SparseVector has list semantics, docs imply numpy.array semantics

[jfine2358]

The source file says

A "sparse vector" is basically a 1D numpy.ndarray

I read this to imply that the semantics for + and * are those of a numpy.array. However, the semantics seem to be those of a list.

By the way, for my application I want numpy.array semantics.

>>> from numpy import array as na
>>> from sparse_vector import SparseVector as sv

>>> na(range(3))  + 2
array([2, 3, 4])
>>> sv(range(3))  + 2
Traceback (most recent call last):
TypeError: 'int' object is not iterable

>>> na(range(3))  * 2
array([0, 2, 4])
>>> sv(range(3))  * 2
[0.0, 1.0, 2.0, 0.0, 1.0, 2.0]

[Goutte]

You're correct !

But this lib has not achieved the efficiency it requires to be pertinent, so I'm archiving it.

Thanks for the issue, and sorry for not responding sooner (did not see).