PEP 3152 – Cofunctions
- Author:
- Gregory Ewing <greg.ewing at canterbury.ac.nz>
- Status:
- Rejected
- Type:
- Standards Track
- Created:
- 13-Feb-2009
- Python-Version:
- 3.3
- Post-History:
Abstract
A syntax is proposed for defining and calling a special type of generator called a ‘cofunction’. It is designed to provide a streamlined way of writing generator-based coroutines, and allow the early detection of certain kinds of error that are easily made when writing such code, which otherwise tend to cause hard-to-diagnose symptoms.
This proposal builds on the ‘yield from’ mechanism described in PEP 380, and describes some of the semantics of cofunctions in terms of it. However, it would be possible to define and implement cofunctions independently of PEP 380 if so desired.
Rejection
See https://mail.python.org/pipermail/python-dev/2015-April/139503.html
Specification
Cofunction definitions
A new keyword codef
is introduced which is used in place of
def
to define a cofunction. A cofunction is a special kind of
generator having the following characteristics:
- A cofunction is always a generator, even if it does not contain any
yield
oryield from
expressions. - A cofunction cannot be called the same way as an ordinary function. An exception is raised if an ordinary call to a cofunction is attempted.
Cocalls
Calls from one cofunction to another are made by marking the call with
a new keyword cocall
. The expression
cocall f(*args, **kwds)
is semantically equivalent to
yield from f.__cocall__(*args, **kwds)
except that the object returned by __cocall__ is expected to be an iterator, so the step of calling iter() on it is skipped.
The full syntax of a cocall expression is described by the following grammar lines:
atom: cocall | <existing alternatives for atom>
cocall: 'cocall' atom cotrailer* '(' [arglist] ')'
cotrailer: '[' subscriptlist ']' | '.' NAME
The cocall
keyword is syntactically valid only inside a
cofunction. A SyntaxError will result if it is used in any other
context.
Objects which implement __cocall__ are expected to return an object obeying the iterator protocol. Cofunctions respond to __cocall__ the same way as ordinary generator functions respond to __call__, i.e. by returning a generator-iterator.
Certain objects that wrap other callable objects, notably bound methods, will be given __cocall__ implementations that delegate to the underlying object.
New builtins, attributes and C API functions
To facilitate interfacing cofunctions with non-coroutine code, there will
be a built-in function costart
whose definition is equivalent to
def costart(obj, *args, **kwds):
return obj.__cocall__(*args, **kwds)
There will also be a corresponding C API function
PyObject *PyObject_CoCall(PyObject *obj, PyObject *args, PyObject *kwds)
It is left unspecified for now whether a cofunction is a distinct type
of object or, like a generator function, is simply a specially-marked
function instance. If the latter, a read-only boolean attribute
__iscofunction__
should be provided to allow testing whether a
given function object is a cofunction.
Motivation and Rationale
The yield from
syntax is reasonably self-explanatory when used for
the purpose of delegating part of the work of a generator to another
function. It can also be used to good effect in the implementation of
generator-based coroutines, but it reads somewhat awkwardly when used
for that purpose, and tends to obscure the true intent of the code.
Furthermore, using generators as coroutines is somewhat error-prone.
If one forgets to use yield from
when it should have been used, or
uses it when it shouldn’t have, the symptoms that result can be
obscure and confusing.
Finally, sometimes there is a need for a function to be a coroutine
even though it does not yield anything, and in these cases it is
necessary to resort to kludges such as if 0: yield
to force it to
be a generator.
The codef
and cocall
constructs address the first issue by
making the syntax directly reflect the intent, that is, that the
function forms part of a coroutine.
The second issue is addressed by making it impossible to mix coroutine and non-coroutine code in ways that don’t make sense. If the rules are violated, an exception is raised that points out exactly what and where the problem is.
Lastly, the need for dummy yields is eliminated by making the form of definition determine whether the function is a coroutine, rather than what it contains.
Prototype Implementation
An implementation in the form of patches to Python 3.1.2 can be found here:
http://www.cosc.canterbury.ac.nz/greg.ewing/python/generators/cofunctions.html
Copyright
This document has been placed in the public domain.
Source: https://github.com/python/peps/blob/main/pep-3152.txt
Last modified: 2022-01-21 11:03:51 GMT