[Python-Dev] Impact of Namedtuple on startup time (original) (raw)
Joao S. O. Bueno jsbueno at python.org.br
Mon Jul 17 17:38:38 EDT 2017
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Just for sake of completeness since people are talking about a namedtuple overhaul, I have a couple implementations here -
https://github.com/jsbueno/extradict/blob/master/extradict/extratuple.py
If any idea there can help inspiring someone, I will be happy.
js -><-
On 17 July 2017 at 18:26, Barry Warsaw <barry at python.org> wrote:
namedtuple is great and clever, but it’s also a bit clunky. It has a weird signature and requires a made up type name. It’s also rather unPythonic if you want to support default arguments when creating namedtuple instances. Maybe as you say, a lot of the typical use cases for namedtuples could be addressed by a better builtin, but I fear we’ll end up down the bikeshedding hole for that.
-Barry > On Jul 17, 2017, at 16:31, Giampaolo Rodola' <g.rodola at gmail.com> wrote: > > I completely agree. I love namedtuples but I've never been too happy about the additional overhead vs. plain tuples (both for creation and attribute access times), to the point that I explicitly avoid to use them in certain circumstances (e.g. a busy loop) and only for public end-user APIs returning multiple values. > > To be entirely honest, I'm not even sure why they need to be forcefully declared upfront in the first place, instead of just having a first-class function (builtin?) written in C: > > >>> ntuple(x=1, y=0) > (x=1, y=0) > > ...or even a literal as in: > > >>> (x=1, y=0) > (x=1, y=0) > > Most of the times this is what I really want: quickly returning an anonymous tuple with named attributes and nothing else, similarly to os.times() & others. I believe that if something like this would exist we would witness a big transition from tuple() to ntuple() for all those functions returning more than 1 value. We witnessed a similar transition in many parts of the stdlib when collections.namedtuple was first introduced, but not everywhere, probably because declaring a namedtuple is more work, it's more expensive, and it still feels like you're dealing with some kind of too high-level second-class citizen with too much overhead and too many sugar in terms of API (e.g. "verbose", "rename", "module" and "source").
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