Changelogs » Fast-carpenter

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Fast-carpenter

0.19.0

Added
  - Put a tarball with book-keeping data in output directory, PR 131 [BenKrikler](httsp://github.com/benkrikler)
  - Add Dask and Parsl backends from Coffea and support execution configuration via YAML, PR 129 [BenKrikler](https://github.com/benkrikler) and [asnaylor](https://github.com/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](https://github.com/benkrikler)

0.18.2

Added
  - Add option to BinnedDataframe to apply weights to data like MC, PR 127 [BenKrikler](https://github.com/benkrikler)

0.18.1

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

0.18.0

Added
  - Add broadcasting between variables of different jaggedness in expressions, PR 122 [BenKrikler](https://github.com/benkrikler)
  
  Removed
  - Testing against Python <= 3.5, PR 124
  
  Fixed
  - Fix handling of empty data chunks in BinnedDataframe stage, PR 124 [BenKrikler](https://github.com/benkrikler)

0.17.5

Added
  - Add `observed` option to BinnedDataframe for speed boost with many bins, PR 118 [BenKrikler](https://github.com/benkrikler)
  
  Changed
  - Pin the version for the Mantichora package that AlphaTwirl depends on

0.17.4

Changed
  - `pad_missing` was replacing bin contents when set to True, PR 116 [BenKrikler](https://github.com/benkrikler)

0.17.3

Changed
  - Allow SystematicWeights stage to be used twice, PR 115 [BenKrikler](https://github.com/benkrikler)

0.17.2

Changed
  - Upgrade atsge to v0.2.1

0.17.1

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

0.17.0

Add
  - New stage: Event-by-Event dataframes (like a skim), PR 108 [davignon](https://github.com/davignon/)

0.16.1

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](https://github.com/benkrikler)

0.16.0

Added
  - An API for different "backends" which run the actual data processing
  - Add a backed for Coffea with local-multiprocessing executor. PR 102 [BenKrikler](https://github.com/benkrikler)
  
  Changed
  - Refactor AlphaTwirl code to use the "backend" API. PR 101 [BenKrikler](https://github.com/benkrikler)

0.15.1

Changed
  - Added support for variables with multiple dots in the name (nested branches). Issue 95, PR 97 [kreczko](https://github.com/kreczko)
  - Fix JaggedNth to work with arbitrary depth jagged arrays, Issue 87, PR 99 [benkrikler](https://github.com/benkrikler)
  - Add protection against multiple dimensions using the same output name in a BinnedDataframe stage, Issue 92, PR 100 [benkrikler](https://github.com/benkrikler)

0.15.0

Added
  - Existing collectors may now return their results within python, in addition to writing them to disk PR 90 [lgray](https://github.com/lgray).
  - This behavior can, at present, only be controlled within python, and is meant for exposing certain aspects of FAST-carpenter plumbing to [coffea](https://github.com/CoffeaTeam/coffea).
  
  Changed
  - Fix bug in BinnedDataframe stage, issue 89, PR 93 [benkrikler](https://github.com/benkrikler)
  - Pin atuproot to v0.1.13, PR 91
  - Tidy the print out at the end of processing, PR 94.

0.14.3

Added
  - Give fast-flow the "fast_carpenter" backend, issue 84, PR 85 [lorenafreitas](https://github.com/lorenafreitas)

0.14.2

Added
  - JaggedNth supports negative indexing, PR 81 [pmk21](https://github.com/pmk21!)

0.14.1

Added
  - Added version flag to CLI, PR 79. [maikefischer](github.com/maikefischer)
  - Prohibit ncores < 1, PR 76 [annakau](https://github.com/annakau)
  
  Changed
  - Binned dataframes can now be produced from ND jagged arrays

0.14.0

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

0.13.4

Changed
  - Fixed interpretation of user-defined variables for uproot, issue 67, PR 71 [benkrikler](https://github.com/benkrikler)

0.13.3

Changed
  - Add changes to support uproot 3.9.1 and greater, issue 68 [benkrikler](https://github.com/benkrikler)

0.13.2

Changed
  - Protect against overwriting branches and add tests, pull request 66 [benkrikler](https://github.com/benkrikler)

0.13.1

Added
  - Adds support for masking variables in their definition, issue 59 [benkrikler](https://github.com/benkrikler)
  - Adds several constants for variable expressions, issue 21 [benkrikler](https://github.com/benkrikler)
  - Added this changelog [benkrikler](https://github.com/benkrikler)
  
  Changed
  - Use `pandas.groupby(..).counts()` to make binned dataframes, issue 51 [benkrikler](https://github.com/benkrikler)
  
  Removed

0.13.0

Added
  - Add support for multiple output file types for binned dataframes, issue 57 [asnaylor](https://github.com/asnaylor)
  
  Changed
  - Fix issue with binned dataframe expressions and multiple similar branch names, issue 60 [benkrikler](https://github.com/benkrikler)
  - Enable multiple cut-flow stages and make the input chunk.tree have consistent array and arrays methods, issue 61 [benkrikler](https://github.com/benkrikler)
  
  Removed

0.12.0