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Currently the environments on the hpc-master node require ~10GB of RAM in order for conda to be able to solve them. It'd be nice to be able to use conda lock files to avoid the long solve step.
The text was updated successfully, but these errors were encountered:
This could be done, however, it would be of limited use with the existing conda enviornments in the repo. The stable release of conda-lock at this time doesn't have support for pip dependencies though the main branch does. However, even the main branch at this time doesn't support syntax like https://github.com/jupyterhub/batchspawner/archive/129951ad11e3049567b94adb8c9725dc22225a1a.tar.gz in the environment files which is used heavily in the environments in this repo at this time.
Currently the environments on the hpc-master node require ~10GB of RAM in order for conda to be able to solve them. It'd be nice to be able to use conda lock files to avoid the long solve step.
The text was updated successfully, but these errors were encountered: