Handling Sum Queries After Update — LeetCode 2569 Python Solution
HardSegment TreeArray
- Problem
- #2569
- Reading time
- 13 min
- Source
- leetcode.com
The problem
You are given two 0-indexed arrays nums1 and nums2 and a 2D array queries of queries. There are three types of queries: For a query of type 1, queries[i] = [1, l, r].
Example
- Input
- nums1 = [1,0,1], nums2 = [0,0,0], queries = [[1,1,1],[2,1,0],[3,0,0]]
- Output
- [3]
- Explanation
- After the first query nums1 becomes [1,1,1]. After the second query, nums2 becomes [1,1,1], so the answer to the third query is 3. Thus, [3] is returned.
Python solution
Python
class Node:
def __init__(self):
self.l = self.r = 0
self.s = self.lazy = 0
class SegmentTree:
def __init__(self, nums):
self.nums = nums
n = len(nums)
self.tr = [Node() for _ in range(n << 2)]
self.build(1, 1, n)
def build(self, u, l, r):
self.tr[u].l, self.tr[u].r = l, r
if l == r:
self.tr[u].s = self.nums[l - 1]
return
mid = (l + r) >> 1
self.build(u << 1, l, mid)
self.build(u << 1 | 1, mid + 1, r)
self.pushup(u)
def modify(self, u, l, r):
if self.tr[u].l >= l and self.tr[u].r <= r:
self.tr[u].lazy ^= 1
self.tr[u].s = self.tr[u].r - self.tr[u].l + 1 - self.tr[u].s
return
self.pushdown(u)
mid = (self.tr[u].l + self.tr[u].r) >> 1
if l <= mid:
self.modify(u << 1, l, r)
if r > mid:
self.modify(u << 1 | 1, l, r)
self.pushup(u)
def query(self, u, l, r):
if self.tr[u].l >= l and self.tr[u].r <= r:
return self.tr[u].s
self.pushdown(u)
mid = (self.tr[u].l + self.tr[u].r) >> 1
res = 0
if l <= mid:
res += self.query(u << 1, l, r)
if r > mid:
res += self.query(u << 1 | 1, l, r)
return res
def pushup(self, u):
self.tr[u].s = self.tr[u << 1].s + self.tr[u << 1 | 1].s
def pushdown(self, u):
if self.tr[u].lazy:
mid = (self.tr[u].l + self.tr[u].r) >> 1
self.tr[u << 1].s = mid - self.tr[u].l + 1 - self.tr[u << 1].s
self.tr[u << 1].lazy ^= 1
self.tr[u << 1 | 1].s = self.tr[u].r - mid - self.tr[u << 1 | 1].s
self.tr[u << 1 | 1].lazy ^= 1
self.tr[u].lazy ^= 1
class Solution:
def handleQuery(
self, nums1: List[int], nums2: List[int], queries: List[List[int]]
) -> List[int]:
tree = SegmentTree(nums1)
s = sum(nums2)
ans = []
for op, a, b in queries:
if op == 1:
tree.modify(1, a + 1, b + 1)
elif op == 2:
s += a * tree.query(1, 1, len(nums1))
else:
ans.append(s)
return ansComplexity
| Measure | Complexity |
|---|---|
| Time | O(n + m \times \log n) |
| Space | O(n) auxiliary |
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Frequently asked questions
- How hard is LeetCode 2569. Handling Sum Queries After Update?
- LeetCode 2569. Handling Sum Queries After Update is rated Hard on LeetCode.
- What is the time complexity of LeetCode 2569. Handling Sum Queries After Update?
- The Python solution on this page runs in O(n + m \times \log n).
- What is the space complexity of LeetCode 2569. Handling Sum Queries After Update?
- The Python solution on this page uses O(n) auxiliary space.
- What topics does LeetCode 2569. Handling Sum Queries After Update cover?
- LeetCode 2569. Handling Sum Queries After Update is tagged Segment Tree and Array on LeetCode.