Comment by blibble 3 days ago def accept_grant(application): return random.choice([True, False]) 7 comments blibble Reply layer8 3 days ago The article is about grant termination, not the acceptance of applications. blibble 3 days ago turns out this function works just as well for that too lcnPylGDnU4H9OF 3 days ago I think I'd have to reject it in review. The parameter is not used and should therefore be prepended with an underscore or literally be named "_" to signal such to a reader. Machado117 3 days ago only 50% of the time Hamuko 3 days ago Is this the classic model? gs17 3 days ago No, that accepts far too many grants. You'd need to add weights=[1, 100] to it.
layer8 3 days ago The article is about grant termination, not the acceptance of applications. blibble 3 days ago turns out this function works just as well for that too lcnPylGDnU4H9OF 3 days ago I think I'd have to reject it in review. The parameter is not used and should therefore be prepended with an underscore or literally be named "_" to signal such to a reader. Machado117 3 days ago only 50% of the time
blibble 3 days ago turns out this function works just as well for that too lcnPylGDnU4H9OF 3 days ago I think I'd have to reject it in review. The parameter is not used and should therefore be prepended with an underscore or literally be named "_" to signal such to a reader. Machado117 3 days ago only 50% of the time
lcnPylGDnU4H9OF 3 days ago I think I'd have to reject it in review. The parameter is not used and should therefore be prepended with an underscore or literally be named "_" to signal such to a reader.
Hamuko 3 days ago Is this the classic model? gs17 3 days ago No, that accepts far too many grants. You'd need to add weights=[1, 100] to it.
The article is about grant termination, not the acceptance of applications.
turns out this function works just as well for that too
I think I'd have to reject it in review. The parameter is not used and should therefore be prepended with an underscore or literally be named "_" to signal such to a reader.
only 50% of the time
Is this the classic model?
No, that accepts far too many grants. You'd need to add weights=[1, 100] to it.