public CognacyDecision Add(WordPair wordPair, bool cognacy)
{
var decision = new CognacyDecision(wordPair.VarietyPair.Variety1, wordPair.VarietyPair.Variety2, wordPair.Meaning, cognacy);
Add(decision);
return(decision);
}
public WordPairViewModel(IWordAligner aligner, WordPair wordPair, bool areVarietiesInOrder)
{
_wordPair = wordPair;
_areVarietiesInOrder = areVarietiesInOrder;
_meaning = new MeaningViewModel(_wordPair.Word1.Meaning);
_variety1 = new VarietyViewModel(_wordPair.VarietyPair.Variety1);
_variety2 = new VarietyViewModel(_wordPair.VarietyPair.Variety2);
IWordAlignerResult results = aligner.Compute(_wordPair);
_alignment = results.GetAlignments().First();
_prefixNode = new AlignedNodeViewModel(_alignment.Prefixes[0], _alignment.Prefixes[1]);
var nodes = new List<AlignedNodeViewModel>();
int i = 0;
for (int column = 0; column < _alignment.ColumnCount; column++)
{
string note = null;
if (i < _wordPair.AlignmentNotes.Count)
note = _wordPair.AlignmentNotes[i];
nodes.Add(new AlignedNodeViewModel(column, _alignment[0, column], _alignment[1, column], note));
i++;
}
_suffixNode = new AlignedNodeViewModel(_alignment.Suffixes[0], _alignment.Suffixes[1]);
_alignedNodes = new ReadOnlyCollection<AlignedNodeViewModel>(nodes);
_showInMultipleWordAlignmentCommand = new RelayCommand(ShowInMultipleWordAlignment);
}
public WordPairSurrogate(WordPair wp)
{
Meaning = wp.Meaning.Gloss;
Word1 = wp.Word1.StrRep;
Word2 = wp.Word2.StrRep;
_alignmentNotes = wp.AlignmentNotes.ToList();
AreCognatePredicted = wp.AreCognatePredicted;
PhoneticSimilarityScore = wp.PhoneticSimilarityScore;
CognacyScore = wp.CognacyScore;
}
public bool Remove(WordPair wordPair)
{
Dictionary <Meaning, CognacyDecision> decisions;
UnorderedTuple <Variety, Variety> key = UnorderedTuple.Create(wordPair.VarietyPair.Variety1, wordPair.VarietyPair.Variety2);
if (_lookupDictionary.TryGetValue(key, out decisions))
{
CognacyDecision decision;
if (decisions.TryGetValue(wordPair.Meaning, out decision))
{
return(Remove(decision));
}
}
return(false);
}
public bool Remove(WordPair wordPair)
{
Dictionary <Meaning, int> decisions;
UnorderedTuple <Variety, Variety> key = UnorderedTuple.Create(wordPair.VarietyPair.Variety1, wordPair.VarietyPair.Variety2);
if (_lookupDictionary.TryGetValue(key, out decisions))
{
int index;
if (decisions.TryGetValue(wordPair.Meaning, out index))
{
decisions.Remove(wordPair.Meaning);
if (decisions.Count == 0)
{
_lookupDictionary.Remove(key);
}
base.RemoveItem(index);
return(true);
}
}
return(false);
}
public void UpdateActualCognacy(WordPair wordPair)
{
wordPair.ActualCognacy = GetCognacy(wordPair.VarietyPair, wordPair.Meaning);
}
public WordPair ToWordPair(CogProject project, VarietyPair vp)
{
Meaning meaning = project.Meanings[Meaning];
Word word1 = vp.Variety1.Words[meaning].First(w => w.StrRep == Word1);
Word word2 = vp.Variety2.Words[meaning].First(w => w.StrRep == Word2);
var wp = new WordPair(word1, word2)
{
AreCognatePredicted = AreCognatePredicted,
PhoneticSimilarityScore = PhoneticSimilarityScore,
CognacyScore = CognacyScore
};
wp.AlignmentNotes.AddRange(_alignmentNotes);
return wp;
}
public TestEnvironment(bool? actualCognacy, bool predictedCognacy)
{
DispatcherHelper.Initialize();
var segmentPool = new SegmentPool();
var spanFactory = new ShapeSpanFactory();
var projectService = Substitute.For<IProjectService>();
var analysisService = Substitute.For<IAnalysisService>();
_project = TestHelpers.GetTestProject(spanFactory, segmentPool);
_project.Varieties.AddRange(new[] {new Variety("variety1"), new Variety("variety2")});
_project.Meanings.Add(new Meaning("meaning1", null));
var word1 = new Word("wɜrd", _project.Meanings[0]);
_project.Varieties[0].Words.Add(word1);
_project.Segmenter.Segment(word1);
var word2 = new Word("kɑr", _project.Meanings[0]);
_project.Varieties[1].Words.Add(word2);
_project.Segmenter.Segment(word2);
var vp = new VarietyPair(_project.Varieties[0], _project.Varieties[1]);
if (actualCognacy != null)
_project.CognacyDecisions.Add(new CognacyDecision(vp.Variety1, vp.Variety2, _project.Meanings[0], (bool) actualCognacy));
_project.VarietyPairs.Add(vp);
var wp = new WordPair(word1, word2) {PredictedCognacy = predictedCognacy, ActualCognacy = actualCognacy};
_project.VarietyPairs[0].WordPairs.Add(wp);
projectService.Project.Returns(_project);
_wordPairViewModel = new WordPairViewModel(projectService, analysisService, wp, true);
}
