## Summary
This allows us to handle self-referential bounds/constraints/defaults
without panicking.
Handles more cases from https://github.com/astral-sh/ty/issues/256
This also changes the way we infer the types of legacy TypeVars. Rather
than understanding a constructor call to `typing[_extension].TypeVar`
inside of any (arbitrarily nested) expression, and having to use a
special `assigned_to` field of the semantic index to try to best-effort
figure out what name the typevar was assigned to, we instead understand
the creation of a legacy `TypeVar` only in the supported syntactic
position (RHS of a simple un-annotated assignment with one target). In
any other position, we just infer it as creating an opaque instance of
`typing.TypeVar`. (This behavior matches all other type checkers.)
So we now special-case TypeVar creation in `TypeInferenceBuilder`, as a
special case of an assignment definition, rather than deeper inside call
binding. This does mean we re-implement slightly more of
argument-parsing, but in practice this is minimal and easy to handle
correctly.
This is easier to implement if we also make the RHS of a simple (no
unpacking) one-target assignment statement no longer a standalone
expression. Which is fine to do, because simple one-target assignments
don't need to infer the RHS more than once. This is a bonus performance
(0-3% across various projects) and significant memory-usage win, since
most assignment statements are simple one-target assignment statements,
meaning we now create many fewer standalone-expression salsa
ingredients.
This change does mean that inference of manually-constructed
`TypeAliasType` instances can no longer find its Definition in
`assigned_to`, which regresses go-to-definition for these aliases. In a
future PR, `TypeAliasType` will receive the same treatment that
`TypeVar` did in this PR (moving its special-case inference into
`TypeInferenceBuilder` and supporting it only in the correct syntactic
position, and lazily inferring its value type to support recursion),
which will also fix the go-to-definition regression. (I decided a
temporary edge-case regression is better in this case than doubling the
size of this PR.)
This PR also tightens up and fixes various aspects of the validation of
`TypeVar` creation, as seen in the tests.
We still (for now) treat all typevars as instances of `typing.TypeVar`,
even if they were created using `typing_extensions.TypeVar`. This means
we'll wrongly error on e.g. `T.__default__` on Python 3.11, even if `T`
is a `typing_extensions.TypeVar` instance at runtime. We share this
wrong behavior with both mypy and pyrefly. It will be easier to fix
after we pull in https://github.com/python/typeshed/pull/14840.
There are some issues that showed up here with typevar identity and
`MarkTypeVarsInferable`; the fix here (using the new `original` field
and `is_identical_to` methods on `BoundTypeVarInstance` and
`TypeVarInstance`) is a bit kludgy, but it can go away when we eliminate
`MarkTypeVarsInferable`.
## Test Plan
Added and updated mdtests.
### Conformance suite impact
The impact here is all positive:
* We now correctly error on a legacy TypeVar with exactly one constraint
type given.
* We now correctly error on a legacy TypeVar with both an upper bound
and constraints specified.
### Ecosystem impact
Basically none; in the setuptools case we just issue slightly different
errors on an invalid TypeVar definition, due to the modified validation
code.
---------
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
## Summary
The `types` module currently re-exports a lot of functions and data
types from `types::ide_support`. One of these is called `Member`, a name
that is overloaded several times already. And I'd like to add one more
`Member` struct soon. Making the whole `ide_support` module public seems
cleaner to me, anyway.
## Test Plan
Pure refactoring.
## Summary
Bump the latest supported Python version of ty to 3.14 and updates some
references from 3.13 to 3.14.
This also fixes a bug with `dataclasses.field` on 3.14 (which adds a new
keyword-only parameter to that function, breaking our previously naive
matching on the parameter structure of that function).
## Test Plan
A `ty check` on a file with template strings (without any further
configuration) doesn't raise errors anymore.
We don't attempt to fix these yet. I think there are bigger fish to fry.
I came up with these based on this discussion:
https://github.com/astral-sh/ruff/pull/20439#discussion_r2357769518
Here's one example:
```
if ...:
from foo import MAGIC
else:
from bar import MAGIC
MAG<CURSOR>
```
Now in this example, completions will include `MAGIC` from the local
scope. That is, auto-import is involved with that completion. But at
present, auto-import will suggest importing `foo` and `bar` because we
haven't de-duplicated completions yet. Which is fine.
