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Protection for extrapolation of laser corrections (reload PR #30254) #30439
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…> t3 + dt : t = t3+dt
The code-checks are being triggered in jenkins. |
-code-checks Logs: https://cmssdt.cern.ch/SDT/code-checks/cms-sw-PR-30439/16547
Code check has found code style and quality issues which could be resolved by applying following patch(s)
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The code-checks are being triggered in jenkins. |
+code-checks Logs: https://cmssdt.cern.ch/SDT/code-checks/cms-sw-PR-30439/16549
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A new Pull Request was created by @fcouderc for master. It involves the following packages: CalibCalorimetry/EcalLaserCorrection @cmsbuild, @pohsun, @christopheralanwest, @tocheng, @tlampen can you please review it and eventually sign? Thanks. cms-bot commands are listed here |
please test @fcouderc In case you were unaware, you may find the instructions for rebasing and porting features useful. |
The tests are being triggered in jenkins.
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+1 |
Comparison job queued. |
Comparison is ready Comparison Summary:
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All failures explained in PR#30254. |
Thanks! And no HLT signature needed anymore. |
### delta t is the safety margin before stopping | ||
### the laser correction extrapolation (this is in seconds) | ||
maxExtrapolationTimeInSec = cms.uint32( 0 ) ) | ||
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Hi,
Now with fillDescriptions, you no longer need the explicit cfi file in the ../python directory. Upon compilation of the c++ code with scram, a cfi file will be generated from fillDescriptions and placed into ../cfipython, accessible thru the same path CalibCalorimetry.EcalLaserCorrection.EcalLaserCorrectionService_cfi
+1 |
This pull request is fully signed and it will be integrated in one of the next master IBs (tests are also fine). This pull request will now be reviewed by the release team before it's merged. @silviodonato, @dpiparo (and backports should be raised in the release meeting by the corresponding L2) |
+1 |
FYI @blenzi |
reload of PR #30254
PR description:
add extra parameter to protect for extrapolation of laser corrections.
if t > t3 + dt : t = t3+dt
PR validation:
addOnTests.py
runTheMatrix.py was not re-run, but was working perfectly for the last PR
if this PR is a backport please specify the original PR and why you need to backport that PR:
Before submitting your pull requests, make sure you followed this checklist: