BSpline error in docs

[macmyn]

[```][https://juliamath.github.io/Interpolations.jl/stable/control/#Scaled-BSplines]

A_x = 1.:2.:40.
A = [log(x) for x in A_x]
itp = interpolate(A, BSpline(Cubic(Line(OnGrid()))))
sitp = scale(itp, A_x)
sitp(3.) # exactly log(3.)
sitp(3.5) # approximately log(3.5)

returns

20-element interpolate(OffsetArray(::Vector{Float64}, 0:21), BSpline(Cubic(Line(OnGrid())))) with element type Float64:
Error showing value of type Interpolations.BSplineInterpolation{Float64, 1, OffsetArrays.OffsetVector{Float64, Vector{Float64}}, BSpline{Cubic{Line{OnGrid}}}, Tuple{Base.OneTo{Int64}}}:
ERROR: BoundsError: attempt to access Tuple{} at index [1]

[mkitti]

This seems to work fine for me. What versions of Interpolations.jl are you using?

julia> using Interpolations

julia> A_x = 1.:2.:40.
1.0:2.0:39.0

julia> A = [log(x) for x in A_x]
20-element Vector{Float64}:
 0.0
 1.0986122886681098
 1.6094379124341003
 1.9459101490553132
 2.1972245773362196
 2.3978952727983707
 2.5649493574615367
 2.70805020110221
 2.833213344056216
 2.9444389791664403
 3.044522437723423
 3.1354942159291497
 3.2188758248682006
 3.295836866004329
 3.367295829986474
 3.4339872044851463
 3.4965075614664802
 3.5553480614894135
 3.6109179126442243
 3.6635616461296463

julia> itp = interpolate(A, BSpline(Cubic(Line(OnGrid()))))
20-element interpolate(OffsetArray(::Vector{Float64}, 0:21), BSpline(Cubic(Line(OnGrid())))) with element type Float64:
 0.0
 1.0986122886681098
 1.6094379124341
 1.9459101490553135
 2.19722457733622
 2.3978952727983707
 2.564949357461537
 2.7080502011022105
 2.8332133440562166
 2.9444389791664407
 3.0445224377234226
 3.1354942159291492
 3.218875824868201
 3.295836866004329
 3.367295829986474
 3.4339872044851467
 3.4965075614664802
 3.5553480614894135
 3.6109179126442243
 3.6635616461296463

julia> sitp = scale(itp, A_x)
20-element scale(interpolate(OffsetArray(::Vector{Float64}, 0:21), BSpline(Cubic(Line(OnGrid())))), (1.0:2.0:39.0,)) with element type Float64:
 -5.551115123125783e-17
  1.0986122886681098
  1.6094379124341
  1.9459101490553135
  2.1972245773362196
  2.3978952727983707
  2.5649493574615367
  2.70805020110221
  2.8332133440562166
  2.9444389791664407
  3.0445224377234226
  3.1354942159291492
  3.218875824868201
  3.295836866004329
  3.3672958299864737
  3.4339872044851463
  3.4965075614664802
  3.5553480614894135
  3.610917912644224
  3.6635616461296463

julia> sitp(3.) # exactly log(3.)
1.0986122886681098

julia> sitp(3.5) # approximately log(3.5)
1.2748716241925298

What is the output of the following in your environment?

using Pkg
Pkg.status("Interpolations")