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Port recent pull requests to master #406
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…correlated DeepDoubleX taggers to make it explicit
…ggers and new explicit names for non-mass-decoreelated taggers)
Automatic test started, see https://gitlab.cern.ch/cms-nanoAOD/nanoAOD-integration/pipelines/1124766/builds |
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Automatic test report for 1124766
- gitlab pipeline at https://gitlab.cern.ch/cms-nanoAOD/nanoAOD-integration/pipelines/1124766/builds
- status: FAILURE (see link above for failed jobs)
Tests
Automatic test started, see https://gitlab.cern.ch/cms-nanoAOD/nanoAOD-integration/pipelines/1124766/builds |
Please update |
Automatic test started, see https://gitlab.cern.ch/cms-nanoAOD/nanoAOD-integration/pipelines/1125655/builds |
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Automatic test report for 1125655
- gitlab pipeline at https://gitlab.cern.ch/cms-nanoAOD/nanoAOD-integration/pipelines/1125655/builds
- status: FAILURE (see link above for failed jobs)
Tests
Automatic test started, see https://gitlab.cern.ch/cms-nanoAOD/nanoAOD-integration/pipelines/1125655/builds |
Automatic test started, see https://gitlab.cern.ch/cms-nanoAOD/nanoAOD-integration/pipelines/1125803/builds |
Please update |
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Automatic test report for 1125803
- gitlab pipeline at https://gitlab.cern.ch/cms-nanoAOD/nanoAOD-integration/pipelines/1125803/builds
- status: FAILURE (see link above for failed jobs)
Code integration
Code checks passed for this PR
Please update PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
: take this patch or run prepareDQM.py -d -u nano_file_mc.root
, and then if needed adjust the plot range using some human common sense.
Tests
- Long test data102X (10000 events): passed, with differences; dqm plots: all, diff
- Long test data106X (9000 events): passed, with differences; dqm plots: all, diff
- Long test mc106X (9000 events): passed, with differences; dqm plots: all, diff
- Long test mc80X (10000 events): passed, with differences; dqm plots: all, diff
- Long test mc94X (10000 events): passed, with differences; dqm plots: all, diff
- Long test mc94X2016 (9000 events): passed, with differences; dqm plots: all, diff
- Long test mc94Xv2 (9000 events): passed, with differences; dqm plots: all, diff
- Test mc_94Xv2: passed
- Test mc_102X: passed
- Test data_94X: passed
- Test data_102X: passed
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Automatic test report for 1125803
- gitlab pipeline at https://gitlab.cern.ch/cms-nanoAOD/nanoAOD-integration/pipelines/1125803/builds
- outputs at https://cms-nanoaod-integration.web.cern.ch/integration/test_pr_406/
Code integration
Code checks passed for this PR
Please update PhysicsTools/NanoAOD/python/nanoDQM_cfi.py
: take this patch or run prepareDQM.py -d -u nano_file_mc.root
, and then if needed adjust the plot range using some human common sense.
Tests
- Long test data102X (10000 events): passed, with differences; dqm plots: all, diff
- Long test data106X (9000 events): passed, with differences; dqm plots: all, diff
- Long test data80X (10000 events): passed, with differences; dqm plots: all, diff
- Long test data80Xhip (3000 events): passed, with differences; dqm plots: all, diff
- Long test data94X (10000 events): passed, with differences; dqm plots: all, diff
- Long test data94X2016 (10000 events): passed, with differences; dqm plots: all, diff
- Long test data94Xv2 (10000 events): passed, with differences; dqm plots: all, diff
- Long test mc102X (9000 events): passed, with differences; dqm plots: all, diff
- Long test mc106X (9000 events): passed, with differences; dqm plots: all, diff
- Long test mc80X (10000 events): passed, with differences; dqm plots: all, diff
- Long test mc94X (10000 events): passed, with differences; dqm plots: all, diff
- Long test mc94X2016 (9000 events): passed, with differences; dqm plots: all, diff
- Long test mc94Xv2 (9000 events): passed, with differences; dqm plots: all, diff
- Test mc_94Xv2: passed
- Test mc_102X: passed
- Test data_94X: passed
- Test data_102X: passed
Disk size report
Sample | kb/event | ref kb/event | diff |
---|---|---|---|
TTbar MC 102X | 1.850 | 1.831 | 0.019 ( +1.0% ) |
TTbar MC 94Xv1 | 1.943 | 1.924 | 0.019 ( +1.0% ) |
TTbar MC 94Xv2 | 1.974 | 1.956 | 0.018 ( +0.9% ) |
TTbar MC 94X2016 | 1.764 | 1.745 | 0.018 ( +1.1% ) |
TTbar MC 80X | 1.896 | 1.902 | -0.006 ( -0.3% ) |
Data 102X | 0.978 | 0.963 | 0.016 ( +1.6% ) |
Data 94Xv1 | 0.927 | 0.913 | 0.014 ( +1.5% ) |
Data 80X | 0.795 | 0.793 | 0.001 ( +0.2% ) |
Data 80X, Mu Run2016E | 0.776 | 0.774 | 0.001 ( +0.2% ) |
#371 #398