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mballance avatar mballance commented on June 19, 2024 1

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

from pyvsc.

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