Hello Will,
Congratulations!
It may be still too early - but a useful test for Ironclad might be to get
matplotlib to import and generate a simple chart.
That would require being able to import numpy *and* PIL (so would exercise
Ironclad fairly thoroughly) and allow you to do something practical with it.
Michael
2008/8/21 William Reade <[EMAIL PROTECTED]>
> (Cross-posted from the c-extensions-for-ironpython google group -- I
> thought a few people here might be interested too :))
>
> Hi all
>
> Our original goal for 0.5 was to import numpy, from IronPython, and do
> something with it. With one monstrous caveat, we have reached that goal; the
> problem is that you need to comment out line 532 of
> numpy.core.numerictypes.py before it'll import. That line reads
> "_unicodesize = array('u','U1').itemsize", and fails trying to construct a
> unicode array; however, since _unicodesize appears to be unreferenced, we
> feel reasonably comfortable ignoring it for now.
>
> Once numpy is imported, you can create integer arrays and do a few things
> with them; of course, the number of things you can do is still dwarfed by
> the number of things you can't do. You can add, subtract and multiply
> integer arrays, and raise them to integer powers... and that's about it.
>
> We will continue to work on numpy; immediate goals include getting
> floating-point arrays to print out as numbers instead of NaNs, hooking up
> the many missing PyTypeObject fields, and implementing more API functions as
> we encounter them. I don't have a very clear goal in mind for v0.6 as yet;
> making floating-point arrays work properly is obviously critical, but
> further steps are not yet clear. If anyone is
> particularly keen to start using numpy with IronPython, please get in
> touch; I'm keen to know what you want to do with it, so I can focus on
> features I know are valuable :).
>
> Best
> William
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