While I'm not really against the concept of NaN not equaling itself, this reasoning makes no sense. Even if the standard was "NaN == NaN evaluates to true" there would be no reason why NaN/Nan should necessarily evaluate to 1.
If you have x = "not a number", you don't want 1 + x == 2 + x to be true. There would be a lot of potential for false equivalencies if you said NaN == NaN is true.
--
It could be interesting if there was some kind of complex NaN number / NaN math. Like if x is NaN but 1x / 2x resulted in 0.5 maybe you could do some funny mixed type math. To be clear I don't think it would be good, but interesting to play with maybe.
An f32-NaN has 22 bits that can have any value, originally intended to encode error information or other user data. Also, there are two kinds of NaNs: queit NaN (qNaN) and signalling NaNs (sNaN) which behave differently when used in calculations (sNaNs may throw exceptions).
Without looking at the bits, all you can see is NaN, so it makes sense to not equal them in general. Otherwise, some NaN === NaN and some NaN !== NaN, which would be even more confusing.
// Optimize special case if (x == y) return 1; else return x/y;
So, by that logic, if 0 behaved like a number and had a value equal to itself, well, you could accidentally do math with it: 0 / 0 would result in 1...
But as it turns out, 0 behaves like a number, has a value equal to itself, you can do math with it, and 0/0 results in NaN.
The rationale is that if the programmer forgets to initialize a float, and it defaults to 0.0, he may never realize that the result of his calculation is in error. But with NaN initialization, the result will be NaN and he'll know to look at the inputs to see what was not initialized.
It causes some spirited discussion now and then.
It's the same idea for pointers, which default initialize to null.
Equality on things that it doesn't make sense to compare returning false seems wrong to me. That operation isn't defined to begin with.
By shipping with undefined, JavaScript could have been there only language whose type system makes sense... alas!
- In 1985 there were a ton of different hardware floating-point implementations with incompatible instructions, making it a nightmare to write floating-point code once that worked on multiple machines
- To address the compatibility problem, IEEE came up with a hardware standard that could do error handling using only CPU registers (no software, since it's a hardware standard) - With that design constraint, they (reasonably imo) chose to handle errors by making them "poisonous" - once you have a NaN, all operations on it fail, including equality, so the error state propagates rather than potentially accidentally "un-erroring" if you do another operation, leading you into undefined behavior territory
- The standard solved the problem when hardware manufacturers adopted it
- The upstream consequence on software is that if your programming language does anything other than these exact floating-point semantics, the cost is losing hardware acceleration, which makes your floating-point operations way slower
As specified by the standard since its beginning, there are 2 methods for handling undefined operations:
1. Generate a dedicated exception.
2. Return the special value NaN.
The default is to return NaN because this means less work for the programmer, who does not have to write an exception handler, and also because on older CPUs it was expensive to add enough hardware to ensure that exceptions could be handled without slowing down all programs, regardless whether they generated exceptions or not. On modern CPUs with speculative execution this is not really a problem, because they must be able to discard any executed instruction anyway, while running at full speed. Therefore enabling additional reasons for discarding the previously executed instructions, e.g. because of exceptional conditions, just reuses the speculative execution mechanism.
Whoever does not want to handle NaNs must enable the exception for undefined operations and handle that. In that case no NaNs will ever be generated. Enabling this exception may be needed in any case when one sees unexpected NaNs, for debugging the program.
That said, I don’t think undefined in JS has the colloquial meaning you’re using here. The tradeoffs would be potentially much more confusing and error prone for that reason alone.
It might be more “correct” (logically; standard aside) to throw, as others suggest. But that would have considerable ergonomic tradeoffs that might make code implementing simple math incredibly hard to understand in practice.
A language with better error handling ergonomics overall might fare better though.
NaN is a value of the Number type; I think there are some problems with deciding that Number is not compatible with Number for equality.
We just need another value in the boolean type called NaB, and then NaN == NaN can return NaB.
To complement this, also if/then/else should get a new branch called otherwise that is taken when the if clause evaluates to NaB.
