abstract.h: remove long outdated comment

Issue #28838: The documentation is of the Python C API is more complete and
more up to date than this old comment.

Removal suggested by Antoine Pitrou.
This commit is contained in:
Victor Stinner 2016-12-19 13:12:08 +01:00
parent af324157c6
commit b6522d0f77
1 changed files with 2 additions and 118 deletions

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@ -1,127 +1,11 @@
/* Abstract Object Interface (many thanks to Jim Fulton) */
#ifndef Py_ABSTRACTOBJECT_H
#define Py_ABSTRACTOBJECT_H
#ifdef __cplusplus
extern "C" {
#endif
/* Abstract Object Interface (many thanks to Jim Fulton) */
/*
PROPOSAL: A Generic Python Object Interface for Python C Modules
Problem
Python modules written in C that must access Python objects must do
so through routines whose interfaces are described by a set of
include files. Unfortunately, these routines vary according to the
object accessed. To use these routines, the C programmer must check
the type of the object being used and must call a routine based on
the object type. For example, to access an element of a sequence,
the programmer must determine whether the sequence is a list or a
tuple:
if (is_tupleobject(o))
e = gettupleitem(o, i)
else if (is_listitem(o))
e = getlistitem(o, i)
If the programmer wants to get an item from another type of object
that provides sequence behavior, there is no clear way to do it
correctly.
The persistent programmer may peruse object.h and find that the
_typeobject structure provides a means of invoking up to (currently
about) 41 special operators. So, for example, a routine can get an
item from any object that provides sequence behavior. However, to
use this mechanism, the programmer must make their code dependent on
the current Python implementation.
Also, certain semantics, especially memory management semantics, may
differ by the type of object being used. Unfortunately, these
semantics are not clearly described in the current include files.
An abstract interface providing more consistent semantics is needed.
Proposal
I propose the creation of a standard interface (with an associated
library of routines and/or macros) for generically obtaining the
services of Python objects. This proposal can be viewed as one
components of a Python C interface consisting of several components.
From the viewpoint of C access to Python services, we have (as
suggested by Guido in off-line discussions):
- "Very high level layer": two or three functions that let you exec or
eval arbitrary Python code given as a string in a module whose name is
given, passing C values in and getting C values out using
mkvalue/getargs style format strings. This does not require the user
to declare any variables of type "PyObject *". This should be enough
to write a simple application that gets Python code from the user,
execs it, and returns the output or errors. (Error handling must also
be part of this API.)
- "Abstract objects layer": which is the subject of this proposal.
It has many functions operating on objects, and lest you do many
things from C that you can also write in Python, without going
through the Python parser.
- "Concrete objects layer": This is the public type-dependent
interface provided by the standard built-in types, such as floats,
strings, and lists. This interface exists and is currently
documented by the collection of include files provided with the
Python distributions.
From the point of view of Python accessing services provided by C
modules:
- "Python module interface": this interface consist of the basic
routines used to define modules and their members. Most of the
current extensions-writing guide deals with this interface.
- "Built-in object interface": this is the interface that a new
built-in type must provide and the mechanisms and rules that a
developer of a new built-in type must use and follow.
This proposal is a "first-cut" that is intended to spur
discussion. See especially the lists of notes.
The Python C object interface will provide four protocols: object,
numeric, sequence, and mapping. Each protocol consists of a
collection of related operations. If an operation that is not
provided by a particular type is invoked, then a standard exception,
NotImplementedError is raised with an operation name as an argument.
In addition, for convenience this interface defines a set of
constructors for building objects of built-in types. This is needed
so new objects can be returned from C functions that otherwise treat
objects generically.
Memory Management
For all of the functions described in this proposal, if a function
retains a reference to a Python object passed as an argument, then the
function will increase the reference count of the object. It is
unnecessary for the caller to increase the reference count of an
argument in anticipation of the object's retention.
All Python objects returned from functions should be treated as new
objects. Functions that return objects assume that the caller will
retain a reference and the reference count of the object has already
been incremented to account for this fact. A caller that does not
retain a reference to an object that is returned from a function
must decrement the reference count of the object (using
DECREF(object)) to prevent memory leaks.
Note that the behavior mentioned here is different from the current
behavior for some objects (e.g. lists and tuples) when certain
type-specific routines are called directly (e.g. setlistitem). The
proposed abstraction layer will provide a consistent memory
management interface, correcting for inconsistent behavior for some
built-in types.
Protocols
*/
/* === Object Protocol ================================================== */
/* Implemented elsewhere: