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  • Figure out what do to about the mmap argument to scipy.io.netcdf_file · 1 ✖

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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
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 .copy() (see #365) to fix the seg-faults and make things consistent with how we use netCDF4-python.

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  Figure out what do to about the mmap argument to scipy.io.netcdf_file 59180424

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