package template
// SegmentTree define
type SegmentTree struct {
data, tree, lazy []int
left, right int
merge func(i, j int) int
}
// Init define
func (st *SegmentTree) Init(nums []int, oper func(i, j int) int) {
st.merge = oper
data, tree, lazy := make([]int, len(nums)), make([]int, 4*len(nums)), make([]int, 4*len(nums))
for i := 0; i < len(nums); i++ {
data[i] = nums[i]
}
st.data, st.tree, st.lazy = data, tree, lazy
if len(nums) > 0 {
st.buildSegmentTree(0, 0, len(nums)-1)
}
}
// 在 treeIndex 的位置创建 [left....right] 区间的线段树
func (st *SegmentTree) buildSegmentTree(treeIndex, left, right int) {
if left == right {
st.tree[treeIndex] = st.data[left]
return
}
midTreeIndex, leftTreeIndex, rightTreeIndex := left+(right-left)>>1, st.leftChild(treeIndex), st.rightChild(treeIndex)
st.buildSegmentTree(leftTreeIndex, left, midTreeIndex)
st.buildSegmentTree(rightTreeIndex, midTreeIndex+1, right)
st.tree[treeIndex] = st.merge(st.tree[leftTreeIndex], st.tree[rightTreeIndex])
}
func (st *SegmentTree) leftChild(index int) int {
return 2*index + 1
}
func (st *SegmentTree) rightChild(index int) int {
return 2*index + 2
}
// 查询 [left....right] 区间内的值
// Query define
func (st *SegmentTree) Query(left, right int) int {
if len(st.data) > 0 {
return st.queryInTree(0, 0, len(st.data)-1, left, right)
}
return 0
}
// 在以 treeIndex 为根的线段树中 [left...right] 的范围里,搜索区间 [queryLeft...queryRight] 的值
func (st *SegmentTree) queryInTree(treeIndex, left, right, queryLeft, queryRight int) int {
if left == queryLeft && right == queryRight {
return st.tree[treeIndex]
}
midTreeIndex, leftTreeIndex, rightTreeIndex := left+(right-left)>>1, st.leftChild(treeIndex), st.rightChild(treeIndex)
if queryLeft > midTreeIndex {
return st.queryInTree(rightTreeIndex, midTreeIndex+1, right, queryLeft, queryRight)
} else if queryRight <= midTreeIndex {
return st.queryInTree(leftTreeIndex, left, midTreeIndex, queryLeft, queryRight)
}
return st.merge(st.queryInTree(leftTreeIndex, left, midTreeIndex, queryLeft, midTreeIndex),
st.queryInTree(rightTreeIndex, midTreeIndex+1, right, midTreeIndex+1, queryRight))
}
// 查询 [left....right] 区间内的值
// QueryLazy define
func (st *SegmentTree) QueryLazy(left, right int) int {
if len(st.data) > 0 {
return st.queryLazyInTree(0, 0, len(st.data)-1, left, right)
}
return 0
}
func (st *SegmentTree) queryLazyInTree(treeIndex, left, right, queryLeft, queryRight int) int {
midTreeIndex, leftTreeIndex, rightTreeIndex := left+(right-left)>>1, st.leftChild(treeIndex), st.rightChild(treeIndex)
if left > queryRight || right < queryLeft { // segment completely outside range
return 0 // represents a null node
}
if st.lazy[treeIndex] != 0 { // this node is lazy
for i := 0; i < right-left+1; i++ {
st.tree[treeIndex] = st.merge(st.tree[treeIndex], st.lazy[treeIndex])
// st.tree[treeIndex] += (right - left + 1) * st.lazy[treeIndex] // normalize current node by removing lazinesss
}
if left != right { // update lazy[] for children nodes
