issue_comments: 873179375
This data as json
html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
https://github.com/pydata/xarray/issues/4118#issuecomment-873179375 | https://api.github.com/repos/pydata/xarray/issues/4118 | 873179375 | MDEyOklzc3VlQ29tbWVudDg3MzE3OTM3NQ== | 35968931 | 2021-07-02T18:22:49Z | 2021-07-02T18:22:49Z | MEMBER | Flagging another possible use case, this time in Magnetic Confinement Fusion: representing the IMAS data model. IMAS is currently closed-source (being part of the ITER project), but there is a big push to make it open-source and the standard data model for tokamak plasma data. I'm not very familiar with IMAS (@smithsp and @orso82 are more so), but it is hierarchical. There is some more information in appendix A3 of this paper, which talks about "taking advantage of the homogeneity of grid sizes that is commonly found across arrays of structures", which sounds very closely related to the This might allow the |
{ "total_count": 2, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
628719058 |