""" A non-recursive Segment Tree implementation with range query and single element update, works virtually with any list of the same type of elements with a "commutative" combiner. Explanation: https://www.geeksforgeeks.org/iterative-segment-tree-range-minimum-query/ https://www.geeksforgeeks.org/segment-tree-efficient-implementation/ >>> SegmentTree([1, 2, 3], lambda a, b: a + b).query(0, 2) 6 >>> SegmentTree([3, 1, 2], min).query(0, 2) 1 >>> SegmentTree([2, 3, 1], max).query(0, 2) 3 >>> st = SegmentTree([1, 5, 7, -1, 6], lambda a, b: a + b) >>> st.update(1, -1) >>> st.update(2, 3) >>> st.query(1, 2) 2 >>> st.query(1, 1) -1 >>> st.update(4, 1) >>> st.query(3, 4) 0 >>> st = SegmentTree([[1, 2, 3], [3, 2, 1], [1, 1, 1]], lambda a, b: [a[i] + b[i] for i ... in range(len(a))]) >>> st.query(0, 1) [4, 4, 4] >>> st.query(1, 2) [4, 3, 2] >>> st.update(1, [-1, -1, -1]) >>> st.query(1, 2) [0, 0, 0] >>> st.query(0, 2) [1, 2, 3] """ from __future__ import annotations from collections.abc import Callable from typing import Any, Generic, TypeVar T = TypeVar("T") class SegmentTree(Generic[T]): def __init__(self, arr: list[T], fnc: Callable[[T, T], T]) -> None: """ Segment Tree constructor, it works just with commutative combiner. :param arr: list of elements for the segment tree :param fnc: commutative function for combine two elements >>> SegmentTree(['a', 'b', 'c'], lambda a, b: f'{a}{b}').query(0, 2) 'abc' >>> SegmentTree([(1, 2), (2, 3), (3, 4)], ... lambda a, b: (a[0] + b[0], a[1] + b[1])).query(0, 2) (6, 9) """ any_type: Any | T = None self.N: int = len(arr) self.st: list[T] = [any_type for _ in range(self.N)] + arr self.fn = fnc self.build() def build(self) -> None: for p in range(self.N - 1, 0, -1): self.st[p] = self.fn(self.st[p * 2], self.st[p * 2 + 1]) def update(self, p: int, v: T) -> None: """ Update an element in log(N) time :param p: position to be update :param v: new value >>> st = SegmentTree([3, 1, 2, 4], min) >>> st.query(0, 3) 1 >>> st.update(2, -1) >>> st.query(0, 3) -1 """ p += self.N self.st[p] = v while p > 1: p = p // 2 self.st[p] = self.fn(self.st[p * 2], self.st[p * 2 + 1]) def query(self, left: int, right: int) -> T | None: """ Get range query value in log(N) time :param left: left element index :param right: right element index :return: element combined in the range [left, right] >>> st = SegmentTree([1, 2, 3, 4], lambda a, b: a + b) >>> st.query(0, 2) 6 >>> st.query(1, 2) 5 >>> st.query(0, 3) 10 >>> st.query(2, 3) 7 """ left, right = left + self.N, right + self.N res: T | None = None while left <= right: if left % 2 == 1: res = self.st[left] if res is None else self.fn(res, self.st[left]) if right % 2 == 0: res = self.st[right] if res is None else self.fn(res, self.st[right]) left, right = (left + 1) // 2, (right - 1) // 2 return res if __name__ == "__main__": from functools import reduce test_array = [1, 10, -2, 9, -3, 8, 4, -7, 5, 6, 11, -12] test_updates = { 0: 7, 1: 2, 2: 6, 3: -14, 4: 5, 5: 4, 6: 7, 7: -10, 8: 9, 9: 10, 10: 12, 11: 1, } min_segment_tree = SegmentTree(test_array, min) max_segment_tree = SegmentTree(test_array, max) sum_segment_tree = SegmentTree(test_array, lambda a, b: a + b) def test_all_segments() -> None: """ Test all possible segments """ for i in range(len(test_array)): for j in range(i, len(test_array)): min_range = reduce(min, test_array[i : j + 1]) max_range = reduce(max, test_array[i : j + 1]) sum_range = reduce(lambda a, b: a + b, test_array[i : j + 1]) assert min_range == min_segment_tree.query(i, j) assert max_range == max_segment_tree.query(i, j) assert sum_range == sum_segment_tree.query(i, j) test_all_segments() for index, value in test_updates.items(): test_array[index] = value min_segment_tree.update(index, value) max_segment_tree.update(index, value) sum_segment_tree.update(index, value) test_all_segments()