Package evaluation to load CloughTocher2DInterpolation on Julia 1.14.0-DEV.2226 (797a5ef2b0*) started at 2026-05-23T20:23:50.819 ################################################################################ # Set-up # Set-up completed after 0.13s ################################################################################ # Installation # Installing CloughTocher2DInterpolation... Resolving package versions... Installed StaticArraysCore ──────────── v1.4.4 Installed CloughTocher2DInterpolation ─ v0.1.1 Installed QhullMiniWrapper_jll ──────── v1.0.0+1 Installed Qhull_jll ─────────────────── v8.0.1004+0 Installed MiniQhull ─────────────────── v0.4.0 Installed Preferences ───────────────── v1.5.2 Installed StaticArrays ──────────────── v1.9.18 Installed PrecompileTools ───────────── v1.3.4 Installed JLLWrappers ───────────────── v1.8.0 Installing 2 artifacts Installed artifact QhullMiniWrapper 4.1 KiB Installed artifact Qhull 2.5 MiB Updating `~/.julia/environments/v1.14/Project.toml` [b70b374f] + CloughTocher2DInterpolation v0.1.1 Updating `~/.julia/environments/v1.14/Manifest.toml` [b70b374f] + CloughTocher2DInterpolation v0.1.1 [692b3bcd] + JLLWrappers v1.8.0 [978d7f02] + MiniQhull v0.4.0 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [460c41e3] + QhullMiniWrapper_jll v1.0.0+1 ⌅ [784f63db] + Qhull_jll v8.0.1004+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0 [deac9b47] + LibCURL_jll v8.20.0+1 [e37daf67] + LibGit2_jll v1.9.3+0 [29816b5a] + LibSSH2_jll v1.11.101+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [4536629a] + OpenBLAS_jll v0.3.33+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 8.9s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Project No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml` Manifest No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml` Precompiling package dependencies... Precompiling project... 0.9 s ✓ StaticArraysCore 2.3 s ✓ Preferences 2.7 s ✓ JLLWrappers 2.3 s ✓ PrecompileTools 2.9 s ✓ Qhull_jll 295.4 s ✓ StaticArrays 3.0 s ✓ QhullMiniWrapper_jll 1.6 s ✓ MiniQhull ┌ Info: JuliaLowering threw given input: │ code = │ :(#= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:501 =# Core.@doc " CloughTocher2DInterpolator(points, values; kwargs...)\n\n\nSetup a Clough-Tocher 2D interpolator for a given cloud of `points` and `values`.\n\n`points` holds the data in \"component major order\". E.g. a single triangle with\npoints `(0,0), (1,0), (0,1)` is encoded as `points = [ 0,0, 1,0, 0,1 ]`.\n\nAvailable keyword arguments:\n- fill_value=NaN: Value used to fill in for requested points outside of the convex hull of the input points.\n- tol=1e-6: Tolerance for gradient estimation.\n- maxiter=400: Maximum number of iterations in gradient estimation.\n- rescale=false: Rescale points to unit cube before performing interpolation. This is useful if some of the input dimensions have incommensurable units and differ by many orders of magnitude.\n\n# Example\n\n```julia\npoints = [0,0, 0,1, 1,0, 1,1, 2,0, 2,1]\nipoints = [0.5,0.5, 1.5,0.5]\n\n# real\ndata = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# complex\ndata = [1.0+2.0im, 2.0+3.0im, 3.0-1.0im, 4.0-0.5im, 5.0-3.0im, 6.0+5.0im]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# interpolate data into preallocated array (will be resized if necessary)\nresult = zeros(eltype(data), length(data))\ninterp(ipoints, result)\n```\n" function CloughTocher2DInterpolator(points::AbstractMatrix, values::T; fill_value = NaN, tol = 1.0e-6, maxiter = 400, rescale = false) where T <: AbstractVector{<:Union{AbstractFloat, Complex{<:AbstractFloat}}} │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:537 =# │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:540 =# │ size_check(points) │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:541 =# │ if (size(points))[2] != length(values) │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:542 =# │ throw(ArgumentError("mismatch between number of points and values, found $((size(points))[2]) vs. $(length(values))")) │ end │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:545 =# │ (offset, scale) = if rescale │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:546 =# │ npoints = (size(points))[2] │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:547 =# │ offset = vec(sum(points, dims = 2)) ./ npoints │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:548 =# │ minmaxs = extrema(points, dims = 2) │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:549 =# │ scale = [(minmaxs[i])[2] - (minmaxs[i])[1] for i = 1:NDIM] │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:550 =# │ scale[scale .<= 0] .= 1.0 │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:552 =# │ points = (points .- offset) ./ scale │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:553 =# │ (offset, scale) │ else │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:555 =# │ ([0.0, 0.0], [1.0, 1.0]) │ end │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:558 =# │ info = DelaunayInfo(points) │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:559 =# │ grad = estimate_gradients_2d_global(info, values, maxiter, tol) │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:561 =# │ return CloughTocher2DInterpolator(info, values, grad, fill_value, offset, scale) │ end) │ st0 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source,__macro_ctx__ │ [macrocall] │ │ @doc :: Identifier │ mod │ :(#= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:501 =#) :: Value │ │ " CloughTocher2DInterpolator(points, values; kwargs...)\n\n\nSetup a Clough-Tocher 2D interpolator for a given cloud of `points` and `values`.\n\n`points` holds the data in \"component major order\". E.g. a single triangle with\npoints `(0,0), (1,0), (0,1)` is encoded as `points = [ 0,0, 1,0, 0,1 ]`.\n\nAvailable keyword arguments:\n- fill_value=NaN: Value used to fill in for requested points outside of the convex hull of the input points.\n- tol=1e-6: Tolerance for gradient estimation.\n- maxiter=400: Maximum number of iterations in gradient estimation.\n- rescale=false: Rescale points to unit cube before performing interpolation. This is useful if some of the input dimensions have incommensurable units and differ by many orders of magnitude.\n\n# Example\n\n```julia\npoints = [0,0, 0,1, 1,0, 1,1, 2,0, 2,1]\nipoints = [0.5,0.5, 1.5,0.5]\n\n# real\ndata = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# complex\ndata = [1.0+2.0im, 2.0+3.0im, 3.0-1.0im, 4.0-0.5im, 5.0-3.0im, 6.0+5.0im]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# interpolate data into preallocated array (will be resized if necessary)\nresult = zeros(eltype(data), length(data))\ninterp(ipoints, result)\n```\n" :: Value │ │ [function] │ │ [where] │ │ [call] │ │ CloughTocher2DInterpolator :: Identifier │ │ [parameters] │ │ [kw] │ │ fill_value :: Identifier │ │ NaN :: Identifier │ │ [kw] │ │ tol :: Identifier │ │ 1.0e-6 :: Value │ │ [kw] │ │ maxiter :: Identifier │ │ 400 :: Value │ │ [kw] │ │ rescale :: Identifier │ │ false :: Value │ │ [::] │ │ points :: Identifier │ │ AbstractMatrix :: Identifier │ │ [::] │ │ values :: Identifier │ │ T :: Identifier │ │ [<:] │ │ T :: Identifier │ │ [curly] │ │ AbstractVector :: Identifier │ │ [<:] │ │ [curly] │ │ Union :: Identifier │ │ AbstractFloat :: Identifier │ │ [curly] │ │ Complex :: Identifier │ │ [<:] │ │ AbstractFloat :: Identifier │ │ [block] │ │ [call] │ │ size_check :: Identifier │ │ points :: Identifier │ │ [if] │ │ [call] │ │ != :: Identifier │ │ [ref] │ │ [call] │ │ size :: Identifier │ │ points :: Identifier │ │ 2 :: Value │ │ [call] │ │ length :: Identifier │ │ values :: Identifier │ │ [block] │ │ [call] │ │ throw :: Identifier │ │ [call] │ │ ArgumentError :: Identifier │ │ [string] │ │ "mismatch between number of points and values, found " :: Value │ │ [ref] │ │ [call] │ │ size :: Identifier │ │ points :: Identifier │ │ 2 :: Value │ │ " vs. " :: Value │ │ [call] │ │ length :: Identifier │ │ values :: Identifier │ │ [=] │ │ [tuple] │ │ offset :: Identifier │ │ scale :: Identifier │ │ [if] │ │ rescale :: Identifier │ │ [block] │ │ [=] │ │ npoints :: Identifier │ │ [ref] │ │ [call] │ │ size :: Identifier │ │ points :: Identifier │ │ 2 :: Value │ │ [=] │ │ offset :: Identifier │ │ [call] │ │ ./ :: Identifier │ │ [call] │ │ vec :: Identifier │ │ [call] │ │ sum :: Identifier │ │ points :: Identifier │ │ [kw] │ │ dims :: Identifier │ │ 2 :: Value │ │ npoints :: Identifier │ │ [=] │ │ minmaxs :: Identifier │ │ [call] │ │ extrema :: Identifier │ │ points :: Identifier │ │ [kw] │ │ dims :: Identifier │ │ 2 :: Value │ │ [=] │ │ scale :: Identifier │ │ [comprehension] │ │ [generator] │ │ [call] │ │ - :: Identifier │ │ [ref] │ │ [ref] │ │ minmaxs :: Identifier │ │ i :: Identifier │ │ 2 :: Value │ │ [ref] │ │ [ref] │ │ minmaxs :: Identifier │ │ i :: Identifier │ │ 1 :: Value │ │ [=] │ │ i :: Identifier │ │ [call] │ │ : :: Identifier │ │ 1 :: Value │ │ NDIM :: Identifier │ │ [.=] │ │ [ref] │ │ scale :: Identifier │ │ [call] │ │ .<= :: Identifier │ │ scale :: Identifier │ │ 0 :: Value │ │ 1.0 :: Value │ │ [=] │ │ points :: Identifier │ │ [call] │ │ ./ :: Identifier │ │ [call] │ │ .- :: Identifier │ │ points :: Identifier │ │ offset :: Identifier │ │ scale :: Identifier │ │ [tuple] │ │ offset :: Identifier │ │ scale :: Identifier │ │ [block] │ │ [tuple] │ │ [vect] │ │ 0.0 :: Value │ │ 0.0 :: Value │ │ [vect] │ │ 1.0 :: Value │ │ 1.0 :: Value │ │ [=] │ │ info :: Identifier │ │ [call] │ │ DelaunayInfo :: Identifier │ │ points :: Identifier │ │ [=] │ │ grad :: Identifier │ │ [call] │ │ estimate_gradients_2d_global :: Identifier │ │ info :: Identifier │ │ values :: Identifier │ │ maxiter :: Identifier │ │ tol :: Identifier │ │ [return] │ │ [call] │ │ CloughTocher2DInterpolator :: Identifier │ │ info :: Identifier │ │ values :: Identifier │ │ grad :: Identifier │ │ fill_value :: Identifier │ │ offset :: Identifier │ │ scale :: Identifier │ │ │ st1 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source │ [block] │ │ [=] │ │ val :: Identifier │ scope_layer=3 │ [function] │ │ [where] │ │ [call] │ │ CloughTocher2DInterpolator :: Identifier │ scope_layer=1 │ [parameters] │ │ [kw] │ │ fill_value :: Identifier │ scope_layer=1 │ NaN :: Identifier │ scope_layer=1 │ [kw] │ │ tol :: Identifier │ scope_layer=1 │ 1.0e-6 :: Value │ macro_source=177 │ [kw] │ │ maxiter :: Identifier │ scope_layer=1 │ 400 :: Value │ macro_source=177 │ [kw] │ │ rescale :: Identifier │ scope_layer=1 │ false :: Value │ macro_source=177 │ [::] │ │ points :: Identifier │ scope_layer=1 │ AbstractMatrix :: Identifier │ scope_layer=1 │ [::] │ │ values :: Identifier │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [curly] │ │ AbstractVector :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ AbstractFloat :: Identifier │ scope_layer=1 │ [curly] │ │ Complex :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ AbstractFloat :: Identifier │ scope_layer=1 │ [block] │ │ [call] │ │ size_check :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ [if] │ │ [call] │ │ != :: Identifier │ scope_layer=1 │ [ref] │ │ [call] │ │ size :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ [call] │ │ length :: Identifier │ scope_layer=1 │ values :: Identifier │ scope_layer=1 │ [block] │ │ [call] │ │ throw :: Identifier │ scope_layer=1 │ [call] │ │ ArgumentError :: Identifier │ scope_layer=1 │ [string] │ │ "mismatch between number of points and values, found " :: Value │ macro_source=177 │ [ref] │ │ [call] │ │ size :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ " vs. " :: Value │ macro_source=177 │ [call] │ │ length :: Identifier │ scope_layer=1 │ values :: Identifier │ scope_layer=1 │ [=] │ │ [tuple] │ │ offset :: Identifier │ scope_layer=1 │ scale :: Identifier │ scope_layer=1 │ [if] │ │ rescale :: Identifier │ scope_layer=1 │ [block] │ │ [=] │ │ npoints :: Identifier │ scope_layer=1 │ [ref] │ │ [call] │ │ size :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ [=] │ │ offset :: Identifier │ scope_layer=1 │ [call] │ │ ./ :: Identifier │ scope_layer=1 │ [call] │ │ vec :: Identifier │ scope_layer=1 │ [call] │ │ sum :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ [kw] │ │ dims :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ npoints :: Identifier │ scope_layer=1 │ [=] │ │ minmaxs :: Identifier │ scope_layer=1 │ [call] │ │ extrema :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ [kw] │ │ dims :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ [=] │ │ scale :: Identifier │ scope_layer=1 │ [comprehension] │ │ [generator] │ │ [call] │ │ - :: Identifier │ scope_layer=1 │ [ref] │ │ [ref] │ │ minmaxs :: Identifier │ scope_layer=1 │ i :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ [ref] │ │ [ref] │ │ minmaxs :: Identifier │ scope_layer=1 │ i :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=177 │ [=] │ │ i :: Identifier │ scope_layer=1 │ [call] │ │ : :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=177 │ NDIM :: Identifier │ scope_layer=1 │ [.=] │ │ [ref] │ │ scale :: Identifier │ scope_layer=1 │ [call] │ │ .<= :: Identifier │ scope_layer=1 │ scale :: Identifier │ scope_layer=1 │ 0 :: Value │ macro_source=177 │ 1.0 :: Value │ macro_source=177 │ [=] │ │ points :: Identifier │ scope_layer=1 │ [call] │ │ ./ :: Identifier │ scope_layer=1 │ [call] │ │ .- :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ offset :: Identifier │ scope_layer=1 │ scale :: Identifier │ scope_layer=1 │ [tuple] │ │ offset :: Identifier │ scope_layer=1 │ scale :: Identifier │ scope_layer=1 │ [block] │ macro_source=177 │ [tuple] │ macro_source=177 │ [vect] │ macro_source=177 │ 0.0 :: Value │ macro_source=177 │ 0.0 :: Value │ macro_source=177 │ [vect] │ macro_source=177 │ 1.0 :: Value │ macro_source=177 │ 1.0 :: Value │ macro_source=177 │ [=] │ │ info :: Identifier │ scope_layer=1 │ [call] │ │ DelaunayInfo :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ [=] │ │ grad :: Identifier │ scope_layer=1 │ [call] │ │ estimate_gradients_2d_global :: Identifier │ scope_layer=1 │ info :: Identifier │ scope_layer=1 │ values :: Identifier │ scope_layer=1 │ maxiter :: Identifier │ scope_layer=1 │ tol :: Identifier │ scope_layer=1 │ [return] │ │ [call] │ │ CloughTocher2DInterpolator :: Identifier │ scope_layer=1 │ info :: Identifier │ scope_layer=1 │ values :: Identifier │ scope_layer=1 │ grad :: Identifier │ scope_layer=1 │ fill_value :: Identifier │ scope_layer=1 │ offset :: Identifier │ scope_layer=1 │ scale :: Identifier │ scope_layer=1 │ [call] │ │ Base.Docs.doc! :: Value │ macro_source=177 │ CloughTocher2DInterpolation :: Value │ macro_source=177 │ [call] │ │ Base.Docs.Binding :: Value │ macro_source=177 │ CloughTocher2DInterpolation :: Value │ │ [inert] │ jl_source=L65 │ CloughTocher2DInterpolator :: Identifier │ │ [call] │ macro_source=177 │ Base.Docs.docstr :: Value │ macro_source=177 │ [call] │ macro_source=177 │ Core.svec :: Value │ macro_source=177 │ " CloughTocher2DInterpolator(points, values; kwargs...)\n\n\nSetup a Clough-Tocher 2D interpolator for a given cloud of `points` and `values`.\n\n`points` holds the data in \"component major order\". E.g. a single triangle with\npoints `(0,0), (1,0), (0,1)` is encoded as `points = [ 0,0, 1,0, 0,1 ]`.\n\nAvailable keyword arguments:\n- fill_value=NaN: Value used to fill in for requested points outside of the convex hull of the input points.\n- tol=1e-6: Tolerance for gradient estimation.\n- maxiter=400: Maximum number of iterations in gradient estimation.\n- rescale=false: Rescale points to unit cube before performing interpolation. This is useful if some of the input dimensions have incommensurable units and differ by many orders of magnitude.