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Test on Python 3.11 #2423
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The current conda CI fails to install on python 3.11 with: Run conda create -n env3-11 -c conda-forge python=3.11 fenics-dolfinx mpich
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): ...working... done
Building graph of deps: 0%| | 0/7 [00:00<?, ?it/s]
Examining @/linux-6[4](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:5)::__linux==[5](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:6).15.0=0: 0%| | 0/7 [00:00<?, ?it/s]
Examining @/linux-[6](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:7)4::__glibc==2.35=0: 14%|█▍ | 1/[7](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:8) [00:00<00:00, 4275.54it/s]
Examining mpich: 29%|██▊ | 2/7 [00:00<00:00, 4647.43it/s]
Examining python=3.11: 43%|████▎ | 3/7 [00:00<00:00, 12.[8](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:9)7it/s]
Examining python=3.11: 57%|█████▋ | 4/7 [00:00<00:00, 17.14it/s]
Examining @/linux-64::__unix==0=0: 57%|█████▋ | 4/7 [00:00<00:00, 17.14it/s]
Examining @/linux-64::__archspec==1=x86_64: 71%|███████▏ | 5/7 [00:00<00:00, 17.14it/s]
Examining fenics-dolfinx: 86%|████████▌ | 6/7 [00:00<00:00, 17.14it/s]
Examining fenics-dolfinx: 100%|██████████| 7/7 [00:20<00:00, 17.14it/s]
Determining conflicts: 0%| | 0/7 [00:00<?, ?it/s]
Examining conflict for __glibc mpich: 0%| | 0/7 [00:00<?, ?it/s]
Examining conflict for fenics-dolfinx mpich: 14%|█▍ | 1/7 [00:00<00:00, 35.15it/s]
Examining conflict for fenics-dolfinx mpich python: 2[9](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:10)%|██▊ | 2/7 [00:04<00:11, 2.36s/it]
Examining conflict for fenics-dolfinx mpich python: 43%|████▎ | 3/7 [00:04<00:06, 1.57s/it]
Examining conflict for fenics-dolfinx python: 43%|████▎ | 3/7 [00:23<00:06, 1.57s/it]
Examining conflict for fenics-dolfinx python: 57%|█████▋ | 4/7 [00:23<00:21, 7.16s/it]
Solving environment: ...working...
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package _libgcc_mutex conflicts for:
mpich -> libgcc-ng[version='>=[10](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:11).3.0'] -> _libgcc_mutex[version='*|0.1',build='main|main|conda_forge']
python=3.[11](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:12) -> libgcc-ng[version='>=[12](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:13)'] -> _libgcc_mutex==0.1=conda_forge
fenics-dolfinx -> libgcc-ng[version='>=12'] -> _libgcc_mutex==0.1=conda_forge
Package libstdcxx-ng conflicts for:
fenics-dolfinx -> libstdcxx-ng[version='>=12']
fenics-dolfinx -> mpich[version='>=4.0.2,<5.0a0'] -> libstdcxx-ng[version='>=10.3.0|>=9.4.0|>=7.3.0|>=4.9|>=11.2.0|>=7.5.0|>=9.3.0|>=7.2.0']
Package mpich conflicts for:
fenics-dolfinx -> hdf5[version='>=1.12.2,<1.12.3.0a0',build=mpi_mpich_*] -> mpich[version='3.2.*|>=3.2,<3.3.0a0|>=3.3,<5.0.0a0|>=3.4,<5.0.0a0|>=4.0.1,<5.0a0|>=4.0.2,<4.1.0a0|>=3.3,<3.4.0a0|>=3.4.2,<5.0a0|>=3.4.1,<5.0a0|>=3.3.2,<5.0.0a0|>=3.3.1,<5.0.0a0|>=3.2.1,<3.3.0a0|>=4.0,<4.1.0a0']
mpich
fenics-dolfinx -> mpich[version='>=4.0.2,<5.0a0']
Package libgcc-ng conflicts for:
fenics-dolfinx -> libgcc-ng[version='>=12']
fenics-dolfinx -> cffi -> libgcc-ng[version='>=10.3.0|>=11.2.0|>=4.9|>=7.3.0|>=7.5.0|>=9.3.0|>=9.4.0|>=7.2.0']
Package python conflicts for:
python=3.11
fenics-dolfinx -> cffi -> python[version='2.7.*|3.5.*|3.6.*|3.6.12|3.6.12|3.7.10|3.7.10|3.7.12|3.8.12|3.9.10|>=3.11,<3.12.0a0|>=3.6,<3.7.0a0|3.7.9|3.6.9|3.6.9|3.6.9|>=2.7,<2.8.0a0|3.6.9|>=3.5,<3.6.0a0|3.4.*|>=3.7|3.9.*|3.10.*|3.8.*|3.7.*',build='1_73_pypy|3_73_pypy|4_73_pypy|5_73_pypy|5_73_pypy|1_73_pypy|0_73_pypy|0_73_pypy|2_73_pypy|0_73_pypy']
fenics-dolfinx -> python[version='>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0']The following specifications were found to be incompatible with your system:
- feature:/linux-64::__glibc==2.35=0
- mpich -> libgcc-ng[version='>=10.3.0'] -> __glibc[version='>=2.[17](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:18)']
Your installed version is: 2.[35](https://github.com/tiagovla/dolfinx/actions/runs/3415902752/jobs/5685509973#step:3:36)
Error: Process completed with exit code 1.``` |
FWIW, the builds on conda-forge are succeeding, but simple tests are failing with:
Apparently this assignment is not legal in 3.11. I'm not sure how to fix that. |
I get the same error with python3.11 on debian. |
You may also want to track this issue numba/numba#8304 |
Printing the class and type of both obj and Mesh at the failure point (mesh.py l.56) sees
So Mesh certainly is a "different" class to cpp.mesh.Mesh. It's a subclass that introduces ufl_cell() and ufl_domain(), with the addition of obj._ufl_domain changing the data structure. python3.10 returns the same values. Looks like python3.11 has introduced stricter type checking for the This pybind11 issue might be relevant: pybind/pybind11#1640 |
A simple workaround is to instantiate a new Mesh using obj properties, rather than changing
instead of There might be smarter pybind11 approach though. |
Python 3.11 is now the default on Archlinux, and possibly also on others. The fix unfortunately didn't make it to the latest release (0.6.0), so mesh handling is now broken for me. Given that the last release was several months ago, would it make sense to release a 0.6.1 version? Thanks! |
Current v0.6.0 release of DOLFINx appears not support Python 3.11 FEniCS/dolfinx#2423
Python 3.11 has been released: https://docs.python.org/3.11/whatsnew/3.11.html
We should probably add some test suite running over different versions of Python, and add it to the conda CI
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