Really responsible devs write the unit tests first, because you should know what you’re going to put in and what you’ll get out before you start writing anything.
I’ve obviously heard the general concept, but this is actually pretty helpful, now that I’m thinking about it a bit more.
I’ve written pretty mathy stuff for the most part, and a function might return an appropriately sized vector containing what looks like the right numbers to the naked eye, but which is actually wrong in some high-dimensional way. Since I haven’t even thought of whatever way it’s gone wrong, I can’t very well test for it. I suppose what I could do is come up with a few properties the correct result should have, unrelated to the actual use of it, and then test them and hope one fails. It might take a lot of extra time, but maybe it’s worth it.
How do you deal with side effects, if what you’re doing involves them?
For your vector issue, I’d go the route of some static examples if possible. Do you have a way to manually work out the answer that your code is trying to achieve?
For side effects, that may indicate what I referred to as tightly coupled code. Could you give an example of what you mean by “side effect”?
For your vector issue, I’d go the route of some static examples if possible. Do you have a way to manually work out the answer that your code is trying to achieve?
Not necessarily. In this scenario I’d imagine it’s a series of numbers as opposed to something more human-friendly exactly because there’s internal complexity that’s important but hard to manually survey, let alone generate. If you’ve worked with GANs at all, maybe it’s a point in a latent space.
For side effects, that may indicate what I referred to as tightly coupled code. Could you give an example of what you mean by “side effect”?
I mean it in the standard functional language way, if you’re familiar. There’s an operation that happens at some step of an algorithm, and it changes a data structure which is referred to or updated at another step. Sometimes you can’t really avoid it, because the problem itself has an interconnection like that.
A sorting algorithm example, if that doesn't make this too complicated.
Concurrency it’s pretty much guaranteed to do it, so let’s say we’re trying to implement some sort of bespoke sorting algorithm, where each compare is large and complex enough we have bugs, and which runs in multiple threads.
If threads are interfering with each other in this program, how do you test for that? The whole thing won’t give expected results, obviously, but another unsorted array or a failure to terminate doesn’t tell you much. Each compare and each swap might look correct at first, and give properly typed results. Let’s assume that each thread might traverse to anywhere in the array, so you can’t just check when they’re overlapping.
First off, thanks for the help!
I’ve obviously heard the general concept, but this is actually pretty helpful, now that I’m thinking about it a bit more.
I’ve written pretty mathy stuff for the most part, and a function might return an appropriately sized vector containing what looks like the right numbers to the naked eye, but which is actually wrong in some high-dimensional way. Since I haven’t even thought of whatever way it’s gone wrong, I can’t very well test for it. I suppose what I could do is come up with a few properties the correct result should have, unrelated to the actual use of it, and then test them and hope one fails. It might take a lot of extra time, but maybe it’s worth it.
How do you deal with side effects, if what you’re doing involves them?
For your vector issue, I’d go the route of some static examples if possible. Do you have a way to manually work out the answer that your code is trying to achieve?
For side effects, that may indicate what I referred to as tightly coupled code. Could you give an example of what you mean by “side effect”?
Not necessarily. In this scenario I’d imagine it’s a series of numbers as opposed to something more human-friendly exactly because there’s internal complexity that’s important but hard to manually survey, let alone generate. If you’ve worked with GANs at all, maybe it’s a point in a latent space.
I mean it in the standard functional language way, if you’re familiar. There’s an operation that happens at some step of an algorithm, and it changes a data structure which is referred to or updated at another step. Sometimes you can’t really avoid it, because the problem itself has an interconnection like that.
A sorting algorithm example, if that doesn't make this too complicated.
Concurrency it’s pretty much guaranteed to do it, so let’s say we’re trying to implement some sort of bespoke sorting algorithm, where each compare is large and complex enough we have bugs, and which runs in multiple threads.
If threads are interfering with each other in this program, how do you test for that? The whole thing won’t give expected results, obviously, but another unsorted array or a failure to terminate doesn’t tell you much. Each compare and each swap might look correct at first, and give properly typed results. Let’s assume that each thread might traverse to anywhere in the array, so you can’t just check when they’re overlapping.