public void Calculate_Simple_Norm_Result()
{
//Arrange
var namesHelper = Substitute.For <IEducationCharacteristicNamesHelper>();
var educationLineSummator = Substitute.For <ISummator <EducationLine> >();
var idealResult = Substitute.For <IIdealResult>();
var educationLineCharacterizer = new EducationLineCharacterizer(namesHelper, educationLineSummator,
idealResult);
var educationLine = new EducationLine();
var characteristicNames = new List <string>
{
"Русский",
"Математика",
"Информатика"
};
namesHelper.Names.Returns(characteristicNames);
var complicatedSum = new Dictionary <string, double>();
complicatedSum.Add("Русский", 0.4);
complicatedSum.Add("Математика", 0.6);
complicatedSum.Add("Информатика", 0.8);
educationLineSummator.CalculateSimpleSum(educationLine).Returns(complicatedSum);
var complicatedIdealSum = new Dictionary <string, double>();
complicatedIdealSum.Add("Русский", 0.4);
complicatedIdealSum.Add("Математика", 0.6);
complicatedIdealSum.Add("Информатика", 0.8);
idealResult.GetSimpleResult().Returns(Task.FromResult(complicatedIdealSum));
//Act
var resultTask = educationLineCharacterizer.Calculate(educationLine, false);
resultTask.Wait();
//Assert
var correctAnswer = new Dictionary <string, double>();
correctAnswer.Add("Русский", 1);
correctAnswer.Add("Математика", 1);
correctAnswer.Add("Информатика", 1);
foreach (var item in resultTask.Result)
{
Assert.AreEqual(correctAnswer[item.Key], item.Value);
}
}
//Критерий совпадения кластеров - заполнение направлений во временный список
private async Task InitialiseSecondCriterion()
{
var totalAvailLines = 0;
var queryBuilder = new QueryBuilder();
var educationCharacteristicNamesHelper = new EducationCharacteristicNamesHelper(queryBuilder);
var entrantSummator = new EntrantSummator(educationCharacteristicNamesHelper);
var entrantCharacterizer = new EntrantCharacterizer(educationCharacteristicNamesHelper, entrantSummator,
new IdealEntrantResult(entrantSummator, queryBuilder));
_entrantCharacteristics = await entrantCharacterizer.Calculate(_entrant);
_maxEntrantClusterSum = _entrantCharacteristics.Values.Max();
var educationLineSummator = new EducationLineSummator(educationCharacteristicNamesHelper);
var edLineClusterizer = new EducationLineCharacterizer(educationCharacteristicNamesHelper,
educationLineSummator, new IdealEducationLineResult(educationLineSummator, queryBuilder));
foreach (var edLine in _educationLines)
{
var edLineAcceptable = true;
var edLineResult = await edLineClusterizer.Calculate(edLine);
if (!edLineResult.Any())
{
edLineAcceptable = false;
}
foreach (var item in edLineResult)
{
if (!_entrantCharacteristics.ContainsKey(item.Key))
{
edLineAcceptable = false;
}
}
if (edLineAcceptable == false)
{
var educationLine = new SecondCriterionUnit();
educationLine.DatabaseId = Convert.ToInt32(edLine.Id);
educationLine.SecondCriterionAcceptable = false;
educationLine.LocalPriority = 0;
_secondCriterionContainer.Add(educationLine);
}
else
{
var educationLine = new SecondCriterionUnit();
educationLine.DatabaseId = Convert.ToInt32(edLine.Id);
educationLine.SecondCriterionAcceptable = true;
educationLine.MatrixId = totalAvailLines;
educationLine.EducationLineClusters = edLineResult;
educationLine.LocalPriority = 0;
totalAvailLines++;
_secondCriterionContainer.Add(educationLine);
}
}
_secondCriterionMatrixSize = totalAvailLines;
if (_secondCriterionContainer.Count > _totalEducationLines)
{
_totalEducationLines = _secondCriterionContainer.Count;
}
}
//Критерий совпадения кластеров - заполнение направлений во временный список
private void InitialiseSecondCriterion()
{
int totalAvailLines = 0;
var edLineClusterizer = new EducationLineCharacterizer(new EducationLineCalculationOptions());
educationLineClusters = edLineClusterizer.Calculate(_educationLine);
maxEdLineClusterSum = educationLineClusters.Values.Max();
//foreach (var item in educationLineClusters)
//{
// if (item.Value == null)
// {
// Console.WriteLine("Removing : " + item.Key);
// educationLineClusters.Remove(item.Key);
// }
//}
var entrantCharacterizer = new EntrantCharacterizer(new EntrantCalculationOptions(false, true, true, true, true, true));
foreach (Entrant entrant in _entrants)
{
bool userAcceptable = true;
var entrantCharacteristics = entrantCharacterizer.Calculate(entrant);
if (entrantCharacteristics.Count() <= 0)
{
userAcceptable = false;
}
//foreach (var item in entrantCharacteristics)
//{
// if (item.Value == null)
// {
// Console.WriteLine("Removing : " + item.Key);
// entrantCharacteristics.Remove(item.Key);
