public static TagSet LoadFromStream(TextModelReader sr)
{
string xname = sr.Read();
if (xname != typeof(TagSet).FullName)
{
throw new Exception("model name does not match");
}
int startlvl = sr.NestLevel;
var xver = sr.ReadOptionUInt64("VER");
if (xver != VER)
{
throw new Exception("version number does not match");
}
var ts = new TagSet();
ts.ROOT = sr.ReadOptionString("ROOT");
ts.PTs = CodeBook32.LoadFromStream(sr);
ts.NTs = CodeBook32.LoadFromStream(sr);
xname = sr.Read();
if(xname != typeof(TagSet).FullName || sr.NestLevel != startlvl)
{
throw new Exception("model name does not match");
}
return ts;
}
public static Vocabulary LoadFromStream(TextModelReader sr)
{
var v = new Vocabulary();
int knownWordCount = 0;
int sigCount = 0;
string name = typeof(Vocabulary).FullName;
int startLvl = 0;
string line = sr.Read();
startLvl = sr.NestLevel;
if (line != name)
{
throw new Exception("error in model file!");
}
var xsig = sr.ReadOptionUInt64("SIG");
var xver = sr.ReadOptionUInt64("VER");
if (xsig != SIG || xver != VER)
{
throw new Exception("Signiture or version does not match!");
}
knownWordCount = sr.ReadOptionInt("knownWordCount");
sigCount = sr.ReadOptionInt("sigCount");
v.vocab = CodeBook32.LoadFromStream(sr);
v.signitureVocab = CodeBook32.LoadFromStream(sr);
if (v.vocab.Count != knownWordCount || v.signitureVocab.Count != sigCount)
{
throw new Exception("vocab size does not match");
}
string closeline = sr.Read();
if (sr.NestLevel != startLvl || closeline != name)
{
throw new Exception("model is not closed!");
}
return v;
}
public static LAPCFGrammar LoadFromStream(TextModelReader sr, Vocabulary vocab, TagSet tagSet)
{
var grammar = new LAPCFGrammar();
var name = typeof(LAPCFGrammar).FullName;
sr.Require(name);
sr.Require("VER", VER);
grammar.NTCount = sr.ReadOptionInt("NTCount");
grammar.PTCount = sr.ReadOptionInt("PTCount");
grammar.ROOTID = sr.ReadOptionInt("ROOTID");
sr.Require("TerminalRule");
int lvl = sr.NestLevel;
var truleStrings = new HashSet<string>();
var uruleStrings = new HashSet<string>();
var bruleStrings = new HashSet<string>();
string line = sr.Read();
while (sr.NestLevel > lvl)
{
truleStrings.Add(line);
line = sr.Read();
}
if (line != "UnaryRule")
{
throw new Exception("wrong model!");
}
line = sr.Read();
while (sr.NestLevel > lvl)
{
uruleStrings.Add(line);
line = sr.Read();
}
if (line != "BinaryRule")
{
throw new Exception("wrong model!");
}
line = sr.Read();
while (sr.NestLevel > lvl)
{
bruleStrings.Add(line);
line = sr.Read();
}
string[] parts = line.Split('\t');
if (parts [0] != "TraceCount")
{
throw new Exception("error in model");
}
int subtraceCount = int.Parse(parts [1]);
grammar.subtagTraces = new List<int[][]>();
for (int i = 0; i < subtraceCount; ++i)
{
int tlen = sr.ReadOptionInt("TRACE");
int[][] trace = new int[tlen][];
for (int j = 0; j < tlen; ++j)
{
trace [j] = sr.ReadIntArray();
}
grammar.subtagTraces.Add(trace);
}
if (grammar.subtagTraces.Count == 0)
{
grammar.subTagCounts = new int[grammar.TotalTagCount];
ArrayHelper.Fill(grammar.subTagCounts, 1);
} else
{
var trace = grammar.subtagTraces [grammar.subtagTraces.Count - 1];
grammar.subTagCounts = trace.Select(x => x.Length).ToArray();
}
sr.Require(name);
foreach (var str in uruleStrings)
{
grammar.BuildUnaryRule(str, tagSet);
}
foreach (var str in truleStrings)
{
grammar.BuildTerminalRule(str, vocab, tagSet);
}
foreach (var str in bruleStrings)
{
grammar.BuildBinaryRule(str, tagSet);
}
return grammar;
}