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⚠️ Nightly upstream-dev CI failed ⚠️ #1337

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github-actions bot opened this issue Mar 28, 2023 · 0 comments · Fixed by #1354
Closed

⚠️ Nightly upstream-dev CI failed ⚠️ #1337

github-actions bot opened this issue Mar 28, 2023 · 0 comments · Fixed by #1354
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github-actions bot commented Mar 28, 2023 •
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Python 3.10 Test Summary 
tests/test_bootstrapping.py::Test_bootstrap::test_bootstrap_fraction_over_precip_thresh[True]: AssertionError: assert 0 > 0
 +  where 0 = <function count_nonzero at 0x7f3e1f98b130>(<xarray.DataArray 'pr' (time: 24, percentiles: 1)>\ndask.array<getitem, shape=(24, 1), dtype=float64, chunksize=(12, 1), chunktype=numpy.ndarray>\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) datetime64[ns] 2000-01-01 2000-02-01 ... 2001-12-01\nAttributes:\n    units:     > <xarray.DataArray 'pr' (time: 24, percentiles: 1)>\ndask.array<getitem, shape=(24, 1), dtype=float64, chunksize=(3, 1), chunktype=numpy.ndarray>\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) datetime64[ns] 2000-01-01 2000-02-01 ... 2001-12-01\nAttributes:\n    units:    )
 +    where <function count_nonzero at 0x7f3e1f98b130> = np.count_nonzero
 +  and   0 = <function count_nonzero at 0x7f3e1f98b130>(<xarray.DataArray 'pr' (time: 24, percentiles: 1)>\ndask.array<getitem, shape=(24, 1), dtype=float64, chunksize=(12, 1), chunktype=numpy.ndarray>\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) datetime64[ns] 2000-01-01 2000-02-01 ... 2001-12-01\nAttributes:\n    units:     < <xarray.DataArray 'pr' (time: 24, percentiles: 1)>\ndask.array<getitem, shape=(24, 1), dtype=float64, chunksize=(3, 1), chunktype=numpy.ndarray>\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) datetime64[ns] 2000-01-01 2000-02-01 ... 2001-12-01\nAttributes:\n    units:    )
 +    where <function count_nonzero at 0x7f3e1f98b130> = np.count_nonzero
tests/test_bootstrapping.py::Test_bootstrap::test_bootstrap_fraction_over_precip_thresh[False]: AssertionError: assert 0 > 0
 +  where 0 = <function count_nonzero at 0x7f3e1f98b130>(<xarray.DataArray 'pr' (time: 24, percentiles: 1)>\narray([[0.55226779],\n       [0.02889637],\n       [0.46263188],\n       [0.09608782],\n       [0.19599695],\n       [0.17740765],\n       [0.57787804],\n       [0.10259128],\n       [0.53601115],\n       [0.30032055],\n       [0.18488194],\n       [0.14720672],\n       [0.27094142],\n       [0.93900839],\n       [0.75324891],\n       [0.63421742],\n       [0.86354634],\n       [0.43439506],\n       [0.38807789],\n       [0.66611173],\n       [0.55383821],\n       [0.42761782],\n       [0.37848744],\n       [0.41073584]])\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) datetime64[ns] 2000-01-01 2000-02-01 ... 2001-12-01\nAttributes:\n    units:     > <xarray.DataArray 'pr' (time: 24, percentiles: 1)>\narray([[nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan]])\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) datetime64[ns] 2000-01-01 2000-02-01 ... 2001-12-01\nAttributes:\n    units:    )
 +    where <function count_nonzero at 0x7f3e1f98b130> = np.count_nonzero
 +  and   0 = <function count_nonzero at 0x7f3e1f98b130>(<xarray.DataArray 'pr' (time: 24, percentiles: 1)>\narray([[0.55226779],\n       [0.02889637],\n       [0.46263188],\n       [0.09608782],\n       [0.19599695],\n       [0.17740765],\n       [0.57787804],\n       [0.10259128],\n       [0.53601115],\n       [0.30032055],\n       [0.18488194],\n       [0.14720672],\n       [0.27094142],\n       [0.93900839],\n       [0.75324891],\n       [0.63421742],\n       [0.86354634],\n       [0.43439506],\n       [0.38807789],\n       [0.66611173],\n       [0.55383821],\n       [0.42761782],\n       [0.37848744],\n       [0.41073584]])\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) datetime64[ns] 2000-01-01 2000-02-01 ... 2001-12-01\nAttributes:\n    units:     < <xarray.DataArray 'pr' (time: 24, percentiles: 1)>\narray([[nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan]])\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) datetime64[ns] 2000-01-01 2000-02-01 ... 2001-12-01\nAttributes:\n    units:    )