st.lazy[leftTreeIndex] = st.merge(st.lazy[leftTreeIndex], st.lazy[treeIndex])
st.lazy[rightTreeIndex] = st.merge(st.lazy[rightTreeIndex], st.lazy[treeIndex])
// st.lazy[leftTreeIndex] += st.lazy[treeIndex]
// st.lazy[rightTreeIndex] += st.lazy[treeIndex]
}
st.lazy[treeIndex] = 0 // current node processed. No longer lazy
}
if queryLeft <= left && queryRight >= right { // segment completely inside range
return st.tree[treeIndex]
}
if queryLeft > midTreeIndex {
return st.queryLazyInTree(rightTreeIndex, midTreeIndex+1, right, queryLeft, queryRight)
} else if queryRight <= midTreeIndex {
return st.queryLazyInTree(leftTreeIndex, left, midTreeIndex, queryLeft, queryRight)
}
// merge query results
return st.merge(st.queryLazyInTree(leftTreeIndex, left, midTreeIndex, queryLeft, midTreeIndex),
st.queryLazyInTree(rightTreeIndex, midTreeIndex+1, right, midTreeIndex+1, queryRight))
}
// 更新 index 位置的值
// Update define
func (st *SegmentTree) Update(index, val int) {
if len(st.data) > 0 {
st.updateInTree(0, 0, len(st.data)-1, index, val)
}
}
// 以 treeIndex 为根,更新 index 位置上的值为 val
func (st *SegmentTree) updateInTree(treeIndex, left, right, index, val int) {
if left == right {
st.tree[treeIndex] = val
return
}
midTreeIndex, leftTreeIndex, rightTreeIndex := left+(right-left)>>1, st.leftChild(treeIndex), st.rightChild(treeIndex)
if index > midTreeIndex {
st.updateInTree(rightTreeIndex, midTreeIndex+1, right, index, val)
} else {
st.updateInTree(leftTreeIndex, left, midTreeIndex, index, val)
}
st.tree[treeIndex] = st.merge(st.tree[leftTreeIndex], st.tree[rightTreeIndex])
}
// 更新 [updateLeft....updateRight] 位置的值
// 注意这里的更新值是在原来值的基础上增加或者减少,而不是把这个区间内的值都赋值为 x,区间更新和单点更新不同
// 这里的区间更新关注的是变化,单点更新关注的是定值
// 当然区间更新也可以都更新成定值,如果只区间更新成定值,那么 lazy 更新策略需要变化,merge 策略也需要变化,这里暂不详细讨论
// UpdateLazy define
func (st *SegmentTree) UpdateLazy(updateLeft, updateRight, val int) {
if len(st.data) > 0 {
st.updateLazyInTree(0, 0, len(st.data)-1, updateLeft, updateRight, val)
}
}
func (st *SegmentTree) updateLazyInTree(treeIndex, left, right, updateLeft, updateRight, val int) {
midTreeIndex, leftTreeIndex, rightTreeIndex := left+(right-left)>>1, st.leftChild(treeIndex), st.rightChild(treeIndex)
if st.lazy[treeIndex] != 0 { // this node is lazy
for i := 0; i < right-left+1; i++ {
st.tree[treeIndex] = st.merge(st.tree[treeIndex], st.lazy[treeIndex])
//st.tree[treeIndex] += (right - left + 1) * st.lazy[treeIndex] // normalize current node by removing laziness
}
if left != right { // update lazy[] for children nodes
st.lazy[leftTreeIndex] = st.merge(st.lazy[leftTreeIndex], st.lazy[treeIndex])
st.lazy[rightTreeIndex] = st.merge(st.lazy[rightTreeIndex], st.lazy[treeIndex])
// st.lazy[leftTreeIndex] += st.lazy[treeIndex]
// st.lazy[rightTreeIndex] += st.lazy[treeIndex]
}
st.lazy[treeIndex] = 0 // current node processed. No longer lazy
}
if left > right || left > updateRight || right < updateLeft {
return // out of range. escape.
