我正在为 python 程序开发我的第一个 C++ 扩展。我已经尝试调试这段特定的代码几个小时了,但我没有想法。
段错误似乎与传递给 C++ 代码的 PyArrayObject
old_simplices_array
有关。该对象是 uint32
类型的 2d numpy 数组
。
此代码是直接根据 scipy.weave
组合而成的。当代码为 scipy.weave.inline 格式化和使用时,一切正常。这似乎消除了我程序的 python 部分和算法本身成为可能的罪魁祸首。
剩下的只是语法和类型。有没有人看到任何不正确的语法或类型转换代码?
static PyObject* exterior(PyObject* self,
PyArrayObject* old_simplices_array)
{
const short unsigned int step = old_simplices_array->dimensions[1];
const short unsigned int j_max = step - 1;
const long unsigned int col_max =
old_simplices_array->dimensions[0] * step;
short unsigned int j, k, face_index;
long unsigned int col;
unsigned int num_simplices = 0;
PyObject* indices = PyList_New(0);
PyObject* indptr = PyList_New(0);
PyObject* data = PyList_New(0);
PyObject* simplices = PyList_New(0);
PyList_Append(indptr, PyLong_FromLong(0));
PyObject* simplex_to_index = PyDict_New();
for(col = 0; col < col_max; col+=step)
{
for(j = 0; j <= j_max; j++)
{
face_index = 0;
PyObject* face = PyTuple_New(j_max);
for(k = 0; k <= j_max; k++)
{
if(j != k)
{
PyTuple_SetItem(face, face_index,
PyLong_FromLong(old_simplices_array->data[col + k]));
face_index++;
}
}
if(PyDict_Contains(simplex_to_index, face))
{
PyList_Append(indices,
PyDict_GetItem(simplex_to_index, face));
}
else
{
PyDict_SetItem(simplex_to_index, face,
PyLong_FromLong(num_simplices));
PyList_Append(simplices, face);
num_simplices++;
}
PyList_Append(data, PyLong_FromLong(1 - 2 * (j % 2)));
}
PyList_Append(indptr, PyLong_FromLong(col + j));
}
return PyTuple_Pack(3, PyTuple_Pack(3, data, indices, indptr), simplices,
simplex_to_index);
}
-----更新------
gdb 表示
const short unsigned int step = old_simplices_array->dimensions[1];
导致段错误。我是否误用了类型?
-----更新------
尽管 GDB 告诉我,
const short unsigned int step = old_simplices_array->dimensions[1];
导致segfault,如果我在for循环之前从程序返回,我没有segfault(只是python端的错误提示返回NoneType)。
这是完整的回溯:
Program received signal SIGSEGV, Segmentation fault.
exterior (self=<optimized out>, old_simplices_array=0xec0a50)
at src/_alto.cpp:39
warning: Source file is more recent than executable.
39 const short unsigned int step = old_simplices_array->dimensions[1];
(gdb) bt
exterior (self=<optimized out>, old_simplices_array=0xec0a50)
at src/_alto.cpp:39
0x00007ffff7aedad2 in PyEval_EvalFrameEx ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7aeddc9 in PyEval_EvalFrameEx ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7aee902 in PyEval_EvalCodeEx ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7a70ad6 in ?? ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7a4565e in PyObject_Call ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7a53b80 in ?? ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7a4565e in PyObject_Call ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7aaaea0 in ?? ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7aa68bc in ?? ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7a4565e in PyObject_Call ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7ae9bce in PyEval_EvalFrameEx ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7aee902 in PyEval_EvalCodeEx ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7aeea32 in PyEval_EvalCode ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7b103fa in PyRun_FileExFlags ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7b10e3d in PyRun_SimpleFileExFlags ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff7b26972 in Py_Main ()
from /usr/lib/sagemath/local/lib/libpython2.7.so.1.0
0x00007ffff6d29ea5 in __libc_start_main ()
from /lib/x86_64-linux-gnu/libc.so.6
0x00000000004006d1 in _start ()
最佳答案
一般来说,C模块中方法的签名是PyObject* f(PyObject* self, PyObject* args)
,其中args
是用来解析的通过 PyArg_ParseTuple
。您可以在 scipy.weave
生成的代码中看到这一点:http://docs.scipy.org/doc/scipy/reference/tutorial/weave.html#a-quick-look-at-the-code )。除非有一些您没有发布的包装函数为您调用 PyArg_ParseTuple
,否则您的 exterior
方法必须调用它以从泛型中提取 PyArrayObject
PyObject* 参数
。
关于c++ - Numpy C++ 程序总是给出段错误(很可能滥用语法或类型),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/18771282/