schickb wrote:
On Jun 24, 3:45 pm, Matimus <[EMAIL PROTECTED]> wrote:
I think it would be useful if iterators on sequences had the __index__
method so that they could be used to slice sequences. I was writing a
class and wanted to return a list iterator to callers.  I then wanted
to let callers slice from an iterator's position, but that isn't
supported without creating a custom iterator class.

Creating custom classes is what the class statement is for.  See below.

Could you post an example of what you are talking about? I'm not
getting it.

Interactive mock-up:

a = ['x','y','z']
it = iter(a)
a[it:]
['x', 'y', 'z']
it.next()
'x'
a[it:]
['y', 'z']
a[:it]
['x']
it.next()
'y'
a[it:]
['z']

This lets you use sequence iterators more general position indicators.
Currently if you want to track a position and slice from a tracked
position you must do it manually with an integer index. It's not
difficult, but given that sequence iterators already do that already
it seems redundant (and of course more error prone).

Python's iterator protocol is intentionally simple and general.
Wanting to slice while iterating is a *very* specialized usage.
In any case:
A. If the iterator uses in incrementing index to iterate, you want access.
B. Using an iterator as an integer will strike most people as conceptually bizarre; it will never be accepted. C. Doing so is unnecessary since the internal index can just as easily be exposed as an integer attribute called 'index' or, more generally, 'count'.
a[it.count:] looks *much* better.
D. You can easily add .index or .count to any iterator you write. The iterator protocol is a minimum rather than maximum specification. E. You can easily wrap any iterable/iterator in an iterator class that provides .count for *any* iteration process. Slicing is not the only possible use of such an attribute.

class indexerator():
  def __inti__(self, iterable):
    self.it = iter(iterable)
    self.count = 0
  def __iter__(self): return self
  def __next__(self): # 3.0
    tem = self.it.next()
    self.count += 1
    return tem

.count is always the number of items returned. It is also the index of the next item to be returned if (but only if() the base iterable exists and is an indexable sequence. F. Even this should be unnecessary for most usages. Built-in function enumerate(iterable) generates count,item pairs in much the same manner:

In any case, the first step is writing a PEP.http://www.python.org/dev/peps/

Discussion usually comes first.

Ok thanks, but I do want some idea of interest level before spending a
bunch of time on this.

Even the developers sometimes take this precaution. Many ideas never make it to the PEP stage. I see no need for a change in Python here.

Terry Jan Reedy

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