topograph: Directed acyclic graphs.
Directed acyclic graphs can be sorted topographically. Existence of topographic ordering allows writing many graph algorithms efficiently. And many graphs, e.g. most dependency graphs are acyclic!
There are some algorithms build-in: dfs, transpose, transitive closure, transitive reduction... Some algorithms even become not-so-hard to implement, like a longest path!
|Dependencies||base (>=4.6 && <4.14), base-compat (>=0.10.5 && <0.11 || >=0.11.0 && <0.12), base-orphans (==0.8.*), containers (>=0.5.0.0 && <0.6 || >=0.6.0.1 && <0.7), vector (==0.12.*) [details]|
|Copyright||(c) 2018-2019 Oleg Grenrus|
|Author||Oleg Grenrus <email@example.com>|
|Revised||Revision 2 made by phadej at Tue Sep 10 06:17:29 UTC 2019|
|Source repo||head: git clone https://github.com/phadej/topograph.git|
|Uploaded||by phadej at Mon Mar 11 19:35:03 UTC 2019|
|Downloads||497 total (107 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
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