Here's another example:
```
if ...:
import foo as fubar
else:
import bar as fubar
MAG<CURSOR>
```
Now here, there is no `MAGIC` symbol in scope. So auto-import is in
play. Let's assume that the user selects `MAGIC` from `foo` in this
example. (`bar` also has `MAGIC`.)
Since we currently ignore the declaration site for symbols with
multiple possible bindings, the importer today doesn't know that
`fubar` _could_ contain `MAGIC`. But even if it did, what would we do
with that information? Should we do this?
```
if ...:
import foo as fubar
from foo import MAGIC
else:
import bar as fubar
MAGIC
```
Or could we reason that `bar` also has `MAGIC`?
```
if ...:
import foo as fubar
else:
import bar as fubar
fubar.MAGIC
```
But if we did that, we're making an assumption of user intent, since
they *selected* `foo.MAGIC` but not `bar.MAGIC`.
Anyway, I don't think we need to settle on an answer today, but I
wanted to capture some of these tricky cases in tests at the very
least.
This is somewhat inspired by a similar abstraction in
`ruff_linter`. The main idea is to create an importer once
for a module that you want to add imports to. And then call
`import` to generate an edit for each symbol you want to
add.
I haven't done any performance profiling here yet. I don't
know if it will be a bottleneck. In particular, I do expect
`Importer::import` (but not `Importer::new`) to get called
many times for a single completion request when auto-import
is enabled. Particularly in projects with a lot of unimported
symbols. Because I don't know the perf impact, I didn't do
any premature optimization here. But there are surely some
low hanging fruit if this does prove to be a problem.
New tests make up a big portion of the diff here. I tried to
think of a bunch of different cases, although I'm sure there
are more.
This rejiggers some stuff in the main completions entrypoint
in `ty_ide`. A more refined `Completion` type is defined
with more information. In particular, to support auto-import,
we now include a module name and an "edit" for inserting an
import.
This also rolls the old "detailed completion" into the new
completion type. Previously, we were relying on the completion
type for `ty_python_semantic`. But `ty_ide` is really the code
that owns completions.
Note that this code doesn't build as-is. The next commit will
add the importer used here in `add_unimported_completions`.
Based on how this API is currently implemented, this doesn't
really cost us anything. But it gives us access to more
information about where the symbol is defined.
I think this is a better home for it. This way, `ty_ide`
more clearly owns how the "kind" of a completion is computed.
In particular, it is computed differently for things where
we know its type versus unimported symbols.
## Summary
Adds support for generic PEP695 type aliases, e.g.,
```python
type A[T] = T
reveal_type(A[int]) # A[int]
```
Resolves https://github.com/astral-sh/ty/issues/677.
It's almost certainly bad juju to show literally every single possible
symbol when completions are requested but there is nothing typed yet.
Moreover, since there are so many symbols, it is likely beneficial to
try and winnow them down before sending them to the client.
This change tries to extract text that has been typed and then uses
that as a query to listing all available symbols.
Instead of waiting to land auto-import until it is "ready
for users," it'd be nicer to get incremental progress merged
to `main`. By making it an experimental opt-in, we avoid making
the default completion experience worse but permit developers
and motivated users to try it.
This re-works the `all_symbols` based added previously to work across
all modules available, and not just what is directly in the workspace.
Note that we always pass an empty string as a query, which makes the
results always empty. We'll fix this in a subsequent commit.
This is similar to a change made in the "list top-level modules"
implementation that had been masked by poor Salsa failure modes.
Basically, if we can't find a root here, it *must* be a bug. And if we
just silently skip over it, we risk voiding Salsa's purity contract,
leading to more difficult to debug panics.
This did cause one test to fail, but only because the test wasn't
properly setting up roots.
This introduces `GotoTarget::Call` that represents the kind of
ambiguous/overloaded click of a callable-being-called:
```py
x = mymodule.MyClass(1, 2)
^^^^^^^
```
This is equivalent to `GotoTarget::Expression` for the same span but
enriched
with information about the actual callable implementation.
That is, if you click on `MyClass` in `MyClass()` it is *both* a
reference to the class and to the initializer of the class. Therefore
it would be ideal for goto-* and docstrings to be some intelligent
merging of both the class and the initializer.
In particular the callable-implementation (initializer) is prioritized
over the callable-itself (class) so when showing docstrings we will
preferentially show the docs of the initializer if it exists, and then
fallback to the docs of the class.
For goto-definition/goto-declaration we will yield both the class and
the initializer, requiring you to pick which you want (this is perhaps
needlessly pedantic but...).
