Error when building from git

[Tony Yu]

2012/2/11 Stéfan van der Walt <stefan at sun.ac.za>

> Hi Emmanuelle
>
> On Fri, Feb 10, 2012 at 10:58 AM, Emmanuelle Gouillart
> <emmanuelle.gouillart at nsup.org> wrote:
> > isn't it possible to test which version of numpy is used, and remove
> > float16 from the list if numpy.__version__ < 1.6? It looks like a small
> > cost in order to be be able to support numpy 1.5. I can do the change if
> > there is no opposition to this.
>
> If we can stay compatible with 1.5 with minor changes, that's probably
> worth it.  Can you also check the dtype conversion code to make sure
> it all works? (Running the unit tests should be enough of an
> indication)
>

I'd be in favor of supporting numpy 1.5. Just note that the `convert`
function uses `np.promote_types`, which is also new to numpy 1.6.

-Tony

> As I see things, it would be great if people could use skimage with the
> > dependencies provided by a recent version of Ubuntu, say the most recent
> > LTS, or the latest release of Ubuntu. We will lose many users if they
> > have to install a new numpy (which also means that they will have to
> > install non-packaged matplolib, and scipy). If you disagree with this
> > philosophy, please tell me :-).
>
> I understand the challenges of running on an older platform, but I
> also wonder: if a user can recompile scikits-image, what's stopping
> them from also building the latest (stable) numpy?  I certainly have
> the expectation that software should run with the available stable
> versions of dependencies on the date of release.  That said, any
> benefit we can get with little effort is worth it, and there's no
> reason to purposefully make it harder for users than need be.  So
> please, keep the PRs coming for backwards compatibility, as long as
> they are not too disruptive.
>
> Regards
> Stéfan
>
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