## Summary
Fixes the remaining range reporting differences between the `ruff_db`
diagnostic rendering and Ruff's existing rendering, as noted in
https://github.com/astral-sh/ruff/pull/19415#issuecomment-3160525595.
This PR is structured as a series of three pairs. The first commit in
each pair adds a test showing the previous behavior, followed by a fix
and the updated snapshot. It's quite a small PR, but that might be
helpful just for the contrast.
You can also look at [this
range](052e656c6c..c3ea51030d)
of commits from #19415 to see the impact on real Ruff diagnostics. I
spun these commits out of that PR.
## Test Plan
New `ruff_db` tests
PLE2513 --fix changes ESC and SUB to uppercase hexadecimal values such
as \x1B while the formatter changes them to lowercase \x1b
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## Summary
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---------
Co-authored-by: Brent Westbrook <brentrwestbrook@gmail.com>
## Summary
This is a small refactor to update the server to send a single request
to perform registrations and unregistrations of dynamic capabilities.
## Test Plan
Existing E2E test cases pass, add a new test case to verify multiple
registrations.
## Summary
Reported in:
https://github.com/astral-sh/ruff/pull/19795#issuecomment-3161981945
If a root expression is reassigned, narrowing on the member should be
invalidated, but there was an oversight in the current implementation.
This PR fixes that, and also removes some unnecessary handling.
## Test Plan
New tests cases in `narrow/conditionals/nested.md`.
## Summary
This PR adds a new `ty.inlayHints.variableTypes` server setting to
configure ty to include / exclude inlay hints at variable position.
Currently, we only support inlay hints at this position so this option
basically translates to enabling / disabling inlay hints for now :)
The VS Code extension PR is
https://github.com/astral-sh/ty-vscode/pull/112.
closes: astral-sh/ty#472
## Test Plan
Add E2E tests.
## Summary
This PR is a follow-up from https://github.com/astral-sh/ruff/pull/19551
and adds a new `ty.experimental.rename` setting to conditionally
register for the rename capability. The complementary PR in ty VS Code
extension is https://github.com/astral-sh/ty-vscode/pull/111.
This is done using dynamic registration after the settings have been
resolved. The experimental group is part of the global settings because
they're applied for all workspaces that are managed by the client.
## Test Plan
Add E2E tests.
In VS Code, with the following setting:
```json
{
"ty.experimental.rename": "true",
"python.languageServer": "None"
}
```
I get the relevant log entry:
```
2025-08-07 16:05:40.598709000 DEBUG client_response{id=3 method="client/registerCapability"}: Registered rename capability
```
And, I'm able to rename a symbol. Once I set it to `false`, then I can
see this log entry:
```
2025-08-07 16:08:39.027876000 DEBUG Rename capability is disabled in the client settings
```
And, I don't see the "Rename Symbol" open in the VS Code dropdown.
https://github.com/user-attachments/assets/501659df-ba96-4252-bf51-6f22acb4920b
This PR adds support for the "rename" language server feature. It builds
upon existing functionality used for "go to references".
The "rename" feature involves two language server requests. The first is
a "prepare rename" request that determines whether renaming should be
possible for the identifier at the current offset. The second is a
"rename" request that returns a list of file ranges where the rename
should be applied.
Care must be taken when attempting to rename symbols that span files,
especially if the symbols are defined in files that are not part of the
project. We don't want to modify code in the user's Python environment
or in the vendored stub files.
I found a few bugs in the "go to references" feature when implementing
"rename", and those bug fixes are included in this PR.
---------
Co-authored-by: UnboundVariable <unbound@gmail.com>
## Summary
As per our naming scheme (at least for callable types) this should
return a `BoundMethodType`, or be renamed, but it makes more sense to
change the return type.
I also ensure `ClassType.into_callable` returns a `Type::Callable` in
the changed branch.
Ideally we could return a `CallableType` from these `into_callable`
functions (and rename to `into_callable_type` but because of unions we
cannot do this.
