>> Are there any other more generic solutions (without having to write >> "custom" functions like numpy.sqrt)? > > No. *Someone* always has to write those "custom" functions. In the case of > len() > and abs(), that someone was Guido. For numpy.sqrt(), that someone was Travis > Oliphant. For anything else you want, that someone is probably you.
Thanks Guido! Thanks Travis:-) What I was thinking was: is there some way to pass a parameter to the module on import so that the module can then use the correct environment. If I could pass a dictionary to the module with all of the overloaded functions, then they could become part of the module's environment and used appropriately. I could not find a way of passing such a dictionary. Michael. -- http://mail.python.org/mailman/listinfo/python-list
