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