Introduction
For some calculations I need to find the smallest possible number I can add/subtract from a specified number without JavaScript getting in trouble with the internal used data type.
Goal
I tried to write a function which is able to return the next nearest number to VALUE in the direction of value DIR.
function nextNearest(value, direction) {
// Special cases for value==0 or value==direction removed
if (direction < value) {
return value - Number.MIN_VALUE;
} else {
return value + Number.MIN_VALUE;
}
}
The problem with this is, that JavaScript uses a 64-bit float type (I think) which has different minimum step sizes depending on its current exponent.
Problem in detail
The problem is the step size depending on its current exponent:
var a = Number.MIN_VALUE;
console.log(a);
// 5e-324
console.log(a + Number.MIN_VALUE);
// 1e-323 (changed, as expected)
var a = Number.MAX_VALUE;
console.log(a);
// 1.7976931348623157e+308
console.log(a - Number.MIN_VALUE);
// 1.7976931348623157e+308 (that's wrong)
console.log(a - Number.MIN_VALUE == a);
// true (which also is wrong)
Summary
So how can I find the smallest possible number I can add/subtract from a value specified in a parameter in any direction? In C++ this would be easily possible by accessing the numbers binary values.
To round a number to the nearest whole number, you have to look at the first digit after the decimal point. If this digit is less than 5 (1, 2, 3, 4) we don't have to do anything, but if the digit is 5 or greater (5, 6, 7, 8, 9) we must round up.
I tried to implement Pointy's suggestion from the comments (using typed arrays). This is loosely adapted from glibc's implementation of nextafter
. Should be good enough.
You can actually just increment/decrement the 64-bit integer representation of a double to get the wanted result. A mantissa overflow will overflow to the exponent which happens to be just what you want.
Since JavaScript doesn't provide a Uint64Array
I had to implement a manual overflow over two 32-bit integers.
This works on little-endian architectures, but I've left out big-endian since I have no way to test it. If you need this to work on big-endian architectures you'll have to adapt this code.
// Return the next representable double from value towards direction
function nextNearest(value, direction) {
if (typeof value != "number" || typeof direction != "number")
return NaN;
if (isNaN(value) || isNaN(direction))
return NaN;
if (!isFinite(value))
return value;
if (value === direction)
return value;
var buffer = new ArrayBuffer(8);
var f64 = new Float64Array(buffer);
var u32 = new Uint32Array(buffer);
f64[0] = value;
if (value === 0) {
u32[0] = 1;
u32[1] = direction < 0 ? 1 << 31 : 0;
} else if ((value > 0) && (value < direction) || (value < 0) && (value > direction)) {
if (u32[0]++ === 0xFFFFFFFF)
u32[1]++;
} else {
if (u32[0]-- === 0)
u32[1]--;
}
return f64[0];
}
var testCases = [0, 1, -1, 0.1,
-1, 10, 42e42,
0.9999999999999999, 1.0000000000000002,
10.00000762939453, // overflows between dwords
5e-324, -5e-324, // minimum subnormals (around zero)
Number.MAX_VALUE, -Number.MAX_VALUE,
Infinity, -Infinity, NaN];
document.write("<table><tr><th>n</th><th>next</th><th>prev</th></tr>");
testCases.forEach(function(n) {
var next = nextNearest(n, Infinity);
var prev = nextNearest(n, -Infinity);
document.write("<tr><td>" + n + "</td><td>" + next + "</td><td>" + prev + "</td></tr>");
});
document.write("</table>");
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