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segment_tree.rs
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segment_tree.rs
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/// This stucture implements a segmented tree that
/// can efficiently answer range queries on arrays.
pub struct SegmentTree<T: Default + Ord + Copy> {
len: usize,
buf: Vec<T>,
op: Ops,
}
pub enum Ops {
Max,
Min,
}
impl<T: Default + Ord + Copy> SegmentTree<T> {
/// function to build the tree
pub fn from_vec(arr: &[T], op: Ops) -> Self {
let len = arr.len();
let mut buf: Vec<T> = vec![T::default(); 2 * len];
buf[len..(len + len)].clone_from_slice(&arr[0..len]);
for i in (1..len).rev() {
buf[i] = match op {
Ops::Max => buf[2 * i].max(buf[2 * i + 1]),
Ops::Min => buf[2 * i].min(buf[2 * i + 1]),
};
}
SegmentTree { len, buf, op }
}
/// function to get sum on interval [l, r]
pub fn query(&self, mut l: usize, mut r: usize) -> T {
l += self.len;
r += self.len;
let mut res = self.buf[l];
while l <= r {
if l % 2 == 1 {
res = match self.op {
Ops::Max => res.max(self.buf[l]),
Ops::Min => res.min(self.buf[l]),
};
l += 1;
}
if r % 2 == 0 {
res = match self.op {
Ops::Max => res.max(self.buf[r]),
Ops::Min => res.min(self.buf[r]),
};
r -= 1;
}
l /= 2;
r /= 2;
}
res
}
/// function to update a tree node
pub fn update(&mut self, mut idx: usize, val: T) {
idx += self.len;
self.buf[idx] = val;
idx /= 2;
while idx != 0 {
self.buf[idx] = match self.op {
Ops::Max => self.buf[2 * idx].max(self.buf[2 * idx + 1]),
Ops::Min => self.buf[2 * idx].min(self.buf[2 * idx + 1]),
};
idx /= 2;
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn it_works() {
let vec = vec![1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8];
let min_seg_tree = SegmentTree::from_vec(&vec, Ops::Min);
assert_eq!(-5, min_seg_tree.query(4, 6));
assert_eq!(-20, min_seg_tree.query(0, vec.len() - 1));
let mut max_seg_tree = SegmentTree::from_vec(&vec, Ops::Max);
assert_eq!(6, max_seg_tree.query(4, 6));
assert_eq!(15, max_seg_tree.query(0, vec.len() - 1));
max_seg_tree.update(6, 8);
assert_eq!(8, max_seg_tree.query(4, 6));
}
}