\n\n# Example\n\n```julia\npoints = [0,0, 0,1, 1,0, 1,1, 2,0, 2,1]\nipoints = [0.5,0.5, 1.5,0.5]\n\n# real\ndata = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# complex\ndata = [1.0+2.0im, 2.0+3.0im, 3.0-1.0im, 4.0-0.5im, 5.0-3.0im, 6.0+5.0im]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# interpolate data into preallocated array (will be resized if necessary)\nresult = zeros(eltype(data), length(data))\ninterp(ipoints, result)\n```\n" :: Value │ macro_source=177 │ [call] │ macro_source=177 │ Dict{Symbol, Any} :: Value │ macro_source=177 │ :path => "/home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl" :: Value │ macro_source=177 │ :linenumber => 501 :: Value │ macro_source=177 │ :module => CloughTocher2DInterpolation :: Value │ macro_source=177 │ [where] │ │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ [curly] │ │ Tuple :: Identifier │ scope_layer=1 │ AbstractMatrix :: Identifier │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [curly] │ │ Tuple :: Identifier │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [curly] │ │ AbstractVector :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ AbstractFloat :: Identifier │ scope_layer=1 │ [curly] │ │ Complex :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ AbstractFloat :: Identifier │ scope_layer=1 │ val :: Identifier │ scope_layer=3 │ │ file = "/home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl" │ line = 501 └ mod = CloughTocher2DInterpolation ERROR: LoadError: internal lowering bug: #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:537 =# - `jl_assert(!(haskey(ssa_rewrites, lhs_id)), _)`: multiple assignments to ssavalue Expression:  (= #₃ (call core.TypeVar :#T1 #₁₉₉/AbstractFloat)) Containing expressions:  (= #₃ (call core.TypeVar :#T1 #₁₉₉/AbstractFloat))  Detailed provenance:  (= #₃ (call core.TypeVar :#T1 #₁₉₉/AbstractFloat)) @#= /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:366 =#  └─ (= #₃ (call core.TypeVar :#T1 #₂₈/AbstractFloat)) @#= /source/usr/share/julia/JuliaLowering/src/closure_conversion.jl:197 =#  └─ (= #₃ (call core.TypeVar :#T1 #₂₈/AbstractFloat)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₃ (call core.TypeVar :#T1 AbstractFloat)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₃ (call core.TypeVar :#T1 AbstractFloat))  └─ (call core.TypeVar :#T1 AbstractFloat) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:3025 =#  └─ (<: AbstractFloat)  └─ (<: AbstractFloat)  └─ (<: AbstractFloat)  └─ (<: AbstractFloat)  ├─ @ /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:537  └─ (macrocall @doc :(#= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:501 =#) " CloughTocher2DInterpolator(points, values; kwargs...)\n\n\nSetup a Clough-Tocher 2D interpolator for a given cloud of `points` and `values`.\n\n`points` holds the data in \"component major order\". E.g. a single triangle with\npoints `(0,0), (1,0), (0,1)` is encoded as `points = [ 0,0, 1,0, 0,1 ]`.\n\nAvailable keyword arguments:\n- fill_value=NaN: Value used to fill in for requested points outside of the convex hull of the input points.\n- tol=1e-6: Tolerance for gradient estimation.\n- maxiter=400: Maximum number of iterations in gradient estimation.\n- rescale=false: Rescale points to unit cube before performing interpolation. This is useful if some of the input dimensions have incommensurable units and differ by many orders of magnitude.\n\n# Example\n\n```julia\npoints = [0,0, 0,1, 1,0, 1,1, 2,0, 2,1]\nipoints = [0.5,0.5, 1.5,0.5]\n\n# real\ndata = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# complex\ndata = [1.0+2.0im, 2.0+3.0im, 3.0-1.0im, 4.0-0.5im, 5.0-3.0im, 6.0+5.0im]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# interpolate data into preallocated array (will be resized if necessary)\nresult = zeros(eltype(data), length(data))\ninterp(ipoints, result)\n```\n" (function (where (call CloughTocher2DInterpolator (parameters (kw fill_value NaN) (kw tol 1.0e-6) (kw maxiter 400) (kw rescale false)) (:: points AbstractMatrix) (:: values T)) (<: T (curly AbstractVector (<: (curly Union AbstractFloat (curly Complex (<: AbstractFloat))))))) (block (call size_check points) (if (call != (ref (call size points) 2) (call length values)) (block (call throw (call ArgumentError (string "mismatch between number of points and values, found " (ref (call size points) 2) " vs. " (call length values)))))) (= (tuple offset scale) (if rescale (block (= npoints (ref (call size points) 2)) (= offset (call ./ (call vec (call sum points (kw dims 2))) npoints)) (= minmaxs (call extrema points (kw dims 2))) (= scale (comprehension (generator (call - (ref (ref minmaxs i) 2) (ref (ref minmaxs i) 1)) (= i (call : 1 NDIM))))) (.= (ref scale (call .<= scale 0)) 1.0) (= points (call ./ (call .- points offset) scale)) (tuple offset scale)) (block (tuple (vect 0.0 0.0) (vect 1.0 1.0))))) (= info (call DelaunayInfo points)) (= grad (call estimate_gradients_2d_global info values maxiter tol)) (return (call CloughTocher2DInterpolator info values grad fill_value offset scale)))))  └─ @ /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:501  Stacktrace:  [1] iterate(A::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}})  @ Base /source/usr/share/julia/JuliaLowering/src/ast.jl:23 [inlined]  [2] renumber_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, input_code::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}}, slot_rewrites::Dict{Int64, Int64})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1106  [3] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1223  [4] linearize_ir(ctx::Base.JuliaLowering.ClosureConversionCtx{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1253  [5] core_lowering_hook(code::Any, mod::Module, file::String, line::UInt64, world::UInt64, _warn::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/hooks.jl:33  [6] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [7] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3271  [8] top-level scope  @ stdin:5  [9] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [10] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [11] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [12] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:353  [13] _start()  @ Base ./client.jl:596 in expression starting at /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:1 in expression starting at stdin:5 ✗ CloughTocher2DInterpolation 8 dependencies successfully precompiled in 350 seconds. 