@AlexWaygood discovered that even though we've been propagating
specializations to _parent_ base classes correctly, we haven't been
passing them on to _grandparent_ base classes:
https://github.com/astral-sh/ruff/pull/17832#issuecomment-2854360969
```py
class Bar[T]:
x: T
class Baz[T](Bar[T]): ...
class Spam[T](Baz[T]): ...
reveal_type(Spam[int]().x) # revealed: `T`, but should be `int`
```
This PR updates the MRO machinery to apply the current specialization
when starting to iterate the MRO of each base class.
## Summary
This PR partially addresses #16418 via the following:
- `LinterSettings::unresolved_python_version` is now a `TargetVersion`,
which is a thin wrapper around an `Option<PythonVersion>`
- `Checker::target_version` now calls `TargetVersion::linter_version`
internally, which in turn uses `unwrap_or_default` to preserve the
current default behavior
- Calls to the parser now call `TargetVersion::parser_version`, which
calls `unwrap_or_else(PythonVersion::latest)`
- The `Checker`'s implementation of
`SemanticSyntaxContext::python_version` also uses
`TargetVersion::parser_version` to use `PythonVersion::latest` for
semantic errors
In short, all lint rule behavior should be unchanged, but we default to
the latest Python version for the new syntax errors, which should
minimize confusing version-related syntax errors for users without a
version configured.
## Test Plan
Existing tests, which showed no changes (except for printing default
settings).
## Summary
Introducing a new rule based on discussions in #15732 and #15729 that
checks for unnecessary in with empty collections.
I called it in_empty_collection and gave the rule number RUF060.
Rule is in preview group.
e.g.,
```
❯ uv run -q -- ty -V
ty 0.0.0-alpha.4 (08881edba 2025-05-05)
❯ uv run -q -- ty --version
ty 0.0.0-alpha.4 (08881edba 2025-05-05)
```
Previously, this just displayed `ty 0.0.0` because it didn't use our
custom version implementation. We no longer have a short version —
matching the interface in uv. We could add a variant for it, if it seems
important to people. However, I think we found it more confusing than
not over there and didn't get any complaints about the change.
Closes https://github.com/astral-sh/ty/issues/54
Extends https://github.com/astral-sh/ruff/pull/17866, using
`dist-workspace.toml` as a source of truth for versions to enable
version retrieval in distributions that are not Git repositories (i.e.,
Python source distributions and source tarballs consumed by Linux
distros).
I retain the Git tag lookup from
https://github.com/astral-sh/ruff/pull/17866 as a fallback — it seems
harmless, but we could drop it to simplify things here.
I confirmed this works from the repository as well as Python source and
binary distributions:
```
❯ uv run --refresh-package ty --reinstall-package ty -q -- ty version
ty 0.0.1-alpha.1+5 (2eadc9e61 2025-05-05)
❯ uv build
...
❯ uvx --from ty@dist/ty-0.0.0a1.tar.gz --no-cache -q -- ty version
ty 0.0.1-alpha.1
❯ uvx --from ty@dist/ty-0.0.0a1-py3-none-macosx_11_0_arm64.whl -q -- ty version
ty 0.0.1-alpha.1
```
Requires https://github.com/astral-sh/ty/pull/36
cc @Gankra and @MichaReiser for review.
Currently, `ty version` pulls its information from the Ruff repository —
but we want this to pull from the repository in the directory _above_
when Ruff is a submodule.
I tested this in the `ty` repository after tagging an arbitrary commit:
```
❯ uv run --refresh-package ty --reinstall-package ty ty version
Built ty @ file:///Users/zb/workspace/ty
Uninstalled 1 package in 2ms
Installed 1 package in 1ms
ty 0.0.0+3 (34253b1d4 2025-05-05)
```
We also use the last Git tag as the source of truth for the version,
instead of the crate version. However, we'll need a way to set the
version for releases still, as the tag is published _after_ the build.
We can either tag early (without pushing the tag to the remote), or add
another environment variable. (**Note, this approach is changed in a
follow-up. See https://github.com/astral-sh/ruff/pull/17868**)
From this repository, the version will be `unknown`:
```
❯ cargo run -q --bin ty -- version
ty unknown
```
We could add special handling like... `ty unknown (ruff@...)` but I see
that as a secondary goal.
Closes https://github.com/astral-sh/ty/issues/5
The reviewer situation in this repository is unhinged, cc @Gankra and
@MichaReiser for review.
## Summary
This fixes some false positives that showed up in the primer diff for
https://github.com/astral-sh/ruff/pull/17832
## Test Plan
new mdtests added that fail with false-positive diagnostics on `main`
## Summary
This PR fixes#17595.
## Test Plan
New test cases are added to `mdtest/narrow/conditionals/nested.md`.
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
If a typevar is declared as having a default, we shouldn't require a
type to be specified for that typevar when explicitly specializing a
generic class:
```py
class WithDefault[T, U = int]: ...
reveal_type(WithDefault[str]()) # revealed: WithDefault[str, int]
```
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
Fixes
https://github.com/astral-sh/ruff/pull/17832#issuecomment-2851224968. We
had a comment that we did not need to apply specializations to generic
aliases, or to the bound `self` of a bound method, because they were
already specialized. But they might be specialized with a type variable,
which _does_ need to be specialized, in the case of a "multi-step"
specialization, such as:
```py
class LinkedList[T]: ...
class C[U]:
def method(self) -> LinkedList[U]:
return LinkedList[U]()
```
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
closes#17472
This is obviously just a band-aid solution to this problem (in that you
can always make your [pathological
inputs](28994edd82/sympy/polys/numberfields/resolvent_lookup.py)
bigger and it will still crash), but I think this is not an unreasonable
change — even if we add more sophisticated solutions later. I tried
using `stacker` as suggested by @MichaReiser, and it works. But it's
unclear where exactly would be the right place to put it, and even for
the `sympy` problem, we would need to add it both in the semantic index
builder AST traversal and in type inference. Increasing the default
stack size for worker threads, as proposed here, doesn't solve the
underlying problem (that there is a hard limit), but it is more
universal in the sense that it is not specific to large binary-operator
expression chains.
To determine a reasonable stack size, I created files that look like
*right associative*:
```py
from typing import reveal_type
total = (1 + (1 + (1 + (1 + (… + 1)))))
reveal_type(total)
```
*left associative*
```py
from typing import reveal_type
total = 1 + 1 + 1 + 1 + … + 1
reveal_type(total)
```
with a variable amount of operands (`N`). I then chose the stack size
large enough to still be able to handle cases that existing type
checkers can not:
```
right
N = 20: mypy takes ~ 1min
N = 350: pyright crashes with a stack overflow (mypy fails with "too many nested parentheses")
N = 800: ty(main) infers Literal[800] instantly
N = 1000: ty(main) crashes with "thread '<unknown>' has overflowed its stack"
N = 7000: ty(this branch) infers Literal[7000] instantly
N = 8000+: ty(this branch) crashes
left
N = 300: pyright emits "Maximum parse depth exceeded; break expression into smaller sub-expressions"
total is inferred as Unknown
N = 5500: mypy crashes with "INTERNAL ERROR"
N = 2500: ty(main) infers Literal[2500] instantly
N = 3000: ty(main) crashes with "thread '<unknown>' has overflowed its stack"
N = 22000: ty(this branch) infers Literal[22000] instantly
N = 23000+: ty(this branch) crashes
```
## Test Plan
New regression test.
This fixes cycle panics in several ecosystem projects (moved to
`good.txt` in a following PR
https://github.com/astral-sh/ruff/pull/17834 because our mypy-primer job
doesn't handle it well if we move projects to `good.txt` in the same PR
that fixes `ty` to handle them), as well as in the minimal case in the
added mdtest. It also fixes a number of panicking fuzzer seeds. It
doesn't appear to cause any regression in any ecosystem project or any
fuzzer seed.
The PR add the fix safety section for rule `RUF013`
(https://github.com/astral-sh/ruff/issues/15584 )
The fix was introduced here #4831
The rule as a lot of False Negative (as it is explained in the docs of
the rule).
The main reason because the fix is unsafe is that it could change code
generation tools behaviour, as in the example here:
```python
def generate_api_docs(func):
hints = get_type_hints(func)
for param, hint in hints.items():
if is_optional_type(hint):
print(f"Parameter '{param}' is optional")
else:
print(f"Parameter '{param}' is required")
# Before fix
def create_user(name: str, roles: list[str] = None):
pass
# After fix
def create_user(name: str, roles: Optional[list[str]] = None):
pass
# Generated docs would change from "roles is required" to "roles is optional"
```
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Re: #17526
## Summary
Add test fixtures for `AwaitOutsideAsync` and
`AsyncComprehensionOutsideAsyncFunction` errors.
<!-- What's the purpose of the change? What does it do, and why? -->
## Test Plan
This is a test.
<!-- How was it tested? -->
Re: #17526
## Summary
Add integration tests for Python Semantic Syntax for
`InvalidStarExpression`, `DuplicateMatchKey`, and
`DuplicateMatchClassAttribute`.
## Note
- Red knot integration tests for `DuplicateMatchKey` exist already in
line 89-101.
<!-- What's the purpose of the change? What does it do, and why? -->
## Test Plan
This is a test.
<!-- How was it tested? -->
When attempting to determine whether `import foo.bar.baz` is a known
first-party import relative to [user-provided source
paths](https://docs.astral.sh/ruff/settings/#src), when `preview` is
enabled we now check that `SRC/foo/bar/baz` is a directory or
`SRC/foo/bar/baz.py` or `SRC/foo/bar/baz.pyi` exist.
Previously, we just checked the analogous thing for `SRC/foo`, but this
can be misleading in situations with disjoint namespace packages that
share a common base name (e.g. we may be working inside the namespace
package `foo.buzz` and importing `foo.bar` from elsewhere).
Supersedes #12987Closes#12984
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## Summary
Fixes#17798
<!-- What's the purpose of the change? What does it do, and why? -->
## Test Plan
Snapshot tests
<!-- How was it tested? -->
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Skip attribute check in try catch block (`AIR301`)
## Test Plan
<!-- How was it tested? -->
update
`crates/ruff_linter/resources/test/fixtures/airflow/AIR301_names_try.py`
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Remove `airflow.utils.dag_parsing_context.get_parsing_context` from
AIR301 as it has been moved to AIR311
## Test Plan
<!-- How was it tested? -->
the test fixture was updated in the previous PR
## Summary
When entering an `infer_expression_types` cycle from
`TypeInferenceBuilder::infer_standalone_expression`, we might get back a
`TypeInference::cycle_fallback(…)` that doesn't actually contain any new
types, but instead it contains a `cycle_fallback_type` which is set to
`Some(Type::Never)`. When calling `self.extend(…)`, we therefore don't
really pull in a type for the expression we're interested in. This
caused us to panic if we tried to call `self.expression_type(…)` after
`self.extend(…)`.
The proposed fix here is to retrieve that type from the nested
`TypeInferenceBuilder` directly, which will correctly fall back to
`cycle_fallback_type`.
## Details
I minimized the second example from #17792 a bit further and used this
example for debugging:
```py
from __future__ import annotations
class C: ...
def f(arg: C):
pass
x, _ = f(1)
assert x
```
This is self-referential because when we check the assignment statement
`x, _ = f(1)`, we need to look up the signature of `f`. Since evaluation
of annotations is deferred, we look up the public type of `C` for the
`arg` parameter. The public use of `C` is visibility-constraint by "`x`"
via the `assert` statement. While evaluating this constraint, we need to
look up the type of `x`, which in turn leads us back to the `x, _ =
f(1)` definition.
The reason why this only showed up in the relatively peculiar case with
unpack assignments is the code here:
78b4c3ccf1/crates/ty_python_semantic/src/types/infer.rs (L2709-L2718)
For a non-unpack assignment like `x = f(1)`, we would not try to infer
the right-hand side eagerly. Instead, we would enter a
`infer_definition_types` cycle that handles the situation correctly. For
unpack assignments, however, we try to infer the type of `value`
(`f(1)`) and therefore enter the cycle via `standalone_expression_type
=> infer_expression_type`.
closes#17792
## Test Plan
* New regression test
* Made sure that we can now run successfully on scipy => see #17850
This PR updates the semantic model for Python 3.14 by essentially
equating "run using Python 3.14" with "uses `from __future__ import
annotations`".
While this is not technically correct under the hood, it appears to be
correct for the purposes of our semantic model. That is: from the point
of view of deciding when to parse, bind, etc. annotations, these two
contexts behave the same. More generally these contexts behave the same
unless you are performing some kind of introspection like the following:
Without future import:
```pycon
>>> from annotationlib import get_annotations,Format
>>> def foo()->Bar:...
...
>>> get_annotations(foo,format=Format.FORWARDREF)
{'return': ForwardRef('Bar')}
>>> get_annotations(foo,format=Format.STRING)
{'return': 'Bar'}
>>> get_annotations(foo,format=Format.VALUE)
Traceback (most recent call last):
[...]
NameError: name 'Bar' is not defined
>>> get_annotations(foo)
Traceback (most recent call last):
[...]
NameError: name 'Bar' is not defined
```
With future import:
```
>>> from __future__ import annotations
>>> from annotationlib import get_annotations,Format
>>> def foo()->Bar:...
...
>>> get_annotations(foo,format=Format.FORWARDREF)
{'return': 'Bar'}
>>> get_annotations(foo,format=Format.STRING)
{'return': 'Bar'}
>>> get_annotations(foo,format=Format.VALUE)
{'return': 'Bar'}
>>> get_annotations(foo)
{'return': 'Bar'}
```
(Note: the result of the last call to `get_annotations` in these
examples relies on the fact that, as of this writing, the default value
for `format` is `Format.VALUE`).
If one day we support lint rules targeting code that introspects using
the new `annotationlib`, then it is possible we will need to revisit our
approximation.
Closes#15100
## Summary
Currently red-knot does not understand `Foo` and `Bar` here as being
equivalent:
```py
from typing import Protocol
class A: ...
class B: ...
class C: ...
class Foo(Protocol):
x: A | B | C
class Bar(Protocol):
x: B | A | C
```
Nor does it understand `A | B | Foo` as being equivalent to `Bar | B |
A`. This PR fixes that.
## Test Plan
new mdtest assertions added that fail on `main`
## Summary
Currently this assertion fails on `main`, because we do not synthesize a
`__call__` attribute for Callable types:
```py
from typing import Protocol, Callable
from knot_extensions import static_assert, is_assignable_to
class Foo(Protocol):
def __call__(self, x: int, /) -> str: ...
static_assert(is_assignable_to(Callable[[int], str], Foo))
```
This PR fixes that.
See previous discussion about this in
https://github.com/astral-sh/ruff/pull/16493#discussion_r1985098508 and
https://github.com/astral-sh/ruff/pull/17682#issuecomment-2839527750
## Test Plan
Existing mdtests updated; a couple of new ones added.
This adds support for legacy generic classes, which use a
`typing.Generic` base class, or which inherit from another generic class
that has been specialized with legacy typevars.
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
Quick follow-on to #17788. If there is no bound `self` parameter, we can
reuse the existing `CallArgument{,Type}s`, and we can use a straight
`Vec` instead of a `VecDeque`.
## Summary
Remove mutability in parameter types for a few functions such as
`with_self` and `try_call`. I tried the `Rc`-approach with cheap cloning
[suggest
here](https://github.com/astral-sh/ruff/pull/17733#discussion_r2068722860)
first, but it turns out we need a whole stack of prepended arguments
(there can be [both `self` *and*
`cls`](3cf44e401a/crates/red_knot_python_semantic/resources/mdtest/call/constructor.md?plain=1#L113)),
and we would need the same construct not just for `CallArguments` but
also for `CallArgumentTypes`. At that point we're cloning `VecDeque`s
anyway, so the overhead of cloning the whole `VecDeque` with all
arguments didn't seem to justify the additional code complexity.
## Benchmarks
Benchmarks on tomllib, black, jinja, isort seem neutral.
## Summary
Add the ability to detect instance attribute assignments in class
methods that are generic.
This does not address the code duplication mentioned in #16928. I can
open a ticket for this after this has been merged.
closes#16928
## Test Plan
Added regression test.
