## Summary
Make sure that the following definitions all lead to the same outcome
(bug originally noticed by @AlexWaygood)
```py
from typing import ClassVar
class Descriptor:
def __get__(self, instance, owner) -> int:
return 42
class C:
a: ClassVar[Descriptor]
b: Descriptor = Descriptor()
c: ClassVar[Descriptor] = Descriptor()
reveal_type(C().a) # revealed: int (previously: int | Descriptor)
reveal_type(C().b) # revealed: int
reveal_type(C().c) # revealed: int
```
## Test Plan
New Markdown tests
## Summary
I think `division-by-zero` is a low-value diagnostic in general; most
real division-by-zero errors (especially those that are less obvious to
the human eye) will occur on values typed as `int`, in which case we
don't issue the diagnostic anyway. Mypy and pyright do not emit this
diagnostic.
Currently the diagnostic is prone to false positives because a) we do
not silence it in unreachable code, and b) we do not implement narrowing
of literals from inequality checks. We will probably fix (a) regardless,
but (b) is low priority apart from division-by-zero.
I think we have many more important things to do and should not allow
false positives on a low-value diagnostic to be a distraction. Not
opposed to re-enabling this diagnostic in future when we can prioritize
reducing its false positives.
References https://github.com/astral-sh/ty/issues/443
## Test Plan
Existing tests.
## Summary
This PR updates the language server to avoid panicking when there are
multiple workspace folders passed during initialization. The server
currently picks up the first workspace folder and provides a warning and
a log message.
## Test Plan
<img width="1724" alt="Screenshot 2025-05-17 at 11 43 09"
src="https://github.com/user-attachments/assets/1a7ddbc3-198d-4191-a28f-9b69321e8f99"
/>
## Summary
Resolves [#461](https://github.com/astral-sh/ty/issues/461).
ty was hardcoded to infer `BytesLiteral` types for integer indexing into
`BytesLiteral`. It will now infer `IntLiteral` types instead.
## Test Plan
Markdown tests.
Summary
--
I thought that emitting multiple diagnostics at once would be difficult
to port to a diagnostic construction model closer to ty's
`InferContext::report_lint`, so as a first step toward that, this PR
removes `Checker::report_diagnostics`.
In many cases I was able to do some related refactoring to avoid
allocating a `Vec<Diagnostic>` at all, often by adding a `Checker` field
to a `Visitor` or by passing a `Checker` instead of a `&mut
Vec<Diagnostic>`.
In other cases, I had to fall back on something like
```rust
for diagnostic in diagnostics {
checker.report_diagnostic(diagnostic);
}
```
which I guess is a bit worse than the `extend` call in
`report_diagnostics`, but hopefully it won't make too much of a
difference.
I'm still not quite sure what to do with the remaining loop cases. The
two main use cases for collecting a sequence of diagnostics before
emitting any of them are:
1. Applying a single `Fix` to a group of diagnostics
2. Avoiding an earlier diagnostic if something goes wrong later
I was hoping we could get away with just a `DiagnosticGuard` that
reported a `Diagnostic` on drop, but I guess we will still need a
`DiagnosticGuardBuilder` that can be collected in these cases and
produce a `DiagnosticGuard` once we know we actually want the
diagnostics.
Test Plan
--
Existing tests
Closes https://github.com/astral-sh/ty/issues/453.
## Summary
Add an additional info diagnostic to `unresolved-import` check to hint
to users that they should make sure their Python environment is properly
configured for ty, linking them to the corresponding doc. This
diagnostic is only shown when an import is not relative, e.g., `import
maturin` not `import .maturin`.
## Test Plan
Updated snapshots with new info message and reran tests.
The PR add the `fix safety` section for rule `SIM110` (#15584 )
### Unsafe Fix Example
```python
def predicate(item):
global called
called += 1
if called == 1:
# after first call we change the method
def new_predicate(_): return False
globals()['predicate'] = new_predicate
return True
def foo():
for item in range(10):
if predicate(item):
return True
return False
def foo_gen():
return any(predicate(item) for item in range(10))
called = 0
print(foo()) # true – returns immediately on first call
called = 0
print(foo_gen()) # false – second call uses new `predicate`
```
### Note
I notice that
[here](46be305ad2/crates/ruff_linter/src/rules/flake8_simplify/rules/reimplemented_builtin.rs (L60))
we have two rules, `SIM110` & `SIM111`. The second one seems not anymore
active. Should I delete `SIM111`?
This implements the stopgap approach described in
https://github.com/astral-sh/ty/issues/336#issuecomment-2880532213 for
handling literal types in generic class specializations.
