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I’ve found rust generally to be far more writing than all other languages I’ve used
Implementing Equality in Haskell:
deriving (Eq, Ord)After learning how easy it was to implement functional programming in Rust (it’s almost like the language requires it sometimes), I decided to go back and learn the one I had heard about the most.
It opened my mind. Rust takes so many cues from Haskell, I don’t even know where to begin. Strong typing, immutable primitives, derived types, Sum types. Iterating and iterables, closures, and pattern matching are big in Haskell.
I’m not saying Rust uses these because Graydon Hoare wanted a more C-like Haskell, but it is clear it took a lot of elements from the functional paradigm, and the implementations the designers were familiar with had descended through Haskell at some point.
Also, deriving is not the same as implementing. One is letting the compiler make an educated guess about what you want to compare, the other is telling it specifically what you want to compare. You’re making, coincidentally, a bad comparison.
The first iteration of the Rust compiler was written in OCaml…
Don’t need the
Ordinstance for equality, justEqis sufficient.Ordis for inequalities.The point of the post is that most mainstream languages don’t provide a way to automatically derive point-wise equality by value, even though it’s pervasively used everywhere. They instead need IDEs to generate the boilerplate rather than the compiler handling it.
On behalf of Java developers everywhere - thank you Project Lombok!
The problem with rust, I always find is that when you’re from the previous coding generation like myself. Where I grew up on 8 bit machines with basic and assembly language that you could actually use moving into OO languages… I find that with rust, I’m always trying to shove a round block in a square hole.
When I look at other projects done originally in rust, I think they’re using a different design paradigm.
Not to say, what I make doesn’t work and isn’t still fast and mostly efficient (mostly…). But one example is, because I’m used to working with references and shoving them in different storage. Everything ends up surrounded by Rc<xxx> or Rc<RefCell<xxx>> and accessed with blah.as_ptr().borrow().x etc.
Nothing wrong with that, but the code (to me at least) feels messy in comparison to say C# which is where I do most of my day job work these days. But since I see often that things are done very different in rust projects I see online, I feel like to really get on with the language I need a design paradigm shift somewhere.
I do still persist with rust because I think it’s way more portable than other languages. By that I mean it will make executable files for linux and windows with the same code that really only needs the standard libraries installed on the machine. So when I think of writing a project I want to work on multi platforms, I’m generally looking at rust first these days.
I just realised this is programmerhumor. Sorry, not a very funny comment. Unless you’re a rust developer and laughing at my plight of trying to make rust work for me.
I find these videos give a very visual explanation and help to put you into the right mindset: http://intorust.com/
(You can skip the first two videos.)Sort of when it clicked for me, was when I realized that your code needs to be a tree of function calls.
I mean, that’s what all code is anyways, with a main-function at the top calling other functions which call other functions. But OOP adds a layer to that, i.e. objects, and encourages to do all function calls between objects. You don’t want to do that in Rust. You kind of have to write simpler code for it to fall into place.To make it a bit more concrete:
You will have functions which hold ownership over some data, typically because they instantiated a struct. These sit at the root of a sub-tree, where you pass access to this data down into further functions by borrowing it to them.You don’t typically want to pass ownership all over the place, nor do you typically want to borrow (or pass references) to functions which are not part of this sub-tree.
Of course, there’s situations where this isn’t easily possible, e.g. when having two independent threads talking to each other, and then you do needRcorArc, but yeah, the vast majority of programming problems can be solved with trees of function calls.Sort of when it clicked for me, was when I realized that your code needs to be a tree of function calls.
I mean, that’s what all code is anyways, with a main-function at the top calling other functions which call other functions. But OOP adds a layer to that, i.e. objects, and encourages to do all function calls between objects. You don’t want to do that in Rust. You kind of have to write simpler code for it to fall into place.Yes, this ties in with what I’m saying though. You need a paradigm shift in your design philosophy, which is hard when you come from a Cx background.
I also think that in OO there shouldn’t be much cross contamination. It happens (and it happens a lot in my personal projects to be fair) but when well designed it shouldn’t need to be. In C# for example it should be the case that rather than a function owning a resource, a class should. So when using an object between classes you take it as a reference from a method in one class and pass it into a method to another class rather than call that class and make it a dependency of that class too. In this way you would have a one way dependency, rather than a two way.
