For Windows, this removes the need to add a breakpoint and modify a value to exit the debugger wait loop.
As a ridealong, this adds a 100ms sleep for all platforms such that waiting for the debugger doesn't hog the CPU thread.
cleanup `TypeVerifier`
We should merge it with the `TypeChecker` as we no longer bail in cases where it encounters an error since #111863.
It's quite inconsistent whether a check lives in the verifier or the `TypeChecker`, so this feels like a quite impactful cleanup. I expect that for this we may want to change the `TypeChecker` to also be a MIR visitor 🤔 this is non-trivial so I didn't fully do it in this PR.
Best reviewed commit by commit.
r? `@compiler-errors` feel free to reassign however
Asserts the maximum value that can be returned from `Vec::len`
Currently, casting `Vec<i32>` to `Vec<u32>` takes O(1) time:
```rust
// See <https://godbolt.org/z/hxq3hnYKG> for assembly output.
pub fn cast(vec: Vec<i32>) -> Vec<u32> {
vec.into_iter().map(|e| e as _).collect()
}
```
But the generated assembly is not the same as the identity function, which prevents us from casting `Vec<Vec<i32>>` to `Vec<Vec<u32>>` within O(1) time:
```rust
// See <https://godbolt.org/z/7n48bxd9f> for assembly output.
pub fn cast(vec: Vec<Vec<i32>>) -> Vec<Vec<u32>> {
vec.into_iter()
.map(|e| e.into_iter().map(|e| e as _).collect())
.collect()
}
```
This change tries to fix the problem. You can see the comparison here: <https://godbolt.org/z/jdManrKvx>.
Use `PtrMetadata` instead of `Len` in slice drop shims
I tried to do a bigger change in #134297 which didn't work, so here's the part I really wanted: Removing another use of `Len`, in favour of `PtrMetadata`.
Split into two commits where the first just adds a test, so you can look at the second commit to see how the drop shim for an array changes with this PR.
Reusing the same reviewer from the last one:
r? BoxyUwU
Optimize `is_ascii` for `str` and `[u8]` further
Replace the existing optimized function with one that enables auto-vectorization.
This is especially beneficial on x86-64 as `pmovmskb` can be emitted with careful structuring of the code. The instruction can detect non-ASCII characters one vector register width at a time instead of the current `usize` at a time check.
The resulting implementation is completely safe.
`case00_libcore` is the current implementation, `case04_while_loop` is this PR.
```
benchmarks:
ascii::is_ascii_slice::long::case00_libcore 22.25/iter +/- 1.09
ascii::is_ascii_slice::long::case04_while_loop 6.78/iter +/- 0.92
ascii::is_ascii_slice::medium::case00_libcore 2.81/iter +/- 0.39
ascii::is_ascii_slice::medium::case04_while_loop 1.56/iter +/- 0.78
ascii::is_ascii_slice::short::case00_libcore 5.55/iter +/- 0.85
ascii::is_ascii_slice::short::case04_while_loop 3.75/iter +/- 0.22
ascii::is_ascii_slice::unaligned_both_long::case00_libcore 26.59/iter +/- 0.66
ascii::is_ascii_slice::unaligned_both_long::case04_while_loop 5.78/iter +/- 0.16
ascii::is_ascii_slice::unaligned_both_medium::case00_libcore 2.97/iter +/- 0.32
ascii::is_ascii_slice::unaligned_both_medium::case04_while_loop 2.41/iter +/- 0.10
ascii::is_ascii_slice::unaligned_head_long::case00_libcore 23.71/iter +/- 0.79
ascii::is_ascii_slice::unaligned_head_long::case04_while_loop 7.83/iter +/- 1.31
ascii::is_ascii_slice::unaligned_head_medium::case00_libcore 3.69/iter +/- 0.54
ascii::is_ascii_slice::unaligned_head_medium::case04_while_loop 7.05/iter +/- 0.32
ascii::is_ascii_slice::unaligned_tail_long::case00_libcore 24.44/iter +/- 1.41
ascii::is_ascii_slice::unaligned_tail_long::case04_while_loop 5.12/iter +/- 0.18
ascii::is_ascii_slice::unaligned_tail_medium::case00_libcore 3.24/iter +/- 0.40
ascii::is_ascii_slice::unaligned_tail_medium::case04_while_loop 2.86/iter +/- 0.14
```
`unaligned_head_medium` is the main regression in the benchmarks. It is a 32 byte string being sliced `bytes[1..]`.
The first commit can be used to run the benchmarks against the current core implementation.
Previous implementation was done in #74066
---
Two potential drawbacks of this implementation are that it increases instruction count and may regress other platforms/architectures. The benches here may also be too artificial to glean much insight from.
https://rust.godbolt.org/z/G9znGfY36
Foundations of location-sensitive polonius
I'd like to land the prototype I'm describing in the [polonius project goal](https://github.com/rust-lang/rust-project-goals/issues/118). It still is incomplete and naive and terrible but it's working "well enough" to consider landing.
I'd also like to make review easier by not opening a huge PR, but have a couple small-ish ones (the +/- line change summary of this PR looks big, but >80% is moving datalog to a single place).
This PR starts laying the foundation for that work:
- it refactors and collects 99% of the old datalog fact gen, which was spread around everywhere, into a single dedicated module. It's still present at 3 small places (one of which we should revert anyways) that are kinda deep within localized components and are not as easily extractable into the rest of fact gen, so it's fine for now.
- starts introducing the localized constraints, the building blocks of the naive way of implementing the location-sensitive analysis in-tree, which is roughly sketched out in https://smallcultfollowing.com/babysteps/blog/2023/09/22/polonius-part-1/ and https://smallcultfollowing.com/babysteps/blog/2023/09/29/polonius-part-2/ but with a different vibe than per-point environments described in these posts, just `r1@p: r2@q` constraints.
- sets up the skeleton of generating these localized constraints: converting NLL typeck constraints, and creating liveness constraints
- introduces the polonius dual to NLL MIR to help development and debugging. It doesn't do much currently but is a way to see these localized constraints: it's an NLL MIR dump + a dumb listing of the constraints, that can be dumped with `-Zdump-mir=polonius -Zpolonius=next`. Its current state is not intended to be a long-term thing, just for testing purposes -- I will replace its contents in the future with a different approach (an HTML+js file where we can more easily explore/filter/trace these constraints and loan reachability, have mermaid graphs of the usual graphviz dumps, etc).
I've started documenting the approach in this PR, I'll add more in the future. It's quite simple, and should be very clear when more constraints are introduced anyways.
r? `@matthewjasper`
Best reviewed per commit so that the datalog move is less bothersome to read, but if you'd prefer we separate that into a different PR, I can do that (and michael has offered to review these more mechanical changes if it'd help).
handle member constraints directly in the mir type checker
cleaner, faster, easier to change going forward :> fixes#109654
r? `@oli-obk` `@compiler-errors`
Which caused the macros of the popular `tracing` crate to not offer completions.
The reason is rather complicated: it boils down to macro ignoring their input and completion always choosing the first expansion.
