Trouble calling Julia Function from Python Code

[bdas123]

I am running the following Julia code from a Python script:

function optimization(x0)

#     jacobian = CustomGradFunction(calc_sse, calc_der)
#     model = Model(jacobian)
    model = Model(calc_sse)
    addvar!(model, zeros(size(x0)), zeros(size(x0)).+100, init = x0)
    alg = NLoptAlg(:LD_MMA)
    options = NLoptOptions(ftol_rel = 1e-2)
    result = optimize(model, alg, x0, options = options)
    
    return result
    
end

However, when I do so, I get the following error:

JuliaError: Exception 'MethodError: no method matching is_propertynames_overloaded(::Type{NonconvexNLopt.NLoptResult{Vector{Float64}, Float64, NLopt.Opt, Symbol, NLoptAlg{Nothing}, NLoptOptions{NamedTuple{(:suboptions, :ftol_rel, :ftol_abs, :xtol_rel, :xtol_abs), Tuple{NLoptOptions{NamedTuple{(), Tuple{}}}, Float64, Float64, Float64, Float64}}}, Int64}}) The applicable method may be too new: running in world age 46028, while current world is 91608. Closest candidates are: is_propertynames_overloaded(::Type) at /home/ubuntu/.julia/packages/ConstructionBase/sfPqM/src/ConstructionBase.jl:71 (method too new to be called from this world context.)' occurred while calling julia code: optimization(x0)

This was not a problem before the recent update.

[mohamed82008]

could you please post a complete example I can run to reproduce the error?

[bdas123]

Python Code:

from julia.api import Julia
jl = Julia(compiled_modules=False)
from julia import Main
jl.eval('include("Julia functions.jl")')
result= jl.eval("Base.invokelatest(optimization,x0)")

Julia Code

model = Model(calc_sse)
addvar!(model, zeros(size(540)), zeros(size(540)).+100)

function calc_sse(x0)
    
  return sum(x0.^2)
    
end

function optimization(x0)

    alg = NLoptAlg(:LD_MMA)
    options = NLoptOptions(ftol_rel = 1e-2)
    result = optimize(model, alg, x0, options = options)
    
    return result
    
end

x0 = rand(540)

[mohamed82008]

is this still an issue with the latest versions of Julia, pyjulia and Nonconvex?

[bdas123]

Hello, no it is not.