}
if updateLeft <= left && right <= updateRight { // segment is fully within update range
for i := 0; i < right-left+1; i++ {
st.tree[treeIndex] = st.merge(st.tree[treeIndex], val)
//st.tree[treeIndex] += (right - left + 1) * val // update segment
}
if left != right { // update lazy[] for children
st.lazy[leftTreeIndex] = st.merge(st.lazy[leftTreeIndex], val)
st.lazy[rightTreeIndex] = st.merge(st.lazy[rightTreeIndex], val)
// st.lazy[leftTreeIndex] += val
// st.lazy[rightTreeIndex] += val
}
return
}
st.updateLazyInTree(leftTreeIndex, left, midTreeIndex, updateLeft, updateRight, val)
st.updateLazyInTree(rightTreeIndex, midTreeIndex+1, right, updateLeft, updateRight, val)
// merge updates
st.tree[treeIndex] = st.merge(st.tree[leftTreeIndex], st.tree[rightTreeIndex])
}
// SegmentCountTree define
type SegmentCountTree struct {
data, tree []int
left, right int
merge func(i, j int) int
}
// Init define
func (st *SegmentCountTree) Init(nums []int, oper func(i, j int) int) {
st.merge = oper
data, tree := make([]int, len(nums)), make([]int, 4*len(nums))
for i := 0; i < len(nums); i++ {
data[i] = nums[i]
}
st.data, st.tree = data, tree
}
// 在 treeIndex 的位置创建 [left....right] 区间的线段树
func (st *SegmentCountTree) buildSegmentTree(treeIndex, left, right int) {
if left == right {
st.tree[treeIndex] = st.data[left]
return
}
midTreeIndex, leftTreeIndex, rightTreeIndex := left+(right-left)>>1, st.leftChild(treeIndex), st.rightChild(treeIndex)
st.buildSegmentTree(leftTreeIndex, left, midTreeIndex)
st.buildSegmentTree(rightTreeIndex, midTreeIndex+1, right)
st.tree[treeIndex] = st.merge(st.tree[leftTreeIndex], st.tree[rightTreeIndex])
}
func (st *SegmentCountTree) leftChild(index int) int {
return 2*index + 1
}
func (st *SegmentCountTree) rightChild(index int) int {
return 2*index + 2
}
// 查询 [left....right] 区间内的值
// Query define
func (st *SegmentCountTree) Query(left, right int) int {
if len(st.data) > 0 {
return st.queryInTree(0, 0, len(st.data)-1, left, right)
}
return 0
}
// 在以 treeIndex 为根的线段树中 [left...right] 的范围里,搜索区间 [queryLeft...queryRight] 的值,值是计数值
func (st *SegmentCountTree) queryInTree(treeIndex, left, right, queryLeft, queryRight int) int {
if queryRight < st.data[left] || queryLeft > st.data[right] {
return 0
}
if queryLeft <= st.data[left] && queryRight >= st.data[right] || left == right {
return st.tree[treeIndex]
}
midTreeIndex, leftTreeIndex, rightTreeIndex := left+(right-left)>>1, st.leftChild(treeIndex), st.rightChild(treeIndex)
return st.queryInTree(rightTreeIndex, midTreeIndex+1, right, queryLeft, queryRight) +
st.queryInTree(leftTreeIndex, left, midTreeIndex, queryLeft, queryRight)
}
// 更新计数
// UpdateCount define
func (st *SegmentCountTree) UpdateCount(val int) {
if len(st.data) > 0 {
st.updateCountInTree(0, 0, len(st.data)-1, val)
}
}
// 以 treeIndex 为根,更新 [left...right] 区间内的计数
func (st *SegmentCountTree) updateCountInTree(treeIndex, left, right, val int) {
if val >= st.data[left] && val <= st.data[right] {
st.tree[treeIndex]++
if left == right {
return
}
midTreeIndex, leftTreeIndex, rightTreeIndex := left+(right-left)>>1, st.leftChild(treeIndex), st.rightChild(treeIndex)
st.updateCountInTree(rightTreeIndex, midTreeIndex+1, right, val)
st.updateCountInTree(leftTreeIndex, left, midTreeIndex, val)
}
}