使用C扩展Python
- PyErr_*()函数是将一个异常对象压入到Python解释器的异常栈中
- PyErr_Clear()函数是将Python异常栈中栈顶的元素弹出, 调用这个函数通常就相当于在Python程序中的try: except: 语句中except的作用
- Python中的API, 每一个模块对应的API是PyMODNAME_FUNCINMOD()
- Python扩展模块的函数模板:
// First
static PyObject *exfunc(PyObject *self, PyObject *args) {
...
// Get parameters
/*
Return 0 means an exception has been raised, you need to stop your program and rreturn NULL
According to the official:
It returns NULL (the error indicator for functions returning object pointers) if an error is detected in the argument list
*/
if (!PyArgs_ParseTuple(args, "format_string", &the_addr_of_c_variables)) {
return NULL;
}
/*
In this area, if you fail to call an user-defined function, what you are expected to do is call Python
Exception API such as PyErr_SetString(PyExc_Type, "Exc_Info") to put an Exception Object in the Exception
Stack in Python.
*/
...
}
// Second
// This is `method table`
static PyMethodDef exfunc[] = {
/*
{NULL, NULL, 0, NULL} is the symbol of the end of PyMethodDef array, Python Interpretor will stop walking
this PyMethodDef array when meeting it.
*/
/*
According to the official:
When using only METH_VARARGS, the function should expect the Python-level parameters to be passed in as a tuple
acceptable for parsing via PyArg_ParseTuple()
*/
{"MethodName", your_func_pointer, METH_VARGS or METH_VARGS | METH_KEYWORDS, "Documents here"},
{NULL, NULL, 0, NULL}
};
// Third
static struct PyModuleDef exmodule = {
PyMODULEDEF_HEAD_INIT
"name",
"doc",
size,
exfunc,
};
// Fourth
/*
Actually, what Python Interpretor will call is the PyInit_*() function, so that will be entry to your
extensional C module
*/
PyMODINIT_FUNC PyInit_exmodule {
// PyModule_Init("ModuleName", &module_def);
PyObject *m;
/*
When create an module object, an array of methods is need, but this rest is the history,
there are classes, exceptions and so on existing in a module, so if you want to add something
into a module, just use PyModule_AddObject() API like `PyErr_NewException("spam.error", NULL, NULL);`
this will create a base exception implementing Exception
*/
m = PyModule_Create(&the_addr_of_PyModuleDef_array);
if (!m) {
return NULL;
}
}
/*******************************************************************************************************/
// In Python 2.x, the third and fourth are different of Python3.x
// Third
PyMODINIT_FUNC initname {
// Don't return, because PyMODINIT_FUNC is void which is PyObject * in Python 3.x
// Use PyInit_Module("name", MethodDef); rather than PyModule_Create("name", ModuleDef)
PyInit_Module("name", MethodDef);
}
- 最好不直接使用malloc()函数, 如果该函数出现了错误, 应该调用PyErr_NoMemory()函数, 调用Python的API如PyLong_FromLong可以不考虑这个问题, 因为他底层已经封装了该异常
- Python大多数函数, 以正数或者0表示成功, 以NULL或者-1表示失败, 官方手册中
PyArg_ParseTuple() and friends, functions that return an integer status usually
return a positive value or zero for success and -1 for failure
- 如果扩展模块中的函数不希望有返回值的话, 返回Py_None对象
Py_INCREF(Py_None);
