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)); }