-
-
Notifications
You must be signed in to change notification settings - Fork 2.6k
Expand file tree
/
Copy pathtree_center.rs
More file actions
304 lines (224 loc) · 7.64 KB
/
tree_center.rs
File metadata and controls
304 lines (224 loc) · 7.64 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
//! Finds the center of a weighted tree using two depth-first searches (DFS).
//!
//! The algorithm works as follows:
//!
//! 1. Perform a first DFS to compute, for each node, the maximum distance
//! to any descendant in its subtree (i.e., the deepest node below it).
//!
//! 2. Perform a second DFS to compute, for each node, the maximum distance
//! to nodes outside its subtree (i.e., through its parent and other branches).
//!
//! For each vertex, the farthest node in the tree is either:
//! - a descendant in its own subtree, or
//! - a node reached by going up to its parent and then down another branch.
//!
//! The eccentricity of each node is the maximum of these two values.
//! The center of the tree is the node that minimizes this eccentricity.
//!
//! This implementation works for weighted trees.
use std::collections::HashMap;
use crate::data_structures::{graph::Graph, UndirectedGraph};
type Table<V> = HashMap<V, i64>;
const INF: i64 = 1_000_000_000_000_000_000;
fn depth_first_search_down<'a>(
tree: &'a UndirectedGraph,
dist: &mut Table<&'a String>,
max_down: &mut Table<&'a String>,
u: &'a String,
parent: Option<&'a String>,
) {
let dist_from_root = *dist.get(u).unwrap();
let mut max_dist_down = dist_from_root;
for (v, weight) in tree.adjacency_table().get(u).unwrap() {
if parent == Some(v) {
continue;
}
dist.insert(v, dist_from_root + *weight as i64);
depth_first_search_down(tree, dist, max_down, v, Some(u));
max_dist_down = max_dist_down.max(*max_down.get(v).unwrap());
}
max_down.insert(u, max_dist_down);
}
fn depth_first_search_up<'a>(
tree: &'a UndirectedGraph,
dist: &mut Table<&'a String>,
max_dist: &mut Table<&'a String>,
max_down: &mut Table<&'a String>,
u: &'a String,
parent: Option<&'a String>,
mut max_up: i64,
) {
let mut first_max_down = -INF;
let mut second_max_down = -INF;
for (v, _) in tree.adjacency_table().get(u).unwrap() {
if parent == Some(v) {
continue;
}
let dist_max_down = *max_down.get(v).unwrap();
if first_max_down < dist_max_down {
second_max_down = first_max_down;
first_max_down = dist_max_down;
} else {
second_max_down = second_max_down.max(dist_max_down);
}
}
let dist_from_root = *dist.get(u).unwrap();
max_up = max_up.max(0);
max_dist.insert(u, max_up.max(*max_down.get(u).unwrap() - dist_from_root));
for (v, weight) in tree.adjacency_table().get(u).unwrap() {
if parent == Some(v) {
continue;
}
let dist_max_down = *max_down.get(v).unwrap();
let mut max_dist_up = if first_max_down == dist_max_down {
second_max_down
} else {
first_max_down
};
max_dist_up = max_up.max(max_dist_up - dist_from_root) + *weight as i64;
depth_first_search_up(tree, dist, max_dist, max_down, v, Some(u), max_dist_up);
}
}
pub fn tree_center(tree: &UndirectedGraph) -> Option<Vec<String>> {
let node = tree.adjacency_table().keys().last();
if Option::is_none(&node) {
return None;
}
let mut dist = Table::new();
let mut max_dist = Table::new();
let mut max_down = Table::new();
let root = node.unwrap();
dist.insert(root, 0);
depth_first_search_down(tree, &mut dist, &mut max_down, root, None);
depth_first_search_up(
tree,
