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Convert to FFTA
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README.md

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# NSFFT
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# FFTA: Fastest Fourier Transform in my Apartment
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## A library by Danny Sharp
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This is a *pure Julia* implementation of FFTs, with the goal that this could supplant other FFTs for applications that require odd Julia objects. Currently this supports `AbstractArray{T,N}` for `T<:Complex` and `N` in `{1,2}` (i.e. `AbstractVector` and `AbstractMatrix`). If you're looking for more performance, checkout `FFTW.jl`.

src/NSFFT.jl renamed to src/FFTA.jl

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module NSFFT
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module FFTA
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using Primes, DocStringExtensions
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import Base: getindex
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using NSFFT
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using FFTA
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for N in [8, 11, 15, 100]
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x = zeros(ComplexF64, N)
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x[1] = 1
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y = NSFFT.fft(x)
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y = fft(x)
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@test y ones(size(x))
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end

test/runtests.jl

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using Test
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@testset verbose = true "Unit Tests" begin
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include("testNSFFT.jl")
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include("ffta.jl")
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end

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