Process completed with exit code 1.

Process completed with exit code 1.

The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1

The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1

The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1

The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1

The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1

The job was canceled because "ubuntu-22_04_3_12" failed.

The job was canceled because "ubuntu-22_04_3_12" failed.

The job was canceled because "ubuntu-22_04_3_12" failed.

The job was canceled because "ubuntu-22_04_3_12" failed.

The process '/home/runner/miniconda3/condabin/mamba' failed with exit code 1

Cache not found for keys: Linux-X64-py-3-12-cached-miniforge-my-env-conda-0d9b17ae57fc3d23be108837595b715ae8dcd29a83e95c76e5ec5fc306b7a34e-20250217-0

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'.

LibMambaUnsatisfiableError: Encountered problems while solving: - nothing provides _python_rc needed by python-3.12.0rc3-rc3_hab00c5b_1_cpython Could not solve for environment specs The following packages are incompatible ├─ numpy 2.2.3** is installable with the potential options │ ├─ numpy [1.23.5|1.24.0|...|2.2.3] would require │ │ └─ python_abi 3.10.* *_cp310, which can be installed; │ ├─ numpy [1.23.5|1.24.0|...|2.2.3] would require │ │ └─ python_abi 3.11.* *_cp311, which can be installed; │ ├─ numpy 2.2.3, which can be installed; │ ├─ numpy 2.2.3 would require │ │ └─ python_abi 3.13.* *_cp313t, which can be installed; │ └─ numpy 2.2.3 would require │ └─ python_abi 3.13.* *_cp313, which can be installed; ├─ pyiron_base 0.10.9** is installable and it requires │ └─ numpy >=1.23.5,<=1.26.4 with the potential options │ ├─ numpy [1.23.5|1.24.0|...|2.2.3], which can be installed (as previously explained); │ ├─ numpy [1.23.5|1.24.0|...|2.2.3], 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|...|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] 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; └─ python 3.12** is not installable because there are no viable options ├─ python [3.12.0|3.12.1|...|3.12.9] 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).

Cache not found for keys: Linux-X64-py-3-12-cached-miniforge-my-env-conda-8bf3020d9f8e23d65b11b2aca36a9a3d43633e05bca2b7d49d11cc30145fde70-20250217-0

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'.

LibMambaUnsatisfiableError: Encountered problems while solving: - nothing provides _python_rc needed by python-3.12.0rc3-rc3_hab00c5b_1_cpython Could not solve for environment specs The following packages are incompatible ├─ numpy 2.2.3** is installable with the potential options │ ├─ numpy [1.23.5|1.24.0|...|2.2.3] would require │ │ └─ python_abi 3.10.* *_cp310, which can be installed; │ ├─ numpy [1.23.5|1.24.0|...|2.2.3] would require │ │ └─ python_abi 3.11.* *_cp311, which can be installed; │ ├─ numpy 2.2.3, which can be installed; │ ├─ numpy 2.2.3 would require │ │ └─ python_abi 3.13.* *_cp313t, which can be installed; │ └─ numpy 2.2.3 would require │ └─ python_abi 3.13.* *_cp313, which can be installed; ├─ pyiron_base 0.10.9** is installable and it requires │ └─ numpy >=1.23.5,<=1.26.4 with the potential options │ ├─ numpy [1.23.5|1.24.0|...|2.2.3], which can be installed (as previously explained); │ ├─ numpy [1.23.5|1.24.0|...|2.2.3], 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|...|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] 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; └─ python 3.12.*,>=3.10 is not installable because there are no viable options ├─ python [3.12.0|3.12.1|...|3.12.9] 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).

Cache not found for keys: Linux-X64-py-3-12-cached-miniforge-my-env-conda-1257fa83ce58c0fe11e21d925c33a8fff472a47bd7de8b019850f5201d1db0ac-20250217-0

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'.

