模块对象

PyTypeObject PyModule_Type

这个 PyTypeObject 的实例代表 Python 模块类型。 它以 types.ModuleType 的形式暴露给 Python 程序。

int PyModule_Check(PyObject *p)

Return true if p is a module object, or a subtype of a module object.

int PyModule_CheckExact(PyObject *p)

Return true if p is a module object, but not a subtype of PyModule_Type.

PyObject* PyModule_NewObject(PyObject *name)

Return value: New reference.

返回新的模块对象，其属性 __name__ 为 name 。模块的这些属性 __name__, __doc__, __package__, and __loader__ （所有属性除了 __name__ 都被设为``None``）。调用时应当提供 __file__ 属性。

3.3 新版功能.

在 3.4 版更改: 属性 __package__ 和 __loader__ 被设为``None``。

PyObject* PyModule_New(const char *name)

Return value: New reference.

这类似于 PyModule_NewObject()， 但其名称为 UTF-8 编码的字符串而不是 Unicode 对象。

PyObject* PyModule_GetDict(PyObject *module)

Return value: Borrowed reference.

Return the dictionary object that implements module's namespace; this object is the same as the __dict__ attribute of the module object. If module is not a module object (or a subtype of a module object), SystemError is raised and NULL is returned.

It is recommended extensions use other PyModule_*() and PyObject_*() functions rather than directly manipulate a module's __dict__.

PyObject* PyModule_GetNameObject(PyObject *module)

Return value: New reference.

Return module's __name__ value. If the module does not provide one, or if it is not a string, SystemError is raised and NULL is returned.

3.3 新版功能.

const char* PyModule_GetName(PyObject *module)

Similar to PyModule_GetNameObject() but return the name encoded to 'utf-8'.

void* PyModule_GetState(PyObject *module)

Return the "state" of the module, that is, a pointer to the block of memory allocated at module creation time, or NULL. See PyModuleDef.m_size.

PyModuleDef* PyModule_GetDef(PyObject *module)

Return a pointer to the PyModuleDef struct from which the module was created, or NULL if the module wasn't created from a definition.

PyObject* PyModule_GetFilenameObject(PyObject *module)

Return value: New reference.

Return the name of the file from which module was loaded using module's __file__ attribute. If this is not defined, or if it is not a unicode string, raise SystemError and return NULL; otherwise return a reference to a Unicode object.

3.2 新版功能.

const char* PyModule_GetFilename(PyObject *module)

Similar to PyModule_GetFilenameObject() but return the filename encoded to 'utf-8'.

3.2 版后已移除: PyModule_GetFilename() raises UnicodeEncodeError on unencodable filenames, use PyModule_GetFilenameObject() instead.

Initializing C modules

Modules objects are usually created from extension modules (shared libraries which export an initialization function), or compiled-in modules (where the initialization function is added using PyImport_AppendInittab()). See 构建C/C++扩展 or 对嵌入 Python 功能进行扩展 for details.

The initialization function can either pass a module definition instance to PyModule_Create(), and return the resulting module object, or request "multi-phase initialization" by returning the definition struct itself.

PyModuleDef

The module definition struct, which holds all information needed to create a module object. There is usually only one statically initialized variable of this type for each module.

PyModuleDef_Base m_base

Always initialize this member to PyModuleDef_HEAD_INIT.

const char *m_name

新模块的名称。

const char *m_doc

Docstring for the module; usually a docstring variable created with PyDoc_STRVAR is used.

Py_ssize_t m_size

Module state may be kept in a per-module memory area that can be retrieved with PyModule_GetState(), rather than in static globals. This makes modules safe for use in multiple sub-interpreters.

This memory area is allocated based on m_size on module creation, and freed when the module object is deallocated, after the m_free function has been called, if present.

Setting m_size to -1 means that the module does not support sub-interpreters, because it has global state.

Setting it to a non-negative value means that the module can be re-initialized and specifies the additional amount of memory it requires for its state. Non-negative m_size is required for multi-phase initialization.

See PEP 3121 for more details.

PyMethodDef* m_methods

A pointer to a table of module-level functions, described by PyMethodDef values. Can be NULL if no functions are present.

PyModuleDef_Slot* m_slots

An array of slot definitions for multi-phase initialization, terminated by a {0, NULL} entry. When using single-phase initialization, m_slots must be NULL.

