The verbose patterns (if err!= nil for example) make the code predictable to read, you notice the code smell of missing error handling really fast.
The verbose patterns (if err!= nil for example) make the code predictable to read, you notice the code smell of missing error handling really fast.
For example here's a code in Go to look for a Prime:
func IsPrime(n int) bool {
if n < 0 {
n = -n
}
switch {
case n < 2:
return false
default:
for i := 2; i < n; i++ {
if n%i == 0 {
return false
}
}
}
return true
}
It's readable as it is simple to understand what each line does.Here for example is a code that does the same thing in Rust:
fn is_prime(n: u64) -> bool {
match n {
0...1 => false,
_ => !(2..n).any(|d| n % d == 0),
}
}
It's might seem more complex at first (what does match do, what 0...1 means, !(2..n) what is any() doing. But if you understand the language it actually this seem much simpler and you can quickly look at it and know exactly what it is doing. And because it is less verbose it is easier to grasp the bigger code.I also noticed that while individual functions in Go are simple to understand and follow, you can still create complex, hard to follow and understand programs in Go.
That seems unfair when comparing:
Removing negatives from the Go implementation removes 6 out of 16 lines, bring it from 3x Rust to 2x Rust in line length.
Anyway in Go (ironically because of lack of generics) if you use any numeric type other than int, int64, float64 you will be in the word of hurt. Rust doesn't have that issue.
So in practice you will likely use int, and I suppose you can add an assertion.
BTW: I only see that it would remove 3 lines though, where are the other 3?
result = (float32)Max((float64)a, (float64)b)
I ended up switching the type to float64, and wonder why they even offer float32 if it's practically unusable. I had similar experience when I needed to use int8 or int16 etc.An alternative was to make own version of Max/Min and other math functions, but this is what generics would solve.
Rust is very fussy about types and some operations are bound to a single one (e.g. stdlib sequences only index with usize) but utility functions tend to either be genetic or be mass-implemented using macros (or by hand probably for f32::min and f64::min though I did not check).
So what your issue comes down to is Go's designers couldn't be arsed to duplicate the entire `math` package to also work on `float32`. Some members of the community did rise to the challenge[1] tho.
[0] well recent revisions of IEEE-754 have a total ordering predicate but I wouldn't say that it's really useful for such a situation as it positions NaNs on "outside" of the numbers, so a negative NaN is smaller than a negative number and a positive NaN larger than a positive number
Anyway my point was that with generics, they wouldn't need to copy anything, the math package would work with both float32 and float64 and many functions likely would also work on all integers.
The Rust code needs maintenance coders of way higher caliber, not something you'd usually find. It's super fun for the top-tier developers who love to be expressive and concise with their code, but all code is pushed down to maintenance mode eventually when the hotshots move on to the new shiny project.
Go has removed pretty much every footgun by sticking to the basics. You have one way to do a loop, one way to do comparisons etc. There are very few ways to hide non-obvious functionality.
It _is_ possible to create complex programs, that are hard to follow but that's a larger design problem. Not something the language can force on developers.
Thing is, care with what you wish for when easy to outsource is a goal, a welcomed feature mostly relevant to IT managers that don't care about the final quality of delivery, nor what consequences it makes to the home job market.
So yeah to all Wipros, Infosys, TCS, .....
static boolean isPrime(int n) {
return switch (n) {
case 0, 1 -> false,
default -> !IntStream.range(2, n).anyMatch(i -> n % i == 0)
}
}