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Rollup merge of #39107 - llogiq:branchless_filter_count, r=alexcrichton
branchless .filter(_).count() I found that the branchless version is only slower if we have little to no branch misses, which usually isn't the case. I notice speedups between -5% (perfect prediction) and 60% (real world data).
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8163b4b1f2
@ -1086,7 +1086,7 @@ impl<I: Iterator, P> Iterator for Filter<I, P> where P: FnMut(&I::Item) -> bool
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#[inline]
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fn next(&mut self) -> Option<I::Item> {
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for x in self.iter.by_ref() {
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for x in &mut self.iter {
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if (self.predicate)(&x) {
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return Some(x);
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}
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@ -1099,6 +1099,26 @@ impl<I: Iterator, P> Iterator for Filter<I, P> where P: FnMut(&I::Item) -> bool
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let (_, upper) = self.iter.size_hint();
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(0, upper) // can't know a lower bound, due to the predicate
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}
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// this special case allows the compiler to make `.filter(_).count()`
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// branchless. Barring perfect branch prediction (which is unattainable in
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// the general case), this will be much faster in >90% of cases (containing
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// virtually all real workloads) and only a tiny bit slower in the rest.
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//
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// Having this specialization thus allows us to write `.filter(p).count()`
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// where we would otherwise write `.map(|x| p(x) as usize).sum()`, which is
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// less readable and also less backwards-compatible to Rust before 1.10.
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//
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// Using the branchless version will also simplify the LLVM byte code, thus
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// leaving more budget for LLVM optimizations.
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#[inline]
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fn count(mut self) -> usize {
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let mut count = 0;
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for x in &mut self.iter {
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count += (self.predicate)(&x) as usize;
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}
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count
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}
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}
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#[stable(feature = "rust1", since = "1.0.0")]
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@ -191,6 +191,12 @@ fn test_iterator_enumerate_count() {
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assert_eq!(xs.iter().count(), 6);
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}
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#[test]
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fn test_iterator_filter_count() {
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let xs = [0, 1, 2, 3, 4, 5, 6, 7, 8];
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assert_eq!(xs.iter().filter(|&&x| x % 2 == 0).count(), 5);
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}
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#[test]
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fn test_iterator_peekable() {
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let xs = vec![0, 1, 2, 3, 4, 5];
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