rust-igraph 0.7.0

Pure-Rust, high-performance graph & network analysis library — 1297 APIs, zero unsafe, igraph-compatible
Documentation
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
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
//! Feedback vertex set (ALGO-CY-003).
//!
//! A feedback vertex set (FVS) is a set of vertices whose removal makes
//! the graph acyclic. Finding a minimum FVS is NP-complete on both
//! directed and undirected graphs.
//!
//! We implement a greedy heuristic: repeatedly find a cycle, remove the
//! vertex with the highest degree from it, and repeat until no cycles
//! remain. This is O((V+E)·|FVS|) and produces a reasonable
//! approximation.
//!
//! Counterpart of `igraph_feedback_vertex_set` (which uses GLPK IP in C;
//! here we provide a dependency-free greedy heuristic).

use crate::core::{Graph, IgraphError, IgraphResult, VertexId};

/// Algorithm choice for computing the feedback vertex set.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum FvsAlgorithm {
    /// Greedy heuristic: iteratively remove the highest-degree vertex
    /// from each discovered cycle.
    Greedy,
}

/// Compute a feedback vertex set — a set of vertex IDs whose removal
/// makes the graph acyclic.
///
/// Uses a greedy heuristic that repeatedly finds a cycle and removes
/// the vertex with the highest degree. Not guaranteed to be minimum.
///
/// # Errors
///
/// - Returns an error if `weights` length does not match `vcount`.
/// - Returns an error if weights contain non-finite values.
///
/// # Examples
///
/// ```
/// use rust_igraph::{Graph, feedback_vertex_set, FvsAlgorithm};
///
/// // Directed cycle 0 → 1 → 2 → 0: removing one vertex breaks it.
/// let mut g = Graph::new(3, true).unwrap();
/// g.add_edge(0, 1).unwrap();
/// g.add_edge(1, 2).unwrap();
/// g.add_edge(2, 0).unwrap();
/// let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
/// assert_eq!(fvs.len(), 1);
///
/// // DAG: no feedback vertices needed.
/// let mut g = Graph::new(3, true).unwrap();
/// g.add_edge(0, 1).unwrap();
/// g.add_edge(1, 2).unwrap();
/// let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
/// assert!(fvs.is_empty());
/// ```
pub fn feedback_vertex_set(
    graph: &Graph,
    weights: Option<&[f64]>,
    _algo: FvsAlgorithm,
) -> IgraphResult<Vec<VertexId>> {
    let n = graph.vcount();

    if let Some(w) = weights {
        if w.len() != n as usize {
            return Err(IgraphError::InvalidArgument(format!(
                "weights length {} does not match vcount {}",
                w.len(),
                n
            )));
        }
        if !w.iter().all(|x| x.is_finite()) {
            return Err(IgraphError::InvalidArgument(
                "weights must be finite".into(),
            ));
        }
    }

    if graph.ecount() == 0 {
        return Ok(Vec::new());
    }

    fvs_greedy(graph, weights)
}

fn find_cycle_avoiding(
    graph: &Graph,
    removed: &[bool],
    directed: bool,
) -> IgraphResult<Vec<VertexId>> {
    let n = graph.vcount();
    let mut seen = vec![0u8; n as usize]; // 0=unseen, 1=ancestor, 2=visited

    let mut stack: Vec<(VertexId, usize)> = Vec::new();
    let mut path: Vec<VertexId> = Vec::new();

    for start in 0..n {
        if removed[start as usize] || seen[start as usize] != 0 {
            continue;
        }

        stack.clear();
        stack.push((start, 0));
        path.clear();

        while let Some(&mut (v, ref mut idx)) = stack.last_mut() {
            if *idx == 0 {
                if seen[v as usize] == 1 {
                    // Found a cycle back to v
                    let mut cycle = Vec::new();
                    let pos = path.iter().rposition(|&x| x == v).unwrap_or(0);
                    for &cv in &path[pos..] {
                        cycle.push(cv);
                    }
                    cycle.push(v);
                    return Ok(cycle);
                }
                if seen[v as usize] == 2 {
                    stack.pop();
                    continue;
                }
                seen[v as usize] = 1;
                path.push(v);
            }

            let neighbors = if directed {
                graph.out_neighbors_vec(v)?
            } else {
                graph.neighbors(v)?
            };

            let mut found_next = false;
            while *idx < neighbors.len() {
                let w = neighbors[*idx];
                *idx += 1;

                if removed[w as usize] {
                    continue;
                }

                if !directed && path.len() >= 2 && w == path[path.len() - 2] {
                    continue;
                }

                if seen[w as usize] == 1 {
                    // Found cycle: path from w's position to current + w
                    let mut cycle = Vec::new();
                    let pos = path.iter().rposition(|&x| x == w).unwrap_or(0);
                    for &cv in &path[pos..] {
                        cycle.push(cv);
                    }
                    return Ok(cycle);
                }

                if seen[w as usize] == 0 {
                    stack.push((w, 0));
                    found_next = true;
                    break;
                }
            }

            if !found_next {
                seen[v as usize] = 2;
                path.pop();
                stack.pop();
            }
        }
    }

