For backward-compatibility with Numeric and Numarray I'm leaning to the following plan:
* Do not create compatibility array objects. I initially thought we could sub-class in order to create objects that had the expected attributes and methods of Numeric arrays or Numarray arrays. After some experimentation, I'm ditching this plan. I think this would create too many array-like objects floating around and make unification even harder as these objects interact in difficult-to-predict ways. Instead, I'm planning to: 1) Create compatibility functions in oldnumeric and numarray sub-packages that create NumPy arrays but do it with the same function syntax as the old packages. 2) Create 4 scripts for assisting in conversion (2 for Numeric and 2 for Numarray). a) An initial script that just alters imports (to the compatibility layer) and fixes method and attribute access. b) A secondary script that alters the imports from the compatibility layer and fixes as much as possible the things that need to change in order to make the switch away from the compatibility layer to work correctly. While it is not foolproof, I think this will cover most of the issues and make conversion relatively easy. This will also let us develop NumPy without undue concern for compatibility with older packages. This must all be in place before 1.0 release candidate 1 comes out. Comments and criticisms welcome. -Travis ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion