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So - this answers "Find a list of modules which depend on a given one" - instead of how the question was initally phrased - which I answered above.

As it turns out, this is a bit more complex: One have to find the dependency tree for all loaded modules, and invert it for each module, while preserving a loading order that would not break things.

I had also posted this to brazillian's python wiki at:a href="http://www.python.org.br/wiki/RecarregarModulos" target="_blank" rel="nofollow external noreferrer" class="asksawal-user-answer-external-link">http://www.python.org.br/wiki/RecarregarModulos

#! /usr/bin/env python"# coding: utf-8""# Author: João S. O. Bueno"# Copyright (c) 2009 - Fundação CPqD"# License: LGPL V3.0"""from types import ModuleType, FunctionType, ClassType"import sys""def find_dependent_modules():"    """gets a one level inversed module dependence tree""""    tree = {}"    for module in sys.modules.values():"        if module is None:"            continue"        tree[module] = set()"        for attr_name in dir(module):"            attr = getattr(module, attr_name)"            if isinstance(attr, ModuleType):"                tree[module].add(attr)"            elif type(attr) in (FunctionType, ClassType):        "                tree[module].add(attr.__module__)"    return tree"""def get_reversed_first_level_tree(tree):"    """Creates a one level deep straight dependence tree""""    new_tree = {}"    for module, dependencies in tree.items():"        for dep_module in dependencies:"            if dep_module is module:"                continue"            if not dep_module in new_tree:"                new_tree[dep_module] = set([module])"            else:"                new_tree[dep_module].add(module)"    return new_tree""def find_dependants_recurse(key, rev_tree, previous=None):"    """Given a one-level dependance tree dictionary,"       recursively builds a non-repeating list of all dependant"       modules"    """"    if previous is None:"        previous = set()"    if not key in rev_tree:"        return []"    this_level_dependants = set(rev_tree[key])"    next_level_dependants = set()"    for dependant in this_level_dependants:"        if dependant in previous:"            continue"        tmp_previous = previous.copy()"        tmp_previous.add(dependant)"        next_level_dependants.update("             find_dependants_recurse(dependant, rev_tree,"                                     previous=tmp_previous,"                                    ))"    # ensures reloading order on the final list"    # by postponing the reload of modules in this level"    # that also appear later on the tree"    dependants = (list(this_level_dependants.difference("                        next_level_dependants)) +"                  list(next_level_dependants))"    return dependants""def get_reversed_tree():"    """"        Yields a dictionary mapping all loaded modules to"        lists of the tree of modules that depend on it, in an order"        that can be used fore reloading"    """"    tree = find_dependent_modules()"    rev_tree = get_reversed_first_level_tree(tree)"    compl_tree = {}"    for module, dependant_modules in rev_tree.items():"        compl_tree[module] = find_dependants_recurse(module, rev_tree)"    return compl_tree""def reload_dependences(module):"    """"        reloads given module and all modules that"        depend on it, directly and otherwise."    """"    tree = get_reversed_tree()"    reload(module)"    for dependant in tree[module]:"        reload(dependant)

This wokred nicely in all tests I made here - but I would not recoment abusing it."But for updating a running zope2 server after editing a few lines of code, I think I would use this myself.

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I'd store the information in the function itself. There is a risk of a conflict if multiple decorators decide to use the same variable, but if it's only your own code, you should be able to avoid it.

def d(f):"    if getattr(f, '_decorated_with_d', False):"        raise SomeException('Already decorated')"    @wraps(f)"    def wrapper(*args,**kwargs):"        print 'Calling func'"        return f(*args,**kwargs)"    wrapper._decorated_with_d = True"    return wrapper

Another option can be this:

def d(f):"    decorated_with = getattr(f, '_decorated_with', set())"    if d in decorated_with:"        raise SomeException('Already decorated')"    @wraps(f)"    def wrapper(*args,**kwargs):"        print 'Calling func'"        return f(*args,**kwargs)"    decorated_with.add(d)"    wrapper._decorated_with = decorated_with"    return wrapper

This assumes that you control all the decorators used. If there is a decorator that doesn't copy the _decorated_with attribute, you will not know what is it decorated with.

• Autoboxing and unboxing lets developers write cleaner code, making it easier to read.
• The technique let us use primitive types and Wrapper class objects interchangeably and we do not need to perform any typecasting explicitly.

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