27 already precompiled. Precompilation completed after 368.25s ################################################################################ # Loading # Loading CloughTocher2DInterpolation... ┌ Info: JuliaLowering threw given input: │ code = │ :(#= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:501 =# Core.@doc " CloughTocher2DInterpolator(points, values; kwargs...)\n\n\nSetup a Clough-Tocher 2D interpolator for a given cloud of `points` and `values`.\n\n`points` holds the data in \"component major order\". E.g. a single triangle with\npoints `(0,0), (1,0), (0,1)` is encoded as `points = [ 0,0, 1,0, 0,1 ]`.\n\nAvailable keyword arguments:\n- fill_value=NaN: Value used to fill in for requested points outside of the convex hull of the input points.\n- tol=1e-6: Tolerance for gradient estimation.\n- maxiter=400: Maximum number of iterations in gradient estimation.\n- rescale=false: Rescale points to unit cube before performing interpolation. This is useful if some of the input dimensions have incommensurable units and differ by many orders of magnitude.\n\n# Example\n\n```julia\npoints = [0,0, 0,1, 1,0, 1,1, 2,0, 2,1]\nipoints = [0.5,0.5, 1.5,0.5]\n\n# real\ndata = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# complex\ndata = [1.0+2.0im, 2.0+3.0im, 3.0-1.0im, 4.0-0.5im, 5.0-3.0im, 6.0+5.0im]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# interpolate data into preallocated array (will be resized if necessary)\nresult = zeros(eltype(data), length(data))\ninterp(ipoints, result)\n```\n" function CloughTocher2DInterpolator(points::AbstractMatrix, values::T; fill_value = NaN, tol = 1.0e-6, maxiter = 400, rescale = false) where T <: AbstractVector{<:Union{AbstractFloat, Complex{<:AbstractFloat}}} │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:537 =# │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:540 =# │ size_check(points) │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:541 =# │ if (size(points))[2] != length(values) │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:542 =# │ throw(ArgumentError("mismatch between number of points and values, found $((size(points))[2]) vs. $(length(values))")) │ end │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:545 =# │ (offset, scale) = if rescale │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:546 =# │ npoints = (size(points))[2] │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:547 =# │ offset = vec(sum(points, dims = 2)) ./ npoints │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:548 =# │ minmaxs = extrema(points, dims = 2) │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:549 =# │ scale = [(minmaxs[i])[2] - (minmaxs[i])[1] for i = 1:NDIM] │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:550 =# │ scale[scale .<= 0] .= 1.0 │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:552 =# │ points = (points .- offset) ./ scale │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:553 =# │ (offset, scale) │ else │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:555 =# │ ([0.0, 0.0], [1.0, 1.0]) │ end │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:558 =# │ info = DelaunayInfo(points) │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:559 =# │ grad = estimate_gradients_2d_global(info, values, maxiter, tol) │ #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:561 =# │ return CloughTocher2DInterpolator(info, values, grad, fill_value, offset, scale) │ end) │ st0 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source,__macro_ctx__ │ [macrocall] │ │ @doc :: Identifier │ mod │ :(#= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:501 =#) :: Value │ │ " CloughTocher2DInterpolator(points, values; kwargs...)\n\n\nSetup a Clough-Tocher 2D interpolator for a given cloud of `points` and `values`.\n\n`points` holds the data in \"component major order\". E.g. a single triangle with\npoints `(0,0), (1,0), (0,1)` is encoded as `points = [ 0,0, 1,0, 0,1 ]`.\n\nAvailable keyword arguments:\n- fill_value=NaN: Value used to fill in for requested points outside of the convex hull of the input points.\n- tol=1e-6: Tolerance for gradient estimation.\n- maxiter=400: Maximum number of iterations in gradient estimation.\n- rescale=false: Rescale points to unit cube before performing interpolation. This is useful if some of the input dimensions have incommensurable units and differ by many orders of magnitude.