Function MathOptInterface.ScalarQuadraticFunction{Float64} is not supported.

[tmigot]

I am suspecting this is related to #50, there is this warning in OptimizationProblems.jl and the resulting NLPModel has no constraints, while the JuMP model seems to be ok.

using OptimizationProblems
using NLPModelsJuMP

prob = :hs61
prob_fn = eval(Meta.parse("OptimizationProblems.PureJuMP.$(prob)"))
nlp_jump = MathOptNLPModel(prob_fn())
nlp_jump.meta.ncon # is == 0

[amontoison]

@tmigot, a JuMP model with quadratic constraints @constraint are not supported. It only works if you use @NLconstraint.

[tmigot]

Then, we should modifiy hs61 in OptimizationProblems.jl, no?

[amontoison]

If it's the only problem with quadratic constraints modeled with @constraint, yes you should update it.

[tmigot]

Cool, I will open a PR :).

[amontoison]

It's the only problem with this issue.

for prob in names(OptimizationProblems)
        prob == :OptimizationProblems && continue
        println(prob)
        prob_fn = eval(prob)
        model = prob_fn()
        nlp = MathOptNLPModel(model)
end

[tmigot]

Yes, I reviewed them in PR 69 and I think so.

[tmigot]

I misunderstood. This is an NLPModelsJuMP problem and not a JuMP problem, so we don't have to modify OptimizationProblems.jl.
We will have to check-in OptimizationProblems.jl that @NLconstraints are not used in cases with linear or quadratic constraints.