issue_comments: 1272553921
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/7146#issuecomment-1272553921 | https://api.github.com/repos/pydata/xarray/issues/7146 | 1272553921 | IC_kwDOAMm_X85L2aHB | 11075246 | 2022-10-09T14:27:06Z | 2022-10-09T14:27:06Z | NONE | datatype seems to be not important. But the two variables are required to get a segfault. The following with just floats produces a segfault ``` import numpy as np import xarray as xr N_TIMES=48 ds = xr.Dataset({"time": ("T", np.zeros((N_TIMES))), 'd1': (["T", "x", "y"], np.zeros((N_TIMES, 201,201)))}) ds.to_netcdf(path="/my_s3_fs/test_netcdf.nc", format="NETCDF4", mode="w") ``` |
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