Tags give the ability to mark specific points in history as being important
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0.9.8
82813d65 · ·v0.9.8 - moved default images to python3.11 - Many improvements on plotting - Electron scale and smearing for Run3 - new direct condor submission for analysis execution -
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0.9.7
96085f65 · ·v0.9.7 - saved rescaling factor for genweight for skimmed Nano - Improvements on Law tasks - Improvements for dataset query - some plotting improvements
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0.9.6
46ba8dac · ·v0.9.6 Minor release: - improvements in the INFN AF executor - some fixes and improvements in plotting scripts
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0.9.5
514f5889 · ·v0.9.5 - Generalize handling of common Weights and user-defined Weights - Added first integration of LAW tasks to stear an analysis running PocketCoffea workflows - Many improvements in the plotting scripts - Added Dataset discovery cli to dynamically query for dataset and build the dataset definition file - Cleaning up of the default skimming function (Breaking changes! see below) - Added CDCI tests of utils and full configuration tests - New parameters exploration CLI - Added more executors - Tested the Swan AF and INFN AF
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0.9.3
997fb7b8 · ·v0.9.3 - Added JECs for Run3 - More options for build_datasets - Improvements in plotting
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0.9.0
cb0d35d4 · ·v0.9.0 - New executor plugin setup to support multiple sites and analysis facilities - New defaults for Run3 corrections - Improve CLI interface and unified scripts under `pocket-coffea` command - Added dataset-discovery-cli to build dataset_definition files
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1.0rc2-pyhep
8274b2bf · · -
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0.1
1520cdd1 · ·First release of the PocketCoffea package - Basic functionality tested and working - 1D, 2D categorization by configuration - Subsamples and weights by category/samples - Columnar output