&mut dist,
&mut max_dist,
&mut max_down,
root,
None,
-INF,
);
let min_dist = max_dist.iter().map(|v| *v.1).min().unwrap();
let center = max_dist
.iter()
.filter(|v| *v.1 == min_dist)
.map(|v| (*v.0).clone())
.collect::<Vec<_>>();
Some(center)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_empty_graph() {
let tree = UndirectedGraph::new();
let center = tree_center(&tree);
assert_eq!(center, None);
}
#[test]
fn test_trivial_graph() {
let mut tree = UndirectedGraph::new();
let expected = vec!["0".to_string()];
tree.add_node("0");
let center = tree_center(&tree).unwrap();
assert_eq!(center, expected);
}
#[test]
fn test_edge() {
let mut tree = UndirectedGraph::new();
let expected = vec!["0".to_string(), "1".to_string()];
tree.add_edge(("0", "1", 1));
let mut center = tree_center(&tree).unwrap();
center.sort();
assert_eq!(center, expected);
}
#[test]
fn test_simple_path() {
let mut tree = UndirectedGraph::new();
let expected = vec!["2".to_string(), "3".to_string()];
tree.add_edge(("0", "1", 1));
tree.add_edge(("1", "2", 1));
tree.add_edge(("2", "3", 1));
tree.add_edge(("3", "4", 1));
tree.add_edge(("4", "5", 1));
let mut center = tree_center(&tree).unwrap();
center.sort();
assert_eq!(center, expected);
}
#[test]
fn test_star_tree() {
let mut tree = UndirectedGraph::new();
let expected = vec!["0".to_string()];
tree.add_edge(("0", "1", 1));
tree.add_edge(("0", "2", 1));
tree.add_edge(("0", "3", 1));
tree.add_edge(("0", "4", 1));
let center = tree_center(&tree).unwrap();
assert_eq!(center, expected);
}
#[test]
fn test_double_star_tree() {
let mut tree = UndirectedGraph::new();
let expected = vec!["0".to_string(), "1".to_string()];
tree.add_edge(("0", "2", 1));
tree.add_edge(("0", "3", 1));
tree.add_edge(("0", "4", 1));
tree.add_edge(("1", "5", 1));
tree.add_edge(("1", "6", 1));
tree.add_edge(("1", "7", 1));
tree.add_edge(("0", "1", 1));
let mut center = tree_center(&tree).unwrap();
center.sort();
assert_eq!(center, expected);
}
#[test]
fn test_simple_path_10_vertices_tree() {
let mut tree = UndirectedGraph::new();
let expected = ["10".to_string(), "9".to_string()];
tree.add_edge(("4", "1", 1));
tree.add_edge(("6", "5", 1));
tree.add_edge(("7", "2", 1));
tree.add_edge(("6", "3", 1));
tree.add_edge(("1", "7", 1));
tree.add_edge(("2", "10", 1));
tree.add_edge(("10", "9", 1));
tree.add_edge(("3", "8", 1));
tree.add_edge(("8", "9", 1));
let mut center = tree_center(&tree).unwrap();
center.sort();
assert_eq!(center, expected);
}
#[test]
fn test_simple_weighted_path() {
let mut tree = UndirectedGraph::new();
let expected = vec!["2".to_string()];
tree.add_edge(("4", "2", 10));
tree.add_edge(("2", "3", 5));
tree.add_edge(("3", "1", 5));
let center = tree_center(&tree).unwrap();
assert_eq!(center, expected);
}
#[test]
fn test_double_star_weighted_tree() {
let mut tree = UndirectedGraph::new();
let expected = vec!["1".to_string()];
tree.add_edge(("1", "2", 4));
tree.add_edge(("1", "3", 4));
tree.add_edge(("1", "4", 1));
tree.add_edge(("4", "5", 1));
let center = tree_center(&tree).unwrap();
assert_eq!(center, expected);
}
#[test]
fn test_star_weighted_tree() {
let mut tree = UndirectedGraph::new();
let expected = vec!["1".to_string(), "2".to_string()];
tree.add_edge(("1", "2", 0));
tree.add_edge(("1", "3", 2));
tree.add_edge(("1", "4", 2));
let mut center = tree_center(&tree).unwrap();
center.sort();
assert_eq!(center, expected);
}
}