On Thu, 16 Feb 2006 15:22:15 +0000, Robin Haswell wrote:
> Hey guys
>
> I was wondering if you could give me a hand with something. If I have two
> tuples that define a range, eg: (10, 20), (15, 30), I need to determine
> whether the ranges overlap each other. The algo needs to catch:
>
> (10, 20) (15, 25)
> (15, 25) (10, 20)
> (10, 25) (15, 20)
> and
> (15, 20) (10, 25)
What do you mean "catch"? Do you expect the algorithm to recognise these
combinations as special and return something different?
I'm going to assume that there are no magic values that need to be caught,
because I don't know what that means, and just proceed as if the task is
to compare two tuples of the form (x1, x2) where x1 <= x2.
# warning: untested!
def isoverlap((x1,x2), (y1,y2)):
"""Given two numeric ranges, returns a flag True or False
indicating whether they overlap.
Assumes that the ranges are ordered (smallest,largest). If
that assumption is wrong, incorrect results may occur."""
# Fully overlapping cases:
# x1 <= y1 <= y2 <= x2
# y1 <= x1 <= x2 <= y2
# Partially overlapping cases:
# x1 <= y1 <= x2 <= y2
# y1 <= x1 <= y2 <= x2
# Non-overlapping cases:
# x1 <= x2 < y1 <= y2
# y1 <= y2 < x1 <= x2
return not (x2 < y1 or y2 < x1)
> I can think of lots of ways to do this but it's in a tight loop so I
> need it to be as efficient as possible.
"Efficient as possible" in what way? Least memory used? Smallest
number of bytes of source code? Fastest performance?
Assuming you need fastest performance, the general method to do that is to
write it in hand-tuned assembly language, taking care to use all the
tricks to optimize it for the particular CPU you are running on. If you
can find a way to push the processing into any high-end graphics
processors you might have, that typically will speed it up even more. It
is still, sometimes, possible for the best assembly programmers to just
barely outperform optimizing C compilers, or so I'm told.
If you are willing to set your sights just a little lower, and rather than
aiming for the absolute fastest code possible, settle for code which is
fast enough, the usual technique is to stick to Python. Write different
functions implementing the various methods you can think of, and then time
them with the timeit module. Pick the fastest. Is it fast enough that
performance is satisfactory? If so, then you are done.
Here is a technique that may speed your code up a little: it is quicker to
find local variables than global. So, instead of this:
def main():
... code here ...
while condition:
flag = isoverlap(t1, t2)
... code ...
you can gain a little speed by making a local reference to the function:
def main():
... code here ...
iso = isoverlap # make a local reference for speed
while condition:
flag = iso(t1, t2)
... code ...
If your code is still too slow, you might speed it up with Psycho, or you
may need to write a C extension. Either way, you won't know if the code is
fast enough until you actually run it.
--
Steven.
--
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