After Windows has updated, some calculated values have changed in the last digit, e.g. from -0.0776529085243926 to -0.0776529085243925. The change is always down by one and both even and odd numbers are affected. This seems to be related to KB4486153, as reverting this update changes the values back to the previous ones.
This change can be seen already when debugging in Visual Studio and hovering over the variable. The value is later written to an output file and changes therein as well (without running the debugger).
Minimal reproducible example
var output = -0.07765290852439255;
Trace.WriteLine(output); // This printout changes with the update.
var dictionary = new Dictionary<int, double>();
dictionary[0] = output; // Hover over dictionary to see the change in debug mode
Background
The calculated value comes from
output[date] = input[date] / input[previousDate] - 1;
Disregarding the loss of precision in floating-point arithmetic, I can do the calculation in the Immediate window and get -0.07765290852439255
both before and after the upgrade.
However, when hovering over the output
variable , I see {[2011-01-12 00:00:00, -0.0776529085243926]}
before the upgrade and {[2011-01-12 00:00:00, -0.0776529085243925]}
after, and this difference is also propagated to an output file.
It seems like the calculated value is the same before and after the update, but its representation is rounded differently.
The input values are
{[2011-01-11 00:00:00, 0.983561000400506]}
{[2011-01-12 00:00:00, 0.907184628008246]}
Target framework is set to .NET Framework 4.6.1
Question
Is there something I can do to get the previous behaviour while keeping the updates?
I know about loss of precision in floating-point calculations, but why does this change happen after an update and how can we guarantee that future updates don't change the representation of values?
KB4486153 is an update for Microsoft .NET Framework 4.8, see https://support.microsoft.com/en-us/help/4486153/microsoft-net-framework-4-8-on-windows-10-version-1709-windows-10-vers
OP is encountering one of the common problems with floating-point math. With new software, does one want consistent answers or the best answer? (The upgrade is better)
Some info to help advance the issue.
var output = -0.07765290852439255;
With common binary64 encoding1, due to the binary nature of binary64, output
takes on the exact value of
-0.077652908524392 54987160666132695041596889495849609375
The below shows the prior and next possible double
too as hexadecimal and decimal FP.
-0.077652908524392 5
-0x1.3e10f9e8d3217p-4 -0.077652908524392 53599381885351249366067349910736083984375
-0x1.3e10f9e8d3218p-4 -0.077652908524392 54987160666132695041596889495849609375
-0.077652908524392 55
-0x1.3e10f9e8d3219p-4 -0.077652908524392 56374939446914140717126429080963134765625
-0.077652908524392 6
The best rounded-to-nearest value of -0.077652908524392 55
(which is encoded exactly as -0.077652908524392 5498...
) to one less digit is then -0.077652908524392 5
. After the upgrade, code is printing the better answer - at least in this singular case.
I do not see this as a rounding change as much as an improved conversion to text.
Is there something I can do to get the previous behaviour while keeping the updates?
Perhaps, yet it looks like the update presents a better result.
how can we guarantee that future updates don't change the representation of values
Use hexadecimal floating point output (as with "%a"
in C) is one approach to gain don't change the representation, yet non-decimal output is unfamiliar.
1 With other encodings, the exact value may have been closer to -0.077652908524392 6
than -0.077652908524392 5
.
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