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Bump numpy from 1.26.4 to 2.2.1 #637

Bump numpy from 1.26.4 to 2.2.1

Bump numpy from 1.26.4 to 2.2.1 #637

Triggered via pull request December 23, 2024 03:30
Status Failure
Total duration 1m 27s
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unittests-mpich.yml

on: pull_request
Matrix: build
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5 errors and 6 warnings
build (3.11)
The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1
build (3.10)
The job was canceled because "_3_11" failed.
build (3.10)
The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1
build (3.12)
The job was canceled because "_3_11" failed.
build (3.12)
The operation was canceled.
build (3.11)
ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636
build (3.11)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
build (3.11)
LibMambaUnsatisfiableError: Encountered problems while solving: - nothing provides __cuda needed by lammps-2024.06.27-cuda118_py310_h0891862_mpi_mpich_0 Could not solve for environment specs The following packages are incompatible ├─ lammps 2024.06.27 *_mpi_mpich_* is installable with the potential options │ ├─ lammps 2024.06.27 would require │ │ └─ python_abi 3.9 *_pypy39_pp73, which can be installed; │ ├─ lammps 2024.06.27 would require │ │ └─ python_abi 3.10.* *_cp310, which can be installed; │ ├─ lammps 2024.06.27 would require │ │ ├─ numpy >=1.23.5,<2.0a0 with the potential options │ │ │ ├─ numpy [1.23.5|1.24.0|...|2.2.1] would require │ │ │ │ └─ python_abi 3.10.* *_cp310, which can be installed; │ │ │ ├─ numpy [1.23.5|1.24.0|...|1.26.4], which can be installed; │ │ │ ├─ numpy [1.23.5|1.24.0|...|1.24.4] would require │ │ │ │ └─ python_abi 3.8.* *_cp38, which can be installed; │ │ │ ├─ numpy [1.23.5|1.24.0|1.24.1] would require │ │ │ │ └─ python_abi 3.8 *_pypy38_pp73, which can be installed; │ │ │ ├─ numpy [1.23.5|1.24.0|...|1.26.4] would require │ │ │ │ └─ python_abi 3.9.* *_cp39, which can be installed; │ │ │ ├─ numpy [1.23.5|1.24.0|1.24.1] would require │ │ │ │ └─ python_abi 3.9 *_pypy39_pp73, which can be installed; │ │ │ ├─ numpy [1.24.2|1.24.3|1.24.4] would require │ │ │ │ └─ pypy3.8 >=7.3.11 , which can be installed; │ │ │ ├─ numpy [1.24.2|1.24.3|...|1.25.2] would require │ │ │ │ └─ pypy3.9 >=7.3.11 , which can be installed; │ │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4|2.2.1] would require │ │ │ │ └─ python_abi 3.12.* *_cp312, which can be installed; │ │ │ ├─ numpy 1.26.0 would require │ │ │ │ └─ pypy3.9 >=7.3.12 , which can be installed; │ │ │ ├─ numpy [1.26.2|1.26.3] would require │ │ │ │ └─ pypy3.9 >=7.3.13 , which can be installed; │ │ │ └─ numpy 1.26.4 would require │ │ │ └─ pypy3.9 >=7.3.15 , which can be installed; │ │ ├─ python >=3.11,<3.12.0a0 , which can be installed; │ │ └─ quippy >=0.9.14,<0.10.0a0 with the potential options │ │ ├─ quippy 0.9.14 would require │ │ │ └─ numpy >=1.23.5,<2.0a0 with the potential options │ │ │ ├─ numpy [1.23.5|1.24.0|...|2.2.1], which can be installed (as previously explained); │ │ │ ├─ numpy [1.23.5|1.24.0|...|1.26.4], which can be installed; │ │ │ ├─ numpy [1.23.5|1.24.0|...|1.24.4], which can be installed (as previously explained); │ │ │ ├─ numpy [1.23.5|1.24.0|1.24.1], which can be installed (as previously explained); │ │ │ ├─ numpy [1.23.5|1.24.0|...|1.26.4], which can be installed (as previously explained); │ │ │ ├─ numpy [1.23.5|1.24.0|1.24.1], which can be installed (as previously explained); │ │ │ ├─ numpy [1.24.2|1.24.3|1.24.4], which can be installed (as previously explained); │ │ │ ├─ numpy [1.24.2|1.24.3|...|1.25.2], which can be installed (as previously explained); │ │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4|2.2.1], which can be installed (as previously explained); │ │ │ ├─ numpy 1.26.0, which can be installed (as previously explained); │ │ │ ├─ numpy [1.26.2|1.26.3], which can be installed (as previously explained); │ │ │ └─ numpy 1.26.4, which can be installed (as previously explained); │ │ ├─ quippy 0.9.14 would require │ │ │ └─ python_abi 3.10.* *_cp310, which can be installed; │ │ ├─ quippy 0.9.14 would require │ │ │ └─ python_abi 3.8.* *_cp38, which can be installed; │ │ ├─ quippy 0.9.14 would require │ │ │ └─ python_abi 3.9.* *_cp39, which can be installed; │ │ └─ quippy 0.9.14 would require │ │ └─ pypy3.9 >=7.3.13 , which can be installed; │ ├─ lammps 2024.06.27 would require │ │ └─ python_abi 3.12.* *_cp312, which can be installed; │ ├─ lammps 2024.06.27 would require │ │ └─ python_abi 3.8.* *_cp38, which can be installed; │ ├─ lammps 2024.06.27 would require │ │ └─ python_abi 3.9.* *_cp39, which can be installed; │ └─ lammps 2024.06.27 would require │ └─ __cuda, which is
