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Python Cookbook
book

Python Cookbook

by Alex Martelli, David Ascher
July 2002
Intermediate to advanced
608 pages
15h 46m
English
O'Reilly Media, Inc.
Content preview from Python Cookbook

Defining Constants

Credit: Alex Martelli

Problem

You need to define module-level variables that client code cannot accidentally rebind (i.e., named constants).

Solution

In Python 2.1 and later, you can install any instance as if it was a module. Just put the following in const.py:

class _const:

    class ConstError(TypeError): pass

    def _ _setattr_ _(self, name, value):
        if self._ _dict_ _.has_key(name):
            raise self.ConstError, "Can't rebind const(%s)"%name
        self._ _dict_ _[name] = value

    def _ _delattr_ _(self, name):
        if self._ _dict_ _.has_key(name):
            raise self.ConstError, "Can't unbind const(%s)"%name
        raise NameError, name

import sys
sys.modules[_ _name_ _] = _const(  )

Now any client code can import const, then bind an attribute on the const module just once, as follows:

const.magic = 23

Once the attribute is bound, the program cannot accidentally rebind or unbind it:

const.magic = 88      # would raise const.ConstError
del const.magic       # would raise const.ConstError

Discussion

In Python, variables can be rebound at will, and modules don’t let you define special methods such as an instance’s _ _setattr_ _ to stop rebinding. An easy solution (in Python 2.1 and later) is to set up an instance as if it was a module.

In Python 2.1 and later, no check is made to force entries in sys.modules to be actual module objects. You can install an instance object there and take advantage of attribute-access special methods (e.g., to prevent rebinding, to synthesize attributes on the fly in _ _getattr_ _, and so ...

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Publisher Resources

ISBN: 0596001673Catalog PageErrata