在 3.5 版更改: Prior to version 3.5, this member was always set to NULL, and was defined as:

inquiry m_reload

traverseproc m_traverse

A traversal function to call during GC traversal of the module object, or NULL if not needed. This function may be called before module state is allocated (PyModule_GetState() may return NULL), and before the Py_mod_exec function is executed.

inquiry m_clear

A clear function to call during GC clearing of the module object, or NULL if not needed. This function may be called before module state is allocated (PyModule_GetState() may return NULL), and before the Py_mod_exec function is executed.

freefunc m_free

A function to call during deallocation of the module object, or NULL if not needed. This function may be called before module state is allocated (PyModule_GetState() may return NULL), and before the Py_mod_exec function is executed.

Single-phase initialization

The module initialization function may create and return the module object directly. This is referred to as "single-phase initialization", and uses one of the following two module creation functions:

PyObject* PyModule_Create(PyModuleDef *def)

Return value: New reference.

Create a new module object, given the definition in def. This behaves like PyModule_Create2() with module_api_version set to PYTHON_API_VERSION.

PyObject* PyModule_Create2(PyModuleDef *def, int module_api_version)

Return value: New reference.

Create a new module object, given the definition in def, assuming the API version module_api_version. If that version does not match the version of the running interpreter, a RuntimeWarning is emitted.

注解

Most uses of this function should be using PyModule_Create() instead; only use this if you are sure you need it.

Before it is returned from in the initialization function, the resulting module object is typically populated using functions like PyModule_AddObject().

Multi-phase initialization

An alternate way to specify extensions is to request "multi-phase initialization". Extension modules created this way behave more like Python modules: the initialization is split between the creation phase, when the module object is created, and the execution phase, when it is populated. The distinction is similar to the __new__() and __init__() methods of classes.

Unlike modules created using single-phase initialization, these modules are not singletons: if the sys.modules entry is removed and the module is re-imported, a new module object is created, and the old module is subject to normal garbage collection -- as with Python modules. By default, multiple modules created from the same definition should be independent: changes to one should not affect the others. This means that all state should be specific to the module object (using e.g. using PyModule_GetState()), or its contents (such as the module's __dict__ or individual classes created with PyType_FromSpec()).

All modules created using multi-phase initialization are expected to support sub-interpreters. Making sure multiple modules are independent is typically enough to achieve this.

To request multi-phase initialization, the initialization function (PyInit_modulename) returns a PyModuleDef instance with non-empty m_slots. Before it is returned, the PyModuleDef instance must be initialized with the following function:

PyObject* PyModuleDef_Init(PyModuleDef *def)

Return value: Borrowed reference.

Ensures a module definition is a properly initialized Python object that correctly reports its type and reference count.

Returns def cast to PyObject*, or NULL if an error occurred.

3.5 新版功能.

The m_slots member of the module definition must point to an array of PyModuleDef_Slot structures:

PyModuleDef_Slot

int slot

A slot ID, chosen from the available values explained below.

void* value

Value of the slot, whose meaning depends on the slot ID.

3.5 新版功能.

The m_slots array must be terminated by a slot with id 0.

The available slot types are:

Py_mod_create

Specifies a function that is called to create the module object itself. The value pointer of this slot must point to a function of the signature:

PyObject* create_module(PyObject *spec, PyModuleDef *def)

The function receives a ModuleSpec instance, as defined in PEP 451, and the module definition. It should return a new module object, or set an error and return NULL.

This function should be kept minimal. In particular, it should not call arbitrary Python code, as trying to import the same module again may result in an infinite loop.

Multiple Py_mod_create slots may not be specified in one module definition.

If Py_mod_create is not specified, the import machinery will create a normal module object using PyModule_New(). The name is taken from spec, not the definition, to allow extension modules to dynamically adjust to their place in the module hierarchy and be imported under different names through symlinks, all while sharing a single module definition.

There is no requirement for the returned object to be an instance of PyModule_Type. Any type can be used, as long as it supports setting and getting import-related attributes. However, only PyModule_Type instances may be returned if the PyModuleDef has non-NULL m_traverse, m_clear, m_free; non-zero m_size; or slots other than Py_mod_create.

Py_mod_exec

Specifies a function that is called to execute the module. This is equivalent to executing the code of a Python module: typically, this function adds classes and constants to the module. The signature of the function is:

int exec_module(PyObject* module)

If multiple Py_mod_exec slots are specified, they are processed in the order they appear in the m_slots array.

See PEP 489 for more details on multi-phase initialization.

Low-level module creation functions

The following functions are called under the hood when using multi-phase initialization. They can be used directly, for example when creating module objects dynamically. Note that both PyModule_FromDefAndSpec and PyModule_ExecDef must be called to fully initialize a module.