build (3.10)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
build (3.10)
LibMambaUnsatisfiableError: Encountered problems while solving: - nothing provides __cuda needed by lammps-2024.06.27-cuda118_py310_h0891862_mpi_mpich_0 Could not solve for environment specs The following packages are incompatible ├─ lammps 2024.06.27 *_mpi_mpich_* is installable with the potential options │ ├─ lammps 2024.06.27 would require │ │ └─ python_abi 3.9 *_pypy39_pp73, which can be installed; │ ├─ lammps 2024.06.27 would require │ │ ├─ numpy >=1.22.4,<2.0a0 with the potential options │ │ │ ├─ numpy [1.22.4|1.23.0|...|1.26.4], which can be installed; │ │ │ ├─ numpy [1.22.4|1.23.0|...|1.24.1] would require │ │ │ │ └─ python_abi 3.8 *_pypy38_pp73, which can be installed; │ │ │ ├─ numpy [1.22.4|1.23.0|...|1.24.4] would require │ │ │ │ └─ python_abi 3.8.* *_cp38, which can be installed; │ │ │ ├─ numpy [1.22.4|1.23.0|...|1.26.4] would require │ │ │ │ └─ python_abi 3.9.* *_cp39, which can be installed; │ │ │ ├─ numpy [1.22.4|1.23.0|...|1.24.1] would require │ │ │ │ └─ python_abi 3.9 *_pypy39_pp73, which can be installed; │ │ │ ├─ numpy [1.23.4|1.23.5|...|2.2.1] would require │ │ │ │ └─ python_abi 3.11.* *_cp311, which can be installed; │ │ │ ├─ numpy [1.24.2|1.24.3|1.24.4] would require │ │ │ │ └─ pypy3.8 >=7.3.11 , which can be installed; │ │ │ ├─ numpy [1.24.2|1.24.3|...|1.25.2] would require │ │ │ │ └─ pypy3.9 >=7.3.11 , which can be installed; │ │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4|2.2.1] would require │ │ │ │ └─ python_abi 3.12.* *_cp312, which can be installed; │ │ │ ├─ numpy 1.26.0 would require │ │ │ │ └─ pypy3.9 >=7.3.12 , which can be installed; │ │ │ ├─ numpy [1.26.2|1.26.3] would require │ │ │ │ └─ pypy3.9 >=7.3.13 , which can be installed; │ │ │ └─ numpy 1.26.4 would require │ │ │ └─ pypy3.9 >=7.3.15 , which can be installed; │ │ ├─ python >=3.10,<3.11.0a0 with the potential options │ │ │ ├─ python 3.10.8 would require │ │ │ │ └─ graalpy >=23.0.0,<23.0.1.0a0 , which requires │ │ │ │ └─ python_abi 3.10.* *_graalpy230_310_native, which can be installed; │ │ │ └─ python [3.10.0|3.10.1|...|3.10.9], which can be installed; │ │ └─ python_abi 3.10.* *_cp310 but there are no viable options │ │ ├─ python_abi 3.10 conflicts with any installable versions previously reported; │ │ └─ python_abi 3.10 would require │ │ └─ python 3.10.* *_cpython, which conflicts with any installable versions previously reported; │ ├─ lammps 2024.06.27 would require │ │ ├─ python_abi 3.10.* *_cp310 but there are no viable options │ │ │ ├─ python_abi 3.10 conflicts with any installable versions previously reported; │ │ │ └─ python_abi 3.10, which cannot be installed (as previously explained); │ │ └─ quippy >=0.9.14,<0.10.0a0 with the potential options │ │ ├─ quippy 0.9.14 would require │ │ │ └─ numpy >=1.22.4,<2.0a0 with the potential options │ │ │ ├─ numpy [1.22.4|1.23.0|...|1.26.4], which can be installed; │ │ │ ├─ numpy [1.22.4|1.23.0|...|1.24.1], which can be installed (as previously explained); │ │ │ ├─ numpy [1.22.4|1.23.0|...|1.24.4], which can be installed (as previously explained); │ │ │ ├─ numpy [1.22.4|1.23.0|...|1.26.4], which can be installed (as previously explained); │ │ │ ├─ numpy [1.22.4|1.23.0|...|1.24.1], which can be installed (as previously explained); │ │ │ ├─ numpy [1.23.4|1.23.5|...|2.2.1], which can be installed (as previously explained); │ │ │ ├─ numpy [1.24.2|1.24.3|1.24.4], which can be installed (as previously explained); │ │ │ ├─ numpy [1.24.2|1.24.3|...|1.25.2], which can be installed (as previously explained); │ │ │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4|2.2.1], which can be installed (as previously explained); │ │ │ ├─ numpy 1.26.0, which can be installed (as previously explained); │ │ │ ├─ numpy [1.26.2|1.26.3], which can be installed (as previously explained); │ │ │ └─ numpy 1.26.4, which can be installed (as previously explained); │ │
build (3.12)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.