public void TestScoreClosestBinary()
{
_cpTaskEnv = CreateEnvironment(FitnessFunction.ClosestBinary);
_cpTaskEnv.ResetAll();
// All values are correct
double[][] actions = new double[_cpTaskEnv.Sequence.Length][];
for (int i = 0; i < _cpTaskEnv.Sequence.Length; i++)
{
actions[i] = new double[_cpTaskEnv.Sequence[i].Length];
for (int j = 0; j < _cpTaskEnv.Sequence[i].Length; j++)
{
if (_cpTaskEnv.Sequence[i][j] == 1) actions[i][j] = 0.6;
else actions[i][j] = 0.4;
}
}
double score = CalcScore(actions);
Assert.AreEqual(score, _cpTaskEnv.MaxScore, "Max score assert");
// All values are wrong
_cpTaskEnv.ResetAll();
actions = new double[_cpTaskEnv.Sequence.Length][];
for (int i = 0; i < _cpTaskEnv.Sequence.Length; i++)
{
actions[i] = new double[_cpTaskEnv.Sequence[i].Length];
for (int j = 0; j < _cpTaskEnv.Sequence[i].Length; j++)
{
if (_cpTaskEnv.Sequence[i][j] == 1) actions[i][j] = 0.4;
else actions[i][j] = 0.6;
}
}
score = CalcScore(actions);
Assert.AreEqual(score, 0, "Min score assert");
}
private void FastForwardToStep(CopyTaskEnvironment env, int step)
{
double[] initialObservation = _cpTaskEnv.InitialObservation;
double[] dummyAction = new double[] { 0, 0 };
for (int i = 1; i < step; i++)
{
_cpTaskEnv.PerformAction(dummyAction);
}
}
public void Before()
{
_cpTaskEnv = CreateEnvironment(FitnessFunction.StrictCloseToTarget);
_cpTaskEnv.ResetAll();
}
public void TestScoreStrictCloseToTarget()
{
_cpTaskEnv = CreateEnvironment(FitnessFunction.StrictCloseToTarget);
_cpTaskEnv.ResetAll();
// All values are correct
double[][] actions = Utilities.DeepCopy(_cpTaskEnv.Sequence);
double score = CalcScore(actions);
Assert.AreEqual(_cpTaskEnv.CurrentScore, _cpTaskEnv.MaxScore, "Max score assert");
// All values are wrong
_cpTaskEnv.ResetAll();
actions = Utilities.DeepCopy(_cpTaskEnv.Sequence);
for (int i = 0; i < actions.Length; i++)
{
for (int j = 0; j < actions[i].Length; j++)
{
if (actions[i][j] == 1) actions[i][j] = 0;
else actions[i][j] = 1;
}
}
Assert.AreEqual(_cpTaskEnv.CurrentScore, 0, "Min score assert");
}
