I encounter a specific edge case in a CP model. All my variables are int based but the objective which is float based. In a lot of usage of my model, there is no issue doing this. But in one specific instanciantion, I encounter an error while evaluating the objective. An error is raised in the evaluation function : # The librairie function def evaluate_linear_expr( expression: LinearExprT, solution: cp_model_pb2.CpSolverResponse ) -> int: """Evaluate a linear expression against a solution.""" if isinstance(expression, IntegralTypes): return int(expression) if not isinstance(expression, LinearExpr): raise TypeError("Cannot interpret %s as a linear expression." % expression) value = 0 to_process = [(expression, 1)] while to_process: expr, coeff = to_process.pop() if isinstance(expr, IntegralTypes): value += int(expr) * coeff elif isinstance(expr, _ProductCst): to_process.append((expr.expression(), coeff * expr.coefficient())) elif isinstance(expr, _Sum): to_process.append((expr.left(), coeff)) to_process.append((expr.right(), coeff)) elif isinstance(expr, _SumArray): for e in expr.expressions(): to_process.append((e, coeff)) value += expr.constant() * coeff elif isinstance(expr, _WeightedSum): for e, c in zip(expr.expressions(), expr.coefficients()): to_process.append((e, coeff * c)) value += expr.constant() * coeff elif isinstance(expr, IntVar): value += coeff * solution.solution[expr.index] elif isinstance(expr, _NotBooleanVariable): value += coeff * (1 - solution.solution[expr.negated().index]) else: # It raises here ! raise TypeError(f"Cannot interpret {expr} as a linear expression.") return value The error: TypeError: Cannot interpret 4000000.0 as a linear expression. Here is what I can see in debug: > expression (7.209805335255949e-08 * (((((((3000 * (VAR300 + (quotient + has_remainder))) + (93000 * VAR879)) + (60000 * VAR300)) + ((1500 * VAR564) + (25000 * VAR780))) + ((2000 * VAR578) + (140000 * VAR781))) + ((9570.300000000001 * VAR832) + (40000 * VAR882))) + 4000000.0)) > type(expression) <class 'ortools.sat.python.cp_model._ProductCst'> > type(expr) <class 'float'> I feel like it should be handled by the librairie... or I am doing something wrong ? Versions Used: Python 3.9.0 ; ortools 9.11.4210 Update I figured out that the only difference between the working instances and this one is the inclusion of a constant float offset, which the evaluation function is unable to process. I found it inconsistant since, in any case, my objective is a floating value and is correctly handled without this constant. Continue reading...