python-peps/pep-0674.rst

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PEP: 674
Title: Disallow using macros as l-value
Author: Victor Stinner <vstinner@python.org>
Status: Draft
Type: Standards Track
Content-Type: text/x-rst
Created: 01-Dec-2021
Python-Version: 3.11
Abstract
========
Incompatible C API change disallowing using macros as l-value to:
* Allow evolving CPython internals;
* Ease the C API implementation on other Python implementation;
* Help migrating existing C extensions to the HPy API.
On the PyPI top 5000 projects, only 14 projects (0.3%) are affected by 4
macro changes. Moreover, 24 projects just have to regenerate their
Cython code to use ``Py_SET_TYPE()``.
In practice, the majority of affected projects only have to make two
changes:
* Replace ``Py_TYPE(obj) = new_type;``
with ``Py_SET_TYPE(obj, new_type);``.
* Replace ``Py_SIZE(obj) = new_size;``
with ``Py_SET_SIZE(obj, new_size);``.
Rationale
=========
Using a macro as a l-value
--------------------------
In the Python C API, some functions are implemented as macro because
writing a macro is simpler than writing a regular function. If a macro
exposes directly a struture member, it is technically possible to use
this macro to not only get the structure member but also set it.
Example with the Python 3.10 ``Py_TYPE()`` macro::
#define Py_TYPE(ob) (((PyObject *)(ob))->ob_type)
This macro can be used as a **r-value** to **get** an object type::
type = Py_TYPE(object);
It can also be used as **l-value** to **set** an object type::
Py_TYPE(object) = new_type;
It is also possible to set an object reference count and an object size
using ``Py_REFCNT()`` and ``Py_SIZE()`` macros.
Setting directly an object attribute relies on the current exact CPython
implementation. Implementing this feature in other Python
implementations can make their C API implementation less efficient.
CPython nogil fork
------------------
Sam Gross forked Python 3.8 to remove the GIL: the `nogil branch
<https://github.com/colesbury/nogil/>`_. This fork has no
``PyObject.ob_refcnt`` member, but a more elaborated implementation for
reference counting, and so the ``Py_REFCNT(obj) = new_refcnt;`` code
fails with a compiler error.
Merging the nogil fork into the upstream CPython main branch requires
first to fix this C API compatibility issue. It is a concrete example of
a Python optimization blocked indirectly by the C API.
This issue was already fixed in Python 3.10: the ``Py_REFCNT()`` macro
has been already modified to disallow using it as a l-value.
HPy project
-----------
The `HPy project <https://hpyproject.org/>`_ is a brand new C API for
Python using only handles and function calls: handles are opaque,
structure members cannot be accessed directly,and pointers cannot be
dereferenced.
Disallowing the usage of macros as l-value helps the migration of
existing C extensions to HPy by reducing differences between the C API
and the HPy API.
PyPy cpyext module
------------------
In PyPy, when a Python object is accessed by the Python C API, the PyPy
``cpyext`` module has to convert PyPy object to a CPython object. While
PyPy objects are designed to be efficient with the PyPy JIT compiler,
CPython objects are less efficient and increase the memory usage.
This PEP alone is not enough to get rid of the CPython objects in the
PyPy ``cpyext`` module, but it is a step towards this long term goal.
PyPy already supports HPy which is a better solution in the long term.
