Doc/c-api/structures.rst

.. highlight:: c

.. _common-structs:

Common Object Structures
========================

There are a large number of structures which are used in the definition of
object types for Python.  This section describes these structures and how they
are used.


Base object types and macros
----------------------------

All Python objects ultimately share a small number of fields at the beginning
of the object's representation in memory.  These are represented by the
:c:type:`PyObject` and :c:type:`PyVarObject` types, which are defined, in turn,
by the expansions of some macros also used, whether directly or indirectly, in
the definition of all other Python objects.


.. c:type:: PyObject

   All object types are extensions of this type.  This is a type which
   contains the information Python needs to treat a pointer to an object as an
   object.  In a normal "release" build, it contains only the object's
   reference count and a pointer to the corresponding type object.
   Nothing is actually declared to be a :c:type:`PyObject`, but every pointer
   to a Python object can be cast to a :c:type:`PyObject*`.  Access to the
   members must be done by using the macros :c:macro:`Py_REFCNT` and
   :c:macro:`Py_TYPE`.


.. c:type:: PyVarObject

   This is an extension of :c:type:`PyObject` that adds the :attr:`ob_size`
   field.  This is only used for objects that have some notion of *length*.
   This type does not often appear in the Python/C API.
   Access to the members must be done by using the macros
   :c:macro:`Py_REFCNT`, :c:macro:`Py_TYPE`, and :c:macro:`Py_SIZE`.


.. c:macro:: PyObject_HEAD

   This is a macro used when declaring new types which represent objects
   without a varying length.  The PyObject_HEAD macro expands to::

      PyObject ob_base;

   See documentation of :c:type:`PyObject` above.


.. c:macro:: PyObject_VAR_HEAD

   This is a macro used when declaring new types which represent objects
   with a length that varies from instance to instance.
   The PyObject_VAR_HEAD macro expands to::

      PyVarObject ob_base;

   See documentation of :c:type:`PyVarObject` above.


.. c:function:: PyTypeObject* Py_TYPE(const PyObject *o)

   Get the type of the Python object *o*.

   Return a :term:`borrowed reference`.

   .. versionchanged:: 3.10
      :c:func:`Py_TYPE()` is changed to the inline static function.
      Use :c:func:`Py_SET_TYPE()` to set an object type.


.. c:function:: int Py_IS_TYPE(PyObject *o, PyTypeObject *type)

   Return non-zero if the object *o* type is *type*. Return zero otherwise.
   Equivalent to: ``Py_TYPE(o) == type``.

   .. versionadded:: 3.9


.. c:function:: void Py_SET_TYPE(PyObject *o, PyTypeObject *type)

   Set the object *o* type to *type*.

   .. versionadded:: 3.9


.. c:function:: Py_ssize_t Py_REFCNT(const PyObject *o)

   Get the reference count of the Python object *o*.

   .. versionchanged:: 3.10
      :c:func:`Py_REFCNT()` is changed to the inline static function.
      Use :c:func:`Py_SET_REFCNT()` to set an object reference count.


.. c:function:: void Py_SET_REFCNT(PyObject *o, Py_ssize_t refcnt)

   Set the object *o* reference counter to *refcnt*.

   .. versionadded:: 3.9


.. c:function:: Py_ssize_t Py_SIZE(const PyVarObject *o)

   Get the size of the Python object *o*.

   .. versionchanged:: 3.10
      :c:func:`Py_SIZE()` is changed to the inline static function.
      Use :c:func:`Py_SET_SIZE()` to set an object size.


.. c:function:: void Py_SET_SIZE(PyVarObject *o, Py_ssize_t size)

   Set the object *o* size to *size*.

   .. versionadded:: 3.9


.. c:macro:: PyObject_HEAD_INIT(type)

   This is a macro which expands to initialization values for a new
   :c:type:`PyObject` type.  This macro expands to::

      _PyObject_EXTRA_INIT
      1, type,


.. c:macro:: PyVarObject_HEAD_INIT(type, size)

   This is a macro which expands to initialization values for a new
   :c:type:`PyVarObject` type, including the :attr:`ob_size` field.
   This macro expands to::

      _PyObject_EXTRA_INIT
      1, type, size,


Implementing functions and methods
----------------------------------

.. c:type:: PyCFunction

   Type of the functions used to implement most Python callables in C.
   Functions of this type take two :c:type:`PyObject*` parameters and return
   one such value.  If the return value is ``NULL``, an exception shall have
   been set.  If not ``NULL``, the return value is interpreted as the return
   value of the function as exposed in Python.  The function must return a new
   reference.

   The function signature is::

      PyObject *PyCFunction(PyObject *self,
                            PyObject *args);

.. c:type:: PyCFunctionWithKeywords

   Type of the functions used to implement Python callables in C
   with signature :const:`METH_VARARGS | METH_KEYWORDS`.
   The function signature is::

      PyObject *PyCFunctionWithKeywords(PyObject *self,
                                        PyObject *args,
                                        PyObject *kwargs);


.. c:type:: _PyCFunctionFast

   Type of the functions used to implement Python callables in C
   with signature :const:`METH_FASTCALL`.
   The function signature is::

      PyObject *_PyCFunctionFast(PyObject *self,
                                 PyObject *const *args,
                                 Py_ssize_t nargs);

.. c:type:: _PyCFunctionFastWithKeywords

   Type of the functions used to implement Python callables in C
   with signature :const:`METH_FASTCALL | METH_KEYWORDS`.
   The function signature is::

      PyObject *_PyCFunctionFastWithKeywords(PyObject *self,
                                             PyObject *const *args,
                                             Py_ssize_t nargs,
                                             PyObject *kwnames);

.. c:type:: PyCMethod

   Type of the functions used to implement Python callables in C
   with signature :const:`METH_METHOD | METH_FASTCALL | METH_KEYWORDS`.
   The function signature is::

      PyObject *PyCMethod(PyObject *self,
                          PyTypeObject *defining_class,
                          PyObject *const *args,
                          Py_ssize_t nargs,
                          PyObject *kwnames)

   .. versionadded:: 3.9


.. c:type:: PyMethodDef

   Structure used to describe a method of an extension type.  This structure has
   four fields:

   +------------------+---------------+-------------------------------+
   | Field            | C Type        | Meaning                       |
   +==================+===============+===============================+
   | :attr:`ml_name`  | const char \* | name of the method            |
   +------------------+---------------+-------------------------------+
   | :attr:`ml_meth`  | PyCFunction   | pointer to the C              |
   |                  |               | implementation                |
   +------------------+---------------+-------------------------------+
   | :attr:`ml_flags` | int           | flag bits indicating how the  |
   |                  |               | call should be constructed    |
   +------------------+---------------+-------------------------------+
   | :attr:`ml_doc`   | const char \* | points to the contents of the |
   |                  |               | docstring                     |
   +------------------+---------------+-------------------------------+

The :attr:`ml_meth` is a C function pointer.  The functions may be of different
types, but they always return :c:type:`PyObject*`.  If the function is not of
the :c:type:`PyCFunction`, the compiler will require a cast in the method table.
Even though :c:type:`PyCFunction` defines the first parameter as
:c:type:`PyObject*`, it is common that the method implementation uses the
specific C type of the *self* object.

The :attr:`ml_flags` field is a bitfield which can include the following flags.
The individual flags indicate either a calling convention or a binding
convention.

There are these calling conventions:

.. data:: METH_VARARGS

   This is the typical calling convention, where the methods have the type
   :c:type:`PyCFunction`. The function expects two :c:type:`PyObject*` values.
   The first one is the *self* object for methods; for module functions, it is
   the module object.  The second parameter (often called *args*) is a tuple
   object representing all arguments. This parameter is typically processed
   using :c:func:`PyArg_ParseTuple` or :c:func:`PyArg_UnpackTuple`.


.. data:: METH_VARARGS | METH_KEYWORDS

   Methods with these flags must be of type :c:type:`PyCFunctionWithKeywords`.
   The function expects three parameters: *self*, *args*, *kwargs* where
   *kwargs* is a dictionary of all the keyword arguments or possibly ``NULL``
   if there are no keyword arguments.  The parameters are typically processed
   using :c:func:`PyArg_ParseTupleAndKeywords`.


.. data:: METH_FASTCALL

   Fast calling convention supporting only positional arguments.
   The methods have the type :c:type:`_PyCFunctionFast`.
   The first parameter is *self*, the second parameter is a C array
   of :c:type:`PyObject*` values indicating the arguments and the third
   parameter is the number of arguments (the length of the array).

