/// <summary>
/// Copy an XML object, no need to know what it contains, just
/// copy it. This way we will not damage unknown objects during
/// a merge.
/// </summary>
/// <param name="xmlOut">The XML writer.</param>
/// <param name="replace"></param>
private void CopyXML(WriteXML xmlOut,
IDictionary <String, String> replace)
{
StringBuilder text = new StringBuilder();
int depth = 0;
int ch;
CopyAttributes(xmlOut, replace);
String contain = this.xmlIn.LastTag.Name;
xmlOut.BeginTag(contain);
while ((ch = this.xmlIn.Read()) != -1)
{
Tag.Type type = this.xmlIn.LastTag.TagType;
if (ch == 0)
{
if (type == Tag.Type.BEGIN)
{
if (text.Length > 0)
{
xmlOut.AddText(text.ToString());
text.Length = 0;
}
CopyAttributes(xmlOut, null);
xmlOut.BeginTag(this.xmlIn.LastTag.Name);
depth++;
}
else if (type == Tag.Type.END)
{
if (text.Length > 0)
{
xmlOut.AddText(text.ToString());
text.Length = 0;
}
if (depth == 0)
{
break;
}
else
{
xmlOut.EndTag(xmlIn.LastTag.Name);
}
depth--;
}
}
else
{
text.Append((char)ch);
}
}
xmlOut.EndTag(contain);
}
/// <summary>
/// Save the specified matrix.
/// </summary>
/// <param name="matrix">The matrix to save.</param>
/// <param name="xmlOut">The XML writer.</param>
public static void SaveMatrix(Matrix matrix, WriteXML xmlOut)
{
xmlOut.AddAttribute(PersistorUtil.ATTRIBUTE_MATRIX_ROWS, ""
+ matrix.Rows);
xmlOut.AddAttribute(PersistorUtil.ATTRIBUTE_MATRIX_COLS, ""
+ matrix.Cols);
xmlOut.BeginTag("Matrix");
CSVFormat format = CSVFormat.EG_FORMAT;
for (int row = 0; row < matrix.Rows; row++)
{
StringBuilder builder = new StringBuilder();
for (int col = 0; col < matrix.Cols; col++)
{
if (col > 0)
{
builder.Append(',');
}
double d = matrix[row, col];
builder.Append(format.Format(d, 20));
}
xmlOut.BeginTag(PersistorUtil.ROW);
xmlOut.AddText(builder.ToString());
xmlOut.EndTag();
}
xmlOut.EndTag();
}
/// <summary>
/// Save the neural logic object.
/// </summary>
/// <param name="xmlOut">The XML object.</param>
private void SaveLogic(WriteXML xmlOut)
{
xmlOut.BeginTag(BasicNetworkPersistor.TAG_LOGIC);
INeuralLogic logic = this.currentNetwork.Logic;
if (logic is FeedforwardLogic ||
logic is SimpleRecurrentLogic ||
logic is BoltzmannLogic ||
logic is ART1Logic || logic is BAMLogic ||
logic is HopfieldLogic)
{
xmlOut.AddText(logic.GetType().Name);
}
else
{
xmlOut.AddText(logic.GetType().Name);
}
xmlOut.EndTag();
}
/// <summary>
/// Save items.
/// </summary>
/// <param name="xmlout">The XML output object.</param>
public void SaveItems(WriteXML xmlout)
{
foreach (String key in this.current.Contents.Keys)
{
xmlout.AddAttribute(TrainingContinuationPersistor.ATTRIBUTE_NAME, key);
xmlout.BeginTag(TrainingContinuationPersistor.TAG_ITEM);
double[] value = (double[])this.current[key];
StringBuilder result = new StringBuilder();
NumberList.ToList(CSVFormat.EG_FORMAT, result, value);
xmlout.AddText(result.ToString());
xmlout.EndTag();
}
}
/// <summary>
/// Save the neural properties.
/// </summary>
/// <param name="xmlOut">The xml object.</param>
private void SaveProperties(WriteXML xmlOut)
{
// save any properties
xmlOut.BeginTag(BasicNetworkPersistor.TAG_PROPERTIES);
foreach (String key in this.currentNetwork.Properties.Keys)
{
String value = this.currentNetwork.Properties[key];
xmlOut.AddAttribute(BasicNetworkPersistor.ATTRIBUTE_NAME, key);
xmlOut.BeginTag(BasicNetworkPersistor.TAG_PROPERTY);
xmlOut.AddText(value.ToString());
xmlOut.EndTag();
}
xmlOut.EndTag();
}
