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decorator==4.4.2 | ||
pillow<10.0.0;python_version<'3.13' | ||
pillow>=10.1 | ||
lxml==5.1.1 |
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--- | ||
features: | ||
- | | ||
Added a new function, :func:`~rustworkx.generators.karate_club_graph` that | ||
returns Zachary's Karate Club graph, commonly found in social network examples. | ||
.. jupyter-execute:: | ||
import rustworkx.generators | ||
from rustworkx.visualization import mpl_draw | ||
graph = rustworkx.generators.karate_club_graph() | ||
layout = rustworkx.circular_layout(graph) | ||
mpl_draw(graph, pos=layout) |
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// Licensed under the Apache License, Version 2.0 (the "License"); you may | ||
// not use this file except in compliance with the License. You may obtain | ||
// a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, WITHOUT | ||
// WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the | ||
// License for the specific language governing permissions and limitations | ||
// under the License. | ||
|
||
use std::hash::Hash; | ||
|
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use petgraph::data::{Build, Create}; | ||
use petgraph::visit::{Data, NodeIndexable}; | ||
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/// Generates Zachary's Karate Club graph. | ||
/// | ||
/// Zachary's Karate Club graph is a well-known social network that represents | ||
/// the relations between 34 members of a karate club. | ||
/// Arguments: | ||
/// | ||
/// * `default_node_weight` - A callable that will receive a boolean, indicating | ||
/// if a node is part of Mr Hi's faction (True) or the Officer's faction (false). | ||
/// It shoudl return the node weight according to the desired type. | ||
/// * `default_edge_weight` - A callable that will receive the integer representing | ||
/// the strenght of the relation between two nodes. It should return the edge | ||
/// weight according to the desired type. | ||
/// | ||
pub fn karate_club_graph<G, T, F, H, M>(mut default_node_weight: F, mut default_edge_weight: H) -> G | ||
where | ||
G: Build + Create + Data<NodeWeight = T, EdgeWeight = M> + NodeIndexable, | ||
F: FnMut(bool) -> T, | ||
H: FnMut(usize) -> M, | ||
G::NodeId: Eq + Hash, | ||
{ | ||
const N: usize = 34; | ||
const M: usize = 78; | ||
let mr_hi_members: [u8; 17] = [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 16, 17, 19, 21]; | ||
let membership: std::collections::HashSet<u8> = mr_hi_members.into_iter().collect(); | ||
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let adjacency_list: Vec<Vec<(usize, usize)>> = vec![ | ||
vec![], | ||
vec![(0, 4)], | ||
vec![(0, 5), (1, 6)], | ||
vec![(0, 3), (1, 3), (2, 3)], | ||
vec![(0, 3)], | ||
vec![(0, 3)], | ||
vec![(0, 3), (4, 2), (5, 5)], | ||
vec![(0, 2), (1, 4), (2, 4), (3, 3)], | ||
vec![(0, 2), (2, 5)], | ||
vec![(2, 1)], | ||
vec![(0, 2), (4, 3), (5, 3)], | ||
vec![(0, 3)], | ||
vec![(0, 1), (3, 3)], | ||
vec![(0, 3), (1, 5), (2, 3), (3, 3)], | ||
vec![], | ||
vec![], | ||
vec![(5, 3), (6, 3)], | ||
vec![(0, 2), (1, 1)], | ||
vec![], | ||
vec![(0, 2), (1, 2)], | ||
vec![], | ||
vec![(0, 2), (1, 2)], | ||
vec![], | ||
vec![], | ||
vec![], | ||
vec![(23, 5), (24, 2)], | ||
vec![], | ||
vec![(2, 2), (23, 4), (24, 3)], | ||
vec![(2, 2)], | ||
vec![(23, 3), (26, 4)], | ||
vec![(1, 2), (8, 3)], | ||
vec![(0, 2), (24, 2), (25, 7), (28, 2)], | ||
vec![ | ||
(2, 2), | ||
(8, 3), | ||
(14, 3), | ||
(15, 3), | ||
(18, 1), | ||
(20, 3), | ||
(22, 2), | ||
(23, 5), | ||
(29, 4), | ||
(30, 3), | ||
(31, 4), | ||
], | ||
vec![ | ||
(8, 4), | ||
(9, 2), | ||
(13, 3), | ||
(14, 2), | ||
(15, 4), | ||
(18, 2), | ||
(19, 1), | ||
(20, 1), | ||
(23, 4), | ||
(26, 2), | ||
(27, 4), | ||
(28, 2), | ||
(29, 2), | ||
(30, 3), | ||
(31, 4), | ||
(32, 5), | ||
(22, 3), | ||
], | ||
]; | ||
|
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let mut graph = G::with_capacity(N, M); | ||
|
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let mut node_indices = Vec::with_capacity(N); | ||
for (row, neighbors) in adjacency_list.into_iter().enumerate() { | ||
let node_id = graph.add_node(default_node_weight(membership.contains(&(row as u8)))); | ||
node_indices.push(node_id); | ||
|
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for (neighbor, weight) in neighbors.into_iter() { | ||
graph.add_edge( | ||
node_indices[neighbor], | ||
node_indices[row], | ||
default_edge_weight(weight), | ||
); | ||
} | ||
} | ||
graph | ||
} |
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