This PR does the wiring necessary to respond to completion requests from
LSP clients.
As far as the actual completion results go, they are nearly about the
dumbest and simplest thing we can do: we simply return a de-duplicated
list of all identifiers from the current module.
Summary
--
Fixes#16598 by adding the `--python` flag to `ruff analyze graph`,
which adds a `PythonPath` to the `SearchPathSettings` for module
resolution. For the [albatross-virtual-workspace] example from the uv
repo, this updates the output from the initial issue:
```shell
> ruff analyze graph packages/albatross
{
"packages/albatross/check_installed_albatross.py": [
"packages/albatross/src/albatross/__init__.py"
],
"packages/albatross/src/albatross/__init__.py": []
}
```
To include both the the workspace `bird_feeder` import _and_ the
third-party `tqdm` import in the output:
```shell
> myruff analyze graph packages/albatross --python .venv
{
"packages/albatross/check_installed_albatross.py": [
"packages/albatross/src/albatross/__init__.py"
],
"packages/albatross/src/albatross/__init__.py": [
".venv/lib/python3.12/site-packages/tqdm/__init__.py",
"packages/bird-feeder/src/bird_feeder/__init__.py"
]
}
```
Note the hash in the uv link! I was temporarily very confused why my
local tests were showing an `iniconfig` import instead of `tqdm` until I
realized that the example has been updated on the uv main branch, which
I had locally.
Test Plan
--
A new integration test with a stripped down venv based on the
`albatross` example.
[albatross-virtual-workspace]:
aa629c4a54/scripts/workspaces/albatross-virtual-workspace
## Summary
Contains the same changes to the semantic type inference as
https://github.com/astral-sh/ruff/pull/17705.
Fixes#17694
<!-- What's the purpose of the change? What does it do, and why? -->
## Test Plan
<!-- How was it tested? -->
Snapshot tests.
---------
Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
## Summary
Adds preliminary support for `NamedTuple`s, including:
* No false positives when constructing a `NamedTuple` object
* Correct signature for the synthesized `__new__` method, i.e. proper
checking of constructor calls
* A patched MRO (`NamedTuple` => `tuple`), mainly to make type inference
of named attributes possible, but also to better reflect the runtime
MRO.
All of this works:
```py
from typing import NamedTuple
class Person(NamedTuple):
id: int
name: str
age: int | None = None
alice = Person(1, "Alice", 42)
alice = Person(id=1, name="Alice", age=42)
reveal_type(alice.id) # revealed: int
reveal_type(alice.name) # revealed: str
reveal_type(alice.age) # revealed: int | None
# error: [missing-argument]
Person(3)
# error: [too-many-positional-arguments]
Person(3, "Eve", 99, "extra")
# error: [invalid-argument-type]
Person(id="3", name="Eve")
```
Not included:
* type inference for index-based access.
* support for the functional `MyTuple = NamedTuple("MyTuple", […])`
syntax
## Test Plan
New Markdown tests
## Ecosystem analysis
```
Diagnostic Analysis Report
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓
┃ Diagnostic ID ┃ Severity ┃ Removed ┃ Added ┃ Net Change ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩
│ lint:call-non-callable │ error │ 0 │ 3 │ +3 │
│ lint:call-possibly-unbound-method │ warning │ 0 │ 4 │ +4 │
│ lint:invalid-argument-type │ error │ 0 │ 72 │ +72 │
│ lint:invalid-context-manager │ error │ 0 │ 2 │ +2 │
│ lint:invalid-return-type │ error │ 0 │ 2 │ +2 │
│ lint:missing-argument │ error │ 0 │ 46 │ +46 │
│ lint:no-matching-overload │ error │ 19121 │ 0 │ -19121 │
│ lint:not-iterable │ error │ 0 │ 6 │ +6 │
│ lint:possibly-unbound-attribute │ warning │ 13 │ 32 │ +19 │
│ lint:redundant-cast │ warning │ 0 │ 1 │ +1 │
│ lint:unresolved-attribute │ error │ 0 │ 10 │ +10 │
│ lint:unsupported-operator │ error │ 3 │ 9 │ +6 │
│ lint:unused-ignore-comment │ warning │ 15 │ 4 │ -11 │
├───────────────────────────────────┼──────────┼─────────┼───────┼────────────┤
│ TOTAL │ │ 19152 │ 191 │ -18961 │
└───────────────────────────────────┴──────────┴─────────┴───────┴────────────┘
Analysis complete. Found 13 unique diagnostic IDs.
Total diagnostics removed: 19152
Total diagnostics added: 191
Net change: -18961
```
I uploaded the ecosystem full diff (ignoring the 19k
`no-matching-overload` diagnostics)
[here](https://shark.fish/diff-namedtuple.html).
* There are some new `missing-argument` false positives which come from
the fact that named tuples are often created using unpacking as in
`MyNamedTuple(*fields)`, which we do not understand yet.
* There are some new `unresolved-attribute` false positives, because
methods like `_replace` are not available.
* Lots of the `invalid-argument-type` diagnostics look like true
positives
---------
Co-authored-by: Douglas Creager <dcreager@dcreager.net>
## Summary
This PR updates the existing overload matching methods to return an
iterator of all the matched overloads instead.
This would be useful once the overload call evaluation algorithm is
implemented which should provide an accurate picture of all the matched
overloads. The return type would then be picked from either the only
matched overload or the first overload from the ones that are matched.
In an earlier version of this PR, it tried to check if using an
intersection of return types from the matched overload would help reduce
the false positives but that's not enough. [This
comment](https://github.com/astral-sh/ruff/pull/17618#issuecomment-2842891696)
keep the ecosystem analysis for that change for prosperity.
> [!NOTE]
>
> The best way to review this PR is by hiding the whitespace changes
because there are two instances where a large match expression is
indented to be inside a loop over matching overlods
>
> <img width="1207" alt="Screenshot 2025-04-28 at 15 12 16"
src="https://github.com/user-attachments/assets/e06cbfa4-04fa-435f-84ef-4e5c3c5626d1"
/>
## Test Plan
Make sure existing test cases are unaffected and no ecosystem changes.
## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
This is not yet fixing anything as the names are not changed, but it
lays down the foundation for fixing.
## Test Plan
<!-- How was it tested? -->
the existing test fixture should already cover this change
## Summary
Part of #17412
Starred expressions cannot be used as values in assignment expressions.
Add a new semantic syntax error to catch such instances.
Note that we already have
`ParseErrorType::InvalidStarredExpressionUsage` to catch some starred
expression errors during parsing, but that does not cover top level
assignment expressions.
## Test Plan
- Added new inline tests for the new rule
- Found some examples marked as "valid" in existing tests (`_ = *data`),
which are not really valid (per this new rule) and updated them
- There was an existing inline test - `assign_stmt_invalid_value_expr`
which had instances of `*` expression which would be deemed invalid by
this new rule. Converted these to tuples, so that they do not trigger
this new rule.
## Summary
Model the lookup of `__new__` without going through
`Type::try_call_dunder`. The `__new__` method is only looked up on the
constructed type itself, not on the meta-type.
This now removes ~930 false positives across the ecosystem (vs 255 for
https://github.com/astral-sh/ruff/pull/17662). It introduces 30 new
false positives related to the construction of enums via something like
`Color = enum.Enum("Color", ["RED", "GREEN"])`. This is expected,
because we don't handle custom metaclass `__call__` methods. The fact
that we previously didn't emit diagnostics there was a coincidence (we
incorrectly called `EnumMeta.__new__`, and since we don't fully
understand its signature, that happened to work with `str`, `list`
arguments).
closes#17462
## Test Plan
Regression test
## Summary
Part of #15383.
As per the spec
(https://typing.python.org/en/latest/spec/overload.html#invalid-overload-definitions):
For `@staticmethod` and `@classmethod`:
> If one overload signature is decorated with `@staticmethod` or
`@classmethod`, all overload signatures must be similarly decorated. The
implementation, if present, must also have a consistent decorator. Type
checkers should report an error if these conditions are not met.
For `@final` and `@override`:
> If a `@final` or `@override` decorator is supplied for a function with
overloads, the decorator should be applied only to the overload
implementation if it is present. If an overload implementation isn’t
present (for example, in a stub file), the `@final` or `@override`
decorator should be applied only to the first overload. Type checkers
should enforce these rules and generate an error when they are violated.
If a `@final` or `@override` decorator follows these rules, a type
checker should treat the decorator as if it is present on all overloads.
## Test Plan
Update existing tests; add snapshots.
## Summary
As mentioned in the spec
(https://typing.python.org/en/latest/spec/overload.html#invalid-overload-definitions),
part of #15383:
> The `@overload`-decorated definitions must be followed by an overload
implementation, which does not include an `@overload` decorator. Type
checkers should report an error or warning if an implementation is
missing. Overload definitions within stub files, protocols, and on
abstract methods within abstract base classes are exempt from this
check.
## Test Plan
Remove TODOs from the test; create one diagnostic snapshot.
Re: #17526
## Summary
Adds tests to red knot and `linter.rs` for the semantic syntax.
Specifically add tests for `ReboundComprehensionVariable`,
`DuplicateTypeParameter`, and `MultipleCaseAssignment`.
Refactor the `test_async_comprehension_in_sync_comprehension` →
`test_semantic_error` to be more general for all semantic syntax test
cases.
## Test Plan
This is a test.
## Question
I'm happy to contribute more tests the coming days.
Should that happen here or should we merge this PR such that the
refactor `test_async_comprehension_in_sync_comprehension` →
`test_semantic_error` is available on main and others can chime in, too?
## Summary
Part of #15383, this PR adds the core infrastructure to check for
invalid overloads and adds a diagnostic to raise if there are < 2
overloads for a given definition.
### Design notes
The requirements to check the overloads are:
* Requires `FunctionType` which has the `to_overloaded` method
* The `FunctionType` **should** be for the function that is either the
implementation or the last overload if the implementation doesn't exists
* Avoid checking any `FunctionType` that are part of an overload chain
* Consider visibility constraints
This required a couple of iteration to make sure all of the above
requirements are fulfilled.
#### 1. Use a set to deduplicate
The logic would first collect all the `FunctionType` that are part of
the overload chain except for the implementation or the last overload if
the implementation doesn't exists. Then, when iterating over all the
function declarations within the scope, we'd avoid checking these
functions. But, this approach would fail to consider visibility
constraints as certain overloads _can_ be behind a version check. Those
aren't part of the overload chain but those aren't a separate overload
chain either.
<details><summary>Implementation:</summary>
<p>
```rs
fn check_overloaded_functions(&mut self) {
let function_definitions = || {
self.types
.declarations
.iter()
.filter_map(|(definition, ty)| {
// Filter out function literals that result from anything other than a function
// definition e.g., imports.
if let DefinitionKind::Function(function) = definition.kind(self.db()) {
ty.inner_type()
.into_function_literal()
.map(|ty| (ty, definition.symbol(self.db()), function.node()))
} else {
None
}
})
};
// A set of all the functions that are part of an overloaded function definition except for
// the implementation function and the last overload in case the implementation doesn't
// exists. This allows us to collect all the function definitions that needs to be skipped
// when checking for invalid overload usages.
let mut overloads: HashSet<FunctionType<'db>> = HashSet::default();
for (function, _) in function_definitions() {
let Some(overloaded) = function.to_overloaded(self.db()) else {
continue;
};
if overloaded.implementation.is_some() {
overloads.extend(overloaded.overloads.iter().copied());
} else if let Some((_, previous_overloads)) = overloaded.overloads.split_last() {
overloads.extend(previous_overloads.iter().copied());
}
}
for (function, function_node) in function_definitions() {
let Some(overloaded) = function.to_overloaded(self.db()) else {
continue;
};
if overloads.contains(&function) {
continue;
}
// At this point, the `function` variable is either the implementation function or the
// last overloaded function if the implementation doesn't exists.
if overloaded.overloads.len() < 2 {
if let Some(builder) = self
.context
.report_lint(&INVALID_OVERLOAD, &function_node.name)
{
let mut diagnostic = builder.into_diagnostic(format_args!(
"Function `{}` requires at least two overloads",
&function_node.name
));
if let Some(first_overload) = overloaded.overloads.first() {
diagnostic.annotate(
self.context
.secondary(first_overload.focus_range(self.db()))
.message(format_args!("Only one overload defined here")),
);
}
}
}
}
}
```
</p>
</details>
#### 2. Define a `predecessor` query
The `predecessor` query would return the previous `FunctionType` for the
given `FunctionType` i.e., the current logic would be extracted to be a
query instead. This could then be used to make sure that we're checking
the entire overload chain once. The way this would've been implemented
is to have a `to_overloaded` implementation which would take the root of
the overload chain instead of the leaf. But, this would require updates
to the use-def map to somehow be able to return the _following_
functions for a given definition.
#### 3. Create a successor link
This is what Pyrefly uses, we'd create a forward link between two
functions that are involved in an overload chain. This means that for a
given function, we can get the successor function. This could be used to
find the _leaf_ of the overload chain which can then be used with the
`to_overloaded` method to get the entire overload chain. But, this would
also require updating the use-def map to be able to "see" the
_following_ function.
### Implementation
This leads us to the final implementation that this PR implements which
is to consider the overloaded functions using:
* Collect all the **function symbols** that are defined **and** called
within the same file. This could potentially be an overloaded function
* Use the public bindings to get the leaf of the overload chain and use
that to get the entire overload chain via `to_overloaded` and perform
the check
This has a limitation that in case a function redefines an overload,
then that overload will not be checked. For example:
```py
from typing import overload
@overload
def f() -> None: ...
@overload
def f(x: int) -> int: ...
# The above overload will not be checked as the below function with the same name
# shadows it
def f(*args: int) -> int: ...
```
## Test Plan
Update existing mdtest and add snapshot diagnostics.
## Summary
@sharkdp and I realised in our 1:1 this morning that our control flow
for `assert` statements isn't quite accurate at the moment. Namely, for
something like this:
```py
def _(x: int | None):
assert x is None, reveal_type(x)
```
we currently reveal `None` for `x` here, but this is incorrect. In
actual fact, the `msg` expression of an `assert` statement (the
expression after the comma) will only be evaluated if the test (`x is
None`) evaluates to `False`. As such, we should be adding a constraint
of `~None` to `x` in the `msg` expression, which should simplify the
inferred type of `x` to `int` in that context (`(int | None) & ~None` ->
`int`).
## Test Plan
Mdtests added.
---------
Co-authored-by: David Peter <mail@david-peter.de>
## Summary
We were previously recording wrong reachability constraints for negative
branches. Instead of `[cond] AND (NOT [True])` below, we were recording
`[cond] AND (NOT ([cond] AND [True]))`, i.e. we were negating not just
the last predicate, but the `AND`-ed reachability constraint from last
clause. With this fix, we now record the correct constraints for the
example from #17723:
```py
def _(cond: bool):
if cond:
# reachability: [cond]
if True:
# reachability: [cond] AND [True]
pass
else:
# reachability: [cond] AND (NOT [True])
x
```
closes#17723
## Test Plan
* Regression test.
* Verified the ecosystem changes
## Summary
Part of #15383, this PR adds `is_equivalent_to` support for overloaded
callables.
This is mainly done by delegating it to the subtyping check in that two
types A and B are considered equivalent if A is a subtype of B and B is
a subtype of A.
## Test Plan
Add test cases for overloaded callables in `is_equivalent_to.md`
## Summary
Includes minor changes to the semantic type inference to help detect the
return type of function call.
Fixes#17691
## Test Plan
Snapshot tests
## Summary
Subtyping was already modeled, but assignability also needs an explicit
branch. Removes 921 ecosystem false positives.
## Test Plan
New Markdown tests.
We are currently representing type variables using a `KnownInstance`
variant, which wraps a `TypeVarInstance` that contains the information
about the typevar (name, bounds, constraints, default type). We were
previously only constructing that type for PEP 695 typevars. This PR
constructs that type for legacy typevars as well.
It also detects functions that are generic because they use legacy
typevars in their parameter list. With the existing logic for inferring
specializations of function calls (#17301), that means that we are
correctly detecting that the definition of `reveal_type` in the typeshed
is generic, and inferring the correct specialization of `_T` for each
call site.
