包装一个函数,该函数使用ctypes返回指向python对象的指针

时间:2011-01-17 18:21:09

标签: python numpy ctypes cython

我有一些编译C函数的代码,使用PyUFunc_FromFuncAndData创建一个numpy泛型函数。我已经写了一些cython来创建ufunc,但是如果可能的话我想用ctypes来做,因为我打算分发它,我想避免用户编译步骤。

问题是PyUFunc_FromFuncAndData返回一个指向PyObject的指针。是否可以将它用作python代码中的对象?

基本上,我希望能够将以下cython代码翻译成python / ctypes:

from numpy cimport NPY_DOUBLE
from libc.stdlib cimport malloc, free

cdef extern from "numpy/ufuncobject.h":
    ctypedef void (*PyUFuncGenericFunction) (char **, Py_ssize_t *, Py_ssize_t *, void *)
    object PyUFunc_FromFuncAndData (PyUFuncGenericFunction *, void **, char *, int, int, int, int, char *, char *, int)
    void import_ufunc()

import_ufunc()


cdef class UFuncWrapper:

    cdef readonly object func
    cdef object _llvm_func
    cdef PyUFuncGenericFunction function
    cdef char *types
    cdef bytes name

    def __init__(self, func, ufunc, long long ptr):
        self._llvm_func = ufunc # keep a ref to prevent it from being gced
        cdef int num_args = len(func.args)
        self.types = <char*>malloc(sizeof(char)*(num_args+1))
        self.name = func.name
        cdef int i
        for i in range(num_args+1):
            self.types[i] = NPY_DOUBLE
        self.function = <PyUFuncGenericFunction>ptr
        self.func = PyUFunc_FromFuncAndData(
            &self.function,
            NULL,
            self.types,
            1,  #ntypes
            num_args,
            1,
            -1, # PyUFunc_None,
            self.name,
            self.name,   #FIXME: __doc__
            0)

    def __dealloc__(self):
        free(self.types)

    def __call__(self, *args):
        return self.func(*args)

1 个答案:

答案 0 :(得分:3)

将该函数的重新类型设置为ctypes.py_object。下面的示例使用对python C-API的调用,但它对其他任何内容都是一样的。

import ctypes
class Foo(object):
    bar='baz'

foo=ctypes.py_object(Foo)
print 'Memory adress of Foo.bar object:',
print ctypes.pythonapi.PyObject_GetAttrString(foo,'bar') # prints the pointer

ctypes.pythonapi.PyObject_GetAttrString.restype = ctypes.py_object

print 'Actual Foo.bar after we set restype correctly:', 
print ctypes.pythonapi.PyObject_GetAttrString(foo,'bar') # prints "baz"