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Add barabasi_albert_graph random graph functions #1007
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This commit adds new random graph functions to rustworkx and rustworkx-core to implement a random graph generator using the Barabási–Albert preferential attachment method. It takes an input graph (defaulting to a star graph) and then extends it to a given size.
Pull Request Test Coverage Report for Build 6567441488
💛 - Coveralls |
I'll take a look at this. |
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A few minor changes and a couple of questions.
n, | ||
m, | ||
seed, | ||
initial_graph.map(|x| x.graph), |
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Not exactly sure what this line is doing.
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Option<T>.map()
is just syntactical sugar and this is the equivalent of
match initial_graph {
Some(graph) => Some(graph.graph),
None => None,
}
Basically the type for initial_graph
is Option<PyGraph>
but the rustworkx-core function needs Option<StablePyGraph>
so I'm using a map here to pass the inner .graph
attribute if initial graph is set.
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Ah, got it. Thanks.
Co-authored-by: Edwin Navarro <[email protected]>
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LGTM.
This commit adds new random graph functions to rustworkx and rustworkx-core to implement a random graph generator using the Barabási–Albert preferential attachment method. It takes an input graph (defaulting to a star graph) and then extends it to a given size.