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TimSweeneyEpic's profile
Tim Sweeney
Tim Sweeney
Tim Sweeney
@TimSweeneyEpic

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Tim Sweeney

@TimSweeneyEpic

Epic Games founder & CEO

epicgames.com
Joined August 2013

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    1. Alex Nedelcu‏ @alexelcu 29 Aug 2018
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      Alex Nedelcu Retweeted Vanessa McHale

      TBH it’s the default laziness that I like about Haskell at the momenthttps://twitter.com/vamchale/status/1034550145847906305 …

      Alex Nedelcu added,

      Vanessa McHale @vamchale
      There are a lot of people who use Haskell because it's a real functional language with nice syntax and a native compiler. That's fine. But complaining about laziness as a default is incredibly annoying.
      1 reply 0 retweets 6 likes
    2. Sukant Hajra‏ @shajra 30 Aug 2018
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      Replying to @alexelcu

      Yeah, lazy languages give us a real-world fix-point operator whose nature is clear with just a glance. I'll admit to not having too strong a persuation, though. Often times I don't think of evaluation policy. If I'm living on the edge, I welcome suggestions.

      0 replies 0 retweets 0 likes
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    4. Sukant Hajra‏ @shajra 30 Aug 2018
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      Googling I found a slide deck, but that only had a passing comment towards the end. Is there a paper about this lenient policy? Also, I couldn't figure out what ld 90 is.

      1 reply 0 retweets 0 likes
    5. Tim Sweeney‏ @TimSweeneyEpic 30 Aug 2018
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      Replying to @shajra @alexelcu

      Lenient = wrap all computations in futures and evaluate asynchronously as inputs arise. Same evaluation order as eager in the case that no results are accessed before they’re produced.

      1 reply 0 retweets 3 likes
    6. Sukant Hajra‏ @shajra 30 Aug 2018
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      Replying to @TimSweeneyEpic @alexelcu

      Yeah, but now if I want a really tidy fix-point or to think in terms of infinite lists, I'm going to need or want escape blocks from the defaults. It's hard to put a pin in the "common case," so I'm glad that Haskell exists to prove how far non-eager evaluation can take us.

      1 reply 0 retweets 0 likes
      Tim Sweeney‏ @TimSweeneyEpic 30 Aug 2018
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      Replying to @shajra @alexelcu

      Lenient code looks exactly like lazy evaluation and behaves exactly the same as lazy would if all unevaluated thunks were kept around and eventually evaluated. The two interesting bits are - lenient evaluation integrates recursion and effects more cleanly than fixIO.

      3:50 PM - 30 Aug 2018
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      • فورت نايت عربي و إنجليزي
      2 replies 0 retweets 1 like
        1. Tim Sweeney‏ @TimSweeneyEpic 30 Aug 2018
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          Replying to @TimSweeneyEpic @shajra @alexelcu

          And for optimizing thinks/futures away, recursive dependency analysis is much more permissive than strictness analysis.

          0 replies 0 retweets 2 likes
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        1. Sukant Hajra‏ @shajra 30 Aug 2018
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          Replying to @TimSweeneyEpic @alexelcu

          I think I need to read more. It's possible I'm making the wrong constructs in my mind. What I'm getting stuck on is the idea that thunks are not always all evaluated, which seems to be something we take advantage of with laziness.

          0 replies 0 retweets 0 likes
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