ranocha / PolynomialBases.jl / 26867244636

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14.29
/ext/PolynomialBasesSymPyPythonCallExt.jl
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module PolynomialBasesSymPyPythonCallExt
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using PolynomialBases: PolynomialBases










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using SymPyPythonCall: SymPyPythonCall










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# SymPyPythonCall.Sym is the UnionAll Sym{T} where T; the concrete type










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# used at runtime is Sym{PythonCall.Py}.










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# This mirrors the pattern used in BSeries.jl.










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const _Sym = SymPyPythonCall.Sym{SymPyPythonCall.PythonCall.Core.Py}










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include("general_symbolic_extension.jl")










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function PolynomialBases.interpolation_matrix!(mat, dest, src::AbstractVector{<:SymPyPythonCall.Sym}, baryweights)




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    symbolic_interpolation_matrix!(mat, dest, src, baryweights, SymPyPythonCall.simplify)




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end










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PolynomialBases.LobattoLegendre(p::Int, ::Type{<:SymPyPythonCall.Sym}) = symbolic_lobatto_legendre(p, _Sym, SymPyPythonCall.simplify)




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PolynomialBases.GaussLegendre(p::Int, ::Type{<:SymPyPythonCall.Sym}) = symbolic_gauss_legendre(p, _Sym, SymPyPythonCall.simplify)




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PolynomialBases.GaussRadauLeft(p::Int, ::Type{<:SymPyPythonCall.Sym}) = symbolic_gauss_radau_left(p, _Sym, SymPyPythonCall.simplify)




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PolynomialBases.GaussRadauRight(p::Int, ::Type{<:SymPyPythonCall.Sym}) = symbolic_gauss_radau_right(p, _Sym, SymPyPythonCall.simplify)




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end # module
























    

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