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The 3.x DataModule required class_label even though pretraining never reads it, so the README example had to pass a fake class_label='cell_type' just to satisfy prepare_data(). Now SIMS(data=adata) works on a literally unlabeled AnnData; SIMS.train() raises a clear ValueError if called without one.
The post-job cache-save tar was hitting the 10-minute step timeout on Python 3.10 and 3.12 because the v4 resolved env is >2 GB. Tests themselves passed; only the cleanup step was being canceled. A cold pip resolve takes ~25s, which is faster than the cache save anyway.
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