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Use partial insertion sort

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This commit is contained in:
Stjepan Glavina 2017-03-19 21:40:02 +01:00
parent c4454a5507
commit 02d6e00587
1 changed files with 122 additions and 57 deletions
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179
src/libcore/slice/sort.rs
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@ -38,61 +38,122 @@ impl<T> Drop for CopyOnDrop<T> {
}
}
/// Shifts the first element to the right until it encounters a greater or equal element.
fn shift_head<T, F>(v: &mut [T], is_less: &mut F)
where F: FnMut(&T, &T) -> bool
{
let len = v.len();
unsafe {
// If the first two elements are out-of-order...
if len >= 2 && is_less(v.get_unchecked(1), v.get_unchecked(0)) {
// Read the first element into a stack-allocated variable. If a following comparison
// operation panics, `hole` will get dropped and automatically write the element back
// into the slice.
let mut tmp = NoDrop { value: ptr::read(v.get_unchecked(0)) };
let mut hole = CopyOnDrop {
src: &mut tmp.value,
dest: v.get_unchecked_mut(1),
};
ptr::copy_nonoverlapping(v.get_unchecked(1), v.get_unchecked_mut(0), 1);
for i in 2..len {
if !is_less(&v[i], &tmp.value) {
break;
}
// Move `i`-th element one place to the left, thus shifting the hole to the right.
ptr::copy_nonoverlapping(v.get_unchecked(i), v.get_unchecked_mut(i - 1), 1);
hole.dest = v.get_unchecked_mut(i);
}
// `hole` gets dropped and thus copies `tmp` into the remaining hole in `v`.
}
}
}
/// Shifts the last element to the left until it encounters a smaller or equal element.
fn shift_tail<T, F>(v: &mut [T], is_less: &mut F)
where F: FnMut(&T, &T) -> bool
{
let len = v.len();
unsafe {
// If the last two elements are out-of-order...
if len >= 2 && is_less(v.get_unchecked(len - 1), v.get_unchecked(len - 2)) {
// Read the last element into a stack-allocated variable. If a following comparison
// operation panics, `hole` will get dropped and automatically write the element back
// into the slice.
let mut tmp = NoDrop { value: ptr::read(v.get_unchecked(len - 1)) };
let mut hole = CopyOnDrop {
src: &mut tmp.value,
dest: v.get_unchecked_mut(len - 2),
};
ptr::copy_nonoverlapping(v.get_unchecked(len - 2), v.get_unchecked_mut(len - 1), 1);
for i in (0..len-2).rev() {
if !is_less(&tmp.value, v.get_unchecked(i)) {
break;
}
// Move `i`-th element one place to the right, thus shifting the hole to the left.
ptr::copy_nonoverlapping(v.get_unchecked(i), v.get_unchecked_mut(i + 1), 1);
hole.dest = v.get_unchecked_mut(i);
}
// `hole` gets dropped and thus copies `tmp` into the remaining hole in `v`.
}
}
}
/// Partially sorts a slice by shifting several out-of-order elements around.
///
/// Returns true if the slice is sorted at the end. This function is `O(n)` worst-case.
#[cold]
fn partial_insertion_sort<T, F>(v: &mut [T], is_less: &mut F) -> bool
where F: FnMut(&T, &T) -> bool
{
// Maximum number of adjacent out-of-order pairs that will get shifted.
const MAX_STEPS: usize = 5;
// If the slice is shorter than this, don't shift any elements.
const SHORTEST_SHIFTING: usize = 50;
let len = v.len();
let mut i = 1;
for _ in 0..MAX_STEPS {
unsafe {
// Find the next pair of adjacent out-of-order elements.
while i < len && !is_less(v.get_unchecked(i), v.get_unchecked(i - 1)) {
i += 1;
}
}
// Are we done?
if i == len {
return true;
}
// Don't shift elements on short arrays, that has a performance cost.
if len < SHORTEST_SHIFTING {
return false;
}
// Swap the found pair of elements. This puts them in correct order.
v.swap(i - 1, i);
// Shift the smaller element to the left.
shift_tail(&mut v[..i], is_less);
// Shift the greater element to the right.
shift_head(&mut v[i..], is_less);
}
// Didn't manage to sort the slice in the limited number of steps.
false
}
/// Sorts a slice using insertion sort, which is `O(n^2)` worst-case.
fn insertion_sort<T, F>(v: &mut [T], is_less: &mut F)
where F: FnMut(&T, &T) -> bool
{
let len = v.len();
for i in 1..len {
unsafe {
if is_less(v.get_unchecked(i), v.get_unchecked(i - 1)) {
// There are three ways to implement insertion here:
//
// 1. Swap adjacent elements until the first one gets to its final destination.
