MicroPython Forum

After implementing doubles, I wanted to test double equality. But to my surprise, 0.1+0.2==0.3 returns True instead of False, although on my PC, Python3 does return False.

I also tried 0.1+0.2-0.3, which returns 5.551115123125783e-17 on my PC, but 0.0 on Micropython.

I thought avoiding double precision issues was only possible with BCD, but from what I've seen, Micropython floats are plain old IEEE754 floats.

- How does Micropython avoid these kinds of double precision issues?
- Is there an operation where a BCD system (used by TI/casio calculators) would return a different answer from Micropython?

There’s a few threads on here about float issues.

Search for “float” or “double” in title of posts.


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Micropython doesn't do anything specific to avoid the issues. It has a different sized float so it will have issues with different sets of numbers, but it still has all of the same issues.

For example, on my pyboard: You also need to be careful to differentiate what a floating point number looks like when its printed versus what the value of the float actually is.

Thanks, 0.5-0.3-0.2 indeed prints 5.551115123125783e-17 instead of 0. So there are double precision issues (as expected, but at least I have an example).