public void MarkovProcessTest3()
{
//S0:
//AB-ABar1 => S0 0.8 * 0.8
// => S1 1 - 0.8 * 0.8
//S1:
//MBAM-ABar => S0 0.8
// => S1 0.2
Ability AB = new Ability();
Ability ABar1 = new Ability();
Ability MBAM = new Ability();
Ability ABar = new Ability();
Ability ABABar1 = new AbilitySequence(AB, ABar1);
Ability MBAMABar = new AbilitySequence(MBAM, ABar);
State <Ability> S0 = new State <Ability>()
{
Name = "S0"
};
State <Ability> S1 = new State <Ability>()
{
Name = "S1"
};
S0.Transitions = new List <StateTransition <Ability> >()
{
new StateTransition <Ability>()
{
Ability = ABABar1, TargetState = S0, TransitionDuration = ABABar1.Duration, TransitionProbability = 0.8 * 0.8
},
new StateTransition <Ability>()
{
Ability = ABABar1, TargetState = S1, TransitionDuration = ABABar1.Duration, TransitionProbability = 1.0 - 0.8 * 0.8
},
};
S1.Transitions = new List <StateTransition <Ability> >()
{
new StateTransition <Ability>()
{
Ability = MBAMABar, TargetState = S0, TransitionDuration = MBAMABar.Duration, TransitionProbability = 0.8
},
new StateTransition <Ability>()
{
Ability = MBAMABar, TargetState = S1, TransitionDuration = MBAMABar.Duration, TransitionProbability = 0.2
},
};
List <State <Ability> > stateSpace = new List <State <Ability> >()
{
S0, S1
};
MarkovProcess <Ability> mp = new MarkovProcess <Ability>(stateSpace);
Assert.AreEqual(mp.StateWeight[0], 0.69, 0.01, "S0");
Assert.AreEqual(mp.StateWeight[1], 0.31, 0.01, "S1");
}
public void MarkovProcessTest2()
{
//S0:
//A => S0 0.5
//AB => S0 0.5
Ability A = new Ability()
{
Damage = 100, Duration = 2
};
Ability B = new Ability()
{
Damage = 200, Duration = 1
};
Ability AB = new AbilitySequence(A, B);
State <Ability> S0 = new State <Ability>()
{
Name = "S0"
};
S0.Transitions = new List <StateTransition <Ability> >()
{
new StateTransition <Ability>()
{
Ability = A, TargetState = S0, TransitionDuration = A.Duration, TransitionProbability = 0.5
},
new StateTransition <Ability>()
{
Ability = AB, TargetState = S0, TransitionDuration = AB.Duration, TransitionProbability = 0.5
},
};
List <State <Ability> > stateSpace = new List <State <Ability> >()
{
S0
};
MarkovProcess <Ability> mp = new MarkovProcess <Ability>(stateSpace);
Assert.AreEqual(mp.StateWeight[0], 1.0, 0.000000000001, "S0");
Assert.AreEqual(mp.AverageTransitionDuration, 2.5, 0.000000000001, "time");
double averageDamage = 0.0;
foreach (KeyValuePair <Ability, double> kvp in mp.AbilityWeight)
{
averageDamage += kvp.Key.Damage * kvp.Value;
}
Assert.AreEqual(averageDamage, 200.0, "damage");
Assert.AreEqual(averageDamage / mp.AverageTransitionDuration, 80.0, 0.000000000001, "dps");
}
public void MarkovProcessTest3()
{
//S0:
//AB-ABar1 => S0 0.8 * 0.8
// => S1 1 - 0.8 * 0.8
//S1:
//MBAM-ABar => S0 0.8
// => S1 0.2
Ability AB = new Ability();
Ability ABar1 = new Ability();
Ability MBAM = new Ability();
Ability ABar = new Ability();
Ability ABABar1 = new AbilitySequence(AB, ABar1);
Ability MBAMABar = new AbilitySequence(MBAM, ABar);
State<Ability> S0 = new State<Ability>() { Name = "S0" };
State<Ability> S1 = new State<Ability>() { Name = "S1" };
S0.Transitions = new List<StateTransition<Ability>>()
{
new StateTransition<Ability>() { Ability = ABABar1, TargetState = S0, TransitionDuration = ABABar1.Duration, TransitionProbability = 0.8 * 0.8 },
new StateTransition<Ability>() { Ability = ABABar1, TargetState = S1, TransitionDuration = ABABar1.Duration, TransitionProbability = 1.0 - 0.8 * 0.8 },
};
S1.Transitions = new List<StateTransition<Ability>>()
{
new StateTransition<Ability>() { Ability = MBAMABar, TargetState = S0, TransitionDuration = MBAMABar.Duration, TransitionProbability = 0.8 },
new StateTransition<Ability>() { Ability = MBAMABar, TargetState = S1, TransitionDuration = MBAMABar.Duration, TransitionProbability = 0.2 },
};
List<State<Ability>> stateSpace = new List<State<Ability>>() { S0, S1 };
MarkovProcess<Ability> mp = new MarkovProcess<Ability>(stateSpace);
Assert.AreEqual(mp.StateWeight[0], 0.69, 0.01, "S0");
Assert.AreEqual(mp.StateWeight[1], 0.31, 0.01, "S1");
}
public void MarkovProcessTest2()
{
//S0:
//A => S0 0.5
//AB => S0 0.5
Ability A = new Ability() { Damage = 100, Duration = 2 };
Ability B = new Ability() { Damage = 200, Duration = 1 };
Ability AB = new AbilitySequence(A, B);
State<Ability> S0 = new State<Ability>() { Name = "S0" };
S0.Transitions = new List<StateTransition<Ability>>()
{
new StateTransition<Ability>() { Ability = A, TargetState = S0, TransitionDuration = A.Duration, TransitionProbability = 0.5 },
new StateTransition<Ability>() { Ability = AB, TargetState = S0, TransitionDuration = AB.Duration, TransitionProbability = 0.5 },
};
List<State<Ability>> stateSpace = new List<State<Ability>>() { S0 };
MarkovProcess<Ability> mp = new MarkovProcess<Ability>(stateSpace);
Assert.AreEqual(mp.StateWeight[0], 1.0, 0.000000000001, "S0");
Assert.AreEqual(mp.AverageTransitionDuration, 2.5, 0.000000000001, "time");
double averageDamage = 0.0;
foreach (KeyValuePair<Ability, double> kvp in mp.AbilityWeight)
{
averageDamage += kvp.Key.Damage * kvp.Value;
}
Assert.AreEqual(averageDamage, 200.0, "damage");
Assert.AreEqual(averageDamage / mp.AverageTransitionDuration, 80.0, 0.000000000001, "dps");
}
