Can IJulia Jupyter/Pluto run on Linux without JULIA_COPY_STACKS=1?

Hey,

in the REPL it is possible to run a JavaCall dependent library (like View5D) without JULIA_COPY_STACKS=1.
In IJulia or Pluto it is not:

JavaCall.JavaCallError("Either the environmental variable JULIA_COPY_STACKS must be 1 OR JavaCall must be used on the root Task.")

Stacktrace:
 [1] assertroottask_or_goodenv
   @ ~/.julia/packages/JavaCall/tjlYt/src/jvm.jl:236 [inlined]
 [2] _init(opts::Vector{String})
   @ JavaCall ~/.julia/packages/JavaCall/tjlYt/src/jvm.jl:285
 [3] init()
   @ JavaCall ~/.julia/packages/JavaCall/tjlYt/src/jvm.jl:277
 [4] view5d(data::Matrix{Float64}, viewer::Nothing; gamma::Nothing, mode::DisplayMode, element::Int64, time::Int64, show_phase::Bool, keep_zero::Bool, name::Nothing, title::Nothing, properties::Nothing)
   @ View5D ~/.julia/packages/View5D/cKswI/src/View5D.jl:1023
 [5] view5d (repeats 2 times)
   @ ~/.julia/packages/View5D/cKswI/src/View5D.jl:1021 [inlined]
 [6] top-level scope
   @ In[5]:1
 [7] eval
   @ ./boot.jl:360 [inlined]
 [8] include_string(mapexpr::typeof(REPL.softscope), mod::Module, code::String, filename::String)
   @ Base ./loading.jl:1094

Some libraries, like FFTW.jl, crash when JULIA_COPY_STACKS=1 which is unfortunately a deal breaker for my applications.

Can we resolve this situation?

Thanks,

Felix

Start with the JavaCall stacktrace entry points in src/jvm.jl: assertroottask_or_goodenv at line 236 and _init at line 285, then reproduce the behavior in IJulia or Pluto. Compare it with REPL behavior and the JULIA_COPY_STACKS=1 requirement; done means JavaCall-dependent use works there without breaking libraries such as FFTW.jl.