PyObject * PyModule_FromDefAndSpec(PyModuleDef *def, PyObject *spec)

Return value: New reference.

Create a new module object, given the definition in module and the ModuleSpec spec. This behaves like PyModule_FromDefAndSpec2() with module_api_version set to PYTHON_API_VERSION.

3.5 新版功能.

PyObject * PyModule_FromDefAndSpec2(PyModuleDef *def, PyObject *spec, int module_api_version)

Return value: New reference.

Create a new module object, given the definition in module and the ModuleSpec spec, assuming the API version module_api_version. If that version does not match the version of the running interpreter, a RuntimeWarning is emitted.

注解

Most uses of this function should be using PyModule_FromDefAndSpec() instead; only use this if you are sure you need it.

3.5 新版功能.

int PyModule_ExecDef(PyObject *module, PyModuleDef *def)

Process any execution slots (Py_mod_exec) given in def.

3.5 新版功能.

int PyModule_SetDocString(PyObject *module, const char *docstring)

Set the docstring for module to docstring. This function is called automatically when creating a module from PyModuleDef, using either PyModule_Create or PyModule_FromDefAndSpec.

3.5 新版功能.

int PyModule_AddFunctions(PyObject *module, PyMethodDef *functions)

Add the functions from the NULL terminated functions array to module. Refer to the PyMethodDef documentation for details on individual entries (due to the lack of a shared module namespace, module level "functions" implemented in C typically receive the module as their first parameter, making them similar to instance methods on Python classes). This function is called automatically when creating a module from PyModuleDef, using either PyModule_Create or PyModule_FromDefAndSpec.

3.5 新版功能.

Support functions

The module initialization function (if using single phase initialization) or a function called from a module execution slot (if using multi-phase initialization), can use the following functions to help initialize the module state:

int PyModule_AddObject(PyObject *module, const char *name, PyObject *value)

Add an object to module as name. This is a convenience function which can be used from the module's initialization function. This steals a reference to value on success. Return -1 on error, 0 on success.

注解

Unlike other functions that steal references, PyModule_AddObject() only decrements the reference count of value on success.

This means that its return value must be checked, and calling code must Py_DECREF() value manually on error. Example usage:

Py_INCREF(spam);
if (PyModule_AddObject(module, "spam", spam) < 0) {
    Py_DECREF(module);
    Py_DECREF(spam);
    return NULL;
}

int PyModule_AddIntConstant(PyObject *module, const char *name, long value)

Add an integer constant to module as name. This convenience function can be used from the module's initialization function. Return -1 on error, 0 on success.

int PyModule_AddStringConstant(PyObject *module, const char *name, const char *value)

Add a string constant to module as name. This convenience function can be used from the module's initialization function. The string value must be NULL-terminated. Return -1 on error, 0 on success.

int PyModule_AddIntMacro(PyObject *module, macro)

Add an int constant to module. The name and the value are taken from macro. For example PyModule_AddIntMacro(module, AF_INET) adds the int constant AF_INET with the value of AF_INET to module. Return -1 on error, 0 on success.

int PyModule_AddStringMacro(PyObject *module, macro)

Add a string constant to module.

Module lookup

Single-phase initialization creates singleton modules that can be looked up in the context of the current interpreter. This allows the module object to be retrieved later with only a reference to the module definition.

These functions will not work on modules created using multi-phase initialization, since multiple such modules can be created from a single definition.

PyObject* PyState_FindModule(PyModuleDef *def)

Return value: Borrowed reference.

Returns the module object that was created from def for the current interpreter. This method requires that the module object has been attached to the interpreter state with PyState_AddModule() beforehand. In case the corresponding module object is not found or has not been attached to the interpreter state yet, it returns NULL.

int PyState_AddModule(PyObject *module, PyModuleDef *def)

Attaches the module object passed to the function to the interpreter state. This allows the module object to be accessible via PyState_FindModule().

Only effective on modules created using single-phase initialization.

Python calls PyState_AddModule automatically after importing a module, so it is unnecessary (but harmless) to call it from module initialization code. An explicit call is needed only if the module's own init code subsequently calls PyState_FindModule. The function is mainly intended for implementing alternative import mechanisms (either by calling it directly, or by referring to its implementation for details of the required state updates).

Return 0 on success or -1 on failure.

3.3 新版功能.

int PyState_RemoveModule(PyModuleDef *def)

Removes the module object created from def from the interpreter state. Return 0 on success or -1 on failure.

3.3 新版功能.