## Summary
This PR adds a new `Type::TypedDict` variant. Before this PR, we treated
`TypedDict`-based types as dynamic Todo-types, and I originally planned
to make this change a no-op. And we do in fact still treat that new
variant similar to a dynamic type when it comes to type properties such
as assignability and subtyping. But then I somehow tricked myself into
implementing some of the things correctly, so here we are. The two main
behavioral changes are: (1) we now also detect generic `TypedDict`s,
which removes a few false positives in the ecosystem, and (2) we now
support *attribute* access (not key-based indexing!) on these types,
i.e. we infer proper types for something like
`MyTypedDict.__required_keys__`. Nothing exciting yet, but gets the
infrastructure into place.
Note that with this PR, the type of (the type) `MyTypedDict` itself is
still represented as a `Type::ClassLiteral` or `Type::GenericAlias` (in
case `MyTypedDict` is generic). Only inhabitants of `MyTypedDict`
(instances of `dict` at runtime) are represented by `Type::TypedDict`.
We may want to revisit this decision in the future, if this turns out to
be too error-prone. Right now, we need to use `.is_typed_dict(db)` in
all the right places to distinguish between actual (generic) classes and
`TypedDict`s. But so far, it seemed unnecessary to add additional `Type`
variants for these as well.
part of https://github.com/astral-sh/ty/issues/154
## Ecosystem impact
The new diagnostics on `cloud-init` look like true positives to me.
## Test Plan
Updated and new Markdown tests
## Summary
This is a follow-up to #19321.
Narrowing constraints introduced in a class scope were not applied even
when they can be applied in lazy nested scopes. This PR fixes so that
they are now applied.
Conversely, there were cases where narrowing constraints were being
applied in places where they should not, so it is also fixed.
## Test Plan
Some TODOs in `narrow/conditionals/nested.md` are now work correctly.
## Summary
This is a follow-up to #19321.
If we try to access a class variable before it is defined, the variable
is looked up in the global scope, rather than in any enclosing scopes.
Closes https://github.com/astral-sh/ty/issues/875.
## Test Plan
New tests in `narrow/conditionals/nested.md`.
## Summary
This PR enhances the `BLE001` rule to correctly detect blind exception
handling in tuple exceptions. Previously, the rule only checked single
exception types, but Python allows catching multiple exceptions using
tuples like `except (Exception, ValueError):`.
## Test Plan
It fails the following (whereas the main branch does not):
```bash
cargo run -p ruff -- check somefile.py --no-cache --select=BLE001
```
```python
# somefile.py
try:
1/0
except (ValueError, Exception) as e:
print(e)
```
```
somefile.py:3:21: BLE001 Do not catch blind exception: `Exception`
|
1 | try:
2 | 1/0
3 | except (ValueError, Exception) as e:
| ^^^^^^^^^ BLE001
4 | print(e)
|
Found 1 error.
```
## Summary
Support `as` patterns in reachability analysis:
```py
from typing import assert_never
def f(subject: str | int):
match subject:
case int() as x:
pass
case str():
pass
case _:
assert_never(subject) # would previously emit an error
```
Note that we still don't support inferring correct types for the bound
name (`x`).
Closes https://github.com/astral-sh/ty/issues/928
## Test Plan
New Markdown tests
## Summary
This PR reduces the virality of some of the `Todo` types in
`infer_tuple_type_expression`. Rather than inferring `Todo`, we instead
infer `tuple[Todo, ...]`. This reflects the fact that whatever the
contents of the slice in a `tuple[]` type expression, we would always
infer some kind of tuple type as the result of the type expression. Any
tuple type should be assignable to `tuple[Todo, ...]`, so this shouldn't
introduce any new false positives; this can be seen in the ecosystem
report.
As a result of the change, we are now able to enforce in the signature
of `Type::infer_tuple_type_expression` that it returns an
`Option<TupleType<'db>>`, which is more strongly typed and expresses
clearly the invariant that a tuple type expression should always be
inferred as a `tuple` type. To enable this, it was necessary to refactor
several `TupleType` constructors in `tuple.rs` so that they return
`Option<TupleType>` rather than `Type`; this means that callers of these
constructor functions are now free to either propagate the
`Option<TupleType<'db>>` or convert it to a `Type<'db>`.
## Test Plan
Mdtests updated.
