Hi, On Thu, Mar 27, 2014 at 12:10 PM, Matthew Brett <[email protected]> wrote: > Hi, > > On Thu, Mar 27, 2014 at 3:18 AM, Robert Kern <[email protected]> wrote: >> On Thu, Mar 27, 2014 at 12:29 AM, Matthew Brett <[email protected]> >> wrote: >>> Hi, >>> >>> On Wed, Mar 26, 2014 at 4:48 PM, Matthew Brett <[email protected]> >>> wrote: >>>> Hi, >>>> >>>> Can I check what is stopping us building official numpy binary wheels >>>> for Windows using the Intel Math Kernel Library? >>>> >>>> * We'd need developer licenses, but those sound like they would be >>>> easy to come by >>>> * We'd have to add something to the license for the wheel on the lines >>>> of the Canopy license [1], derived from the MKL license [2] - is that >>>> a problem? >>>> >>>> Are there other problems for numpy? >>> >>> Talking with Fernando, we identified these as being the key problem >>> clauses in the MKL license [1]: >>> >>> <start quote> >>> D. DISTRIBUTION: Distribution of the Redistributables is also subject >>> to the following limitations: >>> [snipped clauses] >>> (iv) shall use a license agreement >>> that prohibits disassembly and reverse engineering of the >>> Redistributables, (v) shall indemnify, hold >>> harmless, and defend Intel and its suppliers from and against any >>> claims or lawsuits, including >>> attorney's fees, that arise or result from your distribution of any product. >>> </end quote> >>> >>> The first is a problem that might conceivably be adequately solved by >>> adding a paragraph to the Pypi page for numpy ("If you download and >>> install the windows binaries, you also agree... ") and copying a new >>> clause into the license in the installed tree. Maybe. The second >>> looks like it would be very hard to deal with for open source project >>> like us.... >> >> It would be confusing to distribute these non-BSD wheels on the same >> PyPI page that declares most prominently that numpy is BSD-licensed. >> Adding some text elsewhere on the PyPI page is not going to help very >> much: people look at the "License: BSD" first and foremost. Nothing >> stops anyone else from building and distributing MKL-built binaries, a >> la C. Gohlke, but I don't think it is wise to do so on the PyPI page. > > Can you see any circumstances in which we could use the MKL binaries from > pypi?
Christoph - have you considered building binary wheels for the projects you support? If not, is there any help I / we can give? Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
