I am trying to port an older Julia 0.4 code that uses ODE.jl and I find it stumbles on this line
tout, aout = ode45((t,a)->F(t,a, N,p,q,m₀,n₀,J,σ,Ω,κ,f), a₀, [0., 10])
The code is a single, small file. The error I get is:
ERROR: LoadError: MethodError: no method matching Array(::Type{ComplexF64}, ::Int64)
Closest candidates are:
Array(::LinearAlgebra.UniformScaling, ::Integer, ::Integer)
@ LinearAlgebra ~/.julia/juliaup/julia-1.9.3+0.aarch64.apple.darwin14/share/julia/stdlib/v1.9/LinearAlgebra/src/uniformscaling.jl:513
Stacktrace:
[1] F(t::Float64, a::Vector{ComplexF64}, N::Int64, p::Int64, q::Int64, m₀::Int64, n₀::Int64, J::Float64, σ::Float64, Ω::Float64, κ::Float64, f::Vector{Float64})
@ Main ~/Development/topo-condensate/runge-kutta.jl:27
[2] (::var"#3#4")(t::Float64, a::Vector{ComplexF64})
@ Main ~/Development/topo-condensate/runge-kutta.jl:110
[3] hinit(F::var"#3#4", x0::Vector{ComplexF64}, t0::Float64, tend::Float64, p::Int64, reltol::Float64, abstol::Float64)
@ ODE ~/.julia/packages/ODE/N5yvz/src/ODE.jl:91
[4] oderk_adapt(fn::var"#3#4", y0::Vector{ComplexF64}, tspan::Vector{Float64}, btab_::ODE.TableauRKExplicit{:dopri, 7, Rational{Int64}}; reltol::Float64, abstol::Float64, norm::Function, minstep::Float64, maxstep::Float64, initstep::Int64, points::Symbol, alias_u0::Bool)
@ ODE ~/.julia/packages/ODE/N5yvz/src/runge_kutta.jl:292
[5] oderk_adapt(fn::Function, y0::Vector{ComplexF64}, tspan::Vector{Float64}, btab_::ODE.TableauRKExplicit{:dopri, 7, Rational{Int64}})
@ ODE ~/.julia/packages/ODE/N5yvz/src/runge_kutta.jl:232
[6] #ode45_dp#10
@ ~/.julia/packages/ODE/N5yvz/src/runge_kutta.jl:221 [inlined]
[7] ode45_dp
@ ~/.julia/packages/ODE/N5yvz/src/runge_kutta.jl:221 [inlined]
[8] #ode45#11
@ ~/.julia/packages/ODE/N5yvz/src/runge_kutta.jl:223 [inlined]
[9] ode45(fn::Function, y0::Vector{ComplexF64}, tspan::Vector{Float64})
@ ODE ~/.julia/packages/ODE/N5yvz/src/runge_kutta.jl:223
[10] top-level scope
@ ~/Development/topo-condensate/runge-kutta.jl:110
in expression starting at /Users/berceanu/Development/topo-condensate/runge-kutta.jl:110
Any ideas on how to get this working with the current version of ODE.jl and Julia 1.9?
Cross posting: Backwards compatibility · Issue #180 · SciML/ODE.jl · GitHub