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Old mne version with installation from conda-forge on linux-64

See original GitHub issue

Describe the bug

The installation of mne via conda commands on Linux doesn’t install the newest version.

Steps to reproduce

conda create --name mne --channel conda-forge mne

Expected result

currently mne==1.0.2

Actual result

mne==0.23.4

mne sys_info

Platform:      Linux-5.13.0-40-generic-x86_64-with-glibc2.31
Python:        3.9.12 | packaged by conda-forge | (main, Mar 24 2022, 23:25:59)  [GCC 10.3.0]
Executable:    <home>/miniconda3/envs/mne/bin/python
CPU:           x86_64: 32 cores
Memory:        31.3 GB

mne:           0.23.4
numpy:         1.22.3 {blas=NO_ATLAS_INFO, lapack=lapack}
scipy:         1.8.0
matplotlib:    3.5.1 {backend=QtAgg}

sklearn:       1.0.2
numba:         Not found
nibabel:       3.2.2
nilearn:       0.9.1
dipy:          1.5.0
cupy:          Not found
pandas:        1.4.2
mayavi:        4.7.4
pyvista:       0.34.0 {pyvistaqt=0.9.0, OpenGL 4.6.0 NVIDIA 470.103.01 via Quadro K5200/PCIe/SSE2}
vtk:           
PyQt5:         5.9.2

Issue Analytics

  • State:closed
  • Created a year ago
  • Comments:13 (13 by maintainers)

github_iconTop GitHub Comments

1reaction
marsipucommented, Apr 30, 2022

Yes, this seems to solve the problem. But it seems that the default value for channel_priority in conda is flexible. Should we warn about this in the docs?

mne sys_info Platform: Linux-5.13.0-40-generic-x86_64-with-glibc2.31 Python: 3.10.4 | packaged by conda-forge | (main, Mar 24 2022, 17:38:57) [GCC 10.3.0] Executable: <home>/miniconda3/envs/mne/bin/python3.10 CPU: x86_64: 32 cores Memory: 31.3 GB

mne: 1.0.2 numpy: 1.21.6 {blas=NO_ATLAS_INFO, lapack=lapack} scipy: 1.8.0 matplotlib: 3.5.1 {backend=QtAgg}

sklearn: 1.0.2 numba: 0.55.1 nibabel: 3.2.2 nilearn: 0.9.1 dipy: 1.5.0 cupy: Not found pandas: 1.4.2 pyvista: 0.34.0 {OpenGL 4.5.0 NVIDIA 470.103.01 via Quadro K5200/PCIe/SSE2} pyvistaqt: 0.9.0 ipyvtklink: 0.2.2 vtk: 9.1.0 PyQt5: 5.12.3 ipympl: Not found pooch: v1.6.0

mne_bids: Not found mne_nirs: Not found mne_features: Not found mne_qt_browser: 0.3.0 mne_connectivity: Not found

1reaction
marsipucommented, Apr 30, 2022

conda config --show channel_priority

channel-priority: flexible

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