Hi there,
A quick email to give an update on my work to build numpy with
scons. I've finished a few days ago to make my former work a separate
package from numpy: it was more work than I expected because of
bootstrapping issues, but I can now build numpy again with the new
package on
Charles R Harris wrote:
OK, so far I've knocked it down to 35KB by removing stuff I'm not
interested in. It is now smaller than Cog, and 7x larger than the file
we now use to do the same job. I'm pretty sure I can make it leaner than
that. It remains extensible.
Can you put a tarball up
On Jan 12, 2008 4:12 AM, Robert Kern [EMAIL PROTECTED] wrote:
Charles R Harris wrote:
OK, so far I've knocked it down to 35KB by removing stuff I'm not
interested in. It is now smaller than Cog, and 7x larger than the file
we now use to do the same job. I'm pretty sure I can make it leaner
On Jan 12, 1:36 am, Timothy Hochberg [EMAIL PROTECTED] wrote:
I believe that you need to look at __array_finalize__ and __array_priority__
(and there may be one other thing as well, I can't remember; it's late).
Search for __array_finalize__ and that will probably help get you started.
Well
Basilisk96 wrote:
On Jan 12, 1:36 am, Timothy Hochberg [EMAIL PROTECTED] wrote:
I believe that you need to look at __array_finalize__ and __array_priority__
(and there may be one other thing as well, I can't remember; it's late).
Search for __array_finalize__ and that will probably help get
Thanks Stefan and Colin,
The subclass documentation made this a little clearer now. Instead of
using a super() call in __new__, I now do this:
#construct a matrix based on the input
ret = _N.matrix(data, dtype=dtype)
#promote it to Vector
ret = ret.view(cls)
The second statement
