private void InsertEstimate(Estimate estimate)
{
var estimates = new Estimates();
estimates.EstimateList.Add(estimate);
_cacheManager.Add(estimate.ProjectId, estimates);
}
private KeyPerformanceIndicator(int franchiseId, Job[] jobs, JobTask[] tasks)
{
FranchiseId = franchiseId;
Jobs = jobs;
Tasks = tasks;
InconsistentRecords = Jobs.Where(j => !Estimates.Any(e => e.Id == j.Id) && !CompletedJobs.Any(c => c.Id == j.Id) && !RecallJobs.Any(r => r.Id == j.Id)).ToArray();
}
internal KeyPerformanceIndicator(int franchiseId, vRpt_Job[] jobs, vRpt_JobDetail[] tasks)
{
FranchiseId = franchiseId;
Jobs = jobs.Select(Job.MapFromModel).ToArray();
Tasks = tasks.Select(JobTask.MapFromModel).ToArray();
InconsistentRecords = Jobs.Where(j => !Estimates.Any(e => e.Id == j.Id) && !CompletedJobs.Any(c => c.Id == j.Id) && !RecallJobs.Any(r => r.Id == j.Id)).ToArray();
}
private void RegisterEstimate(object sender, EstimatedArgs args)
{
if (AllParticipantsHaveEstimated)
throw new CannotEstimateWhenAllEstimatesAreGivenException();
_estimates = _estimates.Register(args.Estimate);
if (AllParticipantsHaveEstimated)
Completed(this, new RoundCompletedArgs(Status));
}
public SearchSaleOrder(UserControlSalesOrder window)
{
InitializeComponent();
dao = new SaleOrders();
dao2 = new Estimates();
dao3 = new Services();
this.window = window;
RefreshGrid();
}
public UserControlSalesOrder()
{
InitializeComponent();
aux = null;
dao = new SaleOrders();
dao2 = new Estimates();
dao3 = new Services();
logs = new Logs();
_employe = new Employe();
_employe.id = MainWindow.currentId;
}
public UserControlEstimate()
{
// Inicializando componentes
InitializeComponent();
// Inicializando path's
imgDirectoryPath = "C:\\ProERP\\Config\\Internal-Data\\";
logoPath = string.Empty;
// Inicializando objetos
aux = null;
dao = new Estimates();
services = new Services();
logs = new Logs();
_employe = new Employe();
_employe.id = MainWindow.currentId;
}
private void Run()
{
List <(double, double)> spoints = Measurements.Select(_ => ((double)(_.Key - odt).TotalSeconds, _.Value)).ToList();
var outgps = gpmm.AddTrainingPoints(spoints.Select(_ => _.Item1).ToArray(), spoints.Select(_ => _.Item2).ToArray());
var xx = outgps.Select(_ => _.mu
.Zip(_.sd95, (a, b) => new { Mu = a, Sigma = b })
.Zip(_.X, (c, d) =>
new Estimate(odt + TimeSpan.FromSeconds(d), c.Mu, c.Sigma)));
Estimates.Clear();
foreach (var __ in xx)
{
foreach (var ___ in __)
{
Estimates.Add(___);
}
}
}
public void Run()
{
var filter = new UKF(1, 1);
n = 1;
q = 0.05;
r = 0.3;
N = 100;
Q = Matrix.Build.Diagonal(n, n, q * q); //covariance of process
NotifyChanged("Q");
R = Matrix.Build.Dense(1, 1, r * r); //covariance of measurement
f = new FEquation(); //nonlinear state equations
h = new HEquation(); //measurement equation
x = q * Matrix.Build.Random(1, 1); //s + q * Matrix.Build.Random(1, 1); //initial state with noise
P = Matrix.Build.Diagonal(n, n, 1); //initial state covariance
var xV = Matrix.Build.Dense(n, N, 0); //Estimate
var zV = Matrix.Build.Dense(1, N, 0); //measurement
for (int k = 1; k < N; k++)
{
Matrix <double> z = ProcessBuilder.SineWave(k, r);
//measurments
Matrix <double>[] x_and_P = filter.Update(f, x, P, h, z, Q, R); //ukf
x = x_and_P[0];
P = x_and_P[1];
Measurements.Add(new Measurement()
{
Value = z[0, 0], Time = TimeSpan.FromSeconds(k)
});
Estimates.Add(new Measurement()
{
