If you are willing to sacrifice performance, you can implement dicts via linear lookup in much less code than a proper hash table.
If you are willing to sacrifice performance, you can implement dicts via linear lookup in much less code than a proper hash table.
Because Python dicts guarantee iteration order is the same as insertion order (https://docs.python.org/3.7/library/stdtypes.html#typesmappi...) Python dicts aren’t just proper hash tables.
Because of that it wouldn’t surprise me much if that sped up some standard benchmarks, for example ones parsing lots of small json objects into dictionaries.
It’s Python, you’ve already sacrificed performance, what a little bit more?
That's the spirit!
(Slightly less silly: the folks at https://github.com/faster-cpython are doing great work, too.)
Are they still? I thought this project was no longer really active.