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153 changes: 153 additions & 0 deletions data_structures/binary_tree/non_recursive_segment_tree.py
Original file line number Diff line number Diff line change
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"""
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 typing import List, Callable, TypeVar

T = TypeVar("T")


class SegmentTree:
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: '{}{}'.format(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)
"""
self.N = len(arr)
self.st = [None for _ in range(len(arr))] + 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, l: int, r: int) -> T:
"""
Get range query value in log(N) time
:param l: left element index
:param r: right element index
:return: element combined in the range [l, r]

>>> 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
"""
l, r = l + self.N, r + self.N
res = None
while l <= r:
if l % 2 == 1:
res = self.st[l] if res is None else self.fn(res, self.st[l])
if r % 2 == 0:
res = self.st[r] if res is None else self.fn(res, self.st[r])
l, r = (l + 1) // 2, (r - 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():
"""
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()