Fixes https://github.com/astral-sh/ty/issues/898
Fixes https://github.com/astral-sh/ty/issues/1010
I decided to split out the addition of these tests from other PRs so
that it's easier to follow changes to the LSP's function call handling.
I'm not particularly concerned with whether the results produced by
these tests are "good" or "bad" in this PR, I'm just establishing a
baseline.
## Summary
Our internal inlay hints structure (`ty_ide::InlayHint`) now more
closely resembles `lsp_types::InlayHint`.
This mainly allows us to convert to `lsp_types::InlayHint` with less
hassle, but it also allows us to manage the different parts of the inlay
hint better, which in the future will allow us to implement features
like goto on the type part of the type inlay hint.
It also really isn't important to store a specific `Type` instance in
the `InlayHintContent`. So we remove this and use `InlayHintLabel`
instead which just shows the representation of the type (along with
other information).
We see a similar structure used in rust-analyzer too.
In effect, we make the Salsa query aspect keyed only on whether we want
global symbols. We move everything else (hierarchical and querying) to
an aggregate step *after* the query.
This was a somewhat involved change since we want to return a flattened
list from visiting the source while also preserving enough information
to reform the symbols into a hierarchical structure that the LSP
expects. But I think overall the API has gotten simpler and we encode
more invariants into the type system. (For example, previously you got a
runtime assertion if you tried to provide a query string while enabling
hierarchical mode. But now that's prevented by construction.)
Basically, this splits the implementation into two pieces:
the first piece does the traversal and finds *all* symbols
across the workspace. The second piece does filtering based
on a user provided query string. Only the first piece is
cached by Salsa.
This brings warm "workspace symbols" requests down from
500-600ms to 100-200ms.
While this doesn't typically matter, when ty returns a very
large list of symbols, this can have an impact. Specifically,
when searching `async` in home-assistant, this gets times
closer to 500ms versus closer to 600ms before this change.
It looks like an overall ~50ms improvement (so around 10%),
but variance is all over the place and I didn't do any
statistical tests.
But this does make intuitive sense. Previously, we were
allocating intermediate strings, doing UTF-8 decoding and
consulting Unicode casing tables. Now we're just doing what
is likely a single DFA scan. In effect, we front load all
of the Unicode junk into regex compilation.
There is a small amount of subtlety to this matching routine,
and it could be implemented in a faster way. So let's right some
tests for what we have to ensure we don't break anything when
we optimize it.
## Summary
We use the `System` abstraction in ty to abstract away the host/system
on which ty runs.
This has a few benefits:
* Tests can run in full isolation using a memory system (that uses an
in-memory file system)
* The LSP has a custom implementation where `read_to_string` returns the
content as seen by the editor (e.g. unsaved changes) instead of always
returning the content as it is stored on disk
* We don't require any file system polyfills for wasm in the browser
However, it does require extra care that we don't accidentally use
`std::fs` or `std::env` (etc.) methods in ty's code base (which is very
easy).
This PR sets up Clippy and disallows the most common methods, instead
pointing users towards the corresponding `System` methods.
The setup is a bit awkward because clippy doesn't support inheriting
configurations. That means, a crate can only override the entire
workspace configuration or not at all.
The approach taken in this PR is:
* Configure the disallowed methods at the workspace level
* Allow `disallowed_methods` at the workspace level
* Enable the lint at the crate level using the warn attribute (in code)
The obvious downside is that it won't work if we ever want to disallow
other methods, but we can figure that out once we reach that point.
What about false positives: Just add an `allow` and move on with your
life :) This isn't something that we have to enforce strictly; the goal
is to catch accidental misuse.
## Test Plan
Clippy found a place where we incorrectly used `std::fs::read_to_string`
While implementing similar logic for initializers I noticed that this
code appeared to be walking the ancestors in the wrong direction, and so
if you have nested function calls it would always grab the outermost one
instead of the closest-ancestor.
The four copies of the test are because there's something really evil in
our caching that can't seem to be demonstrated in our cursor testing
framework, which I'm filing a followup for.
This is a fairly simple but effective way to add docstrings to like 95%
of completions from initial experimentation.
Fixes https://github.com/astral-sh/ty/issues/1036
Although ironically this approach *does not* work specifically for
`print` and I haven't looked into why.
This makes `import <CURSOR>` and `from <CURSOR>` completions work.
This also makes `import os.<CURSOR>` and `from os.<CURSOR>`
completions work. In this case, we are careful to only offer
submodule completions.