With this approach, we will promote any literal to its instance type,
but _only_ when inferring a generic class specialization from a
constructor call:
```py
class C[T]:
def __init__(self, x: T) -> None: ...
reveal_type(C("string")) # revealed: C[str]
```
If you specialize the class explicitly, we still use whatever type you
provide, even if it's a literal:
```py
from typing import Literal
reveal_type(C[Literal[5]](5)) # revealed: C[Literal[5]]
```
And this doesn't apply at all to generic functions:
```py
def f[T](x: T) -> T:
return x
reveal_type(f(5)) # revealed: Literal[5]
```
---
As part of making this happen, we also generalize the `TypeMapping`
machinery. This provides a way to apply a function to type, returning a
new type. Complicating matters is that for function literals, we have to
apply the mapping lazily, since the function's signature is not created
until (and if) someone calls its `signature` method. That means we have
to stash away the mappings that we want to apply to the signatures
parameter/return annotations once we do create it. This requires some
minor `Cow` shenanigans to continue working for partial specializations.
This is a follow-on to #18155. For the example raised in
https://github.com/astral-sh/ty/issues/370:
```py
import tempfile
with tempfile.TemporaryDirectory() as tmp: ...
```
the new logic would notice that both overloads of `TemporaryDirectory`
match, and combine their specializations, resulting in an inferred type
of `str | bytes`.
This PR updates the logic to match our other handling of other calls,
where we only keep the _first_ matching overload. The result for this
example then becomes `str`, matching the runtime behavior. (We still do
not implement the full [overload resolution
algorithm](https://typing.python.org/en/latest/spec/overload.html#overload-call-evaluation)
from the spec.)
## Summary
Add a new diagnostic hint if you try to use PEP 604 `X | Y` union syntax
in a non-type-expression before 3.10.
closes https://github.com/astral-sh/ty/issues/437
## Test Plan
New snapshot test
## Summary
This PR unifies the ruff `Message` enum variants for syntax errors and
rule violations into a single `Message` struct consisting of a shared
`db::Diagnostic` and some additional, optional fields used for some rule
violations.
This version of `Message` is nearly a drop-in replacement for
`ruff_diagnostics::Diagnostic`, which is the next step I have in mind
for the refactor.
I think this is also a useful checkpoint because we could possibly add
some of these optional fields to the new `Diagnostic` type. I think
we've previously discussed wanting support for `Fix`es, but the other
fields seem less relevant, so we may just need to preserve the `Message`
wrapper for a bit longer.
## Test plan
Existing tests
---------
Co-authored-by: Micha Reiser <micha@reiser.io>
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
* Remove the following rules
* name
* `airflow.auth.managers.base_auth_manager.is_authorized_dataset` →
`airflow.api_fastapi.auth.managers.base_auth_manager.is_authorized_asset`
*
`airflow.providers.fab.auth_manager.fab_auth_manager.is_authorized_dataset`
→
`airflow.providers.fab.auth_manager.fab_auth_manager.is_authorized_asset`
* Update the following rules
* name
* `airflow.models.baseoperatorlink.BaseOperatorLink` →
`airflow.sdk.BaseOperatorLink`
* `airflow.api_connexion.security.requires_access` → "Use
`airflow.api_fastapi.core_api.security.requires_access_*` instead`"
* `airflow.api_connexion.security.requires_access_dataset`→
`airflow.api_fastapi.core_api.security.requires_access_asset`
* `airflow.notifications.basenotifier.BaseNotifier` →
`airflow.sdk.bases.notifier.BaseNotifier`
* `airflow.www.auth.has_access` → None
* `airflow.www.auth.has_access_dataset` → None
* `airflow.www.utils.get_sensitive_variables_fields`→ None
* `airflow.www.utils.should_hide_value_for_key`→ None
* class attribute
* `airflow..sensors.weekday.DayOfWeekSensor`
* `use_task_execution_day` removed
*
`airflow.providers.amazon.aws.auth_manager.aws_auth_manager.AwsAuthManager`
* `is_authorized_dataset`
* Add the following rules
* class attribute
* `airflow.auth.managers.base_auth_manager.BaseAuthManager` |
`airflow.providers.fab.auth_manager.fab_auth_manager.FabAuthManager`
* name
* `airflow.auth.managers.base_auth_manager.BaseAuthManager` →
`airflow.api_fastapi.auth.managers.base_auth_manager.BaseAuthManager` *
`is_authorized_dataset` → `is_authorized_asset`
* refactor
* simplify unnecessary match with if else
* rename Replacement::Name as Replacement::AttrName
## Test Plan
<!-- How was it tested? -->
The test fixtures have been revised and updated.