## Summary
Validates writes to `TypedDict` keys, for example:
```py
class Person(TypedDict):
name: str
age: int | None
def f(person: Person):
person["naem"] = "Alice" # error: [invalid-key]
person["age"] = "42" # error: [invalid-assignment]
```
The new specialized `invalid-assignment` diagnostic looks like this:
<img width="1160" height="279" alt="image"
src="https://github.com/user-attachments/assets/51259455-3501-4829-a84e-df26ff90bd89"
/>
## Ecosystem analysis
As far as I can tell, all true positives!
There are some extremely long diagnostic messages. We should truncate
our display of overload sets somehow.
## Test Plan
New Markdown tests
## Summary
When seeing a failed test like
```bash
is_subtype_of.md - Subtype relation - Callable - Class literals - Classes with `__new_… (1e9782853227c019)
crates/ty_python_semantic/resources/mdtest/type_properties/is_subtype_of.md:1810 unexpected error: [unresolved-reference] "Name `Aa` used when not defined"
To rerun this specific test, set the environment variable: MDTEST_TEST_FILTER='is_subtype_of.md - Subtype relation - Callable - Class literals - Classes with `__new_… (1e9782853227c019)'
MDTEST_TEST_FILTER='is_subtype_of.md - Subtype relation - Callable - Class literals - Classes with `__new_… (1e9782853227c019)' cargo test -p ty_python_semantic --test mdtest -- mdtest__type_properties_is_subtype_of
```
running the following now works
```bash
MDTEST_TEST_FILTER='is_subtype_of.md - Subtype relation - Callable - Class literals - Classes with `__new_… (1e9782853227c019)' cargo test -p ty_python_semantic --test mdtest -- mdtest__type_properties_is_subtype_of
```
## Test Plan
Do we have tests for the test runner? :)
This fixes our logic for binding a legacy typevar with its binding
context. (To recap, a legacy typevar starts out "unbound" when it is
first created, and each time it's used in a generic class or function,
we "bind" it with the corresponding `Definition`.)
We treat `typing.Self` the same as a legacy typevar, and so we apply
this binding logic to it too. Before, we were using the enclosing class
as its binding context. But that's not correct — it's the method where
`typing.Self` is used that binds the typevar. (Each invocation of the
method will find a new specialization of `Self` based on the specific
instance type containing the invoked method.)
This required plumbing through some additional state to the
`in_type_expression` method.
This also revealed that we weren't handling `Self`-typed instance
attributes correctly (but were coincidentally not getting the expected
false positive diagnostics).
## Summary
Disallow `typing.TypedDict` in type expressions.
Related reference: https://github.com/python/mypy/issues/11030
## Test Plan
New Markdown tests, checked ecosystem and conformance test impact.
## Summary
This PR updates the client settings handling to recognize unknown
options provided by the user and show a warning popup along with a
warning log message.
## Test Plan
Add E2E tests.
## Summary
This PR implements support for providing LSP client settings.
The complementary PR in the ty VS Code extension:
astral-sh/ty-vscode#106.
Notes for the previous iteration of this PR is in
https://github.com/astral-sh/ruff/pull/19614#issuecomment-3136477864
(click on "Details").
Specifically, this PR splits the client settings into 3 distinct groups.
Keep in mind that these groups are not visible to the user, they're
merely an implementation detail. The groups are:
1. `GlobalOptions` - these are the options that are global to the
language server and will be the same for all the workspaces that are
handled by the server
2. `WorkspaceOptions` - these are the options that are specific to a
workspace and will be applied only when running any logic for that
workspace
3. `InitializationOptions` - these are the options that can be specified
during initialization
The initialization options are a superset that contains both the global
and workspace options flattened into a 1-dimensional structure. This
means that the user can specify any and all fields present in
`GlobalOptions` and `WorkspaceOptions` in the initialization options in
addition to the fields that are _specific_ to initialization options.