These tests were added as a regression check that a panic
didn't occur. So we were asserting a bit more than necessary.
In particular, these will soon return completions for modules,
which creates large snapshots that we don't need.
So modify these to just check there is sensible output that
doesn't panic.
Requires some iteration, but this includes the most tedious part --
threading a new concept of DisplaySettings through every type display
impl. Currently it only holds a boolean for multiline, but in the future
it could also take other things like "render to markdown" or "here's
your base indent if you make a newline".
For types which have exposed display functions I've left the old
signature as a compatibility polyfill to avoid having to audit
everywhere that prints types right off the bat (notably I originally
tried doing multiline functions unconditionally and a ton of things
churned that clearly weren't ready for multi-line (diagnostics).
The only real use of this API in this PR is to multiline render function
types in hovers, which is the highest impact (see snapshot changes).
Fixes https://github.com/astral-sh/ty/issues/1000
`Type::TypeVar` now distinguishes whether the typevar in question is
inferable or not.
A typevar is _not inferable_ inside the body of the generic class or
function that binds it:
```py
def f[T](t: T) -> T:
return t
```
The infered type of `t` in the function body is `TypeVar(T,
NotInferable)`. This represents how e.g. assignability checks need to be
valid for all possible specializations of the typevar. Most of the
existing assignability/etc logic only applies to non-inferable typevars.
Outside of the function body, the typevar is _inferable_:
```py
f(4)
```
Here, the parameter type of `f` is `TypeVar(T, Inferable)`. This
represents how e.g. assignability doesn't need to hold for _all_
specializations; instead, we need to find the constraints under which
this specific assignability check holds.
This is in support of starting to perform specialization inference _as
part of_ performing the assignability check at the call site.
In the [[POPL2015][]] paper, this concept is called _monomorphic_ /
_polymorphic_, but I thought _non-inferable_ / _inferable_ would be
clearer for us.
Depends on #19784
[POPL2015]: https://doi.org/10.1145/2676726.2676991
---------
Co-authored-by: Carl Meyer <carl@astral.sh>
## Summary
This PR renames `ty.inlayHints.functionArgumentNames` to
`ty.inlayHints.callArgumentNames` which would contain both function
calls and class initialization calls i.e., it represents a generic call
expression.
## Summary
This PR changes the default of `ty.inlayHints.*` settings to `true`.
I somehow missed this in my initial PR.
This is marked as `internal` because it's not yet released.
## Summary
For PEP 695 generic functions and classes, there is an extra "type
params scope" (a child of the outer scope, and wrapping the body scope)
in which the type parameters are defined; class bases and function
parameter/return annotations are resolved in that type-params scope.
This PR fixes some longstanding bugs in how we resolve name loads from
inside these PEP 695 type parameter scopes, and also defers type
inference of PEP 695 typevar bounds/constraints/default, so we can
handle cycles without panicking.
We were previously treating these type-param scopes as lazy nested
scopes, which is wrong. In fact they are eager nested scopes; the class
`C` here inherits `int`, not `str`, and previously we got that wrong:
```py
Base = int
class C[T](Base): ...
Base = str
```
But certain syntactic positions within type param scopes (typevar
bounds/constraints/defaults) are lazy at runtime, and we should use
deferred name resolution for them. This also means they can have cycles;
in order to handle that without panicking in type inference, we need to
actually defer their type inference until after we have constructed the
`TypeVarInstance`.
PEP 695 does specify that typevar bounds and constraints cannot be
generic, and that typevar defaults can only reference prior typevars,
not later ones. This reduces the scope of (valid from the type-system
perspective) cycles somewhat, although cycles are still possible (e.g.
`class C[T: list[C]]`). And this is a type-system-only restriction; from
the runtime perspective an "invalid" case like `class C[T: T]` actually
works fine.
I debated whether to implement the PEP 695 restrictions as a way to
avoid some cycles up-front, but I ended up deciding against that; I'd
rather model the runtime name-resolution semantics accurately, and
implement the PEP 695 restrictions as a separate diagnostic on top.
(This PR doesn't yet implement those diagnostics, thus some `# TODO:
error` in the added tests.)
Introducing the possibility of cyclic typevars made typevar display
potentially stack overflow. For now I've handled this by simply removing
typevar details (bounds/constraints/default) from typevar display. This
impacts display of two kinds of types. If you `reveal_type(T)` on an
unbound `T` you now get just `typing.TypeVar` instead of
`typing.TypeVar("T", ...)` where `...` is the bound/constraints/default.
