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Identifiers with subscripts and superscripts

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首先重现 issue 中所示的 PyJulia 调用，并将 Python 关键字规范化与 traceback 中 Julia 侧的名称进行比较。跟踪 PyCall 调用周围的参数处理；当存在传递原始标识符的文档化方式，或存在针对下标和上标的、经过约定且测试过的转换时，即视为完成。

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描述

As mentioned in the documention, Python3 normalizes some unicode identifiers, in particular those including subscripts and superscripts.

Now, I have a julia function that needs input arguments written with sub/superscripts. How can I pass the correct identifer to the function ?
Otherwise, in the same way function!() is converted to function_b(), coud we think of converting Rₛ to Rs ?

>>> from julia import PlantBiophysics as PB
>>> leaf = PB.LeafModels(
        energy = PB.Monteith(),
        photosynthesis = PB.Fvcb(),
        stomatal_conductance = PB.Medlyn(0.03, 12.0),
        Rₛ = 13.747, skyFraction = 1.0, PPFD = 1500.0, d = 0.03
    )

┌ Warning: use values(kwargs) and keys(kwargs) instead of kwargs.data and kwargs.itr
│   caller = #MutableNamedTuple#1 at MutableNamedTuples.jl:9 [inlined]
└ @ Core ~/.julia/packages/MutableNamedTuples/6Sa4J/src/MutableNamedTuples.jl:9
┌ Warning: use values(kwargs) and keys(kwargs) instead of kwargs.data and kwargs.itr
│   caller = #MutableNamedTuple#1 at MutableNamedTuples.jl:9 [inlined]
└ @ Core ~/.julia/packages/MutableNamedTuples/6Sa4J/src/MutableNamedTuples.jl:9

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
/var/folders/v1/6y176c8d2jz06qr8rd3jq_480000gn/T/ipykernel_82531/2481116038.py in <module>
----> 1 leaf = PB.LeafModels(
      2         energy = PB.Monteith(),
      3         photosynthesis = PB.Fvcb(),
      4         stomatal_conductance = PB.Medlyn(0.03, 12.0),
      5         Rₛ = 13.747, skyFraction = 1.0, PPFD = 1500.0, d = 0.03

RuntimeError: <PyCall.jlwrap (in a Julia function called from Python)
JULIA: Key Rs not found as a variable of any provided models
Stacktrace:
 [1] error(s::String)
   @ Base ./error.jl:33
 [2] init_variables_manual(::Missing, ::Vararg{Any}; vars::Base.Pairs{Symbol, Float64, NTuple{4, Symbol}, NamedTuple{(:Rs, :skyFraction, :PPFD, :d), NTuple{4, Float64}}})
   @ PlantBiophysics ~/.julia/packages/PlantBiophysics/BC7Kh/src/models_helpers.jl:320
 [3] PlantBiophysics.LeafModels(; interception::Missing, energy::PlantBiophysics.Monteith{Float64, Int64}, photosynthesis::PlantBiophysics.Fvcb{Float64}, stomatal_conductance::PlantBiophysics.Medlyn{Float64}, status::Base.Pairs{Symbol, Float64, NTuple{4, Symbol}, NamedTuple{(:Rs, :skyFraction, :PPFD, :d), NTuple{4, Float64}}})
   @ PlantBiophysics ~/.julia/packages/PlantBiophysics/BC7Kh/src/structs/concrete_component_structs.jl:110
 [4] invokelatest(::Any; kwargs::Base.Pairs{Symbol, Any, NTuple{7, Symbol}, NamedTuple{(:energy, :photosynthesis, :stomatal_conductance, :Rs, :skyFraction, :PPFD, :d), Tuple{PlantBiophysics.Monteith{Float64, Int64}, PlantBiophysics.Fvcb{Float64}, PlantBiophysics.Medlyn{Float64}, Float64, Float64, Float64, Float64}}})
   @ Base ./essentials.jl:718
 [5] _pyjlwrap_call(f::Type, args_::Ptr{PyCall.PyObject_struct}, kw_::Ptr{PyCall.PyObject_struct})
   @ PyCall ~/.julia/packages/PyCall/L0fLP/src/callback.jl:32
 [6] pyjlwrap_call(self_::Ptr{PyCall.PyObject_struct}, args_::Ptr{PyCall.PyObject_struct}, kw_::Ptr{PyCall.PyObject_struct})
   @ PyCall ~/.julia/packages/PyCall/L0fLP/src/callback.jl:44>
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