// }
//}
foreach (var item in educationLineClusters)
{
if (!entrantCharacteristics.ContainsKey(item.Key))
{
userAcceptable = false;
}
}
if (userAcceptable == false)
{
SecondCriterionUnit Entant = new SecondCriterionUnit();
Entant.databaseId = Convert.ToInt32(entrant.Id);
Entant.secondCriterionAcceptable = false;
Entant.localPriority = 0;
SecondCriterionContainer.Add(Entant);
}
else
{
SecondCriterionUnit Entant = new SecondCriterionUnit();
Entant.databaseId = Convert.ToInt32(entrant.Id);
Entant.secondCriterionAcceptable = true;
Entant.matrixId = totalAvailLines;
Entant.entrantClusters = entrantCharacteristics;
Entant.localPriority = 0;
totalAvailLines++;
SecondCriterionContainer.Add(Entant);
}
}
secondCriterionMatrixSize = totalAvailLines;
}
//Критерий совпадения кластеров - заполнение направлений во временный список
private void InitialiseSecondCriterion()
{
int totalAvailLines = 0;
entrantCharacteristics = new EntrantCharacterizer(new EntrantCalculationOptions(false, true, true, true, true, true)).Calculate(_entrant);
//foreach (var item in entrantCharacteristics)
//{
// if (item.Value == null)
// {
// Console.WriteLine("Removing : " + item.Key);
// entrantCharacteristics.Remove(item.Key);
// }
//}
maxEntrantClusterSum = entrantCharacteristics.Values.Max();
var edLineClusterizer = new EducationLineCharacterizer(new EducationLineCalculationOptions());
foreach (EducationLine EdLine in _educationLines)
{
bool edLineAcceptable = true;
var edLineResult = edLineClusterizer.Calculate(EdLine);
if (edLineResult.Count() <= 0)
{
edLineAcceptable = false;
}
//foreach (var item in edLineResult)
//{
// if (item.Value == null)
// {
// Console.WriteLine("Removing : " + item.Key);
// edLineResult.Remove(item.Key);
// }
//}
foreach (var item in edLineResult)
{
if (!entrantCharacteristics.ContainsKey(item.Key))
{
edLineAcceptable = false;
}
}
if (edLineAcceptable == false)
{
SecondCriterionUnit EducationLine = new SecondCriterionUnit();
EducationLine.databaseId = Convert.ToInt32(EdLine.Id);
EducationLine.secondCriterionAcceptable = false;
EducationLine.localPriority = 0;
SecondCriterionContainer.Add(EducationLine);
}
else
{
SecondCriterionUnit EducationLine = new SecondCriterionUnit();
EducationLine.databaseId = Convert.ToInt32(EdLine.Id);
EducationLine.secondCriterionAcceptable = true;
EducationLine.matrixId = totalAvailLines;
EducationLine.educationLineClusters = edLineResult;
EducationLine.localPriority = 0;
totalAvailLines++;
SecondCriterionContainer.Add(EducationLine);
}
}
secondCriterionMatrixSize = totalAvailLines;
if (SecondCriterionContainer.Count > totalEducationLines)
{
totalEducationLines = SecondCriterionContainer.Count;
}
}
//Критерий совпадения кластеров - заполнение направлений во временный список
private async void InitialiseSecondCriterion()
{
var totalAvailLines = 0;
var queryBuilder = new QueryBuilder();
var educationCharacteristicNamesHelper = new EducationCharacteristicNamesHelper(queryBuilder);
var educationLineSummator = new EducationLineSummator(educationCharacteristicNamesHelper);
var edLineClusterizer = new EducationLineCharacterizer(educationCharacteristicNamesHelper,
educationLineSummator, new IdealEducationLineResult(educationLineSummator, queryBuilder));
_educationLineClusters = await edLineClusterizer.Calculate(_educationLine);
_maxEdLineClusterSum = _educationLineClusters.Values.Max();
var entrantSummator = new EntrantSummator(educationCharacteristicNamesHelper);
var entrantCharacterizer = new EntrantCharacterizer(educationCharacteristicNamesHelper, entrantSummator,
new IdealEntrantResult(entrantSummator, queryBuilder));
foreach (var entrant in _entrants)
{
var userAcceptable = true;
var entrantCharacteristics = await entrantCharacterizer.Calculate(entrant);
if (!entrantCharacteristics.Any())
{
userAcceptable = false;
}
foreach (var item in _educationLineClusters)
{
if (!entrantCharacteristics.ContainsKey(item.Key))
{
userAcceptable = false;
}
}
if (userAcceptable == false)
{
var entant = new SecondCriterionUnit
{
DatabaseId = Convert.ToInt32(entrant.Id),
SecondCriterionAcceptable = false,
LocalPriority = 0
};
_secondCriterionContainer.Add(entant);
}
else
{
var entant = new SecondCriterionUnit();
entant.DatabaseId = Convert.ToInt32(entrant.Id);
entant.SecondCriterionAcceptable = true;
entant.MatrixId = totalAvailLines;
entant.EntrantClusters = entrantCharacteristics;
entant.LocalPriority = 0;
totalAvailLines++;
_secondCriterionContainer.Add(entant);
}
}
_secondCriterionMatrixSize = totalAvailLines;
}
