Files
Odin/core/slice/heap/heap.odin
gingerBill 842cfee0f3 Change Odin's LICENSE to zlib from BSD 3-clause
This change was made in order to allow things produced with Odin and using Odin's core library, to not require the LICENSE to also be distributed alongside the binary form.
2025-10-28 14:38:25 +00:00

237 lines
5.0 KiB
Odin

// A generic in-place max heap on a slice for any type.
package heap
/*
Copyright 2022 Dale Weiler <weilercdale@gmail.com>.
Made available under Odin's license.
List of contributors:
Dale Weiler: Initial implementation
*/
/*
Constructs a max heap in slice given by data with comparator. A max heap is
a range of elements which has the following properties:
1. With N = len(data), for all 0 < i < N, data[(i - 1) / 2] does not compare
less than data[i].
2. A new element can be added using push in O(log n) time.
3. The first element can be removed using pop in O(log n) time.
The comparator compares elements of type T and can be used to construct a
max heap (less than) or min heap (greater than) for T.
*/
make :: proc(data: []$T, less: proc(a, b: T) -> bool) {
// amoritize length lookup
length := len(data)
if length <= 1 {
return
}
// start from data parent, no need to consider children
for start := (length - 2) / 2; start >= 0; start -= 1 {
sift_down(data, less, start)
}
}
/*
Inserts the element at the position len(data)-1 into the max heap with
comparator.
At most log(N) comparisons where N = len(data) will be performed.
*/
push :: proc(data: []$T, less: proc(a, b: T) -> bool) {
sift_up(data, less)
}
/*
Swaps the value in position data[0] and the value in data[len(data)-1] and
makes subrange [0, len(data)-1) into a heap. This has the effect of removing
the first element from the heap.
At most 2 * log(N) comparisons where N = len(data) will be performed.
*/
pop :: proc(data: []$T, less: proc(a, b: T) -> bool) {
length := len(data)
if length <= 1 {
return
}
last := length
// create a hole at 0
top := data[0]
hole := floyd_sift_down(data, less)
last -= 1
if hole == last {
data[hole] = top
} else {
data[hole] = data[last]
hole += 1
data[last] = top
sift_up(data[:hole], less)
}
}
/*
Converts the max heap into a sorted range in ascending order. The resulting
slice will no longer be a heap after this.
At most 2 * N * log(N) comparisons where N = len(data) will be performed.
*/
sort :: proc(data: []$T, less: proc(a, b: T) -> bool) {
for n := len(data); n >= 1; n -= 1 {
pop(data[:n], less)
}
}
/*
Examines the slice and finds the largest range which is a max-heap. Elements
are compared with user-supplied comparison procedure.
This returns the upper bound of the largest range in the slice which is a
max heap. That is, the last index for which data is a max heap.
At most O(n) comparisons where N = len(data) will be performed.
*/
is_heap_until :: proc(data: []$T, less: proc(a, b: T) -> bool) -> int {
length := len(data)
a := 0
b := 1
for b < length {
if less(data[a], data[b]) {
return b
}
b += 1
if b == length || less(data[a], data[b]) {
return b
}
a += 1
b = 2 * a + 1
}
return length
}
/*
Checks if a given slice is a max heap.
At most O(n) comparisons where N = len(data) will be performed.
*/
is_heap :: #force_inline proc(data: []$T, less: proc(a, b: T) -> bool) -> bool {
return is_heap_until(data, less) == len(data)
}
@(private="file")
floyd_sift_down :: proc(data: []$T, less: proc(a, b: T) -> bool) -> int {
length := len(data)
assert(length >= 2)
hole := 0
child := 0
index := 0
for {
index += child + 1
child = 2 * child + 1
if child + 1 < length && less(data[index], data[index + 1]) {
child += 1
index += 1
}
data[hole] = data[index]
hole = index
if child > (length - 2) / 2 {
return hole
}
}
unreachable()
}
@(private="file")
sift_down :: proc(data: []$T, less: proc(a, b: T) -> bool, start: int) {
start := start
child := start
// amoritize length lookup
length := len(data)
// left child of start is at 2 * start + 1
// right child of start is at 2 * start + 2
if length < 2 || (length - 2) / 2 < child {
return
}
child = 2 * child + 1
if child + 1 < length && less(data[child], data[child + 1]) {
// right child exists and is greater than left child
child += 1
}
// check if in heap order
if less(data[child], data[start]) {
// start is larger than its largest child
return
}
top := data[start]
for {
// not in heap order, swap parent with its largest child
data[start] = data[child]
start = child
if (length - 2) / 2 < child {
break
}
// recompute child based off updated parent
child = 2 * child + 1
if child + 1 < length && less(data[child], data[child + 1]) {
// right child exists and is greater than left child
child += 1
}
// check if we are in heap order
if less(data[child], top) {
break
}
}
data[start] = top
}
@(private="file")
sift_up :: proc(data: []$T, less: proc(a, b: T) -> bool) {
// amoritize length lookup
length := len(data)
if length <= 1 {
return
}
last := length
length = (length - 2) / 2
index := length
last -= 1
if less(data[index], data[last]) {
top := data[last]
for {
data[last] = data[index]
last = index
if length == 0 {
break
}
length = (length - 1) / 2
index = length
if !less(data[index], top) {
break
}
}
data[last] = top
}
}