Bump numpy from 2.2.1 to 2.2.2 #6288
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7 errors and 4 warnings
build (ubuntu-latest, 3.12, linux-64-py-3-12)
The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1
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build (ubuntu-latest, 3.11, linux-64-py-3-11)
The job was canceled because "ubuntu-latest_3_12_linux-" failed.
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build (ubuntu-latest, 3.11, linux-64-py-3-11)
The operation was canceled.
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build (macos-latest, 3.12, osx-64-py-3-12)
The job was canceled because "ubuntu-latest_3_12_linux-" failed.
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build (macos-latest, 3.12, osx-64-py-3-12)
The operation was canceled.
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build (windows-latest, 3.12, win-64-py-3-12)
The job was canceled because "ubuntu-latest_3_12_linux-" failed.
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build (windows-latest, 3.12, win-64-py-3-12)
The operation was canceled.
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build (ubuntu-latest, 3.12, linux-64-py-3-12)
ubuntu-latest pipelines will use ubuntu-24.04 soon. For more details, see https://github.com/actions/runner-images/issues/10636
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build (ubuntu-latest, 3.12, linux-64-py-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'.
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build (ubuntu-latest, 3.12, linux-64-py-3-12)
LibMambaUnsatisfiableError: Encountered problems while solving:
- nothing provides requested h5io_browser 0.1.6**
- nothing provides _numpy_rc needed by numpy-2.0.0rc1-py310h515e003_0
Could not solve for environment specs
The following packages are incompatible
├─ h5io_browser 0.1.6** does not exist (perhaps a typo or a missing channel);
├─ numpy 2.2.2** is installable with the potential options
│ ├─ numpy [1.23.5|1.24.0|...|2.2.2] would require
│ │ └─ python_abi 3.10.* *_cp310, which can be installed;
│ ├─ numpy [1.23.5|1.24.0|...|2.2.2] would require
│ │ └─ python_abi 3.11.* *_cp311, which can be installed;
│ ├─ numpy [2.1.0|2.1.1|...|2.2.2] would require
│ │ └─ python_abi 3.13.* *_cp313, which can be installed;
│ ├─ numpy [2.1.2|2.1.3|2.2.0|2.2.1|2.2.2] would require
│ │ └─ python_abi 3.13.* *_cp313t, which can be installed;
│ └─ numpy 2.2.2, which can be installed;
├─ pyfileindex 0.0.32** is installable and it requires
│ └─ numpy >=1.23.5,<=2.2.1 with the potential options
│ ├─ numpy [1.23.5|1.24.0|...|2.2.2], which can be installed (as previously explained);
│ ├─ numpy [1.23.5|1.24.0|...|2.2.2], which can be installed (as previously explained);
│ ├─ 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|...|2.0.2] 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|...|2.2.1] conflicts with any installable versions previously reported;
│ ├─ 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;
│ ├─ numpy [2.0.0rc1|2.0.0rc2|2.1.0rc1|2.2.0rc1] would require
│ │ └─ _numpy_rc, which does not exist (perhaps a missing channel);
│ ├─ numpy [2.1.0|2.1.1|...|2.2.2], which can be installed (as previously explained);
│ └─ numpy [2.1.2|2.1.3|2.2.0|2.2.1|2.2.2], which can be installed (as previously explained);
└─ python 3.12** is not installable because there are no viable options
├─ python [3.12.0|3.12.1|...|3.12.8] would require
│ └─ python_abi 3.12.* *_cp312, which conflicts with any installable versions previously reported;
└─ python 3.12.0rc3 would require
└─ _python_rc, which does not exist (perhaps a missing channel).
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build (ubuntu-latest, 3.11, linux-64-py-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'.
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