如何使用 Python C API 创建生成器/迭代器? [英] How to create a generator/iterator with the Python C API?
问题描述
如何使用 Python C API 复制以下 Python 代码?
How do I replicate the following Python code with the Python C API?
class Sequence():
def __init__(self, max):
self.max = max
def data(self):
i = 0
while i < self.max:
yield i
i += 1
到目前为止，我有这个:
So far, I have this:
#include <Python/Python.h>
#include <Python/structmember.h>
/* Define a new object class, Sequence. */
typedef struct {
PyObject_HEAD
size_t max;
} SequenceObject;
/* Instance variables */
static PyMemberDef Sequence_members[] = {
{"max", T_UINT, offsetof(SequenceObject, max), 0, NULL},
{NULL} /* Sentinel */
};
static int Sequence_Init(SequenceObject *self, PyObject *args, PyObject *kwds)
{
if (!PyArg_ParseTuple(args, "k", &(self->max))) {
return -1;
}
return 0;
}
static PyObject *Sequence_data(SequenceObject *self, PyObject *args);
/* Methods */
static PyMethodDef Sequence_methods[] = {
{"data", (PyCFunction)Sequence_data, METH_NOARGS,
"sequence.data() -> iterator object
"
"Returns iterator of range [0, sequence.max)."},
{NULL} /* Sentinel */
};
/* Define new object type */
PyTypeObject Sequence_Type = {
PyObject_HEAD_INIT(NULL)
0, /* ob_size */
"Sequence", /* tp_name */
sizeof(SequenceObject), /* tp_basicsize */
0, /* tp_itemsize */
0, /* tp_dealloc */
0, /* tp_print */
0, /* tp_getattr */
0, /* tp_setattr */
0, /* tp_compare */
0, /* tp_repr */
0, /* tp_as_number */
0, /* tp_as_sequence */
0, /* tp_as_mapping */
0, /* tp_hash */
0, /* tp_call */
0, /* tp_str */
0, /* tp_getattro */
0, /* tp_setattro */
0, /* tp_as_buffer */
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /* tp_flags*/
"Test generator object", /* tp_doc */
0, /* tp_traverse */
0, /* tp_clear */
0, /* tp_richcompare */
0, /* tp_weaklistoffset */
0, /* tp_iter */
0, /* tp_iternext */
0, /* tp_methods */
Sequence_members, /* tp_members */
0, /* tp_getset */
0, /* tp_base */
0, /* tp_dict */
0, /* tp_descr_get */
0, /* tp_descr_set */
0, /* tp_dictoffset */
(initproc)Sequence_init, /* tp_init */
0, /* tp_alloc */
PyType_GenericNew, /* tp_new */
};
static PyObject *Sequence_data(SequenceObject *self, PyObject *args)
{
/* Now what? */
}
但我不确定下一步该去哪里.谁能提供一些建议?
But I'm not sure where to go next. Could anyone offer some suggestions?
我想我遇到的主要问题是模拟 yield 语句.据我了解，这是一个看起来很简单，但实际上很复杂的语句——它创建了一个带有自己的 __iter__() 和 next() 方法的生成器被自动调用.搜索文档，它似乎与 PyGenObject;但是，如何创建该对象的新实例尚不清楚.PyGen_New() 将 PyFrameObject 作为其参数，我能找到的唯一参考是 PyEval_GetFrame()，这似乎不是我想要的(或者我弄错了吗?).有谁有这方面的经验可以分享吗?
I suppose the main problem I'm having with this is simulating the yield statement. As I understand it, it is a pretty simple-looking, but in reality complex, statement — it creates a generator with its own __iter__() and next() methods which are called automatically. Searching through the docs, it seems to be associated with the PyGenObject; however, how to create a new instance of this object is unclear. PyGen_New() takes as its argument a PyFrameObject, the only reference to which I can find is PyEval_GetFrame(), which doesn't seem to be what I want (or am I mistaken?). Does anyone have any experience with this they can share?
