FFTW
has me thoroughly confused. Consider the following code:
using FFTW
fft(rand(10))
module Testing
using FFTW
f() = fft(rand(10))
export f
end
using .Testing
f()
The fft
in the global scope works just fine. However, f
errors with
ERROR: LoadError: MethodError: no method matching plan_fft!(::Vector{Float64}, ::Un
itRange{Int64})
I gather that this issue can arise when using AbstractFFTs
directly, but I am loading FFTW
! What am I doing wrong? (Julia 1.9)
1 Like
I cannot reproduce. What is ] status
?
(jl_GLoe9p) pkg> st
Status `/tmp/jl_GLoe9p/Project.toml`
[7a1cc6ca] FFTW v1.6.0
julia> using FFTW
julia> fft(rand(10))
10-element Vector{ComplexF64}:
4.896886342005173 + 0.0im
0.18327191936496529 + 0.29830948141388797im
0.935521475377004 - 0.17167934311914898im
-0.17940527689522684 + 0.5852170086797646im
-0.11841056344565581 - 0.0925211085118875im
2.3039704664349037 + 0.0im
-0.11841056344565581 + 0.0925211085118875im
-0.17940527689522684 - 0.5852170086797646im
0.935521475377004 + 0.17167934311914898im
0.18327191936496529 - 0.29830948141388797im
julia> module Testing
using FFTW
f() = fft(rand(10))
export f
end
Main.Testing
julia> using .Testing
julia> f()
10-element Vector{ComplexF64}:
6.027681880991698 + 0.0im
1.1674495100205002 + 0.10481311722367466im
-1.8103182770071855 + 0.006523397541876766im
-0.47206067938739077 + 0.17300716642828937im
-0.4526906680456204 + 0.1266905360758629im
-0.5400836578665337 + 0.0im
-0.4526906680456204 - 0.1266905360758629im
-0.47206067938739077 - 0.17300716642828937im
-1.8103182770071855 - 0.006523397541876766im
1.1674495100205002 - 0.10481311722367466im
1 Like