Justus Magin
Justus Magin
The `pint` tests pass so all that's left is to figure out how to fix the `sparse` tests. `sparse` seems to have different `dtype` casting behavior (it casts e.g. a...
the remaining failures for `pint` are #6822. I also wonder whether we should have a separate job for `hypothesis`: this makes CI run quite a bit longer (about 70s on...
xref pydata/sparse#555
I started with `reduce` because that seemed to be the easiest to check, but I guess I was wrong? In any case, checking that the wrapped data is indeed the...
> We might just want to wait to merge this before merging that though anyway. I actually think it should be the other way around: if we can get the...
> Looks like you need to patch that internally just a bit, probably adding pytorch to NON_NUMPY_SUPPORTED_ARRAY_TYPES. defining `__array_function__` (and the other properties listed in the [docs](https://xarray.pydata.org/en/latest/internals.html)) should be enough:...
I *thought* I ran it on `main`, but apparently I made a mistake? You're right, the aggregations and `thin` have examples now, but `head` and `tail` don't
yep, basically that, but linking to other sections in the documentation or related functions / methods is valuable as well (the "See Also" section). Have a look at #7088 for...
not really, I wanted to wait until `set_xindex` was in main (the PR has been merged last week) and have not looked at it since. Edit: we don't yet have...
even with ```python In [1]: import xarray as xr ...: ...: ds = xr.Dataset({"a": ("x", [1, 2, 3], {"t": 0})}, attrs={"t": 1}) ...: ds2 = ds.copy(deep=True) ...: ds.attrs["t"] = 5...