conda-forge PackagesNotFoundError
torluca opened this issue · comments
Hi all,
I'm on an M1 Mac and I'm trying to install somoclu via conda, since the version in pip does not allow me to train the SOM.
The error I get is
`Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- somoclu
Current channels:
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
`
Any idea why the package is not present on conda despite trying all the possible formulas here and in somoclu-feedstock?
Thanks for the help!
Luca
We've never tried to build this on M1 and I don' t have access to a M1 device for now. Does the https://anaconda.org/conda-forge/somoclu/1.7.5/download/osx-64/somoclu-1.7.5-py310h700695d_1005.tar.bz2 x64 version work?
Thanks a lot for the fast reply.
I installed it with
conda install somoclu-1.7.5-py310h700695d_1005.tar.bz2
but when importing it gives the same warning as in pip:
Warning: the binary library cannot be imported. You cannot train maps, but you can load and analyze ones that you have already saved.
If you installed Somoclu with pip on macOS, this typically means missing a linked library. If you compiled Somoclu with GCC, please make sure you have set DYLD_LIBRARY_PATH to include the GCC path. For more information, please refer to the documentation.
Did you install the M1 version of Anaconda? Have you tried installing the x64 version of anaocnda https://repo.anaconda.com/archive/Anaconda3-2022.10-MacOSX-x86_64.pkg ?
I have the M1 version, as far as I know you can install the arm64 version only for compatibility
https://www.anaconda.com/blog/apple-silicon-transition
x64 should also run
It seems to do the trick, thanks for the help. I'm going to close the issue.