kemalandClaude Opus 5.5 314fdc40d1 P3: normalization fit (1.2.0 and 1.1.2), apply, polar, simurg normalize ...

- signal/normalization/numerics.py: vendor percentile, trimmean, MAD sigma
  (old/new), bisquare robust fits, float32/float64 typing and sequential
  sums reproduced exactly (ported from gtc2vcf, MIT)
- signal/normalization/fit.py: outlier removal, offset, rotation, shear,
  scale, nn12/rr12, single-channel model for small Infinium I bins,
  exact and binned nearest-neighbour sweeps; vendor quirks marked QUIRK
- signal/normalization/apply.py: affine transform and theta/R
- pipeline/normalize.py + CLI `simurg normalize`
- oracle GTCs rebuilt with -ffp-contract=off (aarch64 gcc fuses a*b+c by
  default, shifting the last bits); the old FMA oracle differed by <=4 ULP

Result: transforms bit-identical to the oracle for all 36 GSA samples x
48 bins, for both normalization versions (3456/3456 bins, 0 ULP).

Co-Authored-By: Claude Opus 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01814GKVzZVL3FuF3DeiZXhv

2026-09-27 22:51:06 +01:00

..

test_p1_real_files.py

P1: file parsers, sample sheet, discovery, CLI inspect

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test_p2_raw_xy.py

P3: normalization fit (1.2.0 and 1.1.2), apply, polar, simurg normalize

2026-09-27 22:51:06 +01:00

test_p3_normalization.py

P3: normalization fit (1.2.0 and 1.1.2), apply, polar, simurg normalize

2026-09-27 22:51:06 +01:00