public void Graph()
{
DispatcherHelper.Initialize();
var segmentPool = new SegmentPool();
var projectService = Substitute.For <IProjectService>();
var dialogService = Substitute.For <IDialogService>();
var busyService = Substitute.For <IBusyService>();
var graphService = new GraphService(projectService);
var imageExportService = Substitute.For <IImageExportService>();
var analysisService = new AnalysisService(_spanFactory, segmentPool, projectService, dialogService, busyService);
WordPairsViewModel.Factory wordPairsFactory = () => new WordPairsViewModel(busyService);
var globalCorrespondences = new GlobalCorrespondencesViewModel(projectService, busyService, dialogService, imageExportService, graphService, wordPairsFactory);
CogProject project = TestHelpers.GetTestProject(_spanFactory, segmentPool);
project.Meanings.AddRange(new[] { new Meaning("gloss1", "cat1"), new Meaning("gloss2", "cat2"), new Meaning("gloss3", "cat3") });
project.Varieties.AddRange(new[] { new Variety("variety1"), new Variety("variety2"), new Variety("variety3") });
project.Varieties[0].Words.AddRange(new[] { new Word("hɛ.loʊ", project.Meanings[0]), new Word("gʊd", project.Meanings[1]), new Word("bæd", project.Meanings[2]) });
project.Varieties[1].Words.AddRange(new[] { new Word("hɛlp", project.Meanings[0]), new Word("gu.gəl", project.Meanings[1]), new Word("gu.fi", project.Meanings[2]) });
project.Varieties[2].Words.AddRange(new[] { new Word("wɜrd", project.Meanings[0]), new Word("kɑr", project.Meanings[1]), new Word("fʊt.bɔl", project.Meanings[2]) });
projectService.Project.Returns(project);
analysisService.SegmentAll();
projectService.ProjectOpened += Raise.Event();
Assert.That(globalCorrespondences.Graph, Is.Null);
Messenger.Default.Send(new PerformingComparisonMessage());
var varietyPairGenerator = new VarietyPairGenerator();
varietyPairGenerator.Process(project);
var wordPairGenerator = new SimpleWordPairGenerator(segmentPool, project, 0.3, ComponentIdentifiers.PrimaryWordAligner);
var globalCorrIdentifier = new SoundCorrespondenceIdentifier(segmentPool, project, ComponentIdentifiers.PrimaryWordAligner);
foreach (VarietyPair vp in project.VarietyPairs)
{
wordPairGenerator.Process(vp);
foreach (WordPair wp in vp.WordPairs)
{
wp.AreCognatePredicted = true;
}
vp.SoundChangeFrequencyDistribution = new ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> >();
vp.SoundChangeProbabilityDistribution = new ConditionalProbabilityDistribution <SoundContext, Ngram <Segment> >(vp.SoundChangeFrequencyDistribution, (sc, fd) => new MaxLikelihoodProbabilityDistribution <Ngram <Segment> >(fd));
globalCorrIdentifier.Process(vp);
}
Messenger.Default.Send(new ComparisonPerformedMessage());
Assert.That(globalCorrespondences.Graph, Is.Not.Null);
globalCorrespondences.SyllablePosition = SyllablePosition.Nucleus;
Assert.That(globalCorrespondences.Graph, Is.Not.Null);
Messenger.Default.Send(new DomainModelChangedMessage(true));
Assert.That(globalCorrespondences.Graph, Is.Null);
globalCorrespondences.SyllablePosition = SyllablePosition.Coda;
Assert.That(globalCorrespondences.Graph, Is.Null);
}
public AnalyzeViewModel(HierarchicalGraphViewModel hierarchicalGraph, NetworkGraphViewModel networkGraph, GeographicalViewModel geographical,
GlobalCorrespondencesViewModel globalCorrespondences)
: base("Analyze", hierarchicalGraph, networkGraph, geographical, globalCorrespondences)
{
}
public void ObservedWordPairs()
{
DispatcherHelper.Initialize();
var segmentPool = new SegmentPool();
var projectService = Substitute.For <IProjectService>();
var dialogService = Substitute.For <IDialogService>();
var busyService = Substitute.For <IBusyService>();
var graphService = new GraphService(projectService);
var imageExportService = Substitute.For <IImageExportService>();
var analysisService = new AnalysisService(_spanFactory, segmentPool, projectService, dialogService, busyService);
WordPairsViewModel.Factory wordPairsFactory = () => new WordPairsViewModel(busyService);
WordPairViewModel.Factory wordPairFactory = (pair, order) => new WordPairViewModel(projectService, analysisService, pair, order);
var globalCorrespondences = new GlobalCorrespondencesViewModel(projectService, busyService, dialogService, imageExportService, graphService, wordPairsFactory, wordPairFactory);
CogProject project = TestHelpers.GetTestProject(_spanFactory, segmentPool);
project.Meanings.AddRange(new[] { new Meaning("gloss1", "cat1"), new Meaning("gloss2", "cat2"), new Meaning("gloss3", "cat3") });
project.Varieties.AddRange(new[] { new Variety("variety1"), new Variety("variety2"), new Variety("variety3") });
project.Varieties[0].Words.AddRange(new[] { new Word("hɛ.loʊ", project.Meanings[0]), new Word("gʊd", project.Meanings[1]), new Word("bæd", project.Meanings[2]) });
