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Mayor update based on Jans shared env #1898

Mayor update based on Jans shared env

Mayor update based on Jans shared env #1898

Triggered via pull request October 13, 2025 15:20
Status Failure
Total duration 1m 24s
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testing.yml

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1 error and 4 warnings
pip_check
The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1
pip_check
critical libmamba Could not solve for environment specs
pip_check
error libmamba Could not solve for environment specs The following packages are incompatible ├─ executorlib =1.7.1 * is requested and can be installed; ├─ gpaw =25.1.0 *openmpi* does not exist (perhaps a typo or a missing channel); ├─ matgl =1.1.2 * is installable and it requires │ └─ pytorch <=2.2.1 * with the potential options │ ├─ pytorch [1.11.0|1.12.0|...|2.1.2] would require │ │ └─ python_abi =3.10 *_cp310, which can be installed; │ ├─ pytorch [1.13.0|1.13.1|2.0.0|2.1.0|2.1.2] would require │ │ └─ python_abi =3.11 *_cp311, which can be installed; │ ├─ pytorch [1.10.0|1.10.1|...|2.1.2] would require │ │ └─ python_abi =3.8 *_cp38, which can be installed; │ ├─ pytorch [1.10.0|1.10.1|...|2.1.2] would require │ │ └─ python_abi =3.9 *_cp39, which can be installed; │ ├─ pytorch [1.11.0|1.12.0|...|2.1.2] would require │ │ └─ __cuda =* *, which is missing on the system; │ ├─ pytorch 2.1.0 would require │ │ └─ numpy >=1.26.0,<2.0a0 * with the potential options │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4|2.3.3] would require │ │ │ └─ python_abi =3.11 *_cp311, which can be installed; │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4] would require │ │ │ └─ python_abi =3.10 *_cp310, which can be installed; │ │ ├─ numpy [1.26.0|1.26.2], which can be installed; │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4] would require │ │ │ └─ python_abi ==3.9 *_pypy39_pp73, which can be installed; │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4] would require │ │ │ └─ python_abi =3.9 *_cp39, which can be installed; │ │ ├─ numpy 1.26.3, which can be installed; │ │ └─ numpy 1.26.4, which can be installed; │ ├─ pytorch [2.1.0|2.1.2] would require │ │ └─ numpy >=1.26.3,<2.0a0 * with the potential options │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4|2.3.3], which can be installed (as previously explained); │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4], which can be installed (as previously explained); │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4], which can be installed (as previously explained); │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4], which can be installed (as previously explained); │ │ ├─ numpy 1.26.3, which can be installed; │ │ └─ numpy 1.26.4, which can be installed; │ ├─ pytorch 2.1.2 would require │ │ └─ numpy >=1.26.4,<2.0a0 * with the potential options │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4|2.3.3], which can be installed (as previously explained); │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4], which can be installed (as previously explained); │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4], which can be installed (as previously explained); │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4], which can be installed (as previously explained); │ │ └─ numpy 1.26.4, which can be installed; │ ├─ pytorch [1.10.0|1.10.1|...|1.9.1] would require │ │ └─ python >=3.7,<3.8.0a0 *, which can be installed; │ └─ pytorch [1.6.0|1.7.1|1.8.0|1.9.0|1.9.1] would require │ └─ python_abi =3.6 *_cp36m, which can be installed; ├─ maxvolpy =0.3.8 * is installable with the potential options │ ├─ maxvolpy 0.3.8 would require │ │ └─ python_abi =3.10 *_cp310, which can be installed; │ ├─ maxvolpy 0.3.8 would require │ │ └─ python_abi =3.11 *_cp311, which can be installed; │ ├─ maxvolpy 0.3.8 would require │ │ └─ numpy >=2.3.3,<3.0a0 * with the potential options │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4|2.3.3], which can be installed (as previously explained); │ │ ├─ numpy 2.3.3 conflicts with any installable versions previously reported; │ │ ├─ numpy 2.3.3 would require │ │ │ └─ python_abi =3.13 *_cp313, which can be installed; │ │ ├─ numpy 2.3.3 would require │ │
pip_check
CondaKeyError: 'channels': value 'defaults' not present in config
pip_check
'nodefaults' channel detected: will remove 'defaults' if added implicitly. In the future, 'nodefaults' to remove 'defaults' won't be supported. Please set 'conda-remove-defaults' = 'true' in setup-miniconda to remove this warning.