internal MainLearningMethod(IXmlFileController fileController, ITreeBuilder builder)
{
ActionLearningStrategy = new MainActionLearningStrategy();
var controller = new SubstitutionController(new SubstitutionDocumentConverter(), fileController, new SubstitutionMapper());
DecisionTreeLearningStrategy = new MainDecisionTreeLearningStrategy(controller, builder);
DesireLearningStrategy = new MainDesireLearningStrategy();
EmotionLearningStrategy = new MainEmotionLearningStrategy();
MemoryLearningStrategy = new MainMemoryLearningStrategy();
OpinionLearningStrategy = new MainOpinionLearningStrategy();
PersonalValueLearningStrategy = new MainPersonalValueLearningStrategy(new PersonalValueAssociations());
QualityLearningStrategy = new MainQualityLearningStrategy();
}
public void AnalyzeAndLearn_NRVAValuesTests_NewValueAdded2PercentOfTheTime()
{
//ARRANGE
var learningStrategy = new MainPersonalValueLearningStrategy(new PersonalValueAssociations());
var Morty = new Person("Morty", Gender.Male, Sex.Male, Orientation.Straight, Guid.NewGuid());
int[] compiledResults = { 0, 0 };
//ACT
for (int i = 0; i < 1000; i++)
{
var character = new global::RNPC.Core.Character(Morty, Archetype.TheInnocent)
{
FileController = new DecisionTreeFileController(),
DecisionTreeBuilder = new DecisionTreeBuilder()
};
List <NodeTestInfo> nodeTests = new List <NodeTestInfo>
{
new NodeTestInfo
{
CharacteristicName = "Determination",
TestedCharacteristic = CharacteristicType.Values,
Result = false,
AttributeValue = 0,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Determination",
TestedCharacteristic = CharacteristicType.Values,
Result = false,
AttributeValue = 0,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Determination",
TestedCharacteristic = CharacteristicType.Values,
Result = false,
AttributeValue = 0,
Modifier = 0
}
};
character.MyMemory.AddNodeTestResults(nodeTests);
bool result = RunAddingValueLearningTest(character, learningStrategy);
if (result)
{
compiledResults[0]++;
}
else
{
compiledResults[1]++;
}
}
//ASSERT
//Stat is 2%. with random we allow +-2%
Assert.IsTrue(compiledResults[0] < 40);
Assert.IsTrue(compiledResults[0] > 0);
}
public void AnalyzeAndLearn_EightAchievementTests_NewValueRemoved30PercentOfTheTime()
{
//ARRANGE
var learningStrategy = new MainPersonalValueLearningStrategy(new PersonalValueAssociations());
var Rick = new Person("Rick", Gender.Male, Sex.Male, Orientation.Pansexual, Guid.NewGuid());
int[] compiledResults = { 0, 0 };
//ACT
for (int i = 0; i < 1000; i++)
{
var character = new global::RNPC.Core.Character(Rick, Archetype.TheCreator)
{
FileController = new DecisionTreeFileController(),
DecisionTreeBuilder = new DecisionTreeBuilder()
};
//PersonalValues.Achievement
List <NodeTestInfo> nodeTests = new List <NodeTestInfo>
{
new NodeTestInfo
{
CharacteristicName = "Achievement",
TestedCharacteristic = CharacteristicType.Values,
Result = true,
AttributeValue = 0,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Achievement",
TestedCharacteristic = CharacteristicType.Values,
Result = true,
AttributeValue = 0,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Achievement",
TestedCharacteristic = CharacteristicType.Values,
Result = true,
AttributeValue = 0,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Achievement",
TestedCharacteristic = CharacteristicType.Values,
Result = true,
AttributeValue = 0,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Achievement",
TestedCharacteristic = CharacteristicType.Values,
Result = true,
AttributeValue = 0,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Achievement",
TestedCharacteristic = CharacteristicType.Values,
Result = true,
AttributeValue = 0,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Achievement",
TestedCharacteristic = CharacteristicType.Values,
Result = true,
AttributeValue = 0,
Modifier = 0
},
new NodeTestInfo
{
CharacteristicName = "Achievement",
TestedCharacteristic = CharacteristicType.Values,
Result = true,
AttributeValue = 0,
Modifier = 0
}
};
character.MyMemory.AddNodeTestResults(nodeTests);
bool result = RunRemovingValueLearningTest(character, learningStrategy);
if (result)
{
compiledResults[0]++;
}
else
{
compiledResults[1]++;
}
//We add it back to the list
character.MyTraits.PersonalValues.Add(PersonalValues.Achievement);
}
//ASSERT
//Stat is 30%. with random we allow +-3.5%
//if(compiledResults[0] > 330)
// Console.WriteLine(compiledResults[0]);
Assert.IsTrue(compiledResults[0] <= 335);
//if (compiledResults[0] < 270)
// Console.WriteLine(compiledResults[0]);
Assert.IsTrue(compiledResults[0] >= 265);
}