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use lctree::LinkCutTree; | ||
use rand::{seq::SliceRandom, Rng, SeedableRng}; | ||
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fn create_random_tree(n: usize, seed: u64) -> (Vec<(usize, usize)>, Vec<f64>, Vec<usize>) { | ||
let mut rng = rand::rngs::StdRng::seed_from_u64(seed); | ||
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let mut edges = Vec::new(); | ||
let mut weights: Vec<f64> = (0..n).map(|i| i as f64).collect(); | ||
weights.shuffle(&mut rng); | ||
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let mut max_to_root = vec![0; n]; | ||
let mut in_tree = Vec::from([0]); | ||
for i in 1..n { | ||
let parent_idx = rng.gen_range(0..in_tree.len()); | ||
let parent = in_tree[parent_idx]; | ||
edges.push((i, parent)); | ||
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max_to_root[i] = if weights[i] > weights[max_to_root[parent]] { | ||
i | ||
} else { | ||
max_to_root[parent] | ||
}; | ||
in_tree.push(i); | ||
} | ||
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(edges, weights, max_to_root) | ||
} | ||
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#[test] | ||
pub fn findmax_random() { | ||
let n = 100; | ||
let seed = rand::thread_rng().gen(); | ||
let (edges, weights, max_to_root) = create_random_tree(n, seed); | ||
let mut lctree = LinkCutTree::new(n); | ||
for i in 0..n { | ||
lctree.set_weight(i, weights[i]); | ||
} | ||
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for (v, w) in edges { | ||
lctree.link(v, w); | ||
} | ||
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for _ in 0..n * 100 { | ||
let v = rand::thread_rng().gen_range(0..n); | ||
assert_eq!(lctree.findmax(v), max_to_root[v]); | ||
} | ||
} |