On Feb 19, 2012, at 10:38 AM, Sturla Molden wrote:
Den 19.02.2012 10:52, skrev Mark Wiebe:
C++ removes some of this advantage -- now there is extra code generated by
> the compiler to handle constructors, destructors, operators etc which can
> make a material difference to fast inner loops. S
On Feb 19, 2012, at 2:18 AM, Mark Wiebe wrote:
The suggestion of transitioning the NumPy core code from C to C++ has
sparked a vigorous debate, and I thought I'd start a new thread to give my
perspective on some of the issues raised, and describe how such a
transition could occur.
First, I'd lik
Hello,
I get a segfault here:
In [1]: x = np.array([1,2,3], dtype='M')
In [2]: x.searchsorted(2, side='left')
But it's fine here:
In [1]: x = np.array([1,2,3], dtype='M')
In [2]: x.view('i8').searchsorted(2, side='left')
Out[2]: 1
This segfaults again:
x.view('i8').searchsorted(np.datetime64(
build, in setup.py.
Has anyone had this sort of incompatibility on OSX? Suggestions as to
correct way to deal with it?
Thanks,
Adam
On Mon, Dec 19, 2011 at 1:37 PM, mark florisson
wrote:
>
>> On 19 December 2011 00:04, Adam Klein wrote:
>> > Hi all,
>> >
>>