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Fix priority expander falling back to random although higher priority matches #3308
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Welcome @bruecktech! |
CLA is signed now |
/lgtm Sorry for the long wait. Re-opening to trigger presubmits re-run (since the previous run was quite old). |
/lgtm cancel |
Thanks for your pull request. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA). 📝 Please follow instructions at https://git.k8s.io/community/CLA.md#the-contributor-license-agreement to sign the CLA. It may take a couple minutes for the CLA signature to be fully registered; after that, please reply here with a new comment and we'll verify. Thanks.
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@MaciekPytel I changed the PR to be against master now |
This didn't make the 1.15.7 release :( |
@nitrag Maybe we can bring to next release. |
/lgtm |
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Fix priority expander falling back to random although higher priority matches
Fix priority expander falling back to random although higher priority matches
Fix priority expander falling back to random although higher priority matches
Fix priority expander falling back to random although higher priority matches
Fix priority expander falling back to random although higher priority matches
Cherry pick #3308 onto 1.17 - Fix priority expander falling back to random although higher priority matches
Cherry pick #3308 onto 1.15 - Fix priority expander falling back to random although higher priority matches
Fix priority expander falling back to random although higher priority matches
Fix priority expander falling back to random although higher priority matches
Fix priority expander falling back to random although higher priority matches
When an option matches in a low priority together with another option both get added to the
best
list where the random expander fallback strategy finally selects one option randomly although one of the options also matches in a higher priority.This PR ensures all priorities are evaluated for an option and higher ones take precedence by removing the
break
in the loop. The root cause is that the map of priorities is unordered and therefore we have to walk to the end