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Bump numpy from 1.26.4 to 2.2.1 #1112

Bump numpy from 1.26.4 to 2.2.1

Bump numpy from 1.26.4 to 2.2.1 #1112

Triggered via pull request January 8, 2025 11:26
Status Failure
Total duration 1m 26s
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unittests.yml

on: pull_request
Matrix: build
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9 errors and 5 warnings
build (ubuntu-latest, 3.10, linux-64-py-3-10, /usr/share/miniconda3/envs/my-env)
The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1
build (ubuntu-latest, 3.12, linux-64-py-3-12, /usr/share/miniconda3/envs/my-env)
The job was canceled because "ubuntu-latest_3_10_linux-" failed.
build (ubuntu-latest, 3.11, linux-64-py-3-11, /usr/share/miniconda3/envs/my-env)
The job was canceled because "ubuntu-latest_3_10_linux-" failed.
build (macos-latest, 3.12, osx-64-py-3-12, /Users/runner/miniconda3/envs/my-env)
The job was canceled because "ubuntu-latest_3_10_linux-" failed.
build (windows-latest, 3.12, win-64-py-3-12, C:\Miniconda3\envs\my-env)
The job was canceled because "ubuntu-latest_3_10_linux-" failed.
build (ubuntu-latest, 3.10, linux-64-py-3-10, /usr/share/miniconda3/envs/my-env)
ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636
build (ubuntu-latest, 3.10, linux-64-py-3-10, /usr/share/miniconda3/envs/my-env)
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 (ubuntu-latest, 3.10, linux-64-py-3-10, /usr/share/miniconda3/envs/my-env)
LibMambaUnsatisfiableError: Encountered problems while solving: - package scipy-1.15.0-py311hc1ac118_0 requires python >=3.11,<3.12.0a0, but none of the providers can be installed Could not solve for environment specs The following packages are incompatible ├─ numpy 2.2.1** is installable with the potential options │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4|2.2.1] would require │ │ └─ python_abi 3.11.* *_cp311, 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 2.2.1, which can be installed; │ ├─ numpy 2.2.1 would require │ │ └─ python_abi 3.13.* *_cp313t, which can be installed; │ └─ numpy 2.2.1 would require │ └─ python_abi 3.13.* *_cp313, which can be installed; ├─ python 3.10** is installable 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] would require │ └─ python_abi 3.10.* *_cp310, which conflicts with any installable versions previously reported; ├─ pyxtal 1.0.6** is installable and it requires │ └─ numpy >=1.26,<2 with the potential options │ ├─ numpy [1.26.0|1.26.2|1.26.3|1.26.4] conflicts with any installable versions previously reported; │ ├─ 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|1.26.2|1.26.3|1.26.4|2.2.1], which can be installed (as previously explained); │ ├─ numpy 1.26.0 would require │ │ └─ pypy3.9 >=7.3.12 , 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 [1.26.2|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; │ └─ numpy [2.0.0rc1|2.0.0rc2] would require │ └─ _numpy_rc, which does not exist (perhaps a missing channel); ├─ scikit-learn 1.6.0** is installable with the potential options │ ├─ scikit-learn 1.6.0 would require │ │ ├─ python >=3.9,<3.10.0a0 , which conflicts with any installable versions previously reported; │ │ └─ python_abi 3.9.* *_cp39, which can be installed; │ ├─ scikit-learn 1.6.0 would require │ │ ├─ python >=3.10,<3.11.0a0 with the potential options │ │ │ ├─ python 3.10.8, which can be installed (as previously explained); │ │ │ └─ python [3.10.0|3.10.1|...|3.10.9], which cannot be installed (as previously explained); │ │ └─ 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; │ ├─ scikit-learn 1.6.0 would require │ │ ├─ python >=3.11,<3.12.0a0 , which conflicts with any installable versions previously reported; │ │ └─ python_abi 3.11.* *_cp311, which can be installed; │ ├─ scikit-learn 1.6.0 would require │ │ └─ python_abi 3.12.* *_cp312, which can be installed; │ └─ scikit-learn 1.6.0 would require │ └─ python_abi 3.13.* *_cp313, which can be installed; └─ scipy 1.15.0** is installable with the potential options ├─ scipy 1.15.0 would require │ ├─ python >=3.11,<3.12.0a0 , which conflicts with any installable versions previously reported; │ └─ python_abi 3.11.* *_cp311, which can be installed; ├─ scipy 1.15.0 would require │ └─ python >=3.10,<3.11.0a0 with the potential options │ ├─ python 3.10.8, which can be installed (as previously explained); │ └─ python [3.10.0|3.10.1|...|3.10.9], which cannot be installed (as previously explained); ├─ scipy 1.15.0 would require │ └─ python_abi 3.12.* *_cp312, which can be installed; ├─ scipy 1.15.0 would require │ └─ python_abi 3.13.* *_cp313t, which can be installed; └─ scipy 1.15.0 woul
build (ubuntu-latest, 3.12, linux-64-py-3-12, /usr/share/miniconda3/envs/my-env)
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 (ubuntu-latest, 3.11, linux-64-py-3-11, /usr/share/miniconda3/envs/my-env)
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'.