Hi Chris, Thanks very much for your reply. My apology for the confusion. To be clear, I am a veteran user of Numeric not numpy. I tried installing four versions of Numeric: 23.8, 24.0, 24.1, and 24.2. My Python distro is built from source, using the GCC 4.0.1 suite of compilers. I am running all of this on a Mac G5 PowerPC with Mac OS X 10.4 Tiger (8.7.0). All branches of Numeric 24.x cause a "Segmentation Fault". The scripts I was running this against are a bit complex, so it is not so easy for me to sort out when/where the failure occurs. I'll keep doing some testing and see if I can get a better idea for what seems to be the issue.
I'd very like much like to move to numpy, but I have code that needs to be working -now-, so at this point I am more interested in Numeric; I am an adept user of Numeric, and I know it works well on Debian Linux boxes. I will try your suggestion of installing and running the pre-built packages at <http://www.pythonmac.org/packages/py24-fat/>. Thanks again for your patience and for your help. Daran -- > Daran L. Rife wrote: >> Many thanks for the reply. This was my first attempt >> to build and use numpy; > > "numpy" used to be a generic name for the Numerical extensions to > Python. Now there are three versions: > > "Numeric": The original, now at version 24.2 This is probably the last > version that will be produced. > > "numarray": This was designed to be the "next generation" array package. > It has some nice additional features that Numeric does not have, but is > missing some as well. It is at version 1.5.1. it may see some bug fix > releases in the future, but probably won't see any more major development. > > "numpy": this is the "grand unification" array package. It is based on > the Numeric code base, and is designed to have the best features of > Numeric and numarray, plus some extra good stuff. It is now at version > 1.0beta, with an expected release date for 1.0final sometime this fall. > It is under active development, the API is pretty stable now, and it > appears to have the consensus of the numerical python community as the > "way of the future" > > I wrote all that out so that you can be clear which package you are > having trouble with -- you've used both the term "Numeric" and "numpy" > in your posts, and there is some confusion. > > If you are working on a project that does not need to be released for a > few months (i.e. after numpy has reached 1.0 final), I'd use numpy, > rather than Numeric or numarray. > > Also: on OS-X, there are far to many ways to build Python. When you > report a problem, you need to define exactly which python build you are > using, and this goes beyond python version -- fink? darwinports? > built-it-from-source? Framework? Universal, etc... > > The MacPython community is doing it's best to standardize on the > Universal Build of 2.4.3 that you can find here: > > http://www.pythonmac.org/packages/py24-fat/ > > There you will also find pre-built packages for Numeric24.2, > numarray1.5.1, and numpy0.9.8 > > Have you tried any of those? They should be built against Apple's > vectLib. There isn't a package for numpy 1.0beta there yet. I may add > one soon. > >> Interestingly, I can get Numeric version 23.8 to build and >> run just fine, but it appears that the dotblas (BLAS >> optimized matrixmultiply/dot/innerproduct) does not properly >> get built in. Thus, all my matrix operations are -very- slow. > > I'm not sure of the dates, but that is probably a version that didn't > have the check for Apple's vecLib in the setup.py, so it built with the > built-in lapack-lite instead. You can compare the setup.py files from > that and newer versions to see how to make it build against vectLib, but > I suspect if you do that, you'll see the same problems. > > Also, please send a small test script that crashes for you, so others > can test it. > > -Chris ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
