Multiple module instances

By default, extension modules are not singletons. For example, if the sys.modules entry is removed and the module is re-imported, a new module object is created, and typically populated with fresh method and type objects. The old module is subject to normal garbage collection. This mirrors the behavior of pure-Python modules.

Additional module instances may be created in sub-interpreters or after Python runtime reinitialization (Py_Finalize() and Py_Initialize()). In these cases, sharing Python objects between module instances would likely cause crashes or undefined behavior.

To avoid such issues, each instance of an extension module should be isolated: changes to one instance should not implicitly affect the others, and all state owned by the module, including references to Python objects, should be specific to a particular module instance. See Isolating Extension Modules for more details and a practical guide.

A simpler way to avoid these issues is raising an error on repeated initialization.

All modules are expected to support sub-interpreters, or otherwise explicitly signal a lack of support. This is usually achieved by isolation or blocking repeated initialization, as above. A module may also be limited to the main interpreter using the Py_mod_multiple_interpreters slot.

Initialization function

The initialization function defined by an extension module has the following signature:

PyObject *PyInit_modulename(void)

Its name should be PyInit_<name>, with <name> replaced by the name of the module.

For modules with ASCII-only names, the function must instead be named PyInit_<name>, with <name> replaced by the name of the module. When using Multi-phase initialization, non-ASCII module names are allowed. In this case, the initialization function name is PyInitU_<name>, with <name> encoded using Python’s punycode encoding with hyphens replaced by underscores. In Python:

def initfunc_name(name):
    try:
        suffix = b'_' + name.encode('ascii')
    except UnicodeEncodeError:
        suffix = b'U_' + name.encode('punycode').replace(b'-', b'_')
    return b'PyInit' + suffix

It is recommended to define the initialization function using a helper macro:

PyMODINIT_FUNC

Declare an extension module initialization function. This macro:

• specifies the PyObject* return type,
• adds any special linkage declarations required by the platform, and
• for C++, declares the function as extern "C".

For example, a module called spam would be defined like this:

static struct PyModuleDef spam_module = {
    .m_base = PyModuleDef_HEAD_INIT,
    .m_name = "spam",
    ...
};

PyMODINIT_FUNC
PyInit_spam(void)
{
    return PyModuleDef_Init(&spam_module);
}

It is possible to export multiple modules from a single shared library by defining multiple initialization functions. However, importing them requires using symbolic links or a custom importer, because by default only the function corresponding to the filename is found. See the Multiple modules in one library section in PEP 489 for details.

The initialization function is typically the only non-static item defined in the module’s C source.

Multi-phase initialization

Normally, the initialization function (PyInit_modulename) returns a PyModuleDef instance with non-NULL m_slots. Before it is returned, the PyModuleDef instance must be initialized using the following function:

PyObject *PyModuleDef_Init(PyModuleDef *def)

Part of the Stable ABI since version 3.5.

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

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

Calling this function is required for Multi-phase initialization. It should not be used in other contexts.

Note that Python assumes that PyModuleDef structures are statically allocated. This function may return either a new reference or a borrowed one; this reference must not be released.

Added in version 3.5.

Legacy single-phase initialization

In single-phase initialization, the initialization function (PyInit_modulename) should create, populate and return a module object. This is typically done using PyModule_Create() and functions like PyModule_AddObjectRef().

Single-phase initialization differs from the default in the following ways:

• Single-phase modules are, or rather contain, “singletons”.

  When the module is first initialized, Python saves the contents of the module’s __dict__ (that is, typically, the module’s functions and types).

  For subsequent imports, Python does not call the initialization function again. Instead, it creates a new module object with a new __dict__, and copies the saved contents to it. For example, given a single-phase module _testsinglephase [1] that defines a function sum and an exception class error:

  >>> import sys
  >>> import _testsinglephase as one
  >>> del sys.modules['_testsinglephase']
  >>> import _testsinglephase as two
  >>> one is two
  False
  >>> one.__dict__ is two.__dict__
  False
  >>> one.sum is two.sum
  True
  >>> one.error is two.error
  True
  

  The exact behavior should be considered a CPython implementation detail.

• To work around the fact that PyInit_modulename does not take a spec argument, some state of the import machinery is saved and applied to the first suitable module created during the PyInit_modulename call. Specifically, when a sub-module is imported, this mechanism prepends the parent package name to the name of the module.

  A single-phase PyInit_modulename function should create “its” module object as soon as possible, before any other module objects can be created.

• Non-ASCII module names (PyInitU_modulename) are not supported.
• Single-phase modules support module lookup functions like PyState_FindModule().