This kind of thinking has moved into creating objects in rust. Also I think yes within a same class the idea of a function (that isn’t static) accepting an object that is part of the class that was returned by another function in the case class feels very wrong from a Cx style point of view. If we knew we were going to do that, we’d just make it a class level variable and use it in both functions.
Like I say, just another way of thinking and I’m not there yet.
Do you have some public code you could link to that you’re having this issue with? There isn’t a one-size-fits-all solution for Rc/RefCell, I think.
The current thing I’m working on (processor for iptv m3u files) isn’t public yet, it’s still in the very early stages. Some of the “learning to fly” rust projects I’ve done so far are here though:
https://git.nerfed.net/r00ty/bingo_rust (it’s a multi-threaded bingo game simulator, that I made because of the stand-up maths video on the subject).
https://git.nerfed.net/r00ty/spectrum_screen (this is a port of part of a general CPU emulation project I did in C#, it emulates the ZX spectrum screen, you can load in the 6912 byte screens and it will show it in a 2x scaled window).I think both of these are rather using Arc<RwLock<Thing>> because they both operate in a threaded environment. Bingo is wholly multi-threaded and the spectrum screen is meant to be used by a CPU emulator running in another thread. So not quite the same thing. But you can probably see a lot of jamming the wrong shape in the wrong hole in both of those.
The current project isn’t multi-threaded. So it has a lot of the Rc/Rc<RefCell> action instead.
EDIT: Just to give the reason for Rc<RefCell> in the current project. I’m reading in a M3U file and I’m going to be referencing it against an Excel file. So in the structure for the m3u file, I have two BtreeMaps, one for order by channel number and one by name. Each containing references to the same Channel object.
Likewise the same channel objects are stored in the structure for the Excel file that is read in (searched for in the m3u file structure).
BTreeMaps used because in different scenarios the contents will be output in either name order or channel order. So just better to put them in, in that order in the first place.
The bingo one actually uses crossbeam channels instead of mutexes, so that’s nice. I haven’t looked too closely at it though.
I don’t think you can do too much about the Spectrum one if you want to keep the two threads, but here’s what I would change related to thread synchronization. Lemmy doesn’t seem to allow me to attach patch files for whatever reason so have an archive instead… https://dblsaiko.net/pub/tmp/patches.tar.bz2 (I wrote a few notes in the commit messages)
Just to give the reason for Rc<RefCell> in the current project. I’m reading in a M3U file and I’m going to be referencing it against an Excel file. So in the structure for the m3u file, I have two BtreeMaps, one for order by channel number and one by name. Each containing references to the same Channel object.
So basically it’s channels indexed by channel number and name? That one is actually one of the easy cases. Store indices instead:
struct Channels { data: Vec<Channel>, by_number: BTreeMap<u32 /* or whatever */, usize>, by_name: BTreeMap<String, usize>, } // untested but I think it should compile fn get_channel_by_name(ch: &Channels, name: &str) -> Option<&Channel> { Some(&self.data[*ch.by_name.get(name)?]) }The bingo one actually uses crossbeam channels instead of mutexes, so that’s nice. I haven’t looked too closely at it though.
The C# original uses the equivalent of read/write locks. But I found it problematic to work the same way in rust and then discovered the communication option was far easier to implement and actually avoids holding up threads. So went with that. Much easier and much faster in execution I think.
I don’t think you can do too much about the Spectrum one if you want to keep the two threads, but here’s what I would change related to thread synchronization. Lemmy doesn’t seem to allow me to attach patch files for whatever reason so have an archive instead… dblsaiko.net/pub/tmp/patches.tar.bz2 (I wrote a few notes in the commit messages)
In reality I’m never likely to remake the CPU project in rust. Firstly because I’d need to entirely re-engineer it because it’s extensively using hierarchical classes, which just doesn’t work the same way in rust. And I’m not sure traits would allow me to do things in even close to the same way. But if it were to work with a CPU emulator they need to share the memory, and also the CPU needs its own thread.
