From: Roman G. <rom...@gm...> - 2010-08-04 19:34:00
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- 1_1_x and branch_rel_1_0 are obsolete and should be removed. - PSI can be deleted as well - class_branch and python-2_4 I don't know Thanks for your cleaning efforts! Roman On Aug 4, 2010, at 6:00 PM, Daniel Wheeler wrote: > I reverted keys() back to its old behavior. I don't know why I changed > it in the first place. It's on branches/keys right now, so check it > out and make sure it does what you want and I'll merge back to > branches/version-1_1 and trunk. > > Can we tidy up branches by removing some of the dead wood in there? > Can I delete 1_1_x, PSI, branch_numpy, branch_rel_1_0, class_branch, > python-2_4? > > On Tue, Aug 3, 2010 at 5:21 AM, Toine Bogers <tb...@iv...> wrote: >> Dear PySparse maintainers, >> First of all: thanks for creating PySparse! It's been extremely useful in >> writing my Python code for my collaborative filtering experiments. Up till >> now I never really had any problems with it, but after I migrated to >> v1.1.1 I ran into a peculiar 'bug/feature' with the keys() method. >> I used to run v1.0 of PySparse on OS X 10.5 without any problems. I tried >> installing the later versions, but they would never compile and the .dmg of >> v1.0 on SourceForge worked fine for me. I recently migrated to Snow Leopard >> (clean install) and to my surprise I could compile and install the latest >> version of PySparse (v1.1.1) without any problems. >> At first glance everything seemed to work just fine until I ran one of my >> larger scripts. It returned a very peculiar error: the keys() method no >> longer works as it should. Instead of returning a list of tuples of (row, >> column)-indices it now returns a list containing two lists, one containing >> all row indices, the other containing all column indices >> The following example shows what I mean. I've created a small 3x3 sparse >> matrix A: >>>> print A >> ll_mat(general, [3,3]): >> 1.000000 2.000000 -------- >> 1.000000 1.000000 2.000000 >> 4.000000 5.000000 4.000000 >> Then when I print out the keys, it returns this: >>>> print A.keys() >> [[0, 0, 1, 1, 1, 2, 2, 2], [0, 1, 0, 1, 2, 0, 1, 2]] >> whereas it used to return: >> [[0, 0], [0, 1], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2]] >> And of course all of my code is expecting that method to work like that. The >> online documentation still says that keys() returns "[...]a list of tuples >> (i,j) of the nonzero matrix entries." Which is also what I expected it to >> do, but not what it does anymore. >> The strange thing is that the items() method still returns a list of >> tuple-value pairs: >>>> print A.items() >> [((0, 0), 1.0), ((0, 1), 2.0), ((1, 0), 1.0), ((1, 1), 1.0), ((1, 2), 2.0), >> ((2, 0), 4.0), ((2, 1), 5.0), ((2, 2), 4.0)] >> In a way this is good, since it means I can, with some relatively minor >> adjusments, use the items() method instead. But I would prefer not to have >> to use items() when keys() is enough. >> Do you have an explanation for the change in behavior I've observed? Is it >> perhaps some sort of compilation option that I didn't set properly (which >> makes the underlying Fortran/C-code return its results in a different format >> to the keys() method)? >> >> Kind regards, >> Toine Bogers >> ------------------------------------------------------------------------------ >> The Palm PDK Hot Apps Program offers developers who use the >> Plug-In Development Kit to bring their C/C++ apps to Palm for a share >> of $1 Million in cash or HP Products. Visit us here for more details: >> http://p.sf.net/sfu/dev2dev-palm >> _______________________________________________ >> Pysparse-users mailing list >> Pys...@li... >> https://lists.sourceforge.net/lists/listinfo/pysparse-users >> >> > > > > -- > Daniel Wheeler > > ------------------------------------------------------------------------------ > The Palm PDK Hot Apps Program offers developers who use the > Plug-In Development Kit to bring their C/C++ apps to Palm for a share > of $1 Million in cash or HP Products. Visit us here for more details: > http://p.sf.net/sfu/dev2dev-palm > _______________________________________________ > Pysparse-users mailing list > Pys...@li... > https://lists.sourceforge.net/lists/listinfo/pysparse-users |