[Agda] [Coq-Club] Why dependent type theory?
Ulf Norell
ulf.norell at gmail.com
Wed Mar 4 17:52:59 CET 2020
On Wed, Mar 4, 2020 at 5:33 PM <mechvel at scico.botik.ru> wrote:
>
> It looks like this.
> Following this paper, we can define a direct product of rings, denote it
> _*_,
> and put
> G = Z * Z * Z * Z * Z * Z * Z * Z (I)
>
> for the ring Z for Integer.
> And it may occur that this will be a hard type checking example for
> Agda.
>
This will certainly not be a hard type checking problem for Agda. Depending
on how
you define _*_ and Z computing with G can of course blow up.
/ Ulf
> On 04.03.20 00:04, Jason Gross wrote:
> >> I'm confused by this. Are you saying that in Agda typechecking is
> >> exponential
> >> in the number of files? Or exponential in the number of nested
> >> abstractions?
> >> Or something else? Do you have a toy example demonstrating this
> >> behavior?
> >>
> >> On Tue, Mar 3, 2020, 17:42 <mechvel at scico.botik.ru
> >> <mailto:mechvel at scico.botik.ru>> wrote:
> >>
> >> On 2020-03-04 00:31, Jason Gross wrote:
> >> >> Which bottlenecks are you referring to? Are they intrinsically
> >> tied
> >> > to dependent types, or they are related to the treatment of
> >> > propositions and equality in systems such as Coq?
> >> >
> >> > The main bottleneck that I'm referring to here (though not the
> >> only
> >> > one of my thesis) is the one that is due to the fact that
> >> arbitrary
> >> > conversion problems can happen during typechecking. This is
> >> used to
> >> > great advantage in proof by reflection (where all of the work is
> >> done
> >> > in checking that a proof of "true = true" has the type
> >> "some-check =
> >> > true"). But it also causes performance issues if you're not
> >> careful.
> >> > To take a toy example, consider two different definitions of
> >> > factorial: n! = n * (n - 1)!, and n! = (n - 1)! * n. Suppose
> >> you have
> >> > two different ways of computing a vector (length-indexed list)
> >> of
> >> > permutations, one which defines the length in terms of the first
> >> > factorial, and the other one which defines the length in terms
> >> of the
> >> > second factorial. Suppose you now try to prove that the two
> >> methods
> >> > give the same result on any concrete list of length of length
> >> 10.
> >> > Just to check that this goal is valid, Coq is now trying to
> >> compute
> >> > 10! as a natural number. This example is a bit contrived, but
> >> less
> >> > egregious versions of this issue abound, and when doing verified
> >> > engineering at scale, these issues can add up in hard-to-predict
> >> ways.
> >> > I have a real-world example where changing the input size just
> >> a
> >> > little bit caused `reflexivity` to take over 400 hours, rather
> >> than
> >> > just a couple of minutes.
> >> >
> >> > On Tue, Mar 3, 2020, 16:00 Viktor Kunčak <vkuncak at gmail.com
> >> <mailto:vkuncak at gmail.com>> wrote:
> >> >
> >> >> I would be also curious to hear answers to this questions!
> >> >> ("Lots of people do it" seems like a very compelling answer.)
> >> >>
> >> >> Which bottlenecks are you referring to? Are they intrinsically
> >> tied
> >> >> to dependent types, or they are related to the treatment of
> >> >> propositions and equality in systems such as Coq?
> >> >>
> >>
> >> There is a problem of the type checking cost in Agda, and probably
> >> in
> >> Coq too.
> >> I do not know of whether it is fundamental or technical. And I
> >> have not
> >> seen an answer to this question, so far. On practice, it looks
> >> like
> >> this:
> >> Agda can type-check only a small part of the computer algebra
> >> library of
> >> methods (with full proofs). With implementing it further, with
> >> increasing the hierarchy level of parameterized modules, the type
> >> check cost seems to grow exponentially in the level.
> >> So, after implementing in Agda an average textbook on computer
> >> algebra
> >> (where is known a constructive proof for each statement), say, of
> >> 500
> >> pages, it will not be type-checked in 100 years.
> >>
> >> Probably, this is a difficult technical problem that will be
> >> practically
> >> solved during several years.
> >>
> >> Regards,
> >>
> >> -----
> >> Sergei
> >>
> >>
> >>
> >> >> There are type systems overlayed on top of initially untyped
> >> >> languages (e.g. the language of Alloy Analyzer) and there are
> >> >> gradual types and designs like TypeScript for to initially
> >> untyped
> >> >> programming languages. ACL2 theorem prover for pure LISP, SPASS
> >> >> theorem prover for first-order logic, and "TLA+ model checking
> >> made
> >> >> symbolic" model checker for TLA+ all include techniques to
> >> recover
> >> >> types from an initially untyped language.
> >> >>
> >> >> Best regards,
> >> >>
> >> >> Viktor
> >> >>
> >> >> On Tue, Mar 3, 2020 at 8:44 PM Jason Gross
> >> <jasongross9 at gmail.com
> >> <mailto:jasongross9 at gmail.com>>
> >> >> wrote:
> >> >>
> >> >>> I'm in the process of writing my thesis on proof assistant
> >> >>> performance bottlenecks (with a focus on Coq), and there's a
> >> large
> >> >>> class of performance bottlenecks that come from (mis)using the
> >> >>> power of dependent types. So in writing the introduction, I
> >> want
> >> >>> to provide some justification for the design decision of using
> >> >>> dependent types, rather than, say, set theory or classical
> >> logic
> >> >>> (as in, e.g., Isabelle/HOL). And the only reasons I can come
> >> up
> >> >>> with are "it's fun" and "lots of people do it"
> >> >>>
> >> >>> So I'm asking these mailing lists: why do we base proof
> >> assistants
> >> >>> on dependent type theory? What are the trade-offs involved?
> >> >>> I'm interested both in explanations and arguments given on
> >> list,
> >> >>> as well as in references to papers that discuss these sorts of
> >> >>> choices.
> >> >>>
> >> >>> Thanks,
> >> >>> Jason
> >> > _______________________________________________
> >> > Agda mailing list
> >> > Agda at lists.chalmers.se <mailto:Agda at lists.chalmers.se>
> >> > https://lists.chalmers.se/mailman/listinfo/agda
> >>
>
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