def test_tc(modelfile, distfile): with open(modelfile, "r") as modelfp: model = DDPModel() model.init_from(modelfp, ',') with open(distfile, "r") as distfp: dist = DistributionModel() dist.init_from(distfp, ',') output = StringIO.StringIO() dist.apply_as_distribution(model).write(output, ',') print output.getvalue() output.close()
def test_gtc(modelfile, distfile): with open(modelfile, "r") as modelfp: model = SplineModel() FeaturesInterpreter.init_from_feature_file(model, modelfp, ',', (SplineModel.neginf, SplineModel.posinf)) with open(distfile, "r") as distfp: dist = DistributionModel() dist.init_from(distfp, ',') output = StringIO.StringIO() dist.apply_as_distribution(model).write(output, ',') print output.getvalue() output.close()