[9rx]

> Doesn't make any difference in practice meaning you never had a runtime error while running go?

I am not sure I have written enough Go to comment there, but I have worked extensively in other languages where runtime errors are possible, similar to Go in that regard. I have encountered runtime errors in said tests now and then, sure, but then you know about it and deal with it... So, in practice, no different than if the compiler told you that there is a possible runtime error.

> Who says you need a complex type system?

It is needed if you want to avoid the need for said tests. With a complete type system the type system can become your test suite, so to speak. But the languages people normally use, even those with "advanced" type systems, are nowhere near expressive enough for that. Meaning that you have to write the tests anyway. And then you'll know if there are any runtime errors as soon as you run your tests because how could the tests run without encountering the runtime error too? It is not like a CPU magically changes how it works if it detects that a test is being run. So, in practice, the type system doesn't change the outcome. But it is a cool party trick. I'll give you that.

That said, aside from these hand-wavy, make-believe stories, you are still very right that Go would benefit from sum types. For the reason that they map to the human model of the world very well, succinctly communicating structures that are often needed to be expressed. Languages are decidedly for humans. You can sort of work in the same basic idea in Go using interfaces, but it is far more confusing to read and understand than sum types would be. For a language that claims to value readability...

[ninetyninenine]

> So, in practice, no different than if the compiler told you that there is a possible runtime error.

If your program has runtime errors then that means you can deploy it to production and catch your errors in production.

If your compiler catches all possible runtime errors and refuses to compile. Then you will have no runtime errors in production guaranteed by proof. The program cannot even exist with runtime errors. It can only exist with no runtime errors.

So no difference catching errors in production vs. compile time? I beg to differ. Big fucking difference imho.

> It is needed if you want to avoid the need for said tests.

I’m referring to the fact that you don’t need a complex type system to design a language that will absolutely never have any runtime errors. You’re going off on a tangent here about how you need a type system to have less tests which is completely different from what I’m talking about. This entire paragraph you wrote here is like you’re responding to an irrelevant topic.

> I am not sure I have written enough Go to comment there

Honestly it seems that you haven’t just not written enough go. But basically any programming language . It seems that you’re not clear about runtime errors and you seem to have only encountered these types of errors during tests. So yes you don’t have much experience imho and rob pike deliberately targeted the language towards people like you.

[9rx]

> If your program has runtime errors then that means you can deploy it to production and catch your errors in production.

That questions: Why are you allowing your programs to be deployed when tests are failing? This is not a realistic scenario in the real world. Yes, you can invent contrived hypotheticals all day long, but it is meaningless. We've been clear that we are referring to practical settings.

But, but, what if there is a bug in your compiler that sees the runtime error slip through??? Who gives a shit? In some imaged world it may be possible, but it is not realistic. Not worth talking about.

> I’m referring to the fact that you don’t need a complex type system to design a language that will absolutely never have any runtime errors. You’re going off on a tangent here

What you are referring to is clear, but it cannot be considered in a vacuum. The alternative is to see the program keep trodding along, but do the wrong thing. In that case who cares if the program crashes instead? You're getting incorrect behaviour either way.

What you actually need is assurances that the program won't do the wrong thing top to bottom. That requires either a complete type system or, more realistically in the real world, testing. If you go the testing route, you'll know about any runtime errors when you run your tests.

> Honestly it seems that you haven’t just not written enough go.

There is nothing unique to Go here. Many popular languages suffer the same problem. But, if we want to place extensive Go experience as a requirement to speak to this then we have to defer to your experience. Perhaps you can choose an example of where you wrote code in Go that produced a runtime error, show us your tests, and explain how the condition evaded your checks and balances? – I'm fascinated to learn how your code ran perfectly while under test but then blew up in production.

[ninetyninenine]

> That questions: Why are you allowing your programs to be deployed when tests are failing? This is not a realistic scenario in the real world. Yes, you can invent contrived hypotheticals all day long, but it is meaningless. We've been clear that we are referring to practical settings.

Tests don’t catch everything. You can have a billion tests and there can still be uncaught runtime errors.

If you had a language that probably does not have runtime errors you don’t even need one test. Your program cannot fail in that way.

I honestly don’t think you know what you’re talking about. I didn’t make up a single hypothetical. This is real. Production errors can happen in spite of tests. Are you not familiar with this happening? It just means this: no experience.

Your compiler having a bug or not is orthogonal to the topic. Again you don’t know what you are talking about. If our compiler allows for runtime errors but is fully correct then no amount of tests can guarantee a runtime error will never happen. Golang as a fully correct compiler cannot be gauranteed to have no runtime errors with tests ever.

> What you are referring to is clear, but it cannot be considered in a vacuum. The alternative is to see the program keep trodding along, but do the wrong thing. In that case who cares if the program crashes instead? You're getting incorrect behaviour either way.