当我(基本上)扩展 Python 在幕后所做的事情时，我发现这一点更加清晰:
I found this to be clearer when I (essentially) expanded what Python was doing behind the scenes:
class IterObject():
def __init__(self, max):
self.max = max
def __iter__(self):
self.i = 0
return self
def next(self):
if self.i >= self.max:
raise StopIteration
self.i += 1
return self.i
class Sequence():
def __init__(self, max):
self.max = max
def data(self):
return IterObject(self.max)
从技术上讲，序列相差一个，但你明白了.
Technically the sequence is off by one but you get the idea.
这样做的唯一问题是，每次需要生成器时都创建一个新对象非常烦人——在 Python 中比在 C 中更是如此，因为定义新类型会带来巨大的麻烦.C 中不能有 yield 语句，因为 C 没有闭包.而我所做的(因为我在 Python API 中找不到它——请指出一个标准对象，如果它已经存在！)是创建一个简单的通用生成器对象类，它回调一个每个 next() 方法调用的 C 函数.在这里(请注意，我还没有尝试编译它，因为它不完整——见下文):
The only problem with this is it's very annoying to create a new object every time one needs a generator — even more so in Python than C because of the required monstrosity that comes with defining a new type. And there can be no yield statement in C because C has no closures. What I did instead (since I couldn't find it in the Python API — please point me to a standard object if it already exists!) was create a simple, generic generator object class that called back a C function for every next() method call. Here it is (note that I have not yet tried compiling this because it is not complete — see below):
#include <Python/Python.h>
#include <Python/structmember.h>
#include <stdlib.h>
/* A convenient, generic generator object. */
typedef PyObject *(*callback)(PyObject *callee, void *info) PyGeneratorCallback;
typedef struct {
PyObject HEAD
PyGeneratorCallback callback;
PyObject *callee;
void *callbackInfo; /* info to be passed along to callback function. */
bool freeInfo; /* true if |callbackInfo| should be free'()d when object
* dealloc's, false if not. */
} GeneratorObject;
static PyObject *Generator_iter(PyObject *self, PyObject *args)
{
Py_INCREF(self);
return self;
}
static PyObject *Generator_next(PyObject *self, PyObject *args)
{
return self->callback(self->callee, self->callbackInfo);
}
static PyMethodDef Generator_methods[] = {
{"__iter__", (PyCFunction)Generator_iter, METH_NOARGS, NULL},
{"next", (PyCFunction)Generator_next, METH_NOARGS, NULL},
{NULL} /* Sentinel */
};
static void Generator_dealloc(GenericEventObject *self)
{
if (self->freeInfo && self->callbackInfo != NULL) {
free(self->callbackInfo);
}
self->ob_type->tp_free((PyObject *)self);
}
PyTypeObject Generator_Type = {
PyObject_HEAD_INIT(NULL)
0, /* ob_size */
"Generator", /* tp_name */
sizeof(GeneratorObject), /* tp_basicsize */
0, /* tp_itemsize */
Generator_dealloc, /* tp_dealloc */
0, /* tp_print */
0, /* tp_getattr */
0, /* tp_setattr */
0, /* tp_compare */
0, /* tp_repr */
0, /* tp_as_number */
0, /* tp_as_sequence */
0, /* tp_as_mapping */
0, /* tp_hash */
0, /* tp_call */
0, /* tp_str */
0, /* tp_getattro */
0, /* tp_setattro */
0, /* tp_as_buffer */
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /* tp_flags*/
0, /* tp_doc */
0, /* tp_traverse */
0, /* tp_clear */
0, /* tp_richcompare */
0, /* tp_weaklistoffset */
0, /* tp_iter */
0, /* tp_iternext */
0, /* tp_methods */
0, /* tp_members */
0, /* tp_getset */
0, /* tp_base */
0, /* tp_dict */
0, /* tp_descr_get */
0, /* tp_descr_set */
0, /* tp_dictoffset */
0, /* tp_init */
0, /* tp_alloc */
PyType_GenericNew, /* tp_new */
};
/* Returns a new generator object with the given callback function
* and arguments. */
PyObject *Generator_New(PyObject *callee, void *info,
bool freeInfo, PyGeneratorCallback callback)
{