return Py_None;
- 为NULL返回值的函数在Python中视为发生了异常的函数
- 除了Python解释器要调用的PyMODINIT_FUNC PyInit_name()没有static修饰, 其他所有的函数和变量都是要statis修饰的
- PyMODINIT_FUNC PyInit_name()函数的名字必须是PyInit_开头的, 并且返回模块对象, 这样在Python中sys.modules序列才能捕捉到该引用, 将其添加到sys.modules这个全局的模块池中
- 当在Python中使用import extend_modules时, Python解释器就会调用C层面上的PyInit_extend_modules()函数, 在该函数中执行PyModule_Create创建模块, 并且加载module table中定义的函数集合
- 可是这样说, Python中那么多的built in模块都是Guido按照自己规定的API扩展出来的, 所以我们编写的扩展模块也可以称之为built in模块
- Python中的heapq, functools等内置模块的源码在Modules/xxmoudle.c
- PyCallable_Check()判断是否一个PyObject *对象可以调用
- PyObject_CallObject(my_callback, arglist); 第一个参数是PyObject *, 第二个参数就是调用该PyObject *对象需要的参数, 也为一个PyObject *(是一个Tuple对象), 这是没有关键词参数的情况; 使用PyObject_Call(my_callback, argslist, argkw); 可以有位置参数和关键词参数
- 使用Py_BuildValue()函数创建对象是官方建议的
- 每次调用一个Python API, 需要判断其返回值, 判断是否会发生异常, 所有C编写扩展模块会比较冗长
- 参数就是一个PyTupleObject, 用户创建一个参数列表:
PyObject *arglist;
arglist = P_BuildValue("(i, l)", 8, 8888888)
- 慎用Py_INCREASE, Py_DECREASE, Py_XINCREASE, Py_XDREASE
- 我们自己创建的参数列表, 在放入到一个函数中执行完之后, 使用Py_DREASE宏减少参数列表的引用计数, 说白了就是让这个Tuple消失, 因为已经没有用了
-
int PyArg_ParseTupleAndKeywords(PyObject *arg, PyObject *kwdict, const char *format, char *kwlist[], ...);
arg: tuple对象
kwdict: dict对象
format: 字符串格式
kwlist: 存放关键词参数的键, 最后为NULL表示结束
NOTE!! 此函数只能借此keyword而不能解析位置参数了
- PyBuild_Value()函数
Py_BuildValue("") None
Py_BuildValue("i", 123) 123
Py_BuildValue("iii", 123, 456, 789) (123, 456, 789)
Py_BuildValue("s", "hello") 'hello'
Py_BuildValue("y", "hello") b'hello'
Py_BuildValue("ss", "hello", "world") ('hello', 'world')
Py_BuildValue("s#", "hello", 4) 'hell'
Py_BuildValue("y#", "hello", 4) b'hell'
Py_BuildValue("()") ()
Py_BuildValue("(i)", 123) (123,)
Py_BuildValue("(ii)", 123, 456) (123, 456)
Py_BuildValue("(i,i)", 123, 456) (123, 456)
Py_BuildValue("[i,i]", 123, 456) [123, 456]
Py_BuildValue("{s:i,s:i}",
"abc", 123, "def", 456) {'abc': 123, 'def': 456}
Py_BuildValue("((ii)(ii)) (ii)",
1, 2, 3, 4, 5, 6) (((1, 2), (3, 4)), (5, 6))
- 我们知道Python知道用特定的Py_Init
- 如果是借来的引用的话, 是不会增加该对象的引用计数的, 但是在借来的基础上, 使用Py_INCREASE增加它的引用计数, 可以把借来的转为自己持有的
- 几乎所有的Python创建PyObject对象的API都会返回一个拥有的引用, 同时大多数的从一个对象中取出另一个对象的函数API也都是拥有的引用, 例外的PyTuple_GetItem(), PyList_GetItem(), PyDict_GetItem(), PyImport_AddModule() and PyDict_GetItemString()等函数则是返回借来的对象
- 传入参数到Python的API中, 大多数的参数对象都是不会增加引用的, 但是PyTuple_SetItem() and PyList_SetItem()是例外
- 对24和25的补充, 使用借来的引用, 它的存活周期是一个PythonCFunction, 如果需要对象存起来的话, 就会调动Py_INCREASE增加引用计数, 但是如果要返回一个Python对象的话, 需要增加其引用计数
- 一般PythonAPI不怎么检验Python对象为NULL的情况
- 模块的一些初始化操作在PyInit_
- 如果希望添加新的内置类型, 这个我最熟悉(那是多么痛的领悟), 因为我写过, 定义一个type类型结构体, 第一个是PyObject_HEAD, 接着在初始化type(一定要有.tp_flags = Py_TPFLAGS_DEFAULT,), 在PyInit_
- 在扩展模块中设置的名称为modulename.subname
-
This initializes the Custom type, filling in a number of members to the appropriate default values, including ob_type that we initially set to NULL.
if (PyType_Ready(&CustomType) < 0)
return;
This adds the type to the module dictionary.
