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RESTORE.md
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# HiReT / Clinical-Reasoning backup — restore instructions
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## What this is
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One AES-256 encrypted 7z archive, split into 8 volumes (40 GB each):
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hitraj_backup_20260929.7z.001 ... .008
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Archive totals: 444,062 files, 7,249 folders, 325.6 GB uncompressed.
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Everything was packed relative to `/root`, so extracting inside `/root`
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restores the original absolute paths:
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/root/autodl-tmp/Clinical_Reasoning/... (code, experiments, caches, Datasets, HF_Data)
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/root/autodl-tmp/ClinicalReasoning-ICLR/... (ICLR paper source and figures)
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/root/autodl-tmp/backup_meta/... (env exports, system info)
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## Restore
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1. Download ALL eight volumes plus this file and the checksum file into one folder.
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2. Verify volume integrity:
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sha256sum -c hitraj_backup_20260929.7z.volumes.sha256
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3. Extract (one command, all volumes are read automatically):
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cd /root && 7z x /path/to/hitraj_backup_20260929.7z.001
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The passphrase is required. It is kept offline; it is NOT in this archive.
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4. Rebuild the Python environment (do not copy the old conda dir):
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/root/miniconda3/bin/conda env create -f /root/autodl-tmp/backup_meta/env_llama-fac-wxr.yml
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# or: pip install -r /root/autodl-tmp/backup_meta/pip_freeze.txt
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## Things that were NOT included (rebuildable or junk)
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- install_tmp/ and pip_cache/ (figure tooling and pip cache, 7.6 GB)
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- __pycache__, *.lock, vscode-*.sock, torchinductor_root, .ipynb_checkpoints
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- /root/miniconda3 itself (rebuild from env_llama-fac-wxr.yml)
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## Notes
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- The 6-class and LOS embedding caches ARE included (they take roughly 12-20 h of GPU
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time to rebuild). Cache fingerprints live under each cache directory manifest.json.
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- Patient-level data (Datasets, per-sample predictions, caches) is MIMIC-IV derived:
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keep the repository access restricted even though the archive is encrypted.
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- Historical configs use absolute paths; keep the /root/autodl-tmp layout.
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