Scenario Runner
- class discopygal.experiments.scenarios_runner.Scenario(solver_class, scene_path, parameters, time_limit, repetitions)
A type that defines a scenario - All the info required to run a solver on a scene.
- solver_class
- Solver class to use.Required parameter
- scene_path
- Path to json scene file to use.Required parameter
- parameters
- Parameters to pass to solver as dict: {<parameter_name>: <parameter_value>}.For parameters that won’t be explicitly specified, their default value as defined in the solver will be used.Optional - default is {}, e.g. the default args of the solver
- time_limit
- Max time to allow the solver to run (in seconds).If solver exceeds this time it stops and regarded as it failed.Optional - default is None - e.g. no time limit
- repetitions
- Number of times to repeat this scenario.Results of the scenario are average of all there repetitions.Optional - default is 10.
- parameters
Alias for field number 2
- repetitions
Alias for field number 4
- scene_path
Alias for field number 1
- solver_class
Alias for field number 0
- time_limit
Alias for field number 3
- exception discopygal.experiments.scenarios_runner.TimeoutException
- discopygal.experiments.scenarios_runner.run_scenarios(scenarios, results_root_path, extra_result_handlers=None, resume_latest=False)
Run given scenarios and outputs the results to given file as csv
- Parameters:
scenarios ([
Scenario
]) – List of scenarios to runresults_root_path (
dict
) – Output root dir for the resultsextra_result_handlers –
More custom handlers that can run on the result of each solution and perform further calculations.A dict of {“<field_name>”: handler} where handler is a function that receives the path_collection and solver object and returns a number.resume_latest (
bool
) –Resume the last experiment in result_root_path (according to the date in the name of the dir).All parameters (scenarios, extra_result_handlers) must be the same as the original experiment.If no experiments in result_root_path this parameter is ignored.