This does not yet handle legacy generic classes; that will come in a
follow-on PR.
A small PR that just updates the various settings/configurations to
allow Python 3.14. At the moment selecting that target version will
have no impact compared to Python 3.13 - except that a warning
is emitted if the user does so with `preview` disabled.
## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Apply auto fixes to cases where the names have changed in Airflow 3 in
AIR302 and split the huge test cases into different test cases based on
proivder
## Test Plan
<!-- How was it tested? -->
the test cases has been split into multiple for easier checking
Summary
--
This PR resolves https://github.com/astral-sh/ruff/issues/9761 by adding
a linter configuration option to disable
`typing_extensions` imports. As mentioned [here], it would be ideal if
we could
detect whether or not `typing_extensions` is available as a dependency
automatically, but this seems like a much easier fix in the meantime.
The default for the new option, `typing-extensions`, is `true`,
preserving the current behavior. Setting it to `false` will bail out of
the new
`Checker::typing_importer` method, which has been refactored from the
`Checker::import_from_typing` method in
https://github.com/astral-sh/ruff/pull/17340),
with `None`, which is then handled specially by each rule that calls it.
I considered some alternatives to a config option, such as checking if
`typing_extensions` has been imported or checking for a `TYPE_CHECKING`
block we could use, but I think defaulting to allowing
`typing_extensions` imports and allowing the user to disable this with
an option is both simple to implement and pretty intuitive.
[here]:
https://github.com/astral-sh/ruff/issues/9761#issuecomment-2790492853
Test Plan
--
New linter tests exercising several combinations of Python versions and
the new config option for PYI019. I also added tests for the other
affected rules, but only in the case where the new config option is
enabled. The rules' existing tests also cover the default case.
This is done in what appears to be the same way as Ruff: we get the CWD,
strip the prefix from the path if possible, and use that. If stripping
the prefix fails, then we print the full path as-is.
Fixes#17233
## Summary
Removes ~850 diagnostics related to assignability of callable types,
where the callable-being-assigned-to has a "Todo signature", which
should probably accept any left hand side callable/signature.
This PR promotes the fix applicability of [readlines-in-for
(FURB129)](https://docs.astral.sh/ruff/rules/readlines-in-for/#readlines-in-for-furb129)
to always safe.
In the original PR (https://github.com/astral-sh/ruff/pull/9880), the
author marked the rule as unsafe because Ruff's type inference couldn't
quite guarantee that we had an `IOBase` object in hand. Some false
positives were recorded in the test fixture. However, before the PR was
merged, Charlie added the necessary type inference and the false
positives went away.
According to the [Python
documentation](https://docs.python.org/3/library/io.html#io.IOBase), I
believe this fix is safe for any proper implementation of `IOBase`:
>[IOBase](https://docs.python.org/3/library/io.html#io.IOBase) (and its
subclasses) supports the iterator protocol, meaning that an
[IOBase](https://docs.python.org/3/library/io.html#io.IOBase) object can
be iterated over yielding the lines in a stream. Lines are defined
slightly differently depending on whether the stream is a binary stream
(yielding bytes), or a text stream (yielding character strings). See
[readline()](https://docs.python.org/3/library/io.html#io.IOBase.readline)
below.
and then in the [documentation for
`readlines`](https://docs.python.org/3/library/io.html#io.IOBase.readlines):
>Read and return a list of lines from the stream. hint can be specified
to control the number of lines read: no more lines will be read if the
total size (in bytes/characters) of all lines so far exceeds hint. [...]
>Note that it’s already possible to iterate on file objects using for
line in file: ... without calling file.readlines().
I believe that a careful reading of our [versioning
policy](https://docs.astral.sh/ruff/versioning/#version-changes)
requires that this change be deferred to a minor release - but please
correct me if I'm wrong!
This PR collects all behavior gated under preview into a new module
`ruff_linter::preview` that exposes functions like
`is_my_new_feature_enabled` - just as is done in the formatter crate.
## Summary
Do not emit errors when defining `TypedDict`s:
```py
from typing_extensions import TypedDict
# No error here
class Person(TypedDict):
name: str
age: int | None
# No error for this alternative syntax
Message = TypedDict("Message", {"id": int, "content": str})
```
## Ecosystem analysis
* Removes ~ 450 false positives for `TypedDict` definitions.
* Changes a few diagnostic messages.
* Adds a few (< 10) false positives, for example:
```diff
+ error[lint:unresolved-attribute]
/tmp/mypy_primer/projects/hydra-zen/src/hydra_zen/structured_configs/_utils.py:262:5:
Type `Literal[DataclassOptions]` has no attribute `__required_keys__`
+ error[lint:unresolved-attribute]
/tmp/mypy_primer/projects/hydra-zen/src/hydra_zen/structured_configs/_utils.py:262:42:
Type `Literal[DataclassOptions]` has no attribute `__optional_keys__`
```
* New true positive
4f8263cd7f/corporate/lib/remote_billing_util.py (L155-L157)
```diff
+ error[lint:invalid-assignment]
/tmp/mypy_primer/projects/zulip/corporate/lib/remote_billing_util.py:155:5:
Object of type `RemoteBillingIdentityDict | LegacyServerIdentityDict |
None` is not assignable to `LegacyServerIdentityDict | None`
```
## Test Plan
New Markdown tests
The PR add the `fix safety` section for rule `RUF027` (#15584 ).
Actually, I have an example of a false positive. Should I include it in
the` fix safety` section?
---------
Co-authored-by: Dylan <dylwil3@gmail.com>
The PR add the fix safety section for rule `FLY002` (#15584 )
The motivation for the content of the fix safety section is given by the
following example
```python
foo = 1
bar = [2, 3]
try:
result_join = " ".join((foo, bar))
print(f"Join result: {result_join}")
except TypeError as e:
print(f"Join error: {e}")
```
which print `Join error: sequence item 0: expected str instance, int
found`
But after the fix is applied, we have
```python
foo = 1
bar = [2, 3]
try:
result_join = f"{foo} {bar}"
print(f"Join result: {result_join}")
except TypeError as e:
print(f"Join error: {e}")
```
which print `Join result: 1 [2, 3]`
---------
Co-authored-by: dylwil3 <dylwil3@gmail.com>
## Summary
This PR add the `fix safety` section for rule `ASYNC116` in
`long_sleep_not_forever.rs` for #15584
---------
Co-authored-by: dylwil3 <dylwil3@gmail.com>
## Summary
I remember we discussed about adding this as a property tests so here I
am.
## Test Plan
```console
❯ QUICKCHECK_TESTS=10000000 cargo test --locked --release --package red_knot_python_semantic -- --ignored types::property_tests::stable::bottom_callable_is_subtype_of_all_fully_static_callable
Finished `release` profile [optimized] target(s) in 0.10s
Running unittests src/lib.rs (target/release/deps/red_knot_python_semantic-e41596ca2dbd0e98)
running 1 test
test types::property_tests::stable::bottom_callable_is_subtype_of_all_fully_static_callable ... ok
test result: ok. 1 passed; 0 failed; 0 ignored; 0 measured; 233 filtered out; finished in 30.91s
```
As discussed today, this is needed to handle legacy generic classes
without having to infer the types of the class's explicit bases eagerly
at class construction time. Pulling this out into a separate PR so
there's a smaller diff to review.
This also makes our representation of generic classes and functions more
consistent — before, we had separate Rust types and enum variants for
generic/non-generic classes, but a single type for generic functions.
Now we each a single (respective) type for each.
There were very few places we were differentiation between generic and
non-generic _class literals_, and these are handled now by calling the
(salsa cached) `generic_context` _accessor function_.
Note that _`ClassType`_ is still an enum with distinct variants for
non-generic classes and specialized generic classes.
## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Add "airflow.operators.python.get_current_context" →
"airflow.sdk.get_current_context" rule
## Test Plan
<!-- How was it tested? -->
the test fixture has been updated accordingly
## Summary
Even though the original suggestion works, they've been removed in later
version and is no longer the best practices.
e.g., many sql realted operators have been removed and are now suggested
to use SQLExecuteQueryOperator instead
## Test Plan
The existing test fixtures have been updated
Previously, we could iterate over files in an unspecified order (via
`HashSet` iteration) and we could accumulate diagnostics from files in
an unspecified order (via parallelism).
Here, we change the status quo so that diagnostics collected from files
are sorted after checking is complete. For now, we sort by severity
(with higher severity diagnostics appearing first) and then by
diagnostic ID to give a stable ordering.
I'm not sure if this is the best ordering.
## Summary
After https://github.com/astral-sh/ruff/pull/17620 (which this PR is
based on), I was looking at other call sites of `Type::into_class_type`,
and I began to feel that _all_ of them were currently buggy due to
silently skipping unspecialized generic class literal types (though in
some cases the bug hadn't shown up yet because we don't understand
legacy generic classes from typeshed), and in every case they would be
better off if an unspecialized generic class literal were implicitly
specialized with the default specialization (which is the usual Python
typing semantics for an unspecialized reference to a generic class),
instead of silently skipped.
So I changed the method to implicitly apply the default specialization,
and added a test that previously failed for detecting metaclasses on an
unspecialized generic base.
I also renamed the method to `to_class_type`, because I feel we have a
strong naming convention where `Type::into_foo` is always a trivial
`const fn` that simply returns `Some()` if the type is of variant `Foo`
and `None` otherwise. Even the existing method (with it handling both
`GenericAlias` and `ClassLiteral`, and distinguishing kinds of
`ClassLiteral`) was stretching this convention, and the new version
definitely breaks that envelope.
## Test Plan
Added a test that failed before this PR.
## Summary
The `ClassLiteralType::inheritance_cycle` method is intended to detect
inheritance cycles that would result in cyclic MROs, emit a diagnostic,
and skip actually trying to create the cyclic MRO, falling back to an
"error" MRO instead with just `Unknown` and `object`.
This method didn't work properly for generic classes. It used
`fully_static_explicit_bases`, which filter-maps `explicit_bases` over
`Type::into_class_type`, which returns `None` for an unspecialized
generic class literal. So in a case like `class C[T](C): ...`, because
the explicit base is an unspecialized generic, we just skipped it, and
failed to detect the class as cyclically defined.
Instead, iterate directly over all `explicit_bases`, and explicitly
handle both the specialized (`GenericAlias`) and unspecialized
(`ClassLiteral`) cases, so that we check all bases and correctly detect
cyclic inheritance.
## Test Plan
Added mdtests.
Summary
--
While going through the syntax errors in [this comment], I was surprised
to see the error `name 'x' is assigned to before global declaration`,
which corresponds to [load-before-global-declaration (PLE0118)] and has
also been reimplemented as a syntax error (#17135). However, it looks
like neither of the implementations consider `global` declarations in
the top-level module scope, which is a syntax error in CPython:
```python
# try.py
x = None
global x
```
```shell
> python -m compileall -f try.py
Compiling 'try.py'...
*** File "try.py", line 2
global x
^^^^^^^^
SyntaxError: name 'x' is assigned to before global declaration
```
I'm not sure this is the best or most elegant solution, but it was a
quick fix that passed all of our tests.
Test Plan
--
New PLE0118 test case.
[this comment]:
https://github.com/astral-sh/ruff/issues/7633#issuecomment-1740424031
[load-before-global-declaration (PLE0118)]:
https://docs.astral.sh/ruff/rules/load-before-global-declaration/#load-before-global-declaration-ple0118
## Summary
Tracked structs have some issues with fixpoint iteration in Salsa, and
there's not actually any need for this to be tracked, it should be
interned like most of our type structs.
The removed comment was probably never correct (in that we could have
disambiguated sufficiently), and is definitely not relevant now that
`TypeVarInstance` also holds its `Definition`.
## Test Plan
Existing tests.
## Summary
This PR adds special-casing for `@final` and `@override` decorator for a
similar reason as https://github.com/astral-sh/ruff/pull/17591 to
support the invalid overload check.
Both `final` and `override` are identity functions which can be removed
once `TypeVar` support is added.
## Summary
As promised, this just adds a TODO comment to document something we
discussed today that should probably be improved at some point, but
isn't a priority right now (since it's an issue that in practice would
only affect generic classes with both `__init__` and `__new__` methods,
where some typevar is bound to `Unknown` in one and to some other type
in another.)
## Summary
Part of #17412
Add a new compile-time syntax error for detecting `nonlocal`
declarations at a module level.
## Test Plan
- Added new inline tests for the syntax error
- Updated existing tests for `nonlocal` statement parsing to be inside a
function scope
Co-authored-by: Brent Westbrook <36778786+ntBre@users.noreply.github.com>
## Summary
While adding semantic error support to red-knot, I noticed duplicate
diagnostics for code like this:
```py
# error: [invalid-syntax] "cannot use an asynchronous comprehension outside of an asynchronous function on Python 3.9 (syntax was added in 3.11)"
# error: [invalid-syntax] "`asynchronous comprehension` outside of an asynchronous function"
[reveal_type(x) async for x in AsyncIterable()]
```
Beyond the duplication, the first error message doesn't make much sense
because this syntax is _not_ allowed on Python 3.11 either.
To fix this, this PR renames the
`async-comprehension-outside-async-function` semantic syntax error to
`async-comprehension-in-sync-comprehension` and fixes the rule to avoid
applying outside of sync comprehensions at all.
## Test Plan
New linter test demonstrating the false positive. The mdtests from my red-knot
PR also reflect this change.
## Summary
This PR updates the `to_overloaded` method to use an iterative approach
instead of a recursive one.
Refer to
https://github.com/astral-sh/ruff/pull/17585#discussion_r2056804587 for
context.
The main benefit here is that it avoids calling the `to_overloaded`
function in a recursive manner which is a salsa query. So, this is a bit
hand wavy but we should also see less memory used because the cache will
only contain a single entry which should be the entire overload chain.
Previously, the recursive approach would mean that each of the function
involved in an overload chain would have a cache entry. This reduce in
memory shouldn't be too much and I haven't looked at the actual data for
it.
## Test Plan
Existing test cases should pass.
This mostly only improves things for incorrect arguments and for an
incorrect return type. It doesn't do much to improve the case where
`__bool__` isn't callable and leaves the union/other cases untouched
completely.
I picked this one because, at first glance, this _looked_ like a lower
hanging fruit. The conceptual improvement here is pretty
straight-forward: add annotations for relevant data. But it took me a
bit to figure out how to connect all of the pieces.
I wanted to use this method in other places, so I moved it
to what appears to be a God-type. I also made it slightly
more versatile: callers can ask for the entire parameter list
by omitting a specific parameter index.
## Summary
Historically we have avoided narrowing on `==` tests because in many
cases it's unsound, since subclasses of a type could compare equal to
who-knows-what. But there are a lot of types (literals and unions of
them, as well as some known instances like `None` -- single-valued
types) whose `__eq__` behavior we know, and which we can safely narrow
away based on equality comparisons.
This PR implements equality narrowing in the cases where it is sound.
The most elegant way to do this (and the way that is most in-line with
our approach up until now) would be to introduce new Type variants
`NeverEqualTo[...]` and `AlwaysEqualTo[...]`, and then implement all
type relations for those variants, narrow by intersection, and let union
and intersection simplification sort it all out. This is analogous to
our existing handling for `AlwaysFalse` and `AlwaysTrue`.
But I'm reluctant to add new `Type` variants for this, mostly because
they could end up un-simplified in some types and make types even more
complex. So let's try this approach, where we handle more of the
narrowing logic as a special case.
## Test Plan
Updated and added tests.
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
Co-authored-by: Carl Meyer <carl@oddbird.net>
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
Another follow-up to the unions-of-large-literals optimization. Restore
the behavior that e.g. `Literal[""] | ~Literal[""]` collapses to
`object`.
## Test Plan
Added mdtests.
## Summary
This is required because otherwise the inferred type is not going to be
`Type::FunctionLiteral` but a todo type because we don't recognize
`TypeVar` yet:
```py
_FuncT = TypeVar("_FuncT", bound=Callable[..., Any])
def abstractmethod(funcobj: _FuncT) -> _FuncT: ...
```
This is mainly required to raise diagnostic when only some (and not all)
`@overload`-ed functions are decorated with `@abstractmethod`.
