internal static async Task <string> SaveClientDataAsync(ClientData clientData)
{
var result = "Done:)";
try
{
var data = JsonConvert.SerializeObject(clientData);
var current = await DataGetter.GetClientData();
if (current.ClientId.Equals("") && current.ClientSecret.Equals("") &&
current.Login.Equals("") && current.Password.Equals(""))
{
using (var file = File.CreateText(DataGetter.ClientDataPath))
{
await file.WriteAsync(data);
}
}
else
{
result = "Data is not empty!";
}
}
catch (Exception ex)
{
return($"Error: {ex.Message}! {ex.StackTrace}");
}
return(result);
}
public FlareTable
(
DataGetter dataGetter,
ValueGetter?valueGetter = null,
bool regexMode = false,
int pageSize = 25,
bool monospace = false,
bool fixedLayout = false,
RowColorGetter?rowColorGetter = null,
bool clickable = false
)
{
_dataGetter = dataGetter;
_valueGetter = valueGetter ?? ReflectionValueGetter;
_usingReflectionValueGetter = valueGetter == null;
RegexMode = regexMode;
CurrentPage = 0;
PageSize = pageSize;
_initialPageSize = pageSize;
_monospace = monospace;
_fixedLayout = fixedLayout;
_rowColorGetter = rowColorGetter;
_clickable = clickable;
Complete = true;
RegisterEvents();
}
private static void AddData(EnumType.DataType dataType, string[] data)
{
switch (dataType)
{
case EnumType.DataType.data_unit:
{
var dataUnit = new DataUnit();
dataUnit.Init(data);
DataGetter.AddGameData(EnumType.DataType.data_unit, dataUnit);
}
break;
case EnumType.DataType.data_equip:
{
var dataEquip = new DataEquip();
dataEquip.Init(data);
DataGetter.AddGameData(EnumType.DataType.data_equip, dataEquip);
}
break;
case EnumType.DataType.data_material:
{
var dataMaterial = new Data.DataMaterial();
dataMaterial.Init(data);
DataGetter.AddGameData(EnumType.DataType.data_material, dataMaterial);
}
break;
}
}
private void InitEquips()
{
var dataEquips = DataGetter.GetItems(DataType.data_equip);
if (_goodsInstanceCategory.ContainsKey(ItemType.Equip) == false)
{
_goodsInstanceCategory.Add(ItemType.Equip, new List <IItemInstance>());
}
//TODO: 임의값을 넣기위해 랜덤으로,기본적으로는 서버에서 받는 값을 넣습니다.
Random r = new Random();
foreach (var data in dataEquips)
{
var dataEquip = data.Value as DataEquip;
if (_equipInstance.ContainsKey(dataEquip.ClassId))
{
continue;
}
var equipInstance = new EquipInstance(dataEquip, r.Next(0, 100), r.Next(0, 2) == 0);
_equipInstance.Add(dataEquip.ClassId, equipInstance);
_goodsInstanceCategory[ItemType.Equip].Add(equipInstance);
}
}
private void InitMaterial()
{
var dataMaterials = DataGetter.GetItems(DataType.data_material);
if (_goodsInstanceCategory.ContainsKey(ItemType.Material) == false)
{
_goodsInstanceCategory.Add(ItemType.Material, new List <IItemInstance>());
}
//TODO: 임의값을 넣기위해 랜덤으로,기본적으로는 서버에서 받는 값을 넣습니다.
Random r = new Random();
foreach (var data in dataMaterials)
{
var dataMaterial = data.Value as DataMaterial;
if (_materialInstnace.ContainsKey(dataMaterial.MaterialType))
{
continue;
}
var materialInstance = new MaterialInstance(dataMaterial, r.Next(0, 100));
_materialInstnace.Add(dataMaterial.MaterialType, materialInstance);
_goodsInstanceCategory[ItemType.Material].Add(materialInstance);
}
}
public static string[][] GetData()
{
var accessToken = AADAuthHelper.EnsureValidAccessToken(HttpContext.Current);
// Replace the value with your SAP OData endpoint stem and OData query parameters.
