On Fri, Jul 3, 2020 at 5:57 PM Soni L. <fakedme...@gmail.com> wrote: > > > On 2020-07-03 6:05 p.m., Federico Salerno wrote: > > Even after years of coding it sometimes takes me a moment to correctly > parse expressions like `min(max(value, minimum), maximum)`, especially when > the parentheses enclose some local computation instead of only references, > and the fact that `min` actually needs the *maximum* value as an argument > (and vice-versa) certainly doesn't help. > > It's a little surprising to me how shorthand functions akin to CSS's > `clamp()` aren't more popular among modern programming languages. Such a > tool is, in my opinion, even more missed in Python, what with it being > focussed on readability and all. There would likely also be some (probably > minor) performance advantages with implementing it at a builtins level. > > Example usage: > > >>> val = 100 > >>> clamp(10, val, 50) > 50 > >>> val = 3 > >>> clamp(10, val, 50) > 10 > >>> val = 25 > >>> clamp(10, val, 50) > 25 > > I'm undecided whether I would like `clamp`, `minmax` or something else as > a name. I'm curious of other ideas. > > As far as the signature is concerned, I like both `clamp(min, val, max)` > for the logical position of the three arguments (which mirrors expressions > such as `min < val < max`) and `clamp(val, min=x, max=y)`. I prefer the > former, but declaring them as normal positional-and-keyword arguments would > allow the programmer to use an alternative order if they so choose. > > > I'd go for val[min:max] tbh. >
If I were to see this, even if I didn't confuse it with slicing syntax, I'd intuitively think the resulting value is `min <= value < max`, given the typical meaning of min/max in the slicing syntax.
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