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Add Iterator::array_chunks method #87776
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Thanks for the pull request, and welcome! The Rust team is excited to review your changes, and you should hear from @joshtriplett (or someone else) soon. Please see the contribution instructions for more information. |
self.init = 0; | ||
// SAFETY: This is safe: `MaybeUninit<T>` is guaranteed to have the same layout | ||
// as `T` and the entire array has just been initialized. | ||
unsafe { Some(mem::transmute_copy(&self.buffer)) } |
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Reusing memory (going through self
) and then transmute-copying it to return it seems like it would optimize badly. Benchmarks exercising this adapter together with a for-in loop as baseline would help.
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I have added some benchmarks comparing it to looping over a mapped iterator producing arrays and the ArrayChunks
iterator for slices.
test iter::bench_array_map ... bench: 437,783 ns/iter (+/- 13,664)
test iter::bench_iter_array_chunks ... bench: 2,684,281 ns/iter (+/- 206,116)
test iter::bench_iter_array_chunks_fold ... bench: 2,217,095 ns/iter (+/- 127,330)
test iter::bench_slice_array_chunks ... bench: 335,405 ns/iter (+/- 99,203)
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I managed to improve the performance by quite a bit. Now it only takes twice as long as passing an array through an iterator pipeline. I also removed the transmute_copy
(slight increase in performance).
test iter::bench_array_map ... bench: 412,536 ns/iter (+/- 19,784)
test iter::bench_iter_array_chunks_fold ... bench: 856,663 ns/iter (+/- 67,238)
test iter::bench_iter_array_chunks_loop ... bench: 1,678,215 ns/iter (+/- 78,573)
test iter::bench_iter_array_chunks_ref_fold ... bench: 1,511,018 ns/iter (+/- 86,835)
test iter::bench_slice_array_chunks ... bench: 337,726 ns/iter (+/- 83,062)
/// [`array_rchunks`]: Iterator::array_rchunks | ||
#[unstable(feature = "iter_array_chunks", issue = "none")] | ||
#[derive(Debug)] | ||
pub struct ArrayRChunks<I: DoubleEndedIterator, const N: usize> { |
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Is array_rchunks
actually redundant? Seems to me it's distinct from both .rev().array_chunks()
(because the elements within the chunks are in the original order) and .array_chunks().rev()
(when .remainder().len() != 0
).
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It's mostly redundant with the exception of the remainder its equivalent to:
.rev().array_chunks().map(|mut arr| { arr.reverse(); arr})
If it still seems useful, I can re-include it. Also ArrayChunks
doesn't currently implement DoubleEndedIterator
, although it could but it might produce surprising results if advanced from both directions. If it were implemented though, I think it could produce the same results as ArrayRChunks
including the remainder.
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I have now added a DoubleEndedIterator
implementation that seems to produce the same results array_rchunks
would. It's not quite as efficient as it could be though, just to keep complexity down and share more code with the forward implementation.
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This starts to look like it's containing half of an implementation of the fabled ArrayVec
, as the FIXME notes this also contains some redundancy with the some array
code.
I have made |
Yeah, |
Are there any other changes this needs? Should I open a tracking issue for this? |
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☔ The latest upstream changes (presumably #89703) made this pull request unmergeable. Please resolve the merge conflicts. |
Was this closed due to issues with the code or just lack of time? That would be relevant if someone wants to pick it up. |
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@the8472 It was a bit of both. I think someone else is working on a partial implementation of |
This adds an
array_chunks
(andarray_rchunks
) method to the iterator trait similar to the method with the same name on slices. Issue #81615 seems to indicate this would be useful.