public void updateChildren()
{
this.children = new List <ConfigurationOption>();
foreach (ConfigurationOption other in vm.getOptions())
{
if (other.parent != null && other.parent.Equals(this) && !this.children.Contains(other))
{
this.children.Add(other);
}
}
}
/// <summary>
/// This method reads all configurations specified in the .csv file. In this mehtod, we assume that the file has a header.
/// </summary>
/// <param name="file"></param>
/// <param name="model">The variabiliy model for the configurations.</param>
/// <returns>A list of all configurations </returns>
public static List <Configuration> readConfigurations_Header_CSV(String file, VariabilityModel model)
{
List <Configuration> configurations = new List <Configuration>();
StreamReader sr = new StreamReader(file);
String[] optionOrder = new String[model.getOptions().Count];
String[] nfpOrder = null;
bool isHeader = true;
while (!sr.EndOfStream)
{
String[] tokens = sr.ReadLine().Split(';');
if (isHeader)
{
nfpOrder = new String[tokens.Length - optionOrder.Length];
for (int i = 0; i < tokens.Length; i++)
{
String token = tokens[i];
if (i < optionOrder.Length)
{
optionOrder[i] = token;
}
else
{
nfpOrder[i - optionOrder.Length] = token;
if (!GlobalState.nfProperties.ContainsKey(token))
{
GlobalState.nfProperties.Add(token, new NFProperty(token));
}
}
}
isHeader = false;
}
else
{
Dictionary <BinaryOption, BinaryOption.BinaryValue> binOptions = new Dictionary <BinaryOption, BinaryOption.BinaryValue>();
Dictionary <NumericOption, double> numOptions = new Dictionary <NumericOption, double>();
Dictionary <NFProperty, double> properties = new Dictionary <NFProperty, double>();
for (int i = 0; i < tokens.Length; i++)
{
String token = tokens[i];
if (i < optionOrder.Length)
{
ConfigurationOption option = model.getOption(optionOrder[i]);
if (option.GetType() == typeof(BinaryOption))
{
if (token.Equals("true") || token.Equals("1"))
{
binOptions.Add((BinaryOption)option, BinaryOption.BinaryValue.Selected);
}
}
else
{
double value = Convert.ToDouble(token);
numOptions.Add((NumericOption)option, value);
}
}
else
{
NFProperty nfp = GlobalState.nfProperties[nfpOrder[i - optionOrder.Length]];
double value = Convert.ToDouble(token);
properties.Add(nfp, value);
double currentMaxMeasuredValue;
if (GlobalState.allMeasurements.maxMeasuredValue.TryGetValue(nfp, out currentMaxMeasuredValue))
{
if (Math.Abs(value) > Math.Abs(currentMaxMeasuredValue))
{
GlobalState.allMeasurements.maxMeasuredValue[nfp] = value;
}
}
else
{
GlobalState.allMeasurements.maxMeasuredValue.Add(nfp, value);
}
}
}
Configuration config = new Configuration(binOptions, numOptions, properties);
configurations.Add(config);
}
}
sr.Close();
return(configurations);
}
/// <summary>
/// This method reads all configurations specified in the .csv file. In this mehtod, we assume that the file has a header.
/// </summary>
/// <param name="file"></param>
/// <param name="model">The variabiliy model for the configurations.</param>
/// <returns>A list of all configurations </returns>
public static List<Configuration> readConfigurations_Header_CSV(String file, VariabilityModel model)
{
List<Configuration> configurations = new List<Configuration>();
StreamReader sr = new StreamReader(file);
String[] optionOrder = new String[model.getOptions().Count - 1];
String[] nfpOrder = null;
bool isHeader = true;
while(!sr.EndOfStream)
{
String[] tokens = sr.ReadLine().Split(';');
if (isHeader)
{
nfpOrder = new String[tokens.Length - optionOrder.Length];
for (int i = 0; i < tokens.Length; i++)
{
String token = tokens[i];
if (i < optionOrder.Length)
{
optionOrder[i] = token;
}
else
{
nfpOrder[i - optionOrder.Length] = token;
if (!GlobalState.nfProperties.ContainsKey(token))
{
GlobalState.nfProperties.Add(token, new NFProperty(token));
}
}
}
isHeader = false;
}
else
{
Dictionary<BinaryOption, BinaryOption.BinaryValue> binOptions = new Dictionary<BinaryOption, BinaryOption.BinaryValue>();
Dictionary<NumericOption, double> numOptions = new Dictionary<NumericOption, double>();
Dictionary<NFProperty, double> properties = new Dictionary<NFProperty, double>();
for (int i = 0; i < tokens.Length; i++)
{
String token = tokens[i];
if (i < optionOrder.Length)
{
ConfigurationOption option = model.getOption(optionOrder[i]);
if (option.GetType() == typeof(BinaryOption))
{
if (token.Equals("true") || token.Equals("1"))
binOptions.Add((BinaryOption)option, BinaryOption.BinaryValue.Selected);
else
binOptions.Add((BinaryOption)option, BinaryOption.BinaryValue.Deselected);
}
else
{
double value = Convert.ToDouble(token);
numOptions.Add((NumericOption)option, value);
}
}
else
{
NFProperty nfp = GlobalState.nfProperties[nfpOrder[i - optionOrder.Length]];
double value = Convert.ToDouble(token);
properties.Add(nfp, value);
double currentMaxMeasuredValue;
if (GlobalState.allMeasurements.maxMeasuredValue.TryGetValue(nfp, out currentMaxMeasuredValue))
{
if (Math.Abs(value) > Math.Abs(currentMaxMeasuredValue))
{
GlobalState.allMeasurements.maxMeasuredValue[nfp] = value;
}
}
else
{
GlobalState.allMeasurements.maxMeasuredValue.Add(nfp, value);
}
}
}
Configuration config = new Configuration(binOptions, numOptions, properties);
configurations.Add(config);
}
}
sr.Close();
return configurations;
}
