public static SerializableDictionary<string, SerializableDictionary<string, double>> GenerateWeights(List<string> states, SIMDIST weightFlag)
{
SerializableDictionary<string, SerializableDictionary<string, double>> weights = new SerializableDictionary<string, SerializableDictionary<string, double>>();
if (weightFlag == SIMDIST.SIMILARITY)
{
foreach (var item in states)
{
weights.Add(item, new SerializableDictionary<string, double>());
weights[item].Add(item, 1.0);
}
}
else
foreach (var item in states)
{
weights.Add(item, new SerializableDictionary<string, double>());
foreach (var item1 in states)
{
if (item != item1)
weights[item].Add(item1, 1.0);
}
}
return weights;
}
public static ProfileTree AnalyseProfileFile(string fileName, SIMDIST similarityFlag)
{
ProfileTree t = new ProfileTree();
StreamReader wr;
if (fileName == null || !File.Exists(fileName))
throw new Exception("File:" + fileName + " not exists");
wr = new StreamReader(fileName);
string line = wr.ReadLine();
Dictionary<string, Dictionary<string, int>> dic = new Dictionary<string, Dictionary<string, int>>();
while (line != null)
{
if (line.Contains(">"))
{
line = wr.ReadLine();
while (line != null && line[0] != '>')
{
if (line.Contains("profile") && !line.Contains("SEQ"))
{
string[] tmp = line.Split(new string[] { " profile " }, StringSplitOptions.None);
if (!dic.ContainsKey(tmp[0]))
dic.Add(tmp[0], new Dictionary<string, int>());
string[] aux;
if (tmp[1].Contains(" "))
aux = tmp[1].Split(' ');
else
{
aux = new string[tmp[1].Length];
for (int i = 0; i < tmp[1].Length; i++)
aux[i] = tmp[1][i].ToString();
}
foreach (var item in aux)
if (item != "-" && item!="")
if (!dic[tmp[0]].ContainsKey(item))
dic[tmp[0]].Add(item, 0);
}
line = wr.ReadLine();
}
}
else
line = wr.ReadLine();
}
wr.Close();
if (dic.Keys.Count == 0)
throw new Exception("File " + fileName + " is not valid Profile file!");
foreach (var item in dic)
{
profileNode node = new profileNode();
node.active = true;
node.internalName = "User defined profile";
node.profName = item.Key;
foreach (var itemK in item.Value)
node.AddStateItem(itemK.Key, itemK.Key);
node.profWeights = GenerateWeights(new List<string>(item.Value.Keys), similarityFlag);
t.AdddNode("/", node);
}
// t.pr
return t;
}
public static ProfileTree AnalyseProfileFile(string fileName, SIMDIST similarityFlag, string internalName = null)
{
ProfileTree t = new ProfileTree();
StreamReader wr;
if (fileName == null || !File.Exists(fileName))
{
throw new Exception("File:" + fileName + " not exists");
}
wr = new StreamReader(fileName);
string line = wr.ReadLine();
Dictionary <string, Dictionary <string, int> > dic = new Dictionary <string, Dictionary <string, int> >();
while (line != null)
{
if (line.Contains(">"))
{
line = wr.ReadLine();
while (line != null && line[0] != '>')
{
if (line.Contains("profile") && !line.Contains("SEQ"))
{
string[] tmp = line.Split(new string[] { " profile " }, StringSplitOptions.None);
if (!dic.ContainsKey(tmp[0]))
{
dic.Add(tmp[0], new Dictionary <string, int>());
}
string[] aux;
if (tmp[1].Contains(" "))
{
aux = tmp[1].Split(' ');
}
else
{
aux = new string[tmp[1].Length];
for (int i = 0; i < tmp[1].Length; i++)
{
aux[i] = tmp[1][i].ToString();
}
}
foreach (var item in aux)
{
if (item != "-" && item != "")
{
if (!dic[tmp[0]].ContainsKey(item))
{
dic[tmp[0]].Add(item, 0);
}
}
}
}
line = wr.ReadLine();
}
}
else
{
line = wr.ReadLine();
}
}
wr.Close();
if (dic.Keys.Count == 0)
{
throw new Exception("File " + fileName + " is not valid Profile file!");
}
foreach (var item in dic)
{
profileNode node = new profileNode();
node.active = true;
if (internalName != null)
{
node.internalName = internalName;
}
else
{
node.internalName = "User defined profile";
}
node.profName = item.Key;
foreach (var itemK in item.Value)
{
node.AddStateItem(itemK.Key, itemK.Key);
}
node.profWeights = GenerateWeights(new List <string>(item.Value.Keys), similarityFlag);
t.AdddNode("/", node);
}
// t.pr
return(t);
}
public static SerializableDictionary <string, SerializableDictionary <string, double> > GenerateWeights(List <string> states, SIMDIST weightFlag)
{
SerializableDictionary <string, SerializableDictionary <string, double> > weights = new SerializableDictionary <string, SerializableDictionary <string, double> >();
if (weightFlag == SIMDIST.SIMILARITY)
{
foreach (var item in states)
{
weights.Add(item, new SerializableDictionary <string, double>());
weights[item].Add(item, 1.0);
}
}
else
{
foreach (var item in states)
{
weights.Add(item, new SerializableDictionary <string, double>());
foreach (var item1 in states)
{
if (item != item1)
{
weights[item].Add(item1, 1.0);
}
}
}
}
return(weights);
}
