Here is a summary of what I did with numpy and the dll
I have verified that the values entering the last dll call (dl.cfunction) are
identical across platforms.
The c function has a signature as follows:
int cfunction(int len_data, float* data, int* ac, int num_ac,
int flag1, int
The c function has a signature as follows:
int cfun(int len_data, float* data, int* a, int num_a,
int flag1, int flag2, int flag3, float* param,
float* out1, float* out2, float* out3)
and in python:
import numpy as np
import ctypes as ct
data = np.atleast_2d(np.float32(data
On Wed, May 25, 2016 at 2:32 AM, Steven D'Aprano wrote:
> On Wed, 25 May 2016 02:18 am, Siyi Deng wrote:
>
>> Hello ChrisA,
>> I don't quite understand, the binary shared library contains no python
>> interfaces, it should be independent of python.
>
> In your first post, you said you were using n
On Wed, 25 May 2016 02:18 am, Siyi Deng wrote:
> Hello ChrisA,
> I don't quite understand, the binary shared library contains no python
> interfaces, it should be independent of python.
In your first post, you said you were using numpy. How is that independent
of Python?
> As a matter of fact,
On Wed, May 25, 2016 at 2:18 AM, Siyi Deng wrote:
> I don't quite understand, the binary shared library contains no python
> interfaces, it should be independent of python. As a matter of fact, I have
> successfully used it in Conda python 2.7, 3.5, Julialang as well as c++
> executables. I th
Hello ChrisA,
I don't quite understand, the binary shared library contains no python
interfaces, it should be independent of python. As a matter of fact, I have
successfully used it in Conda python 2.7, 3.5, Julialang as well as c++
executables. I think the fact that only stock python 2.7 faile
On Tue, May 24, 2016 at 5:15 PM, Siyi Deng wrote:
> Thanks for all the replies.
>
> It turned out that the Apple OS X stock python 2.7 gives the wrong results,
> but other distributions like 2.7 from miniconda gives the correct results.
> Facepalm.
When you use a binary shared library, it has t
Thanks for all the replies.
It turned out that the Apple OS X stock python 2.7 gives the wrong results, but
other distributions like 2.7 from miniconda gives the correct results. Facepalm.
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On Monday 23 May 2016 13:15, Siyi Deng wrote:
> I have a dynamic library doing some numerical computations.
>
> I used ctypes to interact it by passing numpy arrays back and forth.
>
> Python 3.5 gives me the correct results.
>
> Python 2.7 gives me different, erroneous results, but it never cr
On 05/23/2016 05:15 AM, Siyi Deng wrote:
I have a dynamic library doing some numerical computations.
I used ctypes to interact it by passing numpy arrays back and forth.
Python 3.5 gives me the correct results.
Python 2.7 gives me different, erroneous results, but it never crashes.
How is this po
I have a dynamic library doing some numerical computations.
I used ctypes to interact it by passing numpy arrays back and forth.
Python 3.5 gives me the correct results.
Python 2.7 gives me different, erroneous results, but it never crashes.
How is this possible? There is no string operatio
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