From the current set of available settings, following are only available
during initialization because they are required at that time, are static
during the runtime of the server and changing their values require a
restart to take effect:
- `logLevel`
- `logFile`
And, following are available under `GlobalOptions`:
- `diagnosticMode`
And, following under `WorkspaceOptions`:
- `disableLanguageServices`
- `pythonExtension` (Python environment information that is populated by
the ty VS Code extension)
### `workspace/configuration`
This request allows server to ask the client for configuration to a
specific workspace. But, this is only supported by the client that has
the `workspace.configuration` client capability set to `true`. What to
do for clients that don't support pulling configurations?
In that case, the settings needs to be provided in the initialization
options and updating the values of those settings can only be done by
restarting the server. With the way this is implemented, this means that
if the client does not support pulling workspace configuration then
there's no way to specify settings specific to a workspace. Earlier,
this would've been possible by providing an array of client options with
an additional field which specifies which workspace the options belong
to but that adds complexity and clients that actually do not support
`workspace/configuration` would usually not support multiple workspaces
either.
Now, for the clients that do support this, the server will initiate the
request to get the configuration for all the workspaces at the start of
the server. Once the server receives these options, it will resolve them
for each workspace as follows:
1. Combine the client options sent during initialization with the
options specific to the workspace creating the final client options
that's specific to this workspace
2. Create a global options by combining the global options from (1) for
all workspaces which in turn will also combine the global options sent
during initialization
The global options are resolved into the global settings and are
available on the `Session` which is initialized with the default global
settings. The workspace options are resolved into the workspace settings
and are available on the respective `Workspace`.
The `SessionSnapshot` contains the global settings while the document
snapshot contains the workspace settings. We could add the global
settings to the document snapshot but that's currently not needed.
### Document diagnostic dynamic registration
Currently, the document diagnostic server capability is created based on
the `diagnosticMode` sent during initialization. But, that wouldn't
provide us with the complete picture. This means the server needs to
defer registering the document diagnostic capability at a later point
once the settings have been resolved.
This is done using dynamic registration for clients that support it. For
clients that do not support dynamic registration for document diagnostic
capability, the server advertises itself as always supporting workspace
diagnostics and work done progress token.
This dynamic registration now allows us to change the server capability
for workspace diagnostics based on the resolved `diagnosticMode` value.
In the future, once `workspace/didChangeConfiguration` is supported, we
can avoid the server restart when users have changed any client
settings.
## Test Plan
Add integration tests and recorded videos on the user experience in
various editors:
### VS Code
For VS Code users, the settings experience is unchanged because the
extension defines it's own interface on how the user can specify the
server setting. This means everything is under the `ty.*` namespace as
usual.
https://github.com/user-attachments/assets/c2e5ba5c-7617-406e-a09d-e397ce9c3b93
### Zed
For Zed, the settings experience has changed. Users can specify settings
during initialization:
```json
{
"lsp": {
"ty": {
"initialization_options": {
"logLevel": "debug",
"logFile": "~/.cache/ty.log",
"diagnosticMode": "workspace",
"disableLanguageServices": true
}
},
}
}
```
Or, can specify the options under the `settings` key:
```json
{
"lsp": {
"ty": {
"settings": {
"ty": {
"diagnosticMode": "openFilesOnly",
"disableLanguageServices": true
}
},
"initialization_options": {
"logLevel": "debug",
"logFile": "~/.cache/ty.log"
}
},
}
}
```
The `logLevel` and `logFile` setting still needs to go under the
initialization options because they're required by the server during
initialization.
We can remove the nesting of the settings under the "ty" namespace by
updating the return type of
db9ea0cdfd/src/tychecker.rs (L45-L49)
to be wrapped inside `ty` directly so that users can avoid doing the
double nesting.