    Ok(Vec::new())
}

#[allow(clippy::cast_possible_truncation)] // degree ≤ vcount which is u32
fn effective_degree(
    graph: &Graph,
    v: VertexId,
    removed: &[bool],
    directed: bool,
) -> IgraphResult<u32> {
    if directed {
        let out_n = graph.out_neighbors_vec(v)?;
        let in_n = graph.in_neighbors_vec(v)?;
        let out_deg = out_n.iter().filter(|&&w| !removed[w as usize]).count() as u32;
        let in_deg = in_n.iter().filter(|&&w| !removed[w as usize]).count() as u32;
        Ok(out_deg.saturating_add(in_deg))
    } else {
        let n = graph.neighbors(v)?;
        Ok(n.iter().filter(|&&w| !removed[w as usize]).count() as u32)
    }
}

fn pick_best_vertex(
    graph: &Graph,
    cycle: &[VertexId],
    weights: Option<&[f64]>,
    removed: &[bool],
    directed: bool,
) -> IgraphResult<VertexId> {
    let mut best_v = cycle[0];
    if let Some(w) = weights {
        let mut best_w = w[cycle[0] as usize];
        for &v in &cycle[1..] {
            let vw = w[v as usize];
            if vw > best_w || (vw > best_w - f64::EPSILON && v < best_v) {
                best_w = vw;
                best_v = v;
            }
        }
    } else {
        let mut best_deg = effective_degree(graph, cycle[0], removed, directed)?;
        for &v in &cycle[1..] {
            let deg = effective_degree(graph, v, removed, directed)?;
            if deg > best_deg || (deg == best_deg && v < best_v) {
                best_deg = deg;
                best_v = v;
            }
        }
    }
    Ok(best_v)
}

fn fvs_greedy(graph: &Graph, weights: Option<&[f64]>) -> IgraphResult<Vec<VertexId>> {
    let n = graph.vcount();
    let directed = graph.is_directed();
    let mut removed = vec![false; n as usize];
    let mut result = Vec::new();

    loop {
        let cycle = find_cycle_avoiding(graph, &removed, directed)?;
        if cycle.is_empty() {
            break;
        }

        let best_v = pick_best_vertex(graph, &cycle, weights, &removed, directed)?;
        removed[best_v as usize] = true;
        result.push(best_v);
    }

    result.sort_unstable();
    Ok(result)
}

#[cfg(test)]
mod tests {
    use super::*;

    fn graph_is_acyclic_without(graph: &Graph, fvs: &[VertexId]) -> bool {
        let n = graph.vcount();
        let mut removed = vec![false; n as usize];
        for &v in fvs {
            removed[v as usize] = true;
        }
        let cycle = find_cycle_avoiding(graph, &removed, graph.is_directed()).unwrap();
        cycle.is_empty()
    }

    #[test]
    fn empty_graph() {
        let g = Graph::with_vertices(0);
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert!(fvs.is_empty());
    }

    #[test]
    fn no_edges() {
        let g = Graph::with_vertices(5);
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert!(fvs.is_empty());
    }

    #[test]
    fn dag_no_feedback() {
        let mut g = Graph::new(4, true).unwrap();
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 2).unwrap();
        g.add_edge(2, 3).unwrap();
        g.add_edge(0, 3).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert!(fvs.is_empty());
    }

    #[test]
    fn simple_directed_cycle() {
        let mut g = Graph::new(3, true).unwrap();
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 2).unwrap();
        g.add_edge(2, 0).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert_eq!(fvs.len(), 1);
        assert!(graph_is_acyclic_without(&g, &fvs));
    }

    #[test]
    fn directed_cycle_4() {
        let mut g = Graph::new(4, true).unwrap();
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 2).unwrap();
        g.add_edge(2, 3).unwrap();
        g.add_edge(3, 0).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert_eq!(fvs.len(), 1);
        assert!(graph_is_acyclic_without(&g, &fvs));
    }

    #[test]
    fn undirected_tree_no_feedback() {
        let mut g = Graph::with_vertices(5);
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 2).unwrap();
        g.add_edge(1, 3).unwrap();
        g.add_edge(3, 4).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert!(fvs.is_empty());
    }

