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Remove references in documentation; also rewrite a paragraph that looked off-topic to me.
201 lines
8.3 KiB
ReStructuredText
201 lines
8.3 KiB
ReStructuredText
.. highlightlang:: c
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.. _common-structs:
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Common Object Structures
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========================
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There are a large number of structures which are used in the definition of
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object types for Python. This section describes these structures and how they
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are used.
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All Python objects ultimately share a small number of fields at the beginning of
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the object's representation in memory. These are represented by the
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:ctype:`PyObject` and :ctype:`PyVarObject` types, which are defined, in turn, by
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the expansions of some macros also used, whether directly or indirectly, in the
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definition of all other Python objects.
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.. ctype:: PyObject
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All object types are extensions of this type. This is a type which contains the
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information Python needs to treat a pointer to an object as an object. In a
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normal "release" build, it contains only the object's reference count and a
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pointer to the corresponding type object. It corresponds to the fields defined
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by the expansion of the ``PyObject_HEAD`` macro.
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.. ctype:: PyVarObject
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This is an extension of :ctype:`PyObject` that adds the :attr:`ob_size` field.
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This is only used for objects that have some notion of *length*. This type does
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not often appear in the Python/C API. It corresponds to the fields defined by
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the expansion of the ``PyObject_VAR_HEAD`` macro.
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These macros are used in the definition of :ctype:`PyObject` and
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:ctype:`PyVarObject`:
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.. XXX need to document PEP 3123 changes here
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.. cmacro:: PyObject_HEAD
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This is a macro which expands to the declarations of the fields of the
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:ctype:`PyObject` type; it is used when declaring new types which represent
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objects without a varying length. The specific fields it expands to depend on
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the definition of :cmacro:`Py_TRACE_REFS`. By default, that macro is not
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defined, and :cmacro:`PyObject_HEAD` expands to::
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Py_ssize_t ob_refcnt;
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PyTypeObject *ob_type;
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When :cmacro:`Py_TRACE_REFS` is defined, it expands to::
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PyObject *_ob_next, *_ob_prev;
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Py_ssize_t ob_refcnt;
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PyTypeObject *ob_type;
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.. cmacro:: PyObject_VAR_HEAD
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This is a macro which expands to the declarations of the fields of the
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:ctype:`PyVarObject` type; it is used when declaring new types which represent
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objects with a length that varies from instance to instance. This macro always
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expands to::
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PyObject_HEAD
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Py_ssize_t ob_size;
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Note that :cmacro:`PyObject_HEAD` is part of the expansion, and that its own
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expansion varies depending on the definition of :cmacro:`Py_TRACE_REFS`.
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.. cmacro:: PyObject_HEAD_INIT
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.. ctype:: PyCFunction
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Type of the functions used to implement most Python callables in C. Functions of
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this type take two :ctype:`PyObject\*` parameters and return one such value. If
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the return value is *NULL*, an exception shall have been set. If not *NULL*,
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the return value is interpreted as the return value of the function as exposed
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in Python. The function must return a new reference.
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.. ctype:: PyCFunctionWithKeywords
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Type of the functions used to implement Python callables in C that take
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keyword arguments: they take three :ctype:`PyObject\*` parameters and return
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one such value. See :ctype:`PyCFunction` above for the meaning of the return
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value.
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.. ctype:: PyMethodDef
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Structure used to describe a method of an extension type. This structure has
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four fields:
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+------------------+-------------+-------------------------------+
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| Field | C Type | Meaning |
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+==================+=============+===============================+
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| :attr:`ml_name` | char \* | name of the method |
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+------------------+-------------+-------------------------------+
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| :attr:`ml_meth` | PyCFunction | pointer to the C |
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| | | implementation |
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+------------------+-------------+-------------------------------+
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| :attr:`ml_flags` | int | flag bits indicating how the |
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| | | call should be constructed |
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+------------------+-------------+-------------------------------+
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| :attr:`ml_doc` | char \* | points to the contents of the |
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| | | docstring |
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+------------------+-------------+-------------------------------+
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The :attr:`ml_meth` is a C function pointer. The functions may be of different
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types, but they always return :ctype:`PyObject\*`. If the function is not of
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the :ctype:`PyCFunction`, the compiler will require a cast in the method table.