There's one issue here which is that if the `diagnosticMode` is
specified in both the initialization option and settings key, then the
resolution is a bit different - if either of them is set to be
`workspace`, then it wins which means that in the following
configuration, the diagnostic mode is `workspace`:
```json
{
"lsp": {
"ty": {
"settings": {
"ty": {
"diagnosticMode": "openFilesOnly"
}
},
"initialization_options": {
"diagnosticMode": "workspace"
}
},
}
}
```
This behavior is mainly a result of combining global options from
various workspace configuration results. Users should not be able to
provide global options in multiple workspaces but that restriction
cannot be done on the server side. The ty VS Code extension restricts
these global settings to only be set in the user settings and not in
workspace settings but we do not control extensions in other editors.
https://github.com/user-attachments/assets/8e2d6c09-18e6-49e5-ab78-6cf942fe1255
### Neovim
Same as in Zed.
### Other
Other editors that do not support `workspace/configuration`, the users
would need to provide the server settings during initialization.
## Summary
This PR improves the `is_safe_mutable_class` function in `infer.rs` in
several ways:
- It uses `KnownClass::to_instance()` for all "safe mutable classes".
Previously, we were using `SpecialFormType::instance_fallback()` for
some variants -- I'm not totally sure why. Switching to
`KnownClass::to_instance()` for all "safe mutable classes" fixes a
number of TODOs in the `assignment.md` mdtest suite
- Rather than eagerly calling `.to_instance(db)` on all "safe mutable
classes" every time `is_safe_mutable_class` is called, we now only call
it lazily on each element, allowing us to short-circuit more
effectively.
- I removed the entry entirely for `TypedDict` from the list of "safe
mutable classes", as it's not correct.
`SpecialFormType::TypedDict.instance_fallback(db)` just returns an
instance type representing "any instance of `typing._SpecialForm`",
which I don't think was the intent of this code. No tests fail as a
result of removing this entry, as we already check separately whether an
object is an inhabitant of a `TypedDict` type (and consider that object
safe-mutable if so!).
## Test Plan
mdtests updated
## Summary
This PR adds type inference for key-based access on `TypedDict`s and a
new diagnostic for invalid subscript accesses:
```py
class Person(TypedDict):
name: str
age: int | None
alice = Person(name="Alice", age=25)
reveal_type(alice["name"]) # revealed: str
reveal_type(alice["age"]) # revealed: int | None
alice["naem"] # Unknown key "naem" - did you mean "name"?
```
## Test Plan
Updated Markdown tests
## Summary
This PR remaps ranges in Jupyter notebooks from simple `row:column`
indices in the concatenated source code to `cell:row:col` to match
Ruff's output. This is probably not a likely change to land upstream in
`annotate-snippets`, but I didn't see a good way around it.
The remapping logic is taken nearly verbatim from here:
cd6bf1457d/crates/ruff_linter/src/message/text.rs (L212-L222)
## Test Plan
New `full` rendering test for a notebook
I was mainly focused on Ruff, but in local tests this also works for ty:
```
error[invalid-assignment]: Object of type `Literal[1]` is not assignable to `str`
--> Untitled.ipynb:cell 1:3:1
|
1 | import math
2 |
3 | x: str = 1
| ^
|
info: rule `invalid-assignment` is enabled by default
error[invalid-assignment]: Object of type `Literal[1]` is not assignable to `str`
--> Untitled.ipynb:cell 2:3:1
|
1 | import math
2 |
3 | x: str = 1
| ^
|
info: rule `invalid-assignment` is enabled by default
```
This isn't a duplicate diagnostic, just an unimaginative example:
```py
# cell 1
import math
x: str = 1
# cell 2
import math
x: str = 1
```
Summary
--
This is the other commit I wanted to spin off from #19415, currently
stacked on #19644.
