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Description
Describe the bug 🐞
Interpolating a smoothing B-spline on parametric data errors.
Expected behavior
I had expected it to work just as interpolating a parametric data set works for non smoothing interpolation.
Minimal Reproducible Example 👇
using StaticArrays, DataInterpolations
n = 10
t = Float64.(1:n)
u = rand(SVector{2, Float64}, n)
LinearInterpolation(u, t) # works!
BSplineApprox(u, t, 2, 3, :Uniform, :Uniform) # errors!Error & Stacktrace
ERROR: MethodError: no method matching ^(::SVector{2, Float64}, ::Int64)
The function `^` exists, but no method is defined for this combination of argument types.
Closest candidates are:
^(::Irrational{:ℯ}, ::Integer)
@ Base mathconstants.jl:139
^(::ForwardDiff.Dual{Tx}, ::Integer) where Tx
@ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/dual.jl:148
^(::Float32, ::Integer)
@ Base math.jl:1228
...
Stacktrace:
[1] literal_pow
@ ./intfuncs.jl:389 [inlined]
[2] BSplineApprox(u::Vector{…}, t::Vector{…}, d::Int64, h::Int64, pVecType::Symbol, knotVecType::Symbol; extrapolation::DataInterpolations.ExtrapolationType.T, extrapolation_left::DataInterpolations.ExtrapolationType.T, extrapolation_right::DataInterpolations.ExtrapolationType.T, assume_linear_t::Float64)
@ DataInterpolations ~/.julia/packages/DataInterpolations/r3oVa/src/interpolation_caches.jl:989
[3] BSplineApprox(u::Vector{SVector{2, Float64}}, t::Vector{Float64}, d::Int64, h::Int64, pVecType::Symbol, knotVecType::Symbol)
@ DataInterpolations ~/.julia/packages/DataInterpolations/r3oVa/src/interpolation_caches.jl:971
[4] top-level scope
@ REPL[13]:1
Some type information was truncated. Use `show(err)` to see complete types.Environment (please complete the following information):
- Output of
using Pkg; Pkg.status()
Status `/tmp/jl_HwR3uf/Project.toml`
[82cc6244] DataInterpolations v7.2.0
[90137ffa] StaticArrays v1.9.12
- Output of
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
Status `/tmp/jl_HwR3uf/Manifest.toml`
[bbf7d656] CommonSubexpressions v0.3.1
[a8cc5b0e] Crayons v4.1.1
[9a962f9c] DataAPI v1.16.0
[82cc6244] DataInterpolations v7.2.0
[e2d170a0] DataValueInterfaces v1.0.0
[163ba53b] DiffResults v1.1.0
[b552c78f] DiffRules v1.15.1
[ffbed154] DocStringExtensions v0.9.3
[4e289a0a] EnumX v1.0.4
[64ca27bc] FindFirstFunctions v1.4.1
[f6369f11] ForwardDiff v0.10.38
[92d709cd] IrrationalConstants v0.2.4
[82899510] IteratorInterfaceExtensions v1.0.0
[692b3bcd] JLLWrappers v1.7.0
[b964fa9f] LaTeXStrings v1.4.0
[2ab3a3ac] LogExpFunctions v0.3.29
[1914dd2f] MacroTools v0.5.15
[77ba4419] NaNMath v1.1.2
[bac558e1] OrderedCollections v1.8.0
[aea7be01] PrecompileTools v1.2.1
[21216c6a] Preferences v1.4.3
[08abe8d2] PrettyTables v2.4.0
[3cdcf5f2] RecipesBase v1.3.4
[189a3867] Reexport v1.2.2
[276daf66] SpecialFunctions v2.5.0
[90137ffa] StaticArrays v1.9.12
[1e83bf80] StaticArraysCore v1.4.3
[892a3eda] StringManipulation v0.4.1
[3783bdb8] TableTraits v1.0.1
[bd369af6] Tables v1.12.0
[efe28fd5] OpenSpecFun_jll v0.5.6+0
[56f22d72] Artifacts v1.11.0
[2a0f44e3] Base64 v1.11.0
[ade2ca70] Dates v1.11.0
[76f85450] LibGit2 v1.11.0
[8f399da3] Libdl v1.11.0
[37e2e46d] LinearAlgebra v1.11.0
[d6f4376e] Markdown v1.11.0
[ca575930] NetworkOptions v1.2.0
[de0858da] Printf v1.11.0
[9a3f8284] Random v1.11.0
[ea8e919c] SHA v0.7.0
[fa267f1f] TOML v1.0.3
[4ec0a83e] Unicode v1.11.0
[e66e0078] CompilerSupportLibraries_jll v1.1.1+0
[e37daf67] LibGit2_jll v1.7.2+0
[29816b5a] LibSSH2_jll v1.11.0+1
[c8ffd9c3] MbedTLS_jll v2.28.6+0
[4536629a] OpenBLAS_jll v0.3.27+1
[05823500] OpenLibm_jll v0.8.1+2
[8e850b90] libblastrampoline_jll v5.11.0+0
- Output of
versioninfo()
Julia Version 1.11.3
Commit d63adeda50d (2025-01-21 19:42 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 32 × AMD Ryzen Threadripper 2950X 16-Core Processor
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, znver1)
Threads: 32 default, 0 interactive, 16 GC (on 32 virtual cores)
Additional context
None.