Add keep_variables keyword to open_dataset() #10377
claytharrisonci.yaml
on: pull_request
detect ci trigger
3s
Event File
7s
Matrix: test
Annotations
43 errors
|
ubuntu-latest py3.10 all-but-dask:
xarray/tests/test_groupby.py#L1594
TestDataArrayGroupBy.test_groupby_bins_sort
AssertionError: Left and right DataArray objects are not identical
Differing values:
L
array([1.407101e+14, 1.407101e+14, nan, nan, nan,
nan, 4.621307e+18, 4.628370e+18, 4.631594e+18, 4.634153e+18,
4.635458e+18])
R
array([10, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9])
|
|
ubuntu-latest py3.10 all-but-dask:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-data]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
<Quantity([[ nan nan 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
R
<Quantity([[0. 0. 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
|
|
ubuntu-latest py3.10 all-but-dask:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-coords]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[ nan, nan, 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
R
array([[0. , 0. , 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
|
|
ubuntu-latest py3.10 all-but-dask:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-data-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 <Quantity([[nan nan nan nan nan] [1. 1.5 2...
R a (x_bins, y) float64 <Quantity([[-3.5 -2.5 -2. -1.5 -1. ] [ 1. ...
|
|
ubuntu-latest py3.10 all-but-dask:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-coords-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 nan nan nan nan nan 1.0 1.5 2.0 2.5 3.5
R a (x_bins, y) float64 -3.5 -2.5 -2.0 -1.5 -1.0 1.0 1.5 2.0 2.5 3.5
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ubuntu-latest py3.10 all-but-dask
Process completed with exit code 1.
|
|
ubuntu-latest py3.10 flaky:
xarray/tests/test_groupby.py#L1594
TestDataArrayGroupBy.test_groupby_bins_sort
AssertionError: Left and right DataArray objects are not identical
Differing values:
L
array([9.489532e+13, nan, 9.488409e+13, 3.300000e+01, 9.488409e+13,
9.488410e+13, 6.400000e+01, 3.200000e+01, 9.489532e+13, 1.000000e+02,
9.600000e+01])
R
array([10, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9])
|
|
ubuntu-latest py3.10 flaky:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-data]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
<Quantity([[ nan nan 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
R
<Quantity([[0. 0. 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
|
|
ubuntu-latest py3.10 flaky:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-coords]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[ nan, nan, 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
R
array([[0. , 0. , 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
|
|
ubuntu-latest py3.10 flaky:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-data-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 <Quantity([[nan nan nan nan nan] [1. 1.5 2...
R a (x_bins, y) float64 <Quantity([[-3.5 -2.5 -2. -1.5 -1. ] [ 1. ...
|
|
ubuntu-latest py3.10 flaky:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-coords-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 nan nan nan nan nan 1.0 1.5 2.0 2.5 3.5
R a (x_bins, y) float64 -3.5 -2.5 -2.0 -1.5 -1.0 1.0 1.5 2.0 2.5 3.5
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ubuntu-latest py3.10 flaky
Process completed with exit code 1.
|
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ubuntu-latest py3.11:
xarray/tests/test_groupby.py#L1594
TestDataArrayGroupBy.test_groupby_bins_sort
AssertionError: Left and right DataArray objects are not identical
Differing values:
L
array([1.397595e+14, 9.484913e+13, 9.484914e+13, 9.484913e+13, 4.800000e+01,
6.400000e+01, 9.486155e+13, 9.484913e+13, 9.484913e+13, 9.484913e+13,
1.397587e+14])
R
array([10, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9])
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|
ubuntu-latest py3.11:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-data]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
<Quantity([[ nan nan 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
R
<Quantity([[0. 0. 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
|
|
ubuntu-latest py3.11:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-coords]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[ nan, nan, 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
R
array([[0. , 0. , 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
|
|
ubuntu-latest py3.11:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-data-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 <Quantity([[nan nan nan nan nan] [1. 1.5 2...
