Hi all-
I am writing a C++ application with embedded Python scripting. Some of the scripts use NumPy, so I have been working out the best way to distribute NumPy with my software. At the moment, I've got a private folder which I add to the Python path. In this folder, I include all the files which would usually get installed to the "site-packages" folder. To get these files, I've simply unzipped the distutils installer (for NumPy, I am using the "no SSE" version at the moment), and copied the contents of the resulting "PLATLIB" folder to my private folder. For all the other libraries I am using, this method seems to work fine. However, with NumPy, if I do things this way, when I call "import_array()", it jumps back out of the calling function, skipping the rest of that function, and continues from there. If I install NumPy in the usual way, this does not happen. It seems like the NumPy initialization is failing when I install into the private folder, but not if I use the normal installer. Many of the users of my software aren't particularly Python savvy, so having them install everything manually is not an option. I would like to avoid having my own installer call external installers, sine that's confusing for some users. Finally, if possible, I would like to avoid changing the user's "Python26" folder, since I have no way of knowing what else might be relying on its contents. Lots of searching on how to install third-party libraries has led me to the "PLATLIB" method, so I'm at a bit of a loss as to what else to try. Does anyone here know what might be going wrong? I am using Python 2.6, Boost 1.38, and NumPy 1.3.0 on a Windows XP system. The embedding program is written in C++, and compiled using Visual Studio 2005. Thanks, Michael
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