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scikit-hep/awkward-1.0: 1.8.0rc1

Authors: Jim Pivarski; Ianna Osborne; Pratyush Das; Angus Hollands; Henry Schreiner; Anish Biswas; Nicholas Smith; +16 Authors

scikit-hep/awkward-1.0: 1.8.0rc1

Abstract

Dropped support for Pythons 2.7 and 3.5: PR #1182. From now on, Awkward Array only supports Python 3.6 and up. @henryiii added Python 3.10 to testing: PR #1186. Bumped pybind11 to version 2.8.0: PR #1011. To 2.9.0: PR #1199. Included a Numba release candidate for Python 3.10: PR #1188. @ianna replaced std::shared_ptr with std::unique_ptr in ArrayBuilder and also removed a pointer assignment from a hot loop for a performance increase: PR #1155. Added diagrams for future tutorials: PR #948. @agoose77 improved ak.packed to additionally project IndexedArrays: PR #1195. @BioGeek fixed a typo in the documentation: PR #1187. @jpivarski fixed a bug in ak.unflatten: PR #1178. Added an exception for an unworkable case in ak.unzip: PR #1179. Fixed ak.to_numpy with RegularArray of size zero and non-zero length: PR #1180. Fixed NumpyArray::numbers_to_type: PR #1175. Fixed zeros in RegularArray shape: PR #1181. Fixed a typo: PR #1172. Removed distutils dependence: PR #1196. Fixed ak.singletons for non-optional data: PR #1197. Extended the default case of NEP 18 to allow arguments to be non-array iterables: PR #1198. Improved an error message in Content::axis_wrap_if_negative: PR #1202. Filled ak._v2 with the symbols that will eventually be in ak: PR #1208. Version 2 development: @jpivarski simplified type-tracers, so they no longer try to know their lengths: PR #1183 and #1184. Implemented v2 to_list and switched all v2 tests to use it: PR #1201 and #1203. Ensured that v2 to_numpy is done: PR #1204. Fixed up reducers (including non-reducers) and moved a lot of tests from v1 to v2: PR #1206.

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citations
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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.
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