public void ForbiddenDaysIsWeekInForbiddenDays()
{
var startDate = new DateTime(2018, 10, 03); // Monday
var weekdaySlots = new DailySlot[][]
{
new DailySlot[] // Sunday
{
new DailySlot {
StartTime = new DateTime(1, 1, 1, 10, 00, 00), EndTime = new DateTime(1, 1, 1, 11, 00, 00)
},
new DailySlot {
StartTime = new DateTime(1, 1, 1, 16, 00, 00), EndTime = new DateTime(1, 1, 1, 17, 00, 00)
}
},
new DailySlot[] { }, // Monday
new DailySlot[] { }, // Tuesday
new DailySlot[] { }, // Wednesday
new DailySlot[] // Thursday
{
new DailySlot {
StartTime = new DateTime(1, 1, 1, 10, 00, 00), EndTime = new DateTime(1, 1, 1, 11, 00, 00)
},
new DailySlot {
StartTime = new DateTime(1, 1, 1, 16, 00, 00), EndTime = new DateTime(1, 1, 1, 17, 00, 00)
}
},
new DailySlot[] { }, // Friday
new DailySlot[] { } // Saturday
};
Assert.IsTrue(PlannerScheduler.IsWeekInForbiddenDays(startDate, weekdaySlots, new DateTime[] { new DateTime(2018, 10, 4) }));
Assert.IsTrue(PlannerScheduler.IsWeekInForbiddenDays(startDate, weekdaySlots, new DateTime[] { new DateTime(2018, 10, 9) }));
}
public void Initialize(ProblemDefinition problemDefinition, string planningSimulationWorldName)
{
var world = new World(planningSimulationWorldName);
var stateManager = world.GetOrCreateSystem <StateManager>();
world.GetOrCreateSystem <SimulationSystemGroup>().AddSystemToUpdateList(stateManager);
var playerLoop = UnityEngine.LowLevel.PlayerLoop.GetCurrentPlayerLoop();
ScriptBehaviourUpdateOrder.AddWorldToPlayerLoop(world, ref playerLoop);
m_StateConverter = new PlannerStateConverter <TraitBasedObject, StateEntityKey, StateData, StateDataContext, StateManager>(problemDefinition, stateManager);
m_Scheduler = new PlannerScheduler <StateEntityKey, ActionKey, StateManager, StateData, StateDataContext, ActionScheduler, DefaultCumulativeRewardEstimator, TerminationEvaluator, DestroyStatesJobScheduler>();
m_Scheduler.Initialize(stateManager, new DefaultCumulativeRewardEstimator(), new TerminationEvaluator(), problemDefinition.DiscountFactor);
m_Executor = new Match3PlanExecutor(stateManager, m_StateConverter);
// Ensure planning jobs are not running when destroying the state manager
stateManager.Destroying += () => m_Scheduler.CurrentJobHandle.Complete();
}
public IPlan Run(IPlan initPlan, ISearch SearchMethod, ISelection SelectMethod, int pnum, float cutoff)
{
var directory = Parser.GetTopDirectory() + "/Results/";
System.IO.Directory.CreateDirectory(directory);
var POP = new PlannerScheduler(initPlan.Clone() as IPlan, SelectMethod, SearchMethod)
{
directory = directory,
problemNumber = pnum
};
//Debug.Log("Running plan-search");
var Solutions = POP.Solve(1, cutoff);
if (Solutions != null)
{
CachePlan(Solutions[0] as PlanSchedule);
return(Solutions[0]);
}
//Debug.Log(string.Format("explored: {0}, expanded: {1}", POP.Open, POP.Expanded));
return(null);
}
public List <string> RunTest(float cutoffTime, int probNum, string problemDirectory, bool run_all)
{
Parser.path = @"D:\documents\frostbow\";
DeCacheWithProblemSpec(problemDirectory);
var initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
var PlanSteps = new List <string>();
initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
Run(initialPlan, new ADstar(false), new E3Star(new AddReuseHeuristic(), 6), probNum, cutoffTime);
if (run_all)
{
// E0
initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
Run(initialPlan, new ADstar(false), new E0(new AddReuseHeuristic()), probNum, cutoffTime);
initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
Run(initialPlan, new ADstar(false), new E0(new NumOpenConditionsHeuristic()), probNum, cutoffTime);
initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
Run(initialPlan, new ADstar(false), new E0(new ZeroHeuristic()), probNum, cutoffTime);
// E3
initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
Run(initialPlan, new ADstar(false), new E3(new AddReuseHeuristic()), probNum, cutoffTime);
initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
Run(initialPlan, new ADstar(false), new E3(new NumOpenConditionsHeuristic()), probNum, cutoffTime);
initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
Run(initialPlan, new ADstar(false), new E3(new ZeroHeuristic()), probNum, cutoffTime);
var karray = new List <int>()
{
1, 2, 4, 6, 8, 16
};
foreach (var k in karray)
{
initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
Run(initialPlan, new ADstar(false), new E3Star(new AddReuseHeuristic(), k), probNum, cutoffTime);
initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
Run(initialPlan, new ADstar(false), new E3Star(new NumOpenConditionsHeuristic(), k), probNum, cutoffTime);
initialPlan = PlannerScheduler.CreateInitialPlan(initial, goal);
Run(initialPlan, new ADstar(false), new E3Star(new ZeroHeuristic(), k), probNum, cutoffTime);
}
}
// END OF ESPERIMENT
//var solution = Run(initialPlan, new ADstar(false), new E3Star(new AddReuseHeuristic()), cutoffTime);
//var solution = Run(initialPlan, new ADstar(false), new E3Star(new NumOpenConditionsHeuristic()), cutoffTime);
//var solution = Run(initialPlan, new ADstar(false), new E3(new AddReuseHeuristic()), cutoffTime);
//var solution = Run(initialPlan, new ADstar(false), new E3(new AddReuseHeuristic()), cutoffTime);
//var solution = Run(initPlan, new BFS(), new Nada(new ZeroHeuristic()), 20000);
//if (solution != null)
//{
// //Debug.Log(solution.ToStringOrdered());
// foreach (var step in solution.Orderings.TopoSort(solution.InitialStep))
// {
// Console.WriteLine(step);
// PlanSteps.Add(step.ToString());
// }
//}
//else
//{
// Console.WriteLine("No good");
//}
return(PlanSteps);
}