 +    where <function count_nonzero at 0x7f3e1f98b130> = np.count_nonzero
tests/test_bootstrapping.py::Test_bootstrap::test_bootstrap_cftime: AssertionError: assert 0 > 0
 +  where 0 = <function count_nonzero at 0x7f3e1f98b130>(<xarray.DataArray 'pr' (time: 24, percentiles: 1)>\narray([[0.22700575],\n       [       nan],\n       [0.33297217],\n       [0.24790349],\n       [0.20204486],\n       [0.31032295],\n       [0.07502732],\n       [0.83933314],\n       [0.60433104],\n       [0.41006123],\n       [0.17300958],\n       [0.40252527],\n       [0.33333731],\n       [0.49733943],\n       [0.23584051],\n       [0.39900298],\n       [0.33348006],\n       [0.20602705],\n       [0.56912994],\n       [0.07832815],\n       [0.35976387],\n       [0.44118435],\n       [0.48072937],\n       [0.53417846]])\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) object 2000-01-01 00:00:00 ... 2001-12-01 00:00:00\nAttributes:\n    units:     > <xarray.DataArray 'pr' (time: 24, percentiles: 1)>\narray([[nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan]])\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) object 2000-01-01 00:00:00 ... 2001-12-01 00:00:00\nAttributes:\n    units:    )
 +    where <function count_nonzero at 0x7f3e1f98b130> = np.count_nonzero
 +  and   0 = <function count_nonzero at 0x7f3e1f98b130>(<xarray.DataArray 'pr' (time: 24, percentiles: 1)>\narray([[0.22700575],\n       [       nan],\n       [0.33297217],\n       [0.24790349],\n       [0.20204486],\n       [0.31032295],\n       [0.07502732],\n       [0.83933314],\n       [0.60433104],\n       [0.41006123],\n       [0.17300958],\n       [0.40252527],\n       [0.33333731],\n       [0.49733943],\n       [0.23584051],\n       [0.39900298],\n       [0.33348006],\n       [0.20602705],\n       [0.56912994],\n       [0.07832815],\n       [0.35976387],\n       [0.44118435],\n       [0.48072937],\n       [0.53417846]])\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) object 2000-01-01 00:00:00 ... 2001-12-01 00:00:00\nAttributes:\n    units:     < <xarray.DataArray 'pr' (time: 24, percentiles: 1)>\narray([[nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan],\n       [nan]])\nCoordinates:\n  * percentiles  (percentiles) int64 98\n  * time         (time) object 2000-01-01 00:00:00 ... 2001-12-01 00:00:00\nAttributes:\n    units:    )
 +    where <function count_nonzero at 0x7f3e1f98b130> = np.count_nonzero
@github-actions github-actions bot added the CI Automation and Contiunous Integration label Mar 28, 2023
@aulemahal aulemahal mentioned this issue Apr 21, 2023
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aulemahal added a commit that referenced this issue Apr 21, 2023
@aulemahal
Address API changes in pip and xarray (#1354)
dcbdb10 
<!--Please ensure the PR fulfills the following requirements! -->
<!-- If this is your first PR, make sure to add your details to the
AUTHORS.rst! -->
### Pull Request Checklist:
- [x] This PR addresses an already opened issue (for bug fixes /
features)
    - This PR fixes #1337.
- [x] Tests for the changes have been added (for bug fixes / features)
- [ ] (If applicable) Documentation has been added / updated (for bug
fixes / features)
- [x] CHANGES.rst has been updated (with summary of main changes)
- [x] Link to issue (:issue:`number`) and pull request (:pull:`number`)
has been added

### What kind of change does this PR introduce?

* Fixes the installation steps for sbck in tox
* New xarray changes behaviour when summing an all-NaN period with
`resample`. It now returns NaN, whereas earlier it returned 0. This
broke `fraction_over_precip_thresh`, where some values where masked. It
is now fixed by replacing masked values with 0.

### Does this PR introduce a breaking change?

No?

### Other information:
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Address API changes in pip and xarray Ouranosinc/xclim
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