## Summary
This PR adds diagnostic for invalid binary operators in type
expressions. It should close https://github.com/astral-sh/ty/issues/706
if merged.
Please feel free to suggest better wordings for the diagnostic message.
## Test Plan
I modified `mdtest/annotations/invalid.md` and added a test for each
binary operator, and fixed tests that was broken by the new diagnostic.
## Summary
Part of [#117](https://github.com/astral-sh/ty/issues/117).
`TypeIs[]` is a special form that allows users to define their own
narrowing functions. Despite the syntax, `TypeIs` is not a generic and,
on its own, it is meaningless as a type.
[Officially](https://typing.python.org/en/latest/spec/narrowing.html#typeis),
a function annotated as returning a `TypeIs[T]` is a <i>type narrowing
function</i>, where `T` is called the <i>`TypeIs` return type</i>.
A `TypeIs[T]` may or may not be bound to a symbol. Only bound types have
narrowing effect:
```python
def f(v: object = object()) -> TypeIs[int]: ...
a: str = returns_str()
if reveal_type(f()): # Unbound: TypeIs[int]
reveal_type(a) # str
if reveal_type(f(a)): # Bound: TypeIs[a, int]
reveal_type(a) # str & int
```
Delayed usages of a bound type has no effect, however:
```python
b = f(a)
if b:
reveal_type(a) # str
```
A `TypeIs[T]` type:
* Is fully static when `T` is fully static.
* Is a singleton/single-valued when it is bound.
* Has exactly two runtime inhabitants when it is unbound: `True` and
`False`.
In other words, an unbound type have ambiguous truthiness.
It is possible to infer more precise truthiness for bound types;
however, that is not part of this change.
`TypeIs[T]` is a subtype of or otherwise assignable to `bool`. `TypeIs`
is invariant with respect to the `TypeIs` return type: `TypeIs[int]` is
neither a subtype nor a supertype of `TypeIs[bool]`. When ty sees a
function marked as returning `TypeIs[T]`, its `return`s will be checked
against `bool` instead. ty will also report such functions if they don't
accept a positional argument. Addtionally, a type narrowing function
call with no positional arguments (e.g., `f()` in the example above)
will be considered invalid.
## Test Plan
Markdown tests.
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
## Summary
This should address a problem that came up while working on
https://github.com/astral-sh/ruff/pull/18280. When looking up an
attribute (typically a dunder method) with the `MRO_NO_OBJECT_FALLBACK`
policy, the attribute is first looked up on the meta type. If the meta
type happens to be `type`, we go through the following branch in
`find_name_in_mro_with_policy`:
97ff015c88/crates/ty_python_semantic/src/types.rs (L2565-L2573)
The problem is that we now look up the attribute on `object` *directly*
(instead of just having `object` in the MRO). In this case,
`MRO_NO_OBJECT_FALLBACK` has no effect in `class_member_from_mro`:
c3feb8ce27/crates/ty_python_semantic/src/types/class.rs (L1081-L1082)
So instead, we need to explicitly respect the `MRO_NO_OBJECT_FALLBACK`
policy here by returning `Symbol::Unbound`.
## Test Plan
Added new Markdown tests that explain the ecosystem changes that we
observe.
## Summary
It doesn't seem to be necessary for our generics implementation to carry
the `GenericContext` in the `ClassBase` variants. Removing it simplifies
the code, fixes many TODOs about `Generic` or `Protocol` appearing
multiple times in MROs when each should only appear at most once, and
allows us to more accurately detect runtime errors that occur due to
`Generic` or `Protocol` appearing multiple times in a class's bases.
In order to remove the `GenericContext` from the `ClassBase` variant, it
turns out to be necessary to emulate
`typing._GenericAlias.__mro_entries__`, or we end up with a large number
of false-positive `inconsistent-mro` errors. This PR therefore also does
that.
Lastly, this PR fixes the inferred MROs of PEP-695 generic classes,
which implicitly inherit from `Generic` even if they have no explicit
bases.
## Test Plan
mdtests
We were not inducting into instance types and subclass-of types when
looking for legacy typevars, nor when apply specializations.
This addresses
https://github.com/astral-sh/ruff/pull/17832#discussion_r2081502056
```py
from __future__ import annotations
from typing import TypeVar, Any, reveal_type
S = TypeVar("S")
class Foo[T]:
def method(self, other: Foo[S]) -> Foo[T | S]: ... # type: ignore[invalid-return-type]
def f(x: Foo[Any], y: Foo[Any]):
reveal_type(x.method(y)) # revealed: `Foo[Any | S]`, but should be `Foo[Any]`
```
We were not detecting that `S` made `method` generic, since we were not
finding it when searching the function signature for legacy typevars.
