For something like this I generally create a superclass to hold
configuration variables that will change overtime, doing that will save you
from insanity.
Class configVar:
#set initial values
Def __init__(self):
Self.A = 5
Self.B = 10
Self.C = 20
Class myMath(configVars):
def __init__(self):
pass
def SubAandB(self):
return self.A - self.B
def AddCandB(self):
return self.C + self.B
def MultiplyXbyA(self, x):
return self.A * x
m = myMath()
X = m.SubAandB()
Y = m.AddCandB()
Z = m.MultiplyXbyA(32)
Keeps your vars in a safer easier to handle, debug, and change kinda way
Good luck
AJ
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of David
Stanek
Sent: Monday, April 13, 2009 12:12 PM
To: Ravi
Cc: [email protected]
Subject: Re: Imports in python are static, any solution?
On Mon, Apr 13, 2009 at 11:59 AM, Ravi <[email protected]> wrote:
> foo.py :
>
> i = 10
>
> def fi():
> global i
> i = 99
>
> bar.py :
>
> import foo
> from foo import i
>
> print i, foo.i
> foo.fi()
> print i, foo.i
>
> This is problematic. Well I want i to change with foo.fi() .
Why not only import foo and using foo.i? In fi() when you set i = 99
you are creating a new object called i in foo's namespace.
--
David
blog: http://www.traceback.org
twitter: http://twitter.com/dstanek
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