Sliding Window Median
The median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value. So the median is the mean of the two middle values.
For examples, if arr = [2,3,4], the median is 3.
For examples, if arr = [1,2,3,4], the median is (2 + 3) / 2 = 2.5.
You are given an integer array nums and an integer k. There is a sliding window of size k which is moving from the very left of the array to the very right. You can only see the k numbers in the window. Each time the sliding window moves right by one position.
Return the median array for each window in the original array. Answers within 10-5 of the actual value will be accepted.
idea: can do binary search or 2 heap (similar to median of streams)
func medianSlidingWindow(nums []int, k int) []float64 {
var res []float64
var minHeap minH
var maxHeap maxH
for i, num := range nums {
if len(maxHeap) == 0 || num <= maxHeap[0] {
maxHeap.add(num)
} else {
minHeap.add(num)
}
if len(maxHeap) > len(minHeap)+1 {
minHeap.add(maxHeap.pop())
} else if len(minHeap) > len(maxHeap) {
maxHeap.add(minHeap.pop())
}
if i-k+1 >= 0 {
removedIndex := i - k
if removedIndex >= 0 {
if nums[removedIndex] <= maxHeap[0] {
maxHeap.remove(nums[removedIndex])
} else {
minHeap.remove(nums[removedIndex])
}
if len(maxHeap) > len(minHeap)+1 {
minHeap.add(maxHeap.pop())
} else if len(minHeap) > len(maxHeap) {
maxHeap.add(minHeap.pop())
}
}
var median float64
if len(minHeap) == len(maxHeap) {
median = float64(minHeap[0]+maxHeap[0]) / float64(2)
} else {
median = float64(maxHeap[0])
}
res = append(res, median)
}
}
return res
}
type minH []int
type maxH []int
func (h *maxH) remove(item int) {
for i := 0; i < len(*h); i++ {
if item == (*h)[i] {
(*h)[i] = (*h)[len(*h)-1]
*h = (*h)[:len(*h)-1]
if i == 0 {
h.heapDown(0)
return
}
parent := (i - 1) / 2
if parent >= 0 && i < len(*h) {
h.heapDown(i)
h.heapUp(i)
return
}
}
}
}
func (h *minH) remove(item int) {
for i := 0; i < len(*h); i++ {
if item == (*h)[i] {
(*h)[i] = (*h)[len(*h)-1]
*h = (*h)[:len(*h)-1]
if i == 0 {
h.heapDown(0)
return
}
parent := (i - 1) / 2
if parent >= 0 && i < len(*h) {
h.heapDown(i)
h.heapUp(i)
return
}
}
}
}
func (h *maxH) pop() int {
poppedItem := (*h)[0]
(*h)[0] = (*h)[len(*h)-1]
*h = (*h)[:len(*h)-1]
h.heapDown(0)
return poppedItem
}
func (h *minH) pop() int {
poppedItem := (*h)[0]
(*h)[0] = (*h)[len(*h)-1]
*h = (*h)[:len(*h)-1]
h.heapDown(0)
return poppedItem
}
func (h *minH) add(num int) {
*h = append(*h, num)
h.heapUp(len(*h) - 1)
}
func (h *maxH) add(num int) {
*h = append(*h, num)
h.heapUp(len(*h) - 1)
}
func (h *minH) heapDown(p int) {
l, r := 2*p+1, 2*p+2
smaller := p
if l < len(*h) && (*h)[l] < (*h)[smaller] {
smaller = l
}
if r < len(*h) && (*h)[r] < (*h)[smaller] {
smaller = r
}
if smaller != p {
(*h)[smaller], (*h)[p] = (*h)[p], (*h)[smaller]
h.heapDown(smaller)
}
}
func (h *minH) heapUp(p int) {
parent := (p - 1) / 2
if parent >= 0 && (*h)[p] < (*h)[parent] {
(*h)[p], (*h)[parent] = (*h)[parent], (*h)[p]
h.heapUp(parent)
}
}
func (h *maxH) heapDown(p int) {
l, r := 2*p+1, 2*p+2
bigger := p
if l < len(*h) && (*h)[l] > (*h)[bigger] {
bigger = l
}
if r < len(*h) && (*h)[r] > (*h)[bigger] {
bigger = r
}
if bigger != p {
(*h)[bigger], (*h)[p] = (*h)[p], (*h)[bigger]
h.heapDown(bigger)
}
}
func (h *maxH) heapUp(p int) {
parent := (p - 1) / 2
if parent >= 0 && (*h)[p] > (*h)[parent] {
(*h)[p], (*h)[parent] = (*h)[parent], (*h)[p]
h.heapUp(parent)
}
}