public static EditorTree ApplyTextChange(string expression, int start, int oldLength, int newLength, string newText)
{
TextBufferMock textBuffer = new TextBufferMock(expression, RContentTypeDefinition.ContentType);
EditorTree tree = new EditorTree(textBuffer);
tree.Build();
TextChange tc = new TextChange();
tc.OldRange = new TextRange(start, oldLength);
tc.NewRange = new TextRange(start, newLength);
tc.OldTextProvider = new TextProvider(textBuffer.CurrentSnapshot);
if (oldLength == 0 && newText.Length > 0)
{
textBuffer.Insert(start, newText);
}
else if (oldLength > 0 && newText.Length > 0)
{
textBuffer.Replace(new Span(start, oldLength), newText);
}
else
{
textBuffer.Delete(new Span(start, oldLength));
}
return(tree);
}
public static EditorTree ApplyTextChange(IServiceContainer services, string expression, int start, int oldLength, int newLength, string newText)
{
var textBuffer = new TextBufferMock(expression, RContentTypeDefinition.ContentType).ToEditorBuffer();
var tree = new EditorTree(textBuffer, services);
tree.Build();
if (oldLength == 0 && newText.Length > 0)
{
textBuffer.Insert(start, newText);
}
else if (oldLength > 0 && newText.Length > 0)
{
textBuffer.Replace(new TextRange(start, oldLength), newText);
}
else
{
textBuffer.Delete(new TextRange(start, oldLength));
}
return(tree);
}
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);
}