Specification
=============
Disallow using macros as l-value
--------------------------------
PyObject and PyVarObject macros
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
* ``Py_TYPE()``: ``Py_SET_TYPE()`` must be used instead
* ``Py_SIZE()``: ``Py_SET_SIZE()`` must be used instead
"GET" macros
^^^^^^^^^^^^
* ``PyByteArray_GET_SIZE()``
* ``PyBytes_GET_SIZE()``
* ``PyCFunction_GET_CLASS()``
* ``PyCFunction_GET_FLAGS()``
* ``PyCFunction_GET_FUNCTION()``
* ``PyCFunction_GET_SELF()``
* ``PyCell_GET()``
* ``PyCode_GetNumFree()``
* ``PyDict_GET_SIZE()``
* ``PyFunction_GET_ANNOTATIONS()``
* ``PyFunction_GET_CLOSURE()``
* ``PyFunction_GET_CODE()``
* ``PyFunction_GET_DEFAULTS()``
* ``PyFunction_GET_GLOBALS()``
* ``PyFunction_GET_KW_DEFAULTS()``
* ``PyFunction_GET_MODULE()``
* ``PyHeapType_GET_MEMBERS()``
* ``PyInstanceMethod_GET_FUNCTION()``
* ``PyList_GET_SIZE()``
* ``PyMemoryView_GET_BASE()``
* ``PyMemoryView_GET_BUFFER()``
* ``PyMethod_GET_FUNCTION()``
* ``PyMethod_GET_SELF()``
* ``PySet_GET_SIZE()``
* ``PyTuple_GET_SIZE()``
* ``PyUnicode_GET_DATA_SIZE()``
* ``PyUnicode_GET_LENGTH()``
* ``PyUnicode_GET_LENGTH()``
* ``PyUnicode_GET_SIZE()``
* ``PyWeakref_GET_OBJECT()``
"AS" macros
^^^^^^^^^^^
* ``PyByteArray_AS_STRING()``
* ``PyBytes_AS_STRING()``
* ``PyFloat_AS_DOUBLE()``
* ``PyUnicode_AS_DATA()``
* ``PyUnicode_AS_UNICODE()``
PyUnicode macros
^^^^^^^^^^^^^^^^
* ``PyUnicode_1BYTE_DATA()``
* ``PyUnicode_2BYTE_DATA()``
* ``PyUnicode_4BYTE_DATA()``
* ``PyUnicode_DATA()``
* ``PyUnicode_IS_ASCII()``
* ``PyUnicode_IS_COMPACT()``
* ``PyUnicode_IS_READY()``
* ``PyUnicode_KIND()``
* ``PyUnicode_READ()``
* ``PyUnicode_READ_CHAR()``
PyDateTime "GET" macros
^^^^^^^^^^^^^^^^^^^^^^^
* ``PyDateTime_DATE_GET_FOLD()``
* ``PyDateTime_DATE_GET_HOUR()``
* ``PyDateTime_DATE_GET_MICROSECOND()``
* ``PyDateTime_DATE_GET_MINUTE()``
* ``PyDateTime_DATE_GET_SECOND()``
* ``PyDateTime_DATE_GET_TZINFO()``
* ``PyDateTime_DELTA_GET_DAYS()``
* ``PyDateTime_DELTA_GET_MICROSECONDS()``
* ``PyDateTime_DELTA_GET_SECONDS()``
* ``PyDateTime_GET_DAY()``
* ``PyDateTime_GET_MONTH()``
* ``PyDateTime_GET_YEAR()``
* ``PyDateTime_TIME_GET_FOLD()``
* ``PyDateTime_TIME_GET_HOUR()``
* ``PyDateTime_TIME_GET_MICROSECOND()``
* ``PyDateTime_TIME_GET_MINUTE()``
* ``PyDateTime_TIME_GET_SECOND()``
* ``PyDateTime_TIME_GET_TZINFO()``
PyDescr macros
^^^^^^^^^^^^^^
* ``PyDescr_NAME()``
* ``PyDescr_TYPE()``
Port C extensions to Python 3.11
--------------------------------
In practice, the majority of projects affected by these PEP only have to
make two changes:
* Replace ``Py_TYPE(obj) = new_type;``
with ``Py_SET_TYPE(obj, new_type);``.
* Replace ``Py_SIZE(obj) = new_size;``
with ``Py_SET_SIZE(obj, new_size);``.
The `pythoncapi_compat project
<https://github.com/pythoncapi/pythoncapi_compat>`_ can be used to
update automatically C extensions: add Python 3.11 support without
losing support with older Python versions. The project provides a header
file which provides ``Py_SET_REFCNT()``, ``Py_SET_TYPE()`` and
``Py_SET_SIZE()`` functions to Python 3.8 and older.
PyTuple_GET_ITEM() and PyList_GET_ITEM()
----------------------------------------
The ``PyTuple_GET_ITEM()`` and ``PyList_GET_ITEM()`` macros are left
unchanged.
The code pattern ``&PyTuple_GET_ITEM(tuple, 0)`` and
``&PyList_GET_ITEM(list, 0)`` is still commonly used to get access to
the inner ``PyObject**`` array.
