Hi,
I have a test application that I run in WinXP and on several flavors of
Solaris. I am having serious trouble getting a port of scipy done for
sunos5.10 that doesn't bus error. I'm investigating a temporary replacement
using mlabwrap mlab.cdf(), which so far is installing ok on both platforms.
I am currently only testing the WinXP test code at this time and I am
getting an intermittent memory error.
I believe I'm using numpy 1.0.2.
I have an a sorted array, Xs, and a CDF array. The arrays are 8496 in
length, both are float64.
'lam' is a given mean (scalar). I've broken out the code to match the
explanation:
...
d = mlab.cdf('poiss',Xs,lam) # old code used
scipy.stats.poisson.cdf(Xs,lam)
delta = CDF-d # assume all difference values
fall within datatype range, for now
epsilon = abs(delta)
return max(epsilon)
When I dont get the memory error, the delta.size > 700 meg., although
CDF.size and d.size both equal 8496. I suspect something is off with the
return array from mlab.cdf() at this point, since similar code that used
scipy call worked fine. (When the code runs, it does seem to return the
same results as the original scipy code).
I've done a work-around for this by preallocating epsilon and then
iterating and assigning by index, which seems to circumvent the problem for
now.
Anyone have any thoughts on why this is occurring? Is there a
representation issue I need to understand?
Thanks!
Mark Winrock
mwinrock@bigfoot.com
mark.winrock@itt.com
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