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? Cheers, Matthew _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
