My concern about thread safety is about how easy it would be to make it thread unsafe accidentally.
Sure, global is not thread safe, but it is well known that use of global is, to newbies, “bad”, and to more experienced programmers, “to be used with caution, understanding the risks”.
But particularly if static provides a performance boost, people will be very tempted to use it without considering the implications.
If people want a high performance local constant— that sounds something like the constant proposal the OP brought up earlier.
On Thu, May 27, 2021 at 12:18 PM Brendan Barnwell firstname.lastname@example.org wrote:
On 2021-05-27 05:18, Steven D'Aprano wrote:
On Thu, May 27, 2021 at 07:56:16AM -0000, Shreyan Avigyan wrote:
Lot of programming languages have something known as static variable storage in *functions* not *classes*. Static variable storage means a variable limited to a function yet the data it points to persists until the end of the program.
+1 on this idea.
One common use for function defaults is to optimize function lookups to local variables instead of global or builtins:
def func(arg, len=len): # now len is a fast local lookup instead of a slow name lookup
Benchmarking shows that this actually does make a significant difference to performance, but it's a technique under-used because of the horribleness of a len=len parameter.
(Raymond Hettinger is, I think, a proponent of this optimization trick. At least I learned it from his code.)
I don't see this as a great motivation for this feature. If the
goal is to make things faster I think that would be better served by making the interpreter smarter or adding other global-level optimizations. As it is, you're just trading one "manual" optimization (len=len) for another (static len).
Yes, the new one is perhaps slightly less ugly, but it still puts
the onus on the user to manually "declare" variables as local, not because they are semantically local in any way, but just because we want a faster lookup. I see that as still a hack. A non-hack would be some kind of JIT or optimizing interpreter that actually reasons about how the variables are used so that the programmer doesn't have to waste time worrying about hand-tuning optimizations like this. So basically for me anything that involves the programmer saying "Please make this part faster" is a hack. :-) We all want everything to be as fast as possible all the time, and in sofar as we're concerned about speed we should focus on making the entire interpreter smarter so everything is faster, rather than adding new ways for the programmer do extra work to make just a few things faster.
Even something like a way of specifying constants (which has been
proposed in another thread) would be better to my eye. That would let certain variables be marked as "safe" so that they could always be looked up fast because we'd be sure they're never going to change.
As to the original proposal, I'm not in favor of it. It's fairly
uncommon for me to want to do this, and in the cases where I do, Python classes are simple enough that I can just make a class with a method (or a __call__ if I want to be really cool) that stores the data in a way that's more transparent and more clearly connected to the normal ways of storing state in Python. It just isn't worth adding yet another complexity to the language for this minor use case.
-- Brendan Barnwell "Do not follow where the path may lead. Go, instead, where there is no path, and leave a trail." --author unknown _______________________________________________ Python-ideas mailing list -- email@example.com To unsubscribe send an email to firstname.lastname@example.org https://mail.python.org/mailman3/lists/python-ideas.python.org/ Message archived at https://email@example.com/message/AT5HA2... Code of Conduct: http://python.org/psf/codeofconduct/