public void CantTrainSupervisedWithPretrainedVectorsWithDifferentDimension()
{
using var fastText = new FastTextWrapper(loggerFactory: _loggerFactory);
string outPath = Path.Combine(_tempDir, "cooking");
var args = new SupervisedArgs();
args.PretrainedVectors = "cooking.unsup.300.vec";
fastText.Invoking(x => x.Supervised("cooking.train.txt", outPath, args))
.Should().Throw <NativeLibraryException>()
.WithMessage("Dimension of pretrained vectors (300) does not match dimension (100)!");
}