R a (x_bins, y) float64 <Quantity([[-3.5 -2.5 -2. -1.5 -1. ] [ 1. ...
|
|
ubuntu-latest py3.11:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-coords-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 nan nan nan nan nan 1.0 1.5 2.0 2.5 3.5
R a (x_bins, y) float64 -3.5 -2.5 -2.0 -1.5 -1.0 1.0 1.5 2.0 2.5 3.5
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ubuntu-latest py3.11
Process completed with exit code 1.
|
|
ubuntu-latest py3.9:
xarray/tests/test_groupby.py#L1594
TestDataArrayGroupBy.test_groupby_bins_sort
AssertionError: Left and right DataArray objects are not identical
Differing values:
L
array([1.402887e+14, 1.402887e+14, 1.000000e+00, 2.000000e+00, 4.294967e+09,
2.570000e+02, 1.402887e+14, 1.402887e+14, 1.402886e+14, 3.300000e+01,
9.445383e+13])
R
array([10, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9])
|
|
ubuntu-latest py3.9:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-data]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
<Quantity([[ nan nan 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
R
<Quantity([[0. 0. 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
|
|
ubuntu-latest py3.9:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-coords]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[ nan, nan, 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
R
array([[0. , 0. , 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
|
|
ubuntu-latest py3.9:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-data-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 <Quantity([[nan nan nan nan nan] [1. 1.5 2...
R a (x_bins, y) float64 <Quantity([[-3.5 -2.5 -2. -1.5 -1. ] [ 1. ...
|
|
ubuntu-latest py3.9:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-coords-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 nan nan nan nan nan 1.0 1.5 2.0 2.5 3.5
R a (x_bins, y) float64 -3.5 -2.5 -2.0 -1.5 -1.0 1.0 1.5 2.0 2.5 3.5
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ubuntu-latest py3.9
Process completed with exit code 1.
|
|
windows-latest py3.9:
xarray\tests\test_groupby.py#L1588
TestDataArrayGroupBy.test_groupby_bins_sort
AssertionError: assert False
+ where False = Index([nan, 14.0, 23.0, 32.0, 41.0, 50.0, 59.0, 68.0, 77.0, 86.0, 95.0], dtype='float64', name='x_bins').is_monotonic_increasing
+ where Index([nan, 14.0, 23.0, 32.0, 41.0, 50.0, 59.0, 68.0, 77.0, 86.0, 95.0], dtype='float64', name='x_bins') = <bound method DataArray.to_index of <xarray.DataArray (x_bins: 11)>\narray([nan, 14., 23., 32., 41., 50., 59., 68., 77., 86., 95.])\nCoordinates:\n * x_bins (x_bins) object (-100.2, -81.818] ... (81.818, 100.0]>()
+ where <bound method DataArray.to_index of <xarray.DataArray (x_bins: 11)>\narray([nan, 14., 23., 32., 41., 50., 59., 68., 77., 86., 95.])\nCoordinates:\n * x_bins (x_bins) object (-100.2, -81.818] ... (81.818, 100.0]> = <xarray.DataArray (x_bins: 11)>\narray([nan, 14., 23., 32., 41., 50., 59., 68., 77., 86., 95.])\nCoordinates:\n * x_bins (x_bins) object (-100.2, -81.818] ... (81.818, 100.0].to_index
|
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windows-latest py3.9:
xarray\tests\test_groupby.py#L893
test_groupby_bins_cut_kwargs[True]
AssertionError: Left and right DataArray objects are not identical
Differing values:
L
array([[ 1., 2.],
[ 5., 6.],
[ 9., 10.]])
R
array([[ 1., nan],
[nan, 6.],
[ 9., 10.]])
|
|
windows-latest py3.9:
xarray\tests\test_units.py#L3869
TestDataArray.test_computation_objects[int32-method_groupby_bins-data]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
<Quantity([[ nan 0. nan 1. ]
[ nan 2. nan 3. ]
[ nan 4. nan 5. ]
[ nan 6. nan 7. ]
[ nan 8. nan 9.333333]], 'meter')>
R
<Quantity([[0. 0. 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
|
|
windows-latest py3.9:
xarray\tests\test_units.py#L3869
TestDataArray.test_computation_objects[int32-method_groupby_bins-coords]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[ nan, 0. , nan, 1. ],
[ nan, 2. , nan, 3. ],
[ nan, 4. , nan, 5. ],
[ nan, 6. , nan, 7. ],
[ nan, 8. , nan, 9.333333]])
R
array([[0. , 0. , 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
|
|
windows-latest py3.9:
xarray\tests\test_units.py#L5350
TestDataset.test_computation_objects[int32-data-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L b (x_bins, z) float64 <Quantity([[ nan nan nan] [ nan 17.5 18.5...
R b (x_bins, z) float64 <Quantity([[11. 11.5 12.5] [16.5 17.5 18.5...
L a (x_bins, y) float64 <Quantity([[nan nan nan nan nan] [nan 1.5 2...
