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91895bb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | You are working with a pinned snapshot of Osprey/FID-A, a magnetic resonance
spectroscopy processing pipeline. A collaborator is processing edited MRS data
with multiple subspectra. In a reduced synthetic reproduction, one acquisition
condition has a 180 degree polarity relationship to the others, and the current
pipeline produces an inconsistent aligned/combined result.
Run `python reproduce.py` and repair the source under
`source/` so that edited subspectra are handled consistently before alignment
and combination. The repair should be general across edited MRS datasets and
ordinary load/process workflows.
The symptom may come from inconsistent semantics between data loading and later
processing, not only from the final alignment routine.
Do not hard-code the public fixture, a particular sample count, a particular
ppm grid, a particular subspectrum count, or fixed expected numbers from the
public reproduction. Existing behavior for workflows that intentionally preserve
the original acquisition polarity should remain distinct from workflows that
need polarity-consistent spectra for alignment.
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