return(DataGetter.GetDataMatrix("https://stem_of_SAP_OData_endpoint/some_data_collection?$top=5&$skip=1", accessToken));
}
private async void ButtonSearch_Click(object sender, EventArgs e)
{
bool found = false;
foreach (var item in DataGetter.GetData())
{
if (textBoxSearchCountry.Text == item.Name)
{
textBoxCountryNameResult.Text = item.Name;
textBoxCapital.Text = item.Capital;
textBoxAlpha3Code.Text = item.Alpha3Code;
textBoxArea.Text = item.Area.ToString();
textBoxPopulation.Text = item.Population.ToString();
textBoxRegion.Text = item.Region;
found = true;
break;
}
}
if (found == false)
{
MessageBox.Show("Страна не была найдена");
}
else
if (MessageBox.Show("Сохранить в базу данных информацию?", "Страна найдена", MessageBoxButtons.YesNo) == DialogResult.Yes)
{
await highLvlSQL.SaveDataInDB(textBoxCountryNameResult.Text, textBoxAlpha3Code.Text, textBoxCapital.Text,
textBoxArea.Text, textBoxPopulation.Text, textBoxRegion.Text); //сохранение найденных полей в базу данных
dataGridView1.Rows.Clear();
dataGridView1.Refresh();
FillDataGrid();
}
}
public static void PostDecision(string taskId, string decisionKey, string comments)
{
var accessToken = AADAuthHelper.EnsureValidAccessToken(HttpContext.Current);
DataGetter.PostJsonString("http://gwmblr.cloudapp.net:8080/TestAppForOffice/sap/opu/odata/iwpgw/TASKPROCESSING;v=0002/Decision?InstanceID='" + taskId + "'&DecisionKey='" + decisionKey + "'&Comments='" + comments + "'", accessToken);
return;
}
public static ResponseToClient RequestTaskDetails(string id, string coll)
{
ResponseToClient responseToClient = new ResponseToClient();
string[] dataList;
bool hasOrigin = bool.Parse(ConfigurationManager.AppSettings["HasMultipleSapOrigin"].ToString());
RootObject customAttributes;
// The resource URL for NetWeaver Gateway
string resourceUrl = GetResourceUrl("base", id, hasOrigin, coll);
string descriptionUrl = GetResourceUrl("description", id, hasOrigin, coll);
// The specific resource and options we need.
string urlOptions = "?$format=json";
resourceUrl = resourceUrl + urlOptions;
try
{
dataList = DataGetter.GetDataMatrix(resourceUrl);
string ldUrl = GetResourceUrl("custom", id, hasOrigin, coll);//CustomAttributeCollection
customAttributes = DataGetter.GetCustomAttributes(ldUrl);
responseToClient.response = new string[dataList.Length + 4];
Array.Copy(dataList, 0, responseToClient.response, 0, dataList.Length);
//gets description of the application
var description = DataGetter.GetDescription(descriptionUrl);
responseToClient.response[6] = description;
if (dataList[5] == ConfigurationManager.AppSettings["GatewayRequestType"] && customAttributes != null)
{
var startObj = customAttributes.results.FirstOrDefault(x => x.Name == "/SWL/ALL/DYNCOL2");
string startDate = string.Format("{2}-{1}-{0}", startObj.Value.Substring(6, 2), startObj.Value.Substring(4, 2), startObj.Value.Substring(0, 4));
DateTime sd = new DateTime();
DateTime ed = new DateTime();
DateTime.TryParseExact(startDate, "yyyy-MM-dd", new CultureInfo("en-US"),
DateTimeStyles.None, out sd);
var endObj = customAttributes.results.FirstOrDefault(x => x.Name == "/SWL/ALL/DYNCOL3");
string endDate = string.Format("{2}-{1}-{0}", endObj.Value.Substring(6, 2), endObj.Value.Substring(4, 2), endObj.Value.Substring(0, 4));
DateTime.TryParseExact(endDate, "yyyy-MM-dd", new CultureInfo("en-US"),
DateTimeStyles.None, out ed);
var lduration = ed.Subtract(sd);
string dayText = lduration.Days > 1 ? "Days" : "Day";
string leaveDuration = lduration.Days.ToString() + " " + dayText;
responseToClient.response[7] = ReverseDate(startDate);
responseToClient.response[8] = ReverseDate(endDate);
responseToClient.response[9] = leaveDuration;
}
responseToClient.statusMsg = "OK";
}
catch (WebException ex)
{
HttpWebResponse res = (HttpWebResponse)ex.Response;
