PanDDA2 1.0.0: new module, uv venv from sha-pinned xchem/PanDDA2
Separate module from PanDDA (different library): self-contained python 3.9 venv (torch==1.13.1 caps at py3.10), torch from the pytorch CPU wheel index, ~1 GB of CNN scoring models pre-fetched at build time because the package dir is read-only for users under /opt/psi. ccp4/9.0 runtime dep only, for pandda.inspect / pandda.export. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0152MuuYUaapP7CtxrDAfvBh
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---
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format: 1
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PanDDA2:
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defaults:
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group: MX
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overlay: base
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relstage: unstable
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# no urls/shasums — uv pip installs from a sha-pinned GitHub URL (see build)
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versions:
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1.0.0:
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config:
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relstage: unstable
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runtime_deps: [ccp4/9.0]
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