On Oct 29, 2011, at 7:24 PM, Eric Firing wrote:
On 10/29/2011 12:57 PM, Charles R Harris wrote:
On Sat, Oct 29, 2011 at 4:47 PM, Eric Firing efir...@hawaii.edu
mailto:efir...@hawaii.edu wrote:
On 10/29/2011 12:02 PM, Olivier Delalleau wrote:
I haven't been following the
Hi,
On Sat, Oct 29, 2011 at 10:02 PM, Travis Oliphant
oliph...@enthought.com wrote:
Here are my needs:
1) How NAs are implemented cannot be end user visible. Having to pass
maskna=True is a problem. I suppose a solution is to set the flag to
true on every array inside of pandas so the user
Hi,
On Sat, Oct 29, 2011 at 11:19 PM, Travis Oliphant
oliph...@enthought.com wrote:
Thanks again for your email, I'm sure I'm not the only one who
breathes a deep sigh of relief when I see your posts.
I appreciate Nathaniel's idea to pull the changes and I can respect his
desire to do that.
A quick and dirty cython code is attached
Use:
import Float128
a = Float128.Float128('1E500')
array([ 1e+500], dtype=float128)
or
b = np.float128(1.34) * np.float128(10)**2500
b
1.3400779e+2500
Maybe there is also a way to do it in a pure python code via ctypes?
Nadav
Matthew Brett matthew.br...@gmail.com writes:
Hi,
Can anyone think of a good way to set a float128 value to an
arbitrarily large number?
As in
v = int_to_float128(some_value)
?
I'm trying things like
v = np.float128(2**64+2)
but, because (in other threads) the float128 seems to be
Hi,
On Sun, Oct 30, 2011 at 2:38 AM, Berthold Höllmann
berth...@xn--hllmanns-n4a.de wrote:
Matthew Brett matthew.br...@gmail.com writes:
Hi,
Can anyone think of a good way to set a float128 value to an
arbitrarily large number?
As in
v = int_to_float128(some_value)
?
I'm trying
On Thu, Oct 27, 2011 at 5:19 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Hi David,
On Thu, Oct 27, 2011 at 3:02 PM, David Cournapeau courn...@gmail.com
wrote:
Hi,
I was wondering if we could finally move to a more recent version of
compilers for official win32 installers. This
Hi,
While testing the mingw gcc 3.x - 4.x migration, I realized that some
technical requirements in gcc 4.x have potential license implications.
In short, it is more difficult now than before to statically link
gcc-related runtimes into numpy/scipy. I think using the DLL is safer
and better, but
Hi David,
Is every GPL part GCC related? If yes, GCC has a licence that allows to
redistribute its runtime in any program (meaning the program's licence is
not relevant).
Cheers,
Matthieu
2011/10/30 David Cournapeau courn...@gmail.com
Hi,
While testing the mingw gcc 3.x - 4.x migration, I
On Sun, Oct 30, 2011 at 11:38 AM, Matthieu Brucher
matthieu.bruc...@gmail.com wrote:
Hi David,
Is every GPL part GCC related? If yes, GCC has a licence that allows to
redistribute its runtime in any program (meaning the program's licence is
not relevant).
Good point, I should have specified
On 10/29/11 2:48 PM, Ralf Gommers wrote:
That's true, but I am hoping that the difference between - say:
a[0:2] = np.NA
and
a.mask[0:2] = False
would be easy enough to imagine.
It is in this case. I agree the explicit ``a.mask`` is clearer.
Interesting -- I
On 10/29/11 2:59 PM, Charles R Harris wrote:
I'm much opposed to ripping the current code out. It isn't like it is
(known to be) buggy, nor has anyone made the case that it isn't a basis
on which build other options. It also smacks of gratuitous violence
committed by someone yet to make a
On Sat, Oct 29, 2011 at 11:55 PM, Matthew Brett matthew.br...@gmail.comwrote:
Hi,
On Sat, Oct 29, 2011 at 2:48 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Sat, Oct 29, 2011 at 11:36 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
On Sat, Oct 29, 2011 at 1:48
Hi,
On Sun, Oct 30, 2011 at 11:37 AM, Chris Barker chris.bar...@noaa.gov wrote:
On 10/29/11 2:59 PM, Charles R Harris wrote:
I'm much opposed to ripping the current code out. It isn't like it is
(known to be) buggy, nor has anyone made the case that it isn't a basis
on which build other
Hi,
On Sun, Oct 30, 2011 at 12:24 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Sat, Oct 29, 2011 at 11:55 PM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
On Sat, Oct 29, 2011 at 2:48 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Sat, Oct 29, 2011 at 11:36
Hello,
First, I'd like to report a bug. It seems ndarray does not implement
tp_traverse or tp_clear, so if you have a reference cycle in an
ndarray with dtype object none of those objects will ever be
collected.
Secondly, please bear with me, I'm not a NumPy expert, but would it be
possible to
30.10.2011 21:48, mark florisson kirjoitti:
First, I'd like to report a bug. It seems ndarray does not implement
tp_traverse or tp_clear, so if you have a reference cycle in an
ndarray with dtype object none of those objects will ever be
collected.
Indeed, this is missing.
On Sun, Oct 30, 2011 at 7:18 AM, David Cournapeau courn...@gmail.com wrote:
On Thu, Oct 27, 2011 at 5:19 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Hi David,
On Thu, Oct 27, 2011 at 3:02 PM, David Cournapeau courn...@gmail.com
wrote:
Hi,
I was wondering if we could finally move
hi,
i have installed numpy (1.6.0) and scipy (0.9). , nose version is 1.0
i have intel cluster toolkit installed on my system. (11/069 version and
mkl 10.3). i have machine having intel xeon processor and rhel 5.2 x86_64
platform. i have installed it with intel compilers.
when i execute
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