   .. versionadded:: 3.7

   .. versionchanged:: 3.10

      ``METH_FASTCALL`` is now part of the stable ABI.


.. data:: METH_FASTCALL | METH_KEYWORDS

   Extension of :const:`METH_FASTCALL` supporting also keyword arguments,
   with methods of type :c:type:`_PyCFunctionFastWithKeywords`.
   Keyword arguments are passed the same way as in the
   :ref:`vectorcall protocol <vectorcall>`:
   there is an additional fourth :c:type:`PyObject*` parameter
   which is a tuple representing the names of the keyword arguments
   (which are guaranteed to be strings)
   or possibly ``NULL`` if there are no keywords.  The values of the keyword
   arguments are stored in the *args* array, after the positional arguments.

   This is not part of the :ref:`limited API <stable>`.

   .. versionadded:: 3.7


.. data:: METH_METHOD | METH_FASTCALL | METH_KEYWORDS

   Extension of :const:`METH_FASTCALL | METH_KEYWORDS` supporting the *defining
   class*, that is, the class that contains the method in question.
   The defining class might be a superclass of ``Py_TYPE(self)``.

   The method needs to be of type :c:type:`PyCMethod`, the same as for
   ``METH_FASTCALL | METH_KEYWORDS`` with ``defining_class`` argument added after
   ``self``.

   .. versionadded:: 3.9


.. data:: METH_NOARGS

   Methods without parameters don't need to check whether arguments are given if
   they are listed with the :const:`METH_NOARGS` flag.  They need to be of type
   :c:type:`PyCFunction`.  The first parameter is typically named *self* and will
   hold a reference to the module or object instance.  In all cases the second
   parameter will be ``NULL``.


.. data:: METH_O

   Methods with a single object argument can be listed with the :const:`METH_O`
   flag, instead of invoking :c:func:`PyArg_ParseTuple` with a ``"O"`` argument.
   They have the type :c:type:`PyCFunction`, with the *self* parameter, and a
   :c:type:`PyObject*` parameter representing the single argument.


These two constants are not used to indicate the calling convention but the
binding when use with methods of classes.  These may not be used for functions
defined for modules.  At most one of these flags may be set for any given
method.


.. data:: METH_CLASS

   .. index:: builtin: classmethod

   The method will be passed the type object as the first parameter rather
   than an instance of the type.  This is used to create *class methods*,
   similar to what is created when using the :func:`classmethod` built-in
   function.


.. data:: METH_STATIC

   .. index:: builtin: staticmethod

   The method will be passed ``NULL`` as the first parameter rather than an
   instance of the type.  This is used to create *static methods*, similar to
   what is created when using the :func:`staticmethod` built-in function.

One other constant controls whether a method is loaded in place of another
definition with the same method name.


.. data:: METH_COEXIST

   The method will be loaded in place of existing definitions.  Without
   *METH_COEXIST*, the default is to skip repeated definitions.  Since slot
   wrappers are loaded before the method table, the existence of a
   *sq_contains* slot, for example, would generate a wrapped method named
   :meth:`__contains__` and preclude the loading of a corresponding
   PyCFunction with the same name.  With the flag defined, the PyCFunction
   will be loaded in place of the wrapper object and will co-exist with the
   slot.  This is helpful because calls to PyCFunctions are optimized more
   than wrapper object calls.


Accessing attributes of extension types
---------------------------------------

.. c:type:: PyMemberDef

   Structure which describes an attribute of a type which corresponds to a C
   struct member.  Its fields are:

   +------------------+---------------+-------------------------------+
   | Field            | C Type        | Meaning                       |
   +==================+===============+===============================+
   | :attr:`name`     | const char \* | name of the member            |
   +------------------+---------------+-------------------------------+
   | :attr:`!type`    | int           | the type of the member in the |
   |                  |               | C struct                      |
   +------------------+---------------+-------------------------------+
   | :attr:`offset`   | Py_ssize_t    | the offset in bytes that the  |
   |                  |               | member is located on the      |
   |                  |               | type's object struct          |
   +------------------+---------------+-------------------------------+
   | :attr:`flags`    | int           | flag bits indicating if the   |
   |                  |               | field should be read-only or  |
   |                  |               | writable                      |
   +------------------+---------------+-------------------------------+
   | :attr:`doc`      | const char \* | points to the contents of the |
   |                  |               | docstring                     |
   +------------------+---------------+-------------------------------+

   :attr:`!type` can be one of many ``T_`` macros corresponding to various C
   types.  When the member is accessed in Python, it will be converted to the
   equivalent Python type.

