[BUG]: deepcopy of Modules not supported

### What happened? When running in IJulia: ```julia ┌ Warning: ProgressMeter by default refresh meters with additional information in IJulia via `IJulia.clear_output`, which clears all outputs in the cell. │ - To prevent this behaviour, do `ProgressMeter.ijulia_behavior(:append)`. │ - To disable this warning message, do `ProgressMeter.ijulia_behavior(:clear)`. └ @ ProgressMeter ~/.julia/packages/ProgressMeter/N660J/src/ProgressMeter.jl:607 Evolving for 200 iterations... 100%|█████████████████████| Time: 0:01:45 ... [ Info: Final population: - outputs/20250902_130236_A8dZfC/hall_of_fame.csv [ Info: Results saved to: deepcopy of Modules not supported Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] deepcopy_internal(x::Module, stackdict::IdDict{Any, Any}) @ Base ./deepcopy.jl:36 [3] deepcopy_internal(x::Any, stackdict::IdDict{Any, Any}) @ Base ./deepcopy.jl:69 [4] deepcopy_internal(x::Any, stackdict::IdDict{Any, Any}) @ Base ./deepcopy.jl:82 [5] deepcopy_internal(x::Any, stackdict::IdDict{Any, Any}) @ Base ./deepcopy.jl:69 [6] deepcopy @ ./deepcopy.jl:29 [inlined] [7] fit_only!(mach::Machine{SRRegressor{DynamicQuantities.SymbolicDimensions{DynamicQuantities.FixedRational{Int32, 25200}}, Nothing}, SRRegressor{DynamicQuantities.SymbolicDimensions{DynamicQuantities.FixedRational{Int32, 25200}}, Nothing}, true}; rows::Nothing, verbosity::Int64, force::Bool, composite::Nothing) @ MLJBase ~/.julia/packages/MLJBase/F8Zzu/src/machines.jl:737 [8] fit_only! @ ~/.julia/packages/MLJBase/F8Zzu/src/machines.jl:617 [inlined] [9] #fit!#66 @ ~/.julia/packages/MLJBase/F8Zzu/src/machines.jl:789 [inlined] [10] fit!(mach::Machine{SRRegressor{DynamicQuantities.SymbolicDimensions{DynamicQuantities.FixedRational{Int32, 25200}}, Nothing}, SRRegressor{DynamicQuantities.SymbolicDimensions{DynamicQuantities.FixedRational{Int32, 25200}}, Nothing}, true}) @ MLJBase ~/.julia/packages/MLJBase/F8Zzu/src/machines.jl:786 [11] fit_sr_model(xs::Vector{Float64}, ys::Vector{Float64}, errs::Vector{Float64}; likelihood::Bool, use_template::Bool, kw::@Kwargs{niterations::Int64, deterministic::Bool, atlas_template::TemplateExpressionSpec{TemplateStructure{(:B, :E), (:p1,), typeof(__sr_template_7980901066278351854), @NamedTuple{B::Int64, E::Int64}, @NamedTuple{p1::Int64}}}, should_optimize_constants::Bool}) @ BjetTLA [~/BjetTLA/src/symbolic_regression_fit.jl:82](https://jiling-notebook-1.notebook.af.uchicago.edu/lab/workspaces/auto-L/tree/BjetTLA/notebooks/BjetTLA/src/symbolic_regression_fit.jl#line=81) [12] fit_sr_model @ [~/BjetTLA/src/symbolic_regression_fit.jl:78](https://jiling-notebook-1.notebook.af.uchicago.edu/lab/workspaces/auto-L/tree/BjetTLA/notebooks/BjetTLA/src/symbolic_regression_fit.jl#line=77) [inlined] [13] fit_sr_model(hist::Hist1D{Float64}; ghost_injection::Bool, kw::@Kwargs{likelihood::Bool, niterations::Int64, deterministic::Bool, atlas_template::TemplateExpressionSpec{TemplateStructure{(:B, :E), (:p1,), typeof(__sr_template_7980901066278351854), @NamedTuple{B::Int64, E::Int64}, @NamedTuple{p1::Int64}}}, should_optimize_constants::Bool}) @ BjetTLA [~/BjetTLA/src/symbolic_regression_fit.jl:96](https://jiling-notebook-1.notebook.af.uchicago.edu/lab/workspaces/auto-L/tree/BjetTLA/notebooks/BjetTLA/src/symbolic_regression_fit.jl#line=95) [14] top-level scope @ In[26]:1 ``` ### Version v2.0.0-alpha.8 ### Operating System Linux ### Interface Jupyter Notebook ### Relevant log output ```shell ``` ### Extra Info _No response_