lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.
Lazy evaluation means that any operations on the array (potentially including array construction) are not performed immediately, but are delayed until evaluation is specifically requested. Evaluation of only parts of the array is also possible.
Use of an larray can potentially save considerable computation time and memory in cases where:
- arrays are used conditionally (i.e. there are cases in which the array is never used);
- only parts of an array are used (for example in distributed computation, in which each MPI node operates on a subset of the elements of the array).
It appears that much of this functionality may appear in a future version of NumPy (see this discussion on the numpy-discussion mailing list), but at the time of writing I couldn’t find anything equivalent out there. DistNumPy might also be an alternative for some of the use cases of lazyarray.
The code is released under the Modified BSD licence.