html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/3660#issuecomment-576795191,https://api.github.com/repos/pydata/xarray/issues/3660,576795191,MDEyOklzc3VlQ29tbWVudDU3Njc5NTE5MQ==,2448579,2020-01-21T17:38:57Z,2020-01-21T17:38:57Z,MEMBER,Thanks for the review. I'll merge when tests pass.,"{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,544661257
https://github.com/pydata/xarray/pull/3660#issuecomment-576786205,https://api.github.com/repos/pydata/xarray/issues/3660,576786205,MDEyOklzc3VlQ29tbWVudDU3Njc4NjIwNQ==,2448579,2020-01-21T17:18:09Z,2020-01-21T17:18:09Z,MEMBER,ready for review and merge.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,544661257
https://github.com/pydata/xarray/pull/3660#issuecomment-576448786,https://api.github.com/repos/pydata/xarray/issues/3660,576448786,MDEyOklzc3VlQ29tbWVudDU3NjQ0ODc4Ng==,2448579,2020-01-20T22:28:08Z,2020-01-20T22:28:08Z,MEMBER,Ah found it: https://github.com/dask/dask/pull/5334. Missed it when I looked through the changelog earlier.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,544661257
https://github.com/pydata/xarray/pull/3660#issuecomment-575849980,https://api.github.com/repos/pydata/xarray/issues/3660,575849980,MDEyOklzc3VlQ29tbWVudDU3NTg0OTk4MA==,2448579,2020-01-18T01:05:50Z,2020-01-18T01:05:50Z,MEMBER,Does anyone have thoughts on what might be happening here?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,544661257
https://github.com/pydata/xarray/pull/3660#issuecomment-572635127,https://api.github.com/repos/pydata/xarray/issues/3660,572635127,MDEyOklzc3VlQ29tbWVudDU3MjYzNTEyNw==,2448579,2020-01-09T16:19:11Z,2020-01-09T16:19:11Z,MEMBER,"`min-all-deps` fails with this weird error:
```
def test_append_with_new_variable(self):
ds, ds_to_append, ds_with_new_var = create_append_test_data()
# check append mode for new variable
with self.create_zarr_target() as store_target:
xr.concat([ds, ds_to_append], dim=""time"").to_zarr(store_target, mode=""w"")
ds_with_new_var.to_zarr(store_target, mode=""a"")
combined = xr.concat([ds, ds_to_append], dim=""time"")
combined[""new_var""] = ds_with_new_var[""new_var""]
> assert_identical(combined, xr.open_zarr(store_target))
xarray/tests/test_backends.py:1876:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
xarray/core/dataset.py:1354: in identical
other, ""identical""
xarray/core/dataset.py:1302: in _all_compat
self._variables, other._variables, compat=compat
xarray/core/utils.py:338: in dict_equiv
if k not in second or not compat(first[k], second[k]):
xarray/core/dataset.py:1299: in compat
return getattr(x, compat_str)(y)
xarray/core/variable.py:1670: in identical
other, equiv=equiv
xarray/core/variable.py:1647: in equals
self._data is other._data or equiv(self.data, other.data)
xarray/core/duck_array_ops.py:224: in array_equiv
flag_array = (arr1 == arr2) | (isnull(arr1) & isnull(arr2))
/usr/share/miniconda/envs/xarray-tests/lib/python3.6/site-packages/dask/array/core.py:1739: in __eq__
return elemwise(operator.eq, self, other)
/usr/share/miniconda/envs/xarray-tests/lib/python3.6/site-packages/dask/array/core.py:3749: in elemwise
**blockwise_kwargs
/usr/share/miniconda/envs/xarray-tests/lib/python3.6/site-packages/dask/array/blockwise.py:145: in blockwise
chunkss, arrays = unify_chunks(*args)
/usr/share/miniconda/envs/xarray-tests/lib/python3.6/site-packages/dask/array/core.py:3020: in unify_chunks
(asanyarray(a) if ind is not None else a, ind) for a, ind in partition(2, args)
/usr/share/miniconda/envs/xarray-tests/lib/python3.6/site-packages/dask/array/core.py:3020: in
(asanyarray(a) if ind is not None else a, ind) for a, ind in partition(2, args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
a = array(['2019-01-01T00:00:00.000000000', '2019-01-02T00:00:00.000000000',
'2019-01-03T00:00:00.000000000', '2019-01-04T00:00:00.000000000',
'2019-01-05T00:00:00.000000000'], dtype='datetime64[ns]')
def asanyarray(a):
""""""Convert the input to a dask array.
Subclasses of ``np.ndarray`` will be passed through as chunks unchanged.
Parameters
----------
a : array-like
Input data, in any form that can be converted to a dask array.
Returns
-------
out : dask array
Dask array interpretation of a.
Examples
--------
>>> import dask.array as da
>>> import numpy as np
>>> x = np.arange(3)
>>> da.asanyarray(x)
dask.array
>>> y = [[1, 2, 3], [4, 5, 6]]
>>> da.asanyarray(y)
dask.array
""""""
if isinstance(a, Array):
return a
elif hasattr(a, ""to_dask_array""):
return a.to_dask_array()
> elif hasattr(a, ""data"") and type(a).__module__.startswith(""xarray.""):
E ValueError: cannot include dtype 'M' in a buffer
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,544661257
https://github.com/pydata/xarray/pull/3660#issuecomment-572615681,https://api.github.com/repos/pydata/xarray/issues/3660,572615681,MDEyOklzc3VlQ29tbWVudDU3MjYxNTY4MQ==,2448579,2020-01-09T15:36:06Z,2020-01-09T15:36:06Z,MEMBER,"The test failed because `meta` was not valid for `dask==1.2`
Our minimum versions policy says we can bump dask to 2.1.0.
`dask 1.2 (2019-04-13) 2.1 (2019-07-08) <`
So I've bumped the min dask version and added `meta` as a kwarg to `apply_ufunc`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,544661257