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that looks like it works, besides the fact that print(f"numbagg={numbagg.__version__}")prints |
It is not a conda problem but a bug upstream. The See https://github.com/numbagg/numbagg/blob/v0.2.1/setup.py#L24 |
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ah, that makes sense, thanks. I must have missed that line while checking the package metadata. This has even been fixed since then, but not released. @max-sixty, would it be possible to issue a new release? |
This should now be releasing! https://github.com/numbagg/numbagg/releases/tag/v0.2.2 |
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do we need to worry about this: Traceback (most recent call last):
File "/home/runner/micromamba-root/envs/xarray-tests/lib/python3.10/doctest.py", line 1350, in __run
exec(compile(example.source, filename, "single",
File "<doctest xarray.core.rolling_exp.RollingExp.sum[1]>", line 1, in <module>
File "/home/runner/work/xarray/xarray/xarray/core/rolling_exp.py", line 162, in sum
return self.obj.reduce(
File "/home/runner/work/xarray/xarray/xarray/core/dataarray.py", line 3667, in reduce
var = self.variable.reduce(func, dim, axis, keep_attrs, keepdims, **kwargs)
File "/home/runner/work/xarray/xarray/xarray/core/variable.py", line 1955, in reduce
data = func(self.data, axis=axis, **kwargs)
File "/home/runner/work/xarray/xarray/xarray/core/rolling_exp.py", line 41, in move_exp_nansum
raise ValueError("`rolling_exp(...).sum() requires numbagg>=0.2.1.")
ValueError: `rolling_exp(...).sum() requires numbagg>=0.2.1.not being caught by CI? Edit: to answer my own question: no, because most of the the |
* upstream/main: RTD maintenance (pydata#7477) fix the RTD build skipping feature (pydata#7476) Add benchmarks for to_dataframe and to_dask_dataframe (pydata#7474) allow skipping RTD builds (pydata#7470) create separate environment files for `python=3.11` (pydata#7469) Bump mamba-org/provision-with-micromamba from 14 to 15 (pydata#7466) install `numbagg` from `conda-forge` (pydata#7415) Fill missing data_vars during concat by reindexing (pydata#7400) [skip-cii] Add pyodide update instructions to HOW_TO_RELEASE (pydata#7449) [skip-ci] whats-new for next release (pydata#7455) v2023.01.0 whats-new (pydata#7440)
It seems there is a
numbaggpackage onconda-forgenow.Not sure what to do about the
min-all-depsCI, but given that the most recent version ofnumbagghappened more than 12 months ago (more than 18 months, even) maybe we can just bump it to the version onconda-forge?