    #[test]
    fn undirected_triangle() {
        let mut g = Graph::with_vertices(3);
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 2).unwrap();
        g.add_edge(2, 0).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert_eq!(fvs.len(), 1);
        assert!(graph_is_acyclic_without(&g, &fvs));
    }

    #[test]
    fn two_directed_cycles_sharing_vertex() {
        // 0→1→2→0, 0→3→4→0
        let mut g = Graph::new(5, true).unwrap();
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 2).unwrap();
        g.add_edge(2, 0).unwrap();
        g.add_edge(0, 3).unwrap();
        g.add_edge(3, 4).unwrap();
        g.add_edge(4, 0).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        // Removing vertex 0 breaks both cycles
        assert!(fvs.len() <= 2);
        assert!(graph_is_acyclic_without(&g, &fvs));
    }

    #[test]
    fn bidirectional_edges() {
        let mut g = Graph::new(2, true).unwrap();
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 0).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert_eq!(fvs.len(), 1);
        assert!(graph_is_acyclic_without(&g, &fvs));
    }

    #[test]
    fn self_loop_directed() {
        let mut g = Graph::new(3, true).unwrap();
        g.add_edge(0, 0).unwrap();
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 2).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert_eq!(fvs.len(), 1);
        assert!(fvs.contains(&0));
        assert!(graph_is_acyclic_without(&g, &fvs));
    }

    #[test]
    fn self_loop_undirected() {
        let mut g = Graph::with_vertices(3);
        g.add_edge(0, 0).unwrap();
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 2).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert_eq!(fvs.len(), 1);
        assert!(fvs.contains(&0));
    }

    #[test]
    fn undirected_k4() {
        let mut g = Graph::with_vertices(4);
        for u in 0..4u32 {
            for v in (u + 1)..4 {
                g.add_edge(u, v).unwrap();
            }
        }
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        // K4 needs at least 2 vertex removals to become acyclic
        assert!(fvs.len() >= 2);
        assert!(graph_is_acyclic_without(&g, &fvs));
    }

    #[test]
    fn weighted_picks_heaviest() {
        let mut g = Graph::new(3, true).unwrap();
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 2).unwrap();
        g.add_edge(2, 0).unwrap();
        // Vertex 1 has highest weight — should be picked first
        let weights = vec![1.0, 10.0, 1.0];
        let fvs = feedback_vertex_set(&g, Some(&weights), FvsAlgorithm::Greedy).unwrap();
        assert_eq!(fvs.len(), 1);
        assert_eq!(fvs[0], 1);
    }

    #[test]
    fn invalid_weights_length() {
        let g = Graph::with_vertices(3);
        let weights = vec![1.0]; // wrong length
        assert!(feedback_vertex_set(&g, Some(&weights), FvsAlgorithm::Greedy).is_err());
    }

    #[test]
    fn nan_weights_rejected() {
        let mut g = Graph::with_vertices(2);
        g.add_edge(0, 1).unwrap();
        let weights = vec![f64::NAN, 1.0];
        assert!(feedback_vertex_set(&g, Some(&weights), FvsAlgorithm::Greedy).is_err());
    }

    #[test]
    fn isolated_vertices() {
        let g = Graph::new(5, true).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert!(fvs.is_empty());
    }

    #[test]
    fn complex_directed() {
        // Two overlapping cycles: 0→1→2→0 and 2→3→4→2
        let mut g = Graph::new(5, true).unwrap();
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 2).unwrap();
        g.add_edge(2, 0).unwrap();
        g.add_edge(2, 3).unwrap();
        g.add_edge(3, 4).unwrap();
        g.add_edge(4, 2).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        // Removing vertex 2 breaks both cycles
        assert!(fvs.len() <= 2);
        assert!(graph_is_acyclic_without(&g, &fvs));
    }

    #[test]
    fn sorted_output() {
        let mut g = Graph::new(6, true).unwrap();
        g.add_edge(0, 1).unwrap();
        g.add_edge(1, 0).unwrap();
        g.add_edge(2, 3).unwrap();
        g.add_edge(3, 2).unwrap();
        g.add_edge(4, 5).unwrap();
        g.add_edge(5, 4).unwrap();
        let fvs = feedback_vertex_set(&g, None, FvsAlgorithm::Greedy).unwrap();
        assert_eq!(fvs.len(), 3);
        // Verify sorted
        for i in 1..fvs.len() {
            assert!(fvs[i] > fvs[i - 1]);
        }
        assert!(graph_is_acyclic_without(&g, &fvs));
    }
}