Changing these macros is out of the scope of this PEP.
Backwards Compatibility
=======================
The proposed C API changes are backward incompatible on purpose.
At December 1, 2021, a code search on the PyPI top 5000 projects (4760
projects in practice, others don't have a source achive) found that
`only 14 projects are affected
<https://bugs.python.org/issue45476#msg407456>`_ (0.3%):
* datatable (1.0.0)
* frozendict (2.1.1)
* guppy3 (3.1.2)
* M2Crypto (0.38.0)
* mecab (python3 (1.0.4)
* mypy (0.910)
* Naked (0.1.31)
* pickle5 (0.0.12)
* pysha3 (1.0.2)
* python-snappy (0.6.0)
* recordclass (0.16.3)
* scipy (1.7.3)
* zodbpickle (2.2.0)
* zstd (1.5.0.2)
These 14 projects only use 4 macros as l-value:
* ``PyDescr_NAME()`` and ``PyDescr_TYPE()`` (2 projects)
* ``Py_SIZE()`` (8 projects)
* ``Py_TYPE()`` (4 projects)
Moreover, `24 projects just have to regenerate their Cython code
<https://bugs.python.org/issue45476#msg407416>`_ to use
``Py_SET_TYPE()``.
This change does not follow the PEP 387 deprecation process. There is no
known way to emit a deprecation warning only when a macro is used as a
l-value, but not when it's used differently (ex: as a r-value).
Rejected Idea: Leave the macros as they are
===========================================
The documentation of each function can discourage developers to use
macros to modify Python objects.
If these is a need to make an assignment, a setter function can be added
and the macro documentation can require to use the setter function. For
example, a ``Py_SET_TYPE()`` function has been added to Python 3.9 and
the ``Py_TYPE()`` documentation now requires to use the
``Py_SET_TYPE()`` function to set an object type.
If developers use macros as l-value, it's their responsibility when
their code breaks, not the Python responsibility. We are operating under
the consenting adults principle: we expect users of the Python C API to
use it as documented and expect them to take care of the fallout, if
things break when they don't.
This idea was rejected because only few developers read the
documentation, and only a minority is tracking changes of the Python C
API documentation. The majority of developers are only using CPython and
so are not aware of compatibility issues with other Python
implementations.
Moreover, continuing to allow using macros as l-value does not solve
issues of the nogil, PyPy and HPy projects.
Macros already modified
=======================
The following C API macros have already been modified to disallow using
them as l-value:
* ``PyCell_SET()``
* ``PyList_SET_ITEM()``
* ``PyTuple_SET_ITEM()``
* ``Py_REFCNT()`` (Python 3.10): ``Py_SET_REFCNT()`` must be used
* ``_PyGCHead_SET_FINALIZED()``
* ``_PyGCHead_SET_NEXT()``
* ``asdl_seq_GET()``
* ``asdl_seq_GET_UNTYPED()``
* ``asdl_seq_LEN()``
* ``asdl_seq_SET()``
* ``asdl_seq_SET_UNTYPED()``
For example, ``PyList_SET_ITEM(list, 0, item) < 0`` now fails with a
compiler error as expected.
References
==========
* `Python C API: Add functions to access PyObject
<https://vstinner.github.io/c-api-abstract-pyobject.html>`_ (October
2021) article by Victor Stinner
* `[C API] Disallow using PyFloat_AS_DOUBLE() as l-value
<https://bugs.python.org/issue45476>`_
(October 2021)
* `[capi-sig] Py_TYPE() and Py_SIZE() become static inline functions
<https://mail.python.org/archives/list/capi-sig@python.org/thread/WGRLTHTHC32DQTACPPX36TPR2GLJAFRB/>`_
(September 2021)
* `[C API] Avoid accessing PyObject and PyVarObject members directly: add Py_SET_TYPE() and Py_IS_TYPE(), disallow Py_TYPE(obj)=type
<https://bugs.python.org/issue39573>`__ (February 2020)
* `bpo-30459: PyList_SET_ITEM could be safer
<https://bugs.python.org/issue30459>`_ (May 2017)
Copyright
=========
This document is placed in the public domain or under the
CC0-1.0-Universal license, whichever is more permissive.