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Awkward Array

Authors: Pivarski, Jim; Osborne, Ianna; Ifrim, Ioana; Schreiner, Henry; Hollands, Angus; Biswas, Anish; Das, Pratyush; +5 Authors

Awkward Array

Abstract

New features feat: drop Python 3.9 by @henryiii in https://github.com/scikit-hep/awkward/pull/3816 Bug-fixes and performance fix: pass the right input type to awkward_NumpyArray_subrange_equal* kernels by @ikrommyd in https://github.com/scikit-hep/awkward/pull/3818 fix: define behavior class within the test function in test_1511_set_attribute.py to make it thread-local by @ikrommyd in https://github.com/scikit-hep/awkward/pull/3826 fix: properly respect requested byteorder in ak.from_buffers for ndarray buffers by @ikrommyd in https://github.com/scikit-hep/awkward/pull/3820 fix: use set_mask instead of set_base_mask in to_cudf by @ikrommyd in https://github.com/scikit-hep/awkward/pull/3847 Other chore: use "M8" dtype instead of "

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Top 10%