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| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 355750184 | https://github.com/pydata/xarray/issues/1810#issuecomment-355750184 | https://api.github.com/repos/pydata/xarray/issues/1810 | MDEyOklzc3VlQ29tbWVudDM1NTc1MDE4NA== | mrocklin 306380 | 2018-01-06T14:26:36Z | 2018-01-06T14:26:36Z | MEMBER | Confirmed that this resolved the issue. Thanks all! |
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data_array.<tab> reads data 286448591 | |
| 355716476 | https://github.com/pydata/xarray/issues/1810#issuecomment-355716476 | https://api.github.com/repos/pydata/xarray/issues/1810 | MDEyOklzc3VlQ29tbWVudDM1NTcxNjQ3Ng== | mrocklin 306380 | 2018-01-06T02:26:32Z | 2018-01-06T02:26:32Z | MEMBER | '6.2.1' and '0.10.2' respectively. I'll try updating Jedi and report back. Thank you for the pointer and rapid response @fujiisoup ! |
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data_array.<tab> reads data 286448591 | |
| 355716249 | https://github.com/pydata/xarray/issues/1810#issuecomment-355716249 | https://api.github.com/repos/pydata/xarray/issues/1810 | MDEyOklzc3VlQ29tbWVudDM1NTcxNjI0OQ== | fujiisoup 6815844 | 2018-01-06T02:22:28Z | 2018-01-06T02:22:28Z | MEMBER | What version of IPython and jedi are you using? If it is the same issue to #1727, updating jedi to 0.11 would solve this bug. |
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data_array.<tab> reads data 286448591 | |
| 355712926 | https://github.com/pydata/xarray/issues/1810#issuecomment-355712926 | https://api.github.com/repos/pydata/xarray/issues/1810 | MDEyOklzc3VlQ29tbWVudDM1NTcxMjkyNg== | mrocklin 306380 | 2018-01-06T01:35:56Z | 2018-01-06T01:35:56Z | MEMBER | Operationally this is both inefficient for me in terms of bandwidth and actually results in crashing my pod (although this is likely more FUSE's fault than XArray's) |
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data_array.<tab> reads data 286448591 |
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