Published August 28, 2020
| Version 0.13.3
Software
Open
datalad/datalad: 0.13.3 (August 28, 2020)
Creators
- Hanke, Michael1
- Halchenko, Yaroslav O.2
- Poldrack, Benjamin3
- Meyer, Kyle2
- Solanky, Debanjum Singh2
- Alteva, Gergana
- Gors, Jason2
- MacFarlane, Dave
- Olaf Häusler, Christian
- Olson, Taylor
- Waite, Alex3
- De La Vega, Alejandro4
- Sochat, Vanessa
- Keshavan, Anisha5
- Ma, Feilong2
- Christian, Horea
- Poelen, Jorrit
- Skytén, Kusti
- Visconti di Oleggio Castello, Matteo6
- Hardcastle, Nell
- Stoeter, Torsten
- C Lau, Vicky
- Markiewicz, Christopher J.7
- Wagner, Adina S.8
- 1. Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany and Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- 2. Dartmouth College, Hanover, NH, United States
- 3. Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
- 4. University of Texas at Austin
- 5. UC Berkeley - UCSF Graduate Program in Bioengineering
- 6. UC Berkeley
- 7. Stanford University, Stanford, CA, United States
- 8. Psychoinformatics Lab, INM-7, Research Centre Juelich
Description
Fixes
Work around a Python bug that led to our asyncio-based command runner intermittently failing to capture the output of commands that exit very quickly. #4835
push displayed an overestimate of the transfer size when multiple files pointed to the same key. #4821
When download-url calls
git annex addurl
, it catches and reports any failures rather than crashing. A change in v0.12.0 broke this handling in a particular case. #4817
- The wrapper functions returned by decorators are now given more meaningful names to hopefully make tracebacks easier to digest. #4834
Files
datalad/datalad-0.13.3.zip
Files
(1.8 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/datalad/datalad/tree/0.13.3 (URL)
Funding
- CRCNS US-German Data Sharing: DataGit - converging catalogues, warehouses, and deployment logistics into a federated 'data distribution' 1429999
- National Science Foundation