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Move binomial_tree_graph generator to rustworkx-core (#781)
* Initial bi tree * Start rework * First tests * Finish tests * Clippy
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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. | ||
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use petgraph::data::{Build, Create}; | ||
use petgraph::visit::{Data, EdgeRef, GraphBase, IntoEdgeReferences, NodeIndexable}; | ||
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use super::InvalidInputError; | ||
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/// Generate a binomial tree graph | ||
/// | ||
/// Arguments: | ||
/// | ||
/// * `order` - The order of the binomial tree. | ||
/// * `weights` - A `Vec` of node weight objects. If the number of weights is | ||
/// less than 2**order extra nodes with None will be appended. | ||
/// * `default_node_weight` - A callable that will return the weight to use | ||
/// for newly created nodes. This is ignored if `weights` is specified, | ||
/// as the weights from that argument will be used instead. | ||
/// * `default_edge_weight` - A callable that will return the weight object | ||
/// to use for newly created edges. | ||
/// * `bidirectional` - Whether edges are added bidirectionally, if set to | ||
/// `true` then for any edge `(u, v)` an edge `(v, u)` will also be added. | ||
/// If the graph is undirected this will result in a pallel edge. | ||
/// | ||
/// # Example | ||
/// ```rust | ||
/// use rustworkx_core::petgraph; | ||
/// use rustworkx_core::generators::binomial_tree_graph; | ||
/// use rustworkx_core::petgraph::visit::EdgeRef; | ||
/// | ||
/// let expected_edge_list = vec![ | ||
/// (0, 1), | ||
/// (2, 3), | ||
/// (0, 2), | ||
/// (4, 5), | ||
/// (6, 7), | ||
/// (4, 6), | ||
/// (0, 4), | ||
/// (8, 9), | ||
/// (10, 11), | ||
/// (8, 10), | ||
/// (12, 13), | ||
/// (14, 15), | ||
/// (12, 14), | ||
/// (8, 12), | ||
/// (0, 8), | ||
/// ]; | ||
/// let g: petgraph::graph::UnGraph<(), ()> = binomial_tree_graph( | ||
/// 4, | ||
/// None, | ||
/// || {()}, | ||
/// || {()}, | ||
/// false | ||
/// ).unwrap(); | ||
/// assert_eq!( | ||
/// expected_edge_list, | ||
/// g.edge_references() | ||
/// .map(|edge| (edge.source().index(), edge.target().index())) | ||
/// .collect::<Vec<(usize, usize)>>(), | ||
/// ) | ||
/// ``` | ||
pub fn binomial_tree_graph<G, T, F, H, M>( | ||
order: u32, | ||
weights: Option<Vec<T>>, | ||
mut default_node_weight: F, | ||
mut default_edge_weight: H, | ||
bidirectional: bool, | ||
) -> Result<G, InvalidInputError> | ||
where | ||
G: Build + Create + Data<NodeWeight = T, EdgeWeight = M> + NodeIndexable, | ||
for<'b> &'b G: GraphBase<NodeId = G::NodeId> + IntoEdgeReferences + Copy, | ||
F: FnMut() -> T, | ||
H: FnMut() -> M, | ||
T: Clone, | ||
{ | ||
if order >= 60 { | ||
return Err(InvalidInputError {}); | ||
} | ||
let num_nodes = usize::pow(2, order); | ||
let num_edges = usize::pow(2, order) - 1; | ||
let mut graph = G::with_capacity(num_nodes, num_edges); | ||
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for i in 0..num_nodes { | ||
match weights { | ||
Some(ref weights) => { | ||
if weights.len() > num_nodes { | ||
return Err(InvalidInputError {}); | ||
} | ||
if i < weights.len() { | ||
graph.add_node(weights[i].clone()) | ||
} else { | ||
graph.add_node(default_node_weight()) | ||
} | ||
} | ||
None => graph.add_node(default_node_weight()), | ||
}; | ||
} | ||
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fn find_edge<G>(graph: &mut G, source: usize, target: usize) -> bool | ||
where | ||