\n\n# Example\n\n```julia\npoints = [0,0, 0,1, 1,0, 1,1, 2,0, 2,1]\nipoints = [0.5,0.5, 1.5,0.5]\n\n# real\ndata = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# complex\ndata = [1.0+2.0im, 2.0+3.0im, 3.0-1.0im, 4.0-0.5im, 5.0-3.0im, 6.0+5.0im]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# interpolate data into preallocated array (will be resized if necessary)\nresult = zeros(eltype(data), length(data))\ninterp(ipoints, result)\n```\n" :: Value │ │ [function] │ │ [where] │ │ [call] │ │ CloughTocher2DInterpolator :: Identifier │ │ [parameters] │ │ [kw] │ │ fill_value :: Identifier │ │ NaN :: Identifier │ │ [kw] │ │ tol :: Identifier │ │ 1.0e-6 :: Value │ │ [kw] │ │ maxiter :: Identifier │ │ 400 :: Value │ │ [kw] │ │ rescale :: Identifier │ │ false :: Value │ │ [::] │ │ points :: Identifier │ │ AbstractMatrix :: Identifier │ │ [::] │ │ values :: Identifier │ │ T :: Identifier │ │ [<:] │ │ T :: Identifier │ │ [curly] │ │ AbstractVector :: Identifier │ │ [<:] │ │ [curly] │ │ Union :: Identifier │ │ AbstractFloat :: Identifier │ │ [curly] │ │ Complex :: Identifier │ │ [<:] │ │ AbstractFloat :: Identifier │ │ [block] │ │ [call] │ │ size_check :: Identifier │ │ points :: Identifier │ │ [if] │ │ [call] │ │ != :: Identifier │ │ [ref] │ │ [call] │ │ size :: Identifier │ │ points :: Identifier │ │ 2 :: Value │ │ [call] │ │ length :: Identifier │ │ values :: Identifier │ │ [block] │ │ [call] │ │ throw :: Identifier │ │ [call] │ │ ArgumentError :: Identifier │ │ [string] │ │ "mismatch between number of points and values, found " :: Value │ │ [ref] │ │ [call] │ │ size :: Identifier │ │ points :: Identifier │ │ 2 :: Value │ │ " vs. " :: Value │ │ [call] │ │ length :: Identifier │ │ values :: Identifier │ │ [=] │ │ [tuple] │ │ offset :: Identifier │ │ scale :: Identifier │ │ [if] │ │ rescale :: Identifier │ │ [block] │ │ [=] │ │ npoints :: Identifier │ │ [ref] │ │ [call] │ │ size :: Identifier │ │ points :: Identifier │ │ 2 :: Value │ │ [=] │ │ offset :: Identifier │ │ [call] │ │ ./ :: Identifier │ │ [call] │ │ vec :: Identifier │ │ [call] │ │ sum :: Identifier │ │ points :: Identifier │ │ [kw] │ │ dims :: Identifier │ │ 2 :: Value │ │ npoints :: Identifier │ │ [=] │ │ minmaxs :: Identifier │ │ [call] │ │ extrema :: Identifier │ │ points :: Identifier │ │ [kw] │ │ dims :: Identifier │ │ 2 :: Value │ │ [=] │ │ scale :: Identifier │ │ [comprehension] │ │ [generator] │ │ [call] │ │ - :: Identifier │ │ [ref] │ │ [ref] │ │ minmaxs :: Identifier │ │ i :: Identifier │ │ 2 :: Value │ │ [ref] │ │ [ref] │ │ minmaxs :: Identifier │ │ i :: Identifier │ │ 1 :: Value │ │ [=] │ │ i :: Identifier │ │ [call] │ │ : :: Identifier │ │ 1 :: Value │ │ NDIM :: Identifier │ │ [.=] │ │ [ref] │ │ scale :: Identifier │ │ [call] │ │ .<= :: Identifier │ │ scale :: Identifier │ │ 0 :: Value │ │ 1.0 :: Value │ │ [=] │ │ points :: Identifier │ │ [call] │ │ ./ :: Identifier │ │ [call] │ │ .- :: Identifier │ │ points :: Identifier │ │ offset :: Identifier │ │ scale :: Identifier │ │ [tuple] │ │ offset :: Identifier │ │ scale :: Identifier │ │ [block] │ │ [tuple] │ │ [vect] │ │ 0.0 :: Value │ │ 0.0 :: Value │ │ [vect] │ │ 1.0 :: Value │ │ 1.0 :: Value │ │ [=] │ │ info :: Identifier │ │ [call] │ │ DelaunayInfo :: Identifier │ │ points :: Identifier │ │ [=] │ │ grad :: Identifier │ │ [call] │ │ estimate_gradients_2d_global :: Identifier │ │ info :: Identifier │ │ values :: Identifier │ │ maxiter :: Identifier │ │ tol :: Identifier │ │ [return] │ │ [call] │ │ CloughTocher2DInterpolator :: Identifier │ │ info :: Identifier │ │ values :: Identifier │ │ grad :: Identifier │ │ fill_value :: Identifier │ │ offset :: Identifier │ │ scale :: Identifier │ │ │ st1 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source │ [block] │ │ [=] │ │ val :: Identifier │ scope_layer=3 │ [function] │ │ [where] │ │ [call] │ │ CloughTocher2DInterpolator :: Identifier │ scope_layer=1 │ [parameters] │ │ [kw] │ │ fill_value :: Identifier │ scope_layer=1 │ NaN :: Identifier │ scope_layer=1 │ [kw] │ │ tol :: Identifier │ scope_layer=1 │ 1.0e-6 :: Value │ macro_source=177 │ [kw] │ │ maxiter :: Identifier │ scope_layer=1 │ 400 :: Value │ macro_source=177 │ [kw] │ │ rescale :: Identifier │ scope_layer=1 │ false :: Value │ macro_source=177 │ [::] │ │ points :: Identifier │ scope_layer=1 │ AbstractMatrix :: Identifier │ scope_layer=1 │ [::] │ │ values :: Identifier │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [curly] │ │ AbstractVector :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ AbstractFloat :: Identifier │ scope_layer=1 │ [curly] │ │ Complex :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ AbstractFloat :: Identifier │ scope_layer=1 │ [block] │ │ [call] │ │ size_check :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ [if] │ │ [call] │ │ != :: Identifier │ scope_layer=1 │ [ref] │ │ [call] │ │ size :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ [call] │ │ length :: Identifier │ scope_layer=1 │ values :: Identifier │ scope_layer=1 │ [block] │ │ [call] │ │ throw :: Identifier │ scope_layer=1 │ [call] │ │ ArgumentError :: Identifier │ scope_layer=1 │ [string] │ │ "mismatch between number of points and values, found " :: Value │ macro_source=177 │ [ref] │ │ [call] │ │ size :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ " vs. " :: Value │ macro_source=177 │ [call] │ │ length :: Identifier │ scope_layer=1 │ values :: Identifier │ scope_layer=1 │ [=] │ │ [tuple] │ │ offset :: Identifier │ scope_layer=1 │ scale :: Identifier │ scope_layer=1 │ [if] │ │ rescale :: Identifier │ scope_layer=1 │ [block] │ │ [=] │ │ npoints :: Identifier │ scope_layer=1 │ [ref] │ │ [call] │ │ size :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ [=] │ │ offset :: Identifier │ scope_layer=1 │ [call] │ │ ./ :: Identifier │ scope_layer=1 │ [call] │ │ vec :: Identifier │ scope_layer=1 │ [call] │ │ sum :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ [kw] │ │ dims :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ npoints :: Identifier │ scope_layer=1 │ [=] │ │ minmaxs :: Identifier │ scope_layer=1 │ [call] │ │ extrema :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ [kw] │ │ dims :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ [=] │ │ scale :: Identifier │ scope_layer=1 │ [comprehension] │ │ [generator] │ │ [call] │ │ - :: Identifier │ scope_layer=1 │ [ref] │ │ [ref] │ │ minmaxs :: Identifier │ scope_layer=1 │ i :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=177 │ [ref] │ │ [ref] │ │ minmaxs :: Identifier │ scope_layer=1 │ i :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=177 │ [=] │ │ i :: Identifier │ scope_layer=1 │ [call] │ │ : :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=177 │ NDIM :: Identifier │ scope_layer=1 │ [.