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- Figure out what do to about the mmap argument to scipy.io.netcdf_file · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 77815734 | https://github.com/pydata/xarray/issues/341#issuecomment-77815734 | https://api.github.com/repos/pydata/xarray/issues/341 | MDEyOklzc3VlQ29tbWVudDc3ODE1NzM0 | shoyer 1217238 | 2015-03-09T08:30:01Z | 2015-03-09T08:30:01Z | MEMBER | With slightly more comprehensive testing, I was able to turn accessing data from a netcdfs read (and closed) from scipy into a segmentation fault. Unfortunately, as it turns out, the only way to make scipy.io.netcdf read data from disk lazily is to use mmapped arrays. So I did indeed need to use |
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Figure out what do to about the mmap argument to scipy.io.netcdf_file 59180424 |
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