IEEE 754

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Omni-Man looking at the IEEE 754 Single Precision Floating-Point Standard and saying "look what they need to mimic a fraction" with the rest of the meme whited out

https://en.wikipedia.org/wiki/IEEE_754

cross-posted from: https://lemmy.ml/post/24332731

Stolen Cross-posted from here: https://fosstodon.org/@foo/113731569632505985

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Son of a bitch. Actual fifteen seconds of real laughter. Maybe even twenty.


And sometimes it seems irrational.

And other times 0.1 + 0.2 = 0.3000004

And other times 0.1 + 0.2 = 0.3000004

0.1 + 0.2 != 0.3000004

You’re off by 0.000000399999999955991114575226674787700176239013671875

(0.1 + 0.2 is actually 0.3000000000000000444089209850062616169452667236328125)

(And 0.1 is actually 0.1000000000000000055511151231257827021181583404541015625, and so on. People unfamiliar with IEEE 754 may be surprised by the output of python -c 'print("%.60f" % 0.1)')




Funny meme, never got why they used a bias instead of two’s complement for the exponent though


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Just store the fraction as a varchar like “11/17”, duh

Is that done in some environments? I think Maxima gives answers as fractions by default, but didn’t know how that worked. And my Casio calculator can stick to fractions and surds up to a point, but I think it’s just using float under the surface and converting back ok until too much rounding error creeps in…

think Maxima gives answers as fractions by default, but didn’t know how that worked.

It’s likely based on the theory of continued fractions and the calculator has a limit to the maximum denominator allowed to return an approximation of the fraction.


I’ve written econmerce systems and to avoid floating point errors I’d just use ints and divide by 100 on the front end.




The coolest part is you can do log math since you have the mantissa and exponent already for extremely fast multiplication and division (+ or - log values)


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