In British Pounds, it would be pennies for example.
The doc doesn't explain how the library deals with the various different minor units out there (I've been bitten too many times by code that assumes that all currencies have a minor unit and that 100 minor units = 1 major unit so I'm careful these days).
For example, what about currencies that have a minor unit that's not effectively used in practice or that don't have a minor unit at all (e.g. JPY)? Are the amount supposed to be expressed in this unused / non-existent minor unit?
What happens with currencies that use a subdivision other than 100 for their minor unit (e.g. KWD)? Will the calculations and formatting be correct?
In JavaScript every number is a IEEE754 floating point number, and removing decimal places will not change its representation in memory or its limitations.
The only situation when a JavaScript Number type is treated as an integer is a vendor specific optimization for small integers (e.g: Smi in v8).
You can still run into issues such as absorption problems if dealing with only "integers". e.g:
> 1e16 -1
10000000000000000 // wrong
> 1e16 -2
9999999999999998
> 1e16 -3
9999999999999996 // wrong
> 1e16 -4
9999999999999996
> 1e16 -5
9999999999999996 // wrong
> 1e16 -6
9999999999999994
> 1e16 -7
9999999999999992 // wrong
But this is just the beginning.This is not true: with 64-bit floating-point numbers, calculations on numbers in a range from Number.MIN_SAFE_INTEGER (2^53-1) to Number.MAX_SAFE_INTEGER (-2^53-1) are safe to do. If you go outside this range, the numbers are no longer exact, so you'll have to check for overflow, but it's the same when you use native machine integer types (e.g. uint64) in most languages that have them.
The only situation when a JavaScript Number type is treated as an integer is a vendor specific optimization for small integers (e.g: Smi in v8).
A number is integer if it doesn't have a fractional component regardless of how it's represented by a computer.
There are also operations in JavaScript that treat their inputs as 32-bit integers (numbers are taken modulo 2^32), such as bitwise operations and Math.imul. But if you don't use them, integers can be as large or as small as described above.
> 1.03 - 0.42
0.6100000000000001But what happens after successive operations? the risk increases. Is this a good idea when dealing with currency? No. Does this library warn you about those cases or throw an error? no. Does this library provide unit tests for those cases? no.
Would it be possible to rewrite this library to use "floatish" numbers with initial multiplication and flooring then using decimal.js? I understand that non-internal arithmetics are slow as hell, but most of the time people just add products to a cart or sometimes apply a percentage discount.
On the other hand, please do throw for non-integer values :)
Plug in 0.11 and 0.1 and click `+`. You expect 0.21, but since 1/10 isn't cleanly represented in base 2 using a finite number of bits... (just like 1/3 isn't cleanly represented in base 10 ~0.33..).
And when it comes to currency, rounding and "good enough" is probably not going to be good enough.
Probably I'd like to do the last step with a custom arithmetic and not store the final value as a float, but like I said, I'm not sure. I get that the lowest denominator route is good, but it feels complicated and the chance of migrating a shoddy "good enough" project is zero in that case.
(For fuck's sake, in 2018 formatting text or using utf8 on hacker news is too much to ask for, it's even worse than slashdot)
It might be fine, depending on the use case. I think dealing with any complicated currency arithmetic and throwing floating point arithmetic on top is throwing gas on a fire.
That said, I consider this to be similar to the phone number representation. As in, what is the correct way to store and manipulate a phone number? 1 555 555 5555 looks a lot like a number, but does it make sense to increment by 1 or divide by 5?
Similarly, $1.12 looks a lot like a float, but would you ever have $pi? In practice currency acts more like an integer with possibly infinite digits i.e. probably a candidate for something like Java's BigInteger. But that's just my $0.02 :)
I'm missing something here? Do you mean you're storing mills (₥)?
In cases where that isn't possible, try an infinite precision javascript library. https://github.com/MikeMcl/big.js
You could _probably_ find a way to shim big.js into OP's library :)