GeneratorObject *generator = (GeneratorObject *)_PyObject_New(&Generator_Type);
if (generator == NULL) return NULL;
generator->callee = callee;
generator->info = info;
generator->callback = callback;
self->freeInfo = freeInfo;
return (PyObject *)generator;
}
/* End of Generator definition. */
/* Define a new object class, Sequence. */
typedef struct {
PyObject_HEAD
size_t max;
} SequenceObject;
/* Instance variables */
static PyMemberDef Sequence_members[] = {
{"max", T_UINT, offsetof(SequenceObject, max), 0, NULL},
{NULL} /* Sentinel */
}
static int Sequence_Init(SequenceObject *self, PyObject *args, PyObject *kwds)
{
if (!PyArg_ParseTuple(args, "k", &self->max)) {
return -1;
}
return 0;
}
static PyObject *Sequence_data(SequenceObject *self, PyObject *args);
/* Methods */
static PyMethodDef Sequence_methods[] = {
{"data", (PyCFunction)Sequence_data, METH_NOARGS,
"sequence.data() -> iterator object
"
"Returns generator of range [0, sequence.max)."},
{NULL} /* Sentinel */
};
/* Define new object type */
PyTypeObject Sequence_Type = {
PyObject_HEAD_INIT(NULL)
0, /* ob_size */
"Sequence", /* tp_name */
sizeof(SequenceObject), /* tp_basicsize */
0, /* tp_itemsize */
0, /* tp_dealloc */
0, /* tp_print */
0, /* tp_getattr */
0, /* tp_setattr */
0, /* tp_compare */
0, /* tp_repr */
0, /* tp_as_number */
0, /* tp_as_sequence */
0, /* tp_as_mapping */
0, /* tp_hash */
0, /* tp_call */
0, /* tp_str */
0, /* tp_getattro */
0, /* tp_setattro */
0, /* tp_as_buffer */
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /* tp_flags*/
"Test generator object", /* tp_doc */
0, /* tp_traverse */
0, /* tp_clear */
0, /* tp_richcompare */
0, /* tp_weaklistoffset */
0, /* tp_iter */
0, /* tp_iternext */
0, /* tp_methods */
Sequence_members, /* tp_members */
0, /* tp_getset */
0, /* tp_base */
0, /* tp_dict */
0, /* tp_descr_get */
0, /* tp_descr_set */
0, /* tp_dictoffset */
(initproc)Sequence_init, /* tp_init */
0, /* tp_alloc */
PyType_GenericNew, /* tp_new */
};
static PyObject *Sequence_data(SequenceObject *self, PyObject *args)
{
size_t *info = malloc(sizeof(size_t));
if (info == NULL) return NULL;
*info = 0;
/* |info| will be free'()d by the returned generator object. */
GeneratorObject *ret = Generator_New(self, info, true,
&Sequence_data_next_callback);
if (ret == NULL) {
free(info); /* Watch out for memory leaks! */
}
return ret;
}
PyObject *Sequence_data_next_callback(PyObject *self, void *info)
{
size_t i = info;
if (i > self->max) {
return NULL; /* TODO: How do I raise StopIteration here? I can't seem to find
* a standard exception. */
} else {
return Py_BuildValue("k", i++);
}
}
但是，不幸的是，我还没有完成.我剩下的唯一问题是:如何使用 C API 引发 StopIteration 异常?我似乎无法在 标准例外 中找到它.另外，也许更重要的是，这是解决这个问题的正确方法吗?
However, unfortunately, I'm still not finished. The only question I have left is: How do I raise a StopIteration exception with the C API? I can't seem to find it listed in the Standard Exceptions. Also, perhaps more importantly, is this the correct way to approach this problem?
感谢仍在关注此内容的任何人.
Thanks to anyone that's still following this.
推荐答案
下面是模块 spam 的简单实现，其中一个函数 myiter(int) 返回迭代器:
Below is a simple implementation of module spam with one function myiter(int) returning iterator:
import spam
for i in spam.myiter(10):
print i
打印从 0 到 9 的数字.
prints numbers from 0 to 9.
它比您的情况更简单，但显示了要点:使用标准 __iter__() 和 next() 方法定义对象，并实现迭代器行为，包括引发 适当时停止迭代.
It is simpler then your case but shows main points: defining object with standard __iter__() and next() methods, and implementing iterator behaviour including raising StopIteration when appropriate.
