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ci: resource tuning for faster runs #1967

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merged 1 commit into from
Nov 15, 2023
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adodon2go
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What type of PR is this?
refactor

Which issue does this PR fix:

What does this PR do / Why do we need it:

If an issue # is not available please add repro steps and logs showing the issue:

Testing done on this change:

Automation added to e2e:

Will this break upgrades or downgrades?

Does this PR introduce any user-facing change?:

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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codecov bot commented Oct 26, 2023

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (f867819) 92.04% compared to head (cc13c0a) 92.06%.
Report is 1 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1967      +/-   ##
==========================================
+ Coverage   92.04%   92.06%   +0.02%     
==========================================
  Files         164      164              
  Lines       27717    27717              
==========================================
+ Hits        25511    25517       +6     
+ Misses       1633     1628       -5     
+ Partials      573      572       -1     

☔ View full report in Codecov by Sentry.
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@adodon2go adodon2go force-pushed the ci-tunning branch 5 times, most recently from 96c3165 to 8c0f4ba Compare November 2, 2023 16:51
@adodon2go adodon2go marked this pull request as ready for review November 3, 2023 12:12
@adodon2go adodon2go force-pushed the ci-tunning branch 6 times, most recently from 44b8771 to 0f17155 Compare November 13, 2023 19:56
andaaron
andaaron previously approved these changes Nov 14, 2023
@adodon2go adodon2go linked an issue Nov 15, 2023 that may be closed by this pull request
@rchincha
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Resolve the conflict and push

@rchincha rchincha merged commit 8dd06c6 into project-zot:main Nov 15, 2023
33 checks passed
@adodon2go adodon2go deleted the ci-tunning branch November 16, 2023 07:10
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[Feature] ci: resource tuning for faster runs
3 participants