intdict is a high performance integer -> PyObject data structure
intended for mapping 64 bit integers such as what might be returned by
hash or id to a Python object.
pip install intdict
>>> from intdict import intdict
>>> d = intdict()
>>> d[1] = 'one'
>>> d[2] = 'two'
>>> d[1]
'one'
>>> d[3]
KeyError
You may also preallocate intdict objects to a specific size for even
better performance.
>>> d = intdict(10000)
intdict stores all signed 64 bit integers except for the value of
-1. This happens to also be exactly the range of the hash function
on a 64 bit machine and a superset of the range of values id can
return.
If you can live within intdict's mild restrictions, here are the
performance numbers you can enjoy. These timings were taken from an
Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz running Ubuntu 15.04.
Storing 1,000,000 sequential numbers
| Dict type | Seconds | Memory |
|---|---|---|
| dict | 15.3 | 1,153Mb |
| int dict | 1.3 | 773Mb |
| prealloced | 0.3 | 773Mb |
Storing 1,000,000 random numbers
| Dict type | Seconds | Memory |
|---|---|---|
| dict | 3 | 1,234Mb |
| intdict | 1.5 | 854Mb |
| prealloced | 1.3 | 854Mb |