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Logs: freenode/#haskell

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2020-11-25 20:22:49 ← pokid parts (~pokid@unaffiliated/pokid) ()
2020-11-25 20:22:59 <merijn> koz_: 3. generalize functionality so that name is now overly specific >.>
2020-11-25 20:23:06 <koz_> merijn: Rofl this.
2020-11-25 20:23:12 → Deide joins (~Deide@217.155.19.23)
2020-11-25 20:23:25 <koz_> Because if you don't have five type variables and ten constraints, what are you even doing?
2020-11-25 20:23:36 <koz_> (four of which must be higher-order)
2020-11-25 20:23:39 → LKoen joins (~LKoen@169.244.88.92.rev.sfr.net)
2020-11-25 20:23:55 <merijn> koz_: Oh, more like "I named it broadcast-chan and now it's unclear that there's a bunch of super useful parallelisation things in there" :p
2020-11-25 20:24:25 <koz_> merijn: I _cannot_ read '-chan' without imagining animu schoolgirls.
2020-11-25 20:25:18 × kelsey quits (~keteskyl@2600:6c64:7b7f:fa42:e18f:e78b:7854:f771) (Client Quit)
2020-11-25 20:25:36 <monochrom> And the following is true of both complex analysis and lumber work: To take logs, you must cut branches.
2020-11-25 20:25:41 → kelsey joins (~keteskyl@2600:6c64:7b7f:fa42:e18f:e78b:7854:f771)
2020-11-25 20:25:49 <tomjaguarpaw> Or "I named it product-profunctors and now I realise that sum profunctors are useful too"
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2020-11-25 20:26:01 → kuribas joins (~user@ptr-25vy0iacghmhtu8v1sd.18120a2.ip6.access.telenet.be)
2020-11-25 20:26:41 <merijn> tbh, broadcast-chan-conduit is some of the most massively useful code I've written and now it's under a cryptic name like that :p
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2020-11-25 20:27:06 <tomjaguarpaw> What does it do?
2020-11-25 20:27:08 <koz_> merijn: Needs more wordplay.
2020-11-25 20:27:15 <koz_> Quick, summon monochrom!
2020-11-25 20:27:32 → gproto023 joins (~gproto23@unaffiliated/gproto23)
2020-11-25 20:28:03 <merijn> tomjaguarpaw: Suppose you have a stream of items you wanna map an IO function over. You use Conduit.mapM. Except your IO is slow and blocking (like an HTTP request), why not parallelise that part of your conduit pipeline!
2020-11-25 20:28:52 <tomjaguarpaw> Ah cool
2020-11-25 20:29:10 <tomjaguarpaw> So you have a queue of items in progress whilst you wait for the first to finish?
2020-11-25 20:29:59 × gproto23 quits (~gproto23@unaffiliated/gproto23) (Ping timeout: 256 seconds)
2020-11-25 20:30:06 <merijn> tomjaguarpaw: You can have N parallel running copies of you "a -> IO b" (or really anything MonadUnliftIO) and just process them in whatever order they finish
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2020-11-25 21:02:38 <dminuoso> merijn: Why not just mapM with forkIO?
2020-11-25 21:02:49 <dminuoso> Oh wait
2020-11-25 21:02:55 <dminuoso> This feeds the results back into the conduit?
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2020-11-25 21:04:01 → Varis joins (~Tadas@unaffiliated/varis)
2020-11-25 21:05:02 <merijn> dminuoso: Yes
2020-11-25 21:05:12 → f-a joins (~f-a@151.38.94.168)
2020-11-25 21:05:17 <merijn> dminuoso: Also it handles retrying on exception or other exception mechanisms
2020-11-25 21:05:31 → conal joins (~conal@64.71.133.70)
2020-11-25 21:05:33 <merijn> dminuoso: Also the parallelism is bounded, unlike mapConcurrently
2020-11-25 21:05:50 <merijn> Which is important, if you're gonna, say, push a few million entries through :)
2020-11-25 21:06:25 <merijn> dminuoso: Also, the complexity of handling multiple parallel forkIOs is insane
2020-11-25 21:06:45 ← f-a parts (~f-a@151.38.94.168) ()
2020-11-25 21:06:49 <merijn> dminuoso: Because I implemented it like that in like 3 different projects and figured I might as well do it properly *once* and be done with it
2020-11-25 21:07:14 <merijn> Because Async doesn't quite fit my wants/needs
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2020-11-25 21:10:04 <merijn> dminuoso: That's also why I made sure to keep the dependency footprint superlow (3 transitive dependencies: base, transformers, and unliftio-core), so I can easily slap it in/on things :p
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