issues/56).
Unsure if we want to do so something similar or, alternatively, if there
is some capability in ruff to check for calls made on this context some
other way
## Test Plan
Added a new fixture, based on [the one from upstream
plugin](https://github.com/Zac-HD/flake8-trio/blob/main/tests/eval_files/trio105.py)
## Issue link
Refers: https://github.com/astral-sh/ruff/issues/8451
## Summary
Adds `memoryview` to the list of typeclasses that `fn is_type()` uses
for type comparison checks so that it raises a violation if `is`, `is
not` or `isinstance()` are not used.
## Test Plan
Added examples to existing fixture
## Issue Link
Closes: https://github.com/astral-sh/ruff/issues/8483
This is the one refactor in the NumPy 2.0 upgrade rule that isn't
compatible with earlier versions of NumPy, so I'm marking it as unsafe
and adding a dedicated message.
## Summary
Currently, `UP032` applied to raw strings results in format strings with
the prefix 'fr'. This gets changed to 'rf' by Ruff format (or Black). In
order to avoid that, this PR uses the prefix 'rf' to begin with.
## Test Plan
Updated the expectation on an existing test.
## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Hi! Currently NumPy Python API is undergoing a cleanup process that will
be delivered in NumPy 2.0 (release is planned for the end of the year).
Most changes are rather simple (renaming, removing or moving a member of
the main namespace to a new place), and they could be flagged/fixed by
an additional ruff rule for numpy (e.g. changing occurrences of
`np.float_` to `np.float64`).
Would you accept such rule?
I named it `NPY201` in the existing group, so people will receive a
heads-up for changes arriving in 2.0 before actually migrating to it.
~~This is still a draft PR.~~ I'm not an expert in rust so if any part
of code can be done better please share!
NumPy 2.0 migration guide:
https://numpy.org/devdocs/numpy_2_0_migration_guide.html
NEP 52: https://numpy.org/neps/nep-0052-python-api-cleanup.html
NumPy cleanup tracking issue:
https://github.com/numpy/numpy/issues/23999
## Test Plan
A unit test is provided that checks all rule's fix cases.