int statusCode = (int)res.StatusCode;
responseToClient.statusCode = statusCode;
responseToClient.statusMsg = "Exception";
responseToClient.response = new string[1];
responseToClient.response[0] = ex.Message;
}
return(responseToClient);
}
public static string[][] GetDecisionOptions(string taskId)
{
var accessToken = AADAuthHelper.EnsureValidAccessToken(HttpContext.Current);
var decisionList = DataGetter.GetDecisionOptions("http://gwmblr.cloudapp.net:8080/TestAppForOffice/sap/opu/odata/iwpgw/TASKPROCESSING;v=0002/DecisionOptions?InstanceID='" + taskId + "'", accessToken);
return(decisionList);
}
public static string GetDescription(string taskId)
{
var accessToken = AADAuthHelper.EnsureValidAccessToken(HttpContext.Current);
var description = DataGetter.GetDescription("http://gwmblr.cloudapp.net:8080/TestAppForOffice/sap/opu/odata/iwpgw/TASKPROCESSING;v=0002/TaskCollection('" + taskId + "')/Description", accessToken);
return(description);
}
public ProductsController(ILogger <ProductsController> logger)
{
dbGet = new DataGetter();
dbEdit = new DateEditor();
_logger = logger;
}
private void InitUnits()
{
var dataUnits = DataGetter.GetItems(DataType.data_unit);
if (_goodsInstanceCategory.ContainsKey(ItemType.Unit) == false)
{
_goodsInstanceCategory.Add(ItemType.Unit, new List <IItemInstance>());
}
//TODO: 임의값을 넣기위해 랜덤으로,기본적으로는 서버에서 받는 값을 넣습니다.
Random r = new Random();
foreach (var data in dataUnits)
{
var dataUnit = data.Value as DataUnit;
if (_unitInstances.ContainsKey(dataUnit.ClassId))
{
continue;
}
var unitInstance = new UnitInstance(dataUnit, r.Next(0, 100), r.Next(0, 2) == 0);
_unitInstances.Add(dataUnit.ClassId, unitInstance);
_goodsInstanceCategory[ItemType.Unit].Add(unitInstance);
}
}
private void TrainButton_Click(object sender, RoutedEventArgs e)
{
var learningRate = Double.Parse(LearningRateInput.Text, CultureInfo.InvariantCulture);
var epochs = Int32.Parse(EpochsCount.Text);
var momentum = Double.Parse(MomentumInput.Text, CultureInfo.InvariantCulture);
var minWeight = Double.Parse(MinInitialWeight.Text, CultureInfo.InvariantCulture);
var maxWeight = Double.Parse(MaxInitialWeight.Text, CultureInfo.InvariantCulture);
var trainingPath = TrainingSetPath.Text;
var kMeansEpochs = Int32.Parse(EpochsCount.Text);
bool[] chosenInputs = new bool[] {
Input1Check.IsChecked.Value,
Input2Check.IsChecked.Value,
Input3Check.IsChecked.Value,
Input4Check.IsChecked.Value
};
BackpropagationTrainingParameters parameters;
DataGetter dg = new DataGetter();
var trainingData = new List <TrainingSet>();
var testingData = new List <TrainingSet>();
switch (taskSelected)
{
case TaskSelection.APPROX:
trainingData = dg.GetTrainingDataWithOneOutput(trainingPath, inputCount);
testingData = dg.GetTrainingDataWithOneOutput(TestingSetPath, inputCount);
parameters = new BackpropagationTrainingParameters(learningRate, epochs, momentum, minWeight, maxWeight, trainingData);
Network.Train(parameters, testingData);
ApproximationExample(trainingData, testingData);
break;
case TaskSelection.CLASS:
trainingData = dg.GetTrainingDataWithChosenInputs(trainingPath, chosenInputs);
testingData = dg.GetTrainingDataWithChosenInputs(TestingSetPath, chosenInputs);
testingData = testingData.Select(set => {
set.DesiredOutput = classToVector(set.DesiredOutput.At(0));
return(set);
}).ToList();
trainingData = trainingData.Select(set => {
set.DesiredOutput = classToVector(set.DesiredOutput.At(0));
return(set);
}).ToList();
parameters = new KMeansBackpropagationTrainingParameters(learningRate, epochs, momentum, minWeight, maxWeight, trainingData, kMeansEpochs);
Network.Train(parameters, testingData);
ClassificationExample(trainingData, testingData);
break;
default:
throw new InvalidOperationException("use of nonexistent enum element");
