Reputation: 59168
The documentation for itertools
provides a recipe for a pairwise()
function, which I've slightly modified below so that it returns (last_item, None)
as the final pair:
from itertools import tee, izip_longest
def pairwise_tee(iterable):
a, b = tee(iterable)
next(b, None)
return izip_longest(a, b)
However, it seemed to me that using tee()
might be overkill (given that it's only being used to provide one step of look-ahead), so I tried writing an alternative that avoids it:
def pairwise_zed(iterator):
a = next(iterator)
for b in iterator:
yield a, b
a = b
yield a, None
Note: it so happens that I know my input will be an iterator for my use case; I'm aware that the function above won't work with a regular iterable. The requirement to accept an iterator is also why I'm not using something like izip_longest(iterable, iterable[1:])
, by the way.
Testing both functions for speed gave the following results in Python 2.7.3:
>>> import random, string, timeit
>>> for length in range(0, 61, 10):
... text = "".join(random.choice(string.ascii_letters) for n in range(length))
... for variant in "tee", "zed":
... test_case = "list(pairwise_%s(iter('%s')))" % (variant, text)
... setup = "from __main__ import pairwise_%s" % variant
... result = timeit.repeat(test_case, setup=setup, number=100000)
... print "%2d %s %r" % (length, variant, result)
... print
...
0 tee [0.4337780475616455, 0.42563915252685547, 0.42760396003723145]
0 zed [0.21209311485290527, 0.21059393882751465, 0.21039700508117676]
10 tee [0.4933490753173828, 0.4958930015563965, 0.4938509464263916]
10 zed [0.32074403762817383, 0.32239794731140137, 0.32340312004089355]
20 tee [0.6139161586761475, 0.6109561920166016, 0.6153261661529541]
20 zed [0.49281787872314453, 0.49651598930358887, 0.4942781925201416]
30 tee [0.7470319271087646, 0.7446520328521729, 0.7463529109954834]
30 zed [0.7085139751434326, 0.7165200710296631, 0.7171430587768555]
40 tee [0.8083810806274414, 0.8031280040740967, 0.8049719333648682]
40 zed [0.8273730278015137, 0.8248250484466553, 0.8298079967498779]
50 tee [0.8745720386505127, 0.9205660820007324, 0.878741979598999]
50 zed [0.9760301113128662, 0.9776301383972168, 0.978381872177124]
60 tee [0.9913749694824219, 0.9922418594360352, 0.9938201904296875]
60 zed [1.1071209907531738, 1.1063809394836426, 1.1069209575653076]
... so, it turns out that pairwise_tee()
starts to outperform pairwise_zed()
when there are about forty items. That's fine, as far as I'm concerned - on average, my input is likely to be under that threshold.
My question is: which should I use? pairwise_zed()
looks like it'll be a little faster (and to my eyes is slightly easier to follow), but pairwise_tee()
could be considered the "canonical" implementation by virtue of being taken from the official docs (to which I could link in a comment), and will work for any iterable - which isn't a consideration at this point, but I suppose could be later.
I was also wondering about potential gotchas if the iterator is interfered with outside the function, e.g.
for a, b in pairwise(iterator):
# do something
q = next(iterator)
... but as far as I can tell, pairwise_zed()
and pairwise_tee()
behave identically in that situation (and of course it would be a damn fool thing to do in the first place).
Upvotes: 5
Views: 4149
Reputation: 157414
The itertools tee
implementation is idiomatic for those experienced with itertools, though I'd be tempted to use islice
instead of next
to advance the leading iterator.
A disadvantage of your version is that it's less easy to extend it to n-wise iteration as your state is stored in local variables; I'd be tempted to use a deque:
def pairwise_deque(iterator, n=2):
it = chain(iterator, repeat(None, n - 1))
d = collections.deque(islice(it, n - 1), maxlen=n)
for a in it:
d.append(a)
yield tuple(d)
A useful idiom is calling iter
on the iterator
parameter; this is an easy way to ensure your function works on any iterable.
Upvotes: 3
Reputation: 123732
This is a subjective question; both versions are fine.
I would use tee
, because it looks simpler to me: I know what tee
does, so the first is immediately obvious, whereas with the second I have to think a little about the order in which you overwrite a
at the end of each loop. The timings are small enough as to be probably irrelephant, but you're the judge of that.
Regarding your other question, from the tee
docs:
Once
tee()
has made a split, the original iterable should not be used anywhere else; otherwise, the iterable could get advanced without the tee objects being informed.
Upvotes: 1