On 17 Jun 2018, at 11:28, Oliver Charles <ollie@ocharles.org.uk> wrote:Is SmallCheck more principled in this regard, or would people consider that equally hacky?_______________________________________________On Sun, 17 Jun 2018, 10:18 am Petr Pudlák, <petr.mvd@gmail.com> wrote:PS: Just to make clear, it's not that I have something against QuickCheck or similar libraries, on the contrary, they're great! I'm just playing the devil's advocate to analyze and understand the concept.ne 17. 6. 2018 v 4:05 odesílatel Oleg Grenrus <oleg.grenrus@iki.fi> napsal:_______________________________________________Not only avoid extremely large trees, but in general guarantee termination of the generation process
Sent from my iPhonedata Foo a = Leaf a | Node [Foo a]Without the size parameter, it's a bit tricky to control the distribution to avoid generating extremely large trees. I certainly agree, however, that the size parameter is an ugly and ill-specified hack.On Thu, Jun 14, 2018, 4:20 PM Petr Pudlák <petr.mvd@gmail.com> wrote:Hi everyone,_______________________________________________I'd like to better understand the principles behind the 'size' parameter. Looking at quickCheckWithResult [1], its computation seems to be somewhat non-trivial, or even arbitrary. As far as I understand it, the size is varied throughout tests, increasing from small to larger values. I see two main purposes:- Test on smaller as well as larger values. But with generators having proper distribution of values, this should happen anyway, just as if we had a constant, larger 'size' parameter.- Starting with smaller sizes allows to find smaller count-examples first. But with shrinking, it doesn't matter that much, big counter-examples are shrunk to smaller ones anyway in most cases.So is this parameter actually necessary? Would anything change considerably if it was dropped?Thanks,Petr
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