With regard to CPython, there is a recent discussion on this topic:
https://discuss.python.org/t/trying-to-understand-rounding-in-python/28014

Le jeu. 28 déc. 2023, à 21 h 43, Stefano Miccoli via NumPy-Discussion <
numpy-discussion@python.org> a écrit :

> I have always been puzzled about how to correctly define the python
> built-in `round(number, ndigits)` when `number` is a binary float and
> `ndigits` is greater than zero.
> Apparently CPython and numpy disagree:
>         >>> round(2.765, 2)
>         2.77
>         >>> np.round(2.765, 2)
>         2.76
>
> My question for the numpy devs are:
> - Is there an authoritative source that explains what `round(number,
> ndigits)` means when the digits are counted in a base different from the
> one used in the floating point representation?
> - Which was the first programming language to implement an intrinsic
> function `round(number, ndigits)` where ndgits are always decimal,
> irrespective of the representation of the floating point number? (I’m not
> interested in algorithms for printing a decimal representation, but in
> languages that allow to store and perform computations with the rounded
> value.)
> - Is `round(number, ndigits)` a useful function that deserves a rigorous
> definition, or is its use limited to fuzzy situations, where accuracy can
> be safely traded for speed?
>
> Personally I cannot think of sensible uses of `round(number, ndigits)` for
> binary floats: whenever you positively need `round(number, ndigits)`, you
> should use a decimal floating point representation.
>
> Stefano_______________________________________________
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