4 ms·
I think the only sensible thing to do is to have distinct operators for integer arithmetic (where the impossibility to represent a result obviously is an error
by zAy0LfpBZLC8mAC 11y ago
I think the only sensible thing to do is to have distinct operators for integer arithmetic (where the impossibility to represent a result obviously is an error that should be caught) and wraparound arithmetic that you can use if you actually need wraparound semantics (or where you need the speed and can prove that it does give you the correct result better than the compiler can).
- Alphasite_ 11y agoSounds like what swift does, checked and unchecked arthritic operators.
- vog 11y agoWhy do people invent these strange terms? "wraparound arithmetic". "unchecked arithmetics". Really? The correct term is modular arithmetic, which is well established in maths for centuries. And it is properly backed by a really nice and almost dead-simple theory (at least from a programmer's point of view). Is this no longer taught in school? If you like to emphasize the fact that it's mostly modulo a power of two (2^n), then call it two's complement. However, that overemphasizes the binary representation, which I find most of the time more distracting than helpful. As a side note, integer division is usually not performed in modular arithmetics, but addition, subtraction and multiplication are.
- zAy0LfpBZLC8mAC 11y ago(2147483647 + 1) % m = -2147483648 What is the m?
- periodontal 11y ago2147483647 + 1 is congruent to -2147483648 modulo 4294967296.
- khedoros 11y ago> Why do people invent these strange terms? Same reason we talk about a "for loop" or a "while loop", instead of just a "conditional branch". Different words add different context to the concept that they're based on. For example, "modular arithmetic" doesn't include the context of checking for undesired leaks in Rust's arithmetic implementation. "Unchecked arithmetic" does.
- jimktrains2 11y agoIt's modular arithmetic because of the internals of the processor, not because of some law-of-the-universe. It could just as easy a processor not allow over- or under- flow operations. However, it's easiest to just truncate the number and essentially do modular arithmetic. That's the difference. Over- or under- flow, checked, wrap-around all refer to the state at which the operation's answer needs more space than it is given. Modular arithmetic and checked instructions are what to do in those situations. Aside, division in modular arithmetic can be done, but it's not what most people want (hence why usually not performed). 4 / 3 mod 7 -> 4 * 5 mod 7 ( 5 is the multiplicative inverse of 3 mod 7 ( 3 * 5 = 1 mod 7) -> 6 mod 7
- vog 11y ago> It's modular arithmetic because of the internals of the processor, not because of some law-of-the-universe I beg to differ. There were various integer representations tried, such as having a separate "sign" bit on integers. But the two's complement finally was used by everyone. So there's something deeply unique to modulo arithmetics that none of the other representations could offer. This is not just about saving a few gates in the circuit. > However, it's easiest to just truncate the number and essentially do modular arithmetic The point is, there is no truncatenation step. It's just a side effect. If you build any naive adder circuit, substractor, multiplicator - even if you totally ignore negative numbers, you automatically have a full working two's complement, that works for negative numbers without any additional effort. And why is that? Because the mathematical structure behind it is so dead-simple that it almost works by miracle. (except for division, which is highly non-intuitive and has more pitfalls than usual pitfall of division by zero.) As a consequence of this simple math structure, it is very easy to build in hardware without any additional handling of nasty special cases.
- jimktrains2 11y ago> As a consequence of this simple math structure, it is very easy to build in hardware without any additional handling of nasty special cases. Which is exactly my point! It's only the way we build things, not some hard-and-fast way things work intrinsically. I have no argument with it's an extremely simple way to deal with an over- or under- flow. But that's my point! It's a way to deal with the case, not the case itself!
- vardump 11y agoMaybe it's an Apple thing. Sometimes they make up silly names like "Grand Central Dispatch" for executing a block in parallel in multiple threads. "ARC" makes me still think "adaptive replacement cache", not "automatic reference counting". At least they don't call it "automatic retain count". After all, they used to call "reference count" as "retain count". Confused the heck out of me on my first exposure to Objective-C. Not that others like Microsoft don't do the same thing, renaming commonly known concepts to something they made up. Like DEP vs NX vs XD. Or Interlocked* for atomic operations. Atomic add in Microsoftese is InterlockedAdd.
- renox 11y agoUnchecked != modulo in Rust case, I think that the compiler is free to generate either a trap on overflow or a modulo result. After all the MIPS has trap on overflow instructions..
- dllthomas 11y ago> If you like to emphasize the fact that it's mostly modulo a power of two (2^n), then call it two's complement. And it's signed, and negative numbers work by, well, two's complement... Referring to unsigned integers, modulo a power of two, as "two's compliment" is at least weird. Referring to integers with a different encoding of negative numbers as "two's complement" would be incorrect, even if they still wrap around near a power of two.
- deleted 11y ago[deleted]
- weinzierl 11y agoSwift has this and this is a sensible way to go but not the only one. I personally would prefer integer overflow resulting in NaN like it does with IEEE floating point operations. Regher has written about this option a bit more in [1]. On the other hand, as long as we have no hardware support this is not going to fly. If we consider current popular hardware as given, want to be as safe as possible while still retaining performance competitive with C/C++ the solution the Rust community chose is a very good one and one I can live with. [1] http://blog.regehr.org/archives/641 http://blog.regehr.org/archives/641
- zAy0LfpBZLC8mAC 11y agoWell, I would kindof consider that to be an implementation of that approach, if you think of NaN as an error return. The important part is that you don't return a value that is arithmetically incorrect for the expected semantics, but not recognizable as such by itself. I think the approach of Rust is stupid because it makes the fast but insecure option the default for all the code that's written without thinking about it too much that isn't in any way performance critical. Most arithmetic operators in code are not performance critical, only a few that are executed often, are, so it doesn't make much sense to make the behaviour that you need in that case the default, when that also is a security risk. And overflow checking only in debug builds is kindof useless from a security perspective. Having different types instead of different operators also is weird. You don't have "additive integers" and "multiplicative integers" either, where the former's "+" operator does addition, while the latter's does multiplication (which is a form of (repeated) addition, after all!). If you have the same set of numbers to operate on, the obviously sensible thing to do is to have different operators for different ways to map pairs of those numbers to single numbers from the same set.
- weinzierl 11y agoIt's not the same as an error return because the NaN propagates through all subsequent calculations. In numerical code very often there are no checks for NaN at all. I'd even go so far to say that a lot of FORTRAN code in use today was written before NaN was introduced. I/O functions like printf or WRITE treat NaN properly so if something went wrong you end up with the string "NaN" in your output. In rust the checked_... methods that return an Option come close to the NaN behaviour.