# Docker image fl-claim-a7

`fl-claim-a7_final.tar.zst` is 6.62 GB, sha256 `1832832330ab67b134795eaedd43d6d5c3dcf004596e1fd287d2e71b3af73536`. It loads as `fl-claim-a7:final`, image ID `sha256:78d5ced4f8731c440bf36fd6fdc1b488719d1f6e8193e5e7a401f6ade0b56c2e`, 12.0 GB.

```bash
zstd -dc fl-claim-a7_final.tar.zst | docker load
docker run --rm --network none --cpus 4 -v $PWD/out:/out fl-claim-a7:final            # final
docker run --rm --network none --cpus 4 -v $PWD/out:/out fl-claim-a7:final smoke      # smoke
docker run --rm --network none --cpus 4 -v $PWD/out:/out fl-claim-a7:final exclusion  # exclusion
```

| mode | what it does | result, 23 Oct 2026 |
|---|---|---|
| `final` (default) | redraws the claim image and 19 other views from the shipped maps and checks each PNG's sha256 | MATCH, 20 of 20 |
| `smoke` | re-runs the three A-hn seeds on a 169 × 169 px CT crop inside the box, compares them with the shipped maps on the 43 × 43 px fully inside the crop, and rebuilds the product byte for byte | PASS: largest difference 0.00174, r 0.99999 |
| `exclusion` | re-checks all 23,331 PHerc. 0306B training tiles against the exclusion zone in 3-D | ALL ALLOWED |
| `train` (GPU, 1 to 2 hours) | repeats the training: pool masks, teacher maps, machine labels, exclusion audit, fine-tune, claim map | prepared, not run end to end |
| `pipeline` (GPU) | runs the ink models on the full render, then `final` | not run end to end |

For `train`, the image holds the training code at the paths it ran from, with its configs, the zone and the meshes. List the CT renders and labels it needs with `docker run --rm fl-claim-a7:final shell -c 'cat /opt/fl/train/INPUTS.tsv'`, mount them read-only at those paths (all are in this dataset), then run `docker run --rm --gpus all -v $PWD/out:/out -v <data>:<path>:ro ... fl-claim-a7:final train`. GPU kernels are not bit-exact across cards, so new weights differ in sha256; the run reports how closely the new map matches the shipped one.

To build the image from public sources instead, run `bash docker/build.sh` in the GitHub repo, https://github.com/SirProdigle/pherc0306b-first-letters. It fetches every input, checks each one's sha256 and builds with the recipe in `submission/docker/`. Our test logs are in `submission/method/checks/docker_tests/`.