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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[unreleased]

Fixed

[0.19.1] - 2020-10-13

Fixed

  • Fix for uproot 3.13.0, PR #138 @benkrikler
  • Fix call to pandas sys-info function for book-keeping, PR #130 @bundocka

[0.19.0] - 2020-08-19

Added

  • Put a tarball with book-keeping data in output directory, PR #131 @BenKrikler
  • Add Dask and Parsl backends from Coffea and support execution configuration via YAML, PR #129 @BenKrikler and @asnaylor

Fixed

  • Pin alphatwirl explicitly to 0.25.5, PR #130

Removed

  • Removed help module from carpenter and moved to fast-flow, PR #131 @BenKrikler

[0.18.2] - 2020-07-01

Added

  • Add option to BinnedDataframe to apply weights to data like MC, PR #127 @BenKrikler

[0.18.1] - 2020-06-17

Fixed

  • Fix binned_dataframe.explode for object-level and non-initial data chunks, PR #125

[0.18.0] - 2020-06-17

Added

  • Add broadcasting between variables of different jaggedness in expressions, PR #122 @BenKrikler

Removed

  • Testing against Python <= 3.5, PR #124

Fixed

  • Fix handling of empty data chunks in BinnedDataframe stage, PR #124 @BenKrikler

[0.17.5] - 2020-04-03

Added

  • Add observed option to BinnedDataframe for speed boost with many bins, PR #118 @BenKrikler

Changed

  • Pin the version for the Mantichora package that AlphaTwirl depends on

[0.17.4] - 2020-03-12

Changed

  • pad_missing was replacing bin contents when set to True, PR #116 @BenKrikler

[0.17.3] - 2020-02-27

Changed

  • Allow SystematicWeights stage to be used twice, PR #115 @BenKrikler

[0.17.2] - 2020-02-25

Changed

  • Upgrade atsge to v0.2.1

[0.17.1] - 2020-02-16

Changed

  • Updated version in setup.py to mark as a new version
  • Upgrade atsge to v0.2.0

[0.17.0] - 2020-02-16

Add

  • New stage: Event-by-Event dataframes (like a skim), PR #108 @davignon

[0.16.1] - 2020-02-16

Fixed

  • Unit test that was broken by Pandas >1.0.0
  • Bug in explode function when an dimension contains strings, issue #109, PR #110 @BenKrikler

[0.16.0] - 2019-11-1

Added

  • An API for different "backends" which run the actual data processing
  • Add a backed for Coffea with local-multiprocessing executor. PR #102 @BenKrikler

Changed

  • Refactor AlphaTwirl code to use the "backend" API. PR #101 @BenKrikler

[0.15.1] - 2019-11-1

Changed

  • Added support for variables with multiple dots in the name (nested branches). Issue #95, PR #97 @kreczko
  • Fix JaggedNth to work with arbitrary depth jagged arrays, Issue #87, PR #99 @benkrikler
  • Add protection against multiple dimensions using the same output name in a BinnedDataframe stage, Issue #92, PR #100 @benkrikler

[0.15.0] - 2019-10-27

Added

  • Existing collectors may now return their results within python, in addition to writing them to disk PR #90 @lgray.
    • This behavior can, at present, only be controlled within python, and is meant for exposing certain aspects of FAST-carpenter plumbing to coffea.

Changed

  • Fix bug in BinnedDataframe stage, issue #89, PR #93 @benkrikler
  • Pin atuproot to v0.1.13, PR #91
  • Tidy the print out at the end of processing, PR #94.

[0.14.3] - 2019-10-07

Added

  • Give fast-flow the "fast_carpenter" backend, issue #84, PR #85 @lorenafreitas

[0.14.2] - 2019-10-06

Added

  • JaggedNth supports negative indexing, PR #81 @pmk21

[0.14.1] - 2019-10-04

Added

Changed

  • Binned dataframes can now be produced from ND jagged arrays

[0.14.0] - 2019-10-03

Added

  • Support for ND jagged array in expressions, PR #73
  • Automatic conversion of ObjectArrays from uproot to JaggedArrays, PR #73

[0.13.4] - 2019-09-21

Changed

  • Fixed interpretation of user-defined variables for uproot, issue #67, PR #71 @benkrikler

[0.13.3] - 2019-09-12

Changed

  • Add changes to support uproot 3.9.1 and greater, issue #68 @benkrikler

[0.13.2] - 2019-08-19

Changed

  • Protect against overwriting branches and add tests, pull request #66 @benkrikler

[0.13.1] - 2019-08-05

Added

  • Adds support for masking variables in their definition, issue #59 @benkrikler
  • Adds several constants for variable expressions, issue #21 @benkrikler
  • Added this changelog @benkrikler

Changed

  • Use pandas.groupby(..).counts() to make binned dataframes, issue #51 @benkrikler

Removed

[0.13.0] - 2019-07-28

Added

  • Add support for multiple output file types for binned dataframes, issue #57 @asnaylor

Changed

  • Fix issue with binned dataframe expressions and multiple similar branch names, issue #60 @benkrikler
  • Enable multiple cut-flow stages and make the input chunk.tree have consistent array and arrays methods, issue #61 @benkrikler

Removed

[0.12.0] - 2019-05-28