## Summary
Suppress false positives for uses of PEP-695 `ParamSpec` in `Callable`
annotations:
```py
from typing_extensions import Callable
def f[**P](c: Callable[P, int]):
pass
```
addresses a comment here:
https://github.com/astral-sh/ty/issues/157#issuecomment-2859284721
## Test Plan
Adapted Markdown tests
## Summary
Fixes: astral-sh/ty#159
This PR adds support for using `Self` in methods.
When the type of an annotation is `TypingSelf` it is converted to a type
var based on:
https://typing.python.org/en/latest/spec/generics.html#self
I just skipped Protocols because it had more problems and the tests was
not useful.
Also I need to create a follow up PR that implicitly assumes `self`
argument has type `Self`.
In order to infer the type in the `in_type_expression` method I needed
to have scope id and semantic index available. I used the idea from
[this PR](https://github.com/astral-sh/ruff/pull/17589/files) to pass
additional context to this method.
Also I think in all places that `in_type_expression` is called we need
to have this context because `Self` can be there so I didn't split the
method into one version with context and one without.
## Test Plan
Added new tests from spec.
---------
Co-authored-by: Micha Reiser <micha@reiser.io>
Co-authored-by: Carl Meyer <carl@astral.sh>
## Summary
This PR adds support for the `__all__` module variable.
Reference spec:
https://typing.python.org/en/latest/spec/distributing.html#library-interface-public-and-private-symbols
This PR adds a new `dunder_all_names` query that returns a set of
`Name`s defined in the `__all__` variable of the given `File`. The query
works by implementing the `StatementVisitor` and collects all the names
by recognizing the supported idioms as mentioned in the spec. Any idiom
that's not recognized are ignored.
The current implementation is minimum to what's required for us to
remove all the false positives that this is causing. Refer to the
"Follow-ups" section below to see what we can do next. I'll a open
separate issue to keep track of them.
Closes: astral-sh/ty#106Closes: astral-sh/ty#199
### Follow-ups
* Diagnostics:
* Add warning diagnostics for unrecognized `__all__` idioms, `__all__`
containing non-string element
* Add an error diagnostic for elements that are present in `__all__` but
not defined in the module. This could lead to runtime error
* Maybe we should return `<type>` instead of `Unknown | <type>` for
`module.__all__`. For example:
https://playknot.ruff.rs/2a6fe5d7-4e16-45b1-8ec3-d79f2d4ca894
* Mark a symbol that's mentioned in `__all__` as used otherwise it could
raise (possibly in the future) "unused-name" diagnostic
Supporting diagnostics will require that we update the return type of
the query to be something other than `Option<FxHashSet<Name>>`,
something that behaves like a result and provides a way to check whether
a name exists in `__all__`, loop over elements in `__all__`, loop over
the invalid elements, etc.
## Ecosystem analysis
The following are the maximum amount of diagnostics **removed** in the
ecosystem:
* "Type <module '...'> has no attribute ..."
* `collections.abc` - 14
* `numpy` - 35534
* `numpy.ma` - 296
* `numpy.char` - 37
* `numpy.testing` - 175
* `hashlib` - 311
* `scipy.fft` - 2
* `scipy.stats` - 38
* "Module '...' has no member ..."
* `collections.abc` - 85
* `numpy` - 508
* `numpy.testing` - 741
* `hashlib` - 36
* `scipy.stats` - 68
* `scipy.interpolate` - 7
* `scipy.signal` - 5
The following modules have dynamic `__all__` definition, so `ty` assumes
that `__all__` doesn't exists in that module:
* `scipy.stats`
(95a5d6ea8b/scipy/stats/__init__.py (L665))
* `scipy.interpolate`
(95a5d6ea8b/scipy/interpolate/__init__.py (L221))
* `scipy.signal` (indirectly via
95a5d6ea8b/scipy/signal/_signal_api.py (L30))
* `numpy.testing`
(de784cd6ee/numpy/testing/__init__.py (L16-L18))
~There's this one category of **false positives** that have been added:~
Fixed the false positives by also ignoring `__all__` from a module that
uses unrecognized idioms.
<details><summary>Details about the false postivie:</summary>
<p>
The `scipy.stats` module has dynamic `__all__` and it imports a bunch of
symbols via star imports. Some of those modules have a mix of valid and
invalid `__all__` idioms. For example, in
95a5d6ea8b/scipy/stats/distributions.py (L18-L24),
2 out of 4 `__all__` idioms are invalid but currently `ty` recognizes
two of them and says that the module has a `__all__` with 5 values. This
leads to around **2055** newly added false positives of the form:
```
Type <module 'scipy.stats'> has no attribute ...
```
I think the fix here is to completely ignore `__all__`, not only if
there are invalid elements in it, but also if there are unrecognized
idioms used in the module.
</p>
</details>
## Test Plan
Add a bunch of test cases using the new `ty_extensions.dunder_all_names`
function to extract a module's `__all__` names.
Update various test cases to remove false positives around `*` imports
and re-export convention.
Add new test cases for named import behavior as `*` imports covers all
of it already (thanks Alex!).
@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 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`
