Usage of Model API

[yashp0103]

Hi @mballance

We have done some experiments on different APIs from pyvsc. Some Model APIs are provided, and we have tried one from them that is, set_constraint_enabled(en). We are expecting the output same as constraint_mode(). Don't know the actual use of Model APIs.
Can you provide some examples related to that? So that we can know how to use and where to use.

Code:

Output:

Thanks & Regards,
Yash Patel

[mballance]

Hi @pvipsyash,
The Model APIs are used to programmatically build up data and constraint models. They're currently used to implement the user-level API (eg @constraint, @randobj, etc). They can also be used standalone -- see an example here:

pyvsc/ve/unit/test_rand_model.py

Lines 22 to 38 in 67735fc

	def test_smoke(self):
	obj = FieldCompositeModel("obj")
	a = obj.add_field(FieldScalarModel("a", 8, False, True))
	b = obj.add_field(FieldScalarModel("a", 8, False, True))
	obj.add_constraint(ConstraintBlockModel("c", [
	ConstraintExprModel(
	ExprBinModel(
	a.expr(),
	BinExprType.Lt,
	b.expr()))
	]))
	rand = Randomizer()
	rand.do_randomize([obj])
	self.assertLess(a.val, b.val)

In this example, you could call 'set_constraint_enabled' on the ConstraintModel object.
Can you provide a bit more detail on your use model? Depending on what it is, the user-level API, model API, or some combination could be the best approach.

Best Regards,
Matthew