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ZENODO
Software . 2020
Data sources: Datacite
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ZENODO
Software . 2020
Data sources: ZENODO
Claim

HypothesisWorks/hypothesis: Hypothesis for Python - version 5.22.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Jul 2020Publisher:Zenodo
Authors: David R. MacIver; Zac Hatfield-Dodds; pyup.io bot; Alex Chan; Stuart Cook; Ryan Soklaski; David Chudzicki; +23 Authors

doi: 10.5281/zenodo.3960294

HypothesisWorks/hypothesis: Hypothesis for Python - version 5.22.0

Abstract

The "slices()" strategy can now generate slices for empty sequences, slices with negative start and stop indices (from the end of the sequence), and "step=None" in place of "step=1". Thanks to Sangarshanan for implementing this feature at the EuroPython sprints! The canonical version of these notes (with links) is on readthedocs.

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    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).
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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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
0
Average
Average
Average