issues: 1404926762

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1404926762 I_kwDOAMm_X85TvXsq 7154 nightly failure with h5netcdf indexing 2448579 closed 0     8 2022-10-11T16:32:33Z 2022-10-12T14:11:04Z 2022-10-12T14:11:04Z MEMBER      

What happened?

From upstream-dev CI: Workflow Run URL

Python 3.10 Test Summary ``` xarray/tests/test_backends.py::TestH5NetCDFData::test_orthogonal_indexing: AssertionError: Left and right Dataset objects are not identical Differing coordinates: L numbers (dim3) int64 0 1 2 0 0 R numbers (dim3) int64 ... L * dim3 (dim3) <U1 'a' 'b' 'c' 'd' 'e' R * dim3 (dim3) object 'a' 'b' 'c' 'd' 'e' Differing data variables: L var3 (dim3, dim1) float64 -0.4059 1.247 -0.3095 ... 0.8073 -0.2758 foo: variable R var3 (dim3, dim1) float64 ... foo: variable L var2 (dim1, dim2) float64 0.3307 -1.768 -1.454 ... -0.6426 2.697 0.4849 foo: variable R var2 (dim1, dim2) float64 ... foo: variable L var1 (dim1, dim2) float64 -1.639 1.625 0.3936 ... -0.8715 0.2285 -0.0473 foo: variable R var1 (dim1, dim2) float64 ... foo: variable xarray/tests/test_backends.py::TestH5NetCDFData::test_vectorized_indexing: AttributeError: 'list' object has no attribute 'stop' xarray/tests/test_backends.py::TestH5NetCDFData::test_isel_dataarray: AssertionError: Left and right Dataset objects are not identical Differing data variables: L var2 (dim1, dim2) float64 0.6563 0.3721 1.274 ... 1.106 -0.2169 1.502 foo: variable R var2 (dim1, dim2) float64 ... foo: variable L var1 (dim1, dim2) float64 0.2482 0.4837 2.044 ... -0.8528 -1.536 -0.3347 foo: variable R var1 (dim1, dim2) float64 ... foo: variable xarray/tests/test_backends.py::TestH5NetCDFData::test_array_type_after_indexing: AssertionError: Left and right Dataset objects are not identical Differing coordinates: L numbers (dim3) int64 0 1 2 0 0 R numbers (dim3) int64 ... L * dim3 (dim3) <U1 'a' 'b' 'c' 'd' 'e' R * dim3 (dim3) object 'a' 'b' 'c' 'd' 'e' Differing data variables: L var3 (dim3, dim1) float64 -0.02351 -2.274 0.9986 ... -1.546 0.1454 foo: variable R var3 (dim3, dim1) float64 ... foo: variable L var2 (dim1, dim2) float64 0.7681 1.803 1.406 ... 1.524 0.5592 -0.5456 foo: variable R var2 (dim1, dim2) float64 ... foo: variable L var1 (dim1, dim2) float64 0.8966 -0.1489 0.3954 ... -0.689 -0.9191 foo: variable R var1 (dim1, dim2) float64 ... foo: variable xarray/tests/test_backends.py::TestH5NetCDFFileObject::test_orthogonal_indexing: AssertionError: Left and right Dataset objects are not identical Differing coordinates: L numbers (dim3) int64 0 1 2 0 0 R numbers (dim3) int64 ... L * dim3 (dim3) <U1 'a' 'b' 'c' 'd' 'e' R * dim3 (dim3) object 'a' 'b' 'c' 'd' 'e' Differing data variables: L var3 (dim3, dim1) float64 -0.4183 -0.3932 -0.01572 ... 0.6842 -0.4205 foo: variable R var3 (dim3, dim1) float64 ... foo: variable L var2 (dim1, dim2) float64 1.008 0.4886 -1.046 ... -1.152 -0.8104 1.077 foo: variable R var2 (dim1, dim2) float64 ... foo: variable L var1 (dim1, dim2) float64 -1.11 -0.3574 -1.076 ... 0.7554 0.1688 0.5749 foo: variable R var1 (dim1, dim2) float64 ... foo: variable xarray/tests/test_backends.py::TestH5NetCDFFileObject::test_vectorized_indexing: AttributeError: 'list' object has no attribute 'stop' xarray/tests/test_backends.py::TestH5NetCDFFileObject::test_isel_dataarray: AssertionError: Left and right Dataset objects are not identical Differing data variables: L var2 (dim1, dim2) float64 0.2409 0.5855 1.56 ... 0.4115 -0.4185 0.6749 foo: variable R var2 (dim1, dim2) float64 ... foo: variable L var1 (dim1, dim2) float64 -1.05 0.8272 -1.445 ... 0.3286 -0.05075 0.9352 foo: variable R var1 (dim1, dim2) float64 ... foo: variable xarray/tests/test_backends.py::TestH5NetCDFFileObject::test_array_type_after_indexing: AssertionError: Left and right Dataset objects are not identical Differing coordinates: L numbers (dim3) int64 0 1 2 0 0 R numbers (dim3) int64 ... L * dim3 (dim3) <U1 'a' 'b' 'c' 'd' 'e' R * dim3 (dim3) object 'a' 'b' 'c' 'd' 'e' Differing data variables: L var3 (dim3, dim1) float64 -0.8477 0.8072 0.4219 ... 0.2703 0.5475 -1.696 foo: variable R var3 (dim3, dim1) float64 ... foo: variable L var2 (dim1, dim2) float64 -0.9968 0.1141 0.7767 ... 0.09977 -0.7788 foo: variable R var2 (dim1, dim2) float64 ... foo: variable L var1 (dim1, dim2) float64 2.949 -0.4085 0.7757 ... -0.2474 2.141 1.753 foo: variable R var1 (dim1, dim2) float64 ... foo: variable xarray/tests/test_formatting.py::test__mapping_repr_recursive: ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part. ``` </details>

cc @benbovy @kmuehlbauer

Environment

INSTALLED VERSIONS ------------------ commit: 8eea8bb67bad0b5ac367c082125dd2b2519d4f52 python: 3.10.6 | packaged by conda-forge | (main, Aug 22 2022, 20:35:26) [GCC 10.4.0] python-bits: 64 OS: Linux OS-release: 5.15.0-1020-azure machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: C.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.2 libnetcdf: 4.8.1 xarray: 2022.9.1.dev12+g8eea8bb6 pandas: 1.6.0.dev0+297.g55dc32437e numpy: 1.24.0.dev0+896.g5ecaf36cd scipy: 1.10.0.dev0+2012.5be8bc4 netCDF4: 1.6.0 pydap: installed h5netcdf: 1.1.0.dev5+g1168b4f h5py: 3.7.0 Nio: None zarr: 2.13.4.dev1 cftime: 1.6.2 nc_time_axis: 1.3.1.dev34+g0999938 PseudoNetCDF: 3.2.2 rasterio: 1.4dev cfgrib: 0.9.10.2 iris: 3.3.1 bottleneck: 1.3.5 dask: 2022.9.2+17.g5ba240b9 distributed: 2022.9.2+19.g07e22593 matplotlib: 3.7.0.dev320+g834c89c512 cartopy: 0.21.0 seaborn: 0.12.0 numbagg: None fsspec: 2022.8.2+14.g3969aaf cupy: None pint: 0.19.3.dev87+g052a920 sparse: None flox: 0.5.11.dev3+g031979d numpy_groupies: 0.9.19 setuptools: 65.4.1 pip: 22.2.2 conda: None pytest: 7.1.3 IPython: None sphinx: None 
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