Open Fre0Grella opened 1 month ago
@Fre0Grella nx-parallel algorithms receive a ParallelGraph
object, so you need to convert it back to the nx.Graph
object to run the usual graph object methods on it. That's why you'll see the following lines in all the nx-parallel algorithms
if hasattr(G, "graph_object"):
G = G.graph_object
Hopefully this will make the tests pass.
Thanks!
@Schefflera-Arboricola Hi, thanks for the first advice, i hope you could help with this one too.
Running the test i got an error that i don't understand;
on the closeness.py file, when i use joblib Parallel to call the _closeness_measure
function (that from a row of the adjacency matrix get the value of closeness for the node rappresented by the row) i get the error in the joblib code saying TypeError: 'numpy.float64' object is not callable
.
I tried changing the data format thinking that joblib doesn't support numpy data structure but he kept saying in this case TypeError: 'float' object is not callable
.
Hi @Fre0Grella, Thank you for your contribution :)
Is this PR ready for review? I will aim to get to it as soon as possible, though I cannot provide a specific timeline at the moment. I'm also tagging @dschult in case he would like to review it.
Additionally, could you let us know if there is a deadline for your final project and if this PR needs to be merged before then?
Thank you :)
Hi @Schefflera-Arboricola, the PR is ready for review although i aim to improve the performance further. The dead line of the project is due the 18 of September. I doesn't need the PR to be merged before that
Hi, i'm marco, a students from the university of Bologna. For my final project i want to contribute this repository adding the closeness centrality and the floyd warshall algorithms for numpy. The closeness centrality use the newly implemented floyd warshall. The parallelized floyd warshall is a version of tiled FW referenced in the code.