Closed hoechenberger closed 2 years ago
The installer title says it's version 1.0.3_0, but it should be 1.0.3_1 🤔
Edit: This is being addressed in #129
Looking good so far:
❯ mne sys_info
Platform: macOS-12.4-arm64-arm-64bit
Python: 3.10.4 | packaged by conda-forge | (main, Mar 24 2022, 17:42:03) [Clang 12.0.1 ]
Executable: /Applications/MNE-Python/.mne-python/bin/python3.10
CPU: arm: 8 cores
Memory: 16.0 GB
mne: 1.0.3
numpy: 1.21.6 {blas=NO_ATLAS_INFO, lapack=lapack}
scipy: 1.8.1
matplotlib: 3.5.2 {backend=MacOSX}
sklearn: 1.1.1
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 4.1 Metal - 76.3 via Apple M1}
pyvistaqt: 0.9.0
ipyvtklink: 0.2.2
vtk: 9.1.0
PyQt5: 5.15.4
ipympl: 0.9.1
pooch: v1.6.0
mne_bids: 0.10
mne_nirs: 0.2.1
mne_features: 0.2
mne_qt_browser: 0.3.1
mne_connectivity: 0.3
Spyder is working too
3D viz works:
Awesome, sounds like we're good to go, then, right?
@larsoner We still need #129 or at least the part of it that bumps the build number to 1.0.3_1
Then force-delete the 1.0.3-post1 tag I created
Then make a new draft release again
and then we can publish it :)
@larsoner Updated installers:
https://github.com/mne-tools/mne-installers/releases/tag/untagged-9abf6bfabc91dd37b429
We must not forget to test the Intel installers on Apple Silicon too
Feel free to publish this release if you're happy
As per discussion on Discord, we're holding off the new release until we have MNE 1.1, to not compromise the "wow" effect of the new native builds :) so the idea is to announce 1.1 together with the M1 builds.
I think we've tested these so I'll close. I'll cut a prerelease and we should test on every platform anyway
https://github.com/mne-tools/mne-installers/releases/tag/untagged-41d19bf875fbbe3e2fab