PEP 212 is hijacked, and renamed "Loop Counter Iteration". It is

assigned to Peter Schneider-Kamp.  Based on recent discussions with
the BDFL and the Python 2.0 release manager, this PEP is deferred
until Python 2.1.

Some minor editorial and formating modifications were performed on the
text supplied by Peter.  Editor also added footnotes.
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Barry Warsaw 2000-08-23 05:06:22 +00:00
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PEP: 212
Title: Additional Builtin Generators
Title: Loop Counter Iteration
Version: $Revision$
Owner: bwarsaw@beopen.com (Barry A. Warsaw)
Python-Version: 2.0
Status: Incomplete
Author: nowonder@nowonder.de (Peter Schneider-Kamp)
Status: Draft
Type: Standards Track
Python-Version: 2.1
Created: 22-Aug-2000
Introduction
This PEP describes some proposed additional generator-creating
builtin functions for Python 2.0. This PEP tracks the status and
ownership of this feature, slated for introduction in Python 2.0.
It contains a description of the feature and outlines changes
necessary to support the feature. This PEP summarizes discussions
held in mailing list forums, and provides URLs for further
information, where appropriate. The CVS revision history of this
file contains the definitive historical record.
This PEP describes the often proposed feature of exposing the loop
counter in for-loops. This PEP tracks the status and ownership of
this feature. It contains a description of the feature and
outlines changes necessary to support the feature. This PEP
summarizes discussions held in mailing list forums, and provides
URLs for further information, where appropriate. The CVS revision
history of this file contains the definitive historical record.
New functions
Motivation
irange()
tuples()
lists()
dict()
Standard for-loops in Python iterate over the elements of a
sequence[1]. Often it is desirable to loop over the indices or
both the elements and the indices instead.
The common idioms used to accomplish this are unintuitive. This
PEP proposes two different ways of exposing the indices.
Reference Implementation
Loop counter iteration
The current idiom for looping over the indices makes use of the
built-in 'range' function:
for i in range(len(sequence)):
# work with index i
Looping over both elements and indices can be achieved either by the
old idiom or by using the new 'zip' built-in function[2]:
for i in range(len(sequence)):
e = sequence[i]
# work with index i and element e
or
for i, e in zip(range(len(sequence)), sequence):
# work with index i and element e
The Proposed Solutions
There are two solutions that have been discussed. One adds a
non-reserved keyword, the other adds two built-in functions.
A third solution would have been the addition of 'keys', 'items'
and 'values' methods to sequences, which enable looping over
indices only, both indices and elements, and elements only
respectively.
Non-reserved keyword 'indexing'
This solution would extend the syntax of the for-loop by adding
an optional '<variable> indexing' clause which can also be used
instead of the '<variable> in' clause..
Looping over the indices of a sequence would thus become:
for i indexing sequence:
# work with index i
Looping over both indices and elements would similarly be:
for i indexing e in sequence:
# work with index i and element e
Built-in functions 'indices' and 'irange'
This solution adds two built-in functions 'indices' and 'irange'.
The semantics of these can be described as follows:
def indices(sequence):
return range(len(sequence))
def irange(sequence):
return zip(range(len(sequence)), sequence)
These functions could be implemented either eagerly or lazily and
should be easy to extend in order to accept more than one sequence
argument.
The use of these functions would simplify the idioms for looping
over the indices and over both elements and indices:
for i in indices(sequence):
# work with index i
for i, e in irange(sequence):
# work with index i and element e
Copyright
This document has been placed in the public domain.
References
[1] http://www.python.org/doc/current/ref/for.html
[2] Lockstep Iteration, pep-0201.txt
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