Add a new PEP for reverse iteration methods

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Raymond Hettinger 2003-09-24 10:30:08 +00:00
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@ -117,6 +117,7 @@ Index by Category
S 318 Function/Method Decorator Syntax Smith S 318 Function/Method Decorator Syntax Smith
S 319 Python Synchronize/Asynchronize Block Pelletier S 319 Python Synchronize/Asynchronize Block Pelletier
S 321 Date/Time Parsing and Formatting Kuchling S 321 Date/Time Parsing and Formatting Kuchling
S 322 Reverse Iteration Methods Hettinger
S 754 IEEE 754 Floating Point Special Values Warnes S 754 IEEE 754 Floating Point Special Values Warnes
Finished PEPs (done, implemented in CVS) Finished PEPs (done, implemented in CVS)
@ -335,6 +336,7 @@ Numerical Index
S 319 Python Synchronize/Asynchronize Block Pelletier S 319 Python Synchronize/Asynchronize Block Pelletier
I 320 Python 2.4 Release Schedule Warsaw I 320 Python 2.4 Release Schedule Warsaw
S 321 Date/Time Parsing and Formatting Kuchling S 321 Date/Time Parsing and Formatting Kuchling
S 322 Reverse Iteration Methods Hettinger
SR 666 Reject Foolish Indentation Creighton SR 666 Reject Foolish Indentation Creighton
S 754 IEEE 754 Floating Point Special Values Warnes S 754 IEEE 754 Floating Point Special Values Warnes

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pep-0322.txt Normal file
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PEP: 322
Title: Reverse Iteration Methods
Version: $Revision$
Last-Modified: $Date$
Author: Raymond Hettinger <python@rcn.com>
Status: Draft
Type: Standards Track
Content-Type: text/x-rst
Created: 24-Sep-2003
Python-Version: 2.4
Post-History: 24-Sep-2003
Abstract
========
This proposal is to extend the API of several sequence types
to include methods for iterating over the sequence in reverse.
Motivation
==========
For indexable objects, current approaches for reverse iteration are
error prone, unnatural, and not especially readable::
for i in xrange(n-1, -1, -1):
print seqn[i]
One other current approach involves reversing a list before iterating
over it. That technique wastes computer cycles, memory, and lines of
code. Also, it only works with lists (strings, for example, do not
define a reverse method)::
rseqn = list(seqn)
rseqn.reverse()
for value in rseqn:
print value
Extending slicing minimizes the code overhead but does nothing for
memory efficiency, beauty, or clarity.
Reverse iteration is much less common than forward iteration, but it
does arise regularly in practice. See `Real World Use Cases`_ below.
Proposal
========
Add a method called *iter_backwards()* to sequence objects that can
benefit from it. The above examples then simplify to::
for i in xrange(n).iter_backwards():
print seqn[i]
::
for elem in seqn.iter_backwards():
print elem
The new protocol would be applied to lists, strings, xrange objects,
and possibly other sequence objects as well (depending on use cases
and implementation issues). It would not apply to unordered
collections like dicts and sets.
No language syntax changes are needed.
Alternative Method Names
========================
* *iterbackwards* -- like iteritems() but somewhat long
* *backwards* -- more pithy, less explicit
* *ireverse* -- reminiscent of imap(), izip(), and ifilter()
Open Issues
===========
* Should *tuple* objects be included? In the past, they have been
denied some list like behaviors such as count() and index().
* Should *file* objects be included? Implementing reverse iteration
may not be easy though it would be useful on occasion.
* Should *enumerate* objects be included? They can provide reverse
iteration only when the underlying sequences support *__len__*
and reverse iteration.
Real World Use Cases
====================
Here are some instances of reverse iteration taken from the standard
library and comments on why reverse iteration was necessary:
* atexit.exit_handlers() uses::
while _exithandlers:
func, targs, kargs = _exithandlers.pop()
. . .
The application dictates the need to run exit handlers in the
reverse order they were built. The ``while alist: alist.pop()``
form is readable and clean; however, it would be slightly faster
and clearer with::
for func, target, kargs in _exithandlers.iter_backwards():
. . .
del _exithandlers
* difflib.get_close_matches() uses::
result.sort() # Retain only the best n.
result = result[-n:] # Move best-scorer to head of list.
result.reverse() # Strip scores.
return [x for score, x in result]
The need for reverse iteration arises from a requirement to return
a portion of a sort in an order opposite of the sort criterion. The
list comprehension is incidental (the third step of a Schwartzian
transform). This particular use case can met with extended slicing,
but the code is somewhat unattractive, hard to visually verify,
and difficult for beginners to construct::
result.sort()
return [x for score, x in result[:-n-1:-1]]
The proposed form is much easier to construct and verify::
result.sort()
return [x for score, x in result[-n:].iter_backwards()]
* heapq.heapify() uses ``for i in xrange(n//2 - 1, -1, -1)`` because
higher-level orderings are more easily formed from pairs of
lower-level orderings. A forward version of this algorithm is
possible; however, that would complicate the rest of the heap code
which iterates over the underlying list in the opposite direction.
* mhlib.test() uses::
testfolders.reverse();
for t in testfolders:
do('mh.deletefolder(%s)' % `t`)
The need for reverse iteration arises because the tail of the
underlying list is altered during iteration.
* platform._dist_try_harder() uses
``for n in range(len(verfiles)-1,-1,-1)`` because the loop deletes
selected elements from *verfiles* but needs to leave the rest of
the list intact for further iteration. This use case could be
addressed with *itertools.ifilter()* but would require the
selection predicate to be in a *lambda* expression. The net
result is less clear and readable than the original. A better
reformulation is to replace the first line with the proposed
method.
* random.shuffle() uses ``for i in xrange(len(x)-1, 0, -1)`` because
the algorithm is most easily understood as randomly selecting
elements from an ever diminishing pool. In fact, the algorithm can
be run in a forward direction but is less intuitive and rarely
presented that way in literature.
* rfc822.Message.__delitem__() uses::
list.reverse()
for i in list:
del self.headers[i]
The need for reverse iteration arises because the tail of the
underlying list is altered during iteration.
Rejected Alternative Ideas
==========================
* Add a builtin function, *reverse()* which calls a magic method,
__riter__. I see this as more overhead for no additional benefit.
* Add a builtin function, *reverse()* which does the above, and
if *__riter__* is not found, constructs its own using
*__getitem__*, and if *__getitem__* is not found, builds a list
from *__iter__* and returns a reverse iterator over the new list.
The advantage is that one function takes care of almost everything
that is potentially reversible. A disadvantage is that it can
invisibility slip in to a low performance mode (in terms of time
and memory) which would be more visible with an explicit
``list(obj).reverse()``. Another problem is that *__getitem__*
is also used in mappings as well as sequences and that could lead
to bizarre results.
Copyright
=========
This document has been placed in the public domain.
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