[Bug]

[jbcaillau]

Issue when using print_level with :madnlp (that indeed knows this option):

ocp = @def begin
    t ∈ [0, 1], time
    x ∈ R², state
    u ∈ R, control
    x(0) == [-1, 0]
    x(1) == [0, 0]
    ẋ(t) == [x₂(t), u(t)]
    ∫( 0.5u(t)^2 ) → min
end

julia> solve(ocp, :madnlp; print_level = 4)
▫ This is OptimalControl version v1.1.0 running with: direct, adnlp, madnlp.

▫ The optimal control problem is solved with CTDirect version v0.15.2.

   ┌─ The NLP is modelled with ADNLPModels and solved with MadNLP.
   │
   ├─ Number of time steps⋅: 250
   └─ Discretisation scheme: trapeze

ERROR: MethodError: no method matching parse_option(::Type{MadNLP.LogLevels}, ::Int64)
The function `parse_option` exists, but no method is defined for this combination of argument types.

[ocots]

Valid values are: MadNLP.{TRACE, DEBUG, INFO, NOTICE, WARN, ERROR}.

See here.

[jbcaillau]

Valid values are: MadNLP.{TRACE, DEBUG, INFO, NOTICE, WARN, ERROR}.

See here.

oh right. now i remember 😅. misleading that the same kwarg is used with Ipopt and MadNLP, but different types.