That's not a "direct analogue" of my implementation, for many reasons; you've changed the semantics and engineering tradeoffs so much that we might as well write `n % 2 == 0`.
The biggest problem is that, assuming we copy your snippet into a couple of function definitions, we've completely lost the encapsulation/separation-of-concerns/delegation/etc. provided by my `odd` and `even` functions; i.e. all of the "software engineering" stuff that makes source code more maintainable than disassembled binary.
Your loop is more like the following, which is not what I wrote:
even(n: uint): boolean = n match {
case 0: true
case n: !even(n-1)
}
odd(n: uint): boolean = n match {
case 0: false
case n: !odd(n-1)
}
The major difference is the use of iteration/tail-recursion in this implementation:
- This loop collapses all of the abstraction, forcing each function to implement the entire solution. In contrast, my implementation uses divide-and-conquer: only the zero case is handled directly, and the non-zero case is delegated to a more suitable handler.
- Wrapping two copies of this loop into `even` and `odd` functions will completely lose the relationships inherent in my implementation. For example, if we add instrumentation, optimisations, logging, etc. to the `even` function, that will affect my `odd` function but have no effect if we were to write independent loops.
- This looping implementation has extra dependencies, specifically on `range` and `!`. The `!` function requires knowledge of boolean algebra, the `range` function requires knowledge of lists/sequences/iterators, and `range` also seems to make more sophisticated use of number theory than the `odd`/`even`/`-` required to understand and maintain my implementation.
Note that I'm not claiming either of these is "better"/"worse" than the other. Simply that your loop is not representative of my example; that's specifically why I chose a mutually-recursive example, and not an iterative/tail-recursive one!
(Of course, all of these are exaggerations for such a simple example; but complex, real-world codebases require such engineering practices and tradeoffs to be taken seriously for the sake of maintenance)