source: vendor/current/lib/talloc/pytalloc_guide.txt

Using talloc in Samba4
======================

.. contents::

Jelmer Vernooij
August 2013

The most current version of this document is available at
   http://samba.org/ftp/unpacked/talloc/pytalloc_guide.txt

pytalloc is a small library that provides glue for wrapping
talloc-allocated objects from C in Python objects.

What is pytalloc, and what is it not?
-------------------------------------

pytalloc is merely a helper library - it provides a convenient base type object
for objects that wrap talloc-maintained memory in C. It won't write your
bindings for you but it will make it easier to write C bindings that involve
talloc, and take away some of the boiler plate.

Python 3
--------

pytalloc can be used with Python 3. Usage from Python extension remains
the same, but for the C utilities, the library to link to is tagged with
Python's PEP3149 ABI tag, for example "pytalloc.cpython34m".
To make a build for Python 3, configure with PYTHON=/usr/bin/python3.
.
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pytalloc_Object / pytalloc_BaseObject

This is the new base class that all Python objects that wrap talloc pointers
derive from. It is itself a subclass of the "Object" type that all objects
in Python derive from.

Note that you will almost never create objects of the pytalloc_Object type
itself, as they are just opaque pointers that can not be accessed from
Python. A common pattern is other objects that subclass pytalloc_Object and
rely on it for their memory management.

Each `pytalloc_Object` wraps two core of information - a talloc context
and a pointer. The pointer is the actual data that is wrapped. The talloc
context is used for memory management purposes only; when the wrapping Python object
goes away, it unlinks the talloc context. The talloc context pointer and the ptr
can (and often do) have the same value.

Each pytalloc_Object has a custom __repr__ implementation that
describes that it is a talloc object and the location of the
pointer it is wrapping. it also has a custom __cmp__/__eq__/__neq__ method that
compares the pointers the object is wrapping rather than the objects
themselves (since there can be multiple objects that wrap the same talloc
pointer).

It is preferred to use pytalloc_BaseObject as this implementation
exposes less in the C ABI and correctly supports pointers in C arrays
in the way needed by PIDL.

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PyTypeObject *pytalloc_GetObjectType(void)

Obtain a pointer to the PyTypeObject for `pytalloc_Object`. The
reference counter for the object will be NOT incremented, so the
caller MUST NOT decrement it when it no longer needs it (eg by using
`Py_DECREF`).

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PyTypeObject *pytalloc_GetBaseObjectType(void)

Obtain a pointer to the PyTypeObject for `pytalloc_BaseObject`. The
reference counter for the object will be NOT incremented, so the
caller MUST NOT decrement it when it no longer needs it (eg by using
`Py_DECREF`).

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int pytalloc_BaseObject_PyType_Ready(PyTypeObject *type);

Wrapper for PyType_Ready() that will set the correct values into
the PyTypeObject to create a BaseObject

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int pytalloc_Check(PyObject *)

Check whether a specific object is a talloc Object. Returns non-zero if it is
a pytalloc_Object and zero otherwise.

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int pytalloc_BaseObject_Check(PyObject *)

Check whether a specific object is a talloc BaseObject. Returns non-zero if it is
a pytalloc_BaseObject and zero otherwise.

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type *pytalloc_get_type(PyObject *py_obj, type)

Retrieve the pointer from a `pytalloc_Object` py_obj. type should be a
C type, similar to a type passed to `talloc_get_type`.

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pytalloc_get_ptr(PyObject *py_obj)

Retrieve the pointer from a `pytalloc_Object` or `pytalloc_BaseObject`
py_obj. There is no type checking - use `pytalloc_get_type` if
possible.

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TALLOC_CTX *pytalloc_get_mem_ctx(PyObject *py_obj)

Retrieve the talloc context associated with a pytalloc_Object or pytalloc_BaseObject.

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PyObject *pytalloc_steal_ex(PyTypeObject *py_type, TALLOC_CTX *mem_ctx, void *ptr)

Create a new Python wrapping object for a talloc pointer and context, with
py_type as associated Python sub type object.

This will *not* increment the reference counter for the talloc context,
so the caller should make sure such an increment has happened. When the Python
object goes away, it will unreference the talloc context.

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PyObject *pytalloc_steal(PyTypeObject *py_type, void *ptr)

Create a new Python wrapping object for a talloc pointer and context, with
py_type as associated Python sub type object.

This will *not* increment the reference counter for the talloc context,
so the caller should make sure such an increment has happened. When the Python
object goes away, it will unreference the talloc context.

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PyObject *pytalloc_reference_ex(PyTypeObject *py_type, TALLOC_CTX *mem_ctx, void *ptr)

Create a new Python wrapping object for a talloc pointer and context, with
py_type as associated Python sub type object.

This will increment the reference counter for the talloc context.

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PyObject *pytalloc_reference(PyTypeObject *py_type, void *talloc_ptr)

Create a new Python wrapping object for a talloc pointer, with
py_type as associated Python sub type object. The pointer will also be used
as the talloc context.

This will increment the reference counter for the talloc context.

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PyObject *pytalloc_new(type, PyTypeObject *typeobj)

Create a new, empty pytalloc_Object with the specified Python type object. type
should be a C type, similar to talloc_new().

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PyObject *pytalloc_CObject_FromTallocPtr(void *);

Create a new pytalloc_Object for an abitrary talloc-maintained C pointer. This will
use a generic VoidPtr Python type, which just provides an opaque object in
Python. The caller is responsible for incrementing the talloc reference count before calling
this function - it will dereference the talloc pointer when it is garbage collected.

This function is only available on Python 2.

Debug function for talloc in Python
-----------------------------------

The "talloc" module in Python provides a couple of functions that can be used
to debug issues with objects wrapped by pytalloc.

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report_full(obj?)

Print a full report on a specific object or on all allocated objects by Python.
Same behaviour as the `talloc_report_full()` function that is provided by
C talloc.

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enable_null_tracking()

This enables tracking of the NULL memory context without enabling leak
reporting on exit. Useful for when you want to do your own leak
reporting call via talloc_report_null_full().

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pytalloc_total_blocks(obj?)

Return the talloc block count for all allocated objects or a specific object if
specified.