This matches pyright and mypy; pyrefly uses `type[TypeVar[T]]` which
seems a bit confusing, but does include the name. (We could easily
include the name without cycle issues, if there's a syntax we like for
that.)
It also means that displaying a generic function type like `def f[T:
int](x: T) -> T: ...` now displays as `f[T](x: T) -> T` instead of `f[T:
int](x: T) -> T`. This matches pyright and pyrefly; mypy does include
bound/constraints/defaults of typevars in function/callable type
display. If we wanted to add this, we would either need to thread a
visitor through all the type display code, or add a `decycle` type
transformation that replaced recursive reoccurrence of a type with a
marker.
## Test Plan
Added mdtests and modified existing tests to improve their correctness.
After this PR, there's only a single remaining py-fuzzer seed in the
0-500 range that panics! (Before this PR, there were 10; the fuzzer
likes to generate cyclic PEP 695 syntax.)
## Ecosystem report
It's all just the changes to `TypeVar` display.
This also reintroduces the `ResolvedDefinition::Module` variant because
reverse-engineering it in several places is a bit confusing. In an ideal
world we wouldn't have `ResolvedDefinition::FileWithRange` as it kinda
kills the ability to do richer analysis, so I want to chip away at its
scope wherever I can (currently it's used to point at asname parts of
import statements when doing `ImportAliasResolution::PreserveAliases`,
and also keyword arguments).
This also makes a kind of odd change to allow a hover to *only* produce
a docstring. This works around an oddity where hovering over a module
name in an import fails to resolve to a `ty` even though hovering over
uses of that imported name *does*.
The two fixed tests reflect the two interesting cases here.
This PR has several components:
* Introduce a Docstring String wrapper type that has render_plaintext
and render_markdown methods, to force docstring handlers to pick a
rendering format
* Implement [PEP-257](https://peps.python.org/pep-0257/) docstring
trimming for it
* The markdown rendering just renders the content in a plaintext
codeblock for now (followup work)
* Introduce a `DefinitionsOrTargets` type representing the partial
evaluation of `GotoTarget::get_definition_targets` to ideally stop at
getting `ResolvedDefinitions`
* Add `declaration_targets`, `definition_targets`, and `docstring`
methods to `DefinitionsOrTargets` for the 3 usecases we have for this
operation
* `docstring` is of course the key addition here, it uses the same basic
logic that `signature_help` was using: first check the goto-declaration
for docstrings, then check the goto-definition for docstrings.
* Refactor `signature_help` to use the new APIs instead of implementing
it itself
* Not fixed in this PR: an issue I found where `signature_help` will
erroneously cache docs between functions that have the same type (hover
docs don't have this bug)
* A handful of new tests and additions to tests to add docstrings in
various places and see which get caught
Examples of it working with stdlib, third party, and local definitions:
<img width="597" height="120" alt="Screenshot 2025-08-12 at 2 13 55 PM"
src="https://github.com/user-attachments/assets/eae54efd-882e-4b50-b5b4-721595224232"
/>
<img width="598" height="281" alt="Screenshot 2025-08-12 at 2 14 06 PM"
src="https://github.com/user-attachments/assets/5c9740d5-a06b-4c22-9349-da6eb9a9ba5a"
/>
<img width="327" height="180" alt="Screenshot 2025-08-12 at 2 14 18 PM"
src="https://github.com/user-attachments/assets/3b5647b9-2cdd-4c5b-bb7d-da23bff1bcb5"
/>
Notably modules don't work yet (followup work):
<img width="224" height="83" alt="Screenshot 2025-08-12 at 2 14 37 PM"
src="https://github.com/user-attachments/assets/7e9dcb70-a10e-46d9-a85c-9fe52c3b7e7b"
/>
Notably we don't show docs for an item if you hover its actual
definition (followup work, but also, not the most important):
<img width="324" height="69" alt="Screenshot 2025-08-12 at 2 16 54 PM"
src="https://github.com/user-attachments/assets/d4ddcdd8-c3fc-4120-ac93-cefdf57933b4"
/>
Carl Meyer
David Peter
github-actions[bot]
Takayuki Maeda
Matthew Mckee
Andrew Gallant
Ibraheem Ahmed
Aria Desires
Micha Reiser
Alex Waygood
Douglas Creager
Dhruv Manilawala