我正在尝试使用Python Ctypes来连接一个已发布的(闭源) C++库。我(尝试)编写了一个基本的C风格函数包装器来构造C++向量风格对象并调用C++例程。我还(尝试)编写了一个基本的python脚本来加载共享库。除了调用C++例程的那行代码之外,一切都正常,这会产生以下结果:
*** glibc detected *** python: free(): invalid next size (fast): 0x0000000001e73c00 ***这里是文件,不幸的是我不能分享标题,但我可以写一些类似的东西,如果需要的话…
gaumixmod.cpp:
#include "nr3.h"
#include "cholesky.h"
#include "gaumixmod.h"
extern "C" {
void cGaumixmod(double* D, int Dm, int Dn, double* M, int Mm, int Mn) {
MatDoub ddata(Dm,Dn,*D); // construct Matrix (vector) type
MatDoub mmeans(Mm,Mn,*M); // construct Matrix (vector) type
//XXX test numpy array is coming through as C array and we can rw, checks OK
int i;
// for(i=0;i<Dn*Dm;++i) {
// printf("Address %x : ",(D+i));
// printf("was %f \t" , D[i]);
// D[i]+=1.0;
// printf("now: %f \n" , D[i]);
// }
// check that array D was copied to matrix ddata, and we can r/w
for(i=0;i<Dm*Dn;++i) {
printf("iter %d Address %x : ",i,ddata[i/Dm][i%Dm]);
printf("was %f \t" , ddata[i/Dm][i%Dm]);
ddata[i/Dm][i%Dm]+=1.0;
printf("now: %f \n" ,ddata[i/Dm][i%Dm]);
}
Gaumixmod::Gaumixmod(ddata,mmeans);
//return data from vector to ctypes array C so we can check data returns to python
//via numpy array, checks ok
for(i=0;i<Dm*Dn;++i) {
D[i] = ddata[i/Dm][i%Dm];
}
}
}goumixmod.py:
import platform,ctypes
import numpy as np
# ------------------------------------------------------------------------
# define correct library from platfrom, assuming 64bit for linux machines
# ------------------------------------------------------------------------
if platform.system()=='Microsoft':
raise Exception('MS not supported.')
elif platform.system()=='Darwin':
libgaumixmod = ctypes.cdll.LoadLibrary("./gaumixmod.so")
elif platform.system()=='Linux':
libgaumixmod = ctypes.cdll.LoadLibrary("./gaumixmod.so")
else:
#hope for the best
libgaumixmod = ctypes.cdll.LoadLibrary("./gaumixmod.so")
# --------------------------------------------------
# define SafeCall
#---------------------------------------------------
def SafeCall(ret):
"""pass, code l8r""
print ret
#---------------------------------------------------
# define arg types and res types of function
# -----------------------------------------------------------------------
_gaumixmod = libgaumixmod.cGaumixmod
_gaumixmod.restype = ctypes.c_int
_gaumixmod.argtypes = [np.ctypeslib.ndpointer(dtype=np.float64,flags='C_CONTIGUOUS'),
ctypes.c_int,
ctypes.c_int,
np.ctypeslib.ndpointer(dtype=np.float64,flags='C_CONTIGUOUS'),
ctypes.c_int,
ctypes.c_int]
def gaumixmod(D,K):
"""Python binding for C++ guassian mixure model code."""
ret = _gaumixmod(D,D.shape[0],D.shape[1],K,K.shape[0],K.shape[1])
SafeCall(ret)
return D,K
D = np.ones((100,100)).astype(np.float64)
K = np.ones((4,1)).astype(np.float64)
print gaumixmod(D,K)我用以下命令编译这段jazz:
g++ -fPIC -c gaumixmod.cpp;
g++ -shared -o gaumixmod.so gaumixmod.o然后运行
python gaumixmod.py我的研究表明,这个错误类似于segFault,python试图到达其作用域之外的内存...这是我不理解的部分,因为注释掉C++行Gaumixmod::Gaumixmod(),一切都很好,该例程应该操作在cGaumixmod()函数中实例化的向量,而不是python numpy数组。我真的不熟悉C++,尽管我在C库中使用过很多次C类型。我希望有一些C++、python和ctypes经验的人可以在这里给出一些见解/指导。
谢谢!
发布于 2012-08-01 04:40:02
有一个新的与C语言接口的库,你可能会怎么看它:
http://cffi.readthedocs.org/en/latest/index.html
https://stackoverflow.com/questions/11056978
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