}
}
public void GetAllFixturesWorks(int expectedResult)
{
var dataGetter = new DataGetter();
var teams = dataGetter.GetAllFixtureData();
var actualResult = teams.Count();
Assert.True(expectedResult == actualResult, "Expected to find " + expectedResult + " fixtures, but " + actualResult + " were found.");
}
public void FindTeamByIdWorks(int TeamId, string expectedTeam)
{
// Arrange & Act
var dataGetter = new DataGetter();
var team = dataGetter.GetTeamData(TeamId);
string actualTeam = team.Name;
// Assert
Assert.True(expectedTeam == actualTeam, "Expected team with ID " + TeamId + " to be " + expectedTeam + " but found " + actualTeam + " instead.");
}
//private RequestSocket client;
// Start is called before the first frame update
void Start()
{
_dataGetter = new DataGetter();
// DataGetter.targetPosition = target.transform.position;
_dataGetter.Start();
/*ForceDotNet.Force();
* client = new RequestSocket();
* client.Connect("tcp://*:5555");*/
}
public void FindPlayerSummaryByIdWorks(int PlayerId, string ExpectedName)
{
// Arrange & Act
var dataGetter = new DataGetter();
var Player = dataGetter.GetPlayerSummary(PlayerId);
string ActualName = Player.SecondName;
// Assert
Assert.True(ActualName == ExpectedName, "Expected player with name " + ExpectedName + " but " + ActualName + " was returned.");
}
public void TotalNumberOfTeamsIsCorrect()
{
// Arrange & Act
var dataGetter = new DataGetter();
var teams = dataGetter.GetAllTeamData().ToList();
int expectedCount = 20;
int actualCount = teams.Count();
// Assert
Assert.True(expectedCount == actualCount, "Expected to find " + expectedCount + " teams in the league, but actually found " + actualCount);
}
private void btnGetFromDB_Click(object sender, RoutedEventArgs e)
{
tbDownloaded.Text = string.Empty;
DataGetter getter = new DataGetter();
foreach (var cas in getter.GetCases("US", "Washington", (int)CaseType.Confirmed, new DateTime(2020, 3, 4)))
{
tbDownloaded.Text += $"{cas.CountryName} - {cas.Date} - {cas.NumberOfCases}\n";
}
}
private void SyncThemeAndColor()
{
// synchronizes the selected viewmodel theme with the actual theme used by the appearance manager.
SelectedTheme = Themes.FirstOrDefault(l => l.Source.Equals(AppearanceManager.Current.ThemeSource));
// and make sure accent color is up-to-date
SelectedAccentColor = AppearanceManager.Current.AccentColor;
DataGetter.SaveConfig("R", AppearanceManager.Current.AccentColor.R.ToString());
DataGetter.SaveConfig("A", AppearanceManager.Current.AccentColor.A.ToString());
DataGetter.SaveConfig("G", AppearanceManager.Current.AccentColor.G.ToString());
DataGetter.SaveConfig("B", AppearanceManager.Current.AccentColor.B.ToString());
}
static void Main(string[] args)
{
IEnumerable <string> myList = new DataGetter().GetData();
Console.WriteLine("start Getdata");
foreach (var x in myList)
{
Console.WriteLine(x);
}
Console.WriteLine("end GetData");
Console.ReadLine();
}
public static async Task <GitHubClient> GetClient()
{
var cd = await DataGetter.GetClientData();
var c = new GitHubClient(new ProductHeaderValue("TopRated-Badges-for-GitHub-by-elv1s42"));
if (!cd.Login.Equals("") && !cd.Password.Equals(""))
{
c.Connection.Credentials = new Credentials(cd.Login, cd.Password);
}
return(c);
}
public static ResponseToClient GetTaskDetails(string id, string coll)
{
ResponseToClient responseToClient = new ResponseToClient();
RootObject customAttrs;
try
{
var accessToken = AADAuthHelper.EnsureValidAccessToken(HttpContext.Current);
var dataList = DataGetter.GetDataMatrix(serviceUrl + Collection + "('" + id + "')", accessToken);
var description = DataGetter.GetDescription(serviceUrl + Collection + "('" + id + "')/Description", accessToken);
customAttrs = DataGetter.GetCustomAttributes(serviceUrl + Collection + "('" + id + "')/CustomAttributeData", accessToken);