## Summary
This PR adds a new method `FunctionType::to_overloaded` which converts a
`FunctionType` into an `OverloadedFunction` which contains all the
`@overload`-ed `FunctionType` and the implementation `FunctionType` if
it exists.
There's a big caveat here (it's the way overloads work) which is that
this method can only "see" all the overloads that comes _before_ itself.
Consider the following example:
```py
from typing import overload
@overload
def foo() -> None: ...
@overload
def foo(x: int) -> int: ...
def foo(x: int | None) -> int | None:
return x
```
Here, when the `to_overloaded` method is invoked on the
1. first `foo` definition, it would only contain a single overload which
is itself and no implementation.
2. second `foo` definition, it would contain both overloads and still no
implementation
3. third `foo` definition, it would contain both overloads and the
implementation which is itself
### Usages
This method will be used in the logic for checking invalid overload
usages. It can also be used for #17541.
## Test Plan
Make sure that existing tests pass.
## Summary
This is a first step toward `global` support in red-knot (#15385). I
went through all the matches for `global` in the `mypy/test-data`
directory, but I didn't find anything too interesting that wasn't
already covered by @carljm's suggestions on Discord. I still pulled in a
couple of cases for a little extra variety. I also included a section
from the
[PLE0118](https://docs.astral.sh/ruff/rules/load-before-global-declaration/)
tests in ruff that will become syntax errors once #17463 is merged and
we handle `global` statements.
I don't think I figured out how to use `@Todo` properly, so please let
me know if I need to fix that. I hope this is a good start to the test
suite otherwise.
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
Status
--
This is a pretty minor change, but it was breaking a red-knot mdtest
until #17463 landed. Now this should close#11934 as the last syntax
error being tracked there!
Summary
--
Moves `Parser::validate_parameters` to
`SemanticSyntaxChecker::duplicate_parameter_name`.
Test Plan
--
Existing tests, with `## Errors` replaced with `## Semantic Syntax
Errors`.
We now handle generic constructor methods on generic classes correctly:
```py
class C[T]:
def __init__[S](self, t: T, s: S): ...
x = C(1, "str")
```
Here, constructing `C` requires us to infer a specialization for the
generic contexts of `C` and `__init__` at the same time.
At first I thought I would need to track the full stack of nested
generic contexts here (since the `[S]` context is nested within the
`[T]` context). But I think this is the only way that we might need to
specialize more than one generic context at once — in all other cases, a
containing generic context must be specialized before we get to a nested
one, and so we can just special-case this.
While we're here, we also construct the generic context for a generic
function lazily, when its signature is accessed, instead of eagerly when
inferring the function body.
## Summary
Model assignability of class instances with a `__call__` method to
`Callable` types. This should solve some false positives related to
`functools.partial` (yes, 1098 fewer diagnostics!).
Reference:
https://github.com/astral-sh/ruff/issues/17343#issuecomment-2824618483
## Test Plan
New Markdown tests.
## Summary
Many symbols in typeshed are defined without being declared. For
example:
```pyi
# builtins:
IOError = OSError
# types
LambdaType = FunctionType
NotImplementedType = _NotImplementedType
# typing
Text = str
# random
uniform = _inst.uniform
# optparse
make_option = Option
# all over the place:
_T = TypeVar("_T")
```
Here, we introduce a change that skips widening the public type of these
symbols (by unioning with `Unknown`).
fixes#17032
## Ecosystem analysis
This is difficult to analyze in detail, but I went over most changes and
it looks very favorable to me overall. The diff on the overall numbers
is:
```
errors: 1287 -> 859 (reduction by 428)
warnings: 45 -> 59 (increase by 14)
```
### Removed false positives
`invalid-base` examples:
```diff
- error[lint:invalid-base] /tmp/mypy_primer/projects/pip/src/pip/_vendor/rich/console.py:548:27: Invalid class base with type `Unknown | Literal[_local]` (all bases must be a class, `Any`, `Unknown` or `Todo`)
- error[lint:invalid-base] /tmp/mypy_primer/projects/tornado/tornado/iostream.py:84:25: Invalid class base with type `Unknown | Literal[OSError]` (all bases must be a class, `Any`, `Unknown` or `Todo`)
- error[lint:invalid-base] /tmp/mypy_primer/projects/mitmproxy/test/conftest.py:35:40: Invalid class base with type `Unknown | Literal[_UnixDefaultEventLoopPolicy]` (all bases must be a class, `Any`, `Unknown` or `Todo`)
```
`invalid-exception-caught` examples:
```diff
- error[lint:invalid-exception-caught] /tmp/mypy_primer/projects/cloud-init/cloudinit/cmd/status.py:334:16: Cannot catch object of type `Literal[ProcessExecutionError]` in an exception handler (must be a `BaseException` subclass or a tuple of `BaseException` subclasses)
- error[lint:invalid-exception-caught] /tmp/mypy_primer/projects/jinja/src/jinja2/loaders.py:537:16: Cannot catch object of type `Literal[TemplateNotFound]` in an exception handler (must be a `BaseException` subclass or a tuple of `BaseException` subclasses)
```
`unresolved-reference` examples
7a0265d36e/cloudinit/handlers/jinja_template.py (L120-L123)
(we now understand the `isinstance` narrowing)
```diff
- error[lint:unresolved-attribute] /tmp/mypy_primer/projects/cloud-init/cloudinit/handlers/jinja_template.py:123:16: Type `Exception` has no attribute `errno`
```
`unknown-argument` examples
https://github.com/hauntsaninja/boostedblob/blob/master/boostedblob/request.py#L53
```diff
- error[lint:unknown-argument] /tmp/mypy_primer/projects/boostedblob/boostedblob/request.py:53:17: Argument `connect` does not match any known parameter of bound method `__init__`
```
`unknown-argument`
There are a lot of `__init__`-related changes because we now understand
[`@attr.s`](3d42a6978a/src/attr/__init__.pyi (L387))
as a `@dataclass_transform` annotated symbol. For example:
```diff
- error[lint:unknown-argument] /tmp/mypy_primer/projects/attrs/tests/test_hooks.py:72:18: Argument `x` does not match any known parameter of bound method `__init__`
```
### New false positives
This can happen if a symbol that previously was inferred as `X |
Unknown` was assigned-to, but we don't yet understand the assignability
to `X`:
https://github.com/strawberry-graphql/strawberry/blob/main/strawberry/exceptions/handler.py#L90
```diff
+ error[lint:invalid-assignment] /tmp/mypy_primer/projects/strawberry/strawberry/exceptions/handler.py:90:9: Object of type `def strawberry_threading_exception_handler(args: tuple[type[BaseException], BaseException | None, TracebackType | None, Thread | None]) -> None` is not assignable to attribute `excepthook` of type `(_ExceptHookArgs, /) -> Any`
```
### New true positives
6bbb5519fe/tests/tracer/test_span.py (L714)
```diff
+ error[lint:invalid-argument-type] /tmp/mypy_primer/projects/dd-trace-py/tests/tracer/test_span.py:714:33: Argument to this function is incorrect: Expected `str`, found `Literal[b"\xf0\x9f\xa4\x94"]`
```
### Changed diagnostics
A lot of changed diagnostics because we now show `@Todo(Support for
`typing.TypeVar` instances in type expressions)` instead of `Unknown`
for all kinds of symbols that used a `_T = TypeVar("_T")` as a type. One
prominent example is the `list.__getitem__` method:
`builtins.pyi`:
```pyi
_T = TypeVar("_T") # previously `TypeVar | Unknown`, now just `TypeVar`
# …
class list(MutableSequence[_T]):
# …
@overload
def __getitem__(self, i: SupportsIndex, /) -> _T: ...
# …
```
which causes this change in diagnostics:
```py
xs = [1, 2]
reveal_type(xs[0]) # previously `Unknown`, now `@Todo(Support for `typing.TypeVar` instances in type expressions)`
```
## Test Plan
Updated Markdown tests
## Summary
Apply auto fixes to cases where the names have changed in Airflow 3
## Test Plan
Add `AIR301_names_fix.py` and `AIR301_provider_names_fix.py` test fixtures
This pull request fixes https://github.com/astral-sh/ruff/issues/17014
changes this
```python
from __future__ import annotations
flag1 = True
flag2 = True
if flag1 == True or flag2 == True:
pass
if flag1 == False and flag2 == False:
pass
flag3 = True
if flag1 == flag3 and (flag2 == False or flag3 == True): # Should become: if flag1==flag3 and (not flag2 or flag3)
pass
if flag1 == True and (flag2 == False or not flag3 == True): # Should become: if flag1 and (not flag2 or not flag3)
pass
if flag1 != True and (flag2 != False or not flag3 == True): # Should become: if not flag1 and (flag2 or not flag3)
pass
flag = True
while flag == True: # Should become: while flag
flag = False
flag = True
x = 5
if flag == True and x > 0: # Should become: if flag and x > 0
print("ok")
flag = True
result = "yes" if flag == True else "no" # Should become: result = "yes" if flag else "no"
x = flag == True < 5
x = (flag == True) == False < 5
```
to this
```python
from __future__ import annotations
flag1 = True
flag2 = True
if flag1 or flag2:
pass
if not flag1 and not flag2:
pass
flag3 = True
if flag1 == flag3 and (not flag2 or flag3): # Should become: if flag1 == flag3 and (not flag2 or flag3)
pass
if flag1 and (not flag2 or not flag3): # Should become: if flag1 and (not flag2 or not flag3)
pass
if not flag1 and (flag2 or not flag3): # Should become: if not flag1 and (flag2 or not flag3)
pass
flag = True
while flag: # Should become: while flag
flag = False
flag = True
x = 5
if flag and x > 0: # Should become: if flag and x > 0
print("ok")
flag = True
result = "yes" if flag else "no" # Should become: result = "yes" if flag else "no"
x = flag is True < 5
x = (flag) is False < 5
```
---------
Co-authored-by: Brent Westbrook <36778786+ntBre@users.noreply.github.com>
Summary
--
This PR extends semantic syntax error detection to red-knot. The main
changes here are:
1. Adding `SemanticSyntaxChecker` and `Vec<SemanticSyntaxError>` fields
to the `SemanticIndexBuilder`
2. Calling `SemanticSyntaxChecker::visit_stmt` and `visit_expr` in the
`SemanticIndexBuilder`'s `visit_stmt` and `visit_expr` methods
3. Implementing `SemanticSyntaxContext` for `SemanticIndexBuilder`
4. Adding new mdtests to test the context implementation and show
diagnostics
(3) is definitely the trickiest and required (I think) a minor addition
to the `SemanticIndexBuilder`. I tried to look around for existing code
performing the necessary checks, but I definitely could have missed
something or misused the existing code even when I found it.
There's still one TODO around `global` statement handling. I don't think
there's an existing way to look this up, but I'm happy to work on that
here or in a separate PR. This currently only affects detection of one
error (`LoadBeforeGlobalDeclaration` or
[PLE0118](https://docs.astral.sh/ruff/rules/load-before-global-declaration/)
in ruff), so it's not too big of a problem even if we leave the TODO.
Test Plan
--
New mdtests, as well as new errors for existing mdtests
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
Allow (instances of) subclasses of `Any` and `Unknown` to be assignable
to (instances of) other classes, unless they are final. This allows us
to get rid of ~1000 false positives, mostly when mock-objects like
`unittest.mock.MagicMock` are assigned to various targets.
## Test Plan
Adapted and new Markdown tests.
## Summary
mypy_primer changes included here:
ebaa9fd27b..4c22d192a4
- Add strawberry as a `good.txt` project (was previously included in our
fork)
- Print Red Knot compilation errors to stderr (thanks @MichaReiser)
## Summary
We currently emit a diagnostic for code like the following:
```py
from typing import Any
# error: Invalid class base with type `GenericAlias` (all bases must be a class, `Any`, `Unknown` or `Todo`)
class C(tuple[Any, ...]): ...
```
The changeset here silences this diagnostic by recognizing instances of
`GenericAlias` in `ClassBase::try_from_type`, and inferring a `@Todo`
type for them. This is a change in preparation for #17557, because `C`
previously had `Unknown` in its MRO …
```py
reveal_type(C.__mro__) # tuple[Literal[C], Unknown, Literal[object]]
```
… which would cause us to think that `C` is assignable to everything.
The changeset also removes some false positive `invalid-base`
diagnostics across the ecosystem.
## Test Plan
Updated Markdown tests.
## Summary
Add parentheses to multi-element intersections, when displayed in a
context that's otherwise potentially ambiguous.
## Test Plan
Update mdtest files
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
## Summary
#17451 was incomplete. `AlwaysFalsy` and `AlwaysTruthy` are not the only
two types that are super-types of some literals (of a given kind) and
not others. That set also includes intersections containing
`AlwaysTruthy` or `AlwaysFalsy`, and intersections containing literal
types of the same kind. Cover these cases as well.
Fixes#17478.
## Test Plan
Added mdtests.
`QUICKCHECK_TESTS=1000000 cargo test -p red_knot_python_semantic --
--ignored types::property_tests::stable` failed on both
`all_fully_static_type_pairs_are_subtypes_of_their_union` and
`all_type_pairs_are_assignable_to_their_union` prior to this PR, passes
after it.
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
I gave up trying to do this one lint at a time and just (mostly)
mechanically translated this entire file in one go.
Generally the messages stay the same (with most moving from an
annotation message to the diagnostic's main message). I added a couple
of `info` sub-diagnostics where it seemed to be the obvious intent.
This finishes the migration for the `INVALID_ASSIGNMENT` lint.
Notice how I'm steadily losing steam in terms of actually improving the
diagnostics. This change is more mechanical, because taking the time to
revamp every diagnostic is a ton of effort. Probably future migrations
will be similar unless there are easy pickings.
We mostly keep things the same here, but the message has been moved from
the annotation to the diagnostic's top-line message. I think this is
perhaps a little worse, but some bigger improvements could be made here.
Indeed, we could perhaps even add a "fix" here.
This moves all INVALID_ASSIGNMENT lints related to unpacking over to the new
diagnostic model.
While we're here, we improve the diagnostic a bit by adding a secondary
annotation covering where the value is. We also split apart the original
singular message into one message for the diagnostic and the "expected
versus got" into annotation messages.
This tests the diagnostic rendering of a case that wasn't previously
covered by snapshots: when unpacking fails because there are too few
values, but where the left hand side can tolerate "N or more." In the
code, this is a distinct diagnostic, so we capture it here.
(Sorry about the diff here, but it made sense to rename the other
sections and that changes the name of the snapshot file.)
I believe this was an artifact of an older iteration of the diagnostic
reporting API. But this is strictly not necessary now, and indeed, might
even be annoying. It is okay, but perhaps looks a little odd, to do
`builder.into_diagnostic("...")` if you don't want to add anything else
to the diagnostic.
I suspect this will be used pretty frequently (I wanted it
immediately). And more practically, this avoids needing to
import `Annotation` to create it.
## Summary
I ran red-knot on every project in mypy-primer. I moved every project
where red-knot ran to completion (fast enough, and mypy-primer could
handle its output) into `good.txt`, so it will run in our CI.
The remaining projects I left listed in `bad.txt`, with a comment
summarizing the failure mode (a few don't fail, they are just slow -- on
a debug build, at least -- or output too many diagnostics for
mypy-primer to handle.)
We will now run CI on 109 projects; 34 are left in `bad.txt`.
## Test Plan
CI on this PR!
---------
Co-authored-by: David Peter <mail@david-peter.de>
## Summary
Takes the `good.txt` changes from #17474, and removes the following
projects:
- arrow (not part of mypy_primer upstream)
- freqtrade, hydpy, ibis, pandera, xarray (saw panics locally, all
related to try_metaclass cycles)
Increases the mypy_primer CI run time to ~4 min.
## Test Plan
Three successful CI runs.
## Summary
* Add initial support for `typing.dataclass_transform`
* Support decorating a function decorator with `@dataclass_transform(…)`
(used by `attrs`, `strawberry`)
* Support decorating a metaclass with `@dataclass_transform(…)` (used by
`pydantic`, but doesn't work yet, because we don't seem to model
`__new__` calls correctly?)
