def __getattribute__(selfname)superget object __getattribute__ don' loopone level up if name ='acct'on all attr fetches return superget(self'acct')[:- '***elif name ='remain'return superget(self'retireage'superget(self'age'elsereturn superget(selfnamenameageaddrstored def __setattr__(selfnamevalue)if name ='name'on all attr assignments value value lower(replace('' 'addr stored directly elif name ='age'if value raise valueerror('invalid age'elif name ='acct'value value replace('-'''if len(value!self acctlenraise typeerror('invald acct number'elif name ='remain'raise typeerror('cannot set remain'self __dict__[namevalue avoid loopsorig names both the getattr and getattribute scripts work the same as the property and per-clientinstance descriptor versionswhen run by both tester scripts on either or -four ways to achieve the same goal in pythonthough they vary in structureand are perhaps less redundant in some other roles be sure to study and run this section' code on your own for more pointers on managed attribute coding techniques summary this covered the various techniques for managing access to attributes in pythonincluding the __getattr__ and __getattribute__ operator overloading methodsclass propertiesand class attribute descriptors along the wayit compared and contrasted these tools and presented handful of use cases to demonstrate their behavior continues our tool-building survey with look at decorators--code run automatically at function and class creation timerather than on attribute access before we continuethoughlet' work through set of questions to review what we've covered here test your knowledgequiz how do __getattr__ and __getattribute__ differ how do properties and descriptors differ how are properties and decorators related managed attributes