Changelog

Changelog#

This page keeps track of major and minor changes between versions. Breaking changes are also reported

PocketCoffea 0.9.6#

  • Minor release: only fixes and small improvements

    • Some fixes in the plotting script

    • Improvements for the INFN analysis facility executor

PocketCoffea 0.9.5#

  • 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

Breaking changes#

Default skim#

  • Some skimming cuts were included by default in the base workflow and may be unnoticed by the users PR#193. For maximum transparency we have removed those cuts from the base workflow and made the cutting functions available to be used in the configuration. The functions were:

    • nPV_good > 0 selection

    • goldenJson

    • event flags for data and MC.

Users must now include the following cut functions in their skim configuration to keep the same cutflow in their analysis:

1from pocket_coffea.lib.cut_functions import get_nPVgood, goldenJson, eventFlags
2
3cfg = Configurator(
4    skim = [get_nPVgood(1), eventFlags, goldenJson]
5)

This change is enough to preserve the same cuts applied before 0.9.5.

Jet selection function#

The signature of the jet cleaning function used often in the object preselection step of processor has been changes to add explicitely the year argument.

1- def jet_selection(events, jet_type, params, leptons_collection=""):
2+ def jet_selection(events, jet_type, params, *year*, leptons_collection=""):

This signature change can be unnoticed by users using the leptons_collection argument. Please cross-check your function usage.

PocketCoffea 0.9.0#

  • 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

PocketCoffea 0.7#

  • Improved and generalized executors configuration for runner.py

PocketCoffea 1.0rc0#

The main change is the possibility to completely split the analysis configuration files and parameters from the core of the framework.

  • Parameters configuration now in place with OmegaConf

  • Docker and singularity images built with GitLab CD/CI and published on /cvmfs/unpacked.cern.ch/gitlab-registry.cern.ch/cms-analysis/general

  • Improved the handling of datasets and samples

  • Added dataset metadata in the output file

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