This post originated from an RSS feed registered with Python Buzz
by Thomas Guest.
Original Post: Run-length encoding in Python
Feed Title: Word Aligned: Category Python
Feed URL: http://feeds.feedburner.com/WordAlignedCategoryPython
Feed Description: Dynamic languages in general. Python in particular. The adventures of a space sensitive programmer.
Recently I discussed run-length encoding and DEFLATE compression. I never actually showed a Python implementation of a run-length encoder, so here’s one now.
import itertools as its
def ilen(it):
'''Return the length of an iterable.
>>> ilen(range(7))
7
'''
return sum(1 for _ in it)
def runlength_enc(xs):
'''Return a run-length encoded version of the stream, xs.
The resulting stream consists of (count, x) pairs.
>>> ys = runlength_enc('AAABBCCC')
>>> next(ys)
(3, 'A')
>>> list(ys)
[(2, 'B'), (3, 'C')]
'''
return ((ilen(gp), x) for x, gp in its.groupby(xs))
The decoder is equally simple. Itertools.repeat expands a (count, value) pair into an iterable which will generate count elements. Itertools.chain flattens these iterables into a single stream.
def runlength_dec(xs):
'''Expand a run-length encoded stream.
Each element of xs is a pair, (count, x).
>>> ys = runlength_dec(((3, 'A'), (2, 'B')))
>>> next(ys)
'A'
>>> ''.join(ys)
'AABB'
'''
return its.chain.from_iterable(its.repeat(x, n) for n, x in xs)
If you haven’t seen itertools.chain.from_iterable() yet, it was introduced at Python 3.0/2.6. The important feature here is that it lazily works its way through a single iterable argument. If instead we’d written:
def runlength_dec(xs):
....
return its.chain(*(its.repeat(x, n) for n, x in xs))
then our run-length decoder would need to consume all of xs before yielding results (which is why we must interrupt the interpreter’s execution below).
>>> xs = its.cycle((3, 'A'), (2, 'B'))
>>> runlength_dec(xs)
C-c C-cTraceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<string>", line 25, in runlength_dec
File "<string>", line 25, in <genexpr>
KeyboardInterrupt
Named tuples for clarity
Streams of pairs (as shown above) are perfectly Pythonic. If we run-length encode a stream of numbers, clients will just have to read the manual and remember that item[0] is a repeat count and item[1] is a value.
If this seems fragile, a new-ish member of the collections module can give the pair more structure.
Here’s how we’d change runlength_enc() to use the new type.
def runlength_enc(xs):
'''Return a run-length encoded version of the stream, xs.
>>> ys = runlength_enc('AAABBCCC')
>>> next(ys)
Run(count=3, value='A')
>>> list(ys)
[Run(count=2, value='B'), Run(count=3, value='C')]
'''
return (Run(ilen(gp), x) for x, gp in its.groupby(xs))
Previous Topic