=] │ │ [ref] │ │ scale :: Identifier │ scope_layer=1 │ [call] │ │ .<= :: Identifier │ scope_layer=1 │ scale :: Identifier │ scope_layer=1 │ 0 :: Value │ macro_source=177 │ 1.0 :: Value │ macro_source=177 │ [=] │ │ points :: Identifier │ scope_layer=1 │ [call] │ │ ./ :: Identifier │ scope_layer=1 │ [call] │ │ .- :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ offset :: Identifier │ scope_layer=1 │ scale :: Identifier │ scope_layer=1 │ [tuple] │ │ offset :: Identifier │ scope_layer=1 │ scale :: Identifier │ scope_layer=1 │ [block] │ macro_source=177 │ [tuple] │ macro_source=177 │ [vect] │ macro_source=177 │ 0.0 :: Value │ macro_source=177 │ 0.0 :: Value │ macro_source=177 │ [vect] │ macro_source=177 │ 1.0 :: Value │ macro_source=177 │ 1.0 :: Value │ macro_source=177 │ [=] │ │ info :: Identifier │ scope_layer=1 │ [call] │ │ DelaunayInfo :: Identifier │ scope_layer=1 │ points :: Identifier │ scope_layer=1 │ [=] │ │ grad :: Identifier │ scope_layer=1 │ [call] │ │ estimate_gradients_2d_global :: Identifier │ scope_layer=1 │ info :: Identifier │ scope_layer=1 │ values :: Identifier │ scope_layer=1 │ maxiter :: Identifier │ scope_layer=1 │ tol :: Identifier │ scope_layer=1 │ [return] │ │ [call] │ │ CloughTocher2DInterpolator :: Identifier │ scope_layer=1 │ info :: Identifier │ scope_layer=1 │ values :: Identifier │ scope_layer=1 │ grad :: Identifier │ scope_layer=1 │ fill_value :: Identifier │ scope_layer=1 │ offset :: Identifier │ scope_layer=1 │ scale :: Identifier │ scope_layer=1 │ [call] │ │ Base.Docs.doc! :: Value │ macro_source=177 │ CloughTocher2DInterpolation :: Value │ macro_source=177 │ [call] │ │ Base.Docs.Binding :: Value │ macro_source=177 │ CloughTocher2DInterpolation :: Value │ │ [inert] │ jl_source=L65 │ CloughTocher2DInterpolator :: Identifier │ │ [call] │ macro_source=177 │ Base.Docs.docstr :: Value │ macro_source=177 │ [call] │ macro_source=177 │ Core.svec :: Value │ macro_source=177 │ " CloughTocher2DInterpolator(points, values; kwargs...)\n\n\nSetup a Clough-Tocher 2D interpolator for a given cloud of `points` and `values`.\n\n`points` holds the data in \"component major order\". E.g. a single triangle with\npoints `(0,0), (1,0), (0,1)` is encoded as `points = [ 0,0, 1,0, 0,1 ]`.\n\nAvailable keyword arguments:\n- fill_value=NaN: Value used to fill in for requested points outside of the convex hull of the input points.\n- tol=1e-6: Tolerance for gradient estimation.\n- maxiter=400: Maximum number of iterations in gradient estimation.\n- rescale=false: Rescale points to unit cube before performing interpolation. This is useful if some of the input dimensions have incommensurable units and differ by many orders of magnitude.\n\n# Example\n\n```julia\npoints = [0,0, 0,1, 1,0, 1,1, 2,0, 2,1]\nipoints = [0.5,0.5, 1.5,0.5]\n\n# real\ndata = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# complex\ndata = [1.0+2.0im, 2.0+3.0im, 3.0-1.0im, 4.0-0.5im, 5.0-3.0im, 6.0+5.0im]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# interpolate data into preallocated array (will be resized if necessary)\nresult = zeros(eltype(data), length(data))\ninterp(ipoints, result)\n```\n" :: Value │ macro_source=177 │ [call] │ macro_source=177 │ Dict{Symbol, Any} :: Value │ macro_source=177 │ :path => "/home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl" :: Value │ macro_source=177 │ :linenumber => 501 :: Value │ macro_source=177 │ :module => CloughTocher2DInterpolation :: Value │ macro_source=177 │ [where] │ │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ [curly] │ │ Tuple :: Identifier │ scope_layer=1 │ AbstractMatrix :: Identifier │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [curly] │ │ Tuple :: Identifier │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [curly] │ │ AbstractVector :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ AbstractFloat :: Identifier │ scope_layer=1 │ [curly] │ │ Complex :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ AbstractFloat :: Identifier │ scope_layer=1 │ val :: Identifier │ scope_layer=3 │ │ file = "/home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl" │ line = 501 └ mod = CloughTocher2DInterpolation ERROR: LoadError: internal lowering bug: #= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:537 =# - `jl_assert(!(haskey(ssa_rewrites, lhs_id)), _)`: multiple assignments to ssavalue Expression:  (= #₃ (call core.TypeVar :#T1 #₁₉₉/AbstractFloat)) Containing expressions:  (= #₃ (call core.TypeVar :#T1 #₁₉₉/AbstractFloat))  Detailed provenance:  (= #₃ (call core.TypeVar :#T1 #₁₉₉/AbstractFloat)) @#= /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:366 =#  └─ (= #₃ (call core.TypeVar :#T1 #₂₈/AbstractFloat)) @#= /source/usr/share/julia/JuliaLowering/src/closure_conversion.jl:197 =#  └─ (= #₃ (call core.TypeVar :#T1 #₂₈/AbstractFloat)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₃ (call core.TypeVar :#T1 AbstractFloat)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₃ (call core.TypeVar :#T1 AbstractFloat))  └─ (call core.TypeVar :#T1 AbstractFloat) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:3025 =#  └─ (<: AbstractFloat)  └─ (<: AbstractFloat)  └─ (<: AbstractFloat)  └─ (<: AbstractFloat)  ├─ @ /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:537  └─ (macrocall @doc :(#= /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:501 =#) " CloughTocher2DInterpolator(points, values; kwargs...)