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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 |
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1046454702 | I_kwDOAMm_X84-X6Gu | 5944 | Backend / plugin system `remove_duplicates` raises AttributeError on discovering duplicates | ashwinvis 9155111 | closed | 0 | 11 | 2021-11-06T07:46:38Z | 2021-11-15T17:33:43Z | 2021-11-15T17:33:43Z | CONTRIBUTOR | What happened: In one of my CI runs somehow the entrypoints ended up being defined twice. Then, I discovered that the function What you expected to happen: No bugs in Minimal Complete Verifiable Example: ```python Put your MCVE code herefrom xarray.backends.plugins import remove_duplicates from importlib.metadata import entry_points eps = entry_points().get('xarray.backends', ()) remove_duplicates(eps) remove_duplicates(eps + eps) ``` ``` <ipython-input-12-22df5e55614a>:1: DeprecationWarning: EntryPoints list interface is deprecated. Cast to list if needed. remove_duplicates(eps + eps) AttributeError Traceback (most recent call last) <ipython-input-12-22df5e55614a> in <module> ----> 1 remove_duplicates(eps + eps) ~/.pyenv/versions/3.9.7/envs/pymech/lib/python3.9/site-packages/xarray/backends/plugins.py in remove_duplicates(entrypoints) 27 matches_len = len(matches) 28 if matches_len > 1: ---> 29 selected_module_name = matches[0].module_name 30 all_module_names = [e.module_name for e in matches] 31 warnings.warn( AttributeError: 'EntryPoint' object has no attribute 'module_name' ``` Anything else we need to know?: Following v0.20.0 the entrypoints were discovered using Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.9.7 (default, Nov 3 2021, 09:51:04) [GCC 11.1.0] python-bits: 64 OS: Linux OS-release: 5.10.75-1-lts machine: x86_64 processor: byteorder: little LC_ALL: None LANG: C LOCALE: (None, None) libhdf5: 1.12.1 libnetcdf: None xarray: 0.20.1 pandas: 1.3.4 numpy: 1.21.3 scipy: None netCDF4: None pydap: None h5netcdf: 0.11.0 h5py: 3.5.0 Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: 1.2.10 cfgrib: None iris: None bottleneck: None dask: 2021.10.0 distributed: None matplotlib: None cartopy: None seaborn: None numbagg: None fsspec: 2021.10.1 cupy: None pint: None sparse: None setuptools: 57.4.0 pip: 21.3.1 conda: None pytest: 6.2.5 IPython: 7.29.0 sphinx: 4.2.0 |
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completed | xarray 13221727 | issue | ||||||
1043276928 | I_kwDOAMm_X84-LySA | 5930 | Regression: 3rd party backends are not discovered with `xarray==0.20.0` | ashwinvis 9155111 | closed | 0 | 7 | 2021-11-03T09:25:48Z | 2021-11-11T10:06:47Z | 2021-11-03T16:55:55Z | CONTRIBUTOR | What happened:
I am a library developer for What you expected to happen: Backends can be discovered while using Minimal Complete Verifiable Example: Since ```py test.pyfrom xarray.backends import plugins print("engines =", plugins.list_engines()) plugins.get_backend("rasterio") ``` ```sh $ pip install xarray==0.19.0 rioxarray $ python test.py engines = {'rasterio': <rioxarray.xarray_plugin.RasterioBackend object at 0x7f7adca15d00>, 'store': <xarray.backends.store.StoreBackendEntrypoint object at 0x7f7adca647c0>} $ pip install xarray==0.20.0 $ python test.py engines = {'store': <xarray.backends.store.StoreBackendEntrypoint object at 0x7fd99138efa0>} Traceback (most recent call last): File "<string>", line 1, in <module> File "/tmp/venv/lib/python3.9/site-packages/xarray/backends/plugins.py", line 164, in get_backend raise ValueError( ValueError: unrecognized engine rasterio must be one of: ['store'] ``` Anything else we need to know?: Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.9.7 (default, Oct 10 2021, 15:13:22) [GCC 11.1.0] python-bits: 64 OS: Linux OS-release: 5.10.75-1-lts machine: x86_64 processor: byteorder: little LC_ALL: None LANG: C LOCALE: (None, None) libhdf5: None libnetcdf: None xarray: 0.20.0 pandas: 1.3.4 numpy: 1.21.3 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: 1.2.10 cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: None cartopy: None seaborn: None numbagg: None fsspec: None cupy: None pint: None sparse: None setuptools: 57.4.0 pip: 21.2.3 conda: None pytest: None IPython: 7.29.0 sphinx: None |
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completed | xarray 13221727 | issue |
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