Common Object Structures¶
There are a large number of structures which are used in the definition ofobject types for Python. This section describes these structures and how theyare used.
All Python objects ultimately share a small number of fields at the beginningof the object’s representation in memory. These are represented by thePyObject andPyVarObject types, which are defined, in turn,by the expansions of some macros also used, whether directly or indirectly, inthe definition of all other Python objects.
PyObject¶All object types are extensions of this type. This is a type whichcontains the information Python needs to treat a pointer to an object as anobject. In a normal “release” build, it contains only the object’sreference count and a pointer to the corresponding type object.Nothing is actually declared to be a
PyObject, but every pointerto a Python object can be cast to aPyObject*. Access to themembers must be done by using the macrosPy_REFCNTandPy_TYPE.
PyVarObject¶This is an extension of
PyObjectthat adds theob_sizefield. This is only used for objects that have some notion oflength.This type does not often appear in the Python/C API.Access to the members must be done by using the macrosPy_REFCNT,Py_TYPE, andPy_SIZE.
PyObject_HEAD¶This is a macro used when declaring new types which represent objectswithout a varying length. The PyObject_HEAD macro expands to:
PyObjectob_base;
See documentation of
PyObjectabove.
PyObject_VAR_HEAD¶This is a macro used when declaring new types which represent objectswith a length that varies from instance to instance.The PyObject_VAR_HEAD macro expands to:
PyVarObjectob_base;
See documentation of
PyVarObjectabove.
Py_TYPE(o)¶This macro is used to access the
ob_typemember of a Python object.It expands to:(((PyObject*)(o))->ob_type)
Py_REFCNT(o)¶This macro is used to access the
ob_refcntmember of a Pythonobject.It expands to:(((PyObject*)(o))->ob_refcnt)
Py_SIZE(o)¶This macro is used to access the
ob_sizemember of a Python object.It expands to:(((PyVarObject*)(o))->ob_size)
PyObject_HEAD_INIT(type)¶This is a macro which expands to initialization values for a new
PyObjecttype. This macro expands to:_PyObject_EXTRA_INIT1,type,
PyVarObject_HEAD_INIT(type, size)¶This is a macro which expands to initialization values for a new
PyVarObjecttype, including theob_sizefield.This macro expands to:_PyObject_EXTRA_INIT1,type,size,
PyCFunction¶Type of the functions used to implement most Python callables in C.Functions of this type take two
PyObject*parameters and returnone such value. If the return value isNULL, an exception shall havebeen set. If notNULL, the return value is interpreted as the returnvalue of the function as exposed in Python. The function must return a newreference.
PyCFunctionWithKeywords¶Type of the functions used to implement Python callables in C that takekeyword arguments: they take three
PyObject*parameters and returnone such value. SeePyCFunctionabove for the meaning of the returnvalue.
PyMethodDef¶Structure used to describe a method of an extension type. This structure hasfour fields:
Field C Type Meaning ml_namechar * name of the method ml_methPyCFunction pointer to the Cimplementation ml_flagsint flag bits indicating how thecall should be constructed ml_docchar * points to the contents of thedocstring
Theml_meth is a C function pointer. The functions may be of differenttypes, but they always returnPyObject*. If the function is not ofthePyCFunction, the compiler will require a cast in the method table.Even thoughPyCFunction defines the first parameter asPyObject*, it is common that the method implementation uses thespecific C type of theself object.
Theml_flags field is a bitfield which can include the following flags.The individual flags indicate either a calling convention or a bindingconvention. Of the calling convention flags, onlyMETH_VARARGS andMETH_KEYWORDS can be combined. Any of the calling convention flagscan be combined with a binding flag.
METH_VARARGS¶This is the typical calling convention, where the methods have the type
PyCFunction. The function expects twoPyObject*values.The first one is theself object for methods; for module functions, it isthe module object. The second parameter (often calledargs) is a tupleobject representing all arguments. This parameter is typically processedusingPyArg_ParseTuple()orPyArg_UnpackTuple().
METH_KEYWORDS¶Methods with these flags must be of type
PyCFunctionWithKeywords.The function expects three parameters:self,args, and a dictionary ofall the keyword arguments. The flag must be combined withMETH_VARARGS, and the parameters are typically processed usingPyArg_ParseTupleAndKeywords().
METH_NOARGS¶Methods without parameters don’t need to check whether arguments are given ifthey are listed with the
METH_NOARGSflag. They need to be of typePyCFunction. The first parameter is typically namedself and willhold a reference to the module or object instance. In all cases the secondparameter will beNULL.
METH_O¶Methods with a single object argument can be listed with the
METH_Oflag, instead of invokingPyArg_ParseTuple()with a"O"argument.They have the typePyCFunction, with theself parameter, and aPyObject*parameter representing the single argument.
These two constants are not used to indicate the calling convention but thebinding when use with methods of classes. These may not be used for functionsdefined for modules. At most one of these flags may be set for any givenmethod.
METH_CLASS¶The method will be passed the type object as the first parameter ratherthan an instance of the type. This is used to createclass methods,similar to what is created when using the
classmethod()built-infunction.
METH_STATIC¶The method will be passedNULL as the first parameter rather than aninstance of the type. This is used to createstatic methods, similar towhat is created when using the
staticmethod()built-in function.
One other constant controls whether a method is loaded in place of anotherdefinition with the same method name.
METH_COEXIST¶The method will be loaded in place of existing definitions. WithoutMETH_COEXIST, the default is to skip repeated definitions. Since slotwrappers are loaded before the method table, the existence of asq_contains slot, for example, would generate a wrapped method named
__contains__()and preclude the loading of a correspondingPyCFunction with the same name. With the flag defined, the PyCFunctionwill be loaded in place of the wrapper object and will co-exist with theslot. This is helpful because calls to PyCFunctions are optimized morethan wrapper object calls.
PyMemberDef¶Structure which describes an attribute of a type which corresponds to a Cstruct member. Its fields are:
Field C Type Meaning namechar * name of the member typeint the type of the member in theC struct offsetPy_ssize_t the offset in bytes that themember is located on thetype’s object struct flagsint flag bits indicating if thefield should be read-only orwritable docchar * points to the contents of thedocstring typecan be one of manyT_macros corresponding to various Ctypes. When the member is accessed in Python, it will be converted to theequivalent Python type.Macro name C type T_SHORT short T_INT int T_LONG long T_FLOAT float T_DOUBLE double T_STRING 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 T_OBJECTandT_OBJECT_EXdiffer in thatT_OBJECTreturnsNoneif the member isNULL andT_OBJECT_EXraises anAttributeError. Try to useT_OBJECT_EXoverT_OBJECTbecauseT_OBJECT_EXhandles use of thedelstatement on that attribute more correctlythanT_OBJECT.flagscan be0for write and read access orREADONLYforread-only access. UsingT_STRINGfortypeimpliesREADONLY. OnlyT_OBJECTandT_OBJECT_EXmembers can be deleted. (They are set toNULL).
