Update the bootstrap compiler
This updates the bootstrap compiler, notably leaving out a change to enable semicolon in macro expressions lint, because stdarch still depends on the old behavior.
- Link from `core::hash` to `HashMap` and `HashSet`
- Link from HashMap and HashSet to the module-level documentation on
when to use the collection
- Link from several collections to Wikipedia articles on the general
concept
add diagnostic items for OsString/PathBuf/Owned as well as to_vec on slice
This is adding diagnostic items to be used by rust-lang/rust-clippy#6730, but my understanding is the clippy-side change does need to be done over there since I am adding a new clippy feature.
Add diagnostic items to the following types:
OsString (os_string_type)
PathBuf (path_buf_type)
Owned (to_owned_trait)
As well as the to_vec method on slice/[T]
Improve design of `assert_len`
It was discussed in the [tracking issue](https://github.com/rust-lang/rust/issues/76393#issuecomment-761765448) that `assert_len`'s name and usage are confusing. This PR improves them based on a suggestion by ``@scottmcm`` in that issue.
I also improved the documentation to make it clearer when you might want to use this method.
Old example:
```rust
let range = range.assert_len(slice.len());
```
New example:
```rust
let range = range.ensure_subset_of(..slice.len());
```
Fixes#81157
BTree: move more shared iterator code into navigate.rs
The functions in navigate.rs only exist to support iterators, and these look easier on my eyes if there is a shared `struct` with the recurring pair of handles.
r? `@Mark-Simulacrum`
BTreeMap: gather and decompose reusable tree fixing functions
This is kind of pushing it as a standalone refactor, probably only useful for #81075 (or similar).
r? `@Mark-Simulacrum`
Because child > 0, the two statements are equivalent, but using
saturating_sub and <= yields in faster code. This is most notable in the
binary_heap::bench_into_sorted_vec benchmark, which shows a speedup of
1.26x, which uses sift_down_range internally. The speedup of pop (that
uses sift_down_to_bottom internally) is much less significant as the
sifting method is not called in a loop.
Document BinaryHeap unsafe functions
`BinaryHeap` contains some private safe functions but that are actually unsafe to call. This PR marks them `unsafe` and documents all the `unsafe` function calls inside them.
While doing this I might also have found a bug: some "SAFETY" comments in `sift_down_range` and `sift_down_to_bottom` are valid only if you assume that `child` doesn't overflow. However it may overflow if `end > isize::MAX` which can be true for ZSTs (but I think only for them). I guess the easiest fix would be to skip any sifting if `mem::size_of::<T> == 0`.
Probably conflicts with #81127 but solving the eventual merge conflict should be pretty easy.
BTree: share panicky test code & test panic during clear, clone
Bases almost all tests of panic on the same, richer definition, and extends it to cloning to test panic during clone.
r? ```@Mark-Simulacrum```
The `may_have_side_effect` is an implementation detail of `TrustedRandomAccess`
trait. It describes if obtaining an iterator element may have side effects. It
is currently implemented as an associated function.
Turn `may_have_side_effect` into an associated constant. This makes the
value immediately available to the optimizer.
Add diagnostic items to the following types:
OsString (os_string_type)
PathBuf (path_buf_type)
Owned (to_owned_trait)
As well as the to_vec method on slice/[T]
BTree: remove outdated traces of coercions
The introduction of `marker::ValMut` (#75200) meant iterators no longer see mutable keys but their code still pretends it does. And settle on the majority style `Some(unsafe {…})` over `unsafe { Some(…) }`.
r? `@Mark-Simulacrum`
Initialize BTree nodes directly in the heap
We can avoid any stack-local nodes entirely by using `Box::new_uninit`, and since the nodes are mostly `MaybeUninit` fields, we only need a couple of actual writes before `assume_init`. This should help with the stack overflows in #81444, and may also improve performance in general.
r? `@Mark-Simulacrum`
cc `@ssomers`
Added tests to drain an empty vec
Discovered this kind of issue in an unrelated library.
The author copied the tests from here and AFAIK, there are no tests for this particular case.
https://github.com/LeonineKing1199/minivec/pull/19
Signed-off-by: Hanif Bin Ariffin <hanif.ariffin.4326@gmail.com>
Add docs for shared_from_slice From impls
The advantage of making these docs is mostly in pointing out that these
functions all make new allocations and copy/clone/move the source into them.
These docs are on the function, and not the `impl` block, to avoid showing
the "[+] show undocumented items" button.
CC #51430
Fix doc test for Vec::retain(), now passes clippy::eval_order_dependence
Doc test for Vec::retain() works correctly but is flagged by clippy::eval_order_dependence. Fix avoids the issue by using an iterator instead of an index.
Discovered this kind of issue in an unrelated library.
The author copied the tests from here and AFAIK, there are no tests for this particular case.
Signed-off-by: Hanif Bin Ariffin <hanif.ariffin.4326@gmail.com>
The advantage of making these docs is mostly in pointing out that these
functions all make new allocations and copy/clone/move the source into them.
These docs are on the function, and not the `impl` block, to avoid showing
the "[+] show undocumented items" button.
CC #51430
BTreeMap: disentangle Drop implementation from IntoIter
No longer require every `BTreeMap` to dig up its last leaf edge before dying. This speeds up the `clone_` benchmarks by 25% for normal keys and values (far less for huge values).
r? `@Mark-Simulacrum`
Optimize Vec::retain
Use `copy_non_overlapping` instead of `swap` to reduce memory writes, like what we've done in #44355 and `String::retain`.
#48065 already tried to do this optimization but it is reverted in #67300 due to bad codegen of `DrainFilter::drop`.
This PR re-implement the drop-then-move approach. I did a [benchmark](https://gist.github.com/oxalica/3360eec9376f22533fcecff02798b698) on small-no-drop, small-need-drop, large-no-drop elements with different predicate functions. It turns out that the new implementation is >20% faster in average for almost all cases. Only 2/24 cases are slower by 3% and 5%. See the link above for more detail.
I think regression in may-panic cases is due to drop-guard preventing some optimization. If it's permitted to leak elements when predicate function of element's `drop` panic, the new implementation should be almost always faster than current one.
I'm not sure if we should leak on panic, since there is indeed an issue (#52267) complains about it before.
