- vendor comparison (1000 Genomes Omni2.5, AutoCall 1.6.2.2): every
computed field identical in 2138/2141 samples; the 3 others trace back
to the single-locus raw-intensity rule (K-009); sex rule 1 matches all
- AutoCall 1.6.2.x leaves GC10/GC50/#calls/#no-calls at 0 in GTC v3:
new `--preset autocall-1.6.2` (1.1.2 normalization, sex rule 1, GTC v3,
legacy statistics); the sample summary keeps the real statistics
- NaN sign canonicalised to the x86 pattern (K-014); report P4.md
- tests/unit/test_genotype.py: fuzzy memberships incl. NaN rules, calls
at cluster centres, intensity threshold, BAF/LRR interpolation and
NaN pattern, LogR-dev locus set, sex rules v1/v2, TOP-strand base
calls, invariant dates, end-to-end `simurg genotype` (summary schema,
pass-through columns, thread/layout determinism, overwrite refusal)
- tests/oracle/test_p4_genotype.py: 36 GSA samples x 2 versions
byte-identical to the oracle
- scripts/validate_p4_large.py + cloud task p4: compare every vendor
GTC field by field and as whole files; reports which sex rule matches
- fit.py: exact and binned nearest-neighbour searches use one distance
matrix per searched bin (first-minimum rule kept); fit 2.6 s -> 1.4 s
per GSA sample, still bit-identical to the oracle
- scripts/validate_p3_large.py: refits 1.2.0 and 1.1.2 transforms for
every vendor GTC and reports ULP distances per field
- cloud trial runs scripts/cloud/tasks/<TASK>.sh (TASK=p3 default;
p1p2 = previous validation + ingest)
- 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).
- tests/oracle/test_p2_raw_xy.py: IDAT-assembled raw X/Y and controls
equal the arrays in oracle GTCs
- validate_p1_large.py: phase-P2 comparison against vendor GTCs with
diagnostics (channel swap, bead-count disagreements)
- cloud trial: also runs `simurg ingest` on all samples (time/memory),
disk 250 GB
scripts/cloud/trial.sh launches one spot instance that validates the
parsers on the 1000 Genomes Omni2.5 set (2141 samples, vendor GTCs)
streamed from the public S3 bucket, uploads the summary and terminates
itself. Cost guards: spot price cap, hard time limit (shutdown =
terminate), EXIT-trap shutdown, CloudWatch idle alarm that terminates
from outside, disk deleted with the instance, monthly budget alert, and
an `audit` command listing anything still billable.
scripts/validate_p1_large.py compares every GTC with BeadArrayFiles,
checks byte-identical round-trips, IDAT pairs and BPM/EGT/CSV.
- pyproject (uv/hatch, ruff, mypy strict, pytest markers), MIT LICENSE,
THIRD_PARTY_NOTICES with verbatim BSD-2 (BeadArrayFiles) and MIT (gtc2vcf)
- CI workflow for Gitea/GitHub Actions: lint, type check, unit tests
- fetch_data.sh p0 now fetches the GSA v4 PGx demo IDATs (the GDA "Demo 36"
bundle is a GenomeStudio project), unpacks archives, fixes pipefail bug
- make_oracle_gtcs.sh builds bcftools + gtc2vcf and writes oracle GTCs
- plan §17: corrected P0 dataset table
Phase 0 deliverables: full technical specification and roadmap
(SIMURGARRAY_MASTER_PLAN.md), CLAUDE.md, bootstrap script for reference
open-source repos and tiered dataset fetch script with checksums.
kemal