\n\n\nSetup a Clough-Tocher 2D interpolator for a given cloud of `points` and `values`.\n\n`points` holds the data in \"component major order\". E.g. a single triangle with\npoints `(0,0), (1,0), (0,1)` is encoded as `points = [ 0,0, 1,0, 0,1 ]`.\n\nAvailable keyword arguments:\n- fill_value=NaN: Value used to fill in for requested points outside of the convex hull of the input points.\n- tol=1e-6: Tolerance for gradient estimation.\n- maxiter=400: Maximum number of iterations in gradient estimation.\n- rescale=false: Rescale points to unit cube before performing interpolation. This is useful if some of the input dimensions have incommensurable units and differ by many orders of magnitude.\n\n# Example\n\n```julia\npoints = [0,0, 0,1, 1,0, 1,1, 2,0, 2,1]\nipoints = [0.5,0.5, 1.5,0.5]\n\n# real\ndata = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# complex\ndata = [1.0+2.0im, 2.0+3.0im, 3.0-1.0im, 4.0-0.5im, 5.0-3.0im, 6.0+5.0im]\ninterp = CloughTocher2DInterpolator(points, data)\ninterp(ipoints)\n\n# interpolate data into preallocated array (will be resized if necessary)\nresult = zeros(eltype(data), length(data))\ninterp(ipoints, result)\n```\n" (function (where (call CloughTocher2DInterpolator (parameters (kw fill_value NaN) (kw tol 1.0e-6) (kw maxiter 400) (kw rescale false)) (:: points AbstractMatrix) (:: values T)) (<: T (curly AbstractVector (<: (curly Union AbstractFloat (curly Complex (<: AbstractFloat))))))) (block (call size_check points) (if (call != (ref (call size points) 2) (call length values)) (block (call throw (call ArgumentError (string "mismatch between number of points and values, found " (ref (call size points) 2) " vs. " (call length values)))))) (= (tuple offset scale) (if rescale (block (= npoints (ref (call size points) 2)) (= offset (call ./ (call vec (call sum points (kw dims 2))) npoints)) (= minmaxs (call extrema points (kw dims 2))) (= scale (comprehension (generator (call - (ref (ref minmaxs i) 2) (ref (ref minmaxs i) 1)) (= i (call : 1 NDIM))))) (.= (ref scale (call .<= scale 0)) 1.0) (= points (call ./ (call .- points offset) scale)) (tuple offset scale)) (block (tuple (vect 0.0 0.0) (vect 1.0 1.0))))) (= info (call DelaunayInfo points)) (= grad (call estimate_gradients_2d_global info values maxiter tol)) (return (call CloughTocher2DInterpolator info values grad fill_value offset scale)))))  └─ @ /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:501  Stacktrace:  [1] iterate(A::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}})  @ Base /source/usr/share/julia/JuliaLowering/src/ast.jl:23 [inlined]  [2] renumber_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, input_code::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}}, slot_rewrites::Dict{Int64, Int64})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1106  [3] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1223  [4] linearize_ir(ctx::Base.JuliaLowering.ClosureConversionCtx{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1253  [5] core_lowering_hook(code::Any, mod::Module, file::String, line::UInt64, world::UInt64, _warn::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/hooks.jl:33  [6] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [7] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3271  [8] top-level scope  @ stdin:5  [9] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [10] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [11] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [12] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:353  [13] _start()  @ Base ./client.jl:596 in expression starting at /home/pkgeval/.julia/packages/CloughTocher2DInterpolation/ojjPj/src/CloughTocher2DInterpolation.jl:1 in expression starting at stdin:5 1 dependency had output during precompilation: ┌ CloughTocher2DInterpolation │ [Output was shown above] └ ERROR: The following 1 package failed to precompile: CloughTocher2DInterpolation Failed to precompile CloughTocher2DInterpolation [b70b374f-000b-463f-88dc-37030f004bd0] to "/home/pkgeval/.julia/compiled/v1.14/CloughTocher2DInterpolation/jl_hsuv31" (ProcessExited(1)). Loading failed after 47.25s ERROR: LoadError: failed process: Process(`/opt/julia/bin/julia -C native -J/opt/julia/lib/julia/sys.so -g1 --check-bounds=yes --inline=yes --check-bounds=yes --pkgimages=existing -e 'using CloughTocher2DInterpolation'`, ProcessExited(1)) [1] Stacktrace: [1] spawn_opts_inherit() @ Base ./process.jl:612 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:525 [3] run(::Cmd) @ Base ./process.jl:522 [4] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:197 [5] include(mod::Module, _path::String) @ Base ./Base.jl:326 [6] exec_options(opts::Base.JLOptions) @ Base ./client.jl:355 [7] _start() @ Base ./client.jl:596 in expression starting at /PkgEval.jl/scripts/evaluate.jl:188 PkgEval failed after 445.49s: package fails to precompile