project.Varieties[1].Words.AddRange(new[] { new Word("hɛlp", project.Meanings[0]), new Word("gu.gəl", project.Meanings[1]), new Word("gu.fi", project.Meanings[2]) });
project.Varieties[2].Words.AddRange(new[] { new Word("wɜrd", project.Meanings[0]), new Word("kɑr", project.Meanings[1]), new Word("fʊt.bɔl", project.Meanings[2]) });
projectService.Project.Returns(project);
analysisService.SegmentAll();
var varietyPairGenerator = new VarietyPairGenerator();
varietyPairGenerator.Process(project);
var wordPairGenerator = new SimpleWordPairGenerator(segmentPool, project, 0.3, ComponentIdentifiers.PrimaryWordAligner);
var globalCorrIdentifier = new SoundCorrespondenceIdentifier(segmentPool, project, ComponentIdentifiers.PrimaryWordAligner);
foreach (VarietyPair vp in project.VarietyPairs)
{
wordPairGenerator.Process(vp);
foreach (WordPair wp in vp.WordPairs)
{
wp.PredictedCognacy = true;
}
vp.CognateSoundCorrespondenceFrequencyDistribution = new ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> >();
vp.CognateSoundCorrespondenceProbabilityDistribution = new ConditionalProbabilityDistribution <SoundContext, Ngram <Segment> >(vp.CognateSoundCorrespondenceFrequencyDistribution, (sc, fd) => new MaxLikelihoodProbabilityDistribution <Ngram <Segment> >(fd));
globalCorrIdentifier.Process(vp);
}
projectService.AreAllVarietiesCompared.Returns(true);
projectService.ProjectOpened += Raise.Event();
var observedWordPairs = globalCorrespondences.ObservedWordPairs;
observedWordPairs.WordPairsView = new ListCollectionView(observedWordPairs.WordPairs);
Assert.That(observedWordPairs.WordPairsView, Is.Empty);
globalCorrespondences.SelectedCorrespondence = globalCorrespondences.Graph.Edges.First(e => e.Source.StrRep == "g" && e.Target.StrRep == "k");
WordPairViewModel[] wordPairsArray = observedWordPairs.WordPairsView.Cast <WordPairViewModel>().ToArray();
Assert.That(wordPairsArray.Length, Is.EqualTo(2));
Assert.That(wordPairsArray[0].Meaning.Gloss, Is.EqualTo("gloss2"));
Assert.That(wordPairsArray[0].AlignedNodes[2].IsSelected, Is.True);
Assert.That(wordPairsArray[1].Meaning.Gloss, Is.EqualTo("gloss2"));
Assert.That(wordPairsArray[1].AlignedNodes[0].IsSelected, Is.True);
globalCorrespondences.SyllablePosition = SyllablePosition.Nucleus;
globalCorrespondences.SelectedCorrespondence = globalCorrespondences.Graph.Edges.First(e => e.Source.StrRep == "ʊ" && e.Target.StrRep == "u");
wordPairsArray = observedWordPairs.WordPairsView.Cast <WordPairViewModel>().ToArray();
Assert.That(wordPairsArray.Length, Is.EqualTo(2));
Assert.That(wordPairsArray[0].Meaning.Gloss, Is.EqualTo("gloss2"));
Assert.That(wordPairsArray[0].AlignedNodes[1].IsSelected, Is.True);
Assert.That(wordPairsArray[1].Meaning.Gloss, Is.EqualTo("gloss3"));
Assert.That(wordPairsArray[1].AlignedNodes[1].IsSelected, Is.True);
globalCorrespondences.SelectedCorrespondence = null;
Assert.That(observedWordPairs.WordPairsView, Is.Empty);
}
public void FindCommand()
{
DispatcherHelper.Initialize();
var segmentPool = new SegmentPool();
var projectService = Substitute.For <IProjectService>();
var dialogService = Substitute.For <IDialogService>();
var busyService = Substitute.For <IBusyService>();
var graphService = new GraphService(projectService);
var imageExportService = Substitute.For <IImageExportService>();
var analysisService = new AnalysisService(_spanFactory, segmentPool, projectService, dialogService, busyService);
WordPairsViewModel.Factory wordPairsFactory = () => new WordPairsViewModel(busyService);
WordPairViewModel.Factory wordPairFactory = (pair, order) => new WordPairViewModel(projectService, analysisService, pair, order);
var globalCorrespondences = new GlobalCorrespondencesViewModel(projectService, busyService, dialogService, imageExportService, graphService, wordPairsFactory, wordPairFactory);
CogProject project = TestHelpers.GetTestProject(_spanFactory, segmentPool);
project.Meanings.AddRange(new[] { new Meaning("gloss1", "cat1"), new Meaning("gloss2", "cat2"), new Meaning("gloss3", "cat3") });
project.Varieties.AddRange(new[] { new Variety("variety1"), new Variety("variety2"), new Variety("variety3") });
project.Varieties[0].Words.AddRange(new[] { new Word("hɛ.loʊ", project.Meanings[0]), new Word("gʊd", project.Meanings[1]), new Word("kæd", project.Meanings[2]) });
project.Varieties[1].Words.AddRange(new[] { new Word("hɛlp", project.Meanings[0]), new Word("gu.gəl", project.Meanings[1]), new Word("gu.fi", project.Meanings[2]) });
project.Varieties[2].Words.AddRange(new[] { new Word("wɜrd", project.Meanings[0]), new Word("kɑr", project.Meanings[1]), new Word("fʊt.bɔl", project.Meanings[2]) });
projectService.Project.Returns(project);
analysisService.SegmentAll();
var varietyPairGenerator = new VarietyPairGenerator();
varietyPairGenerator.Process(project);
var wordPairGenerator = new SimpleWordPairGenerator(segmentPool, project, 0.3, ComponentIdentifiers.PrimaryWordAligner);
var globalCorrIdentifier = new SoundCorrespondenceIdentifier(segmentPool, project, ComponentIdentifiers.PrimaryWordAligner);
foreach (VarietyPair vp in project.VarietyPairs)
{
wordPairGenerator.Process(vp);
foreach (WordPair wp in vp.WordPairs)
{
wp.PredictedCognacy = true;
}
vp.CognateSoundCorrespondenceFrequencyDistribution = new ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> >();
vp.CognateSoundCorrespondenceProbabilityDistribution = new ConditionalProbabilityDistribution <SoundContext, Ngram <Segment> >(vp.CognateSoundCorrespondenceFrequencyDistribution, (sc, fd) => new MaxLikelihoodProbabilityDistribution <Ngram <Segment> >(fd));
globalCorrIdentifier.Process(vp);
}
projectService.AreAllVarietiesCompared.Returns(true);
projectService.ProjectOpened += Raise.Event();
WordPairsViewModel observedWordPairs = globalCorrespondences.ObservedWordPairs;
observedWordPairs.WordPairsView = new ListCollectionView(observedWordPairs.WordPairs);
FindViewModel findViewModel = null;
Action closeCallback = null;
dialogService.ShowModelessDialog(globalCorrespondences, Arg.Do <FindViewModel>(vm => findViewModel = vm), Arg.Do <Action>(callback => closeCallback = callback));
globalCorrespondences.FindCommand.Execute(null);
Assert.That(findViewModel, Is.Not.Null);
Assert.That(closeCallback, Is.Not.Null);
// already open, shouldn't get opened twice
dialogService.ClearReceivedCalls();
globalCorrespondences.FindCommand.Execute(null);
dialogService.DidNotReceive().ShowModelessDialog(globalCorrespondences, Arg.Any <FindViewModel>(), Arg.Any <Action>());
// form searches
findViewModel.Field = FindField.Form;
// no word pairs, no match
findViewModel.String = "nothing";
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.Empty);
globalCorrespondences.SelectedCorrespondence = globalCorrespondences.Graph.Edges.First(e => e.Source.StrRep == "k" && e.Target.StrRep == "g");
WordPairViewModel[] wordPairsArray = observedWordPairs.WordPairsView.Cast <WordPairViewModel>().ToArray();
// nothing selected, no match
findViewModel.String = "nothing";
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.Empty);
// nothing selected, matches
findViewModel.String = "d";
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[1].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[2].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[2].ToEnumerable()));
// first word selected, matches
observedWordPairs.SelectedWordPairs.Clear();
observedWordPairs.SelectedWordPairs.Add(wordPairsArray[0]);
findViewModel.String = "g";
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[1].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[2].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[0].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[0].ToEnumerable()));
// start search over
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[1].ToEnumerable()));
// last word selected, matches
observedWordPairs.SelectedWordPairs.Clear();
observedWordPairs.SelectedWordPairs.Add(wordPairsArray[2]);
findViewModel.String = "u";
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[0].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[2].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[2].ToEnumerable()));
// nothing selected, matches, change selected word
observedWordPairs.SelectedWordPairs.Clear();
findViewModel.String = ".";
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[0].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[2].ToEnumerable()));
observedWordPairs.SelectedWordPairs.Clear();
observedWordPairs.SelectedWordPairs.Add(wordPairsArray[1]);
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[2].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[0].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[0].ToEnumerable()));
// gloss searches
findViewModel.Field = FindField.Gloss;
findViewModel.String = "gloss2";
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[1].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[0].ToEnumerable()));
findViewModel.FindNextCommand.Execute(null);
Assert.That(observedWordPairs.SelectedWordPairs, Is.EquivalentTo(wordPairsArray[0].ToEnumerable()));
}
public AnalyzeViewModel(HierarchicalGraphViewModel hierarchicalGraph, NetworkGraphViewModel networkGraph, GeographicalViewModel geographical,
GlobalCorrespondencesViewModel globalCorrespondences)
: base("Analyze", hierarchicalGraph, networkGraph, geographical, globalCorrespondences)
{
}