Release v0.6.0 #369
dotsdl
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This release introduces several major features aimed at improving the overall user experience and result retrieval performance:
Taskrestart policies, which allow users to automateTaskrestarts for failure modes they encounter from unreliable compute resourcesProtocolDAGResultobjects by compute services, and use of the compactKeyedChainrepresentation for these objects underneathProtocolDAGResulton-disk caching in theAlchemiscaleClient, reducing wait times for pulling results when they have been previously requestedThis release also includes the following stack requirements:
gufe> 1.2.0pydantic> 2What's Changed
pydantic> 1 by @dotsdl in Usepydantic> 1 #192diskcachefor cachingProtocolDAGResults in the Alchemiscale client by @ianmkenney in Usediskcachefor cachingProtocolDAGResults in the Alchemiscale client #271gufeandopenfeversions in conda envs, addedcuda-version > 12to avoid pullingcudatoolkitby @dotsdl in Updatedgufeandopenfeversions in conda envs, addedcuda-version > 12to avoid pullingcudatoolkit#360alchemiscaleworking group over the last year by @dotsdl in Added CITATION.cff file with authors involved inalchemiscaleworking group over the last year #362Full Changelog: v0.5.3...v0.6.0
This discussion was created from the release Release v0.6.0.
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