You’re writing this because you don’t have experience with programs that can never crash. A program that doesn’t crash doesn’t mean you never exit the program. The program can exit if you want it to. You just need to deliberately tell the program to exit. In golang if you do a division by zero, the program crashes. If you had sum types all divisions return an optional. Both paths of the optional must be handled by exhaustive matching so you must handle the case where the division yields a number or its undefined. If you want the program to exit when it is undefined you can do so. In golang the compiler doesn’t force you to handle both outcomes It just crashes. It’s the same with out of bounds access of an array.

Again real world testing doesn’t guarantee shit. A “complete type system” can be as extensive as dependent types like COQ or much simpler like rusts where you just have sum types and exhaustive pattern matching.

> Perhaps you can choose an example of where you wrote code in Go that produced a runtime error, show us your tests, and explain how the condition evaded your checks and balances?

Oh easy. we had a function that calculates velocity from a stream of input data. That’s (p2 - p1 / t2 - t1). Our integration tests and unit tests have dozens of tests that never yielded an error and we never saw an error in production for years. We switched to a new iot device that sometimes sent identical measurements to our system. Division by zero. We had a crash in production.

> I'm fascinated to learn how your code ran perfectly while under test but then blew up in production.

You’re inexperienced that’s why you’re fascinated. If you have formula involving velocity there an almost infinite amount of combinations that will never produce a runtime error and an infinite amount of parameter combinations that do. True full coverage that completely proves the function works with tests involves infinite tests. Better to prove the function works via proof with a simple extension to the type system. Sum types.

[9rx]

> Tests don’t catch everything.

Again, they will catch your runtime errors if your behaviour is covered. If your behaviour isn't covered, then you're just shifting the problem to the program doing the wrong thing instead of crashing. That is not a win. It might even be worse! So, this doesn't matter in practice. Your purely academic view of the world doesn't work with the discussion taking place, I'm afraid.

> If you had a language that probably does not have runtime errors you don’t even need one test.

Go on.

Here, let's use your example:

> That’s (p2 - p1 / t2 - t1).

Traditionally, the calculation is (p2 - p1) / (t2 - t1). I'll assume you had a non-standard situation that necessitated a different formula, but this could have equally been a mistake. It wouldn't be too hard to forget the inner parentheses. We'll assume that divide by zero was already eliminated by the type system, but now show us how sum types would avoid someone from making that mistake.

Maybe you did need tests after all...

> You’re writing this because you don’t have experience with programs that can never crash.

Not so. I spend most of my days writing code in programming languages that do provide such guarantees. It is a cool party trick, but doesn't really matter at the end of the day because they still don't offer the expressiveness to ensure that the program does what is expected of it. I still have to write tests, and once I've written the necessary tests to ensure all the behaviour is correct, there is no practical way you can miss a crash situation.

> Our integration tests and unit tests have dozens of tests that never yielded an error and we never saw an error in production for years.

And had you avoided the crash you'd get erroneous results from the function instead. You're not really any farther ahead. You still need assurances that the function actually behaves correctly. And if you had those assurances, you'd have caught the divide by zero condition.

You're not going to convince me that a complete type system is academically better. I already agree with that. But absent a complete type system, you're going to have to resort to tests. Once you've written those tests, you're going to uncover the runtime errors anyway.

> Division by zero. We had a crash in production.

Your fuzz tests never tried passing in values that would lead to division by zero? For such a simple function that has many possible states that can lead to that condition, that seems completely inconceivable. Hell, I just tried it for fun and it found the issue in less than 100 tries! This must have been the time you were talking about where you deployed to production without running the tests?

But let me be try to be clear: The compiler warning you that you haven't considered a division by zero case does not mean you've handled it correctly. Absent a complete type system, you still need tests to ensure that the behaviour is consistent with expectations even in those edge cases. But with those tests, runtime errors can't go unnoticed anyway, so you didn't really need the type system.

> Better to prove the function works via proof

Agreed. Complete type systems are unquestionably better theoretically. Writing tests is tedious. But it remains that with the languages people actually use, even those with "advanced" type systems, you can't prove much. You have to fall back to testing, and at that point you're going to uncover the runtime errors too.

> You’re inexperienced that’s why you’re fascinated.

There's a good way to change that. Let's see your code!

[ninetyninenine]

>But, again, they will catch your runtime errors if your behaviour is covered. If your behaviour isn't covered, then you're just shifting the problem to the program doing the wrong thing instead of crashing. That is not a win. It might even be worse! So, this doesn't matter in practice. Your purely academic view of the world doesn't work with the discussion taking place, I'm afraid.

So you're saying write tests that cover every possible behavior. Makes sense right? It's like saying write code without any bugs. Simple! You're not getting it. You can go run around telling people to write tests that eliminates 100% of bugs and that if you think that will eliminate all bugs from the world, well you're just not experienced.

