## Summary
There have been some larger-scale updates to the conformance suite since
we introduced our CI job, so it seems sensible to bump the version of
the conformance suite to the latest state.
## Test plan
This is a bit awkward to test. Here is the diff of running ty on the
conformance suite before and after this bump. I filtered out line/column
information (`sed -re 's/\.py:[0-9]+:[0-9]+:/.py/'`) to avoid spurious
changes from content that has simply been moved around.
```diff
1,2c1
< fatal[panic] Panicked at /home/shark/.cargo/git/checkouts/salsa-e6f3bb7c2a062968/cdd0b85/src/function/execute.rs:419:17 when checking `/home/shark/typing/conformance/tests/aliases_typealiastype.py`: `infer_definition_types(Id(1a99c)): execute: too many cycle iterations`
< src/type_checker.py error[unresolved-import] Cannot resolve imported module `tqdm`
---
> fatal[panic] Panicked at /home/shark/.cargo/git/checkouts/salsa-e6f3bb7c2a062968/cdd0b85/src/function/execute.rs:419:17 when checking `/home/shark/typing/conformance/tests/aliases_typealiastype.py`: `infer_definition_types(Id(6e4c)): execute: too many cycle iterations`
205,206d203
< tests/constructors_call_metaclass.py error[type-assertion-failure] Argument does not have asserted type `Never`
< tests/constructors_call_metaclass.py error[missing-argument] No argument provided for required parameter `x` of function `__new__`
268a266,273
> tests/dataclasses_match_args.py error[type-assertion-failure] Argument does not have asserted type `tuple[Literal["x"]]`
> tests/dataclasses_match_args.py error[unresolved-attribute] Class `DC1` has no attribute `__match_args__`
> tests/dataclasses_match_args.py error[type-assertion-failure] Argument does not have asserted type `tuple[Literal["x"]]`
> tests/dataclasses_match_args.py error[unresolved-attribute] Class `DC2` has no attribute `__match_args__`
> tests/dataclasses_match_args.py error[type-assertion-failure] Argument does not have asserted type `tuple[Literal["x"]]`
> tests/dataclasses_match_args.py error[unresolved-attribute] Class `DC3` has no attribute `__match_args__`
> tests/dataclasses_match_args.py error[unresolved-attribute] Class `DC4` has no attribute `__match_args__`
> tests/dataclasses_match_args.py error[type-assertion-failure] Argument does not have asserted type `tuple[()]`
339a345
> tests/directives_assert_type.py error[type-assertion-failure] Argument does not have asserted type `Any`
424a431
> tests/generics_defaults.py error[type-assertion-failure] Argument does not have asserted type `Any`
520a528,529
> tests/generics_syntax_infer_variance.py error[invalid-return-type] Function always implicitly returns `None`, which is not assignable to return type `T@ShouldBeCovariant2 | Sequence[T@ShouldBeCovariant2]`
> tests/generics_syntax_infer_variance.py error[invalid-return-type] Function always implicitly returns `None`, which is not assignable to return type `int`
711a721
> tests/namedtuples_define_class.py error[too-many-positional-arguments] Too many positional arguments: expected 3, got 4
795d804
< tests/protocols_explicit.py error[invalid-attribute-access] Cannot assign to ClassVar `cm1` from an instance of type `Self@__init__`
822,823d830
< tests/qualifiers_annotated.py error[invalid-syntax] named expression cannot be used within a type annotation
< tests/qualifiers_annotated.py error[invalid-syntax] await expression cannot be used within a type annotation
922a930,953
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `Movie`: Unknown key "novel_adaptation"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `Movie`: Unknown key "year"
> tests/typeddicts_extra_items.py error[type-assertion-failure] Argument does not have asserted type `bool`
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `Movie`: Unknown key "novel_adaptation"
> tests/typeddicts_extra_items.py error[invalid-argument-type] Invalid argument to key "year" with declared type `int` on TypedDict `InheritedMovie`: value of type `None`
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `InheritedMovie`: Unknown key "other_extra_key"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `MovieEI`: Unknown key "year"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `MovieExtraInt`: Unknown key "year"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `MovieExtraStr`: Unknown key "description"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `MovieExtraInt`: Unknown key "year"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `NonClosedMovie`: Unknown key "year"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `ExtraMovie`: Unknown key "year"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `ExtraMovie`: Unknown key "language"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `ClosedMovie`: Unknown key "year"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `MovieExtraStr`: Unknown key "summary"
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `MovieExtraInt`: Unknown key "year"
> tests/typeddicts_extra_items.py error[invalid-assignment] Object of type `dict[Unknown | str, Unknown | str | int]` is not assignable to `Mapping[str, int]`
> tests/typeddicts_extra_items.py error[type-assertion-failure] Argument does not have asserted type `list[tuple[str, int | str]]`
> tests/typeddicts_extra_items.py error[type-assertion-failure] Argument does not have asserted type `list[int | str]`
> tests/typeddicts_extra_items.py error[unresolved-attribute] Object of type `IntDict` has no attribute `clear`
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `IntDictWithNum`: Unknown key "bar" - did you mean "num"?
> tests/typeddicts_extra_items.py error[type-assertion-failure] Argument does not have asserted type `tuple[str, int]`
> tests/typeddicts_extra_items.py error[invalid-key] Cannot access `IntDictWithNum` with a key of type `str`. Only string literals are allowed as keys on TypedDicts.
> tests/typeddicts_extra_items.py error[invalid-key] Invalid key for TypedDict `IntDictWithNum` of type `str`
950c981
< Found 949 diagnostics
---
> Found 980 diagnostics
```
## Summary
Also bumps `cargo dist` to 0.30, and moves us
back to the upstream copy of `dist` now that
the latest version has integrated our fork's
patches.
## Test Plan
See what happens in CI 🙂
---------
Signed-off-by: William Woodruff <william@astral.sh>
## Summary
More dogfooding of our own tools.
I didn't touch the build-binaries workflow (it's scary) or the
publish-docs workflow (which doesn't run on PRs) or the ruff-lsp job in
the ci.yaml workflow (ruff-lsp is deprecated; it doesn't seem worth
making changes there).
## Test Plan
CI on this PR
## Summary
I considered making a dedicated cargo profile for these, but the
`profiling` profile basically made all the modifications to `release`
that I would have also made.
## Test Plan
CI on this PR
This is still early days, but I hope the framework introduced here makes
it very easy to add new truth data. Truth data should be seen as a form
of regression test for non-ideal ranking of completion suggestions.
I think it would help to read `crates/ty_completion_eval/README.md`
first to get an idea of what you're reviewing.
## Summary
Pull in a small upstream change
(6ce3a60957),
because some type check times were close to the previous limits, which
prevents us from seeing diagnostics diffs (in case they run into a
timeout).
## Summary
Generate a timing diff across the whole ecosystem and deploy it to
CloudFlare pages. The timing information is collected already, we just
need to create and upload the HTML report.
The timing results are just based on a single run. No statistical
analysis across multiple runs or similar is performed. This means that
results can be noisy, as can be seen on this PR, where we see slowdowns
up to 1.26× and speedups down to 0.89×, even though the change should be
neutral. Across all projects, these random events cancel out and we see
an average factor of 1.01×. So I think this feature can still be
interesting, given that it comes "for free". We just need to keep in
mind that it will be noisy, and shouldn't read too much into these
results.
## Test Plan
CI run on this PR (see the new *timing results* link).