PyModule_AddObject(m, "Custom", (PyObject *) &CustomType);
- 一个完整的type赋值, 根据1, 2, 3得知, 为什么每次创建一个类型都会有new, init, del, 因为在其对应的PyTypeObject中需要指明, 并且不是通过PyMethodDef表控制的
static PyTypeObject CustomType = {
PyVarObject_HEAD_INIT(NULL, 0)
.tp_name = "custom2.Custom",
.tp_doc = "Custom objects",
.tp_basicsize = sizeof(CustomObject),
.tp_itemsize = 0,
.tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,
.tp_new = Custom_new, // __new__ 1
.tp_init = (initproc) Custom_init, // __init__ 2
.tp_dealloc = (destructor) Custom_dealloc, // __del__ 3
.tp_traverse = (traverseproc) Custom_traverse, // GC will call it
.tp_clear = (inquiry) Custom_clear, // GC will call it
.tp_members = Custom_members, // Is the PyMemberDef table
.tp_methods = Custom_methods, // Is the PyMethodDef table
.tp_getset = Custom_getsetters, // Setter and getter methods are special, so part them with tp_methods
};
// About the traverse and clear
static int
Custom_traverse(CustomObject *self, visitproc visit, void *arg)
{
Py_VISIT(self->first);
Py_VISIT(self->last);
return 0;
}
static int
Custom_clear(CustomObject *self)
{
Py_CLEAR(self->first);
Py_CLEAR(self->last);
return 0;
}
- 如何要继承一个类型的话, 那么定义的类型的第一行就是那个类型对象而不是HEAD了, 那个类型对象中已经包含了HEAD了, 所有新建的对象就可以转换成新建的这个对象类型或者他的父类型, 同时在Init函数中需要指定该类型对象的tp_base是谁, 这样在Python层面上实现集成
Demo file, according to the official
#include <Python.h>
typedef struct {
PyListObject list;
int state;
} SubListObject;
static PyObject *
SubList_increment(SubListObject *self, PyObject *unused)
{
self->state++;
return PyLong_FromLong(self->state);
}
static PyMethodDef SubList_methods[] = {
{"increment", (PyCFunction) SubList_increment, METH_NOARGS,
PyDoc_STR("increment state counter")},
{NULL},
};
static int
SubList_init(SubListObject *self, PyObject *args, PyObject *kwds)
{
if (PyList_Type.tp_init((PyObject *) self, args, kwds) < 0)
return -1;
self->state = 0;
return 0;
}
static PyTypeObject SubListType = {
PyVarObject_HEAD_INIT(NULL, 0)
.tp_name = "sublist.SubList",
.tp_doc = "SubList objects",
.tp_basicsize = sizeof(SubListObject),
.tp_itemsize = 0,
.tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,
.tp_init = (initproc) SubList_init,
.tp_methods = SubList_methods,
};
static PyModuleDef sublistmodule = {
PyModuleDef_HEAD_INIT,
.m_name = "sublist",
.m_doc = "Example module that creates an extension type.",
.m_size = -1,
};
PyMODINIT_FUNC
PyInit_sublist(void)
{
PyObject *m;
SubListType.tp_base = &PyList_Type;
if (PyType_Ready(&SubListType) < 0)
return NULL;
m = PyModule_Create(&sublistmodule);
if (m == NULL)
return NULL;
Py_INCREF(&SubListType);
PyModule_AddObject(m, "SubList", (PyObject *) &SubListType);
return m;
}
Another Demo
#include <Python.h>
#include "structmember.h"
typedef struct {
PyObject_HEAD
PyObject *first; /* first name */
PyObject *last; /* last name */
int number;
} CustomObject;
static void
Custom_dealloc(CustomObject *self)
{
Py_XDECREF(self->first);
Py_XDECREF(self->last);
Py_TYPE(self)->tp_free((PyObject *) self);
}
static PyObject *
Custom_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
{
CustomObject *self;
self = (CustomObject *) type->tp_alloc(type, 0);
if (self != NULL) {
self->first = PyUnicode_FromString("");
if (self->first == NULL) {
