On 07/17/2017 09:06 PM, David Mertz wrote:
On Jul 17, 2017 7:56 PM, "Ethan Furman" <et...@stoneleaf.us
<mailto:et...@stoneleaf.us>> wrote:
On 07/17/2017 06:34 PM, Steven D'Aprano wrote:
On Mon, Jul 17, 2017 at 05:01:58PM -0700, Ethan Furman wrote:
Guido has decreed that namedtuple shall be reimplemented with speed
in mind.
I haven't timed it (I'm hoping somebody will volunteer to be the
bench mark
guru), I'll offer my NamedTuple implementation from my aenum [1]
library.
With respect Ethan, if you're going to offer up NamedTuple as a faster
version of namedtuple, you should at least do a quick proof of
concept to demonstrate that it actually *is* faster.
I suck at benchmarking, so thank you for providing those quick-and-dirty
hints.
Full bench marking
can wait, but you should be able to do at least something like:
python3 -m timeit --setup "from collections import namedtuple" \
"K = namedtuple('K', 'a b c')"
546 usec
versus
python3 -m timeit --setup "from aenum import NamedTuple" \
"K = NamedTuple('K', 'a b c')"
250 usec
So it seems to be faster! :)
Can you try across a range of tuple sizes? E.g. what about with 100 items? 1000?
I tried 26 and 52 (which really seems unlikely for a named tuple), and NamedTuple was consistently faster by about 250
usec. Using a metaclass is off the table, but this is still interesting data for me. :)
--
~Ethan~
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