/src/igraph/fuzzing/weighted_centrality.cpp
Line | Count | Source |
1 | | /* |
2 | | IGraph library. |
3 | | Copyright (C) 2024 The igraph development team |
4 | | |
5 | | This program is free software; you can redistribute it and/or modify |
6 | | it under the terms of the GNU General Public License as published by |
7 | | the Free Software Foundation; either version 2 of the License, or |
8 | | (at your option) any later version. |
9 | | |
10 | | This program is distributed in the hope that it will be useful, |
11 | | but WITHOUT ANY WARRANTY; without even the implied warranty of |
12 | | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
13 | | GNU General Public License for more details. |
14 | | |
15 | | You should have received a copy of the GNU General Public License |
16 | | along with this program; if not, write to the Free Software |
17 | | Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA |
18 | | 02110-1301 USA |
19 | | */ |
20 | | |
21 | | #include <igraph.h> |
22 | | #include <cstdlib> |
23 | | |
24 | 1.02k | extern "C" int LLVMFuzzerTestOneInput(const uint8_t *Data, size_t Size) { |
25 | 1.02k | igraph_t graph; |
26 | 1.02k | igraph_vector_int_t edges; |
27 | 1.02k | igraph_vector_t weights; |
28 | | |
29 | 1.02k | igraph_set_warning_handler(igraph_warning_handler_ignore); |
30 | | |
31 | 1.02k | if (Size % 3 == 0 || Size % 3 == 2 || Size > (3 * 256) + 1 || Size < 1) { |
32 | 15 | return 0; |
33 | 15 | } |
34 | | |
35 | 1.00k | igraph_vector_int_init(&edges, ((Size-1) / 3) * 2); |
36 | 1.00k | igraph_vector_init(&weights, (Size-1) / 3); |
37 | 24.4k | for (size_t i=0; i < ((Size-1) / 3); ++i) { |
38 | 23.4k | VECTOR(edges)[i * 2] = Data[i * 3 + 1]; |
39 | 23.4k | VECTOR(edges)[i * 2 + 1] = Data[i * 3 + 2]; |
40 | | // We keep the weights strictly positive, as this is required by some algorithms. |
41 | | // Error at src/centrality/betweenness.c:437 : Weight vector must be positive. - Invalid value. |
42 | 23.4k | VECTOR(weights)[i] = ((double) Data[i * 3 + 3] + 1.0) / 105.0; |
43 | 23.4k | } |
44 | | |
45 | | // Turn on attribute handling. Weights will be stored as an edge attribute |
46 | | // in order to allow graph simplification while retainingweights. |
47 | 1.00k | igraph_set_attribute_table(&igraph_cattribute_table); |
48 | | |
49 | 1.00k | igraph_rng_seed(igraph_rng_default(), 42); |
50 | | |
51 | 1.00k | if (igraph_create(&graph, &edges, Data[0], IGRAPH_DIRECTED) == IGRAPH_SUCCESS) { |
52 | 1.00k | igraph_vector_t v; |
53 | 1.00k | igraph_vector_int_t iv; |
54 | 1.00k | igraph_bool_t b; |
55 | 1.00k | igraph_real_t r; |
56 | | |
57 | | /* Limit graph size for the sake of performance. */ |
58 | 1.00k | if (igraph_vcount(&graph) <= 64) { |
59 | 960 | igraph_vector_init(&v, 0); |
60 | 960 | igraph_vector_int_init(&iv, 0); |
61 | | |
62 | 960 | igraph_betweenness_cutoff(&graph, &v, igraph_vss_all(), IGRAPH_ALL, &weights, 4); |
