kemal/SimurgArray
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97cb24ebb517cbc62fa78b6b4ab777b338c35471
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4 Commits
Author SHA1 Message Date
kemal 1f2abcbdba P10 (WIP): release build script, Dockerfile, conda recipes, fresh-VM acceptance task 
scripts/build_dist.sh: sdist + pure wheel + manylinux_2_28 kernel wheels (maturin --zig,
both architectures). Dockerfile (multi-stage, kernels included, non-root user).
packaging/conda/{simurg,simurg-core}. scripts/p10/digest.py: platform-independent content
digests of GTC/VCF/summary outputs. Cloud task p10 installs the artifacts on a fresh
Ubuntu VM and runs the tutorial with pip, Docker and conda installs. trial.sh picks the
arm64/amd64 image from the instance type and can run instances in parallel (PARALLEL=1).
Licence files ship in both wheels; Rust crate notices added.
 2026-09-28 22:41:56 +01:00
kemal c9a6173fbd P5b: self-contained HTML QC report and QC table (simurg qc report) 
- pipeline/qc_report: dataset discovery/labels/types (QC-041..043), robust TSV/CSV reading (QC-061),
  join + unmatched warning (QC-040), privacy options (QC-046), xlsx (4 sheets, conditional fills) / csv
  table (QC-045), byte-deterministic HTML with gzip+base64 embedded data (QC-044, QC-047)
- qc/report: template, CSS and JS app — Control Dashboard, Automated QC (table with sort/filter/search/
  paging/column menu/export, metric scatters with threshold lines), Sample Heatmaps (chip/plate,
  continuous/binary), Trend Analysis (grouped summary, Tukey box plots, counts, sex, PCA), thresholds modal
  (apply / download / upload YAML), linked selection across plots and table (QC-048..060)
- bundled plotly.js 2.35.2 (MIT); openpyxl dependency (MIT)
- tests: discovery/labels/errors/determinism/xlsx + headless-browser self-test
- known_unknowns K-020: remaining report deviations
 2026-09-28 09:20:18 +01:00
kemal 87f9b3499c P2 (WIP): raw X/Y assembly, canonical Parquet model, simurg ingest 
- signal/raw_xy.py: vectorised Infinium I/II raw X/Y and control assembly
  (plan §7.1) with a per-chip address-map cache; IN-027 coverage gate
- core/schemas.py: Arrow schemas (loci, sample_intensity, controls),
  deterministic atomic Parquet writing
- pipeline/ingest.py + CLI: discovery, sheet, IN-010 naming, overwrite
  check before any work, spawn-based workers, per-sample isolation,
  --resume by input hashes, run manifest, exit codes 0/3/4
- matches gtc2vcf raw X/Y and controls exactly on 18 GSA samples;
  outputs byte-identical across thread counts and layouts
 2026-09-27 20:54:06 +01:00
kemal 368c97b9aa P0: project setup (packaging, CI, licences, data/oracle scripts) 
- 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
 2026-09-27 16:56:39 +01:00