Oh wow, I just assumed that `dot` was a ufunc... However, it would still be
useful to have ufuncs working well with the sparse package. I don't
understand everything that is going on in
https://github.com/numpy/numpy/blob/master/numpy/core/src/umath/ufunc_object.c
But I assumed that I would be
On 1 May 2013 20:12, Blake Griffith blake.a.griff...@gmail.com wrote:
However, it would still be useful to have ufuncs working well with the
sparse package.
How are you planning to deal with ufunc(0) != 0? cos(sparse) is actually dense.
___
There are several situations where that comes up (Like comparing two sparse
matrices A == B) There is a SparseEfficiancyWarning that can be thrown, but
the way this should be implemented still needs to be discussed. I will be
writing a specification on how ufuncs and ndarrays are handled by the
Hello, I'm writing a GSoC proposal, mostly concerning SciPy, but it
involves a few changes to NumPy.
The proposal is titled: Improvements to the sparse package of Scipy:
support for bool dtype and better interaction with NumPy
and can be found on my GitHub:
On Tue, Apr 30, 2013 at 3:19 PM, Blake Griffith
blake.a.griff...@gmail.com wrote:
Hello, I'm writing a GSoC proposal, mostly concerning SciPy, but it involves
a few changes to NumPy.
The proposal is titled: Improvements to the sparse package of Scipy: support
for bool dtype and better
On Tue, Apr 30, 2013 at 1:37 PM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Apr 30, 2013 at 3:19 PM, Blake Griffith
blake.a.griff...@gmail.com wrote:
Hello, I'm writing a GSoC proposal, mostly concerning SciPy, but it
involves
a few changes to NumPy.
The proposal is titled:
30.04.2013 22:37, Nathaniel Smith kirjoitti:
[clip]
How do you plan to go about this? The obvious option of just calling
scipy.sparse.issparse() on ufunc entry raises some problems, since
numpy can't depend on or even import scipy, and we might be reluctant
to add such a special case for
On Tue, Apr 30, 2013 at 4:02 PM, Pauli Virtanen p...@iki.fi wrote:
30.04.2013 22:37, Nathaniel Smith kirjoitti:
[clip]
How do you plan to go about this? The obvious option of just calling
scipy.sparse.issparse() on ufunc entry raises some problems, since
numpy can't depend on or even import