This PR suppresses blank snippets for empty ranges at the very beginning
of a file, and for empty ranges in non-existent files. Ruff includes
empty ranges for IO errors, for example.
f4e93b6335/crates/ruff_linter/src/message/text.rs (L100-L110)
The diagnostics now look like this (new snapshot test):
```
error[test-diagnostic]: main diagnostic message
--> example.py:1:1
```
Instead of [^*]
```
error[test-diagnostic]: main diagnostic message
--> example.py:1:1
|
|
```
Test Plan
--
A new `ruff_db` test showing the expected output format
[^*]: This doesn't correspond precisely to the example in the PR because
of some details of the diagnostic builder helper methods in `ruff_db`,
but you can see another example in the current version of the summary in
#19415.
Summary
--
Fixes a snapshot test failure I saw in #19653 locally and in Windows CI
by
padding the hex ID to 16 digits to match the regex in
`filter_result_id`.
78e5fe0a51/crates/ty_server/tests/e2e/pull_diagnostics.rs (L380-L384)
Test Plan
--
I applied this to the branch from #19653 locally and saw that the tests
now
pass. I couldn't reproduce this failure directly on `main` or this
branch,
though.
## Summary
This PR is a spin-off from https://github.com/astral-sh/ruff/pull/19415.
It enables replacing the severity and lint name in a ty-style
diagnostic:
```
error[unused-import]: `os` imported but unused
```
with the noqa code and optional fix availability icon for a Ruff
diagnostic:
```
F401 [*] `os` imported but unused
F821 Undefined name `a`
```
or nothing at all for a Ruff syntax error:
```
SyntaxError: Expected one or more symbol names after import
```
Ruff adds the `SyntaxError` prefix to these messages manually.
Initially (d912458), I just passed a `hide_severity` flag through a
bunch of calls to get it into `annotate-snippets`, but after looking at
it again today, I think reusing the `None` severity/level gave a nicer
result. As I note in a lengthy code comment, I think all of this code
should be temporary and reverted when Ruff gets real severities, so
hopefully it's okay if it feels a little hacky.
I think the main visible downside of this approach is that we can't
style the asterisk in the fix availabilty icon in cyan, as in Ruff's
current output. It's part of the message in this PR and any styling gets
overwritten in `annotate-snippets`.
<img width="400" height="342" alt="image"
src="https://github.com/user-attachments/assets/57542ec9-a81c-4a01-91c7-bd6d7ec99f99"
/>
Hmm, I guess reusing `Level::None` also means the `F401` isn't red
anymore. Maybe my initial approach was better after all. In any case,
the rest of the PR should be basically the same, it just depends how we
want to toggle the severity.
## Test Plan
New `ruff_db` tests. These snapshots should be compared to the two tests
just above them (`hide_severity_output` vs `output` and
`hide_severity_syntax_errors` against `syntax_errors`).
## Summary
This PR fixes a few inaccuracies in attribute access on `TypedDict`s. It
also changes the return type of `type(person)` to `type[dict[str,
object]]` if `person: Person` is an inhabitant of a `TypedDict`
`Person`. We still use `type[Person]` as the *meta type* of Person,
however (see reasoning
[here](https://github.com/astral-sh/ruff/pull/19733#discussion_r2253297926)).
## Test Plan
Updated Markdown tests.
## 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.
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## 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>
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## 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>
## Summary
Add support for `async for` loops and async iterables.
part of https://github.com/astral-sh/ty/issues/151
## Ecosystem impact
```diff
- boostedblob/listing.py:445:54: warning[unused-ignore-comment] Unused blanket `type: ignore` directive
```
This is correct. We now find a true positive in the `# type: ignore`'d
code.
All of the other ecosystem hits are of the type
```diff
trio (https://github.com/python-trio/trio)
+ src/trio/_core/_tests/test_guest_mode.py:532:24: error[not-iterable] Object of type `MemorySendChannel[int] | MemoryReceiveChannel[int]` may not be iterable
```
The message is correct, because only `MemoryReceiveChannel` has an
`__aiter__` method, but `MemorySendChannel` does not. What's not correct
is our inferred type here. It should be `MemoryReceiveChannel[int]`, not
the union of the two. This is due to missing unpacking support for tuple
subclasses, which @AlexWaygood is working on. I don't think this should
block merging this PR, because those wrong types are already there,
without this PR.
