use numpy's new intersphinx url #4117
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Is it just me or does the new address 404? |
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it works for me. Just to be sure, the object inventory is at https://numpy.org/doc/stable/objects.inv Edit: it works for the CI, too |
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Sorry, it does work. Not sure how that happened earlier. LGTM, thanks @keewis ! |
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Thanks @keewis |
dcherian
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…o-combine * 'master' of github.com:pydata/xarray: (81 commits) use builtin python types instead of the numpy alias (pydata#4170) Revise pull request template (pydata#4039) pint support for Dataset (pydata#3975) drop eccodes in docs (pydata#4162) Update issue templates inspired/based on dask (pydata#4154) Fix failing upstream-dev build & remove docs build (pydata#4160) Improve typehints of xr.Dataset.__getitem__ (pydata#4144) provide a error summary for assert_allclose (pydata#3847) built-in accessor documentation (pydata#3988) Recommend installing cftime when time decoding fails. (pydata#4134) parameter documentation for DataArray.sel (pydata#4150) speed up map_blocks (pydata#4149) Remove outdated note from datetime accessor docstring (pydata#4148) Fix the upstream-dev pandas build failure (pydata#4138) map_blocks: Allow passing dask-backed objects in args (pydata#3818) keep attrs in reset_index (pydata#4103) Fix open_rasterio() for WarpedVRT with specified src_crs (pydata#4104) Allow non-unique and non-monotonic coordinates in get_clean_interp_index and polyfit (pydata#4099) update numpy's intersphinx url (pydata#4117) xr.infer_freq (pydata#4033) ...
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With the recent documentation changes,
numpyalso changed the location of the intersphinx inventory (objects.inv). This makes sure we use the new location.