Value = x_and_P[0][0, 0], Time = TimeSpan.FromSeconds(k), Variance = x_and_P[1][0, 0]
});
}
}
public override IDistribution Fit(string variableName)
{
/* **** */
orderedExpertNames = new string[Experts.Count()];
int j = 0;
foreach (var e in Experts)
{
orderedExpertNames [j] = e.Name;
j++;
}
/* ---- */
Buildz();
BuildZ();
BuildS();
BuildPr();
/* **** */
var variable = Variables.Single(x => x.Name == variableName);
var bounds = GetBounds(variable);
var min = bounds.Item1;
var max = bounds.Item2;
var xx = Estimates.Get(variable);
// var xx = expertEstimates.SelectMany(t => t);
var xlist = new List <double> (xx);
xlist.Add(min);
xlist.Add(max);
xlist.Sort();
var probabilities = new double[xlist.Count - 1];
for (int i = 0; i < xlist.Count - 1; i++)
{
var v = xlist[i];
probabilities[i] = 1;
var h = 0;
// for getting the correct h, we need to compute it in the opposite
// direction; as h = ((...) * (m + 1) + j ) * (m + 1) + k for [...,j,k]
for (int l = Experts.Count() - 1; l >= 0; l--)
{
var currentExpert = Experts.Single(x => x.Name == orderedExpertNames [l]);
var ll = Estimates [currentExpert, variable].ToList();
// expertEstimates[l].ToList();
var index = ll.FindIndex(y => y > v);
if (index < 0)
{
index = NbQuantiles;
}
h = (h * (NbQuantiles + 1)) + index;
}
probabilities[i] *= Pr[h];
}
var sum = probabilities.Sum();
probabilities = probabilities.Select(t => t / sum).ToArray();
var stops = xlist.ToArray();
var quantiles = new double [probabilities.Length + 1];
quantiles [0] = 0;
int ij;
for (ij = 1; ij < probabilities.Length; ij++)
{
quantiles [ij] = quantiles[ij - 1] + probabilities[ij - 1];
}
quantiles [ij] = 1;
var dist = new QuantileDistribution(quantiles, stops);
return(dist);
}
public void Sample()
{
Estimates.Clear();
gpw.Sample().ForEach(_ => Estimates.Add(_));
}
Estimates estimate; // сылка на объект класса оценок
private void Form1_Load(object sender, EventArgs e)
{
estimate = new Estimates();
gen = new Random(); // генератор случайных чисел
}
public async Task <IActionResult> NewOffer(OfferViewModel model)
{
if (ModelState.IsValid)
{
Users user = UserRepository.FindUserByEmail(User.Identity.Name);
//var customer = wefactconnector.GetCustomerInfo(model.DebtorNumber);
var settingdocument = SettingsRepository.getSpecificSetting("DocumentCode");
int documentcode = int.Parse(settingdocument.Value);
var code = documentcode.ToString("000");
var offerte = new Offers
{
IndexContent = model.IndexContent,
ProjectName = model.ProjectName,
//DebtorNumber = model.DebtorNumber,
CreatedBy = user,
CreatedAt = DateTime.Now,
LastUpdatedAt = DateTime.Now,
UpdatedBy = user,
DocumentCode = "PV" + code,
DocumentVersion = 1
};
await OfferRepository.AddAsync(offerte);
documentcode++;
settingdocument.Value = documentcode.ToString();
await SettingsRepository.SaveChangesAsync();
var est = new Estimates
{
};
await EstimateRepository.AddAsync(est);
foreach (var line in model.EstimateLines)
{
var lin = new EstimateLines
{
HourCost = line.HourCost,
Hours = line.Hours,
Specification = line.Specification,
TotalCost = line.TotalCost
};
var connect = new EstimateConnects
{
Estimate = est,
EstimateLines = lin
};
await EstimateLinesRepository.AddAsync(lin);
await EstimateConnectsRepository.AddAsync(connect);
}
offerte.Estimate = est;
await OfferRepository.UpdateAsync(offerte);
return(Ok());
}
else
{
return(BadRequest(ModelState));
}
}
