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Cake day: December 31st, 2023

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  • I don’t think the distinction between “arbitrarily large” memory and “infinitely large” memory here matters

    Also, Turing Completeness is measuring the “class” of problems a computer can solve (eg, the Halting Problem)

    I conjecture that whatever the brain is doing to achieve consciousness is a fundamentally different operation, one that a Turing Complete machine cannot perform, mathematically


    Also also, quantum computers (at least as i understand them, which is, not very well) are still Turing Complete. They just use analog properties of quantum wave functions as computational components









  • I did this once

    I was generating a large fake dataset that had to make sense in certain ways. I created a neat thing in C# where you could index a hashmap by the type of model it stored, and it would give you the collection storing that data.

    This made obtaining resources for generation trivial

    However, it made figuring out the order i needed to generate things an effing nightmare

    Of note, a lot of these resource “Pools” depended on other resource Pools, and often times, adding a new Pool dependency to a generator meant more time fiddling with the Pool standup code


    • if something feels too “heavy”, like it’s doing xml formatting, file manips, a db insert, and making coffee, all in a single class or function

    Separate out those “concerns”, into their own object/interface, and pass them into the class / function at invocation (Dependency Injection)

    • use “if guards” and early returns to bail from a function, instead of wrapping the func body with an if
    
    public Value? Func(String arg) {
      if (arg.IsEmpty()) {
        return null;
      }
      
      if (this.Bar == null) {
        return null;
      }
    
      // ...
      return new Value();
    
    
      /// instead of
    
      if (!arg.IsEmpty) {
        if (this.Bar != null) {
          // ...
          return new Value();
        }
      }
    return null;
    }
    

    • if it’s not in git / SVC, add it as is. Create a “refactor” branch, and liberally use commits

    • Treat it like a decompilation

    Figure out what something does, and rename it (with a stupidly verbose name, if you have to). Use the IDE refactor tools to rename all instances of that identifier

    • Take a function, figure out what it does, and refactor it in a way that makes sense to you

    • Use the editor’s diff mode to compare duplicate code, extract out anything different into a variable or callback, and combine the code into a function call. Vscode’s “select for compare” and “compare with selected” are useful for this

    • Track what you’re doing / keep notes in something like Obsidian. You can use [[Wikilinks]] syntax to link between notes, which lets you build a graph structure using your notes as nodes

    • be cognizant of “Side Effects”

    For example, a function or property, or class might be invoked using Reflection, via a string literal (or even worse, a constructed string). And renaming it can cause a reflective invocation somewhere else random to fail

    Or function or operator overloading/overiding doing something bizarre

    Or two tightly coupled objects that mutate each other, and expect certain unstated invariants to be held (like, foo() can only be called once, or thingyA.len() must equal thingyB.len()

    • write tests if you can, either using a testing framework or custom Python scripts

    You can use these to more thoroughly compare behavior between the original and a refactor