在您的情况下，迭代器对象需要持有对序列的引用(因此您需要将其释放到 Py_DECREF 它的释放器方法).序列本身需要实现 __iter()__ 并在其中创建一个迭代器.
In your case iterator object needs to hold reference to Sequence (so you'll need deallocator method for it to Py_DECREF it).
The sequence itself needs to implement __iter()__ and create an iterator inside it.
包含迭代器状态的结构.(在您的版本而不是 m 中，它将引用序列.)
Structure containing state of iterator. (In your version instead of m, it would have reference to Sequence.)
typedef struct {
PyObject_HEAD
long int m;
long int i;
} spam_MyIter;
迭代器的 __iter__() 方法.它总是简单地返回 self.它允许对迭代器和集合进行相同处理在像 for ... in ... 这样的结构中.
Iterator's __iter__() method.
It always simply returns self.
It allows for both iterator and collection to be treated the same
in constructs like for ... in ....
PyObject* spam_MyIter_iter(PyObject *self)
{
Py_INCREF(self);
return self;
}
我们迭代的实现:next() 方法.
Implementation of our iteration: next() method.
PyObject* spam_MyIter_iternext(PyObject *self)
{
spam_MyIter *p = (spam_MyIter *)self;
if (p->i < p->m) {
PyObject *tmp = Py_BuildValue("l", p->i);
(p->i)++;
return tmp;
} else {
/* Raising of standard StopIteration exception with empty value. */
PyErr_SetNone(PyExc_StopIteration);
return NULL;
}
}
我们需要扩展版本的 PyTypeObject 结构来为 Python 提供关于 __iter__() 和 next() 的信息.我们希望它们被有效地调用，所以在字典中没有基于名称的查找.
We need extended version of PyTypeObject structure to provide Python with
information about __iter__() and next().
We want them to be called efficiently, so no name-based lookup in dictionary.
static PyTypeObject spam_MyIterType = {
PyObject_HEAD_INIT(NULL)
0, /*ob_size*/
"spam._MyIter", /*tp_name*/
sizeof(spam_MyIter), /*tp_basicsize*/
0, /*tp_itemsize*/
0, /*tp_dealloc*/
0, /*tp_print*/
0, /*tp_getattr*/
0, /*tp_setattr*/
0, /*tp_compare*/
0, /*tp_repr*/
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash */
0, /*tp_call*/
0, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_ITER,
/* tp_flags: Py_TPFLAGS_HAVE_ITER tells python to
use tp_iter and tp_iternext fields. */
"Internal myiter iterator object.", /* tp_doc */
0, /* tp_traverse */
0, /* tp_clear */
0, /* tp_richcompare */
0, /* tp_weaklistoffset */
spam_MyIter_iter, /* tp_iter: __iter__() method */
spam_MyIter_iternext /* tp_iternext: next() method */
};
myiter(int) 函数创建迭代器.
static PyObject *
spam_myiter(PyObject *self, PyObject *args)
{
long int m;
spam_MyIter *p;
if (!PyArg_ParseTuple(args, "l", &m)) return NULL;
/* I don't need python callable __init__() method for this iterator,
so I'll simply allocate it as PyObject and initialize it by hand. */
p = PyObject_New(spam_MyIter, &spam_MyIterType);
if (!p) return NULL;
/* I'm not sure if it's strictly necessary. */
if (!PyObject_Init((PyObject *)p, &spam_MyIterType)) {
Py_DECREF(p);
return NULL;
}
p->m = m;
p->i = 0;
return (PyObject *)p;
}
剩下的就很无聊了……
static PyMethodDef SpamMethods[] = {
{"myiter", spam_myiter, METH_VARARGS, "Iterate from i=0 while i<m."},
{NULL, NULL, 0, NULL} /* Sentinel */
};
PyMODINIT_FUNC
initspam(void)
{
PyObject* m;
spam_MyIterType.tp_new = PyType_GenericNew;
if (PyType_Ready(&spam_MyIterType) < 0) return;
m = Py_InitModule("spam", SpamMethods);
Py_INCREF(&spam_MyIterType);
PyModule_AddObject(m, "_MyIter", (PyObject *)&spam_MyIterType);
}
这篇关于如何使用 Python C API 创建生成器/迭代器?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
