private void ButtonBrowseDatasetFile_OnClick(object sender, RoutedEventArgs e)
{
var dlg = new Microsoft.Win32.OpenFileDialog
{
DefaultExt = ".csv",
Filter = "CSV Files (*.csv)|*.csv"
};
var result = dlg.ShowDialog();
if (result == true)
{
var fileName = dlg.FileName;
var input = new Input();
datasetVectorsList = input.ReadfromCsv(fileName);
textBoxDatasetInput.Text = fileName;
logger.LogToProgram($"Inputed dataset vector with vector length: {datasetVectorsList.VectorsLength} and count: {datasetVectorsList.VectorsCount}");
if (textBoxQueryInput.Text == String.Empty)
{
logger.LogToProgram("Select query vector csv.");
}
else
{
logger.LogToProgram("Begin calculation.");
}
textBlockDatasetVectorLength.Text = $"Length: {datasetVectorsList.VectorsLength}";
textBlockDatasetVectorCount.Text = $"Count: {datasetVectorsList.VectorsCount}";
}
}
public void Calculate(VectorsListModel queryVectorsList, VectorsListModel datasetVectorsList)
{
logger = new Logger();
logger.LogToProgram($"Started {EngineName} engine.");
//Log to Program.txt
//Thread for L1
logger.LogToProgram($"Starting {ImplementationL1} of {EngineName} engine.");
new Thread(() =>
CalculateL1(queryVectorsList, datasetVectorsList)
).Start();
//Log to Program.txt
//Thread for L2
logger.LogToProgram($"Starting {ImplementationL2} of {EngineName} engine.");
new Thread(() =>
CalculateL2(queryVectorsList, datasetVectorsList)
).Start();
//Log to Program.txt
//Thread for Hamming
logger.LogToProgram($"Starting {ImplementationHamming} of {EngineName} engine.");
new Thread(() =>
CalculateHamming(queryVectorsList, datasetVectorsList)
).Start();
}
public void StartCalculation(VectorsListModel queryVectorsList, VectorsListModel datasetVectorsList)
{
//TODO start calculations with each engine
var simpleCalcilationEngine = new SimpleCalculationEngine();
simpleCalcilationEngine.Calculate(queryVectorsList, datasetVectorsList);
}
public VectorsListModel GenerateVectorsModel(int vectorLength = 512, int count = 1024)
{
var vectorsList = new VectorsListModel();
vectorsList.Vectors = GenerateVectorsList(vectorLength, count);
vectorsList.VectorsCount = count;
vectorsList.VectorsLength = vectorLength;
return(vectorsList);
}
private void CalculateL2(VectorsListModel queryVectorsList, VectorsListModel datasetVectorsList)
{
const string implementationName = ImplementationL2;
logger.ImplementationLogDelete(EngineName, implementationName);
logger.LogToImplementation($"Started {implementationName} of {EngineName}.", EngineName, implementationName);
var sumDoubles = new double[queryVectorsList.VectorsCount, datasetVectorsList.VectorsCount];
var timer = new Timer();
timer.Start();
foreach (var queryVector in queryVectorsList.Vectors)
{
foreach (var datasetVector in datasetVectorsList.Vectors)
{
var queryVectorIndex = queryVectorsList.Vectors.IndexOf(queryVector);
var datasetVectorIndex = datasetVectorsList.Vectors.IndexOf(datasetVector);
var pairTimer = new Timer();
pairTimer.Start();
var value = sumDoubles[queryVectorIndex, datasetVectorIndex] = CalculateL2(queryVector, datasetVector);
var elapsedPair = pairTimer.Stop();
logger.LogToImplementation($"Calculated [{implementationName}] distance of rows: " +
$"( {queryVectorIndex}, {datasetVectorIndex} )" +
$" in {elapsedPair}ms: {value}.", EngineName, implementationName);
}
}
var elapsed = timer.Stop();
logger.LogToImplementation($"Finished calculating {implementationName} of {EngineName} in {elapsed}ms.", EngineName, implementationName);
var output = new Output();
output.WriteMatrixToCsv(sumDoubles, $"{implementationName}{EngineName}");
}
private void ButtonStartCalculation_OnClick(object sender, RoutedEventArgs e)
{
if (queryVectorsList != null && datasetVectorsList != null)
{
StartCalculator();
}
else
{
var randomizer = new Randomizer();
if (queryVectorsList == null)
{
if (datasetVectorsList != null)
{
logger.LogToProgram("No query csv file was inputed, generating random with dataset csv's length and count.");
queryVectorsList = randomizer.GenerateVectorsModel(datasetVectorsList.VectorsLength, datasetVectorsList.VectorsCount);
}
else
{
logger.LogToProgram("No query csv file was inputed, generating random with default length and count");
queryVectorsList = randomizer.GenerateVectorsModel(20, 20); //temporary small
}
}
if (datasetVectorsList == null)
{
if (queryVectorsList != null)
{
logger.LogToProgram("No dataset csv file was inputed, generating random with query csv's length and count.");
datasetVectorsList = randomizer.GenerateVectorsModel(queryVectorsList.VectorsLength, queryVectorsList.VectorsCount);
}
else
{
logger.LogToProgram("No dataset csv file was inputed, generating random with default length and count");
datasetVectorsList = randomizer.GenerateVectorsModel(20, 20); //temporary small
}
}
StartCalculator();
}
}
public VectorsListModel ReadfromCsv(string filePath)
{
var vectorsList = new VectorsListModel()
{
Vectors = new List <VectorModel>()
};
using (TextReader fileReader = File.OpenText(filePath))
{
var csv = new CsvReader(fileReader);
csv.Configuration.HasHeaderRecord = false;
var records = csv.GetRecords <VectorModel>(); //try to write every row into variable of VactorModel type
foreach (var record in records)
{
vectorsList.Vectors.Add(record);
}
vectorsList.VectorsCount = vectorsList.Vectors.Count;
vectorsList.VectorsLength = vectorsList.Vectors.First().Coordinates.Count;
}
return(vectorsList);
}
