public void PlaceDeposit(BankAccount account, decimal _transaction_amt)
{
if (_transaction_amt <= 0)
{
_msgPrinter.PrintMessage("Amount needs to be more than zero. Try again.", false);
}
else if (_transaction_amt % 10 != 0)
{
_msgPrinter.PrintMessage($"Key in the deposit amount only with multiply of 10. Try again.", false);
}
else if (!PreviewBankNotesCount(_transaction_amt))
{
_msgPrinter.PrintMessage($"You have cancelled your action.", false);
}
else
{
// Bind transaction_amt to Transaction object
// Add transaction record - Start
var transaction = new Transaction()
{
AccountID = account.Id,
BankAccountNoTo = account.AccountNumber,
TransactionType = TransactionType.Deposit,
TransactionAmount = _transaction_amt,
TransactionDate = DateTime.Now
};
_repoTransaction.InsertTransaction(transaction);
// Add transaction record - End
account.Balance = account.Balance + _transaction_amt;
//ctx.SaveChanges();
//_msgPrinter.PrintMessage($"You have successfully deposited {Utility.FormatAmount(_transaction_amt)}", true);
}
}
/// <summary>
/// Evaluate how good (or bad) training went on test data
/// </summary>
protected virtual void EvaluateModel(ITrainingDatasetDefinition datasetDefinition,
string persistedTrainingModelPath,
int howManySamplesToUseFromTestDataset)
{
using (var evaluationMinibatchSourceModel = MinibatchSource.TextFormatMinibatchSource
(TrainingDataset.TestingDatasetPath, GetStreamConfigFrom(datasetDefinition), MinibatchSource.FullDataSweep))
{
Function model = Function.Load(persistedTrainingModelPath, Device);
var imageInput = model.Arguments[0];
var labelOutput = model.Outputs.Single(o => o.Name == ClassifierName);
var featureStreamInfo = evaluationMinibatchSourceModel.StreamInfo(FeatureStreamName);
var labelStreamInfo = evaluationMinibatchSourceModel.StreamInfo(LabelsStreamName);
int batchSize = 50;
int miscountTotal = 0, totalCount = 0;
while (true)
{
var minibatchData = evaluationMinibatchSourceModel.GetNextMinibatch((uint)batchSize, Device);
if (minibatchData == null || minibatchData.Count == 0)
{
break;
}
totalCount += (int)minibatchData[featureStreamInfo].numberOfSamples;
// expected lables are in the minibatch data.
var labelData = minibatchData[labelStreamInfo].data.GetDenseData <float>(labelOutput);
var expectedLabels = labelData.Select(l => l.IndexOf(l.Max())).ToList();
var inputDataMap = new Dictionary <Variable, Value>()
{
{ imageInput, minibatchData[featureStreamInfo].data }
};
var outputDataMap = new Dictionary <Variable, Value>()
{
{ labelOutput, null }
};
model.Evaluate(inputDataMap, outputDataMap, Device);
var outputData = outputDataMap[labelOutput].GetDenseData <float>(labelOutput);
var actualLabels = outputData.Select(l => l.IndexOf(l.Max())).ToList();
int misMatches = actualLabels.Zip(expectedLabels, (a, b) => a.Equals(b) ? 0 : 1).Sum();
miscountTotal += misMatches;
MessagePrinter.PrintMessage($"Validating Model: Total Samples = {totalCount}, Misclassify Count = {miscountTotal}");
if (totalCount > howManySamplesToUseFromTestDataset)
{
break;
}
}
float errorRate = 1.0F * miscountTotal / totalCount;
MessagePrinter.PrintMessage($"Model Validation Error = {errorRate}");
}
}
public bool SayHello()
{
if (_printer != null)
{
return(_printer.PrintMessage());
}
return(false);
}
public void MessageReceived(object model, BasicDeliverEventArgs eventArgs)
{
try
{
var messageBytes = eventArgs.Body;
var message = Encoding.UTF8.GetString(messageBytes);
_logger.LogDebug($"Received: \"{message}\" on channel: {eventArgs.RoutingKey}");
_messagePrinter.PrintMessage(message);
}
catch (Exception ex)
{
_logger.LogError(ex, "Exception in MessageReceived");
throw;
}
}
public void RemoveComponentIfAllowed(string component, IMessagePrinter printer)
{
if (!HasBeenExtracted())
{
ExtractAndLock();
}
printer.PrintHeading($"Running install-wim-tweak to remove {component}...");
int exitCode = SystemUtils.RunProcessBlockingWithOutput(extractedFilePath, $"/o /c {component} /r", printer);
if (exitCode == SystemUtils.EXIT_CODE_SUCCESS)
{
printer.PrintMessage("Install-wim-tweak executed successfully!");
}
else
{
printer.PrintError($"An error occurred during the removal of {component}: " +
"install-wim-tweak exited with a non-zero status.");
}
}
public static int RunProcessBlockingWithOutput(string name, string args, IMessagePrinter printer)
{
using var process = CreateProcessInstance(name, args);
process.OutputDataReceived += (_, evt) => {
if (!string.IsNullOrEmpty(evt.Data))
{
printer.PrintMessage(evt.Data);
}
};
process.ErrorDataReceived += (_, evt) => {
if (!string.IsNullOrEmpty(evt.Data))
{
printer.PrintError(evt.Data);
}
};
process.Start();
process.BeginOutputReadLine();
process.BeginErrorReadLine();
process.WaitForExit();
return(process.ExitCode);
}
