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()
