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Code running on local Julia, but failing on CI tests with Ububtu_latest and Windows_latest #771

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andreasvarga opened this issue May 6, 2022 · 0 comments · Fixed by JuliaApproximation/ApproxFunBase.jl#95

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@andreasvarga
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The following code is running correctly on my machine

using LinearAlgebra
using ApproxFun
Af = Fun(t -> [0 1; -10*cos(t) -24-10*sin(t)],Fourier(0..2π));
D = Derivative(domain(Af));
ND = [D 0I; 0I D];
Aop = Af - ND;
NA = 322
RW = Aop[1:NA,1:NA]

resulting in a matrix as below


322×322 ApproxFunBase.RaggedMatrix{Float64}:
  0.0           0.0            1.0    0.0   0.0   0.0  0.0  0.0  …   0.0  0.0    0.0   0.0            0.0            0.0    0.0   0.0   0.0
  0.0           0.0            0.0    1.0   1.0   0.0  0.0  0.0      0.0  0.0    0.0   0.0            0.0            0.0    0.0   0.0   0.0
  5.76141e-16  -6.6615e-16   -24.0   -5.0  -5.0   0.0  0.0  0.0      0.0  0.0    0.0   0.0            0.0            0.0    0.0   0.0   0.0
 -1.3323e-15    5.76141e-16  -10.0  -24.0   0.0  -5.0  1.0  0.0      0.0  0.0    0.0   0.0            0.0            0.0    0.0   0.0   0.0
  0.0          -1.0            0.0    0.0   0.0   0.0  1.0  0.0      0.0  0.0    0.0   0.0            0.0            0.0    0.0   0.0   0.0
  ⋮                                               ⋮              ⋱               ⋮                                                ⋮    
  0.0           0.0            0.0    0.0   0.0   0.0  0.0  0.0      0.0  0.0  -79.0   5.76141e-16   -6.6615e-16   -24.0   -5.0  -5.0   0.0
  0.0           0.0            0.0    0.0   0.0   0.0  0.0  0.0     -5.0  0.0    0.0  -6.6615e-16     5.76141e-16   -5.0  -24.0   0.0  -5.0
  0.0           0.0            0.0    0.0   0.0   0.0  0.0  0.0  …   0.0  0.0    0.0   0.0          -80.0            0.0    0.0   0.0   0.0
  0.0           0.0            0.0    0.0   0.0   0.0  0.0  0.0      0.0  0.0    0.0   0.0            0.0            0.0    0.0   0.0   0.0

However, the same sequence fails on the Ubuntu_latest and Windows_latest CI test environments with both Julia 1.7.2 and Julia 1.8.0
with the following message

ERROR: LoadError: MethodError: no method matching blocks(::ApproxFunBase.InterlaceOperator{Float64, 2, ApproxFunBase.ArraySpace{ApproxFunBase.SumSpace{Tuple{ApproxFunFourier.CosSpace{ApproxFunFourier.PeriodicSegment{Float64}, Float64}, ApproxFunFourier.SinSpace{ApproxFunFourier.PeriodicSegment{Float64}, Float64}}, ApproxFunFourier.PeriodicSegment{Float64}, Float64}, 1, ApproxFunFourier.PeriodicSegment{Float64}, Float64}, ApproxFunBase.ArraySpace{ApproxFunBase.SumSpace{Tuple{ApproxFunFourier.CosSpace{ApproxFunFourier.PeriodicSegment{Float64}, Float64}, ApproxFunFourier.SinSpace{ApproxFunFourier.PeriodicSegment{Float64}, Float64}}, ApproxFunFourier.PeriodicSegment{Float64}, Float64}, 1, ApproxFunFourier.PeriodicSegment{Float64}, Float64}, ApproxFunBase.CachedIterator{Tuple{Int64, Int64}, ApproxFunBase.BlockInterlacer{Tuple{FillArrays.Fill{Int64, 1, Tuple{InfiniteArrays.OneToInf{Int64}}}, FillArrays.Fill{Int64, 1, Tuple{InfiniteArrays.OneToInf{Int64}}}}}}, ApproxFunBase.CachedIterator{Tuple{Int64, Int64}, ApproxFunBase.BlockInterlacer{Tuple{FillArrays.Fill{Int64, 1, Tuple{InfiniteArrays.OneToInf{Int64}}}, FillArrays.Fill{Int64, 1, Tuple{InfiniteArrays.OneToInf{Int64}}}}}}, Tuple{Infinities.RealInfinity, Infinities.InfiniteCardinal{0}}})
(see run information here)

I would appreciate any hint how to manage to run the tests without this error.

Additional information:

julia> versioninfo()
Julia Version 1.7.2
Commit bf53498635 (2022-02-06 15:21 UTC)
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-12.0.1 (ORCJIT, skylake)
Environment:
  JULIA_EDITOR = code
  JULIA_NUM_THREADS =
(@v1.7) pkg> status ApproxFun
      Status `C:\Users\Andreas\.julia\environments\v1.7\Project.toml`
  [28f2ccd6] ApproxFun v0.13.1

(@v1.7) pkg> status ApproxFunBase
      Status `C:\Users\Andreas\.julia\environments\v1.7\Project.toml`
  [fbd15aa5] ApproxFunBase v0.5.5
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