G: NodeIndexable, | ||
for<'b> &'b G: GraphBase<NodeId = G::NodeId> + IntoEdgeReferences, | ||
{ | ||
let mut found = false; | ||
for edge in graph.edge_references() { | ||
if graph.to_index(edge.source()) == source && graph.to_index(edge.target()) == target { | ||
found = true; | ||
break; | ||
} | ||
} | ||
found | ||
} | ||
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let mut n = 1; | ||
let zero_index = 0; | ||
for _ in 0..order { | ||
let edges: Vec<(usize, usize)> = graph | ||
.edge_references() | ||
.map(|e| (graph.to_index(e.source()), graph.to_index(e.target()))) | ||
.collect(); | ||
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for (source, target) in edges { | ||
let source_index = source + n; | ||
let target_index = target + n; | ||
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if !find_edge(&mut graph, source_index, target_index) { | ||
graph.add_edge( | ||
graph.from_index(source_index), | ||
graph.from_index(target_index), | ||
default_edge_weight(), | ||
); | ||
} | ||
if bidirectional && !find_edge(&mut graph, target_index, source_index) { | ||
graph.add_edge( | ||
graph.from_index(target_index), | ||
graph.from_index(source_index), | ||
default_edge_weight(), | ||
); | ||
} | ||
} | ||
if !find_edge(&mut graph, zero_index, n) { | ||
graph.add_edge( | ||
graph.from_index(zero_index), | ||
graph.from_index(n), | ||
default_edge_weight(), | ||
); | ||
} | ||
if bidirectional && !find_edge(&mut graph, n, zero_index) { | ||
graph.add_edge( | ||
graph.from_index(n), | ||
graph.from_index(zero_index), | ||
default_edge_weight(), | ||
); | ||
} | ||
n *= 2; | ||
} | ||
Ok(graph) | ||
} | ||
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#[cfg(test)] | ||
mod tests { | ||
use crate::generators::binomial_tree_graph; | ||
use crate::generators::InvalidInputError; | ||
use crate::petgraph; | ||
use crate::petgraph::visit::EdgeRef; | ||
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#[test] | ||
fn test_binomial_tree_graph() { | ||
let expected_edge_list = vec![ | ||
(0, 1), | ||
(2, 3), | ||
(0, 2), | ||
(4, 5), | ||
(6, 7), | ||
(4, 6), | ||
(0, 4), | ||
(8, 9), | ||
(10, 11), | ||
(8, 10), | ||
(12, 13), | ||
(14, 15), | ||
(12, 14), | ||
(8, 12), | ||
(0, 8), | ||
]; | ||
let g: petgraph::graph::UnGraph<(), ()> = | ||
binomial_tree_graph(4, None, || (), || (), false).unwrap(); | ||
assert_eq!( | ||
expected_edge_list, | ||
g.edge_references() | ||
.map(|edge| (edge.source().index(), edge.target().index())) | ||
.collect::<Vec<(usize, usize)>>(), | ||
); | ||
} | ||
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#[test] | ||
fn test_directed_binomial_tree_graph() { | ||
let expected_edge_list = vec![ | ||
(0, 1), | ||
(2, 3), | ||
(0, 2), | ||
(4, 5), | ||
(6, 7), | ||
(4, 6), | ||
(0, 4), | ||
(8, 9), | ||
(10, 11), | ||
(8, 10), | ||
(12, 13), | ||
(14, 15), | ||
(12, 14), | ||
(8, 12), | ||
(0, 8), | ||
]; | ||
let g: petgraph::graph::DiGraph<(), ()> = | ||
binomial_tree_graph(4, None, || (), || (), false).unwrap(); | ||
assert_eq!( | ||
expected_edge_list, | ||
g.edge_references() | ||
.map(|edge| (edge.source().index(), edge.target().index())) | ||
.collect::<Vec<(usize, usize)>>(), | ||
); | ||
} | ||
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#[test] | ||
fn test_binomial_tree_error() { | ||
match binomial_tree_graph::<petgraph::graph::DiGraph<(), ()>, (), _, _, ()>( | ||
75, | ||
None, | ||
|| (), | ||
|| (), | ||
false, | ||
) { | ||
Ok(_) => panic!("Returned a non-error"), | ||
Err(e) => assert_eq!(e, InvalidInputError), | ||
}; | ||
} | ||
} |
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