On Sun, May 25, 2008 at 7:44 PM, David Cournapeau <[EMAIL PROTECTED]>
wrote:
> On Sun, May 25, 2008 at 9:04 AM, Charles R Harris
> <[EMAIL PROTECTED]> wrote:
> >
> >
> > I've since renamed generate_array_api to generate_numpy_api which led to
> > some mods in scons_support.py, so you might want to
Thanks for the tips! This is very helpful.
>> Specifically, I have a package that uses numpy and numpy.distutils to
>> built itself. Unfortunately, there are some pure-C libraries that I
>> call using ctypes, and as these libraries are are not python
>> extensions, it is hard to get distutils to
On Sun, May 25, 2008 at 9:04 AM, Charles R Harris
<[EMAIL PROTECTED]> wrote:
>
>
> I've since renamed generate_array_api to generate_numpy_api which led to
> some mods in scons_support.py, so you might want to check that also.
>
Looks OK to me,
thanks,
David
_
On Sun, 2008-05-25 at 11:25 -0400, Zachary Pincus wrote:
> Specifically, I have a package that uses numpy and numpy.distutils to
> built itself. Unfortunately, there are some pure-C libraries that I
> call using ctypes, and as these libraries are are not python
> extensions, it is hard to ge
Hi Stefan & All,
On Sun, May 25, 2008 at 8:59 PM, Stéfan van der Walt wrote:
> Hi Andrea
>
> 2008/5/25 Andrea Gavana <[EMAIL PROTECTED]>:
>>> When you bench the Cython code, you'll have to take out the Python
>>> calls (for checking dtype etc.), otherwise you're comparing apples and
>>> oranges.
On Sun, May 25, 2008 at 3:35 PM, Joshua Lippai <[EMAIL PROTECTED]> wrote:
> I seem to be getting a few errors and failures with the current numpy
> SVN (1.2.0.dev5236). I get this output with numpy.test(1,10):
>
> ERROR: Ticket #396
> ---
I seem to be getting a few errors and failures with the current numpy
SVN (1.2.0.dev5236). I get this output with numpy.test(1,10):
ERROR: Ticket #396
--
Traceback (most recent call last):
File
"/Library/Frameworks/Python.frame
On Sun, May 25, 2008 at 2:29 PM, Robert Kern <[EMAIL PROTECTED]> wrote:
> On Sun, May 25, 2008 at 1:12 PM, Charles R Harris
> <[EMAIL PROTECTED]> wrote:
> > Hi All,
> >
> > Here is the current behavior of the ufuncs and some comments. They don't
> yet
> > cover mixed types for binary functions,
>
On Sun, May 25, 2008 at 2:29 PM, Robert Kern <[EMAIL PROTECTED]> wrote:
> On Sun, May 25, 2008 at 1:12 PM, Charles R Harris
> <[EMAIL PROTECTED]> wrote:
> > Hi All,
> >
> > Here is the current behavior of the ufuncs and some comments. They don't
> yet
> > cover mixed types for binary functions,
>
On Sun, May 25, 2008 at 1:12 PM, Charles R Harris
<[EMAIL PROTECTED]> wrote:
> Hi All,
>
> Here is the current behavior of the ufuncs and some comments. They don't yet
> cover mixed types for binary functions,
> but when they do we will see things like:
>
> In [7]: power(True,10)
> Out[7]:
> array(
On Sun, May 25, 2008 at 1:17 PM, Keith Goodman <[EMAIL PROTECTED]> wrote:
> On Sun, May 25, 2008 at 11:13 AM, Keith Goodman <[EMAIL PROTECTED]> wrote:
x = np.array([1.0])
np.isnan(x)
>> array([False], dtype=bool) # <- Expected
np.isnan(x,x)
>> array([ 0.]) # <- Surprise
2008/5/25 Anne Archibald <[EMAIL PROTECTED]>:
> 2008/5/25 Charles R Harris <[EMAIL PROTECTED]>:
>
>> So, please tell me how numpy is supposed to work. Write as much as you
>> please. If you are so moved, why not write the tests for all 64 ufuncs for
>> all types and combinations and verify that the
On Sun, May 25, 2008 at 12:55 PM, Charles R Harris <
[EMAIL PROTECTED]> wrote:
>
>
> On Sun, May 25, 2008 at 12:42 PM, Pauli Virtanen <[EMAIL PROTECTED]> wrote:
>
>> su, 2008-05-25 kello 12:12 -0600, Charles R Harris kirjoitti:
>> [clip]
>> > 1) Help strings on ufuncs don't work. This seems to be
Hi Andrea
2008/5/25 Andrea Gavana <[EMAIL PROTECTED]>:
>> When you bench the Cython code, you'll have to take out the Python
>> calls (for checking dtype etc.), otherwise you're comparing apples and
>> oranges. After I tweaked it, it ran roughly the same time as
>> Francesc's version. But like I
On Sun, May 25, 2008 at 12:42 PM, Pauli Virtanen <[EMAIL PROTECTED]> wrote:
> su, 2008-05-25 kello 12:12 -0600, Charles R Harris kirjoitti:
> [clip]
> > 1) Help strings on ufuncs don't work. This seems to be a problem with the
> help function, as
> >printing the relevant __doc__ works fine. Th
On Sun, May 25, 2008 at 12:12 PM, Charles R Harris <
[EMAIL PROTECTED]> wrote:
> Hi All,
>
> Here is the current behavior of the ufuncs and some comments. They don't
> yet cover mixed types for binary functions,
> but when they do we will see things like:
>
> In [7]: power(True,10)
> Out[7]:
> arr
su, 2008-05-25 kello 12:12 -0600, Charles R Harris kirjoitti:
[clip]
> 1) Help strings on ufuncs don't work. This seems to be a problem with the
> help function, as
>printing the relevant __doc__ works fine. The docstrings are currently
> defined in
>code_generators/generate_umath.py and
On Sun, May 25, 2008 at 11:30 AM, Anne Archibald <[EMAIL PROTECTED]>
wrote:
> 2008/5/25 Charles R Harris <[EMAIL PROTECTED]>:
>
> > So, please tell me how numpy is supposed to work. Write as much as you
> > please. If you are so moved, why not write the tests for all 64 ufuncs
> for
> > all types
On Sun, May 25, 2008 at 11:38 AM, Jonathan Wright <[EMAIL PROTECTED]> wrote:
> This one comes up in a Java puzzler, but applies equally to numpy.
