Allocating Objects on the Heap

PyObject* _PyObject_New(PyTypeObject *type)

Return value: New reference.

PyVarObject* _PyObject_NewVar(PyTypeObject *type, Py_ssize_t size)

Return value: New reference.

PyObject* PyObject_Init(PyObject *op, PyTypeObject *type)

Return value: Borrowed reference.

Initialize a newly-allocated object op with its type and initial reference. Returns the initialized object. If type indicates that the object participates in the cyclic garbage detector, it is added to the detector’s set of observed objects. Other fields of the object are not affected.

PyVarObject* PyObject_InitVar(PyVarObject *op, PyTypeObject *type, Py_ssize_t size)

Return value: Borrowed reference.

This does everything PyObject_Init does, and also initializes the length information for a variable-size object.

TYPE* PyObject_New(TYPE, PyTypeObject *type)

Return value: New reference.

Allocate a new Python object using the C structure type TYPE and the Python type object type. Fields not defined by the Python object header are not initialized; the object’s reference count will be one. The size of the memory allocation is determined from the tp_basicsize field of the type object.

TYPE* PyObject_NewVar(TYPE, PyTypeObject *type, Py_ssize_t size)

Return value: New reference.

Allocate a new Python object using the C structure type TYPE and the Python type object type. Fields not defined by the Python object header are not initialized. The allocated memory allows for the TYPE structure plus size fields of the size given by the tp_itemsize field of type. This is useful for implementing objects like tuples, which are able to determine their size at construction time. Embedding the array of fields into the same allocation decreases the number of allocations, improving the memory management efficiency.

void PyObject_Del(PyObject *op)

Releases memory allocated to an object using PyObject_New or PyObject_NewVar. This is normally called from the tp_dealloc handler specified in the object’s type. The fields of the object should not be accessed after this call as the memory is no longer a valid Python object.

PyObject* Py_InitModule(char *name, PyMethodDef *methods)

Return value: Borrowed reference.

Create a new module object based on a name and table of functions, returning the new module object; the methods argument can be NULL if no methods are to be defined for the module.

PyObject* Py_InitModule3(char *name, PyMethodDef *methods, char *doc)

Return value: Borrowed reference.

Create a new module object based on a name and table of functions, returning the new module object. The methods argument can be NULL if no methods are to be defined for the module. If doc is non-NULL, it will be used to define the docstring for the module.

PyObject* Py_InitModule4(char *name, PyMethodDef *methods, char *doc, PyObject *self, int apiver)

Return value: Borrowed reference.

Create a new module object based on a name and table of functions, returning the new module object. The methods argument can be NULL if no methods are to be defined for the module. If doc is non-NULL, it will be used to define the docstring for the module. If self is non-NULL, it will passed to the functions of the module as their (otherwise NULL) first parameter. (This was added as an experimental feature, and there are no known uses in the current version of Python.) For apiver, the only value which should be passed is defined by the constant PYTHON_API_VERSION.

Note

Most uses of this function should probably be using the Py_InitModule3 instead; only use this if you are sure you need it.

PyObject _Py_NoneStruct

Object which is visible in Python as None. This should only be accessed using the Py_None macro, which evaluates to a pointer to this object.