* *No* support yet for decorating base classes with
`@dataclass_transform(…)`. I haven't figured out how this even supposed
to work. And haven't seen it being used.
* Add `strawberry` as an ecosystem project, as it makes heavy use of
`@dataclass_transform`
## Test Plan
New Markdown tests
This is an implementation of the discussion from #16719.
This change will allow list function calls to be replaced with
comprehensions:
```python
result = list()
for i in range(3):
result.append(i + 1)
# becomes
result = [i + 1 for i in range(3)]
```
I added a new test to `PERF401.py` to verify that this fix will now work
for `list()`.
## Summary
This PR is a follow-up to #16852.
Instance variables bound in comprehensions are recorded, allowing type
inference to work correctly.
This required adding support for unpacking in comprehension which
resolves https://github.com/astral-sh/ruff/issues/15369.
## Test Plan
One TODO in `mdtest/attributes.md` is now resolved, and some new test
cases are added.
---------
Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
## Summary
If two types are gradually-equivalent, that means they share the same
set of possible materializations. There's no need to keep two such types
in the same union or intersection; we should simplify them.
Fixes https://github.com/astral-sh/ruff/issues/17465
The one downside here is that now we will simplify e.g. `Unknown |
Todo(...)` to just `Unknown`, if `Unknown` was added to the union first.
This is correct from a type perspective (they are equivalent types), but
it can mean we lose visibility into part of the cause for the type
inferring as unknown. I think this is OK, but if we think it's important
to avoid this, I can add a special case to try to preserve `Todo` over
`Unknown`, if we see them both in the same union or intersection.
## Test Plan
Added and updated mdtests.
## Summary
The long line of projects in `mypy_primer.yaml` is hard to work with
when adding projects or checking whether they are currently run. Use a
one-per-line text file instead.
## Test Plan
Ecosystem check on this PR.
## Summary
add fix safety section to replace_stdout_stderr and
super_call_with_parameters, for #15584
I checked the behavior and found that these two files could only
potentially delete the appended comments, so I submitted them as a PR.
The PR fixes#16457 .
Specifically, `FURB161` is marked safe, but the rule generates safe
fixes only in specific cases. Therefore, we attempt to mark the fix as
unsafe when we are not in one of these cases.
For instances, the fix is marked as aunsafe just in case of strings (as
pointed out in the issue). Let me know if I should change something.
---------
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
## Summary
Member lookup can be cyclic, with type inference of implicit members. A
sample case is shown in the added mdtest.
There's no clear way to handle such cases other than to fixpoint-iterate
the cycle.
Fixes#17457.
## Test Plan
Added test.
## Summary
This change adds an auto-fix for manual dict comprehensions. It also
copies many of the improvements from #13919 (and associated PRs fixing
issues with it), and moves some of the utility functions from
`manual_list_comprehension.rs` into a separate `helpers.rs` to be used
in both.
## Test Plan
I added a preview test case to showcase the new fix and added a test
case in `PERF403.py` to make sure lines with semicolons function. I
didn't yet make similar tests to the ones I added earlier to
`PERF401.py`, but the logic is the same, so it might be good to add
those to make sure they work.
You can now use subscript expressions in a type expression to explicitly
specialize generic classes, just like you could already do in value
expressions.
This still does not implement bidirectional checking, so a type
annotation on an assignment does not influence how we infer a
specialization for a (not explicitly specialized) constructor call. You
might get an `invalid-assignment` error if (a) we cannot infer a class
specialization from the constructor call (in which case you end up e.g.
trying to assign `C[Unknown]` to `C[int]`) or if (b) we can infer a
specialization, but it doesn't match the annotation.
Closes https://github.com/astral-sh/ruff/issues/17432
## Summary
There was some narrowing constraints not covered from the previous PR
```py
def _(x: object):
if (type(y := x)) is bool:
reveal_type(y) # revealed: bool
```
Also, refactored a bit
## Test Plan
Update type_api.md
In #17403 I added a comment asserting that all same-kind literal types
share all the same super-types. This is true, with two notable
exceptions: the types `AlwaysTruthy` and `AlwaysFalsy`. These two types
are super-types of some literal types within a given kind and not
others: `Literal[0]`, `Literal[""]`, and `Literal[b""]` inhabit
`AlwaysFalsy`, while other literals inhabit `AlwaysTruthy`.
This PR updates the literal-unions optimization to handle these types
correctly.
Fixes https://github.com/astral-sh/ruff/issues/17447
Verified locally that `QUICKCHECK_TESTS=100000 cargo test -p
red_knot_python_semantic -- --ignored types::property_tests::stable` now
passes again.
## Summary
Fixes#17147.
This was landed in #17149 and then reverted in #17335 because it caused
cycle panics in checking pybind11. #17456 fixed the cause of that panic.
## Test Plan
Add new narrow/assert.md test file
Co-authored-by: Matthew Mckee <matthewmckee04@yahoo.co.uk>
## Summary
We were over-conflating the conditions for deferred name resolution.
`from __future__ import annotations` defers annotations, but not class
bases. In stub files, class bases are also deferred. Modeling this
correctly also reduces likelihood of cycles in Python files using `from
__future__ import annotations` (since deferred resolution is inherently
cycle-prone). The same cycles are still possible in `.pyi` files, but
much less likely, since typically there isn't anything in a `pyi` file
that would cause an early return from a scope, or otherwise cause
visibility constraints to persist to end of scope. Usually there is only
code at module global scope and class scope, which can't have `return`
statements, and `raise` or `assert` statements in a stub file would be
very strange. (Technically according to the spec we'd be within our
rights to just forbid a whole bunch of syntax outright in a stub file,
but I kinda like minimizing unnecessary differences between the handling
of Python files and stub files.)
## Test Plan
Added mdtests.
## Summary
Part of #15383, this PR adds support for overloaded callables.
Typing spec: https://typing.python.org/en/latest/spec/overload.html
Specifically, it does the following:
1. Update the `FunctionType::signature` method to return signatures from
a possibly overloaded callable using a new `FunctionSignature` enum
2. Update `CallableType` to accommodate overloaded callable by updating
the inner type to `Box<[Signature]>`
3. Update the relation methods on `CallableType` with logic specific to
overloads
4. Update the display of callable type to display a list of signatures
enclosed by parenthesis
5. Update `CallableTypeOf` special form to recognize overloaded callable
6. Update subtyping, assignability and fully static check to account for
callables (equivalence is planned to be done as a follow-up)
For (2), it is required to be done in this PR because otherwise I'd need
to add some workaround for `into_callable_type` and I though it would be
best to include it in here.
For (2), another possible design would be convert `CallableType` in an
enum with two variants `CallableType::Single` and
`CallableType::Overload` but I decided to go with `Box<[Signature]>` for
now to (a) mirror it to be equivalent to `overload` field on
`CallableSignature` and (b) to avoid any refactor in this PR. This could
be done in a follow-up to better split the two kind of callables.
### Design
There were two main candidates on how to represent the overloaded
definition:
1. To include it in the existing infrastructure which is what this PR is
doing by recognizing all the signatures within the
`FunctionType::signature` method
2. To create a new `Overload` type variant
<details><summary>For context, this is what I had in mind with the new
type variant:</summary>
<p>
```rs
pub enum Type {
FunctionLiteral(FunctionType),
Overload(OverloadType),
BoundMethod(BoundMethodType),
...
}
pub struct OverloadType {
// FunctionLiteral or BoundMethod
overloads: Box<[Type]>,
// FunctionLiteral or BoundMethod
implementation: Option<Type>
}
pub struct BoundMethodType {
kind: BoundMethodKind,
self_instance: Type,
}
pub enum BoundMethodKind {
Function(FunctionType),
Overload(OverloadType),
}
```
</p>
</details>
The main reasons to choose (1) are the simplicity in the implementation,
reusing the existing infrastructure, avoiding any complications that the
new type variant has specifically around the different variants between
function and methods which would require the overload type to use `Type`
instead.
### Implementation
The core logic is how to collect all the overloaded functions. The way
this is done in this PR is by recording a **use** on the `Identifier`
node that represents the function name in the use-def map. This is then
used to fetch the previous symbol using the same name. This way the
signatures are going to be propagated from top to bottom (from first
overload to the final overload or the implementation) with each function
/ method. For example:
```py
from typing import overload
@overload
def foo(x: int) -> int: ...
@overload
def foo(x: str) -> str: ...
def foo(x: int | str) -> int | str:
return x
```
Here, each definition of `foo` knows about all the signatures that comes
before itself. So, the first overload would only see itself, the second
would see the first and itself and so on until the implementation or the
final overload.
This approach required some updates specifically recognizing
`Identifier` node to record the function use because it doesn't use
`ExprName`.
## Test Plan
Update existing test cases which were limited by the overload support
and add test cases for the following cases:
* Valid overloads as functions, methods, generics, version specific
* Invalid overloads as stated in
https://typing.python.org/en/latest/spec/overload.html#invalid-overload-definitions
(implementation will be done in a follow-up)
* Various relation: fully static, subtyping, and assignability (others
in a follow-up)
## Ecosystem changes
_WIP_
After going through the ecosystem changes (there are a lot!), here's
what I've found:
We need assignability check between a callable type and a class literal
because a lot of builtins are defined as classes in typeshed whose
constructor method is overloaded e.g., `map`, `sorted`, `list.sort`,
`max`, `min` with the `key` parameter, `collections.abc.defaultdict`,
etc. (https://github.com/astral-sh/ruff/issues/17343). This makes up
most of the ecosystem diff **roughly 70 diagnostics**. For example:
```py
from collections import defaultdict
# red-knot: No overload of bound method `__init__` matches arguments [lint:no-matching-overload]
defaultdict(int)
# red-knot: No overload of bound method `__init__` matches arguments [lint:no-matching-overload]
defaultdict(list)
class Foo:
def __init__(self, x: int):
self.x = x
# red-knot: No overload of function `__new__` matches arguments [lint:no-matching-overload]
map(Foo, ["a", "b", "c"])
```
Duplicate diagnostics in unpacking
(https://github.com/astral-sh/ruff/issues/16514) has **~16
diagnostics**.
Support for the `callable` builtin which requires `TypeIs` support. This
is **5 diagnostics**. For example:
```py
from typing import Any
def _(x: Any | None) -> None:
if callable(x):
# red-knot: `Any | None`
# Pyright: `(...) -> object`
# mypy: `Any`
# pyrefly: `(...) -> object`
reveal_type(x)
```
Narrowing on `assert` which has **11 diagnostics**. This is being worked
on in https://github.com/astral-sh/ruff/pull/17345. For example:
```py
import re
match = re.search("", "")
assert match
match.group() # error: [possibly-unbound-attribute]
```
Others:
* `Self`: 2
* Type aliases: 6
* Generics: 3
* Protocols: 13
* Unpacking in comprehension: 1
(https://github.com/astral-sh/ruff/pull/17396)
## Performance
Refer to
https://github.com/astral-sh/ruff/pull/17366#issuecomment-2814053046.
## Summary
Add more narrowing analysis for match statements:
* add narrowing constraints from guard expressions
* add negated constraints from previous predicates and guards to
subsequent cases
This PR doesn't address that guards can mutate your subject, and so
theoretically invalidate some of these narrowing constraints that you've
previously accumulated. Some prior art on this issue [here][mutable
guards].
[mutable guards]:
https://www.irif.fr/~scherer/research/mutable-patterns/mutable-patterns-mlworkshop2024-abstract.pdf
## Test Plan
Add some new tests, and update some existing ones
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
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## Summary
Fixes#14866Fixes#17437
## Test Plan
Update mdtests in `narrow/`
## Summary
Prevent overcommit by using max 4 threads as intended.
Unintuitively, `.max()` returns the maximum value of `self` and the
argument (not limiting to the argument). To limit the value to 4, one
needs to use `.min()`.
https://doc.rust-lang.org/std/cmp/trait.Ord.html#method.max
## Summary
This PR extends version-related syntax error detection to red-knot. The
main changes here are:
1. Passing `ParseOptions` specifying a `PythonVersion` to parser calls
2. Adding a `python_version` method to the `Db` trait to make this
possible
3. Converting `UnsupportedSyntaxError`s to `Diagnostic`s
4. Updating existing mdtests to avoid unrelated syntax errors
My initial draft of (1) and (2) in #16090 instead tried passing a
`PythonVersion` down to every parser call, but @MichaReiser suggested
the `Db` approach instead
[here](https://github.com/astral-sh/ruff/pull/16090#discussion_r1969198407),
and I think it turned out much nicer.
All of the new `python_version` methods look like this:
```rust
fn python_version(&self) -> ruff_python_ast::PythonVersion {
Program::get(self).python_version(self)
}
```
with the exception of the `TestDb` in `ruff_db`, which hard-codes
`PythonVersion::latest()`.
## Test Plan
Existing mdtests, plus a new mdtest to see at least one of the new
diagnostics.
add fix safety section to docs for #15584, I'm new to ruff and not sure
if the content of this PR is correct, but I hope it can be helpful.
---------
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
## Summary
part of: #15655
I tried generating the source order function using code generation. I
tried a simple approach, but it is not enough to generate all of them
this way.
There is one good thing, that most of the implementations are fine with
this. We only have a few that are not. So one benefit of this PR could
be it eliminates a lot of the code, hence changing the AST structure
will only leave a few places to be fixed.
The `source_order` field determines if a node requires a source order
implementation. If it’s empty it means source order does not visit
anything.
Initially I didn’t want to repeat the field names. But I found two
things:
- `ExprIf` statement unlike other statements does not have the fields
defined in source order. This and also some fields do not need to be
included in the visit. So we just need a way to determine order, and
determine presence.
- Relying on the fields sounds more complicated to me. Maybe another
solution is to add a new attribute `order` to each field? I'm open to
suggestions.
But anyway, except for the `ExprIf` we don't need to write the field
names in order. Just knowing what fields must be visited are enough.
Some nodes had a more complex visitor:
`ExprCompare` required zipping two fields.
`ExprBoolOp` required a match over the fields.
`FstringValue` required a match, I created a new walk_ function that
does the match. and used it in code generation. I don’t think this
provides real value. Because I mostly moved the code from one file to
another. I was tried it as an option. I prefer to leave it in the code
as before.
Some visitors visit a slice of items. Others visit a single element. I
put a check on this in code generation to see if the field requires a
for loop or not. I think better approach is to have a consistent style.
So we can by default loop over any field that is a sequence.
For field types `StringLiteralValue` and `BytesLiteralValue` the types
are not a sequence in toml definition. But they implement `iter` so they
are iterated over. So the code generation does not properly identify
this. So in the code I'm checking for their types.
## Test Plan
All the tests should pass without any changes.
I checked the generated code to make sure it's the same as old code. I'm
not sure if there's a test for the source order visitor.
## Summary
This changeset allows us to generate the signature of synthesized
`__init__` functions in dataclasses by analyzing the fields on the class
(and its superclasses). There are certain things that I have not yet
attempted to model in this PR, like `kw_only`,
[`dataclasses.KW_ONLY`](https://docs.python.org/3/library/dataclasses.html#dataclasses.KW_ONLY)
or functionality around
[`dataclasses.field`](https://docs.python.org/3/library/dataclasses.html#dataclasses.field).
ticket: https://github.com/astral-sh/ruff/issues/16651
## Ecosystem analysis
These two seem to depend on missing features in generics (see [relevant
code
here](9898ccbb78/tests/core/test_generics.py (L54))):
> ```diff
> + error[lint:unknown-argument]
/tmp/mypy_primer/projects/dacite/tests/core/test_generics.py:54:24:
Argument `x` does not match any known parameter
> + error[lint:unknown-argument]
/tmp/mypy_primer/projects/dacite/tests/core/test_generics.py:54:38:
Argument `y` does not match any known parameter
> ```
These two are true positives. See [relevant code
here](9898ccbb78/tests/core/test_config.py (L154-L161)).