>
> http://www.youtube.com/watch?v=wDN_EYUvUq0
>
> >>> import numpy, sys
> >>> abs(numpy.array([-sys.maxint-1],numpy.int)) > 0
> array([False], dtype=
On Sun, May 25, 2008 at 11:13 AM, Keith Goodman <[EMAIL PROTECTED]> wrote:
>>> x = np.array([1.0])
>>> np.isnan(x)
> array([False], dtype=bool) # <- Expected
>>> np.isnan(x,x)
> array([ 0.]) # <- Surprise (to me)
I guess this is not surprising since I'm asking isnan to put the
answer
>> x = np.array([1.0])
>> np.isnan(x)
array([False], dtype=bool) # <- Expected
>> np.isnan(x,x)
array([ 0.]) # <- Surprise (to me)
The same happens with isfinite, isinf, etc.
My use case (self.x is an array):
def isnan(self):
y = self.copy()
np.isnan(y.x, y.x)
Hi All,
Here is the current behavior of the ufuncs and some comments. They don't yet
cover mixed types for binary functions,
but when they do we will see things like:
In [7]: power(True,10)
Out[7]:
array([ 0.5822807 , 0.66568381, 0.11748811, 0.97047323, 0.60095205,
0.81218886, 0.0167
This one comes up in a Java puzzler, but applies equally to numpy.
http://www.youtube.com/watch?v=wDN_EYUvUq0
>>> import numpy, sys
>>> abs(numpy.array([-sys.maxint-1],numpy.int)) > 0
array([False], dtype=bool)
>>> abs(numpy.array([-129,-128,-127],numpy.int8)) > 0
array([ True, False, True],
2008/5/25 Charles R Harris <[EMAIL PROTECTED]>:
> So, please tell me how numpy is supposed to work. Write as much as you
> please. If you are so moved, why not write the tests for all 64 ufuncs for
> all types and combinations and verify that they are all correct as specified
> and raise errors wh
Hello all,
I've been following David's work making numpy build with scons with
some interest. I have a quick question about how one might use scons/
numpy distutils from an outside project.
Specifically, I have a package that uses numpy and numpy.distutils to
built itself. Unfortunately, the
Robert Kern wrote:
>
> Can you be more specific?
Sure: in my branch to refactor fftpack, every non default backend (that
is everything but fftpack) is a separate python module, which implements
some fft functions, and is 'importable'.
So in scipy.fftpack, I have a function which:
- tries t
On Sun, May 25, 2008 at 4:28 AM, David Cournapeau
<[EMAIL PROTECTED]> wrote:
> Hi,
>
>This is not numpy specific, but I need it for numpy/scipy. More
> specifically, I would like to be able to have one module interface which
> load imp1, imp2, imp3, etc... depending on some options.
Can you be
Hi,
This is not numpy specific, but I need it for numpy/scipy. More
specifically, I would like to be able to have one module interface which
load imp1, imp2, imp3, etc... depending on some options. I see two
obvious solutions: monkey patching, and file configuration, but I try to
avoid
Hi Stefan & All,
On Sat, May 24, 2008 at 8:11 PM, Stéfan van der Walt wrote:
> Hi Andrea
>
> 2008/5/24 Andrea Gavana <[EMAIL PROTECTED]>:
>> Number Of Cells: 5
>> -
>> | Rank | Method Name | Exe
On Sun, May 25, 2008 at 12:56 AM, Charles R Harris
<[EMAIL PROTECTED]> wrote:
> ? bool
> b signed char
> h short
> i integer
> l long integer
> q long long integer
> p p
> B unsigned char
> H unsigned short
> I unsigned integer
> L unsigned long integer
> Q unsigned long long integer
> P P ---
On Sat, May 24, 2008 at 11:14 PM, Charles R Harris
<[EMAIL PROTECTED]> wrote:
> It used to be stay in type and has been changed, and I don't disagree with
> that, it was discussed on the list. Nevertheless, booleans are different,
> both their own kind and integers. But my problem is not convenien
31 matches
Mail list logo