   =============== ==================
   Macro name      C type
   =============== ==================
   T_SHORT         short
   T_INT           int
   T_LONG          long
   T_FLOAT         float
   T_DOUBLE        double
   T_STRING        const char \*
   T_OBJECT        PyObject \*
   T_OBJECT_EX     PyObject \*
   T_CHAR          char
   T_BYTE          char
   T_UBYTE         unsigned char
   T_UINT          unsigned int
   T_USHORT        unsigned short
   T_ULONG         unsigned long
   T_BOOL          char
   T_LONGLONG      long long
   T_ULONGLONG     unsigned long long
   T_PYSSIZET      Py_ssize_t
   =============== ==================

   :c:macro:`T_OBJECT` and :c:macro:`T_OBJECT_EX` differ in that
   :c:macro:`T_OBJECT` returns ``None`` if the member is ``NULL`` and
   :c:macro:`T_OBJECT_EX` raises an :exc:`AttributeError`.  Try to use
   :c:macro:`T_OBJECT_EX` over :c:macro:`T_OBJECT` because :c:macro:`T_OBJECT_EX`
   handles use of the :keyword:`del` statement on that attribute more correctly
   than :c:macro:`T_OBJECT`.

   :attr:`flags` can be ``0`` for write and read access or :c:macro:`READONLY` for
   read-only access.  Using :c:macro:`T_STRING` for :attr:`type` implies
   :c:macro:`READONLY`.  :c:macro:`T_STRING` data is interpreted as UTF-8.
   Only :c:macro:`T_OBJECT` and :c:macro:`T_OBJECT_EX`
   members can be deleted.  (They are set to ``NULL``).

   .. _pymemberdef-offsets:

   Heap allocated types (created using :c:func:`PyType_FromSpec` or similar),
   ``PyMemberDef`` may contain definitions for the special members
   ``__dictoffset__``, ``__weaklistoffset__`` and ``__vectorcalloffset__``,
   corresponding to
   :c:member:`~PyTypeObject.tp_dictoffset`,
   :c:member:`~PyTypeObject.tp_weaklistoffset` and
   :c:member:`~PyTypeObject.tp_vectorcall_offset` in type objects.
   These must be defined with ``T_PYSSIZET`` and ``READONLY``, for example::

      static PyMemberDef spam_type_members[] = {
          {"__dictoffset__", T_PYSSIZET, offsetof(Spam_object, dict), READONLY},
          {NULL}  /* Sentinel */
      };

.. c:type:: PyGetSetDef

   Structure to define property-like access for a type. See also description of
   the :c:member:`PyTypeObject.tp_getset` slot.

   +-------------+------------------+-----------------------------------+
   | Field       | C Type           | Meaning                           |
   +=============+==================+===================================+
   | name        | const char \*    | attribute name                    |
   +-------------+------------------+-----------------------------------+
   | get         | getter           | C Function to get the attribute   |
   +-------------+------------------+-----------------------------------+
   | set         | setter           | optional C function to set or     |
   |             |                  | delete the attribute, if omitted  |
   |             |                  | the attribute is readonly         |
   +-------------+------------------+-----------------------------------+
   | doc         | const char \*    | optional docstring                |
   +-------------+------------------+-----------------------------------+
   | closure     | void \*          | optional function pointer,        |
   |             |                  | providing additional data for     |
   |             |                  | getter and setter                 |
   +-------------+------------------+-----------------------------------+

   The ``get`` function takes one :c:type:`PyObject*` parameter (the
   instance) and a function pointer (the associated ``closure``)::

      typedef PyObject *(*getter)(PyObject *, void *);

   It should return a new reference on success or ``NULL`` with a set exception
   on failure.

   ``set`` functions take two :c:type:`PyObject*` parameters (the instance and
   the value to be set) and a function pointer (the associated ``closure``)::

      typedef int (*setter)(PyObject *, PyObject *, void *);

   In case the attribute should be deleted the second parameter is ``NULL``.
   Should return ``0`` on success or ``-1`` with a set exception on failure.