> ```diff
> + error[lint:invalid-argument-type]
/tmp/mypy_primer/projects/dacite/tests/core/test_config.py:161:24:
Argument to this function is incorrect: Expected `int`, found
`Literal["test"]`
> + error[lint:invalid-argument-type]
/tmp/mypy_primer/projects/dacite/tests/core/test_config.py:172:24:
Argument to this function is incorrect: Expected `int | float`, found
`Literal["test"]`
> ```
This one depends on `**` unpacking of dictionaries, which we don't
support yet:
> ```diff
> + error[lint:missing-argument]
/tmp/mypy_primer/projects/mypy_primer/mypy_primer/globals.py:218:11: No
arguments provided for required parameters `new`, `old`, `repo`,
`type_checker`, `mypyc_compile_level`, `custom_typeshed_repo`,
`new_typeshed`, `old_typeshed`, `new_prepend_path`, `old_prepend_path`,
`additional_flags`, `project_selector`, `known_dependency_selector`,
`local_project`, `expected_success`, `project_date`, `shard_index`,
`num_shards`, `output`, `old_success`, `coverage`, `bisect`,
`bisect_output`, `validate_expected_success`,
`measure_project_runtimes`, `concurrency`, `base_dir`, `debug`, `clear`
> ```
## Test Plan
New Markdown tests.
## Summary
Support dataclasses with `order=True`:
```py
@dataclass(order=True)
class WithOrder:
x: int
WithOrder(1) < WithOrder(2) # no error
```
Also adds some additional tests to `dataclasses.md`.
ticket: #16651
## Test Plan
New Markdown tests
This PR adds **_very_** basic inference of generic typevars at call
sites. It does not bring in a full unification algorithm, and there are
a few TODOs in the test suite that are not discharged by this. But it
handles a good number of useful cases! And the PR does not add anything
that would go away with a more sophisticated constraint solver.
In short, we just look for typevars in the formal parameters, and assume
that the inferred type of the corresponding argument is what that
typevar should map to. If a typevar appears more than once, we union
together the corresponding argument types.
Cases we are not yet handling:
- We are not widening literals.
- We are not recursing into parameters that are themselves generic
aliases.
- We are not being very clever with parameters that are union types.
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
Co-authored-by: Carl Meyer <carl@astral.sh>
## Summary
This is similar to https://github.com/astral-sh/ruff/pull/17095, it adds
assignability check for bound methods to callables.
## Test Plan
Add test cases to for assignability; specifically it uses gradual types
because otherwise it would just delegate to `is_subtype_of`.
## Summary
closes#16615
This PR includes:
- Introduces a new type: `Type::BoundSuper`
- Implements member lookup for `Type::BoundSuper`, resolving attributes
by traversing the MRO starting from the specified class
- Adds support for inferring appropriate arguments (`pivot_class` and
`owner`) for `super()` when it is used without arguments
When `super(..)` appears in code, it can be inferred into one of the
following:
- `Type::Unknown`: when a runtime error would occur (e.g. calling
`super()` out of method scope, or when parameter validation inside
`super` fails)
- `KnownClass::Super::to_instance()`: when the result is an *unbound
super object* or when a dynamic type is used as parameters (MRO
traversing is meaningless)
- `Type::BoundSuper`: the common case, representing a properly
constructed `super` instance that is ready for MRO traversal and
attribute resolution
### Terminology
Python defines the terms *bound super object* and *unbound super
object*.
An **unbound super object** is created when `super` is called with only
one argument (e.g.
`super(A)`). This object may later be bound via the `super.__get__`
method. However, this form is rarely used in practice.
A **bound super object** is created either by calling
`super(pivot_class, owner)` or by using the implicit form `super()`,
where both arguments are inferred from the context. This is the most
common usage.
### Follow-ups
- Add diagnostics for `super()` calls that would result in runtime
errors (marked as TODO)
- Add property tests for `Type::BoundSuper`
## Test Plan
- Added `mdtest/class/super.md`
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
* Extend the following AIR311 rules
* `airflow.io.path.ObjectStoragePath` → `airflow.sdk.ObjectStoragePath`
* `airflow.io.storage.attach` → `airflow.sdk.io.attach`
* `airflow.models.dag.DAG` → `airflow.sdk.DAG`
* `airflow.models.DAG` → `airflow.sdk.DAG`
* `airflow.decorators.dag` → `airflow.sdk.dag`
* `airflow.decorators.task` → `airflow.sdk.task`
* `airflow.decorators.task_group` → `airflow.sdk.task_group`
* `airflow.decorators.setup` → `airflow.sdk.setup`
* `airflow.decorators.teardown` → `airflow.sdk.teardown`
## Test Plan
<!-- How was it tested? -->
The test case has been added to the button of the existing test
fixtures, confirmed to be correct and later reorgnaized
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
As discussed in
https://github.com/astral-sh/ruff/issues/14626#issuecomment-2766146129,
we're to separate suggested changes from required changes.
The following symbols have been moved to AIR311 from AIR301. They still
work in Airflow 3.0, but they're suggested to be changed as they're
expected to be removed in a future version.
* arguments
* `airflow..DAG | dag`
* `sla_miss_callback`
* operators
* `sla`
* name
* `airflow.Dataset] | [airflow.datasets.Dataset` → `airflow.sdk.Asset`
* `airflow.datasets, rest @ ..`
* `DatasetAlias` → `airflow.sdk.AssetAlias`
* `DatasetAll` → `airflow.sdk.AssetAll`
* `DatasetAny` → `airflow.sdk.AssetAny`
* `expand_alias_to_datasets` → `airflow.sdk.expand_alias_to_assets`
* `metadata.Metadata` → `airflow.sdk.Metadata`
<!--airflow.models.baseoperator-->
* `airflow.models.baseoperator.chain` → `airflow.sdk.chain`
* `airflow.models.baseoperator.chain_linear` →
`airflow.sdk.chain_linear`
* `airflow.models.baseoperator.cross_downstream` →
`airflow.sdk.cross_downstream`
* `airflow.models.baseoperatorlink.BaseOperatorLink` →
`airflow.sdk.definitions.baseoperatorlink.BaseOperatorLink`
* `airflow.timetables, rest @ ..`
* `datasets.DatasetOrTimeSchedule` → *
`airflow.timetables.assets.AssetOrTimeSchedule`
* `airflow.utils, rest @ ..`
<!--airflow.utils.dag_parsing_context-->
* `dag_parsing_context.get_parsing_context` →
`airflow.sdk.get_parsing_context`
## Test Plan
<!-- How was it tested? -->
The test fixture has been updated acccordingly
## Summary
Until we optimize our full union/intersection representation to
efficiently handle large numbers of same-kind literal types "as a
block", set a fairly low limit on the size of unions of literals.
We will want to increase this limit once we've made the broader
efficiency improvement (tracked in
https://github.com/astral-sh/ruff/issues/17420).
## Test Plan
`cargo bench --bench red_knot`
## Summary
Now that we've made the large-unions benchmark fast, let's make it slow
again!
This adds a following operation (checking `len`) on the large union,
which is slow, even though building the large union is now fast. (This
is also observed in a real-world code sample.) It's slow because for
every element of the union, we fetch its `__len__` method and check it
for compatibility with `Sized`.
We can make this fast by extending the grouped-types approach, as
discussed in https://github.com/astral-sh/ruff/pull/17403, so that we
can do this `__len__` operation (which is identical for every literal
string) just once for all literal strings, instead of once per literal
string type in the union.
Until we do that, we can make this acceptably fast again for now by
setting a lowish limit on union size, which we can increase in the
future when we make it fast. This is what I'll do in the next PR.
## Test Plan
`cargo bench --bench red_knot`
## Summary
Special-case literal types in `UnionBuilder` to speed up building large
unions of literals.
This optimization is extremely effective at speeding up building even a
very large union (it improves the large-unions benchmark by 41x!). The
problem we can run into is that it is easy to then run into another
operation on the very large union (for instance, narrowing may add it to
an intersection, which then distributes it over the intersection) which
is still slow.
I think it is possible to avoid this by extending this optimized
"grouped" representation throughout not just `UnionBuilder`, but all of
our union and intersection representations. I have some work in this
direction, but rather than spending more time on it right now, I'd
rather just land this much, along with a limit on the size of these
unions (to avoid building really big unions quickly and then hitting
issues where they are used.)
## Test Plan
Existing tests and benchmarks.
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
Fixes incorrect negated type eq and ne assertions in
infer_binary_intersection_type_comparison
fixes#17360
## Test Plan
Remove and update some now incorrect tests
This reworks the assignability/subtyping relations a bit to handle
typevars better:
1. For the most part, types are not assignable to typevars, since
there's no guarantee what type the typevar will be specialized to.
2. An intersection is an exception, if it contains the typevar itself as
one of the positive elements. This should fall out from the other
clauses automatically, since a typevar is assignable to itself, and an
intersection is assignable to something if any positive element is
assignable to that something.
3. Constrained typevars are an exception, since they must be specialized
to _exactly_ one of the constraints, not to a _subtype_ of a constraint.
If a type is assignable to every constraint, then the type is also
assignable to the constrained typevar.
We already had a special case for (3), but the ordering of it relative
to the intersection clauses meant we weren't catching (2) correctly. To
fix this, we keep the special case for (3), but fall through to the
other match arms for non-constrained typevars and if the special case
isn't true for a constrained typevar.
Closes https://github.com/astral-sh/ruff/issues/17364
## Summary
This PR fixes a bug in the lexer specifically around line continuation
character at end of file.
The reason this was occurring is because the lexer wouldn't check for
EOL _after_ consuming the escaped newline but only if the EOL was right
after the line continuation character.
fixes: #17398
## Test Plan
Add tests for the scenarios where this should occur mainly (a) when the
state is `AfterNewline` and (b) when the state is `Other`.
## Summary
closes#17215
This PR adds regression tests for the following cycled queries:
- all_narrowing_constraints_for_expression
- all_negative_narrowing_constraints_for_expression
The following test files are included:
-
`red_knot_project/resources/test/corpus/cycle_narrowing_constraints.py`
-
`red_knot_project/resources/test/corpus/cycle_negative_narrowing_constraints.py`
These test names don't follow the existing naming convention based on
Cinder.
However, I’ve chosen these names to clearly reflect the regression
cases.
Let me know if you’d prefer to align more closely with the existing
Cinder-based style.
## Test Plan
```sh
git checkout 1a6a10b30
cargo test --package red_knot_project -- corpus
```
We weren't really using `chrono` for anything other than getting the
current time and formatting it for logs.
Unfortunately, this doesn't quite get us to a point where `chrono`
can be removed. From what I can tell, we're still bringing it via
[`tracing-subscriber`](https://docs.rs/tracing-subscriber/latest/tracing_subscriber/)
and
[`quick-junit`](https://docs.rs/quick-junit/latest/quick_junit/).
`tracing-subscriber` does have an
[issue open about Jiff](https://github.com/tokio-rs/tracing/discussions/3128),
but there's no movement on it.
Normally I'd suggest holding off on this since it doesn't get us all of
the way there and it would be better to avoid bringing in two datetime
libraries, but we are, it appears, already there. In particular,
`env_logger` brings in Jiff. So this PR doesn't really make anything
worse, but it does bring us closer to an all-Jiff world.
## Summary
Add very early support for dataclasses. This is mostly to make sure that
we do not emit false positives on dataclass construction, but it also
lies some foundations for future extensions.
This seems like a good initial step to merge to me, as it basically
removes all false positives on dataclass constructor calls. This allows
us to use the ecosystem checks for making sure we don't introduce new
false positives as we continue to work on dataclasses.
## Ecosystem analysis
I re-ran the mypy_primer evaluation of [the `__init__`
PR](https://github.com/astral-sh/ruff/pull/16512) locally with our
current mypy_primer version and project selection. It introduced 1597
new diagnostics. Filtering those by searching for `__init__` and
rejecting those that contain `invalid-argument-type` (those could not
possibly be solved by this PR) leaves 1281 diagnostics. The current
version of this PR removes 1171 diagnostics, which leaves 110
unaccounted for. I extracted the lint + file path for all of these
diagnostics and generated a diff (of diffs), to see which
`__init__`-diagnostics remain. I looked at a subset of these: There are
a lot of `SomeClass(*args)` calls where we don't understand the
unpacking yet (this is not even related to `__init__`). Some others are
related to `NamedTuple`, which we also don't support yet. And then there
are some errors related to `@attrs.define`-decorated classes, which
would probably require support for `dataclass_transform`, which I made
no attempt to include in this PR.
## Test Plan
New Markdown tests.
## Summary
* Partial #17238
* Flyby from discord discussion - `todo_type!` now statically checks for
no parens in the message to avoid issues between debug & release build
tests
## Test Plan
many mdtests are changing
## Summary
This PR moves all the relation methods from `CallableType` to
`Signature`.
The main reason for this is that `Signature` is going to be the common
denominator between normal and overloaded callables and the core logic
to check a certain relationship is going to just require the information
that would exists on `Signature`. For example, to check whether an
overloaded callable is a subtype of a normal callable, we need to check
whether _every_ overloaded signature is a subtype of the normal
callable's signature. This "every" logic would become part of the
`CallableType` and the core logic of checking the subtyping would exists
on `Signature`.
Summary
--
This PR implements detecting the use of `await` expressions outside of
async functions. This is a reimplementation of
[await-outside-async
(PLE1142)](https://docs.astral.sh/ruff/rules/await-outside-async/) as a
semantic syntax error.
Despite the rule name, PLE1142 also applies to `async for` and `async
with`, so these are covered here too.
Test Plan
--
Existing PLE1142 tests.
I also deleted more code from the `SemanticSyntaxCheckerVisitor` to
avoid changes in other parser tests.
## Summary
Allows us to establish that two literals do not have a subtype
relationship with each other, without having to fallback to a typeshed
Instance type, which is comparatively slow.
Improves the performance of the many-string-literals union benchmark by
5x.
## Test Plan
`cargo test -p red_knot_python_semantic` and `cargo bench --bench
red_knot`.
## Summary
Add a benchmark for a large-union case that currently has exponential
blow-up in execution time.
## Test Plan
`cargo bench --bench red_knot`
## Summary
This is mainly a follow-up from
https://github.com/astral-sh/ruff/pull/17357 to use the
`concise_message` method for the red-knot server which I noticed
recently while testing the overload implementation.
This commit shuffles the reporting API around a little bit such that a
range is required, up front, when reporting a lint diagnostic. This in
turn enables us to make suppression checking eager.
In order to avoid callers needing to provide the range twice, we create
a primary annotation *without* a message inside the `Diagnostic`
encapsulated by the guard. We do this instead of requiring the message
up front because we're concerned about API complexity and the effort
involved in creating the message.
In order to provide a means of attaching a message to the primary
annotation, we expose a convenience API on `LintDiagnosticGuard` for
setting the message. This isn't generally possible for a `Diagnostic`,
but since a `LintDiagnosticGuard` knows how the `Diagnostic` was
constructed, we can offer this API correctly.
It strikes me that it might be easy to forget to attach a primary
annotation message, btu I think this the "least" bad failure mode. And
in particular, it should be somewhat obvious that it's missing once one
adds a snapshot test for how the diagnostic renders.
Otherwise, this API gives us the ability to eagerly check whether a
diagnostic should be reported with nearly minimal information. It also
shouldn't have any footguns since it guarantees that the primary
annotation is tied to the file in the typing context. And it keeps
things pretty simple: callers only need to provide what is actually
strictly necessary to make a diagnostic.
This will enable us to provide an API on `LintDiagnosticGuard` for
setting the primary annotation message. It will require an `unwrap()`,
but due to how `LintDiagnosticGuard` will build a `Diagnostic`, this
`unwrap()` will be guaranteed to succeed. (And it won't bubble out to
every user of `LintDiagnosticGuard`.)
This is the payoff from removing a bit of indirection. The types still
exist, but now callers don't need to do builder -> reporter ->
diagnostic. They can just conceptually think of it as builder ->
diagnostic.
We're going to make the guards deref to `Diagnostic` in order to remove
a layer of indirection in the reporter API. (Well, technically the layer
is not removed since the types still exist, but in actual _usage_ the
layer will be removed. We'll see how it shakes out in the next commit.)
This expands the set of types accepted for diagnostic messages. Instead
of only `std::fmt::Display` impls, we now *also* accept a concrete
`DiagnosticMessage`.
