What is the state of software tools to help catch and prevent AttributeError and TypeError in python code? These two classes of errors occur often in the bugzilla reports for anaconda (recently: https://bugzilla.redhat.com/show_bug.cgi?id=868707 ). I'd like to see fewer AttributeError and TypeError. Because new attributes and types may be created at run time, in general errors may be even harder to find than in languages with static typing. Yet for most python code the set of types and attributes is semi-fixed. There are no changes at run time except due to importing modules which were created long ago. During development, the set of types and attributes changes only in bursts, and often the bursts are weeks apart. The tools for python that I found by searching the web [0][1] seemed to be oriented more towards syntax and style, and not including AttributeError and TypeError. Nothing even came close to the depth and thoroughness of BEAM [2] or Coverity [3] for C/C++. Help? ----- [0] google: python code checker [1] http://en.wikipedia.org/wiki/List_of_tools_for_static_code_analysis#Python pychecker pylint [2] http://alexandria.tue.nl/extra2/afstversl/E/523798.pdf (IBM "BEAM" checker [Bugs, Errors, And Mistakes]; Guido Volleberg, 1999) *very* good: finds and prints an execution path which leads to null-pointer errors in C and C++; includes call+return, loop+exit, conditionals, etc. Notably helpful in the development of valgrind itself. [3] http://www.coverity.com/products/quality-advisor.html -- -- devel mailing list devel@xxxxxxxxxxxxxxxxxxxxxxx https://admin.fedoraproject.org/mailman/listinfo/devel
