On Nov 29, 2006, at 1:09, Travis Oliphant wrote:
> You can
>
> #define PY_SSIZE_T_MIN INT_MIN
> #define PY_SSIZE_T_MAX INT_MAX
>
> before including the NumPy header file and it will by-pass the typedef
> for Py_ssize_t.
Interesting. Is that a test that would work for distinguishing Python
2.5 f
[EMAIL PROTECTED] wrote:
>On 24.11.2006, at 19:04, [EMAIL PROTECTED] wrote:
>
>
>
>>Those who would like to test-drive ScientificPython with NumPy can do
>>so now: just download version 2.7.1 from
>>
>> http://sourcesup.cru.fr/
>>
>>
>
>Version 2.7.2 now, after the first bug fix: it wou
On 24.11.2006, at 19:04, [EMAIL PROTECTED] wrote:
> Those who would like to test-drive ScientificPython with NumPy can do
> so now: just download version 2.7.1 from
>
> http://sourcesup.cru.fr/
Version 2.7.2 now, after the first bug fix: it wouldn't compile with
NumPy and Python < 2.5, be
On 25.11.2006, at 06:17, Sebastian Haase wrote:
> Just out of curiosity: Can I ask what is special about a
> Geometry.Vector ? What is the difference to a normal numpy array ?
1) A Vector always has exactly three elements of type "float".
2) A Vector is immutable.
3) Only addition and substracti
> Hi,
> Just out of curiosity: Can I ask what is special about a
> Geometry.Vector ? What is the difference to a normal numpy array ?
At the time I wrote my code, it was just a convenient 3-vector class.
Most of the functionality is now implemented in numpy so if I was to
rewrite my code, I'd j
Hi,
Just out of curiosity: Can I ask what is special about a
Geometry.Vector ? What is the difference to a normal numpy array ?
I hope this is a good place to as this ?
Thanks, -Sebastian Haase
On 11/24/06, Gary Ruben <[EMAIL PROTECTED]> wrote:
Hi Konrad,
I can report that 2.7.1 installs OK
Hi Konrad,
I can report that 2.7.1 installs OK on WinXP with the most recent
Enthought Python. I used mingw, so replaced the build instruction with
python setup.py build --numpy --compiler=mingw32
All I tried was the Geometry.Vector class which my older code uses
heavily - this behaves well.
rega
Those who would like to test-drive ScientificPython with NumPy can do
so now: just download version 2.7.1 from
http://sourcesup.cru.fr/
and install using
python setup.py build --numpy
python setup.py install --numpy
Note that I have relied on NumPy's automatic code con
