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ZENODO
Software . 2019
Data sources: Datacite
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ZENODO
Software . 2019
Data sources: ZENODO
Claim

HypothesisWorks/hypothesis: Hypothesis for Python - version 4.48.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 28 Nov 2019Publisher:Zenodo
Authors: David R. MacIver; Zac Hatfield-Dodds; pyup.io bot; Alex Chan; Stuart Cook; Ryan Soklaski; David Chudzicki; +23 Authors
Code repository: https://github.com/HypothesisWorks/hypothesis/tree/hypothesis-python-4.48.0

doi: 10.5281/zenodo.3556578

HypothesisWorks/hypothesis: Hypothesis for Python - version 4.48.0

Abstract

This release revokes the deprecation of "find", as we've now rebuilt it on top of "@given", which means it has minimal maintenance burden and we're happy to support it. The canonical version of these notes (with links) is on readthedocs.

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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!
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