## Summary
Adds a rule to detect unions that include `typing.NoReturn` or
`typing.Never`. In such cases, the use of the bottom type is redundant.
Closes https://github.com/astral-sh/ruff/issues/9113.
## Test Plan
`cargo test`
## Summary
fixes#6956
details in issue
Following an advice in
https://github.com/astral-sh/ruff/issues/6956#issuecomment-1817672585,
this change separates expressions to 3 levels of "constant likelihood":
* literals, empty dict and tuples... (definitely constant, level 2)
* CONSTANT_CASE vars (probably constant, 1)
* all other expressions (0)
a comparison is marked yoda if the level is strictly higher on its left
hand side
following
https://github.com/astral-sh/ruff/issues/6956#issuecomment-1697107822
marking compound expressions of literals (e.g. `60 * 60` ) as constants
this change current behaviour on
`SomeClass().settings.SOME_CONSTANT_VALUE > (60 * 60)` in the fixture
from error to ok
## Summary
Given a function like:
```python
def func(x: int):
if not x:
raise ValueError
else:
raise TypeError
```
We now correctly use `NoReturn` as the return type, rather than `None`.
Closes https://github.com/astral-sh/ruff/issues/9201.
## Summary
Part of #8771. flake8-pyi will emit a Y018 error for unused TypeVars,
ParamSpecs or TypeVarTuples; Ruff currently only emits PYI018 for unused
TypeVars.
This is my first "proper" Ruff PR -- let me know if there's a better way
of doing this! Not sure if the repeated calls to `match_typing_expr()`
are ideal.
## Test Plan
I manually updated the fixtures to add some unused ParamSpecs and
TypeVarTuples, and then updated the snapshots using `cargo insta
review`. All tests then passed when run using `cargo test`.
## Summary
Given `Callable[[Callable[_P, _R]], Callable[_P, _R]]` from the
originating issue, when quoting `Callable`, we quoted the inner
`[Callable[_P, _R]]`, and then created a separate edit for the outer
`Callable`. Since there's an extra level of nesting in the subscript,
the edit for `[Callable[_P, _R]]` correctly did _not_ expand to the
entire expression. However, in this case, we should discard the inner
edit, since the expression is getting quoted by the outer edit anyway.
Closes https://github.com/astral-sh/ruff/issues/9162.
## Summary
A common mistake is to add quotes around one member in an `X | Y`-style
type union, as in:
```python
contract_versions_list: list[ContractVersion] | 'QuerySet[ContractVersion]' | None = None
```
However, doing so will lead to a runtime error if the annotation is
runtime-evaluated. This PR lints against such patterns.
Closes https://github.com/astral-sh/ruff/issues/9139.
## Summary
Fix dropped union expressions for piped non-types in `PYI055` autofix
If you had `type[int] | type[str] | str`, it would have dropped the
`str`, which breaks the type!
Closes#9156
## Test Plan
`cargo test`
Fix#9080
Example, where `[]` is a 2 byte non-breaking space:
```
def f():
""" Docstring header
^^^^ Real indentation is 4 chars
docstring body, over-indented
^^^^^^ Over-indentation is 6 - 4 = 2 chars due to this line
[] [] docstring body 2, further indented
^^^^^ We take these 4 chars/5 bytes to match the docstring ...
^^^ ... and these 2 chars/3 bytes to remove the `over_indented_size` ...
^^ ... but preserve this real indent
```
Given:
```python
x: DataFrame[
int
] = 1
```
We currently wrap the annotation in single quotes, which leads to a
syntax error:
```python
x: "DataFrame[
int
]" = 1
```
There are a few options for what to suggest for users here... Use triple
quotes:
```python
x: """DataFrame[
int
]""" = 1
```
Or, use an implicit string concatenation (which may require
parentheses):
```python
x: ("DataFrame["
"int"
"]") = 1
```
The solution I settled on here is to use the `Generator`, which
effectively means we write it out on a single line, like:
```python
x: "DataFrame[int]" = 1
```
It's kind of the "least opinionated" solution, but it does mean we'll
expand to a very long line in some cases.
Closes https://github.com/astral-sh/ruff/issues/9136.
This PR adds a `as_slice` method to all the string nodes which returns
all the parts of the nodes as a slice. This will be useful in the next
PR to split the string formatting to use this method to extract the
_single node_ or _implicitly concanated nodes_.
## Summary
Adds support for sarif v2.1.0 output to cli, usable via the
output-format paramter.
`ruff . --output-format=sarif`
Includes a few changes I wasn't sure of, namely:
* Adds a few derives for Clone & Copy, which I think could be removed
with a little extra work as well.
## Test Plan
I built and ran this against several large open source projects and
verified that the output sarif was valid, using [Microsoft's SARIF
validator tool](https://sarifweb.azurewebsites.net/Validation)
I've also attached an output of the sarif generated by this version of
ruff on the main branch of django at commit: b287af5dc9
[django_main_b287af5dc9_sarif.json](13626222/django_main_b287af5dc9_sarif.json)
Note: this needs to be regenerated with the latest changes and
confirmed.
## Open Points
[ ] Convert to just using all Rules all the time
[ ] Fix the issue with getting the file URI when compiling for web
assembly
## Summary
This allows us to fix usages like:
```python
from pandas import DataFrame
def baz() -> DataFrame:
...
```
By quoting the `DataFrame` in `-> DataFrame`. Without quotes, moving
`from pandas import DataFrame` into an `if TYPE_CHECKING:` block will
fail at runtime, since Python tries to evaluate the annotation to add it
to the function's `__annotations__`.
Unfortunately, this does require us to split our "annotation kind" flags
into three categories, rather than two:
- `typing-only`: The annotation is only evaluated at type-checking-time.
- `runtime-evaluated`: Python will evaluate the annotation at runtime
(like above) -- but we're willing to quote it.
- `runtime-required`: Python will evaluate the annotation at runtime
(like above), and some library (like Pydantic) needs it to be available
at runtime, so we _can't_ quote it.
This functionality is gated behind a setting
(`flake8-type-checking.quote-annotations`).
Closes https://github.com/astral-sh/ruff/issues/5559.
## Summary
Adds `find_assigned_value` a function which gets the `&Expr` assigned to
a given `id` if one exists in the semantic model.
Open TODOs:
- [ ] Handle `binding.kind.is_unpacked_assignment()`: I am bit confused
by this one. The snippet from its documentation does not appear to be
counted as an unpacked assignment and the only ones I could find for
which that was true were invalid Python like:
```python
x, y = 1
```
- [ ] How to handle AugAssign. Can we combine statements like:
```python
(a, b) = [(1, 2, 3), (4,)]
a += (6, 7)
```
to get the full value for a? Code currently just returns `None` for
these assign types
- [ ] Multi target assigns
```python
m_c = (m_d, m_e) = (0, 0)
trio.sleep(m_c) # OK
trio.sleep(m_d) # TRIO115
trio.sleep(m_e) # TRIO115
```
## Test Plan
Used the function in two rules:
- `TRIO115`
- `PERF101`
Expanded both their fixtures for explicit multi target check
## Summary
A fairly common pattern which triggers F841 is unused variables from
tuple assignments, e.g.:
user, created = User.objects.get_or_create(...)
^ F841: Local variable `created` is assigned to but never used
This error is currently not auto-fixable.
This PR adds support for fixing the error automatically by renaming the
unused variable to have a leading underscore (i.e. `_created`) **iff**
the `dummy-variable-rgx` setting would match it.
I considered using `renamers::Renamer` here, but because by the nature
of the error there should be no references to it, that seemed like
overkill. Also note that the fix might break by shadowing the new name
if it is already used elsewhere in the scope. I left it as is because
1. the renamed variable matches the "unused" regex, so it should
hopefully not already be used,
2. the fix is marked as unsafe so it should be reviewed manually
anyways, and
3. I'm not actually sure how to check the scope for the new variable
name 😅
Hides hints about unsafe fixes when they are disabled e.g. with
`--no-unsafe-fixes` or `unsafe-fixes = false`. By default, unsafe fix
hints are still displayed. This seems like a nice way to remove the nag
for users who have chosen not to apply unsafe fixes.
Inspired by comment at
https://github.com/astral-sh/ruff/issues/9063#issuecomment-1850289675
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Check floating-point numbers similarly to integers in FURB163. For
example, both `math.log(x, 10)` and `math.log(x, 10.0)` should be
changed to `math.log10(x)`.
## Test Plan
<!-- How was it tested? -->
Added couple of test cases.
## Summary
E274 currently flags any keyword at the start of a line indented with
tabs. This turns out to be due to a bug in `Whitespace::trailing` that
never considers any whitespace containing a tab as indentation.
## Test Plan
Added a simple test case.
This PR allows `matplotlib.use` calls to intersperse imports without
triggering `E402`. This is a pragmatic choice as it's common to require
`matplotlib.use` calls prior to importing from within `matplotlib`
itself.
Closes https://github.com/astral-sh/ruff/issues/9091.
## Summary
Fixes#8863 : Detect asyncio-dangling-task (RUF006) when discarding
return value
## Test Plan
added new two testcases, changed result of an old one that was made more
specific
## Summary
Fix a couple typos:
- I'm certain about `It's is` → `It is`.
- Not sure about `is it's` → `if it's` because I don't understand the
sentence.
## Test Plan
No tests.
