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dataclysm's Issues

Update environment and dependencies

Current jupyter notebook advises a python 3.10 environment, but under a fresh conda environment, several dependencies (torch*) likely need to be built from wheel and conflicts occur between beam and dill (for starters).

It appears that both environment configuration and requirements need to be updated.

Whilst a docker container may be the easiest way to distribute dataclysm, would still love to have a repeatable way to deploy with conda or venv alone - as I usually need a few drinks to be fully up for docking.

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