BioCro (version 3.3.1)

run_model_test_cases: Run BioCro model test cases

Description

BioCro models can be tested using test cases, which are sets of known outputs that correspond to particular inputs. The run_model_test_cases function runs one or more of these tests.

Note that model tests are distinct from the module tests described in module_testing.

Usage

run_model_test_cases(model_test_cases)

Value

If no issues are found, the function will return TRUE.

Arguments

model_test_cases

A list of module test cases, each of which should be created using model_test_case.

Details

The run_model_test_cases function is a key part of the BioCro model testing system. See model_testing for more information.

For each test case, the following checks will be performed:

• The model definition must be valid according to validate_dynamical_system_inputs.

• The model will be run, which should not cause any errors or warnings.

For each test case where check_outputs was set to TRUE, the following additional checks comparing the new result to a saved result will be performed:

• The new result should have the same number of rows as the old result.

• With the exception of any columns in quantities_to_ignore, all columns in the stored result should be included in the new result.

• With the exception of any columns in quantities_to_ignore, all columns in the stored result should have the same values in the new result (to within the specified tolerance). This check will be made using all.equal with tolerance set to relative_tolerance.

When comparing the values of each column, values will only be checked for every Nth row of the new result, where N is the value of row_interval specified when defining the test case.

For each test case where check_outputs is TRUE, the stored result should be created using the update_stored_model_results function.

If any of the above checks fail for any of the supplied test cases, an error will be thrown with a descriptive message.

Besides the checks above, a warning message will also be sent to the user if there are columns in the new result that are not included in the saved result.

See Also

• model_testing

• model_test_case

• update_stored_model_results

• compare_model_output

Examples

# Define and run a test case for the miscanthus model
miscanthus_test_case <- model_test_case(
    'miscanthus_x_giganteus',
    miscanthus_x_giganteus,
    get_growing_season_climate(weather$'2005'),
    FALSE
)

run_model_test_cases(
  list(
    miscanthus_test_case
  )
)