// However, this way we copy data around more than is necessary. If elements are
// big structures (costly to copy), this method will be slow.
//
// 2. Iterate until the right place for the first element is found. Then shift the
// elements succeeding it to make room for it and finally place it into the
// remaining hole. This is a good method.
//
// 3. Copy the first element into a temporary variable. Iterate until the right
// place for it is found. As we go along, copy every traversed element into the
// slot preceding it. Finally, copy data from the temporary variable into the
// remaining hole. This method is very good. Benchmarks demonstrated slightly
// better performance than with the 2nd method.
//
// All methods were benchmarked, and the 3rd showed best results. So we chose that
// one.
let mut tmp = NoDrop { value: ptr::read(v.get_unchecked(i)) };
// Intermediate state of the insertion process is always tracked by `hole`, which
// serves two purposes:
// 1. Protects integrity of `v` from panics in `is_less`.
// 2. Fills the remaining hole in `v` in the end.
//
// Panic safety:
//
// If `is_less` panics at any point during the process, `hole` will get dropped and
// fill the hole in `v` with `tmp`, thus ensuring that `v` still holds every object
// it initially held exactly once.
let mut hole = CopyOnDrop {
src: &mut tmp.value,
dest: v.get_unchecked_mut(i - 1),
};
ptr::copy_nonoverlapping(v.get_unchecked(i - 1), v.get_unchecked_mut(i), 1);
for h in (0..i-1).rev() {
if !is_less(&tmp.value, v.get_unchecked(h)) {
break;
}
ptr::copy_nonoverlapping(v.get_unchecked(h), v.get_unchecked_mut(h + 1), 1);
hole.dest = v.get_unchecked_mut(h);
}
// `hole` gets dropped and thus copies `tmp` into the remaining hole in `v`.
}
}
for i in 2..v.len()+1 {
shift_tail(&mut v[..i], is_less);
}
}
@ -180,6 +241,9 @@ fn partition_in_blocks<T, F>(v: &mut [T], pivot: &T, is_less: &mut F) -> usize
let mut end_r = ptr::null_mut();
let mut offsets_r: [u8; BLOCK] = unsafe { mem::uninitialized() };
// FIXME: When we get VLAs, try creating one array of length `min(v.len(), 2 * BLOCK)` rather
// than two fixed-size arrays of length `BLOCK`. VLAs might be more cache-efficient.
// Returns the number of elements between pointers `l` (inclusive) and `r` (exclusive).
fn width<T>(l: *mut T, r: *mut T) -> usize {
assert!(mem::size_of::<T>() > 0);
@ -470,10 +534,10 @@ fn break_patterns<T>(v: &mut [T]) {
fn choose_pivot<T, F>(v: &mut [T], is_less: &mut F) -> (usize, bool)
where F: FnMut(&T, &T) -> bool
{
// Minimal length to choose the median-of-medians method.
// Minimum length to choose the median-of-medians method.
// Shorter slices use the simple median-of-three method.
const SHORTEST_MEDIAN_OF_MEDIANS: usize = 80;
// Maximal number of swaps that can be performed in this function.
const SHORTEST_MEDIAN_OF_MEDIANS: usize = 50;
// Maximum number of swaps that can be performed in this function.
const MAX_SWAPS: usize = 4 * 3;
let len = v.len();
@ -522,7 +586,7 @@ fn choose_pivot<T, F>(v: &mut [T], is_less: &mut F) -> (usize, bool)
if swaps < MAX_SWAPS {
(b, swaps == 0)
} else {
// The maximal number of swaps was performed. Chances are the slice is descending or mostly
// The maximum number of swaps was performed. Chances are the slice is descending or mostly
// descending, so reversing will probably help sort it faster.
v.reverse();
(len - 1 - b, true)
@ -575,8 +639,9 @@ fn recurse<'a, T, F>(mut v: &'a mut [T], is_less: &mut F, mut pred: Option<&'a T
// If the last partitioning was decently balanced and didn't shuffle elements, and if pivot
// selection predicts the slice is likely already sorted...
if was_balanced && was_partitioned && likely_sorted {
// Check whether the slice really is sorted. If so, we're done.
if v.windows(2).all(|w| !is_less(&w[1], &w[0])) {
// Try identifying several out-of-order elements and shifting them to correct
// positions. If the slice ends up being completely sorted, we're done.
if partial_insertion_sort(v, is_less) {
return;
}
}