Py_DECREF(self);
return NULL;
}
self->last = PyUnicode_FromString("");
if (self->last == NULL) {
Py_DECREF(self);
return NULL;
}
self->number = 0;
}
return (PyObject *) self;
}
static int
Custom_init(CustomObject *self, PyObject *args, PyObject *kwds)
{
static char *kwlist[] = {"first", "last", "number", NULL};
PyObject *first = NULL, *last = NULL, *tmp;
if (!PyArg_ParseTupleAndKeywords(args, kwds, "|UUi", kwlist,
&first, &last,
&self->number))
return -1;
if (first) {
tmp = self->first;
Py_INCREF(first);
self->first = first;
Py_DECREF(tmp);
}
if (last) {
tmp = self->last;
Py_INCREF(last);
self->last = last;
Py_DECREF(tmp);
}
return 0;
}
static PyMemberDef Custom_members[] = {
{"number", T_INT, offsetof(CustomObject, number), 0,
"custom number"},
{NULL} /* Sentinel */
};
static PyObject *
Custom_getfirst(CustomObject *self, void *closure)
{
Py_INCREF(self->first);
return self->first;
}
static int
Custom_setfirst(CustomObject *self, PyObject *value, void *closure)
{
PyObject *tmp;
if (value == NULL) {
PyErr_SetString(PyExc_TypeError, "Cannot delete the first attribute");
return -1;
}
if (!PyUnicode_Check(value)) {
PyErr_SetString(PyExc_TypeError,
"The first attribute value must be a string");
return -1;
}
tmp = self->first;
Py_INCREF(value);
self->first = value;
Py_DECREF(tmp);
return 0;
}
static PyObject *
Custom_getlast(CustomObject *self, void *closure)
{
Py_INCREF(self->last);
return self->last;
}
static int
Custom_setlast(CustomObject *self, PyObject *value, void *closure)
{
PyObject *tmp;
if (value == NULL) {
PyErr_SetString(PyExc_TypeError, "Cannot delete the last attribute");
return -1;
}
if (!PyUnicode_Check(value)) {
PyErr_SetString(PyExc_TypeError,
"The last attribute value must be a string");
return -1;
}
tmp = self->last;
Py_INCREF(value);
self->last = value;
Py_DECREF(tmp);
return 0;
}
static PyGetSetDef Custom_getsetters[] = {
{"first", (getter) Custom_getfirst, (setter) Custom_setfirst,
"first name", NULL},
{"last", (getter) Custom_getlast, (setter) Custom_setlast,
"last name", NULL},
{NULL} /* Sentinel */
};
static PyObject *
Custom_name(CustomObject *self, PyObject *Py_UNUSED(ignored))
{
return PyUnicode_FromFormat("%S %S", self->first, self->last);
}
static PyMethodDef Custom_methods[] = {
{"name", (PyCFunction) Custom_name, METH_NOARGS,
"Return the name, combining the first and last name"
},
{NULL} /* Sentinel */
};
static PyTypeObject CustomType = {
PyVarObject_HEAD_INIT(NULL, 0)
.tp_name = "custom3.Custom",
.tp_doc = "Custom objects",
.tp_basicsize = sizeof(CustomObject),
.tp_itemsize = 0,
.tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE,
.tp_new = Custom_new,
.tp_init = (initproc) Custom_init,
.tp_dealloc = (destructor) Custom_dealloc,
.tp_members = Custom_members,
.tp_methods = Custom_methods,
.tp_getset = Custom_getsetters,
};
static PyModuleDef custommodule = {
PyModuleDef_HEAD_INIT,
.m_name = "custom3",
.m_doc = "Example module that creates an extension type.",
.m_size = -1,
};
PyMODINIT_FUNC
PyInit_custom3(void)
{
PyObject *m;
if (PyType_Ready(&CustomType) < 0)
return NULL;
m = PyModule_Create(&custommodule);
if (m == NULL)
return NULL;
Py_INCREF(&CustomType);
PyModule_AddObject(m, "Custom", (PyObject *) &CustomType);
return m;
}