Python Test Coverage Tool
The Python Test Coverage tool enables the collection and display of code coverage data on Python software source code bases of arbitrary size. It is a member of SD's family of Test Coverage tools.
Python Test Coverage Features
- Python2 and Python3 compatible, covering Python 2.1 to Python 3.8
- Works with arbitrary subsets of source code base
- Can accumulate data from multiple test runs
- Handles
tens of thousands of files - Extremely low probe overhead
- Complete control over which Python class files are profiled
- Operations to combine Test Coverage data for unions, deltas, intersections
- Incremental insertion of probes
- Incremental reporting of which test cases need to be re-run based on code changes at the method level
- Produces coverage report by method, class, application, file. The coverage report can be exported as XML. Either summary can be produced in a batch script to enable test coverage in build scripts.
- The probe installer component runs on Windows
- Test Coverage data display can run on any platform with a full JVM
The Python Test Coverage tool has an intuitively simply display. It shows
- Possible test coverage vector (TCV) result files
- Selected/accumulated/computed TCV files
- List of files being tested for coverage
- Locations of probe points in files
- Browsable source text of file of current interest
- Covered/uncovered status of each probe point on file source text
- Summary statistics for percentage covered
Here's a screenshot (in a popup window) of the Python Test Coverage display applied to a system of over 600 Python files (100,000 lines). If you have popups disabled, try this link: screen shot Green ("go") code has been covered/executed by some test; red ("stop") code has not been executed by any test.
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