Application
Sometimes I want to create a constraint for which I already know the values for some of the variables. I can create the constraint and then immediately fix the variable after, but it might be nice to do it on creation (also can memory/time).
Proposed Solution
I would like to be able to provide boolean values in the place of variables. This would be equivalent to fixing them.
csp = dwavebinarycsp.ConstraintSatisfactionProblem(dwavebinarycsp.BINARY)
def and_gate(in0, in1, out):
return (in0 and in1) == out
csp.add_constraint(and_gate, ['a', 'b', False])
In this case the constraint would be the identical to
csp = dwavebinarycsp.ConstraintSatisfactionProblem(dwavebinarycsp.BINARY)
def nand(in0, in1):
return not (in0 and in1)
csp.add_constraint(nand, ['a', 'b'])
Application Sometimes I want to create a constraint for which I already know the values for some of the variables. I can create the constraint and then immediately fix the variable after, but it might be nice to do it on creation (also can memory/time).
Proposed Solution I would like to be able to provide boolean values in the place of variables. This would be equivalent to fixing them.
In this case the constraint would be the identical to