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@ -247,6 +247,8 @@ impl<T: Idx> BitRelations<BitSet<T>> for BitSet<T> {
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}
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}
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// Applies a function to mutate a bitset, and returns true if any
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// of the applications return true
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fn sequential_update<T: Idx>(
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mut self_update: impl FnMut(T) -> bool,
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it: impl Iterator<Item = T>,
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@ -258,6 +260,8 @@ fn sequential_update<T: Idx>(
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changed
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}
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// Optimization of intersection for SparseBitSet that's generic
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// over the RHS
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fn sparse_intersect<T: Idx>(
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set: &mut SparseBitSet<T>,
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other_contains: impl Fn(&T) -> bool,
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@ -267,6 +271,10 @@ fn sparse_intersect<T: Idx>(
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set.elems.len() != size
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}
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// Optimization of dense/sparse intersection. The resulting set is
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// guaranteed to be at most the size of the sparse set, and hence can be
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// represented as a sparse set. Therefore the sparse set is copied and filtered,
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// then returned as the new set.
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fn dense_sparse_intersect<T: Idx>(
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dense: &BitSet<T>,
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sparse: &SparseBitSet<T>,
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@ -303,6 +311,10 @@ impl<T: Idx> BitRelations<HybridBitSet<T>> for BitSet<T> {
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match other {
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HybridBitSet::Sparse(sparse) => {
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let (updated, changed) = dense_sparse_intersect(self, sparse);
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// We can't directly assign the BitSet to the SparseBitSet, and
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// doing `*self = updated.to_dense()` would cause a drop / reallocation. Instead,
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// the BitSet is cleared and `updated` is copied into `self`.
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self.clear();
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for elem in updated.iter() {
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self.insert(*elem);
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