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
In the later development of Airflow 3.0, backward compatibility was not
added for some cases. Thus, the following rules are moved back to AIR302
* airflow.hooks.subprocess.SubprocessResult →
airflow.providers.standard.hooks.subprocess.SubprocessResult
* airflow.hooks.subprocess.working_directory →
airflow.providers.standard.hooks.subprocess.working_directory
* airflow.operators.datetime.target_times_as_dates →
airflow.providers.standard.operators.datetime.target_times_as_dates
* airflow.operators.trigger_dagrun.TriggerDagRunLink →
airflow.providers.standard.operators.trigger_dagrun.TriggerDagRunLink
* airflow.sensors.external_task.ExternalTaskSensorLink →
airflow.providers.standard.sensors.external_task.ExternalDagLink (**This
one contains a minor change**)
* airflow.sensors.time_delta.WaitSensor →
airflow.providers.standard.sensors.time_delta.WaitSensor
## Test Plan
<!-- How was it tested? -->
This primarily comes up with annotated `self` parameters in
constructors:
```py
class C[T]:
def __init__(self: C[int]): ...
```
Here, we want infer a specialization of `{T = int}` for a call that hits
this overload.
Normally when inferring a specialization of a function call, typevars
appear in the parameter annotations, and not in the argument types. In
this case, this is reversed: we need to verify that the `self` argument
(`C[T]`, as we have not yet completed specialization inference) is
assignable to the parameter type `C[int]`.
To do this, we simply look for a typevar/type in both directions when
performing inference, and apply the inferred specialization to argument
types as well as parameter types before verifying assignability.
As a wrinkle, this exposed that we were not checking
subtyping/assignability for function literals correctly. Our function
literal representation includes an optional specialization that should
be applied to the signature. Before, function literals were considered
subtypes of (assignable to) each other only if they were identical Salsa
objects. Two function literals with different specializations should
still be considered subtypes of (assignable to) each other if those
specializations result in the same function signature (typically because
the function doesn't use the typevars in the specialization).
Closes https://github.com/astral-sh/ty/issues/370
Closes https://github.com/astral-sh/ty/issues/100
Closes https://github.com/astral-sh/ty/issues/258
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
My editor runs `rustfmt` on save to format Rust code, not `cargo fmt`.
With our recent bump to the Rust 2024 edition, the formatting that
`rustfmt`/`cargo fmt` applies changed. Unfortunately, `rustfmt` and
`cargo fmt` have different behaviors for determining which edition to
use when formatting: `cargo fmt` looks for the Rust edition in
`Cargo.toml`, whereas `rustfmt` looks for it in `rustfmt.toml`. As a
result, whenever I save, I have to remember to manually run `cargo fmt`
before committing/pushing.
There is an open issue asking for `rustfmt` to also look at `Cargo.toml`
when it's present (https://github.com/rust-lang/rust.vim/issues/368),
but it seems like they "closed" that issue just by bumping the default
edition (six years ago, from 2015 to 2018).
In the meantime, this PR adds a `rustfmt.toml` file with our current
Rust edition so that both invocation have the same behavior. I don't
love that this duplicates information in `Cargo.toml`, but I've added a
reminder comment there to hopefully ensure that we bump the edition in
both places three years from now.
## Summary
Support direct uses of `typing.TypeAliasType`, as in:
```py
from typing import TypeAliasType
IntOrStr = TypeAliasType("IntOrStr", int | str)
def f(x: IntOrStr) -> None:
reveal_type(x) # revealed: int | str
```
closes https://github.com/astral-sh/ty/issues/392
## Ecosystem
The new false positive here:
```diff
+ error[invalid-type-form] altair/utils/core.py:49:53: The first argument to `Callable` must be either a list of types, ParamSpec, Concatenate, or `...`
```
comes from the fact that we infer the second argument as a type
expression now. We silence false positives for PEP695 `ParamSpec`s, but
not for `P = ParamSpec("P")` inside `Callable[P, ...]`.
## Test Plan
New Markdown tests
## Summary
just a minor nit followup to
https://github.com/astral-sh/ruff/pull/18010 -- put all the
non-`Visitor` methods of `SemanticIndexBuilder` in the same impl block
rather than having multiple impl blocks
## Test Plan
`cargo build`
Summary
--
I noticed these `cfg` directives while working on diagnostics. I think
it makes more sense to apply an `insta` filter in the test instead. I
copied this filter from a CLI test for the same rule.
Test Plan
--
Existing tests, especially Windows CI on this PR
## Summary
With this PR we now detect that x is always defined in `use`:
```py
if flag and (x := number):
use(x)
```
When outside if, it's still detected as possibly not defined
```py
flag and (x := number)
# error: [possibly-unresolved-reference]
use(x)
```
In order to achieve that, I had to find a way to get access to the
flow-snapshots of the boolean expression when analyzing the flow of the
if statement. I did it by special casing the visitor of boolean
expression to return flow control information, exporting two snapshots -
`maybe_short_circuit` and `no_short_circuit`. When indexing
boolean expression itself we must assume all possible flows, but when
it's inside if statement, we can be smarter than that.
## Test Plan
Fixed existing and added new mdtests.
I went through some of mypy primer results and they look fine
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
## Summary
Add various attributes to `NamedTuple` classes/instances that are
available at runtime.
closes https://github.com/astral-sh/ty/issues/417
## Test Plan
New Markdown tests