responseToClient.response = new string[dataList.Length + 4];
Array.Copy(dataList, 0, responseToClient.response, 0, dataList.Length);
responseToClient.response[6] = description;
if (dataList[5] == ConfigurationManager.AppSettings["AzureRequestType"])
{
string startDate = "";
string endDate = "";
string leaveDuration = "";
if (customAttrs != null && customAttrs.results != null && customAttrs.results.Count > 0)
{
var startObj = customAttrs.results.FirstOrDefault(x => x.Name == "/SWL/ALL/DYNCOL2");
startDate = string.Format("{2}-{1}-{0}", startObj.Value.Substring(6, 2), startObj.Value.Substring(4, 2), startObj.Value.Substring(0, 4));
DateTime sd = new DateTime();
DateTime ed = new DateTime();
sd = DateTime.ParseExact(startDate, "yyyy-MM-dd", null);
var endObj = customAttrs.results.FirstOrDefault(x => x.Name == "/SWL/ALL/DYNCOL3");
endDate = string.Format("{2}-{1}-{0}", endObj.Value.Substring(6, 2), endObj.Value.Substring(4, 2), endObj.Value.Substring(0, 4));
ed = DateTime.ParseExact(endDate, "yyyy-MM-dd", null);
var lduration = ed.Subtract(sd);
string dayText = lduration.Days > 1 ? "Days" : "Day";
leaveDuration = lduration.Days.ToString() + " " + dayText;
}
responseToClient.response[7] = startDate;
responseToClient.response[8] = endDate;
responseToClient.response[9] = leaveDuration;
}
responseToClient.statusMsg = "OK";
}
catch (WebException ex)
{
HttpWebResponse res = (HttpWebResponse)ex.Response;
int statusCode = (int)res.StatusCode;
responseToClient.statusCode = statusCode;
responseToClient.statusMsg = "Exception";
responseToClient.response = new string[1];
responseToClient.response[0] = ex.Message;
}
return(responseToClient);
}
void lookup(object sender, EventArgs e)
{
if (CheckNetwork())
{
Trip.Line = dataProvider.GetLineClassFromName(spinnerLine.SelectedItem.ToString());
Trip.From = dataProvider.GetStationClassFromName(spinnerStationFrom.SelectedItem.ToString());
Trip.To = dataProvider.GetStationClassFromName(spinnerStationTo.SelectedItem.ToString());
DataGetter dataGetter = new DataGetter();
RunOnUiThread(delegate {
StartActivity(typeof(TimetableList));
});
}
}
public void Arrange()
{
_expectedResult = new SomeType();
_query = new Mock<IQuery<SomeType>>();
_query.Setup(q => q.Fetch()).Returns(_expectedResult);
_serviceLocator = new Mock<IQueryLocator>();
_serviceLocator
.Setup(l => l.Resolve<SomeType>())
.Returns(_query.Object);
_sut = new DataGetter(_serviceLocator.Object);
Act();
}
private static T Get <T>(DataGetter <T> dataGetter, Func <T> sourceGetter, Action <T> dataSetter)
{
T data;
if (dataGetter(out data))
{
return(data);
}
data = sourceGetter();
if (data != null)
{
dataSetter(data);
}
return(data);
}
public void TotalPlayersReturnedIsCorrect()
{
// Arrange & Act
var dataGetter = new DataGetter();
int lowerExpectedCount = 500;
int upperExpectedCount = 700;
List <PlayerDataSummary> playerList = dataGetter.GetPlayerSummaryAll().ToList();
int actualCount = playerList.Count;
// Assert
Assert.True(
actualCount >= lowerExpectedCount && actualCount <= upperExpectedCount,
"Number of players, " + actualCount + ", is outside the expected limit of: " + lowerExpectedCount + " to " + upperExpectedCount);
}
private void ApproximationScenario(DataGetter dg, List <TrainingElement> data, TrainingParameters td)
{
List <double> errorsAverage = new List <double>(new double[td.Epochs]);
List <double> testerErrorAverage = new List <double>(new double[td.Epochs]);
int iterations = td.Iterat;
Network.Gatherer = new ApproximationGatherer(dg.GetSetOfData(TestPath.Text, Network.InputSize));
for (int j = 0; j < iterations; j++)
{
Network.Train(td.LearningRate, td.Epochs, td.Momentum, data, td.DesiredError);
for (int i = 0; i < Network.Errors.Count; i++)
{
