> Michael McNeil Forbes wrote: >> Here is one fairly ugly solution: >> >> module_g.py >> ----------- >> def g(x,math): >> return math.sqrt(x) >> >> >>>>> import math, cmath, module_g >>>>> module_g.g(2,math) >> >> 1.4142135623730951 >> >>>>> module_g.g(-2,cmath) >> >> 1.4142135623730951j >> >> What is the "proper" pythonic way to do this? > On Thu, 2 Mar 2006, Robert Kern wrote: > > Use the appropriate library which already implements the features you want. > > In [8]: class A(object): > ...: def __init__(self, x): > ...: self.x = x > ...: def sqrt(self): > ...: return 2*self.x > ...: > ...: > > In [9]: a = A(10) > > In [10]: import numpy > > In [11]: numpy.sqrt(a) > Out[11]: 20 > > In [12]: numpy.sqrt(10) > Out[12]: 3.1622776601683795 > > In [13]: numpy.sqrt(10j) > Out[13]: (2.2360679774997898+2.2360679774997898j) > > -- > Robert Kern
Thanks. This solution is essentially to make sure that all "numeric" objects have .sqrt etc. members, and then use a library which check against builtin types and custom types with these extensions. That works, as long as the appropriate library exists (or I write it myself) (and this works in my case: I did not realize that the numpy/scipy functions worked this way.) Are there any other more generic solutions (without having to write "custom" functions like numpy.sqrt)? Michael -- http://mail.python.org/mailman/listinfo/python-list
