BUG: in linearterms of function Model.getTermsQuadratic(cons)

[stopfereric]

The function should return: bilinterms, quadterms, linterms of a quadratic constraint.
But it fails at reporting all the linear terms if the variables associated with them also exist in bilinear or quadratic terms.

Try out the following code and you will see:

import pyscipopt

model = pyscipopt.Model()
var1 = model.addVar(name="var1", vtype='C', lb=None)
var2 = model.addVar(name="var2", vtype='C')
var3 = model.addVar(name="var3", vtype='B')
var4 = model.addVar(name="var4", vtype='B')
cons = model.addCons(
            cons=(
                    8 * var4
                    + 4 * var3
                    - 5 * var2
                    + 6 * var3 ** 2
                    - 3 * var1 ** 2
                    + 2 * var2 * var1
                    + 7 * var1 * var3
                    ==
                    -2))
model.writeProblem("ucp.lp")
bilinterms, quadterms, linterms = model.getTermsQuadratic(cons)

The reporting for the bilinear and quadratic terms works well but for the linear terms there is a bug.
Only the linear term 8 * var4 will be displayed, whereas 4 * var3 and -5*var2 aren't recognized.