Programmer, graduate student, and gamer. I’m also learning French and love any opportunity to practice :)

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Cake day: June 1st, 2023

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  • You have to be explicit about which module you’re using at all times, even though 99% of the time only one could apply. When the type class resolution is unique, but complicated, there’s no mental overhead for the Haskell programmer but getting all the right modules is a lot of overhead for the OCaml programmer. It also lets us write functions that are polymorphic under a class constraint. In OCaml you have to explicitly take a module argument to do this. If you want to start composing such functions, it gets tedious extremely fast.

    And then even once you’re using a module, you can’t overload a function name. See: + vs +.. Basically modules and type classes solve different problems. You can do some things with modules that you cannot ergonomically do with type classes, for example. create a bit-set representation of sets of integers, and a balanced search tree for sets of other types, and expose that interface uniformly from the same module functor. But Haskell has other ways to achieve that same functionality and more.

    OCaml’s type system cannot replicate the things you can do with Haskell’s higher kinded types, type families, or data kinds at all (except for a fraction of Haskell’s GADTs).


  • Largely reasonable?

    Haskell is not good for systems programming which sums up about 60-70% of that post. Laziness is lovely in theory but many industry uses of Haskell use stricthaskell for all or most of their code, so I certainly agree with that part too.

    Their largest complaint about using Haskell for small non-systems programs seems to be the mental overhead induced by laziness. But for me, for small programs where performance isn’t a huge concern (think Advent of code or a script for daily life) laziness reduces my mental overhead. I think that author is just especially concerned about having a deep understanding of their programs’ performance because of their systems background. I worry about performance when it becomes relevant. Debugging Haskell performance issues is certainly harder than strict languages but still totally doable.

    The lack of type classes or other form of ergonomic overloading in OCaml is easily the single “feature” most responsible for the language never taking off.






  • AbelianGrape@beehaw.orgtoProgramming@programming.devCode Smells Catalog
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    2 months ago

    “Monadic type” has something like three meanings depending on context, and it’s not clear which one you mean. One of them is common in math, but not so common in programming, so probably not that. But neither “parametric types with a single argument” nor “types that encode a category-theoretic monad” have the property you say, as far as I know.

    I imagine you’re probably referring to the latter, since the optional monad exists. That’s very different from returning null. The inhabitants of Integer in Java, for example, are the boxed machine ints and null. The inhabitants of Optional[Integer] (it won’t let me use angle brackets here) are Optional.of(i) for each machine int i, Optional.empty(), and null.

    Optional.empty() is not null and should not be called a “Null object.” It’s also not of type Integer, so you’re not even allowed to return it unless the function type explicitly says so. Writing such function types is pretty uncommon to do in java programs but it’s more normal in kotlin. In languages like Haskell, which don’t have null at all, this is idiomatic.



  • I’ve only ever seen “one-time” in cryptography to refer to One-Time Pads (OTP). They are literally uncrackable (because every possible plaintext could be encoded by every possible ciphertext) but they achieve that by using a shared private key. The cipher becomes attackable if the key is re-used, hence the “one-time.”

    But that key has to be exchanged somehow, and that exchange can be attacked instead. Key exchange algorithms can’t necessarily transfer every possible OTP which means eavesdropping on the exchange would make an OTP attackable. So the best option we know of that doesn’t require secret meetings to share OTPs* really is to use RSA encryption.

    * and let’s be honest, secret meetings can be eavesdropped on as well.





  • I find there’s a lot less variety in my monster train runs. Most classes have a distinctly best strategy and the artifacts generally also funnel you towards that strategy. For example, I can’t remember the last time I played an Umbra run that didn’t set up a morsel engine behind a warden or alloyed construct - as far as I’m concerned, those are the same strategy, it doesn’t feel different. The only other build I think is viable is just “play Shadowsiege,” which rarely happens early enough to build for it.

    Every class in STS has at least three viable archetypes and almost every run within those archetypes still feels different to me.


  • I almost exclusively play for A20 heart kills. I play all 4 classes but in a “whichever I feel like today” way. I tried rotating between the characters for a while and really didn’t enjoy playing silent or watcher while in the wrong mood for those classes.

    My favorite deck in recent memory was probably a silent discard combo with Grand Finale as the only damage-dealing card in the deck. My favorite archetype in general is probably ice defect. A good all-you-can-eat ironclad run is great too.

    I don’t think I agree that STS is especially well balanced - some regular hallway combats do irrationally more damage on average even to players much better than me (for example, floor one jaw worms or any act 3 darklings). In general, the game could be quite a bit harder on A20 and still be fun for players who want a challenge. It’s also weird to me that A1 makes the game easier compared to A0. Between the classes, there is a class which is clearly stronger than the others. However I also don’t think this is a bad thing. Imbalances create more opportunities for new experiences, and for different kinds of players to have different kinds of fun. And that certainly agrees with “infinite replayability.” I’m sure in 5 years’ time I will still be seeing interactions I’ve never seen before.





  • I’m a computer scientist mainly but with a heavy focus/interest in computer architecture. My plan is to teach at a university at this point - but it seems to me like that would be a good place to create completely open standards technology from.^1Specifically because if the point isn’t to make money, there’s no reason to create walled gardens.

    There’s certainly enough interest from people who want to be able to build their own systems. What would actually worry me isn’t the ability to make a new open standard or any of that. It’s that AMD64 is very hard to compete with in this space, because the processors are just faster, and there is so much x86 software that people who build PCs usually want access to.

    AMD64’s performance is the result of years and years of optimizations and patenting new hardware techniques, followed by aggressively litigating people trying to compete. ARM performance is catching up but ARM prefers licensing their core IP over making their own systems, making it harder for them to break into the PC space even if they want to.

    A new player would be in for a long, long time of unprofitable work just to compete with AMD64 - which most people are still happy with anyway.

    ^1 some others and I are actually working on some new ISA / open soft processors for it. However it is focused at an educational setting and unlikely to ever be used outside of embedded devices at most.


  • Neither spectre nor meltdown are specific to Intel. They may have been discovered on Intel hardware but the same attacks work against any system with branch prediction or load speculation. The security flaw is inherent to those techniques. We can mitigate them with better address space separation and address layout randomization. That is, we can prevent one process from reading another process’s data (which was possible with the original attacks), but we can’t guarantee a way to prevent malicious browser tab from reading data from a different tab (for example), even if they are both sandboxed. We also have some pretty cool ways to detect it using on-chip neural networks, which is a very fancy mitigation. Once it’s detected, a countermeasure can start screwing with the side channel to prevent leakage at a temporary performance cost.

    Also, disabling hyper threading won’t cut your performance in half. If the programs that are running can keep the processor backend saturated, it wouldn’t make any noticeable difference. Most programs can only maintain about 70-80% saturation, and hyper threading fills in the gaps. However the result is that intensive, inherently parallelizable programs are actually penalized by hyper threading, which is why you occasionally see advice to disable it from people who are trying to squeeze performance out of gaming systems. For someone maintaining a server with critically sensitive data, that was probably good advice. For your home PC, which is low risk… you’re probably not worried about exposure in the first place. If you have a Linux computer you can probably even disable the default mitigations if you wanted.