R a (x_bins, y) float64 <Quantity([[-3.5 -2.5 -2. -1.5 -1. ] [ 1. ...
|
|
windows-latest py3.9:
xarray\tests\test_units.py#L5350
TestDataset.test_computation_objects[int32-coords-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L b (x_bins, z) float64 nan nan nan nan 17.5 18.5
R b (x_bins, z) float64 11.0 11.5 12.5 16.5 17.5 18.5
L a (x_bins, y) float64 nan nan nan nan nan nan 1.5 2.0 2.5 3.5
R a (x_bins, y) float64 -3.5 -2.5 -2.0 -1.5 -1.0 1.0 1.5 2.0 2.5 3.5
|
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windows-latest py3.9
Process completed with exit code 1.
|
|
macos-latest py3.9:
xarray/tests/test_groupby.py#L1594
TestDataArrayGroupBy.test_groupby_bins_sort
AssertionError: Left and right DataArray objects are not identical
Differing values:
L
array([ nan, 1.055531e+14, 1.055531e+14, 1.055531e+14, 1.403594e+14,
nan, 4.294967e+09, nan, nan, nan,
nan])
R
array([10, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9])
|
|
macos-latest py3.9:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-data]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
<Quantity([[ nan nan 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
R
<Quantity([[0. 0. 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
|
|
macos-latest py3.9:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-coords]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[ nan, nan, 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
R
array([[0. , 0. , 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
|
|
macos-latest py3.9:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-data-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 <Quantity([[nan nan nan nan nan] [1. 1.5 2...
R a (x_bins, y) float64 <Quantity([[-3.5 -2.5 -2. -1.5 -1. ] [ 1. ...
|
|
macos-latest py3.9:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-coords-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 nan nan nan nan nan 1.0 1.5 2.0 2.5 3.5
R a (x_bins, y) float64 -3.5 -2.5 -2.0 -1.5 -1.0 1.0 1.5 2.0 2.5 3.5
|
|
macos-latest py3.9
Process completed with exit code 1.
|
|
macos-latest py3.11:
xarray/tests/test_groupby.py#L1594
TestDataArrayGroupBy.test_groupby_bins_sort
AssertionError: Left and right DataArray objects are not identical
Differing values:
L
array([ nan, 1.055532e+14, 1.055532e+14, 1.055532e+14, 1.405563e+14,
nan, 4.294967e+09, nan, nan, nan,
nan])
R
array([10, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9])
|
|
macos-latest py3.11:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-data]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
<Quantity([[ nan nan 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
R
<Quantity([[0. 0. 1. 1. ]
[2. 2. 3. 3. ]
[4. 4. 5. 5. ]
[6. 6. 7. 7. ]
[8. 8. 9. 9.333333]], 'meter')>
|
|
macos-latest py3.11:
xarray/tests/test_units.py#L3869
TestDataArray.test_computation_objects[int64-method_groupby_bins-coords]
AssertionError: Left and right DataArray objects are not close
Differing values:
L
array([[ nan, nan, 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
R
array([[0. , 0. , 1. , 1. ],
[2. , 2. , 3. , 3. ],
[4. , 4. , 5. , 5. ],
[6. , 6. , 7. , 7. ],
[8. , 8. , 9. , 9.333333]])
|
|
macos-latest py3.11:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-data-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 <Quantity([[nan nan nan nan nan] [1. 1.5 2...
R a (x_bins, y) float64 <Quantity([[-3.5 -2.5 -2. -1.5 -1. ] [ 1. ...
|
|
macos-latest py3.11:
xarray/tests/test_units.py#L5350
TestDataset.test_computation_objects[int64-coords-method_groupby_bins]
AssertionError: Left and right Dataset objects are not close
Differing data variables:
L a (x_bins, y) float64 nan nan nan nan nan 1.0 1.5 2.0 2.5 3.5
R a (x_bins, y) float64 -3.5 -2.5 -2.0 -1.5 -1.0 1.0 1.5 2.0 2.5 3.5
|
|
macos-latest py3.11
Process completed with exit code 1.
|
Artifacts
Produced during runtime
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|---|---|---|
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Event File
Expired
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28.8 KB |
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Test results for Linux-3.10
Expired
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2.47 MB |
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Test results for Linux-3.11
Expired
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2.47 MB |
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Test results for Linux-3.9
Expired
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2.47 MB |
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Test results for Windows-3.11
Expired
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2.42 MB |
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Test results for Windows-3.9
Expired
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2.46 MB |
|
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Test results for macOS-3.11
Expired
|
2.47 MB |
|
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Test results for macOS-3.9
Expired
|
2.47 MB |
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