private void ClassifyFile(MarkdownTestFilesFixture fixture, string fileName)
{
string testFile = fixture.GetDestinationPath(fileName);
string content = fixture.LoadDestinationFile(fileName);
TextBufferMock textBuffer = new TextBufferMock(content, MdContentTypeDefinition.ContentType);
var crs = _exportProvider.GetExportedValue <IClassificationTypeRegistryService>();
var ctrs = _exportProvider.GetExportedValue <IContentTypeRegistryService>();
var cnp = _exportProvider.GetExports <IClassificationNameProvider, IComponentContentTypes>();
MdClassifierProvider classifierProvider = new MdClassifierProvider(crs, ctrs, cnp, _exportProvider.GetExportedValue <ICoreShell>());
_exportProvider.GetExportedValue <ICoreShell>().CompositionService.SatisfyImportsOnce(classifierProvider);
IClassifier cls = classifierProvider.GetClassifier(textBuffer);
IList <ClassificationSpan> spans = cls.GetClassificationSpans(new SnapshotSpan(textBuffer.CurrentSnapshot, new Span(0, textBuffer.CurrentSnapshot.Length)));
string actual = ClassificationWriter.WriteClassifications(spans);
string baselineFile = testFile + ".colors";
if (_regenerateBaselineFiles)
{
baselineFile = Path.Combine(fixture.SourcePath, @"Classification\", Path.GetFileName(testFile)) + ".colors";
TestFiles.UpdateBaseline(baselineFile, actual);
}
else
{
TestFiles.CompareToBaseLine(baselineFile, actual);
}
}
private void ClassifyFile(MarkdownTestFilesFixture fixture, string fileName)
{
var testFile = fixture.GetDestinationPath(fileName);
var content = fixture.LoadDestinationFile(fileName);
var textBuffer = new TextBufferMock(content, MdContentTypeDefinition.ContentType);
var crs = _coreShell.GetService <IClassificationTypeRegistryService>();
var ctrs = _coreShell.GetService <IContentTypeRegistryService>();
var classifierProvider = new MdClassifierProvider(crs, ctrs);
var cls = classifierProvider.GetClassifier(textBuffer);
var spans = cls.GetClassificationSpans(new SnapshotSpan(textBuffer.CurrentSnapshot, new Span(0, textBuffer.CurrentSnapshot.Length)));
var actual = ClassificationWriter.WriteClassifications(spans);
var baselineFile = testFile + ".colors";
if (_regenerateBaselineFiles)
{
baselineFile = Path.Combine(fixture.SourcePath, @"Classification\", Path.GetFileName(testFile)) + ".colors";
TestFiles.UpdateBaseline(baselineFile, actual);
}
else
{
TestFiles.CompareToBaseLine(baselineFile, actual);
}
}
public void RColors(string fileName)
{
using (var script = new TestScript(_files, fileName, unused: false)) {
script.DoIdle(500);
var spans = script.GetClassificationSpans();
var actual = ClassificationWriter.WriteClassifications(spans);
VerifyClassifications(fileName, actual);
}
}
public async Task RColors(string fileName)
{
var content = _files.LoadDestinationFile(fileName);
using (var script = await _editorHost.StartScript(_services, content, fileName, MdContentTypeDefinition.ContentType, null)) {
script.DoIdle(500);
var spans = script.GetClassificationSpans();
var actual = ClassificationWriter.WriteClassifications(spans);
VerifyClassifications(fileName, actual);
}
}
public async Task RColors(string fileName)
{
string content = _files.LoadDestinationFile(fileName);
using (var script = await _editorHost.StartScript(_exportProvider, content, fileName, null)) {
script.DoIdle(500);
var spans = script.GetClassificationSpans();
var actual = ClassificationWriter.WriteClassifications(spans);
VerifyClassifications(fileName, actual);
}
}
public void ClassifyRContent()
{
string expected1 =
@"[0:9] keyword
[9:1] RD Braces
[16:2] number
[19:1] number
[32:5] string";
string expected2 =
@"[0:9] keyword
[9:1] RD Braces
[16:2] number
[19:1] number
[32:6] string";
string s1 = "\\examples{ x <- -9:9 plot(col = \"";
string s2 = "red\")";
string original = s1 + s2;
TextBufferMock textBuffer = new TextBufferMock(original, RdContentTypeDefinition.ContentType);
ClassificationTypeRegistryServiceMock ctrs = new ClassificationTypeRegistryServiceMock();
RdClassifier cls = new RdClassifier(textBuffer, ctrs);
IList <ClassificationSpan> spans = cls.GetClassificationSpans(new SnapshotSpan(textBuffer.CurrentSnapshot, new Span(0, textBuffer.CurrentSnapshot.Length)));
string actual = ClassificationWriter.WriteClassifications(spans);
BaselineCompare.CompareStringLines(expected1, actual);
textBuffer.Insert(s1.Length, "%");
spans = cls.GetClassificationSpans(new SnapshotSpan(textBuffer.CurrentSnapshot, new Span(0, textBuffer.CurrentSnapshot.Length)));
actual = ClassificationWriter.WriteClassifications(spans);
BaselineCompare.CompareStringLines(expected2, actual);
textBuffer.Delete(new Span(s1.Length, 1));
spans = cls.GetClassificationSpans(new SnapshotSpan(textBuffer.CurrentSnapshot, new Span(0, textBuffer.CurrentSnapshot.Length)));
actual = ClassificationWriter.WriteClassifications(spans);
BaselineCompare.CompareStringLines(expected1, actual);
}
private string GetSpans(IClassifier cls, ITextBuffer textBuffer)
{
IList <ClassificationSpan> spans = cls.GetClassificationSpans(new SnapshotSpan(textBuffer.CurrentSnapshot, new Span(0, textBuffer.CurrentSnapshot.Length)));
return(ClassificationWriter.WriteClassifications(spans));
}