So basically it’s channels indexed by channel number and name? That one is actually one of the easy cases. Store indices instead:
This was something I was thinking about the other evening. I needed to get the index to remove some other data anyway and wondered if I’d be better off having a master vector and usize lookups for that data store. It’s one extra lookup, but by index it’s the tiniest and the speed isn’t a real issue anyway. It’s replacing perl scripts pulling data from mysql. It couldn’t possibly run slower than that :P
Thanks for the commentary though and I think I’m going to make the changes to use indices to lookup data. I wanted to re-order the way things are done a bit anyway. The problem I see potentially is that the lookups probably need to be regenerated every time I delete something. But actually I think that since it is rebuilt from a file on load. Maybe I just remove the items from the lookups and leave them in the vector. Since next run they would be gone anyway.
Go is really good for std library, windows and Linux from same code and static binaries BTW.
Fun story from before Rust was getting popular (years ago). So, I did a performance comparison to determine what language we should write our rules engine in. I compared Go, Rust, Node, and some others not worth mentioning.
At the time, I had experience with all but Rust.
Even knowing nothing, and working from scratch, the Rust POC was significantly faster. Just way, way, better.
That being said, I still chose Go due to productivity based on the language knowledge of the team to ease the transition (Go was closer to what they knew already), and while it was good for them to learn Go, I look back on it and realize Rust would have been a great opportunity to invest in their careers and have them learn it instead.
A hindsight is 20/20 experience for me.
in which “other languages” is it so very hard?
In Python it’s really hard!
def __eq__(self, other): ...How do you even write those subscripted hyphens???
If you’ve got a complex and potentially nested object, what does the body of this simple function look like? That’s what they mean.
Swift:
: Equatable(assuming all the members of the struct are themselves equatable, if not the compiler will tell you to implement the
==method)I’d argue that the reason this is so bad in other languages is because of horrible default implementations. Look at tostring in java, getting a somewhat printable object would be easy if the default implementation would use reflection or sth to print the object, but instead it prints hash gibberish no one cares about.
I always hated the implementation for
.toString()ofDuration. It gives you a string like that:PT8H6M12.345S(not a hash)Apparently, it’s an ISO 8601 thing, but what the hell am I supposed to do with that?
It’s not useful for outputting to end users (which is fair enough), but I don’t even want to write that into a log message.
I got so used to this just being garbage that I would automatically call.toMillis()and write “ms” after it.Well, and not to gush about Rust too much, but I recently learned that its debug string representation is actually really good. As in, it’s better than my Java workaround, because it’ll even do things like printing 1000ms as 1s.
And that’s just like, oh right, libraries can actually provide a better implementation than what I’ll slap down offhandedly.
I do appreciate how newer C++ standards have made these kinds of things a lot easier too.
Define all comparison operators with just one one line using C++20
auto operator<=>(const ClassName&) const = default;It’s nice that this exists these days, but my god is it horrendously unreadable at a glance
It makes it look like they’re just adding random noise to avoid colliding with existing syntax. Maybe they can try a UUID next time…
It makes perfect sense actually. I did write another comment here if you are interested.
This is how operator overloads were written going back to the initial version of C++ back in 1985. The only new thing is that we can now add
= defaultto get the compiler to generate a default implementation that compares all the member variables for you.
That is completely incomprehensible lol
Maybe to a non C++ dev, but a lot of C++ is probably incomprehensible to a non C++ dev, just like there are other laguages that are incomprehensible to C++ devs. To me it makes perfect sense as it works just like all the other operator overloads.
auto- let the compiler deduce return typeoperator<=>- override the spaceship operator (pretty sure it exists in python too)(const ClassName&)- compare this class, presumably defined in Class name, with a const reference of type Class name, i.e. its own type.const- comparison can be made for const objects= default;- Use the default implementation, which is comparing all the member variables.An alternate more explicit version, which is actually what people recommend:
auto operator<=>(const ClassName&, const ClassName&) = default;if I just want to have less than comparison for example I would:
This one makes it explicit that you’re comparing two Class name objects.
if I just want to have less than comparison for example I would:
auto operator<(const ClassName&, const ClassName&) = default;If I need to compare against another class I could define:
auto operator<(const ClassName&, const OtherClass&)You just need to break the syntax apart and look at it from the LHS and the RHS seperately.
