Coverage.py vs. Python vs. SPOJ vs. Visual Basic Comparison Chart

Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.

The SPOJ platform is centered around an online judge system, which serves for the automatic assessment of user-submitted programs. Some of its most important features include support for more than 45 programming languages and compilers, including C, C++, Pascal, JAVA, C#, Perl, Python, Ruby, Haskell, Ocaml, and esoteric languages. A rapidly growing problem-set of about 13000 tasks available for practice 24hours/day (in English, Polish, Vietnamese, Portuguese and other languages), including many original tasks prepared by the community of expert problemsetters associated with the project. A flexible testing system, supporting dynamic interaction with submitted programs and highly customisable output of assessment results. Intuitive browser-based content management which allows users to set up their own contests within a matter of minutes, and to make use of tasks already available in the system. More than 2400 contests hosted as of 2012.