And a lot more bug prone. I’m just explaining the OP because people didn’t get it. I’m not saying dynamic languages are bad. I’m saying they have different trade-offs.
I have a feeling you are misunderstanding what is meant by “theorems for free” here. For example, one theorem that is proven by all safe Rust programs is that they don’t have data races. That should always be a requirement for functional software. This is a more pragmatic type of automatic theorem proving that doesn’t require a direct proof from the code author. The compiler does the proof for you. Otherwise the theorem would not be “free” as stated in OP.
Yes, that’s why we use typing, to get better working code more easily. That’s why I use type annotation and enforced checkers in Python. It makes it so much easier and quicker to create good systems of any significance.
I may just be an old country lawyer PHP developer… but don’t most dynamic languages also support static type checking and general analysis at this point?
Yes but no. Modern PHP lets you put types in function signatures and it will then attempt to convert your inputs to those types at runtime.
JS/TS and Python don’t do this. They have optional type annotations that’s treated as syntactic sugar. You can use static checkers against this but if you get an error like “expected string got int” you can still run the code. It won’t behave any differently because you have annotations.
Yes if you use type annotations. Languages like Python and Typescript end up resorting to “Any” types a lot of the time, which breaks any kind of theorem proving you might have otherwise benefited from.
Java developers aren’t allowed to not know better by this point. If they think skipping types is somehow ideologically purer, keep hitting with that stick until you hit deckplate.
Though even statically-typed languages can need to check types sometimes; parsing runtime data for instance. I can see how you’d do that with pure statics, but it’d just be shifting the work (e.g. if token == QUOTE: proc.call(read_str(bytes, len))). It’d be cool to see a counter example that isn’t unreadable gibberish, however.
It’s making fun of dynamic languages because rather than letting the compiler prove theorems about statically typed code, they… don’t.
Dynamic languages were invented by runtime error companies to sell more runtime errors.
What
It’s making fun of dynamic languages because rather than letting the compiler prove theorems about statically typed code, they… don’t.
yeah yeah, thanks, i get it. It was more of an ironic “what”
What
Turns out getting working code is a lot cheaper and more useful than formally proven code.
And a lot more bug prone. I’m just explaining the OP because people didn’t get it. I’m not saying dynamic languages are bad. I’m saying they have different trade-offs.
The problem with formal proofs for code is that it assumes the spec/requirements are complete and bug-free.
I find most bugs come from missed or misinterpreted requirements.
I have a feeling you are misunderstanding what is meant by “theorems for free” here. For example, one theorem that is proven by all safe Rust programs is that they don’t have data races. That should always be a requirement for functional software. This is a more pragmatic type of automatic theorem proving that doesn’t require a direct proof from the code author. The compiler does the proof for you. Otherwise the theorem would not be “free” as stated in OP.
And maintainable code is even cheaper and more useful than that in the long run.
Ah, the long run. I keep trying to explain this concept to management, but without success.
The technical debt is strong in this one
You call it tech debt, I call it last quarter’s profits.
Cheaper? Yes, I guess so, depending on how you measure cost. More useful? Absolutely disagree.
Industry will pick functionality over verification every time.
Industry will leak PII without consequence every week.
Yes, that’s why we use typing, to get better working code more easily. That’s why I use type annotation and enforced checkers in Python. It makes it so much easier and quicker to create good systems of any significance.
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I may just be an old country
lawyerPHP developer… but don’t most dynamic languages also support static type checking and general analysis at this point?Yes but no. Modern PHP lets you put types in function signatures and it will then attempt to convert your inputs to those types at runtime.
JS/TS and Python don’t do this. They have optional type annotations that’s treated as syntactic sugar. You can use static checkers against this but if you get an error like “expected string got int” you can still run the code. It won’t behave any differently because you have annotations.
Yes if you use type annotations. Languages like Python and Typescript end up resorting to “Any” types a lot of the time, which breaks any kind of theorem proving you might have otherwise benefited from.
I know Java developers that are addicted to Object. Hit them over the head with an ensmarttening stick and reject their PRs.
Java developers aren’t allowed to not know better by this point. If they think skipping types is somehow ideologically purer, keep hitting with that stick until you hit deckplate.
What
Though even statically-typed languages can need to check types sometimes; parsing runtime data for instance. I can see how you’d do that with pure statics, but it’d just be shifting the work (e.g.
if token == QUOTE: proc.call(read_str(bytes, len))). It’d be cool to see a counter example that isn’t unreadable gibberish, however.