On Sep 9, 8:14 pm, Steven D'Aprano <ste...@remove.this.cybersource.com.au> wrote: > On Wed, 09 Sep 2009 14:58:22 -0700, Carl Banks wrote: > > Use case seems perfectly obvious to me. You have a set of functions > > that use different strategies to accomplish a task, and there is a lot > > of overlap in the arguments used but no consistency. You want to be > > able to swap in different functions so as to try different strategies > > (either while editing, or programmatically). Instead of dealing with > > arguments that change everytime you want to swap in a different > > function, you can use this filter and work with a single argument set. > > > The example that pops to my mind is numerical optimization. Many > > numerical optimizers have similar overall strategies but differ in > > underlying details, so they will tend to take different options. An > > argument filter like the OP wrote would be quite handy here. > > Even more handy would be an abstraction layer that gives you a consistent > API to work with, instead of the fragile and brittle anti-pattern of > "suppress errors from passing invalid arguments".
It'd be better, but I don't know if it'd be handier. Carl Banks -- http://mail.python.org/mailman/listinfo/python-list