>Go on. To continue with the original example, I have a function that tries to write to a file. If that fails, the caller is to try to write to a file on a different device. If the caller does anything else the program is broken with serious consequences and should not be shipped to production. Express that expectation using sum types. Hell, express it using any type construct available in popular languages. Good luck!

You can do this on rust. Literally it's the core of the rust sum type system. Good luck? Have you done basic programming with rust? Here's some psuedo code:

    match getFile(fileName) {
         Some(file) => do someghing
         Error => match getFile2(fileName2) {
              Some(file) => do something
              Error => exit()
         }
    }

The above is psuedo code. The thing with the match operator is that the program DOES not compile if you do not handle both SOME and ERROR. For golang you can handle the Some and then it crashes if there's a problem. You aren't required to explicitly handle it.

>Not so. I spend most of my days writing code in programming languages that do provide such guarantees. It is a cool party trick, but doesn't really matter at the end of the day because they still don't offer the expressiveness to ensure that the program does what is expected of it. I still have to write tests, and once I've written the necessary tests to ensure all the behaviour is correct, there is no way you can miss a crash situation.

There is a way. You're just not getting it. there's about infinite ways to crash a program that has runtime errors.

>Your fuzz tests never tried passing in values that would lead to division by zero? For such a simple function that has many possible states that can lead to that condition, that seems inconceivable. Hell, I just tried it for fun and it found the issue in less than 100 tries! This must have been the time you were talking about where you deployed to production without running the tests?

Hell I used a programming language with no run time errors and I didn't write a single test. Amazing! There are tons of functions complex enough such that your fuzz test will miss it. Again we had this code working for years because we implictly assumed said devices will never pass duplicate data.

Also we don't write fuzz tests. We just do basic testing. Fuzz testing is something our start up doesn't have time for. We would prefer guarantees without the need of extra testing/work/time in this area.

>Traditionally, the calculation is (p2 - p1) / (t2 - t1). I'll assume you had a non-standard situation that necessitated a different formula, but does serve as a great example of how behaviour is your real concern. One could easily input the formula you gave where they expected (p2 - p1) / (t2 - t1) and sum types wouldn't care one bit.

Nope your formula is correct. I just assumed you were intelligent enough to know what I meant even though I didn't put in all the parenthesis (I'm typing on my phone afte rall). I thought wrong.

>Agreed. Complete type systems are cool. Writing tests is tedious. But we await your proof to my case for a realistic setting where one uses a typical production programming language. If all you have is silly half-measures that only cover a small number of cases, you're not really proving much. All you are doing is giving yourself a false sense of security.

Yes rust. Jesus. You're so inexperienced you don't even know when it's standing in front of your face. You don't need the borrow checker from rust. You only need the sum type. Then take the sum type apply it to division by zero and out of bounds array access and all IO calls. Boom that's it. No more runtime errors.

>There's a good way to change that. Let's see your code!

just look at elm man. Yuo don't even know what I'm talking about because you literally don't have experience. You want to see code that never crashes? Get some experience with Elm and you'll see why it never crashes and you'll see it doesn't take a "complete" type system to make it that way. Elms type system is woefully simplistic.

Rust is like 80% of the way there... the reason why people don't use it is lifetimes and the borrow checker and the complexity associated with it. Additionally rust left some holes so it can crash (like division by zero), but it has all the primitives needed to prevent it.

[9rx]

> Good luck? Have you done basic programming with rust?

Have you? I am sorry that the good luck did not shine upon you. With the types remaining intact, I modified the (pseudo)code:

    match getFile(fileName) {
         Some(file) => do someghing
         Error => do something else unintended
    }

It still compiles. You failed.

> The thing with the match operator is that the program DOES not compile if you do not handle both SOME and ERROR.

But as you come off your hubris, you can now see above it will compile even when you screw up the error handling. So you haven't gained anything. You still need to write tests to ensure that you are actually doing the right thing. And once you've ensured you are doing the right thing, how do you think crashes are going to go beyond that? Right. Not going to happen.

> Fuzz testing is something our start up doesn't have time for.

Testing, is testing, is testing. If you have time to write tests, you have time to write fuzz tests where they are appropriate. To throw a test out the window just because it has a slightly different execution model (as provided by the language; not something you have to build yourself) is bizarre. In fact, in your case it seems it could have supplanted the other tests you wrote, actually saving you time not only while writing the code, but also later when you had to waste time dealing with the issue. Time clearly isn't as constrained as you let on.

> For golang you can handle the Some and then it crashes if there's a problem. You aren't required to explicitly handle it.

Technically, in Go 'Some' should always be valid, regardless of whether or not there is an error. That is a fundamental feature of the Go language. Given (T, error), the values are not dependent. You don't need to explicitly handle the error. That is a huge misunderstanding. The same would not be true in Rust, which does consider them to be dependent by design, but Go is a completely different language. You can't think Go as being Rust with different syntax. There is a lot more to languages than the superficial.