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I see 2 eventual options for making this super-lengthy test faster:
Maybe a more efficient, "super-fancy" SPARQL query?
Use Python to find duplicates in an indexed collection. For example along the lines of: Use SPARQL to output all labels and concept/etc. IDs; read into Pandas to find duplicates; return the output in a Caséologue style.
It is really a "show-slower" in all work on the GitHub Actions and Caséologue itself, waiting 10-80 minutes after each push... 🙁
I see 2 eventual options for making this super-lengthy test faster:
Maybe a more efficient, "super-fancy" SPARQL query?
Use Python to find duplicates in an indexed collection. For example along the lines of: Use SPARQL to output all labels and concept/etc. IDs; read into Pandas to find duplicates; return the output in a Caséologue style.
It is really a "show-slower" in all work on the GitHub Actions and Caséologue itself, waiting 10-80 minutes after each push... 🙁
In either case, advise from @albangaignard please 😊
@maanst is motivated to work on this 🙌🏽
Note: Please also look at the unit test for "duplicate all" in test_caseologue. It is disabled for this reason currently.
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