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:
Task
restart policies, which allow users to automateTask
restarts for failure modes they encounter from unreliable compute resourcesProtocolDAGResult
objects by compute services, and use of the compactKeyedChain
representation for these objects underneathProtocolDAGResult
on-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 #192diskcache
for cachingProtocolDAGResult
s in the Alchemiscale client by @ianmkenney in Usediskcache
for cachingProtocolDAGResult
s in the Alchemiscale client #271gufe
andopenfe
versions in conda envs, addedcuda-version > 12
to avoid pullingcudatoolkit
by @dotsdl in Updatedgufe
andopenfe
versions in conda envs, addedcuda-version > 12
to avoid pullingcudatoolkit
#360alchemiscale
working group over the last year by @dotsdl in Added CITATION.cff file with authors involved inalchemiscale
working 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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