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The discrete Fourier transform transforms a sampling sequence into frequency space.
The test generates 128 samples and places them as black dots in a 1024x1 white image, and does a DFT of that image.
For randomized sampling types, it does this test several times and reports the minimum, the maximum, and the average. Deterministic sampling sequences just do a single run.
There is no difference in this test for progressive vs non progressive sequences since it only ever generates a single 128 length sequence per sequence type.
No windowing function is used, but in some cases (non torroidal sampling!), a windowing function may make sense.