[Numpy-discussion] strange runtimes of numpy fft

[Henry Gomersall]

On 19/11/13 17:52, Nathaniel Smith wrote:
> On Tue, Nov 19, 2013 at 9:17 AM, Henry Gomersall<heng at cantab.net>  wrote:
>> >On 19/11/13 16:08, Stéfan van der Walt wrote:
>>> >>On Tue, Nov 19, 2013 at 6:03 PM, Henry Gomersall<heng at cantab.net>   wrote:
>>>>> >>> >However, FFTW is dual licensed GPL/commercial and so the wrappers are
>>>>> >>> >also GPL by necessity.
>>> >>I'm not sure if that is true, strictly speaking--you may license your
>>> >>wrapper code under any license you wish.  It's just that it becomes
>>> >>confusing when the combined work then has to be released under GPL.
>> >
>> >This is on shaky GPL ground. I'm inclined to agree with you, but given
>> >any usage necessarily has to link against the FFTW libs, any resultant
>> >redistribution is going to be GPL by necessity. I.e. pyFFTW is useless
>> >without FFTW so it's just simpler to make it GPL for the time being.
> The case where it makes a difference is when someone has purchased a
> commercial license to FFTW and then wants to use it from their
> proprietary Python application.

Yes, this didn't occur to me as an option, mostly because I'm keen for a 
commercial FFTW license myself and it would gall me somewhat if I 
couldn't gain the same benefit from my own code as others.

So, given that, if anyone has an FFTW license and is keen for decent 
Python wrappers, I'd be more than happy to discuss a sub-license to FFTW 
in exchange for a more liberal (say MIT) license for pyFFTW.

Cheers,

Henry