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In the work I do, I often have parameters that I need to group into subsets for convenience: d1 = {'x':1,'y':2} d2 = {'a':3,'b':4} I do this by passing in multiple dictionaries. Most of the time I use the passed dictionary directly, i.e.: def f(d1,d2): for k in d1: blah( d1[k] ) In some functions I need to access the variables directly, and things become cumbersome; I really want those variables in the local name space. I want to be able to do something like: def f(d1,d2) locals().update(d1) blah(x) blah(y) but the updates to the dictionary that locals() returns aren't guaranteed to actually update the namespace. Here's the obvious manual way: def f(d1,d2): x,y,a,b = d1['x'],d1['y'],d2['a'],d2['b'] blah(x) return {'x':x,'y':y}, {'a':a,'b':b} This results in three repetitions of the parameter list per function. This can be automated with a decorator: def unpack_and_repack(f): def f_new(d1, d2): x,y,a,b = f(d1['x'],d1['y'],d2['a'],d3['b']) return {'x':x,'y':y}, {'a':a,'b':b} return f_new @unpack def f(x,y,a,b): blah(x) blah(y) return x,y,a,b This results in three repetitions for the decorator, plus two per function, so it's better if you have a lot of functions. Is there a better way? Maybe something using eval? Thanks!

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