public SenderTests()
{
CsvFileReader csvReader = new CsvFileReader();
List <string> dataList = csvReader.DataList;
DataSplitter splittedData = new DataSplitter(dataList);
DateList = splittedData.DateList;
TimeList = splittedData.TimeList;
}
private List <RowElement> SplitData(DataTable data, FormData formData)
{
var dataSplitter = new DataSplitter(data,
formData.ItemsInRow,
formData.ColumnNumber,
formData.ColumnName);
dataSplitter.SplitData();
return(dataSplitter.ListOfRows);
}
private void InitFile(string filePath)
{
var ds = new DataSplitter();
var data = ds.ReadFile(filePath);
this.pager = new BitmapPager(data, this.pageSize, this.scrollSize);
var bm = pager.GetCurrent();
this.DisplayBitmap(bm);
this.Prev.IsEnabled = false;
this.Next.IsEnabled = true;
}
public void Setup()
{
//Make a fake Transponder Data Receiver
_fakeTransponderReceiver = Substitute.For <ITransponderReceiver>();
//Inject the fake
_uut = new DataSplitter(_fakeTransponderReceiver);
receivedArgs = null;
NumberOfEvents = 0;
_uut.DataReceivedEvent += (s, a) =>
{
receivedArgs = a;
NumberOfEvents++;
};
}
private static void RunTaxiTripsInnerProduct(Random random)
{
// NYC Coords
// Big Square
const double minLat = 40.49;
const double maxLat = 40.91;
const double minLong = -74.26;
const double maxLong = -73.66;
// Small Square
/*const double minLat = 40.623;
* const double maxLat = 40.846;
* const double minLong = -74.04;
* const double maxLong = -73.74;*/
var nycCityRegion = new CityRegion(minLat, maxLat, minLong, maxLong);
//var sqrtNumOfNodes = 5;
//var sqrtVectorLength = 10;
var hoursInWindow = 24;
var iterations = 750;
var tipSplitter = new DataSplitter <TaxiTripEntry>(entry => entry.Tip > 0, "Tip");
var vendorSplitter = new DataSplitter <TaxiTripEntry>(entry => entry.TaxiVendor == TaxiVendor.CMT, "Vendor");
var paymentSplitter = new DataSplitter <TaxiTripEntry>(entry => entry.PaymentType == PaymentType.Cash, "PaymentType");
var passengersSplitter = new DataSplitter <TaxiTripEntry>(entry => entry.NumOfPassangers > 1, "Passengers");
var splitters = ArrayUtils.Init(tipSplitter, vendorSplitter, paymentSplitter, passengersSplitter);
var approximation = new MultiplicativeUpperLowerApproximation(0.7, 1.3);
var chosenSplitter = vendorSplitter;
foreach (var sqrtVectorLength in ArrayUtils.Init(101))
{
// foreach (var sqrtVectorLength in ArrayUtils.Init(35, 61, 86, 100, 111, 122, 132, 141, 158, 173, 187, 200, 212, 223))
//foreach (var sqrtNumOfNodes in ArrayUtils.Init(6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20))
foreach (var sqrtNumOfNodes in ArrayUtils.Init(8))
{
InnerProductRunner.RunTaxiTrips(random, iterations, sqrtNumOfNodes, hoursInWindow, approximation,
sqrtVectorLength, chosenSplitter, nycCityRegion, taxiBinDataPath, resultDir);
}
}
}
private List <LineSegment> GetCuttingSegments()
{
double startLen = 0;
double startSpeed = 0;
double stopLen = 0;
double stopSpeed = 0;
double normalSpeed = this.layerPara.CutSpeed;
if (this.layerPara.IsSlowStart)
{
startSpeed = this.layerPara.SlowStartSpeed;
if (startSpeed > 0)
{
startLen = this.layerPara.SlowStartDistance;
}
}
if (this.layerPara.IsSlowStop)
{
stopSpeed = this.layerPara.SlowStopSpeed;
if (stopSpeed > 0)
{
stopLen = this.layerPara.SlowStopDistance;
}
}
var items = base.GetDataCollection();
var segments = new List <LineSegment>();
var spiltter = new DataSplitter(items, startLen, stopLen);
double accelebration = GlobalModel.Params.LayerConfig.ProcessAcceleratedSpeed;
if (spiltter.IsValid)
{
var part1 = spiltter.GetStartData();
if (part1.Any())
{
var tmp = MovementUtil.GetLineSegments(part1, startSpeed, accelebration);
if (tmp.Any())
{
segments.AddRange(tmp);
}
}
var part2 = spiltter.GetMiddleData();
if (part2.Any())
{
segments.AddRange(MovementUtil.GetLineSegments(part2, normalSpeed, accelebration));
}
var part3 = spiltter.GetEndData();
if (part3.Any())
{
var tmp = MovementUtil.GetLineSegments(part3, stopSpeed, accelebration);
if (tmp.Any())
{
segments.AddRange(tmp);
}
}
}
else
{
segments.AddRange(MovementUtil.GetLineSegments(items, normalSpeed, accelebration));
}
return(segments);
}
public static void RunTaxiTrips(Random random, int iterations, int sqrtNumOfNodes, int hoursInWindow, ApproximationType approximation, int sqrtVectorLength, DataSplitter <TaxiTripEntry> splitter, CityRegion cityRegion, string taxiBinDataPath, string resultDir)
{
var vectorLength = 2 * sqrtVectorLength * sqrtVectorLength;
var numOfNodes = sqrtNumOfNodes * sqrtNumOfNodes;
var resultPath =
PathBuilder.Create(resultDir, "InnerProduct")
.AddProperty("Dataset", "TaxiTrips")
.AddProperty("Nodes", numOfNodes.ToString())
.AddProperty("VectorLength", vectorLength.ToString())
.AddProperty("Window", hoursInWindow.ToString())
.AddProperty("Iterations", iterations.ToString())
.AddProperty("Approximation", approximation.AsString())
.AddProperty("DataSplit", splitter.Name)
.ToPath("csv");
using (var resultCsvFile = AutoFlushedTextFile.Create(resultPath, AccumaltedResult.Header(numOfNodes)))
using (var binaryReader = new BinaryReader(File.OpenRead(taxiBinDataPath)))
{
var innerProductFunction = new InnerProductFunction(vectorLength);
var taxiTrips = TaxiTripEntry.FromBinary(binaryReader);
var windowManager = TaxiTripsWindowManger.Init(hoursInWindow, sqrtNumOfNodes, sqrtVectorLength, splitter, cityRegion, taxiTrips);
var initVectors = windowManager.GetCurrentVectors();
var multiRunner = MultiRunner.InitAll(initVectors, numOfNodes, vectorLength, approximation, innerProductFunction.MonitoredFunction);
for (int i = 0; i < iterations; i++)
{
if (!windowManager.TakeStep())
{
break;
}
var changeVectors = windowManager.GetChangeVector();
multiRunner.Run(changeVectors, random, false)
.Select(r => r.AsCsvString())
.ForEach(resultCsvFile.WriteLine);
}
}
}