errorsAverage[i] += Network.Errors[i];
testerErrorAverage[i] += ((ApproximationGatherer)Network.Gatherer).TestErrors[i];
}
}
for (int j = 0; j < errorsAverage.Count; j++)
{
errorsAverage[j] /= iterations;
testerErrorAverage[j] /= iterations;
}
IList <DataPoint> points = new List <DataPoint>();
IList <DataPoint> testPoints = new List <DataPoint>();
for (int i = 0; i < Network.Errors.Count; i++)
{
points.Add(new DataPoint(i + 1, errorsAverage[i]));
testPoints.Add(new DataPoint(i + 1, testerErrorAverage[i]));
}
SeriesList.Add(new OxyPlot.Wpf.LineSeries
{
ItemsSource = points,
Title = $"Training error (Learning rate: {td.LearningRate}, momentum: {td.Momentum}, hidden neuron count: {Network.Layers[0].NeuronCount})"
});
SeriesList.Add(new OxyPlot.Wpf.LineSeries
{
ItemsSource = testPoints,
Title = $"Validation Error (Learning rate: {td.LearningRate}, momentum: {td.Momentum}, hidden neuron count: {Network.Layers[0].NeuronCount})"
});
}
public void TotalPlayersReturnedIsCorrect()
{
// Arrange & Act
var dataGetter = new DataGetter();
var playerGetter = new PlayerGetter(dataGetter);
int lowerExpectedCount = 500;
int upperExpectedCount = 700;
IEnumerable <IPlayer> playerList = playerGetter.GetAllPlayers(false);
int actualCount = playerList.Count();
// Assert
Assert.True(
actualCount >= lowerExpectedCount && actualCount <= upperExpectedCount,
"Number of players, " + actualCount + ", is outside the expected limit of: " + lowerExpectedCount + " to " + upperExpectedCount);
}
private static void Main(string[] args)
{
string fileTrain1 = "approximation_train_1.txt";
string fileTrain2 = "approximation_train_2.txt";
string fileTest = "approximation_test.txt";
string filePathTrain1 = Path.GetFullPath(fileTrain1);
string filePathTrain2 = Path.GetFullPath(fileTrain2);
string filePathTest = Path.GetFullPath(fileTest);
List <double> outputValues = new List <double>();
DataGetter dataGetterTrain1 = new DataGetter(filePathTrain1);
DataGetter dataGetterTrain2 = new DataGetter(filePathTrain2);
DataGetter dataGetterTest = new DataGetter(filePathTest);
double learnRate = 0.1;
double momentum = 0.1;
int numberOfRadialNeurons = 20;
int numberOfEpochs = 300;
//Console.WriteLine("SIEC NEURONOWA RBF WYKORZYSTYWANA DO APROKSYMACJI FUNKJI");
//Console.WriteLine("Prosze wprowadzic wartosc wspolczynnika nauki:");
//learnRate = Convert.ToDouble(Console.ReadLine(), System.Globalization.CultureInfo.InvariantCulture);
//Console.WriteLine("Prosze wprowadzic wartosc wspolczynnika momentum:");
//momentum = Convert.ToDouble(Console.ReadLine(), System.Globalization.CultureInfo.InvariantCulture);
NeuralNetwork neuralNetwork = new NeuralNetwork(dataGetterTrain1.getInputData(), learnRate, momentum, numberOfRadialNeurons);
Console.WriteLine("ZBIOR TRENINGOWY 1: ");
neuralNetwork.Train(numberOfEpochs, dataGetterTrain2);
Console.WriteLine("ZBIOR TRENINGOWY 2: ");
neuralNetwork.Train(numberOfEpochs, dataGetterTrain1);
Console.WriteLine("ZBIOR TESTOWY: ");
outputValues = neuralNetwork.Test(dataGetterTest);
GnuPlot.Set("term wxt 0");
GnuPlot.HoldOn();
GnuPlot.Set("xlabel 'X Values'");
GnuPlot.Set("ylabel 'Y Values'");
GnuPlot.Plot(dataGetterTest.getInputData().ToArray(), dataGetterTest.getExpectedData().ToArray(), "title 'funkcja oryginalna'");
GnuPlot.Plot(dataGetterTest.getInputData().ToArray(), outputValues.ToArray(), "title 'funkcja po aproksymacji'");
GnuPlot.HoldOff();
GnuPlot.Set("term wxt 1");
GnuPlot.Set("xlabel 'Numer epoki'");
GnuPlot.Set("ylabel 'Wartosc bledu'");
GnuPlot.Plot(neuralNetwork.ErrorX.ToArray(), neuralNetwork.ErrorY.ToArray(), "with lines title 'Blad aproksymacji'");
Console.ReadKey();
}
public void Test1()
{
DataGetter dg = new DataGetter("000716", DataType.GetValue("总资产利润率"));
String[] d = dg.excute();
Assert.AreEqual(51, d.Length);
}
