The run() method is called after the generate() method and is used to run all the specified tests. It returns a pass/fail flag for each test.
h.run()
Once the tests have been run using the run() method, the results can be accessed using the .generated_results() method.
h.generated_results()
This method returns the generated results in the form of a Pandas dataframe, which provides a convenient and easy-to-use format for working with the test results. You can use this method to quickly identify the test cases that failed and to determine where fixes are needed.
A generated results dataframe looks like this:
| category | test_type | original | test_case | expected_result | actual_result | pass |
|---|---|---|---|---|---|---|
| robustness | lowercase | I live in Berlin | i live in berlin | Berlin: LOC | False | |
| robustness | uppercase | I live in Berlin | I LIVE IN BERLIN | Berlin: LOC | BERLIN: LOC | True |