On Mon, Nov 16, 2009 at 10:43 AM, Christopher Barker <chris.bar...@noaa.gov>wrote:
> Charles R Harris wrote: > > I would like some advise on the best way to add the new functions. I've > > added a new package polynomial, and that package contains four new > > modules: chebyshev, polynomial, polytemplate, polyutils. > > This seems to belong more in scipy than numpy, but I'll leave that to > others to decide. > > > whether or not to include all of the functions in these packages in the > > __init__.py, or to just import the modules. > > Are any of them compiled code? I've been very frustrated when I can't > use some pure python stuff in scipy because broken compiled fortran > extensions are getting imported that I don't even need. > > It's all python. > If that isn't an issue, and the polynomial package would end up with > only a handful of names, then I say import them all. Another way to ask > this: would there by ANY names in the polynomial package if you don't > import the modules? > > That's what I ended up doing. You still need to do "import numpy.polynomial" to get to them, they aren't automatically imported into the numpy namespace. > If there is compiled code, the import could fail gracefully, and then > you could still pull it all in. > > OTOH, what this does is bring stuff into memory unnecessarily, and also > brings it into stand-alone bundles (py2exe, py2app, etc). So if these > modules are not small, then it's probably better to have to import them > explicitly. > > Also -- do you foresee many more polynomial types in the future? I know > I'd like to see Hermite. > > Been thinking about it. Division/multiplication can get hard, but a more restricted set of operations -- division/multiplication by x -- would cover most of the common uses. Chuck
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