A C extension for CPython is a shared library (for example, a .so file
on Linux, .pyd DLL on Windows), which is loadable into the Python process
(for example, it is compiled with compatible compiler settings), and which
exports an export hook function (or an
old-style initialization function).
To be importable by default (that is, by
importlib.machinery.ExtensionFileLoader),
the shared library must be available on sys.path,
and must be named after the module name plus an extension listed in
importlib.machinery.EXTENSION_SUFFIXES.
Note
Building, packaging and distributing extension modules is best done with third-party tools, and is out of scope of this document. One suitable tool is Setuptools, whose documentation can be found at https://setuptools.pypa.io/en/latest/setuptools.html.
Added in version 3.15: Support for the PyModExport_<name> export hook was added in Python
3.15. The older way of defining modules is still available: consult either
the PyInit function section or earlier versions of this
documentation if you plan to support earlier Python versions.
The export hook must be an exported function with the following signature:
For modules with ASCII-only names, the export hook
must be named PyModExport_<name>,
with <name> replaced by the module’s name.
For non-ASCII module names, the export hook must instead be named
PyModExportU_<name> (note the U), with <name> encoded using
Python’s punycode encoding with hyphens replaced by underscores. In Python:
def hook_name(name):
try:
suffix = b'_' + name.encode('ascii')
except UnicodeEncodeError:
suffix = b'U_' + name.encode('punycode').replace(b'-', b'_')
return b'PyModExport' + suffix
The export hook returns an array of PyModuleDef_Slot entries,
terminated by an entry with a slot ID of 0.
These slots describe how the module should be created and initialized.
This array must remain valid and constant until interpreter shutdown.
Typically, it should use static storage.
Prefer using the Py_mod_create and Py_mod_exec slots
for any dynamic behavior.
The export hook may return NULL with an exception set to signal failure.
It is recommended to define the export hook function using a helper macro:
Declare an extension module export hook. This macro:
specifies the PyModuleDef_Slot* 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:
PyABIInfo_VAR(abi_info);
static PyModuleDef_Slot spam_slots[] = {
{Py_mod_abi, &abi_info},
{Py_mod_name, "spam"},
{Py_mod_init, spam_init_function},
...
{0, NULL},
};
PyMODEXPORT_FUNC
PyModExport_spam(void)
{
return spam_slots;
}
The export hook is typically the only non-static
item defined in the module’s C source.
The hook should be kept short – ideally, one line as above.
If you do need to use Python C API in this function, it is recommended to call
PyABIInfo_Check(&abi_info, "modulename") first to raise an exception,
rather than crash, in common cases of ABI mismatch.
Note
It is possible to export multiple modules from a single shared library by defining multiple export hooks. However, importing them requires a custom importer or suitably named copies/links of the extension file, because Python’s import machinery only finds the function corresponding to the filename. See the Multiple modules in one library section in PEP 489 for details.
The process of creating an extension module follows several phases:
Python finds and calls the export hook to get information on how to create the module.
Before any substantial code is executed, Python can determine which
capabilities the module supports, and it can adjust the environment or
refuse loading an incompatible extension.
Slots like Py_mod_abi, Py_mod_gil and
Py_mod_multiple_interpreters influence this step.
By default, Python itself then creates the module object – that is, it does
the equivalent of calling __new__() when creating an object.
This step can be overridden using the Py_mod_create slot.
Python sets initial module attributes like __package__ and
__loader__, and inserts the module object into
sys.modules.
Afterwards, the module object is initialized in an extension-specific way
– the equivalent of __init__() when creating an object,
or of executing top-level code in a Python-language module.
The behavior is specified using the Py_mod_exec slot.
This is called multi-phase initialization to distinguish it from the legacy (but still supported) single-phase initialization, where an initialization function returns a fully constructed module.
Changed in version 3.5: Added support for multi-phase initialization (PEP 489).
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.
PyInit function¶Deprecated since version 3.15: This functionality is soft deprecated. It will not get new features, but there are no plans to remove it.
Instead of PyModExport_modulename(), an extension module can define
an older-style initialization function with the signature:
Its name should be PyInit_<name>, with <name> replaced by the
name of the module.
For non-ASCII module names, use PyInitU_<name> instead, with
<name> encoded in the same way as for the
export hook (that is, using Punycode
with underscores).
If a module exports both PyInit_<name> and
PyModExport_<name>, the PyInit_<name> function
is ignored.
Like with PyMODEXPORT_FUNC, it is recommended to define the
initialization function using a helper macro:
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".
Normally, the initialization function (PyInit_modulename) returns
a PyModuleDef instance with non-NULL
m_slots. This allows Python to use
multi-phase initialization.
Before it is returned, the PyModuleDef instance must be initialized
using the following function:
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 before returning a PyModuleDef
from a module initialization function.
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.
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);
}
Deprecated since version 3.15: Single-phase initialization is soft deprecated. It is a legacy mechanism to initialize extension modules, with known drawbacks and design flaws. Extension module authors are encouraged to use multi-phase initialization instead.
However, there are no plans to remove support for it.
In single-phase initialization, the old-style
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().
The module’s PyModuleDef.m_slots must be NULL.