LibMambaUnsatisfiableError: Encountered problems while solving: - nothing provides _python_rc needed by python-3.12.0rc3-rc3_hab00c5b_1_cpython Could not solve for environment specs The following packages are incompatible ├─ numpy 2.2.3** is installable with the potential options │ ├─ numpy [1.23.5|1.24.0|...|2.2.3] would require │ │ └─ python_abi 3.10.* *_cp310, which can be installed; │ ├─ numpy [1.23.5|1.24.0|...|2.2.3] would require │ │ └─ python_abi 3.11.* *_cp311, which can be installed; │ ├─ numpy 2.2.3, which can be installed; │ ├─ numpy 2.2.3 would require │ │ └─ python_abi 3.13.* *_cp313t, which can be installed; │ └─ numpy 2.2.3 would require │ └─ python_abi 3.13.* *_cp313, which can be installed; ├─ pyiron_base 0.10.9** is installable and it requires │ └─ numpy >=1.23.5,<=1.26.4 with the potential options │ ├─ numpy [1.23.5|1.24.0|...|2.2.3], which can be installed (as previously explained); │ ├─ numpy [1.23.5|1.24.0|...|2.2.3], 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|...|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] 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; └─ python 3.12** is not installable because there are no viable options ├─ python [3.12.0|3.12.1|...|3.12.9] 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).

Cache not found for keys: Linux-X64-py-3-12-cached-miniforge-my-env-conda-9a5092f83194954954c56197a9d7267895b8a3bca0ff4f41e96784b201e64fc9-20250217-0

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'.

LibMambaUnsatisfiableError: Encountered problems while solving: - nothing provides _python_rc needed by python-3.12.0rc3-rc3_hab00c5b_1_cpython Could not solve for environment specs The following packages are incompatible ├─ numpy 2.2.3** is installable with the potential options │ ├─ numpy [1.23.5|1.24.0|...|2.2.3] would require │ │ └─ python_abi 3.10.* *_cp310, which can be installed; │ ├─ numpy [1.23.5|1.24.0|...|2.2.3] would require │ │ └─ python_abi 3.11.* *_cp311, which can be installed; │ ├─ numpy 2.2.3, which can be installed; │ ├─ numpy 2.2.3 would require │ │ └─ python_abi 3.13.* *_cp313t, which can be installed; │ └─ numpy 2.2.3 would require │ └─ python_abi 3.13.* *_cp313, which can be installed; ├─ pyiron_base 0.10.9** is installable and it requires │ └─ numpy >=1.23.5,<=1.26.4 with the potential options │ ├─ numpy [1.23.5|1.24.0|...|2.2.3], which can be installed (as previously explained); │ ├─ numpy [1.23.5|1.24.0|...|2.2.3], 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|...|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] 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; └─ python 3.12** is not installable because there are no viable options ├─ python [3.12.0|3.12.1|...|3.12.9] 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).

Cache not found for keys: Linux-X64-py-3-12-cached-miniforge-my-env-conda-1257fa83ce58c0fe11e21d925c33a8fff472a47bd7de8b019850f5201d1db0ac-20250217-0

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'.

LibMambaUnsatisfiableError: Encountered problems while solving: - nothing provides _python_rc needed by python-3.12.0rc3-rc3_hab00c5b_1_cpython Could not solve for environment specs The following packages are incompatible ├─ numpy 2.2.3** is installable with the potential options │ ├─ numpy [1.23.5|1.24.0|...|2.2.3] would require │ │ └─ python_abi 3.10.* *_cp310, which can be installed; │ ├─ numpy [1.23.5|1.24.0|...|2.2.3] would require │ │ └─ python_abi 3.11.* *_cp311, which can be installed; │ ├─ numpy 2.2.3, which can be installed; │ ├─ numpy 2.2.3 would require │ │ └─ python_abi 3.13.* *_cp313t, which can be installed; │ └─ numpy 2.2.3 would require │ └─ python_abi 3.13.* *_cp313, which can be installed; ├─ pyiron_base 0.10.9** is installable and it requires │ └─ numpy >=1.23.5,<=1.26.4 with the potential options │ ├─ numpy [1.23.5|1.24.0|...|2.2.3], which can be installed (as previously explained); │ ├─ numpy [1.23.5|1.24.0|...|2.2.3], 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|...|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] 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; └─ python 3.12** is not installable because there are no viable options ├─ python [3.12.0|3.12.1|...|3.12.9] 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).

Cache not found for keys: Linux-X64-py-3-12-cached-miniforge-my-env-conda-1257fa83ce58c0fe11e21d925c33a8fff472a47bd7de8b019850f5201d1db0ac-20250217-0

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'.