When I rounded a double number with HALF_EVEN mode , I found a problem, I don't know whether it is a bug of JDK? Please see the following code:
public static void main(String[] args) {
RoundingMode mode = RoundingMode.HALF_EVEN;
for (int i = 10; i < 100; i++) {
double d = i + 0.55;
int scale = 1;
process(d, scale++, mode);
d = i + 0.555;
process(d, scale++, mode);
d = i + 0.5555;
process(d, scale++, mode);
d = i + 0.55555;
process(d, scale++, mode);
System.out.println("\n");
}
}
private static void process(double d, int scale, RoundingMode roundingMode) {
BigDecimal b = new BigDecimal(d).setScale(scale, roundingMode);
System.out.println(d + " -> " + b);
}
I expect to output:
10.55 -> 10.6
10.555 -> 10.56
10.5555 -> 10.556
10.55555 -> 10.5556
11.55 -> 11.6
11.555 -> 11.56
11.5555 -> 11.556
11.55555 -> 11.5556
.....
But actually, it outputs data like the below:
10.55 -> 10.6
10.555 -> 10.55
10.5555 -> 10.556
10.55555 -> 10.5556
11.55 -> 11.6
11.555 -> 11.55
11.5555 -> 11.556
11.55555 -> 11.5556
....
30.55 -> 30.6
30.555 -> 30.55
30.5555 -> 30.555
30.55555 -> 30.5556
31.55 -> 31.6
31.555 -> 31.55
31.5555 -> 31.555
31.55555 -> 31.5556
32.55 -> 32.5
32.555 -> 32.55
32.5555 -> 32.556
32.55555 -> 32.5555
33.55 -> 33.5
33.555 -> 33.55
33.5555 -> 33.556
33.55555 -> 33.5555
.........
62.55 -> 62.5
62.555 -> 62.55
62.5555 -> 62.556
62.55555 -> 62.5555
63.55 -> 63.5
63.555 -> 63.55
63.5555 -> 63.556
63.55555 -> 63.5555
64.55 -> 64.5
64.555 -> 64.56
64.5555 -> 64.555
64.55555 -> 64.5555
65.55 -> 65.5
65.555 -> 65.56
65.5555 -> 65.555
65.55555 -> 65.5555
66.55 -> 66.5
66.555 -> 66.56
66.5555 -> 66.555
66.55555 -> 66.5555
There are the same result in JDK 1.7/1.8
Is it a bug of JDK?
It's part of life sadly, and due to the fact that double
types are implemented internally with a radix of 2. For scientific programming this is a remarkably clever thing to do. But it does mean that when you want to view or specify them with a base 10 radix, what you see is not necessarily what you get.
For example, the literal 10.555
is actually a number slightly less than this (10.5549999999999997157829056959599256515502929687...
) So apparent German rounding will actually round this number downwards. Your question contains many similar cases.
This is not a bug as such, but if you need precise rounding then you ought to use a class equipped to represent decimal numbers with arbitrary precision.
Using BigDecimal
is an option but you are misusing it horribly!. By using the constructor from a double
(i.e. new BigDecimal(d)
) the imprecision endemic in d
will be merely copied to the BigDecimal
. So you ought to use the constructor from a String
instead, or some similar approach.
Finally, take a look at http://www.exploringbinary.com/floating-point-converter. Type in your decimal number and see the value that it assumes when converted to floating point.
Use BigDecimal b = BigDecimal.valueOf(d).setScale(scale, roundingMode);
instead.
As the docs say "This is generally the preferred way to convert a double (or float) into a BigDecimal, as the value returned is equal to that resulting from constructing a BigDecimal from the result of using Double.toString(double)."
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