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Even though :ctype:`PyCFunction` defines the first parameter as
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:ctype:`PyObject\*`, it is common that the method implementation uses a the
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specific C type of the *self* object.
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The :attr:`ml_flags` field is a bitfield which can include the following flags.
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The individual flags indicate either a calling convention or a binding
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convention. Of the calling convention flags, only :const:`METH_VARARGS` and
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:const:`METH_KEYWORDS` can be combined (but note that :const:`METH_KEYWORDS`
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alone is equivalent to ``METH_VARARGS | METH_KEYWORDS``). Any of the calling
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convention flags can be combined with a binding flag.
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.. data:: METH_VARARGS
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This is the typical calling convention, where the methods have the type
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:ctype:`PyCFunction`. The function expects two :ctype:`PyObject\*` values. The
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first one is the *self* object for methods; for module functions, it has the
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value given to :cfunc:`Py_InitModule4` (or *NULL* if :cfunc:`Py_InitModule` was
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used). The second parameter (often called *args*) is a tuple object
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representing all arguments. This parameter is typically processed using
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:cfunc:`PyArg_ParseTuple` or :cfunc:`PyArg_UnpackTuple`.
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.. data:: METH_KEYWORDS
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Methods with these flags must be of type :ctype:`PyCFunctionWithKeywords`. The
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function expects three parameters: *self*, *args*, and a dictionary of all the
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keyword arguments. The flag is typically combined with :const:`METH_VARARGS`,
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and the parameters are typically processed using
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:cfunc:`PyArg_ParseTupleAndKeywords`.
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.. data:: METH_NOARGS
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Methods without parameters don't need to check whether arguments are given if
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they are listed with the :const:`METH_NOARGS` flag. They need to be of type
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:ctype:`PyCFunction`. When used with object methods, the first parameter is
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typically named ``self`` and will hold a reference to the object instance. In
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all cases the second parameter will be *NULL*.
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.. data:: METH_O
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Methods with a single object argument can be listed with the :const:`METH_O`
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flag, instead of invoking :cfunc:`PyArg_ParseTuple` with a ``"O"`` argument.
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They have the type :ctype:`PyCFunction`, with the *self* parameter, and a
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:ctype:`PyObject\*` parameter representing the single argument.
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These two constants are not used to indicate the calling convention but the
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binding when use with methods of classes. These may not be used for functions
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defined for modules. At most one of these flags may be set for any given
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method.
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.. data:: METH_CLASS
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.. index:: builtin: classmethod
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The method will be passed the type object as the first parameter rather than an
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instance of the type. This is used to create *class methods*, similar to what
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is created when using the :func:`classmethod` built-in function.
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.. data:: METH_STATIC
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.. index:: builtin: staticmethod
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The method will be passed *NULL* as the first parameter rather than an instance
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of the type. This is used to create *static methods*, similar to what is
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created when using the :func:`staticmethod` built-in function.
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One other constant controls whether a method is loaded in place of another
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definition with the same method name.
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.. data:: METH_COEXIST
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The method will be loaded in place of existing definitions. Without
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*METH_COEXIST*, the default is to skip repeated definitions. Since slot
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wrappers are loaded before the method table, the existence of a *sq_contains*
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slot, for example, would generate a wrapped method named :meth:`__contains__`
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and preclude the loading of a corresponding PyCFunction with the same name.
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With the flag defined, the PyCFunction will be loaded in place of the wrapper
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object and will co-exist with the slot. This is helpful because calls to
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PyCFunctions are optimized more than wrapper object calls.
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