63 | 960 | igraph_betweenness_cutoff(&graph, &v, igraph_vss_all(), IGRAPH_IN, &weights, 5); |
64 | 960 | igraph_edge_betweenness_cutoff(&graph, &v, IGRAPH_DIRECTED, &weights, 4); |
65 | 960 | igraph_edge_betweenness_cutoff(&graph, &v, IGRAPH_UNDIRECTED, &weights, 3); |
66 | 960 | if (igraph_vcount(&graph) >= 10) { |
67 | 895 | igraph_betweenness_subset(&graph, &v, igraph_vss_all(), IGRAPH_DIRECTED, igraph_vss_range(0,5), igraph_vss_range(5,10), &weights); |
68 | 895 | igraph_edge_betweenness_subset(&graph, &v, igraph_ess_all(IGRAPH_EDGEORDER_ID), IGRAPH_DIRECTED, igraph_vss_range(0,10), igraph_vss_range(0,10), &weights); |
69 | 895 | } |
70 | 960 | igraph_closeness_cutoff(&graph, &v, &iv, &b, igraph_vss_all(), IGRAPH_ALL, &weights, true, 3); |
71 | 960 | igraph_closeness_cutoff(&graph, &v, &iv, &b, igraph_vss_all(), IGRAPH_OUT, &weights, true, 4); |
72 | 960 | igraph_harmonic_centrality_cutoff(&graph, &v, igraph_vss_all(), IGRAPH_ALL, &weights, true, 3); |
73 | 960 | igraph_harmonic_centrality_cutoff(&graph, &v, igraph_vss_all(), IGRAPH_IN, &weights, true, 4); |
74 | 960 | igraph_global_efficiency(&graph, &weights, &r, IGRAPH_DIRECTED); |
75 | 960 | igraph_local_efficiency(&graph, &weights, &v, igraph_vss_all(), IGRAPH_DIRECTED, IGRAPH_OUT); |
76 | 960 | igraph_pagerank(&graph, IGRAPH_PAGERANK_ALGO_PRPACK, &v, &r, igraph_vss_all(), IGRAPH_DIRECTED, 0.6, &weights, NULL); |
77 | 960 | igraph_constraint(&graph, &v, igraph_vss_all(), &weights); |
78 | | |
79 | 960 | { |
80 | 960 | igraph_attribute_combination_t comb; |
81 | 960 | SETEANV(&graph, "weight", &weights); |
82 | 960 | igraph_attribute_combination(&comb, |
83 | 960 | "weight", IGRAPH_ATTRIBUTE_COMBINE_SUM, |
84 | 960 | IGRAPH_NO_MORE_ATTRIBUTES); |
85 | | // This operation would be simpler if we use IGRAPH_TO_UNDIRECTED_EACH, |
86 | | // as collapsing edges happens in the simplification step anyway. |
87 | | // We use IGRAPH_TO_UNDIRECTED_COLLAPSE to exercise more code. |
88 | 960 | igraph_to_undirected(&graph, IGRAPH_TO_UNDIRECTED_COLLAPSE, &comb); |
89 | 960 | igraph_simplify(&graph, true, true, &comb); |
90 | 960 | igraph_attribute_combination_destroy(&comb); |
91 | 960 | EANV(&graph, "weight", &weights); |
92 | 960 | DELEA(&graph, "weight"); |
93 | 960 | } |
94 | | |
95 | 960 | igraph_diversity(&graph, &weights, &v, igraph_vss_all()); |
96 | 960 | igraph_transitivity_barrat(&graph, &v, igraph_vss_all(), &weights, IGRAPH_TRANSITIVITY_NAN); |
97 | | |
98 | 960 | igraph_vector_int_destroy(&iv); |
99 | 960 | igraph_vector_destroy(&v); |
100 | 960 | } |
101 | | |
102 | 1.00k | igraph_destroy(&graph); |
103 | 1.00k | } |
104 | | |
105 | 1.00k | igraph_vector_int_destroy(&edges); |
106 | 1.00k | igraph_vector_destroy(&weights); |
107 | | |
108 | 1.00k | IGRAPH_ASSERT(IGRAPH_FINALLY_STACK_EMPTY); |
109 | | |
110 | 1.00k | return 0; // Non-zero return values are reserved for future use. |
111 | 1.00k | } |