New PEP 'Rationalize Built-in function classes'. (#650)

* PEP 576: Rationalize Built-in function classes.
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PEP: 576
Title: Rationalize Built-in function classes
Author: Mark Shannon <mark@hotpy.org>
Status: Draft
Type: Standards Track
Content-Type: text/x-rst
Created: 10-May-2018
Python-Version: 3.8
Post-History: 17-May-2018
Abstract
========
Extend the classes for built-in functions and methods to be more like Python functions. Specifically, built-in functions and methods will gain access to the module they are declared in, and built-in methods will have access to the class they belong to. This will allow tools like Cython to use the standard built-in function and method classes, thus gaining performance parity with built-in functions like ``len`` or ``print``.
Performance of existing code is not expected to change significantly.
One new function will be added to the C API to allow third-party code to create built-in functions in an efficient and portable manner.
Motivation
==========
Currently third-party module authors face a dilemna when implementing
functions in C. Either they can use one of the pre-existing built-in function
or method classes or implement their own custom class in C.
The first choice causes them to lose the ability to access module-level data;
the second choice is an additional maintenance burden and, more importantly,
has a significant negative impact on performance.
This PEP aims to allow authors of third-party C modules, and tools like to Cython, to
utilise the pre-existing built-in function or method classes without a loss of capabilities relative to a function implemented in Python.
Enhanced access to the function's enviroment
--------------------------------------------
Built-in functions will gain efficient access to the module in which they are declared,
and if declared in a class, efficient access to that class as well.
Performance
-----------
No significant change is expected.
Introspection
-------------
No changes to built-in functions are required to support introspection.
The ``inspect.Signature.from_callable()`` function computes the signature of a callable. If an object has a ``__signature__``
property, then ``inspect.Signature.from_callable()`` simply returns that. If a builtin-callable has a ``__text_signature__``
then the ``__signature__`` is created from that.
This means that 3rd party builtin-functions can implement ``__text_signature__`` if sufficient,
and the more expensive ``__signature__`` if necessary.
New classes and changes to existing classes
===========================================
Python visible changes
----------------------
#. A new built-in class, ``builtin_function``, will be added.
#. ``types.BuiltinFunctionType`` will refer to ``builtin_function`` not ``builtin_function_or_method``.
#. Instances of the ``builtin_function`` class will retain the ``__module__`` property of ``builtin_function_or_method`` and gain the ``func_module`` and ``func_globals`` properties. The ``func_module`` allows access to the module to which the function belongs. Note that this is different from the ``__module__`` property which merely returns the name of the module. The ``func_globals`` property is equivalent to ``func_module.__dict__`` and is provided to mimic the Python function property of the same name.
#. The ``method_descriptor`` class will become a sub-class of the new ``builtin_function`` class.
#. When binding a ``method_descriptor`` instance to an instance of its owning class, a ``bound_method`` will be created instead of a ``builtin_function_or_method``. This means that the ``method_descriptors`` now mimic the behaviour of Python functions more closely. In other words, ``[].append`` becomes a ``bound_method`` instead of a ``builtin_function_or_method``.
Note that ``method_descriptor`` instances will only have access to their module if their ``__objclass__`` class has access to its module. If PEP 573 is approved, then that will be possible.
C API changes
-------------
#. A new function ``PyBuiltinFunction_New(PyMethodDef *ml, PyObject *module)`` is added to create built-in functions.
#. ``PyCFunction_NewEx()`` and ``PyCFunction_New()`` are deprecated and will return a ``PyBuiltinFunction`` if able, otherwise a ``builtin_function_or_method``.
Retaining backwards compatibility in the C API and ABI
------------------------------------------------------
The ``PyCFunction_Type`` object will continue to exist for backwards compatibility in the ABI, but no
instances of it would be created in the interpreter or the standard library.
Internal C changes
------------------
The new C struct for built-in functions is::
typedef struct {
PyObject_HEAD
PyMethodDef m_ml; /* Description of the C function to call */
PyObject *m_module; /* The func_module attribute, must be an actual module */
PyObject *m_weakreflist; /* List of weak references */
} PyBuiltinFunctionObject;
and the C struct for ``method_descriptor``\s changes to::
typedef struct {
PyBuiltinFunctionObject base;
PyTypeObject *m_objclass; /* The __objclass__ attibute */
} PyMethodDescrObject;
Possible Extensions
===================
Callables for operators, like ``int.__add__``, could become instances of the ``method_descriptor`` class, instead of the ``slot_wrapper`` class.
This would further reduce the number of classes representing built-in callables, but is not necessary to fulfil the above requirements.
If the ``slot__wrapper`` class were removed, then two new ``METH_`` flags would need to be added.
The new flags would be ``METH_OO`` and ``METH_TRIO`` for two and three argument operators respectively.
Alternative Suggestions
=======================
`PEP 575 <https://www.python.org/dev/peps/pep-0575/>` is an alternative approach to solving the same problem as this PEP.
Copyright
=========
This document has been placed in the public domain.
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