Upstream build failing for 2 weeks

[hammer]

https://github.com/pystatgen/sgkit/actions?query=workflow%3A%22Upstream%22+branch%3Amaster

[hammer]

@tomwhite notes that it would be nice to have an email when this fails

[tomwhite]

The failure is due to pydata/xarray#4940

____________________ test_hwep_dataset__precomputed_counts _____________________

ds_neq = <xarray.Dataset>
Dimensions: (alleles: 2, ploidy: 2, samples: 1000, variants: 50)
Dimensions without coord..... 0 0 0 0
 call_genotype_mask (variants, samples, ploidy) bool False False ... False
Attributes:
 contigs: [0]

 def test_hwep_dataset__precomputed_counts(ds_neq: Dataset) -> None:
 ds = ds_neq
 ac = ds["call_genotype"].sum(dim="ploidy")
 cts = [1, 0, 2] # arg order: hets, hom1, hom2
 gtc = xr.concat([(ac == ct).sum(dim="samples") for ct in cts], dim="counts").T
 ds = ds.assign(**{"variant_genotype_counts": gtc})
 p = hwep_test(ds, genotype_counts="variant_genotype_counts", merge=False)
> assert np.all(p < 1e-8)

sgkit/tests/test_hwe.py:143: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
<__array_function__ internals>:5: in all
 ???
/opt/hostedtoolcache/Python/3.8.8/x64/lib/python3.8/site-packages/numpy/core/fromnumeric.py:2438: in all
 return _wrapreduction(a, np.logical_and, 'all', axis, None, out,
/opt/hostedtoolcache/Python/3.8.8/x64/lib/python3.8/site-packages/numpy/core/fromnumeric.py:85: in _wrapreduction
 return reduction(axis=axis, out=out, **passkwargs)
/opt/hostedtoolcache/Python/3.8.8/x64/lib/python3.8/site-packages/xarray/core/common.py:101: in wrapped_func
 return self.reduce(func, dim, numeric_only=numeric_only, **kwargs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <xarray.Dataset>
Dimensions: (variants: 50)
Dimensions without coordinates: variants
Data variables:
 variant_hwe_p_value (variants) bool dask.array<chunksize=(50,), meta=np.ndarray>
func = <function _dask_or_eager_func.<locals>.f at 0x7f825fcef550>, dim = None
keep_attrs = None, keepdims = False, numeric_only = False
kwargs = {'axis': None, 'out': None}

 def reduce(
 self,
 func: Callable,
 dim: Union[Hashable, Iterable[Hashable]] = None,
 keep_attrs: bool = None,
 keepdims: bool = False,
 numeric_only: bool = False,
 **kwargs: Any,
 ) -> "Dataset":
 """Reduce this dataset by applying `func` along some dimension(s).
 
 Parameters
 ----------
 func : callable
 Function which can be called in the form
 `f(x, axis=axis, **kwargs)` to return the result of reducing an
 np.ndarray over an integer valued axis.
 dim : str or sequence of str, optional
 Dimension(s) over which to apply `func`. By default `func` is
 applied over all dimensions.
 keep_attrs : bool, optional
 If True, the dataset's attributes (`attrs`) will be copied from
 the original object to the new one. If False (default), the new
 object will be returned without attributes.
 keepdims : bool, default: False
 If True, the dimensions which are reduced are left in the result
 as dimensions of size one. Coordinates that use these dimensions
 are removed.
 numeric_only : bool, optional
 If True, only apply ``func`` to variables with a numeric dtype.
 **kwargs : Any
 Additional keyword arguments passed on to ``func``.
 
 Returns
 -------
 reduced : Dataset
 Dataset with this object's DataArrays replaced with new DataArrays
 of summarized data and the indicated dimension(s) removed.
 """
 if "axis" in kwargs:
> raise ValueError(
 "passing 'axis' to Dataset reduce methods is ambiguous."
 " Please use 'dim' instead."
 )
E ValueError: passing 'axis' to Dataset reduce methods is ambiguous. Please use 'dim' instead.

/opt/hostedtoolcache/Python/3.8.8/x64/lib/python3.8/site-packages/xarray/core/dataset.py:4693: ValueError

[tomwhite]

@tomwhite notes that it would be nice to have an email when this fails

Unfortunately this isn't easy to fix (needs dedicated email account?): https://github.community/t/no-email-notification-on-schedule-cron-job-failure/119638. Perhaps we should just manually check the page for the time being.