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/2936#issuecomment-490969141,https://api.github.com/repos/pydata/xarray/issues/2936,490969141,MDEyOklzc3VlQ29tbWVudDQ5MDk2OTE0MQ==,1217238,2019-05-09T16:13:29Z,2019-05-09T16:13:29Z,MEMBER,"Don't worry about it, this happens. If you can't figure out an immediate
fix, please just mark the tests as ""xfail"" so they don't block other PRs.
I'm pretty sure the issue here is in the tests, not your fix.

On Thu, May 9, 2019 at 9:08 AM Martin Pletcher <notifications@github.com>
wrote:

> Sure. I'm looking into it now.
>
> Sorry about that.
>
> —
> You are receiving this because you commented.
> Reply to this email directly, view it on GitHub
> <https://github.com/pydata/xarray/pull/2936#issuecomment-490967152>, or mute
> the thread
> <https://github.com/notifications/unsubscribe-auth/AAJJFVWYEUWLGSDKNURDUWTPURD6RANCNFSM4HKLQTTQ>
> .
>
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,439823329
https://github.com/pydata/xarray/pull/2936#issuecomment-490964929,https://api.github.com/repos/pydata/xarray/issues/2936,490964929,MDEyOklzc3VlQ29tbWVudDQ5MDk2NDkyOQ==,1217238,2019-05-09T16:02:07Z,2019-05-09T16:02:07Z,MEMBER,"It seems xarray (mistakenly?) relies on the immutability of index data somewhere else, and hence reuses the same pandas.Index object for data in both `data` and `coords`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,439823329
https://github.com/pydata/xarray/pull/2936#issuecomment-490963840,https://api.github.com/repos/pydata/xarray/issues/2936,490963840,MDEyOklzc3VlQ29tbWVudDQ5MDk2Mzg0MA==,1217238,2019-05-09T15:59:03Z,2019-05-09T15:59:03Z,MEMBER,"Can you take a look at the test failures on Windows? These seem to be due to your charge:
```
================================== FAILURES ===================================
____________ TestDataArray.test_copy_coords[False-expected_orig1] _____________
self = <xarray.tests.test_dataarray.TestDataArray object at 0x000000AAE0637F28>
deep = False
expected_orig = <xarray.DataArray 'a' (a: 2)>
array([999,   2])
Coordinates:
  * a        (a) int32 999 2
    @pytest.mark.parametrize('deep, expected_orig', [
        [True,
         xr.DataArray(xr.IndexVariable('a', np.array([1, 2])),
                      coords={'a': [1, 2]}, dims=['a'])],
        [False,
         xr.DataArray(xr.IndexVariable('a', np.array([999, 2])),
                      coords={'a': [999, 2]}, dims=['a'])]])
    def test_copy_coords(self, deep, expected_orig):
        da = xr.DataArray(
            np.ones([2, 2, 2]),
            coords={'a': [1, 2], 'b': ['x', 'y'], 'c': [0, 1]},
            dims=['a', 'b', 'c'])
        da_cp = da.copy(deep)
        da_cp['a'].data[0] = 999
    
        expected_cp = xr.DataArray(
            xr.IndexVariable('a', np.array([999, 2])),
            coords={'a': [999, 2]}, dims=['a'])
>       assert_identical(da_cp['a'], expected_cp)
xarray\tests\test_dataarray.py:3342: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
a = <xarray.DataArray 'a' (a: 2)>
array([1, 2])
Coordinates:
  * a        (a) int32 1 2
b = <xarray.DataArray 'a' (a: 2)>
array([999,   2])
Coordinates:
  * a        (a) int32 999 2
    def assert_identical(a, b):
>       xarray.testing.assert_identical(a, b)
E       AssertionError: Left and right DataArray objects are not identical
E       
E       Differing values:
E       L
E           array([1, 2])
E       R
E           array([999,   2])
E       Differing coordinates:
E       L * a        (a) int32 1 2
E       R * a        (a) int32 999 2
xarray\tests\__init__.py:195: AssertionError
_____________ TestDataset.test_copy_coords[False-expected_orig1] ______________
self = <xarray.tests.test_dataset.TestDataset object at 0x000000AAE05256A0>
deep = False
expected_orig = <xarray.DataArray 'a' (a: 2)>
array([999,   2])
Coordinates:
  * a        (a) int32 999 2
    @pytest.mark.parametrize('deep, expected_orig', [
        [True,
         xr.DataArray(xr.IndexVariable('a', np.array([1, 2])),
                      coords={'a': [1, 2]}, dims=['a'])],
        [False,
         xr.DataArray(xr.IndexVariable('a', np.array([999, 2])),
                      coords={'a': [999, 2]}, dims=['a'])]])
    def test_copy_coords(self, deep, expected_orig):
        ds = xr.DataArray(
            np.ones([2, 2, 2]),
            coords={'a': [1, 2], 'b': ['x', 'y'], 'c': [0, 1]},
            dims=['a', 'b', 'c'],
            name='value').to_dataset()
        ds_cp = ds.copy(deep=deep)
        ds_cp.coords['a'].data[0] = 999
    
        expected_cp = xr.DataArray(
            xr.IndexVariable('a', np.array([999, 2])),
            coords={'a': [999, 2]}, dims=['a'])
>       assert_identical(ds_cp.coords['a'], expected_cp)
xarray\tests\test_dataset.py:1993: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
a = <xarray.DataArray 'a' (a: 2)>
array([1, 2])
Coordinates:
  * a        (a) int32 1 2
b = <xarray.DataArray 'a' (a: 2)>
array([999,   2])
Coordinates:
  * a        (a) int32 999 2
    def assert_identical(a, b):
>       xarray.testing.assert_identical(a, b)
E       AssertionError: Left and right DataArray objects are not identical
E       
E       Differing values:
E       L
E           array([1, 2])
E       R
E           array([999,   2])
E       Differing coordinates:
E       L * a        (a) int32 1 2
E       R * a        (a) int32 999 2
xarray\tests\__init__.py:195: AssertionError
============================== warnings summary ===============================
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,439823329