def model(N):
m = Model()
coords = [arange(N), arange(N)]
x = m.add_variables(coords=coords)
y = m.add_variables(coords=coords)
m.add_constraints(x - y >= arange(N))
m.add_constraints(x + y >= 0)
m.add_objective((2 * x).sum() + y.sum())
m.solve(SOLVER)
return
def test_nan_in_objective():
m = Model()
x = m.add_variables(name="x")
y = m.add_variables(name="y")
m.add_constraints(2 * x + 6 * y, ">=", np.nan)
m.add_constraints(4 * x + 2 * y, ">=", 3)
m.add_objective(np.nan * y + x)
with pytest.raises(ValueError):
m.solve()
def model(n, solver, integerlabels):
m = Model()
if integerlabels:
N, M = [arange(n), arange(n)]
else:
N, M = [arange(n).astype(float), arange(n).astype(str)]
x = m.add_variables(coords=[N, M])
y = m.add_variables(coords=[N, M])
m.add_constraints(x - y >= N)
m.add_constraints(x + y >= 0)
m.add_objective((2 * x).sum() + y.sum())
m.solve(solver)
return
