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test_dask_da_groupby_quantile not passing #9860
Comments
Does it fail in CI? |
It's not clear to me whether that test runs in CI, and your codecov results haven't updated in 10 months, so it doesn't have that new test. |
Without this, we can't upload on `main`, I think. I added a token into our Actions Secrets. ref pydata#9860
Yeah, good spot. Hopefully #9865 should fix that. I think it still works on non-main branchs fwiw |
Without this, we can't upload on `main`, I think. I added a token into our Actions Secrets. ref #9860
Looking at the origin of the test, the commit says it's optimized by |
What happened?
The test fails because the expected
ValueError
is not raised:What did you expect to happen?
Test pass.
Minimal Complete Verifiable Example
MVCE confirmation
Relevant log output
No response
Anything else we need to know?
No response
Environment
xarray: 2024.11.0
pandas: 2.2.1
numpy: 1.26.4
scipy: 1.14.1
netCDF4: 1.7.2
pydap: None
h5netcdf: None
h5py: None
zarr: 2.18.3
cftime: 1.6.4
nc_time_axis: None
iris: None
bottleneck: 1.3.7
dask: 2024.11.2
distributed: None
matplotlib: 3.9.1
cartopy: None
seaborn: 0.13.2
numbagg: None
fsspec: 2024.10.0
cupy: None
pint: 0.24.4
sparse: None
flox: None
numpy_groupies: None
setuptools: 74.1.3
pip: 24.3.1
conda: None
pytest: 8.3.3
mypy: None
IPython: None
sphinx: 7.3.7
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