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kahypar / mt-kahypar

Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
MIT License
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hmod.precompute_attributes removes or does not remove singletons based off of the OS (inconsistent behaviour) #149

Closed Leo-Aus-Berlin closed 1 year ago

Leo-Aus-Berlin commented 1 year ago

Depending on which OS is being used the following will print different results:

import hypernetx as hnx
import hypernetx.algorithms.hypergraph_modularity as hmod
formulaDict,stringTree = readFile("./CDL-FMINCE/toybox.dimacs") # code by me
H=formulaToHypergraph(formulaDict)
HDual = H.dual()
H=hmod.precompute_attributes(H)
HDual = hmod.precompute_attributes(HDual)

#this should diverge based off of OS

print(len(list(H.nodes())))
print(len(list(HDual.nodes())))

On the linux systems the results are 544 and 590, while on Windows I get 175 and 221.

I was using ANTLR4 with python integration to parse a dimacs (SAT) file and interpret it as a hypergraph. The resulting graph has 544 nodes and 590 edges before the attributes are computed.

Compared Systems

Ubuntu system:

Debian

Windows

larsgottesbueren commented 1 year ago

This doesn't look like it's related to mt-kahypar. Feel free to reopen otherwise.

Leo-Aus-Berlin commented 1 year ago

Oops. Wrong Git-Repo Tab. My sincerest Apologies...