Yo whatup

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Joined 1 year ago
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Cake day: September 28th, 2023

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  • Act works out pretty good but you need to pass it a token and stuff so the actual github CLI bits can work which is kind of a hassle. It took me much too long to discover you need a classic token, the one from the github CLI app gh auth token won’t work.

    Edit: Ah! Also getting act setup involved getting docker setup which involved me enabling virtualization in my bios for what I swear is like the 4th time I’ve done so. Also because I’m on Windows (iirc at least) I had to setup WSL or just make a windows container ಠ_ಠ






  • Eh? How’s that work. I’m not going to sit here and say there isn’t too many factories in Java but as a concept it’s extremely useful. You hand off a “factory” to something which actually creates the object. This is really useful in for example serialization. How so? You could register factories (mapped to some sort of ID) which get passed the serialized data and return some sort of created object. Now the core serialization code doesn’t know nor care how exactly any particular type gets serialized. Pretty nifty huh?

    Some languages have better ways to encapsulate this functionality but that’s what the factory concept is


  • No python is statically typed. You have type hints, which makes the language tolerable but like their name implies it’s a hint at the type. You can perfectly legally pass in something completely different that doesn’t conform whatsoever.

    The primary thing static languages provide is static typing, that being the ability to determine before runtime that all the types are valid. A good example of this is how C++ programs will refuse to compile if you try to invoke a method that doesn’t exist on the type. That’s because it’s statically typed. At compile time you know that the code is wrong. Dynamic languages fundamentally don’t work like that. You cannot know until runtime if the method you called or the field you are trying to touch exists or not. Again type hints help a lot with this but that doesn’t change how the language actually operates.




  • So the big important part of git is that it’s a collection of commits. A branch is just a labeled commit and each commit is a list of what changed from the parent. Rebasing (the most confusing one for people) is when you fiddle with a commit from underneath yourself. Or in even more simple terms editing a parent commit. Rebasing is extremely powerful but most useful for when you notice a bug you wrote a couple commits ago. Fixing such issues via rebase (or !fixup commits you auto squash at the end) keeps your history clean. It’s as though you never wrote the bug. The other thing you do a lot with rebasing is moving your branch up in the history cause somebody updated the remote.




  • Yup, libraries should usually let the consumer chose what to do with an error, not crash the program without a choice in the matter. The only real exception is performance critical low level code such as the core of a graphics or audio driver. Though in those cases crashing also often isn’t an option, you just power through and hope things aren’t too screwed up.





  • Smart pointers model ownership. Instead of (maybe) a comment telling you if you have to free/delete a returned pointer this information is encoded into the type itself. But that’s not all, this special type even handles the whole deleting part once it goes away.

    Since they model ownership you should only use them when ownership should be expressed. Namely something that returns a pointer to a newly allocated thing should be a std::unique_ptr because the Callie has ownership of that memory. If they want to share it (multiple ownership of the object) there’s a cheap conversion to std::shared_ptr.

    How about a function that takes in an object cause it wants to look at it? Well that doesn’t have anything to do with ownership so make it a raw pointer, or better yet a reference to avoid nullability.

    What about when you’ve got a member function that wants to return a pointer to some memory the object owns? You guessed it baby raw pointer (or again reference if it’ll never be null).


  • Um what? I didn’t like hide extra meaning in what I said. High quality code doesn’t imply all that extra shit you added. It’s code that’s easy to read and modify. Typically this just means you name stuff well and document things that aren’t obvious. Usually my docs explain why something exists since thinking it’s unnecessary cause you don’t remember what the original problem was a common occurrence before I started doing so.

    Is high quality code ran through a formatter? I’d hope so yeah. There should be a consistent code style across the entire project. Doesn’t matter what it it long as it’s consistent.

    100% code coverage is meaningless and as such a pointless metric. Also 100% coverage is explicitly tied to the implimentaion as all code paths have to be reached which is obviously not a good idea (tests have to change when the implimentaion changes as you’re testing the implimentaion not the api).

    Really a lot of this is just meaningless buzz words as an attempt at some sort of gotcha. Really don’t understand how you even interpreted a statement so simple in this way.