This will be useful to avoid unnecessary copies of every single
diagnostic message created via `InferContext::report_lint`. (I'll call
out how this helps in a subsequent commit.)
## Summary
Infer precise Boolean literal types for `str.startswith` calls where the
instance and the prefix are both string literals. This allows us to
understand `sys.platform.startswith(…)` branches.
## Test Plan
New Markdown tests
Summary
--
This PR reimplements [yield-outside-function
(F704)](https://docs.astral.sh/ruff/rules/yield-outside-function/) as a
semantic syntax error. Despite the name, this rule covers `yield from`
and `await` in addition to `yield`.
Test Plan
--
New linter tests, along with the existing F704 test.
---------
Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
Summary
--
This PR replaces uses of version-dependent imports from `typing` or
`typing_extensions` with a centralized `Checker::import_from_typing`
method.
The idea here is to make the fix for #9761 (whatever it ends up being)
applicable to all of the rules performing similar checks.
Test Plan
--
Existing tests for the affected rules.
## Summary
For silencing `invalid-type-form` diagnostics in unreachable code, we
use the same approach that we use before and check the reachability that
we already record.
For silencing `invalid-bases`, we simply check if the type of the base
is `Never`. If so, we silence the diagnostic with the argument that the
class construction would never happen.
## Test Plan
Updated Markdown tests.
## Summary
Similar to what we did for `unresolved-reference` and
`unresolved-attribute`, we now also silence `unresolved-import`
diagnostics if the corresponding `import` statement is unreachable.
This addresses the (already closed) issue #17049.
## Test Plan
Adapted Markdown tests.
I added this accessor because tests want it, but we can also use it in
other places internally. It's a little nicer because it does the
`as_deref()` for you.
This finally completes the deletion of all old diagnostic types.
We do this by migrating the second (and last) use of secondary
diagnostic messages: to highlight the return type of a function
definition when its return value is inconsistent with the type.
Like the last diagnostic, we do actually change the message here a bit.
We don't need a sub-diagnostic here, and we can instead just add a
secondary annotation to highlight the return type.
This is the first use of the new `lint()` reporter.
I somewhat skipped a step here and also modified the actual diagnostic
message itself. The snapshots should tell the story.
We couldn't do this before because we had no way of differentiating
between "message for the diagnostic as a whole" and "message for a
specific code annotation." Now we can, so we can write more precise
messages based on the assumption that users are also seeing the code
snippet.
The downside here is that the actual message text can become quite vague
in the absence of the code snippet. This occurs, for example, with
concise diagnostic formatting. It's unclear if we should do anything
about it. I don't really see a way to make it better that doesn't
involve creating diagnostics with messages for each mode, which I think
would be a major PITA.
The upside is that this code gets a bit simpler, and we very
specifically avoid doing extra work if this specific lint is disabled.
This required a bit of surgery in the diagnostic matching and more
faffing about using a "concise" message from a diagnostic instead of
only printing the "primary" message.
In the new diagnostic data model, we really should have a main
diagnostic message *and* a primary span (with an optional message
attached to it) for every diagnostic.
In this commit, I try to make this true for the "revealed type"
diagnostic. Instead of the annotation saying both "revealed type is"
and also the revealed type itself, the annotation is now just the
revealed type and the main diagnostic message is "Revealed type."
I expect this may be controversial. I'm open to doing something
different. I tried to avoid redundancy, but maybe this is a special case
where we want the redundancy. I'm honestly not sure. I do *like* how it
looks with this commit, but I'm not working with Red Knot's type
checking daily, so my opinion doesn't count for much.
This did also require some tweaking to concise diagnostic formatting in
order to preserve the essential information.
This commit doesn't update every relevant snapshot. Just a few. I split
the rest out into the next commit.
... and replace it with use of `report()`.
Interestingly, this is the only instance of `report_diagnostic` used
directly, and thus anticipated to be the only instance of using
`report()`. If this ends up being a true single use method, we could
make it less generic and tailored specifically to "reveal type."
Two other things to note:
I left the "primary message" as empty. This avoids changing snapshots.
I address this in a subsequent commit.
The creation of a diagnostic here is a bit verbose/annoying. Certainly
more so than it was. This is somewhat expected since our diagnostic
model is more expressive and because we don't have a proc macro. I
avoided creating helpers for this case since there's only one use of
`report()`. But I expect to create helpers for the `lint()` case.
This is a surgical change that adds new `report()` and `lint()`
APIs to `InferContext`. These are intended to replace the existing
`report_*` APIs.
The comments should explain what these reporters are meant to do. For
the most part, this is "just" shuffling some code around. The actual
logic for determining whether a lint *should* be reported or not remains
unchanged and we don't make any changes to how a `Diagnostic` is
actually constructed (yet).
I initially tried to just use `LintReporter` and `DiagnosticReporter`
without the builder types, since I perceive the builder types to be an
annoying additional layer. But I found it also exceedingly annoying to
have to construct and provide the diagnostic message before you even
know if you are going to build the diagnostic. I also felt like this
could result in potentially unnecessary and costly querying in some
cases, although this is somewhat hand wavy. So I overall felt like the
builder route was the way to go. If the builders end up being super
annoying, we can probably add convenience APIs for common patterns to
paper over them.
## Summary
Basically just repeat the same thing that we did for
`unresolved-reference`, but now for attribute expressions.
We now also handle the case where the unresolved attribute (or the
unresolved reference) diagnostic originates from a stringified type
annotation.
And I made the evaluation of reachability constraints lazy (will only be
evaluated right before we are about to emit a diagnostic).
## Test Plan
New Markdown tests for stringified annotations.
I merged #17149 without checking the ecosystem results, and it still
caused a cycle panic in pybind11. Reverting for now until I fix that, so
we don't lose the ecosystem signal on other PRs.
This causes spurious query cycles.
This PR also includes an update to Salsa, which gives us db events on
cycle iteration, so we can write tests asserting the absence of a cycle.
## Summary
Track the reachability of nested scopes within their parent scopes. We
use this as an additional requirement for emitting
`unresolved-reference` diagnostics (and in the future,
`unresolved-attribute` and `unresolved-import`). This means that we only
emit `unresolved-reference` for a given use of a symbol if the use
itself is reachable (within its own scope), *and if the scope itself is
reachable*. For example, no diagnostic should be emitted for the use of
`x` here:
```py
if False:
x = 1
def f():
print(x) # this use of `x` is reachable inside the `f` scope,
# but the whole `f` scope is not reachable.
```
There are probably more fine-grained ways of solving this problem, but
they require a more sophisticated understanding of nested scopes (see
#15777, in particular
https://github.com/astral-sh/ruff/issues/15777#issuecomment-2788950267).
But it doesn't seem completely unreasonable to silence *this specific
kind of error* in unreachable scopes.
## Test Plan
Observed changes in reachability tests and ecosystem.
## Summary
Update Salsa to pull in https://github.com/salsa-rs/salsa/pull/788 which
fixes the, by now, famous *access to field whilst the value is being
initialized*.
This PR also re-enables all tests that previously triggered the panic.
## Test Plan
`cargo test`
## Summary
There is a new official URL for the typing documentation:
https://typing.python.org/
Change all https://typing.readthedocs.io/ links to use the new sub
domain, which is slightly shorter and looks more official.
## Test Plan
Tested to see if each and every new URL is accessible. I noticed that
some links go to https://typing.python.org/en/latest/source/stubs.html
which seems to be outdated, but that is a separate issue. The same page
shows up for the old URL.
## Summary
Based on the discussion in
https://github.com/astral-sh/ruff/pull/17298#discussion_r2033975460, we
decided to move the scope handling out of the `SemanticSyntaxChecker`
and into the `SemanticSyntaxContext` trait. This PR implements that
refactor by:
- Reverting all of the `Checkpoint` and `in_async_context` code in the
`SemanticSyntaxChecker`
- Adding four new methods to the `SemanticSyntaxContext` trait
- `in_async_context`: matches `SemanticModel::in_async_context` and only
detects the nearest enclosing function
- `in_sync_comprehension`: uses the new `is_async` tracking on
`Generator` scopes to detect any enclosing sync comprehension
- `in_module_scope`: reports whether we're at the top-level scope
- `in_notebook`: reports whether we're in a Jupyter notebook
- In-lining the `TestContext` directly into the
`SemanticSyntaxCheckerVisitor`
- This allows modifying the context as the visitor traverses the AST,
which wasn't possible before
One potential question here is "why not add a single method returning a
`Scope` or `Scopes` to the context?" The main reason is that the `Scope`
type is defined in the `ruff_python_semantic` crate, which is not
currently a dependency of the parser. It also doesn't appear to be used
in red-knot. So it seemed best to use these more granular methods
instead of trying to access `Scope` in `ruff_python_parser` (and
red-knot).
## Test Plan
Existing parser and linter tests.
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## Summary
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attribute check was missing in the previous implementation
e.g.
```python
from airflow.api.auth.backend import basic_auth
basic_auth.auth_current_user
```
This PR adds this kind of check.
## Test Plan
<!-- How was it tested? -->
The test case has been added to the button of the existing test
fixtures, confirmed to be correct and later reorgnaized
Summary
--
This PR extends the documentation of the `LoadBeforeGlobalDeclaration`
check to specify the behavior on versions of Python before 3.13. Namely,
on Python 3.12, the `else` clause of a `try` statement is visited before
the `except` handlers:
```pycon
Python 3.12.9 (main, Feb 12 2025, 14:50:50) [Clang 19.1.6 ] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> a = 10
>>> def g():
... try:
... 1 / 0
... except:
... a = 1
... else:
... global a
...
>>> def f():
... try:
... pass
... except:
... global a
... else:
... print(a)
...
File "<stdin>", line 5
SyntaxError: name 'a' is used prior to global declaration
```
The order is swapped on 3.13 (see
[CPython#111123](https://github.com/python/cpython/issues/111123)):
```pycon
Python 3.13.2 (main, Feb 5 2025, 08:05:21) [GCC 14.2.1 20250128] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> a = 10
... def g():
... try:
... 1 / 0
... except:
... a = 1
... else:
... global a
...
File "<python-input-0>", line 8
global a
^^^^^^^^
SyntaxError: name 'a' is assigned to before global declaration
>>> def f():
... try:
... pass
... except:
... global a
... else:
... print(a)
...
>>>
```
The current implementation of PLE0118 is correct for 3.13 but not 3.12:
[playground](https://play.ruff.rs/d7467ea6-f546-4a76-828f-8e6b800694c9)
(it flags the first case regardless of Python version).
We decided to maintain this incorrect diagnostic for Python versions
before 3.13 because the pre-3.13 behavior is very unintuitive and
confirmed to be a bug, although the bug fix was not backported to
earlier versions. This can lead to false positives and false negatives
for pre-3.13 code, but we also expect that to be very rare, as
demonstrated by the ecosystem check (before the version-dependent check
was reverted here).
Test Plan
--
N/a
This PR lets you explicitly specialize a generic class using a subscript
expression. It introduces three new Rust types for representing classes:
- `NonGenericClass`
- `GenericClass` (not specialized)
- `GenericAlias` (specialized)
and two enum wrappers:
- `ClassType` (a non-generic class or generic alias, represents a class
_type_ at runtime)
- `ClassLiteralType` (a non-generic class or generic class, represents a
class body in the AST)
We also add internal support for specializing callables, in particular
function literals. (That is, the internal `Type` representation now
attaches an optional specialization to a function literal.) This is used
in this PR for the methods of a generic class, but should also give us
most of what we need for specializing generic _functions_ (which this PR
does not yet tackle).
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
Co-authored-by: Carl Meyer <carl@astral.sh>
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
* Simplify match conditions in AIR301
* Fix
* `airflow.datasets.manager.DatasetManager` →
`airflow.assets.manager.AssetManager`
* `airflow.www.auth.has_access_dataset` →
`airflow.www.auth.has_access_dataset`
## Test Plan
<!-- How was it tested? -->
The test fixture has been updated accordingly
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
As discussed in
https://github.com/astral-sh/ruff/issues/14626#issuecomment-2766146129,
we're to separate suggested changes from required changes.
The following symbols has been moved to AIR312 from AIR302. They still
work in Airflow 3.0, but they're suggested to be changed as they're
expected to be removed in future version
```python
from airflow.hooks.filesystem import FSHook
from airflow.hooks.package_index import PackageIndexHook
from airflow.hooks.subprocess import (SubprocessHook, SubprocessResult, working_directory)
from airflow.operators.bash import BashOperator
from airflow.operators.datetime import BranchDateTimeOperator, target_times_as_dates
from airflow.operators.trigger_dagrun import TriggerDagRunLink, TriggerDagRunOperator
from airflow.operators.empty import EmptyOperator
from airflow.operators.latest_only import LatestOnlyOperator
from airflow.operators.python import (BranchPythonOperator, PythonOperator, PythonVirtualenvOperator, ShortCircuitOperator)
from airflow.operators.weekday import BranchDayOfWeekOperator
from airflow.sensors.date_time import DateTimeSensor, DateTimeSensorAsync
from airflow.sensors.external_task import ExternalTaskMarker, ExternalTaskSensor, ExternalTaskSensorLink
from airflow.sensors.filesystem import FileSensor
from airflow.sensors.time_sensor import TimeSensor, TimeSensorAsync
from airflow.sensors.time_delta import TimeDeltaSensor, TimeDeltaSensorAsync, WaitSensor
from airflow.sensors.weekday import DayOfWeekSensor
from airflow.triggers.external_task import DagStateTrigger, WorkflowTrigger
from airflow.triggers.file import FileTrigger
from airflow.triggers.temporal import DateTimeTrigger, TimeDeltaTrigger
```
## Test Plan
<!-- How was it tested? -->
The test fixture has been updated acccordingly
---------
Co-authored-by: Brent Westbrook <36778786+ntBre@users.noreply.github.com>
## Summary
As discussed in https://github.com/astral-sh/ruff/issues/16983 and
"mitigate" said issue for the alpha.
This PR changes the default for `PythonPlatform` to be the current
platform rather than `all`.
I'm not sure if we should be as sophisticated as supporting `ios` and
`android` as defaults but it was easy...
## Test Plan
Updated Markdown tests.
---------
Co-authored-by: David Peter <mail@david-peter.de>
## Summary
This is a new test case that I don't know how to handle yet. It leads to
many false positives in `rich/tests/test_win32_console.py`, which does
something like:
```py
if sys.platform == "win32":
from windows_only_module import some_symbol
some_other_symbol = 1
def some_test_case():
use(some_symbol) # Red Knot: unresolved-reference
use(some_other_symbol) # Red Knot: unresolved-reference
```
Also adds a test for using unreachable symbols in type annotations or as
class bases.
## Summary
* Addresses #16511 for simple cases where only `__init__` method is
bound on class or doesn't exist at all.
* fixes a bug with argument counting in bound method diagnostics
Caveats:
* No handling of `__new__` or modified `__call__` on metaclass.
* This leads to a couple of false positive errors in tests
## Test Plan
- A couple new cases in mdtests
- cargo nextest run -p red_knot_python_semantic --no-fail-fast
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
Co-authored-by: David Peter <sharkdp@users.noreply.github.com>
This fix closes#16868
I noticed the issue is assigned, but the assignee appears to be actively
working on another pull request. I hope that’s okay!
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
As of Python 3.11.1, `enum.auto()` can be used in multiple assignments.
This pattern should not trigger non-unique-enums check.
Reference: [Python docs on
enum.auto()](https://docs.python.org/3/library/enum.html#enum.auto)
This fix updates the check logic to skip enum variant statements where
the right-hand side is a tuple containing a call to `enum.auto()`.
## Test Plan
<!-- How was it tested? -->
The added test case uses the example from the original issue. It
previously triggered a false positive, but now passes successfully.
Summary
--
Detect async comprehensions nested in sync comprehensions in async
functions before Python 3.11, when this was [changed].
The actual logic of this rule is very straightforward, but properly
tracking the async scopes took a bit of work. An alternative to the
current approach is to offload the `in_async_context` check into the
`SemanticSyntaxContext` trait, but that actually required much more
extensive changes to the `TestContext` and also to ruff's semantic
model, as you can see in the changes up to
31554b473507034735bd410760fde6341d54a050. This version has the benefit
of mostly centralizing the state tracking in `SemanticSyntaxChecker`,
although there was some subtlety around deferred function body traversal
that made the changes to `Checker` more intrusive too (hence the new
linter test).
