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94%

master: 94%

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Parallelize set cover instances across genome groupings

This can provide runtime improvement when genomes are grouped (e.g., as
a result of clustering, as specified in the input, or for
identification). It parallelizes solving set cover instances -- one
bottleneck overall -- across those independent groupings.

2026 of 2276 branches covered (89.02%)

5614 of 5957 relevant lines covered (94.24%)

0.94 hits per line