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3 changes: 2 additions & 1 deletion docs/applications/kegg_curation_implementation_status.md
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Expand Up @@ -91,7 +91,8 @@ by every stage to read/write its checkpoint file.

## `kegg_rest.py` — KEGG REST API Client

Thin, direct wrapper around `https://rest.kegg.jp`, using `requests`
Thin, direct wrapper around the [KEGG REST API](https://www.kegg.jp/kegg/rest/keggapi.html)
(`https://rest.kegg.jp`), using `requests`
directly rather than the `kegg_pull` PyPI package.

**Why not `kegg_pull`**: `kegg_pull` 3.2.3 (latest on PyPI as of
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6 changes: 4 additions & 2 deletions docs/platforms/running_on_polaris.md
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Expand Up @@ -210,8 +210,10 @@ Training Zone A: 100%|██████| 30/30 [00:31<00:00, 1.02s/it, loss=8.9
Use anchored excludes (`--exclude='/data'`) when staging the repo
to Polaris.
- **Outbound network is via proxy.** Set
`HTTP_PROXY=http://proxy.alcf.anl.gov:3128` for HF downloads. The
launcher exports these by default; use `--no-proxy` for offline runs.
`HTTP_PROXY=http://proxy.alcf.anl.gov:3128` for HF downloads (an HTTP
proxy endpoint, not a browsable page — see the
[ALCF getting-started docs](https://docs.alcf.anl.gov/polaris/getting-started/)).
The launcher exports these by default; use `--no-proxy` for offline runs.
- **Pre-cache HF models.** Compute nodes go through the proxy too,
which is rate-limited and intermittently blocks. Download models
on a login node first:
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