Or, maybe we could say that our variables just represent some ideal things, and if the ideal things they represent are equal, it is reasonable to call the variables equal. 1.0d0, 1.0, 1, and maybe “1” could be equal.
Please no, js devs rely too much on boolean collapse for that. Undefined would pass as falsy in many places, causing hard to debug issues.
Besides, conceptually speaking if two things are too different to be compared, doesn’t that tell you that they’re very unequal?
https://en.wikipedia.org/wiki/NaN
Also you even have different kinds of NaN (signalling vs quiet)
I'm also not a fan of the other property that NaN evaluates to false for all three of <, > and =, even though I don't have a good idea what to do otherwise.
I think as programmers, we usually assume that "not (a > b)" implies "a <= b" and vice-versa and often rely on that assumption implicitly. NaN breaks that assumption, which could lead to unexpected behavior.
Consider something like this (in JS) :
function make_examples(num_examples) {
if (num_examples <= 0) {
throw Error("num_examples must be 1 or more");
}
const examples = [];
for (let i = 0; i < num_examples; i++) {
examples.push(make_example(i));
}
// we assume that num_examples >= 1 here, so the loop ran at least once and the array cannot be empty.
postprocess_first_example(examples[0]); // <-- (!)
return examples;
}
If somehow num_examples were NaN, the (!) line would fail unexpectedly because the array would be empty.NaN is an error monad.
[0] https://www.ams.org/journals/tran/1945-058-00/S0002-9947-194...
The root of the problem, completely overlooked by OP is that IEEE 754 comparison is not an equivalence relation. It's a partial equivalence relation (PER). It does have its utility, but these things can be weird and they are definitely not interchangeable with actual equivalence relations. Actual, sane, comparison of floating points got standardized eventually, but probably too late https://en.wikipedia.org/wiki/IEEE_754#Total-ordering_predic.... It's actually kinda nuts that the partial relation is the one that you get by default (no, your sorting function on float arrays does not sort it).
JavaScript is a quirky, badly-designed language and I think that is common knowledge at this point.
- NaN is a floating point number, and NaN != NaN by definition in the IEEE 754-2019 floating point number standard, regardless of the programming language, there's nothing JavaScript-specific here.
- In JS Number.isNaN(v) returns true for NaN and anything that's not a number. And in JS, s * n and n * s return NaN for any non empty string s and any number n ("" * n returns 0). (EDIT: WRONG, sée below)
No? It is easy to verify that `"3" * 4` evaluates to 12. The full answer is that * converts its operands into primitives (with a hint of being number), and any string that can be parsed as a number converts to that number. Otherwise it converts to NaN.
Therefore, trying to do math with either (for example: NaN/NaN or inf./inf.) was to try to pin them down to something tangible and no longer conceptual — therefore disallowed.
if(x !== x) ... // x is NaN
Does Numpy do the same? That’s where I usually meet NaN.
after all, the usual WTF lists for JS usually have a stringified NaN somewhere as part of the fun.
because a <= b is defined as !(a > b)
then:
5 < NaN // false
5 == NaN // false
5 <= NaN // true
Edit: my bad, this does not work with NaN, but you can try `0 <= null`
Consider the difference between:
1. "Box A contains a cursed object that the human mind cannot comprehend without being driven to madness. Does Box B also contain one? ... Yes."
2. "Is the cursed object in Box A the same as the one in Box B? ... It... uh..." <screaming begins>
Note that this is not the same as stuff like "1"==1.0, because we're not mixing types here. Both operands are the same type, our problem is determining their "value", and how we encode uncertainty or a lack of knowledge.
While it’s common to see groaning about double-equal vs triple-equal comparison and eye-rolling directed at absurdly large tables like in https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guid... but I think it’s genuinely great that we have the ability to distinguish between concepts like “explicitly not present” and “absent”.
A failed sensor can indicate this by submitting a NaN reading. Then, and subsequent operations on the array data will indicate which results depended on the failed sensor, as the result will be NaN. Just defaulting to zero on failure will hide the fact that it failed and the end results will not be obviously wrong.
NaN should have been NaVN, not a valid number.