Testing

Testing concentrationMetrics has two major components:

• normal code testing aiming to certify the correctness of code execution

• algorithm testing aiming to validate the correctness of algorithmic implementation

Note

In general algorithmic testing is not as precise as code testing and may be more subject to uncertainties such as numerical accuracy.

Running all the examples

Running all the examples is a quick way to check that everything is installed properly, all paths are defined etc. At the root of the distribution:

python3 run_examples.py

Warning

The script might generate a number of files / images at random places within the distribution

Test Suite

The testing framework is based on unittest.

Then run all tests

python3 test.py

For an individual test:

pytest tests/test_TESTNAME.py