[Python-ideas] Revised revised PEP on yield-from

[Greg Ewing]

Third draft of the PEP, incorporating throw() and
close() handling, and other feedback that I have
received.

PEP: XXX
Title: Syntax for Delegating to a Subgenerator
Version: $Revision$
Last-Modified: $Date$
Author: Gregory Ewing <greg.ewing at canterbury.ac.nz>
Status: Draft
Type: Standards Track
Content-Type: text/x-rst
Created: 13-Feb-2009
Python-Version: 2.7
Post-History:


Abstract
========

A syntax is proposed to allow a generator to easily delegate part of
its operations to another generator, the subgenerator interacting
directly with the main generator's caller for as long as it runs.
Additionally, the subgenerator is allowed to return with a value,
and the value is made available to the delegating generator.

The new syntax also opens up some opportunities for optimisation when
one generator re-yields values produced by another.


Proposal
========

The following new expression syntax will be allowed in the body of a
generator:

::

     yield from <expr>

where <expr> is an expression evaluating to an iterable, from which an
iterator is extracted.  The effect is to run the iterator to exhaustion,
during which time it behaves as though it were communicating directly
with the caller of the generator containing the ``yield from`` expression
(the "delegating generator").

In detail:

     * Any values that the iterator yields are passed directly to the
       caller.

     * Any values sent to the delegating generator using ``send()``
       are sent directly to the iterator.  (If the iterator does not
       have a ``send()`` method, values sent in are ignored.)

     * Calls to the ``throw()`` method of the delegating generator are
       forwarded to the iterator.  (If the iterator does not have a
       ``throw()`` method, the thrown-in exception is raised in the
       delegating generator.)

     * If the delegating generator's ``close()`` method is called, the
       iterator is finalised before finalising the delegating generator.

The value of the ``yield from`` expression is the first argument to the
``StopIteration`` exception raised by the iterator when it terminates.

Additionally, generators will be allowed to execute a ``return``
statement with a value, and that value will be passed as an argument
to the ``StopIteration`` exception.


Formal Semantics
----------------

The statement

::

     result = yield from expr

is semantically equivalent to

::

     _i = iter(expr)
     try:
         _u = _i.next()
         _v = yield
         while 1:
             try:
                 _v = yield _u
             except Exception, _e:
                 if hasattr(_i, 'throw'):
                     _i.throw(_e)
                 else:
                     raise
             else:
                 if hasattr(_i, 'send'):
                     _u = _i.send(_v)
                 else:
                     _u = _i.next()
     except StopIteration, _e:
         _a = _e.args
         if len(_a) > 0:
             result = _a[0]
         else:
             result = None
     finally:
         if hasattr(_i, 'close'):
             _i.close()


Rationale
=========

A Python generator is a form of coroutine, but has the limitation that
it can only yield to its immediate caller.  This means that a piece of
code containing a ``yield`` cannot be factored out and put into a
separate function in the same way as other code.  Performing such a
factoring causes the called function to itself become a generator, and
it is necessary to explicitly iterate over this second generator and
re-yield any values that it produces.

If yielding of values is the only concern, this is not very arduous
and can be performed with a loop such as

::

     for v in g:
         yield v

However, if the subgenerator is to interact properly with the caller
in the case of calls to ``send()``, ``throw()`` and ``close()``, things
become considerably more complicated.  As the formal expansion presented
above illustrates, the necessary code is very longwinded, and it is tricky
to handle all the corner cases correctly.  In this situation, the advantages
of a specialised syntax should be clear.


Generators as Threads
---------------------

A motivating use case for generators being able to return values
concerns the use of generators to implement lightweight threads.  When
using generators in that way, it is reasonable to want to spread the
computation performed by the lightweight thread over many functions.
One would like to be able to call a subgenerator as though it were
an ordinary functions, passing it parameters and receiving a returned
value.

Using the proposed syntax, a statement such as

::

     y = f(x)

where f is an ordinary function, can be transformed into an equivalent
delegation call

::

     y = yield from g(x)

where g is a generator, and the behaviour of the resulting code can
be reasoned about by thinking of it as a function that can be suspended.

It is also reasonable to expect that if an exception is thrown into
the lightweight thread from outside using ``throw()``, it should
first be raised in the innermost generator where the thread is
suspended, and propagate outwards from there; and that if the
lightweight thread is terminated from outside by calling ``close()``,
the chain of active generators should be finalised from the
innermost outwards.


Syntax
------

The particular syntax proposed has been chosen as suggestive of its
meaning, while not introducing any new keywords and clearly standing
out as being different from a plain ``yield``.


Optimisations
-------------

Using a specialised syntax opens up possibilities for optimisation
when there is a long chain of generators.  Such chains can arise, for
instance, when recursively traversing a tree structure.  The overhead
of passing ``next()`` calls and yielded values down and up the chain
can cause what ought to be an O(n) operation to become O(n\*\*2).

A possible strategy is to add a slot to generator objects to hold a
generator being delegated to.  When a ``next()`` or ``send()`` call is
made on the generator, this slot is checked first, and if it is
nonempty, the generator that it references is resumed instead.  If it
raises StopIteration, the slot is cleared and the main generator is
resumed.

This would reduce the delegation overhead to a chain of C function
calls involving no Python code execution.  A possible enhancement would
be to traverse the whole chain of generators in a loop and directly
resume the one at the end, although the handling of StopIteration is
more complicated then.


Criticisms
==========

Under this proposal, the value of a ``yield from`` expression would
be derived in a very different way from that of an ordinary ``yield``
expression. This suggests that some other syntax not containing the
word ``yield`` might be more appropriate, but no alternative has so
far been proposed, other than ``call``, which has already been
rejected by the BDFL.

It has been suggested that some mechanism other than ``return`` in
the subgenerator should be used to establish the value returned by
the ``yield from`` expression. However, this would interfere with
the goal of being able to think of the subgenerator as a suspendable
function, since it would not be able to return values in the same way
as other functions.

The use of an argument to StopIteration to pass the return value
has been criticised as an "abuse of exceptions", without any
concrete justification of this claim. In any case, this is only
one suggested implementation; another mechanism could just as well
be used to achieve the desired result, namely that the return
value of the subgenerator appears as the value of the ``yield from``
expression.


Alternative Proposals
=====================

Proposals along similar lines have been made before, some using the
syntax ``yield *`` instead of ``yield from``.  While ``yield *`` is
more concise, it could be argued that it looks too similar to an
ordinary ``yield`` and the difference might be overlooked when reading
code.

To the author's knowledge, previous proposals have focused only
on yielding values, and thereby suffered from the criticism that
the two-line for-loop they replace is not sufficiently tiresome
to write to justify a new syntax.  By dealing with sent values
as well as yielded ones, this proposal provides considerably more
benefit.


Copyright
=========

This document has been placed in the public domain.



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-- 
Greg