## Summary
When splitting triple-quoted, raw strings one has to take care before attempting to make each item have single-quotes.
Fixes#19577
---------
Co-authored-by: dylwil3 <dylwil3@gmail.com>
This is subtle, and the root cause became more apparent with #19604,
since we now have many more cases of superclasses and subclasses using
different typevars. The issue is easiest to see in the following:
```py
class C[T]:
def __init__(self, t: T) -> None: ...
class D[U](C[T]):
pass
reveal_type(C(1)) # revealed: C[int]
reveal_type(D(1)) # should be: D[int]
```
When instantiating a generic class, the `__init__` method inherits the
generic context of that class. This lets our call binding machinery
infer a specialization for that context.
Prior to this PR, the instantiation of `C` worked just fine. Its
`__init__` method would inherit the `[T]` generic context, and we would
infer `{T = int}` as the specialization based on the argument
parameters.
It didn't work for `D`. The issue is that the `__init__` method was
inheriting the generic context of the class where `__init__` was defined
(here, `C` and `[T]`). At the call site, we would then infer `{T = int}`
as the specialization — but that wouldn't help us specialize `D[U]`,
since `D` does not have `T` in its generic context!
Instead, the `__init__` method should inherit the generic context of the
class that we are performing the lookup on (here, `D` and `[U]`). That
lets us correctly infer `{U = int}` as the specialization, which we can
successfully apply to `D[U]`.
(Note that `__init__` refers to `C`'s typevars in its signature, but
that's okay; our member lookup logic already applies the `T = U`
specialization when returning a member of `C` while performing a lookup
on `D`, transforming its signature from `(Self, T) -> None` to `(Self,
U) -> None`.)
Closes https://github.com/astral-sh/ty/issues/588
This PR introduces a few related changes:
- We now keep track of each time a legacy typevar is bound in a
different generic context (e.g. class, function), and internally create
a new `TypeVarInstance` for each usage. This means the rest of the code
can now assume that salsa-equivalent `TypeVarInstance`s refer to the
same typevar, even taking into account that legacy typevars can be used
more than once.
- We also go ahead and track the binding context of PEP 695 typevars.
That's _much_ easier to track since we have the binding context right
there during type inference.
- With that in place, we can now include the name of the binding context
when rendering typevars (e.g. `T@f` instead of `T`)
## Summary
Adds an initial set of tests based on the highest-priority items in
https://github.com/astral-sh/ty/issues/154. This is certainly not yet
exhaustive (required/non-required, `total`, and other things are
missing), but will be useful to measure progress on this feature.
## Test Plan
Checked intended behavior against runtime and other type checkers.
<!--
Thank you for contributing to Ruff/ty! To help us out with reviewing,
please consider the following:
- Does this pull request include a summary of the change? (See below.)
- Does this pull request include a descriptive title? (Please prefix
with `[ty]` for ty pull
requests.)
- Does this pull request include references to any relevant issues?
-->
## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Part of #18972
This PR makes [unnecessary-from-float
(FURB164)](https://docs.astral.sh/ruff/rules/unnecessary-from-float/#unnecessary-from-float-furb164)'s
example error out-of-the-box.
[Old example](https://play.ruff.rs/807ef72f-9671-408d-87ab-8b8bad65b33f)
```py
Decimal.from_float(4.2)
Decimal.from_float(float("inf"))
Fraction.from_float(4.2)
Fraction.from_decimal(Decimal("4.2"))
```
[New example](https://play.ruff.rs/303680d1-8a68-4b6c-a5fd-d79c56eb0f88)
```py
from decimal import Decimal
from fractions import Fraction
Decimal.from_float(4.2)
Decimal.from_float(float("inf"))
Fraction.from_float(4.2)
Fraction.from_decimal(Decimal("4.2"))
```
The "Use instead" section also had imports added, and one of the fixed
examples was slightly wrong and needed modification.
## Test Plan
<!-- How was it tested? -->
N/A, no functionality/tests affected
## Summary
Adds validation to subscript assignment expressions.
```py
class Foo: ...
class Bar:
__setattr__ = None
class Baz:
def __setitem__(self, index: str, value: int) -> None:
pass
# We now emit a diagnostic on these statements
Foo()[1] = 2
Bar()[1] = 2
Baz()[1] = 2
```
Also improves error messages on invalid `__getitem__` expressions
## Test Plan
Update mdtests and add more to `subscript/instance.md`
---------
Co-authored-by: David Peter <sharkdp@users.noreply.github.com>
Co-authored-by: David Peter <mail@david-peter.de>
<!--
Thank you for contributing to Ruff/ty! To help us out with reviewing,
please consider the following:
- Does this pull request include a summary of the change? (See below.)
- Does this pull request include a descriptive title? (Please prefix
with `[ty]` for ty pull
requests.)
- Does this pull request include references to any relevant issues?
-->
## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Part of #18972
This PR makes [meta-class-abc-meta
(FURB180)](https://docs.astral.sh/ruff/rules/meta-class-abc-meta/#meta-class-abc-meta-furb180)'s
example error out-of-the-box.
[Old example](https://play.ruff.rs/6beca1be-45cd-4e5a-aafa-6a0584c10d64)
```py
class C(metaclass=ABCMeta):
pass
```
[New example](https://play.ruff.rs/bbad34da-bf07-44e6-9f34-53337e8f57d4)
```py
import abc
class C(metaclass=abc.ABCMeta):
pass
```
The "Use instead" section as also modified similarly.
## Test Plan
<!-- How was it tested? -->
N/A, no functionality/tests affected
## Summary
Fixes#18729 and fixes#16802
## Test Plan
Manually verified via CLI that Ruff no longer enters an infinite loop by
running:
```sh
echo 1 | ruff --isolated check - --select I002,UP010 --fix
```
with `required-imports = ["from __future__ import generator_stop"]` set
in the config, confirming “All checks passed!” and no snapshots were
generated.
---------
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
Summary
--
Fixes#19640. I'm not sure these are the exact fixes we really want, but
I
reproduced the issue in a 32-bit Docker container and tracked down the
causes,
so I figured I'd open a PR.
As I commented on the issue, the `goto_references` test depends on the
iteration
order of the files in an `FxHashSet` in `Indexed`. In this case, we can
just
sort the output in test code.
Similarly, the tuple case depended on the order of overloads inserted in
an
`FxHashMap`. `FxIndexMap` seemed like a convenient drop-in replacement,
but I
don't know if that will have other detrimental effects. I did have to
change the
assertion for the tuple test, but I think it should now be stable across
architectures.
Test Plan
--
Running the tests in the aforementioned Docker container
Issue: https://github.com/astral-sh/ruff/issues/19498
## Summary
[missing-required-import](https://docs.astral.sh/ruff/rules/missing-required-import/)
inserts the missing import on the line immediately following the last
line of the docstring. However, if the dosctring is immediately followed
by a continuation token (i.e. backslash) then this leads to a syntax
error because Python interprets the docstring and the inserted import to
be on the same line.
The proposed solution in this PR is to check if the first token after a
file docstring is a continuation character, and if so, to advance an
additional line before inserting the missing import.
## Test Plan
Added a unit test, and the following example was verified manually:
Given this simple test Python file:
```python
"Hello, World!"\
print(__doc__)
```
and this ruff linting configuration in the `pyproject.toml` file:
```toml
[tool.ruff.lint]
select = ["I"]
[tool.ruff.lint.isort]
required-imports = ["import sys"]
```
Without the changes in this PR, the ruff linter would try to insert the
missing import in line 2, resulting in a syntax error, and report the
following:
`error: Fix introduced a syntax error. Reverting all changes.`
With the changes in this PR, ruff correctly advances one more line
before adding the missing import, resulting in the following output:
```python
"Hello, World!"\
import sys
print(__doc__)
```
---------
Co-authored-by: Jim Hoekstra <jim.hoekstra@pacmed.nl>
## Summary
This PR improves our generics solver such that we are able to solve the
`TypeVar` in this snippet to `int | str` (the union of the elements in
the heterogeneous tuple) by upcasting the heterogeneous tuple to its
pure-homogeneous-tuple supertype:
```py
def f[T](x: tuple[T, ...]) -> T:
return x[0]
def g(x: tuple[int, str]):
reveal_type(f(x))
```
## Test Plan
Mdtests. Some TODOs remain in the mdtest regarding solving `TypeVar`s
for mixed tuples, but I think this PR on its own is a significant step
forward for our generics solver when it comes to tuple types.
---------
Co-authored-by: Douglas Creager <dcreager@dcreager.net>
