Hello, I recently switched from a Debian Linux box to a Mac G5 PowerPC, running Mac OS X 10.4 Tiger (8.7.0). I use the Python Numeric package extensively, and have come to depend upon it. In my view, this piece of software is truly first rate, and it has greatly improved my productivity in the area of scientific analysis.
Unfortunately, I am experiencing a problem that I cannot sort out. I am running Python 2.4.3 on a Debian box (V3.1), using gcc version 4.0.1, and the Apple vecLib.framework which has an optimized BLAS and LAPACK. When building Numeric 24.0, 24.1, or 24.2 everything seems to go AOK. But when I run code which makes use of the Numeric package (maksed arrays, dot product, LinearAlgebra, etc.) my code crashes hard and unpredictably. When it crashes I simply get a "Segmentation Fault". I'm sorry that I can't be more specific about what seems to happen just before the crash...I've tried to trace it but to no avail. 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. Has anyone seen this problem, or know where I might look to solve it? Perhaps I have overlooked a crucial step in the build/install of Numeric 24.x on the Mac. I searched round the Net with google, and have sifted through the numpy/scipy/numeric Web pages, various mailing lists, user groups, etc., and can't seem to find any relevant info. Alternatively, can someone explain how to get Numeric 23.8 to compile on OS X 10.4 Tiger, with the dotblas module? Thanks very much for your help, Daran ------------------------------------------------------------------------- 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
