Supposing I have built an optimization `model`

in JuMP, how can I evaluate its `objective`

with a candidate solution? This solution may be obtained manually or from other tools. That is, how to get `objective(x)`

if I have a tentative value of `x`

.

The feasibility of a solution (point) can be checked with primal_feasibility_report, but how to get the corresponding objective value?