/// <summary>
/// Return a string describing the usage of the program this method is called from, given the
/// options declared in the given set of classes.
/// </summary>
/// <remarks>
/// Return a string describing the usage of the program this method is called from, given the
/// options declared in the given set of classes.
/// This will print both the static options, and the non-static options.
/// </remarks>
/// <param name="optionsClasses">The classes defining the options being used by this program.</param>
/// <returns>A String describing the usage of the class.</returns>
public static string Usage(Type[] optionsClasses)
{
string mainClass = ThreadRootClass();
StringBuilder b = new StringBuilder();
b.Append("Usage: ").Append(mainClass).Append(' ');
IList <Pair <ArgumentParser.Option, FieldInfo> > options = new List <Pair <ArgumentParser.Option, FieldInfo> >();
foreach (Type clazz in optionsClasses)
{
try
{
Sharpen.Collections.AddAll(options, Arrays.Stream(ScrapeFields(clazz)).Map(null).Filter(null).Collect(Collectors.ToList()));
}
catch (Exception)
{
return(b.Append("<unknown>").ToString());
}
}
int longestOptionName = options.Stream().Map(null).Max(IComparer.ComparingInt(null)).OrElse(10);
int longestOptionType = options.Stream().Map(null).Max(IComparer.ComparingInt(null)).OrElse(10) + 1;
options.Stream().Filter(null).ForEach(null);
options.Stream().Filter(null).ForEach(null);
return(b.ToString());
}
/// <summary>
/// Create a dataset of subject/object pairs, such that a sequence of splits that segments this
/// subject and object is a correct sequence.
/// </summary>
/// <param name="depparse">The dependency parse of the sentence.</param>
/// <param name="traceTargets">The set of spans corresponding to targets of traces.</param>
/// <param name="traceSources">The set of indices in a sentence corresponding to the sources of traces.</param>
/// <returns>A dataset of subject/object spans.</returns>
private static ICollection <Pair <Span, Span> > SubjectObjectPairs(SemanticGraph depparse, IList <CoreLabel> tokens, IDictionary <int, Span> traceTargets, IDictionary <int, int> traceSources)
{
// log(StringUtils.join(tokens.stream().map(CoreLabel::word), " "));
IList <Pair <Span, Span> > data = new List <Pair <Span, Span> >();
foreach (SemgrexPattern vpPattern in segmenter.VpPatterns)
{
SemgrexMatcher matcher = vpPattern.Matcher(depparse);
while (matcher.Find())
{
// Get the verb and object
IndexedWord verb = matcher.GetNode("verb");
IndexedWord @object = matcher.GetNode("object");
if (verb != null && @object != null)
{
// See if there is already a subject attached
bool hasSubject = false;
foreach (SemanticGraphEdge edge in depparse.OutgoingEdgeIterable(verb))
{
if (edge.GetRelation().ToString().Contains("subj"))
{
hasSubject = true;
}
}
foreach (SemanticGraphEdge edge_1 in depparse.OutgoingEdgeIterable(@object))
{
if (edge_1.GetRelation().ToString().Contains("subj"))
{
hasSubject = true;
}
}
if (!hasSubject)
{
// Get the spans for the verb and object
Optional <IList <IndexedWord> > verbChunk = segmenter.GetValidChunk(depparse, verb, segmenter.ValidAdverbArcs, Optional.Empty(), true);
Optional <IList <IndexedWord> > objectChunk = segmenter.GetValidChunk(depparse, @object, segmenter.ValidObjectArcs, Optional.Empty(), true);
if (verbChunk.IsPresent() && objectChunk.IsPresent())
{
verbChunk.Get().Sort(IComparer.ComparingInt(null));
objectChunk.Get().Sort(IComparer.ComparingInt(null));
// Find a trace
int traceId = -1;
Span verbSpan = ToSpan(verbChunk.Get());
Span traceSpan = Span.FromValues(verbSpan.Start() - 1, verbSpan.End() + 1);
foreach (KeyValuePair <int, int> entry in traceSources)
{
if (traceSpan.Contains(entry.Value))
{
traceId = entry.Key;
}
}
//noinspection StatementWithEmptyBody
if (traceId < 0)
{
}
else
{
// Register the VP as an unknown VP
// List<CoreLabel> vpChunk = new ArrayList<>();
// vpChunk.addAll(verbChunk.get());
// vpChunk.addAll(objectChunk.get());
// Collections.sort(vpChunk, (a, b) -> a.index() - b.index());
// debug("could not find trace for " + vpChunk);
// Add the obj chunk
Span subjectSpan = traceTargets[traceId];
Span objectSpan = ToSpan(objectChunk.Get());
if (subjectSpan != null)
{
// debug("(" +
// StringUtils.join(tokens.subList(subjectSpan.start(), subjectSpan.end()).stream().map(CoreLabel::word), " ") + "; " +
// verb.word() + "; " +
// StringUtils.join(tokens.subList(objectSpan.start(), objectSpan.end()).stream().map(CoreLabel::word), " ") +
// ")");
data.Add(Pair.MakePair(subjectSpan, objectSpan));
}
}
}
}
}
}
}
// Run vanilla pattern splits
foreach (SemgrexPattern vpPattern_1 in segmenter.VerbPatterns)
{
SemgrexMatcher matcher = vpPattern_1.Matcher(depparse);
while (matcher.Find())
{
// Get the verb and object
IndexedWord subject = matcher.GetNode("subject");
IndexedWord @object = matcher.GetNode("object");
if (subject != null && @object != null)
{
Optional <IList <IndexedWord> > subjectChunk = segmenter.GetValidChunk(depparse, subject, segmenter.ValidSubjectArcs, Optional.Empty(), true);
Optional <IList <IndexedWord> > objectChunk = segmenter.GetValidChunk(depparse, @object, segmenter.ValidObjectArcs, Optional.Empty(), true);
if (subjectChunk.IsPresent() && objectChunk.IsPresent())
{
Span subjectSpan = ToSpan(subjectChunk.Get());
Span objectSpan = ToSpan(objectChunk.Get());
data.Add(Pair.MakePair(subjectSpan, objectSpan));
}
}
}
}
return(data);
}