## Test Plan
New Markdown tests and snapshot tests for diagnostics.
## Summary
I was a bit stuck on some snapshot differences I was seeing in #19415,
but @BurntSushi pointed out that `annotate-snippets` already normalizes
tabs on its own, which was very helpful! Instead of applying this change
directly to the other branch, I wanted to try applying it in
`ruff_linter` first. This should very slightly reduce the number of
changes in #19415 proper.
It looks like `annotate-snippets` always expands a tab to four spaces,
whereas I think we were aligning to tab stops:
```diff
6 | spam(ham[1], { eggs: 2})
7 | #: E201:1:6
- 8 | spam( ham[1], {eggs: 2})
- | ^^^ E201
+ 8 | spam( ham[1], {eggs: 2})
+ | ^^^^ E201
```
```diff
61 | #: E203:2:15 E702:2:16
62 | if x == 4:
-63 | print(x, y) ; x, y = y, x
- | ^ E203
+63 | print(x, y) ; x, y = y, x
+ | ^^^^ E203
```
```diff
E27.py:15:6: E271 [*] Multiple spaces after keyword
|
-13 | True and False
+13 | True and False
14 | #: E271
15 | a and b
| ^^ E271
```
I don't think this is too bad and has the major benefit of allowing us
to pass the non-tab-expanded range to `annotate-snippets` in #19415,
where it's also displayed in the header. Ruff doesn't have this problem
currently because it uses its own concise diagnostic output as the
header for full diagnostics, where the pre-expansion range is used
directly.
## Test Plan
Existing tests with a few snapshot updates
## Summary
- Add support for the return types of `async` functions
- Add type inference for `await` expressions
- Add support for `async with` / async context managers
- Add support for `yield from` expressions
This PR is generally lacking proper error handling in some cases (e.g.
illegal `__await__` attributes). I'm planning to work on this in a
follow-up.
part of https://github.com/astral-sh/ty/issues/151
closes https://github.com/astral-sh/ty/issues/736
## Ecosystem
There are a lot of true positives on `prefect` which look similar to:
```diff
prefect (https://github.com/PrefectHQ/prefect)
+ src/integrations/prefect-aws/tests/workers/test_ecs_worker.py:406:12: error[unresolved-attribute] Type `str` has no attribute `status_code`
```
This is due to a wrong return type annotation
[here](e926b8c4c1/src/integrations/prefect-aws/tests/workers/test_ecs_worker.py (L355-L391)).
```diff
mitmproxy (https://github.com/mitmproxy/mitmproxy)
+ test/mitmproxy/addons/test_clientplayback.py:18:1: error[invalid-argument-type] Argument to function `asynccontextmanager` is incorrect: Expected `(...) -> AsyncIterator[Unknown]`, found `def tcp_server(handle_conn, **server_args) -> Unknown | tuple[str, int]`
```
[This](a4d794c59a/test/mitmproxy/addons/test_clientplayback.py (L18-L19))
is a true positive. That function should return
`AsyncIterator[Address]`, not `Address`.
I looked through almost all of the other new diagnostics and they all
look like known problems or true positives.
## Typing conformance
The typing conformance diff looks good.
## Test Plan
New Markdown tests
Alex Waygood
Brent Westbrook
ember91
Micha Reiser
Dhruv Manilawala
Jack O'Connor
Shunsuke Shibayama
Dylan
Andrew Gallant
UnboundVariable
Matthew Mckee
David Peter
Douglas Creager
Ibraheem Ahmed
Dan Parizher
Simon Lamon
Roman Kitaev
Leandro Braga
Jérémy Scanvic
cristian64
Nathaniel Roman
GiGaGon
Hunter Hogan
github-actions[bot]
Jim Hoekstra