In layman’s terms: constantine felt boxed in by his social class which left him often at dagger-ends to the operations on his car. Unable to keep up with the constant payments, he defaulted on the loan.
See? Easy.
Is there a way to avoid having to write copy and move twice every time yet?
You mean copy/move constructor and assignment operator?
Unless you have any special handling the ones generated by the compiler automatically should work just fine. But if you do have to define them for some reason (which is becoming increasingly rare) you would need to define both if you need both copy/move construction and copy/move assignment.
Whoa nice, I need to keep this in mind.
BuT ItS uNsAfE.
Only if you’re a bad programmer :/
This argument just doesn’t hold up. Software written by some of the best developers in the world still has these same bugs.
Why even use a language where you have to put so much effort into something that comes for free in many modern languages.
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Now explain PartialEq, and why it’s mandatory.
NaN != NaN
In Go “==” operator works for everything by default, I like it more:
type A struct { Name string Quality int } func main() { var x A var y A fmt.Printf("%v", x == y) }(if all you want is to compare all corresponding fields which you usually want)
Yeah, I came to Rust from Scala and Kotlin, where equality is default-implemented (for
case classanddata classrespectively, which is basically all we ever used), so this meme surprised me a bit.I do actually like that you can decide a type cannot be compared, because sometimes it really just doesn’t make sense. How would you compare two HTTP clients, for example? But yeah, it certainly is a choice one can disagree with.
Is that because it’s that simple, or just that the boilerplate is pre-written in the standard library (or whatever it’s called in rust)?
It’s because people put in the hard work of writing amazing macros instead of baking code reuse into the type system itself 😁 I’m a rust noob and I love the derive macro.
So it’s actually a secret third option! That’s pretty rad.
Yes, it is that simple. In Rust if you have a structure
Personand you want to allow testing equality between instances, you just add that bit of code before the struct definition as follows:#[derive(PartialEq, Eq)] struct Person { name: String, age: u32, }In Rust,
PartialEqandEqare traits, which are similar to interfaces in Java. Manually implementing thePartialEqtrait in this example would be writing code that returns something likea.name == b.name && a.age == b.age. This is pretty simple but with large data structures it can be a lot of boilerplate.There also exist other traits such as
Cloneto allow creating a copy of an instance,Debugfor getting a string representation of an object, andPartialOrdandOrdfor providing an ordering. Each of these traits can be automatically implemented for a struct by adding#[derive(PartialEq, Eq, Clone, Debug, PartialOrd, Ord)]before it.Derive macros are a godsend. There’s macros to automatically implement serialization as well. Basically a Trait that can automatically be implemented when derived
i’ve only read about rust, but is there a way to influence those automatic implementations?
equality for example could be that somethings literally point to the same thing in memory, or it could be that two structs have only values that are equal to each other
Equality in rust is value equality per default, that’s what these traits are for. If you want to check pointer equality you’d use the
std::ptr::eqfunction to check if two pointers are equal, which is rather rare in practice. You can also implement thePartialEqtrait yourself if you need custom equality checks.I worked on software at one point that had at it’s core a number of “modes” that it switched between. It was, at the time, in the process of migrating from enums and switch/case trees to an inheritance based system.
In practice this meant there was a single instance of “Mode” for each mode which used pointer equality to switch/case on modes like an enum.
To add a new mode (that did nothing) I think I had to change about 6 different places.
Not really related to the pointer thing, but Rust also has pattern matching based on Enums, as they’re actually sum-types and not just numbers
Not for the built-in Eq derive macro. But you can write your own derive macros that do allow you to take options, yeah.
Haskell:
deriving EqAhh, the comment I was looking for
I would have also accepted: “Haskell did it first.”
OCaml has ppx_deriving. PureScript has
derive instance.Newer Scala follows rhe same when enabling strict equaility. It’s a goos thing.
But then you realise that the types of 10 constituent fields don’t implement Eq, PartialEq…
In Clojure equality checks are done by value as the default, and all the data is represented using a set of common data structures.
