Hirola¶
NumPy vectorized hash table written in C for fast (roughly 10x faster) set/dict
like operations.
Free software: MIT license
Documentation: https://hirola.readthedocs.io/
Source code: https://github.com/bwoodsend/hirola/
Releases: https://pypi.org/project/hirola/
A hirola.HashTable is to dict what numpy.array is to list.
By imposing some constraints, vectorising, and translating into C, the speed
can be improved dramatically.
For hirola, these constraints are:
Keys must all be of the same predetermined type and size.
The maximum size of a table must be chosen in advance and managed explicitly.
To get any performance boost, operations should be done in bulk.
Elements can not be removed.
If any of the above are not satisfied for your use case then don’t use hirola.