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Python Ctypes崩溃调用C ++函数的C包装器

[英]Python Ctypes Crashes Calling C wrapper of C++ function

I am trying to use Python Ctypes to interface a published (closed source) C++ library. 我正在尝试使用Python Ctypes来连接已发布的(闭源)C ++库。 I (tried) wrote a basic C style function wrapper to construct the C++ vector style objects and call the C++ routine. 我(试过)编写了一个基本的C风格函数包装器来构造C ++向量样式对象并调用C ++例程。 I also (tried) wrote a basic python script to load the shared library. 我也(试过)写了一个基本的python脚本来加载共享库。 Everything is working except the line that calls the C++ routine which yields: 一切正常,除了调用C ++例程的行,产生:

*** glibc detected *** python: free(): invalid next size (fast): 0x0000000001e73c00 ***

Here are the files, unfortunately I cannot share headers, but I may be able to write something similar if need be... 以下是文件,遗憾的是我无法共享标题,但如果需要,我可能会写类似的内容......

gaumixmod.cpp: 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: 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)

and I compile this jazz with: 我用以下内容编译这个爵士乐:

g++ -fPIC -c gaumixmod.cpp;
g++ -shared -o gaumixmod.so gaumixmod.o

and run 并运行

python gaumixmod.py

My research indicates this error is something akin to a segFault, where python is trying to reach a memory outside its scope... This is the part I don't understand because commenting out the C++ line Gaumixmod::Gaumixmod(), everything works fine, and that routine should be operating on the vectors instantiated in the cGaumixmod() function, not the python numpy arrays. 我的研究表明这个错误类似于segFault,其中python试图到达其范围之外的内存......这是我不理解的部分,因为注释掉C ++行Gaumixmod :: Gaumixmod(),一切正常很好,那个例程应该在cGaumixmod()函数中实例化的向量上运行,而不是python numpy数组。 I am really unfamiliar with C++, although I have used C types many times for C libraries. 我真的不熟悉C ++,虽然我已经多次使用C类型的C库。 I am hoping that someone with some C++,python,and ctypes experience can give some insight/guidance here. 我希望拥有一些C ++,python和ctypes经验的人可以在这里提供一些见解/指导。

Thanks! 谢谢!

There is a new library for interfacing with C, you might what to look at it: 有一个用于与C接口的新库,您可以查看它:

http://cffi.readthedocs.org/en/latest/index.html http://cffi.readthedocs.org/en/latest/index.html

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