The `Checkpoint` struct/system is obviously overkill for now since it's
only tracking a single `bool`, but I thought it might be more useful
later.
[changed]: https://github.com/python/cpython/issues/77527
Test Plan
--
New inline tests and a new linter integration test.
## Summary
### Improvement
Expand the following moved module into individual symbols.
* airflow.triggers.temporal
* airflow.triggers.file
* airflow.triggers.external_task
* airflow.hooks.subprocess
* airflow.hooks.package_index
* airflow.hooks.filesystem
* airflow.sensors.weekday
* airflow.sensors.time_delta
* airflow.sensors.time_sensor
* airflow.sensors.date_time
* airflow.operators.weekday
* airflow.operators.datetime
* airflow.operators.bash
This removes `Replacement::ImportPathMoved`.
## Fix
During the expansion, the following paths were also fixed
* airflow.sensors.s3_key_sensor.S3KeySensor →
airflow.providers.amazon.aws.sensors.S3KeySensor
* airflow.operators.sql.SQLThresholdCheckOperator →
airflow.providers.common.sql.operators.sql.SQLThresholdCheckOperator
* airflow.hooks.druid_hook.DruidDbApiHook →
airflow.providers.apache.druid.hooks.druid.DruidDbApiHook
* airflow.hooks.druid_hook.DruidHook →
airflow.providers.apache.druid.hooks.druid.DruidHook
* airflow.kubernetes.pod_generator.extend_object_field →
airflow.providers.cncf.kubernetes.pod_generator.extend_object_field
* airflow.kubernetes.pod_launcher.PodLauncher →
airflow.providers.cncf.kubernetes.pod_launcher_deprecated.PodLauncher
* airflow.kubernetes.pod_launcher.PodStatus →
airflow.providers.cncf.kubernetes.pod_launcher_deprecated.PodStatus
* airflow.kubernetes.pod_generator.PodDefaults →
airflow.providers.cncf.kubernetes.pod_generator.PodDefaults
* airflow.kubernetes.pod_launcher_deprecated.PodDefaults →
airflow.providers.cncf.kubernetes.pod_launcher_deprecated.PodDefaults
### Refactor
As many symbols are moved into the same module,
`SourceModuleMovedToProvider` is introduced for grouping similar logic
## Test Plan
Summary
--
This PR extends the checks in #17101 and #17282 to annotated assignments
after Python 3.13.
Currently stacked on #17282 to include `await`.
Test Plan
--
New inline tests. These are simpler than the other cases because there's
no place to put generics.
Summary
--
This PR extends the changes in #17101 to include `await` in the same
positions.
I also renamed the `valid_annotation_function` test to include `_py313`
and explicitly passed a Python version to contrast it with the `_py314`
version.
Test Plan
--
New test cases added to existing files.
## Summary
We already have partial "support" for `assert_never`, because it is
annotated as
```pyi
def assert_never(arg: Never, /) -> Never: ...
```
in typeshed. So we already emit a `invalid-argument-type` diagnostic if
the argument type to `assert_never` is not assignable to `Never`.
That is not enough, however. Gradual types like `Any`, `Unknown`,
`@Todo(…)` or `Any & int` can be assignable to `Never`. Which means that
we didn't issue any diagnostic in those cases.
Also, it seems like `assert_never` deserves a dedicated diagnostic
message, not just a generic "invalid argument type" error.
## Test Plan
New Markdown tests.
This fix closes#17026
## Summary
The check for the `PytestRaisesTooBroad` rule is now skipped if there is
a second positional argument present, which means `pytest.raises` is
used as a function.
## Test Plan
Tested on the example from the issue, which now passes the check.
```Python3
pytest.raises(Exception, func, *func_args, **func_kwargs).match("error message")
```
---------
Co-authored-by: Micha Reiser <micha@reiser.io>
## Summary
Resolves#17289.
After this change, Red Knot will no longer show types on hover for
`None`, `...`, `True`, `False`, numbers, strings (but not f-strings),
and bytes literals.
## Test Plan
Unit tests.
## Summary
This implements a new approach to silencing `unresolved-reference`
diagnostics by keeping track of the reachability of each use of a
symbol. The changes merged in
https://github.com/astral-sh/ruff/pull/17169 are still needed for the
"Use of variable in nested function" test case, but that could also be
solved in another way eventually (see
https://github.com/astral-sh/ruff/issues/15777). We can use the same
technique to silence `unresolved-import` and `unresolved-attribute`
false-positives, but I think this could be merged in isolation.
## Test Plan
New Markdown tests, ecosystem tests
## Summary
The priority latency-sensitive is reserved for actions that need to run
immediately because they would otherwise block the user's action. An
example of this is a format request. VS code blocks the editor until the
save action is complete. That's why formatting a document is very
sensitive to delays and it's important that we always have a worker
thread available to run a format request *immediately*. Another example
are code completions, where it's important that they appear immediately
when the user types.
On the other hand, showing diagnostics, hover, or inlay hints has high
priority but users are used that the editor takes a few ms to compute
the overlay.
Computing this information can also be expensive (e.g. find all
references), blocking the worker for quiet some time (a few 100ms).
That's why it's important
that those requests don't clog the sensitive worker threads.
Closes#17042
## Summary
This PR fixes the issue outlined in #17042 where RUF100 (unused-noqa)
fails to detect unused file-level noqa directives (`# ruff: noqa` or `#
ruff: noqa: {code}`).
The issue stems from two underlying causes:
1. For blanket file-level directives (`# ruff: noqa`), there's a
circular dependency: the directive exempts all rules including RUF100
itself, which prevents checking for usage. This isn't changed by this
PR. I would argue it is intendend behavior - a blanket `# ruff: noqa`
directive should exempt all rules including RUF100 itself.
2. For code-specific file-level directives (e.g. `# ruff: noqa: F841`),
the handling was missing in the `check_noqa` function. This is added in
this PR.
## Notes
- For file-level directives, the `matches` array is pre-populated with
the specified codes during parsing, unlike line-level directives which
only populate their `matches` array when actually suppressing
diagnostics. This difference requires the somewhat clunky handling of
both cases. I would appreciate guidance on a cleaner design :)
- A more fundamental solution would be to change how file-level
directives initialize the `matches` array in
`FileNoqaDirectives::extract()`, but that requires more substantial
changes as it breaks existing functionality. I suspect discussions in
#16483 are relevant for this.
## Test Plan
- Local verification
- Added a test case and fixture
## Summary
Some of the migration rules has been changed during Airflow 3
development. The following are new AIR302 rules. Corresponding AIR301
has also been removed.
* airflow.sensors.external_task_sensor.ExternalTaskMarker →
airflow.providers.standard.sensors.external_task.ExternalTaskMarker
* airflow.sensors.external_task_sensor.ExternalTaskSensor →
airflow.providers.standard.sensors.external_task.ExternalTaskSensor
* airflow.sensors.external_task_sensor.ExternalTaskSensorLink →
airflow.providers.standard.sensors.external_task.ExternalTaskSensorLink
* airflow.sensors.time_delta_sensor.TimeDeltaSensor →
airflow.providers.standard.sensors.time_delta.TimeDeltaSensor
* airflow.operators.dagrun_operator.TriggerDagRunLink →
airflow.providers.standard.operators.trigger_dagrun.TriggerDagRunLink
* airflow.operators.dagrun_operator.TriggerDagRunOperator →
airflow.providers.standard.operators.trigger_dagrun.TriggerDagRunOperator
* airflow.operators.python_operator.BranchPythonOperator →
airflow.providers.standard.operators.python.BranchPythonOperator
* airflow.operators.python_operator.PythonOperator →
airflow.providers.standard.operators.python.PythonOperator
* airflow.operators.python_operator.PythonVirtualenvOperator →
airflow.providers.standard.operators.python.PythonVirtualenvOperator
* airflow.operators.python_operator.ShortCircuitOperator →
airflow.providers.standard.operators.python.ShortCircuitOperator
* airflow.operators.latest_only_operator.LatestOnlyOperator →
airflow.providers.standard.operators.latest_only.LatestOnlyOperator
* airflow.sensors.date_time_sensor.DateTimeSensor →
airflow.providers.standard.sensors.DateTimeSensor
* airflow.operators.email_operator.EmailOperator →
airflow.providers.smtp.operators.smtp.EmailOperator
* airflow.operators.email.EmailOperator →
airflow.providers.smtp.operators.smtp.EmailOperator
* airflow.operators.bash.BashOperator →
airflow.providers.standard.operators.bash.BashOperator
* airflow.operators.EmptyOperator →
airflow.providers.standard.operators.empty.EmptyOperator
closes: https://github.com/astral-sh/ruff/issues/17103
## Test Plan
The test fixture has been updated and checked after each change and
later reorganized in the latest commit
## Summary
This PR adds support for stub packages, except for partial stub packages
(a stub package is always considered non-partial).
I read the specification at
[typing.python.org/en/latest/spec/distributing.html#stub-only-packages](https://typing.python.org/en/latest/spec/distributing.html#stub-only-packages)
but I found it lacking some details, especially on how to handle
namespace packages or when the regular and stub packages disagree on
whether they're namespace packages. I tried to document my decisions in
the mdtests where the specification isn't clear and compared the
behavior to Pyright.
Mypy seems to only support stub packages in the venv folder. At least,
it never picked up my stub packages otherwise. I decided not to spend
too much time fighting mypyp, which is why I focused the comparison
around Pyright
Closes https://github.com/astral-sh/ruff/issues/16612
## Test plan
Added mdtests
## Summary
Some more edge cases that I thought of while working on integrating
knowledge of statically known branches into the `*`-import machinery
## Test Plan
`cargo test -p red_knot_python_semantic`
## Summary
Use more local `expect(dead_code)` suppressions instead of a global
`allow(dead_code)` in `lib.rs`.
Remove some methods that are either easy to add later, are less likely
to be needed for red knot, or it's unclear if we'd add it the same way
as in ruff.
## Summary
This PR does the following things:
- Fixes the `python` configuration setting for mdtest (added in
https://github.com/astral-sh/ruff/pull/17221) so that it expects a path
pointing to a venv's `sys.prefix` variable rather than the a path
pointing to the venv's `site-packages` subdirectory. This brings the
`python` setting in mdtest in sync with our CLI `--python` flag.
- Tweaks mdtest so that it automatically creates a valid `pyvenv.cfg`
file for you if you don't specify one. This makes it much more ergonomic
to write an mdtest with a custom `python` setting: red-knot will reject
a `python` setting that points to a directory that doesn't have a
`pyvenv.cfg` file in it
- Tweaks mdtest so that it doesn't check a custom `pyvenv.cfg` as Python
source code if you _do_ add a custom `pyvenv.cfg` file for your mock
virtual environment in an mdtest. (You get a lot of diagnostics about
Python syntax errors in the `pyvenv.cfg` file, otherwise!)
- Rewrites the test added in
https://github.com/astral-sh/ruff/pull/17178 as an mdtest, and deletes
the original test that was added in that PR
## Test Plan
I verified that the new mdtest fails if I revert the changes to
`resolver.rs` that were added in
https://github.com/astral-sh/ruff/pull/17178
## Summary
This PR extends the mdtest options to allow setting the
`environment.python` option.
## Test Plan
I let @AlexWaygood write a test and he'll tell me if it works 😆
## Summary
This PR fixes the cycle issue that was causing problems in the `support
super` PR.
### Affected queries
- `all_narrowing_constraints_for_expression`
- `all_negative_narrowing_constraints_for_expression`
--
Additionally, `bidict` and `werkzeug` have been added to the
project-selection list in `mypy_primer`.
This PR also addresses the panics that occurred while analyzing those
packages:
- `bidict`: panic triggered by
`all_narrowing_constraints_for_expression`
- `werkzeug`: panic triggered by
`all_negative_narrowing_constraints_for_expression`
I think the mypy-primer results for this PR can serve as sufficient test
:)
Summary
--
This PR fixes the issue pointed out by @JelleZijlstra in
https://github.com/astral-sh/ruff/pull/17101#issuecomment-2777480204.
Namely, I conflated two very different errors from CPython:
```pycon
>>> def m[T](x: (yield from 1)): ...
File "<python-input-310>", line 1
def m[T](x: (yield from 1)): ...
^^^^^^^^^^^^
SyntaxError: yield expression cannot be used within the definition of a generic
>>> def m(x: (yield from 1)): ...
File "<python-input-311>", line 1
def m(x: (yield from 1)): ...
^^^^^^^^^^^^
SyntaxError: 'yield from' outside function
>>> def outer():
... def m(x: (yield from 1)): ...
...
>>>
```
I thought the second error was the same as the first, but `yield` (and
`yield from`) is actually valid in this position when inside a function
scope. The same is true for base classes, as pointed out in the original
comment.
We don't currently raise an error for `yield` outside of a function, but
that should be handled separately.
On the upside, this had the benefit of removing the
`InvalidExpressionPosition::BaseClass` variant and the
`allow_named_expr` field from the visitor because they were both no
longer used.
Test Plan
--
Updated inline tests.
Fixes: #17196
## Summary
Skipping these nodes for malformed type expressions would lead to
incorrect semantic state, which can in turn mean we emit false positives
for rules like `unused-variable`(`F841`)
## Test Plan
`cargo nextest run`
## Summary
This is a follow up to the goto type definition PR. Specifically, that
we want to avoid exposing too many semantic model internals publicly.
I want to get some feedback on the approach taken. I think it goes into
the right direction but I'm not super happy with it.
The basic idea is that we add a `Type::definition` method which does the
"goto type definition". The parts that I think make it awkward:
* We can't directly return `Definition` because we don't create a
`Definition` for modules (but we could?). Although I think it makes
sense to possibly have a more public wrapper type anyway?
* It doesn't handle unions and intersections. Mainly because not all
elements in an intersection may have a definition and we only want to
show a navigation target for intersections if there's only a single
positive element (besides maybe `Unknown`).
An alternative design or an addition to this design is to introduce a
`SemanticAnalysis(Db)` struct that has methods like
`type_definition(&self, type)` which explicitly exposes the methods we
want. I don't feel comfortable design this API yet because it's unclear
how fine granular it has to be (and if it is very fine granular,
directly using `Type` might be better after all)
## Test Plan
`cargo test`
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Closes#17084
## Summary
This PR adds a new rule (RUF102) to detect and fix invalid rule codes in
`noqa` comments.
Invalid rule codes in `noqa` directives serve no purpose and may
indicate outdated code suppressions.
This extends the previous behaviour originating from
`crates/ruff_linter/src/noqa.rs` which would only emit a warnigs.
With this rule a `--fix` is available.
The rule:
1. Analyzes all `noqa` directives to identify invalid rule codes
2. Provides autofix functionality to:
- Remove the entire comment if all codes are invalid
- Remove only the invalid codes when mixed with valid codes
3. Preserves original comment formatting and whitespace where possible
Example cases:
- `# noqa: XYZ111` → Remove entire comment (keep empty line)
- `# noqa: XYZ222, XYZ333` → Remove entire comment (keep empty line)
- `# noqa: F401, INVALID123` → Keep only valid codes (`# noqa: F401`)
## Test Plan
- Added tests in
`crates/ruff_linter/resources/test/fixtures/ruff/RUF102.py` covering
different example cases.
<!-- How was it tested? -->
## Notes
- This does not handle cases where parsing fails. E.g. `# noqa:
NON_EXISTENT, ANOTHER_INVALID` causes a `LexicalError` and the
diagnostic is not propagated and we cannot handle the diagnostic. I am
also unsure what proper `fix` handling would be and making the user
aware we don't understand the codes is probably the best bet.
- The rule is added to the Preview rule group as it's a new addition
## Questions
- Should we remove the warnings, now that we have a rule?
- Is the current fix behavior appropriate for all cases, particularly
the handling of whitespace and line deletions?
- I'm new to the codebase; let me know if there are rule utilities which
could have used but didn't.
---------
Co-authored-by: Micha Reiser <micha@reiser.io>
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