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Fix inherent impl overlap check.
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0157cc977f
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@ -741,6 +741,12 @@ impl<I: Idx, T> IndexVec<I, Option<T>> {
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self.ensure_contains_elem(index, || None);
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self[index].get_or_insert_with(value)
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}
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#[inline]
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pub fn remove(&mut self, index: I) -> Option<T> {
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self.ensure_contains_elem(index, || None);
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self[index].take()
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}
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}
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impl<I: Idx, T: Clone> IndexVec<I, T> {
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@ -3,6 +3,7 @@ use rustc_errors::struct_span_err;
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use rustc_hir as hir;
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use rustc_hir::def_id::DefId;
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use rustc_hir::itemlikevisit::ItemLikeVisitor;
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use rustc_index::vec::IndexVec;
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use rustc_middle::ty::{self, TyCtxt};
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use rustc_span::Symbol;
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use rustc_trait_selection::traits::{self, SkipLeakCheck};
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@ -158,14 +159,18 @@ impl ItemLikeVisitor<'v> for InherentOverlapChecker<'tcx> {
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// This is advantageous to running the algorithm over the
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// entire graph when there are many connected regions.
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rustc_index::newtype_index! {
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pub struct RegionId {
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ENCODABLE = custom
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}
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}
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struct ConnectedRegion {
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idents: SmallVec<[Symbol; 8]>,
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impl_blocks: FxHashSet<usize>,
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}
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// Highest connected region id
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let mut highest_region_id = 0;
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let mut connected_regions: IndexVec<RegionId, _> = Default::default();
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// Reverse map from the Symbol to the connected region id.
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let mut connected_region_ids = FxHashMap::default();
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let mut connected_regions = FxHashMap::default();
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for (i, &(&_impl_def_id, impl_items)) in impls_items.iter().enumerate() {
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if impl_items.len() == 0 {
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@ -173,7 +178,7 @@ impl ItemLikeVisitor<'v> for InherentOverlapChecker<'tcx> {
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}
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// First obtain a list of existing connected region ids
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let mut idents_to_add = SmallVec::<[Symbol; 8]>::new();
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let ids = impl_items
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let mut ids = impl_items
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.in_definition_order()
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.filter_map(|item| {
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let entry = connected_region_ids.entry(item.ident.name);
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@ -184,62 +189,64 @@ impl ItemLikeVisitor<'v> for InherentOverlapChecker<'tcx> {
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None
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}
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})
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.collect::<FxHashSet<usize>>();
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match ids.len() {
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0 | 1 => {
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let id_to_set = if ids.is_empty() {
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// Create a new connected region
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let region = ConnectedRegion {
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.collect::<SmallVec<[RegionId; 8]>>();
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// Sort the id list so that the algorithm is deterministic
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ids.sort_unstable();
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let ids = ids;
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match &ids[..] {
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// Create a new connected region
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[] => {
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let id_to_set = connected_regions.next_index();
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// Update the connected region ids
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for ident in &idents_to_add {
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connected_region_ids.insert(*ident, id_to_set);
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}
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connected_regions.insert(
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id_to_set,
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ConnectedRegion {
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idents: idents_to_add,
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impl_blocks: std::iter::once(i).collect(),
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};
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connected_regions.insert(highest_region_id, region);
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(highest_region_id, highest_region_id += 1).0
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} else {
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// Take the only id inside the list
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let id_to_set = *ids.iter().next().unwrap();
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let region = connected_regions.get_mut(&id_to_set).unwrap();
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region.impl_blocks.insert(i);
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region.idents.extend_from_slice(&idents_to_add);
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id_to_set
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};
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let (_id, region) = connected_regions.iter().next().unwrap();
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},
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);
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}
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// Take the only id inside the list
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&[id_to_set] => {
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let region = connected_regions[id_to_set].as_mut().unwrap();
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region.impl_blocks.insert(i);
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region.idents.extend_from_slice(&idents_to_add);
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// Update the connected region ids
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for ident in region.idents.iter() {
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for ident in &idents_to_add {
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connected_region_ids.insert(*ident, id_to_set);
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}
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}
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_ => {
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// We have multiple connected regions to merge.
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// In the worst case this might add impl blocks
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// one by one and can thus be O(n^2) in the size
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// of the resulting final connected region, but
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// this is no issue as the final step to check
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// for overlaps runs in O(n^2) as well.
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// Take the smallest id from the list
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let id_to_set = *ids.iter().min().unwrap();
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// Sort the id list so that the algorithm is deterministic
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let mut ids = ids.into_iter().collect::<SmallVec<[usize; 8]>>();
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ids.sort_unstable();
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let mut region = connected_regions.remove(&id_to_set).unwrap();
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region.idents.extend_from_slice(&idents_to_add);
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// We have multiple connected regions to merge.
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// In the worst case this might add impl blocks
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// one by one and can thus be O(n^2) in the size
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// of the resulting final connected region, but
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// this is no issue as the final step to check
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// for overlaps runs in O(n^2) as well.
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&[id_to_set, ..] => {
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let mut region = connected_regions.remove(id_to_set).unwrap();
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region.impl_blocks.insert(i);
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region.idents.extend_from_slice(&idents_to_add);
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// Update the connected region ids
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for ident in &idents_to_add {
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connected_region_ids.insert(*ident, id_to_set);
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}
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// Remove other regions from ids.
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for &id in ids.iter() {
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if id == id_to_set {
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continue;
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}
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let r = connected_regions.remove(&id).unwrap();
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// Update the connected region ids
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let r = connected_regions.remove(id).unwrap();
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for ident in r.idents.iter() {
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connected_region_ids.insert(*ident, id_to_set);
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}
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region.idents.extend_from_slice(&r.idents);
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region.impl_blocks.extend(r.impl_blocks);
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}
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connected_regions.insert(id_to_set, region);
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}
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}
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@ -254,16 +261,22 @@ impl ItemLikeVisitor<'v> for InherentOverlapChecker<'tcx> {
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let avg = impls.len() / connected_regions.len();
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let s = connected_regions
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.iter()
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.map(|r| r.1.impl_blocks.len() as isize - avg as isize)
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.flatten()
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.map(|r| r.impl_blocks.len() as isize - avg as isize)
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.map(|v| v.abs() as usize)
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.sum::<usize>();
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s / connected_regions.len()
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},
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connected_regions.iter().map(|r| r.1.impl_blocks.len()).max().unwrap()
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connected_regions
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.iter()
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.flatten()
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.map(|r| r.impl_blocks.len())
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.max()
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.unwrap()
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);
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// List of connected regions is built. Now, run the overlap check
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// for each pair of impl blocks in the same connected region.
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for (_id, region) in connected_regions.into_iter() {
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for region in connected_regions.into_iter().flatten() {
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let mut impl_blocks =
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region.impl_blocks.into_iter().collect::<SmallVec<[usize; 8]>>();
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impl_blocks.sort_unstable();
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@ -63,6 +63,7 @@ This API is completely unstable and subject to change.
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#![feature(in_band_lifetimes)]
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#![feature(is_sorted)]
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#![feature(iter_zip)]
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#![feature(min_specialization)]
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#![feature(nll)]
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#![feature(try_blocks)]
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#![feature(never_type)]
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