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I have this breakage over at JuliaSmoothOptimizers/SolverCore.jl#25:
ERROR: LoadError: MethodError: no method matching ADNLPModels.ForwardDiffAD(::Int64, ::var"#6#14", ::Vector{Float64}) Closest candidates are: ADNLPModels.ForwardDiffAD(::Int64, !Matched::Int64, ::T) where T at ~/.julia/packages/ADNLPModels/q67fF/src/forward.jl:2 ADNLPModels.ForwardDiffAD(::Integer, ::Any) at ~/.julia/packages/ADNLPModels/q67fF/src/forward.jl:7 ADNLPModels.ForwardDiffAD(::Integer, ::Any, !Matched::Integer; x0, kwargs...) at ~/.julia/packages/ADNLPModels/q67fF/src/forward.jl:7 Stacktrace: [1] tests() @ Main ~/work/SolverCore.jl/SolverCore.jl/NLPModelsIpopt.jl/test/runtests.jl:56 [2] top-level scope @ ~/work/SolverCore.jl/SolverCore.jl/NLPModelsIpopt.jl/test/runtests.jl:66 [3] include(fname::String) @ Base.MainInclude ./client.jl:451 [4] top-level scope @ none:6 in expression starting at /home/runner/work/SolverCore.jl/SolverCore.jl/NLPModelsIpopt.jl/test/runtests.jl:66
cc @tmigot
The text was updated successfully, but these errors were encountered:
You are right, this test was fixed in #83 . I make a new release.
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I have this breakage over at JuliaSmoothOptimizers/SolverCore.jl#25:
cc @tmigot
The text was updated successfully, but these errors were encountered: