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Undescribed Horrific Abuse, One Victim & Survivor of Many gmkarl at gmail.com
Wed Nov 16 01:40:15 PST 2022


(Pdb) p longvec[:16]
array([0.5488135 , 0.5488135 , 0.5488135 , 0.5488135 , 0.5488135 ,
       0.71518937, 0.71518937, 0.71518937, 0.71518937, 0.60276338,
       0.60276338, 0.60276338, 0.60276338, 0.54488318, 0.54488318,
       0.54488318])
(Pdb) p (inserting_spectrum @ inserting_ift)[:16]
array([0.5488135 , 0.5488135 , 0.5488135 , 0.5488135 , 0.5488135 ,
       0.5488135 , 0.5488135 , 0.5488135 , 0.5488135 , 0.5488135 ,
       0.5488135 , 0.5488135 , 0.5488135 , 0.71518937, 0.87543105,
       0.82261755])

It looks like the first differing sample is the sixth, which is index 5.

(Pdb) p longvec[5]
0.7151893663724195
(Pdb) p (inserting_spectrum @ inserting_ift)[5]
0.5488135039273259

It's also notable that inserting_spectrum @ inserting_ift is making a
single sample of 0.71518937 . It should be too low frequency to make a
single isolated sample like that.

0435

0437
Given the wave is scaled over time, the function that produces it
should have its time parameter scaled by the same amount. The
frequencies are passed directly as time parameter scalings, so they
too should be scaled.

It looks like the current code is doing that, but by a slightly different value:
(Pdb) p fftfreq(len(randvec), complex = False, dc_offset = True) /
fftfreq(len(randvec), complex = False, dc_offset = True,
repetition_samples = short_duration)
<string>:1: RuntimeWarning: invalid value encountered in divide
array([        nan, 12.31580355, 12.31580355, 12.31580355, 12.31580355,
       12.31580355, 12.31580355, 12.31580355, 12.31580355, 12.31580355,
       12.31580355, 12.31580355, 12.31580355, 12.31580355, 12.31580355,
       12.31580355])
(Pdb) p short_duration / len(randvec)
23.09213164972691
(Pdb) p short_duration / len(randvec) /2
11.546065824863454


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