issue_comments: 242535724
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| 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/873#issuecomment-242535724 | https://api.github.com/repos/pydata/xarray/issues/873 | 242535724 | MDEyOklzc3VlQ29tbWVudDI0MjUzNTcyNA== | 1328158 | 2016-08-25T20:48:45Z | 2016-08-25T20:48:45Z | NONE | Thanks, Stephan. In general things appear to be working much more as expected now, probably (hopefully) this is just an edge case/nuance that won't be too difficult for you guys to address. If so and if I don't run across any other issues then my code will be dramatically simplified by leveraging xarray rather than writing code to enable shared memory objects for the multiprocessing side of things (my assumption being that you guys have done a better job of that than I can). A gist with example code and a smallish data file attached to the comment is here: https://gist.github.com/monocongo/e8e883c2355f7a92bb0b9d24db5407a8 Please let me know if I can do anything else to help you help me. Godspeed! --James On Tue, Aug 23, 2016 at 12:42 AM, Stephan Hoyer notifications@github.com wrote:
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